bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reducing LGBTQ+ adolescent mental health inequalities: A realist review of school-based interventions
Authors: McDermott Elizabeth , Kaley Alex , Kaner Eileen , Limmer Mark , McGovern Ruth , McNulty Felix , Nelson Rosie , Geijer-Simpson Emma , Spencer Liam 
Published: February 2022

Abstract
Background: Globally, research indicates that LGBTQ+ young people have elevated rates of poor mental health in comparison to their cisgender heterosexual peers. School environment is a key risk factor and is consistently associated with negative mental health outcomes for LGBTQ+ adolescents, suggesting a need to intervene to affect change within the school environment. The aim of this review was to examine how, why, for whom and in what context school-based interventions prevent or reduce mental health problems in LGBTQ+ adolescents?Method: A realist review was conducted utilizing the seven-step published protocol (1, 2). The review focused on all types of school-based interventions that impacted on LGBTQ+ adolescent mental health. All study designs were included. The search strategy involved comprehensive electronic database searches and additional complementary search strategies (hand searching, citation tracking). Studies were subject to an inclusion criteria and quality appraisal. Those included in the review where subject to data extraction under defined fields of context, mechanism and outcome and synthesized to produce a programme theory.Results: In total, 4,911 titles and abstracts were screened, and 125 full papers reviewed, with 17 studies included in the final review. The review found 8 intervention components were necessary for school-based interventions to address LGBTQ+ pupil’s mental health: affirmative visual displays; external signposting to LGBTQ+ support; stand-alone input; school-based LGBTQ support groups; curriculum-based delivery; staff training; inclusion policies; trusted adult to talk to. Explaining how an intervention worked is complex and the programme theory developed emphasises the multiple causal pathways (e.g., psychological, behavioural, emotional, environmental, social) that operate to reduce poor mental health.Conclusions: We identified relatively few school-based interventions for this population group. The developed programme theory indicates that ‘to work’ school-based interventions must have a ‘whole-school’ approach that addresses specifically the dominant cis-heteronormative school environment and hence the marginalisation, silence, and victimization that LGBTQ+ pupils experience. We require more research on school interventions to reduce the inequalities in mental health in LGBTQ+ youth. We need to understand the underlying mechanisms that produce this inequality to design successful school public mental health interventions.
Probenecid Inhibits Respiratory Syncytial Virus (RSV) Replication
Authors: Murray Jackelyn , Bergeron Harrison C. , Jones Les P. , Chapman Taylor , Reener Z. Beau , Martin David E. , Sancilio Fred D. , Tripp Ralph A. 
Published: February 2022

Abstract

RNA viruses like SARS-CoV-2, influenza virus, and respiratory syncytial virus (RSV) are dependent on host genes for replication. We investigated if probenecid prophylaxis or treatment inhibited RSV replication in three epithelial cell lines used in RSV studies, i.e., Vero E6 cells, HEp-2 cells, and in primary normal human bronchoepithelial (NHBE) cells, and in BALB/c mice. The studies showed that nanomolar concentrations of all probenecid regimens prevent RSV strain A and RSV B replication in vitro and RSV strain A in vivo, representing a potential prophylactic and chemotherapeutic for RSV.
Specific activation of embryonic IFNAR1 and endometrial IFNAR2 induced by embryonic IFNτ directs normal uterine fate for bovine early implantation
Authors: Guo Yong , Wang Xiangguo , Chen Chaolei , Wang Lijuan , Su Yunze , Li Boyu , Xiao Longfei , Lin Zili , Sheng Xihui , Qi Xiaolong , Ni Hemin 
Published: February 2022

