Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement by Fazal-E -Wahab, Zhongfu Ye, Nasir Saleem, Hamza Ali, Imad Ali

“…Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high computational load, most of the DL models for speech enhancement are difficult to implement for realtime processing. …”
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In silico study about β-amyloid’s role in Alzheimer’s disease and glaucoma and prediction of its interactions with glaucoma related proteins by Nancy Maurya

“…Methods: The study involved determination of feasibility of interaction between β-amyloid and well known glaucoma related proteins namely, myocilin and optineurin. The computational tool called Hex 8.0.0 has been used in this work. …”
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Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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Deciphering the potential of plant metabolites as insecticides against melon fly (Zeugodacus cucurbitae): Exposing control alternatives to assure food security by Zinat Jahan Chowdhury, Anik Banik, Tanjin Barketullah Robin, Mohammed Rashed Chowdhury

“…However, as this study was conducted solely through computational methods, we recommend subsequent in vitro and field trials for the future drug development.…”
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C-parameter version of robust bounded one-class support vector classification by Junyou Ye, Zhixia Yang, Yongxing Hu, Zheng Zhang

“…The theoretical properties of the proposed method are successively derived, including the relationship between the solutions to the primal and dual problems, the connections between our C-BOCSVC and $$\nu$$ -OCSVC and the computational complexity. Experimental results over massive datasets demonstrate the feasibility and reliability of our C-BOCSVC, and highlight the superior performance of C-RBOCSVC compared to other state-of-the-art one-class classifiers when data is contaminated. …”
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Investigation of Spectroscopic Parameters and Trap Parameters of Eu³⁺-Activated Y₂SiO₅ Phosphors for Display and Dosimetry Applications by Neeraj Verma, Marta Michalska-Domańska, Vikas Dubey, Tirath Ram, Jagjeet Kaur, Neha Dubey, Shireen Aman, Ovica Manners, Janita Saji

“…This makes them useful for making phosphors that emit red light for use in optoelectronics and flexible displays. Based on the computed (1931 CIE) chromaticity coordinates for the photoluminescence emission spectra, it was determined that the produced phosphor may be used in light-emitting diodes. …”
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A Guide to Light-Cone PDFs from Lattice QCD: An Overview of Approaches, Techniques, and Results by Krzysztof Cichy, Martha Constantinou

“…However, the complexity of the strong interactions has placed severe limitations, and first-principle information on these distributions was extracted mostly from their moments computed in Lattice QCD. Recently, breakthrough ideas changed the landscape and several approaches were proposed to access the distributions themselves on the lattice. …”
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DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture by Ruipeng Li, Yuehui Liao, Yueqi Huang, Xiaofei Ma, Guohua Zhao, Yanbin Wang, Chen Song

“…First, a CTPC (CNN-Transformer Parallel Combination) module leverages parallel branches of CNN and Transformer networks to fuse local and global features of glioma images, enhancing feature representation. Second, the model computes a region-based probability by comparing the number of pixels in tumor and background regions and assigns greater weight to regions with lower probabilities, thereby focusing on the tumor segment. …”
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Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China by Le Sun, Congmou Zhu

“…Therefore, it is recommended to increase the construction of rural digital infrastructure, improve the digitalization of inclusive finance with the help of digital technologies such as cloud computing, and expand the breadth and depth of digital inclusive finance services in rural areas, especially in economically underdeveloped provinces and cities, to effectively promote the comprehensive and high-quality development of rural areas.…”
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LISTEN-READ-DISCUSS (LRD) IN TEACHING SECOND LANGUAGE READING by Elfa Yusanti

“…After giving pre-test and post-test, the researcher analyzed the data using SPSS to compute independent sample t-test. Therefore, there is a significant influence of using listen-read-discuss towards students’ reading comprehension of narrative text at the first semester of the eleventh grade of SMA Perintis 1 Bandar Lampung…”
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Geomagnetic Storm Effects on the LEO Proton Flux During Solar Energetic Particle Events by Kirolosse M. Girgis, Tohru Hada, Akimasa Yoshikawa, Shuichi Matsukiyo, Viviane Pierrard, Susan W. Samwel

