bluuebunny/crossref_metadata_2025_split huggingface dataset:
AGRONEGÓCIO EM MOÇAMBIQUE: UMA BREVE ANÁLISE DA SITUAÇÃO DE ESTRANGEIRIZAÇÃO DO AGRONEGÓCIO
Authors: Rosário Nelson Maria 
Published: September 2019

Moçambique possui um elevado potencial agrícola, as condições agro-climáticas são ideais,com 36 milhões de ha de terra arável, clima tropical e subtropical com solos férteis e precipitação abundante e os principais rios oferecem enorme potencial de irrigação. O setor agrícola é ainda dominado pelo subsetor familiar que representa cerca de 90% da área cultivada. Este subsetor está fortemente dependente de técnicas rudimentares e culturas onde a irrigação depende exclusivamente da chuva, resultando deste modo em baixos rendimentos. Hoje, muitas explorações de grande dimensão têm sido revitalizadas através de investimentos estrangeiros e através de companhias de empresas em joint-venture e não só. E um dos grandes exemplos sobre o investimento estrangeiro no agronegócio moçambicano é a expansão do agronegócio Brasileiro para Moçambique, expansão essa feita através do programa Prosavana. O Prosavana é uma iniciativa tripartida entre os governos de Moçambique, Brasil e Japão, que tem como finalidade de desenvolver a agricultura ao longo do corredor de Nacala, abrangendo as províncias de Nampula, Niassa e Zambézia. Portanto, o presente estudo faz uma breve análise da estrangerização do agronegócios em Moçambique. Portanto, o estudo traz um tema da maior importância, qual seja, as limitações da modernização da agricultura de Moçambique e as contradições da influência brasileira sobre o projeto ProSavana.
Palavras Chaves: Moçambique, Agronegócios, estrangerização e Prosavana
Does the Vitamin D Deficiency Have Any Role in Severity or Prolongation of Seizure? A Pilot Study in Iran
Authors: Vafaee-Shahi Mohammad , Badv Reza S. , Kazemi Alinaghi , Noorbakhsh Samileh , Kamali Koorosh , Teimourtash Shahin , Tahernia Leila 
Published: September 2019

Background:
Based on previous studies, vitamin D deficiency could lead to nerve stimulation.
The purpose of the present study was to determine frequency and duration of seizures in children
with idiopathic epilepsy in two groups; normal level of vitamin D versus decreased level of
vitamin D.

Methods:
This pilot, comparative study was carried out in Zanjan University of Medical Sciences on
total 40 children aging between 2 to 12 years old (23 male and 17 female) with the diagnosis of idiopathic
epilepsy. All patients were receiving anti-epileptic drugs. The initial questionnaire was completed
by each parent. Total 40 epileptic cases were examined in close follow-ups every three
months, during total 9 months. Meanwhile, the frequency and duration of each seizure were recorded
in questionnaire at every three-month period. Vitamin D blood samples were analyzed at the beginning
of the study and after 9 months following the study. Serum levels of Vitamin D were analyzed
by ELISA method (Elecsys2010, RocheCo, Germany; STAR FAX; 2100), simultaneously, Vitamin D
level <30 ng/ml (nanogram per milliliter) was defined as Vitamin D deficiency. Cases were divided
into two groups based on Vitamin D level. The frequency and duration of convulsions were compared
in patients with normal level of vitamin D versus children with decreased level of vitamin D.
Data were analyzed by Chi-square and t-test methods.

Results:
In all 40 patients, vitamin D level less than 30 ng/ml was detected in 32% (13 patients) at
the beginning of study and 35% (14 patients) in 9 months later (13 patients were common between
the two groups). There was no significant relationship between the frequency of seizures, the duration
of seizures and vitamin D levels in patients. The relationship between positive family history of
epilepsy and the number of seizures was reported significant. The frequency of vitamin D deficiency
was higher in female cases in final evaluation.

