Energy-Accuracy Trade-Offs for Resistive In-Memory Computing Architectures by Saion K. Roy, Naresh R. Shanbhag

“…Resistive in-memory computing (IMC) architectures currently lag behind SRAM IMCs and digital accelerators in both energy efficiency and compute density due to their low compute accuracy. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…The rapid growth in wireless device usage has intensified the demand for spectrum resources, leading to inefficiencies in traditional resource allocation methods. Cognitive Radio Networks (CRNs) address this by enabling secondary users (SUs) to access licensed spectrum bands of primary users (PUs) without compromising their Quality of Service (QoS). …”
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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

“…According to its purpose, the research method is applicable, qualitative-quantitative in terms of implementation, and survey in nature. …”
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Diversified Cropping Modulates Microbial Communities and Greenhouse Gas Emissions by Enhancing Soil Nutrients by Zhongyan Wang, Huaqiang Xuan, Bei Liu, Hongfeng Zhang, Tongyan Zheng, Yunxia Liu, Luping Dai, Yi Xie, Xianchao Shang, Li Zhang, Long Yang, Sitakanta Pattanaik, Ling Yuan, Xin Hou

“…In order to maximize the effective production methods of crop rotation and intercropping, and to increase the efficiency of resource usage, this paper examines the development of research and practice on two cropping patterns worldwide.…”
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Influence of Physicochemical Properties of Oil Sludge on Syngas Production for Energy Applications by Hiago Oliveira, Isabela Pinheiro, Ana Ramos, Osvaldo Venturini, Adriano Mariano, York Santiago

“…Subsequently, this syngas was used in gas turbine models with GasTurb software 14.0, achieving electrical output and thermal efficiency of 66.9 kW and 22.4%, respectively. …”
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Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study by Ningkun Xiao, Ningkun Xiao, Xinlin Huang, Yujun Wu, Baoheng Li, Wanli Zang, Khyber Shinwari, Khyber Shinwari, Irina A. Tuzankina, Valery A. Chereshnev, Valery A. Chereshnev, Guojun Liu

“…However, a systematic overview identifying current statuses, emerging trends, and future research hotspots is lacking.MethodsThis study applied bibliometric analysis methods to systematically evaluate the global research landscape of AI applications in allergy and immunology. …”
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Effects of fermented bamboo fiber on intestinal health and fecal pollutants in weaned piglets by Yubiao Jia, Yubiao Jia, Qiuming Huang, Qiuming Huang, Rui Song, Rui Song, Yanling Tang, Yanling Tang, Mengxin Feng, Mengxin Feng, Jianjun Lu, Jianjun Lu

“…IntroductionWeaning stress adversely affects piglet growth and development, thereby reducing the economic efficiency of pig farming operations. Furthermore, pig feces are a major source of environmental pollution, underscoring the need for effective strategies to mitigate fecal output at its source.MethodsThis study investigated the effects of dietary supplementation with fermented bamboo fiber (FBF) on growth performance, intestinal barrier integrity, gut microbiota composition, and fecal pollutant levels in weaned piglets. …”
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Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

“…This study involves leveraging the efficiency and effectiveness of these algorithms in geotechnical engineering applications, offering a promising alternative to traditional oedometer testing methods. …”
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Using Crawlers for Targeted Data Extraction from a Local Multi-File Database by Alexandru ANGHELESCU, Ciprian-Viorel STUPINEAN, Ariana-Anamaria CORDOȘ

“…Future work should explore compliance with data protection regulations, such as GDPR, and methods to ensure responsible data use. Conclusion: Besides the usefulness of crawlers in extracting email addresses, they prove their efficiency while dealing with the data gathering part of the research. …”
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Structure of associative heterarchical memory by R. V. Dushkin, V. A. Lelekova, V. Y. Stepankov, S. Fadeeva

“…While the methods of the ascending paradigm are difficult to interpret as natural language outputs, those applied according to the descending paradigm make it difficult to actualize information. …”
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Evaluation of Sustainable Transportation in 25 European Countries Using GRA and Entropy MABAC by İbrahim Miraç Eligüzel, Nazmiye Eligüzel

