bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trabajadores enfermos: investigación social compartida y exigencia de Derechos Humanos
Authors: Velandia Díaz Daniel 
Published: November 2019

Presento características, análisis y desafíos de un proceso de investigación cualitativa que se dio en el estudio sobre organizaciones de trabajadores y extrabajadores enfermos en Colombia. El estudio fue llevado a cabo mediante un convenio entre el Ministerio de Trabajo de Colombia y la Asociación de Abogados Laboralistas de los Trabajadores (Asolaborales). Para comprender las particularidades, el proceso y los alcances de la investigación, propongo la noción de: “investigación compartida”. Como se trata de una reflexión sobre la forma en que se llevó a cabo este estudio de las organizaciones de trabajadores, el análisis toma la forma de introspección sobre los aspectos metodológicos, es decir, de una mirada hacia el interior de los procesos concretos de investigación. Se hace énfasis en el diseño metodológico, el rol del trabajo de campo, el análisis de los datos y las reflexiones colectivas alrededor de la investigación. Como resultado, el artículo muestra cómo el equipo de investigación conformado mayoritariamente por abogados y abogadas obtuvo un conjunto de aprendizajes, mientras conoció y llevó a cabo la investigación cualitativa. La principal conclusión es que la “investigación compartida” permitió el desarrollo de los objetivos de la Asociación de Abogados Laboralistas de los Trabajadores (Asolaborales), fortaleció el diálogo interdisciplinario y pudo constituirse como una herramienta de trabajo para algunos procesos del derecho.
Palabras clave: Metodología en Ciencias Sociales; Antropología del trabajo; Trabajadores enfermos; Derechos económicos, políticos y sociales; Derechos Humanos; Proceso de investigación
Ortaöğretim 9. ve10. Sınıf Biyoloji Ders Kitaplarında Yer Alan Değerler
Authors: Özay Köse Esra , Gül Şeyda 
Published: November 2019

Değerler, insanları ve durumları analiz etmede
kullandıkları istenilen davranışları ve yaşam biçimlerini ifade eden doğru
karar vermede fertlere yardımcı olan temel ölçütler şeklinde ifade
edilmektedir. Burada en önemli görevlerden biri eğitim kurumlarına düşmekte
olup okullarda verilen değerler eğitimi önem arz etmektedir. Okullar müfredatta
net bir şekilde belirtilen veya örtük olan değerleri kazandırmak, öğrencileri
istenilen değerler konusunda yetiştirmek, görevini üstlenmiştir. Programlarda
yer alan kazanımların öğrencilere verilmesinde çoğunlukla kullanılan araç ders
kitapları olduğundan önemli bir yere sahip olduğu söylenebilir. Bundan dolayı
değerlerin ders kitaplarında ne kadar ve nasıl bulunduğu önemli bir husustur.
Bu araştırmada MEB tarafından kabul edilen 9. ve 10. sınıf biyoloji ders
kitaplarında değerlere yer verilme durumunun belirlenmesi amaçlanmıştır.
Araş-tırmada nitel araştırma yöntemlerinden doküman incelemesi kullanılmıştır.
Bu çalışmanın veri kaynağını MEB tarafından 2018–2019 eğitim-öğretim yılında
ortaöğretim okullarına ücretsiz dağıtılan birer adet 9 ve 10. sınıf biyoloji
ders kitabı oluşturmaktadır. Kitaplarda 3 ayrı ünitede yer alan metinler
incelemeye alınmış, bu bölümlerde değinilen değerler tespit edilmiştir.
Verilerin analizinde betimsel analiz yapılmıştır. Betimsel analiz için MEB
tarafından belirlenen değerler kullanılmıştır. Sonra kitaplar cümle cümle
okunarak ilgili değerlerin bulunma sıklığına bakılmıştır. 9 ve 10.sınıf
biyoloji ders kitaplarında yer alan metinler incelenerek elde edilen analizler
sonucu metinlerde, sorumluluk, sevgi,
saygı, hoşgörü, dayanışma, yardımlaşma,
fedakarlık, merhamet, temizlik, kültürel mirasa sahip çıkma, estetik
duyguların geliştirilmesi, empati, dostluk, doğruluk, dürüstlük, adalet,
çalışkanlık, paylaşımcı olmak, iyilik yapmak değerleri tespit edilmiştir. Fakat
bu değerlerden yardımlaşma ve sevgi hariç diğerlerine direk olarak metinlerde
değinilmemiş olup cümlenin verdiği anlamdan bu değerlere vurgu yapıldığı
anlaşılmaktadır.
New Insight for the Prognosis of CCHF: Clinical, Laboratory and Sonography Findings
Authors: Osquee Hamid Owaysee , Taghizadeh Sepehr , Haghdoost Mehdi , Pourjafar Hadi , Ansari Fereshteh 
Published: November 2019

