bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of COVID-19 on the Role of Renin Enzyme and ACE2 and Hormones in PCOS Females
Authors: Ali Shaimaa Emad , Khaleel Fayhaa M. , Ali Farah Emad 
Published: April 2023

Polycystic ovary syndrome (PCOS) is the most endocrine problem in women of regenerative age. PCOS women typically belong to an age and sex group which is at higher risk for severe coronavirus disease (COVID-19). COVID-19 targets cells through angiotensin-converting enzyme 2 (ACE2) receptor presents on cells in veins, lungs, heart, digestion tracts, and kidneys. Renin-Angiotensin System (RAS) over activity has likewise been described in metabolic disorders; type 2 diabetes mellitus (T2DM), and conditions shared by women with polycystic ovary condition. The point of this study is to know the job of renin and ACE2 in PCOS and coronavirus and its relationship with hormones and other metabolic parameters related. The study groups consist of 120 sample subjects consisting of 80 PCOS-women divided into two groups: - (40 PCOS-women infected with COVID-19 and 40 PCOS-women non-infected with COVID-19) and 40 healthy-women divided into two groups: - 20 women-COVID-19 infected, and 20 women non-COVID-19 infected, ranging in age from 15–40 years old. Renin and ACE2, FBS, lipid profile, level of insulin, HOMA IR, FSH, LH, and testosterone, were measured for all participants. There was an increase in the levels of renin, ACE2, insulin, HOMA-IR, LH, LH / FSH ratio, and testosterone, except HDL and FSH were low when comparing PCOS patients groups with healthy groups. There was a decrease in renin and ACE2 in PCOS women infected with COVID-19 compared with PCOS women non-infection with COVID-19. Infection of COVID-19 and low ACE2 levels lead to respiratory damage and problem in reproductive in PCOS patients. Also, at the same time ACE2 high level in PCOS makes them more risk for coronavirus and is not involved in the cause of PCOS, however renin enzyme may be affected by BMI associated with PCOS.
Beyond the Dams - Combatting Hydropower Over-reliance &amp; Securing Pathways for a Low-carbon Future for Laos' Electricity Sector using OSeMOSYS (Open-Source Energy Modelling System)
Authors: Wong Sebastian 
Published: April 2023

Abstract
Since the onset of the millennium, Laos has seen exponential growth in the past decades, becoming one of the fastest growing economies of the 21st century. Much of its success owes to its emerging position as ‘the battery of Southeast Asia’ through the exportation of mostly hydropower. While this has brought about almost-universal praise as the beacon of ‘sustainable development’, the detractors of this notion are not without merit. A growing amount of evidence demonstrates that if Laos continues hydropower expansion in its current trajectory, a multitude of implications can stand to disenfranchise the most marginalised in Laos and beyond. Alongside this predicament, much of the world is seeking to set a net-zero CO2 emissions by 2050 in order to avoid the most extreme consequences of the climate crisis.
This report seeks to draw up potential pathways to both pressing issues through utilising OSeMOSYS (Open-Source Energy Modelling System), a long-term energy system modelling tool, to create seven scenarios that would provide insight into what pathways there are for the Lao electricity sector to wean its hydropower dependency and still be low-carbon in different capacities.
The modelling output suggests that a low-carbon future not overly-reliant on hydropower is highly feasible and five policy recommendations have transpired through drawing on common themes and key insights of the modelling output. They include the prioritisation and promotion of non-hydro RE, most namely biomass as it serves to replace coal within Laos’ generation mix, the encouragement of small-scale electricity production, transmission and distribution grid improvements and the establishment of an independent power sector regulator. Further research is encouraged to reflect the dynamic changes within RE technology development and improved upon datasets in order for increased accuracy, as well as analysis on a whole energy system level.
Critically buried avalanche victims can develop severe hypothermia in less than 60 minutes
Authors: Rauch Simon , Kompatscher Julia , Clara Andreas , Öttl Iris , Strapazzon Giacomo , Kaufmann Marc 
Published: April 2023

