bluuebunny/crossref_metadata_2025_split huggingface dataset:
University as a Champion of Sustainable Development: Objectives, Approaches and Practice
Authors: Loktionova E. A. , Khlebovich D. I. 
Published: December 2020

The article reviews the objectives connected with present day university functioning within the frames of the UN global agenda, i.e. to ensure sustainable development. The academic community is interested mainly in finding the answer to the question about new approaches to conducting education, research and administrative functions of the university. University is considered as an influential institution, which promotes innovation and train future specialists to make responsible decisions. Values and goals of sustainable development affect universities, thus the aim of the article is to show in what way university can pursue ideology of system changes through realization of its education mission. The UN initiative ‘Responsible Managerial Education’ (RME) is seen as an approach to promoting sustainable development in universities and to designing new education programs. It is pointed out that by realizing principles of responsible managerial education in master course universities can develop practices contributing to goal attainment in the field of sustainable development. As a driver for RME realization the Englishlanguage master course program ‘Sustainable Management' was advanced, which relies on orientation to goals of sustainable development and principles of responsible managerial education. The authors put forward a concept of the program for Russian universities that includes methodological approaches to its construction, rough curriculum and expected outcomes. It is shown that system efforts aimed at attaining goals of sustainable management through responsible managerial education shall be continued by using the proposed solutions and searching for new ones. The authors identify spheres of university functioning that require serious reforms. Conclusions are drawn about new discourses in the field higher education connected with comprehending the involvement of universities in initiatives of sustainable development.
The Impact of Finance and Business Activity of Special Economic Zone Residents on Social and Economic Development of the Region
Authors: Petrikova E. M. , Odnoral L. S. 
Published: December 2020

On earlier stages of Russian economy establishment and development different institutional forms were built, which fostered social and economic development of territories, raising investment, attracting new technologies aimed at producing goods with high added value and cutting unemployment. The article discusses issues of special economic zone (SEZ), characterized as technical-introductory, and their impact on economic development of regions of their location. The efficiency of SEZ work was analyzed according to methodology approved by the Government of the Russian Federation. Statistics on key social and economic figures of regions proves the efficiency of SEZ work and their positive contribution to the territory development. A conclusion was drawn that SEZ in the near future can become key economic centers, which could integrate companies – SEZ residents by the cluster type and characterize the industry specialization of the region and at the same time could become a mighty stimulus for social and economic development of adjoining territories. Investment plans of companies – residents in the region and industry specialization of key companies and clusters on territories will start a new stage of building the efficient work aimed at complex SEZ development.
Identification of the Diagnostic Signature of Sepsis Based on Bioinformatic Analysis of Gene Expression and Machine Learning
Authors: Zhao Qian , Xu Ning , Guo Hui , Li Jianguo 
Published: December 2020

Background:
Sepsis is a life-threatening disease caused by the dysregulated host
response to the infection and the major cause of death of patients in the intensive care unit (ICU).

Objective:
Early diagnosis of sepsis could significantly reduce in-hospital mortality. Though
generated from infection, the development of sepsis follows its own psychological process and
disciplines, alters with gender, health status and other factors. Hence, the analysis of mass data by
bioinformatics tools and machine learning is a promising method for exploring early diagnosis.

Methods:
We collected miRNA and mRNA expression data of sepsis blood samples from Gene
Expression Omnibus (GEO) and ArrayExpress databases, screened out differentially expressed
genes (DEGs) by R software, predicted miRNA targets on TargetScanHuman and miRTarBase
websites, conducted Gene Ontology (GO) term and KEGG pathway enrichment analysis based on
overlapping DEGs. The STRING database and Cytoscape were used to build protein-protein
interaction (PPI) network and predict hub genes. Then we constructed a Random Forest model by
using the hub genes to assess sample type.

Results:
Bioinformatic analysis of GEO dataset revealed 46 overlapping DEGs in sepsis. The PPI
network analysis identified five hub genes, SOCS3, KBTBD6, FBXL5, FEM1C and WSB1.
Random Forest model based on these five hub genes was used to assess GSE95233 and GSE95233
datasets, and the area under the curve (AUC) of ROC was 0.900 and 0.7988, respectively, which
confirmed the efficacy of this model.

