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Preprint ARTICLE | doi:10.20944/preprints202110.0049.v2

Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting

Zheng Fang, David L. Dowe, Shelton Peiris, Dedi Rosadi

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: long short-term memory; minimum message length; time series; neural network; deep learning; Bayesian statistics; probabilistic modeling

Online: 12 October 2021 (11:41:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0622.v1

Deep Learning versus Spectral Techniques for Frequency Estimation of Single-Tones: Reduced Complexity for SDR and IoT Sensor Communications

Hind Almayyali, Zahir M. Hussain

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Frequency Estimation; Deep Learning (DL); Sensors; Internet of Things (IoT); Short Word-Length (SWL); Software-Defined Radio (SDR); Parallel-Computing FFT; Low-Power; Low-Cost; Biomedical Sensors.

Online: 26 February 2021 (15:22:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202207.0039.v1

Symmetrical Simulation Scheme for Anomaly Detection in Autonomous Vehicles Based on LSTM Model

Abdulaziz A. Alsulami, Qasem Abu Al-Haija, Ali Alqahtani, Raed Alsini

Subject: Engineering, Electrical And Electronic Engineering Keywords: Autonomous vehicles (A.V.); Anomaly Detection (A.D.); Deep Learning (DL), Symmetry; Long Short-Term Memory (LSTM); False Data Injection (FDI) Attacks

Online: 4 July 2022 (08:14:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0189.v1

Study on the Mechanical Properties of BFRP Tube Confined Concrete Short Columns under Axial Compression

Xindong DING, Shuqing Wang, Yu Liu, Zepeng Zheng

Subject: Engineering, Civil Engineering Keywords: BFRP square tube; Concrete short column; Axial compression test; Simulation analysis

Online: 8 September 2020 (11:29:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201911.0259.v1

Deformation Analysis of Reinforced Beams Made of Lightweight Aggregate Concrete

Darius Bacinskas, Deividas Rumsys, Aleksandr Sokolov, Gintaris Kaklauskas

Subject: Engineering, Civil Engineering Keywords: lightweight aggregate concrete; reinforced concrete; flexural elements; curvature; short-term loading; tension stiffening; constitutive model; numerical modelling.

Online: 22 November 2019 (08:28:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202206.0230.v1

How the First Year of the COVID-19 Pandemic Impacted Patients’ Care in the Vascular Surgery Divisions of the Southern Regions of the Italian Peninsula

Eugenio Martelli, Giovanni Sotgiu, Laura Saderi, Massimo Federici, Giuseppe Sangiorgi, Matilde Zamboni, Allegra Rosa Martelli, Giancarlo Accarino, Giuseppe Bianco, Francesco Bonanno, Umberto Marcello Bracale, Enrico Cappello, Giovanni Cioffi, Giovanni Colacchio, Adolfo Crinisio, Salvatore De Vivo, Carlo Patrizio Dionisi, Loris Flora, Giovanni Impedovo, Francesco Intrieri, Luca Iorio, Gabriele Maritati, Piero Modugno, Mario Monaco, Giuseppe Natalicchio, Vincenzo Palazzo, Fernando Petrosino, Francesco Pompeo, Raffaele Pulli, Davide Razzano, Maurizio Ruggero Ruggieri, Carlo Ruotolo, Paolo Sangiuolo, Gennaro Vigliotti, Pietro Volpe, Antonella Biello, Pietro Boggia, Michelangelo Boschetti, Enrico Maria Centritto, Flavia Condò, Lucia Cucciolillo, Amodio Salvatore D'Amodio, Mario De Laurentis, Claudio Desantis, Daniela Di Lella, Giovanni Di Nardo, Angelo Disabato, Ilaria Ficarelli, Angelo Gasparre, Antonio Nicola Giordano, Alessandro Luongo, Mafalda Massara, Vincenzo Molinari, Andrea Padricelli, Marco Panagrosso, Anna Petrone, Serena Pisanello, Roberto Prunella, Michele Tedesco, Alberto Maria Settembrini

Subject: Medicine And Pharmacology, Hematology Keywords: COVID-19; carotid stenosis; abdominal aortic aneurysm; chronic limb-threatening ischemia; amputation; deep venous thrombosis

Online: 16 June 2022 (04:40:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0502.v1

Flexible Working Memory Model in Spiking Neural Network With Two Types of Plasticity

Natalia S. Kovaleva, Valery V. Matrosov, Mikhail Mishchenko

Subject: Computer Science And Mathematics, Computer Science Keywords: working memory; STDP; short-term plasticity; spiking neural network; flexible cluster formation

Online: 27 January 2023 (10:32:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0152.v1

Eugenio Martelli, Matilde Zamboni, Giovanni Sotgiu, Laura Saderi, Massimo Federici, Giuseppe Massimo Sangiorgi, Mariangela Valentina Puci, Allegra Rosa Martelli, Teresa Messina, Paolo Frigatti, Maria Pia Borrelli, Carlo Ruotolo, Ilaria Ficarelli, Paolo Rubino, Francesco Pezzo, Luciano Carbonari, Andrea Angelini, Edoardo Galeazzi, Luca Calia Di Pinto, Franco Michelino Fiore, Armado Palmieri, Giorgio Ventoruzzo, Giulia Mazzitelli, Franco Ragni, Antonio Bozzani, Enzo Forliti, Claudio Castagno, Pietro Volpe, Mafalda Massara, Diego Moniaci, Elisa Pagliasso, Tania Peretti, Mauro Ferrari, Nicola Troisi, Pietro Modugno, Maurizio Maiorano, Umberto Marcello Bracale, Marco Panagrosso, Mario Monaco, Giovanni Giordano, Giuseppe Natalicchio, Antonella Biello, Giovanni Maria Celoria, Alessio Amico, Mauro Di Bartolo, Massimiliano Martelli, Roberta Munaó, Davide Razzano, Giovanni Colacchio, Francesco Bussetti, Gaetano Lanza, Antonio Cardini, Bartolomeo Di Benedetto, Mario De Laurentis, Maurizio Taurino, Pasqualino Sirignano, Pierluigi Cappiello, Andrea Esposito, Santi Trimarchi, Silvia Romagnoli, Andrea Padricelli, Giorgio Giudice, Adolfo Crinisio, Giovanni Di Nardo, Giuseppe Battaglia, Rosario Tringale, Salvatore De Vivo, Rita Compagna, Valerio Stefano Tolva, Ilenia D'Alessio, Ruggiero Curci, Simona Giovannetti, Giuseppe D'Arrigo, Giusi Basile, Dalmazio Frigerio, Gian Franco Veraldi, Luca Mezzetto, Arnaldo Ippoliti, Fabio Massimo Oddi, Alberto Maria Settembrini

Subject: Medicine And Pharmacology, Hematology Keywords: chronic limb-threatening ischemia; outcome; sex; age; limb salvage

Online: 8 December 2022 (09:39:30 CET)

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Preprint REVIEW | doi:10.20944/preprints201912.0211.v1

Generation of Retinaldehyde for Retinoic Acid Biosynthesis

Olga V. Belyaeva, Mark K. Adams, Kirill M. Popov, Natalia Y. Kedishvili

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: retinoic acid; retinol; retinaldehyde; short-chain dehydrogenase; vitamin a; retinol dehydrogenase; retinaldehyde reductase; embryogenesis

Online: 16 December 2019 (07:18:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0058.v1

Metabolic Stability of New Mito-Protective Short-Chain Naphthoquinones

Zikai Feng, Jason A. Smith, Nuri Gueven, Joselito P. Quirino

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: mitochondrial dysfunction; idebenone; short-chain quinone; metabolic stability; HepG2 cell culture; reverse-phase liquid chromatography

Online: 5 December 2019 (03:56:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0360.v1

Study on the Mechanical Properties of BFRP Tube Confined Concrete Short Columns under Axial Compression

Xindong Ding, Shuqing Wang, Yu Liu, Zepeng Zheng

Subject: Engineering, Civil Engineering Keywords: BFRP square tube; Concrete short column; Axial compression test; Simulation analysis

Online: 16 September 2020 (11:19:39 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0346.v1

Feasibility, Process, and Effects of Short-Term Calorie Reduction in Cancer Patients Receiving Chemotherapy: An Integrative Review

Chia-Chun Tang, Hsi Chen, Tai-Chung Huang, Wei-Wen Wu, Jing-Mei Lin, Feng-Ming Tien

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: Integrative review; Short-term Calorie Reduction; Fasting; Cancer; Chemotherapy; Calorie Restriction

Online: 15 August 2020 (09:41:11 CEST)

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Preprint REVIEW | doi:10.20944/preprints202312.1678.v1

