bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychometric properties of the revised Urdu version dyadic adjustment scale for evaluating marital relationship quality between madrassa and Non-Madrassa married women
Authors: Naeem Bushra , Aqeel Muhammad , Maqsood Aneela , Yousaf Ishrat , Ehsan Saima 
Published: July 2021

Purpose
This study aims to explore the indigenous needs of married women in Pakistan due to the public health challenges they face due to marital conflict. The research focuses on investigating psychometric properties and cross-cultural validation of the revised dyadic adjustment scale’s (RDAS) Urdu translated version to assess marital relationship quality between married madrassa and non-madrassa women. The study examines empirically validated two-factor model (RDAS) between married madrassa and non-madrassa women (Busby et al., 1995; Hollist et al., 2012; Isanezhad et al., 2012; Christensen et al., 2006) and (Bayraktaroglu and Cakici, 2017). These studies approach including consensus, satisfaction and cohesion.

Design/methodology/approach
The investigators executed the study into two phases: a pilot test and the main survey.

Findings
The pilot study's findings specified that the Urdu translated version of the revised DAS indicated a decent internal consistency (a = 0.70). The overall revised DAS maintained a stronger test-retest correlation and tested it over 15 days (r = 0.95). The main study recorded 300 respondents' responses from madrassa and non-madrassa married women using a purposive sampling approach and recruited them from the locality of various madrassas and housing societies of Islamabad, Azad Kashmir and Rawalpindi, Pakistan. The study findings showed higher intercorrelations between total and subscales of the revised DAS. It further compared the groups with a multi-group confirmatory factor analysis (CFA) method and examined the revised DAS structure in married madrassa and non-madrassa women.

Practical implications
This study contributes to scientific knowledge and helps develop and validate indigenous cross-cultural instruments to examine marital life quality. It offers practical and reliable information about Pakistani couples' emotional attachment and marriage adjustment issues.

Originality/value
The study applied a three-factor solution, and it demonstrated a robust factorial validity in the context of Pakistani culture, which is a novel contribution to the literature.
Impact of disruptions in agri-food supply chain due to COVID-19 pandemic: contextualised resilience framework to achieve operational excellence
Authors: Mishra Ruchi , Singh Rajesh Kumar , Subramanian Nachiappan 
Published: July 2021

PurposeThe present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.Design/methodology/approachThe case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.FindingsThe SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.Research limitations/implicationsOne of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.Originality/valueThe development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.
Challenges in the implementation of lean manufacturing in the wood and furniture industry
Authors: Abu Falah , Saman Muhamad Zameri Mat , Garza-Reyes Jose Arturo , Gholami Hamed , Zakuan Norhayati 
Published: July 2021

PurposeThis study analyses the challenges in implementing lean manufacturing (LM) in the wood and furniture industry. In order to facilitate the smooth implementation of LM practices in this industry, the challenges in terms of its deployment need to be analysed and observed.Design/methodology/approachRealizing this importance, this study proposes a model, using PLS-SEM, which focusses on dealing with the challenges faced in the implementation of lean in the wood and furniture industry. The model consists of ten challenges that were determined based on a survey involving 46 SMEs companies in Malaysia.FindingsThe findings revealed that the implementation of LM is significantly affected by three main issues, namely: knowledge, resources and culture and human attitude. Furthermore, the analyses also highlighted four dominant challenges which are related to culture and human attitude issues – lack of employee commitment, lack of senior management's interest and support, difficult to implement, and LM is viewed as “current trend”. Overall, the ability to deal with the challenges involving factors of knowledge and culture and human attitude determines the success of LM implementation, especially in companies that have limited resources.Practical implicationsThis study would help wood and furniture SMEs, government agencies, professional bodies and academics to better understand the challenges when implementing LM practices.Originality/valueOverall, this study aims at investigating the relationships between the three challenges to better promote LM in the scope under study. Therefore, several activities were proposed to overcome the abovementioned challenges and subsequently contribute to the current body of knowledge.
The determinants of capitalisation rates: evidence from the US real estate markets
Authors: Larriva Matt , Linneman Peter 
Published: July 2021

