bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tarihi Çevrede Yeni Yapı Tasarımının Müze İşlevi Özelinde Değerlendirilmesi
Authors: Arslan Hatice Derya , Orhan Ş. Büşra , Dişli Gülşen 
Published: June 2020

Sosyal, ekonomik ve kültürel açıdan yaşanan değişimler, değişen
ihtiyaçlar, nüfus artışı gibi çeşitli etkenler tarihi çevrede yeni yapıların
yapılmasını zorunlu kılmıştır. Bu bağlamda tarihi çevrede yeni yapı tasarımı
korumacılık olgusunun ortaya çıkışından bu yana sürekli tartışılan bir konu
olmuştur. Özellikle mevcut dokuya uygun olmayan yeni yapıların yapılması tarihi
çevreyi büyük oranda tahrip etmiş, var olan değerler yok olma tehlikesi ile
karşı karşıya kalmıştır. Bütün bunların bir sonucu olarak tarihi çevrede yeni
yapı konusunda uluslararası tüzükler, bildirgeler, ilkeler yayınlanmış, çeşitli
ülkeler konu ile ilgili standartlar oluşturmuştur. Bu çalışmada, Türkiye
ve Avrupa’dan toplam beş adet tarihi çevrede yapılan yeni müze yapısı;
tasarımsal başarısı ile içinde bulunduğu tarihi dokuyla olan ilişkisi ve uyumu
açısından, uluslararası tüzük, bildirge, ilke ve standartların yol
göstericiliğinde değerlendirilmiştir. Bahse konu standartlarda tarihi
çevrede yeni yapı ilkeleri araştırılmış ve ilgili maddelerin değerlendirilmesi
ile tarihi bölgelerde yapılan müzelerin bu standartlara olan uygunluğunun
tespiti amaçlanmıştır. İncelenen müze yapılarında tasarım yaklaşımı olarak
geleneksele öykünme, saygılı yaklaşım ve kontrast oluşturacak şekilde farklı
tasarım yaklaşımlarının olduğu gözlenmiştir. Her üç yaklaşımla da yapılan
tarihi çevrede tasarlanan yeni müze yapılarının araştırma kapsamında incelenen
uluslararası standartlar doğrultusunda belirlenen değerlendirme kriterlerine
uygun olduğu değerlendirilmiştir.
“Öznel Karşıtlık” Formülasyonu ve Animasyon Sinemasında Uyarlama
Authors: Akyürek Yahya Özkan , Taş Alicenap Çiğdem 
Published: June 2020

Gerçeklikiğin
bağlarından özgür yapısı ile, hayali dünyaların ve soyut anlatıların
görselleştirilmesinde eşsiz olanaklar sunan animasyon sineması, edebi
metinlerin uyarlanmasında yüksek potansiyele sahiptir. Dünya’da bu
potansiyelden faydalanarak, seyirci ve eleştirmenlerden olumlu tepkiler alan,
edebi metinlerden uyarlanan pek çok animasyon film üretilmiş ve üretilmeye
devam edilmektedir. Ancak mevcut hayran
kitlesi ile gişe başarısını kolaylaştıran bu yöntem ile animasyon üretilmesine
Türkiye’de yeterince ilgi gösterilmediği gözlemlenmektedir. Ayrıca bu türdeki
animasyon filmlerin dünyadaki örnekleri ile kıyaslandığında benzer başarıları
yakaladıklarını söylemek güçtür.

Bu
makalede, Paul Wells’in uyarlama animasyon filmlerin eleştiri ve analizi için
oluşturduğu “Öznel Karşıtlık” formülasyonu temel alınarak başarılı bulunan 2
yabancı uyarlama animasyon film ve 1 Türk uyarlama animasyon filmi analiz
edilmiştir. Böylelikle bu filmlerin aralarındaki farklılaşmalar ortaya
konularak, Türkiye’de gelecekte üretilecek uyarlama animasyon filmlere fayda
sağlayacak çıkarımlar elde edilmeye çalışılmıştır.
The Digital Generation in Russian Education: from the Urgency of the Problem to Assessing the Impact of Digitalization on Students
Authors: Butsyk S. V. 
Published: June 2020

