bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association of serum manganese concentrations with all-cause, cardiovascular disease and cancer mortality: A cohort study based on the 2011–2014 National Health and Nutrition Examination Survey (NHANES)
Authors: Tang Jie , Zhu Li-Qun , Chen Xiao-Feng , Jin Ke , Shu Yong-Qian 
Published: December 2024

Abstract

Objectives
There is a debate on the association between the circulating manganese (Mn) levels and mortality. The aim of this study was to explore the nonlinear association between the serum Mn levels and all-cause or cause-specific mortality.

Methods
We included 8,145 adults from the United States (US) and their serum Mn concentrations obtained from the National Health and Nutrition Examination Survey (NHANES 2011–2014). We retrieved their survival information from baseline until 2019 using the national death index. Multivariable Cox proportional hazards models were used to show the risk of all-cause or cause-specific mortality according to the baseline serum Mn concentrations. Smooth curve fitting and threshold effect analyses were used to clarify the potential nonlinearity.

Results
During a median follow-up of 6.2 years, there were 716 deaths from all causes, 224 of which were due to cardiovascular disease (CVD) and 165 due to cancer. The serum Mn levels exhibited a U-shaped relationship with all-cause or CVD-associated mortality. Serum Mn levels lower than the threshold value (7.32 μg/L) were negatively associated with all-cause (fully adjusted HR: 0.86, 95% CI: 0.80–0.94) and CVD (fully adjusted HR: 0.82, 95% CI: 0.71–0.94) mortality. In contrast, serum Mn levels higher than the threshold value (7.32 μg/L) were positively associated with all-cause (fully adjusted HR: 1.04, 95% CI: 1.02–1.06) and CVD (fully adjusted HR: 1.05, 95% CI: 1.02–1.08) mortality.

Conclusions
The serum Mn concentrations showed a U-shaped relationship with all-cause and CVD-associated mortality among NHANES participants.
National Preceptor Competency Consensus Study
Authors: Ulrich Beth , Harper Mary G. , Maloney Patsy , Warren Joan Insalaco , Whiteside Dawn , MacDonald Ryan 
Published: December 2024

OBJECTIVE
The aim of this study was to develop a consensus model of required preceptor competencies to inform preceptor selection, development, support, and assessment.

BACKGROUND
The preceptor role is complex and multifaceted, requiring knowledge and skills beyond the typical RN role; however, no nationally developed standards for preceptor competencies exist.

METHODS
A mixed-method approach (national survey of preceptors, electronic Delphi, expert panel) was used to develop consensus on required preceptor competencies.

RESULTS
This study identified and validated definitions for the preceptor role domains (role model, teacher/coach, facilitator, protector, socialization agent, leader/influencer, and evaluator), essential attributes for preceptors, core competencies spanning all role domains, and competencies in each role domain—components that together form the preceptor competency model.

CONCLUSION
The evidence provided from this study delineates the complexity of the preceptor role and provides a consensus model of preceptor competence that can be used to select, develop, assess, evaluate, and support preceptors.
The role of older antibiotics in the treatment of skin and soft tissue infections: current perspectives
Authors: Allaw Fatima , Dagher Maya , Kanj Souha S. 
Published: December 2024

Purpose of review
The aim is to discuss the evidence and recent literature on the role of older antibiotics in the treatment of skin and soft tissue infections (SSTIs).

Recent findings
The choice of therapy for SSTIs is complicated in view of the rising antimicrobial resistance (AMR) and the availability of new antibiotics. SSTIs are predominantly caused by Staphylococcus aureus and beta-hemolytic streptococci, but other organisms can be involved in patients with comorbidities or post trauma. Treatment options are dictated by the accessibility and cost of newer antibiotics in resource-constrained settings. ‘Old antibiotics’ including β-lactams, doxycycline, trimethoprim-sulfamethoxazole (TMP/SMX), clindamycin, azithromycin, and ciprofloxacin remain good choices in treating SSTIs. They offer affordable options for outpatient settings. Only few randomized trials have addressed the role of the old agents in SSTIs treatment. Studies suggest that these agents remain effective for empirical and targeted therapy based on the epidemiological context. Ongoing surveillance and clinical trials are needed to assess the role of these agents and to integrate them into modern SSTIs management, supporting sustainable treatment models in both high-income and low-income settings.

