bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PENGARUH LUAS PANEN DAN PRODUKTIVITAS UBI KAYU DI KABUPATEN KEBUMEN DENGAN MENGGUNAKAN REGRESI LINIER BERGANDA
Authors: Muslimah Umi , Sugandha Agus
Published: December 2021

Cassava  are one of the staple foods in place of rice. However, today almost no one consumes cassava  as a staple food substitute for rice. Indonesia is ranked third as the world's largest producer of cassava. Therefore, to maintain the value of yam production, the author will look for linear regression models as well as the best models with factors that are harvest area and productivity. Productivity is defined as the result of a comparison between the area of harvest and production. To search for regression models use multiple linear regression methods, while the best models use stepwise methods. Based on existing data, the best model is obtained with negative interception and influenced by productivity and the extent of the yam harvest.
Status quo država
Authors: Popović Petar
Published: December 2021

Posljednjih je godina teorijska literatura o međunarodnim odnosima znatno napredovala u proširivanju i preciziranju tipologije revizionističkih država – država koje teže preraspodjeli moći u međunarodnom sistemu i/ili promjeni normativnog poretka. Istovremeno je malo pozornosti posvećeno pojmu status quo države, kojim se označava država koja teži zadržavanju moći i očuvanju postojećeg stanja. Status quo država uglavnom se svodi na status quo predrasudu koja se odnosi na države koje imaju averziju prema riskiranju u vanjskopolitičkim odlukama i ne sudjeluju aktivno u oblikovanju međunarodne politike ili pak na države koje nastoje egzistencijalno preživjeti u anarhičnom sustavu. Literatura pritom previđa ono bitno u opreci kategorija: sukob revizionističke i status quo države. Naime, otvoreno suparništvo s revizionističkom državom i agresivno pružanje otpora promjeni redovito se označava kao još jedan vid revizionizma. U ovom se radu pokazuje da kategorija status quo države nije slučajno u "mrtvom kutu" teorije međunarodnih odnosa. Razlog je tomu što uvjet njezine mogućnosti – konsenzualni međunarodnopravni poredak – u suvremenim okolnostima nije prisutan. Povijesno iskustvo pokazuje da u određenim, veoma rijetkim uvjetima konsenzualnoga međunarodnopravnog poretka države s agresivnim motivima i nerijetko ofenzivnim sredstvima mogu biti status quo države. Pokazat će se da su u moderno doba samo dva razmjerno kratkotrajna međunarodna poretka činila status quo državu mogućom: europski vestfalski sustav ravnoteže snaga u 18. stoljeću i hladnoratovski detant u drugoj polovici 20. stoljeća.
Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil
Authors:   University of Dundee, Oliynyk Kateryna , Ciantia Matteo ,   University of Dundee
Published: December 2021

In this paper an isotropic hardening elastoplastic constitutive model for structured soils is applied to the simulation of a standard CPTu test in a saturated soft structured clay. To allow for the extreme deformations experienced by the soil during the penetration process, the model is formulated in a fully geometric non-linear setting, based on: i) the multiplicative decomposition of the deformation gradient into an elastic and a plastic part; and, ii) on the existence of a free energy function to define the elastic behaviour of the soil. The model is equipped with two bonding-related internal variables which provide a macroscopic description of the effects of clay structure. Suitable hardening laws are employed to describe the structure degradation associated to plastic deformations. The strain-softening associated to bond degradation usually leads to strain localization and consequent formation of shear bands, whose thickness is dependent on the characteristics of the microstructure (e.g, the average grain size). Standard local constitutive models are incapable of correctly capturing this phenomenon due to the lack of an internal length scale. To overcome this limitation, the model is framed using a non-local approach by adopting volume averaged values for the internal state variables. The size of the neighbourhood over which the averaging is performed (characteristic length) is a material constant related to the microstructure which controls the shear band thickness. This extension of the model has proven effective in regularizing the pathological mesh dependence of classical finite element solutions in the post-localization regime. The results of numerical simulations, conducted for different soil permeabilities and bond strengths, show that the model captures the development of plastic deformations induced by the advancement of the cone tip; the destructuration of the clay associated with such plastic deformations; the space and time evolution of pore water pressure as the cone tip advances. The possibility of modelling the CPTu tests in a rational and computationally efficient way opens a promising new perspective for their interpretation in geotechnical site investigations.
On the efficiency of coupled discrete-continuum modelling analyses of cemented materials
Authors:   University of Dundee, Zheng Jinhui , Ciantia Matteo ,   University of Dundee, Knappett Jonathan ,   University of Dundee
Published: December 2021

Computational load of discrete element modelling (DEM) simulations is known to increase with the number of particles. To improve the computational efficiency hybrid methods using continuous elements in the far-field, have been developed to decrease the number of discrete particles required for the model. In the present work, the performance of using such coupling methods is investigated. In particular, the coupled wall method, known as the “wall-zone” method when coupling DEM and the continuum Finite Differences Method (FDM) using the Itasca commercial codes PFC and FLAC respectively, is here analysed. To determine the accuracy and the efficiency of such a coupling approach, 3-point bending tests of cemented materials are simulated numerically. To validate the coupling accuracy first the elastic response of the beam is considered. The advantage of employing such a coupling method is then investigated by loading the beam until failure. Finally, comparing the results between DEM, DEM-FDM coupled and FDM models, the advantages and disadvantages of each method are outlined.
The determination of the supernovae parameters from their light curves using the machine learning
Authors: Urvachev Egor Mikhailovich
Published: December 2021

