bluuebunny/crossref_metadata_2025 huggingface dataset:
Use of Item Response Theory to Validate Cyberbullying Sensibility Scale for University Students
Authors: ARICAK Osman Tolga , AVCU Akif , TOPÇU Feyza , TUTLU Merve Gülçin
Published: February 2020

A
thirteen-item cyberbullying sensibility scale (CSS), developed by Tanrıkulu,
Kınay, and Arıcak (2013) and extensively used by researchers, was used to
measure the cyberbullying sensibility levels of high school students. Unlike
other similar concepts, such as cyberbullying and cyber victimization, there
are no scales developed to measure the cyberbullying sensibility among
university students. In this study, the data obtained from 727 university
students were analyzed based on item response theory (IRT) techniques, and
psychometric evidences were obtained to evaluate whether it is appropriate to use
the scale on the university students. Accordingly, a parameterization of CSS
items was performed by using the graded response model. Using the
discrimination parameters and item fit statistics, some items were removed from
the original scale and a seven-item CSS version was developed since preliminary
exploratory and confirmatory factor analyses provide inadequate evidence for
the validity of a one-dimensional structure of cyberbullying sensibility.
However, an IRT-based item removal process yielded an acceptable improvement.
In this way, despite the six items being removed from the original CSS form,
the scale retained 64% of the information it provided. The reliability values
computed based on the classical approach and IRT were above .8 after the item elimination
process with only a minor drop. With the validation process, the CSS will be a
valuable measurement tool to determine the level of cyberbullying sensibility
among university students and allow academicians to conduct research with this
population.
Evaluation of time-dependent correlators after a local quench in iPEPS: hole motion in the t-J model
Authors: Hubig Claudius , Bohrdt Annabelle , Knap Michael , Grusdt Fabian , Cirac Ignacio
Published: February 2020

Infinite projected entangled pair states (iPEPS) provide a convenient
variational description of infinite, translationally-invariant
two-dimensional quantum states. However, the simulation of local
excitations is not directly possible due to the
translationally-invariant ansatz. Furthermore, as iPEPS are either
identical or orthogonal, expectation values between different states as
required during the evaluation of non-equal-time correlators are
ill-defined. Here, we show that by introducing auxiliary states on each
site, it becomes possible to simulate both local excitations and
evaluate non-equal-time correlators in an iPEPS setting under real-time
evolution. We showcase the method by simulating the
t-Jt−J
model after a single hole has been placed in the half-filled
antiferromagnetic background and evaluating both return probabilities
and spin correlation functions, as accessible in quantum gas
microscopes.
Quantum spin systems versus Schroedinger operators: A case study in spontaneous symmetry breaking
Authors: van de Ven Christiaan J. F. , Groenenboom Gerrit C. , Reuvers Robin , Landsman Klaas
Published: February 2020

Spontaneous symmetry breaking (ssb) is mathematically tied to some
limit, but must physically occur, approximately, before
the limit. Approximate ssb has been independently understood for
Schrödinger operators with double well potential in the
classical limit (Jona-Lasinio et al, 1981; Simon, 1985)
and for quantum spin systems in the thermodynamic limit
(Anderson, 1952; Tasaki, 2019). We relate these to each other in the
context of the Curie–Weiss model, establishing a remarkable relationship
between this model (for finite NN)
and a discretized Schrödinger operator with double well potential.
Engaging with the WASH enabling environment
Authors: Tyndale-Biscoe Paul , Crawford Paul , Bailey Bruce
Published: February 2020

Sustainability of WASH interventions remains a challenge despite progress and evolution in thinking in the sector. Traditional approaches based on a community engagement model have failed to connect communities to the broader enabling environment necessary for ongoing WASH services. The Australian Government's AUD103 million Civil Society WASH Fund (2013–2018) mobilised civil society organisations (CSO) to engage with the WASH enabling environment by supporting the performance of WASH sector ‘change agents’ — people with primary responsibility for WASH service delivery. This approach represented an overt shift away from previous phases that saw CSOs directly delivering infrastructure and services into communities. This paper presents three tools – Strategy Mapping, Context Mapping and the Change Agent Assessment Tool – developed by the Fund's M&E Panel to test the Fund's Theory of Change (ToC) that greater engagement with the enabling environment would enhance the sustainability of WASH services. These tools were primarily developed to facilitate structured reflection by project teams about the relevance and effectiveness of their approaches, but ultimately provided valuable datasets that appear to authenticate the Fund ToC – suggesting that investing in the enabling environment for WASH services is a more sustainable policy proposition than investing directly in community WASH infrastructure and services.