Abstract
Background
A major challenge in the management of avalanche victims in cardiac arrest is differentiating hypothermic from non-hypothermic cardiac arrest, as management and prognosis differ. Duration of burial with a cutoff of 60 min is currently recommended by the resuscitation guidelines as a parameter to aid in this differentiation This, because the fastest cooling rate under the snow reported so far is 9.4°C per hour, suggesting that it would take >60 min to cool below 30°C, which is the temperature threshold below which a hypothermic cardiac arrest can occur.
Case presentation
We describe a case with a cooling rate of 14°C per hour, assessed on site with an oesophageal temperature probe. The patient was transported under continuous mechanical CPR to an ECLS facility and rewarmed with VA-ECMO, although his HOPE score was 3 % only. After three days he developed brain death and became an organ donor.
Conclusions
With this case we would like to underline three important aspects: first, whenever possible, core body temperature should be used instead of burial duration to make triage decisions. Second, the HOPE score, which is not well validated for avalanche victims, had a good discriminatory ability in our case. Third, although extracorporeal rewarming was futile for the patient, he donated his organs. Thus, even if the probability of survival of a hypothermic avalanche patient is low based on the HOPE score, ECLS should not be withheld by default and the possibility of organ donation should be considered.
The impact of Green Financial Policies on Carbon Emission Efficiency: Empirical Evidence from China
Authors: Lei Zhonghao , Wang Dongmei 
Published: April 2023

Abstract
Given the release of China's green financial policy, this paper constructs a quasi-natural experiment to investigate the impact of such policy on urban carbon emission efficiency and its impact mechanism. In 2016, seven ministries including the People's Bank of China jointly issued the Guidance on Building A Green Financial System, a milestone of the establishment of a more comprehensive green financial policy system in China. However, it is not a straight determinant of improved efficiency of carbon emissions. Based on the empirical panel data of 283 prefecture-level cities from 2011–2020, we adopted a DID model to examine the effect of green financial policies on urban carbon emission efficiency, where the treatment and control groups were divided according to their degrees of dependence on energy as influenced by green financial policies. The results indicated that green financial policies significantly and sustainably improved the carbon efficiency in these cities. Our mechanism further revealed that such improvement was achieved by technological innovation, accelerated industrial restructuring, and reduced energy consumption.
Uni-RXN: A Unified Framework Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation
Authors: Qiang Bo , Zhou Yiran , Ding Yuheng , Liu Ningfeng , Song Song , Zhang Liangren , Huang Bo , Liu Zhenming 
Published: April 2023

Abstract
Chemical reactions are the fundamental building blocks of drug design and organic chemistry research. In recent years, there has been a growing need for a large-scale deep-learning framework that can efficiently capture the basic rules of chemical reactions. In this paper, we have proposed a unified framework that addresses both the reaction representation learning and molecule generation tasks, which allows for a more holistic approach. Inspired by the organic chemistry mechanism, we develop a novel pretraining framework that enables us to incorporate inductive biases into the model. Our framework achieves state-of-the-art results on challenging downstream tasks. By possessing chemical knowledge, this framework can be applied to reaction-based generative models, overcoming the limitations of current molecule generation models that rely on a small number of reaction templates. In the extensive experiments, our model generates synthesizable drug-like structures of high quality. Overall, our work presents a significant step toward a large-scale deep-learning framework for a variety of reaction-based applications.
The impact of an e-newsletter or animated video to disseminate outdoor free-play information in relation to COVID-19 Guidelines in New South Wales Early Childhood Education and Care services: a randomised controlled trial
Authors: Reilly Kathryn , Jackson Jacklyn , Lum Melanie , Pearson Nicole , Lecathelinais Christophe , Wolfenden Luke , Turon Heidi , Yoong Sze Lin 
Published: April 2023

