Hydroclimatic extremes threaten groundwater quality and stability by Simon A. Schroeter, Alice May Orme, Katharina Lehmann, Robert Lehmann, Narendrakumar M. Chaudhari, Kirsten Küsel, He Wang, Anke Hildebrandt, Kai Uwe Totsche, Susan Trumbore, Gerd Gleixner

“…Abstract Heavy precipitation, drought, and other hydroclimatic extremes occur more frequently than in the past climate reference period (1961–1990). …”
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Microbial-induced mineral carbonation: A promising approach for improving Carbon sequestration and performance of steel slag for its engineering utilization by Jue Li, Qingmeng Hou, Xinqiang Zhang, Xiaobin Zhang

“…Steel slag, a by-product of steel production, accumulates in large quantities and poses significant environmental risks due to heavy metal ion content. Therefore, using pre-treated steel slag in construction offers a sustainable solution. …”
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Landslide-channel feedbacks amplify channel widening during floods by Georgina L. Bennett, Diego Panici, Francis K. Rengers, Jason W. Kean, Sara L. Rathburn

“…Floods in mountainous regions often coincide with landslides triggered by heavy rainfall, yet landslide-channel interactions during a flood event are not well known or documented. …”
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Evolution trends and driving factors of industrial water use: A case study of Ordos City, China by Hong Lv, Yiqing He, Yuan Liu, Xinjian Guan, Wenxiu Shang, Zheng Xiaokang

“…Key driving factors include power generation, heavy industry proportion, and industrial added value, while inhibiting factors involve water recycling rates, sewage reuse, and policy measures. …”
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Toxicity of mercury (Hg) on survival and growth rate, hemato- and histopathological parameters ofOreochromis niloticus by Kukuh Nirmala, Yuni Puji Hastuti, Vika Yuniar

“… Heavy metals are serious pollutants of the aquatic environment because of their environmental persistence and ability to be accumulated by aquatic organisms. …”
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A pilot, four-week, dietary program with targeted nutraceuticals improves cardiometabolic functioning, metabolic transformation, and gut health by Wei Gao, Joseph J. Lamb, David Graham, Bhargavi Manda, Clinton J. Dahlberg, E. Wesley Huff, Michael Saunders, Matthew L. Tripp

“…Subjects expressed positive subjective health and symptom changes coincident with improvements in anthropomorphic variables, lipid profiles, glycemic measures, vascular biomarkers, cardiovascular risk, systemic inflammation, hepatic function, urinary heavy metal excretion, and gut health. Thus combining targeted nutraceutical supplementation with a low-glycemic load food plan and exercise may represent a novel nutritional approach to improving the body's ability to modulate the toxicity of pollutants and reducing cardiometabolic risk factors in generally healthy overweight persons.…”
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Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

“…The causal model highlighted factors such as physical activity, difficulty in walking, and heavy drinking as direct contributors to diabetes. …”
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Biophoty: The Biofilm in Biography Theory by Joanny Moulin

“…It begins by looking back to a debate going on in the 1970s and 1980s about whether film was a suitable medium for historiography and historical research, contrasting the reluctance of some American and British researchers like Robert Rosenstone, Ian Jarvie and Belén Vidal with French historian Marc Ferro’s engagement in favour of the use of cinema in history studies, and his contention that “history on film has become a force”. …”
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Weather Monitoring and Classification Tools Using Fuzzy Logic Method Based on Internet of Things for Agriculture by Muhammad Alfazri Avindra, Ahmad Taqwa, Suroso

“…The system integrates sensors for temperature, humidity, air pressure, wind speed, and rainfall, processing the data through Fuzzy Logic to classify weather into sunny, cloudy, light rain, moderate rain, and heavy rain. The results are accessible in real-time via an LCD screen and the Blynk application. …”
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Dynamic Parameter Identification And Control of Legged Robots’ Legs Considering Joint Friction Characteristics by Xiao Haoyang, Qian Letian, Luo Xin

“…Base on the identification results, a feedforward-feedback control strategy is carried out. Experiments on a heavy-duty quadruped robot indicate that the prediction error of joint torques utilizing the proposed method is reduced by about 40%, and the trajectory tracking accuracy is improved by more than 60%, comparing to those obtained by the existing identification and control method based on linear friction model.…”
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Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model by Dechen Yao, Qiang Sun, Jianwei Yang, Hengchang Liu, Jiao Zhang