“…The correlation analysis produced a coefficient of 0.8218, which is near 1 and implies a substantial correlation between the outcomes generated by GRA and entropy-MABAC, indicating that the outputs from both approaches are consistent. The findings indicate that the two methods are reliable and yield similar results.…”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…Although the challenges to develop methods to efficiently process (remanufacture, resize, recondition) used components into new products while securing quality standards, safety requirements and economic viability exist; cascading reuse can help to overcome barriers related to public perception and consumption of used products. …”
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Elucidating linear programs by neural encodings by Florian Peter Busch, Florian Peter Busch, Matej Zečević, Kristian Kersting, Kristian Kersting, Kristian Kersting, Kristian Kersting, Devendra Singh Dhami

“…LPs are mostly considered white-box and thus assumed simple to explain, but we argue that they are not easy to understand in terms of relationships between inputs and outputs. To mitigate this rather non-explainability of LPs we show how to adapt attribution methods by encoding LPs in a neural fashion. …”
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Turning Waste into Taste: Effective Upcycling of By-Products for Innovative Food Solutions§ by Swapna Sree Meduri, Sujatha Mudawath, Prabhakar Butti, Soujanya Kanneboina, Sucharita Devi Tattepalli, Supraja Thoomati, Neela Rani Rathod, Aparna Kuna, Krishna Lavuri, Srinivasa Chary Darshanoju, Kanmani Kalaivanan

“…The sustainable valorisation of food waste offers numerous benefits, such as reducing waste output, generating revenue and promoting resource efficiency. …”
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Structural Simulation Model Updating Based on Improved MCMC Algorithm and Surrogate Model by MIAO Ji, DUAN Liping, LIU Jiming, LIN Siwei, ZHAO Jincheng

“…To enhance the accuracy of finite element model simulation, a model updating method based on Bayesian theory is proposed, and the updating efficiency is improved by integrating improved Markov chain Monte Carlo (MCMC) algorithm and surrogate model. …”
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Investigation of Engine Lubrication Oil Quality Using a Support Vector Machine and Electronic Nose by Ali Adelkhani, Ehsan Daneshkhah

“…Monitoring the quality of engine oil improves engine efficiency and reduces engine maintenance costs. Several methods have been proposed for this purpose; however, most of them take too long to test oil quality. …”
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Spatiotemporal differentiation and evolution trend of green and low-carbon development performance in the National Major Strategic Regions by CHEN Minghua, SHI Nan, ZHANG Bianxiu, XIE Linxiao

“…[Objective] The purpose of this study was to evaluate the performance of green and low-carbon development in the Major Strategic Regions of China, analyze its spatiotemporal differentiation characteristics and dynamic change, and provide a scientific basis and decision-making reference for promoting high-quality regional development in a coordinated manner. [Methods] Based on the Global-Luenberger index of the super-efficiency EBM model, this study scientifically evaluated the green and low-carbon development performance of China’s Major Strategic Regions from 2012 to 2020. …”
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Systematic review on the cost of seasonal malaria chemoprevention (SMC) by Anika Ruisch, Miranda Iodice, Ishani Mathur, Sara Harris, Damian G. Walker, Richmond Owusu, Justice Nonvignon, Colin Gilmartin

“…Studies with defined costing methodologies and cost output measures were included, excluding those relying solely on mathematical modeling. …”
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Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study by I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin

“…Such parameters as stroke volume, cardiac index, cardiac minute output, circulatory efficiency were established to be significantly higher, whereas diastolic blood pressure, mean arterial pressure, cardiovascular index — lower in individuals with activation of the sympathetic part of the autonomic division of the peripheral nervous system. …”
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Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

“…The findings of this study suggest that the integration of intelligent optimization algorithms with LSSVM offers a promising alternative to conventional methods for predicting the mass transfer coefficient in RPB systems, thereby enhancing the efficiency and reliability of CO2 absorption processes.…”
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