Results 21 to 30 of about 1,272 (111)

RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers

Mathematics, 2022
An organization’s success depends on its employees, and an employee’s performance decides whether the organization is successful. Employee performance enhances the productivity and output of organizations, i.e., the performance of an employee paves the ...
Keyur Patel, Karan Sheth, Dev Mehta, Sudeep Tanwar, Bogdan Cristian Florea, Dragos Daniel Taralunga, Ahmed Altameem, Torki Altameem, Ravi Sharma   +8 more
doaj   +1 more source

Soils of the mycological reserve on Lisina Mountain in the Republic of Srpska, Bosnia and Herzegovina [PDF]

Archives of Biological Sciences, 2014
This paper presents the results of soil research in a mycological reserve that is defined as a special nature reserve according to the IUCN categorization.
Eremija S., Knežević M., Kapović Marijana   +2 more
doaj   +1 more source

Combining bioinformatic prediction and assay experiment to identify novel xanthine oxidase inhibitory peptides from Pacific bluefin tuna (Thunnus Orientalis) [PDF]

E3S Web of Conferences, 2020
In this work, we aim to combine bioinformatic prediction with a special experiment to search xanthine oxidase (XOD) inhibitory peptides from myosin of Pacific bluefin tuna (Thunnus Orientalis). The program Peptide Cutter, Peptide Ranker, Peptide Property
Bu Ying, Wang Fei, Zhu Wenhui, Li Xuepeng   +3 more
doaj   +1 more source

Microbiological properties of rankers in the region of Western Serbia [PDF]

Ratarstvo i Povrtarstvo, 2012
Ranker, or humus-silicate soil, is one of the most represented types of soil in the hilly-mountainous region of Western Serbia. Aiming to determine biogenity of such type of soil in Western Serbia, representation of the total microflora, fungi ...
Rasulić Nataša, Delić Dušica, Stajković-Srbinović Olivera, Kuzmanović Đorđe, Jošić Dragana   +4 more
doaj   +1 more source

Identification of the DPP-IV Inhibitory Peptides from Donkey Blood and Regulatory Effect on the Gut Microbiota of Type 2 Diabetic Mice

Foods, 2022
After being treated with protease K, peptides extracted from donkey blood were separated, identified, and characterized. The results showed that Sephadex G-25 medium purified with MW < 3 kDa had the highest dipeptidyl peptidase IV (DPP-IV) inhibition ...
Chaoyue Ma, Dan Liu, Huifang Hao, Xiaotong Wu   +3 more
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Root systems of forest tree species and their soil-conservation functions on the Krušné hory Mts. slopes disturbed by mining

Journal of Forest Science, 2007
The paper describes the root system architecture of the forest tree species Fagus sylvatica L., Quercus robur L., Pinus sylvestris L., Carpinus betulus L., Acer platanoides L., and Alnus glutinosa (L.) Gaertn.
P. Čermák, F. Fér
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Prediction of mortality among neonates with sepsis in the neonatal intensive care unit: A machine learning approach

Clinical Epidemiology and Global Health, 2023
Introduction: The use of machine learning (ML) methods can help clinicians predict neonatal sepsis better. Predicting mortality due to sepsis is essential for benchmarking and assessing NICU healthcare services.
Faiza Iqbal, Prashant Chandra, Aakif Ashar Khan, Leslie Edward S Lewis, Dinesh Acharya, K.E. Vandana, P. Jayashree, Padmaja A. Shenoy   +7 more
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Grammitidaceae endémicas del Perú

Revista Peruana de Biología, 2013
Los integrantes de esta familia fueron reconocidos por Tryon & Stolze (1993) en la Tribu Grammitideae de la familia Polypodiaceae. Sin lugar a dudas, Grammitidaceae comparte estrecha afinidad con Polypodiaceae (Ranker et al., 2004; Schneider et al ...
Blanca León
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Šumska zemljišta i fitocenološke karakteristike šuma crnog bora na području Ozrena

Glasnik Šumarskog Fakulteta Univerziteta u Banjoj Luci, 2009
U radu su prikazana šumska zemlјišta i fitocenološke karakteristike planine Ozren. Raznovrsnost pedološkog pokrivača Ozrena uslovlјena je specifičnim ekološkim uslovima.
Velibor Blagojević, Zoran Govedar
doaj   +6 more sources

A Random Forest based predictor for medical data classification using feature ranking

Informatics in Medicine Unlocked, 2019
Medical data classification is considered to be a challenging task in the field of medical informatics. Although many works have been reported in the literature, there is still scope for improvement.
Md. Zahangir Alam, M. Saifur Rahman, M. Sohel Rahman   +2 more
doaj   +1 more source