bluuebunny/crossref_metadata_2025_split huggingface dataset:
The National Psychiatric Morbidity Survey of Pakistan (2022): Prevalence, socio-demographic and disability correlates
Authors: Rahman R , Sheehan D , Javed A , Ahmad SH , Shafiq K , Kanwal U , Afridi MI , Nizami AT , Rasool G , Taj R , Ansari M , Naim M , Farooq S , Memon A , Karim MS , Hana Y , Ayub M. 
Published: July 2024

AbstractBackgroundNational psychiatric morbidity surveys have shown a wide range of prevalence of psychiatric disorders across different countries. Pakistan with its sociocultural and ethnic diversity, has the fifth largest population in the world. There was no prior high-quality nationally representative data on the prevalence of psychiatric disorders and their socio-demographic correlates for Pakistan. To fill this gap in the planning of mental health services, the Pakistan Psychiatric Society conducted the National Psychiatric Morbidity Survey (NPMS) of Pakistan, in the years 2019-2022.AimTo estimate the prevalence and socio-demographic correlates of psychiatric morbidity in a representative sample of Pakistan.MethodsThe cross-sectional NPMS collected data from the four provinces of Pakistan. After selection through a three-stage, stratified, random cluster sampling technique we interviewed 17,773 adults above the age of 18. We used the MINI International Neuropsychiatric Interview (MINI Version 7.0.2) to evaluate psychiatric morbidity. Current and lifetime precise and weighted prevalence is reported according to ICD-10 (International Classification of Disease-10thversion). We used multivariate logistic regression to investigate the association between the risk of psychiatric illness and sociodemographic variables. National Bio-ethic Committee of Pakistan granted approval of survey.ResultsThe lifetime and current weighted prevalence of all psychiatric disorder is 37.91% (95% Confidence Interval (CI) =37.22-38.59) and 32.28% (95% CI=31.62-32.94) respectively. The weighted prevalence of common psychiatric disorders in Pakistan included Mood Disorders (F30-F39; 19.62%), Neurotic and Stress-related Disorders (F40 F48; 24.81%), Psychotic Disorders (F20-F29; 4.52%) and Mental and Behavioural Problems due to Psychoactive Substance use (F10-F19; 0.85%). The psychiatric disorders had an association with age, female gender, urban living, lower income and being divorced. Among participants, 6.17% acknowledged suicidality in the past month, while 1.05% acknowledged a lifetime suicide attempt.ConclusionThe NPMS is the first nationally representative study of psychiatric morbidities in Pakistan. The data from this survey can be utilized for designing and implementing mental health services and support programmes in the country.
Use of robust norming to create a sensitive cognitive summary score inde novoParkinson’s disease
Authors: Weintraub Daniel , Brumm Michael C. , Kurth Ryan , York Michele K. ,   the Parkinson’s Progression Markers Initiative
Published: July 2024

