Integrating demand side management in isolated hybrid system design by Aravind Kumar Kondaji

“…Demand side options available for different end use loads and their potential impact on hybrid system sizing, is analysed in this study Aggregated consumption model is developed for different sectors (residential, agriculture, community and small-scale commercial) based on the technical ratings and time of use patterns of different end use loads. …”
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The Interaction of Gender, Occupation, and Fine Phonetic Detail by Melanie Weirich

“…Independent of occupation, men who rated themselves high on femininity were found to have higher mean f0 and more dispersed vowels than men who rated themselves low on femininity. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Peer perceptions of clinicians using generative AI in medical decision-making by Haiyang Yang, Tinglong Dai, Nestoras Mathioudakis, Amy M. Knight, Yuna Nakayasu, Risa M. Wolf

“…Participants also acknowledged GenAI’s value in improving accuracy (4.30, p < 0.002) and rated institutionally customized GenAI more favorably (4.96, p < 0.001). …”
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Ultrafast complex-valued 4D fMRI reveals sleep-induced brain respiratory pulsation changes in both magnitude and phase signals by Saara Sofia Syväoja, Lauri Raitamaa, Heta Helakari, Jussi Kantola, Matti Järvelä, Janne Kananen, Ville Isokoski, Vesa Korhonen, Tommi Väyrynen, Timo Tuovinen, Jürgen Hennig, Vesa Kiviniemi

“…To study these pulsations more deeply, we employed ultrafast magnetic resonance encephalography (MREG) to capture complex-valued 4D fMRI brain data at a critical 10 Hz sampling rate in healthy volunteers during wakefulness and sleep. …”
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Factors Affecting Aggressive Behavior Among Teenage Students: A Statistical Study by Kauser Shaheen, Majid Kaleem, Muhammad Abbas, Asim Iftikhar, Muhammad Ramzan

“…Aggressive behavior in the classroom was linked to low academic engagement ratings, good attitudes toward learning, friends in the classroom, and the perception of teacher support. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Renal prognostic value of serum monoclonal immunoglobulin in cryoglobulinemic glomerulonephritis by Lei Ma, Yuanyuan Xia, Yun Fan, Dan Zhou, Xinchen Yao, Yongzhong Zhong, Fan Yang, Feng Xu, Shaoshan Liang, Yujie Wang, Xiaodong Zhu, Dacheng Chen, Rong Tan, Zhengyun Zhu, Dandan Liang, Caihong Zeng

“…The MIg group had significantly lower eGFR levels, higher cryoglobulin levels, and higher rates of abnormal serum-free light chain ratios than the MIg/HBV/HCV negative group. …”
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Nucleus accumbens functional connectivity changes underlying alcohol expectancies in bipolar disorder and prospective alcohol outcomes: a within-subject randomized placebo-controll... by Elizabeth T. C. Lippard, Elizabeth T. C. Lippard, Elizabeth T. C. Lippard, Elizabeth T. C. Lippard, Elizabeth T. C. Lippard, Dylan E. Kirsch, Dylan E. Kirsch, Dylan E. Kirsch, Dylan E. Kirsch, Vanessa Le, Vanessa Le, Skyler Lee, Nadia Bibb, Kaitlyn Meek, Raquel Kosted, Ansley Huffman, J. R. C. Almeida, Kim Fromme, Kim Fromme, Stephen M. Strakowski, Stephen M. Strakowski, Stephen M. Strakowski

“…IntroductionAlcohol use disorder (AUD) occurs at higher rates in individuals with bipolar disorder compared to the general population. …”
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An Unexplored Diversity for Adaptation of Germination to High Temperatures in Brassica Species by M. Tiret, M.‐H. Wagner, L. Gay, E. Chenel, A. Dupont, C. Falentin, L. Maillet, F. Gavory, K. Labadie, S. Ducournau, A.‐M. Chèvre

“…Our results show that both species exhibit heat tolerance to the temperature range tested, especially B. rapa, with an increase in speed and uniformity of germination time, as well as an increase in germination rate as temperature increased. As for B. oleracea accessions, the ability to germinate under heat conditions depended on the geographical origin; in particular, southern populations showed a higher germination rate than northern populations, possibly in relation to their warmer climates of origin. …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Findings revealed a 37% increase in interdisciplinary project outcomes (measured by collaborative problem-solving scores, cross-domain knowledge integration ratings, and peer evaluation metrics) when AIGC tools were strategically implemented, with significant variations in effectiveness based on implementation approach. …”
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Korean Translation of the GRADE Series Published in the BMJ, ‘Use of GRADE Grid to Reach Decisions on Clinical Practice Guidelines When Consensus Is Elusive’ (A Secondary Publicati... by Hyun Jin Jung, Eu Chang Hwang, Do Kyung Kim, Ho Won Kang, Ja Yoon Ku, Hong Wook Kim, Jae Hung Jung

“…This article is the last of a series providing guidance for the use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system for rating the quality of evidence and grading the strength of recommendations in systematic reviews and clinical practice guidelines. …”
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Insights on the effect of mega-carcass abundance on the population dynamics of a facultative scavenger predator and its prey by Sidous, Mellina, Cubaynes, Sarah, Gimenez, Olivier, Drouet-Hoguet, Nolwenn, Dray, Stéphane, Bollache, Loïc, Madhlamoto, Daphine, Ngwenya, Nobesuthu Adelaide, Fritz, Hervé, Valeix, Marion

“…Models that allow hyaena and their prey populations’ growth rate to vary depending on these four periods contributed significantly to explain variations in their density, which is consistent with an effect of management measures on the population dynamics of hyaena and its prey.  …”
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Massive Water Production from Cryogenic Icy Lunar Regolith by a Microwave Heating Method by Qinggong Wang, Yong Pang, Juping Gu, Zhongxian Zhao, Qichen Sun, Mengfei Yang

“…Once the liquid water begins to collect, the water collection rate is comparable to that at the high-power heating pattern. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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