“…We developed a three‐dimensional relativistic test particle simulation code to compute the 70–180 MeV solar proton Lorentz trajectories in low L‐shell range from 1 to 3. …”
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Evaluation of CMIP5 Global Climate Models over the Volta Basin: Precipitation by Jacob Agyekum, Thompson Annor, Benjamin Lamptey, Emmannuel Quansah, Richard Yao Kuma Agyeman

“…Biases in models were computed by taking the differences between the averages over the period (1950–2004) of the models and the observation, normalized by the average of the observed for the annual and seasonal timescales. …”
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Liver and spleen elastography in diagnosis of extrahepatic portal vein obstruction: pilot study by M. Yu. Nadinskaya, Ye. O. Liusina, Ch. S. Pavlov

“…The study group: 19 patients (Age 21-76 years) with PVT diagnosed by multispiral computed angiography without liver/pancreatobiliary tumors and/or liver cirrhosis (LC). …”
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Enhancing Cluster Accuracy in Diabetes Multimorbidity With Dirichlet Process Mixture Models by Francis John Kita, Srinivasa Rao Gaddes, Peter Josephat Kirigiti

“…Clustering of diabetic multimorbidity data from EHRs is challenging due to patient heterogeneity, high-dimensional variables, sensitivity to parameter settings, and high computational demands, which complicate clustering processes and may result in suboptimal clustering results. …”
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Influence of Bisphosphonates on Alveolar Bone Loss around Osseointegrated Implants by Vivek, Ban A. Almudarris, Smitha Sharan, Prerna Kataria, Pallavi Nanaiah, Ravi Joshi, Chaitanya S. Buddhikot, Sheetal Acharya

“…Study participants were split into two groups: Group A (n = 30) had bisphosphonate therapy for a minimum of 1 year before implant placement, while Group B (n = 30) did not have any bisphosphonate treatment. Cone beam computed tomography images were performed to quantify the alveolar bone levels surrounding the implants at three time points: baseline, 6 months, and 12 months after implantation. …”
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Selection and Resource Allocation Strategies for Chatbot Technologies in Higher Education: An Optimization Model Approach by Suhan Wu, Min Luo

“…Numerical analysis confirms that this algorithm maintains robust performance and high computational efficiency, particularly when the chatbot count does not exceed 20. …”
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Primary bronchial leiomyosarcoma: a diagnostic challenge by Dan Chen, Shuai Luo

“…Case demonstration A 61-year-old male with a smoking history of 40 + years was admitted to the hospital due to cough, expectoration, and shortness of breath that extended for half a year, which aggravated for two months and was succeeded by intermittent bloody sputum for one month. Chest computed tomography (CT) revealed a mass in the upper lobe of the right lung, which was identified as a malignant tumour lesion involving the upper thoracic oesophagus. …”
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Characteristics of Singapore lung cancer patients who miss out on lung cancer screening recommendations by Chee Hong Loh, Pearly Wenjia Koh, Daniel Jia Ming Ang, Wei Chee Lee, Wui Mei Chew, Jansen Meng Kwang Koh

“…Introduction: The National Lung Screening Trial (NLST) identified individuals at high risk for lung cancer and showed that serial low-dose helical computed tomography could identify lung cancer at an earlier stage, leading to mortality reduction. …”
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Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans. by Jill A Rabinowitz, Jin Jin, Sally I-Chun Kuo, Adrian I Campos, Miguel E Rentería, Andrew S Huhn, Johannes Thrul, Beth A Reboussin, Kelly Benke, Benjamin Domingue, Nicholas S Ialongo, Brion S Maher, Darlene Kertes, Vanessa Troiani, George Uhl

“…Three substance use PRS were computed based on prior GWAS: lifetime cannabis use from Pasman et al. (2018), heavy drinking indexed via maximum number of drinks from Gelernter et al. (2019), and alcohol consumption from Kranzler et al. (2019).…”
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A Hybrid Model for Assessing the Performance of Medical Tourism: Integration of Bayesian BWM and Grey PROMETHEE-AL by Chin-Cheng Yang, Chih-Chien Shen, Tso-Yen Mao, Huai-Wei Lo, Chun-Jui Pai

“…The results of the analysis show that the two most critical criteria for MT are “the operators have cloud computing systems to analyze the travelers’ sensor data in real-time and accurately to provide customized medical services” and “multilingualism and communication skills of medical travel-related personnel.” …”
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