CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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Geospatial analysis of cholera outbreak in Lusaka, Zambia, between 2023 and 2024 by William Ngosa, Tadatsugu Imamura, Nyuma Mbewe, Joseph Seriki, Oscar Nzila, Fred Mfune, Godfrey Zulu, Chomba Mulando, Tizha Chiluba, Luo Miyanda, Agness Phiri, Lucy Sichone, Galion Mwape, Kapambwe Mulenga, Charles Chileshe, Nawa Mabuku, Dabwiso Banda, Fangyu Yan, Taro Kamigaki, Roma Chilengi, Nyambe Sinyange

“…Results Over the study period, 4,591 suspected cholera cases with geocoordinate data were identified, with incidence rates varying across the constituencies. Median cholera incidence (IQR) was 0.55 (0.27–1.44) in Lusaka, with higher incidence rates observed in unplanned residential areas. …”
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Molecular and genomic investigation of an urban outbreak of dengue virus serotype 2 in Angola, 2017-2019. by Zoraima Neto, Pedro A Martinez, Sarah C Hill, Domingos Jandondo, Julien Thézé, Marinela Mirandela, Renato Santana Aguiar, Joilson Xavier, Cruz Dos Santos Sebastião, Ana Luísa Micolo Cândido, Filipa Vaz, Gisel Reyes Castro, Joana Paula Paixão, Nicholas J Loman, Philippe Lemey, Oliver G Pybus, Jocelyne Vasconcelos, Nuno Rodrigues Faria, Joana de Morais

“…<h4>Background</h4>The transmission patterns and genetic diversity of dengue virus (DENV) circulating in Africa remain poorly understood. …”
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Dynamic parking space allocation at urban scale: Problem formulation and resolution by Hanae Errousso, Jihane El Ouadi, El Arbi Abdellaoui Alaoui, Siham Benhadou

“…To do this, we consider both solicitation rates in these areas and coverage ratios of received parking demands. …”
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The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study by Yanzhen Huang, Yu Wu, Shaodan Zhou, Xianting Que, Ailing Jiang, Danli Shi, Ting Lu, Yanlan Chen, Ziqun Lin, Chao Liu, Yishuang Wen, Shuyi Zhang, Wen Huang

“…After COVID-19 outbreak, there was an increase in new-onset MG patients, with more cases occurring within the first three months. The rates of pulmonary inflammation (40.28%), COVID-19 vaccination (88.14%), and treatment with tacrolimus (15.98%) and MG duration (15 weeks, IQR: 5.75, 32) were higher, while rates of thymectomy (13.92%), baseline MG-ADL (3, IQR: 3, 6), and QMGS (7, IQR: 5,8) were lower compared to new-onset MG patients before COVID-19 outbreak. …”
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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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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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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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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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Collective and individual adaptation of rice farmers to climatic variability in the Vietnamese Mekong Delta by Hieu Hong Hua, Minh Anh Nguyen, Thuy Thanh Thi Ngo

“…It systematically explores the patterns of climate variability and their profound impacts on rice production across diverse areas within the delta. …”
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Antitumor power of oncolytic HSV engineered with IL-12 and IL-15 by Lei Zhang, Yanbin Zhu, Kunpeng Zheng, Xinyu Zhang, Chunxue Fu, Dan Wang, Xinqiang Zhang, Tong Wu, Shuxin Han, Zhenghai Ma

“…The engineered oHSV-1 demonstrated growth patterns comparable to wild-type HSV-1. The viral titers exhibited consistency within the same tumor cells. …”
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<i>SHROOM3</i> Deficiency Aggravates Adriamycin-Induced Nephropathy Accompanied by Focal Adhesion Disassembly and Stress Fiber Disorganization by Li-Nan Xu, Ying-Ying Sun, Yan-Feng Tan, Xin-Yue Zhou, Tian-Chao Xiang, Ye Fang, Fei Li, Qian Shen, Hong Xu, Jia Rao

“…Clinically, the glomerular <i>SHROOM3</i> expression positively correlated with glomerular filtration rates in focal segmental glomerulosclerosis patients. …”
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Satellite-Based Prediction of Water Turbidity Using Surface Reflectance and Field Spectral Data in a Dynamic Tropical Lake by Elsa Pereyra-Laguna, Valeria Ojeda-Castillo, Enrique J. Herrera-López, Jorge del Real-Olvera, Leonel Hernández-Mena, Ramiro Vallejo-Rodríguez, Jesús Díaz

“…In this study, we utilized Landsat satellite imagery in conjunction with near-synchronous in situ reflectance measurements to monitor spatial and seasonal turbidity patterns between 2023 and 2025. The surface reflectance was radiometrically corrected and validated using spectroradiometer data collected across eight sampling sites in the eastern sector of the lake, the area where the highest rates of horizontal change in turbidity occur. …”
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The Ethical Significance of Brain-Computer Interfaces as Enablers of Communication by Toma Gruica

“…Such moments fundamentally reconfigure the ethical relationship, shifting the patient from an object of interpretation to a subject capable of self-representation and autonomous expression.[8] These cases share the same ethical pattern: the BCI’s biggest impact is not the specific messages it transmits but its role as the enabler of transmission itself. …”
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Global burden trends and future predictions of ischemic heart disease attributable to air pollution in people aged 60 years and older, 1990–2021 by Yuanqin Zhao, Yuanqin Zhao, Lihui Liu, Lihui Liu, Wei Fan, Wei Fan, Man Qi, Man Qi, Bin Liao, Bin Liao

“…Therefore, it is of utmost significance to investigate the impact of AP on IHD burden, especially on vulnerable populations such as older individuals.MethodologyGlobal Burden of Disease (GBD) Study 2021 data was used to analyze and quantify contemporary global burden of IHD in individuals aged 60 and above due to AP and for trends for the time period between 1990 and 2021 using disease burden indicators such as deaths, DALYs, YLDs, YLLs and corresponding age-standardized rates (ASRs). Specifically, we are in patterns of disease burden of IHD in various subgroups stratified by age, sex, Sociodemographic Index (SDI), and GBD regions and countries. …”
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Antimicrobial susceptibility profiles of thermophilic Campylobacter species from human, pig, and chicken feces in Rwanda by Noel Gahamanyi, Noel Gahamanyi, Arsene Musana Habimana, Jean Paul Harerimana, Josiane Mukayisenga, Salomon Ntwali, Anathali Umuhoza, Emmanuel Nsengiyumva, Emmanuel Irimaso, Jean Bosco Shimirwa, Cheol-Ho Pan, Erick Vitus Komba, Claude Mambo Muvunyi, Nadine Rujeni, Raghavendra G. Amachawadi

“…Further genomic analysis will shed more light on the transmission and drug resistance patterns.…”
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