bluuebunny/crossref_metadata_2025_split huggingface dataset:
Post-Traumatic Stress Disorder (PTSD) Among Landslide Survivors: a Descriptive Study
Authors: Cahyani Hanif Eka , Warsini Sri , Raymomdalexas Carla Marchira 
Published: March 2023

Introduction: Natural disasters cause many problems for survivors. Trauma, one such outcome of disasters, may result in the development of post traumatic stress disorder (PTSD). This study aimed to identify the level of post traumatic stress disorder (PTSD) and also its predictor factors among survivors of a landslide disaster at Donorati Village community, Purworejo, Indonesia
Method: This was a descriptive cross-sectional design research using a quantitative approach. The population of this study were the landslide survivors in Purworejo district. While this research sample was 100 survivors who live in Donorati village. Cluster and consecutive sampling techniques was applied for this study. The variables of this study were PTSD, gender, age, education level, socio-economic status based on occupation, marriage status, severity of natural disaster, exposure to previous disaster events, landslide disaster impact (house damage, injured family members, and death of family members) and evacuation record. The instruments of this research were demographic form and The Impact of Event Scale-Revised (IES-R). Bivariate analysis was performed using Chi-squared test and Fisher’s test, followed by multivariate analysis using logistic regression.
Results: The prevalence of probability of PTSD participants was 27%. Bivariate analysis revealed significant differences in PTSD levels based on sex (p-value = 0,02), age (p-value = 0,009), occupation (p-value = 0,02), severity of disaster (p-value = 0,008), the presence of injured family members (p-value = 0,018), and evacuation history (p-value = 0,001). The multivariate analysis revealed the factors related to PTSD after the landslide as gender and severity of the disaster impact.
Conclusions: The level of PTSD was significantly different based on gender, age, occupation, severity of the disaster, the presence of injured family members, and a history of evacuation. Mental health and psychosocial support services need to be developed to help reduce the impact of disasters and to assist survivors to cope better with the outcomes of those events.
Assessment of Small and Medium Scale Enterprises and Employment Generation in Nigeria: an Ardl Approach
Authors: Onyeka Diyoke Kenneth , Awe Emmanuel 
Published: March 2023

Abstract
Small and Medium scale Enterprise (SMEs) has been receiving great attention because of the tremendous impact it plays in society. This is why its development is paramount to any nation. This study assessed the SMEs and employment generation in Nigeria. the study employed time-series data from 1981 to 2021 using Autoregressive Distributed Lag Model as the method of analysis. The finding revealed that there is a positive and significant relationship between Small and Medium-scale Output (SMEO), Gross Domestic Products growth rate (GDPg) and employment generation but an insignificant nexus with poverty reduction (POVR) while also revealed a negative nexus between income generation and employment generation in Nigeria. The study concluded that there is a significant relationship between SMEs and employment generation in Nigeria. It, therefore, concluded that government should create an avenue that all informal SMEs be registered so as to be able to explore them during tax collection.
JEL CODE: D22, E26, and H32.
Trait prioritization in crop breeding programs: a scoping review on tools and methods
Authors: Occelli Martina , Mukerjee Rishabh , Miller Christian , Porciello Jaron , Puerto Sergio , Garner Elisabeth , Funes Mauricio Guerra , Gómez Miguel , Tufan Hale Ann 
Published: March 2023

Abstract
Trait prioritization studies have guided research, development, and investment decisions for public sector crop breeding programs since the 1970s, but the research design, methods and tools underpinning these studies are not well-understood. We used PRISMA-ScR (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols) to evaluate research on trait ranking for major crops over the past forty years. Data extraction and descriptive analysis on 331 papers show uneven attention of crops, lack of systematic sex-disaggregation, and regional bias. The lack of standardized trait data taxonomy across studies, inconsistent research design, and data collection practices make cross comparison of findings impossible. In addition, network mapping of authors and donors shows patterns of concentration and presence of silos within research areas. This study contributes to the next generation of innovation in trait preference to produce more inclusive, demand-driven varietal design that moves beyond trait prioritization focused on productivity and yield.
The Developmental Implications of Nigeria’s Public Spendings: an Ardl Analysis
Authors: Udo Aniefiok Benedict , Akpan Boniface Linus , Nsor Oniko Ndoma 
Published: March 2023