Abstract
Background: Interferon-tau (IFNτ), as an antiluteolytic factor secreted by trophoderm during the pregnancy of ruminants, actually functions by activating the IFNτ receptor 1 (IFNAR1) and IFNτ receptor 2 (IFNAR2). However, it has not been clearly understood how IFNτ-IFNAR cascade regulation processes between the embryo and uterine epithelial cells in ruminants. Methods: CRISPR/Cas9 technology was used to compare the differences of IFNτ secretion in In vitro fertilization(IVF), parthenogenetic activation(PA) and somatic cell nuclear transfer (SCNT) and their in vitro co-culture effect with uterine endometrial epithelial cell with those in vivo ones in this study.Results: In this study, we found the expression and location of IFNτ in the blastocysts from different sources. IFNτ, IFNAR1 and IFNAR2 were all located in the trophoblast cells of the blastocyst. However, the fluorescence intensity of IFNAR1 was consistent with that of IFNτ. Antagonizing the expressions of IFNAR1 and IFNAR2 in embryos and co-culture with EEC reduced the expressions of Integrin αv β3, WNT7A, and ISG15 in EECs. Knocking out IFNAR1 and IFNAR2 reduce the expressions of Integrin αv β3 and WNT7A in EECs, the deletion of IFNAR2 gene has a greater impact than that of IFNAR1 gene. IFNAR1-/IFNAR2+ and IFNAR1+/IFNAR2- EECs were co-cultured with IVF embryos, the expression of Integrin αv β3 was inhibited, and the inhibition of IFNAR1+/IFNAR2- was much stronger, and the expression of WNT7A was not inhibited. The expressions of Integrin αv β3 and WNT7A did not change significantly after IFNAR1-/IFNAR2+ and IFNAR1+/IFNAR2- co-culture with PA embryos. Conclusions: All of these results strongly suggest that specific activation of embryonic IFNAR1 and endometrial IFNAR2 induced by embryonic IFNτ directs normal uterine preparation for bovine early implantation.
Emerging role of circANRIL expression in peripheral blood mononuclear cells as a promising liquid biopsy diagnostic biomarker for coronary artery disease
Authors: Akan Gokce , Nyawawa Evarist , Nyangasa Bashir , Turkcan Mehmet Kerem , Mbugi Erasto , Janabi Mohammed , Atalar Fatmahan 
Published: February 2022

Abstract
Background: Long-non-coding RNAs (lncRNAs) are increasingly recognized to play major roles in coronary artery disease (CAD). ANRIL, a well-known lncRNA is located on the 9p21.3 locus which is the first reported CAD risk locus. This study aimed to evaluate the association of ANRIL and its transcript variants expressions with susceptibility to CAD as well as to investigate the impact of 9p21.3 locus single nucleotid polymorphisms (SNPs) on their expressions in adipose tissues and peripheral blood mononuclear cells (PBMCs) of Tanzanian study cohort.Methods: Expressions of ANRIL, and its variants; circANRIL (hsa_circ_0008574), NR003529, EU741058 and DQ485454 were detected by qRT-PCR in visceral adipose tissues (VAT) (epicardial adipose tissue (EAT) and mediastinal adipose tissue(MAT)), subcutaneous adipose tissue (SAT) and PBMCs of patients undergoing coronary artery bypass grafting due to CAD and non-CAD patients undergoing heart valve surgery. Five SNPs encompassing the 9p21.3 risk locus were genotyped in a cohort of 200 CAD patients an 220 non-CAD patients using qRT-PCR and their impact on gene expressions were further evaluated.Results: ANRIL expression was significantly up-regulated, while the expression of circANRIL significantly down-regulated in CAD patients compared to non-CAD patients. Also, increased circANRIL expression was determined to be significantly inversely associated with the severity of CAD. Moreover, rs10757278 and rs10811656 polymorphisms were significantly associated with expressions of ANRIL, EU741058, NR003529 and circANRIL in VAT and PBMCs. Decreased circANRIL levels were correlated with aggressive clinical characteristics. Moreover, the random forest model was evaluated to feature importance of CAD prediction. Accordingly, the receiver operating characteristics(ROC) curve analysis was evaluated and the result suggested that circANRIL has high diagnostic accuracy. The area under the ROC curve (AUC) was 0.9808, the optimal cut‐off value was 0.33, with a sensitivity of 1.0 and a specificity of 0.88.Conclusion: We report the first data demonstating the presence of, ANRIL and its transcript variants expressions in adipose tissues and PBMCs of CAD patients and the strong association between ANRIL expression and CAD. circANRIL having a synergetic effect with ANRIL plays a protective role in CAD pathogenesis. Therefore, altered circANRIL expression may become a potential diagnostic biomarker for early CAD diagnosis in Tanzania.
Enterprises Providing ICT Training in Europe
Authors: Laureti Lucio , Costantiello Alberto , Matarrese Marco Maria , Leogrande Angelo 
Published: February 2022