Conclusion:
In the present study, a considerable correlation was detected between the frequency of
seizures and positive history of seizure in the family. The frequency of vitamin D deficiency was
higher in female cases in final analysis. No significant relationship was detected between the number
of seizures, the mean duration of seizures and serum level of Vitamin D in children who received anticonvulsant
drugs. However, vitamin D deficiency in patients was not overlooked in order to prevent
known complications. We recommend a randomized clinical trial in the future with an adequate sample
size. Moreover, a non-epileptic control group in study would be useful.
Adaptive Framework for Deep Learning Based Dynamic and Temporal Topic Modeling from Big Data
Authors: Pathak Ajeet R. , Pandey Manjusha , Rautaray Siddharth 
Published: September 2019

Background:
The large amount of data emanated from social media platforms need
scalable topic modeling in order to get current trends and themes of events discussed on such platforms.
Topic modeling play crucial role in many natural language processing applications like sentiment
analysis, recommendation systems, event tracking, summarization, etc.

Objective:
The aim of the proposed work is to adaptively extract the dynamically evolving topics
over streaming data, and infer the current trends and get the notion of trend of topics over time. Because
of various world level events, many uncorrelated streaming channels tend to start discussion
on similar topics. We aim to find the effect of uncorrelated streaming channels on topic modeling
when they tend to start discussion on similar topics.

Methods:
An adaptive framework for dynamic and temporal topic modeling using deep learning
has been put forth in this paper. The framework approximates online latent semantic indexing constrained
by regularization on streaming data using adaptive learning method. The framework is designed
using deep layers of feedforward neural network.

Results:
This framework supports dynamic and temporal topic modeling. The proposed approach
is scalable to large collection of data. We have performed exploratory data analysis and correspondence
analysis on real world Twitter dataset. Results state that our approach works well to extract
topic topics associated with a given hashtag. Given the query, the approach is able to extract
both implicit and explicit topics associated with the terms mentioned in the query.

Conclusion:
The proposed approach is a suitable solution for performing topic modeling over Big
Data. We are approximating the Latent Semantic Indexing model with regularization using deep
learning with differentiable ℓ1 regularization, which makes the model work on streaming data
adaptively at real-time. The model also supports the extraction of aspects from sentences based on
interrelation of topics and thus, supports aspect modeling in aspect-based sentiment analysis.
Compact Ultra-wide-band Bandpass Filter using Square Complimentary Split Ring Resonator
Authors: Singh Inder P. , Bhatt Praveen 
Published: September 2019

Background:
In this paper, an ultra-wide-band bandpass filter with large stopband using
interdigital coupled lines and pair of Square Complimentary Split Ring Resonator (SCSRR) is proposed.

Methods:
Interdigital coupled lines give bandpass characteristics and pair of SCSRR provides tuning
of cut off frequencies and transmission zeroes on both side of the passband. In the passband, two
transmission poles are achieved. The tightly coupled structure provides a wide stopband and sharp
skirt response.

Results:
Dielectric constant 2.6 and its thickness of 0.787 mm is used to implement the design. Centre
frequency of the proposed design is 5.1 GHz. Bandwidth at -3 dB is 3.5 GHz to 6.5 GHz.

Conclusion:
The proposed structure is simulated in Ansoft HFSS.
Association Splitting for Obsessive-Compulsive Disorder: A Systematic Review
Authors: Ching Terence H.W. , Jelinek Lena , Hauschildt Marit , Williams Monnica T. 
Published: September 2019

Background:
Association splitting is a cognitive technique that targets obsessions in
obsessive-compulsive disorder (OCD) by weakening biased semantic associations among OCDrelevant
concepts.

Objective:
In this systematic review, we examine studies on the efficacy of association splitting for
reducing OCD symptoms.

Methods:
Following PRISMA guidelines, six studies were included, with diversity in sample characteristics,
mode of administration (i.e., self-help vs therapist-assisted), language of administration,
comparator groups, etc.

Results:
Results indicated that association splitting, as a self-help intervention, was efficacious in
reducing overall OCD symptom severity, specific OCD symptoms (i.e., sexual obsessions), subclinical
unwanted intrusions, and thought suppression, with small-to-large effect sizes (e.g., across
relevant studies, ds = .28-1.07). Findings were less clear when association splitting was administered
on a therapist-assisted basis as an add-on to standard cognitive-behavior therapy (CBT). Nonetheless,
across studies, the majority of participants reported high acceptability, ease of comprehension,
and adherence to daily association splitting practice.

