bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of dialectic behavior therapy and assertiveness training on mental health of socially stressed senior secondary students
Authors: Kienka Rita 
Published: March 2023

Social stress from substance abuse is common and worrisome, especially among adolescents. Therefore, this study examined “Dialectical Behavior Therapy and Assertiveness Training” in the management of mental health problems of high school seniors who abuse substances. In the resADDREearch, quasi-experimental pre-test and post-test design were used. The research was conducted with 75 students using the multi-stage sampling method. Tools used to collect data are Car, Relax, Alone, Forget, Family/Friend Issue, Warwick Edinburgh Mental Well-Being Scale, and Social Phobia Inventory. Two research questions were raised, and two research hypotheses were tested at the 0.05 significance level. The findings revealed that there was a significant difference in the psychosocial problems of adolescents in high school seniors as a result of the interventions, but dialectical behavioral Therapy had a greater effect in reducing adolescents’ social stress, although both treatments had significant effects. Based on the findings, it was recommended that assertiveness education be added to the secondary school curriculum to reduce the incidence of substance abuse.
Keywords: Mental health, substance abuse, dialectic behavior therapy, assertiveness training.
The Dynamics of Congressional Committees in Budget Legislation and Its Impact to Philippine Economic Development
Authors: Capiral Arvin Karl Demillo 
Published: March 2023

This research examines the dynamics of the 17th congress in the budget legislation process and posts an argument regarding its impact on Philippine economic development using a qualitative research design. The researchers use theoretical debate and literature study to identify the political motivations that affect the Congressmen in the approval of the budget, namely: self-interest, political clientelism, and political interference. An online interview was conducted with the selected key informants to know the significance of each factor in congress's decision-making regarding the budget's approval. The results indicate that self-interest, political clientelism, political interference, and the executive department significantly influence the congressional committees on the budget legislation process. This article concludes that the effectiveness of lawmakers' roles in managing the economy correlates with the majority of representation held by the government's ruling party, as in the case of the 17th congress.
Keywords: Budget Legislation, General Appropriations Act (GAA), Political Clientelism, Philippine Congress
Using an Inventory of Unstable Slopes to Prioritize Probabilistic Rockfall Modeling and Acid-Base Accounting in Great Smoky Mountains National Park
Authors: O'Shea Thomas , Farmer Samantha , Nandi Arpita , Bilderback Eric , Luffman Ingrid , Joyner Andrew 
Published: March 2023

Abstract
An important first step in the geotechnical asset management of Great Smoky Mountains National Park (GRSM) is the creation of an unstable slope inventory along major transportation corridors. Slope-stability problems are frequent in GRSM, often initiated in highly weathered and fractured metasedimentary rocks. In this study, an unstable slope inventory was created using the Unstable Slope Management Program for Federal Land Management Agencies protocols. Hazards and risks were evaluated for 285 unstable slopes along 243.67 km of roadway. Kernel density estimation was used to identify unstable slope hotspots and establish 14 sites for site-specific investigations to evaluate potential impacts of discrete unstable slopes along major roadways. Two-dimensional probabilistic rockfall simulations and acid-base accounting tests were used to predict rockfall pathways and evaluate the acid-producing potential of rocks. Simulations indicated that rock material would likely enter the roadway at all 14 sites. Acid-base accounting test results indicated that slaty rocks of the Anakeesta Formation and graphitic schist of the Wehutty Formation are primary acid-producing rocks in rockfall-prone areas. This research illustrates an approach for prioritizing areas for site-specific investigations towards the goal of improving safety in GRSM, including developing mitigation strategies for rockfall by widening ditches, installing barriers, and encapsulating acidic rockfall material.
Addressing Discrimination and Violence against Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ) persons from Brazil: A mobile Health intervention
Authors: Malta Monica , Silva Angelica Baptista , Silva Cosme Marcelo Furtado , LeGrand Sara , Seixas Michele , Benevides Bruna , Kalume Clarisse , Whetten Kathryn 
Published: March 2023

