bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Factors for Progression to Patients with Severe Stage of COVID-19
Authors: Chang Min Cheol , Park Yoo-Kyung , Kim Bong-Ok , Park Donghwi
Published: May 2020

Background: Coronavirus disease (COVID-19) is rapidly spreading worldwide. Although 10%–20% of patients with COVID-19 have severe symptoms, little is known about the risk factors related to the aggravation of COVID-19 symptoms from asymptomatic or mild to severe disease states. Methods: This retrospective study included 211 patients who were asymptomatic or with mild presentations of COVID-19. We evaluated the differences in in demographic and clinical data between the cured (discharged to home) and transferred (aggravated to severe-stage COVID-19) groups. Results: A multivariate logistic analysis showed that body temperature, chills, initial chest X-ray findings, and the presence of diabetes were significantly associated with predicting the progression to severe stage of COVID-19 (p < 0.05). The odds ratio of transfer in patients with COVID-19 increased by 12.7-fold for abnormal findings such as haziness or consolidation in initial chest X-ray, 6.32-fold for initial symptom of chills, and 64.1-fold for diabetes.Conclusions: Even if patients are asymptomatic or have mild symptoms, clinicians should closely observe patients with COVID-19 presenting with chills, body temperature >37.5°C, findings of pneumonia in chest X-ray, or diabetes.
Assessment of Carotid Body Tumor by Superb Micro-Vascular Imaging in a Preoperative Evaluation
Authors: Gao Luying , Zhang Xiaoyan , Jiang Yuxin , Wang Hongyan , Li Wanying , Zheng Yuehong , Li Jianchu , Zhang Bo
Published: May 2020

Background: Superb micro-vascular imaging (SMI) provided new advances in vascular imaging, resulting in revealing the overall vascularity detection of small or microflow states without the use of contrast media. This study aimed to explore the blood supply andfeeding artery of carotid body tumor (CBT) on SMI for providing more accurate information for surgery.Results: Twenty-six CBT lesions underwent color Doppler flow imaging (CDFI) and SMI, and were confirmed later by pathology. The blood flow patterns and feeding artery of CBTson CDFI and SMI were graded and compared.Compared with the application of CDFI, the pattern of more CBT lesionschanged to a higher Adler category by SMI (P<0.001). Thefeeding artery of two CBT lesions, which fail to show by CDFI, was internal carotid artery(ICA) by SMI and compared with CDFI the feeding artery of three changed from ICA or external carotid artery(ECA) to MIX (both ICA and ECA) by SMI. We classified the feeding artery of CBTs into originating from ICA or others (including ECA and MIX). For all the lesions, threelesions that stemmed from ICA and 23lesions that stemmed from ECAor MIX. CBT lesions stemming from ECA or MIX with Adler II or Adler III blood flow patterns accounted for 30.4% (7/23) or 69.6% (16/23), respectively, while CBT lesions stemming from ICA with Adler I or Adler II blood flow patterns accounted for 66.7% (2/3) or 33.3% (1/3), respectively. Conclusions: SMI is superior to CDFI in detecting vascularity of CBTs, and SMI could better investigate the origin of feeding vessels of CBTs in comparison to CDFI.Compared with those originating from ECA, CBTs from ICA has less vascularity.
Does financial inclusion empower women in emerging countries? A panel data analysis
Authors: Roy Chandan Kumar , Banik Banna , Xiaoling Huang
Published: May 2020

Women empowerment is inevitable and a fundamental goal for inclusive growth and sustainable development. The study aims to analyze the effect of financial inclusion on women empowerment using both fixed-effects and panel generalized methods of moments (GMM) estimation techniques covering a panel dataset of 50 emerging economies from 2005 to 2017. We use accessibility to automated teller machine services, availability of bank branches and accessibility to bank assets as three different measures of financial inclusion and gender inequality index, gender development index and political participation of females as the measure of women empowerment. We find evidence that each measure of financial inclusion is associated with lower gender inequality, higher gender development and more opportunities for political involvement of women respectively. Using different econometric estimation method and a board range of inclusion measures confirms the more robust association between financial inclusion and women empowerment. The study, thus, concludes that financial inclusion plays an important role in the welfare of female and girls which would further assist emerging economies to achieve Sustainable Development Goal 5.
Outcomes in patients with lacrimal gland carcinoma treated with definitive radiotherapy or eye-sparing surgery followed by adjuvant radiotherapy
Authors: Lin Yun-Hsuan , Huang ShihMing , Yap Wing-Keen , Yang Ju-Wen , Yeung Ling , Tsan Din-Li , Chang Joseph Tung-Chieh , Chen Lung-Chien
Published: May 2020

