bluuebunny/crossref_metadata_2025_split huggingface dataset:
A machine learning analysis of the value-added intellectual coefficient’s effect on firm performance
Authors: Bilgin Rumeysa 
Published: August 2024

Purpose
Recently, machine learning (ML) methods gained popularity in finance and accounting research as alternatives to econometric analysis. Their success in high-dimensional settings is promising as a cure for the shortcomings of econometric analysis. The purpose of this study is to prove further the relationship between intellectual capital (IC) efficiency and firm performance using ML methods.

Design/methodology/approach
This study used the double selection, partialing-out and cross-fit partialing-out LASSO estimators to analyze the IC efficiency’s linear and nonlinear effects on firm performance using a sample of 2,581 North American firms from 1999 to 2021. The value-added intellectual capital (VAIC) and its components are used as indicators of IC efficiency. Firm performance is measured by return on equity, return on assets and market-to-book ratio.

Findings
The findings revealed significant connections between IC measures and firm performance. First, the VAIC, as an aggregate measure, significantly impacts both firm profitability and value. When the VAIC is decomposed into its breakdowns, it is revealed that structural capital efficiency substantially affects firm value, and capital employed efficiency has the same function for firm profitability. In contrast to the prevalent belief in the area, human capital efficiency’s impact is found to be less important than the others. Nonlinearities are also detected in the relationships.

Originality/value
As ML tools are most recently introduced to the IC literature, only a few studies have used them to expand the current knowledge. However, none of these studies investigated the role of IC as a determinant of firm performance. The present study fills this gap in the literature by investigating the effect of IC efficiency on firm performance using supervised ML methods. It also provides a novel approach by comparing the estimation results of three LASSO estimators. To the best of the author’s knowledge, this is the first study that has used LASSO in IC research.
Entrepreneurship mentoring in higher education: how does the mentor benefit?
Authors: Walmsley Andreas , Nabi Ghulam 
Published: August 2024

PurposeThe purpose of this paper is to identify entrepreneur mentor benefits and challenges as a result of entrepreneurship mentoring in higher education (HE).Design/methodology/approachAn entrepreneurship mentoring scheme was developed at a UK university to support prospective student entrepreneurs, with mentors being entrepreneurs drawn from the local business community. A mentor-outcomes framework was developed and applied to guide semi-structured interviews.FindingsResults supported the broader applicability of our framework, with a revised framework developed to better represent the entrepreneur mentor context. Alongside psychosocial and personal developmental outcomes, mentors benefitted from entrepreneurial learning, renewed commitment to their own ventures and the development of additional skills sets. Enhanced business performance also manifested itself for some mentors. A range of challenges are presented, some generic to the entrepreneur setting and others more specific to the higher education (HE) setting.Research limitations/implicationsThe framework offered serves as a starting point for further researchers to explore and refine the outcomes of entrepreneur mentoring.Practical implicationsThe findings serve to support those considering developing a mentor programme or including mentoring as part of a formal entrepreneurship education offer, specifically in a university setting but also beyond.Originality/valueThe vast majority of entrepreneurship mentoring studies focus on the benefits to the mentee. By focusing on benefits and challenges for the entrepreneur mentor, this study extends our knowledge of the benefit of entrepreneurship mentoring. It offers an empirically derived entrepreneur mentor outcomes framework, as well as offering insights into challenges for the entrepreneur mentor within an HE setting.
Model of partnership in sustainable palm oil: efforts to increase partnerships in the palm oil business in Indonesia
Authors: Afrino Rino , Syahza Almasdi , Suwondo Suwondo , Heriyanto Meyzi 
Published: August 2024

Purpose
A partnership model is necessary for palm oil plantations’ sustainability. The developed model does not identify the optimal technique for smallholder palm oil because it faces complex challenges. This study aims to determine a partnership model for sustainable palm oil plantation business in Indonesia.

Design/methodology/approach
Qualitative research methods were used, and data analysis was performed using NVivo 12 Plus software, which helps improve the accuracy of qualitative studies and provides implications for evidence-based studies. All respondents, whether through surveys, interviews or focus group discussions, understood their contributions to this research and provided consent.

Findings
The results indicate that the core–plasma partnership pattern implemented by companies needs to be considered a relevant model for partnerships in the Indonesian palm oil industry. Social networks play a role in implementing this partnership pattern, which is influenced by the diversity of the actors involved. However, complexity arises from the dynamics of power and position among these actors, which demands increased interaction and mutual trust. Therefore, various dimensions must be considered, including plantation management, product marketing, cultivation techniques and sustainable development.

