Considerations for the Successful Detection and Quantification of Genetically Modified Events in Grain and Food Samples Using Multiplex Digital PCR by Tigst Demeke

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The Mystery of the Past Haunts Again: Jane Eyre and Eugenie Marlitt’s Die zweite Frau by Ivonne Defant

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Cécile Charlap, La Fabrique de la ménopause by Charlotte Debest

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FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection by Gege Ding, Yuhang Shi, Zhenquan Liu, Yanjuan Wang, Zhixuan Yao, Dan Zhou, Xuexiu Zhu, Yiqin Li

Subjects: “…microalgal detection…”
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Improved cell search algorithm for 5G NR by Baojiang DONG, Chen PENG, He LU

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Who lies to protect another? Motivational, behavioral, and socio-cognitive predictors of children’s interventional deception by Płotnikowska Joanna, Filip Anna

Subjects: “…deception…”
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Research on Operators Mobile Malware Protection Architecture and Key Technologies by Tao Chen, Peng Gao, Xuetao Du, Shan Xue, Manzhi ang

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Defense Budget Gaps and Legal Implications of Alternative Financing in Indonesia: A Legal Reform Perspective by Aris Marsudiyanto, Athor Subroto, Bambang Permadi Soemantri Brodjonegoro, A. Hanief Saha Ghafur

Subjects: “…defense budget…”
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HLA Class II Defects in Burkitt Lymphoma: Bryostatin-1-Induced 17 kDa Protein Restores CD4+ T-Cell Recognition by Azim Hossain, Jason M. God, Faisal F. Y. Radwan, Shereen Amria, Dan Zhao, Jennifer R. Bethard, Azizul Haque

“…While the defects in HLA class I-mediated Ag presentation by Burkitt lymphoma (BL) have been well documented, CD4+ T-cells are also poorly stimulated by HLA class II Ag presentation, and the reasons underlying this defect(s) have not yet been fully resolved. …”
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Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas by Hyunglok Kim, Muhammad Zohaib, Eunsang Cho, Yann H. Kerr, Minha Choi

“…We have first developed a modeled aerosol optical depth (AOD) dataset by utilizing Soil Moisture and Ocean Salinity (SMOS), Advanced Microwave Scanning Radiometer 2 (AMSR2), and the Global Land Data Assimilation System (GLDAS) soil moisture datasets in order to estimate dust outbreaks over desert areas of East Asia. Moderate Resolution Imaging Spectroradiometer- (MODIS-) based AOD products were used as reference datasets to validate the modeled AOD (MA). …”
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Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM) by Hongfan Chen, Nishtha Sachdeva, Zhenguang Huang, Bart van derHolst, Ward Manchester IV, Aniket Jivani, Shasha Zou, Yang Chen, Xun Huan, Gabor Toth

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Interproximal tunneling combined with customized connective tissue graft to improve severe papillary defects in the aesthetic zone: a case report and literature review by MAO Yudian, BAO Han, AI Luying, CHEN Weirong, CHEN Ling, WU Yun

“…Objective To explore the treatment plan for severe papillary defects in the aesthetic zone caused by severe periodontitis, providing a reference for clinical practice. …”
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Classification of Silicon (Si) Wafer Material Defects in Semiconductor Choosers using a Deep Learning ShuffleNet-v2-CNN Model by Rajesh Doss, Jayabrabu Ramakrishnan, S. Kavitha, S. Ramkumar, G. Charlyn Pushpa Latha, Kiran Ramaswamy

“…Semiconductor failure or dysfunction could be the result of defects in the layers of this material. As a result, it is essential to work toward the development of a system that is both quick and precise in identifying and classifying wafer defects. …”
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Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm by Bo Ye, Ming Li, Gefei Qiu, Jun Dong, Fang Zeng

“…Detection and quantitative estimation of deep defects in multi-layered structures is an essential task in a range of technological applications, such as maintaining the integrity of structures, enhancing the safety of aging aircraft, and assuring the quality of products. …”
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A Multicentre Study: The Use of Micrografts in the Reconstruction of Full-Thickness Posttraumatic Skin Defects of the Limbs—A Whole Innovative Concept in Regenerative Surgery by Michele Riccio, Andrea Marchesini, Nicola Zingaretti, Sara Carella, Letizia Senesi, Maria Giuseppina Onesti, Pier Camillo Parodi, Diego Ribuffo, Luca Vaienti, Francesco De Francesco

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Correlation between aboveground vegetation composition and soil seed bank of Raudhat desert habitat: a case study of Raudhat Alkhafs, Saudi Arabia by Asma A. Al-Huqail, Hanan F. Al-Harbi, Abdullah M. Alowaifeer, Mohamed A. El-Sheikh, Abdulaziz M. Assaeed, Turki S. Alsaleem, Hazem S. Kassem, Omar M. Azab, Basharat A. Dar, Jahangir A. Malik, Ahmed M. Abd-ElGawad

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An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing by Indu Chhillar, Ajmer Singh

“…Abstract Breast cancer is the primary cause of death among women globally, and it is becoming more prevalent. Early detection and precise diagnosis of breast cancer can reduce the disease’s mortality rate. …”
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Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm by Bo Ye, Ming Li, Gefei Qiu, Jun Dong, Fang Zeng, Tanghua Yang, Biao Bai

“…Detection and quantitative estimation of deep defects in multi-layered structures is an essential task in a range of technological applications, such as maintaining the integrity of structures, enhancing the safety of aging aircraft, and assuring the quality of products. …”
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Implementation of a Targeted Screening Program to Detect Airflow Obstruction Suggestive of Chronic Obstructive Pulmonary Disease within a Presurgical Screening Clinic by Chantal Robitaille, Esther Dajczman, Andrew M Hirsch, David Small, Pierre Ernst, Dana Porubska, Mark Palayew

“…A targeted spirometry screening program was implemented within a presurgical screening (PSS) clinic to detect undiagnosed airways disease and identify patients with COPD/asthma in need of treatment optimization.…”
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Multivariable Diagnostic Prediction Model to Detect Hormone Secretion Profile From T2W MRI Radiomics with Artificial Neural Networks in Pituitary Adenomas by Begumhan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Muhammet Arif KURSUN

“…Objective: This study aims to develop neural networks to detect hormone secretion profiles in the pituitary adenomas based on T2 weighted magnetic resonance imaging (MRI) radiomics. …”
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