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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Antibiotics resistance in El Tor Vibrio cholerae 01 isolated during cholera outbreaks in Mozambique from 2012 to 2015. by Liliana Candida Dengo-Baloi, Cynthia Amino Semá-Baltazar, Lena Vania Manhique, Jucunu Elias Chitio, Dorteia Luísa Inguane, José Paulo Langa

“…However, an increase in resistance rates to antibiotics by Vibrio cholerae has been reported in several epidemic outbreaks worldwide. …”
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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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Clinical features of patients with dysthymia in a large cohort of Han Chinese women with recurrent major depression. by Wenqing Wu, Zhoubing Wang, Yan Wei, Guanghua Zhang, Shenxun Shi, Jingfang Gao, Youhui Li, Ming Tao, Kerang Zhang, Xumei Wang, Chengge Gao, Lijun Yang, Kan Li, Jianguo Shi, Gang Wang, Lanfen Liu, Jinbei Zhang, Bo Du, Guoqing Jiang, Jianhua Shen, Ying Liu, Wei Liang, Jing Sun, Jian Hu, Tiebang Liu, Xueyi Wang, Guodong Miao, Huaqing Meng, Yi Li, Chunmei Hu, Yi Li, Guoping Huang, Gongying Li, Baowei Ha, Hong Deng, Qiyi Mei, Hui Zhong, Shugui Gao, Hong Sang, Yutang Zhang, Xiang Fang, Fengyu Yu, Donglin Yang, Tieqiao Liu, Yunchun Chen, Xiaohong Hong, Wenyuan Wu, Guibing Chen, Min Cai, Yan Song, Jiyang Pan, Jicheng Dong, Runde Pan, Wei Zhang, Zhenming Shen, Zhengrong Liu, Danhua Gu, Xiaoping Wang, Xiaojuan Liu, Qiwen Zhang, Yihan Li, Yiping Chen, Kenneth S Kendler, Jonathan Flint, Zhen Zhang

“…<h4>Conclusions</h4>There are increased rates of stressful life events in MDD with dysthymia, but the impact of life events on susceptibility to dysthymia with MDD differs from that seen for MDD alone. …”
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Toxicokinetics, tissue distribution, and toxic potency of PFOS alternative OBS in adult zebrafish (Danio rerio) based on flow-through exposure system by Yilong Zou, Yu Zhou, Xianglian Wang, Guiqing Gao, Gang Chen, Zhanmeng Liu, Mi Deng, Xueping Huang, Yongming Wu

“…Our findings indicate that OBS accumulated rapidly in zebrafish, with log kinetic bioconcentration factor (logBCFk) values ranging from 2.48 to 2.70 and slow elimination rates (ke = 0.0490–0.0643 d−1). The blood, liver, and muscle were responsible for over 50 % of the total body burden of OBS, with tissue concentrations decreasing in the following order: blood > liver > intestine > gills > gonad > brain > muscle, suggesting a tissue-specific accumulation pattern. …”
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Dysregulated neural coding in the vagus nerve during long sepsis by Joshua J. Strohl, Tomás S. Huerta, Sergio Robbiati, Patricio T. Huerta

“…We found that LS mice exhibited significantly higher baseline vagal activity compared to controls, with elevated firing rates during both respiratory bursts and inter-burst intervals. …”
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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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Integrated Control of <i>Aedes albopictus</i> in a Residential Area Through a Community-Based Approach: NESCOTIGER, a Large-Scale Field Trial in Valencia, Spain by Marcos López-de-Felipe, Pedro María Alarcón-Elbal, Isaac García-Masiá, Anna Flor-Sánchez, Pilar Mateo-Herrero, Juan Pablo Serna-Mompeán, Juan Pablo Orán-Cáceres, Rubén Bueno-Marí, Ignacio Gil-Torró

“…<i>Aedes albopictus</i> has established populations in several European countries with a sustained spreading pattern through the continent. This invasive mosquito is a public health threat due to its vector competence for multiple arboviruses. …”
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A Comprehensive Analysis of the Radiographic Characteristics and Bilateral Symmetry of the Mental Foramen by Radhwan Algabri, Faisal Abulohoom, Abdelrahman Fadag, Hesham Al‐Sharani, Sami Al‐Aqab, Nassr Al‐Hutbany, Emad Alryashi, Ahmed Keshk, Ahmed Yaseen Alqutaibi

“…Gender differences were significant for the shape of the MF and the pattern of the canal on the right side. The symmetry rates for various features included horizontal positions (87.4%), vertical positions (82.6%), and shapes (80.4%). …”
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Negative Regulation of <i>GmNAC35</i> by miR164 Enhances Drought Tolerance in Soybean by Wentao Hu, Man Zhang, Jie Lu, Miaomiao Zhang, Reqing He, Youlin Zhu, Dong Wang, Liyun Jiang

“…Conversely, <i>GmNAC35</i> showed an inverse pattern, indicating negative regulation by miR164. …”
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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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An integrated high-resolution bathymetric model for the Danube Delta system by L. Alaerts, L. Alaerts, J. Lambrechts, N. R. Randresihaja, N. R. Randresihaja, L. Vandenbulcke, O. Gourgue, E. Hanert, E. Hanert, M. Grégoire

“…These error rates are comparable to those observed in bathymetry interpolation in rivers with similar source datasets. …”
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Biomechanical evaluation of novel construct for stabilizing subcapital femoral neck fractures: a synthetic bone model by Anjan R. Shah, Miguel A. Diaz, Douglas L. Cerynik, Blake Schultz

“…Abstract Background High complication rates continue to be reported for femoral neck fractures, where moderate to severe shortening has been associated with pain and inferior functional outcomes. …”
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