Low carbohydrate diets, glycaemic control, enablers, and barriers in the management of type 1 diabetes: a mixed methods systematic review by Janine Paul, Rati Jani, Sarah Thorning, Mila Obucina, Peter Davoren, Catherine Knight-Agarwal

“…Abstract Background Medical nutrition therapy is fundamental for diabetes management, however there is a lack of evidence supporting an ideal recommended carbohydrate intake for maintaining optimal glycaemia in individuals living with type 1 diabetes (T1D). …”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…Initially, thermography images are chosen from online sources. The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
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Carbon emission accounting for peak-shaving LNG plant and suggestions on emission reduction countermeasures by Hengjin HU, Dongming ZHANG, Xingxing GAO, Dawei WANG

“…To devise viable emission reduction solutions, it is crucial to precisely monitor the carbon emission levels throughout the LNG industry supply chain and comprehensively grasp the factors influencing them. Methods Following the typical natural gas liquefaction process, this study identified and categorized the carbon emission sources at peak-shaving LNG plants, utilizing a three-level classification method consisting of production systems, industrial processes, and emission facilities, and analyzed the input-output relationships within the basic production system. …”
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Current situation of comprehensive utilization of coal gangue and exploration of ways of high-value utilization:A case study of China National Coal Group Corporation by Lei ZHU, Wenzhe GU, Zhiwei HE, Chengyong LIU, Mengye ZHAO, Tianqi SONG, Yun ZHANG, Yuyi WU, Zhicheng LIU, Xinfu ZHANG, Peng ZHANG, Fengtian SHENG

“…However, the comprehensive utilization method lacks systematic, compound, and leading scientific utilization methods. …”
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In vitro Antimicrobial Activity, Optimization, GC-MS, and In silico analysis for Anticancer Potency of Schizophyllum commune (AVNK2), An Endophyte Isolated from Nigella sativa Seed... by Shaik Mahekal Kousar, V. Krishnaveni, Amrutha V. Audipudi

“…The optimal physicochemical parameters of culture media for enhancing bioactivity were glucose as carbon, beef extract as nitrogen sources, pH 7.0, and temperature 30 °C with 21 days of incubation. …”
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Spatial Modeling of Trace Element Concentrations in PM₁₀ Using Generalized Additive Models (GAMs) by Mariacarmela Cusano, Alessandra Gaeta, Raffaele Morelli, Giorgio Cattani, Silvia Canepari, Lorenzo Massimi, Gianluca Leone

“…A stepwise procedure was followed to determine the model with the optimal set of covariates. A leave-one-out cross-validation method was used to estimate the prediction error. …”
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Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

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Application of Carbon Quantum Dots in Food Business: A Comprehensive Review by Muhammad Sadiq Naseer, Ali Imran, Qaswaa Yousif Jameel, Ashok Kumar Bishoyi, Faiyaz Ahmed, Ahmed Elawady, Pranchal Rajput, Fakhar Islam, Tahir Zahoor, Abdela Befa Kinki, Saima Naz

“…ABSTRACT The growing demand for efficient, accurate, and affordable methods of evaluating food safety has led scholars to look into cutting‐edge analytical techniques. …”
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Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…In this research, zoning maps were prepared and the status of present and future water quality parameters of the basin were accurately estimated using a researchers software-developed application and the five interpolation methods of Kriging, S-PLUS, polynomial regression, inverse distance to power, and local polynomial; and finally the optimal method was selected through a root-mean-square error (RMSE) based cross validation approach.  …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. …”
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Neuroprotective Mechanisms of <i>Red Algae</i>-Derived Bioactive Compounds in Alzheimer’s Disease: An Overview of Novel Insights by Tianzi Wang, Wenling Shi, Zijun Mao, Wei Xie, Guoqing Wan

“…Emerging extraction technologies—including microwave- and enzyme-assisted methods—have been shown to optimize the yield and maintain the bioactivity of these compounds. …”
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Primary care experiences of family caregivers using the same medical facility as their care recipient or a different facility by Gen Nakayama, Shoichi Masumoto, Junji Haruta, Tetsuhiro Maeno

“…Abstract Background Family caregivers and care recipients do not always have the same usual source of care, which may create barriers to providing optimal care for caregivers. …”
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Results of replacing fish meal with insect protein in carp feeds by O. Deren, O. Bernakevych, L. Bobeliak, N. Hrytsyshyna, M. Koryliak

