The Analysis and Prioritization of Social Sustainability of Rural Environments (Case Study: Ghal’eh Biaban District Darab Sub-Province) by Saeid Reza Akbarian Ronizi, Rana Shaykh-Baygloo

“…In the meantime, the notable matter is achieving social sustainability in the villages requiring assessment of sustainability rate and related affecting factors, in any society; this can guide planners and decision makers. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Assessment of the experimental infection by Echinostoma paraensei (Lie & Basch, 1967) (Trematoda: Echinostomatidae) in two Biomphalaria tenagophila (D’Orbigny, 1835) (Gastropoda: P... by Michele Maria Santos, Juberlan Silva Garcia, Raquel de Oliveira Simões, Samaly dos Santos Souza, Paulo Marcos Zech Coelho, Zilton de Araújo Andrade, Arnaldo Maldonado Júnior

“…A correlation between the number of miracidia and the infectivity rate of B. tenagophila (TAIM) was observed. There was no correlation between the number of miracidia used and the number of cercariae released for both B. tenagophila isolates. …”
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Global psychiatrists' opinions about hikikomori from biopsychosocial perspectives: International case vignette survey by Marcus P. J. Tan, Kohei Hayakawa, Yukako Nakagami, Victor Pereira‐Sanchez, Seon Cheol Park, Yong Chon Park, Seok Woo Moon, Tae Young Choi, Yu‐Tao Xiang, Kang Sim, Toru Horinouchi, Ajit Avasthi, Sandeep Grover, Roy Abraham Kallivayalil, Yugesh Rai, Mohammadreza Shalbafan, Pavita Chongsuksiri, Pichet Udomratn, Samudra T. Kathriarachchi, Afzal Javed, Mian‐Yoon Chong, Tan Chay‐Hoon, Toshiya Inada, Toshiya Murai, Tomohiro Nakao, Shigenobu Kanba, Shih‐Ku Lin, Norman Sartorius, Naotaka Shinfuku, Takahiro A. Kato

“…Most respondents felt the case could be treated by an outpatient visit, while others preferred hospitalization. Psychotherapy was rated highly as an intervention; Iran, South Korea, and “others” also rated pharmacotherapy highly. …”
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Endoscopic assessment of the J pouch in ulcerative colitis: A narrative review by Shintaro Akiyama, Edward L Barnes, Tsubasa Onoda, Naoki Ishikawa, Mamiko Shiroyama, Yuka Ito, David T Rubin, Kiichiro Tsuchiya

“…Up to 50% of patients with ulcerative colitis postoperatively develop pouchitis and the rate of chronic inflammatory pouch conditions requiring pouch excision or diverting ileostomy is reported to be 10%. …”
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Development of a Mobile-Based Application for Classifying Caladium Plants Using the CNN Algorithm by Rudy Chandra, Tegar Arifin Prasetyo, Heni Ernita Lumbangaol, Veny Siahaan, Johan Immanuel Sianipar

“…The best model is found with the parameter epoch 100, learning rate 0.001, and batch size 64. The model is then implemented in a mobile application with two menus, "Take a photo" and "Choose an image," which will display the classification output and confidence values of the four types of Caladiums. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Mitigating side channel attacks on FPGA through deep learning and dynamic partial reconfiguration by Sesibhushana Rao Bommana, Sreehari Veeramachaneni, Syed Ershad, MB Srinivas

“…Abstract This paper introduces a framework that combines Deep Learning (DL) models and Dynamic Partial Reconfiguration (DPR) in Field Programmable Gate Arrays (FPGA) to mitigate Side Channel Attacks (SCA). …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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Endovascular Management of Arterial Injuries Related to Venous Access: A Retrospective Review of 10‑Year Single-Center Experience by Mohammad Arabi, Abdullah Almutairi, Abdulaziz Abdullah Alangari, Mohammad Mari Alamri, Abdulaziz Alharbi, Abdulrahman Alvi, Qazi Shahbaz, Yousof Alzahrani, Omar Bashir, Azzam Khankan, Essam Dulaigan, Refaat Salman, Mohammad Almoaiqel

“…Purpose: Retrospective review of the pattern and management techniques of arterial injuries related to central venous access with long-term outcomes. …”
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Numerical simulation of crack propagation and AE precursor characteristics in coal failure under confining pressures by Gang Jing, Shuai Wang, Leilei Zhao, Fa Dong, Yi Fan

“…The results demonstrate that peak strength increases with loading rate, particularly under low confining pressures, while higher pressures dampen this sensitivity. …”
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Performance Optimization and Field Validation of Post-Grouting Geopolymer Materials for Pile Foundations: Microstructural Insights and Environmental Durability by Chongchong He, Zhen Xu, Jing Wang, Pan Li, Yangyang Xia, Chao Zhang, Zhenpeng Chen, Wei He

“…The fluidity, setting time, bleeding rate, and mechanical properties of these materials were evaluated to determine the optimal mix proportions for pile foundation grouting. …”
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Revealing the effect of layer-varying deposition strategy on laser-directed energy deposition bionic gradient NiTi alloy by Zhongxiong Kang, Chaorui Jiang, Mengqi Liu, Zhihui Zhang, Jie Zhao

“…The strategy includes different process parameters (the laser power and scanning speed), the scanning paths (alternative optimised spiral pattern, x-axis rotation pattern, and arc alternative pattern) and interlayer interval time. …”
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Multi-Objective Optimization of Off-Grid E-Bikes Charging Stations Powered by PhotoVoltaics by Fabio Corti, Gabriele Maria Lozito, Davide Astolfi, Salvatore Dello Iacono, Antony Vasile, Marco Pasetti, Alberto Reatti, Alessandra Flammini

“…A Genetic Algorithm is employed to determine the most appropriate rated power of the installed PhotoVoltaic (PV) systems and of the energy storage, by incorporating statistical methods to estimate the daily number of e-bikes requiring charging, hence making the optimization process more reflective of actual usage patterns. …”
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Evolution Characteristics of Urban Heat Island Circulation for Loess Tableland Valley Towns by Zhuolei Yu, Yi Wang, Jukun Wang, Xiaoxue Wang, Songheng Wu

“…In order to further reveal the characteristics of city-scale closed circulation, the sensitivities of different factors influencing the start time, outflow time, mixing height and heat island intensity are analyzed, and the most significant factors influencing these four parameters are urban heat flux, slope height, slope height, and potential temperature lapse rate, respectively. Finally, the dimensionless mixing height and heat island intensity for the valley town increase by 56.80% and 128.68%, respectively, compared to those for the flat city. …”
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Construction of Hierarchical 2D-3D@3D Zn₃In₂S₆@CdS Photocatalyst for Boosting Degradation of an Azo Dye by Andreas Katsamitros, Nikolaos Karamoschos, Labrini Sygellou, Konstantinos S. Andrikopoulos, Dimitrios Tasis

“…Under visible light irradiation, the Zn₃In₂S₆-enriched heterostructures demonstrated an enhanced azo-dye degradation rate, with the majority of the organic analyte (Orange G) being degraded within 60 min. …”
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A Self‐Organizing Map Spiking Neural Network Based on Tin Oxide Memristive Synapses and Neurons by Yu Wang, Yanzhong Zhang, Yanji Wang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong

“…Applying this architecture to an unsupervised learning self‐organizing map memristor SNN achieved an impressive 94% recognition rate on the MNIST dataset. This study elucidates the potential for seamlessly integrating memristors into neuromorphic systems.…”
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