Conclusion:
The integrated analysis of gene expression in sepsis and the effective Random Forest
model built in this study may provide promising diagnostic methods for sepsis.
TargetMM: Accurate Missense Mutation Prediction by Utilizing Local and Global Sequence Information with Classifier Ensemble
Authors: Ge Fang , Hu Jun , Zhu Yi-Heng , Arif Muhammad , Yu Dong-Jun 
Published: December 2020

Aim and Objective:
Missense mutation (MM) may lead to various human diseases by
disabling proteins. Accurate prediction of MM is important and challenging for both protein
function annotation and drug design. Although several computational methods yielded acceptable
success rates, there is still room for further enhancing the prediction performance of MM.

Materials and Methods:
In the present study, we designed a new feature extracting method, which
considers the impact degree of residues in the microenvironment range to the mutation site.
Stringent cross-validation and independent test on benchmark datasets were performed to evaluate
the efficacy of the proposed feature extracting method. Furthermore, three heterogeneous
prediction models were trained and then ensembled for the final prediction. By combining the
feature representation method and classifier ensemble technique, we reported a novel MM
predictor called TargetMM for identifying the pathogenic mutations from the neutral ones.

Results:
Comparison outcomes based on statistical evaluation demonstrate that TargetMM
outperforms the prior advanced methods on the independent test data. The source codes and
benchmark datasets of TargetMM are freely available at https://github.com/sera616/TargetMM.git
for academic use.
A Pilot Study for Investigation of Plasma Amino Acid Profile in Neurofibromatosis Type 1 Patients
Authors: Oz Ozlem , Koyuncu Ismail , Gonel Ataman 
Published: December 2020

Background:
Neurofibromatosis, also known as Von Recklinghausen disease, is a
systemic and progressive genetic disease that primarily affects the skin, eyes, nervous system, and
bones. The disease can occur in a variety of ways and can vary in individuals. Metabolomic-based
research using blood samples has enabled new diagnostic methods to be used in the diagnosis of
various diseases, especially cancer. Among the metabolites, profiling of plasma free amino acids
(PFAA) is a promising approach because PFAAs bind all organ systems and play an important role
in the metabolism.

Objective:
This study aimed to determine the characteristics of PFAA profiles in neurofibromatosis
patients and the possibility of using them for early detection and treatment of the disease.

Methods:
Patients with a diagnosis of Neurofibromatosis Type I confirmed by genetic
analysis and healthy individuals of the same age group without any disease were included in
the study. We analysed the nineteen plasma free amino acids (phenylalanine, proline,
threonine, arginine, asparagine, cystine, valine, glutamate, tyrosine, serine, glutamine,
glycine, tryptophane, leucine, lysine, methionine, isoleucine, aspartate and alanine) from
neurofibromatosis Type I patients and control group by liquid chromatography tandem mass
spectrometry (LC-MS/MS) in Metabolism Laboratory of Harran University Research and
Application Hospital. The results of the plasma free amino acid levels were divided into 3
groups as essential, semi-essential, and non-essential. The differences in amino acid levels
between groups were determined.

Results:
The levels of eight amino acids (methionine, arginine, cystine, glutamine, proline,
asparagine, serine, aspartate) were significantly altered in patients with neurofibromatosis type 1.
In essential amino acids, methionine levels were significantly higher in the patient group than
control group. While the levels of arginine and glutamine in semi-essential amino acids were
statistically significantly higher in the patient group, a significant decrease was observed in cystine
and proline levels compared to the control group's amino acid levels. In the non-essential amino
acids group, asparagine, serine and aspartate amino acid levels were significantly higher in the
patient group compared to the control group.

Conclusion:
The current research predicates that eight amino acids, namely methionine, arginine,
cystine, glutamine, proline, asparagine, serine, aspartate can be considered to be valuable
biomarkers for neurofibromatosis type I. This present study is the first to build models for
neurofibromatosis Type I screening using plasma free amino acids and the amino acid profile will
be able to guide the prediction of the complications that may occur during the course of the
disease.
Evolution of Writing Impairment in Spanish Patients with Alzheimer's Disease
Authors: González-Nosti María , Cuetos Fernando , Martínez Carmen 
Published: December 2020

Background:
Although some studies suggest that writing difficulties may be one of the early
symptoms of Alzheimer's disease (AD), they have been scarcely studied compared to oral language. Particularly
noteworthy is the paucity of longitudinal studies that enable the observation of writing impairment
as cognitive decline progresses.