The paper discusses the application of the machine learning library, CatBoost, to determine the masses of radioactive isotopes from the supernova light curve at a later epochs. The synthetic light curve model used for the demonstration is based on the contribution of the five major radioactive decay chains starting with 56Ni, 57Ni, 44Ti, 22Na, 60Co. Separately, we considered sets of random light curves calculated for different isotope masses of both the three dominant chains (56Ni, 57Ni, 44Ti) and all five. It is shown that the masses of dominant isotopes are determined with acceptable accuracy in both cases, even with the standard settings of the machine learning algorithm. In the second case, the accuracy of determining the masses of the other two isotopes (22Na, 60Co) turns out to be unsatisfactory, probably due to their weak contribution to the total light curve.
Regional Disparity in Adult Obesity Prevalence, and Its Determinants
Authors: Kim Bongjeong
Published: December 2021

Objectives: The purpose of this study was to examine the factors affecting regional disparities in the prevalence of adult obesity.Methods: This study is an ecological study in which the unit of analysis were 229 local authorities (si = 78, gun = 82, and gu = 68). The data were obtained from database (ver 1.1) of community health outcomes and health determinants (2015-2017) and Community Health Survey data (2018-2019). Multiple regression analysis was used to identify factors related to the prevalence of obesity in 4 groups (all regions, si, gun, and gu).Results: The prevalence of regional obesity varied 23.5% to 45.15% with a mean of 34.13%. Obesity prevalence was highest in ‘gun’, and lowest in ‘gu’ area. In the overall model, sociodemographic characteristics including sex ratio (β= 0.26), household income over 3 million won (β= -0.23), and the unemployment (β= -0.18)), high-risk drinking (β= 0.18), and satisfaction with public transportation (β= -0.24) were associated with the prevalence of regional obesity. Other than those things, in ‘si’ area, population density, walking practice, in ‘gun’ area, participation in social activity were associated with the prevalence of regional obesity.Conclusions: To reduce obesity prevalence and it’s regional disparities, it is important to make intervention and prevention efforts taking into account the socioeconomic and physical environmental characteristics of the region as well as health behaviors.
Desain Advokasi Pembiayaan Bermasalah Pada Baitul Maal Wa Tamwil
Authors: Supriyadi Supriyadi , Hana Kharis Fadlullah
Published: December 2021

This study aims to determine the appropriate problem-solving model of financing. The research method used is socio-legal research. Researchers follow the activities of BMT practitioners and accommodate input from problems that occur. The object of this research is KSPPS Fastabiq Khoiru Ummah in the Kudus district. The study results show that in handling non-performing financing, preventive measures, monitoring, and handling are needed. This is related to the sustainability of KSPPS because the main objective is to channel the right financing and minimize non-performing financing. The recommendation of this research is to use a third party as an intermediary for the settlement. The closeness of employees with initially not problematic members makes members less responsive when resolved by the KSPPS. A third party in a legal aid institution is needed if the financing is difficult to resolve.
Factors Affecting Company Values in the Companies Listed in the Jakarta Islamic Index
Authors: Himmati Risdiana , Nabila Rifda , Maslinda Lisza May
Published: December 2021

The rapid development of the global economy has triggered competition between economic actors, especially between companies; therefore, it is necessary to do the company value analysis to attract investors. The purpose of this study was to determine the factors that affect firm value. This study used a quantitative approach, with a sample of 3 companies. The data processing used Error Correction Model analysis. The study results partially showed that the relationship between the company value in the short and long term with the company size had a negative and insignificant effect; the company growth had a positive and insignificant effect. In the short term, the funding decisions had a negative and insignificant effect; the profitability had a positive and insignificant effect; the investment decisions had a positive and insignificant effect. In the long term, the funding decisions had a positive and significant effect, the profitability had a negative and insignificant effect, and the investment decisions had a positive and significant effect. Simultaneously the independent variable affects the firm value. These findings have implications for adding to the literature on the factors that influence company values and are valuable for executives in companies, especially in implementing policies to increase company value.
DYNAMICS IN ABORTIONS AMONG MINORS IN THE RUSSIAN FEDERATION IN 2015-2019
Authors:   Federal Research Institute for Health Organization and Informatics of the Ministry of Health of the Russian Federation, Moscow, Armashevskaya O.V. , Sokolovskaya T.A. ,   Federal Research Institute for Health Organization and Informatics of the Ministry of Health of the Russian Federation, Moscow
Published: December 2021