Conclusion:
Although association splitting is an efficacious and acceptable self-help intervention
for OCD symptoms, future studies should include appropriate comparison groups, conduct longitudinal
assessments, examine efficacy for different symptom dimensions, and assess changes in semantic
networks as proof of mechanistic change. There should also be greater representation of
marginalized groups in future studies to assess association splitting’s utility in circumventing barriers
to face-to-face CBT. Ethical considerations are also discussed.
Experimental Analysis of Performance and Thermal Capability of Three Phase Squirrel Cage Induction Motor Using Plastered Composite Conductors
Authors: Balamurugan N. , Selvaperumal S. 
Published: September 2019

Background:
This article deals with the analysis on improved performance and efficiency
of induction motor by using nano composites for stator winding.

Methods:
The nanocomposites are added with different enamel. Enamel is mostly preferred for induction
motors’ winding, due to three main reasons: adhesion, infusion and plaster. To predetermine the
plaster and nanocomposite conductor’s behavior when they are used for transmitting AC currents and
developing AC magnetic field, a numerical analysis is performed. The total heat losses are determined
by the heat run test. Open circuit and short circuit tests are used to analyze the performance and efficiency
of the proposed induction motor.

Results:
The AC losses of composite and plaster conductors having good accord are compared with
previous solid and hollow conductors. Analysis of the coil by a composite and plaster conductor
shows that the AC losses in low current are lower than the coil, which is wrapped by a solid, and hallow
conductors. Due to this reason, composite and plaster conductors are considered advantageous for
low and medium power motors.

Conclusion:
Adding nano composites with the plaster material will help to improve electrical, thermal
and mechanical characteristics. The property of enamel can change the lifetime of induction motor.
The induction motor winding makes use of nano composites SiO2 and TiO2 with enamel coated.
Performance Evaluation of Neural Network for Human Classification Using Blob Dataset
Authors: Mehta Monika , Bhadauria Madhulika 
Published: September 2019

Background:
Human Classification in public places is an emerging area in the applications
of Computational Intelligence. Therefore, modeling of an optimal architecture of the neural
network is required to classify them.

Methods:
In this work for this purpose, blob dataset has been used to train the neural network. This
dataset consists of 2408 features of a human blob.

Results:
Further, analysis of this blob dataset has been done on the basis of various characteristic parameters
for affirmation of actual training. During training and testing of this dataset, it has been observed
that when nodes at hidden layer are below and above 10 then training of neural network is
under fitted and overfitted respectively and works effectively when the nodes are 10 at the hidden
layer.

Conclusion:
From the experimental work performed in this study, an optimal neural network has
been obtained to classify human using blob dataset.
A Smartphone App to Improve Medication Adherence in Patients With Type 2 Diabetes in Asia: Feasibility Randomized Controlled Trial
Authors: Huang Zhilian , Tan Eberta , Lum Elaine , Sloot Peter , Boehm Bernhard Otto , Car Josip 
Published: September 2019

BackgroundThe efficacy of smartphone apps for improving medication adherence in type 2 diabetes is not well studied in Asian populations.ObjectiveThis study aimed to determine the feasibility, acceptability, and clinical outcomes of using a smartphone app to improve medication adherence in a multiethnic Asian population with type 2 diabetes.MethodsWe block randomized 51 nonadherent and digitally literate patients with type 2 diabetes between the ages of 21 and 75 years into two treatment arms (control: usual care; intervention: usual care+Medisafe app) and followed them up for 12 weeks. Recruitment occurred at a public tertiary diabetes specialist outpatient center in Singapore. The intervention group received email reminders to complete online surveys monthly, while the control group only received an email reminder(s) at the end of the study. Barriers to medication adherence and self-appraisal of diabetes were assessed using the Adherence Starts with Knowledge-12 (ASK-12) and Appraisal of Diabetes Scale (ADS) questionnaires at baseline and poststudy in both groups. Perception toward medication adherence and app usage, attitude, and satisfaction were assessed in the intervention group during and after the follow-up period. Sociodemographic data were collected at baseline. Clinical data (ie, hemoglobin A1c, body mass index, low-density lipoprotein, high-density lipoprotein, and total cholesterol levels) were extracted from patients’ electronic medical records.ResultsA total of 51 (intervention group: 25 [49%]; control group: 26 [51%]) participants were randomized, of which 41 (intervention group: 22 [88.0%]; control group: 19 [73.1%]) completed the poststudy survey. The baseline-adjusted poststudy ASK-12 score was significantly lower in the intervention group than in the control group (mean difference: 4.7, P=.01). No changes were observed in the clinical outcomes. The average 12-week medication adherence rate of participants tracked by the app was between 38.3% and 100% in the intervention group. The majority (>80%) of the participants agreed that the app was easy to use and made them more adherent to their medication.ConclusionsOur feasibility study showed that among medication-nonadherent patients with type 2 diabetes, a smartphone app intervention was acceptable, improved awareness of medication adherence, and reduced self-reported barriers to medication adherence, but did not improve clinical outcomes in a developed Asian setting.
ANALYSIS OF FERULIC ACID IN ARABICA COFFEE BEAN (COFFEA ARABICA L.) USING SOLID PHASE EXTRACTION–HIGH PERFORMANCE LIQUID CHROMATOGRAPHY
Authors: MUSFIROH IDA , INDRIYATI WIWIEK , NUR ABADI MIRA LAILA , MUCHTARIDI MUCHTARIDI 
Published: September 2019

