An analysis of the role of non-governmental organizations in improving the urban management system from the perspective of the citizens of the metropolis of Tehran by sirous rahimzadeh sisibig, alireza shichaslami, Kianoosh zakerhaghighi

“…The statistical population of the study was the citizens of Tehran and the sample size was 383 people. The data were analyzed using T-test and confirmatory factor analysis. …”
Get full text

Hydrochemical Characteristics, Controlling Factors, and High Nitrate Hazards of Shallow Groundwater in an Urban Area of Southwestern China by Chang Yang, Si Chen, Jianhui Dong, Yunhui Zhang, Yangshuang Wang, Wulue Kang, Xingjun Zhang, Yuanyi Liang, Dunkai Fu, Yuting Yan, Shiming Yang

“…A total of 19.35% of the samples exceeded the Chinese guideline limit of 20 mg/L for NO₃⁻. …”
Get full text

A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied to vehicle detection in the fields of road, marine, and aviation transportation. However, issues such as time asynchrony, heterogeneous sampling intervals, and random sensing errors have posed considerable challenges to the accuracy and robustness of TTTA. …”
Get full text

Prevalence of azithromycin resistance after the COVID-19 era in clinical bacterial isolates from a tertiary care hospital in Gurugram, India by Parbati Debnath, Md Fahim Alam, Manisha Khandait, Fohad Mabood Husain, Nayla Munawar, Aftab Hossain Mondal, Aftab Hossain Mondal

“…The present study found the prevalence of azithromycin resistance in pathogenic bacteria from clinical samples is 22%, indicating an increase in prevalence after the COVID-19 era, which is a major concern. …”
Get full text

Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification by YAN Ming, CAO Guo, XIA Meng

“…We propose a method for change detection in highresolution remote sensing images by means of level set evolution and Support Vector Machine (SVM) classification, which combined both pixellevel method and objectlevel method Both pixelbased change features and objectbased ones are extracted to improve the discriminability between the changed class and the unchanged classAt the pixellevel, the change detection problem is formulated as a segmentation issue using level set evolution in the difference image At the objectlevel, potential training samples are selectedfrom the segmentation results without manual intervention into SVM classifier Thereafter, the final changes are obtained by combining the pixelbased changes and the objectbased changes A chief advantage of our approach is being able to select appropriate samples for SVM classifier training Furthermore, our proposed method helps improving the accuracy and the degree of automation We systematically evaluated it with a variety of SPOT5 images and aerial images Experimental results demonstrated the accuracy of our proposed method…”
Get full text

LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree by Wenzheng Bao, Bin Yang, Rong Bao, Yuehui Chen

“…With these two elements, the distinguishing between the lipoylation samples and the nonlipoylation samples can be treated as a typical classification issue in the field of machine learning. …”
Get full text

A design of experiment strategy for quality control of specialty coffee drink based on sensory analysis and statistical tools by Licarion Pinto, Hilton Lopes Júnior, Enrique Anastácio Alves, Rodrigo Barros Rocha, Alexsandro Lara Teixeira, Jefferson Santos de Gois

“…Grades were assigned to the 44 samples using traditional evaluation (no comments) and guided evaluation (prior sample information). …”
Get full text

Antimicrobial Resistance Profile of Foodborne Salmonella spp. and E. coli Isolates from Rodents and Shrews in Morogoro Municipality, Tanzania by Marie Chantal Uwanyirigira, Elias Nelly Bapfakurera, Elisa Mwega, Sharadhuli Kimera, Abdul A.S. Katakweba

“…Background: Antimicrobial resistance (AMR) is a pressing global public health issue that affects both human and animal health. …”
Get full text

PC-Match: Semi-Supervised Learning With Progressive Contrastive and Consistency Regularization by Mikyung Kang, Sooyon Seo, Moohong Min

“…Our method addresses the issue of uncertain boundaries in the representation space by focusing on the unique characteristics of each class. …”
Get full text