Abstract
Background
Sexual and gender minorities (SGM) experience higher rates of discrimination and violence when compared to cis, heterosexual peers. However, violent crimes and other hate incidents against SGM persons are consistently not reported and prosecuted because of chronic distrust between the SGM community and police. Brazil is one of the most dangerous countries for SGM persons in the world. Herein we describe the development of a mobile health intervention to address the rampant violence against this population, the Rainbow Resistance - Dandarah app.
Methods
We conducted community-based participatory research (CBPR) between 2019-2020. The study started with in-depth interviews (IDIs) and focus group discussions (FGDs) with representatives of the SGM community from Brazil. Descriptive qualitative data analysis included the plotting of a ‘word cloud’, to visually represent word frequency, data coding and analysis of more frequent themes related to app acceptability, usability, and feasibility. A sub-sample of SGM tested the app and suggested improvements, and the final version was launched in December 2019.
Results
Since the app was launched in December 2019, the app recorded 4,114 active SGM users. Most participants are cisgender men (50.9%), self-identified as gay (43.5%), White (47.3%), and aged 29 or less (60.9%). FGDs and IDIs participants discussed the importance of the app in the context of widespread violence toward SGM persons. Study participants perceived this mHealth strategy as an important, effective, and accessible strategy for SGM surviving violence. The CBPR design was highlighted as a key strategy that allowed SGM persons to collaborate in the design of this intervention actively. Some users reported how the panic button saved their lives during violent attacks.
Conclusions
Rainbow Resistance - Dandarah app was endorsed as a powerful tool for enhancing reporting episodes of violence/discrimination against SGM persons and a key strategy to connect users with a safe network of supportive services. Results indicate that the app is an engaging, acceptable, and potentially effective mHealth intervention. Participants reported many advantages of using it, such as being able to report harassment and violence, connect with a safe network and receive immediate support.
A combined clinical and specific genes’ model to predict live birth for in vitro fertilization and embryo transfer patients
Authors: Meng Shihui , Shi Cheng , Jia Yingying , Fu Min , Zhang Tianzhen , Wu Na , Han Hongjing , Shen Huan 
Published: March 2023

Abstract
Background: We aimed to develop an accurate model to predict live birth for patients receiving in vitro fertilization and embryo transfer (IVF-ET) treatment.
Methods: This is a prospective nested case-control study. Women aged between 18 and 38 years, whose body mass index (BMI) were between the range of 18.5–24 kg/m2, who had an endometrium of ≥8 mm at the thickest were enrolled. All patients received IVF-ET treatment and were followed up until they had reproductive outcomes. Endometrial samples during the window of implantation (LH+ 6 to 9 days) were subjected to analyze specific endometrial receptivity genes’ expression using real-time PCR (RT-PCR). Patients were divided into live birth group and non-live birth group based on IVF-ET outcomes. Clinical signatures relevant to live birth were collected, analyzed, and used to establish a predictive model for live birth by univariate analysis (clinical model). Specific endometrial receptivity genes’ expression was analyzed, selected, and used to construct a predictive model for live birth by The Least Absolute Shrinkage and Selection Operator (LASSO) analysis (gene model). Finally, significant clinical factors and genes were used to construct a combined model for predicting live birth using multivariate logistical regression (combined model). Different models’ Area Under Curve (AUC) were compared to identify the most predictive model.
Results: Thirty-nine patients were enrolled in the study, twenty-four patients had live births, fifteen did not. In univariate analysis, the odds of live birth for women with ovulation dysfunction was 4 times higher than that for women with other IVF-ET indications (OR=4.0, 95% CI: 1.125−8.910, P=0.018). Age, body mass index, duration of infertility, primary infertility, repeated implantation failure, antral follicle counting, ovarian sensitivity index, anti-Mullerian hormone, controlled ovarian hyperstimulation protocol and duration, total dose of FSH/hMG, number of oocytes retrieved, regiment of endometrial preparation, endometrium thickness before embryo transfer, type of embryo transferred were not associated with live birth (P>0.05). Only ovulation dysfunction was used to construct the clinical model and its AUC was 0.688. In lasso analysis, GAST, GPX3, THBS2 were found to promote the risk of live birth. AUCs for GAST, GPX3, THBS2 reached to 0.736, 0.672, and 0.678, respectively. The gene model was established based on these three genes and its AUC was 0.772. Ovulation dysfunction, GAST, GPX3, and THBS2 were finally used to construct the combined model, reaching the highest AUC (AUC=0.842).
Conclusions: Compared to the single model, the combined clinical (Ovulation dysfunction) and specific genes’(GAST, GPX3, THBS2) model was more accurate to predict live birth for IVF-ET patients.
CO2 over a coastal urban location and its forcing
Authors: Nair Sandhya K , MS MADHUSOODANAN 
Published: March 2023

