bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organisational learning: A scale development study
Authors: Yavas Tuba , Celik Vehbi 
Published: September 2020

Abstract
This study aims to develop a scale in order to determine the organisational learning levels of educational organisations. The scale took its final form after the items were written, expertsâ€™ opinions were received and pilot applications were implemented. A survey was administered to 267 teachers using a simple random sampling method. An 18-item organisational learning scale (OLS) was obtained as a result of the exploratory factor analysis. OLS was prepared on the basis of frequency (never-always) to render a possible 5-point Likert type measurement. This 18-item scale was validated by confirmatory factor analyses (CFAs). The factor analyses carried out revealed an 18-item scale with a total of four subscales. These subscales are continuous learning, cognitive processes, transparency and issue orientation. The goodness of fit index values revealed by the results of the CFA carried out indicated that OLS is valid and acceptable. Cronbachâ€™s alpha reliability coefficients of the factors ranged between 0.65 and 0.81. The overall Cronbachâ€™s alpha reliability coefficient of the OLS was determined as 0.85 and its Kaiserâ€“Meyerâ€“Olkin (KMO) value was determined as 0.87. In conclusion, OLS is proposed as a scale based on which the organisational learning levels of schools can be measured in four different subscales.
Keywords: Organisational learning, organisational learning in school, scale development, continuous learning.
Principles in selecting children books in primary schools: North Cyprus case
Authors: Oznur Sevket , Sadrazam Ejdan 
Published: September 2020

Turkish language went into effect along with the arrival of the Ottomans to the Island in 1571. Since then the Turkish Cypriots have been using Turkish in expressing their customs and traditions and activities. Currently 400.000 people Turkish people on the Island speak, write and broadcast in Turkish. Soon after adapting the use of Latin alphabet by AtatÃ¼rk in Turkey, the Turkish Cypriots began to use the new alphabet as their official language. At present, besides the AtatÃ¼rk Teacher Academy, training primary education teachers, there are eight universities in North Cyprus. In all these institutions there are Turkish Language and Literature, Turkish Teaching departments and Turkish Preparatory Schools for overseas students. In this respect, our aim is to determine the primary school teachersâ€™ (ATA graduates) criterion principles in selecting childrenâ€™s books. The subject question will be dealt with in four sections. The first section includes introduction, under which the problem, aims, significance, numerical data, limitations, and definitions are dealt with. The second section discusses methodology, research model and stages through examples, data collection, analysis, and interpretation. Findings and interpretation will be presented in the third section. The summary, discussion and suggestions will be the scope of the fourth section.

Keywords: Children Books, Turkish Education, Primary Education, Traditional Literature, North Cyprus
CHARACTERISTICS OF INCIDENCE RATE OF COVID-19, ACUTE RESPIRATORY DISEASES, INFLUENZA AND COMMUNITY ACQUIRED PNEUMONIA IN RUSSIA ACCORDING TO CLIMATE, GEOGRAFICAL ASPECTS AND POPULATION DENSITY
Authors: Pshenichnaya Natalia , Lizinfeld Irina , Zhuravlev Grigory 
Published: September 2020

