bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lightweight concrete crack detection based on spiking neural networks
Authors: Ye Wujian , Huang Hao , Zhang Boning , Liu Yijun , Lin Ziqi 
Published: October 2024

PurposeMost existing methods for concrete crack detection are based on deep learning techniques such as convolutional neural networks. However, these models, due to their large memory footprint, high power consumption and insufficient feature extraction capabilities, face challenges in mobile applications. To address these issues, this paper proposes a lightweight spiking neural network detection model.Design/methodology/approachThis model achieves fast and accurate crack detection. Firstly, the Gabor-Spiking (GS) module preprocesses input images, extracting texture features and edge features of crack images through Gabor filter convolution modules and spiking convolution modules, respectively. Next, the multiscale residual (MR) module is designed, composed of convolutional layers and residual modules of various scales, to process the fused features and perform crack detection.FindingsExperimental results demonstrate that the model’s size can be reduced to 4.6 MB, achieving accuracy improvements to 87.3 and 96.4% on the SDNET and OCD datasets, respectively.Originality/valueThis paper proposes a lightweight spiking neural network detection model based on the GS module for edge texture feature fusion and the MR module for crack detection.
Climate-sensitive training for sustainable business in Dickson County with global applications
Authors: Bilderback Stephanie 
Published: October 2024

Purpose
This paper aims to examine the implementation and impact of climate-sensitive training programs tailored to the specific climate risks and business needs of Dickson County, Tennessee. It aims to emphasize the importance of integrating climate adaptation strategies into business training and to propose a replicable model that can be adapted to regions facing similar challenges, contributing to global sustainability efforts.

Design/methodology/approach
The research uses Dickson County’s climate profile as a case study, analyzing its impact on local businesses in sectors such as agriculture, manufacturing and tourism. This paper integrates theoretical frameworks, including organizational learning and adaptive capacity, to provide practical strategies for climate-sensitive training. It further incorporates insights from local institutions, industry partnerships and public data, using a qualitative approach to analyze key themes related to training effectiveness and sustainability.

Findings
The findings demonstrate that climate-sensitive training significantly enhances the resilience and sustainability of businesses by preparing them to address local climate challenges. Critical factors for successful implementation include stakeholder engagement, industry-specific customization and the continuous evaluation of training outcomes. The model presented shows promise for broader applicability in other regions, especially when localized climate data and collaborative efforts are integrated.

Originality/value
This paper provides a novel, region-specific approach to climate-sensitive training, distinguishing itself by combining theoretical insights with practical strategies for businesses. By focusing on localized adaptation and stakeholder collaboration, the model addresses an existing gap in the literature on climate adaptation training for smaller, climate-vulnerable regions. This work offers a replicable and scalable framework that contributes to the global discourse on sustainable development and climate resilience in business practices.
Barriers influencing the sustainable development of community-based tourism (CBT): evidence from Ciaotou heritage village in Taiwan
Authors: Liang Austin Rong-Da , Loo Poh Theng , Kuan Fu-Yung 
Published: October 2024

PurposeIn recent years, community-based tourism (CBT) in the global market has been combined with specific themes in order to establish various tourism activities. Relatively few studies have comprehensively investigated how this type of CBT should be developed. Therefore, this study takes CBT with festival themes combined with community characteristics as a case study, which explores what obstacles exist in CBT with a combination of community characteristics – the industrial history of sugar factories and external themes, such as, formal flower displays.Design/methodology/approachThe thematic analysis is employed for data analysis of interviews. All interview participants were stakeholders.FindingsThis study identifies five types of obstacles: policy-related, environmental-related, innovation-related, industry-related and communication-related. Based on these findings, it is vital to consider both community and other characteristics of CBT. At the same time, after evaluating the rational perceptions of different stakeholders within the same type of obstacle, this study proposes a more specific and comprehensive development strategies for CBT.Originality/valueTo the best of the authors' knowledge, this is the first study of community agricultural tourism which collected the viewpoints of different stakeholders – tourists, residents, community associations, local businesses and the government. This study employs in-depth analysis of external policies and environmental and agricultural factors to discover and develop relevant coping strategies and implications.
Individual decision styles as predictors for bias susceptibility and bias blind spots in managerial decisions
Authors: Muntwiler Christian , Eppler Martin J. , Unfried Matthias , Buder Fabian 
Published: October 2024

Purpose
This paper aims to managerial decision styles, following the General Decision-Making Style Inventory, as potential predictors of individual bias awareness and bias blind spots, with a focus on the rational decision style.

Design/methodology/approach
The research is based on a survey of 500 C-1 level managers within Forbes 2000 companies. It explores their decision styles and their assessments of their own and others’ decision behavior.