Abstract
Recognizing the role of Carbon dioxide (CO2) in altering climate research and air pollution, direct measurements carried out over a coastal urban station using Li-COR CO2/H2O analyser. The objective of the present study is to examine CO2 variability during December-March. Day-to-day variability of CO2 ranges from 380-550 ppm with a mean (423.1) and standard deviation (29.2). Monthly mean diurnal variability of CO2 is maximum during midnight to early morning hours and minimum during afternoon. Overall diurnal variation is similar during the entire months. The link between CO2 concentrations with Wind speed (WS), Atmospheric temperature (T) is examined. Wind speed varies inversely with CO2. Atmospheric temperature shows an exponentially decaying relation with CO2. The diurnal CO2 variability is associated with the competing source/sink mechanisms. The CO2 forcing is estimated and varies from 0.75 to 3.5 Wm-2 with temperature change from 0.75 to 2.00C.
The Impact of government expenditure on economic growth: A Study of SAARC countries
Authors: Rahman Md Arafat 
Published: March 2023

Abstract
In this research study, the main goal is to determine whether government expenditure has impact on economic growth in the SAARC countries. Therefore, the primary goal is to determine whether government expenditure leads to economic development in SAARC countries and vice versa and whether a long-run equilibrium is a significant relationship between the two variables. The study relied solely on secondary data for its findings. Using quantitative techniques such as regression, co-integration and granger causality in the perspective of panel data from SAARC countries including Bangladesh, India, Pakistan, Sri Lanka, and Bhutan from 2011 to 2020, the authors developed their findings in the context of the SAARC countries. To conduct the regression analysis, the Eviews software was employed. Data Were obtained from the United Nations Conference on Trade and Development (UNCTAD), the Ministry of Finance websites of selected nations, macroeconomic trends, the World Bank, and Bangladesh Bank. The random-effects panel OLS model was used to generate the results. As with the preceding methodology, the study discovered an intriguing outcome. First and foremost, Government spending has a strong positive impact on GDP in SAARC countries, according to the empirical data. Second, in SAARC countries, government expenditure and economic growth has a long lasting relationship. In SAARC countries, there is unidirectional causality between GDP and government expenditure in the region . As a result, the study has been validated in that it is consistent with the Keynesian theory as well as Wagner's Law. Over this, SAARC countries should boost their government by being involved in Spurring economic development. However, suppose government spending does not correspond to the needs of the economy. In that case, it may have a significant negative impact on the economy of a country, resulting in society carrying the burden of the consequences.
Assessment of Pyrethroid Insecticides Susceptibility Profiles and Molecular Evaluation of L1014F kdr mutant alleles in Populations of Culex quinquefasciatus from Lymphatic Filariasis Endemic Communities in Akwa Ibom State, Nigeria
Authors: Okafor Martina Anurika , Ekpo Ndifreke Daniel , Opara Kenneth Nnamdi , Udoidung Nsima Ibanga , Alkazmi Luay , Yaro Clement Ameh , Batiha Gaber El-Saber 
Published: March 2023

