Polyphenol-Rich Snack Consumption during Endurance Exercise Training Improves Nitric Oxide Bioavailability but does not Improve Exercise Performance in Male Cyclists: A Randomised... by Noah Marc Adrian d’Unienville, Alison M Coates, Alison M Hill, Maximillian J Nelson, Kevin Croft, Catherine Yandell, Jonathan D Buckley

“…Compared with CON, during submaximal exercise at 70%, maximal aerobic power output AGC demonstrated higher oxygen consumption (HT: d = 0.46; T: d = 0.38, P < 0.001) and lower respiratory exchange ratio (HT: d = –0.61; T: d = –0.23, P < 0.032). …”
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Assessing adherence to standard guidelines in acute kidney injury (AKI) management: a compliance audit by Shadman Sakib Rahman, Kazi Subrina Nazneen, Sumaiya Kamal, Sm Rezwanuzzaman

“…Introduction: Acute kidney injury (AKI) is a significant global health concern, associated with high morbidity, mortality and healthcare costs.1 It is typically characterised by an abrupt rise in serum creatinine, a decrease in urine output, or both.2 Although many aetiologies of AKI can lead to severe outcomes, some forms are reversible, and a thorough understanding of the underlying pathology is crucial for guiding treatment strategies and prognosis.3 This retrospective audit evaluated adherence to both national (National Institute of Health and Care Excellence (NICE) NG148) and local Trust guidelines for AKI management, aiming to identify strengths and critical deficits, and propose targeted interventions for enhanced clinical outcomes.4,5 Materials and Methods: A total of 154 adult inpatients were identified with AKI from August to October 2024 through electronic patient records (EPRs), Sectra PACS and iLab systems. …”
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A guideline study for optimal machine learning approaches to predict the off-design performance of sCO2-PCHEs by Xin Sui, Wenqi Wang, Chunyang Liu, Peixin Dong

“…Two data-driven techniques are introduced to correlate both inputs and outputs, identifying the most pertinent parameter. …”
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Limited data based kinetic modeling and optimization of propionic acid synthesis over supported Rh/C catalyst by László Balogh, Jenő Bódis, Botond Szilágyi, Ágnes Bárkányi, Attila Egedy

“…The atom efficiency of the process is 100% with the possibility of fully separating the products and recirculating the unreacted starting materials. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…[Objective] Photovoltaic power forecasting is a key technology to improve the efficiency of solar energy utilization and reduce operating costs. …”
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Unveiling two decades of forest transition in Anamur, Türkiye: a remote sensing and GIS-driven intensity analysis (2000–2020) by Hasan Aksoy, Sinan Kaptan, Pelin Keçecioğlu Dağli, Davut Atar

“…In this context, this study examines land use and land cover (LULC) changes in forest and non-forest areas of Anamur district, located in the Mediterranean Region of Türkiye, between 2000 and 2020.MethodsUsing the intensity analysis method, which offers a detailed and efficient approach to understanding LULC changes, the study analyzes transitions at interval, category, and transition levels. …”
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Design of a Novel Decimal to Multicode Converter in QCA Technology by Farhad Fouladinia, Mohammad Gholami

“…Researchers are always looking for the improvement of existing methods. Today, CMOS technology is widely used, which has some advantages and disadvantages. …”
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Machine Learning for FPGA Electronic Design Automation by Armando Biscontini, E. Popovici, A. Temko

“…As FPGA capacity expands, the EDA tools must also scale to handle larger, denser digital systems, and ML offers to fill the gap with resulting computational efficiency and improved solution quality. This study reviews ML methods utilized in FPGA EDA, from the perspective of formulated problems, input space representation, learned mapping, and methods used to achieve that. …”
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Toward learning steelmaking—A review on machine learning for basic oxygen furnace process by Maryam Khaksar Ghalati, Jianbo Zhang, G. M. A. M. El‐Fallah, Bogdan Nenchev, Hongbiao Dong