The objectives of this research are: 1) an analysis of possible pedagogical strategies in relation to two age categories of Russian students (primary schoolchildren; older teenagers and youth) related to the new digital generation; 2) testing an experimental methodology for assessing the degree of influence of digitalization on the activities of older adolescents and youth on a relatively wide range of educational institutions (regular school, two different lyceums, institute) and for a relatively long period (two academic years).Materials and research methods are based on a number of foreign works in the field of pedagogy, psychology, neurophysiology, conducted in the USA, Great Britain, Singapore and a number of other countries, starting from the 2000s, as well as studies from the mid-2010s on the digital generation of Russia. The authors used the methodology for assessing the degree of influence of digitalization on students’ activities, previously published in the journal “Open Education” (No. 1/2019).Results of a study conducted during 2018 and 2019 in several schools of various types and a higher educational institution of one of the largest Russian regions allowed us to make an assumption about the noticeable significance of one of the two key indicators of the author’s methodology – “Significant Impact of Digitalization in the Activities of Students”. According to the author, it may indicate a lower or higher motivation of students in relation to educational and cognitive activities, including those resulting from the positive or negative impact of digitalization.Conclusion. The article describes two pedagogical strategies in relation to different age categories of students, aimed at increasing the motivation for using digital devices for educational and cognitive purposes. The first strategy is aimed at primary schoolchildren and was clearly demonstrated in the early 2000s at the Singapore Institute of Education. The second strategy, aimed at older adolescents and young people, requires the presence of certain social conditions and the consideration of a number of individual factors (average daily time of using digital devices; share of time using digital devices for educational and cognitive purposes; high-quality control of students’ parents or high self-control of students). Testing of the indicated experimental technique allowed the author to identify the boundary numerical values of these factors. At the same time, it is noted that the achievement of a slight negative impact of digital devices on the educational and cognitive activities of students does not require the complete fulfillment of absolutely all three of these factors.
Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm
Authors: Sergushicheva A. P. , Davydova E. N. 
Published: June 2020

The purpose of the article is to present the results of a study on the development of a genetic algorithm to solve the problems of career guidance for graduates of secondary educational institutions and to verify the possibility of its implementation in a computer system. The issue of career guidance for graduates is still relevant, problematic and not fully resolved. According to the authors, the introduction of artificial intelligence technologies in career guidance systems is a promising area that should be paid attention to. Genetic algorithms are widely used to solve search and optimization problems in various subject areas. The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm.Materials and methods. To identify an individual’s predisposition to a specific type of activity, it is necessary to have a list of requirements and contraindications to the profession. Among the ways of describing the norms and requirements for the applicant-specialist are professiograms, lists of necessary competencies and others. To determine the characteristics of the individual that affect the choice of profession, it is possible to use special tests, activating questionnaires, grades in school subjects. The authors carry out the comparison of personality characteristics and requirements through a genetic algorithm. Genetic algorithms belong to the group of evolutionary methods and are based on the evolutionary theory. Among their advantages are conceptual simplicity and wide applicability, resistance to dynamic environmental changes and the ability to self-organize.Results. The genetic algorithm has been developed, in which as a source of information for creating a new population individual certificate evaluations are accepted. Based on these estimates, an initial population of professions is formed. As a result of crossing a pair of individuals from the parent population, a descendant is obtained whose chromosome consists of the genes of both parents. The selection of surviving specimens is based on the percentage of success in the development of each of the professions in the list and the fitness function. The developed algorithm was implemented in a software system. As experiments showed, the genetic algorithm successfully copes with the task of finding the optimal list of professions according to a given criterion.Conclusion. The results of the study show that the use of genetic algorithms provides convenient mechanisms for introducing artificial intelligence methods into the field of career guidance, which improves the quality of recommendations for choosing a profession.
Simulation Research of Business Processes with Queues Using GPSS Studio Modeling Environment
Authors: Devyatkov V. V. , V.Gabalin A. V. 
Published: June 2020