Objective: The purpose of this research is quantitatively analyzing of ferulic acid in the Arabica coffee bean extract from three samples with different regions (Garut, Pangalengan, Tasikmalaya, West Java Indonesia) using Solid Phase Extraction-High Performance Liquid Chromatography (SPE-HPLC) method which is validated.
Methods: The analysis method used reversed phase HPLC with an Enduro C 18 G (250 mm × 4.6 mm) column and detector UV 312 nm, with a mobile phase of methanol and water containing 1% (v/v) of acetic acid (42:58) at a flow rate of 1.0 ml/min and validation method was examined in linearity, Limit of Detection (LOD), Limit of Quantification (LOQ), precision, and accuracy.
Results: The results showed that the precision of retention was 8.853 min, correlation coefficient (R) was 0.9996, and the recovery was 96.909%. The quantitative analysis of ferulic acid content in the extract of coffee from thus samples of three different regions were 0.0385%, 0.0169% and 0.0076%, respectively.
Conclusion: The analytical method was meet the validation criteria. Ferulic acid levels results from the extraction of the digestion process and pretreatment methods of Solid Phase Extraction (SPE) is 0.0385% from Garut area, 0.0169% from Pangalengan area and 0.0076% from Tasikmalaya area.
FORMULATION AND EVALUATION OF AMOXICILLIN-TRIHYDRATE, METRONIDAZOLE AND FAMOTIDINE LOADED-MUCOADHESIVE GASTRO-RETENTIVE FILMS
Authors: NIDHI JAIN SINGHAI  , MAURYA RAHUL , RAMTEKE SUMAN , JAIN SANJAY K. 
Published: September 2019

Objective: To developed mucoadhesive gastro-retentive films of amoxicillin trihydrate, metronidazole and famotidine by using polymers and plasticizer for eradication of H. pylori infection.
Methods: The mucoadhesive gastro-retentive films of amoxicillin trihydrate, metronidazole and famotidine were prepared using solvent casting method. The optimized gastro-retentive films were characterized by using various parameters such as DSC, drug content uniformity, in vitro drug release, FTIR spectroscopy, SEM and ex-vivo drug permeation studies across the mucous membrane. The prepared mucoadhesive gastro-retentive films were evaluated with in vitro growth inhibition study and in vivo bacterial clearance study.
Results: The FTIR spectra indicated that there was no any interaction between the drugs and polymer. Drugs content was found to be in the range and there was no significant change in the surface morphology of the films after under storage. The bioadhesive property of prepared films exhibited highly bioadhesive property when increased the amount of chitosan and PAA (Polyacrylic Acid) used. We found that CH-PAA IPC (Chitosan-Polyacrylic Acid Inter-polymer Complex) films exhibited greater bioadhesion. The percent of growth inhibition by using each drug such as amoxicillin, metronidazole and famotidine was found to be 51.61%, 46.59% and 34.76%, respectively whereas the combination of drugs were exhibited highest % growth inhibition. The % inhibition was found to be 81.00%. The optimized formulation CH-PAA IPC (C1P2G2) and CH film (C1G2) showed highest growth inhibition of H. pylori bacteria. The growth inhibition was found to be 96.77% and 92.26%, respectively. In vivo Bacterial Clearance Studies showed that the drugs loaded CH-PAA IPC film (C1P2G2) formulation exhibited better clearance from infection than CH film (C1G2) formulation and plain drugs solution at same doses. Drugs loaded CH-PAA IPC film formulation was found to be effective in the treatment of H. pylori infections effectively.
Conclusion: The developed gastro-retentive films of amoxicillin trihydrate, metronidazole and famotidine combination could be used for batter management of mucosal ulcer disease and eradication of H. pylori bacteria.
DEVELOPMENT OF TAMOXIFEN CITRATE PELLETS BY HOT-MELT EXTRUSION FOR IMMEDIATE RELEASE: STUDY OF EFFECT OF VARIABLES
Authors: YADAV VISHAL , KUMAR S. SATHESH 
Published: September 2019