Significance. Analysis of literary sources indicates the need and importance of preventive work among minors on adherence to healthy lifestyle, which is one of the fundamental factors for preventing pregnancy in children under 18. This work has a number of features and involves cooperation between many specialists, while organization of this work in healthcare facilities is rather tricky due to legislation and requires appropriate competencies of the doctor and challenges his or her professional performance. Preventing pregnancies in minors requires special competencies and skills to work with minors and their families and is a criterion for care organization in the subject of the Russian Federation. The purpose of the study is to analyze dynamics in abortions among minors in the Russian Federation in 2015-2019. Material and methods. The analysis included data from literature sources (n=101 for the last 5 years, including 13 sources included in the reference list). The study analyzed statistical indicators for 2015-2019 from collections of the Department of Health Monitoring, Analysis and Strategic Development of the Ministry of Health of the Russian Federation and "Basic indicators of maternal and child health, performance of Mother and Child services in the Russian Federation of the Federal Research Institute for Health Organization and Informatics of the Ministry of Health of the Russian Federation. The growth/decline rates of indicators were calculated. Results. Analysis of the dynamics in abortions among minors in 2015-2019 showed that the lowest rates were registered in the North Caucasus and Southern Federal Districts, while the highest ones - in the Far Eastern, Siberian and Northwestern Federal Districts. The Sakhalin, Magadan and Amur regions lead in high rates of abortions among minors. Conclusion. Prevention of abortions in minors calls for a comprehensive doctor’s work aimed at preventing pregnancy and an integrated approach in medical organizations. Therefore, the abortion rate in minors should be considered as a criterion for organizing preventive work in healthcare facilities when providing medical care in outpatient settings.
Association of Voluntary Legal Paternity and Breastfeeding Duration and Exclusivity in a Sample of Mothers in NewYork State, United States
Authors: Alio Amina , Liu Linxi , Thevenet-Morrison Kelly , Rubado Michelle , Crean Hugh , Veazie Peter , Seplaki Christopher , Dozier Ann
Published: December 2021

Background and Objective: Globally, father engagement is deemed an important factor in mothers’ breastfeeding practices. In the U.S., the role of the father in breastfeeding is understudied. This study examines the association between voluntary legal paternity and maternal breastfeeding outcomes.
Methods: Using data from a modified Pregnancy Risk Assessment Monitoring System survey (Monroe County, NY, 2015-2017) linked to New York State’s birth certificate data, we assessed breastfeeding outcomes (exclusivity and duration) by voluntary legal paternity (VLP) establishment. We examined breastfeeding duration (breastfeeding cessation at 13 weeks or less) and exclusive breastfeeding (at 13 weeks) among mothers whose infants had VLP (i.e., married, acknowledgment at birth), and those who had no-VLP (i.e., a court-mandated Paternity Affidavit or no legal paternity established). Univariate analyses were conducted, with additional variables (parental demographics, maternal social and clinical) included subsequently. The backward elimination method was used to determine the set of covariates to adjust in the model.
Results: Of the 1,753 mothers initiating breastfeeding, 1,364 had VLP and 389 had no-VLP established. Mothers of infants with a no-VLP were more likely to be Black (29.49%), Hispanic (17.74%), have lower income (80.21%), have lower-education levels (44.73%) and were more likely to be <30 years old (61.7%), and had higher levels (14.4%) of reported traumatic stress before and during the most recent pregnancy. Among mothers initiating breastfeeding, those with no-VLP had a higher risk of breastfeeding cessation at 13 weeks (OR: 2.06; 95% CI, 1.25-3.42) after adjusting for maternal resilience, social support, hospital breastfeeding support, pre-pregnancy BMI, paternal age, and paternal education; and higher risk of breastfeeding cessation at 13 weeks (OR:1.46; 1.01-2.09).
Conclusion and Implications for Translation: Voluntary legal establishment of paternity is associated with maternal breastfeeding outcomes. Screening of mothers may include legal paternity status as a further indication of the need for additional breastfeeding support, especially among socio-economically disadvantaged populations.
 
Copyright © 2021 Alio et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.
Molecular Mimicry of Pathogenicity of Neisseria
Authors: Sarkar Indrani , Dey Prateek , Rathore Saurabh Singh , Singh Gyan Dev , Singh Ram Pratap
Published: December 2021

Neisseria, a genus from beta-proteobacteria class, is of potent clinical importance. This genus contains both pathogenic and commensal strains. Gonorrhea and meningitis are two major diseases caused by pathogens belonging to this genus. With increased use of antimicrobial agents against these pathogens they have evolved the antimicrobial resistance (AMR) capacity making these diseases nearly untreatable. The set of anti-bacterial resistance genes (resistome) and genes associated with signal processing (secretomes) are crucial for the host-microbial interaction. With the virtue of whole genome sequences and computational biology it is now possible to study the genomic and proteomic riddles of Neisseria along with their comprehensive evolutionary and metabolic profiling. We have studied relative synonymous codon usage, amino acid usage, reverse ecology, comparative genomics, evolutionary analysis and pathogen-host (Neisseria-human) interaction through bioinformatics analysis. Our analysis revealed the co-evolution of Neisseria genomes with the human host. Moreover, co-occurrence of Neisseria and humans has been supported through reverse ecology analysis. A differential pattern of evolutionary rate of resistomes and secretomes was evident among the pathogenic and commensal strains. Comparative genomics supported the presence of virulent genes in both pathogenic and commensal strains of select genus. Our analysis also indicated a transition from commensal to pathogenic Neisseria strains through the long run of evolution.
Analysis on Signal-in-Space Range Error and Positioning Accuracy of BDS-3
Authors: Liu Weiping , Jiao Bo , Hao Jinming , Lv Zhiwei , Xie Jiantao , Liu Jing
Published: December 2021

