bluuebunny/crossref_metadata_2025 huggingface dataset:
Generalised Odd Frechet Family of Distributions: Properties and Applications
Authors: Marganpoor Shahdie , Ranjbar Vahid , Alizadeh Morad , Abdollahnezhad Kamel
Published: September 2020

A new distribution called Generalized Odd Fréchet (GOF) distribution is presented and its properties explored. Some structural properties of the proposed distribution, including the shapes of the hazard rate function, moments, conditional moments, moment generating function, skewness, and kurtosis are presented. Mean deviations, Lorenz and Bonferroni curves, Rényi entropy, and the distribution of order statistics are given. The maximum likelihood estimation technique is used to estimate the model parameters, and finally applications of the model to a real data set are presented to illustrate the usefulness of the proposed distribution.
Pharmaceutical Aspects of Green Synthesized Silver Nanoparticles: A Boon to Cancer Treatment
Authors: Mishra Vijay , Nayak Pallavi , Singh Manvendra , Tambuwala Murtaza M. , Aljabali Alaa A. , Chellappan Dinesh K. , Dua Kamal
Published: September 2020

Background:

Silver nanoparticles (AgNPs) are among the most investigated nanostructures in recent
years, which exhibit more challenging and promising qualities in different biomedical applications. The AgNPs
synthesized by the green approach provide potential healthcare benefits over chemical approaches, including
improvement of tissue restoration, drug delivery, diagnosis, being environmentally friendly, and a boon to cancer
treatment.

Objective:

In the current scenario, the development of safe and effective drug delivery systems is the utmost
concern of formulation development scientists as well as clinicians.

Methods:

Google, Web of Science, and PubMed portals have been searched for potentially relevant literature to
get the latest developments and updated information related to different aspects of green synthesized AgNPs
along with their biomedical applications, especially in the treatment of different types of cancers.

Results:

The present review highlights the latest published research regarding the different green approaches for
the synthesis of AgNPs, their characterization techniques as well as various biomedical applications, particularly
in cancer treatment. In this context, environment-friendly AgNPs are proving themselves as better candidates in
terms of size, drug loading and release efficiency, targeting efficiency, minimal drug-associated side effects,
pharmacokinetic profiling, and biocompatibility issues.

Conclusion:

With continuous efforts by multidisciplinary team approaches, nanotechnology-based AgNPs will
shed new light on diagnostics and therapeutics in various disease treatments. However, the toxicity issues of
AgNPs need greater attention as unanticipated toxic effects must be ruled out for their diversified applications.
Comparative Analysis of the Rabbit Endothelial Progenitor Cells from Bone Marrow and Peripheral Blood Treated with Selenium Nanoparticles
Authors: Shoeibi Sara
Published: September 2020

Background:

Selenium nanoparticles (Se-NPs) are known for their antioxidant and anti-inflammatory activities, which are
effective in preventing oxidative damage and improving physiological processes.

Objectives:

This study aimed at investigating the effects of biosynthesized Se-NPs on bone marrow-derived endothelial progenitor cells
(bone marrow-derived EPCs) and blood-derived endothelial progenitor cells (blood-derived EPCs) isolated from rabbits in vitro.

Methods:

The cultured EPCs incubated with biosynthesized Se-NPs at the concentrations of 0.19, 0.38, 0.76, 1.71, 3.42, 7.03, 14.25,
28.50, 57, 114, and 228 μg/ml for 48 h. After screening of the proliferative potential of the Se-NPs by the MTT assay, the best
concentrations were selected for real-time quantitative polymerase chain reaction (RT-qPCR). Real-time quantification of vascular cell
adhesion molecule 1 (VCAM-1), lectin-like oxidized low-density lipoprotein (LDL) receptor-1 (LOX-1), endothelial nitric oxide
synthase (eNOS), and monocyte chemoattractant protein-1 (MCP-1) gene expressions were analyzed by normalizing with
glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as an endogenous reference gene.

Results:

Blood-derived EPCs and bone marrow-derived EPCs showed morphological differences before treatment in vitro. Se-NPs
treated EPCs indicated a significant dose-dependent proliferative activity (P<0.01). In general, the expression levels of VCAM-1, LOX1, and MCP-1 mRNA were significantly decreased (p<0.01), whereas that of the eNOS expression was significantly increased at the
concentrations of 7.3 and 14.25 µg/ml (p<0.01). Although the expressions of MCP-1, LOX-1, and eNOS mRNA were decreased at
certain concentrations of Se-NPs (p<0.01 and p<0.05, respectively) in the treated bone marrow-derived EPCs, no significant differences
were observed in the VCAM-1 mRNA expression levels in bone marrow-derived EPCs compared with the control group (P>0.05).

