bluuebunny/crossref_metadata_2025_split huggingface dataset:
Econometric modeling of the higher education system in Yaroslavl region
Authors: Zholudeva Vera V. 
Published: August 2018

The objective of the study is to analyze the models that describe the processes, running in the education. The article concludes that currently there are important changes and new trends in the sphere of higher education in Russia: the development of higher education is carried out in the conditions of the effective use of modern information technologies. The author emphasized the analysis of the use of distance learning technologies in the higher education system, which is especially important for our country because of the vast territory, the remoteness of many regions from the centers of educational services, due to the growing high cost of these services.The development of Internet technologies, multimedia in conjunction with the growing popularity, the Internet makes it possible to promote education to a new level. That is why today the demand for distance learning in Russia is equal, and in some universities has exceeded the demand for full-time education. In the near future distance learning will take on the main burden in the system of professional training and retraining of specialists due to its mobility, mass, availability and relative cheapness.Also in this article the basic quantitative regularities of the market of higher education of the Yaroslavl region in relation to the economy are determined. In the article, econometric modeling is chosen as a tool for management in the field of vocational education. This is due to the fact that it is able to identify trends and patterns of changes in the indicators of education development in the region, to determine the consequences of a development strategy that contributes to the understanding of the processes taking place in the higher education system. Econometric models, used for forecasting in the education system are analyzed; their advantages and disadvantages are revealed. Some of them are disclosed in the paper on the example of modeling the system of higher education in the Yaroslavl region.As the result of analyzing the statistical data of the regional office of Federal State Statistics Service in Yaroslavl region the following models were developed: a model that shows how the application of distance technologies in higher education is related to socio-economic indicators; the regression model of correlation between the system of higher education and the economy (GRP); the model of forecasting the number of students in different educational categories; the econometrical model of connectivity between the education expenditures and economic factors. The paper evaluates the impact of educational and demographic indicators on the education level index of the Yaroslavl region. The econometrical models, constructed in the research, represent the informational basis for modernization of regional higher education system and elaboration of social-economic strategies of the regional development. The proposed statistical tools of evaluation and forecasting education system development can be used for decision-making and planning on the regional level.
Psychopharmacotherapy of Obsessive-Compulsive Symptoms within the Framework of Tourette Syndrome
Authors: Rothenberger Aribert , Roessner Veit 
Published: August 2018

:While Behavioral Therapy (BT) should be recommended as the first step in the treatment of OCD as well as TS, medication can be added for augmentation and in certain situations (e.g. family preference, BT not available or feasible) the priority may even reverse. This narrative review is given on the complexity of drug treatment in patients comorbid with obsessive-compulsive disorder (OCD) and Tourette syndrome (TS) and other tic problems. OCD with TS is a co-occurring combination of the two generally delimitable, but in detail, also overlapping disorders which wax and wane with time but have different courses as well as necessities and options of treatment. Distinct subtypes like “tic-related OCD” are questionable. Obsessive-compulsive symptoms (OCS) and tics are frequently associated (OCS in TS up to 90%, tics in OCD up to 37%). Sensory-motor phenomena like urges and just-right feelings reflect some behavioral overlap. The main additional psychopathologies are attention-deficit hyperactivity disorder (ADHD), mood problems and anxiety. Also, hair pulling disorder and skin picking disorder are related to OCD with TS. Hence, the assessment and drug treatment of its many psychopathological problems need high clinical experience, careful planning, and ongoing evaluation/adaptation. Drugs are able to reduce clinical symptoms but cannot cure the disorders, which should be treated in parallel in their own right; i.e. for OCD serotonin reuptake inhibitors (SSRI) and for TS (tics), certain antipsychotics can be successfully prescribed. In cases of OCD with tics, when OCS responds only partially, an augmentation with antipsychotics (recommended: risperidone and aripiprazole) may improve OCS as well as tics. Also, the benzamide sulpiride, an atypical antipsychotics, may be beneficial in treating the combination of OCS, tics and anxious-depressive problems.:Probably, any additional psychopathologies of OCD might attenuate the effectiveness of SSRI on OCS; on the other hand, in cases of OCD with tics, SSRI may reduce not only OCS but also stress sensitivity and emotional problems and thus leading to better selfregulatory abilities, useful to improve tic suppression.:In sum, some clinical guidance can be given, but there remain many uncertainties because of a scarce database for psychopharmacotherapy in OCD with TS.
Virtual Screening, Docking, Synthesis and Bioactivity Evaluation of Thiazolidinediones as Potential PPARγ Partial Agonists for Preparation of Antidiabetic Agents
Authors: Zhang Beina , Shu Mao , Xu Chunmei , An Chunhong , Wang Rui , Lin Zhihua 
Published: August 2018

