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Preprint ARTICLE | doi:10.20944/preprints202311.1732.v2

A Distance Based Two-Sample Test of Means Difference for Multivariate Datasets

Alexander Novoselsky, Eugene Kagan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: multivariate two-sample problem; multivariate means test; distance-based statistic; two-sample Kolmogorov-Smirnov test

Online: 14 December 2023 (09:02:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0976.v1

Causal Role of Immune Cells in Prostate Cancer: A Mendelian Randomization Study

Jiabao Yin, Dawei Ni, Rong Li, Junhua Xi, Can Wei, Yanbin Zhang

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: ; immune cells; prostate cancer; immunophenotype; mendelian randomization; two sample

Online: 15 November 2023 (10:36:55 CET)

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Background：Increasingly, epidemiological surveys and experimental research findings indicate the involvement of immune cells in the onset and progression of prostate cancer. However, it remains unclear whether the relationship between specific immune cell types and prostate cancer is causal or influenced by bias. Through a two-sample Mendelian randomization design, our study aims to uncover the association between different immune cells and the risk of prostate cancer.Methods：A comprehensive study was conducted to investigate the association between immunophenotypes and prostate cancer risk. The study included a total of 731 immunophenotypes as potential exposure factors and analyzed data from 182,625 individuals of European ancestry from the UK Biobank. A screening of 12,097,504 single nucleotide polymorphisms (SNPs) was performed. The main analysis utilized the two-sample Mendelian randomization method with inverse variance weighting (IVW). Additionally, multiple analysis methods were combined, and various tests were conducted to assess heterogeneity and pleiotropy.Results：The resulting study showed a causal relationship between a total of 34 immune phenotypes and prostate cancer. Among them, the four immune phenotypes of CD62L- DC AC, CD19 on sw mem, FSC-A on plasmacytoid DC and HLA DR on monocyte simultaneously meet three or more statistical methods, suggesting a significant causal relationship with prostate cancer. Additionally, among the 34 immunophenotypes, CD28-CD8dim AC was shown to be positive in reverse Mendelian randomization. Most of these cell phenotypes have been reported to be potentially associated with prostate cancer.Conclusions：Our study demonstrates a causal link between immune cells and prostate cancer risk. Filled in the possible roles of all current immune cell pathways in the development and progression of prostate cancer. The next step is to verify the content and influencing mechanism of these immune phenotypes in cancer cells and adjacent cells through experiments, so as to provide new ideas and methods for the prevention and treatment of prostate cancer.

Preprint ARTICLE | doi:10.20944/preprints202307.0543.v1

Preferential Tissue Sites of Different Cancer-risk Groups of Human Papillomaviruses

Mitsuaki Okodo, Kaori Okayama, Toshiyuki Sasagawa, Koji Teruya, Rei Settsu, Shuichi Mizuno, Yasuyoshi Ishii, Mizue Oda

Subject: Biology And Life Sciences, Virology Keywords: human papillomavirus; tropism; contamination; cervical sample; vaginal sample

Online: 10 July 2023 (08:31:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1554.v1

Computation of The Mann-Whitney Effect under Parametric Survival Copula Models

Kosuke Nakazono, Yu-Cheng Lin, Gen-Yih Liao, Ryuji Uozumi, Takeshi Emura

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: censoring; copula; Hand’s paradox; potential outcome; Mann-Whitney effect; stress-strength model; two-sample comparison; survival analysis; survival function; treatment effect

Online: 26 March 2024 (09:41:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.1704.v1

Vision System for the Mars Sample Return Capture, Containment and Return System (CCRS)

Brent Jon Bos, David Donovan, John Capone, Chen Wang, Terra Hardwick, Dylan Bell, Yuqing Zhu, Robert Podgurski, Bashar Rizk, Ireneusz Orlowski, Rachel Edison, David Harvey, Brianna Dizzon, Lindsay Haseltine, Kristoffer Olsen, Chad Sheng, Robert Bousquet, Luan Vo, Georgi Georgiev, Kristen Washington, Michael Singer, Stefan Ioana, Anloc Le, Elena Georgieva, Michael Hackett, Michael Ravine, Michael Caplinger, Phillip Coulter, Erin Percy, Charles Torisky, Jean Lauenstein, Kaitlyn Ryder, Michael Campola, Dillon Johnstone, William J. Thomes, Richard G. Schnurr, John McCloskey, Eugenia DeMarco, Ellen Lee, Calinda Yew, Bo Yang, Mingyu Han, Bartosz Blonski

Subject: Aerospace Engineering, Engineering Keywords: Mars; cameras; sample return; space optics

Online: 26 April 2024 (09:33:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0872.v1

Probability Distribution-Guided Adversarial Sample Attacks

Hongying Li, Miaomiao Yu, Xiaofei Li, Jun Zhang, Shuohao Li, Jun Lei, Hairong Huang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Probability Distribution; Adversarial Sample; Transferability; Interpretability

Online: 12 May 2023 (03:13:00 CEST)

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In recent years, with the rapid development of technology, artificial intelligence(AI) security issues represented by adversarial sample attack have aroused widespread concern in society. Adversarial samples are often generated by surrogate models and then transfer to attack the target model, and most AI models in real-world scenarios belong to black boxes, thus transferability becomes a key factor to measure the quality of adversarial samples. The traditional method relies on the decision boundary of the classifier and takes the boundary crossing as the only judgment metric without considering the probability distribution of the sample itself, which results in an irregular way of adding perturbations to the adversarial sample, an unclear path of generation, and a lack of transferability and interpretability. In the probabilistic generative model, after learning the probability distribution of the samples, a random term can be added to the sampling to gradually transform the noise into a new independent and identically distributed sample. Inspired by this idea, we believe that by removing the random term, the adversarial sample generation process can be regarded as static sampling of the probabilistic generative model, which guides the adversarial samples out of the original probability distribution and into the target probability distribution, and helps to improve transferability and interpretability. Therefore, we propose a Score Matching-Based Attack(SMBA) method to perform the adversarial sample attacks by manipulating the probability distribution of the samples, which can show good transferability in the face of different datasets and models, and give reasonable explanations from the perspective of mathematical theory and feature space. In conclusion, our research establishes a bridge between probabilistic generative models and adversarial samples, provides a new entry angle for the study of adversarial samples, and brings new thinking to AI security.