Objective:
The aim of this study was to examine the characteristics of writing in patients with AD and to
monitor the deterioration of their performance over a follow-up period.

Methods:
Sixty-four participants (half with AD and half healthy elderly) were compared in a word and
pseudo-word dictation task. Patients were evaluated every 6 months over a 2.5 year follow-up period.

Results:
The evolution of patient performance and error profile shows a typical pattern of deterioration,
with early damage to the lexical pathway, which later extends to the phonological pathway and eventually
affects peripheral processes.

Conclusion:
These results confirm the presence of writing difficulties from the early stages of AD, supporting
the value of this task for early diagnosis. Furthermore, it allows us to explain the contradictory
data obtained in previous investigations.
Therapeutic Options for the Treatment of 2019-Novel Coronavirus in
India: A Review
Authors: Dhanawat Meenakshi , Pahari Pratyay Kumar , Vyas Sonal , Aman Shahbaz , Singh Uday , Singh Kusheswar Prasad , Tiwari Rohit 
Published: December 2020

Purpose:
As of from 30 Jan to 31 May, 2020, more than 182,143 confirmed cases reported in India along with
86,984 recovered cases and 5164 deceased cases of COVID-19. More than 53 countries are also affected with this pandemic
virus. However, the lack of specific drugs to prevent/treat this pandemic disease is a major problem at this current scenario.
In this regard, this systemic review was conducted to identify the therapeutic approaches and researches which are ongoing
in India against COVID-19.

Methods:
We had screened Google Scholar database with the keywords nCoV, corona virus in India, effect of SARS-CoV-2
in India, 2019-nCoV, treatment pattern in India for nCoV and therapy used to treat nCoV in India. In the final review we
had included a total of 49 articles.

Results:
As a result we had found that Indian Council of Medical Research and NIH have given a standard guideline of Hydroxychloroquine and other antiviral drugs for nCoV, and also there are various researches going on related to nCoV treatment like, chemicals from natural products, herbs and spices commonly used in India, combination therapy of lopinavir and
ritonavir, ultra-violet radiation therapy, molecular dynamic (MD) simulations of molecules for vaccine preparation, Convalescent plasma transfusion (CPT) therapy and many more.

Conclusions:
New drugs and therapy are in the premature stage for this hazardous pandemic. We need more time to gain the
detailed knowledge of the life cycle of the nCoV, which can speed up the drug/vaccine development process against nCoV.
COMPETITION OF JAVANESE AND INDONESIAN: A MIXED-METHODS APPROACH TO YOUNG MULTILINGUALS’ LANGUAGE CHOICE
Authors: Andriyanti Erna , Riazi Mehdi 
Published: December 2020

Multilingualism differs from place to place, with different pressures and outcomes depending on each unique situation. In Indonesian context, an important factor is the status and over prestige afforded to the national language, posing a possible threat to local language vitality. This study reports the position of Javanese and Indonesian as parts of the language repertoire of young Yogyakartan multilinguals in three domains: home, school, and the street. A mixed-methods approach was used and the main data were collected through questionnaire and observations at ten participating high schools. The students’ survey was responded by 1,039 students. Their natural language use was recorded at school playground. Supporting data were collected from language teachers’ survey and interviews with school authorities. The findings show that Javanese and Indonesian still compete in the three domains but not in all sociolinguistic situations. The youths’ Javanese-Indonesian choice is mostly dependent on gender and parental level of education.Keywords: multilinguals, language domains, language choice, sociolinguistic study KOMPETISI BAHASA JAWA DAN BAHASA INDONESIA:PENDEKATAN MIXED-METHODS TERHADAPPILIHAN BAHASA ANAK MUDA MULTILINGUAL AbstrakMultilingualisme berbeda di satu tempat dari tempat lainnya, dengan penekanan dan hasil tergantung pada masing-masing situasi yang khas. Di dalam konteks Indonesia, faktor yang penting adalah status dan prestis yang disematkan untuk bahasa nasional, yang bisa mengancam vitalitas bahasa-bahasa daerah. Artikel ini mengkaji posisi bahasa Jawa dan bahasa Indonesia sebagai bagian dari repertoar bahasa anak muda multilingual di Yogyakarta dengan fokus pada tiga domain: rumah, sekolah, dan jalan. Pendekatan mixed-methods digunakan dan data utama dikumpulkan melalui kuesioner and observasi di sepuluh sekolah menengah. Survei terhadap siswa melibatkan 1.039 responden dan perekaman percakapan natural siswa dilakukan di saat jam istirahat. Data penunjang bersumber pada survei guru dan wawancara dengan pihak otoritas sekolah. Hasil penelitian menunjukkan bahwa penggunaan bahasa Jawa dan bahasa Indonesia masih berimbang di ketiga domain tetapi tidak pada semua situasi sosiolinguistik. Pilihan bahasa oleh responden sebagian besar berkorelasi positif terhadap gender dan tingkat pendidikan orang tua. Keywords: multilingual, domain bahasa, pilihan bahasa, kajian sosiolinguistik
Kemampuan berpikir kreatif matematis dalam penyelesaian soal open-ended jenis PISA berdasarkan level sekolah
Authors: Arista Evie Dwy Wahyu , Mahmudi Ali 
Published: December 2020