Overview on Permanent Magnet Motor Trends and Developments

Vasileios I. Vlachou, Georgios K. Sakkas, Fotios P. Xintaropoulos, Maria Sofia C. Pechlivanidou, Themistoklis D. Kefalas, Marina A. Tsili, Antonios G. Kladas

Subject: Engineering, Electrical And Electronic Engineering Keywords: Permanent-Magnets; Electric Vehicles; Electric Motor; Demagnetization; Geometry Optimization; Constraint Model, Finite Elements Analysis; Short Circuit; Neodymium Magnets; Parameter Sensitivity Analysis

Online: 22 December 2023 (02:10:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202206.0238.v1

End-to-End Prediction of Lightning Events from Geostationary Satellite Images

Sebastian Brodehl, Richard Müller, Elmar Schömer, Peter Spichtinger, Michael Wand

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: neural networks; satellite images; class imbalance; feature attribution; lightning prediction; nowcasting; short-term forecasts; machine learning; meteorology

Online: 16 June 2022 (10:48:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0345.v1

SENERGY: A Novel Deep Learning-Based Auto-Selective Approach and Tool for Solar Energy Forecasting

Ghadah Alkhayat, Syed Hamid Hasan, Rashid Mehmood

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; solar radiation forecasting; model prediction; solar energy; multi climates data; generalizability; sustainability; Long Short-Term Memory (LSTM); Gated Recurrent Unit (GRU); Convolutional Neural Network (CNN); Hybrid CNN-Bidirectional LSTM; LSTM Autoencoder

Online: 18 August 2022 (10:59:18 CEST)

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The sustainability of the planet and its inhabitants is in dire danger and is among the highest priorities on global agendas such as the Sustainable Development Goals (SDGs) of the United Nations (UN). Solar energy -- among other clean, renewable, and sustainable energies -- is seen as essential for environmental, social, and economic sustainability. Predicting solar energy accurately is critical to increasing reliability and stability, and reducing the risks and costs of the energy systems and markets. Researchers have come a long way in developing cutting-edge solar energy forecasting methods. However, these methods are far from optimal in terms of their accuracies, generalizability, benchmarking, and other requirements. Particularly, no single method performs well across all climates and weathers due to the large variations in meteorological data. This paper proposes SENERGY (an acronym for Sustainable Energy), a novel deep learning-based auto-selective approach and tool that, instead of generalising a specific model for all climates, predicts the best performing deep learning model for GHI forecasting in terms of forecasting error. The approach is based on carefully devised deep learning methods and feature sets through an extensive analysis of deep learning forecasting and classification methods using ten meteorological datasets from three continents. We analyse the tool in great detail through a range of metrics and methods for performance analysis, visualization, and comparison of solar forecasting methods. SENERGY outperforms existing methods in all performance metrics including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Forecast Skills (FS), Relative Forecasting Error, and the normalised versions of these metrics. The proposed auto-selective approach can be extended to other research problems such as wind energy forecasting and predict forecasting models based on different criteria (in addition to the minimum forecasting error used in this paper) such as the energy required or speed of model execution, different input features, different optimisations of the same models, or other user preferences.

Preprint ARTICLE | doi:10.20944/preprints202402.1590.v1

Possible Interrelations of Space Weather and Seismic Activity: An Implication for Short-term Earthquake Prediction

Valery Sorokin, Victor Novikov

Subject: Environmental And Earth Sciences, Space And Planetary Science Keywords: solar flare; geomagnetic field variations; geomagnetically induced currents; electromagnetic earthquake triggering; aerosol emission; short-term earthquake prediction

Online: 28 February 2024 (09:39:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0169.v1

Residual Compressive Strength of Short Tubular Steel Columns with Local Corrosion Damage

Kyra Kamille Toledo, Hyoung-Seok Kim, Young-Soo Jeong, In-Tae Kim

Subject: Engineering, Civil Engineering Keywords: residual compressive strength; steel; finite element analysis; short tubular steel column; local corrosion

Online: 16 January 2020 (11:17:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0132.v1

3DSSCN: A Sentiment Analysis Model for Short Video Based on 3D-Dense Network

Michele silva, Heitor Kruger, Muhammad Vieira, Carlos Stellato

Subject: Computer Science And Mathematics, Information Systems Keywords: Short video; Sentiment Analysis; Feature; 3D Dense Net; 3D Residual Network

Online: 7 December 2022 (11:57:32 CET)

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In recent years, with the development of social media, people are more and more inclined to upload text, pictures and videos on the platform to express their personal emotions, thus the number of short videos is increasing and becoming the first choice for people to socialize. Unlike the traditional way, people can convey their personal emotions and opinions through media other than words, such as video images, etc. for external information. Therefore, the expression and analysis of emotions is not only through text, but also through the analysis of emotional needs in images and videos, and the research scholars have customized products for individual users. Compared with pure text content, video information can more intuitively express users' happiness, anger and sorrow, thus short video-related applications have gained more and more popularity among Internet users in recent years. However, not all short videos on social networking sites can accurately express users' emotions, and related text information can more accurately assist sentiment analysis and thus improve accuracy. However, short video sentiment analysis based on video frame images is inaccurate in some scenarios, such as when expressing tears of joy, the sentiment expressed by the user's facial expression and voice are different, which will cause errors in the analysis of sentiment. As a result, researchers began to consider multimodal sentiment analysis to reduce the impact of the above scenarios on short video sentiment analysis. This paper focuses on proposing a sentiment analysis method for short videos. We first propose a residual attention model to make full use of the information in audio to classify the emotions contained in them. Then the text information in the dataset is classified by feature extraction. The key to extract features from text information is not only to retain the semantic information of the text, but also to explore the potential emotional information in the text, so as to ensure the integrity of the text information features. The experiments show that the sentiment analysis model proposed in this paper is more superior than the baselines.

Preprint ARTICLE | doi:10.20944/preprints202210.0396.v1

Feasibility Study of Cable Routing for Bi-Planar Trajectory Tracking in Cable Driven Lower Limb Exoskeleton

Rajan Prasad, Marwan El-Rich, Mohammad I. Awad, Sunil K. Agrawal, Kinda Khalaf

Subject: Engineering, Mechanical Engineering Keywords: cable driven; exoskeleton; lower limb rehabilitation; hip adduction; bi-planar trajectory; optimized routing.

Online: 26 October 2022 (03:54:13 CEST)

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Preprint REVIEW | doi:10.20944/preprints202303.0361.v1

Inconsistent Outcomes of Metabolic Surgery for Nonobese Patients with Type 2 Diabetes

Kyung Yul Hur

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: inconsistent outcomes; epithelial-mesenchymal crosstalk; altered identity; duodenal-jejunal bypass; biliopancreatic limb; GIP

Online: 21 March 2023 (01:36:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0004.v1

Wavelet Long Short-Term Memory to Fault Forecasting in Electrical Power Grids

Nathielle Waldrigues Branco, Mariana Santos Matos Cavalca, Stefano Frizzo Stefenon, Valderi Reis Quietinho Leithardt

Subject: Engineering, Electrical And Electronic Engineering Keywords: Electrical Power Grids; Fault Forecasting; Long Short-Term Memory; Time Series Forecasting; Wavelet Transform

Online: 3 October 2022 (10:36:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0942.v1

Detection and Classification of Partial Discharge by Hybrid Neural Network Algorithms in Air-insulated MV Switchgear

Paweł Kluge, Andrzej Łasica, Jacek Starzyński

Subject: Engineering, Electrical And Electronic Engineering Keywords: deep learning; partial discharge; convolutional neural network; medium voltage switchgear; air-insulated switchgear; autoencoder; long short-term memory

Online: 13 June 2023 (13:55:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0224.v1

Ensemble of Networks for Multilabel Classification

Loris Nanni, Luca Trambaiollo, Sheryl Brahnam, Xiang Guo, Chancellor Woolsey

Subject: Computer Science And Mathematics, Computer Science Keywords: multilabel; ensemble; incorporating multiple clustering centers; gated recurrent neural networks; temporal convolutional neural networks; long short-term memory

Online: 17 October 2022 (04:06:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0143.v1

Parameter Optimization of Motion Estimation for Geographically Distributed Photovoltaic Power Forecasting

Taiki Kure, Haruka Danil Tsuchiya, Yusuke Kameda, Daisuke Kodaira, Junji Kondoh

Subject: Engineering, Electrical And Electronic Engineering Keywords: photovoltaic (PV) power forecast; multiple PV forecasting; short-term PV forecasting; motion estimation; optical flow; smart grid

Online: 10 February 2022 (02:22:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202102.0461.v1

Salinity and Short-Term Exposure to High Temperature Altered Dead Pericarp and Diminished Yield of the Crop Plant Brassica Juncea