Abstract

The determinants of enterprises providing ICT training in Europe are analyzed in this article. Data are collected from the European Innovation Scoreboard-EIS of the European Commission for 36 European countries in the period 2000-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, Dynamic Panel, WLS and Pooled OLS. Results show that the number of enterprises providing ICT training in Europe is positively associate with “Innovation Index”, “Innovators”, “New Doctorate Graduates”, “Tertiary Education” and negatively associated with “Government Procurement of Advanced Technology Products”, “Human Resources”, and “Marketing or Organisational Innovators”. In adjunct a cluster analysis is performed by using k-Means algorithm optimized with the Silhouette Coefficient and we find the presence of four clusters. Finally, we use eight different machine learning algorithms to predict the value of the enterprises providing ICT training in Europe. We found that the Simple Tree Regression is the best predictor and that the number of enterprises providing ICT training in Europe is expected to growth of the 5,02%.
Reduction of motorcycle-related deaths over 15 years in a developing country
Authors: Yasin Yasin J. , Eid Hani O. , Alao David O , Grivna Michal , Abu-Zidan Fikri M 
Published: February 2022

Abstract
Background: There have been major improvements in the trauma system and injury prevention in Al-Ain City. We aimed to study the impact of these changes on the incidence, pattern, injury severity, and outcome of hospitalized motorcycle-related injured patients in Al-Ain City, United Arab Emirates. Methods: This is a retrospective analysis of two separate periods of prospectively collected data which were retrieved from Al-Ain Hospital Trauma Registry (March 2003 to March 2006 compared with January 2014 to December 2017). All motorcycle injured patients who were admitted to Al-Ain Hospital for more than 24 hours or died in the Emergency Department or after hospitalization were studied. Results: The incidence of motorcycle injuries dropped by 37.1% over the studied period. The location of injury was significantly different between the two periods (p = 0.02, Fisher's Exact test), with fewer injuries occurring at streets/highways in the second period (69.1% compared with 85.3%). The anatomical injury severity of the head significantly increased over time (p = 0.03), while GCS on arrival significantly improved (p < 0.0001), indicating improvements in the prehospital care. The mortality of the patients significantly decreased (0% compared with 6%, p = 0.002, Fisher's Exact test). Conclusions: The incidence of motorcycle injuries in our city dropped by almost 40% over the last 15 years. There was a significant reduction in the mortality of hospitalized motorcycle injured patients despite increased anatomical severity of the head injuries. This is attributed to improvements in the trauma care system, including injury prevention and prehospital care.
Spatial–temporal distribution and forecasting model of precipitation using dynamic-statistical information fusion
Authors: Zhao Jun , Xu Jinchao , Wang Guoqing , Jin Juliang , Hu Xiaojie , Guo Yan , Li Xuechun 
Published: February 2022

Abstract
In order to explore the evolvement mechanism of hydrometeorological elements, spatial–temporal distribution of precipitation in the Huai river basin is studied by statistical drawing and empirical orthogonal function decomposition. How to make an objective combination for the predictive results of precipitation? Information fusion in data assimilation is introduced to merge the improved National Centers for Environmental Prediction coupled forecast system model version 2 (CFSv2) with the multilinear regression model. Firstly, in terms of time, the annual precipitation is apt to decline at most stations within 30 years, and precipitation mainly concentrates in the flood season. The characteristics of spatial distribution are similar to topographic features. It can also be found that precipitation gradually decreases from south to north. Secondly, from statistical forecasting, the relationship between precipitation and global sea surface temperature (SST) is explored. Prediction equation is established with SST and the average precipitation. Thirdly, from dynamic model forecasting, the CFSv2 original model and the CFSv2 statistical downscaling model are used to analyze the influence of model deviation on fusion prediction. The optimum interpolation assimilation method is applied for realizing the optimal integration of statistical and dynamic model prediction. Finally, the standardized precipitation index (SPI) is calculated by the combined forecasting of annual precipitation to evaluate drought conditions. The results show that SST is an important factor affecting precipitation, which may be applied as a forecasting direction with other factors. The merged precipitation prediction skill by the CFSv2 original model and the statistical model do not have the great promotion, which is still lower than the prediction skill only by the statistical model. However, the merged precipitation prediction skill by the CFSv2 statistical downscaling model and the statistical model is better than the prediction skills by the two models mentioned above, respectively. These indicate that when the prediction difference between the models is large, the merged prediction error cannot be minimized. When the prediction skill levels are equal, there is an improvement in the merged result. So, it is necessary to revise the climate dynamic model by downscaling. What is more, the obtained drought levels match the actual disaster conditions, providing theoretical support of hydrology and meteorology for the prevention of natural disasters.
Information Power and Russia’s National Security Objectives
Authors: Riehle Kevin P. 
Published: February 2022