Background:Peroxisome proliferator-activated receptor gamma (PPARγ) is one of the key targets of insulin resistance research, in addition to being ligand-activated transcription factors of the nuclear hormone receptor superfamily with a leading role in adiposeness activation and insulin sensitivity. They regulate cholesterol and carbohydrate metabolism through direct actions on gene expression. Despite their therapeutic importance, there are dose limiting side effects associated with PPARγ drug treatments, thus a new generation of safer PPARγ drugs are being actively sought after treatment.Methods:In this study, we used computer aided drug design to screen new series of PPARγ ligands, and synthesized a series of potential thiazolidinedione derivatives such as 5,7- dibenzyloxybenzyl-3-hydroxymethyl-4H-coumarin-4-ketone, using 4-steps to synthesize the target compounds and built streptozotocin (STZ) induced insulin resistance rat model to measure their antidiabetic activity.Results:We found that 10 mg/kg concentration of compound 0701C could significantly decrease blood glucose and serum PPARγ, serum insulin levels in insulin resistance model rat.Conclusion:We would conclude that compound 0701C might serve as a potential PPARγ partial agonist.
Implementation and Analysis of Classification Algorithms for Diabetes
Authors: Choubey Dilip Kumar , Paul Sanchita , Shandilya Smita , Dhandhania Vinay Kumar 
Published: August 2018

Background:In this era of cutting edge research, though one of the ubiquitous facilities accessible to modern man is state of the art medical care yet diabetes has emerged as one of the major ailments afflicting the present generation. So the prime necessity of this age has transformed into providing cheap and sustainable medical care against such major diseases like diabetes. In layman’s terms Diabetes may be defined as a physiological condition wherein the blood glucose level is more than the prescribed level on a regular basis.Objectives:So the prime objective of this work is to provide a novel classification technique for detection of diabetes in a timely and effective manner.Methods:The proposed work comprises of four phases: In the first phase a “Localized Diabetes Dataset” has been compiled and collected from Bombay Medical Hall, Mahabir Chowk, Pyada Toli, Upper Bazar, Jharkhand, Ranchi, India. In the second phase various classification techniques namely RBF NN, MLP NN, NBs, and J48graft DT have been applied on the Localized Diabetes Dataset. In the third phase, Genetic algorithm (GA) has been utilized as an attribute selection technique through which six attributes among twelve attributes have been filtered. Lastly in the fourth phase RBF NN, MLP NN, NBs and J48graft DT has been utilized for classification on relevant attributes obtained by GA.Results:In this study, comparative analysis of outcomes obtained by with and without the use of GA for the same set of classification technique has been done w.r.t performance assessment. It has been conclusively inferred that GA is helpful in removing insignificant attributes, reducing the cost and computation time while enhancing ROC and accuracy.Conclusion:The utilized strategy may likewise be executed for other medical issues.
Antiproliferative Activity and Characterization of Metabolites of Aspergillus nidulans: An Endophytic Fungus from Nyctanthes arbor-tristis Linn. Against Three Human Cancer Cell Lines
Authors: Sana Talea , Siddiqui Bina S. , Shahzad Saleem , Farooq Ahsana D. , Siddiqui Faheema , Sattar Samia , Begum Sabira 
Published: August 2018

Background:
Endophytic fungi are receiving attention as sources of structurally novel
bioactive secondary metabolites towards drug discovery from natural products. This study reports
the isolation and characterization of secondary metabolites from an endophytic fungus Aspergillus
nidulans, associated with Nyctanthes arbor-tristis Linn., a plant which has a traditional use to
cure many ailments including cancer.

Objective:
The objective of this study was to evaluate the antiproliferative activity of the metabolites
of A. nidulans from N. arbor-tristis on three human cancer cell lines, lung (NCI-H460),
breast (MCF-7) and uterine cervix (HeLa), and carry out their characterization.

Methods:
The extracts of the endophytic fungus cultured on potato dextrose agar were subjected
to various chromatographic techniques. Structures of pure compounds were determined using
spectroscopic techniques. The non-polar constituents were analyzed by GC-MS. Antiproliferative
activity was determined by sulforhodamine B (SRB) assay.

