Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
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Effects of Reduced Frequency on the Aerodynamic Characteristics of a Pitching Airfoil at Moderate Reynolds Numbers by Teng Zhou, Huijing Cao, Ben Zhao

“…As the pitching frequency increases, the maximum lift coefficient achieved in one pitching cycle decreases, and the direction of the lift hysteresis loop changes as the pitching frequency exceeds a certain value, leading to a change in the lift of the sign at the zero-incidence moment, which is a result of the instantaneous flow patterns on the airfoil surface. As the pitching frequency increases, flow unsteadiness develops less in one pitching cycle, and the time duration in which the turbulence boundary layer can be detected in one pitching cycle shrinks. …”
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Species Composition and Community Characteristics of Typical Intertidal Shellfish in Qingdao, China by Dashan YUAN, Zhihong LIU, Peizhen MA, Xiujun SUN, Liqing ZHOU, Zhuanzhuan LI, Dong XU, Biao WU

“…Intertidal biological resources serve as a foundation for the survival of coastal residents and plays a crucial role in coastal economic development. However, the intertidal zone serves as a primary area for coastal zone development and utilization, facing unprecedented environmental pressure resulting from rapid industrialization, urbanization, and agricultural intensification along coastlines. …”
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Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

“…For medium risk–ecological improvement zones (e.g., Jimei District, Xiangcheng District), the focus should be on harmonizing urban – rural ecological patterns through the strategic use of natural topographical features as buffer barriers, adopting mixed land-use approaches to curb urban sprawl, and upgrading eco-oriented infrastructure networks. …”
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Role of strike-slips and graben-rifts in controlling oil and gas reservoirs in deep horizons of the Russko-Chaselsky Ridge (West Siberian Province) by D. D. Sekerina, M. M. Saitgaleev, N. P. Senchina, V. V. Glazunov, D. F. Kalinin, M. P. Kozlov, E. I. Ismagilova

“…The study of the geological setting features of the West Siberian Oil-and-Gas Province (OGP) is relevant for establishing the relationship between the spatial distribution of local strike-slip dislocations (Russko-Chaselsky Ridge) and the structure of the regional Pai-Khoi-Altai shearing zone. …”
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Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives by Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané, Martin Debbané

“…A further novel aspect of this research is the use of SDMs as a linguistic dataset, which reveals meaningful patterns while engaging psychological processes related to identity and memory.MethodOur objectives were to: (1) characterize linguistic features of SDMs in ADHD and control groups; (2) assess the predictive power of stylometry in classifying participants' narratives as belonging to either the ADHD or control group; and (3) conduct a qualitative analysis of key linguistic markers of each group. …”
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Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome by Jingfang Wang, Wenrui Zhu, Xia Li, Yuanyuan Wu, Wenhui Ma, Yangzhou Wang, Weihong Zhao, Fang Wei, Wenhao Wang

“…The immune infiltration microenvironment, clinicopathological features, and survival rates differed significantly between two inflammatory gene expression patterns identified using cluster and immune microenvironment analyses. …”
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Multi-view fusion of diffusion MRI microstructural models: a preterm birth study by Rosella Trò, Monica Roascio, Domenico Tortora, Mariasavina Severino, Andrea Rossi, Andrea Rossi, Eleftherios Garyfallidis, Gabriele Arnulfo, Gabriele Arnulfo, Marco Massimo Fato, Shreyas Fadnavis

“…Furthermore, we investigated discriminative patterns of preterm birth using multiple analysis methods, drawn from two only seemingly divergent modeling goals, namely inference and prediction. …”
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Modelling desert dune fields based on discrete dynamics by Steven R. Bishop, Hiroshi Momiji, Ricardo Carretero-González, Andrew Warren

“…When assessing the success of such a model in capturing physical features we monitor morphology, dune growth, dune migration and spatial patterns within a dune field. …”
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The contrasted impacts of grasshoppers on soil microbial activities in function of primary production and herbivore diet by Ibanez, Sébastien, Foulquier, Arnaud, Brun, Charles, Colace, Marie-Pascale, Piton, Gabin, Bernard, Lionel, Gallet, Christiane, Clément, Jean-Christophe