Conclusions:

This was the first report to demonstrate the effects of Se-NPs on proliferative, anti-oxidative, and anti-inflammatory
activities for bone marrow-derived EPCs and blood-derived EPCs. Our findings suggested that Se-NPs could be considered as an
effective agent that may ameliorate vascular problems.
The Relationship between Core Self-Evaluations and Affective Commitment
Authors: Kittinger Joshua D. , Walker Alan G. , Cope John G. , Wuensch Karl L.
Published: September 2020

Core self-evaluations (CSE), a broad personality construct, has recently generated a great deal of research attention. However, while CSE has been found to be related to numerous relevant work outcomes (e.g., job satisfaction and job performance) and appears to be growing in its theoretical importance to the understanding of behavior at work, its relationship to Affective Commitment (AC) has not been investigated. Our results demonstrated that while CSE and AC are indeed related that, in order to fully understand this relationship, both job satisfaction and perceived job characteristics must also be considered since both fully mediate the CSE – AC relationship.
Спектральные характеристики свечения поверхности частиц каменных углей во время воздействия лазерных импульсов в режиме свободной генерации
Authors: Адуев Б.П. , Нурмухаметов Д.Р. , Крафт Я.В. , Исмагилов З.P.
Published: September 2020

In this work, we investigated the glow spectra of coal fractions with dimensions 63 μm directly during the action of neodymium laser pulses (120 μs). Depending on the radiation energy density H, the emission spectra have a different character. The glow at the minimum values ​​of the laser pulse energy density Hcr (1) is associated with the ignition of small coal particles (~ 1 μm) present in the fractions and the ignition of reactive microprotrusions on the surface of the larger coal particles. The glow spectra at this stage are of a non-thermal nature and are associated with the emission of molecules of volatile substances in the gas phase and the products of their oxidation. With an increase in the laser pulse energy density H, a thermal glow of the surface of larger coal particles is observed, which is described by the Planck formula at T = 3100 K. When H = Hcr (2) is reached, the surface of the coal particles is ignited during the action of the laser pulse. Contributions to the spectra are the glow of the surface of coal particles, emitted carbon particles, and the glow associated with the emission of excited molecules H2, H2O, CO2. With an increase in H> Hcr (2), the processes leading to the glow of coal particles during a laser pulse are similar to those described above for Hcr (2), but the glow intensity increases
Chronological Age Assessment in Young Individuals Using Bone Age Assessment Staging and Nonradiological Aspects: Machine Learning Multifactorial Approach (Preprint)
Authors: Dallora Ana Luiza , Kvist Ola , Berglund Johan Sanmartin , Ruiz Sandra Diaz , Boldt Martin , Flodmark Carl-Erik , Anderberg Peter
Published: September 2020

BACKGROUND

Bone age assessment (BAA) is used in numerous pediatric clinical settings as well as in legal settings when entities need an estimate of chronological age (CA) when valid documents are lacking. The latter case presents itself as critical as the law is harsher for adults and granted rights along with imputability changes drastically if the individual is a minor. Traditional BAA methods have drawbacks such as exposure of minors to radiation, they do not consider factors that might affect the bone age, and they mostly focus on a single region. Given the critical scenarios in which BAA can affect the lives of young individuals, it is important to focus on the drawbacks of the traditional methods and investigate the potential of estimating CA through BAA.

OBJECTIVE

This study aims to investigate CA estimation through BAA in young individuals aged 14-21 years with machine learning methods, addressing the drawbacks of research using magnetic resonance imaging (MRI), assessment of multiple regions of interest, and other factors that may affect the bone age.

METHODS

MRI examinations of the radius, distal tibia, proximal tibia, distal femur, and calcaneus were performed on 465 men and 473 women (aged 14-21 years). Measures of weight and height were taken from the subjects, and a questionnaire was given for additional information (self-assessed Tanner Scale, physical activity level, parents' origin, and type of residence during upbringing). Two pediatric radiologists independently assessed the MRI images to evaluate their stage of bone development (blinded to age, gender, and each other). All the gathered information was used in training machine learning models for CA estimation and minor versus adult classification (threshold of 18 years). Different machine learning methods were investigated.

RESULTS

The minor versus adult classification produced accuracies of 0.90 and 0.84 for male and female subjects, respectively, with high recalls for the classification of minors. The CA estimation for the 8 age groups (aged 14-21 years) achieved mean absolute errors of 0.95 years and 1.24 years for male and female subjects, respectively. However, for the latter, a lower error occurred only for the ages of 14 and 15 years.

CONCLUSIONS

This study investigates CA estimation through BAA using machine learning methods in 2 ways: minor versus adult classification and CA estimation in 8 age groups (aged 14-21 years), while addressing the drawbacks in the research on BAA. The first achieved good results; however, for the second case, the BAA was not precise enough for the classification.
An Ovarian Reserve Assessment Model Based on Anti-Müllerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study (Preprint)
Authors: Xu Huiyu , Shi Li , Feng Guoshuang , Xiao Zhen , Chen Lixue , Li Rong , Qiao Jie
Published: September 2020

BACKGROUND

Previously, we reported a model for assessing ovarian reserves using 4 predictors: anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age. This model is referred as the AAFA (anti-Müllerian hormone level–antral follicle count–follicle-stimulating hormone level–age) model.

OBJECTIVE

This study aims to explore the possibility of establishing a model for predicting ovarian reserves using only 3 factors: AMH level, FSH level, and age. The proposed model is referred to as the AFA (anti-Müllerian hormone level–follicle-stimulating hormone level–age) model.