Findings
The results show that the awareness of one’s own susceptibility to biases and bias blind spots is highly dependent on an individual’s (self-declared) decision style and type of cognitive bias; decision-makers with a strong tendency toward a rational or spontaneous decision style see themselves as less vulnerable to cognitive biases but also show a much stronger bias blind spot than those with a tendency toward other decision styles. Meanwhile, decision-makers with a strong tendency toward an intuitive decision style tend to recognize their own vulnerability to cognitive biases and even show a negative blind spot, thus seeing themselves as more affected by cognitive biases than others.

Originality/value
To date, decision styles have not been used as a lens through which to view susceptibility to cognitive biases and bias blind spots in managerial decision-making. As demonstrated in this article, decision styles can serve as predictors of individual awareness and susceptibility to cognitive biases and bias blind spots for managers.
Improving accessibility, engagement and usefulness of online information literacy tutorials based on student feedback
Authors: Trask Gina M. 
Published: October 2024

PurposeIn order to evaluate a new series of online information literacy tutorials, students in a first-year experience program were invited to take a perception survey. The survey asked respondents if they perceived the tutorials to be accessible, engaging and useful. The feedback informed changes to tutorial learning objects in order to improve student learning of information literacy concepts.Design/methodology/approachData were collected using a survey instrument comprised of quantitative and qualitative questions about online tutorial accessibility, engagement and usefulness. All students enrolled in first-year experience courses at the end of the Fall 2022 semester were invited to take the survey.FindingsThe results suggest that the majority of respondents perceive the tutorials as useful for completing college-level assignments (62.5%) and easy to access and navigate (85%). Ratings for engagement are mixed; less than half of respondents perceive the tutorials to be engaging (44%). Analysis of qualitative questions may point to a connection between the perceived usefulness of a tutorial and a user’s engagement with the material.Originality/valueThis paper discusses the evaluation of tutorials comprised of vendor-produced content mixed with institutionally created content. It includes the survey instrument designed to collect student perceptions of these tutorials.
Exploring financial graph literacy: determinants and influence on financial behavior
Authors: Barone Marco , Bussoli Candida , Fattobene Lucrezia 
Published: October 2024

PurposeGraphs are widely used in the banking and finance domain to support consumers’ decision-making process, but subjects differ in their ability to understand them. This study aims to detect the determinants of the ability to read and process financial information conveyed in the graphical format, i.e. financial graph literacy (FGL) and the relationship between FGL and subjects’ actual financial behavior (FB).Design/methodology/approachData are collected by administering a structured questionnaire to the Italian adult population (n= 502). The survey includes different sections aimed at collecting information about sociodemographic and socioeconomic variables, financial literacy and FB. The econometric analyses are developed using OLS and Poisson regressions.FindingsThe results show that gender, geographical area, education, marital status and income are crucial determinants of FGL. Moreover, the analysis reveals that an increase in the FGL indicator is associated with a higher propensity for individuals to purchase banking or financial products or actively manage financial resources; results are robust, even controlling for financial knowledge.Originality/valueAlthough previous research investigates the impact of graphs in financial decision-making, no studies measure the ability of consumers to read and interpret financial information conveyed in the graphical format. This study is the first to investigate the determinants of FGL and link it to actual FB. Implications for policymakers, regulatory and supervisory authorities and financial intermediaries are discussed.
Addressing health inequality and inequity for people with intellectual disabilities: a collective responsibility for all nurses
Authors: McMahon Martin , Doyle Carmel , Burke Éilish , Fleming Sandra , Cleary Michelle , Byrne Kathleen , McGlinchey Eimear , Keenan Paul , McCarron Mary , Horan Paul , Sheerin Fintan 
Published: October 2024

Purpose
People with intellectual disabilities are high users of acute hospital care. Given their varied and often complex health-care needs, they often experience health inequalities and inequities, contributing to poorer health outcomes. As nurses are the largest health-care workforce with a patient-facing role, they have an important responsibility in meeting this populations health needs. The purpose of this paper is to explore key issues relating to the role nurses play in providing equitable health care for people with intellectual disabilities.

Design/methodology/approach
This service feature draws upon relevant literature to examine key contextual issues highlighting the importance of nurses in providing equitable health care for people with intellectual disabilities.

Findings
The findings from this service feature highlight the importance of nurses taking a leadership role in advocating for, and actively supporting the health needs of people with intellectual disabilities. Nurses’ leadership role, along with implementing reasonable adjustments, should be underpinned by education and training relating to the bespoke health needs of people with intellectual disabilities. This should help nurses promote the health and well-being of this population.