The purpose of research. The goal of this study is to analyze different domestic software packages intended for modeling of business processes involving queues and time parameters. The main analysis criteria are: the possibility of graphical development or conversion of the business process block diagram to the model; automatic generation of simulation model; quick and convenient construction of domain-specific application; the variety of result analysis tools. The relevance of the problems to choose the optimal modeling tool is determined by the need to use only domestic software for business process investigation in the military and some scientific organizations, and by the lack of information about existing software products. In this paper, the subject of study is the Russian simulation modeling environment GPSS Studio.Materials and methods. In this article, the analysis of the possibility of effective usage of GPSS Studio environment during business processes analysis and synthesis is performed. The study was performed on the available examples of different applications of this tool, and by the creation of the model analyzing business processes that are typical for any HR department.Results. Taking into account the performed analysis of functionality and practical applications of the GPSS Studio environment, the good prospects of its application for modeling of business processes involving queues and time parameters are shown. The further system improvements intended for effective business process modeling are proposed.Conclusion. As a result of the performed study, we can do the following conclusions and recommendations:– The GPSS Studio graphical editor can be successfully used for the graphical description of the business processes when it is required to analyze: queues, the load of resources, and the time characteristics of the processing,– The simulation model is automatically generated from the graphical description. The produced model can be finally debugged and verified with the GPSS Studio,– The standalone simulation application working in terms of the subject domain can be built from the simulation model using the simulation environment,– Using this application, it is possible to perform complex business process simulation modeling by means of varying system parameters and performing of singular experiments, a series of dedicated experiments, and optimizing experiments,– Since the GPSS Studio concepts include the possibility to create domain-specific libraries of standard blocks, it is possible to create a library of standard elements similar to IDEF, BPMN, DFD block charts to facilitate faster description and modeling of business processes. After the creation of such a library, there would be no need to manually write GPSS code, since the business process model could be built by a simple connection of standard blocks.
Development and Validation of an Individualized Immune Prognostic Signature for Recurrent Prostate Cancer
Authors: Jin Yaojian , Wang Lan , Lou Hongqiang , Song Chunhan , He Xuying , Ding Mingxing 
Published: June 2020

Background:
Immune-related genes possess promising prognostic potential in multiple
cancer types. Here, we describe the development of an immune-related prognostic signature for
predicting prostate cancer recurrence.

Methods:
Prostate cancer gene expression profiles for 477 prostate cases, as well as accompanying
follow-up information were downloaded from The Cancer Genome Atlas (TCGA) and GEO. The
samples were divided into 3 groups and immune gene sets significantly associated with prognosis
were identified by evaluating the relationship between the expression of 1039 immune genes and
prognosis in the training set. Relative expression levels of these genes were used to identify
prognostic gene pairs. LASSO was used for feature selection and robust biomarkers selected.
Finally, the identified immune prognostic markers were validated using dataset and GEO
validation dataset and their performance compared with existing prognostic models.

Results:
In total, 87 immune genes, significantly associated with prognosis, were identified and
2447 immune gene pairs (IRGPs) established. Univariate survival analysis identified 641
prognosis-associated immune gene pairs. 8-IRGPs were obtained via LASSO feature selection and
an 8-IRGPs signature established. The 8-IRGPs signature exhibited an independent prognosis
value in prostate cancer of the training set, test set, and external validation set (p = <0.001). The 5-
year survival AUC in both the training set and the validation set was >0.7. The 8-IRGPs
outperformed clinical tumor classification features, including T, N, radiation therapy (RT) and
targeted molecular therapy (TMT) (p <0.01). In addition, we compared the prognostic
characteristics of 8-IRGPs with 3 reported prostate cancers and found that 8-IRGPs achieved a
high C index (0.85) and had the highest predictive performance within 10 years of follow-up (HR:
10.5). Finally, we integrated T, N, RT, TMT, and 8-IRGPs and generated a novel alignment chart
to aid the prediction of prostate cancer recurrence in individual patients (p <0.01).

Conclusion:
Here, we identified an 8-IRGP novel prognostic signature for the prediction of
prostate cancer recurrence.
Lipid Nanoformulations in the Treatment of Neuropsychiatric Diseases: An Approach to Overcome the Blood Brain Barrier
Authors: Rehman Saleha , Nabi Bushra , Pottoo Faheem Hyder , Baboota Sanjula , Ali Javed 
Published: June 2020

Background:
Neuropsychiatric diseases primarily characterized by dementia stand third in the global list
of diseases causing disability. The poor water solubility, erratic oral absorption, low bioavailability, poor intestinal
absorption, and the impeding action of the blood-brain barrier (BBB) are the major factors limiting the therapeutic
feasibility of the antipsychotics. Only a small percentage of antipsychotics reaches the therapeutic target site, which
warrants administration of high doses, consequently leading to unwanted side-effects. Hence the main struggle for
the effective treatment of neuropsychiatric diseases occurs “at the gates” of the brain, which can be mitigated with
the use of a nanotechnology-based platform.