Introduction:
In this article, we report data on confirmed CCHF cases from Iran and describe the
association between studying factors and outcomes of the disease.

Objective:
Crimean Congo Hemorrhagic Fever (CCHF) is an acute and fatal disease
with various clinical and paraclinical characteristics.

Methods:
In the Study design, we evaluated demographic characteristics, clinical, laboratory and sonographic findings of 160 CCHF confirmed cases during 2003 and 2012 in Zabol (A city in Sistan and Baluchestan province of Iran). The association between these factors and the fatal outcome was evaluated by regression analysis.

Results:
The disease had a fatal outcome in 7 (4.4%) of patients. Females had more severe symptoms and higher odds for death (odds ratio11.57, p=0.005). Leukocytosis (p<0.001), PT (p<0.001) and PTT (p=0.008) elongation, AST (p=0.010) and ALT (p>0.001) elevation were significantly associated with fatal outcome. CNS related symptoms (odds ratio 5.9, p=0.027) in clinical examination and ascites (odds ratio 38.4, p=0.012) and liquid in the pelvic cavity (odds ratio 24.2, p=0.004) were also identified as risk factors of death in this study.

Conclusions:
Our data suggest that in addition to clinical and laboratory findings practitioners consider sonography for CCHF prognosis.
Influence of Primary Auditory Cortex in the Characterization of Autism Spectrum in Young Adults using Brain Connectivity Parameters and Deep Belief Networks: An fMRI Study
Authors: Srinivasan Vidhusha , Udayakumar N. , Anandan Kavitha 
Published: November 2019

Background:
The spectrum of autism encompasses High Functioning Autism (HFA)
and Low Functioning Autism (LFA). Brain mapping studies have revealed that autism individuals
have overlaps in brain behavioural characteristics. Generally, high functioning individuals are
known to exhibit higher intelligence and better language processing abilities. However, specific
mechanisms associated with their functional capabilities are still under research.

Objective:
This work addresses the overlapping phenomenon present in autism spectrum through
functional connectivity patterns along with brain connectivity parameters and distinguishes the
classes using deep belief networks.

Methods:
The task-based functional Magnetic Resonance Images (fMRI) of both high and low
functioning autistic groups were acquired from ABIDE database, for 58 low functioning against
43 high functioning individuals while they were involved in a defined language processing task.
The language processing regions of the brain, along with Default Mode Network (DMN) have
been considered for the analysis. The functional connectivity maps have been plotted through
graph theory procedures. Brain connectivity parameters such as Granger Causality (GC) and
Phase Slope Index (PSI) have been calculated for the individual groups. These parameters have
been fed to Deep Belief Networks (DBN) to classify the subjects under consideration as either
LFA or HFA.

Results:
Results showed increased functional connectivity in high functioning subjects. It was
found that the additional interaction of the Primary Auditory Cortex lying in the temporal lobe,
with other regions of interest complimented their enhanced connectivity. Results were validated
using DBN measuring the classification accuracy of 85.85% for high functioning and 81.71% for
the low functioning group.