Summary
Older antibiotics can be effectively used in treating SSTIs, provided their use is guided by current epidemiological data or culture and susceptibility results.
Predictive value of neutrophil-to-lymphocyte ratio for clinically significant prostate cancer
Authors: Ren Jhuang Siang , Hong Jian-Hua , Huang Chao-Yuan , Liu Shih-Ping , Chow Po-Ming , Jeff Chueh Shih-Chieh , Chen Chung-Hsin , Pu Yeong-Shiau 
Published: December 2024

Purpose:
The neutrophil-to-lymphocyte ratio (NLR), one of the inflammatory markers, can be calculated simply from peripheral blood samples. In this study, the role of NLR in predicting significant prostate cancer (sPC) before prostate biopsy was investigated.

Materials and methods:
Patients who underwent prostate biopsy between 2017 and 2022 at the National Taiwan University Hospital were enrolled prospectively. NLR was calculated before the biopsy. sPC was defined as an unfavorable-intermediate or higher risk of the National Comprehensive Cancer Network risk classification.

Results:
Among 484 enrolled patients, 164 sPC (33.9%) and 320 benign/insignificant prostate cancer (isPC; 66.1%) patients were diagnosed. The sPC group was older and had a higher prostate-specific antigen (PSA), smaller prostate volume, higher PSA density, more advanced clinical T stage, and more family history of prostate cancer than the benign/isPC group. There was no difference in neutrophil count (P = 0.929), lymphocyte count (P = 0.927), or NLR (P = 0.931) between groups. NLR failed to predict sPC in univariable (odds ratio, 1.02; 95% confidence interval [CI], 0.93–1.12; P = 0.7) and multivariable (odds ratio, 0.94; 95% CI, 0.79–1.12; P = 0.506) logistic regression models, respectively. The area under the curve of the receiver operating characteristic curve in the model consisted of age, PSA, prostate volume, T stage, and family history of prostate cancer was 0.882 (95% CI, 0.849–0.914). There was no statistical difference when the model included NLR (P = 0.625).

Conclusion:
NLR did not differ between sPC and benign/isPC groups. NLR cannot predict sPC successfully before prostate biopsy.
Utilising copper tailings as a sustainable alternative to conventional structural filling materials: LCA analysis
Authors: Choudhary Kailash , Gill Gourav , Sangwa Narpat Ram , Sarna Bhavesh 
Published: December 2024

PurposeMine tailings are solid waste left after extracting the valuable fraction of the ore. This study reviewed the possibility of using copper-tailing waste to develop building foundations and compared its environmental implications with conventional sand foundations.Design/methodology/approachThis study first discusses the state-of-the-art use of copper tailings in various industries through a literature review. The study then uses the life cycle assessment (LCA) methodology to quantify and compare the environmental impacts generated by the conventional sand and tailing foundations for buildings by considering a 1 × 1 m foundation area. The study also assessed the environmental impacts of a real copper mine case of the Khetri Copper Complex in the state of Rajasthan, India, and conducted a sensitivity analysis to show the impact of transportation distance on environmental impacts using the Monte Carlo simulation technique.FindingsThe study results indicate that the building foundation developed using copper-tailing waste is environmentally beneficial compared to a sand foundation. The sensitivity analysis results indicate that the transportation of tailings reduces the environmental benefits if transported over long distances; however, the utilisation is helpful for environmental sustainability. We further discussed the managerial and social implications of the results.Originality/valueThis study is a novel contribution highlighting the sequestration potential of copper tailing waste utilisation using midpoint and endpoint environmental impact categories.
Green building adoption in Qatar: PLS-SEM-based analysis of drivers and barriers
Authors: Ahmad Tayyab , Gunduz Murat , Madkoor Ahmad 
Published: December 2024

PurposeThe study is about conducting a quantitative inquiry of the drivers that facilitate and barriers that hinder the adoption of Green Buildings (GBs) in Qatar. This will help pave the ground for increased GB development in Qatar.Design/methodology/approachUsing previously published studies, 21 barriers and 14 drivers related to GB development are identified. Based on the findings of a questionnaire survey involving 102 construction industry experts, the significance of GB drivers and barriers in the case of Qatar is determined. Partial least squares structural equation modeling (PLS-SEM) analysis is conducted to determine the significance of relationships of drivers and barriers for GB adoption in Qatar. While conducting PLS-SEM analysis, drivers and barriers have been aggregated and subsequently analyzed across 4 and 5 constructs, respectively.FindingsWhile all the driver constructs are interrelated, only drivers related to economic and cost benefits have a significant relationship with GB adoption. Also, in case of barriers, only the barriers related to fear of extra expense and additional work have a significant relationship with GB adoption.Research limitations/implicationsBased on the relationships of drivers and barriers identified, recommendations are provided for increased uptake of GBs in Qatar. The study findings will enable decision-makers to ease the process as well as initiate policymaking for increased GB adoption. Theoretically, the findings of this study will contribute to the growing knowledge of GB projects.Originality/valueGB development is highly contextual in terms of the region of development. In-depth studies on GB drivers and barriers have been missing for Qatar and this gap is filled by this study.
Exploring management strategies to optimise corporate value
Authors: Ramírez-Orellana Alicia , Giralt-Escobar Silvia , Blanco-González-Tejero Cristina 
Published: December 2024