Abstract
Background: This study investigated the dynamics in pyrethriod resistance and the presence/frequencies of L1014F knockdown resistance mutant allelles in Culex quinquefasciatus vector populations from Uruan Local Government Area of Akwa Ibom State, Nigeria.
Methods: Centre for Disease Control (CDC) bioassay was used to evaluate resistance to permethrin, deltamethrin and alphacypermethrin insecticides following standard protocols. Allele-Specific Polymerase Chain Reaction (AS-PCR) was used in detecting target site insensitivity in the vector populations.
Results: Results obtained revealed that vectors from all the study sites were resistant to permethrin insecticide (mortality rate: 18% - 23%). Suspected resistance (mortality rate: 90% - 93%) to deltamethrin and low resistance (mortality rate: 82% - 85%) to alphacypermethrin insecticides were detected. knockdown was more rapid with deltamethrin and alphacypermethrin than with permethrin across the study sites considering their KDT50 and KDT95. The frequency of the resistant phenotypes ranged between 35.14 % to 55.3 % across the study sites with a net of 45.1 % resistant phenotype recorded in this study. The 1014F allelic frequency calculated from Hardy-Weinberg principle for vector populations across the study sites ranged from 0.5 (50 %) to 0.7763 (77.63 %). All populations witnessed significant (p < 0.05) deviations from Hardy-Weinberg equilibrium in the distribution of these alleles.
Conclusion: The findings of this study show that there is a tendency to record an entire population of resistant vectors in this study area over time due to natural selection.
How does digital finance affect green technology innovation in the polluting industry? Based on the serial two-mediator model of financing constraints and Research and Development (R&amp;D) investments
Authors: Li Jianwei , Zhang Guoxin , Ned John Patrick , sui lu 
Published: March 2023

Abstract
This paper evaluates the importance of combining digital finance with conventional finance and information technology (IT) to bring new opportunities for green technology innovation and transformation within polluting industries. This study builds a theoretical framework “digital finance → financing constraints → R&D investment → green technology innovation” to demonstrate the causal mechanism between digital finance and firms’ green innovation by using the serial two-mediator model. The study shows that digital finance could reduce financial constraints and increase R&D investments, thereby improving enterprises' green technology innovation in the long run. One explanation for such results is the heterogeneity analysis that shows the effects of digital finance on green innovation are more apparent in state-owned enterprises and the regions with lower financial development and with higher financial supervision.
Investigation of adsorption-diffusion behaviors of elementary O2, CO2 and N2 in coal particles: Influence from temperature
Authors: Liu Wei , Qi Minghui , Chu Xiangyu , Peng Shiyang , Han Dongyang 
Published: March 2023

Abstract
Adsorption-diffusion behaviors of gases (i.e., O2, CO2 and N2) in coal are directly related to the coal spontaneous combustion (CSC), in which the temperature is the key factor affecting the gas migration process in coal. In this work, isothermal adsorption experiments of O2, CO2 and N2 under different temperatures were carried out on bituminous coal and anthracite coal samples at 0.5 MPa, respectively. Based on the free gas density gradient diffusion (FDGD) model, the microchannel diffusion coefficients of different gases at different temperatures were calculated, and the effects from temperature were quantitatively evaluated. The results acquired from the experiment and simulation show that (i) the adsorption capacity of these three gases decreases as the temperature increases, and the adsorption capacity at the same temperature satisfies CO2 > O2 > N2; (ii) the FDGD model is verified to be still applicable at high temperatures, indicating that the adsorption-diffusion behavior of O2, CO2 and N2 in coal particles at different temperatures is still consistent with the free gas density gradient diffusion; (iii) the microchannel diffusion coefficient Km of the three gases gradually increases when the temperature goes up. The present work contributes to the understanding of the gases migration process in the development of CSC.
Clinical perspectives and outcomes of Culture-Negative Microbial keratitis: A Retrospective study
Authors: Venugopal Anitha , Andhare Pooja , Rao Anusha , Uduman Mohammed Sithiq , Rameshkumar G 
Published: March 2023