METHODS

Oocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist were collected retrospectively at our reproductive center. Poor ovarian response (<5 oocytes retrieved) was defined as an outcome variable. The AFA model was built using a multivariable logistic regression analysis on data from 2017; data from 2018 were used to validate the performance of AFA model. Measurements of the area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predicative value were used to evaluate the performance of the model. To rank the ovarian reserves of the whole population, we ranked the subgroups according to the predicted probability of poor ovarian response and further divided the 60 subgroups into 4 clusters, A-D, according to cut-off values consistent with the AAFA model.

RESULTS

The AUCs of the AFA and AAFA models were similar for the same validation set, with values of 0.853 (95% CI 0.841-0.865) and 0.850 (95% CI 0.838-0.862), respectively. We further ranked the ovarian reserves according to their predicted probability of poor ovarian response, which was calculated using our AFA model. The actual incidences of poor ovarian response in groups from A-D in the AFA model were 0.037 (95% CI 0.029-0.046), 0.128 (95% CI 0.099-0.165), 0.294 (95% CI 0.250-0.341), and 0.624 (95% CI 0.577-0.669), respectively. The order of ovarian reserve from adequate to poor followed the order from A to D. The clinical pregnancy rate, live-birth rate, and specific differences in groups A-D were similar when predicted using the AFA and AAFA models.

CONCLUSIONS

This AFA model for assessing the true ovarian reserve was more convenient, cost-effective, and objective than our original AAFA model.
Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal Study (Preprint)
Authors: Lin Yu-Hsuan , Chiang Ting-Wei , Lin Yu-Lun
Published: September 2020

BACKGROUND

Real-time global mental health surveillance is urgently needed for tracking the long-term impact of the COVID-19 pandemic.

OBJECTIVE

This study aimed to use Google Trends data to investigate the impact of the pandemic on global mental health by analyzing three keywords indicative of mental distress: “insomnia,” “depression,” and “suicide.”

METHODS

We examined increases in search queries for 19 countries. Significant increases were defined as the actual daily search value (from March 20 to April 19, 2020) being higher than the 95% CIs of the forecast from the 3-month baseline via ARIMA (autoregressive integrated moving average) modeling. We examined the correlation between increases in COVID-19–related deaths and the number of days with significant increases in search volumes for insomnia, depression, and suicide across multiple nations.

RESULTS

The countries with the greatest increases in searches for insomnia were Iran, Spain, the United States, and Italy; these countries exhibited a significant increase in insomnia searches on more than 10 of the 31 days observed. The number of COVID-19–related deaths was positively correlated to the number of days with an increase in searches for insomnia in the 19 countries (ρ=0.64, P=.003). By contrast, there was no significant correlation between the number of deaths and increases in searches for depression (ρ=–0.12, P=.63) or suicide (ρ=–0.07, P=.79).

CONCLUSIONS

Our analysis suggests that insomnia could be a part of routine mental health screening during the COVID-19 pandemic.
The Global Infectious Diseases Epidemic Information Monitoring System: Development and Usability Study of an Effective Tool for Travel Health Management in China (Preprint)
Authors: Gu Dayong , He Jianan , Sun Jie , Shi Xin , Ye Ying , Zhang Zishuai , Wang Xiangjun , Su Qun , Yu Wenjin , Yuan Xiaopeng , Dong Ruiling
Published: September 2020

BACKGROUND

Obtaining comprehensive epidemic information for specific global infectious diseases is crucial to travel health. However, different infectious disease information websites may have different purposes, which may lead to misunderstanding by travelers and travel health staff when making accurate epidemic control and management decisions.

OBJECTIVE

The objective of this study was to develop a Global Infectious Diseases Epidemic Information Monitoring System (GIDEIMS) in order to provide comprehensive and timely global epidemic information.

METHODS

Distributed web crawler and cloud agent acceleration technologies were used to automatically collect epidemic information about more than 200 infectious diseases from 26 established epidemic websites and Baidu News. Natural language processing and in-depth learning technologies have been utilized to intelligently process epidemic information collected in 28 languages. Currently, the GIDEIMS presents world epidemic information using a geographical map, including date, disease name, reported cases in different countries, and the epidemic situation in China. In order to make a practical assessment of the GIDEIMS, we compared infectious disease data collected from the GIDEIMS and other websites on July 16, 2019.

RESULTS

Compared with the Global Incident Map and Outbreak News Today, the GIDEIMS provided more comprehensive information on human infectious diseases. The GIDEIMS is currently used in the Health Quarantine Department of Shenzhen Customs District (Shenzhen, China) and was recommended to the Health Quarantine Administrative Department of the General Administration of Customs (China) and travel health–related departments.

CONCLUSIONS

The GIDEIMS is one of the most intelligent tools that contributes to safeguarding the health of travelers, controlling infectious disease epidemics, and effectively managing public health in China.
Understanding Barriers to Novel Data Linkages: Topic Modeling of the Results of the LifeInfo Survey (Preprint)
Authors: Clarke Holly , Clark Stephen , Birkin Mark , Iles-Smith Heather , Glaser Adam , Morris Michelle A
Published: September 2020

BACKGROUND

Novel consumer and lifestyle data, such as those collected by supermarket loyalty cards or mobile phone exercise tracking apps, offer numerous benefits for researchers seeking to understand diet- and exercise-related risk factors for diseases. However, limited research has addressed public attitudes toward linking these data with individual health records for research purposes. Data linkage, combining data from multiple sources, provides the opportunity to enhance preexisting data sets to gain new insights.