Bupur Swetha, Jeevan R. Singiri, Nurit Novoplansky, Rohith Grandhi, Jansirani Srinivasan, Janardan Khadka, Noga Sikron-Persi, Ivan Galis, Gideon Grafi

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Dead pericarps; salinity; short episodes of high temperature; stress response; reproductive phase; seed abortion; Phyohormones; Climate change; Brassica juncea

Online: 22 February 2021 (11:48:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.0975.v1

Enhanced Automated Deep Learning Application for Short Term Load Forecasting

Vasileios Laitsos, Georgios Vontzos, Dimitrios Bargiotas, Aspassia Daskalopulu, Lefteri H. Tsoukalas

Subject: Engineering, Electrical And Electronic Engineering Keywords: Load Forecasting; Long Short Term Memory; Temporal Convolution Networks; Multilayer Perceptron; Convolutional Neural Networks; CNN-LSTM; Convolutional LSTM Encoder- Decoder; Evaluation Metrics; Power Sector; Data Analysis

Online: 15 May 2023 (04:39:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0135.v1

Predicting Commercial Building Energy Consumption Using a Multivariate Multilayered Long-Short Term Memory Time-Series Model

Tan Ngoc Dinh, Gokul Sidarth Thirunavukkarasu, Mehdi Seyedmahmoudian, Saad Mekhilef, Alex Stojcevski

Subject: Engineering, Energy And Fuel Technology Keywords: Energy consumption prediction; Time-series forecasting; Forecasting Building Energy Consumption; Long Short-Term memory

Online: 2 June 2023 (05:11:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0180.v1

Incipient Inter Turn Short Circuit Fault Detection on Induction Motors Through Data Fusion and Statistical Machine Learning Strategy

Arturo Yosimar Jaen-Cuellar, Juan Jose Saucedo-Dorantes, David Alejandro Elvira-Ortiz

Subject: Engineering, Control And Systems Engineering Keywords: Condition monitoring; Induction motor; Inter-turn short-circuit; Feature calculation; Feature reduction

Online: 2 June 2023 (10:22:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0398.v1

Generalizations of the R-Matrix Method to the Treatment of the Interaction of Short Pulse Electromagnetic Radiation with Atoms

Barry Schneider, Kathryn R Hamilton, Klaus Bartschat

Subject: Physical Sciences, Atomic And Molecular Physics Keywords: B-spline R-matrix; R-matrix with time dependence; intense short-pulse extreme ultra14 violet radiation; time-dependent Schrdinger equation; Arnoldi-Lanczos propagation

Online: 26 January 2022 (13:01:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0026.v1

Effect of Sub-inhibitory Dose of Cefotaxime on Multidrug resistant Staphylococcus haemolyticus Isolates

Madhurima Chakraborty, Taniya Bardhan, Manjari Basu, Bornali Bhattacharjee

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Cefotaxime; S. haemolyticus; neonates; sub-MIC; biofilms; short-term evolution

Online: 1 September 2021 (14:39:54 CEST)

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Preprint REVIEW | doi:10.20944/preprints202111.0253.v1

Personalized Cell Therapy for Patients With Peripheral Arterial Diseases in the Context of Genetic Alterations: Artificial Intelligence-based Responder and Non-responder Prediction

Amankeldi Salybekov, Markus Wolfien, Shuzo Kobayashi, Takayuki Asahara

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: Cell therapy; chronic limb-threating ischemia; peripheral artery disease; diabetes; atherosclerosis obliterans; thromboangiitis obliterans; personalized medicine; artificial intelligence; machine learning; genome-wide association studies; transcriptome-wide association studies; clonal hematopoiesis of indeterminate potential.

Online: 15 November 2021 (11:18:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0086.v2

Simultaneous Prediction of Stream-Water Variables Using Multivariate Multi-Step Long Short-Term Memory Neural Network

Marzieh Khosravi, Bushra Monowar Duti, Munshi Md Shafwat Yazdan, Shima Ghoochani, Neda Nazemi, Hanieh Shabanian

Subject: Engineering, Civil Engineering Keywords: Deep neural network; long short-term memory; water quality; discharge; stream-water

Online: 17 April 2023 (07:21:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0170.v1

Impact of Astrocytic Coverage of Synapses on the Short-term Memory of a Computational Neuron-Astrocyte Network

Zonglun Li, Yuliya Tsybina, Susanna Gordleeva, Alexey Zaikin

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: neuron; astrocyte; network; short-term memory; spatial frequency; computational biology

Online: 9 August 2022 (04:04:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0765.v1

A Novel Model for the RNase MRP-Induced Switch Between Different Forms of 5.8S rRNA

Xiao Li, Janice M Zengel, Lasse Lindahl

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: ribosome biogenesis; rRNA processing; RNase MRP; long/short 5.8S rRNA

Online: 29 April 2021 (07:54:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0141.v1

Assimilating X- and S-band Radar Data for a Heavy Precipitation Event in Italy

Valerio Capecchi, Andrea Antonini, Riccardo Benedetti, Luca Fibbi, Samantha Melani, Luca Rovai, Antonio Ricchi, Diego Cerrai

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: WRF model; 3D-Var data assimilation; radar data; short-range prediction; heavy precipitation event

Online: 4 June 2021 (12:54:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0205.v1

Different Lower Extremity Arterial Calcification Patterns in Patients with Chronic Limb-Threatening Ischemia Compared with Asymptomatic Controls

Louise CD Konijn, Richard AP Takx, Willem PThM Mali, Hugo TC Veger, Hendrik van Overhagen

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: chronic limb-threatening ischemia; peripheral arterial disease; calcification pattern

Online: 7 April 2021 (14:45:17 CEST)

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Objectives The most severe type of peripheral arterial disease (PAD) is critical limb ischaemia (CLI). In CLI, calcification of the vessel wall plays an important role in symptoms, amputation rate and mortality. However, calcified arteries are also found in asymptomatic persons (non-PAD patients). We investigated whether the calcification pattern in CLI patients and non- PAD patients are different and could possibly explain the symptoms in CLI patients. Materials and Methods 130 CLI and 204 non-PAD patients underwent a CT of the lower extremities. This resulted in 118 CLI patients (mean age 72±12, 70.3% male) that were age-matched with 118 non-PAD patients (mean age 71±11, 51.7% male). The characteristics severity, annularity, thickness and continuity were assessed in the femoral and crural arteries and analysed by binary multiple logistic regression. Results Nearly all CLI patients have calcifications and these are equally frequent in the femoropopliteal (98.3%) and crural arteries (97.5%), while the non-PAD patients had in just 67% any calcifications with more calcifications in the femoropopliteal (70.3%) than in the crural arteries (55.9%, p<0.005). The crural arteries of the CLI patients had significantly more complete annular calcifications (OR 2.92, p=0.001.) while in the non-PAD patients dot-like calcifications dominated. In CLI patients, the femoropopliteal arteries had more severe, irregular / patchy and thick calcifications (OR 2.40, 3.27, 1.81, p≤0.05, respectively) while in non-PAD patients, thin continuous calcifications prevailed. Conclusions Compared with non-PAD patients CLI patients are more frequently and extensively calcified. Annular calcifications were found in the crural arteries of CLI patients while dot-like calcifications were mostly present in the non-PAD patients. These different patterns of calcifications in CLI point at different etiology and can have prognostic and eventually therapeutic consequences.

Preprint ARTICLE | doi:10.20944/preprints202112.0087.v1

Numerical Deformation Analysis of Reinforced Lightweight Aggregate Concrete Flexural Members

Darius Bacinskas, Deividas Rumsys, Gintaris Kaklauskas

Subject: Engineering, Civil Engineering Keywords: lightweight aggregate concrete; reinforced concrete; slab; bridge girder; curvature; short-term loading; tension stiffening; constitutive model; numerical modelling.