PurposeThis paper explores effective management strategies to optimise corporate value in the pharmaceutical industry. It uses key variables such as research and development (R&D), board gender diversity, and environmental, social and governance (ESG) factors.Design/methodology/approachGiven the dynamic and multifaceted nature of corporate innovation and its impact on performance, 53 pharmaceutical companies were examined using partial least squares structural equation modelling (PLS-SEM). This methodology enabled exploration of causal and predictive relationships in corporate value and management.FindingsGreater investment in R&D drives innovation and future growth. Despite the short-term financial impact, R&D investment reflects a strategic emphasis on long-term growth and sustainability in the pharmaceutical industry. Management effectiveness mediates the effects of gender diversity on increasing corporate value. The ESG score is the least relevant variable for assessing the value of pharmaceutical companies. It contributes to improving management practices but is not fully considered in the overall corporate value of a company taking into account the selected database.Practical implicationsPharmaceutical companies can use these findings to adjust and optimise their investment in R&D. They can thus direct their strategies towards more ethical and sustainable practices, thereby enhancing effectiveness and competitiveness. The combination of these elements provides an opportunity to develop integrated management strategies.Originality/valueThis research explores innovative strategies to enhance corporate value, emphasising the pivotal role of R&D and ESG factors. It reveals the intricacies of the pharmaceutical landscape and provides solutions for organisational strategy.
Homogenization methods for thermal study of support structure in laser powder bed fusion (L-PBF) – application to process numerical modeling
Authors: Zhang Yancheng , Behlal Hugo , Gandin Charles-André , Senninger Oriane , Guillemot Gildas , Bellet Michel 
Published: December 2024

Purpose
This paper aims to report on a homogenized model for the anisotropic thermal conductivity of support structures constructed by the laser powder bed fusion (L-PBF) process, and its application to the numerical simulation of the L-PBF process.

Design/methodology/approach
Considering both analytical and numerical approaches, the model is developed across a temperature interval encompassing the entire L-PBF process. Subsequently, the homogenized material properties are incorporated into a thermal finite element model (FEM) of the L-PBF process to consider the effects of the support structures, taking into account their anisotropic properties.

Findings
The simulation results of the L-PBF process indicate that the support structures act as a thermal barrier, retaining more heat in part compared to direct printing on the substrate. The implementation of homogeneous thermal conductivity in the L-PBF process simulation demonstrates its efficiency and potential application to better control heat transfer during part construction.

Originality/value
The homogenized anisotropic thermal conductivity of a support structure has been characterized by both analytical and numerical approaches. Such homogenized anisotropic tensor was implemented in L-PBF numerical simulation. This showed a strong influence of the supports on the temperature distribution and evolution.
Resilience as a shield: self-efficacy and well-being in the face of exploitative leadership
Authors: Elahi Natasha Saman , Rasheed Muhammad Athar , Jamshed Samia , Bajwa Sami Ullah 
Published: December 2024

PurposeEmployees' well-being has emerged as a critical issue in the software industry. Therefore, our study examines the detrimental effect of exploitative leadership on subjective well-being directly and through self-efficacy. We also investigate the buffering effect of resilience on this relationship using the conversation of resources (COR).Design/methodology/approachData were collected from 585 software industry professionals via two-way self-administered questionnaires. The proposed hypotheses were tested using Process Model 5.FindingsOur study confirms the negative effect of exploitative leadership on subjective well-being, both directly and indirectly via self-efficacy. Furthermore, the findings indicate that resilience reduces the negative effect of exploitative leadership on subjective well-being.Research limitations/implicationsOur study contributes to the existing literature on exploitative leadership by demonstrating its detrimental effects on employee’s subjective well-being. It also provides a more nuanced understanding of the unexplored relationship between exploitative leadership and subjective well-being by explaining the mediating role of self-efficacy and the moderating role of resilience.Practical implicationsPolicymakers and human resource practitioners may design training and development programs to promote morality and ethical behaviors. This will enhance employees' subjective well-being, aligning with SDG 3’s goal of ensuring healthy lives and promoting well-being for all.Originality/valueOur study provides a novel perspective by expanding the nomological network of exploitative leadership to include lower self-efficacy and subjective well-being. It also extends our understating of how resilient employees sustain their well-being under exploitative leadership.
Mapping publications by sustainable development goal at the faculty level to highlight inter-faculty collaborations
Authors: Demaine Jeffrey , Bhatia Yash , Whalen Kate 
Published: December 2024

Purpose
Achieving the United Nations’ Sustainable Development Goals (SDGs) requires partnerships across nations, sectors and stakeholders. In academia, interdisciplinary research can help to address complex challenges related to the Goals. This paper aims to offer a structured approach to identifying current and potential research collaborations across faculties at a Canadian university.