Background: Understanding the impact of geographical aspects and population density on the incidence rate (IR) of respiratory infections in Russia is necessary for successful control under the epidemic.
Aim: to estimate the increase in IR of respiratory infections in 2020 compared to the same period of 2016-2019
Materials and methods: a retrospective study of IR of COVID-19, ARI, influenza and community acquired pneumonia (CAP) in summarily (respiratory infections and COVID-19 morbidity) in the first half of 2020 in comparison with morbidity of ARI, influenza and CAP (respiratory infections morbidity) the same period of 2016-2019 in 85 regions was performed. Additionally the influence of climate on COVID-19 morbidity were estimated.
Results:
The highest excess of respiratory infections and COVID-19 morbidity in 2020 versus the average respiratory infections morbidity in 2016-2019 was observed in Buryatia-107.61%; Zabaykalsky Krai -134.09%; Tuva – 166.34%; the Kaliningrad region – 1023.41%; the Republic of Altai – 1212.78%; Dagestan – 2030.27%.
Buryatia, Tuva, Altai and Zabaykalsky Krai are located next to the China, and also border each other. The Kaliningrad region borders on the EU countries. Dagestan has a maritime border with 3 states, including Iran, where the epidemic COVID-19 began earlier. In 43 of the 85 regions of Russia, this excess was 10-50%; in 35 subjects varied from 50% to 100%.
The correlation between the incidence of COVID-19 and the population density in the regions was weak (r=0.26).
The air pollution, has also a weak relationship (r=0.26) to the incidence rate. Moderate relationship was observed between the severity of negative temperatures in winter and the level of morbidity(r=-0.51). Milder climate probably contributed to the longer persistence of the virus in the environment and social activity.
Conclusion:
Russian regions bordering the PRC, the EU, Central Asia and the Middle East demonstrated the highest IR of influenza, ARI, CAP and COVID-19in summarility in the first part of this year versus the morbidity of influenza, ARI, CAP in average in first half of 2016-2019. IR of COVID-19 has weak correlation with population density and air pollution and moderate negative correlation with winter temperature.
Diversity and Geographical Distribution of Sand Flies Phlebotomus papatasi (Diptera: Phlebotominae) by using Geometric Morphometric Technique from two Iraqi Provinces
Authors: Abd Sahar Abd , Okail Riyadh , Kathiar Soolaf A. , Mzahem Nawras 
Published: September 2020

The variation in wing morphological features was investigated using geometric morphometric technique of the Sand Fly from two Iraqi provinces Babylon and Diyala . We distributed eleven landmarks on the wings of Sand Fly species. By using the centroid size and shape together, all species were clearly distinguished. It is clear from these results that the wing analysis is an essential method for future geometric morphometry studies to distinguish the species of Sand Flies in Iraq.
Bayesian and Non - Bayesian Inference for Shape Parameter and Reliability Function of Basic Gompertz Distribution
Authors: Awad Manahel , Rashed Huda 
Published: September 2020

In this paper, some estimators of the unknown shape parameter and reliability function of Basic Gompertz distribution (BGD) have been obtained, such as MLE, UMVUE, and MINMSE, in addition to estimating Bayesian estimators under Scale invariant squared error loss function assuming informative prior represented by Gamma distribution and non-informative prior by using Jefferys prior. Using Monte Carlo simulation method, these estimators of the shape parameter and R(t), have been compared based on mean squared errors and integrated mean squared, respectively
Some Game via Ἷ-Semi-g-Separation Axioms
Authors: Abdel Karim M. A. , Nasir A. I. 
Published: September 2020

The research demonstrates new species of the games by applying separation axioms via sets, where the relationships between the various species that were specified and the strategy of winning and losing to any one of the players, and their relationship with the concepts of separation axioms via sets have been studied.
El camino al posconflicto: referencias y enseñanzas hacia la paz
Authors: Abella Rodríguez Jorge David , Lesmes Moreno Kevin Andrés 
Published: September 2020

La historia colombiana se ha desenvuelto tradicionalmente en compañía de conflictos internos, que han hecho de su desarrollo uno de los más violentos a nivel regional. La constante presencia de grupos subversivos ha impedido el libre despliegue del estado de derecho y la entera presencia del aparato estatal, lo que ha llevado a que la necesidad de terminar con el conflicto armado haya estado presente en las agendas nacionales de los últimos seis periodos presidenciales
Teniendo esto en cuenta, el presente artículo no pretende profundizar en las causas o desarrollo de las cinco décadas de confrontación armada que parecen estar por terminar, sino con una tónica constructivista, esbozar los principales retos macroeconómicos que Colombia debe afrontar en esta nueva etapa de su historia.
Aproximación a la percepción de la economía colombiana en 2017: evidencia empírica de la comunidad estudiantil eanista
Authors: Rojas Díaz Diego Alejandro 
Published: September 2020

