Multi dimensional segmented hydraulic fracturing impact ground pressure control and loss reduction technology for deep buried thick coal seam hard roof by Yi TAN, Yu WANG, Manchao HE, Hui LI, Wenbing GUO, Linmao LI, Weidong LIU, Shaopu ZHANG

“…According to this method, the fracturing target layer of 2305 working face is determined to be 14.50 m thick coarse sandstone; A numerical calculation model for strain softening under fluid structure coupling mode was constructed, and a comparative experiment was designed with and without directional segmented hydraulic fracturing in the target layer. …”
Get full text

Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

“…Applying the criterion function, a convolutional neural network-based metal artifact reduction model was trained on a synthetic dataset. …”
Get full text

Reduction in SH-SY5Y Cell Stress Induced by Corticosterone and Attenuation of the Inflammatory Response in RAW 264.7 Cells Using Endomorphin Analogs by Renata Perlikowska, Angelika Długosz-Pokorska, Małgorzata Domowicz, Sylwia Grabowicz, Mariusz Stasiołek, Małgorzata Zakłos-Szyda

Get full text

The impact of agricultural production diversity on farmer household dietary diversity: a case study of Nanjing City by Qi Shen, Tingting Qiang, Taiyang Zhong

“…The food consumption problem of rural residents is a major social issue that deserves attention, and food security should be guaranteed.MethodsThis paper takes rural households in Nanjing as the research object and uses feasible generalized least squares and simultaneous equation models to explore the relationship between the diversity of rural household production and dietary diversity in Nanjing and analyze the differences in the impact of production diversity and market purchases on dietary diversity and other related influencing factors.ResultsThe results show that agricultural production has changed from “small and comprehensive” with diversity to relatively single “specialization”. …”
Get full text

Changes in HIV incidence among people who inject drugs in Taiwan following introduction of a harm reduction program: a study of two cohorts. by Yen-Fang Huang, Jyh-Yuan Yang, Kenrad E Nelson, Hsu-Sung Kuo, Chin-Yin Lew-Ting, Chin-Hui Yang, Chang-Hsun Chen, Feng-Yee Chang, Hui-Rong Liu

“…The aim of this study was to determine the association between harm reduction programs and HIV incidence among PWID.<h4>Methods and findings</h4>The study included two populations. …”
Get full text

An Edge-Computing-Driven Approach for Augmented Detection of Construction Materials: An Example of Scaffold Component Counting by Xianzhong Zhao, Bo Cheng, Yujie Lu, Zhaoqi Huang

“…An automated pruning method was proposed to compress the model, achieving a 60.2% reduction in computation and a 9.1% increase in inference speed. …”
Get full text

Balancing Solar Energy, Thermal Comfort, and Emissions: A Data-Driven Urban Morphology Optimization Approach by Chenhang Bian, Panpan Hu, Chun Yin Li, Chi Chung Lee, Xi Chen

Get full text

Low-Density Lipoprotein Cholesterol Reductions of not Less Than 60 mg/dL Prevent Hemorrhagic Stroke in Hypertensive Populations: A Meta-analysis by Tao Yan, Lehui Li, Ziying Zhang, Ning Cao, Yuan Xia, Yuan Shen, Haitao Ju, Xingguang Zhang, Nan Zhang

Get full text

Numerical simulation of fecal coliform reduction at a constructed wetland Simulação numérica da redução de coliformes fecais em terras úmidas construídas by Mariângela Amendola, Anderson L. de Souza, Denis M. Roston

“…The theoretical data were obtained from a mathematical model, adapted to describe the physical process of subsurface flow. …”
Get full text

Intersecting factors of disadvantage and discrimination and their effect on daily life during the coronavirus pandemic: the CICADA-ME mixed-methods study by Carol Rivas, Amanda P Moore, Alison Thomson, Kusha Anand, Zainab Zuzer Lal, Alison Fang-Wei Wu, Ozan Aksoy