“…Abstract Basic oxygen furnace (BOF) steelmaking is the most widely used process in global steel production today, accounting for around 70% of the industry's output. Due to the physical, mechanical, and chemical complexities involved in the process, conventional monitoring and control methods are often pushed to their limits. …”
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Sustainability index analysis of organic fertilizer production from paunch manure and rice straw waste by A.D. Santoso, F.D. Arianti, E.S. Rohaeni, B. Haryanto, M.D. Pertiwi, L.P. Panggabean, A. Prabowo, S. Sundari, S.P. Wijayanti, I.N. Djarot, F.D. Kurniawati, F.L. Sahwan, T. Prasetyo, A. Barkah, T.A. Adibroto, R. Ridlo, I. Febijanto, A.A. Wasil, S. Lusiana, R. Rosmeika, R.B. Heryanto

“…These include water use and raw material efficiency, potential business scale increase, market absorption, the potential for public unrest, the manager or worker level of expertise in the manufacture of organic fertilizer as well as the process used to determine its quality and output.CONCLUSION: The proposed inquiry conducted within the context of this study identified the pivotal factors that influenced organic fertilizer supply framework as the quality, quantity, and market absorption of organic production. …”
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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

“…We finally test the presented methods using a hardware-efficient ansatz and four diverse datasets that include univariate and multivariate time series, with and without sampling noise. …”
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Hybrid Machine Learning-Driven Automated Quality Prediction and Classification of Silicon Solar Modules in Production Lines by Yuxiang Liu, Xinzhong Xia, Jingyang Zhang, Kun Wang, Bo Yu, Mengmeng Wu, Jinchao Shi, Chao Ma, Ying Liu, Boyang Hu, Xinying Wang, Bo Wang, Ruzhi Wang, Bing Wang

“…This multidimensional clustering approach overcomes the narrow focus of traditional <i>ELR</i>-based methods by incorporating photoelectric conversion efficiency and electrical characteristics. …”
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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…Biased datasets can lead to AI outputs that perpetuate disparities, particularly affecting social minorities and marginalized groups. …”
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CONTROL SYSTEM FOR PHOTOVOLTAIC PANELS TRACKER by Florin GROFU

“…Automatic or manual control together a efficiency test system for photovoltaic panels and a system for monitoring meteorological parameters makes this system to be very useful in any testing laborator of methods for produce energy from renewable sources. …”
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A review on mid-band and high-band 5G MIMO antenna designs: challenges and research directions by Upali Aparajita Dash, Arun Agarwal, Sasmita Pahadsingh

“…Recently, circular-polarized multiple-input–multiple-output technology in the user equipment has dragged attention of the designers. …”
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Trustworthy AI: Securing Sensitive Data in Large Language Models by Georgios Feretzakis, Vassilios S. Verykios

“…The framework integrates three core components: User Trust Profiling, Information Sensitivity Detection, and Adaptive Output Control. By leveraging techniques such as Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), Named Entity Recognition (NER), contextual analysis, and privacy-preserving methods like differential privacy, the system ensures that sensitive information is disclosed appropriately based on the user’s trust level. …”
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Primary user characterization for cognitive radio wireless networks using long short-term memory by Johana Hernández, Danilo López, Nelson Vera

“…The results show that long short-term memory has the capacity needed to improve channel use forecasting significantly more than other methods such as multilayer perceptron neural networks, Bayesian networks, and adaptive neuro-fuzzy inference systems (ANFIS-Grid). …”
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Reservoir operation strategies to mitigate hydrological drought effects along the middle and lower reaches of the Yangtze River by Xiaoqi Zhang, Zhihong Song, Tao Zhou, Dong Wang, Yongqiang Wang, Pan Liu

“…Firstly, river water level simulation (RWLS) models that consider the impact of upstream reservoir release was established based on the LSTM method. The impact of reservoir operation decisions on the downstream river water levels by combining the output from the reservoir system with the input of RWLS model was then analyzed. …”
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Analyzing and explaining the reflective teacher approach and its role in improving curriculum knowledge: Developing an educational discourse at Farhangian University by Reza Masouminejad

“…The participants were student-teachers in which data was collected through semi-structured interviews (individual and group).The researcher's self-review method, rich description of the data was used to determine the validity of the data, and the parallel analysis method and the systematic process in recording and writing the data were used to determine the reliability. …”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…This research presents Polar Lights Optimization (PLO), a noval aurora-inspired method developed to address the current optimization challenges. …”
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