Preprint ARTICLE | doi:10.20944/preprints202004.0537.v1

New Two Parameter Gamma Function

Kuldeep Sing Gehlot

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: New/Generalized two parameter Gamma function; New/Generalized two parameter Pochhammer symbol; Two Parameter Pochhammer symbol; Two parameter Gamma function; New/Generalized two parameter Psi function; New/Generalized p - k Hypergeometric function

Online: 30 April 2020 (16:31:51 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202403.0445.v2

Topological Representation of Sample Size Calculation: The 4D Nature of Variables and 3D Nature of Surfaces

Dev Desai

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Sample Size, Topology, Variables, Z, Prevalence, Precision

Online: 9 April 2024 (09:56:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1545.v1

Application of Micro-Tubing Reeling System to Serial Femtosecond Crystallography

Jihan Kim, Sehan Park, Yunje Cho, Jaehyun Park

Subject: Biology And Life Sciences, Biophysics Keywords: SFX; reeling; sample delivery; lysozyme; PAL-XFEL

Online: 20 December 2023 (10:56:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0466.v1

Expanding the Analytical Toolbox: Developing New Peptide Map Methods to Fully Characterize the Proteolysis-resistant Single-domain Antibody New Modality

Y Diana Liu, Michelle Irwin Beardsley, Feng Yang

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Biopharmaceuticals; drug substances; sample preparation; mass spectrometry

Online: 7 August 2023 (10:01:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0047.v1

Accelerating Gut Microbiome Research with Robust Sample Collection

Zoe J. Zreloff, Danielle Lange, Suzanne D. Vernon, Martha R. Carlin, Raul de Jesus Cano

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Stool; Fecal; Microbiome; Microbiota; Heterogeneous; Homogeneous; Sample

Online: 4 January 2021 (13:29:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0266.v1

Revisiting the 1D and 2D Laplace Transforms

Manuel Duarte Ortigueira, José Tenreiro Machado

Subject: Computer Science And Mathematics, Mathematics Keywords: Laplace transform; Two-dimensional Laplace transform; Initial-conditions; Two-dimensional linear systems

Online: 12 July 2020 (15:46:45 CEST)

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Preprint REVIEW | doi:10.20944/preprints202002.0290.v1

The Molten Globule, and Two-State vs. Non-Two-State Folding of Globular Proteins

Kunihiro Kuwajima

Subject: Biology And Life Sciences, Biophysics Keywords: protein folding; molten globule state; two-state proteins; non-two-state proteins

Online: 20 February 2020 (07:12:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0190.v1

Real-Time 2D Orthomosaic Mapping from Drone-Captured Images Using Feature-Based Sequential Image Registration

Se-Yun Hwang, Jang Hyun Lee, Chang Su Ha, Minuk Yang, Jae Ho Choi

Subject: Engineering, Architecture, Building And Construction Keywords: two-dimensional (2D) orthomosaic; drone video processing; real-time image registration; sequential registration; scale-invariant feature transform (SIFT); fast library for approximate nearest neighbors (FLANN); random sample consensus (RANSAC)

Online: 4 December 2023 (11:14:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1378.v1

ASISO: A Robust and Stable Data Synthesis Method to Optimize Samples

Yukun Du, Yitao Cai, Xiao Jin, Hongxia Wang, Yao Li, Min Lu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: data synthesis; unknown noise; interpolation; sample optimization; robust

Online: 18 August 2023 (12:00:13 CEST)

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Preprint REVIEW | doi:10.20944/preprints201905.0140.v2

Methods to Grow Better Diffractive Protein Crystals Acquired through Space Experiments

Yoshinobu Hashizume, Koji Inaka, Naoki Furubayashi, Masayuki Kamo, Sachiko Takahashi, Hiroaki Tanaka

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: protein crystallization; protein sample qualification; JAXA PCG; microgravity

Online: 15 December 2019 (13:43:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201809.0327.v1

Localization Parameters for Interacting Particles in Disordered Two- Dimensional Lattices

Tirthaprasad Chattaraj

Subject: Physical Sciences, Condensed Matter Physics Keywords: disordered system; two dimension; localization

Online: 18 September 2018 (05:37:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0741.v1

Exploitation of Bio Inspired Classifiers for Performance Enhancement in Liver Cirrhosis Detection from Ultrasonic Images

Harikumar Rajaguru, Karthikamani R.

Subject: Engineering, Bioengineering Keywords: PCM; FCM; PFCM; Sample Entropy; GMM; SDC; AAO; SVM

Online: 10 April 2024 (13:23:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0530.v1

Effect of Field Sample Size on Large-Scale Subtropic Forest Inventory Attribute Estimation Based on Airborne Laser Scanner Data

Yu Zhu, Zhou Xiang Bei, Lin Xin, Chen Zhong Chao, Zhou Mei, Li Chun Gan

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: airborne LiDAR; forest attributes; multivariate power model; sample size

Online: 22 June 2021 (13:03:33 CEST)

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Exploring the effect of the sample size on the estimation accuracy of airborne LiDAR forest attributes in a large-scale area can help in optimizing the technical application scheme of operational ALS-based large-scale forest stand inventories. In our study, sample datasets composed of different sample plots were constructed by repeated sampling from 1003 sample plots in a subtropical study area covering 2376 × 103 km2. Sixteen multiplicative power models were built in each forest type consisting of four forest attributes. Through these models, the variations of standard deviation (SD) and coefficient of variation (CV) of R2 and rRMSE of forest attribute estimation models for different quantity levels of sample plots were also analyzed. The results showed that, first, when the sample size increased from 30 to the top limit, the SD of the forest attributes and LiDAR variables showed a decreasing trend. Second, as the sample size increased, the rRMSE of the 16 forest attribute estimation models gradually decreased, while the R2 gradually increased. Third, when the sample size was small, both the SD of R2 and rRMSE of the models were large, and the SD of R2 and rRMSE gradually decreased as the sample size increased. In 50 models conducted for each attribute at the same sample size, for the mean standard deviations of forest attributes, the ten best performing models were lower than those of the total 50 models, and the worst ten models were the opposite. When the sample size increased, the accuracy of each forest attribute estimation model for each forest type gradually improved. The variation of forest attributes and the LiDAR variable of the construction model are critical factors that affect the model’s accuracy. To efficiently apply airborne LiDAR in order to survey large-scale subtropical forest resources, the sample size of the Chinese fir forest, pine forest, eucalyptus forest, and broad-leaved forest should be 110, 80, 85, and 70, respectively.

Preprint ARTICLE | doi:10.20944/preprints201910.0210.v1

Scanning Magnetic Microscope Using A Hall-Effect Sensor for Images of Remanent Magnetization Fields

Jefferson F. D. F. Araujo, Angela A. P. Correa, Elder Yokoyama, Andre L. A. dos Reis, Vanderlei C. Oliveira Jr., Leonardo A. F. Mendoza, Marcos A. C. Pacheco, Cleanio Luz-Lima, Amanda F. Santos, Fredy G. Osorio G., Giancarlo E. Brito, Wagner W. R. Araujo, Tahir Tahir, Antonio C. Bruno, Tommaso Del Rosso

Subject: Physical Sciences, Applied Physics Keywords: scanning magnetic microscopy; Hall sensor; magnetic measurements; geological sample

Online: 18 October 2019 (08:53:15 CEST)