Research limitations/implications
The research results have limitations, particularly regarding access to information for company policymakers, because there remains complexity related to the position and dominance of power between actors, which influences the achievement of common goals. A more complex analysis is needed to produce complete research. Further studies are required to provide a more comprehensive explanation of the humanist approach in the context of palm plantations.

Originality/value
This study provides an important theoretical implementation: a more humane approach through a partnership model that adds value and is based on aspects of morality in implementing partnerships in the palm oil plantation sector. It also provides new and substantial insights regarding practical implementation for policymakers and practitioners who want to improve partnership practices in sustainable palm oil businesses by implementing value-added and morality-based partnership models in Indonesia as well as other developing countries.
Food-derived antioxidants intake association with serum oxidative stress markers and lung infection symptoms in COVID-19 infectious angina patients
Authors: Mohajeri Mahsa , Aghapoor Baharak 
Published: August 2024

Purpose
Research indicated that dietary antioxidants could improve immune system performance. This study aims to investigate the association of COVID-19 symptoms, total antioxidant capacity and serum inflammatory markers, with dietary antioxidants intake among angina patients.

Design/methodology/approach
A food frequency questionnaire was used in a cross-sectional study among 135 angina patients with COVID-19, to assess dietary antioxidants consumption. Serum levels of tumor necrosis factor, interleukin 1ß, malondialdehyde, high-sensitivity C-reactive protein and total antioxidant capacity were measured by enzyme-linked immunosorbent assay methods.

Findings
Among study angina patients, 76.67% followed unhealthy food patterns and 23.33% followed anti-inflammatory dietary patterns before hospitalization. The angina patients with anti-inflammatory food pattern had less fever (p = 0.021), cough (p = 0.018), dyspnea (p = 0.024), diarrhea (p = 0.014) and pneumonia severity index (p = 0.014) compared to patients with unhealthy food pattern. The serum levels of tumor necrosis factor, interleukin 1ß, high-sensitivity C-reactive protein and malondialdehyde, had a significantly negative association with dietary antioxidants intake (p < 0.05).

Originality/value
There are significant association between antioxidant intake with serum inflammation markers in COVID-19 patients. There is a need for more clinical trial studies for approval of these results.
Relationships between physical training and marksmanship performance in tactical law enforcement officers
Authors: Rodriguez Jackeline , Fredella Kaylee , Labhart Jake , Bunn Jennifer A. , Wagner Matthew 
Published: August 2024

PurposeThe purpose of this study was to assess relationships between dynamic shooting accuracy and physical training behaviors in tactical police officers.Design/methodology/approachSeventy tactical police officers from various agencies completed a survey including information on general experience, firearms training and physical training. Participants completed dynamic shooting drills with pistol and a rifle.FindingsOfficer’s overall shooting performance was associated with years of experience in special operations as more accurate shooters had 6–10 years of experience. Operators in the highest shooting quartile were likely to participate in shooting competitions. Operators at the 50% ranking or above were more likely to train at the department or agency gym.Research limitations/implicationsAll subjects were males, no cause/effect relationship established, no data on caffeine and alcohol consumption or sleep behaviors. Years of experience, competition shooting, and training were all related to higher level shooting performance.Practical implicationsThe data support deliberate practice, accountability, and camaraderie contribute to high-level performance and safety for tactical law enforcement officers.Originality/valueThis research highlighted marksmanship performance and the connection between training habits and lifestyle. These findings highlight the need for training specific variables so that operators perform at a higher level and enhance their skills for dynamic shooting performance in a tactical unit.
A step length estimation method based on frequency domain feature analysis and gait recognition for pedestrian dead reckoning
Authors: Deng Guosheng , Zhang Wei , Wu Zhitao , Guan Minglei , Zhang Dejin 
Published: August 2024

Purpose
Step length is a key factor for pedestrian dead reckoning (PDR), which affects positioning accuracy and reliability. Traditional methods are difficult to handle step length estimation of dynamic gait, which have larger error and are not adapted to real walking. This paper aims to propose a step length estimation method based on frequency domain feature analysis and gait recognition for PDR, which considers the effects of real-time gait.

Design/methodology/approach
The new step length estimation method transformed the acceleration of pedestrians from time domain to frequency domain, and gait characteristics of pedestrians were obtained and matched with different walking speeds.

Findings
Many experiments are conducted and compared with Weinberg and Kim models, and the results show that the average errors of the new method were improved by about 2 meters to 5 meters. It also shows that the proposed method has strong stability and device robustness and meets the accuracy requirements of positioning.

