The positive influence of Tibetan Buddhist monasteries on forest conservation by Shidong Zhang, Tong Wu, Luo Guo

“…This study examines the vital role that Tibetan Buddhist monasteries play in forest conservation on the QTP. We utilize data sources including extensive field surveys and geospatial data to assess the impact of monastery and village locations on forest conditions. …”
Get full text

Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…To address the challenges posed by big data or the restrictions of privacy, we propose a method utilizing Poisson subsampling to devise a new loss function. …”
Get full text

Immune inflammatory regulation in Anti-NMDAR encephalitis: insights from transcriptome analysis by Shan Qiao, Shan Qiao, Jia Wang, Shan-chao Zhang, Ai-hua Wang, Hai-yun Li, Tao Xin, Tao Xin

Get full text

Anti-corrosive efficiency of salvadora persica plant stick powder on SS 316L orthodontic wire in artificial saliva by H.Mohamed Kasim Sheit, K.S. Mohan, P. Srinivasan, S.Esakki Muthu, A. Dinesh, B. Rajeswari, L. Srimathi Priya, Lalitha Gnanasekaran, Munawar Iqbal

Get full text

Influencing Factors on the Sports Business: United Nations Sustainable Development Goals Approach through Championship Sports by Makki Mohmmed Safi, Rasool Nazari, Hassanin Abdul Wahed Abbas, Khosro Jalai Dehkordi

“…Advanced measures include emulating prosperous countries, providing sustainable financial, economic, and business resources, environmental solutions, and creating a professional labor market. …”
Get full text

Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater by Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan

“…The automation of sulphate-rich wastewater industry through GA identified solutions might be leveraged for efficient operation in terms of saving time and resources.…”
Get full text

Carbon-carbon triple bond cleavage and reconstitution to achieve aryl amidation using nitrous acid esters by Zi-Ying Wang, Shoujun Wang, Nan-Nan Dai, Yao Xiao, Yu Zhou, Wen-Chan Tian, Dongru Sun, Qiang Li, Yong Wang, Wen-Ting Wei

“…Nitrous acid ester serves as both a radical source and a hydrogen atom transfer (HAT) reagent to functionalize and utilize the two carbon atoms of the C–C triple bond. …”
Get full text

Dynamic Tuning and Multi-Task Learning-Based Model for Multimodal Sentiment Analysis by Yi Liang, Turdi Tohti, Wenpeng Hu, Bo Kong, Dongfang Han, Tianwei Yan, Askar Hamdulla

“…Multimodal sentiment analysis aims to uncover human affective states by integrating data from multiple sensory sources. However, previous studies have focused on optimizing model architecture, neglecting the impact of objective function settings on model performance. …”
Get full text

Synchronizing livestock metabolism with feeding schedules: Advancing sustainable animal husbandry practices by Moyosore Joseph Adegbeye, Yeni Widiawati, Babatunde Oluwafemi Adetuyi, Tatan Kostaman, Eko Handiwirawan, Adeola Ojugbele, Mona M.M.Y. Elghandour, Maximilian Lackner, Ravikanth Reddy Poonooru, Abdelfattah Z.M. Salem

“…Circadian rhythms, orchestrated by the master clock in the suprachiasmatic nucleus (SCN) and peripheral clocks in metabolic tissues, regulate diverse physiological processes in livestock, including metabolism, nutrient absorption, and energy utilization. These biological rhythms align internal functions with external factors. …”
Get full text

Oncology Clinicians' Perspectives of a Remote Patient Monitoring Program: Multi-Modal Case Study Approach by Ann Marie Mazzella-Ebstein, Robert Daly, Jennie Huang, Camila Bernal, Clare Wilhelm, Katherine S Panageas, Jessie Holland, Rori Salvaggio, Jill Ackerman, Jennifer Cracchiolo, Gilad Kuperman, Jun Mao, Aaron Begue, Margaret Barton-Burke

“…Improvements to address RPM challenges include functional changes to enhance the program’s utility, such as input from patients about temporal changes in their symptoms and technical resources for home monitoring devices.…”
Get full text

Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning by Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo, Jen-Chieh Liao

“…This model supports proactive planning for institutional or RCW resources, addressing a critical yet often overlooked aspect of TBI care.…”
Get full text

GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

“…Therefore, while employing GT-NMR or other graph-based methods for the rapid and routine prediction of NMR chemical shifts, it is advisable to utilize nSPS to assess their suitability. The source codes and trained model of GT-NMR are publicly available at GitHub. …”
Get full text

Hematopoietic stem cell discovery: unveiling the historical and future perspective of colony-forming units assay by Nur Afizah Yusoff, Zariyantey Abd Hamid, Siti Balkis Budin, Izatus Shima Taib

“…Since then, HSCs have been studied and utilized in medical therapies and research for over several decades. …”
Get full text

Promoting emotional & behavioral health for pediatric patients with Fontan circulation: integrating psychology into a dedicated multidisciplinary clinic by Nicholas P. Seivert, Nicholas P. Seivert, Kathryn M. Dodds, Kathryn M. Dodds, Abigail Demianczyk, David J. Goldberg, David J. Goldberg, Jack Rychik, Jack Rychik

“…Fully integrated care models that include including behavioral screening measures are optimal to address emotional/behavioral challenges in this population. Less resource intensive models could be implemented as pilot programs to establish feasibility and utility. …”
Get full text

How Massive Star Clusters Form and Evolve: A Near-IR Survey of the W51 Complex by Aden Dawson, Adam Ginsburg, Carlos G. Román-Zúñiga

“…Our observations reveal over 3000 new sources, out of which 88 are located in the protoclusters, W51 IRS2 and W51 Main. …”
Get full text

CHINESE YUAN EXCHANGE RATE AGAINST THE INDONESIAN RUPIAH PREDICTION USING SUPPORT VECTOR REGRESSION by Steven Soewignjo, Ni Wayan Widya Septia Sari, Andini Putri Mediani, M. Aqil Zaidan Kamil, Dita Amelia, Nur Chamidah

“…This study aims to forecast the exchange rate between the Chinese Yuan (CNY) and the Indonesian Rupiah (IDR) using Support Vector Regression (SVR), a machine-learning technique that can handle nonlinear and complex data. The authors utilize the monthly selling exchange rate of CNY against IDR from January 2012 to October 2023 sourced from the “investing” platform. …”
Get full text

Computational Phenotyping of Obstructive Airway Diseases: A Systematic Review by Bashir MBA, Milani GP, De Cosmi V, Mazzocchi A, Zhang G, Basna R, Hedman L, Lindberg A, Ekerljung L, Axelsson M, Vanfleteren LEGW, Rönmark E, Backman H, Kankaanranta H, Nwaru BI

“…COPD phenotypes involved lung function, emphysematous changes, smoking, comorbidities, and daily life impairment. …”
Get full text

Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…We utilized multiepoch archival data from the Wide-field Infrared Survey Explorer to compare the variability at 3.4 μ m (W1 band) and 4.6 μ m (W2 band) of broad-line Seyfert 1 (BLSy1) galaxies and narrow-line Seyfert 1 (NLSy1) galaxies by employing the ensemble structure function (SF). …”
Get full text

A scoping review of the roles, challenges, and strategies for enhancing the performance of community health workers in the response against COVID-19 in low- and middle-income count... by Joseph Mumba Zulu, Adam Silumbwe, Margarate Munakampe, Malizgani Paul Chavula, Chama Mulubwa, Nathanael Sirili, Wanga Zulu, Charles Michelo, Moses Tetui

“…Although LMICs instituted several measures to mitigate spread of the virus in low resource settings, including task shifting certain demand and supply functions to community actors such as community health workers (CHWs), there remains a lack of synthesized evidence on these experiences and lessons. …”
Get full text

Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…Firstly, the article utilized a score management system and intelligent cameras to collect multimodal learning data; then, the original signal was decomposed into detail layers and approximation layers of different frequencies using wavelet transform, and high-frequency detail layers were processed for denoising through threshold functions; afterwards, in order to reduce the network size and parameters, attention mechanism was applied to screen the input features of the neural network; using students, teachers, and learning resources as network nodes, the connections between nodes were analyzed and a complex network topology structure was constructed; then, attention mechanism was used to fuse multimodal data, assigning different weights to each modality, integrating educational information, and highlighting key information in the prediction task. …”
Get full text