The collision between wireless and biology by Paul Héroux

“…Furthermore, the expansion of wireless data rates is in direct conflict with preservation of a healthy environment.…”
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The glass transition temperature investigation of polymers by molecular dynamic simulations by П. Саидахметов, И. Пиянзина, Г. Байман, О. Недопекин, Д. Таюрский

“… In this paper, the process of glass transition is studied, the theory of which is not fully developed. …”
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Contingent claims analysis as a credit risk metric: Evidence from Turkey by Baskurt Burcu Bahceci, Çelik Şaban

“…Credit ratings have become open to dispute in recent years regarding their objectivity, timeliness, and the criteria considered in the assignment process, which resulted in an inclination toward other methods to measure credit risk. …”
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Optimized low power hybrid adder architecture for OFDM in wireless communication by T. Kalavathi Devi, E. B. Priyanka, R. Anand, G. B. Bhavana, P. Sakthivel, S. Thangavel, Baseem Khan, K. Jeyanthi

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Contribution of direct-drinking water to calcium and magnesium and the influence on the height in school-age children by Hongru Gu, Yijing Gong, Zhao Li, Yanqiu Zhang, Jin Wu, Yi Wang, Min Ni, Jun Zhang, Hai Jiang

“…ObjectiveTo estimate the contribution of direct-drinking water provided in school to dietary intake (DI) and recommended nutrient intake (RNI) of calcium and magnesium, and to explore its influence on the height in school-age children.MethodsTap water and direct-drinking water samples were collected from schools in Taicang City to test the contents of calcium and magnesium, and compared by one-way ANOVA and post-hoc test. Contribution rates of direct-drinking water to DI and RNI were calculated by using the contents of calcium and magnesium and data from the Nutrition and Health Status Survey 2021. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…Blockchain technology separates the data chain and trust chain, enabling a distributed architecture that enhances data storage security and trust management robustness. (2) Behavioral Modeling and Defensive Strategies: The shared vehicle service process and user behavior are conceptualized as a Markov Decision Process. …”
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An Optimization Framework for Waste Treatment Center Site Selection Considering Nighttime Light Remote Sensing Data and Waste Production Fluctuations by Junbao Xia, Yanping Liu, Haozhong Yang, Guodong Zhu

“…By processing remote sensing data to mitigate noise and integrating it with conventional urban datasets, an innovative index system and predictive model were developed. …”
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Juvenile-specific high heat production contributes to the initial step of endothermic development in Pacific bluefin tuna by Takaaki K. Abe, Takaaki K. Abe, Maho Fuke, Ko Fujioka, Ko Fujioka, Takuji Noda, Hiroyuki Irino, Yoshikazu Kitadani, Hiromu Fukuda, Morten Bo Søndergaard Svendsen, John Fleng Steffensen, Takashi Kitagawa, Takashi Kitagawa

“…The HBM was applied to 2–4 months of biologging data from juveniles (23–50 cm Lf; 200–4 kg) to estimate heat production rates (T˙m), revealing that these rates remained high up to approximately 700 g and declined thereafter. …”
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Evaluating Ammonia's Flammability and Explosion Hazards in Air and Oxygen at Elevated Conditions: Data Generation and Review According to the New European Standard by Benoit Tribouilloy, Esteban Paillery, Roberto Palomino, Alexis Vignes

“…The main conclusions are as follows (1) the lower explosive limit remains around 10%vol, as proposed by Doring (1931), (2) the upper explosive limit reaches 93%vol under the conditions tested, (3) the maximum explosion pressure measured is 42 MPa (explosion ratio of 8.3), and (4) the maximum rate of pressure rise is 920 MPa.s-1. The application of the EN 17624 standardised method makes it possible to generate new, up-to-date data to improve our understanding of the safety limits of ammonia.…”
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ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment by Guangyu Sun