Background The optimal treatment for lacrimal gland cancer remains unclear. Eye-preserving surgery, as opposed to exenteration, followed by adjuvant radiotherapy (RT), has recently been reported to deliver satisfying outcomes, but evidence is sparse. The aim of the present study was to evaluate outcomes in patients with lacrimal gland cancer treated at two tertiary medical centers.Methods We retrospectively examined data from patients with lacrimal gland cancer who had received eye-preserving surgical treatment followed by adjuvant RT with or without chemotherapy, or (if the tumor was inoperable) excision biopsy with definitive RT with or without chemotherapy. Baseline clinical and pathological characteristics were considered. Outcomes of interest included post-treatment complications, overall survival (OS), locoregional progression-free survival (LPFS), and distant metastasis-free survival (DMFS).Results Eighteen patients were included. Two-year OS, LPFS, and DMFS rates were 69.0%, 76.7%, and 71.4%, respectively. Patients with early-stage (T1–T2) lacrimal gland cancer had significantly better outcomes than those with advanced-stage disease (T3–T4). Two-year OS, LPFS, and DMFS rates were each 100% in patients with disease stages T1–T2, and 37.5%, 50%, and 37.5%, respectively, in those with disease stages T3–T4 (P<0.05). Orbital complications were well tolerated.Conclusions Eye-sparing surgery with adjuvant RT can achieve satisfying results in patients with T1–T2 lacrimal gland carcinoma. Disease stage T3 and above was associated with poor outcomes even with post-operative RT, likely due to distant metastasis. Adding neoadjuvant chemotherapy or adjuvant chemotherapy to current treatment strategies might be a suitable choice for this group of patients.
High Performance Logistic Regression for Privacy-Preserving Genome Analysis
Authors: De Cock Martine , Dowsley Rafael , Nascimento Anderson C.A. , Railsback Davis , Shen Jianwei , Todoki Ariel
Published: May 2020

Background: In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns. Training Machine Learning models on the joint data without violating privacy is a major technology challenge that can be addressed by combining techniques from Machine Learning and cryptography. When collaboratively training Machine Learning models with the cryptographic technique named secure Multi-Party Computation, the price paid for keeping the data of the owners private is an increase in computational cost and runtime. A careful choice of Machine Learning techniques, algorithmic and implementation optimizations are a necessity to enable practical secure Machine Learning over distributed data sets. Such optimizations can be tailored to the kind of data and Machine Learning problem at hand. Methods: Our setup involves secure Two-Party Computation protocols, along with a trusted initializer that distributes correlated randomness to the two computing parties. We use a gradient descent based algorithm for training a logistic regression model, and we break down the algorithm into corresponding cryptographic protocols. Our main contributions are a new protocol for computing the activation function that requires neither secure comparison protocols nor Yao's garbled circuits, and a series of cryptographic engineering optimizations to improve the performance. Results: For our largest gene expression data set, we train a model that requires over 7 billion secure multiplications; the training completes in about 26.90 seconds in a local area network. The implementation in this work is a further optimized version of the implementation with which we won first place in Track 4 of the iDASH 2019 secure genome analysis competition. Conclusions: In this paper, we present a secure logistic regression training protocol and its implementation, with a new subprotocol to securely compute the activation function. To the best of our knowledge, we present the fastest existing secure Multi-Party Computation implementation for training logistic regression models on high dimensional genome data distributed across a local area network.
Using Routine Health Information Data for Research in Low- and Middle-Income Countries: A Systematic Review
Authors: Hung Yuen Wai , Hoxha Klesta , Irwin Bridget R. , Law Michael R. , Grépin Karen Ann
Published: May 2020

Background: Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years and the growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications. Methods: Using terms ‘routine health information system’, ‘health information system’, or ‘health management information system’ and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 20 2019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed based on pre-determined eligibility criteria. Identified characteristics were extracted using a piloted data extraction form. Results: We identified 132 studies that met our inclusion criteria in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan African countries and were published in the last five years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored. Conclusions: Our study identified an increasing use of RHIS data in research with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessment of services, and epidemiology in LMICs. RHIS data represent an underused source of data and should be further embraced by the research community to gain insights from LMIC health systems.
Synthesising Existing Forest Inventory Datasets for Estimating Historical Aboveground Biomass Stocks, Growth and Mortality in Logged-over Tropical Dipterocarp Forests of Kalimantan, Indonesia
Authors: Manuri Solichin , Brack Cris , Silva Nurul , Noor'an Fatmi
Published: May 2020

