Automated Segmentation of Acute Ischemic Stroke Using Attention U-net with Patch Mechanism by CINAR, N., UCAN, M., KAYA, B., KAYA, M.

“…This paper addresses ischemic stroke detection using deep learning techniques to interpret medical images like MRI and CT scans, with a focus on segmentation. …”
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Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design by Eleanor Mill, Wolfgang Garn, Chris Turner

“…The first of its kind, it leverages three distinct but complementary frameworks to support a user-centric and context-sensitive, post-hoc explanation for fraud detection. Using the principles of scenario-based design, it amalgamates two independent real-world sources to establish a realistic card fraud prediction scenario. …”
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Guarantees of family stability in the Holy Quran and the Prophet's Sunnah | ضمانات الاستقرار الأسري في القرآن الكريم والسنة النبوية (دراسة وصفية تحليلية)... by Aisha Shareef

“…I made him an introduction in which I talked about the importance of the topic and the reasons for its selection and previous studies and I divided it into three investigations and under each topic a number of demands. …”
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TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

“…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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Forecasting Cumulonimbus Clouds: Evaluation of New Operational Convective Index Using Lightning and Precipitation Data by Margarida Belo-Pereira

“…<i>IndexCON</i> performs well in the warm season (May–October), with a probability of detection (POD) of 70%, a false alarm ratio (FAR) of 30% and a probability of false detection (POFD) less than 5%, leading to a Critical Success Index (CSI) above 0.55. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…The algorithm then uses hybrid clustering methods for gene module detection. Finally, it combines integrated feature selection methods to determine the gene biomarkers. …”
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The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions by Keisuke Tanaka, Akwasi A. Amoako, Sally Mortlock, Peter A. W. Rogers, Sarah J. Holdsworth-Carson, Jacqueline F. Donoghue, Wan Tinn Teh, Grant W. Montgomery, Brett McKinnon

“…Abstract Background Endocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). …”
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Impact of health literacy in patients with chronic musculoskeletal disease--systematic review. by Yoon K Loke, Ina Hinz, Xia Wang, Gill Rowlands, David Scott, Charlotte Salter

“…We assessed risk of bias from participant selection, methods of measuring health literacy and functional outcomes, missing data, and potential for confounding.…”
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Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

“…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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Adoptive transfer of natural killer cells in therapeutic treatment of COVID-19 patients by Abdulaziz Alamri

“…Their antiviral capabilities stem from direct cytotoxic activity against infected cells and immunoregulatory functions that modulate adaptive immune responses. …”
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Interpretation of Phraseological Units Using Chinese Language in Russian-Chinese Phraseological Dictionaries by Di Liu, Fanhong Meng

“…The results of the research showed that the explanation of Russian phraseology in these lexicographic sources is carried out in two ways: through interpretation and selection of a similar expression. …”
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Managing Static Archives for Historical Research: A Study at the Archives Depot of the East Java Provincial Library and Archives Service, Indonesia by Farah Mumtahanah Mustakim, Adi Prasetyawan

“…The study applied static archive management theories, encompassing record selection, accessioning, arrangement, description, conservation, preservation, storage, and reference functions. …”
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Six-Month Treatment Outcomes of Vital Pulp Therapy in Adults Using Biomaterials: A Prospective Cohort Pilot Study by Melinda Polyák, Eszter Ágnes Szalai, Péter Komora, János Vág

“…Sample size calculations suggested 140 participants would be needed to detect a significant effect of pulp condition. Both materials were effective, though MTA+ showed higher success based on the strict success criteria. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. …”
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Anticipatory reaching motor behavior characterizes patients within the Alzheimer’s disease continuum in a virtual reality environment by Alessia de Nobile, Ilaria Borghi, Paolo De Pasquale, Denise Jennifer Berger, Antonella Maselli, Francesco Di Lorenzo, Elena Savastano, Martina Assogna, Andrea Casarotto, Daniele Bibbo, Silvia Conforto, Francesco Lacquaniti, Giacomo Koch, Andrea d’Avella, Marta Russo

“…Results Both AD and MCI patients showed more anticipatory responses than healthy controls (HC), inversely related to success rates and cognitive function. AD patients exhibited lower success rates and a higher frequency of anticipatory responses, often biased toward previous trial targets, suggesting impaired motor planning or difficulty adapting to new cues. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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Task-Driven Real-World Super-Resolution of Document Scans by Maciej Zyrek, Tomasz Tarasiewicz, Jakub Sadel, Aleksandra Krzywon, Michal Kawulok

“…We propose to incorporate auxiliary loss functions derived from high-level vision tasks, including text detection using the connectionist text proposal network (CTPN), text recognition via a convolutional recurrent neural network (CRNN), keypoints localization using Key.Net, and hue consistency. …”
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Evaluation of Adulticidal Clorine with Black Sand, White Sand and Silica Sand for Decline Coliform Bacteria by Rezania Asyfiradayati, Eni Budiyati, Mitoriana Porusia, Muhammad Rivandi Athaya, Afnan Zain Muzakki, Jenita Berlian Nindyasari, Siti Rohana Mohd Yatim

“…This finding suggests that material selection significantly influences the functional performance of chlorine-based water disinfection systems.…”
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