bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gender differences in social determinant factors of mental health problems among adults during the COVID-19 pandemic in Yogyakarta, Indonesia: A multilevel analysis
Authors: Supriyati Supriyati , Mediola Fiddina , Indraswari Braghmandita Widya , Wardani Ratri Kusuma , Rosha Putri Tiara , Nurvitasari Rahsunji Intan , Madyaningrum Ema , Putri Rahayu Kia Sandi Cahaya 
Published: August 2023

Abstract

Background
The coronavirus disease 2019 (COVID-19) pandemic may increase mental health problems due to several pandemic-related stressors. These stressors may arise and become health problems. The study aims to provide evidence of determinants of mental health among adults in Yogyakarta, Indonesia, and examines individual, family, and community factors contributing to adult mental health problems during the COVID-19 pandemic based on gender.
Methods
A total of 1,328 people (aged 24–59) from Sleman District, Yogyakarta, Indonesia, were involved in this cross-sectional study. We used secondary data from the Sleman HDSS sixth wave’s data collection in 2020. The measurement of mental health was the Self-Reporting Questionnaire (SRQ). The analysis was conducted using chi-square tests and logistic regression.
Results
This study showed that 21.16% of respondents had a mental health problem. Based on stratified analysis by gender, the highest determinant of mental health in the male population was getting laid off (OR: 10.2; 95% CI: 1.50–70.0), and in the female population, it was having cancer (OR: 9.71; 95% CI: 1.67–56.5). The highest risk factor for the family level was being a woman in the poorest family (OR: 2.74; 95% CI: 1.46–5.11). In addition, at the community level, living in urban areas was protective against mental health problems (OR: 0.59; 95% CI: 0.36–0.97).
Conclusions
The individual level significantly influences mental health; however, we cannot ignore the contribution of family and community factors to preventing mental health problems in the adult population.
Resting state brain networks arise from electrophysiology-invisible signals
Authors: Zhang Nanyin , Tu Wenyu , Cramer Samuel 
Published: August 2023

Abstract

Resting-state brain networks (RSNs) have been widely applied in health and disease, but their interpretation in terms of the underlying neural activity is unclear. To systematically investigate this cornerstone issue, here we simultaneously recorded whole-brain resting-state functional magnetic resonance imaging (rsfMRI) and electrophysiology signals in two separate brain regions in rats. Our data show that for both recording sites, band-specific local field potential (LFP) power-derived spatial maps can explain up to 90% of spatial variance of RSNs obtained by the blood-oxygen-level dependent (BOLD) signal. Paradoxically, the time series of LFP band power can only explain up to 35% of temporal variance of the local BOLD time course from the same location even after controlling for the factors that may affect apparent LFP-BOLD correlations such as contrast-to-noise ratio. In addition, regressing out LFP band powers from the rsfMRI signal does not affect the spatial patterns of BOLD-derived RSNs, collectively suggesting that the electrophysiological activity has a marginal effect on the rsfMRI signal. These findings remain consistent in both light sedation and awake conditions. To reconcile this contradiction in the spatial and temporal relationships between resting-state electrophysiology and rsfMRI signals, we propose a model hypothesizing that the rsfMRI signal is driven by electrophysiology-invisible neural activities that are active in neurovascular coupling, but temporally weakly correlated to electrophysiology data. Meanwhile, signaling of electrophysiology and electrophysiology-invisible/BOLD activities are both constrained by the same anatomical backbone, leading to spatially similar RSNs. These data and the model provide a new perspective of our interpretation of RSNs.
Phytoremediation capacity of hybrid aspen at sites affected by industry and agriculture
Authors: Kaivapalu Marju , Ots Katri , Lutter Reimo , Tullus Arvo , Tullus Tea , Sopp Reeno , Hepner Heiki , Siller Mari-Liis , Hordo Maris , Õunapuu-Pikas Eele , Täll Kristjan , Vares Aivo , Tullus Hardi 
Published: August 2023

