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Preprint ARTICLE | doi:10.20944/preprints202105.0454.v1

Effect of Blend Oils from Waste Paring Coconut and Candlenut and Selenium for Formulating of Feed-in Nile Tilapia and Production Parameters

Kiki Haetami, Junianto Junianto, Iskandar Iskandar, Abun Abun

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: feed efficiency; Nile tilapia; paring coconut and candlenut; plant oils; selenium

Online: 19 May 2021 (17:04:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1370.v1

Rectangular Spiral Inward-Outward Alternating- Flow Polymer Thermal Collector for Solar Water Heating System—A Preliminary Investigation under Seri Iskandar, Malaysia Climate

Taib Iskandar Mohamad, Mohammad Danish Shareeman Mohd Syaifudeen, Abu Bakar Nasir

Subject: Engineering, Energy And Fuel Technology Keywords: Solar water heater; polymer thermal absorber; photothermal conversion; residence time; active system

Online: 21 May 2024 (12:43:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0136.v1

Identification of Novel Human USP2 Inhibitor: Might Involve in SARS-CoV-2 Papain-Like (PLpro) Protease Deubiquitination Activity

Muhammad Usman Mirza, Sarfraz Ahmad, Iskandar Abdullah, Matheus Froeyen

Subject: Biology And Life Sciences, Virology Keywords: deubiquitination; leukemia; ubiquitin-specific protease 2 (USP2); SARS-CoV-2 papain-like protease (PLpro); COVID-19

Online: 8 May 2020 (03:45:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202107.0279.v1

Social Determinants and Access to Water-Sanitation-Hygiene as Dominant Risk Factors of Stunting among Under-five Children in Rural Area of East Indonesia

Dini Suciyanti, Grace Wangge, Elisa Iskandar, Umi Fahmida, Taniawati Supali

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: rural; stunting; household size; Indonesia

Online: 13 July 2021 (08:28:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.2188.v1

Electrical Properties at Multi Frequencies for Analysis of Physical and Anatomical Properties of Fast-Growing Standing Teak Trees at Various Ages

Dyah Ayu Agustiningrum, Iskandar Zulkarnaen Siregar, Ratih Damayanti, Warsito Purwo Taruno, Harisma Nugraha, Lina Karlinasari

Subject: Biology And Life Sciences, Forestry Keywords: dielectric spectroscopy; nondestructive; standing trees; wood capacitance; wood properties

Online: 28 December 2023 (11:23:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0402.v1

Cultural Space Methodology on Assessment of Authenticity of Indigenous Community Forest and Conservation Area in Indonesia

Rizqi Abdulharis, Susilo Kusdiwanggo, Ida Nurlinda, Gustaff Harriman Iskandar, Angga Dwiartama, Andri Hernandi, Teguh Purnama Sidiq

Subject: Social Sciences, Geography, Planning And Development Keywords: cultural space; indigenous community; Indonesia; methodology

Online: 21 December 2022 (11:53:49 CET)

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Indigenous knowledge is proven to be one of the foundations of sustainable land and marine management. While indigenous knowledge is acknowledged as of important factors on maintenance of biodiversity of the planet, it also ensures the sustenance of social and economic system of indigenous community. To facilitate the application of indigenous knowledge on management of customary forest in Indonesia, since 2012, the Government of Indonesia has been providing formal access for indigenous communities to their forests to maintain forest sustainability and to enhance the welfare of indigenous community. Nonetheless, the achievement of sustainable development goals in the scope of forest and conservation area management is threatened by various competing interests and power imbalance, which mostly leads to conversion of naturally vegetated area, as well as the inability of the community to integrate new economic opportunities to its institution. Moreover, the Government of Indonesia has not been regulating the involvement of indigenous community on the management of conservation area. Most importantly, such a program provides no reference on indigenous community, especially on the assessment of authenticity of indigenous community’s forest. Cultural space methodology may fill the aforementioned gaps. The methodology was developed based on the notion of cultural space and land administration, particularly the people-and-land/marine space relationship. Moreover, such a methodology was also constructed based on the experiences of agricultural and maritime communities in Indonesia on the administration of their territories. The methodology provides a procedure to convert information on the interrelation of indigenous community, its cultural space in forest and conservation area, and indigenous knowledge into geospatial information and data that represent the cultural space unit as a geographic feature. Therefore, such methodology may be utilised to assess the authenticity of a long-existing relationship between a community, especially an indigenous one, and its land, particularly that serves conservational function.

