bluuebunny/crossref_metadata_2025_split huggingface dataset:
BEHAVIORAL INTENTION OF ISLAMIC PEER-TO-PEER LENDING SERVICES USERS
Authors: Kurniaputri Mega Rachma , Fatwa Nur 
Published: December 2022

The fintech lending industry, as in non-bank financial institutions in Indonesia, has faced several problems, such as low financial literacy, constraints on the information system, weak scoring system, users data leakage, technology gaps with Islamic banks, and cases of default that make lenders disappointed and share it through social media. Although there are many problems, it does not reduce the intention of the lenders to lend their money through peer-to-peer lending as an alternative investment place. This research uses a quantitative descriptive method with the Partial Least Square - Structural Equation Modeling (PLS-SEM) technique. The study is conducted on 250 lenders in Indonesia who lend through Islamic peer-to-peer lending. Based on the results, lenders' intention is influenced by factors of effort expectancy, habit, and hedonic motivation. The lenders found that lending their money will improve their profit and make it easy to use. Meanwhile, facilitating conditions, habits, and behavioral intentions directly affect user behavior to continue to choose the Islamic peer-to-peer lending service that is already being used. The acceptance and use of lenders to use Islamic peer-to-peer lending are influenced by effort expectancy, habit, hedonic motivation, facilitating conditions, and behavioral intentions. This study is expected to be a recommendation for the financial technology industry to improve its services and facilities for users, particularly for lenders. In addition, this research can be an additional reference for regulators to make regulations related to Islamic financial technology, particularly for lenders in fintech lending.
Serological description of neonatal umbilical cord blood from pregnant woman confirmed with positive COVID-19 by RT-PCR at Rumah Sakit Umum Pusat H. Adam Malik, Medan, Indonesia
Authors: Sihite Benjamin , Sitepu Makmur , Sukatendel Khairani , Nursani Lumbanraja Sarma , Helmi Effendi Iman , Yaznil Rizki , Ardiansyah Edy 
Published: December 2022

HIGHLIGHTS
1. COVID-19 raises concern in regard with its effect on pregnancy.2. The serological descriptions of umbilical cord of neonates born from mothers suffering from COVID-19 were identified.3. Most of the serology was non-reactive IgG and IgM, followed was reactive IgG and the least was the reactive IgM.

ABSTRACT
Objective: To evaluate the serological description of the neonatal umbilical cord in COVID-19 mothers confirmed by RT-PCR at Rumah Sakit Umum Pusat (RSUP) H. Adam Malik Medan in January-June 2021.
Materials and Methods: This study was an observational study with a case series approach where the cases were mothers infected with SARS CoV-2 confirmed by RT-PCR. The study was conducted at Universitas Sumatera Utara (USU) Hospital Laboratory and RSUP H. Adam Malik for 6 months, from January 2021 to June 2021. The data collected were analyzed using descriptive statistics. If the data were normally distributed, they were presented as mean + SD; otherwise, they were presented as median (min-max) for each variable. The Statistical Package for Social Sciences version 22.0 (IBM SPSS Corp.; Armonk, NY, USA) was used for statistical analysis.
Results: Neonatal umbilical cord serology results (IgM and IgG) were predominantly non-reactive, where IgM was non-reactive in 43 neonates (97.7%) and IgG was non-reactive in 37 neonates (84.1%). In mothers without COVID-19 symptoms, neonate umbilical cord serology results were dominated by non-reactive IgM (88.6%) and IgG (79.5%). In mothers who recovered from COVID-19, neonate umbilical cord serology results were also dominated by non-reactive IgM (95.5%) and IgG (81.8%).
Conclusion: The neonatal umbilical cord serology results from the mother confirmed with positive COVID-19 were nonreactive IgG and IgM in the majority of 35 (79%) samples, reactive IgG in 7 (15.9%), and reactive IgM in 1 (2%) sample.
role of adequate vitamin D levels in the menstrual cycle of reproductive-age women
Authors: Meliana Ahila , Salsabila Hana , Witarto Bendix Samarta , Wahyunitisari Manik Retno 
Published: December 2022

HIGHLIGHTS
1. This study reviews the effect of adequate levels of serum vitamin D on menstrual cycle2. Vitamin D affects the length and regularity of menstrual cycle3. Women with vitamin D insufficiency typically report irregular and prolonged menstrual periods than women with adequate vitamin D levels.