Being the first mixed-constellation global navigation system, the global BeiDou navigation system (BDS-3) designs new signals, the service performance of which has attracted extensive attention. In the present study, the Signal-in-space range error (SISRE) computation method for different types of navigation satellites was presented. And the differential code bias (DCB) correction method for BDS-3 new signals was deduced. Based on these, analysis and evaluation were done by adopting the actual measured data after the official launching of BDS-3. The results showed that BDS-3 performed better than the regional navigation satellite system (BDS-2) in terms of SISRE. Specifically, the SISRE of the BDS-3 medium earth orbit (MEO) satellites reached 0.52 m, slightly inferior compared to 0.4 m from Galileo, marginally better than 0.57 m from GPS, and significantly better than 2.33 m from GLONASS. And the BDS-3 inclined geostationary orbit (IGSO) satellites achieved the SISRE of 0.90 m, on par with that of the QZSS IGSO satellites. However, the average SISRE of BDS-3 geostationary earth orbit (GEO) satellites was 1.15 m, which was marginally inferior to that of the QZSS GEO satellite (0.91m). In terms of positioning accuracy, the overall three-dimensional single-frequency standard point positioning (SPP) accuracy of BDS-3 B1C, B2a, B1I, and B3I gained an accuracy level better than 5 m. Moreover, the B1I signal exhibited the best positioning accuracy in the Asian-Pacific region, while the B1C signal set forth the best positioning accuracy in the other regions. Owing to the advantage in signal frequency, the dual-frequency SPP accuracy of B1C+B2a surpassed that of the transitional signal of B1I+B3I. Since there are more visible satellites in Asia-Pacific, the positioning accuracy of BDS-3 was moderately superior to that of GPS. The precise point positioning (PPP) accuracy of BDS-3 B1C+B2a or B1I+B3I converged to the order of centimeters, marginally inferior to that of the GPS L1+L2. However, these three combinations had a similar convergence time of approximately 30 minutes.
Trend Analysis of Climatic and Hydrological Parameters in Ajora-Woybo Watershed, Omo-Gibe River Basin, Ethiopia
Authors: Toma Meseret Bekele , Belete Mulugeta Dadi , Ulsido Mihret Dananto
Published: December 2021

BackgroundIdentifying hydro-meteorological trends is basic for assessing change in climate and river discharge at watershed level. This study examined the long-term trends of rainfall, temperature, and discharge in the annual, monthly and seasonal time scale of Ajora-Woybo watershed in Ethiopia. The data span of rainfall and temperature is between 1990 and 2020 and that of discharge is between 1990 and 2015. Homogeneity test was performed by using Pettit and SNHT tests. Then Mann-Kendall and Sen's slope test for trend analysis and different variability measures were used. ResultsResults indicate that inhomogeneity was detected in annual rainfall data of Angacha and Areka stations. On annual basis, rainfall and discharge exhibited insignificant trends over time while showing a general decreasing pattern. On monthly basis, February and March were found to have significantly decreasing trend for rainfall. During the Kiremt season, rainfall increases and discharge decreases insignificantly. In contrast, maximum, minimum and mean annual temperatures exhibited significant trends with annual increment of 0.04oC, 0.01oC, and 0.025 oC per year respectively. Correlations of discharge with both temperature and rainfall have found to be weak in this study.ConclusionsThis trend, combined with population growth and increasing demand of water for agricultural activities exacerbates competing demands for water resources. Caution is therefore required when it comes to developing appropriate measures for the planning and sustainable development of the water resources in the watershed.
Human-Altered Landscapes and Climate To Predict Human Infectious Disease Hotspots
Authors: Jagadesh Soushieta , Combe Marine , Nacher Mathieu , Gozlan Rodolphe Elie
Published: December 2021

Background

Zoonotic diseases account for more than 70% of emerging infectious diseases. Due to their increasing incidence, and impact on global health and economy, anticipating the emergence of zoonoses is a major public health challenge. Here, we use a biogeographic approach to predict future hotspots and determine the factors influencing disease emergence. We have focused on three viral disease groups of concern: Filoviridae, Coronaviridae, and Henipaviruses.
Methods

We modelled presence-absence data in spatially explicit binomial and zero-inflation binomial logistic regression with and without autoregression. Presence data were extracted from published studies for the three EID groups. Various environmental and demographical rasters were used to explain the distribution of EIDs. True Skill Statistic and deviance parameters were used to compare the accuracy of the different models.
Results

For each group of viruses, we were able to identify and map areas at high risk of disease emergence based on the spatial distribution of disease reservoirs and hosts, as well as data on the distribution of each disease. Common influencing drivers are climatic covariates (minimum temperature and rainfall) and human-induced land modifications.
Conclusions

Using topographical, climatic and previous disease outbreaks reports, we show that we can identify and predict future high-risk areas for disease emergence, such as the current COVID-19 pandemic, and their specific underlying human and environmental drivers. We suggest that such a predictive approach to EIDs should be carefully considered in the development of active surveillance systems for pathogen emergence and epidemics at local and global scales.
Association Between Second Hand Smoke (SHS) Exposure In Pregnant Women And Their Socioeconomic Status (SES) And Its Interaction With Age: A Cross-Sectional Study In Urban Areas
Authors: Wensu Zhou , Xidi Zhu , Zhao Hu , Shaojie Li , Baohua Zheng , Yunhan Yu , Huilan Xu , Xiyue Xiong
Published: December 2021

