An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making by Ahmed M. Elshewey, Mona M. Jamjoom, Eman H. Alkhammash

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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…Recognizing these facial expressions accurately is essential for a variety of applications — such as tools that use our faces to interact with computers (human-computer interaction, or HCI), security systems and emotionally intelligent artificial intelligence technologies. …”
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Enhancing Extreme Programming (XP) Adoption Through SAMAM: A Scalable Agile Maturity Assessment Model Based on Industry Best Practices by Muhammad Faisal Abrar, Ali Alferaidi, Tariq S. Almurayziq, Muhammad Saqib, Wilayat Khan, Zawar Khan, Mohammad Alsaffar

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Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas by Yu Feng, Weiming Zeng, Yifan Xie, Hongyu Chen, Lei Wang, Yingying Wang, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang

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Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Hot Rolling of Steels Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Ho... by D. Szeliga, J. Foryś, J. Kusiak, R. Kuziak, R. Nadolski, M. Pietrzyk, Ł. Rauch

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HD-MVCNN: High-density ECG signal based diabetic prediction and classification using multi-view convolutional neural network by D. Santhakumar, K. Dhana Shree, M. Buvanesvari, A. Saran Kumar, Ayodeji Olalekan Salau

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An efficient approach for mathematical modeling and parameter estimation of PEM fuel based on Young’s double-slit experiment algorithm by Basma S. Alqadi, Deema Mohammed Alsekait, Mohamed F. Issa, Essam H. Houssein, Fatma H. Ismail, Mokhtar Said, Nour Mostafa, Fahmi Elsayed

“…Furthermore, the YDSE algorithm exhibits faster convergence, reaching optimal solutions in fewer iterations than other methods, thereby enhancing computational efficiency. The proposed YSDE is validated in three different PEMFC stack configurations, using standard performance indicators such as the sum of squared errors (SSE), standard deviation (SD), and Friedman rank (FRK). …”
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An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

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MORPHOFUNCTIONAL CHARACTERISTICS OF RAT SARCOMA M-1 AFTER PHOTODYNAMIC THERAPY WITH THE BACTERIOCHLOROPHYLL A DERIVATIVE by V. V. Yuzhakov, N. V. Burmistrova, N. K. Fomina, L. N. Bandurko, L. E. Sevanjkaeva, A. V. Starovoytova, N. D. Yakovleva, M. G. Tsyganova, I. E. Ingelj, P. V. Ostroverkhov, M. A. Kaplan, M. A. Grin, A. G. Mazhuga, A. F. Mironov, V. N. Galkin, Yu. S. Romanko

“…The research methods included immunohistochemistry for PCNA and CD31, evaluation of mitotic activity and apoptosis of tumor cells, as well as computer analysis of microscopic images. …”
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PROSPECTIVE ANALYSIS DATA OF FLOW AND FORECASTING OF MAXILLOFACIAL PHLEGMON IN VARIOUS MEDICAL-GEOGRAPHIC CONDITIONS by H.P. Ruzyn, Y.O. Pokhodenko-Chudakova, S.N. Hryhorov, E.N. Vakulenko, V. O. Krainia

“… The article describes the possibilities of predicting the results of acute inflammatory processes of maxillofacial area with the use of computer-multifactorial analysis program "Prognosis". …”
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Regularized Kaczmarz Solvers for Robust Inverse Laplace Transforms by Marta González-Lázaro, Eduardo Viciana, Víctor Valdivieso, Ignacio Fernández, Francisco Manuel Arrabal-Campos

“…We benchmark these methods against established ILT solvers—including CONTIN, maximum entropy (MaxEnt), TRAIn, ITAMeD, and PALMA—using synthetic single- and multi-modal diffusion distributions contaminated with 1% controlled noise. Quantitative evaluation via mean squared error (MSE), Wasserstein distance, total variation, peak signal-to-noise ratio (PSNR), and runtime demonstrates that Wasserstein–Kaczmarz attains an optimal balance of speed (0.53 s per inversion) and accuracy (MSE = <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>4.7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>8</mn></mrow></msup></mrow></semantics></math></inline-formula>), while TRAIn achieves the highest fidelity (MSE = <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.5</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>8</mn></mrow></msup></mrow></semantics></math></inline-formula>) at a modest computational cost. …”
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Association Between Visual Impairment and Daily Internet Use Among Older Japanese Individuals: Cross-Sectional Questionnaire Study by Atsuhide Takesue, Yoshimune Hiratsuka, Katsunori Kondo, Jun Aida, Atsushi Nakagomi, Shintaro Nakao

“… Abstract BackgroundOlder adults might not use computers due to psychological barriers, environmental barriers such as not owning a computer or lack of internet access, and health-related barriers such as difficulties with fine motor skills, low cognitive function, or low vision. …”
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Tablet- and Group-Based Multicomponent Cognitive Stimulation for Older Adults With Mild Cognitive Impairment: Single-Group Pilot Study and Protocol for Randomized Controlled Trial by Khanitin Jornkokgoud, Pattrawadee Makmee, Peera Wongupparaj, Alessandro Grecucci

“…The study will be assessed by a pre- and posttest evaluation, including computer-based neuropsychological tests and electroencephalography assessment. …”
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Magnitude and distribution of cancer in a private teaching hospital, Bahir Dar, Ethiopia by Adugna T Tebabal, Serkadis M Fetene, Solomon K Tessega, Aschalew A Bitew, Oumer A Muhie, Haylemriam A Bayleyegn, Abyot T Teshome, Beselam G Astatkie, Samrawit T Setargew, Ebrahim A Siraj, Ashagrachew T Yayehrad

“…The SPSS version 26 computer software package was used for data analysis. # Results A total of 4320 examinations revealed that 895 (20.7%) patients had confirmed malignancies. …”
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Variation in Clinical Presentation, Metabolic Profile, Hormonal Parameters and Inflammatory Markers in Polycystic Ovary Syndrome Women with and without Polycystic Ovary Morphology... by Sweekruti Jena, Ipsita Mishra, Anoj Kumar Baliarsinha, Debarchan Jena, Madhumita Debata

“…Statistical Analysis Used: The mean and Standard deviation were computed for all continuous variables. Frequencies and proportions were calculated for categorical variables. …”
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Durability Test and Service Life Prediction Methods for Silicone Structural Glazing Sealant by Bo Yang, Junjin Liu, Jianhui Li, Chao Wang, Zhiyuan Wang

“…This study established a service life prediction methodology that combines the degradation model with environmental data through recursive computation and standard-specified strength limits. …”
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InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities. by Yasir Khan Jadoon, Muhammad Attique Khan, Yasir Noman Khalid, Jamel Baili, Nebojsa Bacanin, MinKyung Hong, Yunyoung Nam

“…Human Action Recognition (HAR) has grown significantly because of its many uses, including real-time surveillance and human-computer interaction. Various variations in routine human actions make the recognition process of action more difficult. …”
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Factors associated with contrast-associated acute kidney injury in an emergency department: A cohort study in Lebanon. by Moustafa Al Hariri, Sally Al Hassan, Malak Khalifeh, Hani Tamim, Imad El Majzoub, Tharwat El Zahran

“…The study included ED patients who underwent computed-tomography (CT) with contrast. Bivariate and logistic regression analyses were performed to compare the characteristics of patients who developed AKI with those who did not by using SPSS package. …”
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Clinical applications of photon-counting CT in neuroimaging by LÜ Haiying, LU Yong, HE Naying

“…Photon-counting computed tomography (PCCT) is a next-generation CT imaging technology that markedly improves image quality while reducing radiation dose and image noise through single-photon detection and energy discrimination by photon detectors. …”
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