ABSTRACTBackground and ObjectivesCognitive impairment is common at all stages in Parkinson’s disease (PD). However, the field is hampered by consensus over which neuropsychological tests to use and how to utilize the results generated by a cognitive battery. An option that combines the richness of a neuropsychological battery with the simplicity of a single test score is a cognitive summary score (CSS). The objective was to determine if a CSS created using robust norming is sensitive in detecting early cognitive deficits inde novo, untreated PD.MethodsUsing baseline cognitive data from PD participants and healthy controls (HCs) in the Parkinson’s Progression Markers Initiative, these steps were taken: (1) creating a robust HC subgroup that did not demonstrate cognitive decline over time; (2) using the robust HC subgroup to create regression-based internally-derived standardized scores (z-scores) for six cognitive scores across five tests; and (3) creating a CSS by averaging all standardized test z-scores.ResultsPD participants scored worse than HCs on all cognitive tests, with a larger effect size (PD versus HCs) when the comparison group was the robust HC subgroup compared with all HCs. Applying internally-derived norms rather than published norms, the largest cognitive domain effect sizes (PD vs. robust HCs) were for processing speed/working memory (Cohen’s d= -0.55) and verbal episodic memory (Cohen’s d= -0.48 and -0.52). In addition, using robust norming shifted PD performance from the middle of the average range (CSS z-score= -0.01) closer to low average (CSS z-score= -0.40), with the CSS having a larger effect size (PD vs. robust HC subgroup; Cohen’s d= -0.60) compared with all individual cognitive tests.DiscussionPD patients perform worse cognitively than HC at disease diagnosis on multiple cognitive domains, particularly information processing speed and verbal memory. Using robust norming increases effect sizes and lowers the scores of PD patients to “expected” levels. The CSS performed better than all individual cognitive tests. A CSS developed using a robust norming process may be sensitive to cognitive changes in the earliest stages of PD and have utility as an outcome measure in clinical research, including clinical trials.
Overlap between COPD genetic association results and transcriptional quantitative trait loci
Authors: Saferali Aabida , Kim Wonji , Chase Robert P. ,   NHLBI TransOmics in Precision Medicine (TOPMed), Vollmers Chris , Silverman Edwin K. , Cho Michael H. , Castaldi Peter J. , Hersh Craig P. 
Published: July 2024

AbstractRationaleGenome-wide association studies (GWAS) have identified multiple genetic loci associated with chronic obstructive pulmonary disease (COPD). When integrated with GWAS results, expression quantitative trait locus (eQTL) studies can provide insight into biological mechanisms involved in disease by identifying single nucleotide polymorphisms (SNPs) that contribute to whole gene expression. However, there are multiple genetically driven regulatory and isoform-specific effects which cannot be detected in traditional eQTL analyses. Here, we identify SNPs that are associated with alternative splicing (sQTL) in addition to eQTLs to identify novel functions for COPD associated genetic variants.MethodsWe performed RNA sequencing on whole blood from 3743 subjects in the COPDGene Study. RNA sequencing data from lung tissue of 1241 subjects from the Lung Tissue Research Consortium (LTRC), and whole genome sequencing data on all subjects. Associations between all SNPs within 1000 kb of a gene (cis-) and splice and gene expression quantifications were tested using tensorQTL. In COPDGene a total of 11,869,333 SNPs were tested for association with 58,318 splice clusters, and 8,792,206 SNPs were tested for association with 70,094 splice clusters in LTRC. We assessed colocalization with COPD-associated SNPs from a published GWAS[1].ResultsAfter adjustment for multiple statistical testing, we identified 28,110 splice-sites corresponding to 3,889 unique genes that were significantly associated with genotype in COPDGene whole blood, and 58,258 splice-sites corresponding to 10,307 unique genes associated with genotype in LTRC lung tissue. We found 7,576 sQTL splice-sites corresponding to 2,110 sQTL genes were shared between whole blood and lung, while 20,534 sQTL splice-sites in 3,518 genes were unique to blood and 50,682 splice-sites in 9,677 genes were unique to lung. To determine what proportion of COPD-associated SNPs were associated with transcriptional splicing, we performed colocalization analysis between COPD GWAS and sQTL data, and found that 38 genomic windows, corresponding to 38 COPD GWAS loci had evidence of colocalization between QTLs and COPD. The top five colocalizations between COPD and lung sQTLs includeNPNT,FBXO38,HHIP,NTN4andBTC.ConclusionsA total of 38 COPD GWAS loci contain evidence of sQTLs, suggesting that analysis of sQTLs in whole blood and lung tissue can provide novel insights into disease mechanisms.
Seasonal changes in fish eDNA signal vary between contrasting river types
Authors: Griffiths Nathan P. , Bolland Jonathan D. , Wright Rosalind M. , Blabolil Petr , Macarthur James A. , Sellers Graham S. , Hänfling Bernd 
Published: July 2024

