Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus amongst Non-expert Endoscopists by Vinay Sehgal, Avi Rosenfeld, David G. Graham, Gideon Lipman, Raf Bisschops, Krish Ragunath, Manuel Rodriguez-Justo, Marco Novelli, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

“…Once taught to non-experts, the algorithm significantly improves their rate of dysplasia detection. This opens the door to standardised training and assessment of competence for those who perform endoscopy in BE. …”
Get full text

Food biodiversity and total and cause-specific mortality in 9 European countries: An analysis of a prospective cohort study. by Giles T Hanley-Cook, Inge Huybrechts, Carine Biessy, Roseline Remans, Gina Kennedy, Mélanie Deschasaux-Tanguy, Kris A Murray, Mathilde Touvier, Guri Skeie, Emmanuelle Kesse-Guyot, Alemayehu Argaw, Corinne Casagrande, Geneviève Nicolas, Paolo Vineis, Christopher J Millett, Elisabete Weiderpass, Pietro Ferrari, Christina C Dahm, H Bas Bueno-de-Mesquita, Torkjel M Sandanger, Daniel B Ibsen, Heinz Freisling, Stina Ramne, Franziska Jannasch, Yvonne T van der Schouw, Matthias B Schulze, Konstantinos K Tsilidis, Anne Tjønneland, Eva Ardanaz, Stina Bodén, Lluís Cirera, Giuliana Gargano, Jytte Halkjær, Paula Jakszyn, Ingegerd Johansson, Verena Katzke, Giovanna Masala, Salvatore Panico, Miguel Rodriguez-Barranco, Carlotta Sacerdote, Bernard Srour, Rosario Tumino, Elio Riboli, Marc J Gunter, Andrew D Jones, Carl Lachat

“…Overall, higher DSR was inversely associated with all-cause mortality rate. Hazard ratios (HRs) and 95% confidence intervals (CIs) comparing total mortality in the second, third, fourth, and fifth (highest) quintiles (Qs) of DSR to the first (lowest) Q indicate significant inverse associations, after stratification by sex, age, and study center and adjustment for smoking status, educational level, marital status, physical activity, alcohol intake, and total energy intake, Mediterranean diet score, red and processed meat intake, and fiber intake [HR (95% CI): 0.91 (0.88 to 0.94), 0.80 (0.76 to 0.83), 0.69 (0.66 to 0.72), and 0.63 (0.59 to 0.66), respectively; PWald < 0.001 for trend]. …”
Get full text

High-Quality Damaged Building Instance Segmentation Based on Improved Mask Transfiner Using Post-Earthquake UAS Imagery: A Case Study of the Luding Ms 6.8 Earthquake in China by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu

“…This method has high accuracy in identifying and assessing damaged buildings after earthquakes and can provide critical data support for disaster loss assessment.…”
Get full text

Osteoporosis in community-dwelling older adults: Prevalence and prevention and control strategies in general practice by Fan Meng, Minjie Dong, Jin Guo, Songtao Xu, Wei Yan, Jun Gu, Yirong Chen, Cheng Yang, Jun Wang, Lifang Xia, Jun Chen, Lingjie Fu

“…Among the 322 participants, 27 (8.4 %) had normal bone mass, 157 (48.8 %) exhibited low bone mass, and 138 (42.8 %) were diagnosed with osteoporosis, resulting in a BMD abnormality rate (low bone mass and osteoporosis) of 91.6 %. …”
Get full text

Immune analysis according to Lauren type for gastric cancer and its significance in individual treatment and prognostic prediction by Huiwen Lu, Junqiao Yao, Junqiao Yao, Chi Xue, Chi Xue, Rui Huang, Rui Huang, Baojun Huang, Baojun Huang

“…Additional GC data related to human subjects were collected from GEO public dataset. …”
Get full text