Background: The high rate of second hand smoke (SHS) exposure puts pregnant women at risk of various harms and identify relevant influence factors are vital for primary prevention. The study aimed to explore the effect of individual socioeconomic status (SES) on exposure to SHS exposure among pregnant women.Methods: A total of 678 non-smoker pregnant women from 14 communities of Hengyang city, Hunan province of China were recruited in this survey. A self-designed structural questionnaire was used to collect variables. Exposure to SHS was defined as self-reported smoking habit of spouse/partner. The individual SES consisted of martial status, educational attainment, employment and per-capita monthly income.Results: There were 238 (35.1%) participants suffered from SHS exposure during pregnancy. After adjusted for confounding variables, compared to the pregnant women who were employed, others were unemployed were more likely to suffer from SHS exposure (OR= 1.697; 95%CI: 1.102-2.614). Similarly, those women who had high school or technical secondary school education level were associated with SHS exposure compared with college or above education attachment (OR: 1.577, 95%CI: 1.020-2.437). The interaction effects between age and junior middle school or below educational attainment (OR: 1.131, 95%CI: 1.015-1.261), unstable marriage (OR: 1.380, 95%CI: 1.075-1.772) on SHS exposure was detected.Conclusion: Exposure to SHS was very common among pregnant women. Those pregnant women of low level of SES should considered as key population to implement public health intervention. Pregnant women of unstable martial status with older age were more likely to SHS exposure.
Predicting Variant-Driven Multi-Wave Pattern of COVID-19 via a Machine Learning Analysis of Spike Protein Mutations
Authors: de Hoffer Adele , Vatani Shahram , Cot Corentin , Cacciapaglia Giacomo , Chiusano Maria Luisa , Cimarelli Andrea , Conventi Francesco , Giannini Antonio , Hohenegger Stefan , Sannino Francesco
Published: December 2021

Never before such a vast amount of data, including genome sequencing, has been collected for any viral pandemic than for the current case of COVID-19. This offers the possibility to trace the virus evolution and to assess the role mutations play in its spread within the population, in real time. To this end, we focused on the Spike protein for its central role in mediating viral outbreak and replication in host cells. Employing the Levenshtein distance on the Spike protein sequences, we designed a machine learning algorithm yielding a temporal clustering of the available dataset. From this, we were able to identify and define emerging persistent variants that are in agreement with known evidences. Our novel algorithm allowed us to define persistent variants as chains that remain stable over time and to highlight emerging variants of epidemiological interest as branching events that occur over time. Hence, we determined the relationship and temporal connection between variants of interest and the ensuing passage to dominance of the current variants of concern. Remarkably, the analysis and the relevant tools introduced in our work serve as an early warning for the emergence of new persistent variants once the associated cluster reaches 1% of the time-binned sequence data. We validated our approach and its effectiveness on the onset of the Alpha variant of concern. We further predict that the recently identified lineage AY.4.2 (‘Delta plus’) is causing a new emerging variant. Comparing our findings with the epidemiological data we demonstrated that each new wave is dominated by a new emerging variant, thus confirming the hypothesis of the existence of a strong correlation between the birth of variants and the pandemic multi-wave temporal pattern. The above allows us to introduce the epidemiology of variants that we described via the Mutation epidemiological Renormalisation Group (MeRG) framework.
Validation of the Arabic Version of the Refugee Health Screener-13 Among Perinatal Syrian Refugees in Lebanon
Authors: Alnaji Nada Adel , Struwe Leeza , Bagenda Danstan
Published: December 2021

Background: Refugee mothers are at a significantly increased risk of suffering from perinatal depression. However, available tools to screen for it often use a western paradigm of mental health, may not be culturally appropriate, and may not account for the background stress experienced by refugees. The objective of this study is to test and validate RHS-13, which was developed by consultation with refugees from different backgrounds, among a group of Syrian refugee mothers living in Beka’s valley in Lebanon. Methodology: The tool was tested on a sample of 103 women. Internal consistency of the items for each subscale was assessed using Cronbach’s alpha. An interitem correlation was performed to examine the most correlated items on the scale. Pearson correlation coefficient was calculated between each subscale and its diagnostic proxy. To find the best fit cut-point between sensitivity and specificity, ROC curves were used. Results: RHS-13 is a reliable and valid tool to detect depression and anxiety among perinatal Syrian mothers (Internal consistency 0.803) (correlation with PHQ: 0.63), (correlation with GAD-7: 0.73). The best fit cut-points were 12, 15, and 25 indicating the severity of symptoms from mild to severe, respectively. Conclusion: RHS-13 is a valid tool among perinatal refugees in Lebanon and can be used by primary care physicians, mental health providers, social workers working with refugees from the Middle East to screen mothers for depression and anxiety.
Machine Learning-Based Early Intrusion Detection System in Industrial LAN Networks Using Honeypots
Authors: Pashaei Abbasgholi , Akbari Mohammad Esmaeil Esmaeil , Lighvan ‪Mina Zolfy , Charmin Asghar
Published: December 2021