AbstractDue to the societal reliance on goods and services provided by river systems, and their close proximity to settlements, few modern-day rivers are without significant anthropogenic modifications. The natural river hydrology is often altered as a consequence of pumping water for flood alleviation, retaining water for irrigation and modifying channels for navigation. In recent years, water pumping stations have been found to have several adverse impacts, including fish mortality (direct and indirect) and habitat fragmentation. More broadly, modern-day river systems face a myriad of anthropogenic flow and channel modifications, with varying impacts on different fish life stages. To manage such risks in line with policy, knowledge of the overall fish community and priority species present is required. It is therefore important to understand the robustness of developing survey strategies across differently managed river systems. This study investigates the seasonal patterns of environmental DNA (eDNA) metabarcoding detections from water samples, taken across three differently managed river types over a one-year period. We observed some significant seasonal variation in detection rates and fish communities; however, this variation was not consistent among river types. Despite this, we found comparatively poor fish communities upstream of pumping stations all year-round, with pumped catchments containing significantly fewer species than the adjacent main river channel and our regional control site. Finally, we highlight that seasonal variation in detectability for the overall fish community may not always reflect that of priority species. In our case, we found favourable European eel (Anguilla anguilla) detection in the summer months across all river types. It is therefore recommended that rather than focusing on overall detectability, policy driven targeted surveys should be designed with priority species ecology in mind.
Backbone-mediated weakening of pairwise interactions enables percolation in peptide-based mimics of protein condensates
Authors: Zeng Xiangze , Pappu Rohit V. 
Published: July 2024

ABSTRACTBiomolecular condensates formed by intrinsically disordered proteins (IDPs) condensates are semidilute solutions. These can be approximated as solutions of blob-sized segments, which can be as small as peptide-sized motifs. We leveraged the blob picture to quantify differences between inter-residue interactions in model compound and peptide-based mimics of dense versus dilute phases. The all-atom molecular dynamics simulations use the polarizable AMOEBA forcefield. In model compound solutions, the interactions between aromatic residues are stronger than interactions between cationic and aromatic residues. This holds in dilute and dense phases. Cooperativity within dense phases enhances pairwise interactions leading to finite-sized nanoscale clusters. The results for peptide-based condensates paint a different picture. Backbone amides add valence to the associating molecules. While this maintains or enhances pairwise inter-residue interactions in dilute phases, it weakens pair interactions in dense phases. Weakening of pair interactions enables fluidization characterized by short-range order and long-range disorder. The higher valence afforded by the peptide backbone becomes a generator of system-spanning networks. As a result, dense phases of peptides are best described as percolated network fluids. Overall, our results show how peptide backbones enhance pairwise interactions in dilute phases whole weakening these interactions in dense phases to enable percolation within dense phases.
Intention-behaviour gap in organic food consumption: a dual-moderated mediation model
Authors: Nguyen Thi Thu Trang , Nguyen Thi Phuong Linh 
Published: July 2024

PurposeThe paper is aimed at examining the mediating role of action and coping plans in reducing intention-behaviour gap as a function of underlying perceived self-efficacy [action self-efficacy (ActS) and coping self-efficacy (CopS)] in organic food (OF) consumption.Design/methodology/approachA cross-sectional study was designed to examine the moderating role of perceived self-efficacy in the intention–plans–behaviour relationship. To test the theoretical framework, data from 453 valid questionnaires were recruited in Hanoi (Vietnam) and were analysed to test validity and reliability before being evaluated for hypothesis testing by Smart-PLS 4.0.FindingsThe results indicate that action and coping plans have significant positive effects on the relationship between intention and behaviour. CopS has a significant positive effect on the two paths of the intention-coping plan-behaviour mediation, whereas action plan (AP) has merely a significant positive link to the intention-AP path.Research limitations/implicationsThere are several limitations of the paper, including a small and undiversified-characteristic sample and general OF.Practical implicationsThe findings of the study make recommendations for marketers to boost OF consumption in Vietnam.Originality/valueThis is the first study to examine a dual-moderated mediation model in narrowing the intention-behaviour gap, especially in the context of OF consumption. Particularly, the notions of plan and self-efficacy are divided into sub-constructs on the basis of different functions and both paths in the intention-plan-behaviour mediation are investigated. AP and coping plan are served as dual mediators, whereas ActS is regarded as moderator for both paths of intention-AP-behaviour link and CopS is examined as moderator for both paths of intention–coping plan–behaviour relationship, providing a holistic mechanism in translating intention into behaviour.
Evaluating and classifying market alternatives using the CAPMA technique to assess potential export volume: an application for Turkey’s fig exports
Authors: Baki Rahmi 
Published: July 2024