PurposeEstablishing the strength of a novel variable–mortgage debt as a fraction of US gross domestic product (GDP)–on forecasting capitalisation rates in both the US office and multifamily sectors.Design/methodology/approachThe authors specify a vector error correction model (VECM) to the data. VECM are used to address the nonstationarity issues of financial variables while maintaining the information embedded in the levels of the data, as opposed to their differences. The cap rate series used are from Green Street Advisors and represent transaction cap rates which avoids the problem of artificial smoothness found in appraisal-based cap rates.FindingsUsing a VECM specified with the novel variable, unemployment and past cap rates contains enough information to produce more robust forecasts than the traditional variables (return expectations and risk premiums). The method is robust both in and out of sample.Practical implicationsThis has direct implications for governmental policy, offering a path to real estate price stability and growth through mortgage access–functions largely influenced by the Fed and the quasi-federal agencies Fannie Mae and Freddie Mac. It also offers a timely alternative to interest rate-based forecasting models, which are likely to be less useful as interest rates are to be held low for the foreseeable future.Originality/valueThis study offers a new and highly explanatory variable to the literature while being among the only to model either (1) transactional cap rates (versus appraisal) (2) out-of-sample data (versus in-sample) (3) without the use of the traditional variables thought to be integral to cap rate modelling (return expectations and risk premiums).
The missing link between overtourism and post-pandemic tourism. Framing Twitter debate on the Italian tourism crisis
Authors: Pasquinelli Cecilia , Trunfio Mariapina 
Published: July 2021

Purpose
This paper aims to exploit existing tourism knowledge to frame the unprecedented pandemic tourism crisis, its key aspects and impacts on the tourism industry. It builds a conceptual bridge and discusses the opportunity to capitalise on the missing link between the pre-COVID overtourism and the post-COVID “undertourism” debates.

Design/methodology/approach
A cross-fertilisation between the overtourism knowledge and the emerging COVID-19 literature stream is proposed and supported by an online media analysis focussing on the Italian tourism debate on Twitter. A text analysis of 2,500 posts helps discuss the conceptual framework.

Findings
The analysed Twitter debate prioritised socio-economic impacts, regulative actions and the recovery approach, representing government as the pivotal actor to overcome the pandemic crisis. An integrative interpretative framework results from this research, opening three areas of inquiry, such as the recovery–reform continuum, managerial approaches beyond regulative frames of action and a critical sizing of digital technologies deployment.

Research limitations/implications
Samples with different geographical and temporal coverage may provide further and multifaceted insights into the emerging tourism online media debate.

Originality/value
An original conceptualisation counter-intuitively frames post-pandemic tourism scenarios. Additional elements of originality are the online media analysis contributing to the emerging COVID-19 agenda and the use of Twitter social platform to investigate the tourism debate.
CFO attributes and accounting conservatism: evidence from Malaysia
Authors: Ismail Ismaanzira , Shafie Rohami , Ku Ismail Ku Nor Izah 
Published: July 2021

PurposeThis paper aims to examine whether conditional conservatism is affected by chief financial officer (CFO) attributes as this issue is understudied in Malaysia. Given that CFOs have a direct responsibility for financial reporting, therefore, their individual attributes are important in influencing conservatism in financial reporting.Design/methodology/approachThis study uses non-financial listed firms in the Main Market of Bursa Malaysia from the years 2016 until 2019.FindingsThe results show that CFOs’ attributes, namely, gender, age, education level and ethnicity, affect earnings conservatism. To test for robustness, the authors use difference-in-difference, propensity score-matching and unconditional conservatism, namely, market-to-book ratio and the authors find the results hold with an exception for age and education level. Further, the effect of these attributes is more profound in non-Big4 audited firms, suggesting that CFO attributes act as a substitute mechanism for lower audit quality.Originality/valueThis study complements existing studies by documenting the first evidence on the significant effects of CFOs’ attributes in influencing accounting conservatism in an emerging country, namely, Malaysia. This is the first paper, to the humble knowledge, that examines CFOs’ attributes on accounting conservatism in Malaysia.
Social media: a blessing or a curse? Voice of owners in the beauty and wellness industry
Authors: Kaur Kulvinder , Kumar Pawan 
Published: July 2021