OBJECTIVE

The aim of this study is to identify key barriers to data linkage and recommend safeguards and procedures that would encourage individuals to share such data for potential future research.

METHODS

The LifeInfo Survey consulted the public on their attitudes toward sharing consumer and lifestyle data for research purposes. Where barriers to data sharing existed, participants provided unstructured survey responses detailing what would make them more likely to share data for linkage with their health records in the future. The topic modeling technique latent Dirichlet allocation was used to analyze these textual responses to uncover common thematic topics within the texts.

RESULTS

Participants provided responses related to sharing their store loyalty card data (n=2338) and health and fitness app data (n=1531). Key barriers to data sharing identified through topic modeling included data safety and security, personal privacy, requirements of further information, fear of data being accessed by others, problems with data accuracy, not understanding the reason for data linkage, and not using services that produce these data. We provide recommendations for addressing these issues to establish the best practice for future researchers interested in using these data.

CONCLUSIONS

This study formulates a large-scale consultation of public attitudes toward this kind of data linkage, which is an important first step in understanding and addressing barriers to participation in research using novel consumer and lifestyle data.
De-Implementing Opioid Use and Implementing Optimal Pain Management Following Dental Extractions (DIODE): Protocol for a Cluster Randomized Trial (Preprint)
Authors: Rindal D Brad , Asche Stephen E , Gryczynski Jan , Kane Sheryl M , Truitt Anjali R , Shea Tracy L , Ziegenfuss Jeanette Y , Schwartz Robert P , Worley Donald C , Mitchell Shannon G
Published: September 2020

BACKGROUND

Overdose deaths from prescription opioid analgesics are a continuing crisis in the United States. Opioid analgesics are among the most frequently prescribed drugs by dentists. An estimated 5 million people undergo third-molar extractions in the United States each year, resulting in postoperative pain. Studies show that, in most cases, the combination of ibuprofen and acetaminophen is an effective alternative to commonly prescribed opioid analgesics for the management of postextraction pain. Nevertheless, many dentists routinely prescribe opioids after dental extractions.

OBJECTIVE

We describe the rationale, design, and methods for a randomized trial of interventions designed to de-implement opioid prescribing by dentists while implementing effective nonopioid analgesics following dental extractions.

METHODS

Using a prospective, 3-arm, cluster randomized trial design with dentists as the unit randomized and patient-level prescribing data as the primary outcome, we will compare different strategies to reduce the reliance on opioids and increase the use of alternative pain management approaches utilizing information support tools aimed at both providers and their patients. The study will test the efficacy of 2 interventions to decrease opioid prescribing following dental extractions: clinical decision support with (CDS-E) and without patient education (CDS). Providers will be randomized to CDS, CDS-E, or standard practice. Patient-level outcomes will be determined via review of comprehensive electronic health records. We will compare study arms on differential change in prescribing patterns from pre- to postimplementation of the intervention. The primary outcome of interest is a binary indicator of whether or not the patient received an opioid prescription on the day of the extraction encounter. We will also examine recommendations or prescriptions for nonopioid analgesics, patients’ perceptions of shared decision making, and patients’ pain experiences following the extraction.

RESULTS

The HealthPartners Institutional Review Board approved the study. All study materials including the CDS and patient education materials have been developed and pilot tested, and the protocol has been approved by the National Institute of Dental and Craniofacial Research. The intervention was implemented in February 2020, with 51 dentists who were randomized to 1 of the 3 arms.

CONCLUSIONS

If the intervention strategies are shown to be effective, they could be implemented more broadly in dental settings with high levels of opioid prescribing.

CLINICALTRIAL

ClinicalTrials.gov NCT03584789, https://clinicaltrials.gov/ct2/show/NCT03584789

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/24342
Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study (Preprint)
Authors: Li Rui , Niu Yue , Scott Sarah Robbins , Zhou Chu , Lan Lan , Liang Zhigang , Li Jia
Published: September 2020

BACKGROUND

With the proliferation of electronic medical record (EMR) systems, there is an increasing interest in utilizing EMR data for medical research; yet, there is no quantitative research on EMR data utilization for medical research purposes in China.

OBJECTIVE

This study aimed to understand how and to what extent EMR data are utilized for medical research purposes in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 hospital in Beijing, China. Obstacles and issues in the utilization of EMR data were also explored to provide a foundation for the improved utilization of such data.

METHODS

For this descriptive cross-sectional study, cluster sampling from Xuanwu Hospital, one of two Stage 7 hospitals in Beijing, was conducted from 2016 to 2019. The utilization of EMR data was described as the number of requests, the proportion of requesters, and the frequency of requests per capita. Comparisons by year, professional title, and age were conducted by double-sided chi-square tests.

RESULTS

From 2016 to 2019, EMR data utilization was poor, as the proportion of requesters was 5.8% and the frequency was 0.1 times per person per year. The frequency per capita gradually slowed and older senior-level staff more frequently used EMR data compared with younger staff.