“…The model leverages cognitive-enhanced strategies, including EEG-based modulation and hierarchical fusion of multimodal data, to overcome the challenges faced by traditional methods.Results and discussionExperiments conducted on four datasets–EEGEyeNet, DEAP, PhyAAt, and eSports Sensors–demonstrate that ClinClip significantly outperforms six state-of-the-art models in both Word Error Rate (WER) and Cognitive Modulation Efficiency (CME). …”
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Prediction of instability of formwork concrete pier based on big data machine learning for secondary mining without coal pillar mining by Yanhui Zhu, Ye Tian, Peilin Gong, Kang Yi, Tong Zhao

“…Through field research, numerical simulation, theoretical analysis, big data machine learning, and field testing, the stress migration patterns and destabilization mechanisms of flexible formwork concrete pier columns under secondary mining conditions were investigated. …”
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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Rhinocerebral Mucormycosis in Patients with Diabetes Mellitus After a New Coronavirus Infection (COVID-19): СT and MRI Patterns Data by I. S. Gabdulganieva, N. R. Munirova, A. R. Zaripova, V. I. Anisimov

“…Brain substance and meninges involvement in the pathological process was observed in the form of cerebritis in 23% of patients and meningitis in 46%. …”
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MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images by Angel Luis Perales Gomez, Juan Jesus Losada del Olmo, Pedro E. Lopez-de-Teruel, Alberto Ruiz, Felix J. Garcia Clemente, Andres Conesa Bueno

“…In the race for economic growth, many production activities have incorporated automated devices into their processes. This is also true for the agriculture sector, where different sensors and Internet of Things (IoT) architectures have been proposed to perform automatic data gathering and data analyzing in later stages. …”
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In-situ thermographic monitoring and numerical simulations of laser-foil-printing additive manufacturing by Tunay Turk, Tao Liu, Chia-Hung Hung, Richard Billo, Jonghyun Park, Ming C. Leu

“…The continuous line scanning strategy resulted in a gradual increase in cooling rates along the scanning path, while the discrete spot scanning strategy maintained stable cooling rates at each weld spot.…”
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Research on Weighted Fusion Method for Multi-Source Sea Surface Temperature Based on Cloud Conditions by Xiangxiang Rong, Haiyong Ding

“…By introducing the buoy observation data, the fusion results are evaluated using the metrics of bias, RMSE, URMSE, <i>r</i> and coverage. …”
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Multiobjective optimization of welding process variables in RMD and FCAW techniques using a heat transfer search algorithm for 316LN stainless steel by Ravi Dave, Indravadan B. Dave, Jay J. Vora, Rakesh Chaudhari, Subhash Das, Prashant Kumar Gangwar

“…Abstract This study aims to identify the optimal parameters for regulated metal deposition (RMD) and flux-cored arc welding (FCAW) processes when joining 316LN stainless steel. The objective was to determine the optimal settings for current (A), voltage (V), and gas flow rate (GFR, L/min) to achieve the desired weld bead characteristics, including bead width (BW), bead height (BH), depth of penetration (DOP), and heat-affected zone (HAZ). …”
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Spatiotemporal Variations in Human Activity Intensity Along the Qinghai–Tibet Railway and Analysis of Its Decoupling Process from Ecological Environment Quality Changes by Fengli Zou, Qingwu Hu, Lei Liao, Yuqi Liu, Haidong Li, Xujie Zhang

“…From 2013 to 2020, the growth rate began to slow. Within a 0–30 km buffer zone centered on railway station locations (with a 15 km radius), the growth rate of human activity intensity generally decreased with increasing distance from the railway. …”
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Adaptive Torque Control for Process Optimization in Friction Stir Welding of Aluminum 6061-T6 Using a Horizontal 5-Axis CNC Machine by Austin Clark, Ihab Ragai

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Geospatial modeling of landslide susceptibility in Debek, South Wollo, Ethiopia: comparative analysis of frequency ratio and analytical hierarchy process models for geohazards mana... by Alemnew Ali, Degfie Teku, Tesfaldet Sisay, Bishaw Mihret

“…The FR model demonstrated a slightly better performance than the AHP model, with an ROC success rate of 0.828 and a prediction rate of 0.835, compared to 0.826 and 0.832, respectively, for the AHP model. …”
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