bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining traumatic brain injury as a risk factor for violent offending: testing for cognitive and affective mediation
Authors: Wojciechowski Thomas 
Published: April 2024

Purpose
While prior research has established that traumatic brain injury (TBI) is a risk factor for violent offending, there is little understanding of mechanisms that may underpin this relationship. This is problematic, as a better understanding of these mechanisms could facilitate more effective targeting of treatment. This study aims to address these gaps in the extant literature by examining TBI as a predictor of violent offending and test for mediation effects through cognitive constructs of dual systems imbalance and hostility among a sample of justice-involved youth (JIY).

Design/methodology/approach
The Pathways to Desistance data were analyzed. The first three waves of this data set comprising the responses of 1,354 JIY were analyzed. Generalized structural equation modeling was used to test for direct and indirect effects of interest. A bootstrap resampling process was used to compute unbiased standard errors for determining the statistical significance of mediation effects.

Findings
Lifetime experience of TBI was associated with increased violent offending frequency at follow-up. Hostility significantly mediated this relationship, but dual systems imbalance did not. This indicated that programming focused on reducing hostility among JIY who have experienced TBI could aid in reducing violent recidivism rates.

Originality/value
To the best of the author’s knowledge, this study was the first to identify significant mediation of the relationship between TBI and violent offending through hostility.
New measures of Islamic social finance receptiveness index
Authors: Amin Hanudin 
Published: April 2024

PurposeThis study investigated the receptivity of the zakat wakalah system in social finance in Malaysia under the lens of innovation diffusion theory (IDT).Design/methodology/approachThis study conducted quantitative research using Google Forms. The sample size was 261 respondents who participated and were useable in this study. The Statistical Package of Social Science (SPSS) 27 was employed to analyse the data. The data were collected online from August 1 till August 31, 2022.FindingsThe results reported significant effects of relative advantage, simplicity, compatibility and perceived benevolence on the zakat wakalah receptiveness index (ZAWi) for Medium Group Acceptance (MEGA) and High Group Acceptance (HIGA). As for Low Group Acceptance (LOGA), insignificant results were reported in relative advantage, compatibility and perceived benevolence but not simplicity.Research limitations/implicationsThis study was limited to Labuan geographically, Malaysia and the variables employed. Yet, the results highlight the factors that influenced ZAWi and the two groups namely HIGA and MEGA found them all significant.Practical implicationsThis study enhanced the theoretical and practical effects of ZAWi. The results rendered a competitive benchmark for zakat institutions and zakat payers for improved zakat distribution policy.Social implicationsThis study advanced psychology and management theory by improving knowledge of zakat wakalah for effective zakat distribution. In turn, it can be employed as the baseline theory for future studies to enhance existing hypotheses.Originality/valueThis study introduced a new ZAWi formulated from IDT in the context of zakat distribution in Malaysia.
A study of the influence of social skills on partnership support and social performance
Authors: Choi Youngkeun 
Published: April 2024

PurposeThis study systematically assesses and empirically examines the research question: How do social skills influence resource acquisition and social performance? Specifically, this study applies RBV theory from strategy to link social skills, resource conditions and the performance of social enterprises.Design/methodology/approachFor this, we surveyed social enterprises in Korea to collect data and used SPSS 18.0 for hierarchical regression analysis.FindingsIn the Korean context, first, the results show that all social skills of social entrepreneurs are positively related to social performance. Second, among independent variables, self-promotion is positively associated with financial support and expressiveness is positively associated with marketing support. However, the rest of the independent variables have no significance. Finally, obtaining financial support from their partner mediates the relationship between self-promotion and social ventures' social performance, and obtaining marketing support from their partner mediates the relationship between expressiveness and social ventures' social performance.Originality/valueThis study provides two contributions. First, this is the first study to apply and test the RBV systematically and empirically in the context of social enterprises. Second, the results suggest that social skills and support types are important to social value creation.
Differential metamaterial based sensor for solid dielectric characterization with improved sensitivity
Authors: Singh Kunal Kumar , Kumar Mahto Santosh , Sinha Rashmi 
Published: April 2024