Co-occurrence and importance of AmpC and extended-spectrum beta-lactamases-producing gram-negative bacilli in clinical specimens at a Tertiary Hospital in Dar es Salaam, Tanzania by Japhet Anania Peter, Salim Masoud, Doreen Kamori, Agricola Joachim, Upendo Kibwana, Joel Manyahi, Mtebe Majigo, Mecky Matee

“…Isolates from the adult intensive care unit showed a higher percentage of ESBL and AmpC producers. The highest rate of AmpC producers was found in pus samples (18/25, 72.0%). …”
Get full text

Interaction mechanism and development suggestions for the full cycle construction effect of surface horizontal wells in unmined coal mines by Zhainan ZHANG, Ke YANG, Xinzhu HUA, Chunhui YE, Min YE, Wenjie LIU, Xiaolou CHI, Xin LYU

“…The production stages of both wells can be divided into five stages: backflow, upward production, stable production, shutdown, and re production of gas. The backflow rate of ZJ2−1 well is relatively high and greater than 1, indicating the invasion of adjacent water sources, resulting in poor gas production of ZJ2−1 well with better fracturing effect. …”
Get full text

Cancer cell survival model after photodynamic therapy by L. Karami-Gadallo, M. Pouladian

“…It was validated by showing an excellent curve fitting relatively with data obtained from cancerous lung cells under ALA-PDT process in vitro. …”
Get full text

Validation of routine lymphatic filariasis morbidity surveillance in the Upper West Region, Ghana. by Hope Simpson, Kofi Agyabeng, Bright Alomatu, Ernest Mensah, Solomon Atinbire, Melissa Edmiston, Kofi Asemanyi-Mensah, Joseph Opare, Rachel L Pullan

“…Routine surveillance underestimates the prevalence of LF morbidity in the study area. Process modifications, including re-training of CHWs and health workers should be considered to improve data for service planning and validation of LF elimination. …”
Get full text

Enhancing Supplier Ealuation and Selection in Supply Chain Using a PROMETHEE-Based Decision-Making Support System by Marzieh Afshari, Hassan Farsijani

“…Another well-known multi-criteria method, that is, F-ANP was also used for the decision-making process in this research. The ranking done with both mentioned methods obtained similar results and showed that the Bakhtar supplier is the leader among the five suppliers of Jihadin Parand Industrial Company which has high scores in indicators of product price, quality assurance, order delivery capability, order fulfillment rate and technological capability. …”
Get full text

Application of GIS Technologies in Tourism Planning and Sustainable Development: A Case Study of Gelnica by Marieta Šoltésová, Barbora Iannaccone, Ľubomír Štrba, Csaba Sidor

Get full text

Integrating artificial intelligence in drug discovery and early drug development: a transformative approach by Alberto Ocana, Atanasio Pandiella, Cristian Privat, Iván Bravo, Miguel Luengo-Oroz, Eitan Amir, Balazs Gyorffy

“…Abstract Artificial intelligence (AI) can transform drug discovery and early drug development by addressing inefficiencies in traditional methods, which often face high costs, long timelines, and low success rates. In this review we provide an overview of how to integrate AI to the current drug discovery and development process, as it can enhance activities like target identification, drug discovery, and early clinical development. …”
Get full text

Comparison of Vocational Education Practices of Some Countries in the Context of OECD Labour Force Participation Statistics by Murat Yiğittekin, Sümeyye Mermer

“…After obtaining the data, demographic and economic structures, compulsory education and education management approaches, the historical process of vocational education practices and current vocational education practices of the examined countries were compared. …”
Get full text

Rapid tests to inform triage and antibiotic prescribing decisions for adults presenting with suspected acute respiratory infection: a rapid evidence synthesis of clinical effective... by Katie Scandrett, Jill Colquitt, Rachel Court, Fiona Whiter, Bethany Shinkins, Yemisi Takwoingi, Emma Loveman, Daniel Todkill, Paramjit Gill, Daniel Lasserson, Lena Al-Khudairy, Amy Grove, Yen-Fu Chen