Objective: Objective of the study was to develop tamoxifen citrate immediate release pellets by hot-melt extrusion (HME) and to study the effect of various formulation and process variables.
Methods: Pellets were prepared by HME technique. Effect of various parameters such as the concentration of ethylcellulose, PEG 6000, croscarmellose sodium, and spheronization speed were studied by using Central Composite Design. Pellets were evaluated for theoretical yield (%), mean pellet size (mm), sphericity (pellips), friability (%), porosity (%), mechanical crushing force (n), and dissolution efficiency. Optimized formulation was studied for compatibility study using IR, DSC, and XRD, SEM, In vitro drug release. In vitro Cell Cytotoxicity and Viability Assay were carried out using MCF-7 (human breast cancer cells) by MTT assay.
Results: Results showed that a variable such as the amount of Methyl Cellulose, PEG 6000 and Spheronization speed showed positive correlation and amount of Croscarmellose sodium showed a negative correlation with dependent variables. Optimized formulation showed Korsmeyer Peppas model as a mechanism of drug release. Value of n was found to be in between 0.77+0.04, which reveals that, release mechanism of the drug as non-Fickian transport (0.45<n<0.89). MTT results of MCF-7 cells showed that optimized immediate release pellets have maximum cytotoxicity at 80 µg/ml.
Conclusion: Study concluded that HME method and materials i.e. PEG 6000 and methylcellulose can effectively use to get immediate release of tamoxifen citrate so as to increase dissolution rate and cytotoxic effect.
FORMULATION AND IN VITRO CHARACTERISATION OF SOYBEAN OIL-HPMCK4M BASED BIGEL MATRIX FOR TOPICAL DRUG DELIVERY
Authors: MUKHERJEE SHUBHAM , MAJEE SUTAPA BISWAS , BISWAS GOPA ROY 
Published: September 2019

Objective: Hydrogels with scope for utilization in numerous fields possess limited applications due to problems in incorporating wide range of drugs and crossing the lipophilic barrier of the skin. Attempts to overcome these problems by developing organogel hold drawbacks. Challenges posed by drug lipophilicity or skin permeation can be solved by developing bigel formed via combination of lipophilic and hydrophilic gel phases in a definite proportion. The objective of the present study is to formulate and characterize matrix type bigel of soybean oil and HPMCK4M for topical drug delivery.
Methods: Four batches of bigels were developed with two organogel formulations of soybean oil containing 20 and 22% w/v Span 60. Both organogels and bigels were examined for compatibility by FTIR spectroscopy, hemocompatibility and characterized for physical appearance, pH, rheological behavior and in vitro drug release pattern.
Results: FTIR study confirmed compatibility between paracetamol and components of organogel or bigel. The oily feel of organogels disappeared with bigels which possessed a creamy and smooth texture. Pseudoplastic behaviour was confirmed by Ostwald-de wale power-law model in both organogels and bigels. Improved drug release was observed in bigel (BG1) formulation containing 3%w/v HPMCK4M and soybean oil based organogel with 20% w/v Span 60 as compared to the corresponding organogel (OG1). Organogels were foundto follow either zero-order kinetics (OG1) or Korsmeyer-Peppasmodel (OG2) while the formation of matrix was exhibited in bigels with drug diffusion predominantly of non-Fickian type.
Conclusion: Therefore, bigels of soybean oil based organogel with HPMCK4M hydrogel formed gel matrix demonstrating improved drug release for topical application compared to organogel.