bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incidence of Smartphone in the development of brain plasticity in children from 0 to 6 years old, in a context of high vulnerability
Authors: Tomé José Manuel Salum 
Published: August 2020

The research project that presents a complete update for a systematic review regarding the use of smartphones. The development of cerebral plasticity in children aged between 0 and 6 years.
This review is composed of three complete categories of content: Intellectual, attitudinal and behavioral, all definitions are made up of a certain number of Skills, which are expressed in the various systematic versions, including gray literature, which will provide the basis and theoretical foundations and practical ones that allow the deduction of new investigations
The Relationship Between Trust and Truth and Reconciliation Commissions in Post-Conflict Sub-Saharan Countries
Authors: Keil Julie , Stegbauer Alexander 
Published: August 2020

Sub-Saharan African countries have conducted Truth and Reconciliation Commissions (TRC) from the early 1970’s to 2020 in twenty-one different countries. TRCs have been chosen by states after armed conflicts, attempted or completed coups or in several cases after contested elections and election violence, in attempt to agree at a common “truth” to the events and to bring reconciliation to individual victims and polarized groups within the state. Most TRCs have claimed the need to build trust in institutions, government and communities as one of the reasons for the conduct of a TRC. However, despite extensive scholarly study of TRCs in general, and some study of sub-Saharan African TRCs (particularly the South African TRC) there is a lack of study of the relationship between TRCs and the development of trust. This study utilizes Afrobarometer data regarding trust in various governmental and quasi-governmental entities in ten Sub-Saharan African states that conducted a TRC. This study concludes that the processes in strong TRCs are related to the improvement in trust in some of the entities, but others are unaffected or show decreases in trust because the processes generally used in the TRC were not effective in creating trust.
Pengolahan Citra Digital Untuk Menghitung Ekstrasi Ciri Greenbean Kopi Robusta Dan Arabika (Studi Kasus: Kopi Temanggung)
Authors: Fadjeri Akhmad 
Published: August 2020

Penelitian ini bertujuan untuk menentukan ekstrasi ciri yang terdapat dalam greenbean kopi robusta dan arabika untuk membuat objek terdeteksi dan dapat di gambarkan kedalam angka matematis. Metode yang digunakan adalah citra asli yang di ubah menjadi RGB kemudian dilakukan grayscaling yang dilanjutkan dengan proses biner yang bertujuan untuk mengubah gambar menjadi bentuk biner (0 dan 1) setelah pengolahan citra digital selesai dilakukan dilakukan proses ekstrasi ciri foto greenbean kopi berdasarkan lebar, tinggi, keliling, luas permukaan, prosentae kebulatan, dan perimeter dari setiap greenbean kopi sehingga dapat dipahami secara matematis.
Hasil dari proses citra biner dilakukan operasi morfologi, pada proses morfologi terdapat proses erosi dan dilasi. Hasil dari proses erosi dan dilasi dilakuan ekstrasi ciri untuk mendapatkan panjang, tinggi luas, keliling, rasio kebulatan dan perimeter dari sebuah gambar citra. Kemudian nilai disimpan ke dalam database sebagai ekstrasi ciri dari setiap greenbean kopi.
Hasil ekstrasi ciri yang diperoleh dari sampel greenbean kopi dengan rerata didapat lebar 7.7 pixel, tinggi 11, keliling 31.3, luas permukaan 69.5 , prosentase kebulatan 89.559, dan perimeter 1.674 dari greenbean kopi robusta sedangkan untuk greenbean arabika di dapat lebar 13.2 pixel, tinggi 18.8, keliling 51.2, luas permukaan 199.9 , prosentase kebulatan 94.548, dan perimeter 1.60038 dengan kesuluruhan data gambar yang diambil adalah 20 greenbean kopi.
Sistem Deteksi Dini Bencana Banjir Menggunakan Modul 433MHz Berbasis Arduino
Authors: Arifin M. Zainal 
Published: August 2020

<p>Banjir adalah bencanan alam yang sulit di deteksi kapan akan datang terutama di musim hujan. Akibatnya banyak masyarakat yang kehilangan harta benda bahkan terkadang sampai menimbulkan korban jiwa akibat bencana banjir. Untuk itu, estimasi level ketinggian air penting untuk menentukan bahaya mendasar dalam resiko datangnya banjir. Objek pengukuran yang digunakan dalam penelitian ini yaitu Tinggi Muka Air (TMA) dengan menggunakan teknik pesan singkat yang bisa dikirim melalui gelombang radio dan sensor ketinggian air sungai sebagai sensor yang mengambil nilai ketinggian air sungai itu sendiri, sehingga tidak membutuhkan sinyal dan jaringan internet serta tidak membutuhkan pulsa untuk penggunaannya. hasil akhir dari penelitian ini adalah informasi ketinggian air yaitu status normal, siaga I, siaga II, siaga III atau siaga IV.</p>
Komparasi Algoritma Machine Learning dan Deep Learning untuk Named Entity Recognition : Studi Kasus Data Kebencanaan
Authors: Giarsyani Nuli 
Published: August 2020