“…Herbivory can have contrasted impacts on soil microbes and nutrient cycling, which has stimulated the development of conceptual frameworks exploring the links between below- and aboveground processes. …”
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Citrus quality grading based on statistical complexity measurement and multifractal spectrum method by Cao Leping, Wen Zhiyuan

“…It can also make huge economic and social benefits and increase farmers income and agricultural productivity so as to promote the sustained and healthy development of the citrus industry.For the purpose of precise measurement of citrus quality grading, the complexity measurement of Bingtang orange defective fruit damaged by diseases and insect pest patterns were studied by machine recognition, along with the navel orange fruit perimeter-area fractal dimension and the shape, color grading and sugar acid nondestructive detection of section tone unit coordinates multifractal spectrum height and width.Physiological boron deficiency, Eriophyes oleivorus and rind oil spotting disease were very common in Bingtang orange fruits. …”
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Relationships of a new fossorial Microcambevinae catfish species from southern Brazil supporting multiple dorsal-fin losses in Listrura (Siluriformes, Trichomycteridae) by Wilson J. E. M. Costa, Caio R. M. Feltrin, José L. O. Mattos, Paulo J. Vilardo, Axel M. Katz

“…Extreme reduction or loss of fins is a common evolutionary feature in fossorial and semifossorial trichomycterids. …”
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Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neura... by Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, Syoko Ueno, Takeshi Kubo, Tomohiro Kuroda, Kaori Togashi

“…We developed a computer-aided diagnosis (CADx) method for classification between benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the following: (i) the usefulness of the deep convolutional neural network (DCNN) for CADx of the ternary classification, compared with a conventional method (hand-crafted imaging feature plus machine learning), (ii) the effectiveness of transfer learning, and (iii) the effect of image size as the DCNN input. …”
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A study on flare minimisation in EUV lithography by post‐layout re‐allocation of wire segments by Sudipta Paul, Pritha Banerjee, Susmita Sur‐Kolay

“…Abstract The feature size in Integrated Circuits (ICs) has been scaling down aggressively, thereby posing more challenges in their manufacturability. …”
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A Deep Learning based Optimization Model for Based Computer Interface of Wheelchair Directional Control by Zaid Raad Saber Zubair

“… An efficient recognition model is highly recommended while trying to analyze brain signal pattern for Motor Imagery (MI) signal. Therefore, this study aims to develop an optimized model based on a deep learning approach using Multi-Layer Perceptron (MLP) in order to help a large community of disability people by allowing them to control the wheelchair using their MI Brain signal. …”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…The model proposed uses the state-of-art algorithms including the decision trees, support vector machines and the deep learning techniques in the feature extraction and pattern recognition as well as binary classification. …”
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Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis. by Haoyu Long, Yilin Chen, Jingru Feng, Jian Chen, Xue Zhang, Wenjie Han, Min Kang, Xiangjun Du

“…Risk factors associated to dengue were identified, including the occurrence of Aedes mosquitoes, changes in the predominant serotype, and the prevalence of anemia. Feature contribution pattern was different between hyperendemic and non-hyperendemic regions. …”
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Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities by Beng Heng Ang, Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng

“…To identify associations, we conducted chi-square tests of independence and calculated odds ratios (ORs) with the dataset. In addition, we developed a novel group-level case conceptualization technique, leveraging GPT-4 to extract features of EMSs from OMHC texts across key schema therapy dimensions, such as schema triggers and coping responses. …”
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Quality of life on climacteric nursing professionals by Thamyres Campos Fonsêca, Mariana Nepomuceno Giron, Lina Márcia Miguéis Berardinelli, Lucia Helena Garcia Penna

“… The climacteric has some unique features, especially related to body function, where women experience changes of several orders in this period of life, then, it is important to study the quality of life of nursing professionals. …”
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Design system for normalization by Using Normal Forms by Elham hassan Aziz

“…This method investigate the main characteristic features of the intentity in the un normalized  form of list and start to apply a group of normalization rules in order to reach to the final through adjusted optimal sample. …”
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