Background: Extensive forest inventory data is available from commercial timber companies. For this study, over 20,000 plots were compiled for North, East and West Kalimantan provinces, with more than 17,000 of these exceeding our quality assurance tests. This study aimed to: (1) explore the potential use of existing permanent sample plots and forest inventory data established and measured by timber concessions; (2) assess uncertainties of aboveground biomass (AGB) estimates using various allometric models; (3) analyse the dynamics of AGB in logged-over dipterocarp forests; (4) analyse AGB stocks and emission factors in tropical dipterocarp ecosystems. Methods: Two types of forest monitoring datasets measured by timber companies in Indonesia were compiled and assessed in this study: permanent sample plots (PSPs) (24 1-ha plots), and the overall periodic timber inventory (OPTI) (17,301 plots). We compared various allometric equations for estimating AGB of the plots and developed a simple AGB equation using basal area (BA) as predictor. We further evaluated the AGB growth and mortality using the PSP plots. Results: We found that the model using only tree diameter (D) as a predictor variable tended to be unbiased when aggregating the estimates at larger plots. We also found that BA per hectare could explain the variation of AGB at plot level (adjusted r2 = 0.911; root mean square error [RMSE]: 27.8). We overlaid the OPTI plot with the land cover map and estimated the mean AGB of the associated land cover classes. The mean AGB of primary dryland forest, secondary dryland forest and bush classes were 281.1 + 4.0 Mg/ha, 231.5 + 1.7 Mg/ha and 179.0 + 5.0 Mg/ha, respectively. Nine years after logging, the mean AGB is still lower than the mean AGB two years after logging. The growth rate (2.5%) was still lower than the mortality rate (3.1%), and recruitment (0.2%) did not occur until seven years after logging. Conclusions: The results of this study suggest that the existing forest monitoring data should be incorporated into the carbon accounting system at district, province and national level to improve the estimation of forest biomass and emission factors related to forest degradation and deforestation. However, there is a need for data quality assessment prior the analysis and a standardised platform for nation-wide forest inventory database is therefore required.
Socioeconomic inequalities in maternal healthcare utilization in Zambia: 1997-2014
Authors: He Zhifei , Bishwajit Ghose , Yaya Sanni , Cheng Zhaohui , Shuyan Guo , Wu Tailai
Published: May 2020

Background Exploring the trends and socioeconomic inequalities in the use of maternal healthcare utilisation between 1997 and 2014. Methods Data were analyzed using descriptive and multivariate regression methods. Results Women in the higher wealth quintiles (Q4 and Q5) generally had higher prevalence of using health facility delivery and postnatal care services compared with those in the lower wealth quintiles (Q1 and Q2), whereas the prevalence of timely and adequate ANC visit was comparatively higher among those in the lower wealth quintiles. Conclusion Findings indicated important sociodemographic inequalities in using maternal healthcare services, addressing which may help promote the utilisation of these services.
COVID-19 pandemic exposes the vulnerability of the sharing economy
Authors: Chen Guangwu , Cheng Mingming , Edwards Deborah , Xu Lixiao
Published: May 2020

The outbreak of COVID-19 pandemic has resulted in a global economic recession but little is known about its impact on the informal economy including peer-to-peer rental market. Against this backdrop, this study assessed the financial loss of Airbnb listings and its hosts in Sydney from January to March 2020. Findings show that the pandemic resulted in 70% income loss for Airbnb hosts with hosts suffering eight times higher than the Airbnb platform itself. However, like other gig workers and freelancers, many Airbnb hosts are not qualified to claim the financial aids from the government in Australia. Our study shows the vulnerability of the sharing economy during a time of crisis. It contributes empirical evidence to the widening public debate on the sustainability and the sharing economy but most importantly, raises concerns over the sharing economy’s contribution to a resilient society and economy.
Competencies for a healthy physically active lifestyle: Second-order analysis and multidimensional scaling
Authors: Carl Johannes , Sudeck Gorden , Pfeifer Klaus
Published: May 2020

The model of physical activity-related health competence (PAHCO) assumes that individuals require movement competence, control competence, and self-regulation competence to lead a healthy, physically active lifestyle. Although previous research has already established some measurement factors (n = 8) of the three dimensions, no attempts have so far been made to statistically aggregate them on the sub-competence level. Therefore, the goal of the present study was to test two additional factors for PAHCO and subsequently model the second-order structure with two samples from the fields of rehabilitation and prevention. We conducted two questionnaire surveys with persons with multiple sclerosis (n = 475) and teaching students undergoing a basic qualification course in physical education (n = 502). After performing exploratory items analysis, we used second-order confirmatory factor analysis (CFA) and multidimensional scaling to investigate whether the scales could be bundled in accordance with the PAHCO model. The CFAs with ten factors (42 items) demonstrated a good model fit. In contrast, the second-order analysis with a simple loading structure on the three sub-competencies revealed an unacceptable model fit. Instead, a second-order model variant was preferred (CFI = 0.926, RMSEA = 0.048, SRMR = 0.065) in which body awareness and self-efficacy had theory-conform cross-loadings. The results of multidimensional scaling (two-dimensional solution) were in line with the extracted second-order structure. The present results suggested that the extension of the measurement instrument to ten first-order factors was psychometrically justified. The results from the second-order analyses provided the basis for the creation of sum scores, representing manifest indicators of movement competence, control competence, and self-regulation competence. Future studies are needed that relate the sub-competencies of PAHCO to indicators of health-enhancing physical activity in relevant target Groups.
The impact of asymptomatic individuals on the strength of public health interventions to prevent the second outbreak of COVID-19
Authors: Wang Xiaochen , Wang Shengfeng , Lan Yueheng , Tao Xiaofeng , Xiao Jinghua
Published: May 2020