ABSTRACT
Objective: This study investigated the role of adequate vitamin D levels in the menstrual cycle of reproductive-age women.
Materials and Methods: We systematically searched using certain key words in PubMed and ScienceDirect for English articles, full articles, published between August 2013 - August 2022 that evaluated the effect of vitamin D levels on the menstrual cycle of women in reproductive age. The results were analyzed qualitatively.
Results: Eight studies from 653 recorded articles were eligible for review. Decreased vitamin D levels can cause menstrual cycle irregularities, which are related to a decrease in the hormone estradiol, affecting the menstrual cycle. In addition, lower levels of vitamin D lead to longer menstrual cycles.
Conclusion: Vitamin D is vital in the menstrual cycle because it influences the frequency and duration of menstruation.
Monthly Trends in Drug Overdose Mortality among Youth Aged 15-34 Years in the United States, 2018-2021: Measuring the Impact of the COVID-19 Pandemic
Authors: Lee Hyunjung , Singh Gopal K. 
Published: December 2022

Background: Adolescents and young adults in the United States (US) have experienced a significant increase in drug overdose mortality rates in the last two decades. During the Coronavirus disease 2019 (COVID-19) pandemic, they experienced a lack of access to substance use disorder treatment, stay-home orders, school closure, social isolation, increased psychological distress, and financial strain. Few studies have examined the impact of the pandemic on monthly trends in drug-overdose mortality among youth by race/ethnicity. This study estimates differential changes in monthly drug overdose mortality among youth in the US by age, sex, and race/ethnicity.
Methods: Monthly deaths from the final 2018-2020 national mortality data and the 2021 provisional mortality data were used, and monthly population estimates were obtained from the Census Bureau. We calculated age-specific monthly drug overdose deaths per one million population and used log-linear regression models to estimate monthly percent increases in mortality rates from January 2018 through October 2021.
Results: Drug-overdose deaths among individuals aged 15-34 increased by 36.5% from 2019 (21,152 deaths) to 2020 (28,879 deaths). From February 2020 to May 2020, the drug-overdose mortality rate increased by 62% for males, 53% for females, 79% for Blacks, 62% for American Indians/Alaska Natives (AIANs), 57% for Hispanics, 56% for non-Hispanic Whites, and 47% for Asians. From January 2018 to October 2021, the average monthly drug-overdose mortality rate increased by 2.69% per month for Blacks, 2.54% for AIANs, 2.27% for Hispanics, 1.37% for Asians, and 0.81% for non-Hispanic Whites. Increases in drug-overdose mortality were more rapid among males than females and among youth aged 15-24 than youth aged 25-34.
Conclusion and Global Health Implications: During the peak months in 2020 and 2021, the COVID-19 pandemic had a disproportionate impact by race/ethnicity on trends in drug overdose mortality among the youth. Drug overdose mortality rates increased faster among Blacks, Hispanics, AIANs, and Asians compared to non-Hispanic Whites.

Copyright © 2022 Lee and Singh. 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.
Marked Disparities in COVID-19 Vaccination among US Children and Adolescents by Racial/Ethnic, Socioeconomic, Geographic, and Health Characteristics, United States, December 2021 – April 2022
Authors: Singh Gopal K , Lee Hyunjung , Azuine Romuladus E. 
Published: December 2022