“…Objectives Through an intersectionality lens, to: explore and compare, by location and time, survey and qualitative data on changing needs for social, health and well-being outcomes relate coping strategies/solutions to these explore formal and informal network issues/affordances gain insights from synthesising our data contextualise and explore transferability of findings co-create outputs with stakeholders. Design Mixed-methods, asset-based, underpinned by embodiment disability models and intersectionality, integrating three strands: (secondary): analysis of existing cohort/panel data, literature review (primary: quantitative): new survey (n = 4326), three times over 18 months (primary: qualitative): semistructured interviews (n = 271), interviewee co-create workshops (n = 104) 5 and 10 months later, mixed stakeholder co-design workshops (n = 30) for rapid-impact solutions to issues, key informant interviews (n = 4). …”
Get full text

Developing a Nomogram for Predicting the Probability of Shoulder Redislocation after the First Episode in Young Patients by Chih-Kai Hong, Chin Kuo, Chia-Li Chang, Wei-Ren Su, Ta-Wei Tai

“…Materials and Methods: With the use of a nationwide administrative database, patients aged 13–50 years with a diagnosis of primary shoulder dislocation receiving closed reduction from January 1, 2000, to December 31, 2013, were extracted. …”
Get full text

Review of carbon emission accounting methods in coal enterprises by Yurong ZHENG, Wenbin SUN, Shouhang DU, Linye ZHU, Yuqi HUANG

“…Carbon emission accounting of coal enterprises is the foundation and prerequisite for formulating reasonable carbon emission reduction measures. Scholars in China and abroad have proposed and adopted many methods to account for the carbon emissions of coal enterprises. …”
Get full text

A New Hyperspectral Image Identification Method Based on LSDA and OSELM by Chengjiang Zhou, Mingli Yang, Sasa Duan, Lu Shao, Zhilin Zhang, Yunfei Liu

“…The proposed method improves the generalization ability and accuracy of hyperspectral image target recognition models. …”
Get full text

Temporal Reduction in Chronotropic Index Predicts Risk of Cardiovascular Death Among Healthy Middle‐Aged Men: a 28‐Year Follow‐Up Study by Kristian Engeseth, Christian Hodnesdal, Irene Grundvold, Knut Liestøl, Knut Gjesdal, Sverre E. Kjeldsen, Jan E. Erikssen, Johan Bodegard, Per Torger Skretteberg

“…Cox proportional hazard regression models were used to estimate risks and adjusted for classical cardiovascular risk factors. …”
Get full text

Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

“…Furthermore, this reduction is achieved while maintaining competitive model performance, demonstrating that the selected features remain effective for the learning task. …”
Get full text

Comparative Analysis on Modelling Approaches for the Simulation of Fatigue Disbonding with Cohesive Zone Models by Johan Birnie, Maria Pia Falaschetti, Enrico Troiani

“…Adhesively bonded joints are essential in the aeronautical industry, offering benefits such as weight reduction and enhanced sustainability. However, certifying these joints is challenging due to unreliable methods for assessing their strength and the development of predictive models for fatigue-driven disbonding remains an ongoing effort. …”
Get full text

An interpretable integrated machine learning framework for genomic selection by Jinbu Wang, Jia Zhang, Wenjie Hao, Wencheng Zong, Mang Liang, Fuping Zhao, Longchao Zhang, Lixian Wang, Huijiang Gao, Ligang Wang

“…In this study, we conducted a comprehensive analysis comparing the performance of various ML models, along with investigations into parameter optimization, dimensionality reduction, feature selection, and the “black box” problem. …”
Get full text

Efficient planning and optimization of integrated energy system considering double uncertainty of source and load by LI Aiwu, DI Liang, DONG Jie, TIAN Zhe, WANG Yi, NIU Jide

Get full text

Stock return forecasting based on the proxy variables of category factors by Yuan Zhao, Xue Gong, Weiguo Zhang, Weijun Xu

“…Additionally, the proposed method exhibits a more robust and prominent prediction performance than competing models such as single-category-factor-based random forest models, dimension-reduction, and forecast-combination methods. …”
Get full text

Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

“…Through a grid search, the stability of the methods over a broad model parameter space is confirmed, revealing a correlation between the level of data preprocessing and the resulting clustering quality. …”
Get full text