Methods:
The goal of this review is to undertake a comprehensive study about the role of lipid nanoformulations in
facilitating the delivery of antipsychotics across BBB along with the available in vitro and in vivo evidence.

Results:
Lipid nanoformulations have attained great popularity for the delivery of therapeutics into the brain. Their
nanosize helps in overcoming the biological barriers, thereby providing easy BBB translocation of the drugs. Besides,
they offer numerous advantages like controlled and targeted drug release, minimizing drug efflux, long storage
stability, augmented bioavailability, and reduced adverse drug effects to attain an optimal therapeutic drug concentration
in the brain. Moreover, employing alternative routes of administration has also shown promising results.

Conclusion:
Thus, it can be concluded that the lipid nanoformulations bear immense potential in overcoming the
challenges associated with the treatment of neuropsychiatric disorders. However, the area warrants further clinical
studies to ensure their commercialization, which could revolutionize the treatment of neuropsychiatric diseases in the
coming decades.
Aromatase Inhibitors for the Treatment of Breast Cancer: A Journey from the Scratch
Authors: Ratre Pooja , Mishra Keerti , Dubey Amit , Vyas Amber , Jain Akhlesh , Thareja Suresh 
Published: June 2020

Background:
Estrogens are essential for the growth of breast cancer in the case of premenopausal as
well as in postmenopausal women. However, most of the breast cancer incidences are reported in postmenopausal
women and the concurrent risk surges with an increase in age. Since the enzyme aromatase catalyses
essential steps in estrogen biosynthesis, Aromatase Inhibitors (AIs) are effective targeted therapy in patients
with Estrogen Receptor positive (ER+) breast cancer. AIs are more effective than Selective Estrogen Receptor
Modulators (SERMs) because they block both the genomic and nongenomic activities of ER. Till date, first,
second and third-generation AIs have been approved by the FDA. The third-generation AIs, viz. Letrozole,
Anastrozole, Exemestane, are currently used in the standard treatment for postmenopausal breast cancer.

Methods:
Data were collected from Medline, PubMed, Google Scholar, Science Direct through searching of
keywords: ‘aromatase’, ‘aromatase inhibitors’, ‘breast cancer’, ‘steroidal aromatase inhibitors’, ‘non-steroidal
inhibitors’ and ‘generations of aromatase inhibitors’.

Results:
In the current scenario of breast cancer chemotherapy, AIs are the most widely used agents which reveal
optimum efficacy along with the least side effects. Keeping in view the prominence of AIs in breast cancer
therapy, this review covered the detailed description of aromatase including its role in the biosynthesis of estrogen,
biochemistry, gene expression, 3D-structure, and information of reported AIs along with their role in breast
cancer treatment.

Conclusion:
AIs are the mainstream solution of the ER+ breast cancer treatment regimen with the continuous
improvement of human understanding of the importance of a healthy life of women suffering from breast cancer.
Bestowal of Quinazoline Scaffold in Anticancer Drug Discovery
Authors: Das Rina , Mehta Dinesh K. , Dhanawat Meenakshi 
Published: June 2020

Background:
Cancer is one of the major causes of human mortality worldwide. A number of existing
antineoplastic medications and treatment regimens are already working in the field, and several new compounds
are in different phases of clinical trials. An extensive series of anticancer drugs exist in the market, and studies
suggest that these molecules are associated with different types of adverse side effects. The reduction of the
cytotoxicity of drugs to normal cells is a major problem in anticancer therapy.

:
Therefore, researchers around the globe are involved in the development of more efficient and safer anticancer
drugs. The output of extensive research is that the quinazoline scaffold and its various derivatives can be explored
further as a novel class of cancer chemotherapeutic agents that has already shown promising activities
against different tumours. Quinazoline derivatives have already occupied a crucial place in modern medicinal
chemistry. Various research has been performed on quinazoline and their derivatives for anticancer activity and
pharmacological importance of this scaffold has been well established.