Originality/value
A sliding window strategy used in fast Fourier transform is proposed to implement frequency domain analysis of the acceleration, and a fast adaptive gait recognition mechanism is proposed to identify gait of pedestrians.
Investigating the mediating role of green performance measurement systems in the nexus between green intellectual capital and environmental performance
Authors: Hoang Thanh Nhon , Truong Cong Bac 
Published: August 2024

Purpose
This study aims to propose and examine a conceptual model that shows how green performance measurement systems (GPMS) mediate the relationship between green intellectual capital components and environmental performance.

Design/methodology/approach
The research surveyed 407 Vietnamese publicly listed companies to gather empirical data. Then, the exploratory factor analysis (EFA) and structural equation modeling (SEM) are used to examine the degree of emphasis firms place on using GPMS to transform green intellectual capital into firm value.

Findings
The results indicate that both green human capital and green organizational capital have a direct positive impact on environmental performance. On the contrary, the influence of green social capital on environmental performance was found to be indirect through the mediation of GPMS.

Practical implications
GPMS can be considered a tool that helps managers renew, develop and synchronize their systems to take advantage of green resources in environmental performance improvement.

Social implications
The effective assimilation of GPMS within industrial entities holds the potential to mitigate air pollution and hazardous waste, thereby ameliorating social conditions for both employees and the neighboring community. Besides that, proficient implementation of GPMS enhances collaborative efforts within the industrial sphere, yielding collective societal benefits.

Originality/value
This study emphasizes the importance of aligning green intellectual capital with appropriate control mechanisms, such as performance measurement systems, to maximize the benefits derived from these capital resources. The findings provide insights for organizations seeking to enhance their environmental performance and sustainability practices by effectively using their intellectual and social capital while implementing robust measurement systems.
Formation and growth mechanism of thin Cu6Sn5 films in Sn/Cu and Sn-0.1AlN/Cu structures using laser heating
Authors: Liang Zhang 
Published: August 2024

Purpose
The purpose of this study is the formation and growth of nanoscale intermetallic compounds (IMCs) when laser is used as a heat source to form solder joints.

Design/methodology/approach
This study investigates the Sn/Cu and Sn-0.1AlN/Cu structure using laser soldering under different laser power: (200, 225 and 250 W) and heating time: (2, 3 and 4 s).

Findings
The results show clearly that the formation of nano-Cu6Sn5 films is feasible in the laser heating (200 W and 2 s) with Sn/Cu and Sn-0.1AlN/Cu system. The nano-Cu6Sn5 films with thickness of 500 nm and grains with 700 nm are generally parallel to the Cu surface with Sn-0.1AlN. Both IMC films thickness of Sn/Cu and Sn-0.1AlN/Cu solder joints gradually increased from 524.2 to 2025.8 nm as the laser heating time and the laser power extended. Nevertheless, doping AlN nanoparticles can slow down the growth rate of Cu6Sn5 films in Sn solder joints due to its adsorption.

Originality/value
The formation of nano-Cu6Sn5 films using laser heating can provide a new method for nanofilm development to realize the metallurgical interconnection in electronic packaging.
Ellagic acid improves osteoarthritis by inhibiting PGE2 production in M1 macrophages via targeting PTGS2
Authors: Zhang Chen , Li Xiaoke , Wen Pengyuan , Li Yuan 
Published: August 2024

AbstractOsteoarthritis (OA) is a degenerative joint disease characterised by inflammation and cartilage degeneration. Ellagic acid (EA) might have therapeutic potential in OA, but its molecular mechanisms of action remain unclear. In this study, we aimed to identify the docking protein of EA in M1 macrophage‐related pro‐inflammation in OA. Bioinformatics analysis was performed to identify ellagic acid's potential targets among OA‐related dysregulated genes. THP‐1 cells were induced into M0 and polarised into M1 macrophages for in vitro studies. Mice knee models of OA were generated for in vivo studies. Results showed that PTGS2 (also known as COX‐2) is a potential target of ellagic acid among OA‐related dysregulated genes. EA has multiple low‐energy binding sites on PTGS2, including sites containing amino acid residues critical for the enzyme's catalytic activity. Surface plasmon resonance (SPR) assays confirmed the physical interaction between ellagic acid and recombinant PTGS2 protein, with a dissociation constant (KD) of 5.03 ± 0.84 μM. EA treatment suppressed PTGS2 expression and prostaglandin E2 (PGE2) production in M1 macrophages. Besides, ellagic acid can directly inhibit PTGS2 enzyme activity, with an IC50 around 50 μM. Importantly, in a mouse model of OA, ellagic acid administration alleviated disease severity, reduced collagen II degradation and MMP13 generation, and decreased serum PGE2 levels. Collectively, these results suggest that PTGS2 is a key target of ellagic acid's anti‐inflammatory and chondroprotective effects in OA.
Leaving the gang is good for your health: A stress process perspective on disengagement from gangs
Authors: Leverso John , Schleifer Cyrus , Pyrooz David C. 
Published: August 2024

