Association of Gait Characteristics and Depression in Patients with Parkinson’s Disease Assessed in Goal-Directed Locomotion Task by Péter Kincses, Norbert Kovács, Kázmér Karádi, Ádám Feldmann, Krisztina Dorn, Zsuzsanna Aschermann, Sámuel Komoly, Tibor Szolcsányi, Árpád Csathó, János Kállai

“…In patients with PD and depression, the visually deprived multitask augments the rate of cadence and diminishes stride length, while velocity remains relatively unchanged. …”
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Chronic Hepatitis C Therapy in Liver Cirrhosis Complicated by Telaprevir-Induced DRESS by Omar Y. S. Mousa, Rossa Khalaf, Rhonda L. Shannon, Chukwuma I. Egwim, Scott A. Zela, Victor Ankoma-Sey

“…Drug reaction with eosinophilia and systemic symptoms (DRESS) is a rare yet severe adverse drug-induced reaction with up to 10% mortality rate. Recent clinical trials reported an association between DRESS and telaprevir (TVR), an NS3/4A protease inhibitor of chronic hepatitis C (CHC) virus genotype 1. …”
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Applications of multispectral autofluorescence imaging of malignant tumors by G. V. Papayan, N. N. Petrishchev, S. V. Kim, Hyung Ho Kim, V. B. Berezin, Uk Kang

“…Among observed effects the new one is an unusually active angiogenesis at early stage of tumor formation accompanied by atypical tortuous vessels with growth rate up to 3 mm/day. Two-wave excitation simultaneous laser with excitation on wavelength of 390 nm and 635 nm is shown to be promising for autofluorescence diagnosis along with single-wave excitation which is conventionally performed in the violet-blue region of the spectrum. …”
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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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Rabbitpox by Lyudmila F. Stovba, Aleksandr A. Petrov, Dеnis P. Belozerov, Oleg V. Chukhralia, Sergey A. Melnikov, Sergey V. Borisevich

“…A rabbitpox virus may provoke a grave and highly contagious disease in rabbits with a high death rate. The symptoms of this disease in rabbits is similar to symptoms of natural smallpox in humans. …”
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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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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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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…By testing simulated SECM samples, the method demonstrated a substantial reduction in the false-negative rate even with up to 75% cumulus cell contamination. …”
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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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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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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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