CONCLUSIONS

The value of using EMR data for research purposes is not well studied in China. More research is needed to quantify to what extent EMR data are utilized across all hospitals in Beijing and how these systems can enhance future studies. The results of this study also suggest that young doctors may be less exposed or have less reason to access such research methods.
Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology (Preprint)
Authors: English Ned , Anesetti-Rothermel Andrew , Zhao Chang , Latterner Andrew , Benson Adam F , Herman Peter , Emery Sherry , Schneider Jordan , Rose Shyanika W , Patel Minal , Schillo Barbara A
Published: September 2020

BACKGROUND

With a rapidly evolving tobacco retail environment, it is increasingly necessary to understand the point-of-sale (POS) advertising environment as part of tobacco surveillance and control. Advances in machine learning and image processing suggest the ability for more efficient and nuanced data capture than previously available.

OBJECTIVE

The study aims to use machine learning algorithms to discover the presence of tobacco advertising in photographs of tobacco POS advertising and their location in the photograph.

METHODS

We first collected images of the interiors of tobacco retailers in West Virginia and the District of Columbia during 2016 and 2018. The clearest photographs were selected and used to create a training and test data set. We then used a pretrained image classification network model, Inception V3, to discover the presence of tobacco logos and a unified object detection system, You Only Look Once V3, to identify logo locations.

RESULTS

Our model was successful in identifying the presence of advertising within images, with a classification accuracy of over 75% for 8 of the 42 brands. Discovering the location of logos within a given photograph was more challenging because of the relatively small training data set, resulting in a mean average precision score of 0.72 and an intersection over union score of 0.62.

CONCLUSIONS

Our research provides preliminary evidence for a novel methodological approach that tobacco researchers and other public health practitioners can apply in the collection and processing of data for tobacco or other POS surveillance efforts. The resulting surveillance information can inform policy adoption, implementation, and enforcement. Limitations notwithstanding, our analysis shows the promise of using machine learning as part of a suite of tools to understand the tobacco retail environment, make policy recommendations, and design public health interventions at the municipal or other jurisdictional scale.

CLINICALTRIAL
Long-Term Morbidity and Health After Early Menopause Due to Oophorectomy in Women at Increased Risk of Ovarian Cancer: Protocol for a Nationwide Cross-Sectional Study With Prospective Follow-Up (HARMOny Study) (Preprint)
Authors: Terra Lara , Hooning Maartje J , Heemskerk-Gerritsen Bernadette A M , van Beurden Marc , Roeters van Lennep Jeanine E , van Doorn Helena C , de Hullu Joanne A , Mom Constantijne , van Dorst Eleonora B L , Mourits Marian J E , Slangen Brigitte F M , Gaarenstroom Katja N , Zillikens M Carola , Leiner Tim , van der Kolk Lizet , Collee Margriet , Wevers Marijke , Ausems Margreet G E M , van Engelen Klaartje , Berger Lieke PV , van Asperen Christi J , Gomez-Garcia Encarna B , van de Beek Irma , Rookus Matti A , Hauptmann Michael , Bleiker Eveline M , Schagen Sanne B , Aaronson Neil K , Maas Angela H E M , van Leeuwen Flora E
Published: September 2020

BACKGROUND

BRCA1/2 mutation carriers are recommended to undergo risk-reducing salpingo-oophorectomy (RRSO) at 35 to 45 years of age. RRSO substantially decreases ovarian cancer risk, but at the cost of immediate menopause. Knowledge about the potential adverse effects of premenopausal RRSO, such as increased risk of cardiovascular disease, osteoporosis, cognitive dysfunction, and reduced health-related quality of life (HRQoL), is limited.

OBJECTIVE

The aim of this study is to assess the long-term health effects of premenopausal RRSO on cardiovascular disease, bone health, cognitive functioning, urological complaints, sexual functioning, and HRQoL in women with high familial risk of breast or ovarian cancer.

METHODS

We will conduct a multicenter cross-sectional study with prospective follow-up, nested in a nationwide cohort of women at high familial risk of breast or ovarian cancer. A total of 500 women who have undergone RRSO before 45 years of age, with a follow-up period of at least 10 years, will be compared with 250 women (frequency matched on current age) who have not undergone RRSO or who have undergone RRSO at over 55 years of age. Participants will complete an online questionnaire on lifestyle, medical history, cardiovascular risk factors, osteoporosis, cognitive function, urological complaints, and HRQoL. A full cardiovascular assessment and assessment of bone mineral density will be performed. Blood samples will be obtained for marker analysis. Cognitive functioning will be assessed objectively with an online neuropsychological test battery.

RESULTS

This study was approved by the institutional review board in July 2018. In February 2019, we included our first participant. As of November 2020, we had enrolled 364 participants in our study.

CONCLUSIONS

Knowledge from this study will contribute to counseling women with a high familial risk of breast/ovarian cancer about the long-term health effects of premenopausal RRSO. The results can also be used to offer health recommendations after RRSO.

CLINICALTRIAL

ClinicalTrials.gov NCT03835793; https://clinicaltrials.gov/ct2/show/NCT03835793.