Abstract
Background: State-based Guidelines were issued for Early Childhood Education and Care (ECEC) services recommending greater time outdoors and inclusion of indoor-outdoor programs to facilitate social distancing to reduce spread of COVID-19. The aim of this 3-arm randomised controlled trial (RCT) was to examine the impact of different dissemination strategies on increasing ECEC service intentions to adopt recommendations from the Guidelines.
Methods: This was a post-intervention only RCT. A sample of eligible ECEC services in New South Wales (n=1026) were randomly allocated to one of three groups; i) e-newsletter resource; ii) animated video resource; or iii) control (standard email). The intervention was designed to address key determinants of guideline adoption including awareness and knowledge. Following delivery of the intervention in September 2021, services were invited to participate in an online or telephone survey from October-December 2021. The primary trial outcome was the proportion of services intending to adopt the Guidelines, defined as intention to; (i) offer an indoor-outdoor program for the full day; or (ii) offer more outdoor play time. Secondary outcomes included awareness, reach, knowledge and implementation of the Guidelines. Barriers to Guideline implementation, cost of the dissemination strategies and analytic data to measure fidelity of intervention delivery were also captured.
Results: Of the 154 services that provided post-intervention data, 58 received the e-newsletter (37.7%), 50 received the animated video (32.5%), and 46 received the control (29.9%). Services who received the animated video had nearly five times the odds (OR: 4.91 [1.03, 23.34] p=0.046) than those in the control group, to report having intentions to adopt the Guidelines. There were no statistically significant differences in awareness or knowledge of the Guidelines between either intervention or control services. Development costs were greatest for the animated video. The extent to which the dissemination strategy was viewed in full, were similar for both the e-newsletter and animated video.
Conclusion: This study found potential for the inclusion of interactive strategies to disseminate policy and guideline information within the ECEC setting, in the context of the need for rapid communication. Further research should explore the added benefits of embedding such strategies within a multi-strategy intervention.
Trial registration: Retrospectively registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) on the 23/02/2023 (ACTRN 12623000198628).
A Multilevel Analysis of the Triple Burden of Malnutrition in Indonesia: Trends and Determinants From Repeated Cross-Sectional Surveys
Authors: Andriani Helen , Friska Erlin , Arsyi Miftahul , Sutrisno Alphyyanto Eko , Waits Alexander , Rahmawati Nurul Dina 
Published: April 2023

Abstract
Background Although child malnutrition has been reducing, the coexistence in mothers and children of various forms of malnutrition has continued to rise around the world. In the Indonesian context, a knowledge gap exists on the coexistence of multiple malnutrition burdens. This study examines trends in the coexistence of the triple burden of malnutrition (TBM) among mother–child pairs living in the same house and explores multilevel (individual, household, and community) factors associated with TBM in Indonesia.Methods We used data from the 2013 and 2018 Indonesia Basic Health Research, the nationally representative survey of the Indonesian population, as repeated cross-sectional surveys. The anthropometric measurements of the mother–child pairs and the hemoglobin levels of the children were collected. We employed a multilevel mixed-effects model to consider the hierarchical data structure. The model captured the role of cluster, district, provincial differences, and the individual, household, community-level, and TBM status characteristics.Results Of 3,891 mother–child pairs analyzed, 24.9% experienced TBM. Girls had 63% higher odds than boys of TBM (aOR: 1.63; 95% CI: 1.30 to 2.03). Significantly lower odds were found in children of mothers who had a gestational age lower than 37 weeks (aOR: 0.72; 95% CI: 0.55 to 0.94). At the household level, children with a father who had a high-school, primary-school, or no school education had significantly higher odds of TBM than children of fathers who had graduated from academy. Children of mothers who visited Antenatal Care (ANC) no more than 6 times had significantly lower odds (aOR: 0.65; 95% CI: 0.47 to 0.88). Children of mothers who consumed Iron and Folic Acid (IFA) supplements had significantly lower odds.Conclusion TBM is related to characteristics at not just the individual level but also the family and community levels. To achieve significant outcomes, integrated nutrition interventions in Indonesia should also consider family and community factors.
Reciprocal regulation of forkhead box C1 and L1 cell adhesion molecule contributes to triple-negative breast cancer progression
Authors: Zhang Fan , Xu Yue , Lin Jiediao , Pan Hongchao , Cui Yukun 
Published: April 2023

