A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit by Li-Na Pan, Shen-Ao Pan, Guang-Liang Hong, Kun-Wei Chen

“…Data were extracted from the Medical Information Mart for Intensive Care IV version 2.0 (MIMIC-IV v2.0). …”
Get full text

Microalgae diversity in Aedes aegypti larvae guts and breeding sites in Nakhon Si Thammarat, Thailand revealed by light microscopy and metabarcoding by Jeerisuda Promprao, Nuttha Sanevas, Ekaphan Kraichak, Santi Saraphol, Piriya Klankeo, Saowalak Kaewmee, Chonlada Mano, Baby Kyi Soe, Anchittha Rujeerapaiboon, Kanok Preativatanyou, Padet Siriyasatien, Catherine Walton, Narissara Jariyapan

Get full text

SOCIO-ECONOMIC ANALYSIS OF TRADITIONAL AND MODERN BEEKEEPING IN GULMI, NEPAL by Rubisha B., Bandana T., Santosh B.

“…Primary data were gathered through questionnaire surveys, key informant surveys, and focal group discussion. Secondary information was obtained from publications of relevant institutions. …”
Get full text

Comparative Analysis of Minimum Income Guaranteed Schemes within the Member States of the European Union by Simona Maria Stănescu

“…From this perspective, the main goal of the paper is to comparatively analyse the last safety net for the most vulnerable people. The screening of guaranteed minimum resources provides an overview of the applicable statutory basis, schemes in place, types of social benefits concerned, financing and organisation mechanisms, eligibility conditions, duration and time limits. …”
Get full text

A dataset on the distribution of genus Panorpa (Mecoptera, Panorpidae) in the forest and forest-steppe zones of European Russia by Alexander B. Ruchin, Libor Dvořák, Victor V. Aleksanov, Leonid V. Egorov, Mikhail N. Esin, Sergei V. Lukiyanov, Evgeniy A. Lobachev, Maxim I. Garkunov, Oleg N. Artaev, Nikolai V. Shulaev

“…To obtain the most information, various collection methods were used (handheld sweep-net, light traps, pitfall traps, pan traps, Malaise traps, and window traps) and the entire insect activity season. …”
Get full text

ASSESSING THE IMPACTS OF CLIMATIC FACTORS ON COTTON YIELD AND ITS ECONOMIC INDICATORS by Assem A. A. MOHAMED, Mona MAZE, Mohamed M. M. ABDELAZIZ, Alaa A. KHALIL

Get full text

PROSPECTS OF IMPLEMENTATION OF EUROPEAN PRACTICE OF FINANCIAL IMBALANCES REGULATION IN UKRAINE by L. P. Sidelnykova, V. V. Bulyuk, О. S. Novosolova

Get full text

Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in nor... by Jian Wu, Soumitra S Bhuyan, Xiaoli Fu, Quanman Li, Clifford Silver Tarimo, Michael Johnson J Mahande

“…Random forest and boosting algorithms showed the highest net-benefits as per the decision curve analysis.Conclusion All of the machine learning algorithms performed well in predicting the likelihood of labour induction intervention. …”
Get full text

Optimizing Orchard Planting Efficiency with a GIS-Integrated Autonomous Soil-Drilling Robot by Osman Eceoğlu, İlker Ünal

“…The Microsoft Visual Basic.NET programming language was used to create the robot navigation system and drilling mechanism software. …”
Get full text

Research on integrated energy dispatch with a reward and punishment ladder-type carbon trading and source load uncertainty by ZHAO Yiming, PENG Daogang, XU Chunmei, ZHAO Huirong, LI Jianfang

Get full text

Carbon footprint of global cotton production by Zhuhong Yu, Yi Yang

“…With growing global attention to the carbon footprint and net-zero pathways of the fashion and textile industries, it is essential to quantify the life-cycle greenhouse gas (GHG) emissions, or carbon footprint, of cotton production and develop effective emission reduction strategies. …”
Get full text

THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boosting by Liqian Zhou, Jiao Song, Zejun Li, Yingxi Hu, Wenyan Guo

“…THGB first extracts feature information of Ligand-Receptor (LR) pairs using iFeature. …”
Get full text

A review of deep learning methods in aquatic animal husbandry by Marzuraikah Mohd Stofa, Fatimah Az Zahra Azizan, Mohd Asyraf Zulkifley

“…Segmentation techniques, on the other hand, enable the precise delineation of organism boundaries, which is essential information in accurate monitoring systems. Among these key areas, segmentation techniques, particularly through the U-Net model, have shown the best results, even achieving a high segmentation performance of 94.44%. …”
Get full text

Fast prediction method for fatigue life of pump truck boom structure based on ensemble learning model by DONG Qing, SU Youcheng, XU Gening, SHE Lingjuan, CHANG Yibin

Get full text

A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

Get full text

Deep Learning-Based Multistage Fire Detection System and Emerging Direction by Tofayet Sultan, Mohammad Sayem Chowdhury, Mejdl Safran, M. F. Mridha, Nilanjan Dey

Get full text

Inventory of medium- to large-sized wild mammals from District Nagar, Gilgit-Baltistan, Pakistan through camera-trap surveys by Shahab Din, Joong Yeol Park, Mihyeon Kim, Sungwon Hong

Get full text

Two-dimensional flood model for risk exposure analysis of land use/land cover in a watershed by G. Puno, R. Puno, I. Maghuyop

Get full text

The European Right to Social and Medical Assistance by Andrzej Marian Świątkowski

Get full text

A lightweight fabric defect detection with parallel dilated convolution and dual attention mechanism by Zheqing Zhang, Kezhong Lu, Gaoming Yang

“…Specifically, the backbone employed an improved FasterNet architecture for feature extraction. In order to capture multi-scale contextual information, we designed a parallel dilated convolution downsampling (PDCD) block to replace the conventional downsampling block in the backbone. …”
Get full text