Abstract

Fast-growingPopulusspp. are well-acknowledged to restore contaminated soils from heavy metals in industrial areas. Thus far, there is no knowledge about the phytoremediation capacity ofPopulusspp. plantations in hemiboreal conditions to restore industrially polluted areas. The objective of this study was to assess the soil contamination rate of heavy metals (As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb and Zn) and their uptake by trees in mature hybrid aspen (Populus tremula×Populus tremuloidesMichx.) plantations at different industrial pollution (e.g. cement factory, thermal power plants, oil shale mining) levels and soil restoration methods. In total, 65 soil samples from the 0–10 cm topsoil layer, 39 wood samples and 39 bark samples were collected. Ingrowth cores were cut to separate wood developed to early and late ages. Soil pollution with heavy metals was determined in all studied plantations. Our study showed that tree growth was affected by soil pH and C:N ratio rather than the heavy metal concentration in the soil. Cd differs from other metals and accumulates less in wood and more in bark. A direct influence of wood age was confirmed; heavy metal (Cd, Cr, Cu, Fe, Mn, Ni and Zn) content in the old wood (formed 11–21 years ago) was higher than in young wood (formed during the last 10 years). The highest amounts of metals would be removed with felling on former agricultural soils with higher biomass, although wood on poorly growing stands in quarry spoil contained higher metal concentrations.
Conditional Inference on the Extreme Value Type-I Distribution Based on Generalized Progressive Hybrid Censored Scheme
Authors: Maswadah M. 
Published: August 2023

Abstract

It is widely known that conditional inference is usually just as effective as Bayesian inference based on a non-informative prior. However, it is less efficient than Bayesian inference based on the informative prior distribution. Therefore, the main objective is to find the conditional point estimates using the pivotal functions for the extreme value type-I distribution parameters, based on the generalized progressive hybrid-censoring scheme, and compare them with the Bayesian estimates, via Monte Carlo simulation. The simulation results showed that conditional inference is highly efficient and provides better estimates than Bayesian estimates based on different loss functions. Finally, weather phenomenon data has been analyzed to demonstrate the efficiencies of the proposed methods and to ensure the importance of this model for analyzing this data. AMS Classification: 62F10, 62F15, 62H10.
HLA Genotype and Probiotics Modify the Association Between Timing of Solid Food Introduction and Islet Autoimmunity in the TEDDY Study
Authors: Uusitalo Ulla , Mramba Lazarus K. , Aronsson Carin Andrén , Vehik Kendra , Yang Jimin , Hummel Sandra , Lernmark Åke , Rewers Marian , Hagopian William , McIndoe Richard , Toppari Jorma , Ziegler Anette-G. , Akolkar Beena , Krischer Jeffrey P. , Virtanen Suvi M. , Norris Jill M. ,   TEDDY Study Group
Published: August 2023

OBJECTIVETo study the interaction among HLA genotype, early probiotic exposure, and timing of complementary foods in relation to risk of islet autoimmunity (IA).RESEARCH DESIGN AND METHODSThe Environmental Determinants of Diabetes in the Young (TEDDY) study prospectively follows 8,676 children with increased genetic risk of type 1 diabetes. We used a Cox proportional hazards regression model adjusting for potential confounders to study early feeding and the risk of IA in a sample of 7,770 children.RESULTSAny solid food introduced early (&lt;6 months) was associated with increased risk of IA if the child had the HLA DR3/4 genotype and no probiotic exposure during the 1st year of life. Rice introduced at 4–5.9 months compared with later in the U.S. was associated with an increased risk of IA.CONCLUSIONSTiming of solid food introduction, including rice, may be associated with IA in children with the HLA DR3/4 genotype not exposed to probiotics. The microbiome composition under these exposure combinations requires further study.
Systematic news media scanning and synthesis: creating a dataset of emergent initiatives and localized responses to public washroom provision in Canada during the COVID-19 pandemic
Authors: Leroux Janette , McCullogh Emily 
Published: August 2023

Abstract

News media are an underused source of localized information on complex and structural public health issues that are neglected in policy and unaccounted for in mainstream data collection. We applied systematic review search methods to online news media and developed a dataset highlighting municipal reactions and initiatives in response to public washroom pressures during the first year of the COVID-19 pandemic. Reliance on consumer-based models of washroom access “became news” amid the closures and lockdowns. Our results showed that many municipalities were grappling with the issue, but overwhelmingly responding with temporary and pandemic-specific measures that did not address the needs of marginalized groups.
Data Mining Modeling Feasibility Patterns of Graduates Ability With Stakeholder Needs Using Apriori Algorithm
Authors: Winarti Titin , Indriyawati Henny 
Published: August 2023