Purpose
The purpose of this study is to introduce a new type of sensor which uses microwave metamaterials and direct-coupled split-ring resonators (DC-SRRs) to measure the dielectric properties of solid materials in real time. The sensor uses a transmission line with a bridge-type structure to measure the differential frequency, which can be used to calculate the dielectric constant of the material being tested. The study aims to establish an empirical relationship between the dielectric properties of the material and the frequency measurements obtained from the sensor.

Design/methodology/approach
In the proposed design, the opposite arm of the bridge transmission line is loaded by DC-SRRs, and the distance between DC-SRRs is optimized to minimize the mutual coupling between them. The DC-SRRs are loaded with the material under test (MUT) to perform differential permittivity sensing. When identical MUT is placed on both resonators, a single transmission zero (notch) is obtained, but non-identical MUTs exhibit two split notches. For the design of differential sensors and comparators based on symmetry disruption, frequency splitting is highly useful.

Findings
The proposed structure is demonstrated using electromagnetic simulation, and a prototype of the proposed sensor is fabricated and experimentally validated to prove the differential sensing principle. Here, the sensor is analyzed for sensitivity by using different MUTs with relative permittivity ranges from 1.006 to 10 and with a fixed dimension of 9 mm × 10 mm ×1.2 mm. It shows a very good average frequency deviation per unit change in permittivity of the MUTs, which is around 743 MHz, and it also exhibits a very high average relative sensitivity and quality factor of around 11.5% and 323, respectively.

Originality/value
The proposed sensor can be used for differential characterization of permittivity and also as a comparator to test the purity of solid dielectric samples. This sensor most importantly strengthens robustness to environmental conditions that cause cross-sensitivity or miscalibration. The accuracy of the measurement is enhanced as compared to conventional single- and double-notch metamaterial-based sensors.
Accessible tourism: tourists with physical disability - segmentation based on perceived travel barriers
Authors: Tao Changjiang (Bruce) , Huang Songshan (Sam) , Wang Jin , Qiao Guanghui 
Published: April 2024

PurposeThis study aims to explore the heterogeneity of the tourist market for people with a physical disability (PwPD) based on travel barriers, to serve them better, from a tourism marketing perspective.Design/methodology/approachA market segmentation analysis was conducted on a sample of 480 PwPD in Sichuan Province, China, based on their perceived travel barriers. Data were obtained through three on-site and four online surveys. A four-step factor-item mixed segmentation, including factor analysis, cluster analysis, discriminant analysis and chi-square tests, was applied to examine the differences among PwPD tourist market segments in terms of various demographic characteristics, disability conditions (e.g. duration of disabilities and causes of impairment) and travel features (e.g. travel frequency and tourist destinations).FindingsThis study revealed that the PwPD tourist market is heterogeneous due to individual perceived travel barriers. Three market segments were identified, namely, the Explorer Moderates group, the Explorer Minimals group and the Explorer Intensives group. Additionally, the three market segments were found to have significant differences in terms of travel barriers, demographic characteristics, travel features and disability conditions.Practical implicationsThis research provides suggestions for authorities and private entities to optimize the layout of accessible facilities in public areas for the benefit of all. It also offers crucial implications for tourism marketers to determine the key facets of marketing, for travel organizers to evolve the organization of travel groups for PwPD, and for practitioners to provide personalized tourism services.Originality/valueTo the best of the authors’ knowledge, this study is the first to apply perceived travel barriers as a market segmentation criterion in understanding PwPD as a heterogeneous travel market. The findings of this study initially expand the scope of application of the travel barrier model and deepen understanding of the Chinese PwPD tourist market from a marketing perspective. The study results elucidated the heterogeneity and characteristics of this market through a four-step factor-item mixed segmentation approach, offering new insights into the behaviors and experiences of travelers with disabilities.
Forward and inversion approach for direct current resistivity based on an unstructured mesh and its application to tunnel engineering
Authors: Deng Zhaoyang , Li Zhiqiang , Nie Lichao , Zhang Shilei , Han Lei , Li Yuancheng 
Published: April 2024