Russia’s operations in the information domain are an integral part of Russia’s interactions in the international environment. As one of Russia’s levers of national power, information operations work in concert with all other levers of national power to achieve a defined list of Russia’s national security objectives. Judging from pronouncements, policies, doctrine, and actions, it appears that Russia’s objectives are: 1) Protect the Putin regime; 2) Control the post-Soviet space; 3) Counterweigh the unipolar actor in the world; 4) Portray Russia as an indispensable player in world affairs; and 5) Divide and disrupt the North Atlantic Treaty Organization (NATO) and the European Union (EU). Russian information operations can be traced through information themes directly to those Russian national security objectives. Some themes can address multiple objectives simultaneously, and the methods for communication can differ based on the target. However, Russian information operations are not standalone activities but work in concert with all other levers of national power to achieve Russia’s overarching objectives.
Efficacy of a Web-Based Intervention for Depressive Disorders: Three-Arm Randomized Controlled Trial Comparing Guided and Unguided Self-Help With Waitlist Control
Authors: Krämer Rico , Köhne-Volland Lea , Schumacher Anna , Köhler Stephan 
Published: February 2022

Background
Digital health apps are efficacious treatment options for mild-to-moderate depressive disorders. However, the extent to which psychological guidance increases the efficacy of these apps is controversial.

Objective
We evaluated the efficacy of a web-based intervention, called Selfapy, for unipolar depression. We also investigated differences between psychotherapist-guided and unguided versions.

Methods
Selfapy is a cognitive behavioral therapy–based intervention for depressive disorders. Participants with mild-to-severe depressive disorders were assigned randomly to participate in either guided (weekly 25-minute duration telephone calls) intervention, unguided version, or waiting list (control group) for 12 weeks. We assessed depressive symptoms at the start of the study, midway through the intervention (6 weeks), at the end of the intervention (12 weeks), and at follow-up (6 months). The main outcome was difference in the Beck Depression Inventory score between the start of the study and the end of the intervention. Secondary outcomes were the Quick Inventory of Depressive Symptomatology—Self Report, the Hamilton Rating Depression Scale, and the Beck Anxiety Inventory.

Results
Of 401 participants, 301 participants (75.1%) completed the intervention. Changes in the Beck Depression Inventory from baseline differed significantly between groups at the postintervention (F2,398=37.20, P<.001). The reductions in scores for both guided and unguided intervention groups were greater than that for the control group, with large between-group effect sizes (guided vs control: d=1.63, 95% CI 1.37 to 1.93; unguided vs control: d=1.47, 95% CI 1.22 to 1.73) at postintervention. No significant differences were found between guided and unguided intervention groups (P=.18). At follow-up (6 months), treatment effects on the primary outcome were maintained for both intervention groups (guided: F1,194=0.62, P>.999; unguided: F1,176=0.13, P>.999).

Conclusions
Both guided and unguided versions of the intervention were highly effective in reducing depressive symptoms. Follow-up data suggest that these effects could be maintained. The guided version was not superior to the unguided version.