Online: 6 December 2021 (15:33:27 CET)

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Preprint REVIEW | doi:10.20944/preprints202201.0017.v1

Inclusion and Withdrawal Criteria for Growth Hormone (GH) Therapy in Children with Idiopathic GH Deficiency—Towards Following the Evidence but Still with Unresolved Problems

Joanna Smyczyńska

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: short stature; growth hormone deficiency; insulin-like growth factor-1; growth hormone stimulation tests; neurosecretory dysfunction; final height; retesting

Online: 4 January 2022 (18:05:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0437.v3

Demystifying the Relationship Between River Discharge and Suspended Sediment Using Exploratory Analysis and Deep Neural Network Algorithms

Jones Mantey, Hamed Tohidi, Hanieh Shabanian

Subject: Engineering, Civil Engineering Keywords: deep neural network; long short-term memory; suspended sediment; discharge

Online: 16 December 2022 (08:08:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202304.0598.v1

Research on Fast Detection Technology of Dark Current in Ge-Si Detector Array

Zhen Gao, Min Tao, Xuetong Li, Junfeng Song, Zijian Liu, Ziming Wang, Chengming Li

Subject: Engineering, Electrical And Electronic Engineering Keywords: short wave infrared; LiDAR; photodetector array; dark current detection

Online: 20 April 2023 (03:09:20 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.0175.v1

Review and Analysis of Platform-Related Performance of Rehabilitation Lower Limb Exoskeletons

Hossein Karami, Stefano Maludrottu, Christian Vassallo, Matteo Laffranchi, Lorenzo De Michieli

Subject: Engineering, Bioengineering Keywords: Powered lower limb exoskeletons; rehabilitation and assistance; performance criteria; neurological disorders; auxiliary devices; control strategies; effectiveness of PLLE

Online: 2 August 2023 (10:04:33 CEST)

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Working Paper ARTICLE

Feasibility of Neural Network Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation

Eldar Šabanovič, Paulius Kojis, Šarūnas Šukevičius, Barys Shyrokau, Valentin Ivanov, Miguel Dhaens, Viktor Skrickij

Subject: Engineering, Automotive Engineering Keywords: virtual sensor; automotive control; active suspension; vehicle state estimation; neural networks; deep learning; long-short term memory; sequence regression

Online: 24 September 2021 (12:42:07 CEST)

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Preprint REVIEW | doi:10.20944/preprints202401.1489.v1

Between the Mother’s Microflora and the Child’s Autism: Is There a Common Pathway?

Maria Suprunowicz, Natalia Tomaszek, Agata Urbaniak, Klaudia Zackiewicz, Stefan Modzelewski, Napoleon Waszkiewicz

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Autism spectrum disorders; Gut microbiota; Brain-gut axis; Maternal immune activation (MIA); Gastrointestinal; Delivery; Dysbiosis; Neurodevelopment; Microglia, Short-chain fatty acids (SCFA)

Online: 19 January 2024 (12:06:14 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.1638.v1

Short-chain Fatty Acids and Human Health: from Metabolic Pathways to Current Therapeutic Implication

Sonia Facchin, Luisa Bertin, Erica Bonazzi, Greta Lorenzon, Caterina De Barba, Brigida Barberio, Fabiana Zingone, Daria Maniero, Marco Scarpa, Cesare Ruffolo, Imerio Angriman, Edoardo V. Savarino

Subject: Biology And Life Sciences, Life Sciences Keywords: intestinal microbiota; short-chain fatty acids (SCFAs); dietary fiber fermentation; gastrointestinal and metabolic health; therapeutic implication

Online: 27 March 2024 (06:39:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0050.v1

Enhancing Upper Limb Functionality, Gross and Fine Motor Skills, Autonomy, and Quality of Life in Acute Stroke Patients: A Mirror Therapy, Cognitive Therapeutic Exercise, and Task-Oriented Training

Jessica Fernández-Solana, Rodrigo Vélez-Santamaría, Adrián Moreno-Villanueva, Sergio Álvarez-Pardo, Jerónimo J. González-Bernal, Mirian Santamaría-Peláez, Josefa González-Santos

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: mirror therapy; cognitive therapeutic exercise; task-oriented training; upper limb; gross notor; fine motor; autonomy; quality of life; acute stroke

Online: 1 February 2024 (13:50:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0041.v1

Genetics of Vascular Inflammation in Lower Limb Ischemia: The TNF-α Hypothesis in Peripheral Arterial Disease

Diego Caicedo, Clara V. Álvarez, Sihara Pérez, Jesús Devesa

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: Vascular inflammation; Peripheral arterial disease (PAD); Chronic limb-threatening ischemia (CLTI); GHAS trial; TNF-α; hs-CRP; Neutrophil-to-lymphocyte ratio (NLR); NOX4; eNOS; VEGF-A.

Online: 3 December 2021 (09:44:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.0405.v1

Multus Medium Opinion Mining (MMOM): A Novel Hybrid Deep Learning Approach for Comprehensive Product Review Analysis

Bushra Kanwal, Asif Nawaz, Ghulam Mustafa, Tariq Ali, Muhammad Babar, Basit Qureshi, Anis Koubaa

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Multus Medium; Opinion Mining; Deep Learning; Product Review Analysis; Bidirectional Long Short-Term Memory; Convolutional Neural Network

Online: 6 June 2023 (08:06:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0275.v1

Understanding the Impact of COVID-19 on Angioplasty Service and Outcome of Patients Treated for Critical Limb Ischaemia: A Single-Centre Retrospective Cohort Study

Alexander D. Rodway, Jenny Harris, Lydia Hanna, Charlotte Allan, Felipe Pazos-Casal, Ciara Giltinan, Ali Dehghan-Nayeri, Andre Santos, Martin B. Whyte, Nikolaos Ntagiantas, Ivan Walton, Richard Brown, Simon S. Skene, Ajay Pankhania, Benjamin C.T. Field, Gary D. Maytham, Christian Heiss

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: day-case angioplasty; critical limb ischaemia; peripheral artery disease

Online: 5 June 2023 (08:37:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0112.v1

Intelligent Passenger Frequency Prediction for Transportation Sustainability using Kalman Filter Algorithm and Convolutional Neural Network

Onemanyin David Jimoh, Lukman Adewale Ajao, Oluwafemi Oyetunde Adeleke, Stephen Sunday Kolo, Oyedeji Abdulwaheed Olarinoye

Subject: Engineering, Electrical And Electronic Engineering Keywords: ARIMA; convolutional neural network; Kalman filter; passenger flow; transportation; short-term prediction; stochastic model

Online: 10 October 2022 (03:05:34 CEST)

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Preprint REVIEW | doi:10.20944/preprints202210.0451.v2

Suitability of Fast Growing Tree Species (Salix spp., Populus spp., Alnus spp.) For Establishment of Economic Agroforestry Zones for Biomass Producing in Baltic Sea Region

Mudrite Daugaviete, Kristaps Makovskis, Andis Lazdiņš, Dagnija Lazdina

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: economic agroforestry zone; Salix spp.; Populus spp.; Alnus spp.; short rotation coppice (SRC); short rotation forestry (SRF); energy wood.

Online: 31 October 2022 (09:26:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1171.v1

Topical Application of Autologous Peripheral Blood Mononuclear Cells in Patients with Small Artery Disease and Diabetic Foot Ulcers: Efficacy, Safety and Economic Evaluation

Benedetta Ragghianti, Bianca Maria Berardi, Edoardo Mannucci, Matteo Monami

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: Diabetes mellitus; Foot ulcer; Cell-therapy; Small Artery Disease; Chronic Limb-Threatening Ischemia; Economic evaluation

Online: 17 May 2023 (02:41:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0789.v1

Short-term Electricity Demand Forecasting using Deep Neural Networks: An analysis for Thai data

Kamal Chapagain, Samundra Gurung, Pisut Kulthanavit, Somsak Kittipiyakul

Subject: Engineering, Electrical And Electronic Engineering Keywords: accuracy; data-driven approach, feed forward neural network; gated recurrent unit; hyper-parameters tuning; long short-term memory; short-term demand forecasting

Online: 12 July 2023 (11:29:06 CEST)

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Electricity demand forecasting plays a significant role in energy markets. Accurate prediction of electricity demand is the key factor to optimize power generation, consumption, saving energy resources, and determining the energy prices. However, integrating energy mix scenarios, including solar and wind power which are highly non-linear and seasonal, into an existing grid increases uncertainty in generation, adds the challenges for precise forecast. To tackle these challenges, state-of-the-art methods and algorithms have been implemented in literature. We have developed Artificial Intelligence (AI) based deep learning models that can effectively handle the information of long time-series data. Based on the pattern of dataset, four different scenarios were developed and two best scenarios were selected for prediction. Dozens of models were developed and tested in deep AI networks. In the first scenario (Scenario1), data for weekdays excluding holidays was taken and in the second scenario (Scenario2) all the data in the basket was taken. Remaining two scenarios, weekends and holidays were tested and neglected because of their high prediction error. To find the optimal configuration, models were trained and tested within a large space of alternatives called hyper-parameters. In this study, an Aritificial Neural Network (ANN) based Feed-forward Neural Network (FNN) showed the minimum prediction error for Scenario1 while a Recurrent Neural Network (RNN) based Gated Recurrent Network (GRU) showed the minimum prediction error for Scenario2. While comparing the accuracy, the lowest MAPE of 2.47% was obtained from FNN for Scenario1. When evaluating the same testing dataset (non-holidays) of Scenario2, the RNN-GRU model achieved the lowest MAPE of 2.71%. Therefore, we can conclude that grouping of weekdays as Senario1 prepared by excluding the holidays provides better forecasting accuracy compared to the single group approach used in Scenario2, where all the dataset is considered together. However, Scenario2 is equally important to predict the demand for weekends and holidays.