Analysis of Gene Differences Between F and B Epidemic Lineages of Bandavirus Dabieense by Wenzhou Ma, Yujia Hao, Chengcheng Peng, Duo Zhang, Yuge Yuan, Pengpeng Xiao, Nan Li

“…The sources of B-lineage SFTSV samples are mainly concentrated in South Korea, Japan, and the middle and lower reaches of Hubei or Zhejiang in China, with half of the samples coming from humans and half from animals, and the F series SFTSV samples were mainly collected from provinces such as Anhui and Henan in China, with the main source being human patients. …”
Get full text

Invitations in Spanish and Russian communicative cultures: Sociocultural context and politeness strategies by Elena Shorokhova, Palma Peña-Jiménez

“…The analyzed corpus consists of 662 written samples collected through the Discourse Completion Task. …”
Get full text

Choosing data clustering tools for GIS-based visualization of disease incidence in the population by Roman V. Buzinov, Vladimir N. Fedorov, Aleksandr A. Kovshov, Yuliya A. Novikova, Nadezhda A. Tikhonova, Maksim S. Petrov, Ksenia V. Krutskaya

“…The parameter values in the samples directly affected the features of data clustering. …”
Get full text

Evaluation of hoof horn quality by tensile test and hardness test using acoustic emission by Zdenek Havliček, Ivana Novotna, Lucie Langova, Petr Dostal, Jiri Votava, Petr Doležal, Luboš Zabransky

“…Both tests found high variability in sample resistance and acoustic signals depending on the sampling location. …”
Get full text

Efficient single-step reactive compatibilization of hemp flour-reinforced PLA/TPS blends: Exploring eco-friendly alternatives and bio-based compatibilizers from maleinized hemp oil by Alejandro Lerma-Canto, Ivan Dominguez-Candela, Jaume Gomez-Caturla, Vicent Fombuena, Daniel Garcia-Garcia

“…Additionally, following fracture in Charpy impact testing, the samples were subjected to field emission scanning electron microscopy (FESEM) analysis to examine the fractured surface of the various samples.…”
Get full text

Application of Deep Learning Techniques in Uranium Microparticle Fission Track Detection by ZHAO Xiong, REN Fangda, SHEN Yan

“…Polycarbonate material was utilized to fabricate a double-layer structure for the formation of uranium microparticle fission track samples. These samples were irradiated under a thermal neutron fluence of 1.2×1014 cm−2 to create fission tracks. …”
Get full text

Ethiopian isolates of nematophagus fungi have effectively killed Haemonchus contortus infective larvae in vitro by Tadesa Tilahun, Solomon Shiferaw, Hika Waktole, Gezahegne Mamo, Muluken Tekle, Getachew Terefe

“…This research aimed to evaluate the efficacy of nematophagous fungi isolated from soil samples against Haemonchus contortus infective larvae. …”
Get full text

Comparative microbiological and phytochemical study of extracts from leaves of varietal forms of the genus <i>Mentha</i> L. by M. A. Kazakova, V. A. Kurkin, V. M. Ryzhov, A. V. Lyamin, A. V. Kozlov

“…Due to the increasing resistance to antimicrobial drugs of different spectrum of action in the population, the issue of searching for new drugs with antimicrobial activity is currently the most relevant. …”
Get full text

Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Methods: To address this issue, we first performed a pan-cancer analysis to train a convolutional 1-D Neural Network (CNN) using supervised learning. …”
Get full text

Impact of Yttrium Dopant on Physical Properties of Manganese Selenide Nanoparticles synthesized via Spray Pyrolysis for Photovoltaic Applications by Greatman M Onwunyiriuwa, Lebe A Nnanna, Nwamaka I Akpu, Young C Ahameful, Maxwell O Akpu

Get full text

Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

“…Few-shot image classification aims to classify unlabeled samples when only a small number of labeled samples are available for each class. …”
Get full text