Melatonin regulated through GhTDC5 enhances tryptophan decarboxylase against drought stress in cotton by Xin Yu, Xiugui Chen, Ning Wang, Maohua Dai, Zhining Yang, Yapeng Fan, Yuping Sun, Xinrui Zhang, Ruize Song, Menghao Zhang, Hao Lan, Fange Wu, Hui Huang, Xiao Chen, Lidong Wang, Xuke Lu, Shuai Wang, Lixue Guo, Junjuan Wang, Lanjie Zhao, Keyun Feng, Jing Jiang, Wuwei Ye

“…Abstract Tryptophan decarboxylase (TDC) is the rate-limiting enzyme in the biosynthesis of melatonin and plays a crucial role in melatonin production in plants. …”
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A multicellular self-organized probiotic platform for oral delivery enhances intestinal colonization by Hua Liu, Zhijie Chen, Qiaowen Lin, Yi Chen, Liwen Hong, Jie Zhong, Zhengwei Cai, Zhengting Wang, Wenguo Cui

“…In vivo, the EMS strategy exhibits 89- and 52-fold higher colonization rate in the cecum and colon of mice, compared to conventional oral probiotics. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. Experimental results confirm the method’s effectiveness, with a marked increase in prediction accuracy compared to traditional methods, validating federated learning’s advantage. …”
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Influence of Host Species, Location, and Aphid Prey on Microbial Diversity and Community Dynamics of Aphidophagous Ladybird Beetles in Guangxi, China by Mei‐Lan Chen, Yu‐Hao Huang, Li‐Qun Cai, Xiang‐Miao Qin, Xin‐Yi Meng, Hao‐Sen Li, Hong Pang

“…Our findings provide insights into the microbial communities of ladybirds and aphids in sympatric and distinct field environments, highlighting the plasticity of microbial abundance in aphidophagous ladybirds across different ladybird species and locations, as well as the low retention rate of specific aphid symbionts in ladybird predators.…”
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Performance Assessment of Maximum Likelihood, Random Forest and Support Vector Machines Classifier for Urban Land Use Classification: A Case Study of Dhaka Metropolitan City, Bangl... by Ha-mim Ebne Alam, Md. Nizam Uddin, Kazi Tawkir Ahmed, Md. Jahidul Hasan, Md. Yeasir Arafat, Md. Enamul Hoque

“…The classification was conducted by using three methods where the Support vector machines classification (SVMC) produced the best accuracy results of 83.2% overall accuracy and overall kappa coefficient value of 0.74 than both random forest classification (RFC) and maximum likelihood classification (MLC) methods with 86.34% and 83% spatial similarity rate respectively. Besides, RFC and MLC are roughly equivalent in kappa and overall accuracy values, though MLC revealed less capability at classifying vegetation. …”
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Theoretical Examination of the Volume Concentration and Nanoparticles Density Influence on the Convective Heat Transfer Enhancement of Nanofluid in 2D Cavity Including the Square H... by Oulahou Y., Elguennouni Y., Hssikou M., Baliti J., Alaoui M.

“…Depending on the nanoparticle volume percentage , the Grashof number , and the hot obstacle have a significant impact on the convection flow and rate of heat transfer. The most important result is the enhancement of heat transfer with the increasing of volume fraction for a particular Grashof number, also it improves with the rising of Grashof number for a particular nanoparticles volume fraction. …”
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Nonlinearity Mitigation Based on Modulus Pruned Look-Up Table for Multi-Bit Delta-Sigma 32-CAP Modulation in Underwater Visible Light Communication System by Wenqing Niu, Hui Chen, Junwen Zhang, Yinaer Ha, Peng Zou, Nan Chi

“…At the data rate of about 1.69Gbp/s, utilizing MP-WLUT pre-distorted DSM-CAP an improvement of 1.44 dB Q-factor is realized compared with normal CAP without WLUT, and the size of MP-WLUT can be reduced to 62.5% of the full-size WLUT.…”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…The proposed approach achieved an accuracy of 99.89% and a recall rate of 99.87%, demonstrating its suitability for crop classification with minimal computational overhead. …”
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Investigation of the prevalence of polycystic ovary syndrome in Hamedan province in 2021 by Fatemeh Asadi, Zahra Mahdavi Fakher, Motahareh Masoomi, Salman Khazaie

“…Menstrual irregularity, infertility rate, mean serum testosterone level, the prevalence of hyperlipidemia, mean LDL, and total serum cholesterol were significantly higher in the PCOS group (P<0.05). …”
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Urban Growth Dynamics in the New Capital of North Maluku: A Spatiotemporal Perspective on Land Cover Transformation in Sofifi by M. Fadel Aginda, Hayati Sari Hasibuan, Rudy Parluhutan Tambunan, Muhammad Attorik Falensky, Satrio Rifqi Wicaksono

“…To ensure the sustainability of urban growth dynamics in Sofifi, this study aims (1) identify and analyze the spatiotemporal dynamics of land cover transformation from 1995 to 2020 in Sofifi and (2) analyze the growth pattern of urban expansion in Sofifi. This study employed multitemporal Landsat imageries within the 1995 to 2020 period with supervised classification using the CaRT classifier in Google Earth Engine and the NDBI maps to calculate the urban expansion rate and intensity index. …”
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Experimental investigation and modeling of heat and moisture transfer beneath asphalt pavements under rainfall conditions by Weihang Hua, Long Jin, Miaomiao Bai, Huimei Zhang

“…Sensitivity analysis identified the surface wetting rate coefficient (β) and evaporation attenuation coefficient (γ) as dominant factors (F > 6.0). …”
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Compound Action Potential of Isolated Spinal Cord: A Biophysical Analysis to Address Activity of Individual Fibers Following Contusion Injury by I. Rad, K. Khodayari, S. Kouhzaei, H. Mobasheri

“…Compound action potential (CAP) of spinal cord represents valuable properties of neural fibers including excitability, rate of myelination and membrane integrity. These properties are measured using amplitude, latency and area under curve of CAPs recorded from spinal cord. …”
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Population Analysis of Bali Sardinella (Sardinella lemuru, Bleeker 1853) Landed in PPI Kedonganan using Length-Weight Data and Digital Analysis (ImageJ) by Ni Putu Dian Pertiwi, Ida Ayu Purnama Bestari, M. Danie Al Malik, Mark Anthony Phuong

“…Population condition analysis showed that S. lemuru population is in isometric condition (b=3); with indication of declining in the length growth pattern compared with previous research (L∞= 20.75 cm with K= 1.1); the mortality estimation showed that fishing mortality (F=1.27) was lower than natural mortality (M=2.22), with the survival rate higher on smaller size fish. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…The xLSTM model incorporates two key innovations: exponential gating with memory mixing and a novel matrix memory structure. …”
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Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU by Yerik Afrianto Singgalen

“…This study explores applying Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for sentiment analysis and trend mapping of hotel reviews, specifically focusing on customer feedback from Hotel Vila Ombak in Lombok, Indonesia. …”
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Phase Wise Classification of Abnormal Gait in Children With Cerebral Palsy Using Hybrid Neural TEMPODE Deep Learning Techniques by Yelle Kavya, S.Sofana Reka

“…The neurological condition known as Cerebral Palsy which affects motor control, frequently results in abnormal gait patterns that have a major negative influence on mobility and quality of life. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…Second, we introduce a GatedConv module to improve the network’s capability for building edge detection. …”
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GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis by Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai

“…Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. …”
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