The pandemic of coronavirus disease 2019(COVID-19) has threatened the social and economic structure all around the world. Generally, COVID-19 has three possible transmission routes, including pre-symptomatic, symptomatic, and asymptomatic transmission, among which the last one has brought a severe challenge for the containment of the disease. One core scientific question is to understand the influence of asymptomatic individuals and of the strength of control measures on the evolution of the disease, particularly on a second outbreak of the disease. To explore these issues, we proposed a novel compartmental model that takes the infection of asymptomatic individuals into account. We get the relationship between asymptomatic individuals and critical strength of control measures theoretically. Furthermore, we verify the reliability of our model and the accuracy of the theoretical analysis by using the real confirmed cases of COVID-19 contamination. Our results, showing the importance of the asymptomatic population on the control measures, would provide useful theoretical reference to the policymakers and fuel future studies of COVID-19.
Clinical features and outcomes of pregnant women with COVID-19: a systematic review and meta-analysis
Authors: Gao Yi-jie , Ye Lei , Zhang Jia-shuo , Yin Yang-xue , Liu Min , Yu Hong-biao , Zhou Rong
Published: May 2020

Background: COVID-19 outbreak in Wuhan, China recently. It quickly spread throughout worldwide. In this study, we systematically reviewed the clinical features and outcomes of pregnant women with COVID-19.Methods: PubMed、Web of Science、EMBASE、MEDLINE were searched from January 1, 2020 to April 16, 2020. Case review of pregnant women infected with COVID-19 were included. Two reviewers screened 366 literatures and 14 studies included, four reviewers independently extracted the features of the literatures. We used random-effects model to analyze incidence (P) and 95% confidence interval (95%CI). Heterogeneity was assessed using the I2 statistic.Results: The meta- analysis included 236 pregnant women with COVID-19. The results were as follows: positive CT findings (71%; 95%CI, 0.49~0.93), cesarean section (65%; 95%CI, 0.42~0.87), fever (51%; 95%CI, 0.35~0.67), lymphopenia (49%; 95%CI, 0.29~0.70), coexisting disorders (33%; 95%CI, 0.21~0.44), cough (31%; 95%CI, 0.23~0.39), fetal distress (29%; 95%CI, 0.08~0.49), preterm labor (23%; 95%CI, 0.14~0.32), severe case or death (12%; 95%CI, 0.03~0.20). The subgroup analysis showed compared with nonpregnant patients, pregnant women with COVID-19 had significantly lower incidences of fever (pregnant women group, 51%; nonpregnant patients group, 91%; P＜0.00001) and cough (pregnant women group, 31%; nonpregnant patients group, 67%; P＜0.0001). Conclusions: The incidence of fever, cough and positive CT findings in pregnant women with COVID-19 is less than that in the general population, preterm labor is the opposite. There is no evidence that COVID-19 can propagate vertically for the time being.
Coronavirus herd immunity optimizer (CHIO)
Authors: Al-Betar Mohammed Azmi , Alyasseri Zaid Abdi Alkareem , Awadallah Mohammed A. , Doush Iyad Abu
Published: May 2020

In this paper, a new nature-inspired human-based optimization algorithm is proposed which called Coronavirus Herd Immunity Optimizer (CHIO). The inspiration of CHIO is originated from the herd immunity concept as a way to tackle coronavirus pandemic (COVID-19). The speed of spreading coronavirus infection depends on how the infected individuals directly contact with other society members. In order to protect other members of society from the disease social distancing is suggested by health experts. Herd immunity is a state the population reach when most of the population is immune which results in the prevention of disease transmission. These concepts are modeled in terms of optimization concepts. CHIO mimics the herd immunity strategy as well as the social distancing concepts. Three types of individual cases are utilized for herd immunity: susceptible, infected, and immuned. This is to determine how the newly generated solution updates its genes with social distancing strategies. CHIO is evaluated using 23 well-known benchmark functions. Initially, the sensitivity of CHIO to its parameters is studied. Thereafter, the comparative evaluation against seven state-of-the-art methods is conducted. The comparative analysis verifies that CHIO is able to yield very competitive results compared to those obtained by other well-established methods. In conclusion, CHIO is a very powerful optimization algorithm that can be used to tackle many optimization problems across a wide variety of optimization domains.
COVID-19 in Elderly Patient: A Case Report
Authors: Qin Zheng , Wang Xingjian , Wang Wei
Published: May 2020

Background: Coronavirus Disease 2019 (COVID-19) outbroke in Wuhan, China in December 2019 and spread rapidly. Elderly patients with COVID-19 are more likely to develop into severe type, but little related experience has been introduced. Case presentation: An 82-year-old female patient living in Wuhan, China was referred because of fever, dry cough and chest distress for a week. Clinical diagnosis of COVID-19 was considered, confirmed by viral nucleic acid detection. For her poor nutritional status and deteriorated hypoalbuminemia, intact protein enteral nutrition powder was added and albumin was supplemented besides the antiviral therapy. Her fever gradually subsided with the alleviation of related symptoms. During her hospitalization, D-dimer level elevated with ultrasonographically detected thromboembolism in bilateral gastrocnemius veins, and low molecular weight heparin was thereby administrated for the prevention of pulmonary embolism. Conclusions: The experience of this case suggested that the timely screening and intervention of malnutrition and venous thromboembolism are crucial issues to be concerned when treating elderly patients with severe COVID-19 besides the routine antiviral therapy.
Applying Blue Light Alone, or in Combination with Far-red Light, during Nighttime Increases Elongation without Compromising Yield and Quality of Indoor-grown Microgreens
Authors: Ying Qinglu , Kong Yun , Zheng Youbin
Published: May 2020

