Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…We hypothesized that the pattern of directional functional connectivity can provide key information on treatment outcomes. …”
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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

“…Breaking through traditional structural designs, the model employs a Squeeze-and-Excitation Network (SENet) to reconstruct the convolutional layers of the Temporal Convolutional Network (TCN), strengthening the feature expression of key time steps through dynamic channel weight allocation to address the redundancy issue of traditional causal convolutions in local pattern capture. A Bidirectional Gated Recurrent Unit (BiGRU) variant based on a global attention mechanism is designed, leveraging the collaboration between gating units and attention weights to mine cross-period long-distance dependencies and effectively alleviate the gradient disappearance problem of Recurrent Neural Network (RNN-like) models in multi-scale time-series analysis. …”
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Markers of vascular damage depending on the blood pressure level: data of the population study ESSE-RF by A. M. Erina, M. A. Boyarinova, E. V. Moguchaya, E. P. Kolesova, A. S. Aliyeva, O. P. Rotar, E. I. Baranova, S. A. Shalnova, A. D. Deev, Z. T. Astakhova, L. Z. Bolieva, G. V. Tolparov, V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva, R. S. Karpov, A. Yu. Efanov, M. A. Storozhok, I. V. Medvedeva, S. V. Shalaev, A. N. Rogoza, A. O. Konradi, S. A. Boytsov, E. V. Shlyakhto

“…Glomerular filtration rate (GFR) was calculated using the CKD-EPI equation. …”
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Two‐Terminal MoS2‐Based Retinomorphic Devices with Enhanced Synaptic Plasticity by Younghoon Lim, Taehun Kim, Jaesik Eom, Onsik Harm, Junsung Byeon, Jungmoon Lim, Juwon Lee, Sangyeon Pak, SeungNam Cha

“…Herein, the two‐terminal retinomorphic devices are reported featuring a tailored gating voltage range near zero and enhanced synaptic plasticity by providing another recombination route to suppress the PPC effect. …”
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Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks by Aijaz H. Lone, Meng Tang, Daniel N. Rahimi, Xuecui Zou, Dongxing Zheng, Hossein Fariborzi, Xixiang Zhang, Gianluca Setti

“…Based on the ferromagnetic multilayer spintronic devices, a magnetic field‐gated and current‐controlled spintronic Leaky Integrate‐and‐Fire (LIF) neuron with memtransistor properties is showcased. …”
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THE IMPACT OF ADEQUATE PSYCHOPHARMACOTHERAPY ON THE EFFICIENCY OF TREATMENT IN PATIENTS WITH RHEUMATOID ARTHRITIS by A. A. Abramkin, T. A. Lisitsyna, D. Yu. Veltishchev, O. F. Seravina, O. B. Kovalevskaya, E. L. Nasonov

“…The diagnosis of MDs was based on the ICD-10 codes, by applying a semi-structured interview and the Hospital Anxiety and Depression Scale. Changes in the pattern and severity of ADS were evaluated using the Hamilton Anxiety Scale and the Montgomery–Asberg Depression Rating Scale. …”
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Breeding of a new mid-to-late ripening apple cultivar Wangyuebingcui by XU Haihong, YANG Kai, LI Guangjin, ZHANG Guoqiang, TIAN Ge, AI Bohao, LI Xuqiang, WANG Junya

“…The cultivar combines high budbreak rate with moderate branching capacity, exhibiting spur-type growth pattern, sustained cluster-base productivity, and axillary flowering propensity. …”
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Effect of Chemical Processed Barley Grain (Hordeum vulgare) Through Steam Infrared Flaking on Productive and Parameters of Ruminal Fermentation in Holstein Lactating Cows by Amir Honarmand, Seyed Alireza Vakili, Mohsen Danesh Mesgarani, Abdolmansour Tahmasebi

“…Steam-infrared heated-flaking is a physical-specific process and it impresses on starch gelatinization and protein denaturation which may modify both site and rate of digestion. Treating barley grain with lactic acid have been shown to alter the chemical composition and the nutritional value of treated grains. …”
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Low-level atmospheric turbulence dataset in China generated by combining radar wind profiler and radiosonde observations by D. Meng, D. Meng, J. Guo, J. Guo, J. Chen, X. Guo, N. Li, Y. Sun, Z. Zhang, Z. Zhang, N. Tang, H. Xu, T. Chen, R. Yang, J. Hua