This article has been made Open Access thanks to the generous support of a global network of libraries as part of the Knowledge Unlatched Select initiative.
Photo-assisted heterogeneous Fenton-like process for treatment of PNP wastewater
Authors: Ban F. C. , Zheng X. T. , Zhang H. Y.
Published: February 2020

The purpose of this study was to investigate the effect of photo-assisted heterogeneous Fenton on p-nitrophenol (PNP) wastewater treatment by a homemade reactor. Supported Fe-Ce/Al2O3 was used as a catalyst and H2O2 as an oxidant to treat simulated p-nitrophenol wastewater under ultraviolet light. The effects of H2O2 dosage, catalyst dosage, initial solution pH value, reaction temperature and reaction time on the removal rate of p-nitrophenol in a photo-assisted heterogeneous Fenton system were determined. According to the relation between the concentration of each component and time, the relation curve is fitted, and then the kinetic equation is established. Finally, we obtained the optimum process conditions to achieve the PNP wastewater removal rate of 98.7%. The degradation of the photo-assisted heterogeneous Fenton method conforms to the first-order kinetic model, and the kinetic equation is . Therefore, photo-assisted heterogeneous Fenton treatment of PNP wastewater is effective and can be used in the treatment of refractory wastewater.
Behavioral and Neurobiological Consequences of Hedonic Feeding on Alcohol Drinking
Authors: Brutman Julianna , Davis Jon F. , Sirohi Sunil
Published: February 2020

A complex interplay of peripheral and central signaling mechanisms within the body of an organism
maintains energy homeostasis. In addition, energy/food intake is modified by various external factors (e.g., palatability,
food availability, social and environmental triggers). Highly palatable foods can provoke maladaptive
feeding behavior, which in turn disrupts normal homeostatic regulation resulting in numerous health consequences.
Furthermore, neuroendocrine peptides, traditionally considered to regulate appetite and energy homeostasis,
also control the intake and reinforcing properties of alcohol and drugs of abuse. Therefore, dysregulated
eating as a result of a hedonic/binge-like intake of hyper-palatable food may impact alcohol drinking behavior.
Relevant in this case is the fact that eating disorders are highly comorbid with several neuropsychiatric conditions,
including alcohol use disorder. The present review is intended to summarize the neurobiological and functional
consequences of hedonic feeding on alcohol intake.
Withdrawal Notice: Burden of Thyroid Dysfunction on Type 2 Diabetes Mellitus Patients with Emphasis on its Prevalence and Pattern of Presentation: A Case Controlled Study
Authors: Ezeani Ignatius , Ogbonna SU
Published: February 2020

The article has been withdrawn at the request of the editor of the journal Current Diabetes Reviews.

Bentham Science apologizes to the readers of the journal for any inconvenience this may caused.

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php

Bentham Science Disclaimer:

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be
simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been
published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is
strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal
right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By
submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and
when the article is accepted for publication.
Socioeconomic Consequences of Cervical Cancer: A Narrative Review
Authors: Refaei Mansoureh , Aghababaei Soodabeh , Yazdkhasti Mansoureh
Published: February 2020

Background:

Cervical cancer affects women in the time that they are critical to economic
and social stability.

Objective:

The aim of this narrative review to assess the socio-economic consequences of cervical
cancer.

Methods:

In this review, Pubmed, Scopus, ISI web of science, Conferences databases and Iranian
databases were searched. In order to search related articles, researchers used the following terms:
“Uterine cervical neoplasms” OR ‘cervical cancer”; Costs and cost analysis; costs of illness, burden,
socioeconomic. After the primary search, some records were obtained from 1960 to 2018. After
studying titles, abstracts, and in some cases the full texts, 48 relevant articles were included in
this research.

Results:

Hospitalization costs were the highest direct costs. However, total social costs are higher
than health and medical costs. There is a dramatic increase in direct costs with the increase in age
and stage of the disease. The costs are less for people aged 75 and up and for stage 4 because of less
invasive treatment received by older women and the limited choice of treatment in advanced stages.
The costs for persons who were screened 6 months to 5 years before diagnosis were lower.

Conclusion:

The burden of the disease is high. Early detection of cancer can save lives and reduce
health care costs. Studies evaluating the costs associated with cervical cancer as well as virusrelated
diseases in developing countries, calculating indirect costs and the impact of the disease on
family members, relatives, and especially the spouse of the affected women are recommended.
Controversial Issues of Abortion License According to Religious and Jurisprudential Laws in Iran: A Systematic Review
Authors: Ghodrati Fatemeh
Published: February 2020

Background :

Increase in the number of unwanted pregnancies has been considered to be
among the health indices of the society. A large number of children, illegitimate children, and undesirable
fetal gender might increase the prevalence of illegal abortions.

Objective:

The present study aimed to investigate the abortion license according to religious and
jurisprudential laws in Iran.

Methods:

In this review, the related articles were found through searching of PubMed, Scopus,
Google Scholar, SID, and Magiran databases as well as Muslim authorities’ sites using the following
keywords: ethics, religious, abortion, and Islamic jurists’ fatwas, without any time limitations.

Results:

The majority of Islamic jurisprudents have considered abortion to be forbidden and nonreligious
at any stage of development in case there is no justifiable reason. In case of fetal anomalies
or threats to the mother’s life, abortion is allowed, based on the jurisprudential law (al-'usr wa
el-haraj) and written permission by the department of forensic medicine. However, abortion is not
permitted after ensoulment to the fetus, according to all scholars, with the exception of a few jurisprudents.