The emergence of industrial Cyberinfrastructures, the development of information communication technology in industrial fields, and the remote accessibility of automated Industrial Control Systems (ICS) lead to various cyberattacks on industrial networks and Supervisory Control and Data Acquisition (SCADA) networks. The development of ICS industry-specific cybersecurity mechanisms can reduce the vulnerability of systems to fire, explosion, human accidents, environmental damage, and financial loss. Given that vulnerabilities are the points of penetration into industrial systems, and using these weaknesses, threats are organized, and intrusion into industrial systems occurs. Thus, it is essential to continuously improve the security of the networks of industrial control facilities. Traditional intrusion detection systems have been shown to be sluggish and prone to false positives. As a result, these algorithms' performance and speed must be improved. This paper proposes a novel Honeypot enhanced industrial Early Intrusion Detection System (EIDS) incorporated with Machine Learning (ML) algorithms. The proposed scheme collects data from all sensors of Honeypot and industrial devices from the industrial control network, stores it in the database of EIDS, analyses it using expert ML algorithms. The designed system for early intrusion detection can protect industrial systems against vulnerabilities by alerting the shortest possible time using online data mining in the EIDS database. The results show that the proposed EIDS detects anomalous behavior of the data with a high detection rate, low false positives, and better classification accuracy.
Niraparib-Related Pulmonary Embolism During Ovarian Cancer Therapy
Authors: Wei Qiang , Chen Dong-sheng , Liu Yuan-hua
Published: December 2021

Niraparib, an oral, potent, highly selective poly (ADP-ribose) polymerase (PARP) inhibitor, has promising clinical benefit for maintenance treatment of patients with ovarian cancer in partial response to platinum-based chemotherapy, especially in patients with BRCA mutation. In publicly available niraparib-related treatment adverse events, gastrointestinal disorders and haematological toxicities were most commonly reported with manageable safety profile. Herein, we firstly describe a severe and never reported pulmonary embolism (PE) associated with the use of niraparib in a patient with BRCA mutation advanced high-grade serous ovarian cancer, and received anticoagulant therapy after PE. There have been no reports of PE caused by the use of niraparib in patients with advanced high-grade serous ovarian cancer, knowledge of the occurrence of PE after the use of niraparib may assist other clinicians in managing this rare but potentially serious toxic effect.
Analyzing Wildfires and their Socio-economic Factors in Sardinia
Authors: Serra Laura , Detotto Claudio , Vannini Marco
Published: December 2021

In the last decades, wildfire hazards have increased to dangerous levels, becoming the focus of debate among policymakers both at the local and national levels. This paper proposes a Spatio-temporal approach to study the determinants of fire size distributions taking Sardinia as a case study in the time span 1998-2009. Special attention is devoted to socioeconomic factors of local communities where wildfires occurred. The main finding of this study is that the proportion of public lands in a given municipality tends to mitigate the extent of the burned area. In addition, communities with a higher percentage of people employed in the primary sector are less likely to experience large burned extents.
Mechanisms of allergen-specific B cell tolerance in children with cow’s milk-oral immunotherapy and natural outgrowth of milk allergy
Authors: Satitsuksanoa Pattraporn , de Veen Willem van , Tan Ge , Wirz Oliver , Jansen Kirstin , Sokolowska Milena , Mirer David , Globinska Anna , Boonpiyathad Tadech , Schneider Stephan , Barletta Elena , Spits Hergen , Chang Iris , Boyd Scott , Akdis Cezmi , Nadeau Kari C. , Akdis Mübeccel
Published: December 2021

Antigen-specific memory B cells play a key role in the induction of immune tolerance to food allergens and clinical healing. Here, we characterized the role of allergen-specific B cells in immune tolerance induced by oral allergen-specific immunotherapy (OIT) and natural tolerance that developed in children who spontaneously outgrew cow’s milk allergy. Increased frequency of circulating milk allergen αS1-casein -specific B cells was observed after OIT and natural tolerance (NT). Milk desensitized subjects showed partial acquisition of tolerance phenotypic features induced tolerance, suggesting that desensitization is an earlier stage of tolerance. Immunoregulatory genes such as IL10RA and IGHG4 are significantly upregulated after OIT (desensitized and tolerance) versus NT. Secreted proteins from allergen-specific B cells revealed higher amounts of regulatory cytokines, IL-10 and TGF-β after OIT and NT. Taken together, allergen-specific B cells are essential elements in regulating food allergen tolerance in both OIT-received and naturally-resolved individuals.
MiR-26b-5p Promotes Osteogenesis of Bone Mesenchymal Stem Cells via Suppressing FGF21
Authors: Wang Bin , Li Zhenhui , Mai Caiyuan , Mou Penglin , Pan Lei
Published: December 2021

