Smart Cognitive HMI With Automated Knowledge Extraction for Machine Tool by Jongsu Park, Jinho Son, Seongwoo Cho, Jumyung Um

“…It utilizes various AI technologies including optical character recognition, reinforcement learning, and natural language preprocessing technologies to minimize human intervention in the dataset construction. …”
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Impact of Nutritional Methods On Physical Performance Parameters by Katarzyna Szafrańska, Kinga Dominiczak, Szymon Niemirka, Aleksandra Janiak, Łukasz Grądalski, Adrianna Kopaczyńska, Filip Dębicki

“…This research aims to focus on three dietary approaches commonly utilized in various sports disciplines. The high-carbohydrate diet is particularly influential in endurance sports, owing to its properties that enhance muscle performance and efficiency. …”
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Genetic Diversity and Population Structure of Cacao (<i>Theobroma cacao</i> L.) Germplasm from Sierra Leone and Togo Based on KASP–SNP Genotyping by Ranjana Bhattacharjee, Mohamed Mambu Luseni, Komivi Ametefe, Paterne A. Agre, P. Lava Kumar, Laura J. Grenville-Briggs

“…A high rate of mislabeling/duplicate genotype names was revealed in both countries, which may be attributed to errors from the sources of introduction, labeling errors, and lost labels. …”
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Prospect studies and geological CO2 storage potential in Nigeria by Victor Omefe, Mahlon Kida Marvin, Zakiyyu Muhammad Sarkinbaka, Victor Inumidun Fagorite, Aliyu Buba Ngulde

“…The findings argue for a focused policy shift that leverages Nigeria's existing oil and gas infrastructure, enabling the clustering of CO2 point sources to share transportation and injection facilities. …”
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How is individualized nursing care documented in nursing records of cancer patients: A qualitative content analysis by Ingerd Irgens Hynnekleiv, Tove Giske, Kristin Heggdal

“…These limitations could be related to the cumbersome functionality of the EHR and the fact that the NCP targets efficiency and data availability purposes beyond being a tool for nursing care planning. …”
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53.3 W Visible-Waveband Extra High Power Supercontinuum All-Fiber Laser by Chang Sun, Tingwu Ge, Siyuan Li, Na An, Kang Cao, Zhiyong Wang

“…A repetition frequency multiplier is utilized in the seed laser to adjust the pulse peak power and suppress the NL effects in the amplification process. …”
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Design of an IoT-Based 4-Channel 5V Relay Controller Using WiFi and Smartphone Integration by Samsudin Samsudin, Abdullah Abdullah, Abdul Muni, Niko Niansyah

“…Therefore, the implementation of this system in smart homes is recommended with the support of a backup power source to improve reliability. In conclusion, the system not only fulfills technical performance requirements but also contributes to energy efficiency in alignment with green economy principles.…”
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Assessment of Collaboration-Based and Non-Collaboration-Based Logistics Risks with Plithogenic SWARA Method by Alptekin Ulutaş, Ieva Meidute-Kavaliauskiene, Ayse Topal, Ezgi Demir

“…<i>Conclusions</i>: The proposed technique will help logistics professionals make informed decisions and manage and analyze risks more efficiently. This study will also contribute to the literature as it is the first time that logistical risks have been addressed by utilizing the Plithogenic SWARA technique.…”
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Deep Learning-Based Emergency Rescue Positioning Technology Using Matching-Map Images by Juil Jeon, Myungin Ji, Jungho Lee, Kyeong-Soo Han, Youngsu Cho

“…In real-world experiments, our method, utilizing multi-source data, achieved a positioning success rate of 85.27%, which meets the US FCC’s E911 standards for location accuracy and reliability across various conditions and environments. …”
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A novel 5.1–7.1 GHz front-end power amplifier for wireless applications with −35 dB Error Vector Magnitude by Pawankumar B., Prashantha Kumar H.

“…For the 802.11ax source, the recorded average power output (Pavg) is 17.1 dBm at an Error Vector Magnitude (EVM) ≤−35 dB, across the 5–7 GHz. …”
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Model of the malicious traffic classification based on hypergraph neural network by Wenbo ZHAO, Zitong MA, Zhe YANG