<p>Indonesia merupakan negara yang rawan akan bencana. Beberapa bencana alam yang sering tercatat sering terjadi di Indonesia adalah mulai dari gempa, tsunami, banjir, tanah longsor, gunung meletus dan masih banyak lagi yang lainnya. Adanya kejadian ini mendorong pengguna Twitter atau lembaga penanggulangan kebencanaan untuk mengunggah informasi tentang kondisi bencana dari tempat terjadinya bencana. Namun tidak semua tweet yang diunggah tersebut memuat informasi tentang bencana. Untuk dapat memanfaatkan informasi spesifik berkaitan dengan jenis jenis bencana, lokasi bencana, dan waktu kejadian, maka seseorang harus membaca secara keseluruhan isi tweet tersebut. Apabila jumlahnya banyak, maka membutuhkan waktu yang cukup lama untuk<br />mendapatkan informasi bencana pada tweet tersebut. Oleh sebab itu, dibutuhkan Named Entity Recognition (NER) yang dapat digunakan untuk mendapatkan informasi penting secara otomatis dalam waktu yang singkat. Penelitian ini bertujuan untuk melakukan NER pada data tweet dan melakukan analisa terdahap hasil dari dua pendekatan yaitu Machine Learning dan Deep Learning. Secara spesifik, kami membandingkan akurasi beberapa metode dari Machine Learning dan Deep Learning dan melakukan klasifikasi, dan menemukan bahwa pendekatan Deep Learning lebih unggul daripada pendekatan Machine Learning.</p>
Optimasi Asupan GGL Ideal Pada Usia Produktif Dengan Algoritma Genetika
Authors: Sinaga Anita Sindar RM 
Published: August 2020

<table border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="387"><p><em>Financial security</em><em> </em><em>encourages fast food eating habits, the characteristics of problems that require solving genetic algorithms that have multi-objective and multi-criteria. Based on the mathematical model built, an analysis is performed to find the best (optimal) solution. Optimization is an effort or activity to get the best results with the requirements given. Genetic Algorithm as a branch of Evolution Algorithm is an adaptive method commonly used to solve a value search in an optimization problem. To check the results of the optimization we need a fitness function, which signifies a coded description of the solution. During the process, the parent must be used for reproduction, crossing and mutation to obtain new offspring. Determination of the composition of the ideal GGL for productive age must meet the minimum limits for each component of nutrition. The higher the Fitness value the better the chromosomes become a candidate solution. Offspring results generated from the results of the reproduction process are crossever and mutation. The selection process is carried out to obtain the best chromosomes that will be made into the next generation's population.</em><em> </em><em>The best chromosomes offSpring 10 Fitness 12737.34.</em></p></td></tr></tbody></table>
Pengenalan Batik Indonesia Menggunakan Ciri Warna dan Tekstur
Authors: Rachmawati Ema , Anjani Maula Ilma Ahgnia Dwi , Sthevanie Febryanti 
Published: August 2020

<p>Upaya pelestarian budaya bangsa melalui pengenalan batik merupakan hal yang harus selalu ditingkatkan. Terlebih dengan diakuinya budaya batik Indonesia oleh UNESCO sebagai bagian dari warisan budaya tak berwujud (<em>intangible)</em>. Hal inilah yang mendasari dilakukannya sejumlah penelitian terkait pengenalan batik. Hasil kinerja yang sangat baik telah dicapai oleh berbagai sistem pengenalan batik. Namun, berbagai penelitian yang dilakukan tersebut masih terbatas pada jumlah motif batik yang sedikit. Oleh karena itu, pada penelitian ini dibangun sistem pengenalan batik dengan menggunakan 114 motif batik dari 14 daerah di propinsi Jawa Barat. Ciri gabungan dibangun dengan mengkombinasikan ciri tekstur dan warna. Ciri tekstur didapatkan dari <em>Gray Level Co-occurrence Matrix</em> (GLCM) sedangkan ciri warna didapatkan dari <em>Color Difference Histogram</em> (CDH). Penulis juga menambahkan variasi dalam dataset yang berupa <em>rotate</em> dan <em>f</em><em>lip</em> untuk memperbesar variasi <em>intra-class</em>. Hasil utama dari kinerja sistem yang dibuat adalah akurasi sebesar 99,128 % dan <em>F1-Score</em> sebesar 98,9999% pada pengenalan batik berdasarkan daerah, sedangkan pada pengenalan batik berdasarkan motif didapatkan akurasi sebesar 98,2456% dan <em>F1-Score</em> sebesar 98,3208%. </p>
О логиках эмпирических модальностей
Authors: Финн Виктор Константинович 
Published: August 2020

