bluuebunny/crossref_metadata_2025 huggingface dataset:
The Thermal Equator on Earth and Mars
Authors: McKay Christopher P. , Cintron Mateo N.
Published: June 2024

The thermal equator (also known as the heat equator) is the circumplanetary set of points that represent the highest mean annual temperature at each longitude. Recent high precision global datasets for Earth and Mars provide a basis for a detailed calculation of the thermal equator on these worlds. On Earth, the temperature values that comprise the thermal equator range from 25.85° to 34.75°C, with a mean of 27.75° ± 1.3°C, and extends in latitude as high as 20°N in Mexico and 29.3°N in the Indian subcontinent. The maximum southern extent is 20°S in Australia. On Mars, lacking oceans, the thermal equator takes a simpler track and is roughly parallel to the equator, and displaced 5°–10°S. However, there is a region of longitude on Mars where the thermal equator becomes bimodal with a northern branch centered at 10°N and a southern branch centered at 20°S.
Quasi-Non-Destructive Estimation of Concrete Compression Strength Using Laser-Induced Breakdown Spectroscopy and Multivariate Analysis
Authors: Eto Shuzo , Otsuka Taku
Published: June 2024

Micro- and non-destructive methods of estimating compressive strength are useful for diagnosing the degradation of reinforced structures. The velocity of waves propagating through concrete can be measured using conventional non-destructive methods; however, the propagation path of waves varies depending on the distribution of coarse aggregate, resulting in variations in velocity at different measurement points. To address this issue, a method based on laser-induced breakdown spectroscopy and multivariate analysis was developed in this study for estimating the compressive strength of concrete non-destructively, ensuring the non-influence of the coarse aggregate spatial distribution. The method is based on the correlation between the emission intensity of the spectrum and the hardness of the object to be measured. Principal component analysis and partial least squares regression (PLSR) were used to extract the mortar spectrum, which determines the compressive strength of concrete, from a mixture of aggregate and mortar spectra. The compressive strength estimated based on the proposed method was consistent with the values obtained from the compressive strength test, which indicates the possibility of using multivariable analysis to estimate the compressive strength of concrete. Furthermore, the proposed method enabled on-site measurements through a simple experimental setup and insensitivity to spectral noise offered by PLSR.
In the Multitude of Words, Sin is Not Lacking: Are Codes of Ethics Promoting Corporate Responsibility or Providing Legal Shields?
Authors: Dall’Agnol Matheus , Kabbach-de-Castro Luiz Ricardo , Redín Dulce M.
Published: June 2024

In the wake of corporate governance scandals, questions arise about the effectiveness and intent of corporate ethical codes: Are they genuine governance mechanisms to enhance corporate responsibility, or are they mere shields against legal risks? This study delves into the linguistic choices within ethical codes, positing that these choices serve as communication devices that articulate a firm’s institutional logic. We use stakeholder theory to differentiate between code language that is governed by instrumental (legal-oriented) or normative (behavior-oriented) logic. Upon analyzing the lexicon of Fortune 500 corporate codes, our findings reveal that behavior-oriented codes are associated with a decrease in the number of environmental, social, and governance (ESG) issues. Yet, they correspond to an increase in class action lawsuits. By contrast, legal-oriented codes are linked to an increase in ESG issues but to reduced legal litigation. Notably, firms that blend approaches from both logics experience lower litigation rates. These findings enrich the discourse on stakeholder theory and provide practical guidance for organizations aiming to refine their ethical codes. This refinement seeks to enhance ethical behavior and mitigate corporate risks.
“They Put Themselves in Danger, Girls Like That”: Ezekiel 16 and Promising Young Woman
Authors: Graybill Rhiannon
Published: June 2024

This article pairs the worst of the biblical marriage metaphor texts, Ezekiel 16, with a feminist film about sexual violence, Promising Young Woman (2020). Strikingly, the God of Ezekiel 16 acts in ways that closely resemble the would-be rapists and “good guys” of Promising Young Woman. Furthermore, the portraits of female revenge in Promising Young Woman and Ana Lily Amirpour's A Girl Walks Home Alone at Night (2014) suggest new ways of reading the seemingly monolithic gender violence of text.
Beyond recognition: Identification and disidentification in visual resistance to stigma
Authors: Meriluoto Taina
Published: June 2024