“…As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt network services.To address this ongoing threat, it is crucial to develop more effective intrusion detection systems that can promptly detect and counteract malicious network traffic, thereby minimizing the resulting losses.However, current methods for classifying malicious traffic have limitations, particularly in terms of excessive reliance on data feature selection.To improve the accuracy of malicious traffic classification, a novel malicious traffic classification model based on Hypergraph Neural Networks (HGNN) was proposed.The traffic data was represented as hypergraph structures and HGNN was utilized to capture the spatial features of the traffic.By considering the interrelations among traffic data, HGNN provided a more accurate representation of the characteristics of malicious traffic.Additionally, to handle the temporal features of traffic data, Recurrent Neural Networks (RNN) was introduced to further enhance the model’s classification performance.The extracted spatiotemporal features were then used for the classification of malicious traffic, aiding in the detection of potential threats within the network.Through a series of ablative experiments, the effectiveness of the HGNN+RNN method was verified.These experiments demonstrate the model’s ability to efficiently extract spatiotemporal features from traffic, resulting in improved classification performance for malicious traffic.The model achieved outstanding classification accuracy across three widely-used open-source datasets: NSL-KDD (94% accuracy), UNSW-NB15 (95.6% accuracy), and CIC-IDS-2017 (99.08% accuracy).These results underscore the potential significance of the malicious traffic classification model based on hypergraph neural networks in enhancing network security and its capacity to better address the evolving landscape of network threats within the domain of network security.…”
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Feed Values of Sunflower Heads and Stovers Treated with Different Methods and Possibilities of Using as Roughage by B.zehra Sarıçiçek, Ali Vaiz Garipoğlu

“…This study was carried out to determine the effects of different urea treatments 4% urea; US. 4% urea+molasses; UMS, and 4% urea+soybean extract treated stovers and heads; USS on the digestibilities of the -sunflower stovers and heads and also to determine the possibilities of utilizing of these stovers and heads as an alternative roughage source. …”
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A study on the influence of feed and draw solution concentrations on the performance of the pilot-scale forward osmosis-membrane distillation system by Mansour Ahmed

“…The increasing demand for freshwater and scarcity of natural sources of freshwater have led the world to turn to seawater as a main source to produce freshwater through conventional desalination processes. …”
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Hierarchical Energy Management and Energy Saving Potential Analysis for Fuel Cell Hybrid Electric Tractors by Shenghui Lei, Yanying Li, Mengnan Liu, Wenshuo Li, Tenglong Zhao, Shuailong Hou, Liyou Xu

“…To address the challenges faced by fuel cell hybrid electric tractors (FCHETs) equipped with a battery and supercapacitor, including the complex coordination of multiple energy sources, low power allocation efficiency, and unclear optimal energy consumption, this paper proposes two energy management strategies (EMSs): one based on hierarchical instantaneous optimization (HIO) and the other based on multi-dimensional dynamic programming with final state constraints (MDDP-FSC). …”
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Interdisciplinary medical education practices: building a case-driven interdisciplinary simulation system based on public datasets by Kangli Qiu, Tianshu Zeng, Wenfang Xia, Miaomiao Peng, Wen Kong

“…Conclusion The “Data-case-simulation” trinity practice teaching model enables students to utilize open-source datasets for case analysis, employing clinical index modeling and statistical thinking. …”
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Assessment of Wave Energy in the South China Sea Based on GIS Technology by Gang Lin, Long Tan Shao, Chong Wei Zheng, Xiao Bin Chen, Li Feng Zeng, Zhi Hong Liu, Rong Bo Li, Wei Lai Shi

“…The results should provide accurate, efficient references for wave energy researchers and decision-makers. …”
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Optimization of photodegradation of acid blue 1 dye on aluminosilicate supported Cu doped TiO2 magnetic nanocatalyst using response surface methodology by Fatemeh Mollaie, Mahdieh Afroomand, Najmeh Ahmadi, Nezamaddin Mengelizadeh, Davoud Balarak

“…In this study, sunlight was utilized as an energy source for the degradation process. …”
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Integrated Renewable Energy System Using High Gain Interleaved Boost Converter with Modified Cheetah Optimization Based Adaptive PI-Controller by Sharda P., Himanshu S., Pal R. K.

“…Moreover, to validate the importance of proposed system, MATLAB/Simulink is utilized. The most important results are the proposed HGIBC exhibits a higher voltage gain when compared to other existing Boost converters and generates an increased efficiency of 97%. …”
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Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…Subgroup analyses were also conducted to identify potential sources of heterogeneity. Results A total of 1,355 studies were identified and reviewed. …”
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Advances in Metal-Organic Frameworks (MOFs) for Rechargeable Batteries and Fuel Cells by Christos Argirusis, Niyaz Alizadeh, Maria-Εleni Katsanou, Nikolaos Argirusis, Georgia Sourkouni

“…Metal-organic frameworks (MOFs) are crucial for achieving clean and efficient energy conversion in fuel cells and storage in batteries and supercapacitors. …”
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