La actualidad económica nacional es un fenómeno que concierne a los colombianos e inversionistas extranjeros. Actualmente se experimenta un momento de alta incertidumbre, a causa del panorama económico internacional, las fuertes coyunturas nacionales en materia de inversión, la duda sobre el papel ético del Estado como organismo y las tensiones en materia política por la alta migración y la crisis económica del Estado venezolano; no obstante, la perspectiva a corto plazo parece optimista, puesto que las economías emergentes siguen creciendo y actuando como aliados de la producción colombiana.
Y aunque el valor de inversión registrado por el DANE para el tercer trimestre de 2017 sobre el PIB fue del 2 %, se prevén cambios dependiendo de las decisiones que se tomen en el nuevo gobierno. En razón a estos cambios, el acercamiento hacia la apreciación colectiva sobre los mismos es lo que se procura evidenciar en esta investigación, mediante una muestra empírica destinada a conocer las opiniones de la comunidad estudiantil de la Universidad EAN.
Graphene oxide and thiol functionalized natural zeolite for the removal of lead from water
Authors: Manjili Mohsen , Silva Marcia R. , Garman David , Zhang Hai-Feng 
Published: September 2020

Abstract
Materials with potentially enhanced adsorption properties were developed by functionalizing natural clean clinoptilolite zeolite (CZ) to fabricate graphene oxide coated zeolite (GOZ) and cystamine dihydrochloride zeolite (CDHZ). The functionalized materials were characterized with Fourier transform infrared spectroscopy (FTIR), Raman, thermogravimetric analysis (TGA), and a scanning electron microscope (SEM) equipped with X-ray spectroscopy (EDS) techniques. The solution pH effect on removal efficiency was investigated at acidic, neutral, and basic pH levels. All adsorbent materials showed the highest adsorption capacities at neutral pH. Experiments were used to assess efficacy for the removal of lead with the sorption kinetics and the adsorption isotherms being determined for the baseline material CZ and treated zeolites. The addition of graphene oxide and thiol functional groups increased the lead removal capacity of natural clean zeolite by 16.81% and 34.53%, respectively. Diffusion studies revealed that the overall lead adsorption process is a particle diffusion process. Theoretical calculations confirmed the pseudo-second-order model as the kinetic mechanism for lead adsorption for CZ, GOZ and CDHZ.
Functional Role of Glycosphingolipids in Cancer
Authors: Zheng Changping , Terreni Marco , Sollogoub Matthieu , Zhang Yongmin 
Published: September 2020

:
Glycosphingolipids (GSLs) are ubiquitous components on animal cell membranes, and exposed on the outer surface. Various studies have demonstrated that they play key roles in cells proliferation, adhesion, motility and differentiation.
Usually, the specific types of GSLs are expressed more highly in tumors than in normal tissues, which are known as tumorassociated antigens. It has been revealed that most tumor cells show altered GSLs patterns on their surface, abnormal GSLs
signaling and biosynthesis, which together play a major role in tumor development. Tumor-associated GSL antigens have
been used in the development of antitumor vaccines. It is no doubt that GSLs play a crucial role in tumor progression and
would be a promising target for cancer treatment.
Molecular Docking Analysis of Flavonoid Compounds with Matrix Metalloproteinase- 8 for the Identification of Potential Effective Inhibitors
Authors: Taherkhani Amir , Orangi Athena , Moradkhani Shirin , Khamverdi Zahra 
Published: September 2020

Background:
Matrix metalloproteinase-8 (MMP-8) participates in the degradation of different
types of collagens in the extracellular matrix and basement membrane. Up-regulation of the
MMP-8 has been demonstrated in many disorders including cancer development, tooth caries, periodontal/
peri-implant soft and hard tissue degeneration, and acute/chronic inflammation. Therefore,
MMP-8 has become an encouraging target for therapeutic procedures for scientists. We carried out a
molecular docking approach to study the binding affinity of 29 flavonoids, as drug candidates, with
the MMP-8. Pharmacokinetic and toxicological properties of the compounds were also studied.
Moreover, it was attempted to identify the most important amino acids participating in ligand binding
based on the degree of each of the amino acids in the ligand-amino acid interaction network for
MMP-8.