Abstract
Government expenditure is widely recognized as a potent tool for enhancing growth, redistributing income and reducing poverty in an economy. There exists a consensus in the literature that an adequate and effective macroeconomic policy is critical to any successful development process aimed at achieving high employment, sustainable economic growth and price stability. Is the Nigerian government a developmental state? In an attempt to answer this question, this study examined the short and long run impact of public expenditure on economic development in Nigeria from 1980 to 2020. Specifically, it seeks to determine the nature and direction of causality between government spending and economic development by employing the pair wise Granger causality technique and Autoregressive distributed lagged model to evaluate the empirical evidence of the impact of public expenditure on economic development in Nigeria. The granger causality result reveals that there is a bidirectional relationship between government spending and economic development in Nigeria. Also, the analysis showed that there is a long run relationship between public expenditure and economic development. Therefore, this study recommends that to achieve sustainable economic development in Nigeria, Government expenditure should be increased in the health, education and agricultural sectors in the economy.
Can banana peel and sweet potato vines have efficient in diets for growing rabbits?
Authors: Falcone Diuly Bortoluzzi , Klinger Ana Carolina Kohlrausch , Silva Stéfane Sauzem , Adorian Taida Juliana , de Toledo Geni Salete Pinto , Silva Leila Picolli da 
Published: March 2023

Abstract

This study aimed to evaluate the use of banana peel (BP) and sweet potato vines (SPV) as a replacement for maize and alfalfa hay in diets for rabbits. Animal performance, economic analyses, meat composition and color were evaluated for 49 days in a total 50 New Zealand White rabbits weaned at 35 days with average body mass of ±614g. The animals were allotted, in a completely randomized design, into five dietary groups: control diet (0) – without banana peels and sweet potato vines; or experimental diets: 25, 50, 75 and 100 – with 25%, 50%, 75% and 100% of banana peels and sweet potato vines in substitution to maize and alfalfa hay, respectively. Data were compared by ANOVA followed by Tukey test (p<0.05). Results indicate that daily feed intake, mass gain and feed conversion were similar. In addition, the study shows no differences were observed in centesimal compositions and muscle color. The replacement of maize and alfalfa hay by the combination of BP and SPV resulted in reduction in feed costs, reaching 50% in the experimental diet with 100% of substitution the ingredients. It can be concluded, based on the results on animal performance, meat/color composition and economic analyses that BP and SPV may be used as a substitute for maize and alfalfa hay up to 100% in diets for growing rabbits.
Clinical Outcomes in Covid-19 Patients with Pre-Existing Myasthenia Gravis - a Systematic Analysis of Reported Cases
Authors: Daif Ahmad , Gapchup Tejal , Paul Pritikanta 
Published: March 2023

Abstract
INTRODUCTION: Myasthenia gravis (MG) presents an additional challenge in managing COVID-19 as outcomes potentially depend on prior disease control and treatment. Yet the role of pre-existing MG in COVID-19 outcomes has not been established.
METHODS: We searched PubMed, Scopus, and Web of Science databases for reports of MG patients with confirmed COVID-19 until March 2022. We analyzed data on patient demographics, chronicity, and MG control at baseline pre-COVID, treatment history and outcome following COVID infection.
RESULTS: Twenty-nine publications with 119 patients (females n=75, age range 20-93 years, AChR Ab positive n= 65, MuSK Ab positive n= 5, seronegative n=14, unknown n=35) were included. Eighty-three (70%) were hospitalized, more than half with MG exacerbation. There was no significant difference in disease duration or control of MG symptoms at baseline between hospitalized and non-hospitalized. Hospitalization was associated with higher dose of daily prednisone but a comparable proportion of patients were on steroid-sparing agents. Among hospitalized patients, 40% were intubated uncorrelated with MG baseline control. Unfavorable outcome was not always associated with MG exacerbation. Amongst those discharged,75% received intravenous immunoglobulin (IVIG) or Plasmapheresis (PLEX) for MG exacerbation as compared to 67% with a fatal outcome didn’t receive either.
CONCLUSION: Preexisting MG does not appear to be associated with severe COVID-19 outcomes. Higher dose of prednisone prior to COVID-19 infection is associated with increased risk of hospitalization but MG control at baseline did not determine worse outcome. IVIG/PLEX appears safe and potentially can reduce fatality in patients with COVID-19 experiencing MG exacerbation.
Trends in Antihypertensive Use among Privately insured hypertensive Clients in Ghana
Authors: Marfo Afia , Marfo John , PLANGE-RHULE Jacob , HOLLINGWORTH Samantha 
Published: March 2023

