Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…Our research is based on 3755 LORs and 1973 SOIs extracted from the application records of Fordham University’s Master’s programs in Computer Science and Data Science. To facilitate the construction and evaluation of detection models, we generated AI counterparts for each LOR and SOI using the GPT-3.5 Turbo API. …”
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Quantifying change in urban tree cover in the city of Lubbock, Texas, using LiDAR and NAIP imagery fusion by Mukti Subedi, Carlos Portillo-Quintero

Subjects: “…Light detection and ranging (LiDAR)…”
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Novel Pyramidal Bidirectional Gated Vision Transformer for Rice Leaf Disease Detection by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

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Detection of Toxoplasma gondii Infection in Rodents, Shrews and Cats in Unguja Island, Zanzibar by Cynthia M. Paul, Ally A. Ally, Ernatus M. Mkupasi, Martin J. Martin, Abdul A.S. Katakweba

“…Fifty-one seropositive samples from cats were detected where eight were from pet cats and 43 from stray cats. …”
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On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness by Alan M. Pardo, Andres Legarra, Zulma G. Vitezica, Natalia S. Forneris, Daniel O. Maizon, Sebastián Munilla

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Screening Germplasms and Detecting Quantitative Trait Loci for High Sucrose Content in Soybean by Se-Hee Kang, Seo-Young Shin, Byeong Hee Kang, Sreeparna Chowdhury, Won-Ho Lee, Woon Ji Kim, Jeong-Dong Lee, Sungwoo Lee, Yu-Mi Choi, Bo-Keun Ha

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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

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The impact of artificial intelligence on financial auditing: the case of Algeria by Amira Benachour, Ramzi Kaddai, Hanane Abdelmalek, Fella Bochelgoum, Lamine Tarhlissia

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Cryptotanshinone Inhibits Bladder Cancer Cell Malignant Progression in a Lipopolysaccharide-Induced Inflammatory Microenvironment through NLRP3 Inhibition by Chenye Tang, Xiao Guo, Yu Li, Yongxiang Yi, Zhiling Tang, Qihui Zhang, Bairu Luo, Kean Chen, Ke Liang, Gang Li

“…BC tissue specimens from 62 patients were collected for immunohistochemical detection of NLRP3 protein. BC and normal urothelial cell lines were cultured for the detection of NLRP3 mRNA and protein. …”
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SPP1+ macrophages promote head and neck squamous cell carcinoma progression by secreting TNF-α and IL-1β by Chun Liu, Kun Wu, Chuwen Li, Zhen Zhang, Peisong Zhai, Haiyan Guo, Jianjun Zhang

“…Luminex liquid suspension chip detection assay indicated that SPP1 + Mac-derived TNF-α and IL-1β played important roles. …”
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Refractory chronic lymphocytic leukemia with concomitant extramedullary multiple myeloma with lymph node involvement by Piotr Jachimowski, Łukasz Ciulkiewicz, Bogna Ziarkiewicz-Wróblewska, Laretta Grabowska-Derlatka, Grzegorz Basak, Mateusz Ziarkiewicz

“…However combination of symptoms presented by our patient should always be an indication for repeating biopsy. Early detection of aggressive multiple myeloma can improve prognosis and prolong survival.…”
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Case Report: Neurofilament light chain in the follow up of progressive multifocal leukoencephalopathy in a patient with multiple sclerosis treated with ocrelizumab by Raquel Piñar-Morales, Raquel Piñar-Morales, Raquel Calle-Calle, Maria Carrasco-Garcia, Cristina Davila-Arias, Luisa Maria Villar-Guimerans, Francisco J. Barrero Hernandez, Francisco J. Barrero Hernandez

“…Progressive multifocal leukoencephalopathy (PML) results from the reactivation of John Cunningham virus JC virus and is a rare complication of anti-CD20 drug therapy. …”
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LATS2 and FAT4 as key candidate genes of hippo pathway associated with the risk and progression of breast cancer: an in-silico approach by Sadaf, Mubashir Zafar, Sheersh Massey, Abdulaziz A Aloliqi, Sadaf Anwar, Abrar Ali, Malik Asif Hussain, Tulika Bhardwaj, Kapil Dev