This The speed of information, the accuracy of data, the ease of information services, and accountability are very important reasons for the implementation of the system. Semarang University (USM) is a private university in Semarang that has the most 2 students in Central Java. Based on the 2019 USM tracer data showing horizontal alignment, namely how close the relationship between the field of study and alumni work is, it appears that there is still a discrepancy in the ability of graduates with stakeholders. The Apriori algorithm is the best-known algorithm for finding high-frequency patterns Rules that state associations between attributes are often called affinity analysis or market basket analysis. The use of the Apriori Algorithm in data mining calculations using data from the Semarang University tracer that the limit of the minimum support is 50% and the minimum confidence is 100% so that it forms 4 rules. From the four rules produced that modeling using the Apriori Algorithm can produce several rule formations so that it can provide an evaluation to the University for compiling steps, this can be seen because the resulting rules are different because each graduate relationship with the desired desires and different styles.
Improving Batik and Dropship SMEs Market Through Geographic Information System
Authors: Ilyas Agus , Setiawan Tri Agus , Binabar Sattriedi Wahyu , Christianto Paminto Agung 
Published: August 2023

The information providing about dropship, Small and Mid-size enterprise (SMEs), in Pekalongan city recently is done by brochure, banner and social media. Nevertheless, other than social media, the promotion media is possible to be seen when visitor is on the spot. The research is aimed at supporting the troubleshooting matters by adapting the Geographic Information System (GIS) in mapping about Batik SMEs dropship in Pekalongan city. The web based GIS will ease the market player, tourists or visitors as well as the society to get such information about dropship, SME centre and Batik market. The providing of web based GIS in informing the dropship, SME centre and Batik market in Pekalongan city is expected to give positive impact to Batik businessmen and to improve the economic rate in Pekalongan city
Pembinaan Guru di SMA Swasta Kabupaten Wonosobo: Menuju Pembelajaran Abad 21 Society 5.0
Authors: Ayub Made Rai Suci Shanti Nurani , Kristiyanto Wahyu Hari , Sudjito Debora Natalia , Noviandini Diane , Sudarmi Marmi , Santhalia Prima Warta 
Published: August 2023

Pembinaan guru menuju Society 5.0 adalah suatu upaya yang penting untuk mempersiapkan guru agar siap menghadapi era masyarakat yang semakin terhubung secara digital dan berbasis teknologi. Program pelatihan guru dan kegiatan belajar mengajar sangat menolong guru untuk siap menuju kepada pembelajaran Society 5.0, dengan melakukan langkah-langkah yang tepat, diharapkan guru dapat memainkan peran yang penting dalam menghadapi tantangan yang ada dan membawa perubahan yang positif dalam pembelajaran. Seperti lngkah pembinaan dengan pelatihan dan workshop.
An update on takotsubo syndrome
Authors: Alim Samina , Shah Halia , Zahera Syeda Maryam , Rahmatova Jamolbi , Irfan Mahnoor , Mahmood Zain , Zahra Syeda Anum 
Published: August 2023

Abstract
Takotsubo syndrome (TTS) can be described as an acute, transiently occurring form of heart failure. It typically causes systolic dysfunction of the left ventricle (LV). Perhaps what is of most significance is the reversible nature of TTS, with many patients achieving recovery within a few weeks to months. TTS can be referred to by other names, attributed to its various precipitants, as well as the structural manifestations of the syndrome. Physical and emotional stressors have been identified as the most common of causes, hence the terms ‘stress cardiomyopathy’ and ‘broken heart syndrome’. Precipitants can range from psychological, and hormonal, to molecular mechanisms. The symptoms of TTS can coalesce with other conditions and hence give rise to many differential diagnoses. Most patients present with dyspnoea and chest pain. The latter also presents in acute coronary syndrome (ACS); thus, ACS is a common differential diagnosis for TTS. The coronavirus disease 2019 (COVID-19) pandemic saw a drastic increase in mental health concerns which have persisted beyond this period. Further studies into personality disorders and their potential predisposition to COVID-19 and thus TTS would advance our understanding of the neuropsychiatric triggers of TTS. There is also a need for a single sensitive and specific diagnostic test for TTS as its diagnosis relies on the culmination of clinical presentation, echocardiography, cardiac catheterization, and cardiovascular magnetic resonance imaging (CMR).
The safety of sodium-glucose co-transporter 2 inhibitors in patients with left ventricular assist device – a single center experience
Authors: Moady Gassan , Ben Avraham Binyamin , Aviv Shaul , Itzhaki Ben Zadok Osnat , Atar Shaul , Abu Akel Mahmood , Ben Gal Tuvia 
Published: August 2023