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/24414
Translation and validation of the Italian Version of the User Version of the Mobile Application Rating Scale (uMARS): questionnaire validation study (Preprint)
Authors: Morselli Simone , Domnich Alexander , Sebastianelli Arcangelo , Bucchi Chiara , Spatafora Pietro , Liaci Andrea , Gemma Luca , Gravas Stavros , Panatto Donatella , Stoyanov Stoyan , Serni Sergio , Gacci Mauro
Published: September 2020

BACKGROUND

Health sciences are steadily developing apps to help people to have a correct lifestyle and, in case of chronic diseases, to help physicians to follow their patients. However, a proper validated tool to evaluate patients’ perception of apps’ usefulness, graphic and comfort to use it still lacks in many languages. At present time, there is an English validated questionnaire called User Version of the Mobile Application Rating Scale (uMARS).

OBJECTIVE

Aim of the study is to translate and validate uMARS in Italian.

METHODS

uMARS questionnaire have been translated into Italian by an official translator from English. Then, questionnaire has been administrated to 100 smartphone users to evaluate the same App at time 0 and at time 1 (after 2 weeks). Paired t test, Pearson Correlation Coefficient,Intraclass Correlation Coefficient (ICCs) and Cronbach’s Alpha were used to evaluate Italian uMARS reliability and validity.

RESULTS

Subjects were 100, 52 male (52%) and 48 females (48%). Mean age was 22.8 (SD: 3.4). All the enrolled subjects answered to all questions both at time 0 and at time 1. Paired t test showed no statistically significant difference for each answer or answers group between time 0 and 1 (P>0.05). In detail, higher variability was observed for question E20, regarding the subjective evaluation of the app: “What is your overall (star) rating of the app?” T0 mean 3.7 (SD: 0.8) vs T1 mean 3.6 (SD:1.0) p=0.089. The lower variability was observed in the Information Section for question D16 “Credibility of source: does the information within the app seem to come from a credible source? “, T0 mean 3.6 (SD:1.1) T1 mean 3.6 (SD: 1.1) p=1.000. Cronbach’s alpha was 0.945, as all patients answered to all questions. Each question was furtherly assessed through Pearson correlation coefficient, which demonstrated high reliability, with significant P (<0.05) and Pearson Coefficients higher than 0.7. Similarly, ICC, which was always higher than 0.750, confirmed an excellent test-rest reliability.

CONCLUSIONS

Our results allow the validation of uMARS in Italian language and it may become a reliable and useful tool to evaluate health app
Insomnia-related Baidu Index During the COVID-19 Outbreak in China:Infodemiology Study (Preprint)
Authors: Chu Yuying , Wang Xue , Ma Jianing , Dai Hongliang
Published: September 2020

BACKGROUND

Since December 2019, an unexplained pneumonia has broken out in Wuhan, Hubei Province, China. In order to prevent the rapid spread of this disease, quarantine or lockdown measures were taken by Chinese government. These measures turned out to be effective in containing the contagious disease. Quarantine itself, however, would potentially cause certain health risks among the affected population, such as sleep disorder.

OBJECTIVE

The aims of this work were to analyze the volume of insomnia-related search during the COVID-19 outbreak in China, to explore the potential use of the Baidu Index for monitoring social and psychological distress, and to help community health workers provide timely and effective interventions for the public.

METHODS

In the context of the pandemic, we conducted a descriptive analysis of the overall search situation. Spearman's correlation analysis was used to explore the relationship between daily search index values for insomnia-related terms and daily newly confirmed cases. The means of search volume for insomnia-related terms during the COVID-19 quarantine or knockdown period (January 23rd, 2020 to April 8th, 2020) were compared with the those during 2016 to 2019 using a Student's t test. Finally, by analyzing the overall daily mean of insomnia in various provinces, we further evaluated whether there existed regional differences in searching for insomnia during COVID-19 isolation.

RESULTS

During the COVID-19 period, search volume in each category had increased significantly, especially the “treatment” category. A significant positive correlation between daily newly confirmed cases and most of insomnia-related Baidu Index was identified. Compared with the same period in the past 4 years, a significant change in insomnia-related search volume was found with COVID-19 quarantine period. We also found that all provinces suffered from insomnia during the quarantine period, with Guangdong province representing the leading areas for insomnia-related search.

CONCLUSIONS

Quarantine measures have led to an increase in insomnia-related searches during the COVID-19 pandemic. Community medical staff should use big data-based tools to screen for insomnia and mental health problems. Early interventions toward insomnia and associated mental health are also essential for prevention and reduction of the long-term impact of the major traumatic events.
Investigation on emotion and behavior of children aged 1-11 during the pandemic of COVID-19: A Cross-sectional study in Guizhou, China (Preprint)
Authors: Mo Yushi , Luo Yan , Li Hong , Xiao Dewei , Liu Shuqing , Liu Chao
Published: September 2020

BACKGROUND

In face of the sudden epidemic of COVID-19, strict prevention and control measures had been urgently carried out all over China. Because of the long-term home quarantine, all kinds of people were affected by it.

OBJECTIVE

In order to understand the mental health of children during the pandemic of COVID-19, this study investigated the prevalence and characteristics of emotional and behavioral problems of children aged 1-11 in Guizhou.

METHODS

Based on the online survey platform, the survey link was pushed through Wechat in April 2020. Electronic questionnaires were used to investigate children's demographic characteristics, emotional or behavioral problems.