“…This dataset includes squared Brunt–Väisälä frequency (<span class="inline-formula"><i>N</i>²</span>), turbulent dissipation rate (<span class="inline-formula"><i>ε</i></span>), vertical eddy diffusivity (<span class="inline-formula"><i>K</i></span>), inner scale (<span class="inline-formula"><i>l</i>₀</span>), and buoyancy length scale (<span class="inline-formula"><i>L</i>_B</span>), which are provided twice daily at 00:00 and 12:00 UTC with a vertical resolution of 120 m, covering altitudes from 0.12 to 3.0 km above ground level (a.g.l.). …”
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The Impact of Climate Change on the Content and Spatial Distribution of the Total Dissolved Solids in Bandar-e-Gaz Coastal Aquifer by Mohammad Mehdi Ansarifar, Meysam Salarijazi, Khalil Ghorbani, Abdolreza Kaboli

“…These are as follows: Optimistic climate scenario (RCP2.6) + extraction of groundwater at a constant rate until 2100+ no change in Caspian Sea level up to 2100. …”
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Landau–Kleffner Syndrome Can Herald the Diagnosis of GRIN2A Gene Mutation by Ayman Khalil Ebrahim, Jaafar Jawad Makhlooq, Maryam Yusuf Busehail

“…N-methyl-D-aspartate receptors (NMDARs) are glutamate-gated channels that are essential for synaptic transmission and plasticity in the central nervous system. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…To identify the irregularities in the cardiac data pattern, a gated recurrent unit (GRU) classifier and a one-dimensional convolutional neural network (1D-CNN) are introduced. …”
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Planning with self‑organised initiatives by Igor Tempels Moreno Pessôa

“… Over the last half century, the Global South has faced a strong rise in the rate of urbanisation. Although this process differs from region to region, rapid urbanisation has created many challenges for countries in the Global South. …”
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Regulation of Nav1.7: A Conserved SCN9A Natural Antisense Transcript Expressed in Dorsal Root Ganglia. by Jennifer Koenig, Robert Werdehausen, John E Linley, Abdella M Habib, Jeffrey Vernon, Stephane Lolignier, Niels Eijkelkamp, Jing Zhao, Andrei L Okorokov, C Geoffrey Woods, John N Wood, James J Cox

“…The Nav1.7 voltage-gated sodium channel, encoded by SCN9A, is critical for human pain perception yet the transcriptional and post-transcriptional mechanisms that regulate this gene are still incompletely understood. …”
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How plausible is it that PEP would be cost‐effective in sub‐Saharan Africa? by Geoffrey Peter Garnett, Peter Godfrey‐Faussett

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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The addition of quantum computing based attributes (such as quantum bits, their superposition, and quantum gates, etc.) ensures the better diversity of discrete optimized features. …”
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Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

“…Chomsky, N., & Halle, M. (1968). The sound pattern of English. New York : Harper and Row. Chialant, D. & Caramazza, A. (1995). …”
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Inwardly rectifying potassium channels: Critical insights for insect species and Apis mellifera by Fabien Sourisseau, Craig A. Doupnik, Pierre Charnet, Mohamed Chahine

“…The dKir channels are essential for various developmental processes, such as wing patterning, by modulating bone morphogenetic protein signaling pathways. …”
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Simulation Analysis of Water Resource Scheduling in Nansu River Based on Coupled Water Quality-Quantity Model by HOU Xiang-dong, ZHAO Xiang-ling

“…According to the comparative analysis of the scheduling schemes, the optimal scheme for improving water quality is to close the sluice gates of the Oupugou tributary to prevent pollutant inflow, and to moderately regulate water flow to further improve water quality.…”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…During the learning phase, the model attempts to identify the inherent pattern or the relationship between the dependent variable (financial distress) and each explanatory variable (working capital management components) with the validity of this learning measured by the testing data. …”
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