Originality/value
Addressing this populations health needs is a collective responsibility of all nurses. There are many examples of how nurses can be supported through policy, education, training and advocacy and this needs to be considered by key stakeholders and addressed as a matter of priority.
Women who pay their own brideprice: reimagining provider masculinity through Uganda's thriving wedding industry
Authors: Moore Erin V. , Schneidermann Nanna 
Published: October 2024

AbstractIn Uganda, the ‘traditional’ wedding, wherein a groom brings money and gifts to his father‐in‐law's home, has long been understood as the ultimate demonstration of a man's social maturity. Yet masculine adulthood is becoming increasingly elusive as weddings become more difficult to afford. Widespread unemployment has rendered most young men unable to fund the rituals while weddings themselves have become exceptionally lavish: brideprice payments now include ‘cows’, or millions of Ugandan shillings, as well as furniture sets, refrigerators, televisions, and even cars. With wedding expenses surging and their fiancés out of work, women have begun ‘paying their own brideprice’, as Ugandans say, by contributing substantially to wedding costs. In this article, we explore this oft‐debated phenomenon. We propose that the emergence of women who pay their own brideprice has invited a broad reimagining of the gendered economic ideologies that tether men to money under the rubric of provider masculinity. That celebratory, seemingly innocuous events such as weddings occasion the questioning of hegemonic forms of masculinity is particularly notable in Uganda, where gender conservatism dominates public discourse. Beyond Uganda, our case suggests revisiting the normative as a potent site for observing gendered social change.
The relationship between glucose patterns in OGTT and adverse pregnancy outcomes in twin pregnancies
Authors: Tang Wei‐Zhen , Cai Qin‐Yu , Zhao Yi‐Fan , Chen Hao‐wen , Lan Xia , Li Xia , Wen Li , Wang Ying‐Xiong , Liu Tai‐Hang , Wang Lan 
Published: October 2024

AbstractBackgroundTraditional fixed thresholds for oral glucose tolerance test (OGTT) results may inadequately prevent adverse pregnancy outcomes in twin pregnancies. This study explores latent OGTT patterns and their association with adverse outcomes.MethodsThis study retrospectively analyzed 2644 twin pregnancies using latent mixture models to identify glucose level patterns (high, HG; medium, MG; and low, LG) and their relationship with maternal/neonatal characteristics, gestational age at delivery, and adverse outcomes.ResultsThree distinct glucose patterns, HG, MG, and LG patterns were identified. Among the participants, 16.3% were categorized in the HG pattern. After adjustment, compared with the LG pattern, the HG pattern was associated with a 1.79‐fold, 1.66‐fold, and 1.32‐fold increased risk of stillbirth, neonatal respiratory distress, and neonatal hyperbilirubinemia, respectively. The risk of neonatal ICU admission for MG and HG patterns increased by 1.22 times and 1.32 times, respectively, compared with the LG pattern. As gestational weeks increase, although there is an overlap in the confidence intervals between the HG pattern and other patterns in the restricted cubic splines analysis, the trend suggests that pregnant women with the HG pattern are more likely to face risks of their newborns requiring neonatal intensive care unit admission, and adverse comprehensive outcomes, compared with other patterns. In addition, with age and body mass index increasing in HG mode, gestation weeks at delivery tend to be later than in other modes.ConclusionDistinct OGTT glucose patterns in twin pregnancies correlate with different risks of adverse perinatal outcomes. The HG pattern warrants closer glucose monitoring and targeted intervention.image
A Snakemake Toolkit for the Batch Assembly, Annotation and Phylogenetic Analysis of Mitochondrial Genomes and Ribosomal Genes From Genome Skims of Museum Collections
Authors: White Oliver W. , Hall Andie , Price Ben W. , Williams Suzanne T. , Clark Matthew D. 
Published: October 2024

ABSTRACTLow coverage ‘genome‐skims’ are often used to assemble organelle genomes and ribosomal gene sequences for cost‐effective phylogenetic and barcoding studies. Natural history collections hold invaluable biological information, yet poor preservation resulting in degraded DNA often hinders polymerase chain reaction‐based analyses. However, it is possible to generate libraries and sequence the short fragments typical of degraded DNA to generate genome‐skims from museum collections. Here we introduce a snakemake toolkit comprised of three pipelines skim2mito, skim2rrna and gene2phylo, designed to unlock the genomic potential of historical museum specimens using genome skimming. Specifically, skim2mito and skim2rrna perform the batch assembly, annotation and phylogenetic analysis of mitochondrial genomes and nuclear ribosomal genes, respectively, from low‐coverage genome skims. The third pipeline gene2phylo takes a set of gene alignments and performs phylogenetic analysis of individual genes, partitioned analysis of concatenated alignments and a phylogenetic analysis based on gene trees. We benchmark our pipelines with simulated data, followed by testing with a novel genome skimming dataset from both recent and historical solariellid gastropod samples. We show that the toolkit can recover mitochondrial and ribosomal genes from poorly preserved museum specimens of the gastropod family Solariellidae, and the phylogenetic analysis is consistent with our current understanding of taxonomic relationships. The generation of bioinformatic pipelines that facilitate processing large quantities of sequence data from the vast repository of specimens held in natural history museum collections will greatly aid species discovery and exploration of biodiversity over time, ultimately aiding conservation efforts in the face of a changing planet.
Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring
Authors: Darras Kevin F. A. , Balle Marcel , Xu Wenxiu , Yan Yang , Zakka Vincent G. , Toledo‐Hernández Manuel , Sheng Dong , Lin Wei , Zhang Boyu , Lan Zhenzhong , Fupeng Li , Wanger Thomas C. 
Published: October 2024