Conclusion:
Since it is known that autism involves enhanced, but imbalanced components of intelligence,
the reason behind the supremacy of high functioning group in language processing and
region responsible for enhanced connectivity has been recognized. Therefore, this work that suggests
the effect of Primary Auditory Cortex in characterizing the dominance of language processing
in high functioning young adults seems to be highly significant in discriminating different
groups in autism spectrum.
Metabolomics and Pharmacological Screening of Aspergillus versicolor Isolated from Hyrtios erectus Red Sea Sponge; Egypt
Authors: Shreadah Mohamed A. , El Moneam Nehad M.A. , El-Assar Samy A. , Nabil-Adam Asmaa 
Published: November 2019

Background:
Aspergillus Versicolor is a marine-derived fungus isolated from Hyrtios Erectus
Red Sea sponge.

Methods:
The aim of this study was to carry out a pharmacological screening and investigation for the
in vitro biological activity (antioxidant, cholinergic, antidiabetic and anticancer) of Aspergillus Versicolor
crude extract’s active compounds by using different qualitative and quantitative methods.

Results:
The present study results showed that Aspergillus Versicolor crude extracts contain 0.6 mg
total phenolic/mg crude extract. Aspergillus Versicolor also showed a potent antioxidative capacity by
decreasing the oxidation of ABTS. The anticancer and inhibitory effects of Aspergillus Versicolor crude
extracts on PTK and SHKI were found to be 75.29 % and 80.76%; respectively. The AChE inhibitory
assay revealed that Aspergillus Versicolor extracts had an inhibitory percentage of 86.67%. Furthermore,
the anti-inflammatory activity using COX1, COX2, TNF, and IL6 was 77.32, 85.21 %, 59.83%,
and 56.15%; respectively. Additionally, the anti-viral effect using reverse transcriptase enzyme showed
high antiviral activity with 92.10 %.

Conclusion:
The current study confirmed that the Aspergillus versicolor crude extract and its active
constituents showed strong effects on diminishing the oxidative stress, neurodegenerative damage, antiinflammatory,
anti-cancer and anti-viral, suggesting their beneficial role as a promising fermented product
in the treatment of cancer, oxidative stress, Alzheimer's, anti-inflammatory and anti-viral diseases.
Rational Identification of Hsp90 Inhibitors as Anticancer Lead Molecules by Structure Based Drug Designing Approach
Authors: Gupta Sayan D. , Swapanthi Pappu S. , Bhagya Deshetti , Federicci Fernando , Mazaira Gisela I. , Galigniana Mario D. , Subrahmanyam Chavali V.S. , Gowrishankar Naryanasamy L. , Raghavendra Nulgumnalli M. 
Published: November 2019

Background:
Heat shock protein 90 (Hsp90) is an encouraging anticancer target for the development
of clinically significant molecules. Schiff bases play a crucial role in anticancer research because of their ease of
synthesis and excellent antiproliferative effect against multiple cancer cell lines. Therefore, we started our research
work with the discovery of resorcinol/4-chloro resorcinol derived Schiff bases as Hsp90 inhibitors, which
resulted in the discovery of a viable anticancer lead molecule.

Objective:
The objective of the study is to discover more promising lead molecules using our previously established
drug discovery program, wherein the rational drug design is achieved by molecular docking studies.

Methods:
The docking studies were carried out by using Surflex Geom X programme of Sybyl X-1.2 version
software. The molecules with good docking scores were synthesized and their structures were confirmed by IR,
1H NMR and mass spectral analysis. Subsequently, the molecules were evaluated for their potential to attenuate
Hsp90 ATPase activity by Malachite green assay. The anticancer effect of the molecules was examined on PC3
prostate cancer cell lines by utilizing 3-(4,5-dimethythiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT)
assay methodology.

