Coal‐wall spalling prevention mechanism using advance‐grooving pressure relief in the large‐mining‐height working face of a shallow coal seam by Wang Hongwei, Feng Li, Zhao Zhouyan, Li Yanjun, Cao Peipei, Jiao Jianqiang, Jiang Baolin, Liu Yong

“…When the grooving height‐depth ratio k is 0.75, the peak value of the abutment pressure moves 5.57 m to the front of the working face, and the pressure relief effect is the best. …”
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FENOMENA SPASIAL PADA FLY-OVER URIP SUMOHARJO KM.4 MAKASSAR by Muhammad Ajwad Muzdar, Bambang Heryanto, Arifuddin Akil

“…The third element of the actor, space and time in an event constantly moved, changed, shifted and always be one whole unity. …”
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Rancang Bangun Protokol Perutean SDGR+R pada Vehicular AD-HOC Network Berbasis Arah by Eliyah Acantha Manapa, Sri Wahjuni, Shelvie Nidya Neyman

“…Each node in a VANET has high mobility so that this type of communication network is a temporary network because the node moves on the track with dynamic direction and speed. …”
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Knowledge of Preconception Care and Associated Factors among Healthcare Providers Working in Public Health Institutions in Awi Zone, North West Ethiopia, 2019: Institutional-Based... by Mahlet Million Bekele, Natnael Atnafu Gebeyehu, Mezgebu Mihret Kefale, Simachew Animen Bante

“…Candidate variables at bivariate logistic regression with a p value > 0.2 were moved to multivariable logistic regression models, and statistical significance was declared at p value < 0.05 with 95% confidence interval. …”
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Actual and optimal abundance of the main ungulate species in forestry and hunting districts of Ukraine by Ihor Sheihas, Ihor Gulyk

“…The actual OA increases in the order of Crimea (7.3) → Steppe (34.9) → Forest-Steppe (42.4) → Carpathians (50.5) → Polissia (112.1 thousand individuals), i.e. it changes, albeit gradually, by more than 15 times when moving from southern to northern zones. Within each zone, transitions from a quality score of 4.0 to 1.5 give an increase in OA by 3.5–4.0 times. …”
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Sistem Object Tracking pada Quadcopter Menggunakan Segmentasi Citra dengan Deteksi Warna HSV dan Metode Regresi Linier Berbasis Raspberry Pi by Fahmi Erza, Hurriyatul Fitriyah, Eko Setiawan

“…Therefore, developing systems that allow devices to perform surveillance tasks such as detecting and tracking moving objects will allow more sophisticated tasks to be applied to robots in the future. …”
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Effects of different doses of remimazolam on the quality of sedation and cardiac function in elderly patients: a double-blind randomised controlled study by Liu Minghong, Qizhu Feng, Huichun Chen, Ju Li, Jun Shi

“…However, there was no statistically significant difference (P &gt; 0.05) in BIS values between Group M and Group H; At T1 and T2, the cardiac output and stroke volume in Group M were higher than those in Group H, while the systemic vascular resistance in Group M was lower than that in Group H, with statistically significant differences (P &lt; 0.05); The incidences of bucking when moving and hiccup in Group L were higher than those in Group M and Group H, with statistically significant differences (P &lt; 0.05). …”
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Gait kinematics at trot before and after repeated ridden exercise tests in young Friesian stallions during a fatiguing 10-week training program by Esther W. Siegers, Jeanne I. M. Parmentier, Jeanne I. M. Parmentier, Marianne M. Sloet van Oldruitenborgh-Oosterbaan, Carolien C. B. M. Munsters, Filipe M. Serra Bragança

“…Before and after each SET, stallions’ locomotion was measured with seven inertial sensors (EquiMoves, 200 Hz) during in-hand trot on a straight line. …”
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Solar Energy Forecasting Framework Using Prophet Based Machine Learning Model: An Opportunity to Explore Solar Energy Potential in Muscat Oman by Mazhar Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, Touqeer Ahmed, Sohaib Tahir Chauhdary, Muhammad Salman Saeed

“…In this research, different models, named Linear Regression (LR), Support Vector Machine (SVR), KNN Regressor, Decision Forest Regressor, XGBoost Regressor, Neural Network (NN), Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Random Forest Regressor, Categorical Boosting (CatBoost), Deep Autoregressive (DeepAR), and Facebook Prophet, are trained and tested under both identical features and a training–testing ratio. …”
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The Relationship between Russian Identity and Political Polarization: The Role of Secure National Identification and National Narcissism by O.A. Gulevich, S.S. Kosimova

“…The criterion for political polarization was whether participants believed the country was moving in the right or wrong direction. Participants appraised the extent to which fellow citizens with these views exhibit certain traits; expressed emotions towards them; evaluated their willingness to interact and collaborate on common issues and considered the acceptability of restricting their rights and opportunities. …”
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A Large-Scale Agricultural Land Classification Method Based on Synergistic Integration of Time Series Red-Edge Vegetation Index and Phenological Features by Huansan Zhao, Chunyan Chang, Zhuoran Wang, Gengxing Zhao