Introduction: It has been established that miR-26b-5p actively participate in the osteogenic differentiation of bone mesenchymal stem cells (BMSCs), which is of great value in osteoporosis treatment. Database showed that Fibroblast growth factor(FGF)21 is a potential binding site of miR-26b-5p. This study aimed to investigate the molecular osteogenic mechanisms of miR-26b-5p targeting FGF21 in postmenopausal osteoporosis (PMOP). Methods: 5ml of bone marrow was aspirated from the anterior superior iliac spine in 10 PMOP women during bone marrow puncture. BMSCs were used to establish an in vitro cell model, and BMSCs markers were analyzed by flow cytometry. miR-26b-5p and FGF21 were overexpressed for 48h, and then placed in an osteogenic induction medium for osteogenic induction culture, the expression of RNA was detect using RT-qPCR. Cells from miR-26b-5p group were collected on days 7, 14 and 21 of induction for ALP and alizarin red S staining. On day 7 of induction, RT-qPCR was used to measure Runx2, Osterix (Osx), and target gene FGF21 expression levels in each group. The dual-luciferase reporter gene system was used to verify that FGF21 was a direct target of miR-26b-5p. FGF21 was measured by western blotting in the miR-26b-5p overexpression group and in the miR-26b-5p inhibition group. Results: BMSCs were identified according with the antigenic characteristics. miR-26b-5p expression was significantly upregulated after the expression of miR-26b-5p mimics; however, FGF21 expression was downregulated after FGF21 mimics. After overexpression of miR-26b-5p, the alkaline phosphatase activity and nodules of alizarin red S in the culture medium gradually increased as the induction time increased. RT-qPCR showed that the expressions of master osteogenic factors Runx2 and Osx in the BMSC+ osteogenic differentiation medium group was significantly higher than in the BMSC group, the expressions of the factors in the BMSC+ miR-26b-5p overexpression group was significantly higher than in the control group. Target gene FGF21 expression was significantly lower in the BMSC+ osteogenic differentiation medium group than in the BMSC group, and was significantly lower in the BMSC+ miR-26b-5p overexpression group than in the control group. Luciferase reporter assays demonstrated that FGF21 was a direct target of miR-26b-5p. Finally, western blotting analysis showed that FGF21 expression was significantly downregulated in the miR-26b-5p overexpressed group and upregulated in the miR-26b-5p inhibition group. Conclusion: miR-26b-5p can regulate the osteogenic differentiation of BMSCs and participate in PMOP pathogenesis via suppressing FGF21. The present study provides the basis for further studies on PMOP.
Risk Factors of Hepatocellular Carcinoma in Non-alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis
Authors: Guo Wenpei , Liu Lixin
Published: December 2021

To better identify people at high risk of developing hepatocellular carcinoma (HCC) in non-alcoholic fatty liver disease (NAFLD), we aimed to conduct a systematic review and meta-analysis. Databases (including MEDLINE, EMBASE, Web of Science, the Cochrane Library, ClinicalTrials.gov) were searched up to March 2021. We included studies that reported odds ratios (ORs) or hazard ratios (HRs) and 95% confidence intervals. 24 studies (3 prospective cohort studies, 16 retrospective cohort studies, and 5 case-control studies) of 23 articles, with a total of 1004284 NAFLD cases and 3610 NAFLD-HCC cases, were finally included. The pooled data suggested male, older age, diabetes, low platelet count, and advanced liver fibrosis were important risk factors for HCC in NAFLD. Hypertension, overweight, low albumin, PNPLA3 genotype, dyslipidemia, abnormal liver enzymes were also risk factors worth concern. This study may contribute to the establishment of targeted screening and secondary prevention of HCC in patients with NAFLD.
The Impact of A Web-Based Lifestyle Educational Program (‘Living Better’) Reintervention on Hypertensive Overweight or Obese Patients During The COVID-19 Pandemic.
Authors: Múzquiz-Barberá Pedro , Ruiz-Cortés Marta , Herrero Rocío , Vara Mª Dolores , Escrivá-Martínez Tamara , Carcelén Raquel , Baños Rosa M , Rodilla Enrique , Lisón Juan Francisco
Published: December 2021

‘Living Better’, a self-administered web-based intervention, designed to facilitate lifestyle changes, has already shown positive short and medium-term health benefits in patients with an obesity-hypertension phenotype. The objectives of this study were: (1) to examine the long-term (3-year) evolution of a group of hypertensive overweight or obese patients who had already followed the ‘Living Better’ program; (2) to analyse the effects of completing this program a second time (reintervention) during the COVID-19 pandemic. A quasi-experimental uncontrolled design was used. We recruited 29 individuals from the 105 who had participated in our first study. We assessed and compared their systolic and diastolic blood pressure (SBP and DBP, respectively), Body Mass Index (BMI), eating behavior, and physical activity levels (METs-min/week) at Time 0 (follow-up 12 months after the first intervention), Time 1 (before the reintervention), and Time 2 (post-reintervention). Our results showed significant improvements between Time 1 and Time 2 in terms of SBP [−4.7 (−8.7 to −0.7); P=.017], DBP [−3.5 (−6.2 to −0.8); P=.009], BMI [−0.7 (−1.0 to −0.4); P<.001], emotional eating [−2.8 (−5.1 to −0.5); P=.012], external eating [−1.1 (−2.1 to −0.1); P=.039], and physical activity levels (Time 1: 2308±2266; Time 2: 3203±3314; P=.030, Z=-2,17). Statistical analysis showed no significant differences in SPB, DBP, BMI, and eating behavior between Time 0 and Time 1 (P>.24). Implementation of the ‘Living Better’ program maintained some positive long-term (3-year) health benefits in patients with an obesity-hypertension phenotype. Moreover, a reintervention with this same program during the ongoing COVID-19 pandemic produced significant improvements in blood pressure, BMI, eating behavior, and physical activity levels beyond the 3-year follow-up.Trial Registration: ClinicalTrials.gov NCT04571450; https://clinicaltrials.gov/ct2/show/NCT04571450; First Posted: 01/10/2020.
LI-RADS Classification and Outcomes of Hepatocellular Carcinoma Treated with Transcatheter Arterial Chemoembolization  Combined with Radiofrequency Ablation
Authors: Tachibana Yuji , Takaji Ryo , Maruno Miyuki , Honda Koichi , Endo Mizuki , Murakami Kazunari , Asayama Yoshiki
Published: December 2021