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Scanning magnetic microscopy is a new tool that has recently been used to map magnetic fields with good spatial resolution and field sensitivity. This technology has great advantages over other instruments; for example, its operation does not require cryogenic technology, which reduces its operational cost and complexity. Here, we describe the construction of a customizing scanning magnetic microscope based on commercial Hall-effect sensors at room temperature that achieves a spatial resolution of 200 µm. Two scanning stages on the x- and y-axes of precision, consisting of two coupled actuators, control the position of the sample, and this microscope can operate inside or outside a magnetic shield. We obtained magnetic field sensitivities better than 521 nT_rms/√Hz between 1 and 10 Hz, which correspond to a magnetic momentum sensitivity of 9.20 × 10^–10 Am². In order to demonstrate the capability of the microscopy, polished thin sections of geological samples, samples containing microparticles and magnetic nanoparticles were measured. For the geological samples, a theoretical model was adapted from the magnetic maps obtained by the equipment. Vector field maps are valuable tools for the magnetic interpretation of samples with a high spatial variability of magnetization. These maps can provide comprehensive information regarding the spatial distribution of magnetic carriers. In addition, this model may be useful for characterizing isolated areas over samples or investigating the spatial magnetization distribution of bulk samples at the micro and millimeter scales. As an auxiliary technique, a magnetic sweep map was created using Raman spectroscopy; this map allowed the verification of different minerals in the samples. This equipment can be useful for many applications that require samples that need to be mapped without a magnetic field at room temperature, including rock magnetism, the nondestructive testing of steel materials and the testing of biological samples. The equipment can not only be used in cutting-edge research but also serve as a teaching tool to introduce undergraduate, master's and Ph.D. students to the measurement methods and processing techniques used in scanning magnetic microscopy.

Preprint ARTICLE | doi:10.20944/preprints201903.0158.v1

Characterizing Complex Mineral Structures in Thin Section of Geological Sample with a Scanning Hall Effect Microscope

Jefferson F. D. F. Araujo, Andre L. A. dos Reis, Vanderlei C. Oliveia, Amanda F. Santos, Cleanio Luz-Lima, Elder Yokoyama, Leonardo A. F. Mendozaand, Joao M. Perreira, Antonio C. Bruno

Subject: Physical Sciences, Applied Physics Keywords: magnetic scanning microscope; hall sensor; magnetic materials; geological sample

Online: 15 March 2019 (02:12:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.1856.v1

Theoretical Prediction of the Anti-Icing Activity of Two-Dimensional Ice I

Si-Cheng Liu, Xiao-Yan Liu, Yi-Ning Li, Qing Guo, Xiang-Ting Yu, Yi YIn, Hao-Ze Jing, Peng Zhang

Subject: Physical Sciences, Chemical Physics Keywords: two-dimensional ice; anti-icing; hydrophobic

Online: 27 July 2023 (09:27:11 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202011.0329.v1

Seeing Invisible Light: 2-photon Microperimetry to Measure Visual Function

Urmi Mehta, Grazyna Palczewska, Ken Lin, Andrew Browne

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Two-photon microperimetry; cataracts; visual sensitivity

Online: 12 November 2020 (08:41:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0461.v1

Studies on the PII-PipX-NtcA Regulatory Axis of Cyanobacteria Provide Novel Insights into the Advantages and Limitations of Two-Hybrid Systems for Protein Interactions

Paloma Salinas, Sirine Bibak, Raquel Cantos, Lorena Tremiño, Carmen Jerez, Trinidad Mata, Asunción Contreras

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: protein-protein interaction; nitrogen interaction network; BACTH; Synechococcus elongatus PCC7942; yeast two-hybrid; bacterial two-hybrid

Online: 8 April 2024 (05:43:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0714.v1

Foundational Effects of Organizational Climate on Perceived Safety Climate: A Multiple Mediation Model

Yuzhong Shen, Yadi Li, Chuanjing Ju, Hassan Ashraf, Zhen Hu, Changquan He, Shoeb Ahmed Memon

Subject: Social Sciences, Safety Research Keywords: Organizational climate; Safety climate; Multiple mediation; Construction personnel; Random sample

Online: 12 July 2023 (03:06:04 CEST)

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Organizational climate is the ascribed psychological meanings and significance associated with the procedures, policies and practices that are recognized and rewarded in the workplace, and hence mediates the effects of environmental stimuli on individuals’ response. Safety climate is a specific organizational climate, i.e., organizational climate for safety. Previous research claimed that organizational climate provides foundation for safety climate, but without elaboration on the foundational mechanisms. This paper attempts to fill up this knowledge gap. As organizational climate is a multi-dimensional phenomenon, this paper chooses two dimensions, i.e., perceived organizational support (POS) and participative decision-making (PaDM), for illustrative purposes. Drawing on an interactive approach to forming climate perceptions, this paper introduces two interactive constructs, i.e., leader-member exchange (LMX) and team member exchange (TMX), and establishes a multiple mediation model depicting the foundational effect of organizational climate on safety climate. A random sample of Hong Kong based construction personnel is used to validate the model. The results show that both POS and PaDM are positively associated with perceived safety climate, both LMX and TMX fully mediate the effect of PaDM on safety climate, and only LMX partially mediates the effect of POS on safety climate. This study sheds light on the foundational effects of organizational climate on safety climate. POS can improve the quality of reciprocal exchange about safety matters between construction personnel and their supervisors, and hence raise construction personnel’s awareness of the priority of safety. PaDM can improve the quality of reciprocal exchange about safety matters vertically and horizontally, and hence have construction personnel aware the importance of safety. In practice, this paper suggests that project managers timely recognize and reward construction personnel’s contribution, genuinely cares about their well-being, and take their suggestions seriously in making decisions. In this way, the quality of both vertical and horizontal exchange about safety matters improves, and a sound and positive safety climate ensues.

Preprint ARTICLE | doi:10.20944/preprints202304.1111.v1

Simple, Fast and Convenient Magnetic Bead-based Sample Preparation for Detecting Viruses via Raman-Spectroscopy

Susanne Pahlow, Marie Richard-Lacroix, Franziska Hornung, Nilay Koese-Vogel, Thomas G. Mayerhoefer, Julian Hniopek, Oleg Ryabchykov, Thomas Bocklitz, Karina Weber, Ralf Ehricht, Bettina Löffler, Stefanie Deinhardt-Emmer, Juergen Popp

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: viruses; SARS-CoV-2; Raman spectroscopy; magnetic beads; sample preparation

Online: 28 April 2023 (04:46:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0369.v1

Determination of Avermectins Residues in Soybean, Bean and Maize Using a QuEChERS-based Method and Ultra-high-performance Liquid Chromatography Coupled to Tandem Mass Spectrometry

Fernanda Uczay, Nelson M.G. Bandeira, Luana Floriano, Osmar D. Prestes, Martha B. Adaime, Renato Zanella

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Macrocyclic lactones; agricultural crops; food; sample preparation; UHPLC-MS/MS

Online: 25 October 2021 (15:50:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0069.v1

The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes Under Uncertain Demand, Yields, and Prices

Sheng-I Chen, Wei-Fu Chen

Subject: Engineering, Automotive Engineering Keywords: fresh agricultural products; harvest schedule; stochastic programming; sample-average approximation

Online: 2 July 2021 (15:44:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0090.v1

Tapering, Tree Rings and Biomass Production of Pinus roxburghii (Sarg.): A Dendrochronological Study

Hari Prasad Pandey, Narayan Prasad Pokhrel

Subject: Biology And Life Sciences, Forestry Keywords: age; coring sample; forest productivity; Nepal; P. roxburghii; stand structure

Online: 4 September 2020 (08:08:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0612.v1