This article theorizes visual practices of stigma resistance as a continuous play with identification and disidentification. Based on an ethnographic study of young, stigmatized activists’ self-images, I argue that the oft-employed concept of recognition only partially captures visual/digital resistance to stigma. In addition to claiming recognition, I show how creating unrecognizability is a key component in subverting stigmatizing categorizations. Complementing existing analyses on how we fight stigma by ‘presenting ourselves differently’ to others, my analysis of self-images looks at how the activists relate to themselves differently: how they negotiate and work with identifications. I distinguish two strategies of visual stigma resistance: resignification and opacity through multiplicity. Resignification – the visual interpretation of reclaiming – refers to one (temporarily) identifying with a derogatory label but redefining it into a source of pride. Multiplicity, in turn, operates by portraying the self as multiple and transforming, destabilizing potential categories and names, and rendering the self unintelligible. By showing stigma resistance as a play with becoming visible and unintelligible, the article argues for moving beyond recognition and stigma as binary concepts.
Effect of the process parameters of liquid–solid cast-rolling on the microstructure and properties of 1070A/7075 composite sheets
Authors: Tian Shuangyong , Sun Yuchong , Xu Zhen , Zang Ximin , Song Hua , Chen Qingqiang
Published: June 2024

The effects of casting temperature and cast-rolling speed on the microstructure and properties of the composite interface of 1070A/7075 aluminium alloy composite sheet were studied. The results showed that under the same process conditions, the diffusion distances of the Mg element and the Cu element were the greatest and smallest, while that of the Zn element was found between the diffusion distances of the two elements. Furthermore, the intermetallic compound Al23CuFe4 generated at the interface greatly affected the bonding and tensile properties of the composite sheet. When the casting temperature was 690 °C, the cast-rolling speed was 12 m/min. The shear strength, tensile strength, yield strength and elongation were determined as 86.2, 173.9 and 108.6 MPa and 24.9%, respectively.
Undergraduate Ancillaries in the Economics Department at the University of North Carolina at Chapel Hill
Authors: Gilleskie Donna , Vaidyanathan Geetha
Published: June 2024

The Economics Department at the University of North Carolina at Chapel Hill (UNC) has had a long-term commitment to offering extra-curricular opportunities for undergraduate students to enhance their learning beyond the classroom. These opportunities include research, problem-solving, leadership development, Undergraduate Learning Assistance (ULA), peer tutoring, and networking events, among others. Given the Economics program’s substantial size within UNC’s College of Arts and Sciences—with over 1400 declared or intended majors in recent years—it is important to structure the activities in a manner that accommodates students’ diverse interests as well as their time constraints. In this paper, we introduce these different activities and discuss their scope, skill objectives, and time commitment. The benefits to students include opportunities for community, networking, exposure, application, teamwork, presentation, analysis, and research. We also discuss several challenges a department faces to successfully offer these diverse opportunities.
Thermal and loss modeling of scaled permanent magnet synchronous machines for automotive driving cycles
Authors: Chen Bicheng , Monissen Christian , Wellmann Christoph , Wahl Alexander , Ayyildiz Melih , Savelsberg Rene , Andert Jakob , Pischinger Stefan
Published: June 2024