PurposeAppropriate target market selection and classification are complex, time-consuming, and strategically important management decisions. The current study proposes and implements a new systematic approach that evaluates and ranks alternative markets’ potential to increase the export volume of Turkey’s fig exports.Design/methodology/approachThe classification approach of potential market alternatives (CAPMA) method, which was developed to evaluate, compare, and classify alternative markets according to their potential, was used in this study. CAPMA, an objective decision-making technique, is based on calculating the classification coefficient and classifying the alternatives into four dimensions, taking this coefficient into consideration. In the current study, 25 alternative markets were analysed on the basis of four evaluation criteria and classified into four dimensions according to their potential to increase export volume.FindingsAccording to the application results, alternative markets with the greatest potential to increase export volume were identified as the United States of America (USA), Netherlands, China, and Spain. The USA has the greatest potential for expansion of export volume. By implementing correct and effective marketing strategies, fig export volume has the potential to reach very high levels.Originality/valueThe study’s results on alternative markets for fig exports were categorized, countries with greater potential to increase export volume were identified, and findings that could contribute to the development of the sector were obtained. The approach proposed in the current research can be used to determine the target market of many other products, especially agricultural products, whose production is concentrated within a specific geography.
Analyzing how COVID-19 moderates the relationship between organizational learning capabilities, technological innovation, supply chain management and enterprise performance in the automobile industry
Authors: Nazir Samera , Mehmood Saqib , Zhaolei Li , Nazir Zarish , Nazir Sana 
Published: July 2024

PurposeThis study explored how COVID-19 moderated the relationship between organizational learning capabilities (OLCs), technological innovation (TI), supply chain management (SMC) processes and enterprise performance (EP). It aimed to give ideas on how organizations could change and do well during big disruptions.Design/methodology/approachDesign: A structured questionnaire served as the data collection tool, employing a stratified sampling technique. Partial least squares (PLS) was utilized for data processing. Information was gathered from the automobile industry in Xian, China, providing an in-depth understanding of how COVID-19 moderated the variables under examination.FindingsThe study discovered that COVID-19 changed how organizational learning, TI, SCM and EP interacted. Some organizations had trouble keeping up with learning and innovation, but others used them to make their SCM stronger, leading to better performance. Also, different effects of COVID-19 were seen in various industries and organizations.Practical implicationsThis study provided practical implications for managers, policymakers and practitioners. It emphasized fostering OLCs and TI as crucial for resilience during disruptions like COVID-19. Strategic investments in SCM were highlighted to mitigate disruptions and seize opportunities. Additionally, context-specific approaches were underscored for navigating pandemic-induced challenges.Originality/valueThis study enhanced existing literature by analyzing how COVID-19 moderated the link between organizational learning, TI, SCM and EP. Through diverse methodologies and organizational contexts, it offered fresh insights into dynamic organizational responses to disruptions, advancing both theoretical understanding and practical knowledge in the field.
Decision making performance of business analytics capabilities: the role of big data literacy and analytics competency
Authors: Fattah Ikhsan A. 
Published: July 2024