To facilitate machine harvest for labor savings, the height of microgreens needs to reach ≈5 cm. Recent studies indicate that monochromatic blue light (B) can promote stem elongation similar to far-red light (FR). To examine whether nighttime B treatments can promote plant elongation without compromising yield and quality, mustard (Brassica juncea) and arugula (Eruca sativa) microgreens were grown under different light-emitting diode (LED) lighting regimes in a growth chamber. The 16-hour daytime lighting comprised 20% B and 80% red light (R), and had a total photosynthetic photon flux density (PPFD) of 300 µmol·m–2·s–1 at canopy level. During the 8-hour nighttime, the plants were exposed to the following treatments: 1) dark (D) as one control; 2) 4 hours of B at 40 µmol·m–2·s–1 followed by 4 hours of darkness (40B-D); 3) 4 hours of darkness followed by 4 hours of B at 40 µmol·m–2·s–1 (D-40B); 4) 8 hours of B at 20 µmol·m–2·s–1 (20B); 5) 8 hours of B + FR, and each of them at 20 µmol·m–2·s–1 (20B20FR); and 6) 8 hours of FR at 20 µmol·m–2·s–1 (20FR) as another control. The plants were harvested after 11 days of treatment. Nighttime B treatments (40B-D, D-40B, and 20B), compared with D, increased plant height by 34% and 18% for mustard and arugula, respectively, with no difference among the three B treatments. The combination of B and FR (20B20FR), compared with B alone, further increased plant height by 6% and 15% for mustard and arugula, respectively, and showed a similar promotion effect as 20FR. Plant height did not meet the machine harvest requirement for both species with the D treatment, but did so for mustard with the nighttime B treatments and for arugula with the 20B20FR treatment. There was no difference in biomass among all treatments except that 20B, compared with D, increased the fresh weight (FW) of arugula by 12%, showing a similar promotion effect as 20FR. Despite a greater promotion effect on elongation than B alone, 20FR reduced the leaf index compared with D. However, B alone or the 20B20FR treatment increased leaf thickness compared with D, and increased chlorophyll content index (CCI), leaf index, dry matter content, and leaf thickness to varying degree with species, compared with 20FR. Overall, nighttime B alone, or its combination with FR, promoted microgreen elongation without compromising yield and quality.
George Monteiro (1932-2019)
Authors: Luiz Valente , Onésimo Almeida
Published: May 2020

The Professor Emeritus of English and Portuguese and Brazilian Studies George Monteiro passed away on November 5, 2019 from a heart attack. Born in Valley Falls, Rhode Island, in 1932, he was a graduate of Cumberland High School. He received an AB from Brown in 1954, an AM from Columbia U in 1956, and a PhD from Brown in English and American Literature in 1964. Monteiro spent his whole professional career at Brown.
Narasi Ujaran Kebencian dalam Pemilihan Umum Kepala Daerah (PILKADA)
Authors: Musyafak Najahan , Ulama'i Ahmad Hasan Asy'ari
Published: May 2020

Hate speech on social media has become a theme of discussion in various forms of discourse in society. This paper focuses on expressions of hate speech related to regional political election uploaded through posts from personal and group accounts on the Facebook social media platform from January to July 2018. This study uses content analysis by adopting Soesilo's six hate speech criteria. The results of the study showed that the forms of hate speech on Facebook were expressed in the form of photos, drawings, illustrations, memes, and words that had the connotation of provocation, insults, and incitement. Hate speech comes from personal and group accounts, addressed to individuals, public officials such as presidents, party leaders, and the government.

Ujaran kebencian di media sosial telah menjadi tema pembahasan dalam berbagai bentuk wacana di masyarakat. Tulisan ini fokus pada ekspresi ujaran kebencian yang terkait dengan masalah Pemilihan Kepala Daerah yang diunggah melalui postingan dari akun personal maupun kelompok dalam platform media sosial facebook selama Januari sampai bulan Juli 2018. Studi ini menggunakan analisis isi dengan mengadopsi enam kriteria ujaran kebencian Soesilo. Hasil studi menunjukkan bahwa bentuk ujaran kebencian di facebook diungkapkan dalam bentuk foto, gambar, ilustrasi, meme, dan kata-kata yang memiliki konotasi provokasi, penghinaan, dan hasutan. Ujaran kebencian bersumber dari akun pribadi dan kelompok, ditujukan kepada individu, pejabat publik seperti presiden, ketua partai, dan pemerintah.
Aplikasi Wireless Sensor Network untuk Sistem Monitoring dan Klasifikasi Kualitas Udara
Authors: Arya Tri Fidrian , Faiqurahman Mahar , Azhar Yufis
Published: May 2020