PurposeThe rise in the use of Internet technologies and social media has shifted the marketing practices from offline to online. This study aims to determine the pros and cons of social media marketing in the beauty and wellness industry.Design/methodology/approachIn-depth interviews were conducted with the owners and marketing executives of beauty and wellness centers to understand the use of popular social media platforms in this industry and their pros and cons.FindingsThe researchers identified eight merits and seven demerits of social media in the beauty and wellness industry. Every respondent is happy and satisfied with social media use, particularly Instagram and Facebook. Irrespective of the demerits, they have shown the intention to increase its usage in the future. The merits override demerits; thus, social media is a blessing for this industry from the owners' perspective.Research limitations/implicationsThe research is exploratory and is confined to just one industry. Research implication is that the visual nature of social media makes it a powerful tool for the promotion of the beauty and wellness industry.Practical implicationsThe study's findings will be beneficial for small-scale businesses as it will push them to take advantage of this low-cost marketing tool.Social implicationsSocial media marketing is helpful for communication and marketing purposes for society.Originality/valueThe beauty and wellness industry remained unfocused by researchers because it is highly unorganized, fragmented and not regulated, yet has huge growth potential. This research will provide a closer look at this industry as well as social media marketing.
Experimental, analytical and numerical, investigation of peak temperature and cooling rate in butt joint weld of mild steel
Authors: Singh Mayur Pratap , Meena Pavan Kumar , Arora Kanwer Singh , Kumar Rajneesh , Shukla Dinesh Kumar 
Published: July 2021

Purpose
This paper aims to measure peak temperatures and cooling rates for distinct locations of thermocouples in the butt weld joint of mild steel plates. For experimental measurement of peak temperatures, K-type thermocouples coupled with a data acquisition system were used at predetermined locations. Thereafter, Rosenthal’s analytical models for thin two-dimensional (2D) and thick three-dimensional (3D) plates were adopted to predict peak temperatures for different thermocouple positions. A finite element model (FEM) based on an advanced prescribed temperature approach was adopted to predict time-temperature history for predetermined locations of thermocouples.

Design/methodology/approach
Comparing experimental and Rosenthal analytical models (2D and 3D) findings show that predicted and measured peak temperatures are in close agreement, while cooling rates predicted by analytical models (2D, 3D) show significant variation from measured values. On the other hand, 3D FEM simulation predicted peak temperatures and cooling rates for different thermocouple positions are close to experimental findings.

Findings
The inclusion of filler metal during simulation of welding rightly replicates the real welding situation and improves outcomes of the analysis.

Originality/value
The present study is an original contribution to the field of welding technology.
Ontogenetic trait shifts: Seedlings display high trait variability during early stages of development
Authors: Havrilla Caroline A. , Munson Seth M. , Yackulic Ethan O. , Butterfield Bradley J. 
Published: July 2021

AbstractCharacterizing variation in plant functional traits is often key to understanding community‐level processes and predicting ecosystem responses to environmental change. Trait‐based ecology has focused on interspecific trait variation, but sources and consequences of within‐species ontogenetic trait variation, particularly during early stages of development, remain understudied.Using a manipulative greenhouse experiment, we investigated trait variation during early stages of seedling development in seven dominant perennial plant species in the western United States. We examined variability in key trait values (i.e. SLA, root:shoot ratio (RSR), specific root length (SRL) and root dry matter content (RDMC)) of 20‐ to 62‐day‐old seedlings grown under low and high levels of water availability. We also compared these to compiled trait databases to assess how representative these readily available data sources are of seedling trait values.Early seedling trait values shifted greatly during early stages of development and generally differed from average plant trait database values. Trait shifts were greatest in forbs versus grasses. Overall, observed trait shifts suggested a transition from fast‐growing resource acquisitional strategies towards more slow‐growing conservative strategies over time. For example, seedling SLA decreased while RSR and RDMC increased over time.That seedling trait values aconsistently differed from trait database values indicates that plant trait database values may be poor predictors of seedling trait values. Such mismatches in species trait information could result in inaccurate predictions of community assembly outcomes or incongruities between seedling traits and environmental filters experienced by seedlings during early stages of recruitment in applied settings.We suggest that additional work is needed to characterize intraspecific trait variation across plant ontogeny, and that this information should be incorporated into studies ranging from understanding early plant growth and survival to evaluating the outcomes of ecological restoration.A freePlain Language Summarycan be found within the Supporting Information of this article.
Measuring the quality of dental care among privately insured children in the United States
Authors: Choi Sung Eun , Kalenderian Elsbeth , Normand Sharon‐Lise 
Published: July 2021

