Investigation of Pulsed UV Light Effects on Turkey Salami by Emre Hastaoğlu, Özlem Pelin Can, Ayşe Sena Özmen

“…Pulsed UV light application has been a method used frequently in ensuring food safety recently. …”
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Risk factors for long-term urination and sexual function impairment following laparoscopic resection of presacral lesions by Chen Lin, Zi-Yan Wang, Pei-Pei Wang, Kai-Wen Xu, Jiao-Lin Zhou, Hui-Zhong Qiu, Bin Wu

“…Methods: We conducted a retrospective review of female patients who underwent laparoscopic resection of presacral cysts between August 2012 and May 2020. …”
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Integrated analyses and a novel nomogram for the prediction of significant fibrosis in patients by Mengxin Lu, Shuai Tao, Xinyan Li, Qunling Yang, Cong Du, Weijia Lin, Shuangshuang Sun, Conglin Zhao, Neng Wang, Qiankun Hu, Yuxian Huang, Qiang Li, Yi Zhang, Liang Chen

“…Introduction and Objectives: This study aimed to explore the key genes involved in the pathophysiological process of liver fibrosis and develop a novel predictive model for noninvasive assessment of significant liver fibrosis patients. Patients and Methods: Differentially expressed genes (DEGs) were identified using the Limma package. …”
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Doppler stretch and delay Cramer-Rao lower bound for signal with large bandwidth by I. V. Gogolev

“…Estimation variances are equal for specified methods.…”
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DIAGNOSTIC VALUE OF ULTRASOUND COLOR DOPPLER MAPPING IN EARLY DETECTION OF BREAST CANCER by E. A. Busko, V. V. Semiglazov, A. V. Mishchenko, A. S. Shishova, V. O. Smirnova, E. V. Kostromina, A. V. Chernaya, A. S. Artemieva, P. V. Kryvorotko

“…The purpose of the study was to evaluate the diagnostic value of cDM in determining the type of vascularization of malignant and benign breast tumors, as well as to detect their statistically significant Doppler characteristics by comparing with histological findings. material and methods. From 2017 to 2019, a total of 277 women with complaints of breast lump or pain underwent ultrasound examination using cDM. …”
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A dual-reporter LDLR system integrating fluorescence and luminescence for understanding LDLR regulation and facilitating drug discovery by Peng Jiao, Peng Jiao, Peng Jiao, Peng Jiao, Na Yang, Na Yang, Qianfeng Jia, Baozhen Fan, Ke Feng, Ke Feng, Jian Yu, Shengtian Zhao, Shengtian Zhao, Shengtian Zhao

“…To address this, we developed a novel dual-reporter LDLR system incorporating Enhanced Green Fluorescent Protein (EGFP) and Gaussia luciferase (Gluc) to enable precise monitoring of LDLR expression and function.MethodsA CRISPR/Cas9-mediated knock-in strategy was used to integrate EGFP and Gluc upstream of the stop codon located in exon 18 of the LDLR gene in HEK293 cells. …”
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Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning by Xiao Zeng, Qiong Ma, Chun-Xia Huang, Jun-Jie Xiao, Xi Fu, Yi-Feng Ren, Yu-Li Qu, Hong-Xia Xiang, Mao Lei, Ru-Yi Zheng, Yang Zhong, Ping Xiao, Xiang Zhuang, Feng-Ming You, Jia-Wei He

“…Abstract Background The aim of this study was to explore the microbial variations and biomarkers in the oral environment of patients with persistent pulmonary nodules (pPNs) and to reveal the potential biological functions of the salivary microbiota in pPNs. Materials and methods This study included a total of 483 participants (141 healthy controls and 342 patients with pPNs) from June 2022 and January 2024. …”
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…Due to that this study aimed to predict short birth interval and associated factors among women (15–49) in Ethiopia using ensemble learning algorithms. Methods A secondary data analysis of Ethiopian demographic health servey from 2016 to 2019 was performed. a total of weighted sample of 12,573 women in the reproductive age group was included in this study. …”
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Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development by Imanol Pinto, Álvaro Olazarán, David Jurío, Borja De la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Javier Gorricho, Mikel Galar, Mikel Galar, José Andonegui, José Andonegui

“…At the University Hospital of Navarre (HUN), Spain, general practitioners (GPs) grade fundus images in an ongoing DR screening program, referring to a second screening level (ophthalmologist) target patients.MethodsAfter collecting their requirements, HUN decided to develop a custom AI tool, called NaIA-RD, to assist their GPs in DR screening. …”
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TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…Nooteboom is represented in the deployment of simultaneous practices of narrative construction, the use of inversive game techniques and methods inherent in modern and postmodernism. In the later works, there is an influence of the aesthetics of metamodernism, in particular the principle of meta-axis.…”
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Fat-free noncontrast whole-heart cardiovascular magnetic resonance imaging with fast and power-optimized off-resonant water-excitation pulses by Adèle L.C. Mackowiak, Davide Piccini, Ruud B. van Heeswijk, Roger Hullin, Christoph Gräni, Jessica A.M. Bastiaansen