Abstract

To describe the patterns of antihypertensive medicines (AHM) in a selected national population in Ghana. We analysed the claims data for all privately-insured patients in Ghana over three years to 2018. We examined the medicines, class and dose by time, gender and age, and generic status. We estimate the use in Defined Daily Dose (DDD) per 1000 population per day. Classes of AHM prescribed were CCB, ARB, ACEI, diuretics and BB. Amlodipine, nifedipine, losartan, lisinopril, and bendroflumethiazide accounted for 74% of all use. The most widely used single CCB was amlodipine 3.92 DDD/1,000 population/day in 2016, 3.92 DDD/1,000 population/day in 2017, and 4.92 DDD/1,000 population/day in 2018. In those aged 51-60 years, use of CCB in women (74.0 DDD/1,000 population/day) was almost twice that of men (38.3 DDD/1,000 population/day). The top ten medicines accounted for 93% of all single medicine products in 2018. Most single medicine products was generic (76.5% in 2016; 79.9% in 2017 and 83.1% in 2018) whiles most fixed combination products were branded (73.0% in 2016; 89.7% in 2017 and 91.3% in 2018). The patterns of AHM use are clinically expected although the Ghana Standard Treatment guidelines are not directive about lines of treatment.
Inefficient Infrastructure Services and Trade Flows: Evidence from Nigeria and its Trading Partners
Authors: Wahab Bashir Adelowo Adelowo 
Published: March 2023

Abstract

This study examines the relative impacts of transport and information and communications technology (ICT) components of trade-related infrastructure on bilateral trade flows between Nigeria and its major trading partners. An augmented standard gravity model that featured variables for the transport infrastructure component (maritime transport, ratio of total roads network to total population and airport infrastructure) and ICT component (the number of internet users, fixed broadband internet, and telephone subscribers) was estimated using bilateral trade data on 22 major trading partners of Nigeria for the period 2005-2021. Panel instrumental variables technique (pooled two-stage least squares technique leveraged on fixed and random effects models) was used for the analysis. The findings show that both the transport component and ICT component had a significant impact on trade flows between Nigeria and its trading partners. In the exports model, the differential impact of the transport infrastructure component is higher than the ICT component, but the differential impact of the ICT component is greater in the imports model. This suggests that efficient provision of both transport and ICT infrastructure facilitates trade while the inefficient provision of either or both hinders it. Therefore, greater attention must be placed on improving both components.
Pectolinarigenin regulates the tumor-associated proteins in AGS-xenograft BALB/c nude mice
Authors: Lee Ho Jeong , Kwon Young Sang , Lee Ju Hong , Moon Yeon Gyu , Choi Jungil , Hyun Moonjung , Tak Tae Kil , Kim Je-Hein , Heo Jeong Doo 
Published: March 2023

Abstract
Background Pectolinarigenin (PEC) is one of the flavonoid active ingredients, and the anti-inflammatory and anti-cancer effects of PEC are being studied continuously. In a previous study, we found out the PEC regulates PI3K/AKT/mTOR pathway on gastric cancer (GC) cells. The purpose of this study was to establish the GC regulatory function of PEC in vivo and in vitro.
Methods In this research, PEC was intraperitoneally administered to confirm tumor control after xenografting the AGS cell line into BALB/c nude mice to form tumors. Subsequently, tumors were extracted and LC-MS analysis and Gene ontology were performed for proteomics.
Results The body weight and hematological analysis showed that PEC was not toxic to the non-cancerous cells in the xenograft mice model. We identified 582 proteins related to cellular responses such as tumorigenesis and cell death siganling in the tumor tissue. 6 out of 582 proteins was regulation similar by PEC in vivo and in vitro.
Conclusion Our findings indicated that PEC treatment might suppress tumor growth in GC, and proteomic analysis provides the basic information about proteins that could be of significant potential as novel therapeutic targets againsg GC.
Effect and formulation of ecolabel policy: A perspective of green supply chain decision and coordination
Authors: Zhang Huan , Li Qingxin , Jiang Jianli 
Published: March 2023