AbstractDuring the last decade, health criminology—the study of health outcomes for justice‐involved individuals and their families—has gained traction in the field. We extend health criminology to the study of street gangs by drawing on the stress process perspective. Gang membership is conceptualized as a primary stressor that leads to secondary stressors with direct and indirect adverse effects on mental health. Leaving a gang, we hypothesize, offers relief by shrinking the stress universe to improve mental health. We test the gang disengagement–mental health link using panel data from a sample of 510 active gang members in the Northwestern Juvenile Project, longitudinal entropy balancing models, and mental health outcomes related to both clinical diagnosis and functional impairment. The results indicate that gang disengagement leads to improvements in mental health and functioning. Compared with those who stayed in gangs, those who left experienced improvements in global functioning, overall mental health diagnosis, behavior toward others functioning, substance abuse functioning, and alcohol‐related diagnoses. Secondary stressors partially, but not fully, mediated this association. Our findings extend the inventory of research on the benefits of disengagement from gangs to health outcomes and support interventions designed to promote gang disengagement.
Improved annual temperature cycle function for stream seasonal thermal regimes
Authors: Philippus Daniel , Corona Claudia R. , Hogue Terri S. 
Published: August 2024

AbstractSeasonal regimes of stream temperatures are important for ecological health as well as for societal water use. Seasonal regimes can be captured in the annual temperature cycle (the mean temperature for each day of the year) or in summary statistics such as seasonal mean temperatures, the former of which is the focus of this work. The annual temperature cycle is often characterized as a sine function, which performs satisfactorily for most streams. However, the sine function is unable to capture major seasonal variations, particularly for colder, drier, and high‐elevation regions. Seasonal summary statistics are effective for classification but do not capture the full time series, preventing the use of lost time‐series information, and lack context for the comparison of trends, hindering distinction between different causes of similar seasonal trends. We propose an improved function called the “three‐sine model” to describe the stream annual temperature cycle with higher accuracy and demonstrate its use in two case studies. The three‐sine model uses a cosine function over the entire year coupled with two seasonal anomaly sine functions. The three‐sine model captures the stream annual temperature cycle with eight parameters, reveals distinct spatial trends, and outperforms the sinusoidal model for all elevations and 99% of streams. We conclude that this approach can support improved stream temperature analysis by capturing detailed seasonal trends in context.
Mitochondrial heterogeneity and crosstalk in aging: Time for a paradigm shift?
Authors: Hinton Antentor O. , Vue Zer , Scudese Estevão , Neikirk Kit , Kirabo Annet , Montano Monty 
Published: August 2024

AbstractThe hallmarks of aging have been influential in guiding the biology of aging research, with more recent and growing recognition of the interdependence of these hallmarks on age‐related health outcomes. However, a current challenge is personalizing aging trajectories to promote healthy aging, given the diversity of genotypes and lived experience. We suggest that incorporating heterogeneity—including intrinsic (e.g., genetic and structural) and extrinsic (e.g., environmental and exposome) factors and their interdependence of hallmarks—may move the dial. This editorial perspective will focus on one hallmark, namely mitochondrial dysfunction, to exemplify how consideration of heterogeneity and interdependence or crosstalk may reveal new perspectives and opportunities for personalizing aging research. To this end, we highlight heterogeneity within mitochondria as a model.
Motivated reasoning and scientific racism in compulsion theory of human addiction: Methodological framework to promote social justice
Authors: Hogarth Lee 
Published: August 2024

AbstractHeinz et al. (2024) recently criticised habit/compulsion theory of human addiction but nevertheless concluded that ‘habit formation plays a significant role in drug addiction’. To challenge this causal claim, the current article develops four further methodological criticisms, that publications supporting the habit/compulsion account of human addiction: (1) under‐report contradictory observations; (2) exaggerate the process purity of positive observations; (3) under‐emphasise the low quality of epidemiological support for a causal hypothesis; (4) recapitulate the social injustice of the racial intelligence era by prematurely attributing lower task performance to drug user group membership (endophenotype) without having adequately tested social, psychological, economic and environmental inequalities. Methodological guidelines are recommended to address each concern, which should raise evidence standards, incorporate social justice and improve accuracy of estimating any specific effect of addiction history on task performance. Given that construing drug users as intellectually impaired could promote stigma and reduce their recovery potential, it is recommended that scientific discourse about habit/compulsive endophenotypes underpinning addiction is avoided until these higher evidence standards are met.