Results:
Schiff bases 11, 12, 20, 23 and 27 exhibiting IC50 value below 1μM and 15μM, in malachite green
assay and MTT assay, respectively, emerged as viable lead molecules for future optimization.

Conclusion:
The research work will pave the way for the rational development of cost-effective Schiff bases as
Hsp90 inhibitors as the method employed for the synthesis of the molecules is simple, economic and facile.
In Search of Reward Deficiency Syndrome (RDS)-Free Controls: The “Holy Grail” in Genetic Addiction Risk Testing
Authors: Blum Kenneth , Baron David , Lott Lisa , Ponce Jessica V. , Siwicki David , Boyett Brent , Steinberg Bruce , Modestino Edward J. , Fried Lyle , Hauser Mary , Simpatico Thomas , Downs Bill W. , McLaughlin Thomas , Hajela Raju , Badgaiyan Rajendra D. 
Published: November 2019

Background:
The search for an accurate, gene-based test to identify heritable risk
factors for Reward Deficiency Syndrome (RDS) was conducted based on hundreds of published
studies about the role of dopamine in addictive behaviors, including risk for drug dependence
and compulsive/impulsive behavior disorders. The term RDS was first coined by Blum’s group
in 1995 to identify a group of behaviors with a common neurobiological mechanism associated
with a polymorphic allelic propensity for hypodopaminergia.

Objectives:
To outline the process used to select risk alleles of reward genes for the Genetic
Addiction Risk Score (GARS) test. Consequently, to address the limitations caused by inconsistent
results that occur in many case-control behavioral association studies. These limitations
are perhaps due to the failure of investigators to adequately screen controls for drug and alcohol
use disorder, and any of the many RDS behaviors, including nicotine dependence, obesity,
pathological gambling, and internet gaming addiction.

Method:
Review of the literature related to the function of risk alleles of reward genes associated
with hypodopaminergia relevant case-control association studies for the selection of alleles
to be measured by the Genetic Addiction Risk Score (GARS) test.

Result:
The prevalence of the DRD2 A1 allele in unscreened controls (33.3%), compared to
“Super-Controls” [highly screened RDS controls (3.3%) in proband and family] is used to exemplify
a possible solution.

Conclusion:
Unlike One Gene-One Disease (OGOD), RDS is polygenetic, and very complex.
In addition, any RDS-related behaviors must be eliminated from the control group in order to
obtain the best possible statistical analysis instead of comparing the phenotype with diseaseridden
controls.
Short Term Load Forecasting Using Bootstrap Aggregating Based Ensemble Artificial Neural Network
Authors: Tahir Muhammad F. , Haoyong Chen , Mehmood Kashif , Larik Noman A. , Khan Asad , Javed Muhammad S. 
Published: November 2019

Background:
Short Term Load Forecasting (STLF) can predict load from several
minutes to week plays a vital role to address challenges such as optimal generation, economic
scheduling, dispatching and contingency analysis.

Methods:
This paper uses Multi-Layer Perceptron (MLP) Artificial Neural Network (ANN) technique
to perform STFL but long training time and convergence issues caused by bias, variance and
less generalization ability, make this algorithm unable to accurately predict future loads.

Results:
This issue can be resolved by various methods of Bootstraps Aggregating (Bagging) (like
disjoint partitions, small bags, replica small bags and disjoint bags) which help in reducing variance
and increasing generalization ability of ANN. Moreover, it results in reducing error in the learning
process of ANN. Disjoint partition proves to be the most accurate Bagging method and combining
outputs of this method by taking mean improves the overall performance.

