A Scheduling Model in Capturing Methane Gas from Methane Clathrates Deposits by Anyanwu U. O., Okafor O. C., Nkwor C. A.

“…If the daily production rate increases, the cash flow and payback time will decrease. …”
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The diagnostic utility of lung ultrasound in the assessment of interstitial lung disease associated with rheumatoid arthritis by Shaoyu Zheng, Zexuan Zhou, Guangzhou Du, Qingzi Chen, Shaoqi Chen, Jianqun Lin, Shijian Hu, Weijin Zhang, Kedi Zheng, Jinghua Zhuang, Meigan Huang, Barbara Ruaro, Cosimo Bruni, Anna-Maria Hoffmann-Vold, Marco Matucci-Cerinic, Daniel E. Furst, Yukai Wang

“…Sonographic ILD was detected in 76 patients who underwent LUS examination. The concordance rate between two modalities was 83.33% (Kappa value = 0.64, 95% CI 0.50–0.78). …”
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Analysis of HBV infection characteristics and OBI prevalence in pregnant women: a focus on HBcAb + alone or in combination with HBeAb + subgroups in Northwest China by Yun Xie, Ru Kang, Xiaoyue Cheng, Dan Li, Qi Wang, Jiao Li, Xuan Guo, Wenhui Gao, Xin He, Liutong Jiang, Gaili Meng

“…Despite a decline in HBsAg positivity, HBV remains moderately prevalent, the persistently high HBV susceptibility rate (31.07%) underscores an urgent need for targeted vaccination efforts among women of childbearing age in Northwest China.…”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…High-intensity mining and extended working faces have significantly modified strata pressure manifestation patterns and triggered spatiotemporal evolution of mining-induced pressure. …”
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Prevalence, microbiology, and antimicrobial susceptibility profile of bacterial skin and soft tissue infections in pediatric patients with malignancies at a referral teaching hospi... by Seyed Reza Abdipour Mehrian, Fatemeh Noushadi, Yaser Pourasghar, Armina Farkarian, Elahe Meftah, Fatemeh Homayounifar, Ali Amanati

“…However, it is important to acknowledge that this study was conducted at a single center and the high rate of culture-negative results suggests that non-bacterial etiologies or prior antibiotic use may play a significant role. …”
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Amivantamab versus standard therapies among patients with advanced non-small cell lung cancer and epidermal growth factor receptor exon 20 insertion mutations after platinum-based... by Lan Shen, Guangyuan Hu, Yan Wang, Jing Zhao, Xin Li, Jianmin Zhuo, Grace Kah Mun Low, Shun Lu

“…Effectiveness comparison, including real-world progression-free survival (rwPFS), real-world time to next therapy (rwTTNT) and real-world objective response rate (rwORR) was conducted between CHRYSALIS patients and the EC. …”
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The effect of photodynamic therapy on the wound process dynamics in patients with purulent hand diseases by J. L. Chepurnaya, G. G. Melkonyan, N. T. Gul’muradova, A. A. Sorokin

“…Photodynamic therapy was performed on the second postsurgical day by a laser apparatus “Atkus-2” (wave length 661 nm) with a gel form of the chlorinseries photosensitizer photoditazin in the form of an application at the rate of 1 g ml per 3–5 cm2 of the wound surface. …”
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Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. by Felipe J Colón-González, Leonardo Soares Bastos, Barbara Hofmann, Alison Hopkin, Quillon Harpham, Tom Crocker, Rosanna Amato, Iacopo Ferrario, Francesca Moschini, Samuel James, Sajni Malde, Eleanor Ainscoe, Vu Sinh Nam, Dang Quang Tan, Nguyen Duc Khoa, Mark Harrison, Gina Tsarouchi, Darren Lumbroso, Oliver J Brady, Rachel Lowe

“…As a climate-sensitive disease, environmental conditions and past patterns of dengue can be used to make predictions about future outbreak risk. …”
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