AbstractThe accurate identification of water‐bearing structures is urgently required for the safe construction of tunnel engineering. Currently, the direct current resistivity method is an effective method for detecting water‐bearing structures in tunnels. In the advanced detection of the direct current resistivity based on the finite element method, the traditional hexahedron mesh performs poorly for the discretization of models of complex tunnel structure sections such as horseshoe‐shaped and round sections. Therefore, this study adopts unstructured grid generation technology combining tetrahedra and hexahedra to achieve more accurate modelling of complex structures, such as round and horseshoe‐shaped sections, and establishes a forward modelling method of the direct current resistivity in tunnels based on an unstructured mesh. The maximum error between the numerical simulation and theoretical results for an infinite tabular body in full space is less than 0.8%. It is more complicated to calculate the sensitivity matrix and model constraint term for the inversion region containing two types of grid than for one. For this purpose, the sensitivity matrix of different types of grid areas is calculated, a model constraint term based on the dual constraints of volume and distance is constructed, and finally, a partitioned domain‐weighted least‐squares inversion method based on an unstructured mesh is proposed. Synthetic examples of typical water‐bearing structures are analysed, and the results show that the proposed forward and inverse methods of the direct current resistivity in tunnels based on an unstructured mesh can effectively capture the position and morphology of the water‐bearing structure. Finally, an on‐site application was conducted in the Yellow River Diversion Project in central Shanxi. The proposed method could effectively identify the water body in front of the tunnel face and guide the on‐site construction of the project. These results can improve the interpretation of the direct current resistivity data in tunnels and play a positive role in promoting the use of the direct current resistivity method to prevent and control water‐inrush disasters in tunnels with complex structures.
Dutch landscapes have lost insect‐pollinated plants over the past 87 years
Authors: Pan Kaixuan , Marshall Leon , de Snoo Geert R. , Biesmeijer Jacobus C. 
Published: April 2024

Abstract

The interruption of plant‐pollinator interactions may threaten global plant diversity, food security and ecosystem stability. Recent reports of strong declines in both insects and plants point to insect decline as a driver of plant decline. However, it is still unknown whether these trends are related as plants often produce seeds without the need for insect pollinators, and to what extent insect‐pollinated plants have declined in relation to plants not pollinated by insects.

In this study, we hypothesise that natural plant communities have shifted away from insect‐pollination. We combined 365,768 vegetation plots from 1930 to 2017 in the Netherlands and plant traits to assess the changes in occurrences of plants pollinated by different modes. Furthermore, we included key drivers in plant decline—specifically nitrogen, moisture and habitat types—as interaction factors to explore the persistence of the observed changes under different environmental conditions.

The proportion of insect‐pollinated plants has declined while that of wind‐pollinated plants has increased over the last 87 years. This proportional change reflects an absolute decrease in the number of insect‐pollinated species and an increase in the number of wind‐pollinated species.

Synthesis and applications. This study implies that Dutch landscapes are losing insect‐pollinated plant species, which is likely due, at least in part, to the decline in pollination services. Our results of quantifying the decline in insect‐pollinated plants support the necessity and urgency of taking conservation initiatives. Several management strategies and policy recommendations could be applied to alleviate the decline of insect‐pollinated plants and ensure crop safety. For example, conserving natural environments by reducing nitrogen deposition may support local plants and insect pollinators. Additionally, there is a particular need for focused efforts to protect natural grasslands, as these areas harbour many insect‐pollinated plants, which have experienced declines. Finally, monitoring and assessing the state of both pollinators and (insect‐pollinated) plants is needed to assess the progress of conservation measures. While recognising the interdependence of pollinators and pollinated plants, it is crucial to extend efforts beyond pollinator conservation alone to effectively safeguard insect‐pollinated plants and ensure crop safety.
Sibling stories of parental mental distress
Authors: O'Neill Wendy , Nel Pieter W. , Horley Nic , Nolte Lizette 
Published: April 2024