Conclusion:
This method of combining several predictors known as Ensemble Artificial Neural
Network (EANN) outperforms the ANN and Bagging method by further increasing the generalization
ability and STLF accuracy.
Autism Spectrum Disorder Detection with Machine Learning Methods
Authors: Erkan Uğur , Thanh Dang N.H. 
Published: November 2019

Background:Autistic Spectrum Disorder (ASD) is a disorder associated with genetic and neurological components leading to difficulties in social interaction and communication. According to statistics of WHO, the number of patients diagnosed with ASD is gradually increasing. Most of the current studies focus on clinical diagnosis, data collection and brain images analysis, but do not focus on the diagnosis of ASD based on machine learning.Objective:This study aims to classify ASD data to provide a quick, accessible and easy way to support early diagnosis of ASD.Methods:Three ASD datasets are used for children, adolescences and adults. To classify the ASD data, we used the k-Nearest Neighbours method (kNN), the Support Vector Machine method (SVM) and the Random Forests method (RF). In our experiments, the data was randomly split into training and test sets. The parts of the data were randomly selected 100 times to test the classification methods.Results:The final results were assessed by the average values. It is shown that SVM and RF are effective methods for ASD classification. In particular, the RF method classified the data with an accuracy of 100% for all above datasets.Conclusion:The early diagnosis of ASD is critical. If the number of data samples is large enough, we can achieve a high accuracy for machine learning-based ASD diagnosis. Among three classification methods, RF achieves the best performance for ASD data classification.
Electronic Health Literacy in Swiss-German Parents: Cross-Sectional Study of eHealth Literacy Scale Unidimensionality
Authors: Juvalta Sibylle , Kerry Matthew J , Jaks Rebecca , Baumann Isabel , Dratva Julia 
Published: November 2019

Background
Parents often use digital media to search for information related to their children’s health. As the quantity and quality of digital sources meant specifically for parents expand, parents’ digital health literacy is increasingly important to process the information they retrieve. One of the earliest developed and widely used instruments to assess digital health literacy is the self-reported eHealth Literacy Scale (eHEALS). However, the eHEALS has not been psychometrically validated in a sample of parents. Given the inconsistency of the eHEALS underlying factor structure across previous reports, it is particularly important for validation to occur.

Objective
This study aimed to determine the factor structure of the German eHEALS measure in a sample of parents by adopting classic and modern psychometric approaches. In particular, this study sought to identify the eHEALS validity as a unidimensional index as well as the viability for potential subscales.

Methods
A cross-sectional design was used across two purposive sampling frames: online and paper administrations. Responses were collected between January 2018 and May 2018 from 703 Swiss-German parents. In addition to determining the sampling characteristics, we conducted exploratory factor analysis of the eHEALS by considering its ordinal structure using polychoric correlations. This analysis was performed separately for online–based and paper–based responses to examine the general factor strength of the eHEALS as a unidimensional index. Furthermore, item response theory (IRT) analyses were conducted by fitting eHEALS to a bifactor model to further inspect its unidimensionality and subscale viability.

Results
Parents in both samples were predominantly mothers (622/703, 88.5%), highly educated (538/703, 76.9%), of Swiss nationality (489/703, 71.8%), and living with a partner (692/703, 98.4%). Factor analyses of the eHEALS indicated the presence of a strong general factor across both paper and online samples, and the Wilcoxon rank-sum test indicated that the eHEALS total sum score was not significantly different between the paper and online samples (P=.12). Finally, the IRT analyses indicated negligible multidimensionality, insufficient subscale reliability after accounting for the eHEALS general factor, and a reduced subset of items that could serve as a unidimensional index of the eHEALS across the paper and online samples.