Preprint ARTICLE | doi:10.20944/preprints202206.0351.v1

Effect of Short Course on Improving the Cadres’ Knowledge in the Stunting Reducing Context through Home Visits in Yogya-karta, Indonesia

Tri Siswati, Slamet Iskandar, Nova Pramestuti, Jarohman Jarohman, Muhammad Primiaji Rialihanto, Agus Kharmayana Rubaya, Bayu Satria Wiratama

Subject: Social Sciences, Cognitive Science Keywords: cadres; children; growth; development; monitoring; IYCF; home visits

Online: 27 June 2022 (06:09:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0314.v1

Enhanced Performance of Cellulose from Palm Oil Empty Fruit Bunch (EFB) via Acetylation and Silylation

Muhammad Johan Iskandar Zahari, Noraisah Mohd Jahi, Nurul Hanisah Mohd, Ishak Ahmad, Azizah Baharum, Azwan Mat Lazim, Suria Ramli, Rizafizah Othaman

Subject: Chemistry And Materials Science, Biomaterials Keywords: empty fruit bunch, cellulose, palm oil industry, acetylation, silylation

Online: 17 July 2018 (16:05:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0671.v1

Improving Remote Monitoring of Carbon Stock in Tropical Forests Using Machine Learning: A Case Study in Indonesian Borneo

Andrew J. Chamberlin, Zac Yung-Chun Liu, Christopher G.L. Cross, Julie Pourtois, Iskandar Zulkarnaen Siregar, Dodik Ridho Nurrochmat, Yudi Setiawan, Kinari Webb, Skylar Hopkins, Susanne H. Sokolow, Giulio A. De Leo

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Carbon Stock Estimation; Deep Learning; Deforestation

Online: 11 June 2024 (10:14:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0230.v1

Advancing Secure and Efficient Sensor Data Integration in Smart Cities: A Blockchain-Based Approach

Abdul Rafay Saeed Khan, Hassan Jamil Syed, Junaid Shuja, Azeem Khan, Faizan Qamar, Quang Ngoc Nguyen

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Internet of Things; Cloud Computing; Blockchain; Smart Contract; Sensors; Data Storage

Online: 5 June 2024 (07:44:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1256.v1

SN 2017fzw: A Fast-expanding Type Ia Supernova with Transitional Features

Jia-Yu Huang, Yang-Yang Li, Xiang-Yun Zeng, Sheng Zheng, Sarah A.Bird, Ju-Jia Zhang, Ali Esamdin, Abdusamatjan Iskandar, K. Azaleee Bostroem, Shuguang Zeng, Yan-shan Xiao, Yao Huang, D. Andrew Howell, Curtis McCully, Wen-Xiong Li, Tian-Meng Zhang, Li-Fan Wang, Lei Hu

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: supernovae; general; supernovae; individual: SN 2017fzw; transitional supernovae

Online: 17 May 2023 (14:21:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0410.v1

Treated Wastewater Assessment to Optimize Agricultural Water Reuse in Al-Qatif Region Saudi Arabia Using Hybrid Machine Learning Techniques

Syed Muzzamil Hussain Shah, Mohamed A. Yassin, Sani I. Abba, Dahiru U. Lawal, Farouq Aliyu, Ebrahim Hamid Hussain Al-Qadami, Zahiraniza Mustaffa, Chaitanya B. Pande, Saad Sh. Sammen, Isam H. Aljundi

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: electrical conductivity; treated waste water; machine learning; prediction analysis; agricultural irrigation; water security; SDG-6

Online: 7 March 2024 (07:53:10 CET)