Abstract

The ecolabel policy is crucial for sustainable development of green supply chain. Considering manufacturer's reputation and consumer’s environmental awareness, this study proposes a few of game models to investigate the impact of the ecolabel policy on the green supply chain. Specifically, four different scenarios are investigated: centralized supply chain with/without certification and decentralized supply chain with/without certification. The results indicate that the ecolabel policy only functions below a threshold of the consumer’s environmental awareness which is higher in the decentralized situation. Only when choosing the certification standard as its green degree, can the manufacturer get the optimal profit. Aiming to maximize the environmental benefit, the optimal ecolabel standard in the centralized decision-making situation is higher than that in the decentralized ones. Furthermore, a wholesale price contract with the manufacturer's reputation is established to make both the product’s green degree and the whole environmental benefit reach the optimal level in a decentralized supply chain.
“Trust people you've never worked with” – A Social Network Visualisation of Teamwork, Cohesion, Social Support and Mental Health in NHS Covid Personnel.
Authors: Schilling Stefan , Armaou Maria , Morrison Zoe , Carding Paul , Bricknell Martin , Connelly Vincent 
Published: March 2023

Abstract
Background
The unprecedented rapid re-deployment of health care workers from different care pathways into newly created and fluid COVID-19 teams provides a unique opportunity to examine the interaction of many of the established non-technical factors for successful delivery of clinical care and teamwork in healthcare settings. This research paper therefore aims to address these gaps by qualitatively exploring the impact of COVID work throughout the pandemic on permanent and deployed personnel’s experiences, their ability to effectively work together, and effect of social dynamics (e.g., cohesion, social support) on teamwork and mental health.
Methods
Seventy-five interviews were conducted across the UK between March and December 2021 during wave 2 and 3 of COVID-19 with 75 health care workers who were either permanent staff, or who had been rapidly deployed to Intensive Care/High Dependency Units or other COVID-19 wards, or had managed such wards. Work Life Balance was measured using the WLB Scale. Interview transcripts were qualitatively coded and thematic codes were compared using network graph modelling.
Results
Four thematic clusters were found, (1) Teamwork, (2) Organisational Support & Management, (3) Cohesion & Social Support, and (4) Psychological Strain. The study has three main findings. First, the importance of social factors for teamwork and mental health, whereby team identity may influence perceptions of prepareness, collaboration and communication, and impact on the collective appraisal of stressful events and work stressors. Secondly, it demonstrates the positive and negative impact of professional roles and skills on the development of teamwork and team identity. Lastly the study identifies the more pronounced negative impact of COVID work on deployed personnel’s workload, mental health and career intentions, exacerbated by reduced levels of social support during, and after, their deployment.
Conclusions
The thematic analysis using graph modelling was able to highlight the interactive and interdependent role of social dynamics on teamwork, suggesting that besides technical skills and preparedness, group membership and perception of professional category may play a bigger role for teamwork than previously stated. It also highlights the potentially protective impact of team-membership on participants experience of their pandemic work, especially in light of the length of the recent pandemic.
Construction of a novel prognostic model for evaluation of immune infiltration and immunotherapy in lung adenocarcinoma
Authors: Zhang Fuxin , Luan Jiahui , Suo Lijun , Cao Hongyun , Yu Xiaofeng , Liu Bo 
Published: March 2023

AbstractBackground:Immunotherapy is an indispensable treatment in advanced lung adenocarcinoma (LUAD). However, only a small percentage of patients have experienced the specificity and effectiveness of immune checkpoint inhibitors. To maximize the therapeutic benefits for LUAD patients, a bioinformatics analysis was used to validate a prognostic signature for LUAD based on immune-related genes.Methods:RNA sequence and clinical information of LUAD patients were taken from the TCGA database. Microarray datasets of GSE30219, GSE72094, and GSE37745 and their survival information were downloaded from the GEO database and the prognostic signature was verified through GEO external validation cohorts. Finally, TIDE, immune checkpoint molecules and two independent external immunotherapy validation cohorts (GSE91061 and Imvigor210) were analyzed to evaluate immunotherapy efficacy.Results:We constructed an immune-related diagnostic signature and verified the prognostic value in TCGA, GSE30219, GSE72094, and GSE37745. The gene sets of high-risk samples were correlated with cell cycle, DNA replication, ribosome, and steroid hormone biosynthetic pathway,SPTA1mutation rate, and lower benefit from ICI therapy; whereas the low-risk patients were correlated with intestinal immune network for IgA production, FLGgene mutation rate, and higher benefit from ICI therapy.Conclusions:The immune-related gene signature for LUAD may have prognostic relevance in ICI therapy.
The spectrum of biopsy-proven renal disease among Tibetan inhabitants: A survey of 429 patients at a single Chinese center
Authors: Yao Yuxuan , Wang Hui , Yong A , Tang Chen , Si Fenglei , Liu Lijun , Wang Suxia , Zhao Minghui 
Published: March 2023