Abstract
Purpose: Forkhead box C1 (FOXC1) may act as a therapeutic target for triple-negative breast cancer (TNBC) but without a comprehensive understanding of its regulations, especially at the upstream. L1 cell adhesion molecule (L1CAM) is a transmembrane glycoprotein that may involve in brain metastasis. Indicated by a positive correlation between FOXC1 and L1CAM transcripts, this study aims to further examine their relation in the process of TNBC.
Methods: FOXC1 and L1CAM transcripts were downloaded fromtwo public datasets, and their proteins were examined in four TNBC cell lines. FOXC1 and L1CAM were separately knocked down in BT549 cells; L1CAM was overexpressed in BT549-shFOXC1, MDA-MB-231, and HCC1937 cells. CCK-8, transwell and wound healing assays were conducted in these cells, so was immunohistochemical staining in tumors.
Results: L1CAM and FOXC1 transcripts were positively correlated in public datasets. BT549-shFOXC1 cells showed a decreased L1CAM expression both at the transcriptional and protein levels. Intriguingly, BT549-siL1CAM cells displayed decreased FOXC1 proteins, but exerted little effect on FOXC1 transcripts. Conversely, overexpression of L1CAM resulted in upregulation of FOXC1 protein without substantial change in FOXC1 mRNA, that consistently observedin BT549-shFOXC1, MDA-MB-231-L1CAM and HCC1937-L1CAM cells. Additionally, decreased or increased capacities of cell proliferation, migration, and invasion were seen along with down- or up-regulation of FOXC1 or L1CAM. Finally, a positive correlation between L1CAM and FOXC1 proteins was observed in human TNBC tumors.
Conclusion:FOXC1 and L1CAM display coregulation at the protein level but not mRNA level to positively affect cell proliferation, migration and invasion in TNBC.
Quantifying digital health inequality across a national healthcare system
Authors: Zhang Joe , Gallifant Jack , Pierce Robin , Teo James , Celi Leo , Ashrafian Hutan 
Published: April 2023

Abstract

Differential digital health uptake at population level is not well-understood. Deployment of universal digital health interventions, including a national smartphone app and online primary care services, allows measurement of digital inequality across a nation. We analysed data for 6356 primary care providers across England, testing association of population characteristics with digital uptake during 2021/2022. We find association between deprivation and reduced uptake, concerning for technologically driven widening of healthcare inequalities.
Iodide Manipulation Using Zinc Additives for Efficient Perovskite Solar Minimodules
Authors: Huang Jinsong , Uddin Md Aslam , Rana Prem Jyoti Singh , Ni Zhenyi , Yang Guang , Li Mingze , Wang Mengru , Gu Hangyu , Zhang Hengkai , Dou Benjia Dak 
Published: April 2023

Abstract
Interstitial iodides are the most important type of defects in perovskite solar cells that limits efficiency and stability. They can be generated during solution, film, and device processing and further accelerate device degradation. Herein, we find that introducing a small amount of an organozinc compound- zinc trifluoromethanesulfinate (Zn(OOSCF3)2) in the perovskite solution can control the iodide defects in resultant perovskites ink and films. CF3SOŌ vigorously suppresses molecular iodine formation in the perovskites by reducing it to iodide, while zinc cations can precipitate out excess iodide by forming a Zn-Amine complex so that the iodide interstitials in the resultant perovskite films can be suppressed. The perovskite films using these additives show improved photoluminescence quantum efficiency and reduce deep trap density, despite that zinc cations reduce the perovskite grain size and iodide interstitials. The zinc additives facilitate the formation of more uniform perovskite films on large-area substrates (78-108 cm2) in the blade-coating process. Fabricated minimodules show power conversion efficiencies of 19.60% and 19.21% with aperture areas of 84 and 108 cm2, respectively, as certified by National Renewable Energy Laboratory (NREL), the highest efficiency certified for minimodules of these sizes.
A Cellular Senescence-Related Signature Predicts Cervical Cancer Patient Outcome and Immunotherapy Sensitivity
Authors: Shao Huijing , Li Xia , Wu Pengfei , Chen Zixi , Zhang Caihong , Gu Hang 
Published: April 2023