“…Conventional methods often fall short due to rapid fat signal recovery, leading to residual fat content hindering visualization. …”
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Combined use of super-resolution ultrasound imaging and shear-wave elastography for differential diagnosis of breast masses by Yu-Meng Lei, Chen Liu, Chen Liu, Hai-Man Hu, Nan Li, Ning Zhang, Qi Wang, Shu-E Zeng, Shu-E Zeng, Hua-Rong Ye, Ge Zhang, Ge Zhang

“…Super-resolution ultrasound (SRUS) imaging enhances microvascular visualization, aiding in the differential diagnosis of breast masses. …”
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Diagnostic capabilities of breast scintigraphy and molecular imaging of the mammary glands in the detection of various biological subtypes of breast cancer by N.  S. Popova, S. N.  Novikov, P.  I. Krzhivitskiy, L. A. Zhukova, P.  V. Krivorotko, A.  S. Artemyeva, A. E. Michnin, A. A. Valitova, V. V. Danilov, A. V. Chyornaya, T. T. Tabagua, Zh.  V. Bryantseva, I.  A.  Akulova, S.  V. Kanaev

“…The standard diagnostic methods such as mammography, ultrasound, and magnetic resonance tomography have a pivotal role in the detection of breast tumors, however, in some cases, they have low diagnostic accuracy. …”
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Enhancing Word Embeddings for Improved Semantic Alignment by Julian Szymański, Maksymilian Operlejn, Paweł Weichbroth

“…We also show how our method influences document class distributions, visualized through PCA projections. …”
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Assessment of the breast volume by a new simple formula by El-Oteify Mahmoud, Abdel Megeed Hosnia, Ahmed Bothaina, El-Shazly Mahmoud

“…Previous methods to measure breast volume have included use of a simple bra and breast cup size, cumbersome fluid displacement, appliances and approximate visual estimation. …”
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Network analysis of depressive symptoms, cognitive functioning, and life satisfaction among healthcare workers by Xiumei Hou, Yan Wang, Yang Wu, Qinge Shen, Ping Liu, Yunshuai Xu, Jicheng Dong, Yaping Wang, Yaping Wang, Min Chen, Min Chen, Jian Cui

“…This study used network analysis to explore the associations between depression, cognitive symptoms, and LS in healthcare workers.MethodsA total of 655 healthcare workers were assessed using the Patient Health Questionnaire (PHQ-9), the Perceived Deficits Questionnaire-Depression (PDQ-D), and the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF). …”
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Establishing an intraoperative, mobile CBCT-based workflow for gynecologic brachytherapy: primary experience and benefit assessment by Andre Karius, Andre Karius, Vratislav Strnad, Vratislav Strnad, Christoph Bert, Christoph Bert, Rainer Fietkau, Rainer Fietkau, Ricarda Merten, Ricarda Merten, Claudia Schweizer, Claudia Schweizer

“…Image quality was assessed by considering the applicator visualization and contrast–noise ratio (CNR) between tissues. …”
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Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study by Moustaq Karim Khan Rony, Sumon Ahmad, Dipak Chandra Das, Sabren Mukta Tanha, Tuli Rani Deb, Mosammat Ruma Akter, Mst. Amena Khatun, Md Ibrahim Khalil, Umme Rabeya Peu, Mst. Rina Parvin, Daifallah M. Alrazeeni, Fazila Akter

“…Aim This study aimed to explore nursing students' perceptions of incorporating AI into their clinical training and professional practice, with a focus on identifying benefits, challenges, and potential areas for improvement. Methods A qualitative descriptive design explored the experiences and attitudes of 25 nursing students from five colleges in Dhaka, Bangladesh. …”
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OBSCN undergoes extensive alternative splicing during human cardiac and skeletal muscle development by Ali Oghabian, Per Harald Jonson, Swethaa Natraj Gayathri, Mridul Johari, Ella Nippala, David Gomez Andres, Francina Munell, Jessica Camacho Soriano, Maria Angeles Sanchez Duran, Juha Sinisalo, Heli Tolppanen, Johanna Tolva, Peter Hackman, Marco Savarese, Bjarne Udd

“…OBSCN undergoes extensive and complex alternative splicing, which is the main reason that its splicing regulation associated with skeletal and cardiac muscle development has not previously been thoroughly studied. Methods We analyzed RNA-Seq data from skeletal and cardiac muscles extracted from 44 postnatal individuals and six fetuses. …”
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Scalable AI-driven air quality forecasting and classification for public health applications by Mohammad Wasil Jalali, Bahir Saidi, Habibullah Farahmand, Mohammad Aref Rezvan Panah, Eda Nur Saruhan

“…The research seeks to bridge the gap between AI advancements and their application in under-resourced regions by developing interpretable, deployable tools for real-world use. Methods We designed a hybrid AI framework that combines ensemble machine learning models such as Random Forest and XGBoost with deep learning architectures including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNNs), and the Transformer-based Time Series Mixer (TSMixer). …”
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