“…Researchers are exploring the hippo pathway, one of eight significant pathways involved in cancer progression, for potential biomarkers to use in personalized therapeutics. …”
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Interactive eAssessment of writing competency in French as a foreign language: Development and implementation of an AI-enhanced progress monitoring system by Abdelghani Es-sarghini, Abdelaziz Boumahdi

“…Through a qualitative study involving 15 French as a Foreign Language teachers across 3 primary schools in Morocco, we investigated the effectiveness of an AI-enhanced progress monitoring system. The participating teachers (mean age = 37.25 years, mean teaching experience = 17 years) implemented the system with 190 students across 7 classes. …”
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circZNF707 promoted glycolysis and tumor progression through miR-668-3p-PFKM axis in NSCLC by Wei Chen, Shuai Fang, Xianqiao Wu, Tianzheng Fang, Ziyuan Chen, Wenmin Su, Yuchao Zhu, Xiaodong Zhao, Chengwei Zhou

“…Finally, tests using Western blotting, RIP, qRT-PCR, and luciferase reporter gene detection and rescue assays revealed the potential mechanism of circZNF707. …”
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A Novel Approach to the Prediction of Alzheimer’s Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model by Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian

“…These findings prove the efficacy of the proposed framework in accurately predicting the progression of AD, highlighting its potential for early detection and personalized treatment strategies.…”
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Biomarkers for Predicting the Occurrence and Progression of Atrial Fibrillation: Soluble Suppression of Tumorigenicity 2 Protein and Tissue Inhibitor of Matrix Metalloproteinase-1 by Wei-Ping Sun, Xiao Du, Jun-Jun Chen

“…The multivariable ordinal logistic regression model for sST2 and TIMP-1 showed good discrimination between SR and AF, with an AUC of 0.846, and the addition of clinical factors, such as brain natriuretic peptide (BNP), left atrial diameter, age, and gender, to the biomarker model improved the detection of SR and AF (AUC 0.901). Conclusions. In this cohort study, sST2 and TIMP-1 were associated with AF progression, independent of clinical characteristics and biomarkers. …”
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Serological Detection of West Nile Virus in Single-Humped Camels in Northern Nigeria by Anyebe B. Onoja, Meschach M. Maina, Arhyel Malgwi, Bukang Ali, Emmanuel David, Shedrach B. Pewan, Reuben S. Bala, Abdulrahman M. Adeiza, Andrew M. Adamu, Oyelola A. Adegboye, Haijuan Wang

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Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses by Kohen Goble, Aarav Mehta, Damien Guilbaud, Jacob Fessler, Jingting Chen, William Nenad, William Nenad, Christina G. Ford, Oliver Cope, Darby Cheng, William Dennis, Nithya Gurumurthy, Yue Wang, Kriti Shukla, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk

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DeepRD:LSTM-based Siamese network for Android repackaged applications detection by Run WANG, Benxiao TANG, Li’na WANG

“…The state-of-art techniques in Android repackaging detection relied on experts to define features,however,these techniques were not only labor-intensive and time-consuming,but also the features were easily guessed by attackers.Moreover,the feature representation of applications which defined by experts cannot perform well to the common types of repackaging detection,which caused a high false negative rate in the real detection scenario.A deep learning-based repackaged applications detection approach was proposed to learn the program semantic features automatically for addressing the above two issues.Firstly,control and data flow analysis were taken for applications to form a sequence feature representation.Secondly,the sequence features were transformed into vectors based on word embedding model to train a Siamese LSTM network for automatically program feature learning.Finally,repackaged applications were detected based on the similarity measurement of learned program features.Experimental results show that the proposed approach achieves a precision of 95.7% and false negative rate of 6.2% in an open sourced dataset AndroZoo.…”
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