RESULTS

A total of 3505 valid questionnaires were received from 9 prefectures and cities in Guizhou Province. 39.67% of the children in the 1-2-year-old group had emotional problems. 17.63% of the children agd 3-5 years had behavioral or emotional problems. And 23.57% of the children agd 6-11 years havd behavioral problems.

CONCLUSIONS

During the home quarantine period of prevention and control of COVID-19, even young children were adversely affected. The prevalence of emotional and behavioral problems in children was high, which was mainly manifested as anxiety, difficulty in concentration and sleep problems.
Institutionalization of Political Parties on Post New Order Authoritarianism and It’s Implications for Indonesian Democracy
Authors: Muliawan Laode , Sumantri Imam
Published: September 2020

The article is focused on explaining how institutionalization of political parties in Indonesia after the collapse of New Order regimes and how it affects democratization in Indonesia. It is considered important since Soeharto’s regime rose to power, political parties are being forced to limit their ideal function/ In this article, the writers concludes that political parties in Indonesia after the authoritarianism regime, have not been institutionalized and are even far from it if compared to the magnitude level its  current problem. Political parties are trapped on long term internal conflict of interest, drained their energy and still continued until now. Moreover, the depth oligarchies pattern in its management is worsened by personalized figure and the dominance of party’s management from the central, forced us into the conclusion that political party are just the sub-ordinates of elite’s interest. The result, political parties are simply failed to play important role in supporting consolidated democracy, since they are busy and distracted by their own internal problems. That’s why, when will Indonesia rise into transition phase in democracy is still questionable, especially if the question is solely based on institutionalization of political parties.
Development of Mathematics Module Framed In Nuance Of Islam Through Scaffolding Method
Authors: Mulianda Fitri , Diana Nirva , Anggraini Dian
Published: September 2020

The purpose of this research is in order to know the development, appropriateness, attractiveness and effectiveness of product developed in Al-Kautsar Bandar Lampung senior high school and MAN 2 Bandar Lampung. The procedure used is resert and development with research method and the 4-D development initiated by Thiagarajan. The data collection instrument conducted by spreading appropriateness questionnaires to the subject expert, media expert, religion expert, and education practitioner, deployment of appropriateness questionnaires to students in small scale trial and big scale trial and giving pre post test in effectiveness trial using N-Gain calculation. Obtained effectiveness result in the amount of 3,6 from subject expert, 3,5 from media expert, and 3,7 from religion expert, then its average is 3,6. It gets “very decent barometer”. The students’ response showed that the module is very interesting with average 3,47 from both schools with “very decent criteria” on small scale trial and 3,3 with “very decent criteria” on big scale trial. The result of effectiveness trial got 0,77 at SMA Al-Kautsar Bandar Lampung and 0,72 at MAN 2 Bandar Lampung. Based on Gain score range that is , so mathematics module framed in nuance of Islam through scaffolding on aljabar function limit subject is categorized with high classification.
Development Of Module Teaching Materials With Predict - Oberve - Explain (POE) Models Based On Gamification On Triangle Materials
Authors: Nurhaliza Nurhaliza , Maharani Laila , Putra Rizki Wahyu Yunian
Published: September 2020

The learning process is certainly not only limited to the increase in students' knowledge or cognitive abilities, but also includes better behavior and thinking abilities, and no less important is how the learning process makes students able to solve problems faced both in learning in school, as well as in the daily life they experience. The development of ICT technology has had an impact on the development of the games industry, which makes educators more creative in designing their learning processes. Some game designers have studied deeper about psychology or other sciences that study human motivation and behavior. The method in this research is research and development (R&D) with the ADDIE development model. Data collection instruments used were questionnaires given to material experts and media experts to find out the feasibility of the product, and given to students and educators, to find out the attractiveness of the products that have been developed as well as pretest and posttest test instruments. Based on the analysis of data obtained from material experts and media experts, it was stated that the teaching materials developed were feasible to be used, and the analysis of the data obtained from students and educators stated that the teaching materials developed were very interesting. The results of the analysis of the effectiveness of class data applied teaching material obtained and calculated with the formula Effect Size obtained is . E_s calculation results are then interpreted to see the effectiveness criteria, the magnitude of , which is in the range of , based on the category determined by the level of effectiveness of the magnitude of the class  applied to learning using module teaching materials with the Predict - Oberve learning model - Explain (POE) based on gamification on the material of SMP triangles is categorized quite effective with a classification classified as medium.
Error Analysis of High School Students on Linear Program Topics Based on Newman Error Analysis
Authors: Elsa Hanne Ayuningtias , Sudihartinih Eyus
Published: September 2020

This study aims to obtain a description of the errors of high school students on linear program topics by using the Newman Error Analysis. This type of research is a descriptive study with a qualitative approach. This research was conducted by giving a test to participants consisting of a three-word problem on the topic of a linear program then conducting interviews as a data collection technique. Participants in this study were five female students of class XI in one of the senior high schools in Bandung, including four people who were students majoring in Sciences studies and one person who was a student majoring in Social studies. Based on the results of a research according to the Newman Error Analysis, all participants made several types of errors on the topic of a linear program. Errors made by the participants include transformation errors made by three students, the process skill errors made by two students, and writing error answers made by two students.
Revealing the Legal Protection of Patients Social Security Administration Agency of Health in Sanglah and Balimed Hospitals Denpasar
Authors: Kuswardhani RA Tuty , Budiana I Nyoman
Published: September 2020