В статье рассматривается класс ERA-логик с эмпирическими модальностями $\square$ (необходимость) и $\lozenge$ (возможность), которые характеризуют, соответственно, высказывания, представляющие эмпирические законы и эмпирические тенденции, т.е. эмпирические закономерности. Эмпирические закономерности являются результатом ДСМ-рассуждений, которые образованы взаимодействием правил индуктивного вывода и правил вывода по аналогии, а также процедурами абдуктивного принятия гипотез.
Рассматриваемые ERA-логики являются пропозициональной имитацией ДСМ-рассуждений, применимых к последовательностям расширяемых баз фактов интеллектуальных систем. Характерной особенностью ERA-логик является применение двух концепций истины – когерентной и корреспондентной. Применение когерентной концепции истины обусловлено порождением гипотез посредством правил индуктивного вывода и вывода по аналогии. Применение же корреспондентной концепции истины обусловлено применением абдуктивного вывода, принятие результатов которого использует верификацию гипотез о предсказаниях. С этой целью ERA-логики применяют оператор Т: «истинно, что…». В заключении статьи обсуждаются нефинитные расширения ERA-логик, а также их отличия как логик эмпирических модальностей от логики М логических модальностей Г.Х. фон Вригта.
Antioxidant and anti-diabetic activity of pomegranate (Punica granatum L.) leaves extracts
Authors: Cheurfa Mohammed , Achouche Mohamed , Azouzi Ahmed , Abdalbasit Mariod A. 
Published: August 2020

Introduction. This study aimed to evaluate the antioxidant and anti-diabetic activity of aqueous and hydroalcoholic extracts of pomegranate (Punica granatum L.) leaves in vitro, as well as to determine the content of polyphenols, flavonoids, and flavonols.
Study objects and methods. The antioxidant activity was determined by the DPPH test using the free radical 1,1-diphenyl-2-picrylhydrazyle and the FRAP method, as well as by measuring total antioxidant capacity and the hydrogen peroxide scavenging activity.
Results and discussion. The content of total polyphenols varied between 4.43 ± 0.3 and 12.66 ± 1.6 mg EAG/g. The highest content of flavonoids was observed in the hydroalcoholic extract of P. granatum leaves (P < 0.05). The flavonol contents in the hydroalcoholic and aqueous extracts were 7.68 ± 0.6 and 9.20 ± 2.8 mg EQ/g, respectively. The IC50 of the antioxidant potential of the hydroalcoholic and aqueous extracts was 32.4 ± 1.109 and 35.12 ± 4.107 mg/mL, respectively. According to the DPPH test, the aqueous extract was the least active (IC50 = 14.15 ± 1.513 mg/mL). The highest percentage of hydrogen peroxide trapping was found in the aqueous extract
(45.97 ± 6.608 %). The inhibition of α-amylase showed an IC50 of between 9.804 ± 0.67 and 19.011 ± 9.82 mg/mL in the aqueous and hydroalcoholic extracts, respectively. The inhibition of glucose uptake by yeast recorded a high inhibitory capacity at 50 mg/mL of glucose.
Conclusion. We found that the antioxidant and anti-diabetic activity of P. granatum leaves extracts was due to the presence of bioactive compounds such as flavonoids, which is why they are effective in preventing diabetes and its complications.
Yeast-rich mannan fractions in duck cultivation: prospects of using
Authors: Kasjanenko Sergij , Kasjanenko Oksana , Nagornaya Liudmyla , Yevstafieva Valentyna , Melnychuk Vitaliy , Lukyanova Galina , Gurenko Irina 
Published: August 2020