PurposeThis study investigates the relationships between data governance (DG), business analytics capabilities (BAC), and decision-making performance (DMP), with a focus on the mediating effects of big data literacy (BDL) and data analytics competency (DAC).Design/methodology/approachThe study was conducted with 178 experienced managers in public service organizations, using a quantitative approach. Structural equation modeling (SEM) and mediation tests were employed to analyze the data.FindingsThe findings reveal that DG and BDL are critical antecedents for developing analytical capabilities. Big data literacy mediates the relationship between DG and BAC, while BAC mediates the relationship between DG and DMP. Furthermore, DAC mediates the relationship between BA capabilities and DMP, explaining most of the effect of BAC on DMP.Practical implicationsThese results highlight the importance of DG in fostering BDL and analytical skills for improved decision-making in organizations.Originality/valueBy prioritizing DG practices that promote BDL and analytical capabilities, organizations can leverage business analytics to enhance decision-making.
Team-level HR practices and team engagement: mediating role of team-level psychological capital
Authors: Farrukh Muhammad , Attiq Saman , Rafiq Muhammad , Raza Ali , Ansari Nabeel Younus 
Published: July 2024

PurposeAlthough the importance of high-performance work practices to foster individual-level outcomes is well documented, how team-level perception of HPWPs impacts team-level outcomes is not well researched, particularly in the hospitality sector. To fill this research gap, the role of team-level perception of HPWPs in fostering team engagement through team psychological capital is investigated.Design/methodology/approachA survey was conducted using a structured questionnaire.FindingsThe study findings suggest that in the presence of HPWPs, front-line service employees have high psychological resources and are more engaged in performing their organizational tasks.Originality/valueThe hotel management should benefit from high-performance work practices to enhance employees' attachment with their service organizations for exhibiting work engagement.
Foresight and the scamper technique: a combination of collective intelligence strategies for building innovation capacity
Authors: Perez Perez Juan Ernesto 
Published: July 2024

Purpose
The aim of this research paper is to present a new model of innovation management under the approach of anticipatory collective intelligence strategies to improve the innovation capacity of products and business processes. The paper presents a case study of Café Galavis, one of the oldest family-owned companies in the Colombian coffee sector.

Design/methodology/approach
A descriptive mixed-methods research design was used. Ten experts and the general manager of the organization were interviewed using a semi-structured format. Additionally, a creativity and innovation workshop were conducted with the participation of 140 young people between the ages of 21 and 28. The traditional product of the company was evaluated using the SCAMPER technique. On the other hand, a strategic approach was taken to address the complex problem. This involved conducting a bibliometric analysis using Vosviewer software, prioritizing key variables and actors’ game through MICMAC and MACTOR software, seeking expert judgment, conducting morphological analysis, generating scenarios under the Peter Schwartz axes and designing a strategic plan.

Findings
The paper presents a new approach to developing innovation processes by connecting foresight and the SCAMPER technique as a strategy for anticipatory collective intelligence. Furthermore, it was found that the use of these methods enhances the innovation capacity of both products and business processes. Organizations can implement this model to create plans with disruptive and sustainable horizons.

Practical implications
The paper presents methods to enhance the adoption and performance of innovation in companies through collective anticipatory intelligence and the use of digital tools.

Originality/value
This paper proposes a novel approach to combining two future methods to promote innovation. This study makes a theoretical and practical contribution to the field of foresight.
Lean manufacturing for reducing lead time in foundry processes: a design science approach
Authors: Sordan Juliano Endrigo Endrigo , Oprime Pedro Carlos , Ferreira José Leonardo , Marinho Clesio Aparecido , Pata Arminda 
Published: July 2024

Purpose
The lean manufacturing (LM) approach is a highly effective method that can be implemented in any industry to streamline production processes, meet customer demand and eliminate any unnecessary waste. This paper aims to propose and evaluate a generic project-based framework grounded on the LM approach for reducing lead time in foundry processes.

Design/methodology/approach
Using design science research (DSR), we developed a generic LM project-based framework for reducing lead time in foundry processes.

Findings
The developed framework provides an alternative method to implement LM projects to reduce lead time and nonvalue activities in foundry factories.

Practical implications
The findings of this research can guide better lean practitioners for lead time reduction in foundry processes.

Originality/value
This paper contributes to the operational excellence literature when discussing the impact of the LM approach on foundry processes. In addition, the paper provides a roadmap for reducing lead time in a foundry company.