Conclusion:

The prohibition of abortion, in the view of most jurists, is not an absolute issue and
might include exceptions. According to jurisprudential laws (al-'usr wa el-haraj), the prohibition of
abortion has been abolished. Harassment and conflict in maternal-fetal life can also provide a license
for abortion.
GC-analysis, and Antioxidant, Anti-inflammatory, and Anticancer Activities of Some Extracts and Fractions of Linum usitatissimum
Authors: Morsi Eman A. , Ahmed Hend O. , Abdel-Hady Heba , El-Sayed Mortada , Shemis Mohamed A.
Published: February 2020

Context:

Linum usitatissimum (Linn); known as Flaxseed, is one of the most important medicinal
plants traditionally used for health benefits and also as nutritional purposes.

Objective:

Estimation of total phenolic and flavonoid contents, and evaluation of the antioxidant, antiinflammatory
and anticancer activities have been performed on hexane, ethyl acetate, n-butanol, and
methanol extracts and also on fractions of methanol extract (hexane, ethyl acetate, and n-butanol).

Materials and Methods:

Phenolic and flavonoid contents were detected using spectrophotometric and
colorimetric assays. Antioxidant and anti-inflammatory activities were estimated in-vitro. Anticancer
activity of extracts was tested on Hepatocellular carcinoma cell line (HepG2) and breast cancer cell line
(MCF7).

Results:

The methanolic extract and its ethyl acetate fraction showed higher contents of total phenols
and flavonoids. Also, the methanolic extract showed a higher antioxidant activity. The butanolic and
ethyl acetate fractions at concentration 500μg/ml yielded a higher percent of inhibition of protein denaturation;
87.9% and 90%, respectively. The ethyl acetate fraction and the methanolic extract showed
an obvious anticancer activity against HepG2 and MCF7 (IC50=60±0.24 and 29.4±0.12μg. ml-1) and
(IC50=94.7±0.21 and 227±0.48μg. ml-1), respectively. The GC-MS analysis showed that the methanolic
extract had 32 compounds whereas the ethyl acetate and butanol fractions contained 40 and 36 compounds,
respectively.

Conclusion:

Flaxseed contains different biologically active compounds that have been found to possess
various activities, which can protect the human body against several diseases.
Metabolic Changes in Rat Plasma After Epilepsy by UPLC-MS/MS
Authors: Wen Congcong , Zhou Caiping , Jin Yongxi , Hu Yujie , Wang Hongzhe , Wang Xianqin , Yang Xuezhi
Published: February 2020

Introduction:

Epilepsy is one of the most common neurological diseases in clinical practice.
The combined application of metabolomics technology plays a great advantage in the screening of biomarkers.

Methods:

In this study, Wistar rats were used as experimental subjects to model intractable epilepsy
and to detect the metabolic changes of small molecules in plasma. UPLC-MS/MS was used to determine
the small molecules in rat plasma. UPLC HSS C18 (2.1mm×100mm, 1.7 μm) column was used
for separation, column temperature of 40°C. The initial mobile phase was acetonitrile -0.3% formic
acid with gradient elution, the flow rate was 0.3 mL/min, total running time 4.0 min. Quantitative analysis
was performed with multi-response monitoring (MRM).

Results:

Compared to the control group, the L-Alanine and L-Arginine decreased in the Epilepsy group
(p<0.05); while Cytosine, Adenosine, L-Tyrosine, Citric acid, Fructose increased (p<0.05).

Conclusion:

In the screening of epilepsy biomarkers using metabolomics, various amino acids that
lead to increased energy production and neurotransmitter imbalance play an important role in epileptic
seizures.
Withdrawal Notice: CELP-IR: Caching Efficiency with Location Prediction based Invalidation and Replacement Policy
Authors: Gupta Ajay K. , Shanker Udai
Published: February 2020

:

The article has been withdrawn at the request of the editor of the journal International Journal of Sensors, Wireless Communications
and Control

:

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.
The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php.

:

BENTHAM SCIENCE DISCLAIMER:

:

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously
submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere
must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting
the article for publication the authors agree that the publishers have the legal right to take appropriate action against the
authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright
of their article is transferred to the publishers if and when the article is accepted for publication.
Minimizing Energy Consumption and SLA Violation in Fog Computing Using Artificial Neural Network
Authors: Sharma Shivi , Saini Hemraj
Published: February 2020

With the fast development of cloud computing methods, exponential growth is faced by
several users. It is complicated for traditional data centers to perform several jobs in real-time because
of inadequate bandwidth resources. Therefore, the method of fog computing is recommended
for supporting and providing fast cloud services. It is not a substitute but is a powerful complement
to cloud computing. The reduction of energy consumption through the notion of fog
computing has certainly been a challenge for current researchers, industries, and communities.
Various industries, including finance and healthcare, require a rich resource-based platform for
processing large amounts of data with cloud computing across fog architecture. The consumption
of energy across fog servers relies on allocating techniques for services (user requests). It facilitates
processing at the edge with the probability of interacting with the cloud. This article proposed
energy-aware scheduling by using Artificial Neural Network (ANN) and Modified Multiobjective
Job Scheduling (MMJS) techniques. The emphasis of the work is on the reduction of energy
consumption rate with less Service Level Agreement (SLA) violation in fog computing for
data centers. The result shows that there is a 3.9% reduction in SLA violation when a multiobjective
function with Artificial Neural Network is applied.
Analysis of Contact Strength for Nutation Transmission with Conical Movable Teeth by Fractal Theory
Authors: Zhu Lili , Wang Guangxin , He Wenjie , Fan Wenzhong
Published: February 2020

Background:

Nutation transmission with conical movable teeth is a patent about a new type
of spacial movable tooth drive that was developed based on the bevel planetary gear drive with a difference
in the number of small teeth.