Penelitian ini bertujuan untuk mendeskripsikan kemampuan berpikir kreatif matematis siswa dalam menyelesaikan soal open-ended jenis PISA ditinjau dari level sekolah. Jenis penelitian ini adalah penelitian survei dengan sampel penelitian terdiri dari 10 sekolah SMA di Kabupaten Lampung Timur dengan level sekolah tinggi, sedang, dan rendah berdasarkan akreditasi. Sampel penelitian ditentukan dengan stratified proporsional random sampling. Instrumen yang digunakan berupa tes kemampuan berpikir kreatif jenis soal open-ended PISA yang terdiri atas enam butir soal uraian dan pedoman wawancara. Instrumen tes yang digunakan telah dilakukan validasi isi oleh tiga orang ahli dengan rata-rata hasil validasi berkategori baik. Kami menganalisis data yang terkumpul secara deskriptif berdasarkan indikator dan kategori kemampuan berpikir kreatif matematis. Hasil penelitian menunjukkan bahwa siswa yang dijadikan sampel penelitian memiliki kemampuan berpikir kreatif matematis dengan indikator fluency, flexibility, originality, dan elaboration. Kemampuan berpikir kreatif matematis siswa dalam menyelesaikan soal open-ended jenis PISA mayoritas berada pada kategori cukup baik, baik di sekolah level tinggi, sedang, maupun rendah. Mathematical creative thinking skills in solving open-ended PISA-type problems based on school levelAbstractThis research aimed to describe the ability of students’ mathematical creative thinking in solving open-ended problems of PISA type based on the school level. This is survey research which involved 261 tenth graders from 10 schools with categories of the high, medium, and low school based on their accreditation in the district of Lampung Timur as the sample. We used stratified proportional random sampling to determine the sample. The instruments used in this research consisted of a creative thinking ability test with six constructed response items and interview guidelines. The instrument in the form of a test had been validated by three experts and it was proved to be valid in terms of its content with a good category. We analyzed the collected data descriptively based on the indicators and categories of creative thinking ability. The results show that students who became research samples have creative thinking ability with indicators of fluency, flexibility, originality, and elaboration. The majority of students’ mathematical creative thinking ability in solving open-ended problems of PISA type were in a fairly good category, both in high, medium, and low levels of school.
A Meal Detection Algorithm for the Artificial Pancreas: A Randomized Controlled Clinical Trial in Adolescents With Type 1 Diabetes
Authors: Palisaitis Emilie , El Fathi Anas , von Oettingen Julia E. , Haidar Ahmad , Legault Laurent 
Published: December 2020

OBJECTIVE
We developed a meal detection algorithm for the artificial pancreas (AP+MDA) that detects unannounced meals and delivers automatic insulin boluses.

RESEARCH DESIGN AND METHODS
We conducted a randomized crossover trial in 11 adolescents aged 12–18 years with HbA1c ≥7.5% who missed one or more boluses in the past 6 months. We compared 1) continuous subcutaneous insulin infusion (CSII), 2) artificial pancreas (AP), and 3) AP+MDA. Participants underwent three 9-h interventions involving breakfast with a bolus and lunch without a bolus.

