Humidity Sensing Using Polymers: A Critical Review of Current Technologies and Emerging Trends by Jintian Qian, Ruiqin Tan, Mingxia Feng, Wenfeng Shen, Dawu Lv, Weijie Song

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Enhanced Camera Relocalization Through Optimized Accelerated Coordinate Encoding Network and Pose Solver by Xinbo Chai, Zhen Yang, Xinrong Tan, Mengyang Zhu, Changbin Zhong, Jianping Shi

“…Building upon the ACE network, we proposed a refined head structure that integrates skip and dense connections alongside channel attention mechanisms. Additionally, we introduced modifications to the loss function and pose solver, leveraging SQPnP and iterative optimization. …”
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Improved YOLOv8n Method for the High-Precision Detection of Cotton Diseases and Pests by Jiakuan Huang, Wei Huang

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Direct Air Capture Using Pyrolysis and Gasification Chars: Key Findings and Future Research Needs by Wojciech Jerzak, Bin Li, Dennys Correia da Silva, Glauber Cruz

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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…ObjectiveStructural parameter identification based on swarm intelligent optimization methods has become one of the popular methods for finite element model modification. The swarm intelligent optimization methods transform a complex problem of structural parameter identification into a constrained optimization problem. …”
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SECURING INFORMATION CONFIDENTIALITY: A MATHEMATICAL APPROACH TO DETECTING CHEATING IN ASMUTH-BLOOM SECRET SHARING by Azhar Janjang Darmawan, Sugi Guritman, Jaharuddin Jaharuddin

“…This robustness is achieved through the mathematical structure of the CRT, which enables the detection of inconsistencies during the secret reconstruction process. In addition to maintaining the efficiency of the original Asmuth-Bloom scheme, these modifications enhance the reliability of the scheme in protecting sensitive data. …”
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SURFER v3.0: a fast model with ice sheet tipping points and carbon cycle feedbacks for short- and long-term climate scenarios by V. Couplet, M. Martínez Montero, M. Crucifix

“…<p>Simple climate models that are computationally inexpensive, transparent, and easy to modify are useful for assessing climate policies in the presence of uncertainties. …”
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Anomaly Sign Detection for Automatic Ticket Gates by the Histogram Limitation Method by Ken Ueno, Shigeru Maya, Kiyoku Endo

“…To detect anomalies at an early stage, “anomaly signs” can be utilized to flag ATGs for maintenance by service engineers before anomalies occur. In addition, to minimize the cost of ATG monitoring, the necessary computing resources should be minimized, which means using only light-weight statistical methods rather than deep learning or machine learning. …”
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Tuning the photovoltaic potential of thiazole based materials via incorporation of selenophene and electron acceptors rings at peripheral positions: A DFT approach by Muhammad Khalid, Sadia Jamal, Ataualpa Albert Carmo Braga, Muhammad Haroon, Rajeh Alotaibi, Ke Chen

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MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model by Zixu Wang, Yangyang Chen, Yifan Shang, Xiulong Yang, Wenqiong Pan, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng

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SUITABLE METHODOLOGY FOR THE DESIGN OF CIRCULAR REINFORCED CONCRETE SILOS by Hawra Mohamed Ali M. Taher

“…The silos made from cement have relatively higher uniform compressive forces as compared to those made from the storage of wheat, which increase the need for additional vertical reinforcements to avoid buckling. …”
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The motor neuron m6A repertoire governs neuronal homeostasis and FTO inhibition mitigates ALS symptom manifestation by Ya-Ping Yen, Ting-Hsiang Lung, Ee Shan Liau, Chuan-Che Wu, Guan-Lin Huang, Fang-Yu Hsu, Mien Chang, Zheng-Dao Yang, Chia-Yi Huang, Zhong Zheng, Wei Zhao, Jui-Hung Hung, Chuan He, Qing Nie, Jun-An Chen

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FldtMatch: Improving Unbalanced Data Classification via Deep Semi-Supervised Learning with Self-Adaptive Dynamic Threshold by Xin Wu, Jingjing Xu, Kuan Li, Jianping Yin, Jian Xiong

“…This approach differs from previous methods because it uses effective pseudo-labels and ground truth, collectively influencing the model’s capacity to acquire category knowledge. In addition, based on CEL, we propose a simple but effective way to compute the threshold, Self-adaptive Dynamic Threshold (SDT). …”
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Bioinformatic Analysis of WNT Family Proteins by Konstantin Midlovets, Natalia Volkova, Mykyta Peka

“…The regulatory activity of WNT proteins is closely linked to their unique structural organization, the presence of N-terminal signal peptides, and posttranslational modifications. In this study, in silico methods were used to analyze the structural features of WNT proteins. …”
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REFLECTIONS ON M-POLYNOMIAL AND RELATED TOPOLOGICAL INDICES OF NANOSTAR DENDRIMERS by Shehnaz Akhter, Zahid Raza

“…It includes supplying corrected figures that accurately portray the nanostar dendrimer structures and removing the inconsistencies in the previous images. In addition, we will use revised notations to ensure that all parameters used in computations are explicitly and consistently described to eliminate ambiguities. …”
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Nonlinear relationship between lumbar bone mineral density and high-density lipoprotein cholesterol in patients with type 2 diabetes by Yu-Hua He, Shi-Li Gu, Yang-Yang Chen, Ming-Mei Xue, Su-Juan Liu, Fang-Fang Guo, Chang-Hua Liang

“…Statistical analyses employed comprehensive methods: univariate analysis to examine initial variable relationships, generalized additive models for non-linear curve fitting, segmented regression for threshold effects, stratified subgroup analysis to explore potential effect modifications, and mediation analysis to explore potential indirect effect mechanisms.ResultsThis work revealed that after controlling confounding factors, an independent nonlinear correlation was observed between lumbar BMD and serum HDL-C in T2DM patients. …”
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Teaching Data Analysis and Machine Learning at University: Generalization of Experience and Perspectives by Victoria Dorofeeva, Sergey Stroev, Dmitrii Dorofeev

“…Turgenev" in data analysis and machine learning technologies, which was obtained over the past four years as part of training in basic and additional educational programs. The purpose of the research is to generalize the experience gained and find solutions to overcome difficulties associated with the development and modification of disciplines aimed at studying data analysis and machine learning technologies. …”
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Predicting the Onset Date of Cucumber Powdery Mildew Based on Growing Degree Days and Leaf Wetness Duration in Greenhouse Environment by Min Son, Haejun Jeong, Jin-Yong Jung, Jiwon Park, Jiyoon Park, Hoyoung Park, Jonghan Yoon, Se-Hoon Jung, Chun-Bo Sim, Kwang-Hyung Kim, Sook-Young Park

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Protein palmitoylation is involved in regulating mouse sperm motility via the signals of calcium, protein tyrosine phosphorylation and reactive oxygen species by Yuping Xiong, Chenchen Yi, Haixia Zheng, Ya Ni, Yamei Xue, Kun Li

“…Sperm motility and motion parameters were evaluated using a computer-assisted sperm analyzer (CASA) after treatment with 2-bromopalmitic acid (2BP), a specific inhibitor of protein palmitoylation. …”
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Effect of modified materials on the hydraulic conductivity of loess soil by Lina Guo, Yongbo Zhang, Hong Shi, Qing Duan, Shuyuan Xu, Wenjing Qin, Zhixia Duan

“…The research provides a fundamental base for the development of loess foundation modification technology and possesses important implications for utilizing loess resources synthetically in accordance with local conditions.…”
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