Indonesia merupakan salah satu negara yang bergerak di sektor industri, hal tersebut memungkinkan lingkungan hidup termasuk kualitas udara. Polusi udara yang dikeluarkan dari cerobong asap kawasan industri tidak dapat dilakukan dengan baik maka akan berdampak buruk pada kesehatan manusia. Pemantauan kualitas udara yang digunakan saat ini yaitu hanya terdapat satu alat saja yang digunakan untuk melakukan monitoring terhadap suatu cakupan lokasi tertentu, sehingga akan kurang sesuai untuk menggambarkan kondisi kualitas udara yang ada pada suatu cakupan lokasi tersebut. Sementara untuk instalasi lebih dari satu alat akan membutuhkan biaya yang besar. Pada penelitian ini diaplikasikan konsep wireless sensor network (WSN) untuk pemantauan kualitas udara dengan pemasangan node sensor lebih dari satu perangkat pada lokasi tertentu dan terdapat satu sink yang bertindak untuk mengumpulkan data dari node sensor dan mengirimkannya ke server. Data kualitas udara yang didapatkan oleh node sensor kemudian diklasifikasikan menggunakan metode klasifikasi pada data mining yaitu k-nearest neighbor (K-NN). Sebelum dilakukan klasifikasi menggunakan K-NN, dilakukan normalisasi data untuk penyamaan skala datanya, didapatkan normalisasi decimal scaling yang memiliki performansi yang baik untuk data kualitas udara. Nilai k yang digunakan untuk klasifikasi K-NN yaitu 5. Didapatkan tingkat akurasi yang dihasilkan oleh sistem sebesar 94,28%, presisi sebesar 85,16% dan recall sebesar 93,35%.
ASSESSMENT OF BUSINESS PROCESS MANAGEMENT FOR MSMEs IN EAST JAVA
Authors: Chotijah Umi
Published: May 2020

The role of micro, small and medium enterprises (MSME) for the economy of many countries, especially Indonesia are very important. The garment industry is one of the developing industries in Indonesia. Enterprises need to understanding, documenting, modelling, analyzing, simulating, implementing to  increasing the value and achieving business operational efficiency and survive business competition. Therefore, it is necessary to know  assess the maturity level of business process management in MSMEs. The purpose of this study is to assess the maturity level of business process management  from MSMEs. First, the relevant literature is reviewed to gain insight into the practice of business process management  in general, the context of MSME in Indonesia and previous studies related to business process management  in the context of MSMEs. This research was conducted in East Java and data collection was done by distributing questionnaires to MSME owners. This study shows that a lack of knowledge resources about BPM is the main factor causes the MSMEs have low business process maturity level.
MASTER DATA MANAGEMENT IMPLEMENTATION IN DISTRIBUTED INFORMATION SYSTEM CASE STUDY DIRECTORATE GENERAL OF TAX, MINISTRY OF FINANCE OF REPUBLIC OF INDONESIA
Authors: Santoso Aris Budi , Pamungkas Yoga , Ruldeviyani Yova
Published: May 2020

Information system architecture of Directorate General of Tax (DGT) is centralized with distributed data. The main problem are replication of master and reference data which spread among applications which vary on data structure and the synchronization jobs that spread in many locations and not well managed. Therefore, Master Data Management (MDM) needs to be implemented with accordance to characteristic of centralized distributed information system. Master data management maturity evaluation is conducted using MDM maturity model (MD3M) Spruit dan Pietzka, the result is Data Protection, Data Quality and Maintenance topic have maturity level 3 or defined process stage, while Data Model, Usage and Ownership topic have maturity level 2 or repeatable stage. Solutions to solve MDM issues and to enhance the master data management maturity level are proposed based on Data Management Body of Knowledge (DMBOK). DGT’s MDM issues are related to insufficiency of policy and architecture of MDM system. Policy and architectural approach of centralized MDM system is required to solve that issues. Proposed solution involves the use of data virtualization to enable implementation of centralized system of MDM without consolidate all master and reference data into new database.
TAM Analysis on The Factors Affecting Admission of Students for Ruangguru Application
Authors: Hasanah Riyan Latifahul , Wati Fanny Fatma , Riana Dwiza
Published: May 2020

A new paradigm emerged in the field of education along with the development of increasingly advanced technology, namely the emergence of an electronic learning system known as e-learning. One of the e-learning media that is currently popular in Indonesia is Ruangguru online learning application that can be accessed through smartphone. The purpose of this study is to analyze the factors that influence student’s acceptance of Ruangguru application using Technology Acceptance Model (TAM) method. The 5 (five) constructs of the TAM research model were used, namely Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, Actual System Use, and Behavioral Intention of Use. The data collection used is an online questionnaire with purposive sampling technique. The results show that Attitude Towards Using did not have a significant effect on Behavioral Intention of Use, meaning that the students’ attitude towards using of did not affect students' intentions in using Ruangguru application. At the same time, the relationship of Perceived Ease of Use to Perceived Usefulness is the most significant influence where the ease in using Ruangguru application makes users feel that Ruangguru application is useful.
The Effects of Perceived Justice and Emotions on Service Recovery Satisfaction on Indonesian Ecommerce Customers
Authors: Azzahro Fatimah , Handayani Putu Wuri , Murti Sandya Sekar , Yudhoatmojo Satrio Baskoro
Published: May 2020