Background: The COVID-19 pandemic has had a substantial adverse impact on the health and well-being of populations in the United States (US) and globally. Although COVID-19 vaccine disparities among US adults aged ≥18 years are well documented, COVID-19 vaccination inequalities among US children are not well studied. Using the recent nationally representative data, we examine disparities in COVID-19 vaccination among US children aged 5-17 years by a wide range of social determinants and parental characteristics.
Methods: Using the US Census Bureau’s Household Pulse Survey from December 1, 2021 to April 11, 2022 (N=86,335), disparities in child vaccination rates by race/ethnicity, socioeconomic status, health insurance, parental vaccination status, parental COVID-19 diagnosis, and metropolitan area were modeled by multivariate logistic regression.
Results: During December 2021–April 2022, an estimated 40.1 million or 57.2% of US children aged 5-17 received COVID-19 vaccination. Vaccination rates were lowest among children of parents aged 25-34 (34.9%) and highest among children of parents aged 45-54 (69.2%). Children of non-Hispanic Black parents, divorced/separated and single individuals, parents with lower education and household income levels, renters, not-employed parents, the uninsured, and parents without COVID-19 vaccination or with COVID-19 diagnoses had significantly lower rates of vaccination. Controlling for covariates, Asian and Hispanic children aged 5-17 had 134% and 47% higher odds of receiving vaccination than their non-Hispanic White counterparts. Children of parents with a high school education had 47% lower adjusted odds of receiving vaccination than children of parents with a master’s degree or higher. Children with annual household income <$25,000 had 48% lower adjusted odds of vaccination than those with income ≥$200,000. Although vaccination rates were higher among children aged 12-17 than among children aged 5-11, sociodemographic patterns in vaccination rates were similar. Parental vaccination status was the strongest predictor of children’s vaccination status Vaccination rates for children aged 5-17 ranged from 49.6% in Atlanta, Georgia to 82.6% in San Francisco, California.
Conclusion and Global Health Implications: Ethnic minorities, socioeconomically-disadvantaged children, uninsured children, and children of parents without COVID-19 vaccination or with COVID-19 diagnoses had significantly lower vaccination rates. Equitable vaccination coverage among children and adolescents is critical to reducing inequities in COVID-19 health outcomes in the US and globally.

Copyright © 2022 Singh 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.
Mathematical Modeling of Transient Electromagnetic Sounding Signals for Monitoring the State of Permafrost
Authors: Nikitenko M.N. , Glinskikh V.N. , Mikhaylov I.V. , Fedoseev A.A. 
Published: December 2022

Abstract
—The study is aimed at theoretical development and scientific substantiation of a high-resolution transient electromagnetic (TEM) geophysical technique for monitoring the state of permafrost. The electromagnetic monitoring configuration includes spatially distributed sounding systems for surface and borehole locations of the field sources and receivers. Changes in the electrophysical properties of the earth can be traced for the cases of both ground thawing and freezing. We developed the theory of TEM signals modeling, upon which created an algorithm for rapid and accurate numerical simulation of the electromagnetic field. The signals are scrutinized from the various sounding systems in the basic earth models as function of registration time. We show how the features associated with a spatial arrangement of frozen rocks appear on the EMF diagrams. It follows that a set of the measured data enables visual detection of the boundary between frozen and thawed rocks.
Do fault systems impede fluvial incision in active orogens?
Authors: Cai Dongxu , Wang Xianyan , Li Guangwei , Jiao Ruohong , Kohn Barry , Zhu Wenbin , De Grave Johan , Lu Huayu 
Published: December 2022

AbstractIt is widely accepted that tectonism generally enhances the incision of river drainage systems. However, the question as to why on a global-scale, rivers have not incised further or more deeply into orogenic plateaus to destroy terranes over long-timescales remains ambiguous. Here we hypothesize the diverse nature of regional tectonics could have impeded river erosion to maintain plateau topography, taking Yarlung River in southern Tibetan Plateau as a case. We constrain the incision history and effect of a N-S trending tectonic rift on the evolution of fluvial incision by the low-temperature thermochronology. Results show a fast cooling since ~ 7 Ma focused near the rift structures, but markedly reduced cooling in upstream and downstream regions. This indicates that the steep flank fault of the rift controlled local rapid exhumation as a knickpoint since that time. This coincides with an episode of rapid exhumation of Eastern Himalaya Syntaxis downstream. We propose that these two co-phased tectonic systems with the accelerated late Miocene extension of southern Tibet prevented upstream migration of river knickpoints, and impeded fluvial incision. Our study highlights that the activity of fault systems may hinder regional erosion, thereby facilitating the preservation of topography and high plateau in active orogenic belts.
Straw mulch improves soil carbon and nitrogen cycle by mediating soil microbial community structure in maize field
Authors: Liu Bangyan , Dai Yisha , Cheng Xin , He Xian , Wang Yifan , Zhu Bo , Zhang Kangping , Tian Xiaoqin , Duan Meichun , Xie Xiaoyu , Bei Qicheng , Wang Longchang 
Published: December 2022