AbstractObjectiveTo examine whether quality of dental care varies by age and over time and whether community‐level characteristics explain these patterns.Data SourceDeidentified medical and dental claims from a commercial insurer from January 2015 to December 2019.Study DesignA retrospective cohort study. The primary outcome was a composite quality score, derived from seven dental quality measures (DQMs), with higher values corresponding to better quality. Hierarchical regression models identified person‐ and zip code–level factors associated with the quality.Data Collection/Extraction MethodsContinuously enrolled US dental insurance beneficiaries younger than 21 years of age.Principal FindingsQuality was assessed for 4.88 million person‐years covering 1.31 million persons. Overall quality slightly improved over time, mostly driven by substantial improvements among children aged 0–5 years by 0.153 points/year (95% confidence interval [CI]:0.151, 0.156). Quality was poorest and declined over time among adolescents with only 20.5% of DQMs met as compared to 42.6% among aged 0–5 years in 2019. Dental professional shortage, median household income, percentages of African Americans, unemployed, and less‐educated populations at the zip code level were associated with the composite score.ConclusionQuality of dental care among adolescents remains low, and place of residence influenced the quality. Increasing the supply of dentists and oral health promotion strategies targeting adolescents and low‐performing localities should be explored.
Online child pornography offender risk assessment using digital forensic artifacts: The need for a hybrid model
Authors: Rogers Marcus K. , Seigfried‐Spellar Kathryn C. , Bates Sienna , Rux Kayla 
Published: July 2021

AbstractThe prevalence of online child pornography is a major societal issue. The criminal justice system has struggled with assessing the risk of individuals involved in online sexual offenses against children, especially when it involves the possession of child pornography. Research suggests there are different categories of offenders involved in this type of behavior (e.g., Online Child Pornography Offenders, Dual Offenders, Contact Offenders), with each category having different motivations, contributing factors, and levels of risk to re‐offend or escalate their criminal behavior to more serious offenses (i.e., collecting pictures to contact offending). Determining the risk that individuals involved in online sexual offenses against children pose to re‐offend or escalate their criminal behavior has been problematic. Traditional sexual offender risk measures have lower predictive validity when dealing with online child pornography offenders. This article discusses the need for a formalized hybrid risk assessment model that combines the current online sex offenses against children risk measures with digital forensics artifact analysis. The evidence derived from digital forensics artifact analysis can supplement the predictive risk factors obtained from these risk assessment tools, thus increasing the reliability and validity of the risk assessment.
High‐throughput dilution‐based growth method enables time‐resolved exo‐metabolomics of Pseudomonas putida and Pseudomonas aeruginosa
Authors: Pedersen Bjarke H. , Gurdo Nicolás , Johansen Helle Krogh , Molin Søren , Nikel Pablo I. , La Rosa Ruggero 
Published: July 2021

SummaryUnderstanding metabolism is fundamental to access and harness bacterial physiology. In most bacteria, nutrient utilization is hierarchically optimized according to their energetic potential and their availability in the environment to maximise growth rates. Low‐throughput methods have been largely used to characterize bacterial metabolic profiles. However, in‐depth analysis of large collections of strains across several conditions is challenging since high‐throughput approaches are still limited – especially for non‐traditional hosts. Here, we developed a high‐throughput dilution‐resolved cultivation method for metabolic footprinting of Pseudomonas putida and Pseudomonas aeruginosa. This method was benchmarked against a conventional low‐throughput time‐resolved cultivation approach using either a synthetic culture medium (where a single carbon source is present) for P. putida or a complex nutrient mixture for P. aeruginosa. Dynamic metabolic footprinting, either by sugar quantification or by targeted exo‐metabolomic analyses, revealed overlaps between the bacterial metabolic profiles irrespective of the cultivation strategy, suggesting a certain level of robustness and flexibility of the high‐throughput dilution‐resolved method. Cultivation of P. putida in microtiter plates imposed a metabolic constraint, dependent on oxygen availability, which altered the pattern of secreted metabolites at the level of sugar oxidation. Deep‐well plates, however, constituted an optimal cultivation set‐up yielding consistent and comparable metabolic profiles across conditions and strains. Altogether, the results illustrate the usefulness of this technological advance for high‐throughput analyses of bacterial metabolism for both biotechnological applications and automation purposes.