Objective:

The aim of this study was to establish the fractal contact model and calculate the contact
strength of the center gear in the nutation transmission with conical movable teeth based on the M-B
fractal contact theory and also to demonstrate the validity of the present solution by comparing it with
the FEM results and the Hertz contact results.

Methods:

Based on the fractal theory, the relationship between the loads and the area for the tapered
roller teeth in contact with the center disk was obtained, and the four basic parameters were simulated
to analyze the effect of the fractal contact model in MATLAB.

Results:

The accuracy of the fractal contact model was verified using numerical simulation and analysis
of the relationship diagram for the real contact area and load and the contact area ratio chart with different
parameters.

Conclusion:

Based on the FEM theory, the Hertz elastic contact theory, and the fractal theory, the tooth
surface contact strength of the center disk was compared and analyzed, which enabled us to demonstrate
the validity of the present solution, and measures were taken to optimize and improve the followup
design of the nutation drive.
Factors Affecting the Wear Behavior of Monolithic Zirconia and the Antagonists: Literature Review
Authors: Borba Marcia , Benetti Paula , Furini Giordana P. , Weber Kátia R. , da Silva Tábata M.
Published: February 2020

Background:

The use of zirconia-based ceramics to produce monolithic restorations has increased due to improvements in the optical properties of the materials. Traditionally, zirconiabased ceramics were veneered with porcelain or glass-ceramic and were not directly exposed to the oral environment. Therefore, there are several doubts regarding the wear of the monolithic zirconia restoration and their antagonists. Additionally, different surface treatments are recommended to promote a smooth surface, including glaze and several polishing protocols. To support the correct clinical application, it is important to understand the advantages and limitations of each surface treatment.

Objective:

The aim of this short literature review is to investigate the factors that may affect the wear of monolithic zirconia restorations in service and their antagonists.

Methods:

Pubmed/Medline database was accessed to review the literature from a 10-year period using the keywords: zirconia, monolithic, prosthesis, wear. Both clinical and in vitro studies were included in the review.

Results:

Studies investigated the effect of several surface treatments, including grinding with diamond- burs, polishing and glazing, on the surface roughness, phase transformation and wear capacity of monolithic zirconia. The wear behavior of monolithic zirconia was frequently compared to the wear behavior of other ceramics, such as feldspathic porcelain, lithium disilicate-based glassceramic and leucite-reinforced glass-ceramic. Human tooth, ceramics and resin composites were used as antagonist in the investigations. Only short-term clinical studies are available (up to 2 years).

Conclusion:

Literature findings suggest that zirconia monolithic restorations are wear resistant and unlikely to cause excessive wear to the antagonist, especially when compared to feldspathic porcelain and glass-ceramics. Monolithic zirconia should be polished rather than glazed. Yet, none of the polishing systems studied was able to completely restore the initial surface conditions of zirconia after being adjusted with burs. More clinical evidence of the antagonist tooth wear potential of monolithic zirconia is needed.
Pharmacophore Based QSAR Modelling of Natural Leads in Antimicrobial Drug Design
Authors: Devi J. Renuka , Devi G. Nandhini , Bavanilatha M. , Gayathri G. , Kowsalyaleela K. , Anusha S. , Durga M. , Ramani R. , Sabitha K.
Published: February 2020

:

To separate and optimize the bioactive fraction of Hemidesmus indicus as an
antimicrobial lead using in silico QSAR model development.

:

Hemidesmus indicus was extracted by soxhalation. The crude extract is fractionated using solvents
of different polarity and assessed for its antimicrobial activity. The bioactive fraction is further
analysed by GC-MS to analyse the constituents. These moieties were studied for their molecular
interaction using CoMFA based QSAR model development.

:

The bioactive fraction found to have antibacterial and antifungal activities. GC-MS revealed the
presence of eicosane, pthalic acid, oleanen 3 -yl acetate and substituted alkanes. Force field
analysis followed by simulation revealed that pthalic acid was found to have interaction with the
receptors.

:

Thus the integration of activity guided fractionation with cheminformatics may reveal the putative
leads in drug design. Pthalic acid analogues can thus be optimized further by subjecting to
preclinical drug studies.
Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development
Authors: Yeng Prosper Kandabongee , Woldaregay Ashenafi Zebene , Solvoll Terje , Hartvigsen Gunnar
Published: February 2020

Background

The time lag in detecting disease outbreaks remains a threat to global health security. The advancement of technology has made health-related data and other indicator activities easily accessible for syndromic surveillance of various datasets. At the heart of disease surveillance lies the clustering algorithm, which groups data with similar characteristics (spatial, temporal, or both) to uncover significant disease outbreak. Despite these developments, there is a lack of updated reviews of trends and modelling options in cluster detection algorithms.