Abstract
Aims This study was conducted to investigate the capability of the microbial community networks and soil variables to promote carbon and nitrogen cycles in maize fields under straw mulch.
Methods We covered the surface soil of the maize field with different amounts of wheat straw (0 kg/ha, 2250 kg/ha, and 4500 kg/ha), then used High-throughput sequencing, Biology ECO-plate, traditional enzymology, TOC analyzer, and HPLC to measure soil microbial community composition and functions, characteristics of microbial carbon source metabolism, carbon and nitrogen fraction, enzyme activity, and organic acid content in maize rhizosphere and non-rhizosphere.
Results Our studies indicated that short-term straw mulch significantly influenced microbial β-diversity. The function predicts results revealed that straw mulch significantly increased the relative abundances of bacteria belonging to chemoheterotrophy, aerobic chemoheterotrophy, ureolysis, and nitrogen fixation while inhibiting fermentation and nitrate reduction in maize rhizosphere soil. The Biology ECO-plate results illustrated that straw mulch weakened the metabolism capacity of microbial labile carbon resources, resulting the soil labile C and N fractions raised. Straw mulch primarily regulated the community structure of Firmicutes, Ascomycota, and Basidiomycota. Those microbial communities direct effected on readily oxidizable organic carbon, microbial biomass carbon, available nitrogen, ammonium nitrogen, nitrate nitrogen, and dissolved organic carbon, and indirect effected on these C and N fractions by directly influencing malic acid content and activity of cellulase, protease, and amylase.
Conclusions Our findings imply that straw mulch accelerate soil C and N cycle in maize field by mediating microbial community structuresto boost labile C and N components.
Ziwuliuzhu Acupuncture Modulates Glu/GABA‑Gln Metabolic Loop Abnormalities in Insomniac Rats
Authors: Huang Ao , Pi Dajin , Chen Yiliu , Lee Pin-Hsuan , Huang Yusen , Hu Zuying , Zhuang Zifeng , Qing Peng , Zhao Canghuan 
Published: December 2022

Abstract
Ziwuliuzhu acupuncture is widely considered an effective treatment for insomnia in clinics, but little is known about its possible mechanisms. This study investigated the therapeutic effect of Ziwuliuzhu acupuncture on insomnia and its regulatory mechanism on the glutamic acid (Glu)/γ-aminobutyric acid (GABA)-glutamine (Gln) metabolic loop in a rat model of insomnia. Hematoxylin and eosin staining was used to observe the pathological tissue in the hypothalamus. The levels of the neurotransmitters Glu and GABA in the hypothalamus were determined by high-performance liquid chromatography (HPLC)-mass spectrometry (MS)/MS. Immunohistochemistry (IHC) was used to detect the expression of the GABAA receptor in the hypothalamus. The expression levels of glutamate decarboxylase (GAD65/67) and glutamine synthetase (GS) in the hypothalamus were determined by Western blotting. Compared with the model group, the Ziwuliuzhu acupuncture groups showed decreased Glu levels (p < 0.001) and GABAA receptor expression (p < 0.01), increased GABA levels (p < 0.05), and a decreased Glu/GABA ratio. In comparison to the model group, Ziwuliuzhu acupuncture increased the protein expression of GAD65 (p < 0.001) and GAD67 (p < 0.05) in the hypothalamus and reduced the expression of GS (p < 0.01). Glu/GABA-Gln metabolism may be regulated by Ziwuliuzhu acupuncture to produce sedative and hypnotic effects, affecting Glu and GABA synthesis and decomposition, as well as restoring the excitatory/inhibitory balance between Glu and GABA.
Falign: An effective alignment tool for long noisy 3C data
Authors: Xiao Chuan-Le , Chen Ying , Lin Zhuo-Bin , Niu Long-Jian , Zhong Jia-Yong , Liu Yi-Zhi , Hou Chun-Hui , Luo Feng 
Published: December 2022