Structural, Magnetic, and Mechanical Properties of Nd₁₆(Fe_76-xCo_x)B₈ 0 ≤ x ≤ 25 Alloys

Juan Sebastián Trujillo Hernández, Ahmed Talaat, Jesus A. Tabares, Dagoberto Oyola Lozano, Humberto Bustos Rodriguez, Hugo Martinez Sanchez, German A. Pérez Alcázar

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: Mössbauer spectroscopy; X-ray diffraction; Vibrating sample magnetometry; NdFeB magnets

Online: 25 July 2020 (15:54:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0102.v1

Predicting Disaggregated Tourist Arrivals in Sierra Leone using ARIMA Model

Emerson Abraham Jackson, Edmund Tamuke

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: ARIMA Methodology; Out-of-Sample Forecast; Tourist Arrivals; Sierra Leone

Online: 9 September 2019 (12:11:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0184.v1

HoSeIn: A Workflow for Integrating Various Homology Search Results from a High-Throughput Sequence Dataset

Christina McCarthy, Gastón Rozadilla, Jorgelina Moreiras Clemente

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: Metagenomics; Metatranscriptomics; Environmental sample; Homology searches; Taxonomic profile; Functional profile

Online: 17 December 2018 (09:51:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0459.v1

Why is the Effect of Live Fuel Moisture Content on Fire Rate of Spread Underestimated in Field Experiments in Shrublands?

Francois Pimont, Julien Ruffault, Nicolas Martin, Jean-Luc Dupuy

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Sample size, Measurement error, Generalized Additive Model, GAM, Réseau Hydrique.

Online: 19 October 2018 (16:53:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1181.v1

Programmable Complex Shape Changing of Polysiloxane Main-Chain Liquid-Crystalline Elastomers

Yuhe Zhang, Xiuxiu Wang, Wenlong Yang, Huixuan Yan, Xinyu Zhang, Dongxu Han, Yifan He, Chensha Li, Liguo Sun

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: Polysiloxane liquid crystalline elastomer; Programmable shape morphing; Two-way network memory; Mechanical programming process; Two-step crosslinking

Online: 28 April 2023 (12:53:25 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202303.0092.v1

A Proposed Experimental Scheme for the Generation of Tunable THz Spectral at Narrow Bandwidth via Two Color Laser Induced-Plasma

Moses Eshovo Ojo

Subject: Physical Sciences, Optics And Photonics Keywords: narrow-bandwidth; two-color laser; tunable frequency

Online: 6 March 2023 (06:23:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0190.v1

Boron Monochalcogenides; Stable and Strong Two-Dimensional Wide Band-Gap Semiconductors

Bohayra Mortazavi, Timon Rabczuk

Subject: Engineering, Mechanical Engineering Keywords: two-dimensional semiconductor; first-principles; mechanical; thermal

Online: 14 May 2018 (11:46:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1013.v1

Conditions for Minimizing the Computational Complexity of the RCWA Calculation of the Diffraction Efficiency of Sawtooth Two-Layer Double-Relief Microstructures

Grigoriy Isaevich Greisukh, Artem Ivanovich Antonov, Evgeniy Grigorievich Ezhov, Victor Anatolyevich Danilov, Boris Alexandrovich Usievich

Subject: Physical Sciences, Optics And Photonics Keywords: two-layer two-relief diffractive microstructure; diffraction efficiency; scalar and rigorous theories of diffraction; rigorous coupled-wave analysis

Online: 15 May 2023 (09:52:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0088.v1

Disparities and outcomes in the first and second year of the pandemic on events of acute myocardial infarction in COVID-19 patient

Jasninder Dhaliwal, Manraj S Sekhon, Arush Rajotia, Ashujot K Dang, Prabh Partap Singh, Hemamalini Sakthivel, Raheel Ahmed, Renuka Verma, Kamleshun Ramphul, Prabhdeep S Sethi

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: COVID-19; Cardiovascular complications; national inpatient sample; United States; mortality; epidemiology

Online: 4 March 2024 (09:39:13 CET)

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Preprint REVIEW | doi:10.20944/preprints202308.1536.v2

Non-invasive Multiregional Tumor Sampling Using Magnetic Nanoparticle-Loaded Macrophages

Michael Renteln

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Multiregional sequencing; multi-sample sequencing; targeted cancer therapy; OVERCOME; macrophage magnetotaxis

Online: 7 September 2023 (02:54:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0055.v1

Defanging Chloroform – Mitigation of Deuterated Chloroform Decomposition to Stabilise Susceptible NMR Samples

Jan Teipel, Vera Gottstein, Eva Hölzle, Katja Kaltenbach, Dirk W. Lachenmeier, Thomas Kuballa

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: NMR; chemometrics; chloroform; phosgene; hydrochloric acid; sample degradation; pH-shift; protonation

Online: 5 July 2022 (03:53:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0199.v1

Sub-Millisecond Integrated Mix-and-Inject Microfluidic Sample Delivery Devices

Majid Hejazian, Eugeniu Balaur, Brian Abbey

Subject: Physical Sciences, Acoustics Keywords: Microfluidics; Micro-Jet; Sub-millisecond mixing; Simulation; Sample delivery for XFEL

Online: 8 February 2021 (12:12:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0551.v1

Automated Supported Liquid Extraction for the analysis of a panel of 12 endogenous steroids in human plasma by LC-MS/MS

Scott G Denham, George Just, Catriona J Kyle, Jennifer Richardson, Patricia Lee, Joanna P Simpson, Robert M Gifford, Ruth Andrew, Rebecca M Reynolds, Natalie ZM Homer

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: steroids; steroid panel; clinical mass spectrometry; plasma; sample automation; endocrine; Synacthen

Online: 21 November 2020 (08:36:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints201803.0052.v1

Gender Inequality in Literacy Status and Households Economic Well-Being in Burkina Faso: A Semiparametric Bi-variate Sample Selection Modeling Approach

Ibrahim Niankara

Subject: Business, Economics And Management, Economics Keywords: Burkina Faso, Economic Well-Being, Gender inequality, Literacy status, Sample Selection

Online: 7 March 2018 (09:27:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1676.v1

Squeezing Droplet Formation in a Flow-Focusing Micro Cross-Junction

Filippo Azzini, Beatrice Pulvirenti, Massimiliano Rossi, Gian Luca Morini

Subject: Engineering, Other Keywords: Two-phase flow; OpenFOAM; droplet simulation; micro-junction

Online: 23 January 2024 (09:46:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1986.v1

On the Intrinsic Properties Effects of the Heater Surface in Nucleate Pool Boiling: A Simulation Study

Karina Mazzitello, Viviana Masson, Christian Marcel

Subject: Physical Sciences, Fluids And Plasmas Physics Keywords: Fluids; Numerical Simulations; Two Phases; Nucleate pool boiling

Online: 27 December 2023 (04:22:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1067.v2

Homogenization of Smoluchowski Equations in Thin Heterogeneous Porous Domains

Reine Gladys Noucheun, Jean Louis Woukeng

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Homogenizatio; Smoluchowski equation; two-scale convergence; thin domains

Online: 6 September 2023 (14:27:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202211.0023.v1

Two-Parameter Exponentially-Fitted Taylor Method for Oscillatory/Periodic Problems

