Towards high-performance dye-sensitized solar cells by utilizing reduced graphene oxide-based composites as potential alternatives to conventional electrodes: A review by Edigar Muchuweni, Edwin T. Mombeshora, Cosmas M. Muiva, T. Stephen Sathiaraj, Abdullah Yildiz, Diego Pugliese

“…Among them, reduced graphene oxide (rGO) has been more appealing due to its compatibility with low-cost solution processing. Therefore, this review highlights the recent advances in DSSC efficiency and sustainability made over the last five-years (2020–2024) by developing TiO2-free photoanodes and Pt-free counter electrodes, in particular, by introducing rGO into metal oxides, metal chalcogenides and perovskites. …”
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Synthesis and characterization of water-based CIGS ink for photovoltaic applications by Ishwar Sharma, K. V. K. Adari, Lokesh Biddika, Kunal Borse

“…This effort will contribute to developing an easy-to-use, low-cost method for the continued development of CIGS ink. …”
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Numerical modeling and analysis of plasmonic flying head for rotary near-field lithography technology by Yueqiang Hu, Yonggang Meng

“…Abstract Rotary near-field lithography (RNFL) technology provides a route to overcome the diffraction limit with a high throughput and low cost for nanomanufacturing. Utilizing the advantage of the passive flying of a plasmonic head, RNFL can achieve a 10 m/s processing speed with a perfect near-field condition at dozens of nanometers. …”
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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…Transformers learn sequence information with greater expressiveness than recurrent models, but at the cost of increased time complexity with respect to sequence length. …”
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Advanced Queueing and Location-Allocation Strategies for Sustainable Food Supply Chain by Amirmohammad Paksaz, Hanieh Zareian Beinabadi, Babak Moradi, Mobina Mousapour Mamoudan, Amir Aghsami

“…In large-scale scenarios, GOA significantly reduced processing times, ranging from 20.45 to 64.78 s. The optimization of processing facility locations within the supply chain, based on this model, led to improved balance between cost (up to $74.2 million), environmental impact (122,112 hazardous units), and waiting time (down to 11.75 h). …”
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Visible Light Active Natural Rutile Photocatalyst Obtained via Nano Milling by Kata Saszet, Enikő Eszter Almási, Ádám Rácz, Katalin Bohács, Milica Todea, Klára Hernádi, Zsolt Pap, Lucian Baia

“…By changing the grain size and the particle size distribution, and due to the doping effect of impurities present in the mineral, the band gap values of the samples and their photocatalytic activities changed as well. …”
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Universal validity of the second law of information thermodynamics by Shintaro Minagawa, M. Hamed Mohammady, Kenta Sakai, Kohtaro Kato, Francesco Buscemi

“…Abstract Adiabatic measurements, followed by feedback and erasure protocols, have often been considered as a model to embody Maxwell’s Demon paradox and to study the interplay between thermodynamics and information processing. Such studies have led to the conclusion, now widely accepted in the community, that Maxwell’s Demon and the second law of thermodynamics can peacefully coexist because any gain provided by the demon must be offset by the cost of performing the measurement and resetting the demon’s memory to its initial state. …”
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LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

“…Furthermore, we implement a Learning-based Structure-Aware Pruning (LSAP) method to avoid the high computational cost associated with top-k selection algorithms. …”
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Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures by Saira Baharuddin, Cédric M. John

“…Abstract Core images provide a high‐resolution data set of the textures and fabrics of sedimentary rocks, but their availability is often limited by cost and/or poor core recovery. An alternative solution is to utilize advanced high‐resolution micro‐resistivity images acquired through wireline logging, such as the Formation MicroScanner (FMS). …”
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Performance evaluation of a medium axial field-of-view sparse PET system based on flat panels of monolithic LYSO detectors: a simulation study by Maya Abi-Akl, Jens Maebe, Boris Vervenne, Othmane Bouhali, Christian Vanhove, Stefaan Vandenberghe

