KAJIAN PENGETAHUAN LOKAL MASYARAKAT PETANI DALAM PENGELOLAAN DAERAH ALIRAN SUNGAI (DAS) KETAHUN DI KABUPATEN LEBONG by Agus Purwoko, Ketut Sukiyono, Indra Cahyadinata

“…An analytical descriptive method is used analyze data gathered from interview to 80 farmers selected by purposive sampling. The reserach indicates that sources of farmers’ local knowledge on natural resources management come from internal and external social system. …”
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The factors that attract healthcare professionals to and retain them in rural areas in South Africa by A. Rose, E. Janse van Rensburg-Bonthuyzen

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The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years by Tria Astika Endah Permatasari, Yudi Chadirin, Ernirita Ernirita, Anisa Nurul Syafitri, Devina Alifia Fadhilah

“…It accurately detected children at risk of stunting with an AUC of 89.6%. …”
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Assessing mesh size and diffusion of alginate bioinks: A crucial factor for successful bioprinting functional pancreatic islets by Carolin Hermanns, Rick H.W. de Vries, Timo Rademakers, Adam Stell, Denise F.A. de Bont, Omar Paulino da Silva Filho, Marlon J. Jetten, Carlos D. Mota, Sami G. Mohammed, Vijayaganapathy Vaithilingam, Aart A. van Apeldoorn

“…A crucial factor in selecting a cell compatible bioink, that maintains islet functionality, is the mesh size and diffusion capacity of the bioink. …”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…The sett is a crucial resource for badgers, serving various functions and significantly influencing their spatial ecology. …”
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A hybrid Bi-LSTM model for data-driven maintenance planning by Alexandros Noussis, Ryan O’Neil, Ahmed Saif, Abdelhakim Khatab, Claver Diallo

“…Hence, this paper develops a hybrid DL model using Monte Carlo dropout to generate RUL predictions which are used to construct empirical system reliability functions used for the optimization of the selective maintenance problem (SMP). …”
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MODEL FOR FORMING AN INFORMATION SYSTEM OF PROJECT TEAMS IN A SECURITY-ORIENTED SYSTEM by Oleh Zachko, Dmytro Kobylkin, Oleh Kovalchuk, Viacheslav Markov

“…Infrastructure design processes of the framework model of complex socio-technical systems for project management and human resource management programs, formation of a database of members of project BOS teams and their evaluation using the index method to optimize the selection of project team members in a security-oriented system were studied. …”
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Turning Waste into Treasure: Functionalized Biomass‐Derived Carbon Dots for Superselective Visualization and Eradication of Gram‐Positive Bacteria by Ke‐Fei Xu, Zihao Wang, Macheng Cui, Yuhan Jiang, Chengcheng Li, Zi‐Xi Wang, Ling‐Yi Li, Chenyang Jia, Lijie Zhang, Fu‐Gen Wu

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Isolation and screening of IAA-producing bacteria from glutinous sorghum leaves and its plant growth-promoting function by WANG Xinye, ZHANG Min, TIAN Xiaolong, YUAN Ping, LI Hongxia, LUO Zhenbiao, YUE Qianqian, ZHAO Liang*

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A general spectral bandpass adjustment function (SBAF) for harmonizing landsat-sentinel over inland and coastal waters by Thainara M.A. Lima, Vitor S. Martins, Rejane S. Paulino, Cassia B. Caballero, Daniel A. Maciel, Claudia Giardino

“…To ensure compatibility and consistency in harmonized products for aquatic studies, spectral bandpass adjustment function (SBAF) for cross-calibration between OLI and MSI sensors must be carefully derived and applied. …”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

“…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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Cvill6 and Cvill7: Potent and Selective Peptide Blockers of Kv1.2 Ion Channel Isolated from Mexican Scorpion <i>Centruroides villegasi</i> by Kashmala Shakeel, Muhammad Umair Naseem, Timoteo Olamendi-Portugal, Fernando Z. Zamudio, Lourival Domingos Possani, Gyorgy Panyi

“…Scorpion venoms are a rich source of peptides that modulate the activity of ion channels and can serve as a new drug for channelopathies. …”
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Fig abscission as a defense mechanism of Ficus trees against parasitism by non-pollinating fig wasps by Shang-Yang Lin, Bruno Di Giusto, Anthony Bain

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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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ATClean: A Novel Method for Detecting Low-luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf by S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L. Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L. Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J. L. Tonry, Q. Wang, Y. Zenati

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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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Tailoring the functional properties of Jir starch from pearl millet: Effects of extraction layer, fermentation time, and sudanese genotypes by Manhal Gobara Hamid, Khitma A. Sir Elkhatim, Amro B. Hassan, Mohamed A Ibraheem, Yousif M.A. Idris, Faraz Muneer, Mohammed Elsafy, Mahbubjon Rahmatov, Eva Johansson, Tilal Abdelhalim

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Optimal Planning of Wind-Based DG: A Two-Stage Approach Linking Penetration Factor, Turbine Type Selection, Capacity, and Power Factors to Minimize Line Losses by Sina Saboktakin, Tarek Medalel Masaud, Ehab F. El-Saadany

“…By aligning turbine type selection with the available wind resources at the site, the model maximizes energy production and operational efficiency. …”
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