Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review by Jade Basem, Racheed Mani, Scott Sun, Kevin Gilotra, Neda Dianati-Maleki, Reza Dashti

“…In this review, we identify some of the widely utilized and upcoming AI/ML algorithms for some of the most common cardiac sources of stroke, strokes of undetermined etiology, and cardiac disease secondary to stroke. …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…By utilizing these sophisticated techniques, the path toward enhanced sustainability in building management becomes increasingly viable. …”
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Advanced Microgrid Systems: Bridging the Gap Between Renewable Energy Integration, Stability, and Scalable Deployment - A Review by Bashiru Olalekan Ariyo, Lambe Mutalub Adesina, Olalekan Ogunbiyi

“…Key results indicate that 75% of reviewed studies emphasize control techniques for RES stability, while 90% utilize tools like MATLAB Simulink for MG modeling. …”
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Real Time Fractional Robust Adaptive Scheme for Frequency Regulation in Double Area Hybrid Power System With Renewables by Ahmed Ragab, Dalia Allam, Ahmed F. Zobaa, Hazem Ali Attia

“…This robust-adaptive controller has utilized output feedback approach that requires only the output state without detailed system model information. …”
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Comprehensive optimization of active and reactive power scheduling in smart microgrids by accounting for line transmission losses using genetic algorithm by F.Z. Zahraoui, H.E. Chakir, M. Et-taoussi, H Ouadi

“…Smart microgrids face increasingly complex challenges in providing optimal power flow due to the integration of intermittent renewable energy sources, reactive power demand, and transmission line losses. …”
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Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…Our participants emphasized obstacles related to molecular data access, clinical utility, and guidelines. The availability of reliable and well-curated data to train and validate machine learning algorithms and integrate multiple data sources were described as constraints yet necessary for future clinical implementation. …”
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A model for predicting marine shale gas sweet spots based on relative sea-level changes and its application by Hongyan Wang, Zhensheng Shi, Xi Yang, Qun Zhao, Changmin Guo

“…Gas-bearing shales have become a major source of future natural gas production worldwide. …”
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Callerya Atropurpurea shells derived nitrogen doped carbon quantum dots of electrodes for symmetrical and asymmetrical supercapacitors by Abdulrahman Oyekanmi Adeleke, Mohd Arif Dar, Temitope T. Dele-Afolabi, R. C. Omar, Rasykin Roslan, Akil Ahmad, Ebrahim Mahmoudi, Chua Siew Fen, Ali Orozi Sougui, Mohammed B. Alshammari

“…Abstract Callerya Atropurpurea shells were utilized as activated carbon precursors in a one-stage activation process at 700 °C using H2SO4, NaOH and KOH as activating agents. …”
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Cell density quantification of high resolution Nissl images of the juvenile rat brain by Julie Meystre, Jean Jacquemier, Olivier Burri, Csaba Zsolnai, Nicolas Frank, João Prado Vieira, Ying Shi, Ying Shi, Rodrigo Perin, Daniel Keller, Henry Markram, Henry Markram

“…The pipeline improved the efficiency and reliability of cell density quantification while accurately assigning cortical layer boundaries. …”
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A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning by Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi

“…The proposed framework could be further utilized for future large-scale network optimization practices.…”
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Achieving High-Quality Effluent and Low-Carbon Emission through Coupling Fluidized Pellet Bed and Capacitive Deionization by Dingkun LUO, Peipei TONG, Zhihua LI, Tianlong REN, Chengjian YANG, Xiaochang WANG

“…Therefore, the study explores a novel low-carbon and high-efficiency wastewater treatment technology, providing a new approach for developing the next-generation of green, high-efficiency, and low-carbon wastewater treatment processes.…”
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Weighting Optimization for Fuel Cell Hybrid Vehicles: Lifetime-Conscious Component Sizing and Energy Management by Xuanyu Xiao, Chen Shu, Huaiwei Dong, Yujun Tang, Jinfeng Feng, Hao Yuan, Shuzhan Bai, Sipeng Zhu, Guoxiang Li

“…A unified cost function is proposed, combining fuel economy and system durability through a weighting coefficient, based on a comprehensive model of the hydrogen consumption and degradation characteristics of fuel cells and batteries. Utilizing the dynamic programming (DP) algorithm, the total cost is optimized to derive the optimal weighting factors and component sizing, effectively addressing the multi-objective optimization problem and balancing efficiency and durability. …”
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A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models by Peipei He, Taoxing Shen, Yafei Wang, Dantong Zhu, Qingfeng Hu, Hui Li, Weibo Yin, Yi Zhang, Ang Yang

“…Hence, experiments are conducted in three modules: (1) Determination of watershed environmental element sample types. (2) Semi-automated annotated sample production method. This study utilizes the Random Forest classifier (RF) and Segment Anything Model (SAM) to create label sets, replacing open-source land cover datasets to achieve superior watershed-environment segmentation results. (3) Comparison of different neural network segmentation capabilities. …”
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A Comprehensive Review of Plasma Cleaning Processes Used in Semiconductor Packaging by Stephen Sammut

“…This paper provides various tables which provide the reader with comparative assessments of the various plasma sources and gases used. Scoring mechanisms are also introduced and utilized in this paper. …”
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Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

“…For many low-cost or residue-based biomass feedstocks, the transportation cost represents a substantial portion of the total delivered price, often dominating the overall feedstock cost—especially when sourced from widely distributed or small-scale suppliers. …”
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Land Use Optimization and Simulation in the Dongjiang River Basin with a Low-Carbon Orientation by He Yanhu, Wu Luyan, Lin Zeyu

“…It is evident that the carbon sink maximization scenario achieved a better low-carbon effect than the carbon emission minimization scenario, primarily because of the larger proportion of forest land. (3) The Dongjiang River Basin should enhance the utilization efficiency of cultivated and construction land, converting underutilized and unutilized land into areas with high carbon sequestration capacity, such as forests, or into land with lower carbon emissions to promote sustainable economic development. (4) Adding the location information of the administrative centers to the CA-Markov model can effectively improve the simulation accuracy of the model. …”
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Reinforcement of smart campus grid infrastructure for sustainable energy management in buildings across horizon 2030 by Mahnoor Abbasi, Syed Ali Abbas Kazmi, Muhammad Zubair Iftikhar, Mustafa Anwar, Muhammad Hassan, Thamer A.H. Alghamdi, Mohammed Alenezi

“…Electricity consumption expenses take a significant amount of an educational institution's budget. A major part of utility production in Pakistan depends on non-renewable sources of energy, which have a bad impact on the environment, while their production cost is very high. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…Experimental validation was conducted using the actual production dataset sourced from the coal mine and the Intelligent Maintenance System (IMS) dataset. …”
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Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…This paper introduces a novel approach that enhances the accuracy of CRE estimation by constructing computationally efficient, long-term gridded surface cloud fraction radiative kernels (GCF-CRKs) and integrating refined DSSR estimates and a high-precision cloud fraction (CF). …”
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Unveiling the shadows: obstacles, consequences, and challenges of information opacity in healthcare systems by Majid Alizadeh, Nazila Azizi, Samireh Mahdavi, Fouad Baghlani

“…A comprehensive search was conducted across major databases such as PubMed, Scopus, and Google Scholar, utilizing relevant keywords. Selection criteria focused on the relevance, quality, and timeliness of the sources, leading to a critical analysis of the extracted data through thematic synthesis. …”
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