Results:
The extracts and fractions showed moderate to good growth inhibition of the aforementioned
human cancer cell lines. The broth extract was most potent (IC50 = 10 ± 3.1 μg/mL and
LC50= 95 ± 3.9) against HeLa whereas petroleum ether insoluble fraction of mycelium was most
active against NCI-H460 and MCF-7 (IC50 = 10 ± 2.1 µg/mL and 18 ± 3.1 µg/mL respectively).
GC-MS led to identify 12 compounds in mycelium and 19 compounds in broth. Four pure compounds
were isolated and characterized one compound 5, 10-dihydrophenazine-1-carboxylic acid
(1) from broth and three 1-hydroxy-3-methylxanthone (2), ergosterol (3) and sterigmatocystin (4)
from mycelium. 1 has not been reported earlier as a plant/fungal metabolite while 2-4 are new
from this source. Sterigmatocystin exhibited growth inhibitory effect (IC50 = 50 ± 2.5 µM/mL)
against only MCF-7 cell line whereas other compounds had IC50 > 100.

Conclusions:
In this paper, the cytotoxicity of mycelium and broth constituents of endophytic
fungus Aspergillus nidulans from Nyctanthes arbor-tristis is reported for the first time. The study
shows that fungus Aspergillus nidulans from Nyctanthes arbor-tristis is capable of producing biologically
active natural compounds and provides a scientific rationale for further chemical investigations
of endophyte-producing natural products.
The Matrix Metalloproteinases Panel in Multiple Sclerosis Patients Treated with Natalizumab: A Possible Answer to Natalizumab Non- Responders
Authors: Balasa Rodica , Bianca Ciurba , Septimiu Voidezan , Iunius Simu , Adina Hutanu , Sebastian Andone , Andreea Romaniuc , Anca Motataianu , Smaranda Maier 
Published: August 2018

Background:
In the lymphocyte migration across the blood-brain barrier (BBB) in multiple
sclerosis (MS), matrix metalloproteinases (MMPs) play an important role in the degradation of the basal
membrane. Natalizumab (NAT), a monoclonal antibody, binds to the alpha-4 (α4) integrin leading
to BBB impermeability. Approximately 30% of NAT-treated patients show clinical or MRI signs of
BBB disruption.

Objective:
To determine whether NAT significantly influences the MMPs serum levels and to what
extent these could be used as biomarkers in relapsing-remitting MS (RRMS) patients.

Materials and Methods:
This prospective study over a period of 8 months of NAT treatment, included
30 RRMS patients (mean age 38 ± 6 years; mean MS duration 12 ± 5 years), of which ten were initially
naive to NAT and 15 were healthy controls. We determined the serum levels of the MMPs Panel
(MMP1, MMP2, MMP3, MMP7, MMP8, MMP9, MMP10, MMP12, and MMP13) quantified by a
multiplex method at the beginning and end of the study.

Results:
After 8 months of NAT treatment, a statistically significant decrease was found in MMP9,
MMP2, MMP3, MMP8, and MMP10 levels. Relapses during the study were correlated with a variation
of MMP12 and MMP13 serum levels. MMP9 had the most numerous correlations with the EDSS
score, Rio score, and duration of NAT treatment. MMPs signature (the sum of all MMPs) and the
MMP9/MMP2 ratio significantly decreased during the study.

Conclusion:
1. The serum level of MMP9 significantly decreased by NAT treatment and correlates
with MS activity; 2. After eight months of NAT treatment, the MMPs signature and the MMP9/MMP2
ratio decreased; 3. MMP9 might be used as a biomarker in MS patients treated with NAT.
Synthesis and Anticonvulsant Activity of 3-(alkylamino, alkoxy)-1,3,4,5- Tetrahydro-2H-benzo [b] azepine-2-one Derivatives
Authors: Huang Xia , Chen Tie , Han Rong-Bi , Piao Feng-Yu 
Published: August 2018

Background & Objective: A series of novel 3-Substituted-1,3,4,5-Tetrahydro-2H-benzo [b]
azepine-2-one Derivatives (4, 5, 7, 10, 12, 5a-j, 8a-e) were synthesized from 1,2,3,4-Tetrahydro-1-
naphthalenone. The structures of these compounds were confirmed by IR, 1H NMR, 13C NMR, MASS
spectra and elemental analysis. Their anticonvulsant activity was evaluated by the maximal electroshock
(MES) test, subcutaneous pentylenetetrazol (scPTZ) test, and their neurotoxicity was evaluated
by the rotarod neurotoxicity test. Compound 4 showed the maximum anticonvulsant activity against
the maximal electroshock test (ED50=26.4, PI =3.2) and against the subcutaneous pentylenetetrazol
test (ED50=40.2, PI =2.1).