With the goal of enhancing the efficiency of electric vehicles and improving the driving range, the appropriate dimensioning, so-called “right-sizing,” of the electric machines is a promising approach. This paper presents an efficient approach of scaling the thermal parameters in a low order lumped parameter thermal network (LPTN) model to estimate the temperature of the scaled permanent magnet synchronous machine (PMSM) by taking into account the temperature dependence of the power losses. At an early stage of development, the proposed scaling approach enables a preliminary evaluation of the thermal limit of the PMSM within the optimization of the electric powertrain and offers a notable benefit in that the low order LPTN model can easily be parameterized and scaled based on the experimental measurements. Validation for both axial scaling and radial scaling with factors ranging from 0.8 to 1.2 was carried out on a previously validated Ansys Motor-CAD model for typical automotive driving cycles. The maximum temperature error between the scaling approach and the Ansys Motor-CAD model is less than 3.5°C.
Associations between TCA cycle plasma metabolites and fatigue in black females with systemic lupus erythematosus: An untargeted metabolomics pilot study
Authors: Kimble Laura P. , Khosroshahi Arezou , Brewster Glenna S. , Dunbar Sandra B. , Ryan Dylan , Carlson Nicole , Eldridge Ron , Houser Madelyn , Corwin Elizabeth
Published: June 2024

Objective

In this pilot study, we used untargeted metabolomics to identify biochemical mechanisms or biomarkers potentially underlying SLE-related fatigue.

Methods

Metabolon conducted untargeted metabolomic plasma profiling using ultrahigh performance liquid chromatography/tandem mass spectrometry on plasma samples of 23 Black females with systemic lupus erythematosus (SLE) and 21 no SLE controls. Fatigue phenotypes of general fatigue, physical fatigue, mental fatigue, reduced activity, and reduced motivation were measured with the reliable and valid Multidimensional Fatigue Inventory (MFI).

Results

A total of 290 metabolites were significantly different between the SLE and no SLE groups, encompassing metabolites related to glycolysis, TCA cycle activity, heme catabolism, branched chain amino acids, fatty acid metabolism, and steroids. Within the SLE group, controlling for age and co-morbidities, TCA cycle metabolites of alpha-ketoglutarate (AKG) and succinate were statistically significantly associated ( p < .05) with physical and general fatigue.

Conclusion

While pervasive perturbations in the entire TCA cycle have been implicated as a potential mechanism for fatigue, our results suggest individual metabolites of AKG and succinate may be potential biomarkers or targets of intervention for fatigue symptom management in SLE. Additionally, perturbations in heme metabolism in the SLE group provide additional insights into mechanisms that promote systemic inflammation.
Cultural Perspective on Emotional Intelligence and Behaviour Patterns Among Adolescents in Gujarat and Maharashtra
Authors: Dubey Divya , Kewalramani Soni , Sanyal Shubhra
Published: June 2024

Background

Understanding the complex interplay between emotional intelligence and behaviour patterns among adolescents holds a pivotal role in shaping their developmental trajectories and overall well-being. Adolescence, marked by rapid physical, emotional and cognitive changes, is a critical phase where emotional skills and behavioural tendencies are particularly malleable.

Purpose

The study investigates the interplay between emotional intelligence and behaviour patterns among adolescents in Gujarat and Maharashtra, India. The research objectives encompassed assessing emotional intelligence levels, exploring gender differences and examining the relationship between emotional intelligence and behaviour patterns.

Methods

The research design employed ex post facto methodology, collecting data from 740 adolescents across CBSE schools. Validated measures for emotional intelligence and criminal propensity were utilized.

Results

The results revealed the impact of gender, regions and their interaction on different dimensions of emotional intelligence and criminal propensity. While some dimensions were significantly influenced by these factors, others remained unaffected. The correlation analysis underscored intricate relationships between emotional intelligence dimensions and criminal propensity.

Conclusion

The study contributes valuable insights into the dynamics of Emotional Intelligence and Behaviour Patterns among adolescents, highlighting the need for targeted interventions and support systems. These findings hold implications for educators, parents and policymakers in fostering Emotional Intelligence development and curbing potential Behavioural concerns among adolescents.
Current Status of Machine Learning for Precision Rheumatology: Are We There Yet?
Authors: Mruthyunjaya Prakashini , Agarwal Avarna , Ahmed Sakir
Published: June 2024