Conclusions
The German eHEALS evidenced good psychometric properties in a parent-specific study sample. Factor analyses indicated a strong general factor across purposively distinct sample frames (online and paper). IRT analyses validated the eHEALS as a unidimensional index while failing to find support for subscale usage.
Faktor Pendorong Keberangkatan TKI dalam Memenuhi Investasi Non Fisik di Kecamatan Selorejo Kabupaten Blitar
Authors: Waluyo Dwi Eko , Sulistyono Setyo Wahyu 
Published: November 2019

Secara teoritis peran investasi non fisik berupa pendidikan dan kesehatan sebagai faktor pendorong (push factor) seseorang menjadi TKI di Kabupaten Malang Provinsi Jawa Timur, dengan metode pengumpulan data untuk memperoleh data primer, sebagai tahap pertama peneliti hadir di Kecamatan Selorejo. Dengan tujuan masalah (1) Menjawab peran investasi non fisik berupa pendidikan sebagai pendorong seseorang menjadi TKI di Kecamatan Selorejo Kabupaten Blitar Provinsi Jawa Timur. (2). Menjawab peran investasi non fisik berupa kesehatan dan pendidikan sebagai pendorong seorang menjadi TKI di Kecamatan Selorejo Kabupaten Blitar Provinsi Jawa Timur . Kabupaten Blitar sebagai situs penelitian sebagai observasi awal, dengan diikuti tahap observasi dengan menggunakan pertanyaan mendalam (deep questions) dengan harapan menjawab secara faktual alasan seorang menjadi TKI secara fenomenalogi diikuti oleh tahapan terakhir berupa collection data, berupa hasil wawancara atau dokumen terkait sebagai pendukung penelitian yang ditujukan kepada mantan TKI atau calon TKI yang pada saat penelitian berada di situs penelitian dengan pendekatan triangulasi data sebagai uji validitas kebenaran dari penelitian. Hasil yang diperoleh dari beberapa responden peran karakter sosial ekonomi informan menjadi TKI senantiasa untuk membantu meringankan beban suami yang memiliki tanggungjawab atas keluarga dan berupaya untuk membiayai pendidikan anak dalam memprioritaskan dalam investasi non fisik dan modal usaha dalam pengembangan usaha suami. Abstract berisi tujuan penelitian, metodologi dan ringkasan hasil utama penelitian. Abstract ditulis dalam bahasa Inggris dan mengikuti format dalam template ini. Peneliti diharapkan melakukan copy dan format painter untuk memasukkan abstract mereka maupun hasil penelitian. Keywords: Integrity, Phenomenology, Public Accountant
Nilai-Nilai Islami pada Budaya Organisasi di Universitas Muhammadiyah Malang
Authors: Cantika Yuli Sri Budi 
Published: November 2019

Penelitian ini bertujuan untuk mengetahui karakteristik budaya organisasi Islami di Universitas Muhammadiyah Malang sebagai upaya meningkatkan kinerja karyawan. Penelitian ini menggunakan metode kualitatif. Penelitian ini menggunakan pendekatan fenomenologi, dengan meneliti pengalaman yang disadari oleh informan (conscious experience). Metode pengumpulan data melalui wawancara, observasi dan dokumentasi sehingga dapat menggali lebih dalam tentang karakteristik budaya organisasi Islami yang ada di Universitas Muhammadiyah Malang. Informan penelitian ini adalah (1) Pimpinan Universitas; (2) Pimpinan Fakultas; (3) Dosen; (4) Karyawan. Teknik analisis data kualitatif dalam penelitian ini menggunakan 3 (tiga) analisis yaitu: Reduksi Data, Penyajian Data, dan Penarikan Kesimpulan. Hasil penelitian ini menyatakan bahwa persepsi terhadap budaya organisasi Islami dilihat dari persepsi pimpinan, dosen dan karyawan terhadap kepemimpinan, norma dan praktek manajemen, cerita dan tokoh, tradisi dan ritual, serta persepsi terhadap simbol. Karakteristik budaya organisasi islami yaitu meliputi (1) Shiddiq untuk mencapai personal excellence yaitu sikap jujur, transparan dan akuntabel, (2) Amanah untuk mencapai inter-personal capital yaitu sikap adil dan komitmen,(3) Tabligh untuk mencapai visionary and communicative leadership yaitu sikap komunikatif dan terbuka, (4) Fathonah untuk mencapai professionalism and technical leadership yaitu cerdas, kompeten dan inovatif.