doi:10.26842/binhm.7.2022.17.1.0027

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Publication Date

Mon Jun 20 2022

Journal Name

Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)

Volume

17

Issue Number

1

DOI

10.26842/binhm.7.2022.17.1.0027

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FIRST RECORD OF SPOTTED FLYCATCHER MUSCICAPA STRIATA (PALLAS, 1764) (PASSERIFORMES, MUSCICAPIDAE) FROM ODISHA AND EASTERN GHATS OF INDIA

Eastern Ghats

First record

India

Muscicapa

Spotted Flycatcher

Bibhu Prasad Panda

Manas Ranjan Sahoo

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This note reported the first record of Spotted Flycatcher Muscicapa striata (Pallas, 1764) (Passeriformes, Muscicapidae) from the state of Odisha, India. This species was recorded from the north and western part of the country as well as from the Western Ghats, but this note reports the first record from the Eastern Ghats of India.

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Publication Date

Tue Jan 18 2022

Journal Name

Materials Science Forum

The Effect of Gamma Radiation on the Manufactured HgBa2Ca2Cu2.4Ag0.6O8+δ Compound

Gamma doses radiation

crystal size

strain

degree of crystallinity

Scherrer

crystallinity and Williamson equations.

zainab j

Balqees A.

Mohammed A.

Kareem A.

Auday H.

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In this article four samples of HgBa₂Ca₂Cu_2.4Ag_0.6O_8+δ were prepared and irradiated with different doses of gamma radiation 6, 8 and 10 Mrad. The effects of gamma irradiation on structure of HgBa₂Ca₂Cu_2.4Ag_0.6O_8+δ samples were characterized using X-ray diffraction. It was concluded that there effect on structure by gamma irradiation. Scherrer, crystallization, and Williamson equations were applied based on the X-ray diffraction diagram and for all gamma doses, to calculate crystal size, strain, and degree of crystallinity. I

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Publication Date

Thu Sep 30 2021

Journal Name

Iraqi Journal Of Science

PFDINN: Comparison between Three Back-propagation Algorithms for Pear Fruit Disease Identification

Pear fruit diseases

k-means clustering

First and second order statistical features

Scaled conjugate gradient backpropagation SCG-BP

Resilient backpropagation R-BP

Bayesian regularization backpropagation BR-BP

Samar Amil

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The diseases presence in various species of fruits are the crucial parameter of economic composition and degradation of the cultivation industry around the world. The proposed pear fruit disease identification neural network (PFDINN) frame-work to identify three types of pear diseases was presented in this work. The major phases of the presented frame-work were as the following: (1) the infected area in the pear fruit was detected by using the algorithm of K-means clustering. (2) hybrid statistical features were computed over the segmented pear image and combined to form one descriptor. (3) Feed forward neural network (FFNN), which depends on three learning algorithms of back propagation (BP) training, namely Sca

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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