PurposeThe aim of this study was to clarify the usefulness of the Liver Imaging Reporting and Data System (LI-RADS) to predict the patients’ prognosis after transcatheter arterial chemoembolization (TACE) combined with radiofrequency ablation (TACE-RFA) for hepatocellular carcinoma (HCC) of Barcelona-Clinic Liver Cancer Stage (BCLC) 0 or A.Materials and MethodsWe retrospectively analyzed cases of HCC patients who underwent TACE-RFA (Jan 2005 to Dec 2015). Patients’ nodules were categorized based on their LI-RADS v2018 core. The LI-RADS category was assigned to each nodule using dynamic contrast-enhanced CT. LR-3, LR-4 and LR-5 nodules were extracted. We assessed the overall survival (OS) and recurrence-free survival (RFS) among BCLC 0 and BCLC A patients.ResultsOf the 64 nodules extracted, 22 were LR-3 or -4 (14.8±6.7 mm) and 42 were LR-5 (17.1±6.9 mm). Regarding OS, there was no significant difference between LR-3 or -4 and LR-5 (p=0.278). In terms of RFS, there was a significant difference between LR-3 or -4 and LR-5 (p=0.03). In particular, patients with BCLC A with LR-5 nodules showed significantly poorer RFS than those with LR-3 or -4 (p=0.016) nodules. Conclusions﻿For patients with BCLC A, LR-3 or -4 are associated with a better prognosis than LR-5 nodules.
Reduced Risk of Serious Pneumococcal Infection Up to 10 Years After 7-Valent Pneumococcal Conjugate Vaccine in Arthritis Patients
Authors: Nagel Johanna , Jönsson Göran , Nilsson Jan-Åke , Manuswin Chanchai , Englund Martin , Saxne Tore , Kapetanovic Meliha C
Published: December 2021

Background: To examine rates of serious pneumococcal infections up to 10 years after vaccination with 7-valent conjugated pneumococcal vaccine (PCV7) in patients with arthritis compared to non-vaccinated arthritis patients.Methods: In total, 595 adult arthritis patients (rheumatoid arthritis; RA=342, 80% women and spondylarthropathy; SpA=253, 45% women) received one dose of PCV7. Mean age/disease duration were 62/16 and 51/14 years, respectively. For each patient, 4 matched reference subjects were identified.At vaccination, 420 patients received bDMARDs (anti-TNF=330, tocilizumab=15, abatacept=18, anakinra=1, rituximab=56). Methotrexate was given as monotherapy (n=86) or in combination with bDMARD (n=220). 89 SpA patients received NSAIDs without DMARD. The Skåne Healthcare Register was searched for ICD-10 diagnostic codes for pneumococcal infections (pneumonia, lower respiratory tract infection, septicemia, meningitis, septic arthritis) between January 2000 and December 2018. Frequency of infections after vs before vaccination were calculated (relative risks). Relative risk ratio (RRR) and relative risk reduction (1-RRR) were calculated comparing patients vs non-vaccinated references. Kaplan-Meier and Cox regression were used to investigate time to first event and predictors of infections.Results: Among vaccinated RA and SpA patients, there was a significant relative risk reduction of pneumonia and all serious infections; 53% and 46%, respectively. There was no significant difference in time to first pneumonia or all serious infections after vaccination between patients and references. Higher age, RA diagnosis and concomitant prednisolone were associated with infections.Conclusion: One dose of pneumococcal conjugate vaccine may decrease risk of serious pneumococcal infection up to 10 years in patients with arthritis receiving immunomodulating treatment. Clinical trial registration number: EudraCT EU 2007-006539-29 and NCT 00828997
Phyllantus Emblica Mediated Silica Nanomaterials: Biosynthesis, Structural and Stability Analysis
Authors: Sankareswaran M , Vanitha M , Rajiv P. , Anbukumaran A.
Published: December 2021

The current investigation reports on a green route, simple and eco-friendly method for synthesis of silica nanoparticles from Phyllantus emblica. Appropriate characterization techniques were employed to assess the crystalline nature, microstructure, size, purity, elemental composition and stability of as-biosynthesized silica nanoparticles. The XRD analysis showed a wide-ranging peak at 22∘ of 2θ value and proved that the nanoparticles were crystalline nature with 32 nm average size of particles. FT-IR studies confirmed the occurrence of metal oxide group and presence of phyto-molecules namely hydroxyl, amide, and carboxyl functional groups, which were responsible for formation and stabilization of silica nanomaterials. TGA and Zeta potential analysis determined that silica nanoparticles are highly thermostable. EDX analysis revealed the purity of nanomaterials and spectra confirmed that formation of silica nanomaterials (72.97 weight percentage of SiO2 content) with low impurities. SEM analysis shows that the particles are spherical in shape with low agglomeration. This research work concluded that the P. emblica was an excellent and reliable green resource for production of highly stable and potential silica nanoparticles.