Abstract
Fragmented long noisy reads (FLNRs), such as Pore-C, contain multiple fragments of varied length separated by restriction enzyme sites. Existing alignment tools have a low mapping rate for short fragments and find incorrect fragment boundaries, which affects the utilization of FLNRs for downstream studies. Here, we develop Falign, a sequence alignment method that is adapted to the nature of FLNRs. Falign adopts a two-phase approach to efficiently align both long and short fragments. Falign uses the restriction enzyme sites on the reference genome as boundaries, which avoids the problem of destroyed fragment boundaries on FLNRs. Falign employs a multiple-stage searching mechanism to effectively recover the alignments of FLNRs with multiple fragments and interchromosomal fragments. Experiments on simulated and experimental fragmented long noisy 3C datasets show that Falign can effectively recover the constructs of reads and the sampled loci of the fragments. Falign allows significantly higher data utilization for FLNRs.
Converting Plastic Nuisance into a Valuable Resource: Reuse of Residual Plastic Bottles for Manufacturing (3D) Home Printers Under Economic and Improved Environmental Considerations
Authors: Yair Itay , Cohen Erez , Oron Gideon 
Published: December 2022

Abstract
Plastic processes and products are constantly growing. About two million tons of plastic were produced in 1950. In 2015, about 380 million tons of plastic were manufactured, of which only around four million tons were sent for recycling during the same year. Plastic pollution has become a global problem. Plastic products and waste cause an environmental hazard that disfigures the natural landscape, damaging aquatic ecology, adversely impacting marine habitat, soils, air, causing groundwater contamination, and increasing greenhouse gas emissions.
The three dimensions (3D) printing process is utilizing a computer-aided design (CAD) model, usually by successively adding material in layers. Fused deposition modeling (FDM) – frequently called filament freeform fabrication, is a 3D printing process that uses thermoplastic material as a continuous filament. The goal of the work is to build a prototype printer that uses disposed plastic bottles as a source for raw material. The idea for current work stems from the need to save resources and simultaneously protect the environment.
A 3D home printer was created for this purpose however, changes and adjustments were made to implement the idea of the project. A plastic bottle cutter was built in order to insert the raw material into the prototype printer. In addition, the framework of the extruder was substituted and a nozzle diameter was installed. Additional adjustments were made in the printer to maintain a continuous and uniform flow of the hot plastic that was poured onto the printer surface during the printing process.
Mentalization-Based Treatment for a broad range of personality disorders: a naturalistic study
Authors: Rizzi Endang , Weijers Jonas Gijs , Kate Coriene ten , Selten Jean-Paul 
Published: December 2022

Abstract

Background: Several studies have observed that mentalization-based treatment (MBT) is an effective treatment for borderline personality disorder (BPD), but its effectiveness for other personality disorders (PDs) has hardly been examined. Additionally, the evidence supporting the claim that MBT improves mentalizing capacity is scarce. The present study examined whether (i) patients with a broad range of PDs would profit from MBT (ii) mentalizing capacity would improve over time; (iii) patients with BPD would profit more from MBT than those with non-borderline PDs
Method: Personality disorders, psychiatric symptoms, social functioning, maladaptive personality functioning and mentalizing capacity were measured in a group of individuals with various PDs (n = 46) that received MBT. Assessments were made at baseline and after 6, 12, and 18 months of treatment. The severity of psychiatric symptoms, measured using the Outcome Questionnaire 45, was the primary outcome variable.
Results: Overall, enrollment in the MBT program was associated with a decrease in psychiatric symptoms and an improvement of personality functioning, social functioning for a mixed group of PDs (all p’s ≤ .01). Bigger effect sized were observed for BPD patients (n=25) than for patients with non-BPD (n=21), but the difference failed to reach statistical significance (p=0.06). A primary analysis showed that the decrease in psychiatric symptoms was significant in BPD patients (p=0.01), not in non-BPD (p=0.19) patients. However, a sufficiently powered secondary analysis with imputed data showed that non-BPD patients reported a significant decrease in psychiatric symptoms too (p=0.01). Mentalizing capacity of the whole group improved over time (dvaried between .68 and 1.46).
Discussion: These results suggest that MBT is effective for a broad range of PDs and shows that MBT is associated with improvements in mentalizing capacity. As the study is not experimental in design, we cannot make causal claims.
Trial Registration: The study design was approved by the Leiden University Ethical Committee.
Conclusion: Mentalization-based treatment seems to be an effective treatment for patients with a broad range of PDs.