Introduction. Due to the trend of avoiding antibiotics and acquiring eco-friendly products, the use of environmentally safe preparations is becoming increasingly relevant in poultry farming.
Study objects and methods. We used Salmonella enteritidis and Campylobacter jejuni isolated from poultry carcasses. At the first in vitro stage, we studied the ability of mannan oligosaccharides, isolated from the cell walls of Saccharomyces cerevisiae yeast, to adsorb bacterial pathogens. At the second stage, we studied the influence of fraction on the activity, colonization and microflora composition of ducklings’ intestines. At the third stage, we determined the antagonistic activity of Bifidobacterium spp. (Bifidobacterium lactis, Bifidobacterium longum, Bifidobacterium bifidum) and Lactobacillus spp. (Lactobacillus fermentun, Lactobacillus salivarius, Lactobacillus acidophilus) against Salmonella enteritidis and Campylobacter jejuni isolates. The experiment was conducted on the ducklings of Star 53 H.Y. cross. Their diet was supplemented with probiotics, prebiotics, and their combination.
Results and discussion. In vitro studies showed the ability of mannan oligosaccharides isolated from the cell walls of Saccharomyces cerevisiae yeast to adsorb Salmonella enteritidis and Campylobacter jejun. In vivo experiment showed the ability of mannan oligosaccharides to prevent colonization of poultry intestines by bacterial pathogens with type I fimbriae.
Conclusion. The reisolation rate of ducks infected with Salmonella enteritidis was 53.6% lower, and those infected with Campylobacter jejuni, 66.2% lower than the control. Mannan oligosaccharides added to the diet did not affect the concentration of lactobacilli, enterococci, and anaerobic bacteria in the ducks’ intestines. A combined use of Bifidobacterium spp. and mannan oligosaccharides improved the preservation of poultry stock by 8.7%, which made it an effective way to prevent poultry salmonellosis.
Pharmacological Strategy for Congenital Myasthenic Syndrome with CHRNE Mutations: A Meta-Analysis of Case Reports
Authors: Huang Kun , Luo Yue-Bei , Bi Fang-Fang , Yang Huan 
Published: August 2020

Background:
Congenital myasthenic syndromes (CMSs) are a heterogeneous group of
neuromuscular disorders. Mutations of the nicotinic acetylcholine receptor epsilon subunit gene
(CHRNE) are the most common causes of these disorders. CMSs are gaining increasing recognition
by clinicians. However, pharmacological treatment of CMS with CHRNE mutations has only
been discussed in a small number of case reports.

Objective:
This study aims to determine how to choose an appropriate pharmacological strategy for
CMS with CHRNE mutations.

Methods:
A meta-analysis was performed. PubMed, MEDLINE, Web of Science, and Cochrane Library
databases were searched for studies published in English prior to June 1, 2020. The extracted
data included clinical information, gene mutations, pharmacological treatment, and treatment effects.

Results:
A total of 48 studies and 208 CMS patients with CHRNE mutations were included in our
meta-analysis. Ten different pharmacological strategies were used in these patients. Our research
found that β2-adrenergic receptor agonists had the best treatment effect for CMS patients with
CHRNE mutations, especially in patients with primary AChR deficiency. In addition, our analysis
found no evidence that age at disease onset influences the treatment results.

Conclusions:
This meta-analysis provides evidence that (1) β2-adrenergic receptor agonist therapy
could be the first choice of pharmacological strategy for treating CMS with CHRNE mutations; (2)
a single-drug-regime, rather than a combination therapy, should be the first choice of treatment;
and (3) it is never too late to initiate pharmacological treatment.
What is the Impact of Cinnamon Supplementation on Blood Pressure? A Systematic Review and Meta-Analysis
Authors: Ghavami Abed , Haghighian Hossein K. , Roshanravan Neda , Ziaei Rahele , Ghaedi Ehsan , Moravejolahkami Amir R. , Askari Gholamreza 
Published: August 2020

Background and Aims:
This study was designed to make a systematic review and meta-analysis on randomized
controlled trials (RCTs) assessing the effect of cinnamon on blood pressure (BP).

Methods:
A systematic computerized literature search of PubMed, Scopus, Web of Science, Cochrane Library and Google
Scholar databases were conducted up to August 2019. All RCTs using cinnamon supplements in adults were included in this
systematic review and meta-analysis.

Results:
Out of 927 records, 8 trials that enrolled 582 participants were included. The pooled effect
size showed that SBP did not change following cinnamon supplementation. (WMD: -0.61mmHg; 95%
CI: -1.36, 0.14, P= 0.111). Also cinnamon supplementation in long-duration (≥ 8weeks) had a significant
effect on SBP (WMD: -1.25 mmHg; 95% CI: -2.22, -0.28, P= 0.012). Pooled analysis showed that
cinnamon had a significant effect on DBP (WMD: -0.93mmHg, 95% CI: -1.55 to -0.32, P= 0.003). In
addition, results from both duration subsets and high dose (>1500 mg/day) of cinnamon supplementation
were significant.