Objective:
The aim of this review is to compile and highlight the developments concerning the anticancer activity
of quinazoline derivatives as well as to suggest some new aspects of the expansion of anticancer activity of
novel quinazoline derivatives as anticancer agents in the near future.

Methods:
Recent literature related to quinazoline derivatives endowed with encouraging anticancer potential is
reviewed. With a special focus on quinazoline moiety, this review offers a detailed account of multiple mechanisms
of action of various quinazoline derivatives: inhibition of the DNA repair enzyme system, inhibition of
EGFR, thymidylate enzyme inhibition and inhibitory effects for tubulin polymerization by which these derivatives
have shown promising anticancer potential.

Results:
Exhaustive literature survey indicated that quinazoline derivatives are associated with properties of
inhibiting EGFR and thymidylate enzymes. It was also found to be involved in disturbing tubulin assembly.
Furthermore, quinazoline derivatives have been found to inhibit critical targets such as DNA repair enzymes.
These derivatives have shown significant activity against cancer.

Conclusion:
In cancer therapy, Quinazoline derivatives seems to be quite promising and act through various
mechanisms that are well established. This review has shown that quinazoline derivatives can further be explored
for the betterment of chemotherapy. A lot of potentials are still hidden, which demands to be discovered
for upgrading quinazoline derivatives efficacy.
How Specialist Aftercare Impacts Long-Term Readmission Risks in Elderly Patients With Metabolic, Cardiac, and Chronic Obstructive Pulmonary Diseases: Cohort Study Using Administrative Data
Authors: Kaleta Michaela , Niederkrotenthaler Thomas , Kautzky-Willer Alexandra , Klimek Peter 
Published: June 2020

Background
The health state of elderly patients is typically characterized by multiple co-occurring diseases requiring the involvement of several types of health care providers.

Objective
We aimed to quantify the benefit for multimorbid patients from seeking specialist care in terms of long-term readmission risks.

Methods
From an administrative database, we identified 225,238 elderly patients with 97 different diagnosis (ICD-10 codes) from hospital stays and contact with 13 medical specialties. For each diagnosis associated with the first hospital stay, we used multiple logistic regression analysis to quantify the sex-specific and age-adjusted long-term all-cause readmission risk (hospitalizations occurring between 3 months and 3 years after the first admission) and how specialist contact impacts these risks.

Results
Men have a higher readmission risk than women (mean difference over all first diagnoses 1.9%, P<.001), but similar reduction in readmission risk after receiving specialist care. Specialist care can reduce readmission risk by almost 50%. We found the greatest reductions in risk when the first hospital stay was associated with diagnoses corresponding to complex chronic diseases such as acute myocardial infarction (57.6% reduction in readmission risk, SE 7.6% for men [m]; 55.9% reduction, SE 9.8% for women [w]), diabetic and other retinopathies (m: 62.3%, SE 8.0; w: 60.1%, SE 8.4%), chronic obstructive pulmonary disease (m: 63.9%, SE 7.8%; w: 58.1%, SE 7.5%), disorders of lipoprotein metabolism (m: 64.7%, SE 3.7%; w: 63.8%, SE 4.0%), and chronic ischemic heart diseases (m: 63.6%, SE 3.1%; w: 65.4%, SE 3.0%).

Conclusions
Specialist care can greatly reduce long-term readmission risk for patients with chronic and multimorbid diseases. Further research is needed to identify the specific reasons for these findings and to understand the detected sex-specific differences.
Do fogo às origens: um museu para pensar a arte brasileira
Authors: Araújo Soares de Souza Ana Cecília 
Published: June 2020

Este artigo trata de uma pesquisa inicial cujo objetivo é revisitar uma demanda crítica inerente às raízes da arte brasileira a partir do pensamento de Mário Pedrosa, com foco no projeto do Museu das Origens. Sob muitos aspectos, Pedrosa é de grande importância na história da crítica nacional, pois, através dele, as questões da arte brasileira ganharam uma dimensão universal e uma consistência cultural nova. Embora não tenha sido contemplado em seu todo, este museu tem aberto a possibilidade de reconstrução de narrativas, até, então, silenciadas e reprimidas; de linguagens e conhecimentos subalternizados pela ideia de totalidade definida pela racionalidade moderna europeia.