Ashiribo Senapon Wusu, Olusola Aanu Olabanjo, Manuel Mazzara

Subject: Computer Science And Mathematics, Mathematics Keywords: Taylor; exponentially-fitted; two-parameter; periodic; oscillatory; frequency

Online: 1 November 2022 (07:29:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0385.v1

One-electron Energy Spectra of Heavy Highly Charged Quasimolecules

Artem A. Kotov, Dmitry A. Glazov, Vladimir Shabaev, Günter Plunien

Subject: Physical Sciences, Acoustics Keywords: Two-center Dirac equation; Quasimolecules; Heavy-ion collisions

Online: 17 May 2021 (13:15:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0015.v1

Novel Modular Rhodopsins from Green Algae Hold Great Potential for Cellular Optogenetic Modulation across the Biological Model Systems

Mayanka Awasthi, Kumari Sushmita, Manish Kaushik, Peeyush Ranjan, Suneel Kateriya

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Enzymerhodopsin; Channelrhodopsins; Optogenetics; Two-component system; Cyclase; Phosphodiesterase

Online: 1 September 2020 (11:50:03 CEST)

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Working Paper ARTICLE

High-Sensitivity Detection of IgG Operating Near the Dispersion Turning Point in Tapered Two-Mode Fibers

Bing Sun, Yiping Wang

Subject: Engineering, Control And Systems Engineering Keywords: biosensor; optical fiber sensor; two-mode fiber; sensitivity

Online: 20 February 2020 (05:33:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0427.v1

Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis

Vijaya Krishna Kanaparthi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Expected Events; Equally Weighted Allocation; Markowitz Asset Allocation; Out-of-Sample Events

Online: 6 December 2023 (15:38:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.1303.v1

A Posterior p-Value for Homogeneity Testing of the Three Sample Problem

Yufan Wang, Xingzhong Xu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: three sample problem; homogeneity test; bernstein-von Mises theorem; posterior p-value

Online: 18 August 2023 (08:17:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0223.v1

A Theory for Covid-19 Testing to Save Both Resources and Time

Chihjen Lee, Allison Lee, Lena Wang

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Covid; Covid testing; sample pooling; resources; time; binary system; probability; positivity rate

Online: 15 September 2022 (08:14:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0162.v1

Comprehensive Understanding of the Planform Complexity of the Anastomosing River and the Dynamic Imprint of the River’s Flow: Brahmaputra River in Bangladesh

Shiblu Sarker, Tanni Sarker, Sarder Udoy Raihan

Subject: Environmental And Earth Sciences, Ecology Keywords: anastomosing; erodibility; planform; Fourier transform; power spectral density; sample entropy; approximate entropy

Online: 12 May 2022 (08:03:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0258.v1

Rapid Monitoring of Organochlorine Pesticides Residues in Various Fruit Juices and Water Samples Using Fabric Phase Sorptive Extraction and Gas Chromatography-Mass Spectrometry

Ramandeep Kaur, Ripneel Kaur, Susheela Rani, Ashok Kumar Malik, Abuzar Kabir, Kenneth G. Furton, Victoria Samanidou

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Fabric phase sorptive extraction; Gas chromatography-Mass Spectrometry; Organochlorine pesticides; Sample preparation

Online: 25 January 2019 (14:56:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints201709.0117.v1

Significance Tests for Binomial Experiments: Ordering the Sample Space by Bayes Factors and Using Adaptive Significance Levels for Decisions

Carlos A. de B. Pereira, Adriano Polpo, Eduardo Y. Nakano

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: significance level; sample size; bayes ratio; likelihood function; optimal decision; significance test

Online: 25 September 2017 (08:33:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0192.v1

An Investigation of the Composition of the Flow in and out of a Two-stroke Diesel engine and Air Consumption Ratio

Mirko Grljušić, Ivan Tolj, Gojmir Radica

Subject: Engineering, Marine Engineering Keywords: two-stroke engine; uniflow scavenging; exhaust gas composition; two-stroke gas flow performance parameters; air-fuel ratio; air consumption factor/ratio

Online: 26 May 2017 (10:56:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1954.v1

Action Recognition via Adaptive Semi-Supervised Feature Analysis

Zengmin Xu, Xiangli Li, Jiaofen Li, Huafeng Chen, Ruimin Hu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Nonmonotone line search; Two-point stepsize gradient; Grassmannian kernels

Online: 29 May 2023 (03:34:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0623.v1

Estimation of Expectations and Variance Components in Two-Level Nested Simulation Experiments

David Fernando Muñoz

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: Bayesian forecasting; stochastic simulation; parameter uncertainty; two-level simulation

Online: 9 May 2023 (09:24:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0409.v1

New ICT-based Ratiometric Two-Photon Near Infrared Probe for Imaging Tyrosinase in Living Cells, Tissues and Whole Organisms

Javier Valverde-Pozo, Jose Manuel Paredes, Maria Eugenia García-Rubiño, Thomas Johann Widmann, Carmen Griñan-Lison, Silvia Lobon-Moles, Juan Antonio Marchal, Jose Maria Alvarez-Pez, Eva Maria Talavera

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: Tyrosinase; NIR sensor; Two-photon excitation; Melanoma; Zebrafish; Bioimaging

Online: 23 January 2023 (10:33:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202106.0100.v3

On the Use of Entropy as a Measure of Dependence of Two Events

Valentin Iliev

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: entropy; average information; degree of dependence; probability space; probability distribution; experiment in a sample space; linear system; affine isomorphism; classification space.

Online: 5 July 2021 (16:22:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0224.v1

Determinants of Smallholder Teff Farmers’ Market Participation; A Case Study In Gena-Bossa District, Dawro Zone, Ethiopia

Deresse Dalango, Wondaferhu Mulugeta, Tesfaye Melaku

Subject: Business, Economics And Management, Economics Keywords: Teff, Smallholder, market participation, Heckman two stages, Gena-Bossa.

Online: 8 November 2018 (15:11:03 CET)

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Increasing market participation among smallholder farmers have a big potential to uplift living standards of poor through increasing production and consumption pattern. Although, smallholder farming made 95% of total crop production in Ethiopia, they are exposed to a marketing bottleneck that hinders benefits from their produce. The objective of this study was analyzing factors determining smallholder Teff farmer decision to participate in output market and level of marketed output.The study used data from 190 respondents from four selected Teff dominant kebeles of Gena-Bossa districts in Dawro Zone, through structured questioner. This investigation was imperative because no adequate research has been done in study area in examining the hindering factors of farmers’ market participation. Moreover, in the prior study, different authors come up with varied outcomes in diverse country and geographic location concerning poor farmers’ market participation decision. The descriptive statistics and Heckman two stage econometric methods were employed to analyze data collected from sampled household. The significance of coefficient of inverse Mill’s ratio ( ) indicates the presence of self-selection bias and the effectiveness of applying Heckman two stage model. The results of study show that the smallholder decision to participate in output market were positively influenced by size of land holding, availability of family labor force, education status of household head, accessibility of credit service and access to market price information. On the other hand, size of family member, sex of house hold head being female and distance to market place discourage probability of Teff farmer market participation decision. Moreover, the second stage estimation reveals that, the education status of house hold head, size of farm land, amount of Teff crop produced, accessibility of market information, the size of family labor force and being member to farm cooperative increase the quantity of marketable output, whereas, large number of family size decline the level of Teff crops marketed. The policy that assist poor farmers in obtaining market skills; create affordable credit service; strengthen community based producer groups and capacitating the females socially and economically in the community believed to minimize the problems encountering small farmers in a way to market their crop

