Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support by Renata Turkeš, Steven Mortier, Jorg De Winne, Jorg De Winne, Dick Botteldooren, Paul Devos, Steven Latré, Tim Verdonck

“…The performance of the different EEG representations is evaluated with the Support Vector Machine (SVM) accuracy on the WithMe data derived from a modified digit span experiment, and is benchmarked against baseline EEG-specific models, including a deep learning architecture known for effectively learning task-specific features.ResultsThe raw EEG time series outperform each of the considered data representations, but can fall short in comparison with the black-box deep learning approach that learns the best features.DiscussionThe findings are limited to the WithMe experimental paradigm, highlighting the need for further studies on diverse tasks to provide a more comprehensive understanding of their utility in the analysis of EEG data.…”
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The Effect of Three Months of Aerobic Training on Stroop Performance in Older Adults by David Predovan, Sarah A. Fraser, Mélanie Renaud, Louis Bherer

“…Taken together, the results suggest that even short-term physical interventions can enhance older adults’ executive functions.…”
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Cadrage, décadrage et recadrage dans Baa Baa Black Sheep : A Jungle Tale de David Malouf et Michael Berkeley by Jean-Philippe Heberlé

“…Premiered under the baton of Paul Daniel on July 3rd 1993 at the Cheltenham International Festival of Music, this opera is based on two texts by Rudyard Kipling: The Jungle Books (1894-1895) and “Baa, Baa, Black Sheep” from the short story collection Wee Willie Winkie and Other Stories, first published in 1888. …”
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Intrahepatic Cholestasis of Pregnancy Leading to Severe Vitamin K Deficiency and Coagulopathy by Maria Maldonado, Ali Alhousseini, Michael Awadalla, Jay Idler, Robert Welch, Karoline Puder, Manasi Patwardhan, Bernard Gonik

“…The newborn received 0.5 mg of intramuscular vitamin K shortly after delivery but went on to develop bilateral grade III intraventricular hemorrhages by day 5. …”
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Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers by Mohammed Achite, Okan Mert Katipoğlu, Veysi Kartal, Metin Sarıgöl, Muhammad Jehanzaib, Enes Gül

“…In this study, advanced soft computing techniques, including long short-term memory (LSTM), convolutional neural network–recurrent neural network (CNN-RNN), and group method of data handling (GMDH) algorithms, were employed to forecast monthly streamflow time series at two different stations in the Wadi Mina basin. …”
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Data Imputation for Detected Traffic Volume of Freeway Using Regression of Multilayer Perceptron by Xiang Wang, Yingying Ma, Shengwen Huang, Yu Xu

“…Lastly, the performance of the proposed model of imputation in short-term traffic volume prediction is discussed using the support vector machine. …”
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A CNN-LSTM-Based Model to Forecast Stock Prices by Wenjie Lu, Jiazheng Li, Yifan Li, Aijun Sun, Jingyang Wang

“…At the same time, based on machine learning long short-term memory (LSTM) which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. …”
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A Bi‐level stacked LSTM‐DNN‐based decoder network for AGC dispatch under regulation market framework in presence of VPP and EV aggregators by Kingshuk Roy, Sanjoy Debbarma, Siddhartha Deb Roy, Liza Debbarma

“…In this context, a bi‐level AGC dispatch approach based on a stacked long short‐term memory (LSTM)‐deep neural network (DNN)‐based decoder framework is proposed for a power system comprising diverse CIGs forming a virtual power plant and electric vehicle aggregators. …”
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An in-depth analysis of two common methodologies used to derive hourly solar radiation values from daily ones: pros and cons by Harry D. Kambezidis, Harry D. Kambezidis

“…Nevertheless, modelling solar radiation at an hourly level is nowadays required for a short-term output forecast from solar installations. …”
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Comparison of Insulin Lispro Protamine Suspension with NPH Insulin in Pregnant Women with Type 2 and Gestational Diabetes Mellitus: Maternal and Perinatal Outcomes by Antonietta Colatrella, Natalia Visalli, Santina Abbruzzese, Sergio Leotta, Marzia Bongiovanni, Angela Napoli

“…To study pregnancy outcomes of women with type 2 and gestational diabetes mellitus when insulin lispro protamine suspension or human NPH insulin was added to medical nutrition therapy and/or short-acting insulin. Methods. In this retrospective study, for maternal outcome we recorded time and mode of delivery, hypertension, glycaemic control (fasting blood glucose and HbA1c), hypoglycemias, weight increase, and insulin need. …”
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Transforming ASEAN’s future: how clean energy and innovation can shape environmental progress by Jingjing Yang, Kwisik Min