Methods:
Three-dimensional structure of the protein was gained from the RCSB database (PDB ID: 4QKZ).
AutoDock version 4.0 and Cytoscape 3.7.2 were used for molecular docking and network analysis,
respectively. Notably, the inhibitor of the protein in the crystalline structure of the 4QKZ was considered
as a control test. Pharmacokinetic and toxicological features of compounds were predicted
using bioinformatics web tools. Post-docking analyses were performed using BIOVIA Discovery
Studio Visualizer version 19.1.0.18287.

Results and Discussions:
According to results, 24 of the studied compounds were considered to be
top potential inhibitors for MMP-8 based on their salient estimated free energy of binding and inhibition
constant as compared with the control test: Apigenin-7-glucoside, nicotiflorin, luteolin,
glabridin, taxifolin, apigenin, licochalcone A, quercetin, isorhamnetin, myricetin, herbacetin,
kaemferol, epicatechin, chrysin, amentoflavone, rutin, orientin, epiafzelechin, quercetin-3-
rhamnoside, formononetin, isoliquiritigenin, vitexin, catechine, and isoquercitrin. Moreover, His-
197 was found to be the most important amino acid involved in the ligand binding for the enzyme.

Conclusion:
The results of the current study could be used in the prevention and therapeutic procedures
of a number of disorders such as cancer progression and invasion, oral diseases, and
acute/chronic inflammation. Although, in vitro and in vivo tests are inevitable in the future.
A Comprehensive Review of Effective Adsorbents Used for the Removal of
Dyes from Wastewater
Authors: Vishnu Dhanya , Dhandapani Balaji , Authilingam Swetha , Sivakumar Shri Vigneshwar 
Published: September 2020

Aim:
The objective of the review paper aims to explore and to provide the insight of various low-cost adsorbents prepared and used in the removal of hazardous dye pollutants from the contaminated industrial effluents.

Background:
The major untreated discharge from the textile industries constitutes a wide range of organic contaminants with the enhanced concentration of biological oxygen demand and chemical oxygen demand inthe water bodies. Dyes are considered as the major water contaminants and this quest the researchers to adopt various technologies to remove the hazardous dye pollutants from the aquatic environment. Dyes are the chemical compounds that tend to adhere themselves with metal or salts by covalent bond formation or complexes by mechanical retention or physical adsorption so as to impart colours to which it is being applied.

Objective:
Numerous treatment methodologies which have been applied to the degradation of dyes. The current study has been focused on the distinct low cost and cost-effective adsorbents used in the removal of various dye pollutants. Also, the application of nanoparticles in the removal of the hazardous dye pollutants had received great interest because of its size and high reactive nature.

Methods:
The treatment technologies used in the removal of dye pollutants from wastewater have been listed as adsorption, coagulation, electrocoagulation, flocculation, membrane filtration, oxidation and biological treatment.

Results:
The complex structure of the dyes causes a great harmful impact on the aquatic environment. Though numerous treatment technologies have been applied, adsorption has been preferred by various researchers because of its cost-effective nature.

Conclusion:
The various adsorbents are used in the removal of cationic, anionic and non-ionic dyes. The different types of adsorbent from agricultural waste, activated carbons, nanomaterials and biomaterials have been discussed with the advantages and limitations.
H3K4 Methylation Status and Lysine Specific Methyltransferase KMT2C Expression Correlate with Prognosis in Lung Adenocarcinoma
Authors: Bosgana Pinelopi , Nikou Sophia , Dimitrakopoulos Foteinos-Ioannis , Logotheti Souzana , Tzelepi Vasiliki , Kalophonos Charalambos , Bravou Vasiliki , Kourea Eleni , Sampsonas Fotios , Zolota Vassiliki 
Published: September 2020

Background:
Genetic events cannot account for the complexity of human carcinogenesis alone. Mutations of epigenetic regulators and aberrations of their expression patterns have been detected in various human malignancies. Methylation of histone H3 at lysine 4 (H3K4me), is an evolutionarily conserved histone modification that marks regions of active transcription and regulates cell growth, migration, and invasion. The MLL/KMT2 family of histone methyltransferases specifically methylate histone H3 at lysine 4.