Abstract

We need comprehensive information to manage and protect biodiversity in the face of global environmental challenges, and artificial intelligence is required to generate that information from vast amounts of biodiversity data. Currently, vision‐based monitoring methods are heterogenous; they poorly cover spatial and temporal dimensions, overly depend on humans, and are not reactive enough for adaptive management.

To mitigate these issues, we present a portable, modular, affordable and low‐power device with embedded vision for biodiversity monitoring of a wide range of terrestrial taxa. Our camera uses interchangeable lenses to resolve barely visible and remote targets, as well as customisable algorithms for blob detection, region‐of‐interest classification and object detection to automatically identify them. We showcase our system in six use cases from ethology, landscape ecology, agronomy, pollination ecology, conservation biology and phenology disciplines.

Using the same devices with different setups, we discovered bats feeding on durian tree flowers, monitored flying bats and their insect prey, identified nocturnal insect pests in paddy fields, detected bees visiting rapeseed crop flowers, triggered real‐time alerts for waterfowl and tracked flower phenology over months. We measured classification accuracies (i.e. F1‐scores) between 55% and 95% in our field surveys and used them to standardise observations over highly resolved time scales.

Our cameras are amenable to situations where automated vision‐based monitoring is required off the grid, in natural and agricultural ecosystems, and in particular for quantifying species interactions. Embedded vision devices such as this will help addressing global biodiversity challenges and facilitate a technology‐aided agricultural systems transformation.
Use and perceptions of involuntary civil commitment among post‐overdose outreach staff in Massachusetts, United States: A mixed‐methods study
Authors: Cummins Emily R. , Walley Alexander Y. , Xuan Ziming , Yan Shapei , Schoenberger Samantha F. , Formica Scott W. , Bagley Sarah M. , Beletsky Leo , Green Traci C. , Lambert Audrey , Carroll Jennifer J. 
Published: October 2024

AbstractBackground and aimsInvoluntary civil commitment (ICC) is a legal process by which people are compulsorily admitted to substance use treatment. This study explored views about and promotion of ICC procedures for substance use disorders among public health‐public safety post‐overdose outreach programs and their outreach team members in Massachusetts, USA.DesignIn this mixed‐methods study, survey data were collected from post‐overdose outreach programs in 2019, and semi‐structured interviews were conducted with outreach team members in 2019 and 2020.SettingMassachusetts, USA.ParticipantsWe received 138 survey responses and conducted 38 interviews with post‐overdose outreach team members (law enforcement officers, recovery coaches, social workers and harm reductionists) who were majority male (57%) and white (66%).MeasurementsWe used the survey instrument to categorize programs as more (discussed ICC at 50% or more of outreach encounters) or less ICC focused (discussed ICC at less than 50% of outreach encounters) and to identify program characteristics that corresponded with each categorization. Semi‐structured interviews explored staff perceptions of ICC effectiveness.FindingsAmong 138 programs, 36% (n = 50) discussed ICC at 50% or more of outreach encounters. Discussing ICC at a majority of visits was positively associated with abstinence‐only program philosophies (36% v. 6%, P < 0.001) and collaborating with drug courts (60% v. 30%, P < 0.001), but negatively associated with naloxone distribution (48% v. 75%, P < 0.001) and referring to syringe service programs (26% v. 65%, P < 0.001). Qualitative interviews identified three themes: 1) some programs viewed ICC as a first line tool to engage overdose survivors in treatment; 2) other programs considered ICC a last resort, skeptical of its benefits and concerned about potential harms; 3) families commonly initiated discussions about ICC, reportedly out of desperation.ConclusionsPromotion of involuntary civil commitment (ICC) appears to vary widely across post‐overdose outreach programs in Massachusetts, USA, with approaches ranging from seeing it as a first step to treatment to being a tool of last resort. Demand for ICC among family members may relate to inadequate access to voluntary treatment. Family interest in ICC appears to be driven by inadequate availability of treatment and other services. ICC at post‐overdose outreach visits should be limited, if used at all.