Preprint ARTICLE | doi:10.20944/preprints202306.1881.v1

Hospital Readmission of Patients with Diabetic Foot Ulcers: Prevalence, Causes and Outcomes

Marco Meloni, Aikaterini Andreadi, Valeria Ruotolo, Maria Romano, Ermanno Bellizzi, Laura Giurato, Alfonso Bellia, Luigi Uccioli, Davide Lauro

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: diabetes; diabetic foot; hospital admission; limb salvage

Online: 27 June 2023 (10:18:13 CEST)

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Working Paper ARTICLE

Arm Motion Classification Using Time Series Analysis of the Spectrogram Frequency Envelopes

Zhengxin Zeng, Moeness Amin, Tao Shan

Subject: Engineering, Electrical And Electronic Engineering Keywords: arm motion recognition; micro-doppler signature; time series analysis; dynamic time warping; long short-term memory

Online: 16 December 2019 (11:42:44 CET)

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Preprint REVIEW | doi:10.20944/preprints202312.0605.v1

The Latest Trends in Cryopreservation of Fungi

Ivana Eichlerová

Subject: Biology And Life Sciences, Other Keywords: basidiomycetes; non-basidiomycete fungi; cryopreservation; long/short-term storage; liquid nitrogene; cryoprotectant

Online: 8 December 2023 (10:37:30 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.0461.v1

The Mediterranean Diet, Its Microbiome Connections, and Cardiovascular Health: A Narrative Review”

Vincenzo Abrignani, Andrea Salvo, Antonino Tuttolomondo

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Western-type diet; Mediterranean-type diet; gut microbiota; short-chain fatty acid; trimethylamine N-oxide; bile acids; cardiovascular disease; atherosclerosis; nutrients

Online: 7 March 2024 (14:56:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1997.v1

Climate Variability at Breeding and Non-breeding Grounds Have Stronger Carry-Over Effects on Spring Migration the European Wren Troglodytes troglodytes at the Baltic Coast than Spring Conditions

Ignacy Gołębiewski, Magdalena Remisiewicz

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: climate change; spring phenology; short–distance migrants; European Wren; Troglodytes troglodytes; MOI; NAO; SCAND

Online: 29 May 2023 (08:36:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0189.v1

Developing a Short-Form Buss-Warren Aggression Questionnaire Based on Machine Learning

Xiuyu Jiang, Junyi Li, Yitian Yang

Subject: Social Sciences, Psychology Keywords: aggression questionnaire; machine learning; short-form questionnaire; adolescents

Online: 2 August 2023 (11:19:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0726.v1

Carbon Fiber Recycling Strategies: A Second Stream Waste Used for Thermoplastic Composite Applications

Marco Valente, Matteo Sambucci, Ilaria Rossitti, Silvia Abruzzese, Claudia Sergi, Fabrizio Sarasini, Jacopo Tirillò

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: short carbon fiber-reinforced thermoplastic composites; recycled carbon fibers; 3D printing; recoverability; critical length

Online: 11 July 2023 (12:03:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0579.v1

Pneumatic Compression Combined with Standard Treatment after Total Hip Arthroplasty: Effects on Edema of the Operated Limb and on Physical Outcomes. A Clinical Randomized Control Trial

Vittoria Carnevale Pellino, Alessandro Gatti, Matteo Vandoni, Pamela Patanè, Massimiliano Febbi, Stefania Ballarin, Caterina Cavallo, Luca Marin

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: leg pneumatic compression; total hip arthroplasty; lower limb edema

Online: 9 May 2023 (05:44:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0094.v1

Isolation and Molecular Characterization of a Novel Podo-virus BIS08P22 having a Unique Terminase Enzyme Representing a new Genus in Class Caudoviricetes

Sadia Sattar, Vincenzo Carbone, Zarrin Basharat, Nazish Bostan, Aamira Tariq, Sundus Javed, Inam Ullah, Sofia Khanum, Akasha Yaqoob, Ibrar Ahmed, Muhammad Athar Abbas, Syed Tahir Abbas Shah, Eric Altermann

Subject: Biology And Life Sciences, Virology Keywords: Podo virus; temperate phages; Short tail phages, novel phage terminase, Lederbergvirus

Online: 3 October 2023 (08:19:22 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0684.v1

The Isokinetic Method in Female Uninjured Female Soccer Players: A Survey of Applications and Common Mismatches

Antonio Cicchella, Cheng Zhang

Subject: Medicine And Pharmacology, Anatomy And Physiology Keywords: Female soccer; isokinetics; hamstring/quadriceps ratio; dominant non dominant limb ratio; errors in isokinetic dynamometry

Online: 9 June 2023 (08:17:33 CEST)

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Preprint REVIEW | doi:10.20944/preprints202309.1715.v1

Percutaneous Deep Venous Arterialization for Limb Salvage of No Option Patients with Chronic Limb-Threatening Ischemia

Stavros Spiliopoulos, Efstathia Davoutis, Nikolaos-Achilleas Arkoudis, Kaji Sritharan, Symeon Lechareas

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: chronic limb-threatening ischemia; peripheral arterial disease; endovascular treatment; tibial vessels; percutaneous deep venous arterialization

Online: 26 September 2023 (04:44:37 CEST)

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Preprint REVIEW | doi:10.20944/preprints202401.2110.v2

Staunch the Age Related Decline into Dementia, Cancer, Autoimmunity (POTS), Obesity, and Other Diseases with a Prebiotic, Probiotic, Postbiotic Triple Play

Patrick Chambers

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: tumor microenvironment (TME); indoleamine 2,3 dioxygenase (IDO); short chain fatty acid (SCFA); interferon (IFN); transforming growth factor (TGF); fecal microbiome transplantation (FMT)

Online: 7 February 2024 (12:24:54 CET)

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Preprint REVIEW | doi:10.20944/preprints202309.1188.v1

Reappraisal of Duodenal Exclusions and Biliopancreatic Limb Length in Metabolic Surgery for Nonobese Patients with Type 2 Diabetes

Kyung Yul Hur

Subject: Medicine And Pharmacology, Surgery Keywords: metabolic surgery; type 2 diabetes; postoperative hyperglycemia; duodenal exclusion; biliopancreatic limb length; altered epithelial identity; GIP

Online: 19 September 2023 (03:49:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1400.v1

Global and Local Approaches for Forecasting of Long-Term Natural Gas Consumption in Poland Based on Hierarchical Short Time Series

Bartłomiej Gaweł, Andrzej Paliński

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: hierarchical forecasting; short time series; local approach; global approach; household gas consumption

Online: 21 September 2023 (05:39:44 CEST)

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Preprint REVIEW | doi:10.20944/preprints202309.1023.v1

Syngas Fermentation: Cleaning of Syngas as a Critical Stage in Fermentation Performance

Marcos Ellacuriaga, María Victoria Gil, Xiomar Gómez

Subject: Engineering, Chemical Engineering Keywords: biomass gasification; lignocellulosic material; biofuels; ethanol; short chain alcohols

Online: 15 September 2023 (02:43:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1009.v1

Improved Fault Classification and Localization in Power Transmission Networks using VAE-generated Synthetic Data and Machine Learning Algorithms

Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, Ants Kallaste, Raimondas Pomarnacki, Van Khang Hyunh

Subject: Engineering, Electrical And Electronic Engineering Keywords: Electrical power systems; Support vector machines; random Forest; machine learning; wavelet transform; transmission lines fault; Electrical power quality; short circuit; Classification of faults; localization of faults; decision trees; Ensemble learning; K-nearest neighbors

Online: 15 September 2023 (04:54:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2229.v1

MALDI-TOF MS KPC Direct Detection from Patients’ Positive Blood Culture Bottles, Short-term Cultures and Colonies at the Hospital

Agustina Costa, Roque Arnulfo Figueroa-Espinosa, Jerson Andrés Martínez, Liliana Fernández-Canigia, María Ivana Maldonado, Silvina Bergese, Ana Schneider, Carlos Vay, Carlos Hernán Rodriguez, Marcela Nastro, Gabriel Osvaldo Gutkind, José Alejandro Di Conza

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: KPC; blood culture; short-term culture; MALDI-TOF MS

Online: 31 May 2023 (10:50:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0577.v1

Global Evidence of Obliquity Damping in Climate Proxies and Sea-Level Record during the Last 1.2 Ma: A Missing Link for the Mid-Pleistocene Transition

Paolo Viaggi

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: mid-pleistocene transition; obliquity–oblateness feedback; obliquity damping hypothesis; water- mass redistribution; glacio-eustatic sea level; short eccentricity

Online: 8 September 2023 (13:07:04 CEST)

