Multifractal Characterization of Pore Heterogeneity and Water Distribution in Medium- and High-Rank Coals via Nuclear Magnetic Resonance by Huan Liu, Shasha Zhang, Yu Qiao, Danfeng Xie, Long Chang

“…Minerals enhance pore connectivity but suppress complexity, while moisture and ash contents show negligible impacts. These findings provide a theoretical reference for CBM exploration, especially in optimizing fluid transportation and CBM production strategies and identifying CBM sweet spots.…”
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Enhancing Effective Scanning Techniques for Digital Impression in Neonates with Cleft Lip and/or Palate: A Laboratory Study Investigating the Impact of Different Scanners, Scanning... by Jyotsna Unnikrishnan, Mahmoud Bakr, Robert Love, Ghassan Idris

“…<b>Results:</b> The findings showed comparable accuracy in capturing alveolar cleft depth with the three-scanning tip (<i>p</i> > 0.05). …”
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Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving by Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash

“…Deep reinforcement learning (DRL) has emerged as a strong tool for dealing with such uncertainty, yet current DRL models struggle to ensure safety and optimal behaviour in indeterminate settings due to the difficulties of understanding dynamic reward systems. …”
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BiLSTM-Kalman framework for precipitation downscaling under multiple climate change scenarios by Melika Jahangiri, Mahdi Asghari, Mohammad Hossein Niksokhan, Mohammad Reza Nikoo

“…We applied our methodology to Tehran, Iran, and systematically compared and ranked the performance of different CMIP6 projections, with the best performing model being MIROC (NSE: 0.902, R2: 0.91, RMSE: 7.76). The optimized BiLSTM network alone demonstrated strong performance (R2: 0.638, KGE: 0.684), with the adaptive Kalman filter dynamically adjusting its parameters according to precipitation intensity. …”
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Assessment of Mechanical Behaviors of Sand Cast Al-Mg7-Cu2 Aluminum Alloy in Tilt and Vertical Gravity Casting Conditions by K.A. Gül, H. Sahin, D. Dispinar

“…We evaluate three melt treatment parameters: no degassing, small bubble degassing, and large bubble degassing. …”
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Microcontroller-Driven Battery Management in Hybrid Energy Systems: A Systematic Review of Applications, Control Strategies, and Emerging Trends by Ripfumelo Humphrey Malele, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…These systems monitor and control critical parameters such as voltage, current, temperature, and state of charge to optimize battery performance and lifespan. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…This work provides critical support for optimizing wastewater treatment technologies and developing water resource management policies. …”
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Anion-Exchange Membranes’ Characteristics and Catalysts for Alkaline Anion-Exchange Membrane Fuel Cells by Fa-Cheng Su, Hsuan-Hung Yu, Hsiharng Yang

“…They were verified through several technical parameters examination and cell performance comparison for the optimal selection of AMEs. …”
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Heavy metal ions removal from an aqueous solution using an adsorbent derived from walnut shell: Equilibrium, kinetic and thermodynamic studies by Anna Ivanchenko, Olga Soroka, Dmytro Yelatontsev, Vladimir Panasenko

“…A modified adsorbent for the removal of heavy metal ions (HMI) Pb2+, Cd2+, Cu2+, Ni2+, and Co2+ was synthesized from carbonized walnut shells (Juglans regia L.) pretreated with sodium carbonate (Na2CO3). By selecting the optimal parameters for the chemical activation of the raw materials (temperature, time, and concentration of Na2CO3), a 19-fold increase in the specific surface area and a 14-fold increase in iodine number were achieved. …”
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Integrating machine learning and reliability analysis: A novel approach to predicting heavy metal removal efficiency using biochar by Mohammad Sadegh Barkhordari, Chongchong Qi

“…This research introduces an advanced machine learning (ML) framework, utilizing deep forest (DF) algorithms, to predict and optimize the efficiency HM removal through biochar applications. …”
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Evaluation of IFN-γ ELISA assays for quantifying interferon-gamma in Canadian bison by Dr Josephine Chileshe, Dr Todd Shury, Dr Jeffrey M Chen