Social Security Administration Agency of Health has a National National Health Insurance formulary, but in reality patients do not get drugs according to the National Health Insurance National Formulary. Therefore, the aims of this study are to determine the legal protection of patients of the Social Security Administration Agency of Health for the elderly in curative therapy in hospitals according to the national formulary of National Health Insurance at Sanglah Hospital and Balimed Hospital, and to know the responsibilities undertaken by the Social Security Administration Agency of Health in fulfilling its obligations for patients the Agency for the Implementation of the Social Health Insurance of the elderly in curative therapy in accordance with the national formulary of the National Health Insurance. This study uses a participatory observational (empirical-observational) empirical legal research method. Sampling with purposive sampling and data collection techniques using triangulation techniques. In principle, legal protection must refer to legal certainty, fairness and benefits for the population participating in the Social Security Administration Agency of Health for the elderly so that it is not impressed that Balimed Hospital and Sanglah General Hospital and the Social Security Administration Agency of Health make a service to consumers who are not good. The legal responsibility that should be obtained by the participants of the Social Security Administration Agency of Health for the elderly in Balimed Hospital and Sanglah Hospital Denpasar which is currently not maximally received by patients participating in the Social Security Administration Agency of Health for the elderly at Balimed Hospital and Sanglah Hospital.
Suplementación de clorhidrato de zilpaterol en corderos finalizados con dieta sin fibra de forraje
Authors: Vicente Pérez Ricardo , Macías-Cruz Ulises , Andrade Mancillas Ramón , Vicente Rogelio , García Enrique O. , Martínez Ricardo , Avendaño-Reyes Leonel , Montañez Oziel D.
Published: September 2020

Un total de 24 corderos de pelo cruzados se distribuyeron bajo un diseño de bloques completamente al azar en dos tratamientos para evaluar el efecto de suplementar clorhidrato de zilpaterol genérico (CZ; 0 vs 10 mg/d/animal) en una dieta de finalización sin fibra de forraje, sobre comportamiento productivo, características de la canal, rendimiento de cortes primarios y pesos de despojos expresados como un porcentaje del peso al sacrificio. Se realizó una prueba de comportamiento en corral de 30 días y después se sacrificó la mitad de los animales de cada tratamiento (n= 6). La suplementación de CZ no afectó la ganancia de peso, pero sí mejoró (P≤0.02) la eficiencia alimenticia, el peso y rendimiento de canal, y el área del músculo Longissimus dorsi, así como el rendimiento de pierna y lomo completo. Tanto grasa KPH como mesentérica se redujeron (P≤0.05) por efecto de CZ. El resto de los porcentajes de despojos de la canal no fueron afectados por CZ. Se concluye que la suplementación dietaría de CZ genérico mejoró la deposición de masa muscular por reducir la deposición de grasa interna, favoreciendo la eficiencia alimenticia de cordero engordados con dieta sin fibra de forraje.
Venta a granel de embutidos: una tendencia de comercialización asociada al riesgo de enfermedades trasmitidas por alimentos en Culiacán, México
Authors: Jiménez-Edeza Maribel , Castillo-Burgos Maritza , Germán-Báez Lourdes Janeth , Castañeda-Ruelas Gloria Marisol
Published: September 2020

La naturaleza, producción y consumo de los embutidos definen al alimento como vulnerable, a la contaminación con microorganismos patógenos que propicien enfermedades transmitidas por los alimentos. El objetivo del estudio fue evaluar la influencia de la venta a granel de embutidos, sobre la calidad higienica y la prevalencia de L. monocytogenes y Salmonella. Para ello, se recolectaron 96 muestras de embutidos (salchicha y jamón) de 15 marcas nacionales, y se clasificaron equitativamente por tipo de venta; paquete original (n= 48) y granel (n= 48). La detección de coliformes totales, Escherichia coli, Salmonella, y L. monocytogenes se analizó mediante cultivo tradicional. El 42.7 % (41/96) de las muestras de embutidos estuvieron fuera de especificación sanitaria en términos de coliformes totales y E. coli. El análisis estadístico mostró que el tipo de venta es un indicador del riesgo microbiano en embutidos (χ2=40.0, P=0.000), ya que el número de muestras con deficiente calidad higiénica fue mayor para la venta a granel (69.0 %) comparada con las que se venden en paquete (17.0 %). Adicionalmente, el análisis de riesgo mostró que la venta a granel incrementa 41.8 y 5.9 veces el riesgo de adquirir jamón y salchichas de mala calidad microbiológica (P<0.05), respectivamente. Mientras que, el tipo de venta no influenció la presencia de L. monocytogenes (6.3 %) en las muestras. Se recomienda a los consumidores evitar la compra a granel de los embutidos; y los productores y vendedores deben reforzar las buenas prácticas higiénicas que permitirán asegurar la inocuidad, y minimizar el riesgo de infecciones.