Autoimmune rheumatic diseases are often characterised by heterogeneity in presentation. The traditional approach to diseases guided by their phenotype may be suboptimal with the advent of precision medicine. Precision medicine is the integration and application of multiomics to predict the best-performing drug and its toxicity profile to derive optimal benefits. With novel drug discoveries and an expanding therapeutic armamentarium, it potentially aids in clinical and therapeutic decision-making, while saving time and averting adverse events. However, multiomics comes with ‘big data’, and owing to the costs, the sample size is usually small. Machine learning (ML) plays an important role in these scenarios where conventional statistics fall short. So, by integrating clinical data with the data from -omics, ML models can be built, which can accurately predict the clinical factors or even novel biomarkers that predict response. This approach has a potential for great benefit as valuable time or the ‘therapeutic window of opportunity’ would be saved, with fewer adverse events, eventually translating to lower damage accrual and better outcomes. Most of the evidence for the use of ML in precision rheumatology comes from rheumatoid arthritis and the factors predicting response to various drugs, including tumour necrosis factor inhibitors. This approach also has its limitations such as the lack of generalizability and the current scarcity of longitudinal data. These models must be tested in larger cohorts and population-based studies for validation, failing which there is a risk of apparent identification of multiple ‘novel’ biomarkers that may or may not be mechanistic.
Analysis of Prescription Pattern, Treatment, and Clinical Outcome in Chronic Obstructive Pulmonary Disease Patients at Tertiary Care Teaching Hospital
Authors: Savaliya Shital , Modi Krishna , Singh Anil , Piparva Kiran
Published: June 2024

Background and Aims:

A major economic and social burden is associated with chronic obstructive pulmonary disease (COPD), an incurable lung illness that affects people all over the world. With a rising incidence rate, COPD is predicted to overtake all other causes of mortality by 2030. This study employs the BMI, Obstruction, Dyspnea scale, exercise tolerance (BODE) index as a multidimensional staging approach to evaluate the prescription pattern, safety, and efficacy of therapy in patients with COPD. The body mass index (BMI), forced expiratory volume in one second (FEV1), modified british medical research council questionnaire (MMRC) Dyspnoea scale, and the 6-minute walk test are among the factors that the BODE index uses to classify the severity of an illness.

Methods:

An observational and prospective study was conducted at a government teaching hospital’s outpatient department for one and a half years. Demographic, clinical, and treatment data were collected from patients with COPD, and severity was assessed using the BODE index. The study aimed to evaluate prescription trends, treatment effectiveness, and safety, with primary and secondary objectives.

Results:

Out of 100 enrolled participants, 79 completed follow-ups. Sociodemographic analysis revealed a male predominance (83.54%), with the highest prevalence in the 51–70 age group. Most patients exhibited moderate COPD severity (51.9%), based on the BODE index. Prescriptions included inhalation therapy (94.94%), predominantly combining corticosteroids and bronchodilators. Assessing treatment effectiveness, the BODE index significantly improved over 6 months ( P = 0.0002), demonstrating reduced disease severity. Adverse drug reactions occurred in 13.92% of participants, primarily mild in nature.

Conclusion:

The study highlights prevalent prescription patterns, emphasising inhalation therapy, and demonstrates the effectiveness and safety of the selected treatments using the BODE index. The findings underscore the importance of tailored therapeutic approaches in COPD management.
Navigating Both Roles: A Photovoice Exploration of the Young Adult Balancing Daughterhood and Caregiving for a Mother With Young-Onset Dementia
Authors: Tang Xueting , Wang Junqiao , Wu Bei , Navarra Ann-Margaret , Cui Xiaoyan , Sharp Erin , Maiya Sahitya , Aytur Semra , Wang Jing
Published: June 2024

