Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection by Ajaj, Mohamad

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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

“…The proposed technique achieved more than 10% better results than existing methods.</p><h2>Other Information</h2><p dir="ltr">Published in: Sensors<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/s23187816" target="_blank">https://dx.doi.org/10.3390/s23187816</a></p>…”

Prostate-based biofluids for the detection of prostate cancer: A comparative study of the diagnostic performance of cell-sourced RNA biomarkers by Roberts, Matthew J.

“…The aim of this study was to investigate if PEUW contained prostate-based material, evidenced by the presence of prostate specific antigen (PSA), and to evaluate the diagnostic performance of PEUW-based biomarkers. …”
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Effectiveness of Concept Mapping: A Constructivist based Educational Strategy on Grade Seven Arab Students' Academic Achievement in Chemistry by Thomas, Nimmy M.

“…The mean post test score of the experimental group was found to significantly be higher than the mean post test score of the control group. …”
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Non-Linear Time History Analysis of Moment Frame Structure with Performance-Based Approach on Different Concrete Compressive Strengths by ZAIDI, SYED HASSAAN AHMED

“…The 30Mpa structure reaches the Immediate Occupancy level earlier than the 40 Mpa structure. The energy consumption patterns do not show any trend or similarity. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth, Kunhoth

“…Evaluation in a publicly available dataset indicates that the AdaBoost classifier achieved a classification accuracy of 80.8%, which is 1.3% more than the state-of-the-art method. Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

“…Evaluation in a publicly available dataset indicates that the AdaBoost classifier achieved a classification accuracy of 80.8%, which is 1.3% more than the state-of-the-art method. Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”

Wild carrot pentane-based fractions suppress proliferation of human HaCaT keratinocytes and protect against chemically-induced skin cancer by Shebaby, Wassim N.

“…Results All fractions exhibited significant cytotoxicity, with HaCaT cells being 2.4–3 times less sensitive than HaCaT-ras A5 (benign tumorigenic), and HaCaT-ras II4 (malignant) cells. …”
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Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study by Mutasim Baba, Fuad

“…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …”
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A New Restriction Endonuclease-Based Method for Highly-Specific Detection of DNA Targets from Methicillin-Resistant Staphylococcus aureus by Maria W. Smith (18807382)

“…Sequences of target oligonucleotides were altered to demonstrate that (i) any mutation of the restriction site reduced the signal to zero; (ii) double and triple point mutations of sequences flanking the restriction site reduced restriction to 50–80% of the positive control; and (iii) a minimum of a 16-bp target-probe dsDNA hybrid was required for significant cleavage. Further experiments showed that the assay could detect the mecA amplicon from an unpurified PCR mixture with detection limits similar to those with standard fluorescence-based qPCR. …”

Trends in Necrotizing Fasciitis‐Associated Mortality in the United States 2003–2020: A CDC WONDER Database Population‐Based Study by Saad Khan (296295)

“…</p><h3>Conclusions</h3><p dir="ltr">NF‐related mortality has significantly risen in the United States since 2014, with distinct disparities based on sex, race, and geographic region. …”

Dual-labeled trastuzumab-based imaging agent for the detection of human epidermal growth factor receptor 2 overexpression in breast cancer by Sampath, Lakshmi

“…In this work, we exploited the extracellular binding property of trastuzumab, a clinically therapeutic monoclonal antibody to the second member of the HER family (HER2), to design a diagnostic imaging agent, (111In-DTPA)n-trastuzumab-(IRDye 800CW)m, that is dual labeled with 111In, a γ-emitter, and a near-infrared (NIR) fluorescent dye, IRDye 800CW, to detect HER2 overexpression in breast cancer cells. …”
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Bevacizumab Improves Pathologic Response and Protects Against Hepatic Injury in Patients Treated With Oxaliplatin-Based Chemotherapy for Colorectal Liver Metastases by Ribero, David

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InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images by Burak Tasci (17032302)

“…<p dir="ltr">In February 2023, Turkey experienced a series of earthquakes that caused significant damage to buildings and affected many people. …”

Integrated system based on solar chimney and wind energy for hybrid desalination via reverse osmosis and multi-stage flash with brine recovery by Carlos Méndez (88102)

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Evaluation of highly active and stable SiO2 supported Fe-based catalysts for the catalytic methane decomposition into COx free hydrogen and CNTs by Ali, Sardar

“…However, the development of active and stable catalysts remains a significantly challenging research topic. This study focuses on the development of highly active and stable silica-supported Fe-based catalysts for the thermal decomposition of methane into hydrogen and high quality carbon nanotubes. …”
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Evaluating comparative effectiveness of pembrolizumab-based therapy versus chemotherapy in treatment of gastric carcinoma: a systematic review and meta-analysis of randomized contr... by Haleema Mansoor (22457680)

“…Traditional chemotherapy, while standard, often results in significant side effects and limited efficacy. The objective of this meta-analysis and systemic review is to ascertain if pembrolizumab-based therapies for advanced gastric cancer are more effective and safer than standard chemotherapy. …”

Context-Tailored Food-Based Nutrition Education and Counseling for Pregnant Women to Improve Birth Outcomes: A Cluster-Randomized Controlled Trial in Rural Malawi by Kamudoni, Penjani Rhoda

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An investigation into links between UAE STI Policy and the Federal Universities STEM Majors’ Enrolments, Graduates and Research Development: an evidence-based exploration of the im... by Khreibi, Rima Abou

“…In terms of United Arab Emirates University (UAEU), there has been a decrease in STEM programs enrolment, while STEM graduates in UAEU has stayed steady at 1/3 STEM majors compared to 2/3 non-STEM programs. …”
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