This study aims to analyze the effects of justice theory and emotions on service recovery satisfaction of Indonesian e-commerce customers. The factors used in this study are distributive justice, procedural justice, interactional justice, as cognitive aspect. Positive emotions and negative emotions are the factors used as affective aspect. This study used quantitative approach in the form of online survey. The total amount of data used in this study are 601 data. The respondents are Indonesian B2C or C2C e-commerce customer who filed a complaint directly to the B2C or C2C e-commerce at least once and receives a response at least once. Covariance-based structural equation modelling is used to analyze the data. The analysis results show that distributive justice, procedural justice, interactional justice, and positive emotions affect service recovery satisfaction. The results of this study can help Indonesian B2C & C2C e-commerce to understand service recovery from the perspective of customers, so satisfactory service recovery can be implemented.
Novel Insights on the Role of the Human Sperm Proteome
Authors: Cannarella Rossella , Condorelli Rosita A. , Calogero Aldo E. , La Vignera Sandro
Published: May 2020

The spermatozoon has classically been seen only as a paternal DNA transporter into the oocyte, thus underestimating the entire contribution of the male gamete to the embryo development. The advancement of the research supports that not only the sperm genome, but the entire sperm transcriptome and proteome carry crucial information for fertilization and embryo development.

Altogether, 6871 proteins have been reported in spermatozoa so far. Their functional analysis has recently addressed to the sperm proteome a role in fertilization, preimplantation embryo development and paternal epigenetic inheritance. Targeted analysis of human spermatozoa is warranted to compile an evidence-based list of sperm-carried molecular targets in infertile patients.
Osteocalcin: A Protein Hormone Connecting Metabolism, Bone and Testis Function
Authors: De Toni Luca , Jawich Kenda , De Rocco Ponce Maurizio , Di Nisio Andrea , Foresta Carlo
Published: May 2020

During the last decade, the disclosure of systemic effects of osteocalcin (OCN) in its undercarboxylated
form contributed to switch the concept of bone from a merely structural apparatus
to a fully endocrine organ involved in the regulation of systemic functions. Since that time, the role
of OCN as osteokine has been more and more widened appreciated and detailed by the major use
of animal models, starting from the original function in the bone extracellular matrix as Gla-protein
and spanning from the protective effects towards weight gain, insulin sensitivity and glucose homeostasis,
to the anabolic and metabolic roles in skeletal muscle, to the stimulating effects on the
testis endocrine function and male fertility, to the most recent preservation from anxious and depressive
states through a direct activity on the central nervous system. In this review, experimental
data supporting the inter-organ communication roles of this protein are discussed, together with the
available data supporting the consistency between experimental data obtained in animals and those
reported in humans. In addition, a specific session has been devoted to the possible significance the
OCN as a template agonist on its receptor GPRC6A, for the development of novel therapeutic and
pharmacological approaches for the treatment of dismetabolic states and male infertility.
ABO-Incompatible Liver Transplantation: State of Art and Future Perspectives
Authors: Cheng Chih-Hsien , Lee Chen-Fang , Wang Yu-Chao , Wu Tsung-Han , Wu Ting-Jung , Chou Hong-Shiue , Chan Kun-Ming , Lee Wei-Chen
Published: May 2020

ABO-incompatible (ABO-I) liver transplantation (LT) has been limited due to the increased rate of
complications, including severe cellular and antibody-mediated rejection, hepatic necrosis, hepatic artery thrombosis,
and biliary complications. However, several strategies for reducing preformed anti-donor ABO antibodies
and B cell desensitization have improved the outcomes of ABO-I LT. As a result, ABO-I LT has become a routine
procedure and is a feasible option in countries with a scarce deceased-organ donation or in cases without an
available compatible organ donor. In this review, we describe past and present desensitizing protocols as well as
emergent therapies for depleting B cell and anti-ABO antibodies with the objective of identifying approaches that
could lead to new, refined strategies for maximizing the results of ABO-I LT.
Evaluation of Changes in the Expression Profile of mRNA and Proteinencoding Adiponectin in Ishikawa Cell Line under the Influence of Cisplatin – Preliminary Report
Authors: Kiełabsiński Robert , Kieszkowski Przemysław , Grabarek Beniamin O. , Boroń Dariusz
Published: May 2020

Background:

A reduced concentration of adiponectin is considered as an independent factor
of the risk of inducing endometrial cancer. Cisplatin is a drug used in the therapy of this type of neoplasm.
However, knowledge of the effects of cisplatin on the adiponectin level is still limited.