Aims
Sodium-glucose co-transporter 2 (SGLT2) inhibitors are used increasingly for patients with heart failure or chronic kidney disease to improve cardiac and renal outcomes. The use of these medications in patients with left ventricular assist devices (LVAD) is still limited and lacks evidence regarding the safety profile. In this study, we aimed to report our experience in treating 20 patients, supported by LVAD, with SGLT2 inhibitors.

Methods
We studied the safety profile of SGLT2 inhibitors (dapagliflozin and empagliflozin) in 20 patients (mean age 64.7 ± 12.2 years, 75% male) supported by LVAD as destination therapy. All patients have diabetes mellitus and were prescribed SGLT2 inhibitors for glycemic control.

Results
SGLT2 inhibitors were well tolerated with no major adverse events. Few suction events were reported in three patients without the need for pump speed adjustment. There was no change in mean arterial pressure (71.1 ± 5.6 vs. 70.1 ± 4.8 mmHg, P = 0.063). Modest decline in renal function was observed in six patients within the first weeks after drug initiation. There were no events of diabetic ketoacidosis or limb amputation.

Conclusion
SGLT2 inhibitors are safe in patients with LVAD and may potentially improve cardiovascular and renal outcomes in this special population.
A comparison of bond strength and adhesive remnant index of 3D-printed and metal orthodontic brackets attached using different adhesives
Authors: Demirsoy Kevser Kurt , Buyuk Suleyman Kutalmış , Abay Feridun , Simsek Huseyin , Ozcelik Esra 
Published: August 2023

Abstract

Introduction
The aim of this in vitro study was to evaluate the shear bond strength (SBS) and adhesive remnant index (ARI) scores of two different adhesive applications of aesthetic brackets produced from permanent crown material using 3D-printing technology.

Methods
Sixty maxillary premolar teeth extracted for orthodontic reasons were divided into two main groups according to the type of bracket (metal brackets n=30, 3D-printed brackets n=30) and further divided into two subgroups according to the type of adhesive (flowable composite, Tokuyama SuperLow; non-flowable composite; 3M Transbond XT). SBS and ARI score evaluations were conducted in the experimental and control subgroups (n=15). Statistical analysis was performed by a one-way analysis of variance, a post-hoc test, and Fisher’s exact test. Statistical significance was accepted as P < 0.05.

Results
The bond strength of the specimens was significantly affected by the type of composite and bracket type (P < 0.001). However, the SBS values were within or above the desired range for orthodontic treatment in all groups. The highest SBS value was obtained in the Metal Bracket-Transbond XT group (15.03 ± 6.66), while the lowest SBS value was observed in the 3D-Printed Bracket-Transbond XT group (7.91 ± 3.07). It was noted that of all materials evaluated, the most common non-enamel-damaging adhesive–cohesive fractures were in 3D-Printed Bracket Tokuyama SuperLow group (n=13).

Conclusions
It is recommended that 3D-printed orthodontic brackets have sufficient and acceptable SBS levels for clinical applications and bonding using non-flowable adhesives to produce high SBS values and using flowable adhesives generating high ARI scores.
EVALUACIÓN DE LA DINÁMICA FORESTAL EN BOSQUES PREMONTANOS DE SATIPO, PERÚ
Authors: PERALES-VARGAS Carlos Eduardo , GIACOMOTTI José , ORTIZ Lhouangela , REYNEL Carlos 
Published: August 2023