Trial Registration
German Clinical Trials Register DRKS00017191; https://tinyurl.com/2p9h5hnx

International Registered Report Identifier (IRRID)
RR2-10.1186/s13063-021-05218-4
The Effect of Sinergic Transformational Leaders, Academic Culture On The Sustainability Organization Performance of University Lecturer in Indonesia of the Corona Virus (Covid-19) Era
Authors: Saragih Lisnatiawati , Salim M Noor , Chan Syafrizal , Nurhayati Mafizatun 
Published: February 2022

The study aims to determine and analyze the effect of transformational leaders, academic culture on of the Sustainability Organization Performance of University Lecturers in Indonesia of the Corona Virus (Covid-19) era. This study use quantitative research method with survey technique to respond the test hypotheses that have been formulated. The respondents are 150 lecturers, the sampling technique used was cluster random sampling technique. The instrument of transformational leader, academic lecture and Sustainability Organization Performance were validated with the product moment correlation, while reliability was measured by the Alpha Cronbach. Hypothesis testing using path analysis. The results of data analysis using path analysis, showed that, (1) there is the effect of direct transformational leaders on the lecturers Sustainability Organization Performance , (2) there is the effect of direct academic culture on the lecturers Sustainability Organization Performance , and (3) there is the effect of direct sinergic transformational leaders on the lecturers academic culture. Implications of research efforts to bring down the lecturers Sustainability organization Performance , the effectiveness of sinergic transformational leaders must be increased, the improve the effectivity of academic culture. Keyword: Sinergic Transformational Leaders, Academic Culture On The Sustainability Organization Performance
Studi Eksploratif Dampak Pandemi Covid-19 Terhadap Kegiatan dan Operasional di KSP Sejahtera Bersama Cabang Serang
Authors: Permana Angrian , Puspa Rani , Widyanty Winda 
Published: February 2022

Tujuan dari penelitian ini adalah untuk mendapatkan informasi terkait kendala yang dihadapi oleh KSP Sejahtera Bersama Cabang Serang akibat dari adanya pandemic Covid-19. Penelitian ini menggunakan metode eksplorasi dengan pendekatan ilmiah menggunakan metode studi kasus kualitatif yang digunakan untuk mendapatkan informasi kendala kinerja yang diakibatkan oleh pandemic Covid-19. Penelitian ini menggunakan responden sebanyak lima orang yang terdiri dari tenaga penyuluh koperasi, anggota koperasi, dan staf administrasi. Responden dalam penelitian ini menggunakan inisial R1, R2, R3, R4, dan R5 dengan maksud menjaga kerahasiaan. Wawancara dilakukan dengan cara semi-terstruktur yang dilakukan dengan perntanyaan yang sudah disiapkan berdasarkan literature terkait. Hasil penelitian ini yaitu terdapat kendala yang dialami oleh anggota, staff, dan penyuluh koperasi yang disebabkan oleh terganggunya likuiditas dan proses Penundaan Kewajiban Pembayaran Utang (PKPU) yang dialami oleh Koperasi Sejahtera Bersama. Kata kunci: Kinerja Koperasi, anggota koperasi, staff operasional, penyuluh koperasi, pandemic covid-19, studi eksploratif
Avoiding Mistakes in Drone Usage in Participatory Mapping: Methodological Considerations during the Pandemic
Authors: Naufal Naufal , Asriadi Andi , Absar Sutrisno 
Published: February 2022

Participatory mapping has continued to evolve with the onset of new methodologies and technology. Conventional methods for sketching have now expanded to incorporate the use of drone imagery and other sophisticated mapping approaches as a base map. However, the use of ultra-high resolution drone imagery does not mean that it will facilitate more participatory processes nor improve the quality of data and uses of information. Indeed, it has long been known that ultra-high spatial resolution can cause misinterpretation. During COVID-19, innovations are emerging to apply more remote technologies in participatory mapping. Mobility concerns, requirements, and preferences for physical distancing discourages active participation of local communities and are especially complex in contexts involving Indigenous People. This paper specifically explores the mistakes that can arise from over-reliance on employing drones as a tool in participatory mapping methods. This paper is based on a case study of participatory mapping conducted at 43 villages (around forest area) of Central Sulawesi Province and West Sulawesi Province. The participatory mapping was carried out by the Sulawesi Community Foundation (SCF) from 2019-2021. The result of the study found at least six signs of potentially negative outcomes from the use of ultra-high resolution drone imagery, starting from disorientation, misperception over the periods of drone acquisition, homogeneous land cover conditions, similar types of plants, numerous signs of nature, and labeling affixed on map. We also encourage the development of ultra-high-resolution drone imagery to take place under certain conditions and see its role as an interpretation dictionary or as a targeted tool in local contexts. In addition, we found that the level of active participation in participatory mapping during the Pandemic was higher than before the pandemic but requires some improvisations in meeting design