Abstract
Objectives:
To study the risk factors, clinical features, and treatment outcomes of patients with culture-negative keratitis (CNK).
Methods:
A total of 2347 patients of microbial keratitis, excluding clinically viral keratitis, were registered during the study period from January 2018 to December 2020. Out of this, a retrospective review of 933 patients' data with culture-negative keratitis was performed. The variables such as the history of injury, visual acuity, slit-lamp findings with measurements of size and depth of ulcer, microbiological evaluation, duct patency, blood glucose levels, and treatment were considered, and clinical outcome was analyzed.
Results:
Of the 933 patients with CNK, 763 (81.8%) were medically managed, with a mean treatment duration of 2.08 ± 1.7 weeks. Among them, 622 (66.7%) were both smear and culture negative, and 311 (33.3%) showed only smear positivity. Smear was positive for fungus in 23.8% of the patients with a history of trauma (P < 0.001) compared to those without trauma (8.3%). Also, higher incidence of fungal growth on repeat culture was noted. In 22.9% of the patients with a history of trauma, the infiltrate size was > 5mm compared to those without trauma (13.3%).
Conclusion:
The risk factors identified were trauma and the use of previous ocular medications. The culture-negative keratitis can be successfully managed with medications alone if repeat cultures are performed appropriately, empirical therapy includes broad-spectrum antibiotics and antifungals, and knowledge on clinical differentiation of infective keratitis.
Secondary analysis of Huangkui capsule in the treatment of IgAN
Authors: Xing Zenghui , Han Bing , Zhang Yixuan , Li Sichen , Liu Chao , Wang Yiqin , Lin Hongli , Ni Zhaohui , Zhan Yongli , Cai Guangyan , Chen Qinkai , Wang Xiaoqin , Zhang Peiqing , Li Peng , Wang Niansong , Miao Lining , Wang Yong , Chen Xiangmei , Sun Xuefeng 
Published: March 2023

Abstract
Background: IgA nephropathy is the most common primary glomerular disease and an important cause of chronic kidney disease. Previous clinical studies have confirmed that Huangkui capsule could reduce urine protein of IgA nephropathy by 100 mg/d losartan potassium. However,the effect of Huangkui capsule on IgA nephropathy is not clear.
Methods: Based on two multicenter, large sample phase IV clinical trials (NCT 02231125; NCT 02231138), eligible IgA nephropathy patients were screened and the related data were extracted for secondary analysis. Patients were grouped according to the baseline urinary protein, glomerular filtration rate, or pathologic characteristics using IgA nephropathy Oxford classification and the curative effect was analyzed. Taking the decrease of urine protein ≥30% after Huangkui capsule 6-month treatment as the effective standard, multiple regression analysis was used to analyze the influencing factors of Huangkui capsule in reducing urinary protein in IgA nephropathy patients.
Results: 503 patients with IgA nephropathy were enrolled. The efficacy of Huangkui capsule in reducing urinary protein in patients with baseline 24h urinary protein ≥1.0 g/d or glomerular filtration rate ≥60 ml/min reach the effective standard. 24h baseline urinary protein, body mass index, serum albumin, and serum creatinine were the independent influencing factors of Huangkui capsule in reducing urinary protein, but there was no significant correlation with the baseline pathological characteristics. After 6 months of Huangkui capsule treatment, the decrease rate of urine protein increased by 7.9% for every 100mg increase of 24h urinary protein and 6.7% for every 1g/L increase of ALB, while decreased by 1.1% and 7% respectively, for every 1μmmol/L increase of serum creatinine and 1kg/m2 increase of body mass index.
Conclusion: The effect of Huangkui capsule is influenced by basic urinary protein, body mass index, serum albumin, and serum creatinine in IgA nephropathy patients. Huangkui capsule can effectively reduce urinary protein in patients with baseline urinary protein ≥1.0 g/d or glomerular filtration rate ≥60 ml/min.