Abstract
Cervical cancer (CC) is among the most prevalent gynaecological malignancy. The rate of mortality and morbidity of patients with CC is high. Cellular senescence is involved in tumorigenesis as well as cancer progression. However, the involvement of cellular senescence in CC development is still unclear and requires further investigation. We retrieved data on cellular senescence-related genes (CSRGs) from the “CellAge” Database. We used TCGA-CESC and the CGCI-HTMCP-CC datasets as the training and validation sets, respectively. Eight CSRGs signatures based on the data extracted from these sets were constructed using “univariate” and “Least Absolute Shrinkage and Selection Operator Cox regression analyses”. Using this model, we calculated the risk scores of all patients in the training and validation cohort and categorised these patients into the low-risk group (LR-G) and the high-risk group (HR-G). Finally, compared to patients in the HR-G, CC patients in the LR-G demonstrated a more positive clinical prognosis; the expression of senescence-associated secretory phenotype (SASP) markers and immune cell infiltration was higher, and these patients had more active immune responses. In vitro studies showed increased SERPINE1 and IL-1α ((genes included in the signature) expression in CC cells and tissues. The eight-gene prognostic signatures could modulate the expression of SASP factors and the tumour immune micro-environment (TIME). It could be used as a reliable biomarker for predicting the patient’s prognosis and response to immunotherapy in CC.
Increases in Negative Affective Arousal Precede Lower Self-Esteem in Patients with Borderline Personality Disorder but not in Patients with Depressive Disorders: An Experience Sampling Approach
Authors: Heekerens Johannes Bodo , Schulze Lars , Enge Juliane , Renneberg Babette , Roepke Stefan 
Published: April 2023

Abstract

Background: Instability in self-esteem and instability in affect are core features of borderline personality disorder (BPD). For decades, researchers and theorists have been interested in the temporal dynamics between these constructs. Some hypothesize that changes in affective states should precede changes in self-esteem (Linehan, 1993), while others suggest that changes in self-esteem should precede changes in affective states (Kernberg, 1975).
Methods: In this study, we investigated the temporal relations between negative affective arousal states and current self-esteem in daily life. Patients with BPD (n = 42) or depressive disorders (DD; n = 40), and non-clinical controls (NCC; n = 40) were assessed every 15 min for 13 hours.
Results: As expected, dynamic structural equation modeling showed higher levels of average daily negative affective arousal and lower levels of average daily self-esteem in the BPD group compared with the NCC group, and scores in the DD group were in-between the BPD and the NCC groups. In line with predictions based on Linehan`s (1993) model of affective dysregulation in BPD, negative affective arousal (t) and subsequent self-esteem (t+1) were significantly linked only in the BPD group, implying that higher negative affective arousal is followed by lower current self-esteem in the next measurement (ca. 15 min later). Importantly, self-esteem (t) and subsequent negative affective arousal (t+1) were not significantly related (Kernberg, 1975).
Conclusions:Our findings suggest close dynamic temporal relations between affective instability and self-esteem instability in BPD, which highlights the importance of providing patients with means to effectively modulate high negative affective arousal states.
Sleep Duration and Amyloid β Among Cognitively Healthy Later-Life Adults: A Systematic Review and Meta-Analysis
Authors: Moon Chooza , Schneiner Aaron , Cho Young Eun , Zhang Meina , Dang Hellen , Vu Kelly 
Published: April 2023

Abstract

Background Amyloid β (Aβ) is a hallmark of Alzheimer’s disease (AD). Insufficient sleep duration and poor sleep quality have been found to be a risk factor of developing AD because sleep may involve regulating Aβ. However, the magnitude of the relationship between sleep duration and Aβ is still unclear. This systematic review examines the relationship between sleep duration and Aβ in later-life adults.Methods We screened 5,005 published articles searched from relevant electronic databases (i.e., PubMed, CINAHL, Embase, and PsycINFO) and reviewed 14 articles for the qualitative synthesis and 7 articles for the quantitative synthesis.Results Mean ages of the samples ranged from 63 to 76. Studies measured Aβ using cerebrospinal fluid, serum, and positron emission tomography scans with two tracers: Carbone 11-labeled Pittsburgh compound B or fluorine 18–labeled. Sleep duration was subjectively measured using interviews, questionnaires, or using objective measures such as polysomnography or actigraphy. The studies accounted for demographic and lifestyle factors in their analyses. Five of the 14 studies reported a statistically significant association between sleep duration and Aβ. Using seven eligible articles, our quantitative synthesis demonstrated that the average association between sleep duration and Aβ was not statistically significant (Fisher’s Z = -0.006, 95% CI= -0.065 ~ 0.054).Conclusion This review suggests that caution should be taken when considering sleep duration as the primary factor for Aβ levels. More studies are needed using a longitudinal design, comprehensive sleep metrics, and larger sample sizes to advance our understanding of the optimal sleep duration and AD prevention.