From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Despite these advances, challenges remain more significant in real-time EEG processing, where a trade-off between accuracy and computational efficiency limits practical implementation. High computational cost is prohibitive to the use of deep learning models in real-world applications, therefore indicating a need for the development and application of optimization techniques. …”
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Influence of surface micro-textured and coating on tungsten carbide tools in turning of aluminum alloy 7075-T6 by Javad Shams Abadi Farahani, Behnam Davoodi

“…This approach significantly improves tool life (up to 25 % reduction in wear) and surface quality, offering a cost-effective solution for the precision machining of aluminum alloys.…”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

“…Consequently, a low-cost and low-maintenance temperature monitoring solution is urgently needed. …”
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Composite Metal Oxide Nanopowder-Based Fiber-Optic Fabry–Perot Interferometer for Protein Biomarker Detection by Ulpan Balgimbayeva, Zhanar Kalkozova, Kuanysh Seitkamal, Daniele Tosi, Khabibulla Abdullin, Wilfried Blanc

“…This opens up new horizons for reliable and highly sensitive biomarker detection, which can be useful for early disease diagnosis and monitoring using a cost-effective and reproducible sensor system.…”
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Synthesis of modified chitosan TiO2 and SiO2 hydrogel nanocomposites for cadmium removal by Soudeh Banivaheb, Sasan Dan, Hassan Hashemipour, Maryam Kalantari

“…Heavy metals removal from wastewaters and surface waters using low cost and eco-friendly adsorbents is one of the best ways to eliminate these impurities. …”
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Targeting programmed death ligand 1 for anticancer therapy using computational drug repurposing and molecular simulations by Mohd Shahnawaz Khan, Anas Shamsi, Moyad Shahwan, Khuzin Dinislam, Dharmendra Kumar Yadav

“…Drug repurposing provides a cost-effective and time-efficient strategy to identify existing drugs for novel therapeutic targets. …”
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Identification of novel human IgE-binding peptides from a phage display library for total IgE detection by Sudtida Kaew-amdee, Manlika Makornwattana, Ratthaphol Charlermroj

“…These peptides offer significant advantages over traditional antibody-based methods, including improved stability, simplicity, and cost-effectiveness. They represent promising candidates for developing new diagnostic tools for IgE detection. …”
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Reprogramming of human urine cells into cardiomyocytes via a small molecule cocktail in xeno-free conditions by Yu Chen, Aoli Li, Aijie Liu, Wei Zheng, Haishi Fan, Jingwei Zhang, Chenwen Huang

“…Direct reprogramming of somatic cells into cardiomyocytes using small molecules is advantageous due to its efficiency and cost-effectiveness. Methods Human urine-derived cells (hUCs) were transdifferentiated into functional cardiomyocyte-like cells (hCiCMs) using a cocktail of 15 small molecules under xeno-free conditions. …”
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Enhancing the Efficiency and Schedule of Solar Thermal Power Plants by Utilizing Thermal Storage Devices to Minimize Carbon Emissions by Lingeswaran P., Yadav Shailendra Kumar, Ganesh Babu L., Magesh Babu D., Karuppannan Anand, Iftekhar Hussain Beporam, Nanthakumar S.

“…Carbon emissions dropped from 26.4×103 tons to 22.1×103 tons and the overall operating cost went down from 136531.02 k ₹ to 102247.98 k ₹ when the capacity of the TSS went enhanced from 0 to 8 hours. …”
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Prognostic Nutritional Index (PNI) at Admission Predicts In-Hospital Mortality of COVID-19-Infected Patients by Haryati Haryati, Mohamad Isa, Mohammad Rudiansyah, Juhairina Juhairina, Muhamad Nor, Fidya Rahmadhany Arganita

“…Hence, PNI at admission, which reflects patients' immune system and nutritional status upon hospital admission, can be used as a simple, cost-effective, and reliable predictor of mortality in COVID-19 patients.…”
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The Impact of Rural Livelihood Diversification on Household Poverty: Evidence from Jimma Zone, Oromia National Regional State, Southwest Ethiopia by Tsehaynesh Abebe, Tamiru Chalchisa, Adugna Eneyew