Objective

Our purpose was to systematically review practically implemented disease surveillance clustering algorithms relating to temporal, spatial, and spatiotemporal clustering mechanisms for their usage and performance efficacies, and to develop an efficient cluster detection mechanism framework.

Methods

We conducted a systematic review exploring Google Scholar, ScienceDirect, PubMed, IEEE Xplore, ACM Digital Library, and Scopus. Between January and March 2018, we conducted the literature search for articles published to date in English in peer-reviewed journals. The main eligibility criteria were studies that (1) examined a practically implemented syndromic surveillance system with cluster detection mechanisms, including over-the-counter medication, school and work absenteeism, and disease surveillance relating to the presymptomatic stage; and (2) focused on surveillance of infectious diseases. We identified relevant articles using the title, keywords, and abstracts as a preliminary filter with the inclusion criteria, and then conducted a full-text review of the relevant articles. We then developed a framework for cluster detection mechanisms for various syndromic surveillance systems based on the review.

Results

The search identified a total of 5936 articles. Removal of duplicates resulted in 5839 articles. After an initial review of the titles, we excluded 4165 articles, with 1674 remaining. Reading of abstracts and keywords eliminated 1549 further records. An in-depth assessment of the remaining 125 articles resulted in a total of 27 articles for inclusion in the review. The result indicated that various clustering and aberration detection algorithms have been empirically implemented or assessed with real data and tested. Based on the findings of the review, we subsequently developed a framework to include data processing, clustering and aberration detection, visualization, and alerts and alarms.

Conclusions

The review identified various algorithms that have been practically implemented and tested. These results might foster the development of effective and efficient cluster detection mechanisms in empirical syndromic surveillance systems relating to a broad spectrum of space, time, or space-time.
The Functional Neurometry: An Advanced Method of Mapping and Biofeedback Training of the Autonomic Nervous System Functions (Preprint)
Authors: Ribas Sr Valdenilson Ribeiro
Published: February 2020

BACKGROUND

Functional Neurometry makes Biofeedback tools already demonstrated in the literature, such as: galvanic skin response, cardiac coherence and variability, thermoregulatory and respiratory interact with each other.

OBJECTIVE

The aim of this study was to report the historical and methodological aspects of the Functional Neurometry protocols.

METHODS

A review was made in the MEDLINE / PubMed electronic indexing database and in the Web of Science.

RESULTS

This method intends to synchronize the frequencies of various organs linked to the autonomic nervous system (ANS) to control anxiety. Assessment and training are organized into categories. The categories of the assessment protocol are: 1st) Anxiety Control; 2nd) Physiological Response; 3rd) Baroreflex Index; 4th) hemodynamics; and 5th) Brain Neurometry and the training protocol categories are: I) Sound Anxiety Control; II) Visual Anxiety Control; III) Emotional Variability; IV) Respiratory Amplitude and Frequency; V) Progressive Muscle Relaxation; VI) Functional Physiological Response; VII) Respiratory Functional Capacity; VIII) Heart Rate Variability and IV) Cardiac Coherence.

CONCLUSIONS

Functional neurometry mainly enables ANS balance.
A Clinical Trial to Increase Self-Monitoring of Physical Activity and Eating Behaviors Among Adolescents: Protocol for the ImPACT Feasibility Study (Preprint)
Authors: Moore Justin B , Dilley Joshua R , Singletary Camelia R , Skelton Joseph A , Miller Jr David P , Heboyan Vahé , De Leo Gianluca , Turner-McGrievy Gabrielle , McGrievy Matthew , Ip Edward H
Published: February 2020

BACKGROUND

Severe obesity among youths (BMI for age≥120th percentile) has been steadily increasing. The home environment and parental behavioral modeling are two of the strongest predictors of child weight loss during weight loss interventions, which highlights that a family-based treatment approach is warranted. This strategy has been successful in our existing evidence-based pediatric weight management program, Brenner Families in Training (Brenner FIT). However, this program relies on face-to-face encounters, which are limited by the time constraints of the families enrolled in treatment.

OBJECTIVE

This study aims to refine and test a tailored suite of mobile health (mHealth) components to augment an existing evidence-based pediatric weight management program.

METHODS

Study outcomes will include acceptability from a patient and clinical staff perspective, feasibility, and economic costs relative to the established weight management protocol alone (ie, Brenner FIT vs Brenner FIT + mHealth [Brenner mFIT]). The Brenner mFIT intervention will consist of 6 mHealth components designed to increase patient and caregiver exposure to Brenner FIT programmatic content including the following: (1) a mobile-enabled website, (2) dietary and physical activity tracking, (3) caregiver podcasts (n=12), (4) animated videos (n=6) for adolescent patients, (5) interactive messaging, and (6) in-person tailored clinical feedback provided based on a web-based dashboard. For the study, 80 youths with obesity (aged 13-18 years) and caregiver dyads will be randomized to Brenner FIT or Brenner mFIT. All participants will complete baseline measures before randomization and at 3- and 6-month follow-up points.