Objective:

he purpose of this study was to assess the impact of cisplatin depending on the concentration
and time of exposition of the cells to the drug on the adiponectin level in the endometrial cancer
cell line.

Methods:

: Cells of endometrial cancer cell line Ishikawa were exposed for 12,24 and 48 hour periods to
cisplatin with the following concentrations: 2.5μM, 5μM, 10μM. The changes in the expression profile
of adiponectin were compared to the RtqPCR reaction and ELISA test. The STATISTICA 13.0 PL
program was used for statistical analysis (p<0.05).

Results:

: In the culture without the drug, the concentration of adiponectin was statistically lower than in
the cell culture incubated with the drug. Changes on the mRNA level seem to be more specific than on
the protein level, although in both cases, the same trend in the expression changes was noted.

Discussion:

The longer the time of exposition of the cells to the drug, the expression of mRNA, and
the adiponectin protein increased. Changes in the expression profile were characterized statistically
(p<0.05).

Conclusion:

Cisplatin, in a noticeable way, changes the expression profile of adiponectin. Molecular
analysis indicated that in the case of endometrial cancer therapy should be implemented with a concentration
of no less than 5 μM.
Physical Activity and Body Mass Index in Relation to Infertility in Women
Authors: Kaneda Chieko , Kanejima Yuji , Kitamura Masahiro , Izawa Kazuhiro P.
Published: May 2020

Background:

Infertility is a global social issue, and reproductive health is a priority in
global health. This review aimed to study the relation between physical activity (PA) and infertility
in non-obese or non-overweight women.

Methods:

We used search strategies in the National Library of Medicine database including the
PubMed database to October 2019 to find articles related to women and fertility, infertility, exercise,
PA, pregnancy rate, live births, fecundability, and conception. Only cohort studies or randomized
controlled trials in English were chosen for review that included outcomes directly related
to becoming pregnant. We selected studies in which the participants were categorized by low or
high body mass index (BMI).

Results:

We found 6 papers meeting our criteria. In the association between PA and outcome, vigorous
PA in women with low BMI resulted in both positive and negative effects that were weaker
than those in women with high BMI. Among women with low BMI, moderate PA was weakly but
positively associated with outcome whereas walking was not.

Conclusion:

We observed some trends and a slight difference between the outcomes of women
with low versus high BMI. There are only a few studies on infertile women with low BMI, and further
investigation is warranted.
Antidyslipidemic and Antioxidant Activities of Matricaria pubescens (Desf.) Shultz. in Streptozotocin-Induced Diabetic Rats
Authors: Amssayef Ayoub , Azzaoui Bouchra El , Ajebli Mohammed , Eddouks Mohamed
Published: May 2020

Aims:

The study aimed to evaluate the antihyperlipidemic and antioxidant activities of Matricaria pubescens.

Background:

Matricaria pubescens (Desf.) Shultz belongs to Asteraceae family and it is commonly used traditionally for handling diabetes mellitus.

Objective:

The objective of this study was to assess the antioxidant activity of Matricaria pubescens (Desf.) Shultz and its effect on lipid and lipoprotein profile in normal and streptozotocin-induced diabetic rats.

Methods:

The effect of repeated (7 days of treatment) oral administration of the aqueous extracts of aerial part of Matricaria pubescens (MPAE) at a dose of 40 mg/kg on lipid and lipoprotein profile was examined in normal and streptozotocin-induced diabetic rats. Furthermore, a preliminary phytochemical screening and the quantification of phenolic, flavonoid and tannin contents as well as the antioxidant activity using two methods (FRAP and ABTS) were carried out.

Results:

MPAE demonstrated a potent antidyslipidemic effect in diabetic rats by reducing serum levels of triglycerides, total cholesterol and Low-Density Lipoprotein (LDL). In addition, the results showed that the extract is rich in several phytochemical compounds and revealed an important antioxidant activity.

Conclusion:

In summary, this study proved that Matricaria pubescens (Desf.) Shultz. has a favorable effect on diabetic dyslipidemia.
MicroRNAs in Colon and Rectal Cancer - Novel Biomarkers from Diagnosis to Therapy
Authors: Yang Ying , Meng Wen-Jian , Wang Zi-Qiang
Published: May 2020

Colorectal cancer (CRC) is one of the most common cancers and a significant cause of tumor-
related deaths worldwide. Traditional biomarkers, such as CEA and CA199, are not sensitive
enough to provide useful information for early diagnosis and treatment and are rather used to track the
clinical progression of the disease. There is growing evidence that microRNAs (miRNA) are potentially
superior to traditional biomarkers as promising non-invasive biomarkers for the timely diagnosis
and prediction of prognosis or treatment response in the management of CRC. In this review, the latest
studies on the dysregulation of miRNAs expression in CRC and the potential for miRNAs to serve as
biomarkers were collected. Given the limitations of miRNA, as discussed in this paper, its clinical
applications as a diagnostic biomarker should be limited to use in combination with other biomarkers.
Further research is necessary to elucidate the clinical applications of miRNA in therapy for CRC.