Objective:
The aim of this study was to explore the role of KMT2C/MLL3 as well as key histone modification activating markers, such as H3K4me2 and H3K4me3 in a cohort of surgically resected human lung adenocarcinomas in an effort to reveal possible biomarkers for lung adenocarcinoma diagnosis and prognosis and potential therapeutic targets.

Method:
The immunohistochemical expression of KMT2C/MLL3, H3K4me2 and H3K4me3 was analyzed in formalin fixed paraffin embedded tissue from 96 patients with lung adenocarcinoma. Results were associated with clinicopathologic parameters and patient’s prognosis.

Results:
Nuclear expression of KMT2C/MLL3 in epithelial cells was independently associated with shorter overall survival. Cytoplasmic H3K4me2 expression was associated withT stage and nuclear H3K4me2 expression was associated with female gender and patients’ prognosis. The latter association persisted after multivariate analysis. No association was found between H3K4me3 expression and clinicopathological data or disease outcome in our cohort of patients.

Conclusion:
These results suggest that the pattern of histone modifications and KMT2C/MLL3 expression can be used as an independent prognostic factor in lung adenocarcinoma, revealing that chromatin remodeling is criticallyinvolved in cancer progression.
Multi-Strategy Learning for Recognizing Network Symptoms
Authors: Sobh Tarek S. 
Published: September 2020

Background:
Many network symptoms may happen due to different reasons in today's computer networks. The
finding of a few kinds of these interesting symptoms is not direct. Therefore, an intelligent system is presented for
extracting and recognizing that kind of network symptoms based on prior background knowledge.

Methods:
Here, the main target is to build a network-monitoring tool that can discover network symptoms and provide
reasonable interpretations for various operational patterns. These interpretations are discussed with the purpose of
supporting network planners/administrators. It introduces Multi-Strategy Learning (MSL) that can recognize network
symptoms. Repeated symptoms or sometimes a single event of heavy traffic networks may lead us to recognize various
network patterns that maybe expressed for discovering and solving network problems.

Results:
To achieve this goal an MSL system that can accommodate network observations. The first technique is done in
an empirical manner. It focuses on selecting subsets data traffic by using certain fields from a group of records related to
database samples using queries. The data abstraction is accomplished and various symptoms are extracted. A second
technique is based on explanation-based learning. It produces a procedure that obtains operational rules. These rules may
lead to network administrators solving some problems later. By using only one formal training example in the domain
knowledge (network), we can learn and analyze in terms of this knowledge.
In this work, to store and maintain network-monitoring traffic, network events, and the knowledge base for implementing
the above techniques a Hadoop and a relational database are used.

Discussion:
Using EBL only is not suitable and it cannot take the same props like other types of available training data set
as SBL can. EBL does not need only a complete domain theory but also need consistent domain theory. This reduces the
suitability of EBL as knowledge acquisition. For this reason, we used EBL for discovering the pattern of network
malfunction in case of a single example only in order to take a complete solution for this example.

Conclusion:
Hence, the proposed system can discover abnormal patterns (symptoms) of the underlying network traffic. A
real network using our MSL, as such, could recognize these abnormal patterns.
The network administrator can adapt the current configuration according to advice and observations that come from that
intelligent system in order to avoid the problems that may currently exist or it may happen in the near future. Finally, the
proposed system is capable to extract different symptoms (behaviors and operational patterns) and provide sensible advice
in order to support network-planning activity.