A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…A simple yet effective resource allocation model is incorporated to address the potential computational resource waste associated with dual populations, enhancing the resource utilization. …”
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A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

“…This stochastic model is aimed at generating the optimum schedules for various dispatchable generating resources such as micro-turbines, fuel cells, utility grid, energy storage devices as per the availability of the various VRE resources to meet the uncertain demand for a day-to-day microgrid operation. …”
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IndoHerb: Indonesia medicinal plants recognition using transfer learning and deep learning by Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Ahmad Hoirul Basori, Andi Besse Firdausiah Mansur, Jati Batoro

“…The rich diversity of herbal plants in Indonesia holds immense potential as alternative resources for traditional healing and ethnobotanical practices. …”
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Operating Environment Assessment of the Coalface in Underground Coal Mining Based on Analytic Hierarchy Process (AHP) and Matter-Element Theory (MET) by Jianghui He, Shiliang Liu, Wenping Li, Wei Qiao, Zhi Yang, Qiqing Wang

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Study on Resistance Loss of Fly Ash Slurry Multistage High-Pressure Grouting Pipeline Based on Fluent by Qiqing Wang, Linzhe Li, Huijie Wu, Kun Wang, Sixiang Wang

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Establishing a core outcome set for creatine transporter deficiency and guanidinoacetate methyltransferase deficiency by Zahra Nasseri Moghaddam, Emily K. Reinhardt, Audrey Thurm, Beth K. Potter, Maureen Smith, Celeste Graham, Beth H. Tiller, Steven A. Baker, Deborah A. Bilder, Regina Bogar, Jacobus Britz, Rachel Cafferty, Daniel P. Coller, Ton J. DeGrauw, Vicky Hall, Gerald S. Lipshutz, Nicola Longo, Saadet Mercimek-Andrews, Judith S. Miller, Marzia Pasquali, Gajja S. Salomons, Andreas Schulze, Celine P. Wheaton, Kayla F. Williams, Sarah P. Young, Jasmine Li, Sofia Balog, Theresa Selucky, Sylvia Stöckler-Ipsiroglu, Heidi Wallis

“…Conclusions Development of this COS illustrates a patient-centered approach for clinical trial readiness for CTD and GAMT that if utilized will make clinical trial results comparable, minimize bias in clinical trial outcome selection, and promote efficient use of resources.…”
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Phonetic minimization of the text corpus in Belarusian for the speech synthesis system training by S. I. Lysy

“…The corpus-based method, unlike previously popular compilation method, uses natural speech database that does not consist of separate specially selected elements of compilation, but represents the corpus of phonograms of natural speech. …”
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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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ECONOMIC ANALYSIS OF DEFORESTATION IMPACT ON THE YIELD OF AGRICULTURAL CULTURES IN UKRAINE by Ivan OPENKO, Oleksandr SHEVCHENKO, Ruslan TYKHENKO, Oleg TSVYAKH, Yanina STEPCHUK

“…General concept of the formation and functioning of a forecasting model of scientific and technological development of the region’s agriculture in the digital economy, which is forming in accordance with the well-known Federal program is proposed. …”
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Current approaches to assessment of the impact of the environmental contamination on cancer risk by L. G. Solenova

“…Assessment of the impact of environmental contamination on cancer risk includes: •setting research priorities on the local, regional, and on the all-Russian levels; •the selection of the research that may be maximally socially profitable; •the choice of the research method that the most adequately meets the research objectives; •systemic analysis of the planed research to determine the availability of the resources, personnel, and information; •monitoring of atmospheric pollutions with analysis of the fraction composition of the particulate matters; •coordination of available data basis on environment and the population health conditions; •the implementation of the of molecular biology to determine prenosological manifestation of carcinogenesis and development of fine and diverse research methods on relationships between the environment and cancer risk.For effective implementation of the research objectives aimed to decrease the impact of hazard factors with special reference on cancer risk in the Russian population, it is necessary: to create training personnel capable of providing epidemiologic studies, using up-to day methods, publication of methodological materials, text books, and sufficient funding of studies.…”
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EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

“…OVID (Medline, Embase, Global Health), CINAHL and SCOPUS databases, plus secondary resources, were searched until March 29, 2017. The following keywords were utilized for the systematic searching: type 2 diabetes mellitus, hyperglycemia, EZSCAN, SUDOSCAN, and sudomotor function. …”
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Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring by Nikolaos Voulgaris, Hikari Nishimura, Shingo Tamaki, Sachie Kusaka, Isao Murata

“…This was accomplished by calculating the detection efficiency and energy resolution through experimental measurements using standard gamma-ray sources and simulations using MCNP5. …”
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Analysis of environmental protection priority zones and their impacts on urban planning in small- and medium-sized cities of Indonesia by Rizal Imana, Andrea Emma Pravitasari, Didit Okta Pribadi

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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Sheep are a vital species in the global agricultural economy, providing essential resources such as meat, milk, and wool. Merino sheep (Junken type) are a key breed of fine wool sheep in China. …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…By streamlining the feature selection process, ANOVA not only enhances the performance of the models but also conserves computational resources, making the approach more efficient overall. …”
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Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs by Nagaraju Pacharla, K. Srinivasa Reddy

“…With the goal of reducing task offloading delay and improving enhanced reaction time, a VANET-based task scheduling system is proposed after selecting an optimal route in the VANET. Taking into account the limited resources of vehicle nodes, the suggested technique efficiently moves workloads to the fog computing layer. …”
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Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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THE EFFECTIVENESS OF TECHNOLOGY-BASED NON-CLINICAL COMMUNITY INTERVENTIONS TO REDUCE LONELINESS IN THE ELDERLY: A LITERATURE REVIEW by Wahyu Agustin Eka Lestari

“…Introduction: The condition of the elderly who experience various declines in biological and psychological functions can affect mobility and social contact, one of which is a sense of loneliness (loneliness). …”
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Risk Assessment and Prediction of Heavy Metal Pollution in Groundwater and River Sediment: A Case Study of a Typical Agricultural Irrigation Area in Northeast China by Shuang Zhong, Hui Geng, Fengjun Zhang, Zhaoying Liu, Tianye Wang, Boyu Song

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Evaluation of allergenic protein profiles in three Chinese high-oleic acid peanut cultivars using NanoLC-Orbitrap mass spectrometry by Xinke Yang, Haochen Bai, Lijun Yin, Jin Wang, Wentong Xue, Xin Jia

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