AbstractThis paper reports on the results of a study exploring sibling stories of parental mental distress and the societal discourses that may have contributed to the adult siblings' sense‐making. Four sibling pairs were purposively recruited and interviewed, using a narrative inquiry approach. Two main plots were constructed through analysis of the participants' narratives: ‘The story of us’ and ‘We are who we are because of what happened’. Results highlighted that the identity construction of each sibling and the collective identities of the sibling pairs are influenced by the parental mental health context. The findings also suggest a change in the siblings' meaning‐making from childhood to adulthood. These findings are considered along with the implications for systemic practice and research.
MOVEMENT TO COASTAL TOWNS IN TURKEY: Urban Rescaling, Local Deregulation and New Prospects for the Predatory Construction Sector
Authors: Demirtaş‐Milz Neslihan , Memişoğlu‐Gökbinar Dilek , Aktaş Derya , Ebe‐Güzgü Pinar 
Published: April 2024

AbstractIn Turkey, as in many Mediterranean countries, the Covid‐19 pandemic enhanced the mobility of the country's affluent classes to coastal towns. Many decided to settle there permanently, either by making their second homes their main residences, or by purchasing or renting new property. This has created severe social, infrastructural and environmental problems in these towns because of transformed demographics, a largely unregulated construction boom, increased renovation activities and an unprecedented rise in real‐estate and consumer‐goods prices. In this article we contextualize these problems in relation to the Justice and Development Party's neoliberal policies of urban governance and rescaling in the past 15 years. The government, having given the construction sector the main role in Turkey's economic development, subsequently granted it new spatial opportunities through the authoritarian and centralized allocation of urban and rural land. Coastal towns have been the target of unregulated urban growth and predatory construction in this process and have thus provided new spatial development prospects. Local governmental reform in 2012, which introduced radical urban rescaling and weakened district municipalities’ planning and regulation capacities, further intensified the process. These factors have had a severe impact on coastal towns and their middle‐income residents, who face new mobility pressures.
RACIAL INEQUITY IN GREEN INFRASTRUCTURE AND GENTRIFICATION: Challenging Compounded Environmental Racisms in the Green City
Authors: Lewartowska Emilia , Anguelovski Isabelle , Oscilowicz Emilia , Triguero‐Mas Margarita , Cole Helen , Shokry Galia , Pérez‐del‐Pulgar Carmen , Connolly James JT 
Published: April 2024

AbstractThis article explores the role that green gentrification plays in exacerbating racial tensions within historically marginalized urban communities benefiting from new environmental amenities such as parks, gardens, waterfront restoration and greenways. Building on extensive qualitative data from three cities in Europe (Amsterdam, Vienna, Lyon) and four cities in the United States (Washington, Austin, Atlanta, Cleveland), we use thematic analysis and grounded theory to examine the complex relationship between historical environmental and racial injustices and current racial green inequities produced by the green city agenda. Our analysis also offers insights into the main differences in how community members articulate concerns and demands over racial issues related to green gentrification in Europe versus North America. Results show that urban greening—and green gentrification specifically—can create ‘compounded environmental racisms’ by worsening racial environmental injustices and further perpetrating green racialized displacement, re‐segregation and exclusion. The latter is produced by the racial inequities embedded in green infrastructure projects and the related unequal access to environmental benefits, affordable housing, political rights and place‐making. Moreover, we find that settler colonial practices combined with persisting exposure to toxins and re‐segregation in the United States together with neocolonial spatial and social practices in Europe shape how racialized community members perceive and interact with new green amenities.
The impact of natural resources rent, renewable energy, and governance on the environmental sustainability—Evidence from resource‐rich countries
Authors: Shuayb Ayman Shuayb Sulayman , Dube Sindiso , Khalifa Wagdi , Deka Abraham , Kareem Ponle Henry , Cavusoglu Behiye 
Published: April 2024

