Spatiotemporal change of green watershed development level of the Yangtze River Economic Belt from the perspective of human-water relationship by FANG Tingting, WANG Lei, DUAN Xuejun, ZOU Hui, WANG Yazhu

“…Additionally, it identified shortcoming areas in green watershed development based on the main functional zones. [Results] (1) From 2010 to 2020, the overall green watershed development improved. …”
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Preclinical Study of Pharmacokinetic/Pharmacodynamic Analysis of Tebipenem Using Monte Carlo Simulation for Extended-Spectrum β-Lactamase-Producing Bacterial Urinary Tract Infectio... by Fumiya Ebihara, Takumi Maruyama, Hidefumi Kasai, Mitsuru Shiokawa, Nobuaki Matsunaga, Yukihiro Hamada

“…Conclusions: This first Japanese PK/PD analysis of TBPM in ESBL-producing UTIs provides evidence-based dosing recommendations across various renal function levels. TBPM, with appropriate renal-adjusted dosing, may offer an effective oral treatment option for patients who have traditionally required hospitalization for parenteral therapy.…”
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Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards by Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles

“…This approach encourages smoother and more coherent input feature maps across different segments of the yield value range by leveraging similarities within and across yield bins, ultimately improving the model’s ability to generalize and distinguish between subtle variations in yield. …”
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Influence of WWOX/MAF genes on cognitive performance in patients with Parkinson's disease by Yun-Ting Yuan, Wei-Pin Hong, Chun-Hsiang Tan, Rwei-Ling Yu

“…Results: The WWOX gene was found to influence verbal fluency performance across the entire cohort. Additionally, PD significantly moderated the effect of genetic variants on attention (p = 0.000040), non-verbal memory (p = 0.000007), and visuospatial function (p = 0.000303), suggesting a distinct impact within this group. …”
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Genome-wide identification and expression pattern analysis of auxin response factor (ARF) genes in Chionanthus retusus and functional characterization of CrARF37 in terms of its ef... by Jinnan Wang, Liyang Guo, Ying Li, Yuzhu Wu, Mengmeng Wang, Shicong Zhao, Xu Xu, Jihong Li

“…Result In this study, we utilized the latest reference genome to conduct a comprehensive identification and analysis of the ARF gene in C. retusus (2n = 2x = 46), and examined its expression patterns in individuals with varying flower morphologies and generated transgenic Arabidopsis overexpressing CrARF37 and analyzed its function in flower morphogenesis. We identified 49 ARF genes in C. retusus, which can be categorized into four subfamilies and are distributed across 18 chromosomes. …”
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Effects of short-chain fatty acid-producing probiotic metabolites on symptom relief and intestinal barrier function in patients with irritable bowel syndrome: a double-blind, rando... by Erfeng Li, Jie Wang, Bin Guo, Wenbin Zhang

“…BackgroundIBS often appears as bloating, altered bowel patterns, and abdominal pain (AP).Probiotics and SCFA may be useful in mucosal repair and symptom relief, according to earlier research, however there is currently a lack of systematic evidence supporting their therapeutic effectiveness across a variety of IBS subtypes.ObjectiveTo investigate the impacts of probiotics on signs and intestinal barrier function (IBF) in individuals with multiple IBS subtypes, and evaluate the role of SCFA in this process.MethodsA double-blind randomized controlled trial (DBRCT) design was adopted. …”
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A weighted difference loss approach for enhancing multi-label classification by Qiong Hu, Masrah Azrifah Azmi Murad, Azreen Bin Azman, Nurul Amelina Nasharuddin

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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

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The Use of <i>I Think</i> as Different Types of Markers in English Conversations by Zhaoyi Pan

“…The Thai intermediate-level EFL participants mainly used the SM <i>I think</i> to express a subjective evaluative stance, while the Thai advanced-level EFL participants used <i>I think</i> across a broader range of markers and functions. Their inappropriate uses of <i>I think</i> are also discussed.…”
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Study on the distribution characteristics of α-Solanine in different parts of Solanum nigrum based on infrared spectroscopy by Yan Liu, Jiankang Zhao, Minzhen Si

“…This study employs Fourier Transform Infrared Spectroscopy (FTIR) to quantitatively analyze the distribution patterns and metabolic roles of α-solanine across different organs (roots, stems, leaves, flowers, and fruits) of Solanum nigrum. …”
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Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF by Alireza Shafiei, Mehrnaz Monajati

“…In addressing this, Physical Unclonable Functions (PUFs) have emerged as a promising, lightweight solution to enhance the security of Internet of Things (IoT) devices. …”
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Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss by Tanapat Ratchatorn, Masayuki Tanaka

“…Together, this combination of the AACE loss function and label smoothing technique leads to further improvement in model performance. …”
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Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data by Mohammed M. A. Almazah, Mohammed A. Alshahrani, Qasim Ramzan, Irfan Ali Raza, Muhammad Tahir, Zahoor Ahmad

“…We compare Maximum Likelihood Estimators (MLE) and Bayesian estimators, utilizing gamma priors due to their suitability for capturing the positive, skewed nature of failure rate parameters, and evaluate these across balanced and unbalanced loss functions, such as Square Error, General Entropy, and Linear Exponential. …”
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Design of Eye Models for Quantitative Analysis of Interactions Between Ocular Aberrations and Intraocular Scattering by Feng Rao, Lin Zhang, Xinheng Zhao, Jing Li, Jie Hou, Yan Wang

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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

“…The innovative dynamic loss function integrates a tempering index mechanism with tuneable parameters (α and γ), which assigns higher weights to underrepresented classes and down-weights easily classified samples. …”
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Analysis on gut microbiota diversity of wild Asian elephants (Elephas maximus) from three regions of Yunnan Province by Zeya Yang, Yixuan Wang, Yuhan Wang, Jiuxuan Zhou, Ruimei Wang, Mingfei Shi, Mingwei Bao, Binghui Wang, Ruiling Yuan

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MAS-YOLOv11: An Improved Underwater Object Detection Algorithm Based on YOLOv11 by Yang Luo, Aiping Wu, Qingqing Fu

“…Third, we introduce a Slide Loss function with dynamic sample weighting to enhance hard sample learning. …”
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Multispectral Land Surface Reflectance Reconstruction Based on Non-Negative Matrix Factorization: Bridging Spectral Resolution Gaps for GRASP TROPOMI BRDF Product in Visible by Weizhen Hou, Xiong Liu, Jun Wang, Cheng Chen, Xiaoguang Xu

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Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

“…Anomaly detection in oil and gas pipelines based on acoustic signals currently faces challenges, including limited anomalous samples, varying audio data distributions across different operating conditions, and interference from background noise. …”
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A Mean Weighted Squared Error-based Neural Classifier for Intelligent Pattern Recognition in Smart Grids by Mehdi Khashei, Mehrnaz Ahmadi, Fatemeh Chahkoutahi

“…Supervised learning is widely used in pattern recognition and classification due to its strong ability to enhance data accuracy. Loss functions have proven to be a critical factor in enhancing the predictive accuracy of intelligent classifiers with diverse architectures and characteristics. …”
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