El estudio de la dinámica forestal nos ayuda a ver las tendencias de los bosques hacia el futuro. En esta investigación se evaluó la dinámica forestal a partir de la mortalidad y el reclutamiento en dos parcelas permanentes ubicadas en bosques premontanos entre los 800 y 1500 msnm en la provincia de Satipo, en el departamento de Junín, en la Selva Central del Perú. La parcela Santa Teresa Bosque Primario Intervenido (P-SPI) localizada en un bosque primario registró una población inicial de 698 individuos arbóreos, fue remedida después de un periodo intercensal de 5 años, registrando 80 individuos muertos, 77 reclutas, con una población final de 695 árboles y presentó una tasa anual de mortalidad de 2,43% y una tasa anual de reclutamiento de 2,35%. Mientras que, la parcela Santa Teresa Bosque Secundario Tardío (P-SST) ubicada en un bosque secundario tardío presentó una población inicial de 832 árboles, fue remedida después de un periodo intercensal de 8 años, registrando 152 individuos muertos, 101 reclutas y una población final de 781 árboles, obteniendo una tasa anual de mortalidad de 2,52% y una tasa anual de reclutamiento de 1,73%. Los resultados indican que el bosque P-SPI se encuentra en equilibrio dinámico, mientras que P-SST presenta un moderado decrecimiento en su densidad arbórea. Las familias Euphorbiaceae, Urticaceae, Burseraceae y Moraceae presentaron los mayores niveles de reclutamiento entre ambos bosques. Mientras que, las especies forestales Senefeldera inclinata, Vochysia venulosa, Alchornea glandulosa, Clarisia biflora e Inga ruiziana por su reclutamiento y usos reportados deben ser consideradas en proyectos de restauración ecológica en el ámbito de estudio.
Abelhas Melipona (Melikerria) (Hymenoptera Apidae) de Roraima
Authors: Silva Silvio José Reis da , Maciel Edymeiko de Souza 
Published: August 2023

Abstract: The bees of the genus Melipona form a taxon that is divided into five subgenera with more than 60 species considered valid and of occurrence only in the neotropics. We analyzed the species of Melipona (Melikerria) deposited in the bee’s collection from Integrated Museum of Roraima (MIRR) and the National Institute of Amazonian Research (INPA). It was recognized tree species) from Roraima, Septentrional Amazon: M. (Mk.) fasciculata Smith, 1854; M. (Mk.) interrupta Latreille, 1811 e M. (Melikerria) compressipes (Fabricius, 1804) with two subspecies; Melipona (Mk.) c. compressipes Moure 1960, Melipona (Mk.) c. oblitescens (Cockerell, 1919. We present here in this work an identification key for Melikerria Brazilian species.
Keywords: Biodiversity, Amazon Basin, Taxonomy
Effect of Eco-Processed Pozzolan (EPP) Mixed with Calcium Oxide to Dry Density and Physicochemical of Peat Soil
Authors: Mohamad Habib Musa , James Mohd Suharmin , Zakaria Siti Nor Farhana , Amaludin Adriana Erica , Fui Tom Ngui Min , Zainorabidin Adnan 
Published: August 2023

Peat is a problematic soil, and it is a common problem faced by engineers in construction. The characteristics that have been noted before are high moisture content, poor shear strength, great compressibility, and long-term settlement. For this research study, it focuses on stabilizing peat soil using EPP and CaO. There are three main tests that were conducted in this research study: index properties testing, compaction testing, and For Index Properties testing, five (5) experiments were conducted to study the index properties of disturbed peat soil, which are moisture content, fiber content, liquid limit, organic content, pH, and specific gravity. Next, for the Compaction Test, using a 4.5 kg rammer, define the optimum mixture of stabilizer that is mixed with different volumes of 5%, 10%, 15%, and 20% of stabilizer. In this study, the expected result is to inspire an in-depth study of the use of EPP material and chemical CaO as peat soil stabilizers for better utilization of problematic soil. The main finding was that the mixture with the exact amount of moisture, EPP, and CaO helped stabilize the soil and cure peat soil. Thus, this study confirms the idea of treating peat with EPP and CaO, enhancing the properties of peat soil, and sustaining the settlement over loading for a period of time accordingly. 20% mix of EPP and CaO produces the highest dry density, showing that dry density increases linearly with the amount of mixture to stabilize peat. The crystallization process between peat and EPP was pronouncedly observed where smaller particles identified as EPP filled the gaps in between the pores identified from SEM. The silicon (Si content developed from each spectrum ranged from 14.4% to 17.7%. The EDX results show significant results where mineral crystallization occurred in the coagulation process. Doi: 10.28991/CEJ-2023-09-07-011 Full Text: PDF