“…When applied to a real dataset from the French Holstein dairy cattle population, DLGBLUP detected nonlinear genetic relationships between pairs of traits, such as conception rate and protein content, and SCC and fat yield, although, no significant increase in prediction accuracy was observed. …”
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Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation by Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

“…Smartphone sensors recorded call activity, location, and screen use, while fitness trackers captured heart rate, sleep patterns, and step count. We extracted patient-level behavioral features and categorized them into 2 feature sets: one from the prediction period (called action) and one from the preceding period (called context). …”
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Population immunity to SARS-CoV-2 virus in residents of the Irkutsk Region in the dynamics of the epidemic by S. V. Balakhonov, V. I. Dubrovina, M. V. Chesnokova, D. D. Bryukhova, N. O. Kiseleva, A. B. Pyatidesyatnikova, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, T. A. Gavrilova, A. A. Seledtsov

“…In this regard, the study of the manifestations of the epidemic process of the new coronavirus infection COVID-19 and the patterns of its development are an urgent area of research. …”
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Groundwater rebound and seepage characteristics and water quality evolution in a sealed mining area in North China type coalfield by Huiyong YIN, Dehui SUN, Fangying DONG, Fanhua WANG, Lifeng ZHANG, Tao WU, Chao LIU, Yifan ZENG

“…After the goaf sealing, water-rock interactions persisted during the reinjection of the accumulated water, but the cation exchange rate slowed down. The mineral phases showed similar but weakened variation trends compared to the water inrush stage. …”
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Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic by S. V. Balakhonov, V. I. Dubrovina, A. B. Pyatidesyatnikova, D. D. Briukhova, N. O. Kiseleva, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, M. V. Chesnokova, T. A. Gavrilova, A. A. Seledtcov

“…A comprehensive study of the patterns of development and manifestations of the epidemic process of the new coronavirus infection COVID-19 is an urgent line of research. …”
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A first large study of whole-exome sequencing (WES) in 489 patients with suspected rare genetic disorders at a tertiary centre in Malaysia by Lip Hen Moey, Go Hun Seo, Boon Eu Cheah, Wee Teik Keng, Hane Lee, Gaik Siew Ch’ng

“…Introduction: Rare genetic disorders occur at a rate of 40–82 per 1000 live births worldwide. Identifying the molecular cause of rare genetic disorders is beneficial because it allows early diagnosis, facilitates treatment planning and provision of accurate genetic counselling. …”
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Force fluctuations regulation and the role of neurophysiological mechanisms throughout different isometric contraction intensities by João H. Oliveira, João S. Gomes, Philipp Bauer, Pedro Pezarat-Correia, João R. Vaz

“…We demonstrated a trend for an inverted U-shaped relationship between force complexity and contraction intensity, with SampEn at ETT and 150%ETT being significantly higher than at 50%ETT and 75%ETT (all p < 0.05). This pattern was accompanied by an increase in motor unit actions potentials and firing rate as the intensity increased up to 150%ETT (all p < 0.05). …”
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Mathematical Analysis of Inclusion Removal from Liquid Steel by Gas Bubbling in a Casting Tundish by H. Arcos-Gutierrez, J. de J. Barreto, S. Garcia-Hernandez, A. Ramos-Banderas

“…Nevertheless, in a real casting tundish the inclusion removal rate employing argon bubbling is efficient; is mainly due to the fluid flow pattern changes rather than bubble attachment. …”
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Convolutional Neural Decoder for Surface Codes by Hyunwoo Jung, Inayat Ali, Jeongseok Ha

“…The numerical results show that the proposed decoding algorithm effectively improves the decoding performance in terms of logical error rate as compared to the existing algorithms on various quantum error models.…”
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Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India by Sreenivasulu T, Mokesh Rayalu G

“…The framework amalgamates one-dimensional Convolutional Neural Networks (1D CNN) for the extraction of short-term patterns, Long Short-Term Memory (LSTM) integrated with Multi-Head Attention (MHA) to encapsulate long-term dependencies, and Gated Recurrent Unit (GRU) for the refinement of residual errors. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions. …”
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Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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