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In the era of mounting water scarcity, particularly in arid regions, the agricultural sector is striving to optimize the water resource management practices. Treated wastewater (TWW) has emerged as a viable alternative to freshwater for irrigation, offering a sustainable solution to water conservation. However, ensuring the safety and quality of TWW is paramount to safeguard for both crop health and environmental integrity. Electrical conductivity (EC), a critical factor in assessing TWW suitability for irrigation, can significantly impact crop yields and soil health since it is directly linked to the concentration of dissolved salts and ions. Therefore, this study delves into the development of advanced predictive models for EC assessment by employing supervised machine learning (ML) techniques like the Support Vector Regression (SVR), Adaptive Network-based Fuzzy Inference System (ANFIS), and Multiple Linear Regression (MLR). The TWW samples collected from Al-Qatif area, Saudi Arabia were assessed in the lab through a sensor-based real-time monitoring system integrated with Internet of Things (IoT) network and a multiprobe device. The key water quality parameters assessed involved, temperature (T), pH, Oxidation Reduction Potential (ORP), Resistivity (RES), Total Dissolved Solids (TDS), Salinity and Turbidity which served as the foundation for these models, given their profound influence on and their anticipated impact on EC levels. Following feature selection, two distinct model combinations were identified for the SVR, ANFIS and MLR models. Furthermore, to evaluate prediction performance, four statistical criteria, including coefficient of determination (R²), correlation coefficient (R), mean square error (MSE), and root mean square error (RMSE), were employed. Overall, the comparative performance results proved that ANFIS-M2 indicated the strongest predictive capability with the R² value of 0.99572 and 0.75145 and the RMSE values of 0.00965 and 0.01134, respectively in both calibration and verification stages.

Preprint ARTICLE | doi:10.20944/preprints202409.1855.v1

Antimicrobial Susceptibility of Uropathogenic Escherichia coli with Analysis of Impact of Socio-Economic Factors in Low, Medium and High-Income Countries

Meher Rizvi, Maria Khan, Amina AL Jardani, Ujjala Ghoshal, Zaaima AL Jabri, Mohammad Ahanjan, Azza AL Mamari, Nawal AL Shizawi, Hiba Sami, Abdullah Balkhair, Adila Shaukat, Alwarith Nasser Salem Alkharusi, Abdulrahman Almahrouqi, Afreenish Hassan, Ajay Kumar, Amal Malehi, Amina Gul, Ashima Singh, Asma Said Hamed AL Shidhani, Areena Hoda Siddiqui, Aruna Poojary, Azza AL Rashdi, Bradley Langford, Dmytro Stepanskyi, Abbas Dolatabadi, Aisha Al Mufraji AL Mufraji, Elham Said Ahmed AL Risi, Garima Kapoor, Isabella Princess, Hatim Ali Eltahir, Hilal Al Sidairi, Kaitlyn Dougherty, Katia Iskandar, Ken Masters, Ibrahim Khalaf Hamdan AL Busaidi, Laila AL Yazidi, Mahfuza Nasrin, Mahmood Salim AL Subhi, Mallika Sengupta Mallika Sengupta, Manisha Khandait, Nada Khalfan AL Tamtami, Nada Khafan Alsiyabi, Nawal AL Kindi, Nazla Musthafa Luthfee, Neha Shreshtha, Nihal Mohamed Amur AL Riyami, Noora Hilal Ali AL Busaidi, Nupur Goel, Oksana Ishchenko, Omnia Mohamed Elnabawy Ahmed Taher, Pragnya Paramita Jena, Rajni Ekadashi, Razan Zadjali, Reba Kanungo, Sara Abolghasemi, Salima Al-maqbali, Sanjay Jaju, Sayantan Banerjee, Shadma Yaqoob, Shahnaz Sali, Shafqat Husnain Khan, Shalini Malhotra, Stephen Hughes, Sundas Shaukat, Syed Mohammed Atif, Vrushali Vishwas Patwardhan, Victorien Dougnon, Wahid Khan, Walid Wali, Zakariya AL Muharrmi, Zeeshana Basit, Jasashree Choudhury, Rachita Pravalina, Sanjeev Singh, Sarman Singh, Neelam Taneja, Raman Sardana, Pawan Kapoor, Rajeev Soman, Rashid Al Abri

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: community acquired UTI; Escherichia coli; antimicrobial susceptibility; Indian subcontinent; MENA; GDP; temperature

Online: 24 September 2024 (12:32:05 CEST)

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