“…The descriptive statistics revealed that age of household, dependency ratio, year of schooling, sex of household, livestock ownership, landholding, non-farm income, market distance, and extension contact were found to have a significant influence on the poverty status of a household at different probability levels. Based on the cost of basic needs approach, it was applied to measure poverty status. …”
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Development of sustainable AA6061 hybrid composites reinforced with silica sand and copper for high-performance applications by Ramakrishna Vikas Sadanand, Suhas Yeshwant Nayak, Aruna Prabhu

“…The integration of naturally sourced silica sand and copper, combined with LTMT, offers a cost-effective and sustainable route to producing high-performance composites. …”
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Revolutionizing Healthcare With 6G: A Deep Dive Into Smart, Connected Systems by Shaik Rajak, Ammar Summaq, Mukkara Prasanna Kumar, Anirban Ghosh, Karthikeyan Elumalai, Sunil Chinnadurai

“…By reviewing state-of-the-art developments and real-world case studies, the paper demonstrates the indispensable role of wireless technology in enhancing patient outcomes, reducing healthcare costs, and ensuring universal access to high-quality care. …”
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Implementation of genetic testing for heritable cardiac conditions: A scoping review by Ana Morales, Jessica Goehringer, Paige L. McDonald, Despina Sanoudou

“…Common barriers included education and cost, whereas facilitators included multidisciplinary collaboration and adopting technology to assist with case identification. …”
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Association between cardiac metabolic index and diabetic kidney disease: a cross-sectional study of NHANES 1999–2018 by Lu Zhang, Cuiying Liang, Zhaoqi Yan, Qingzhen Li

“…Conclusion Elevated CMI is associated with an increased risk of DKD and can serve as a low-cost screening tool, allowing physicians to potentially identify high-risk diabetic patients early and implement timely interventions to slow the progression of DKD.…”
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Heat stress response in the cave nectar bat Eonycteris spelaea differs from that of Mus musculus by Leon J. W. Tang, Akshamal M. Gamage, Wei Lun Ng, Wan Rong Sia, Randy Foo, Ning Yuan Shen, Wharton O. Y. Chan, Shiwei Chen, Vivian Chih-Wei Chen, Beng Lee Lim, Chee Wah Tan, Lin-Fa Wang

“…Abstract Bats as the only flying mammals incur a high metabolic cost during extended powered flight, which results in febrile-like temperatures without injury. …”
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Design of ZnO–VSe2 nanocomposite for high performance asymmetric supercapacitors by Danish Arif, Rajwali Khan, Atta Ullah Shah, Kashif Safeen, Khalid M. Alotaibi, Hayat Ullah, Muhammad Zia Ullah Shah, Wubshet Mekonnen Girma, Akif Safeen

“…The proposed methodology offers a cost-effective and promising approach for evolving high-energy hybrid supercapacitors for energy storage applications.…”
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Passive demultiplexed two-photon state generation from a quantum dot by Yusuf Karli, Iker Avila Arenas, Christian Schimpf, Ailton Jose Garcia Junior, Santanu Manna, Florian Kappe, René Schwarz, Gabriel Undeutsch, Maximilian Aigner, Melina Peter, Saimon F. Covre da Silva, Armando Rastelli, Gregor Weihs, Vikas Remesh

“…Our approach significantly reduces the cost of demultiplexing while shifting it to the excitation stage, enabling loss-free demultiplexing and effectively doubling the achievable multi-photon generation rate when combined with existing active demultiplexing techniques.…”
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A study on the advancement of building energy simulations: Utilizing ChatGPT to enhance occupancy rate predictions and sustainability outcomes by Jae-Woo Lee, Kyung-Soon Park, Yong-Joon Jun, Seon-Hye Eom

“…Various methods and tools have been developed to collect accurate occupant data, but they often face significant challenges in terms of time and cost. Existing occupancy schedules often fail to adequately reflect building types, user characteristics, and regional variations. …”
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From Clusters to Communities: Enhancing Wetland Vegetation Mapping Using Unsupervised and Supervised Synergy by Li Wen, Shawn Ryan, Megan Powell, Joanne E. Ling

“…However, producing accurate, fine-scale vegetation maps in large, heterogeneous floodplain wetlands remains challenging due to complex hydrology, spectral similarity among vegetation types, and the high cost of extensive field surveys. This study addresses these challenges by developing a scalable vegetation classification framework that integrates cluster-guided sample selection, Random Forest modelling, and multi-source remote-sensing data. …”
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