“…In both reviews, any disagreements were resolved through discussion and with a third reviewer if needed. Data extraction Data were extracted by one reviewer using a pre-piloted and standardised form and checked by a second reviewer, with disagreements resolved by discussion. …”
Get full text

Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

“…The study period spans from 2010 to 2020, and the quantile regression method is employed on panel data to conduct the analysis. Methodology The general definition of quantile regression states that if the linear regression model is assumed as the following equation, we have: yi=ˊxiβτ+uτi.  0<τ<1                                                                                 (1) Quantτ(yi|xi)=xiβτ                                                                                  (2) Equation (2) shows the τth conditional quantile function of the y distribution under the condition of random variables x in which the following condition holds: Quantτ(uτi|xi)=0                                                                                              (3) In the quantile regression structure, the effect of observable features on the conditional distribution is estimated through the process of minimizing the absolute value of the error element. …”
Get full text

Evaluating internal accreditation quality in medical education: perspectives of students, faculties, and stakeholders at Adama Hospital Medical College, Adama, Ethiopia, 2024 by Godana Arero, Faska Amdeslasie, Cathy Mwesigwa

“…Data analysis involved descriptive and inferential statistics for quantitative data and thematic analysis for qualitative findings.ResultsQuantitative findings showed that 80% of students rated the internal accreditation process as satisfactory, with notable strengths in curriculum alignment (85%) and faculty performance evaluation (82%). …”
Get full text

Epicardial Adipose Tissue and Heterogeneity Parameters Combined with Inflammatory Cells to Predict the Value of Heart Failure with Preserved Ejection Fraction Patients Post Myocard... by Yu-jiao Song, Xiao-ying Zhao, Lu-jing Wang, Ting Ning, Ming-tian Chen, Pei Liu, Si-wen Chen, Xin-xiang Zhao

“…The optimal cut-off values were identified using time-dependent ROC curves in R software, and Kaplan–Meier event-survival curves were plotted to illustrate the event-free rates based on these optimal thresholds.The median follow-up time was calculated using the reverse Kaplan–Meier method. …”
Get full text

Nanosecond level time synchronization in datacenter network based on Telemetry architecture by Qianli ZHANG, Chaofan ZHANG, Jilong WANG, Xiangyu TANG, Zhengchen SHEN, Hui WANG

“…To solve the problems of the traditional local time synchronization architecture being disconnected from centralized management, requiring extra interaction overhead, meanwhile with less time data susceptible to outliers, the nanosecond level time synchronization system was proposed based on Telemetry for the high-precision time synchronization requirements of data center networks.Combined with the outlier factor detection algorithm, timestamp information within the background traffic of the data center was collected, the large amount of time information reported was processed and analyzed, and a centralized automatic synchronization with nanosecond level precision was eventually achieved, which was convenient for subsequent global network scheduling.The proposed system was implemented and evaluated on the programmable switch.Experimental results show that between multiple hops and at different link rates, the nodes can achieve high-precision time synchronization at the nanosecond level.…”
Get full text

Perbandingan Metode Smart dan Maut untuk Pemilihan Karyawan pada Merapi Online Corporation by Musri Iskandar Nasution, Abdul Fadlil, Sunardi Sunardi

“…The results of calculations using SMART and MAUT indicate that both can be implemented and function properly to determine the best employees. By using alternative data, alternative values, and the same criteria weights, the results obtained that the SMART method gives better results with 22 ratings, while the MAUT method yields 18 ratings. …”
Get full text

Regularized Least Square Regression with Unbounded and Dependent Sampling by Xiaorong Chu, Hongwei Sun

“…This paper mainly focuses on the least square regression problem for the -mixing and -mixing processes. The standard bound assumption for output data is abandoned and the learning algorithm is implemented with samples drawn from dependent sampling process with a more general output data condition. …”
Get full text