RESULTS

This study was approved by the Institutional Review Board in July 2019, funded in August 2019, and will commence enrollment in April 2020. The results of the study are expected to be published in the fall/winter of 2021.

CONCLUSIONS

The results of this study will be used to inform a large-scale implementation-effectiveness clinical trial.

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/18098
Oversampling Method To Handling Imbalanced Datasets Problem In Binary Logistic Regression Algorithm
Authors: Ustyannie Windyaning , Suprapto Suprapto
Published: February 2020

The class imbalance is a condition when one class has a higher percentage than the other then it can affect the accuracy. One method in data mining that can be used to classification is logistic regression method. The method used in this research is RWO-sampling method using random replicate approach for synthetic data generation on descrete attribute. The result of the research can handle the problem of class imbalance, RWO-sampling method with random replicate approach shows better accuracy than RWO-sampling method with roulette and ROS approach. The accuracy value for RWO-Sampling method with roulette and RWO-Sampling approach with random replicate approach has increased to an average of 15.55% of each dataset. As for comparithem with the ROS method has increased an average of 3.7% of each dataset. Furthermore, for testing the underfitting problem in logistic regression, the oversampling method is better than non-oversampling with an increase in accuracy value reaching an average of 2.3% of each dataset.
The Development of IoT Compression Technique To Cloud
Authors: Sari Kartika , Riasetiawan Mardhani
Published: February 2020

The main problem of data transmission is how to reduce the length of data packet delivery, so it can reduce the time of sending data. One method that can be used to reduce the data size is by compressing the data size. Data compression is a technique for compressing data to get the data with smaller size than the original size so that it can shorten the data exchange timeThis study aims to develop the data compression techniques by modifying and combining the coding and modelling techniques based on the RAKE algorithm. This study testing experiments use 4 different methods in 5 different time-periods to determine the value of the compression, decompression efficiency parameters, and the data transmission time parameters.The result of this study is the data coding technique that using decimal to binary converter data and the modeling technique by calculating the residue from the sensor value will produce data in small sizes and get a compression efficiency value of 45%. For coding techniques using ASCII and modeling techniques with XOR operations will produce bigger size data and the compression efficiency value of 71%. In testing data decompression, the decompression efficiency value of 100%, there is no data loss.
Classification of Tangerine (Citrus Reticulata Blanco) Quality Using Combination of GLCM, HSV, and K-NN
Authors: Listya Friska Ayu , Rokhman Nur
Published: February 2020

The quality of fruit production is very important because it is related to the value of sales. Data from the Directorate General of Horticulture at the Ministry of Agriculture in 2017 showed that 94,3% of the total yield of citrus fruits is a type of tangerine. In the classification of the quality, the visual observation process is strongly influenced by subjectivity so that in certain conditions such as tired eyes and the number of oranges that want to classify too many the process can be inconsistent and also take a long time. Therefore, a technology is needed to accelerate the classification process and make it more objective. This study combines the Gray level Co-occurrence Matrix (GLCM) method for texture, Hue, Saturation, Value (HSV) features for color features and the k-Nearest Neighbor (k-NN) classification method. The data used were 60 images of rotten tangerines and 60 images of not rotten tangerines divided using a 4-fold cross-validation method to find the best combination of data training and data testing. 3 main processes will be carried out, namely preprocessing, feature extraction and classification. This study produced the highest accuracy of 80% from the combined of GLCM and HSV features extraction with value k = 5 for k-NN .
Spatial Condition in Intuitionistic Fuzzy C-Means Clustering for Segmentation of Teeth in Dental Panoramic Radiographs
Authors: Gunawan Wawan , Zainal Arifin Agus , Rosidin Undang , Kadaritna Nina
Published: February 2020

Dental panoramic radiographs heavily depend on the performance of the segmentation method due to the presence of unevenly illumination and low contrast of the images. Conditional Spatial Fuzzy C-mean (csFCM) Clustering have been proposed to achieve through the incorporation of the component and added in the FCM to cluster grouping. This algorithm directs with consideration conditioning variables that consider membership value. However, csFCM does not consider Intuitionistic Fuzzy Set to take final membership and final non-membership value into account, the effect does not wipe off the deviation by illumination and low contrast of the images completely for improvement to skip some scope. In this current paper, we introduced a new image segmentation method namely Conditional Spatial in Intuitionistic Fuzzy C-Means Clustering for Segmentation of Teeth in Dental Panoramic Radiographs. Our proposed method adds hesitation function aiming to settle the indication of the knowledge lack that belongs to the final membership function to get a better segmentation result. The experiment result shows this method achieves better segmentation performance with misclassification error (ME) and relative foreground area error (RAE) values are 4.77 and 4.27 respectively.
An Interactive Content Media on Information System iLearning+
Authors: Rahardja Untung , Handayani Indri , Lutfiani Ninda , Oganda Fitra Putri
Published: February 2020

