Ginkgo ketone ester tablets for the treatment of cognitive impairment associated with chemotherapy for breast cancer - a prospective cohort study by Jiajing Chen, Lixin Chen, Kexin Jiang, Dandan Wang, Chunyu Wu, Yuenong Qin, Sheng Liu

“…The GBE cohort received tablets containing 14.08–21.12 mg total flavonoids, ≥9.6 mg flavonol glycosides, and ≥2.4 mg terpene lactones (0.25 g, three times daily) for 12 weeks. Cognitive function was assessed using Memory and Executive Screening (MES), Auditory Verbal Learning Test-Huashan Version (AVLT-H), and Shape Trail Test A/B at baseline, week 12, and week 24. …”
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Optimization of modeling and temperature control of air-cooled PEMFC based on TLBO-DE by Pu He, Jun-Hong Chen, Chen-Zi Zhang, Zi-Yan Yu, Ming-Yang Wang, Jun-Yu Chen, Jia-Le Song, Yu-Tong Mu, Kun-Ying Gong, Wen-Quan Tao

“…Second, RBF neural network is introduced to identify the stack temperature and provide the accurate ∂y(k)∂u(k) for BP-PID, which solves the problem of using sign function sgn(∂y(k)∂u(k)) to approximate the ∂y(k)∂u(k) in BP-PID. …”
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Optimal selection of satellite XCO₂ images for urban CO₂ emission monitoring by A. Danjou, G. Broquet, A. Schuh, F.-M. Bréon, T. Lauvaux, T. Lauvaux

“…This study analyzes the performances of an automated method for estimating urban emissions as a function of the targeted cities and of the atmospheric conditions. …”
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Inter and intrasentential code switching among late bilinguals by Barzan Jaafar Ali

“…PhD thesis Chan, B. and Hock-Shing. (2015) A diachronic-function approach to explaining grammatical patterns in code-switching: Postmodification in Cantonese English noun phrase. …”
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Astrogliosis Occurs Selectively in Amygdala of Adolescent Primate and Rodent Following Daily Δ9-Tetrahydrocannabinol, Prevented by Cannabidiol Co-Treatment by Yalin Sun, Meenalochani Sivasubramanian, Marija Milenkovic, Andrew Gumbert, Jack Bergman, Preston Ge, Myriam Heiman, Marie-Eve Di Raddo, Sarah L. Withey, Bertha K. Madras, Susan R. George

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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…Such mechanisms enable us to learn embedding functions capable of generalizing to new object angle views, facilitating rapid adaptation and efficient reasoning in dynamic contexts as users navigate their environment. …”
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Prospective areas of didactic research: А problem statement. by M. V. Klarin, I. M. Osmolovskaya

“…Additionally, the authors highlighted didactic research problems related to learning across all levels of the educational ladder, to a wide range of contexts of educational practice: psychological and didactic characteristics of a modern agent of learning; didactic foundations for the selection of educational content in the context of the transformation of the educational environment of the digital era; the expansion of conceptual and terminological toolbox of didactics; contextual features of didactic principles in diverse areas of educational practice; didactical aims and functions of non-traditional learning formats; didactic foundations and the range of the teacher’s roles in various learning formats; the development of didactics for teacher training.The directions of promising didactic research are identified. …”
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Things unchanged: online and offline practice of an Indian first-year composition curriculum by Jooyoung Kim, Jooyoung Kim

“…The results indicate that the offline mode was overall more satisfactory for writing practice and learning, while some functions in the online mode provided meaningful support for an interactive writing experience.…”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…In this method, the number of membership functions is 5 functions representing very low, low, medium, high and very high. …”
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Generative Artificial Intelligence ChatGPT in Education: Challenges and Opportunities by Bilquis Ferdousi

“…ChatGPT, which is able to make human-like responses, with its scalability, customizability, automated conversations, efficiency, cost-effectiveness, natural language processing, and language translation capability, can be an ideal tool for different functions, including the academic learning process. …”
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Precision Weed Management for Straw-Mulched Maize Field: Advanced Weed Detection and Targeted Spraying Based on Enhanced YOLO v5s by Xiuhong Wang, Qingjie Wang, Yichen Qiao, Xinyue Zhang, Caiyun Lu, Chao Wang

“…This approach also promotes the application of deep learning algorithms in precision weed management within directional spraying systems.…”
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Algorithms to Identify Copied and Manipulated Spectrum Occupancy Data in Cognitive Radio Networks by Joseph Tolley, Carl B. Dietrich

“…Additionally, we recommend utilizing a cosine similarity function with Elasticsearch to search for manipulated spectrum data and exact copies when sufficient computational resources are available.…”
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Speech-dependent data augmentation for own voice reconstruction with hearable microphones in noisy environments by Mattes Ohlenbusch, Christian Rollwage, Simon Doclo

“…Training a supervised deep learning-based OVR system requires a substantial amount of own voice signals as training data. …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…Deep learning algorithms have demonstrated exceptional performance on various computer vision and natural language processing tasks. …”
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Long Short-Term Memory-Enabled Electromyography-Controlled Adaptive Wearable Robotic Exoskeleton for Upper Arm Rehabilitation by S. M. U. S. Samarakoon, H. M. K. K. M. B. Herath, S. L. P. Yasakethu, Dileepa Fernando, Nuwan Madusanka, Myunggi Yi, Byeong-Il Lee

“…Restoring strength, function, and mobility following an illness, accident, or surgery is the primary goal of upper arm rehabilitation. …”
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The Modified Sparrow Search Algorithm with Brown Motion and Levy Flight Strategy for the Class Integration Test Order Generation Problem by Chongyang Jiao, Qinglei Zhou, Wenning Zhang, Chunyan Zhang

“…Then, the discoverer learning strategy of Brownian motion is introduced and the Levy flight is utilized to renew the positions of the followers, which balances the global search and local search of the algorithm. …”
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Enhanced YOLOv12 Through Sliced Contrastive Supervision and Full Scene Fine-Tuning by Javier E. Garza, Muhammad F. Islam

“…Finally, a contrastive loss function and an associated embedding branch were introduced to help discriminate between features in the embedding space, grouping instances of the same classes closer together and instances of different objects further apart. …”
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A non-optically active lake salinity dataset by satellite remote sensing by Mingming Deng, Ronghua Ma, Lixin Wang, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong, Zhengyang Yu

“…However, the efficiency of remote sensing inversion of water salinity is limited as salinity is a non-optically active parameter, leading to the lack of a pixel-scale lake salinity dataset. Conventional function models based on salinity tracers or single lakes have low regional applicability, while machine learning algorithms can effectively capture the nonlinear relationship between radiance and salinity, providing large-scale inversion opportunities. …”
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Decision Support System (DSS) for Fraud Detection in Health Insurance Claims Using Genetic Support Vector Machines (GSVMs) by Robert A. Sowah, Marcellinus Kuuboore, Abdul Ofoli, Samuel Kwofie, Louis Asiedu, Koudjo M. Koumadi, Kwaku O. Apeadu

“…Experimental results show a significant reduction in computational time on claims processing while increasing classification accuracy via the various SVM classifiers (linear (80.67%), polynomial (81.22%), and radial basis function (RBF) kernel (87.91%).…”
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Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study by Gema Esteban-Bueno, Juan Luis Fernández-Martínez

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