RESULTS
In AP+MDA, the meal detection time was 40.0 (interquartile range 40.0–57.5) min. Compared with CSII, AP+MDA decreased the 4-h postlunch incremental area under the curve (iAUC) from 24.1 ± 9.5 to 15.4 ± 8.0 h ⋅ mmol/L (P = 0.03). iAUC did not differ between AP+MDA and AP (19.6 ± 10.4 h ⋅ mmol/L, P = 0.21) or between AP and CSII (P = 0.33). The AP+MDA reduced time &gt;10 mmol/L (58.0 ± 26.6%) compared with CSII (79.6 ± 27.5%, P = 0.02) and AP (74.2 ± 20.6%, P = 0.047).

CONCLUSIONS
The AP+MDA improved glucose control after an unannounced meal.
Medical dilemmas – erythrocytosis
Authors: Lewandowski Krzysztof 
Published: December 2020

AbstractErythrocytosis is defined not only by an increase in the erythrocyte count, hemoglobin concentration, and hematocrit value, but also by the occurrence of specific symptoms, the intensity and frequency of which depend on the character of the initial genetic lesion. Ischemic episodes and thrombotic complications caused by increased blood viscosity are frequently the first clinical manifestation of the disease. This paper represents the current level of knowledge about the pathogenesis of erythrocytosis and the diagnostic algorithms used to precisely define the type of the disease.
The beneficial role of allogenic hematopoietic cell transplantation in blastic plasmacytoid dendritic cell neoplasm
Authors: Ulenberg Emilia , Lewandowski Krzysztof , Bieniaszewska Maria , Zaucha Jan Maciej 
Published: December 2020

AbstractBlastic plasmacytoid dendritic cell neoplasm (BPDCN) is a very rare aggressive hematopoietic malignancy. The median survival is approximately 12 months, and for patients >65 years the survival rate is 7 months, when only chemotherapy is administered. Clinically, it is characterized by skin involvement and most often bone marrow lesions accompanied by lymphadenopathy and in some cases hepato- and/or splenomegaly. The diagnosis is based on histopathological examination of the skin or bone marrow lesions and tumor cell immunophenotyping. The etiopathogenesis of the disease is not fully understood. Therapeutic decisions are based only on the results of a few retrospective analyses and case reports. This article presents the important role of allogeneic hematopoietic cell transplantation in the treatment of BPDCN.
Myeloid-derived suppressor cells level and MUC1 expression in de novo acute myeloid leukemia
Authors: Nawar Sarah M. , Sultan Hala K. , Bedewy Ahmed M. , ElNaggar Amel A. , Mikhael Irene L. 
Published: December 2020

AbstractBackgroundAcute myeloid leukemia (AML) is the most common acute leukemia occurring in adults. It is an aggressive myeloid neoplasm with maturation arrest of myelopoiesis, leading to an accumulation of myeloblasts in the bone marrow and peripheral blood.ObjectiveTo evaluate alterations in myeloid-derived suppressor cells level and MUC1 gene expression in patients with de novo acute myeloid leukemia concerning disease characteristics and response to induction chemotherapy.Patients and methodsThe study was performed on 50 AML patients and 50 healthy controls. Detection of myeloid-derived suppressor cells (MDSCs) in peripheral blood was performed by mononuclear separation and flow cytometry. MUC1 gene expression was performed by RNA extraction, reverse transcription, and real-time PCR at Hematology Department Medical Research Institute, Alexandria University.ResultsWe have demonstrated that AML patients had both increased presence of MDSCs in peripheral blood as well as MUC1 overexpression in comparison to normal controls. MDSCs showed a significant correlation regarding response to induction chemotherapy on day 28. While MDSCs and not MUC1 are associated with inferior response to induction chemotherapy on day 28.ConclusionThe current data suggested that AML patients exhibit an increased presence of MDSCs as well as MUC1 gene overexpression in comparison with normal controls. While MDSCs showed a significant correlation regarding response to induction chemotherapy on day 28, MDSCs and not MUC1 are associated with inferior response to induction chemotherapy on the same day.