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A recent research has identified an inverse amplitude link between obliquity damping and short eccentricity amplification during Mid-Late Pleistocene based on LR04 δ18O and equatorial Pacific Site 846 sea surface temperature records, which is associated with the Earth's long-term cooling. In the present study, new evidence of this anticorrelation is presented from Antarctic D-CO2-CH4 records, global benthic-planktic δ18O, and regional (Atlantic, Pacific, Mediterranean, and Indian) climate-related proxies. Based on a critical review of theoretical constrains (Earth's oblateness changes and ice-volume phase lag in the obliquity band <5.0 kyr), this widespread and symmetric (bipolar) obliquity response damping has been interpreted as an effect of the obliquity-oblateness feedback, which could be the latent physical mechanism at the origin of the Mid-Pleistocene Transition (MPT). Indeed, results and considerations of the present work suggest that fast and positive/negative net variation of the Earth's oblateness in the obliquity band was controlled by dominant glacio-eustatic water mass component and, assuming a rapid response of the ice-volume to surface temperature changes, the mean obliquity lag response is estimated to be <5.0 kyr over the past 800 kyr. These elements may explain the interglacial/glacial damping observed in the obliquity response. The consolidation of the Earth's long-term icy-state in the subtrend IV, culminated with the post-MPT obliquity damping, might have contributed to the strengthening of the short eccentricity response by mitigating the obliquity ‘ice-killing’ during obliquity maxima (interglacials), favouring the obliquity-cycle skipping and a feedback amplified ice-growth in the short eccentricity band (obliquity damping hypothesis). This could suggest a different impact of the climate friction than what is generally believed, which is presumably the latent physical mechanism that triggers transient ‘competitive’ interaction between obliquity and short eccentricity started early during the Piacenzian.

Preprint ARTICLE | doi:10.20944/preprints202311.1538.v1

Short-Term Solar Irradiance Prediction with a Hybrid Ensemble Model using EUMETSAT Satellite Images

Jayesh Thaker, Robert Höller, Mufaddal Kapasi

Subject: Sustainable Science And Technology, Environmental And Earth Sciences Keywords: PV power forecasting; deterministic forecast; machine learning; deep learning; satellite forecast, ensemble models; solar; clear sky index; short-term forecast; NWP

Online: 23 November 2023 (13:39:39 CET)

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Accurate short-term solar irradiance forecasting is crucial for the efficient operation of solar energy driven photovoltaic (PV) power plants. In this research, we introduce a novel hybrid ensemble forecasting model that amalgamates the strengths of machine learning tree-based models and deep learning neuron-based models. The hybrid ensemble model integrates the interpretability of tree-based models with the capacity of neuron-based models to capture complex temporal dependencies within solar irradiance data. Furthermore, stacking and voting ensemble strategies are employed to harness the collective strengths of these models, significantly enhancing prediction accuracy. This integrated methodology is enhanced by incorporating pixels from satellite images provided by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT). These pixels are converted into structured data arrays and employed as exogenous inputs in the algorithm. The primary objective of this study is to improve the accuracy of short-term solar irradiance predictions, spanning a forecast horizon up to 6 hours ahead. The incorporation of EUMETSAT satellite image pixels data enables the model to extract valuable spatial and temporal information, thus enhancing the overall forecasting precision. This research also includes detailed analysis of the derivation of GHI using satellite images. The study was carried out and the models tested across three distinct locations in Austria. A detailed comparative analysis was carried out for traditional Satellite (SAT) and Numerical Weather Prediction (NWP) models with hybrid models. Our findings demonstrate a higher skill score for all of the approaches compared to smart persistent model and consistently highlight the superiority of the hybrid ensemble model for short-term prediction window of 1 to 6 hours. This research underscores the potential for enhanced accuracy of the hybrid approach to advance short-term solar irradiance forecasting, emphasizing its effectiveness at understanding the intricate interplay of the meteorological variables affecting solar energy generation worldwide. The results of this investigation carry noteworthy implications for advancing solar energy systems, thereby supporting the sustainable integration of renewable energy sources into the electrical grid.

Preprint ARTICLE | doi:10.20944/preprints202307.1699.v1

The Effects of Transplantation of the Spaceflight Intestinal Microbiome on Short Chain Fatty Acid Production, Lymphoid organ Immune Composition and Transport Kinetics

Reid Powell, Mark Endsley, Walter Emerson Cromer

Subject: Biology And Life Sciences, Life Sciences Keywords: microbiome; spaceflight; lymphatic; short chain fatty acid; trascriptome

Online: 25 July 2023 (10:46:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1327.v1

Short Physical Performance Battery Psychometric Properties and Factor Structure in Institutionalized Spanish Older Adults

Mirian Santamaría-Peláez, Jerónimo J. González-Bernal, Álvaro Da Silva-González, Elena Medina-Pascual, Ana Gentil-Gutiérrez, Jessica Fernández-Solana, Juan Mielgo-Ayuso, Josefa González-Santos

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Short Physical Performance Battery; comprehensive geriatric assessment; older adults; institutionalization; psycometric properties

Online: 19 July 2023 (09:54:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0677.v1

Explore actual sustainable energy topics by using Yake!, Krovetz, GSDMM and short text summaries

Boris Chigarev

Subject: Engineering, Energy And Fuel Technology Keywords: sustainable energy topics, short text summaries, bibliometric records, Yake!, Krovetz stemmer, GSDMM algorithm

Online: 11 July 2023 (10:15:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0834.v1

Unveiling the Unexplored Realm: Novel Approach for Emotion Recognition using Auditory Stimulation and EEG Signals

sina khoonbani, Hassan Ramezanian

Subject: Engineering, Mechanical Engineering Keywords: emotion recognition, auditory stimulation, EEG signals, convolutional neural network (CNN), long short term memory (LSTM), brain-computer interface (BCI)

Online: 13 July 2023 (04:53:51 CEST)

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Preprint REVIEW | doi:10.20944/preprints202307.1823.v1

Co-cultivation and Matching of Early- and Late-maturing Pearl Millet Varieties to Sowing Windows can Enhance Climate-Change Adaptation in Semi-arid Sub-Saharan Agroecosystems.

Simon Kamwele Awala, Kudakwashe Hove, Johanna Valombola Shekupe, Helena Nalitende Nafuka, Evans Kamwi Simasiku, Barthermeu Chataika, Lydia Ndinelao Horn, Simon T. Angombe, Levy SM Akudabweni, Osmund Damian Mwandemele

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: drought, food security, short-growing season, rainfed agriculture, subsistence farming

Online: 27 July 2023 (05:47:30 CEST)

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In semi-arid regions, climate change has affected crop growing season length and sowing time, potentially causing low yield of the rainfed staple crop pearl millet (Pennisetum glaucum L.) and food insecurity among smallholder farmers. In this study, we used 1994–2023 rainfall data from Namibia's semi-arid North-Central Region (NCR), receiving November–April summer rainfall, to analyze rainfall patterns and trends and their implications on the growing season to propose climate adaptation options for the region. The results revealed high annual and monthly rainfall variabilities, with nonsignificant negative trends for November–February rainfalls, implying a shortening growing season. Furthermore, we determined the effects of sowing date on grain yields of the early-maturing Okashana-2 and local landrace Kantana pearl millet varieties and the optimal sowing window for the region, using data from a two-year split-plot field experiment conducted at the University of Namibia-Ogongo Campus, NCR, during the rainy season. Cubic polynomial regression models were applied to grain yield data sets to predict grain production for any sowing date between January and March. Both varieties produced the highest grain yields under January sowings, with Kantana exhibiting a higher yield potential than Okashana-2. Kantana, sown by 14 January, had a yield advantage of up to 36.0% over Okashana-2, but its yield gradually reduced with delays in sowing. Okashana-2 exhibited higher yield stability across January sowings, surpassing Kantana’s yields by up to 9.4% following the 14 January sowing. We determined the pearl millet optimal sowing window for the NCR from 1–7 and 1–21 January for Kantana and Okashana-2, respectively. These results suggest that co-cultivation of early and late pearl millet varieties and growing early-maturing varieties under delayed seasons could stabilize grain production in northern Namibia and enhance farmers' climate adaptation. Semi-arid agro-region policymakers could utilize this information to adjust local seed systems and extension strategies.