“…Results: The optimized assays demonstrated linear responses to recombinant bovine and endogenous bison IFN-γ (range:2-125 pg/ml; R2: 0.99), with recovery and reproducibility within the acceptable range, and a low limit of quantification of 1 pg/ml. …”
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The usefulness and utilisation of Lu’s retractor for unilateral biportal endoscopic discectomy: a retrospective cohort study by Qing-zhou Zhang, Da-wei Zhang, Hui-lan Wen, Tao Chen, Jun-quan Chen, Hai Lu

“…Abstract Background A novel endoscopic instrument, Lu’s retractor, was developed to address the recurrent issue of limited visualisation during unilateral biportal endoscopic (UBE) spinal surgery. Engineered to optimize the surgical field by mitigating soft tissue interference, this device aims to enhance operative precision and efficiency. …”
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Dynamic Behavior of Lighting GFRP Pole Under Impact Loading by Mahmoud T. Nawar, Ahmed Elbelbisi, Mostafa E. Kaka, Osama Elhosseiny, Ibrahim T. Arafa

“…Material strength and anchor bolt configuration showed minimal impact. These findings underscore the importance of optimizing pole geometry to enhance crashworthiness. …”
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Field Investigation of Thermal Comfort and Indoor Air Quality Analysis Using a Multi-Zone Approach in a Tropical Hypermarket by Kathleen Jo Lin Teh, Halim Razali, Chin Haw Lim

“…Meanwhile, the intermediate retail zone maintained near-optimal conditions (PPD 12%). Although findings are specific to this hypermarket, the integrated zone-based monitoring provides empirical insights that support the enhancement of IEQ assessment approaches in tropical commercial spaces. …”
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Non-invasive brain stimulation contributing to postural control with and without stroke: a systematic review and meta-analysis by Sangha Cha, Jayoung Choi, Changwon Moon, Kanghee Cho

“…These findings reveal differential response patterns between populations and stimulation parameters, suggesting enhanced neuroplastic potential in stroke survivors. …”
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Flourishing the dimensions of children’s connectedness to nature and the school built environment: a mixed methods approach by Sonali Walimbe, Nandineni Rama Devi, Sumita Rege, Shantanu Chitgopkar, Vidyut Rajhans

“…Findings The review of articles identified 21 factors with a keen emphasis on SDG target 11.7. …”
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Harnessing Polyethylene Glycol 3350 for Enhanced Peripheral Nerve Repair: A Path to Accelerated Recovery by Erdinç Tunç, Ejder Saylav Bora, Oytun Erbaş

“…<i>Conclusions</i>: These findings suggest PEG as a potential adjunct therapy for peripheral nerve injuries. …”
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Impact of Periodontal Biotype on the Long-Term Esthetics of Implant-Supported Restorations: A 5-Year Prospective Study by Anuj Singh Parihar, Nimisha Nandanan, Vino Tito V Kurien, Subhash Bandgar, Gaurav Patri, Rashmi Laddha, Santosh kumar

“…Changes in soft tissue parameters, including gingival recession, papilla height, and mucosal level changes, were also recorded. …”
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Methodology for Assessing the Level of Greenhouse Gas Emissions in Agricultural Crops Production by N. I. Dzhabborov, A. P. Mishanov, A. M. Zakharov, A. M. Dobrinov

“…To reduce greenhouse gas emissions, it is necessary to develop technical and technological solutions that optimize the indicators utilized in this methodology.…”
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Single-Center Clinical Analysis of Traumatic Thoracic Aortic Injuries: A Retrospective Observational Study by Dae Sung Ma, Yang Bin Jeon

“…Demographics, physiological data, injury mechanism, hemodynamic parameters associated with the thoracic injury according to chest computed tomography (CT) findings, the timing of the intervention, and clinical outcomes were reviewed. …”
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