Efficiency of remote monitoring and guidance in blood pressure management: a randomized controlled trial by Tian-qi Teng, Gui-xia Sun, Zhi-yi Yu, Zi-shan Liu, Tao Wang, Qiong Wu, Ran-ran Qin, Meng-meng Wang, Rui Chen, Jia-Chao Xu, Ning Zhang, Bing-xue Song, Xin Liu, Ying-ying Zhang, Hai-Chu Yu

“…Conclusions Remote monitoring and guidance enhanced the efficiency of BP management, whereas self-monitoring alone proved to be ineffective. …”
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Research and application practice of digital intelligent technology and complete set of equipment for efficient coalmining by Guofa WANG, Jinhu ZHANG, Huaiwei REN, Yibo DU, Desheng ZHANG, Ruyu YAN, Xiang YU

“…This forms a linked mechanism for support equipment groups in ultra-long workfaces and achieves coordinated control among equipment groups, significantly improving mining efficiency and resource recovery rates for medium-thick coal seams. …”
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Influence of high-load shocks on achieving mainstream partial nitrification: Microbial community succession by Chenjie Jia, Jialin Li, Zhaoyang Li, Liang Zhang

“…The system achieved efficient PN performance and sustained for 124 days. …”
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A robust tuned EfficientNet-B2 using dynamic learning for predicting different grades of brain cancer by A. A. Abd El-Aziz, Mohammed Elmogy, Sameh Abd El-Ghany

“…The assessment of our proposed classifier revealed that the proposed DL model based on EfficientNet-B2, incorporating the ADL rate technique, shows promising potential in accurately and efficiently diagnosing brain tumors. …”
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Impact of hot-air and infrared-assisted solar drying on the drying characteristics and physicochemical properties of cacao beans (Theobroma cacao L.) by Edwin O. Baldeón, Lizbeth R. Mamani-Olgado, Bernardo O. Yépez Silva-Santisteban, Gabriela C. Chire-Fajardo, Nubia C. Martínez-Guerrero, Milber O. Ureña-Peralta

“…This development constitutes a viable alternative for improving the drying efficiency and quality of beans.…”
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Automatic smart brain tumor classification and prediction system using deep learning by Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali, Faisal Jamil, Yousaf Saeed, Rana Othman Alnashwan, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna

“…This reduces the risk of complications and increases the rate of recovery. Early detection is also significant in the selection of the most suitable treatment. …”
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A Shannon Wavelet Method for Pricing American Options under Two-Factor Stochastic Volatilities and Stochastic Interest Rate by Huang Shoude, Xunxiang Guo

“…In the paper, the pricing of the American put options under the double Heston model with Cox–Ingersoll–Ross (CIR) interest rate process is studied. The characteristic function of the log asset price is derived, and thereby Bermuda options are well evaluated by means of a state-of-the-art Shannon wavelet inverse Fourier technique (SWIFT), which is a robust and highly efficient pricing method. …”
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The Imputability of Sub-Income Under Section 7(3) of the Income Tax Act 1962 by Petra Claassen

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Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

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Hybrid Transformer-EfficientNet Model for Robust Human Activity Recognition: The BiTransAct Approach by Aftab Ul Nabi, Jinglun Shi, Kamlesh, Awais Khan Jumani, Jameel Ahmed Bhutto

“…Furthermore, the features like self-attention mechanism and dynamic learning rate make BiTransAct even more robust and avoid overfitting. …”
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Energy-Efficient Sleep Mode Schemes for Cell-Less RAN in 5G and Beyond 5G Networks by Farinaz Kooshki, Ana Garcia Armada, Md. Munjure Mowla, Adam Flizikowski, Slawomir Pietrzyk

“…To fulfill user demands for various user densities and meanwhile reduce the power consumption, we present a novel energy-efficiency enhancement scheme, i.e., <inline-formula> <tex-math notation="LaTeX">$(3\times E)$ </tex-math></inline-formula> to increase the transmission rate per energy unit, with stable performance within the cell-less radio access network (RAN) architecture. …”
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Enhancing Uplink Communication in Wireless Powered Communication Networks Through Rate-Splitting Multiple Access and Joint Resource Optimization by Iqra Hameed, Mario R. Camana, Mohammad Abrar Shakil Sejan, Hyoung Kyu Song

“…To address these challenges, we propose an RSMA-aided WPCN framework, which optimizes rate-splitting factors, power allocation, and time division to enhance spectral efficiency and user fairness. …”
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Lower-Complexity Multi-Layered Security Partitioning Algorithm Based on Chaos Mapping-DWT Transform for WA/SNs by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Ahmed A. F. Youssef, Ali M. El-Rifaie

“…Therefore, these LP-WN applications require special techniques to satisfy the requirements of a low data loss rate and satisfy the security requirements while considering the accepted level of complexity and power efficiency of these techniques. …”
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Enhancing NUE in Corn Through Optimized Sensor-Based Prescription Maps by Salman Mirzaee, Ali Mirzakhani Nafchi

“…However, adjusting the spatial and temporal nitrogen requirement rates using a soil-based sensor was difficult. The findings suggest remote sensing-based method can offer nitrogen optimization by incorporating in-season environmental variability, enhancing agronomic efficiency and sustainability.…”
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ML-RASPF: A Machine Learning-Based Rate-Adaptive Framework for Dynamic Resource Allocation in Smart Healthcare IoT by Wajid Rafique

“…We propose ML-RASPF, a machine learning-based framework for efficient service delivery in smart healthcare systems. …”
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Design and analysis of optical encryption for optical transport networks with a rate of 100Gbps based on Mach–Zehnder interferometers by Amir Khalili, Kambiz Abedi

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The effect of a synthetic double layer hydroxide on the rate of II&#8594;I phase transformation of poly(1-butene) by V. Causin, C. Marega, A. Marigo, R. Saini, G. Ferrara, R. Neppalli

“…Particular attention was posed on the study of the effect of this particular kind of clay on the rate of II&#8594;I phase transition of the matrix. …”
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Forecasting Inflation Rate Using Support Vector Regression (SVR) Based Weight Attribute Particle Swarm Optimization (WAPSO) by Erlin Mega Priliani, Anggyi Trisnawan Putra, Much Aziz Muslim

“…Thus, the SVR-WAPSO method can increase the accuracy of 2,805% of a single SVR method for inflation rate forecasting. This research can be used as a reference for the next researcher can make improvements in determining the range of SVR parameters to get the value of each parameter more effective and efficient to get more optimal accuracy.…”
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Gas Leak Detection and Leakage Rate Identification in Underground Utility Tunnels Using a Convolutional Recurrent Neural Network by Ziyang Jiang, Canghai Zhang, Zhao Xu, Wenbin Song

“…An underground utility tunnel (UUT) is essential for the efficient use of urban underground space. However, current maintenance systems rely on patrol personnel and professional equipment. …”
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Water Interaction Type Affects Environmental DNA Shedding Rates of Terrestrial Mammal eDNA Into Surface Water Bodies by Gabriele Sauseng, Tamara Schenekar

“…ABSTRACT The analysis of environmental DNA (eDNA) has become a non‐invasive, cost‐efficient, and universal biomonitoring tool, widely applied across the globe. …”
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