Abstract
Background
The renal histopathology of Tibetan inhabitants with renal diseases has not been well described. The purpose of the study was to investigate the spectrum of renal diseases on the Tibetan Plateau.
Methods
The records of 429 consecutive native renal biopsies performed on patients at the People’s Hospital of Tibet Autonomous Region between January 2016 and July 2020 were retrospectively analyzed. The kidney tissues were sent to the Department of Nephrology, Peking University First Hospital, for pathological evaluation. The criteria for renal biopsy and pathologic diagnosis were kept unchanged.
Results
Of the 429 biopsies evaluated, 60.4% (259/429) were from males. A total of 14.0% (60/429) of patients were elderly (age ≥ 60 years). Nephrotic syndrome (NS) was the most common clinical presentation, accounting for 47.1% (196/416). On histology, 63.2% (271/429) of patients were diagnosed with primary glomerulonephritis (PGN), and 29.4% (126/429) of patients were diagnosed with secondary glomerulonephritis (SGN). Membranous nephropathy (MN) was the most common PGN, accounting for 31.0% (84/271), followed by IgA nephropathy (IgAN) (29.5%, 80/271) and minimal change disease (MCD) (15.5%, 42/271). The leading SGN was diabetic nephropathy (DN) (42.9%, 54/126), followed by IgA vasculitis-associated nephritis (IgAVN) (15.9%, 20/126).
Conclusions
The largest retrospective cohort study of biopsy-proven renal disease in Tibetan inhabitants revealed that the leading causes of primary glomerular disease were MN and IgAN and that the leading cause of secondary glomerular disease was DN.
Sepsis-coded hospitalisations and associated costs in Australia: A retrospective analysis
Authors: Kumar Ashwani , Hammond Naomi , Abbenbroek Brett , Thompson Kelly , Taylor Colman , Venkatesh Bala , Delaney Anthony , Finfer Simon 
Published: March 2023

Abstract
Objective
To report trends in Australian hospitalisations coded for sepsis and their associated costs.
Design:
Retrospective analysis of Australian national hospitalisation data from 2002 to 2021.
Methods
Sepsis-coded hospitalisations were identified using the Global Burden of Disease study sepsis-specific ICD-10 codes modified for Australia. Costs were calculated using Australian-Refined Diagnosis Related Group codes and National Hospital Cost Data Collection.
Results
Sepsis-coded hospitalisations increased from 36,628 in 2002-03 to 131,826 in 2020-21, an annual rate of 7.8%. Principal admission diagnosis codes contributed 13,843 (37.8%) in 2002-03 and 44,186 (33.5%) in 2020-21; secondary diagnosis codes contributed 22,785 (62.2%) in 2002-03 and 87,640 (66.5%) in 2020-21. Unspecified sepsis was the most common sepsis code, increasing from 15,178 hospitalisations in 2002-03 to 68,910 in 2020-21. The population-based incidence of sepsis-coded hospitalisations increased from 18.6 per 10,000 population (2002-03) to 51.3 per 10,000 (2021-21); representing an increase from 55.1 per 10,000 hospitalisations in 2002-03 to 111.4 in 2020-21. Sepsis-coded hospitalisations occurred more commonly in the elderly; those aged 65 years or above accounting for 20,573 (55.6%) sepsis-coded hospitalisations in 2002-03 and 86,135 (65.3%) in 2020-21. The cost of sepsis-coded hospitalisations increased at an annual rate of 20.6%, from AUD199M (€127M) in financial year 2012 to AUD711M (€455M) in 2019.
Conclusion
Hospitalisations coded for sepsis and associated costs increased significantly from 2002 to 2021 and from 2012 to 2019, respectively.