Conclusion:
Our findings revealed that cinnamon supplementation has favorable effects on DBP although results about SBP
were not the same. Nonetheless, further studies are required.
Anti-Neuroinflammatory Properties of n-3 Fatty Acids and Nano- Curcumin on Migraine Patients from Cellular to Clinical Insight: A Randomized, Double-Blind and Placebo-Controlled Trial
Authors: Honarvar Niyaz M. , Soveid Neda , Abdolahi Mina , Djalali Mahmoud , Hatami Mahsa , Karzar Nazanin H. 
Published: August 2020

Background and Objectives:
Migraine is an exhausting neuro-inflammatory disorder recognized
as recurrent headache attacks. Evidence has shown that Interleukin (IL)-1β plays a substantial
role in the neuro-immunity pathogenicity of migraine. n-3 fatty acids and curcumin revealed neuromodulatory
and anti-inflammatory effects through several pathways, of which the suppression of IL-1β
gene expression is an important inflammatory pathway. The aim of this study was the investigation of
synergistic relation of n -3 fatty acids and nano-curcumin on IL-1β gene expression and serum levels in
migraine patients.

Methods:
This study was performed as a randomized, double-blind, placebo-controlled trial in a period
of two months. A total of 80 episodic migraines were assigned into 4 groups of 1) n-3 fatty acids and
curcumin combination; 2) n -3 fatty acids; 3) nano-curcumin; and 4) n-3 fatty acids and curcumin placebo.
The gene expression and serum level of IL-1β were measured by real-time PCR and ELISA
methods respectively, at the beginning and the end of the interventions.

Results:
Results showed the n-3 fatty acids and nano-curcumin combination significantly reduced the
attack frequency in a synergistic status (P <0.001). A significantly greater reduction in the serum level
of IL-1β was observed in the combination group, and the differences in the other groups were not statistically
significant. The IL-1β gene expression in the combination group showed a significant reduction
for other treatment groups (P < 0.05), but these significant differences were absent after multiple
testing Bonferroni corrections.

Conclusion:
Present findings revealed that n -3 fatty acids and curcumin co-supplementation can be
suggested as a promising new approach in migraine headache management, but further studies are
needed to confirm these findings.
Comparison of 24-Hour Electrocardiogram Parameters in Patients with Graves’ Disease Before and After Anti-Thyroid Therapy
Authors: Akkuş Gamze , Sökmen Yeliz , Yılmaz Mehmet , Bekler Özkan , Akkuş Oğuz 
Published: August 2020

Background:
We aimed prospectively to investigate the laboratory and electrocardiographic
parameters (heart rate, QRS, QT, QTc, Tpe, Tpe/QTc, and arrhythmia prevalence) in patients with
Graves’ disease before and after antithyroid therapy.

Methods:
Seventy-one patients (48 female, and 23 male), of age between 18-50 years (mean±SD:
36.48±12.20) with GD were included in the study. Patients were treated with antithyroid therapy
(thioamides and/or surgical therapy) to maintain euthyroid status. Patients were examined in terms of
electrocardiographic parameters before and after the treatment.

Results:
ean TSH, free thyroxin (fT4), and tri-iodothyrionine (fT3) levels of all patients were
0.005±0.21, 3.27± 1.81, 11.42±7.44, respectively. While 9 patients (group 2) underwent surgical therapy,
had suspicious malignant nodule or large goiter, and unresponsiveness to medical treatment; the
other patients (n=62, group 1) were treated with medical therapy. Patients with surgical therapy had
more increased serum fT4 (p=0.045), anti-thyroglobulin value (p=0.018) and more severe graves orbitopathy
(n=0.051) before treatment when compared to a medical therapy group. Baseline Tpe duration
and baseline Tpe/QTc ratio and frequency of supraventricular ectopic beats were found to be significantly
higher in group 2 when compared to group 1 (p=0.00, p=0.005). Otherwise, the baseline mean
heart rate, QRS duration, QTc values of both groups were similar. Although the patients came at their
euthyroid status, group 2 patients still suffered from more sustained supraventricular ectopics beats
than group 1.

Conclusion:
Distinct from the medical treatment group, surgical treatment group with euthyroidism for
at least 3 months still suffered from an arrhythmia (Tpe, Tpe/QTc, supraventricular and ventricular
ectopic beats).