Preprint CASE REPORT | doi:10.20944/preprints202308.1913.v1

Short Bowel Syndrome: life–Saving Parenteral Nutrition for 4 Months - A Clinical Case and Literature Review

Saulius Švagždys, Ieva Smolskaitė, Rūta Vindžigalskytė

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: short bowel syndrome; parenteral nutrition; reconstructive gastrointestinal surgery

Online: 29 August 2023 (08:58:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1372.v1

Effect of Red Beetroot Supplemented Diet on Gut Microbiota Composition and Metabolite Profile of Weaned Pigs – A Pilot Study

Opeyemi O Adekolurejo, Katie McDermott, Henry M Greathead, Helen M Miller, Alan R. Mackie, Christine Boesch

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: weaned pig; gut microbiota; red beetroot; short chain fatty acids; bile acids

Online: 19 May 2023 (04:11:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1704.v1

Active Device for Shoulder Rehabilitation Based on Force Control

Isabel M. Alguacil-Diego, Alicia Cuesta-Gómez, David Pont-Esteban, Juan Carrillo-Rios, Paul Espinosa-Peralta, Miguel Ángel Sánchez-Urán, Manuel Ferré

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Force control; haptic; upper limb; rehabilitation; shoulder movements; medical rehabilitation

Online: 24 May 2023 (05:33:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0843.v1

Brain-inspired agents for Quantum Reinforcement Learning

E. Andrés, Manuel Pegalajar Cuellar, Gabriel Navarro

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Quantum Reinforcement Learning; Quantum Neural Networks; Quantum Spiking Neural Network; Quantum Long Short-Term Memory; Brain-inspired models.

Online: 18 March 2024 (10:24:38 CET)

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Working Paper ARTICLE

Pervasive Lying Posture Tracking

Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh

Subject: Engineering, Automotive Engineering Keywords: lying posture tracking; traditional machine learning; ensemble classification; deep neural network models; long short-term memory sequence classification model

Online: 19 October 2020 (10:57:42 CEST)

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Automated lying-posture tracking is important in preventing bed-related disorders such as pressure injuries, sleep apnea, and lower-back pain. Prior research studied in-bed lying posture tracking using sensors of different modalities (e.g., accelerometer and pressure sensors). However, there remain significant gaps in research about how to design efficient in-bed lying posture tracking systems. These gaps can be articulated through several research questions as follows. First, can we design a single-sensor, pervasive, and inexpensive system that can accurately detect lying postures? Second, what computational models are most effective in the accurate detection of lying postures? Finally, what physical configuration of the sensor system is most effective for lying posture tracking? To answer these important research questions, in this article, we propose a comprehensive approach to design a sensor system that uses a single accelerometer along with machine learning algorithms for in-bed lying posture classification. We design two categories of machine learning algorithms based on deep learning and traditional classification with handcrafted features to detect lying postures. We also investigate what wearing sites are most effective in accurate detection of lying postures. We extensively evaluate the performance of the proposed algorithms on nine different body locations and four human lying postures using two datasets. Our results show that a system with a single accelerometer can be used with either deep learning or traditional classifiers to accurately detect lying postures. The best models in our approach achieve an F-Score that ranges from 95.2% to 97.8% with a coefficient of variation from 0.03 to 0.05. The results also identify the thighs and chest as the most salient body sites for lying posture tracking. Our findings in this article suggest that because accelerometers are ubiquitous and inexpensive sensors, they can be a viable source of information for pervasive monitoring of in-bed postures.

Preprint ARTICLE | doi:10.20944/preprints202305.0257.v1

Laser-Metal Interaction with a Pulse Shorter the Ion Period: Ablation Threshold, Electrons Emission and Ions Explosion

Eugene Gamaly, Saulius Juodkazis

Subject: Physical Sciences, Optics And Photonics Keywords: ultra-short laser pulses; laser pulses shorter than the ion period; non-equilibrium ablation; Coulomb explosion; micromachining; THz emission

Online: 4 May 2023 (10:30:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1115.v1

An InSAR-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Short-Term Monitoring Data

Jinyang Li, Mingdong Zang, Nengxiong Xu, Gang Mei, Sen Yang

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: InSAR-based method; coal mine goaf; prediction of long-term land subsidence; concatenation of multiple short-term monitoring data

Online: 18 July 2023 (02:35:57 CEST)

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The land subsidence occurring in goafs after coal mining is a protracted process. The accurate prediction of long-term land subsidence in goafs relies heavily on the availability of long-term monitoring data. However, the scarcity of continuous long-term land subsidence monitoring data subsequent to the cessation of mining significantly hinders the accurate prediction of long-term land subsidence in goafs. To address this challenge, this study proposes an innovative method based on Interferometric Synthetic Aperture Radar (InSAR) for predicting long-term land subsidence of goafs following coal mining. The proposed method employs a concatenation approach that integrates multiple short-term monitoring data from different coal faces, each with distinct cessation times, into a cohesive and uniform long-term sequence by normalizing the subsidence rates. The method was verified using actual monitoring data from the Yangquan No.2 mine in Shanxi Province, China. Initially, coal faces with same shapes but varying cessation times were selected for analysis. Using InSAR monitoring data collected between June and December of 2016, the average subsidence rate corresponding to the duration after coal mining cessation of each coal face was back-calculated. Subsequently, a function relating subsidence rate to the duration after coal mining cessation was fitted to the data. Finally, the relationship between cumulative subsidence and the duration after coal mining cessation was derived by integrating the function. The results indicated that the relationship between subsidence rate and duration after coal mining cessation followed an exponential function for a given coal face, whereas the relationship between cumulative subsidence and duration after coal mining cessation conformed to the Knothe time function. Notably, after the cessation of coal mining, significant land subsidence persisted in the goaf of the Yangquan No.2 mine for a duration ranging from 5 to 10 years. The cumulative subsidence curve along the long axis of the coal face ultimately exhibited an inclined W-shape. The proposed method enables the quantitative prediction of residual land subsidence in goafs, even in cases where continuous long-term monitoring data are insufficient, thus providing valuable guidance for construction decisions above the goaf.

Preprint REVIEW | doi:10.20944/preprints202312.0244.v1

Translational Relevance of Advanced Age and Atherosclerosis in Preclinical Trials of Biotherapies for Peripheral Artery Disease

Keith A Webster

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: gene therapy; cell therapy; peripheral artery disease; critical limb ischemia; clinical trials

Online: 5 December 2023 (14:44:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1071.v1

Error-enhancement for upper limb rehabilitation in the chronic phase after stroke: a 5-day pre-post intervention study

Marjan Coremans, Eli Carmeli, Ineke De Bauw, Bea Essers, Robin Lemmens, Geert Verheyden

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: stroke; upper limb rehabilitation; error-enhancement

Online: 14 December 2023 (10:44:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.0406.v1

Single Droplet Microsensor for Ultra-Short Circulating EFGR Mutations Detection in Lung Cancer Based on Multiplex EFIRM Liquid Biopsy

Fang Wei, Peter Yu, Jordan Cheng, Feng Li, David Chia, David T.W. Wong

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Biosensors; ultra-short circulating tumor DNA; Lung Cancer; Liquid biopsy; EGFR

Online: 6 May 2023 (09:44:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1010.v1

Polyethylene Protective Coating with Anti-Reflective Properties for Silicon Photovoltaic Cells

Malgorzata Pociask-Bialy

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: photovoltaic cells; antireflective coatings; solar glass transmittance; short-circuit current gain

Online: 27 April 2023 (03:08:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0048.v1

Analyzing Portfolio Optimization in Cryptocurrency Markets: A Comparative Study of Short-Term Investment Strategies Using High-Frequency Data

Sonal Sahu, José Hugo Ochoa Vázquez, Alejandro Fonseca Ramírez, Jong-Min Kim

Subject: Business, Economics And Management, Finance Keywords: Portfolio Optimization; Sharpes; Kurtosis minimization; High-Frequency; Rebalancing frequency; Diversification; Short-term investment strategy

Online: 1 March 2024 (12:28:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0958.v1

Effect of Parasitic Channel on DC/AC/RF Characteristics and Power Consumption of GAA Si NS MOSFETs and Circuits

Sekhar Reddy Kola, Yiming Li

Subject: Engineering, Electrical And Electronic Engineering Keywords: gate-all-around; nanosheet; silicon-on-insulator; vertically stacked; parasitic channel; short-channel effect; current densities; gate capacitances; transconductance; cut-off frequency; 3dB frequency; power consumption; 3-D device simulation

Online: 16 October 2023 (09:53:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0477.v1

Relationship between CT Derived Bone Mineral Density and UTE-MR Derived Porosity Index in Equine Third Metacarpal and Metatarsal Bones

Carola Daniel, Sarah Elizabeth Taylor, Sam McPhee, Uwe Wolfram, Tobias Schwarz, Stefan Sommer, Lucy Kershaw

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: bone mineral density; porosity index; MRI; ultra-short echo time; CT; equine; lateral condylar fracture; palmar osteochondral disease; stress fracture; fatigue injury

Online: 7 August 2023 (11:43:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0411.v1

Effect of the Addition of Re on the Microstructure and Phase Composition of Haynes 282: Ab Initio Modelling and Experi-Mental Investigation of Additively Manufactured Specimens