Preprint ARTICLE | doi:10.20944/preprints201809.0228.v1

Inter/Intramolecular Bonds in TH₅⁺ (T = C/Si/Ge): The Uniqueness of Carbon Bonds in Tetrel Bonds

Sharon Priya Gnanasekar, Eangannan Arunan

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: carbon bond; three centre-two electron bond; protonated methane

Online: 13 September 2018 (05:01:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0114.v2

Two-Way Coupling Fluid-Structure Interaction (FSI) Approach to Inertial Focusing Dynamics Under Dean Flow Patterns in Asymmetric Serpentines

Eric Pedrol, Jaume Massons, Francesc Díaz, Magdalena Aguiló

Subject: Physical Sciences, Fluids And Plasmas Physics Keywords: inertial focusing; dean flow; serpentine; fsi; two-way coupling

Online: 30 August 2018 (11:59:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0201.v1

CUBIT: Capacitive qUantum BIT

Sina Khorasani

Subject: Physical Sciences, Applied Physics Keywords: graphene; two-dimensional materials; nonlinear quantum circuits; quantum bits

Online: 15 May 2018 (05:29:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0146.v1

Bayesian Inference for Multiple Datasets

Renata Retkute, William Thurston, Christopher A. Gilligan

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: parameter estimation; adaptive multiple importance sampling; effective sample size; wind direction; pest invasion

Online: 2 April 2024 (07:17:01 CEST)

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Preprint REVIEW | doi:10.20944/preprints202401.1268.v2

Limits of Detection Analysis of Advanced Technologies for Bacterial Detection in Food Samples: Review & Future Perspective

Xinyi Zhao, Abhijnan Bhat, Christine O’Connor, James Curtin, Baljit Singh, Furong Tian

Subject: Biology And Life Sciences, Food Science And Technology Keywords: limit of detection; bacterial detection; food sample; LFIA; PCR; electrochemical; multiplexing; food safety

Online: 20 February 2024 (06:30:15 CET)

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Foodborne illnesses can be infectious and dangerous and most of them are caused by bacteria. Some types of common food-related bacteria exist widely in nature and pose a serious threat to both humans and animals, and can cause poisoning, diseases, disabilities and even death. Rapid, reliable and cost-effective methods for bacteria detection are of paramount importance in food-safety and environmental monitoring. Polymerase chain reaction (PCR), lateral flow immunochromatographic assay (LFIA) and electrochemical method have been widely used in food-safety and environmental monitoring. In this paper, the recent developments (2013-2023) covering PCR, LFIA and electrochemical method for various bacteria detection (Salmonella, Listeria, Campylobacter, Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli)) considering different foods types, analytical performances and the reported limit of detection (LOD) are discussed. It is found that the bacteria type and food sample type contribute significantly to the analytical performance and LOD. Detection by LFIA has higher average LOD (24 CFU/ml) than detection by electrochemical method (12 CFU/ml) and PCR (6 CFU/ml). Salmonella and E. coli in the Pseudomonadota domain usually have low LODs. LODs are usually lower for detection in fish and eggs. LFIA with gold and iron nanoparticles are prominent in the majority of articles of 26 CFU/ml and 12 CFU/ml respectively. Electrochemical method reveals that the average LOD is highest for cyclic voltammetry (CV) of 18 CFU/ml), followed by electrochemical impedance spectroscopy (EIS) of 12 CFU/ml and differential pulse voltammetry (DPV) of 8 CFU/ml. LOD usually decreases when replicate number increases until it remain unchanged. Exponential relations with (R²>0.95) between LOD of Listeria in milk by LFIA and electrochemical method with replicate number have been obtained. Finally, the review discusses the challenges and future perspectives (including the role of nanomaterials/advanced materials) to improve the analytical performance for bacterial detection.

Preprint ARTICLE | doi:10.20944/preprints202311.1797.v1

Variability of Wood Basic Density and Other Parameters of Trees on a 45-Year-Old Plantation of Scots Pine (Pinus sylvestris L.)

Evgenii Sharapov, Yury Demakov, Aleksandr Korolev

Subject: Biology And Life Sciences, Forestry Keywords: core sample; drilling resistance; moisture content; nondestructive testing; initial plantation density; ultrasound velocity

Online: 28 November 2023 (10:08:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1990.v1

Effects of the Use of a Passive Lumbar Exoskeleton in Muscle under Laboratory Conditions

Sofía Iranzo, Juan Manuel Belda Lois, Jose Luis Martinez-de-Juan, Gema Prats-Boluda

Subject: Engineering, Bioengineering Keywords: muscle interaction; passive industrial exoskeleton; electromyography; mutual information; multivariate sample entropy; Granger Causality

Online: 28 September 2023 (10:09:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1319.v1

Label-Free Analysis of Urine Samples by In-Flow Digital Holographic Microscopy

Lucia Gigli, Nicoleta Braidotti, Maria Augusta do R.F.B. Lima, Catalin Ciubotaru, Dan Cojoc

Subject: Physical Sciences, Biophysics Keywords: urine analysis; digital holographic microscopy bacteria detection; urinary tract infection; biofluid sample screening

Online: 19 June 2023 (08:24:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0101.v1

Clinical Research in Ayurveda - Can Statistics as A Scientific Discipline Help the Cause?

Vinay Mahajan, Vivek Sanker MK, Aswhini Mathur

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Ayurveda research; good research; hypothesis generation; hypothesis testing; managing bias and sample size

Online: 7 June 2022 (09:45:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0250.v1

Acid Dissolution of Neodymium Magnet Nd-Fe-B in Different Conditions

Akmaral Gazizovna Ismailova, Gulsara Zhakashovna Akanova, Duisek Khaissagalievich Kamysbayev

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: acid dissolution; neodymium magnet; open system; microwave sample preparation system; ICP-MS analysis

Online: 11 May 2021 (15:06:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0278.v1

Inversion of Lift-Off Distance and Thickness for Non-Magnetic Metal Using Eddy Current Testing

Xiaobai Meng, Mingyang Lu, Wuliang Yin, Abdeldjalil Bennecer, Katherine Kirk

Subject: Engineering, Automotive Engineering Keywords: Eddy current sensor; lift-off measurement; thickness measurement; non-destructive testing; sample-independence.