“…The present work aimed at the problems of less negative samples and more positive samples in rail fastener fault diagnosis and low detection accuracy of heavy manual patrol inspection tasks. Exploiting the capacity of a Convolution Neural Network (CNN) to process unbalanced data to solve tedious and inefficient manual processing, a fault diagnosis method based on a Generative Adversarial Network (GAN) and a Residual Network (ResNet) was developed. …”
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Synthetic Conditions and Color Characteristics of Tantalum Oxynitride Prepared via Liquid-NH3 Process by Yo Sasaki, Zentaro Tokuyasu, Yoichi Ono, Mitsunobu Iwasaki, Seishiro Ito

“…Tantalum oxynitrides, such as TaON, exhibit promising color properties and can be employed as nontoxic yellow pigments containing no heavy metals. We have developed a process for preparing nitrides or oxynitrides involving the vacuum-calcination of a precursor material obtained via reaction between a metal halide and liquid NH3. …”
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Attitude of Family Physicians to Depression Treatment by Yasemin Yildiz, Didem Sunay, Mehmet Ali Akkus

“…It was found that there was a significant relation between giving positive answers to the questions about abnormalities related to biochemistry of heavy depression occurrences and psychotherapy tends to be unsuccessful for the depressive patients ( p [JCBPR 2018; 7(2.000): 62-71]…”
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New Robust Part-Based Model with Affine Transformations for Facial Landmark Localization and Detection in Big Data by Chentao Zhang, Habte Tadesse Likassa, Peidong Liang, Jielong Guo

“…In contrast to the existing works, the new algorithm incorporates affine transformations with the robust regression to tackle the potential effects of outliers and heavy sparse noises, occlusions and illuminations. …”
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Integration of InSAR coherence and SAR backscatter increases accuracy of LULC mapping in tropical high-mountain ecosystems by William Martínez, Ivan Lizarazo, André Große-Stoltenberg

“…Additionally, this study underscores the utility of cloud-based platforms for efficient SAR data processing, offering a scalable approach for mapping high-mountain ecosystems worldwide, especially in inaccessible and heavy precipitation regions.…”
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Analysis on the Meshing Performance of Modified Involute Enveloping Toroidal Worm Transmission Based on Medium Gears by Chen Yan, Ye Qiang, Zhao Liangliang, Yan Lei, Chen Yonghong

“…Based on a man-machine interactive heavy-duty robot rotary joint applied to 7 km automatic drilling rigs, a prototype of modified involute enveloping toroidal worm drive reducers is developed, and the correctness of theoretical analysis is verified.…”
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The Effects of Light-to-Moderate Alcohol Consumption on the Cognitive Function of Community Nondemented Male Elderly: A Cohort Study by Zhang Yan, Zhang Yingjie, An Na, Qiu Qi, Li Wei, Wang Wenzheng, Sun Lin, Xiao Shifu

“…To investigate the effects of light-to-moderate drinking on the cognitive function of the elderly in a large elderly community cohort. Although heavy drinking is linked with impaired brain functions, the effects of light-to-moderate drinking on the cognitive function of the elderly are still controversial. …”
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Optimal SES Selection Based on SVD and Its Application to Incipient Bearing Fault Diagnosis by Longlong Li, Yahui Cui, Runlin Chen, Xiaolin Liu

“…The early defect occurring in the REB is too weak and manifests itself in heavy surrounding noise, thus leading to the inefficiency of the fault detection techniques. …”
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THEORETICAL STUDY ON ROUGHNESS FACTORS OF INVOLUTE SPUR GEAR TRANSMISSION by GAO ChuangKuan, ZHOU ZhongKe

“…Based on the model,280 sets of numerical calculations were carried for both medium and heavy duty transmissions through changing the roughness values. …”
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Major Achievements and Prospect of the ATLAS Integral Effect Tests by Ki-Yong Choi, Yeon-Sik Kim, Chul-Hwa Song, Won-Pil Baek

“…A large-scale thermal-hydraulic integral effect test facility, ATLAS (Advanced Thermal-hydraulic Test Loop for Accident Simulation), has been operated by KAERI. The reference plant of ATLAS is the APR1400 (Advanced Power Reactor, 1400 MWe). …”
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