Conclusion:
Possible structure-activity relationship was discussed.
A Novel Classifier Design Algorithm Based on Gray Relation Theory
Authors: Han Hui , Li Jingchao , Chen Xiang , Ying Yulong 
Published: August 2018

Background:
With the technical development of counter-reconnaissance and antijamming,
communication system becomes more and more complex, and therefore, the recognition
of communication signal becomes a challenging task according to recent patents. In order to achieve
successful recognition and classification of radiation source signal under variant SNR environment,
the design and selection of classifier are one of the key points.

Methods:
Gray relation theory can solve the learning problem with a small number of samples and
its algorithm is simple and can solve the issue of generality versus accuracy, which is very suitable
for dealing with fuzzy mathematical problems. However, the selection of distinguishing coefficient
has a direct effect on the recognition results by gray relation classifier. For conventional gray relation
classifier, the distinguishing coefficient is usually set as a fixed value of 0.5, and for different
types of signals, its recognition rate varies. Aiming at this issue, an improved adaptive gray relation
classifier algorithm is proposed in the paper.

Results:
The simulation results show that the recognition rate can still reach more than 87% even at
the SNR of 10dB.

Conclusion:
The proposed methods can improve the anti-jamming capability of the classifier, which
can be widely used in the fields of electronic reconnaissance, fault diagnosis and image processing.
Respuesta funcional de Phytoseiulus persimilis sobre Oligonychus punicae (Acari: Phytoseiidae, Tetranychidae) en hojas de aguacate
Authors: García-Ángel Omar , Cerna-Chávez Ernesto , Aguirre-Uribe Luis Alberto , Ochoa-Fuentes Yisa María , Chacón-Hernández Julio César , Landeros-Flores Jerónimo 
Published: August 2018

Se evaluó la respuesta funcional de Phytoseiulus persimilis (Athias-Henriot, 1957) sobre diferentes densidades y estados de desarrollo del ácaro del aguacate Oligonychus punicae (Hirst, 1926) bajo condiciones de laboratorio. Los resultados muestran nula depredación en el estado de huevo, mientras que para el resto de los estados, el depredador exhibió una respuesta funcional tipo II. El máximo consumo de P. persimilis sobre O. punicae fue en promedio de 23.4 y 14.67 para larvas y ninfas respectivamente a una densidad de 64 presas ofrecidas, mientras que el máximo promedio de consumo en hembras adultas de O. punicae fue de 6.07 adultos a una densidad de 16 adultos hembra ofrecidos. Los resultados de la depredación muestran que P. persimilis puede ser utilizado como un agente de control biológico.
Analisis Pengaruh Bahan Dasar Terhadap Indeks Viskositas Pelumas Berbagai Kekentalan
Authors: Siskayanti Rini , Kosim Muhammad Engkos 
Published: August 2018

Pelumas adalah zat kimia, yang umumnya berupa cairan, yang diberikan di antara dua benda yang bergerak dengan tujuan untuk mengurangi gaya gesek. Pelumas dibuat dari 70-90 % campuran minyak pelumas dasar dan ditambah dengan bahan aditif untuk meningkatkan sifat-sifatnya. Pelumas dasar dapat dikelompokkan menjadi 3 yaitu pelumas mineral, pelumas nabati dan pelumas sintetik. Salah satu fungsi pelumas adalah sebagai pendingin mesin dari panas yang timbul akibat gesekan dan penyekat. Ketahanan pelumas terhadap perubahan temperatur sangat dipegaruhi oleh jenis bahan dasar pelumas. Tujuan penelitian ini untuk mengetahui pengaruh bahan dasar pelumas terhadap perubahan temperatur yang diukur dengan nilai Indeks Viskositas. Penelitian dilakukan dengan cara membuat pelumas mesin dengan berbagai kekentalan dengan penambahan aditif yang sama, hanya saja jenis minyak lumas dasar yang digunakan berbeda tetapi tetap mengacu pada standar karakteristik pelumas yang diuji. Dari 5 sampel yang diuji yaitu DEO API CI-4 SAE 15W-40, PCMO API SN SAE 10W-40, MCO API SL SAE 10W-30, HO ISO VG 32, TO API TO-4 SAE 10W menunjukkan bahwa semakin tinggi golongan bahan baku yang digunakan dalam pembuatan pelumas maka semakin tinggi juga nilai Indeks Viskositasnya. Hal ini menunjukkan bahwa kualitas pelumas juga semakin baik.
Kinerja dan kinetika produksi biohidrogen secara batch dari sampah buah melon dalam reaktor tangki berpengaduk
Authors: Sarlinda Febrina , Sarto Sarto , Hidayat Muslikhin 
Published: August 2018