Along with the increasing development of Information and Communication Technology (ICT), there has been a change in the learning approach method. Methods of face-to-face learning (conventional) and classrooms as implementation have now changed. The ilearning method approach has turned into the direction of future learning or as a learning age of knowledge. In the world of education, information becomes a vital need to support teaching and learning activities. In the online learning system that applied to iLearning+ information needs become critical needs therein. But in reality, the delivery of information is not done online, but with current information such as the delivery of information is done in an intermediary between lecturers and students, which must be done face to face so get a piece of information. So in that event, a system is needed to be able to convey information with a Web-based system so that delivery can be done online and can be accessed anytime and anywhere without being limited by time and space. In this study, using the literature review research method as a comparison material on existing research.
Model Identifikasi Kata Ucapan Tuna Wicara
Authors: Wiranda Nuruddin , Putro Agfianto Eko
Published: February 2020

Speech impaired is the inability of someone to speak, even though speaking ability is important in order to communicate with other people. Dealing with this as someone who has speech impairments has their own way of communicating, namely by using sign language, but not everyone understands the sign language. The MFCC and Backpropagation ANN methods are implemented on a Single Board Computer (SBC) designed to overcome speech impaired communication problems. The MFCC method is used to retrieve the features of speech impairment and the Backpropagation ANN is used for sound pattern recognition.The system was trained using 750 sound samples consisting of 5 speakers, each uttering as many as 30 repetitions of the pronunciation of words (makan, kamar, kerja, harga and lapar), then tested using 125 sound samples consisting of 5 speakers, each saying 5 repetitions of words. Training and testing of Backpropagation ANN using input coefficients generated from MFCC. The results showed that the MFCC and Backpropagation ANN methods were able to identify speech words with 60% accuracy, 40% precision and 40% sensitivity.
Analisis Respons Sensor Electroni Tongue terhadap Sampel Ganja menggunakan Support Vector Machine
Authors: Rahmantyo Wikan Haryo , Lelono Danang
Published: February 2020

Electronic tongue sensors consisting of 16 sensor array made of TOMA and OA lipids that have been used to classify samples of pure cannabis, cannabis mixed with tea and cannabis mixed with tobacco does not involve the feature selection technique so that a lot of duplicated data is generated from data sampling. Feature selection is performed using PCA. Data analysis resulted in loading values shows the contribution of each sensor, and the similarity in sensor performance in characterizing samples, then analyzed using the correlation test so that the sensors that produce redundant information are known. Validation is performed using the SVM method and the classification performance is compared to the original sensor.The sensor optimization produces a subset of features with 6 sensors (Sensor 7, Sensor 10, Sensor 12, Sensors 13, Sensor 14 and Sensor 15) in the cannabis-tea sample test and a feature subset with 3 sensors (Sensor 3, Sensor 7 and Sensor 14) in the cannabis-tobacco sample test. Sensor optimization that has been done produced classification accuracy by 100% and shorten the running time by a difference of 0.578 microseconds in the test of cannabis-tea samples and a difference of 1.696 microseconds in the test of cannabis-tobacco samples.
Klasifikasi Tingkat Kemurnian Bahan Bakar Minyak Berdasarkan Cepat Rambat Gelombang Menggunakan Algoritma K-Nearest Neighbor
Authors: Wijaya Rangga Pujianto , Rouf Abdul , Supardi Tri Wahyu
Published: February 2020

The need for fuel oil has increased along with the increase of population, the number of vehicles and industries. An increase in demand for fuel oil is used by some people to make a profit by selling mixed fuel oil at the same price as the price set by the government. The purpose of this study is to create a prototype device that can characterize the type of fuel oil and create a classification system to determine the level of fuel purity with 40 kHz ultrasonic waves based on the parameters of wave velocity using the K-Nearest Neighbor (KNN) algorithm.This device works by using a 40 kHz ultrasonic wave that is connected to an ultrasonic transmitter. The propagated wave will be received by the ultrasonic receiver. The wave received by the receiver will be amplified and connected to the comparator circuit so that it can be processed by a microcontroller. Data obtained using this tool are wave travel time, wave velocity, density, and attenuation. The data used for classification systems using the KNN algorithm is wave velocity.Classification using the KNN algorithm can identify the level of fuel purity based on the parameters of the wave velocity obtained from ultrasonic wave gauges with an accuracy of 72.50%. Wave velocity which is measured using ultrasonic waves is directly proportional to the actual speed with the largest percentage of deviations that is 0.34%.
C=OCARBOHIDRATOS: efecto del juego sobre el aprendizaje
Authors: Vera-Monroy Sulma Paola , Mejia-Camacho Alexander , Gamboa Mora Maria Cristina
Published: February 2020