Online: 9 November 2020 (11:11:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints201701.0085.v2

Fabric Phase Sorptive Extraction Explained

Abuzar Kabir, Rodolfo Mesa, Jessica Jurmain, Kenneth Furton

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: fabric phase sorptive extraction (FPSE); sol-gel; phenols; environmental pollution; sample preparation; microextraction; green analytical chemistry (GAC)

Online: 10 May 2017 (04:37:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0589.v1

Synthetic Image Generation using Conditional GAN Provided Single Sample Face Image

IQBAL MUHAMMAD ALI, Waqas Jadoon, Soo Kyun Kim

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolutional Neural Network (CNN); Single Sample Per Person (SSPP); Conditional Generative Adversarial Network (CGAN)

Online: 8 April 2024 (16:59:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0625.v1

No Evidence Of Sensory Neuropathy In A Traditional Mouse Model Of Idiopathic Parkinson’s Disease

Mahvish Faisal, Anna Rusetskaya, Liis Vali, Pille Taba, Ave Minajeva, Miriam A Hickey

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Heat sensation; cold sensation; touch sensation; sample size; repeated testing; unbiased stereology; motor coordination

Online: 11 March 2024 (11:31:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1104.v1

Impact of COVID-19 Pandemic on Cardiovascular Healthcare in Croatia: A Comprehensive Nationwide Survey

Josip Lukenda, Josip Andelo Borovac

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: cardiology services; Croatia; COVID-19; pandemic; healthcare; national sample; interventional cardiology; hospitals; admissions; outpatient

Online: 15 January 2024 (08:09:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0237.v1

Multi-Block Color-Binarized Statistical Images for Single Sample Face Recognition

Insaf Adjabi, Amir Benzaoui, Abdeldjalil Ouahabi, Sebastien Jacques

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Biometrics; Face Recognition; Single Sample Face Recognition; Binarized Statistical Image Features; K-Nearest Neighbors

Online: 9 December 2020 (18:25:02 CET)

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Working Paper ARTICLE

A Novel Clinical Research Modality for Enrolling Diverse Participants Using a Diverse Team

Phoebe Lay

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: brain injuries; traumatic brain injury; children; diversity; student-led; participant-focused; recruitment; sample; methods

Online: 7 July 2020 (04:42:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0187.v1

Sample Preservation and Plant Sex Prediction in White Guinea Yam (Dioscorea rotundata Poir.) Seedlings

Asrat Asfaw, Paterne Agre, Chidinma Nwachukwu, Bunmi Olasanmi, Jude Obidiegwu, Emmanuel Nwachukwu, Patrick Adebola, David De Koeyer

Subject: Biology And Life Sciences, Plant Sciences Keywords: dioecious; DNA quality; flower type; sample preservation method; sex genotype; sex phenotype; visual assay

Online: 14 February 2020 (04:22:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0376.v1

Rock Sample Surface Preparation Influences Thermal Infrared Spectra

Evelien Rost, Christoph Hecker, Martin C. Schodlok, Freek D. van der Meer

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: thermal infrared; reflectance spectroscopy; emissivity; surface roughness; geological sample preparation; hyperspectral; drill core scanning

Online: 17 October 2018 (07:51:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0521.v1

Choosing the Target Difference (“effect size”) for a Randomised Controlled Trial - DELTA² Guidance

Jonathan A. Cook, Steven A. Julious, William Sones , Lisa V. Hampson, Catherine Hewitt, Jesse A. Berlin, Deborah Ashby, Richard Emsley, Dean A. Fergusson, Stephen J. Walters, Edward C.F. Wilson, Graeme Maclennan, Nigel Stallard , Joanne C. Rothwell, Martin Bland, Louise Brown , Craig R. Ramsay, Andrew Cook, David Armstrong, Doug Altman, Luke David Vale

Subject: Medicine And Pharmacology, Complementary And Alternative Medicine Keywords: Target difference, clinically important difference, sample size, guidance, randomised trial, effect size, realistic difference

Online: 30 August 2018 (10:33:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1655.v1

A Two-Stage Twisted Blade μ-Vertical Axis Wind Turbine – An Enhanced Savonius Rotor Design

Andrés Pérez-Terrazo, Martin Moreno, Iván Trejo-Zúñiga, J. Alberto López

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: VAWT; Energy Harvesting; Two-Stage Design; Renewable Energy; Wind Technology

Online: 2 March 2024 (17:13:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1078.v1

Computational Analysis of Two-Phase Flow Dynamics in a Porous Transport Layer of a PEM Electrolyzer

Fang-Bor Weng, Mangaliso Menzi Dlamini, Pandu Ranga Tirumalasetti, Bo –Shiun Hung, Durgarao Nelli, Pin-Chi Chiu, Chen Chia Hung

Subject: Engineering, Energy And Fuel Technology Keywords: PEMWE; two-phase flow simulation; PTL; pressure distribution; oxygen generation

Online: 16 November 2023 (11:26:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1186.v1

Valley–Selective High Harmonic Generation and Polarization Induced by an Orthogonal Two–Color Laser Field

Xi Liu, Dongdong Liu, Yan Sun, Yujie Li, Cui Zhang

Subject: Physical Sciences, Optics And Photonics Keywords: high harmonic generation; orthogonal two–color field; valleytronics; gapped graphene

Online: 19 September 2023 (04:06:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0282.v1

Impact of Fixed Cost Increase on the Optimization of Two-Stage Sustainable Supply Chain Network

Ahmed Mostafa, Kamal Moustafa, Raafat Elshaer

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: Supply chain; Network design; Two-Stage; Fixed cost; Sensitivity analysis

Online: 3 August 2023 (09:57:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0938.v1

Experimental Investigation on Improvement Potential of Heat Pump Equipped with Two-Phase Ejector

Wichean Singmai, Kasemsil Onthong, Tongchana Thongtip

Subject: Engineering, Mechanical Engineering Keywords: Ejector-expansion heat pump; expansion work recovery; two-phase ejector

Online: 13 June 2023 (12:29:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0433.v1

Characterization of a Driven Two-level Quantum System by Supervised Learning

Raphael Couturier, Etienne Dionis, Stéphane Guérin, Christophe Guyeux, Dominique Sugny

Subject: Physical Sciences, Quantum Science And Technology Keywords: Optimal control; supervised learning; system characterization; two-level quantum systems

Online: 23 December 2022 (01:44:57 CET)

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Preprint REVIEW | doi:10.20944/preprints202212.0247.v2

Recent Advances in Surface Modifications of Elemental Two-Dimensional Materials: Structures, Properties, and Applications

Junbo Chen, Chenhui Wang, Hao Li, Xin Xu, Jiangang Yang, Zhe Huo, Lixia Wang, Weifeng Zhang, Xudong Xiao, Yaping Ma

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: elemental two-dimensional materials; allotropic structures; surface modifications; properties; applications

Online: 19 December 2022 (02:51:52 CET)

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Preprint HYPOTHESIS | doi:10.20944/preprints202003.0183.v1

Two Achilles' Heels of the Ebolavirus Glycoprotein?