“…It uses sophisticated econometric methods including Panel unit root tests, Westerlund cointegration, Augmented Mean Group and Common Correlated Effects Mean Group estimation, and Dumitrescu-Hurlin causality tests to understand the short run & long-term dynamics of these relationships. …”
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Do Endangered Glacial Relicts Have a Chance for Effective Conservation in the Age of Global Warming? A Case Study: <i>Salix lapponum</i> in Eastern Poland by Michał Arciszewski, Magdalena Pogorzelec, Marzena Parzymies, Urszula Bronowicka-Mielniczuk, Tomasz Mieczan

“…It was also found that a short exposure to temperature extremes did not change the photosynthetic pigment content or catalase activity. …”
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The Roles of PPARs in the Fetal Origins of Metabolic Health and Disease by William D. Rees, Christopher J. McNeil, Christopher A. Maloney

“…Beyond the short-term effects on fertility, there is increasing evidence that obesity or the consumption of an inappropriate diet by the mother during pregnancy adversely affects the long-term health of her offspring. …”
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Self-Healing Effect of Various Capsule-Core Materials on Asphalt Materials by Suhua Chen, Qi Liu, Yanqiu Bi, Bin Yu, Jiupeng Zhang

“…This implies that the capsule core of epoxy resin can recover the strength of damaged asphalt in a short time. Epoxy resin should be considered for asphalt cracks caused by heavy-load shear.…”
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Full Silicon Tandem Solar Cells Based on Vertically Aligned Nanostructures by Dmitry A. Kudryashov, Ivan A. Morozov, Alexander S. Gudovskikh

“…With an increase in the height of the Si wires, the open-circuit voltage (VOC) decreases monotonically for both the bottom Si and the top p-i-n a-Si:H junctions. The short-circuit current density (JSC) for the top p-i-n a-Si:H junction increases sharply with Si wire height, and then, it goes into saturation at a wire height of more than 10-15 μm. …”
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Sporun Pazarlaması ve Pazarlama İletişiminde Spor by Hüseyin Altınbaş

“…Geleneksel pazarlama yerine spor pazarlaması dünyada ve Türkiye'de sporun ürün olma boyutuyla ve sporun iletişim stratejisindeki kullanılma boyutuyla ilgili örnekleri ele almaktadır. Sporu iletişim stratejisinde düşünmeyen, spor ürününün özelliklerini kavramayan markalar rekabetçi avantaj elde edememektedir. …”
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A novel wearable device integrating ECG and PCG for cardiac health monitoring by Junbin Zang, Qi An, Bo Li, Zhidong Zhang, Libo Gao, Chenyang Xue

“…Traditional methods, often costly, bulky, and prone to subjectivity, fall short of meeting the need for daily monitoring. Digital and portable wearable monitoring devices have emerged as a promising research frontier. …”
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A systematic review of social impacts of treatment and rehabilitation of head and neck cancer patients by Rebecca T. Bernstein, Aphra Garner-Purkis, Jennifer E. Gallagher, Sasha Scambler

“…Methodological inadequacy concerned small sample sizes and relatively short follow-up times. Qualitative studies revealed a wide range of social impacts which affect patients relating to the cancer, therapeutic education, and the negative impact of treatment side effects over time. …”
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A Deep Learning-Based Approach to Enable Action Recognition for Construction Equipment by Jinyue Zhang, Lijun Zi, Yuexian Hou, Mingen Wang, Wenting Jiang, Da Deng

“…The contributions of this research are as follows: (1) the development of a comprehensive video dataset of 2,064 clips with five action types for excavators and dump trucks; (2) a new deep learning-based CEAR approach (known as a simplified temporal convolutional network or STCN) that combines a convolutional neural network (CNN) with long short-term memory (LSTM, an artificial recurrent neural network), where CNN is used to extract image features and LSTM is used to extract temporal features from video frame sequences; and (3) the comparison between this proposed new approach and a similar CEAR method and two of the best-performing HAR approaches, namely, three-dimensional (3D) convolutional networks (ConvNets) and two-stream ConvNets, to evaluate the performance of STCN and investigate the possibility of directly transferring HAR approaches to the field of CEAR.…”
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Synergistic defecation effects of Bifidobacterium animalis subsp. lactis BL-99 and fructooligosaccharide by modulating gut microbiota by Qi Zhang, Wen Zhao, Jie Luo, Shaoqi Shi, Xiaokang Niu, Jian He, Yicheng Wang, Zhaozhong Zeng, Qiuyue Jiang, Bing Fang, Juan Chen, Yixuan Li, Fuqing Wang, Jingjing He, Jie Guo, Ming Zhang, Liwei Zhang, Shaoyang Ge, Wei-Lian Hung, Ran Wang

“…These changes facilitated alterations in short-chain fatty acids (SCFAs) metabolism, and were closely associated with the expression of genes related to the 5-HT pathway and the modulation of serum inflammatory factors. …”
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