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The Applications and Complexity Analysis Based on Network Embedding Behaviors under Evolutionary Game Framework by Xin Su, Hui Zhang, Shubing Guo

“…Supply chain enterprises should reduce the special assets investment cost and cooperation cost, maximize network income and cooperation income, narrow the gap between the extra-cooperation profit and the current cooperation profit, and restrain them from violating cooperation contracts or taking opportunistic actions.…”
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Combining SNNs with filtering for efficient neural decoding in implantable brain-machine interfaces by Zhou Biyan, Pao-Sheng Vincent Sun, Arindam Basu

“…In this work, we show that combining traditional signal processing techniques, namely signal filtering, with SNNs improve their decoding performance significantly for regression tasks, closing the gap with LSTMs, at little added cost. …”
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Artificial Intelligence in Healthcare A Review of Machine Learning Applications by Karajgi Santosh, R Vijaya Prakash, Kumar K. Gagan, Selvi P Tamil, Shankar Bhukya, S Jeyanthi

“…At present, the challenges explored highlight the need for federated learning as a new way to train AI without exposing sensitive patient data, bias-aware models which promote equitable and fair healthcare decisions for all patients, cloud and edge AI to ensure that processing is cost effective and appropriate, and Explainable AI (XAI) to promote trust and transparency to patients and communities. …”
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Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review by Lihle N. Tikwayo, Tebello N. D. Mathaba

“…Warehousing requires the classification, controlling and management of inventory as well as processing of related information. Therefore, adopting efficient and reasonable warehouse management measures to achieve effective management and control of materials is a key means to flexibly adjusting the supply and demand of storage materials and reduce operating costs. …”
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Lightweight machine learning framework for efficient DDoS attack detection in IoT networks by Mamoona Nawaz, Shireen Tahira, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Reduced features were selected to enhance performance and reduce processing cost. Three supervised learning models, Random Forest, Logistic Regression, and Naïve Bayes, were implemented and evaluated based on their detection accuracy, precision, recall, and F1-score. …”
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Enhancing inventory accuracy in dairy industries by Francisco Tiago Araújo Barbosa, Maria Silene Alexandre Leite, Mauro Sergio Carneiro Mascarenhas, Rogerio Santana Peruchi

“…Originality / Value: This research addresses a gap in applied studies on inventory management in the dairy sector, demonstrating the successful application of Lean Six Sigma and DMAIC to achieve substantial operational improvements. …”
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Memristor Emulator Circuits: Recent Advances in Design Methodologies, Healthcare Applications, and Future Prospects by Amel Neifar, Imen Barraj, Hassen Mestiri, Mohamed Masmoudi

“…However, physical memristor implementations still face challenges in reproducibility, scalability, and integration with standard CMOS processes. Memristor emulator circuits, implemented using analog, digital, and mixed components, have emerged as practical alternatives, offering tunability, cost effectiveness, and compatibility with existing fabrication technologies for research and prototyping. …”
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Innovative Automated Manual Transmission (AMT) System for Bcycles: Design, Implementation and Control by Ahmet Kağızman, Fehmi Can Ay, Bengisu Kilinç, Talha Enes Ercan, Volkan Sezer

“…Despite this proven success in the automotive industry, the applicability of a similar system in bicycles remains an under-researched area, which constitutes a significant gap in the development of technological innovations in the bicycle industry. …”
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Enhancing Port Energy Autonomy Through Hybrid Renewables and Optimized Energy Storage Management by Dimitrios Cholidis, Nikolaos Sifakis, Nikolaos Savvakis, George Tsinarakis, Avraam Kartalidis, George Arampatzis

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Robust Optimization of Active Distribution Networks Considering Source-Side Uncertainty and Load-Side Demand Response by Renbo Wu, Shuqin Liu

“…Secondly, the second-order cone relaxation and linearization technique is adopted to deal with the nonlinear constraints, and the inexact column and constraint generation (iCCG) algorithm is designed to accelerate the solution process. The solution efficiency and accuracy are balanced by dynamically adjusting the convergence gap of the main problem. …”
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