La implementación de un juego educativo como herramienta didáctica para el aprendizaje de los conceptos de carbohidratos, se planteó con 111 estudiantes del grupo experimental y 79 del grupo control. El juego incluyó elementos visuales y textuales que facilitaron la comprensión; la validez se estableció por expertos e indicadores académicos de efectividad. El efecto sobre el aprendizaje se evaluó con un pretest/postest con alfa de 0,86. La homogeneidad poblacional y las diferencias entre grupos se establecieron con contraste de hipótesis Wilcoxon y U de Mann-Whitney, el promedio del grupo experimental incrementó sus resultados en 2,6 puntos respecto al grupo control. Los indicadores permiten concluir que la herramienta motiva, mejora el rendimiento académico, favorece el trabajo en equipo y promueve la generación de procesos cognitivos requeridos para el aprendizaje.
Estrés oxidativo ¿un asesino silencioso?
Authors: Ortiz Escarza Jorge Manuel , Medina López Manuel Eusebio
Published: February 2020

En este trabajo se plantea como el estrés oxidativo podría estar involucrado como agente etiológico en un gran número de enfermedades. Se considera que la producción de especies reactivas de oxígeno (ERO) en bajas concentraciones son importantes y necesarias para el buen funcionamiento celular; para mantener el estado de equilibrio el organismo cuenta con mecanismos antioxidantes endógenos, además existen moléculas antioxidantes exógenas que coadyuban a mantener una baja concentración de las ERO. Una producción excesiva o la inhibición de las rutas antioxidantes endógenas inducen al organismo a un estado de estrés oxidativo, que pone en riesgo la homeostasis celular y como consecuencia, el riesgo de contraer enfermedades que disminuyen la calidad de vida y que, en algunas circunstancias podría poner en riesgo la vida.
Interação medicamentosa em instituição de longa permanência para idosos do sul de Minas Gerais
Authors: Palos Nishida Felipe , Vallim Jorgetto Giovanna , Vallim Jorgetto Juliana , Salvi Júnior Ademir
Published: February 2020

Objetivo: Abordar as possíveis interações medicamentosas que possa existir em uma instituição de longa permanência para idosos (ILPI). Método: Estudo de caráter observacional, retrospectivo, descritivo, realizado em uma ILPI em uma cidade do Sul de Minas Gerais, entre os meses de agosto a outubro de 2015. Resultados: Mais de 50% dos assistidos tiveram algum tipo de interação, principalmente devido ao uso de medicamentos de uso contínuo e/ou esporádico, com dano ou risco à saúde, evidenciando a importância da atenção farmacêutica no local estudado. Conclusão: A interação medicamentosa é comum em pacientes que fazem uso de polifarmácia, principalmente com medicamentos de via oral, caso da grande maioria da população em estudo.
Typological assessment of dairy farms systems in semi-arid Mediterranean region of Western Algeria
Authors: Yerou Houari , Homrani Abdelkader , Benhanassali Abdelkader , Boussedra Daho
Published: February 2020

The present study aimed to characterize the dairy cattle farming systems in
semi arid region in western Algeria. A typology of the farms was established
following the description of livestock dairy farming practices and the
assessment of their contribution to farm efficiency. The enquiry was
conducted on 60 dairy farms during 2018-2019 agricultural campaign to
determine structural, technical and economic parameters. The Results show a
large diversity of farmer?s strategies, particularly in feeding and economic
indicators. The statistical analysis has identified 3 groups of farms. The
first group contains 12 farms produce average milk yield about 4120 kg and
promote use of forages. The participation of concentrates in total dry
matter ingestion (DMI) is about 45.3 %, the average costs of milk production
is of 37.1 DA/ liter?0.52 ? and charge of food in total production costs in
the order of 62.8 %. 32 dairy farms of second group are characterized by
average milk yields 3240 kg and the contribution of concentrated foods
represents 49.2 % of total DMI. The cost of liter of milk is about 42.7
DA?0.60 ? and food costs in order of 68.7 % of total production costs. The
third group contains 16 dairy farms whose illustrates farms with a
significant contribution of concentrates in the global feed balance (54.3 %
of total DMI). These concentrated foods were poorly converted into milk as
recorded yields are the lowest (2010 kg). Production costs of liter milk and
the percentage price of food in total cost production were respectively
highest (49.4 DA?0.69 ?) and (80.2 %). The results of this typology indicate
the diversity of dairy farms systems in semi-arid region in North Africa,
which must be taken to ensure the profitability and sustainability of farms
identified. The socio-economic factors are behind the genesis of sample
farms, the technical feeding and rationing and no diversification of forage
calendar make clear the variations in groups of dairy husbandry. To
guarantee sustainability development of typological groups, a specific
measure, particularly in feeding management, will be applied for different
livestock systems identified.
Applications of the abrasive water jet technique in civil engineering
Authors: Jankovic Predrag , Igic Tomislav , Radovanovic Miroslav , Turnic Dragana , Zivkovic Srdjan
Published: February 2020

Water jet processing techniques can be successfully applied in many fields of
civil engineering, such as: structural engineering, structural
reconstruction, renovation, demolition and recycling. The problem of cutting
difficult-to-machine materials led to the development and application of
today the most attractive method for contour cutting - Abrasive Water Jet
Cutting (AWJC). It is a high-tech technique that provides unique
capabilities compared to conventional machining processes. This paper, along
the theoretical derivations, provides a study on use of water jet in
construction and civil engineering. The particular part of this paper deals
with the results of the original experimental research on granite and
aluminum cutting.