AbstractNatural resources are vital in alleviating the effects imposed by human activities on the environment. For this reason, the preservation and wise utilization of natural resources has been emphasized and some laws toward ensuring that natural resources are not wasted have been put in place. However, high rents on natural resources are not sustaining. By following the STIRPAT model, this research seeks to assess the role played by natural resources rent, the rule of law, and renewable energy in alleviating the damage caused to the environment by human activities. The present research furthers the growing body of literature on the topic, which constitutes its primary contribution. To attain this goal, the dataset of the top 10 natural resource‐rich African countries, for the time range 1990 to 2021 is used. The dynamic Cross‐sectional Autoregressive Distributive Lag (CS‐ARDL) which overcomes heterogeneity, cross‐sectional dependence (CD), and dynamics is used in the analysis of the research model. The Augmented Mean Group (AMG) and the dynamic Common Correlated Estimator Mean Group (CCEMG) methods are employed to check the robustness of CS‐ARDL results. The findings illustrate that economic growth, natural resources rent, and energy intensity promote environmental damage, while renewable energy (RE) and the rule of law lessen it. This research advocates for the reduction and stabilization of natural resources rent, extensive use of RE, and improvements in the rule of law to alleviate environmental damage.
Efficacy and safety of bexagliflozin compared with dapagliflozin as an adjunct to metformin in Chinese patients with type 2 diabetes mellitus: A 24‐week, randomized, double‐blind, active‐controlled, phase 3 trial
Authors: Xie Lingding , Han Jie , Cheng Zhifeng , Liu Dexue , Liu Jie , Xu Chunrong , Sun Wenli , Li Qingju , Bian Fang , Zhang Wei , Chen Jinyu , Zhu Qian , Thurber Tara K. , Lock J. Paul , Zhang Bo 
Published: April 2024

AbstractBackgroundBexagliflozin and dapagliflozin are sodium‐glucose cotransporter‐2 (SGLT2) inhibitors. No direct comparison of SGLT2 inhibitors in a randomized controlled trial has been reported to date.MethodsThis was a multicenter, randomized, double‐blind, active‐controlled trial comparing bexagliflozin to dapagliflozin for the treatment of type 2 diabetes mellitus in adults with disease inadequately controlled by metformin. Subjects (n = 406) were randomized to receive bexagliflozin (20 mg) or dapagliflozin (10 mg) plus metformin. The primary endpoint was noninferiority of bexagliflozin to dapagliflozin for the change in glycated hemoglobin (HbA1c) from baseline to week 24. Secondary endpoints included intergroup differences in fasting plasma glucose (FPG), 2‐h‐postprandial glucose (PPG), body weight, and systolic blood pressure (SBP) from baseline to week 24. The trial also evaluated the safety profiles.ResultsThe model‐adjusted mean change from baseline to week 24 HbA1c was −1.08% for bexagliflozin and −1.10% for dapagliflozin. The intergroup difference of 0.03% (95% confidence interval [CI] −0.14% to 0.19%) was below the prespecified margin of 0.4%, confirming the noninferiority of bexagliflozin. The changes from baseline in FPG, PPG, body weight, and SBP were −1.95 mmol/L, −3.24 mmol/L, −2.52 kg, and −6.4 mm Hg in the bexagliflozin arm and −1.87 mmol/L, −3.07 mmol/L, −2.22 kg, and −6.3 mm Hg in the dapagliflozin arm. Adverse events were experienced in 62.6% and 65.0% and serious adverse events affected 4.4% and 3.5% of subjects in the bexagliflozin and dapagliflozin arm, respectively.ConclusionsBexagliflozin showed nearly identical effects and a similar safety profile to dapagliflozin when used in Chinese patients on metformin.image