Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…Key research gaps are identified, including the need for large training samples, challenges in Maximum Intensity Projection (MIP) imaging, limitations of 2D architectures, and issues related to overfitting and computational complexity. …”
Get full text

An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

“…The advanced features of apparent damage in hydraulic structures were elucidated by fine-tuning the top-level parameters of the lightweight pre-trained model, thereby mitigating the data dependency issue inherent in the model. Ensemble learning algorithms are employed to classify high-dimensional samples to enhance the accuracy and stability of the classification. …”
Get full text

Enhancing the efficiency and sustainability of soil Bio-Cementation improvement using Persian gum by Tahereh Kariminia, Mohammad A. Rowshanzamir, Hamid Mortazavi Bak, S. Mahdi Abtahi, Arman Khoshghalb, Babak Shahbodagh, Sabihe Soleimanian-Zad, Alireza Baghbanan

“…This study introduces Persian Gum (PG) as an additive to the MICP process to address these issues, enhancing the practical applications of bio-cementation. …”
Get full text

Ensuring radiation safety at the FIFA World Cup 2018 by K. A. Saprykin, A. V. Gromov, S. A. Ivanov

“…In addition, selective radiation monitoring of samples of cooked food and drinking water at the catering facilities of the stadiums was organized. …”
Get full text

The Influence of Dairy Components on the Rheological Properties of Wheat Dough and Assessment of its Suitability for 3D Printing by Alexander N. Martekha, Vasiliy V. Toroptsev, Yuliya E. Kaverina, Igor A. Korotkiy

Get full text

Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

“…There are several state-of-art You Only Live Once (YOLO) models trained on benchmark datasets which fails to cater the challenges of Indian roads. To address these issues, the models need to be trained with a wide variety of Indian data samples for the autonomous vehicles to perform better in India. …”
Get full text

Unveiling the distribution and research patterns of Aspergillus spp. in Saudi Arabia: a systematic and bibliometric analysis by Kholoud K. Alzahrani

“…By analyzing strategic thematic mapping, it was found that the area successfully moved away from mainly medical issues toward a mix that includes agricultural, environmental and biotechnological matters. …”
Get full text

A Novel 18T Hybrid Master-Slave Flip-Flop With Low Power and Delay by G. Rajesh Krishna, Rohit Lorenzo

“…PFC significantly improves speed by reducing the minimum delay by 26.78%, 23.32%, 30.08%, 26.54%,29.36% and 38.79% as compared to the ADTFF, HFF, 18TSPC, LSRFF,TCFF and CSFF respectively.Monte Carlo simulations were performed to analyze the Average Power Consumption and C to Q delay parameters for 1000 samples.Lowering the PMOS transistor count minimizes the overall area design.PFC operates at clock frequency range of up to 1 GHz.…”
Get full text

Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…Socio-political and ethical issues also complicate data sharing and the equitable distribution of benefits. …”
Get full text

Boosting Urban Openspace Mapping with the Enhancement Feature Fusion of Object Geometry Prior Information from Vision Foundation Model by Zijian Xu, Jiajun Chen, Hongyang Niu, Runyu Fan, Dingkun Lu, Ruyi Feng

“…Extensive experiments conducted on the Urban Openspace China Ten Cities (UOCTC) dataset from ten major cities in China, using manually annotated samples, demonstrate the superiority of the proposed UOSAM.…”
Get full text

Especies locales, mercado y transporte en las investigaciones embriológicas: el estudio de la poliembrionía en armadillos a principios del siglo XX Local species, the market, and t... by Susana V. García

“…As we show, access to pregnant females of the species and transport time from the wild to the laboratory were significant issues in the early days of such research. The strategies used to obtain field samples, the temporality of certain phenomena, the commercial circuits of which the organisms under study were a part, and the transformations they underwent in the laboratory all afford a glimpse at some aspects of how these scientists approached their work and what problems they faced in producing new knowledge.…”
Get full text

Limitations of Separating Athletes into High or Low-Risk Groups based on a Cut-Off. A Clinical Commentary by Justin M. Losciale, Linda K. Truong, Patrick Ward, Gary S. Collins, Garrett S. Bullock

“…The purpose of this commentary is to discuss the conceptual and technical issues related to the use of a cut-off in both research and clinical practice…”
Get full text

Possibilities of magnet-resonance tomography usage while examining patients with reccurent genital prolapse by Banakhevych R.M.

Get full text

Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

“…Supervised learning models depend on labeled sample features, but manual labeling becomes costly when the sample size is large. …”
Get full text

Improved Deep Convolutional Generative Adversarial Network for Data Augmentation of Gas Polyethylene Pipeline Defect Images by Zihan Zhang, Yang Wang, Nan Lin, Shengtao Ren

“…Machine vision-based inspection methods have emerged as a key solution to these issues. Despite this, the method also encounters the problem of scarcity of defect samples and uneven data distribution in gas pipeline defect detection. …”
Get full text

Laser Treatment of Wood Surfaces for Ski Cores: An Experimental Parameter Study by Alexander Petutschnigg, Michael Stöckler, Florian Steinwendner, Julian Schnepps, Herwig Gütler, Johann Blinzer, Helmut Holzer, Thomas Schnabel

“…Recently, the production of skis with wooden cores has increased due to changes in customer awareness concerning ecological issues and rising raw material costs for mineral oil resources. …”
Get full text

Preparation and study of the properties of poly[acrylonitrile–co–2-acrylamide-2- methylpropanesulfonic acid] as a polymer base for fibrous ion-exchange materials by Vera M. Chykunskaya, Leonid A. Shcherbina, Iryna A. Budkute, Valery A. Ogorodnikov

Get full text

Simple and Selective Determination of Free Chlorine in Aqueous Solutions by an Electrophilic Aromatic Substitution Reaction Followed by Liquid Chromatography Coupled with Mass Spec... by Avital Shifrovitch, Moran Madmon, Tamar Shamai Yamin, Avi Weissberg

“…Sample preparation involved derivatization at 25 °C for 15 min with 3,4,5-trimethoxyphenylacetic acid (TMPAA) in an aqueous solution prior to analysis. …”
Get full text

Autoencoder-CatBoost Model for Accurate Hyperspectral Quality Assessment of Yunling Snowflake Beef by Lutao Gao, Lilian Zhang, Jian Chen, Lin Peng, Lujiale Guo, Linnan Yang

“…Snowflake beef is highly valued for its nutritional benefits and exquisite taste, yet the inconsistent quality in the market poses challenges for consumers in distinguishing genuine products, leading to economic losses and trust issues. This study aims to develop a rapid, accurate, and non-destructive method for evaluating the quality of snowflake beef to enhance consumer satisfaction and confidence. …”
Get full text

A Fault Diagnosis Framework for Pressurized Water Reactor Nuclear Power Plants Based on an Improved Deep Subdomain Adaptation Network by Zhaohui Liu, Enhong Hu, Hua Liu

“…Fault diagnosis in pressurized water reactor nuclear power plants faces the challenges of limited labeled data and severe class imbalance, particularly under Design Basis Accident (DBA) conditions. To address these issues, this study proposes a novel framework integrating three key stages: (1) feature selection via a signed directed graph to identify key parameters within datasets; (2) temporal feature encoding using Gramian Angular Difference Field (GADF) imaging; and (3) an improved Deep Subdomain Adaptation Network (DSAN) using weighted Focal Loss and confidence-based pseudo-label calibration. …”
Get full text