“…The results were analyzed using methods generally accepted in fish farming. The productive, morphological, hematological and antioxidant parameters of the fish body of experimental and control groups were determined. …”
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Diagnosis Method for High-Speed Train Axle Box Bearing Slight Faults Based on Improved SAE and Temperature-Vibration Fusion by XU Xiao, SONG Dongli, WANG Zifan

“…［Objective］ The operating environment of axle box bearings in high-speed train is complex and changeable, and the diagnostic accuracy of single-source signals for weak faults is insufficient. To improve the diagnostic accuracy of early weak fault of axle box bearing, it is necessary to study a diagnosis method for high-speed train axle box bearing slight fault driven by temperature-vibration feature fusion, in combination with the multi-source fault information of bearing temperature and vibration. …”
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Review on key technologies for coordinated operation of microgrid cluster by LOU Guannan, WANG Lei, LIN Da, DU Yuhua

“…With the large-scale integration of distributed renewable energy （DRE）， the operational complexity and control difficulty of microgrid cluster significantly increase. A reasonable multi-source coordinated control strategy is critical to ensuring the stable， reliable， and efficient operation of the system and is also the foundation for achieving optimal configuration and intelligent scheduling. …”
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Synthesis and optimization of low-cost metal-organic frameworks from melamine and bauxite for efficient removal of bromocresol green from water using response surface methodology by Mahdieh Chegeni, Mohanna Chegeni, Maedeh Nazari, Ghazal Ebrahim Zade

“…Sustainable chemistry is an important subject in the research area, so the metal-organic framework (MOF) was synthesized through the solvothermal method with bauxite as a natural source of metal and melamine as a ligand. …”
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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…In this paper, we propose a novel hybrid deep learning algorithm called IDLA (integrated deep learning with the Lagrangian method). This integrated approach aims to enhance the scalability, flexibility, and robustness of slicing resource allocation solutions by harnessing the high approximation capability of deep learning and the strong generalization of classical non-linear optimization methods. …”
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Simulation study of the influence of water equivalent ratio energy dependence of absorber materials on measurement of multilayer ionization chamber by GU Shuaizhe, CHEN Zhiling, LIN Ye, LIU Qi, BAI Haobo, ZOU Yuhang, LI Xiufang, LI Deming

“…BackgroundThe Multilayer Ionization Chamber (MLIC) is an instrument in rapidly measuring the proton depth dose distribution, which is crucial for enhancing the efficiency of beam commissioning and daily quality assurance in treatment rooms.PurposeThis study aims to investigate the impact of the Water Equivalent Ratio (WER) energy dependence of various absorber materials on MLIC measurements, thereby improving the accuracy of depth dose distribution measurements.MethodsBased on the fixed beam source parameters in the beam therapy room of Shanghai Advanced Proton Facility (SAPT), a physical model of MLIC was constructed using Monte-Carlo method. …”
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Revolutionizing Molecular cloning: Introducing FastCloneAssist, a Streamlined Python tool for optimizing primer design in restriction &amp; ligation-independent PCR cloning. by Pradip Kumar Singh, Michael S Donnenberg

“…FastCloning, a paradigm shift in PCR cloning, has streamlined the process by eliminating laborious, multi-step traditional methods. This innovative technique, pioneered by Li et al. (2011), utilizes overlapping PCR primers and DpnI digestion for seamless integration of insert DNA into any desired vector position, regardless of restriction sites. …”
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Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization by Amr S. Abouzied, Sarminah Samad, Azher M. Abed, Mohamed Shaban, Fahad M. Alhomayani, Shirin Shomurotova, Mohammad Sediq Safi, Raymond Ghandour, Yasser Elmasry, Albara Ibrahim Alrawashdeh

“…The significance of this study lies in its comprehensive approach, combining thermodynamic, environmental, and thermoeconomic analyses alongside thorough sensitivity evaluations. A triple optimization framework was implemented to optimize the system's performance, focusing on key metrics such as exergy efficiency, CO2 reduction rates, and levelized energy cost, utilizing the NSGA-II and the TOPSIS decision-making method in MATLAB software. …”
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