Abundant amount of melon fruit waste with high sugar anda water content is potential as a substrate for hydrogen production by dark fermentation. This study investigated the performance of biohydrogen production from melon fruit waste in a stirred tank reactor with initial concentration 13100 mg sCOD/L, in a room temperature, initial pH 7 and controlling final pH 5.5 by adding NaOH. The fermentation lasted for 24 hours. pH, VS, sCOD, VFA, biogas volume, hydrogen content, and cell concentration was analized every hour to determine the performance of reactor. Hydrogen content yielding 16.20% with hydrogen production rate (HPR) of 458.12 mL/Lreactor/day in STP condition. Substrate consumption at the end of fermentation reached 24.61% sCOD and 78.28% VS. Metabolite products was dominated by acetate and butyrate with butyrate to acetate ratio of 1.2. The kinetic of product formation was investigated by the kinetic model of Gompertz. Meanwhile the kinetics of cell growth was approximated by Logistics model.
Recovery Ion Hg2+ dari Limbah Cair Industri Penambangan Emas Rakyat dengan Metode Presipitasi Sulfida dan Hidroksida
Authors: Fadlilah Ilma , Prasetya Agus , Mulyono Panut 
Published: August 2018

Unlicensed gold mining activities (PETI) using mercury (Hg) as a gold element binder is called the amalgamation process. Mercury is a heavy metal toxic. The use of mercury can potentially cause pollution in environment, especially the aquatic environment. For overcoming the heavy metals mercury in liquid waste, it needs an alternative wastewater treatment method called chemical precipitation. This study is aimed to recover Hg2+ ions from liquid wastes by using sulphide precipitation and hydroxide methods. This research studied the effect of pH on Hg ions which is deposited in the precipitation process and found out the rate of Hg precipitation formation. Precipitation was done by using sodium sulphide (Na2S) 0.3 M and Ca(OH)2 0.004 M as a precipitation agent with rapid mixing speed for about 200 rpm for 3 minutes and continued with slow mixing for about 40 rpm for 30 minutes. Then, just let the liquid sample be for 24 hours to precipate the precipitate formed. The results show that precipitation method by using a Na2S solution can decrease the content of Hg in HgCl2 synthetic waste. An optimum mass of HgS precipitate of 0,0458 g was achieved pH 9 for 200 mL of wastewater liquid with a removal efficiency percentage up to 99.81%. The concentration of mercury can be derived from 130 ppm to 0.25 ppm. The rate of formation of HgS precipitate was obtained 0.0004g/ hour. While, hydroxide precipitation method can decrease mercury level up to 90,11% at pH 12 and mass of Hg (OH)2 precipitate obtained is 0,2784 g. However, the result of EDX analysis of the precipitate of Hg (OH)2 shows that the content of Hg precipitate is just 0.281%.
Dyslipidemia Management after Pre-eclampsia: What is the Threshold for Treatment Due to Increased Cardiovascular Risk?
Authors: Rodger Sheila , Sia Winnie 
Published: August 2018

Growing evidence shows that women with a history of preeclampsia, pregnancy-induced hypertension or gestational diabetes are at increased long-term risk of cardiovascular disease (CVD). This was incorporated in the American Heart Association’s 2011 guideline on the prevention of CVD in women and was recently reflected in the 2016 Canadian Cardiovascular Society’s guidelines, suggesting that young women who would not formerly have been considered for primary CVD prevention may benefit from screening for dyslipidemia. However, the indications and targets for medical treatment of dyslipidemia postpartum remain unclear. We present the case of a 31yo G1P1L2 woman with preeclampsia, preterm delivery and dyslipidemia who had active vascular risk reduction postpartum, including adjustment of antihypertensives, diet and exercise counselling for low-density lipoprotein cholesterol reduction and weight loss promotion, and consideration of an HMG-CoA reductase inhibitor, which was ultimately decided against given the improvements seen with conservative management.