“…Using Shandong Province, northern China’s agricultural heartland, as a case study, we first established a foundation with time series red-edge vegetation indices (REVI) from Sentinel-2 imagery, uniquely combining the normalized difference red edge index (NDRE₇₀₅) and plant senescence reflectance index (PSRI). Moving beyond conventional time series analysis, we innovatively amplified key temporal characteristics through newly designed spatial feature parameters (SFPs) and phenological feature parameters (PFPs). …”
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Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review by Lamiece Hassan, Alyssa Milton, Chelsea Sawyer, Alexander J Casson, John Torous, Alan Davies, Bernalyn Ruiz-Yu, Joseph Firth

“…The digital phenotyping field in psychiatry would benefit from moving toward agreed standards regarding data descriptions and outcome measures and ensuring that valuable temporal data provided by wearables are fully exploited. …”
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Presenting the model of portfolio management in investment funds based on behavioral financial variables by Seyed Mohammad Hadi Shahamat, Mahdi Mohammad Bagheri, Ali Raispour Rajabali, Mohsen Zayandeh Roudi

“…The results showed that according to the coefficient of variation and the correlation test, the results indicate that the indicators of moving average, exponential moving average, and relative power, compared to other indicators, are more indicative of the behavioral reactions of investors. …”
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Effect of different restorative design and materials on stress distribution in cracked teeth: a finite element analysis study by Ting Liu, Yinghao Huang, Yue Li, Jiali Meng, Yajing Liu, Yuan Wei, Yequan Huang, Qian Zhou, Weidong Yang, Fuhua Yan, Xiang Wang, Yanan Zhu

“…Results Compared to the base model, all restorations showed that high-stress concentration moved from the lower margin of the crack area towards the top of the crack area. …”
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The Wayqecha Amazon Cloud Curtain Ecosystem Experiment: A new experimental method to manipulate fog water inputs in terrestrial systems by Daniel B. Metcalfe, Darcy F. Galiano Cabrera, Luis Miguel Alvarez Mayorga, Roxana Sacatuma Cruz, Daniela Corrales Alvarez, Blanca Rosa Espinoza Otazu, Walter Huaraca Huasco, Jimmy R. Chambi, Maria E. Ezquerra, Beisit L. Puma Vilca, Mark Mulligan, Matthew A. Vadeboncoeur, Heidi Asbjornsen, Paulo R. L. Bittencourt, Aline B. Horwath, David C. Bartholomew

“…The curtains divert and intercept airborne water droplets in fog moving upslope, thereby depriving a ~420 m2 patch of forest immediately behind the curtains of this water source. …”
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Data-Driven Decision Support Tool Co-Development with a Primary Health Care Practice Based Learning Network [version 2; peer review: 2 approved] by Daniel Lizotte, Eric Sutherland, Paulino Lucamba, Sandra Fitzpatrick, Kelly Angevaare, Sara Bhatti, Jennifer Rayner, Jacqueline Kueper

“…Methods We employ an iterative approach to problem identification and methods development for the decision support tool, moving between discussion sessions and case studies with CHC electronic health record (EHR) data. …”
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Syrian refugee and diaspora healthcare professionals: Case studies from the eastern mediterranean and European regions by Aula Abbara, Munzer Alkhalil, Kinan Wihba, Omer Abdrabbuh, Diana Rayes, Andrew Ghobrial, Manar Marzouk, Fadi Halabi, Mahmoud Hariri, Abdulkarim Ekzayez

“…Initially, many stayed in the eastern mediterranean region; however, as the conflict became increasingly protracted and employment policies for Healthcare Professionals (HCPs) became increasingly restrictive, some moved elsewhere, particularly to Germany and the United Kingdom, both of which have aimed to capitalise on both refugee and diaspora HCPs to support human resources gaps in their health systems. …”
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Game-thinking; utilizing serious games and gamification in nursing education – a systematic review and meta-analysis by Mats Nylén-Eriksen, Marko Stojiljkovic, Daniela Lillekroken, Katrin Lindeflaten, Elisabeth Hessevaagbakke, Tone Nygaard Flølo, Olav Johannes Hovland, Ada Marie Svarstad Solberg, Sylvia Hansen, Ann Kristin Bjørnnes, Christine Tørris

“…Abstract Background The digital shift in higher education is moving from teacher-focused models to active learning with digital technologies, including the integration of game-based learning strategies. …”
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Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision by Florencia B. Rossi, Nicola Rossi, Gabriel Orso, Lucas Barberis, Raul H. Marin, Jackelyn M. Kembro

“…Lastly using the YOLO output, we estimated each bird's average social distance, locomotion speed, and the percentage of time spent moving. No behavioral differences associated with tag color were detected. …”
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Improving education for incarcerated children and young people: policy recommendations from three transnational projects in Europe by Adeela ahmed Shafi

“…It was also possible to show a statistically significant increase in social and emotional competencies (social awareness, responsible decision-making, self-awareness, self-management, relationship skills) in participating country settings (AG4C) and to engage children and young people with a Skills4Life Curriculum in preparation for moving back into the community. Research limitations/implications – Custodial and other youth justice settings vary widely in different jurisdictions with varying levels of resource. …”
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