Design/methodology/approach
Publications from the Dimensions database that had been assigned to an SDG category were matched against publications indexed by the university’s Research Information Management System (RIMS). The resulting matches were then sorted and tabulated by Australian and New Zealand Standard Research Classification research category and by the faculty affiliation of the authors. Potential interdisciplinary research collaborations are then identified by matching authors from different faculties who both have publications within the same research category.

Findings
Findings demonstrate that institutions can apply this methodology to track SDG-related publications, to analyse current interdisciplinary publications and to identify potential interdisciplinary collaborations. Since 2018, 95% of McMaster University’s SDG-related publications are authored by a researcher or researchers from a single faculty, and 5% are authored by researchers from two or more faculties. The interdisciplinary research collaborations were found to have a lower average citation impact and alternative metric scores than those publications with authors from a single faculty. Using a test case, 28 researchers from two faculties were identified as having common research interests with the potential to collaborate on a specific sustainability-related topic. Leveraging this methodology and an institution’s RIMS system provides university leaders with insight to track progress and plan research activities across the institution.

Originality/value
The analysis methods followed in this study highlight the importance of interdisciplinary research collaborations and may be valuable to institutions wanting to benchmark their own SDG efforts. Moreover, a simple methodology is presented for re-combining the data on prior collaborations to identify opportunities for new collaborations between faculties. This process combines the power of data processing with the user’s contextual insights to uncover novel pairings of faculty members whose research is aligned.
Research on the wheel wear prediction of heavy-haul freight wagon based on the roller rig test and line test
Authors: Zhang Liangwei , Qi Yayun 
Published: December 2024

Purpose
To reduce the wheel maintenance costs caused by wheel wear and to transition from traditional periodic maintenance to condition-based maintenance for railway freight wagons, it is necessary to investigate the prediction of wheel wear and understand the evolution rule of wheel profile wear.

Design/methodology/approach
This paper established a wheel wear prediction model for railway freight wagons based on Archard’s wear theory and proposed a prediction method that combines vehicle system dynamic, interpolation iteration and intelligent simulation. The wear coefficients in the model were obtained through wheel wear tests by using the roller rig. The model’s effectiveness was further verified through line testing and simulation models, and the corrected wear coefficient can be used for wear prediction of heavy-haul freight wagons in China.

Findings
The wheel wear prediction showed that the results of the wheel wear prediction model by adopting the wear coefficients obtained from the roller rig tests are close to the actual wheel wear, with the difference of the maximum in wear depth at the nominal rolling circle being within 7%.

Originality/value
This paper proposed a method that can establish a database of wheel wear coefficients for predicting wheel wear of railway freight wagons under similar operating conditions. The revised wear coefficient can be used for wear prediction of heavy-haul freight wagons in China.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0329/
The road to mobile-advertising success: a strategic approach to influence consumer attitude
Authors: Kalantarzadeh Tezerjany Seyedeh Fatemeh , Mason Cordelia 
Published: December 2024

PurposeThe primary aim of this study is to thoroughly investigate strategic approaches that influence consumer attitudes, contributing to the attainment of success in mobile advertising campaigns.Design/methodology/approachThe theory of planned behaviour (TPB) is utilised as a significant and fundamental theory, imparting valuable insights into the field of mobile advertising. Probability sampling, specifically the simple random sampling technique is employed by the study to gather data from a representative sample of mobile users in Kuala Lumpur, Malaysia. A conceptual model is constructed based on data collected through an online survey involving 350 respondents, which underwent rigorous empirical analysis using SPSS and AMOS software.FindingsThe results largely support the proposed hypotheses, affirming the relationships between the variables. However, the hypotheses regarding the impact of irritation on consumer attitudes and purchase behaviour are not supported.Practical implicationsThis study suggests that Malaysian marketers and advertisers ought to judiciously employ specific design principles to proficiently captivate their target audience in mobile advertising endeavours. They should devote their efforts to the meticulous development and tailoring of mobile advertising strategies, with the explicit aim of enhancing the positive influence of consumer attitudes and improving the effectiveness of mobile advertising success.Originality/valueMobile communications have become essential instruments for mobile marketers, seeking to understand customer attitudes and behaviours to enhance advertising acceptance and alleviate negative consumer sentiments.