Wei Li

Subject: Biology And Life Sciences, Biophysics Keywords: Ebolavirus glycoprotein; Electrostatic interaction; Salt bridging network; Two Achilles' heels

Online: 11 March 2020 (10:32:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0029.v1

Pedestrian Detection Based on Two-Stream UDN

Wentong Wang, Lichun Wang, Xufei Ge, Jinghua Li, Baocai Yin

Subject: Computer Science And Mathematics, Computer Science Keywords: pedestrian detection; Unified Deep Net; two-stream nets; network training

Online: 4 January 2020 (06:08:39 CET)

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Pedestrian detection is the core of driver assistance system, which collects the road conditions through the radars or cameras on the vehicle, judges whether there is a pedestrian in front of the vehicle, supports decisions such as raising the alarm, automatically slowing down or emergency stopping to keep pedestrians safe, and improves the security when the vehicle is moving. Suffered from weather, lighting, clothing, large pose variations and occlusion, the current pedestrian detection still has a certain distance from the practical applications. In recent years, deep networks have shown excellent performance for image detection, recognition and classification. Some researchers employed deep network for pedestrian detection and achieve great progress, but deep networks need huge computational resources which make it difficult to put into practical applications. In real scenarios of autonomous vehicle, the computation ability is limited. Thus, the shallow networks such as UDN (Unified Deep Networks) is a better choice since it performs well on consuming less computation resources. Base on UDN, this paper proposes a new deep network model named as two-stream UDN, which augments another branch for solving traditional UDN’s indistinction of the difference between trees / telegraph poles and pedestrians. The new branch accepts the upper third part of the pedestrian image as input, and the partial image has less deformation, stable features and more distinguished characters from other objects. For the proposed two-stream UDN, multi-input features including HOG feature, Sobel feature, color feature and foreground regions extracted by GrabCut segmentation algorithms are fed. Compared with the original input of UDN, the multi-input features are more conducive for pedestrian detection since the fused HOG features and significant objects are more significant for pedestrian detection. Two-stream UDN is trained through two steps: First, the two sub-networks are trained until converge; then we fuse results of the two subnets as the final result and feed it back to the two subnets to fine tune network parameters synchronously. To improve the performance, Softplus is adopted as activation function to obtain faster training speed, and positive samples are mirrored and rotated with small angle to make positive and negative samples more balanced.

Preprint ARTICLE | doi:10.20944/preprints201904.0129.v1

Factors Affecting Electroplated Semiconductor Material Properties: The Case Study of Deposition Temperature on Cadmium Telluride

Ayotunde A. Ojo, I.M. Dharmadasa

Subject: Chemistry And Materials Science, Surfaces, Coatings And Films Keywords: Electrodeposition; CdTe film; Two-electrode configuration; thin films, electroplating temperature

Online: 10 April 2019 (12:32:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201902.0110.v1

Cooperated Routing Problem for Ground Vehicle and Unmanned Aerial Vehicle: The Application on Intelligence, Surveillance and Reconnaissance Missions

Yao Liu, Zhihao Luo, Zhong Liu, Jianmai Shi, Guangquan Cheng

Subject: Engineering, Control And Systems Engineering Keywords: two-echelon routing; vehicle routing; vehicle-mounted UAVs; ISR mission

Online: 13 February 2019 (10:33:55 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints201807.0583.v1

Enhancement Photocatalytic Activity of the Heterojunction of Two-Dimensional Hybrid Semiconductors ZnO/V₂O₅

Juan Aliaga, Nasla Cifuentes, Guillermo Gonzalez, Clivia Sotomayor-Torres, Eglantina Benavente

Subject: Chemistry And Materials Science, Chemical Engineering Keywords: photocatalysis; heterojunction; two dimensional semiconductor; ZnO; V2O5; methylene blue degradation

Online: 30 July 2018 (10:46:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0203.v2

A Self-Consistent Physical Model of the Bubbles in a Gas-Solid Two-Phase Flow

H. M. Dong, J. F. He, C. L. Duan, Y. M. Zhao

Subject: Physical Sciences, Thermodynamics Keywords: self-consistent physical model; bubbles; gas-solid two-phase flow

Online: 6 February 2018 (06:54:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints201703.0042.v1

A Wide-FoV Athermalized Infrared Imaging System with a Two-Piece Lens

Bin Feng, Zelin Shi, Yaohong Zhao, Haizheng Liu, Li Liu

Subject: Physical Sciences, Optics And Photonics Keywords: infrared imaging; wide field of view; athermalization; two-piece lens

Online: 8 March 2017 (04:40:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1623.v1

Refined Equivalent Modeling Method for Mixed Wind Farms Based on Small Sample Data

Qianlong Zhu, Wenjing Xiong, Haijiao Wang, Xiaoqiang Jin

Subject: Engineering, Electrical And Electronic Engineering Keywords: Mixed wind farm; refined equivalent modeling; artificial intelligence technology; small sample data; equivalent node model

Online: 25 September 2023 (08:32:04 CEST)

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Preprint REVIEW | doi:10.20944/preprints202312.0169.v1

The Conventional and Breakthrough Tool for the Study of L-glutamate Transporters

Kanako Takahashi, Kaoru Sato

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Xenopus oocyte; glutamate transporter; EAAT2; two-electrode voltage clamp; overexpression; excitotoxicity

Online: 4 December 2023 (10:03:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.1184.v1

Benchmarking Perception to Streaming Inputs in Vision‐Centric Autonomous Driving

Tianshi Jin, Weiping Ding, Mingliang Yang, Honglin Zhu, Peisong Dai

Subject: Engineering, Control And Systems Engineering Keywords: vison-centric perception benchmark; online assessment; streaming inputs; two-dimensional entropy

Online: 21 November 2023 (10:34:50 CET)

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In recent years, vision-centric perception has played a crucial role in autonomous driving tasks, encompassing functions such as 3D detection, map construction, and motion forecasting. However, the deployment of vision-centric approaches in practical scenarios is hindered by substantial latency, often deviating significantly from the outcomes achieved through offline training. This disparity arises from the fact that conventional benchmarks for autonomous driving perception predominantly conduct offline evaluations, thereby largely overlooking the latency concerns prevalent in real-world deployment. While a few benchmarks have been proposed to address this limitation by introducing effective evaluation methods for online perception, they do not adequately consider the intricacies introduced by the complexity of input information streams. To address this gap, we propose the Autonomous-driving Streaming I/O (ASIO) benchmark, aiming to assess the streaming inputs characteristics and online performance of vision-centric perception in autonomous driving. To facilitate this evaluation across diverse streaming inputs, we initially establish a dataset based on the CARLA Leaderboard. In alignment with real-world deployment considerations, we further develop evaluation metrics based on information complexity specifically tailored for streaming inputs and streaming performance. Experimental results indicate significant variations in model performance and ranking under different major camera deployments, underscoring the necessity of thoroughly accounting for the influences of model latency and streaming inputs characteristics during real-world deployment. To enhance streaming performance consistently across distinct streaming inputs features, we introduce a backbone switcher based on the identified streaming inputs characteristics. Experimental validation demonstrates its efficacy in perpetually improving streaming performance across varying streaming inputs features.

Preprint ARTICLE | doi:10.20944/preprints202311.1227.v1

SMART Method Based Optimal Control of AGC for Two-Area Interconnected Power System

Vinay Pratap Singh, A. V. Waghmare, V. P. Meena, U. K. Yadav, T. Varshney

Subject: Engineering, Control And Systems Engineering Keywords: AGC; SMART method; Jaya optimization; PID controller; two-area power system

Online: 20 November 2023 (07:52:50 CET)

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