Antoni Wadowski, Jan S. Wróbel, Milena Koralnik, Ryszard Sitek

Subject: Engineering, Civil Engineering Keywords: ab initio calculation; short-range ordering; rhenium effect; nickel alloys; additive manufacturing

Online: 6 May 2023 (10:13:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1235.v1

Patient’s Healthy Limb Motion Characteristics Based Assist-as-Needed Control Strategy for Upper-Limb Rehabilitation Robot

Bingjing Guo, Zhenzhu Li, Mingxiang Huang, Xiangpan Li, Jianhai Han

Subject: Engineering, Mechanical Engineering Keywords: upper-limb rehabilitation robot; assist-as-needed control; endpoint stiffness estimation; stiffness mapping algorithm; surface electromyographic signal

Online: 16 January 2024 (12:33:07 CET)

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The implementation of a progressive rehabilitation training model to promote patients’ motivation efforts can greatly restore the damaged central nervous system function in patients. The patients’ active engagement can be effectively stimulated by assist-as-needed (AAN) robot rehabilitation training. However, its application in robotic therapy has been hindered by a simple determination method of robot assisted torque which focuses on the evaluation only of the affected limb's movement ability. Moreover, the expected effect of assistance depends on the designer, which deviates from the patient's expectations, and its applicability to different patients is deficient. In this study, we propose a control method with personalized treatment features based on the idea of estimating and mapping the stiffness of the patient’s healthy limbs. This control method comprises an interactive control module in the task-oriented space based on the quantitative evaluation of motion needs and an inner loop position control module for the pneumatic swing cylinder in the joint space. An upper limb endpoint stiffness estimation model is constructed and a parameter identification algorithm is designed. The upper limb endpoint stiffness which characterizes the patient's ability to complete training movements is obtained by collecting surface electromyographic (sEMG) signals and human-robot interaction forces during patient movement. Then the motor needs of the affected limb when completing the same movement are quantified based on the performance of the healthy limb. A stiffness mapping algorithm is designed to dynamically adjust the rehabilitation training trajectory and auxiliary force of the robot based on the actual movement ability of the affected limb, achieving AAN control. Experimental studies were conducted on a self-developed pneumatic upper limb rehabilitation robot, and the results showed that the proposed AAN control method can effectively estimate the patient's movement needs and achieve progressive rehabilitation training. The rehabilitation training robot that simulates the movement characteristics of the patient's healthy limbs drives the affected limb, making the intensity of the rehabilitation training task more in line with the patient's pre-morbid limb use habits, and also beneficial for the consistency of bilateral limb movements.

Preprint REVIEW | doi:10.20944/preprints202305.1471.v1

Complete Full Arch Supported by Short Implant (>8MM) in Edentulous Jaw: A Systematic Review

Alessio Rosa, Alberto Maria Pujia, Claudio Arcuri

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: full arch; mandibular atrophy; short dental implants; short implants; prosthetic

Online: 22 May 2023 (07:26:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1404.v1

Dietary Supplementation with Popped Amaranth Modulates the Gut Microbiota in Low Height-for-Age Children: A Nonrandomized Pilot Trial

Oscar de Jesús Calva-Cruz, Cesaré Ovando-Vázquez, Antonio De-León-Rodríguez, Fabiola Veana, Eduardo Espitia-Rangel, Samuel Treviño, Ana Paulina Barba-de-la-Rosa

Subject: Biology And Life Sciences, Food Science And Technology Keywords: 16S rRNA sequencing; diet; popped amaranth; gut microbiota, short-chain fatty acids

Online: 20 June 2023 (08:19:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1523.v1

Topical Application of Autologous Leukocyte-Rich Platelet-Rich Plasma with a High Concentration of Monocytes in Patients with Recalcitrant Ischemic Diabetic Foot Ulcers: Efficacy, Safety and Economic Evaluation.

Benedetta Ragghianti, Giovanni Antonio Silverii, Bianca Maria Berardi, Linda Luppichini, Maria Masulli, Matteo Monami

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: Diabetes mellitus; Foot ulcer; Cell-therapy; Chronic Limb-Threatening Ischemia; Economic evaluation

Online: 20 December 2023 (10:18:08 CET)

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BACKGROUND: Patients with diabetic foot ulcers (DFU) and chronic limb-threatening ischemia (CLTI are at higher risk for major amputations and mortality. The aim of this study was to assess the safety and cost-efficacy of intramuscular injection of autologous monocyte-rich PRP platelet-rich plasma Tropocells® PRP (Estar Medical, Holon, Israel) in diabetic patients with chronic limb-threatening ischemia (CLTI) in which revascularization was not feasible. METHODS: a retrospective study was carried out on a series of patients with type 2 diabetes, grade Texas 3C or D DFU, and CLTI. All patients had undergone at least a previous revascularization and were allocated to a surgery waiting list for major amputation. According to the data provided by the manufacturer (https://www.zuccatobiotech.it/index.php/prodotti/tropocells), the monocyte-rich PRP kit obtained a platelet-rich plasma with a high concentration of peripheral blood mononuclear cells (with a proportionately lower amount of lymphocytes), a low concentration of neutrophils and an almost complete depletion of red blood cells. All patients underwent a procedure of local infiltration of autologous mononuclear cells through multiple perilesional and intramuscular injections of 10 mL PBMNC suspensions (0.2–0.3 mL in boluses) performed below the knee along the relevant vascular axis (anterior tibial artery and posterior tibial artery) at intervals of 1–2 cm and to a mean depth of 1.5–2 cm, using a 21 G needle. The procedures were performed according to the instructions of the manufacturer and were repeated at least two times (maximum 3 times) at intervals of 30 days. The principal endpoint was a composite of TcPO2 values at the first toe ≥30 mmHg and/or TcPO2 increase of at least 50% from baseline and/or ulcer healing. Secondary endpoints were individual components of the primary endpoint, quality of life, any adverse events, and direct costs. All the endpoints were evaluated at 26 weeks. RESULTS: Out of 21 enrolled patients, 13 (61.9%) reached the primary endpoint, whereas three patients underwent a major amputation, and two patients died. The median TpCO2 was significantly increased, and pain was significantly reduced. The overall mean and median cost per patient were 9,255±7,328€ and 4,001 [2,991;7,565]€, respectively. CONCLUSIONS: the use of PBMNCs implants in patients with DFU and no-option CLTI seems to be efficacious in reducing the risk of major amputation and improve ulcer healing.

Preprint ARTICLE | doi:10.20944/preprints202305.1541.v1

Butyrate Protects Myenteric Neurons Loss in Mice Following Ex-Perimental Ulcerative Colitis

Marcos Antônio Ferreira Caetano, Henrique Inhauser Riceti Magalhães, Jheniffer Rayane de Lima Duarte, Laura Barbosa Conceição, Patricia Castelucci

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Inflammatory bowel diseases; Short-chain fatty acids; Gut microbiota; Butyrate; Enteric nervous system; Free fatty acid receptor 3; GPR41.

Online: 23 May 2023 (03:24:08 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202311.0172.v1

Whole-Body Cryostimulation, a Complementary Treatment for Phantom Limb Syndrome: Preliminary Evidence from a Case Study

Paolo Piterà, Isabella Springhetti, Angelo Alito, Federica Verme, Jacopo Maria Fontana, Paolo Capodaglio

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: whole-body cryostimulation; phantom limb pain; phantom limb syndrome; neuropathic pain; central sensitization

Online: 3 November 2023 (04:12:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1232.v1

A Survey of Deep Learning-Based Lightning Prediction

Xupeng Wang, Keyong Hu, Yongling Wu, Wei Zhou

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: lightning prediction; deep learning; spatio-temporal features; convolutional neural networks; long short-term memory networks

Online: 19 September 2023 (13:32:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0682.v1

Predicting Multiple Numerical Solutions to the Duffing Equation Using Machine Learning

Yi-Ren Wang, Guan-Wei Chen

Subject: Engineering, Mechanical Engineering Keywords: Duffing equation; deep learning; neural networks; recurrent neural networks; long short term memory.

Online: 8 August 2023 (12:58:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.2093.v1

Synergistic Impact of Organic Acids on Rabbits’ Digestive Physiological Processes and Health

Vilma Vilienė, Monika Nutautaitė, Vilma Šašytė, Saulius Bliznikas, Alius Pockevičius, Virginijus Slausgalvis, Andrzej Gugołek, Janusz Strychalski, Jerzy Juśkiewicz, Paulius Matusevičius, Asta Racevičiūtė-Stupelienė

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: organic acids, growth performance, intestine, short-chain fatty acids, histomorphology, rabbits

Online: 28 December 2023 (02:04:00 CET)

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