Young adults thrust into the role of caregiving for parents with young-onset dementia (YOD) face unique challenges during their formative years. While existing research acknowledges the crucial role of young adult caregivers, a gap persists in understanding how this group experiences and redefines their identity amidst these circumstances, along with the psychological and societal challenges encountered. This knowledge deficit hinders the identification of suitable social support, adversely affecting the personal growth and well-being of these young adult caregivers. In this single-case study, we used a combination of a semi-structured interview and photovoice to explore the journey of a 19-year-old caregiver, Alice, whose mother had been diagnosed with dementia in the preceding 3 years. Through this unique perspective, we aimed to illuminate how caregiving for a mother with YOD may profoundly redefine familial roles and relationships. Over 3 months, Alice captured significant life moments through photography, selecting meaningful images for bi-weekly meetings. These images served as pivotal themes, triggering in-depth conversations during subsequent interviews to provide nuanced insights into her life experiences. Findings reveal four major themes faced by a young caregiver: (1) challenges adapting to an unexpected role, (2) navigating the complex emotional terrain of losing a loved one to YOD, (3) prioritizing the well-being of the healthy parent, and (4) expressing a profound desire for both informal and formal support. These results underscore the intricate identity and emotional challenges faced by young adult caregivers, emphasizing the urgency of addressing their unique needs through family-centered systemic support services.
Dual-Energy Computed Tomography Parameters Combined With Inflammatory Indicators Predict Cervical Lymph Node Metastasis in Papillary Thyroid Cancer
Authors: Wei Longyu , Wu Yaoyuan , Bo Juan , Fu Baoyue , Sun Mingjie , Zhang Yu , Xiong Baizhu , Dong Jiangning
Published: June 2024

Background and Objective

Cervical lymph node metastasis (CLNM) is considered a marker of papillar Fethicy thyroid cancer (PTC) progression and has a potential impact on the prognosis of PTC. The purpose of this study was to screen for predictors of CLNM in PTC and to construct a predictive model to guide the surgical approach in patients with PTC.

Methods

This is a retrospective study. Preoperative dual-energy computed tomography images of 114 patients with pathologically confirmed PTC between July 2019 and April 2023 were retrospectively analyzed. The dual-energy computed tomography parameters [iodine concentration (IC), normalized iodine concentration (NIC), the slope of energy spectrum curve (λHU)] of the venous stage cancer foci were measured and calculated. The independent influencing factors for predicting CLNM were determined by univariate and multivariate logistic regression analysis, and the prediction models were constructed. The clinical benefits of the model were evaluated using decision curves, calibration curves, and receiver operating characteristic curves.

Results

The statistical results show that NIC, derived neutrophil-to-lymphocyte ratio (dNLR), prognostic nutritional index (PNI), gender, and tumor diameter were independent predictors of CLNM in PTC. The AUC of the nomogram was .898 (95% CI: .829-.966), and the calibration curve and decision curve showed that the prediction model had good predictive effect and clinical benefit, respectively.

Conclusion

The nomogram constructed based on dual-energy CT parameters and inflammatory prognostic indicators has high clinical value in predicting CLNM in PTC patients.
Meperidine compared to morphine for rigors associated with monoclonal antibody-related infusion reactions
Authors: Yakubi Hanna , Steele Aaron Paul , Tsao Megan
Published: June 2024

Introduction

Infusion reactions, characterized by symptoms such as rigors, fever, and hypotension, are common adverse events that occur during monoclonal antibody (MAB) therapy. The treatment of rigors often involves opioids, most commonly meperidine, despite limited evidence supporting use in the setting of MAB infusions. This study aims to compare the efficacy and safety of intravenous (IV) meperidine and morphine is treatment of MAB-related rigors, filling a significant gap in the literature.

Methods

This was a single-center, retrospective cohort study which reviewed patients either inpatient or within outpatient infusion centers from January 2015 to January 2024. Patients receiving IV 2 mg morphine or 25 mg meperidine for MAB-related rigors were included. The primary outcome was defined as the number of opioid doses required for rigors ablation. Secondary outcomes included rates of naloxone administration and documented sedation.

Results

A total of 1251 administration events were screened, of which 127 and 26 rigor events were in the meperidine and morphine cohorts, respectively, were included. A majority of both cohorts required only one dose of either agent for rigors ablation with <20% of either cohort requiring 2 or more doses (p = 0.539). Low rates of sedation were observed in both groups.

Conclusion

Both meperidine and morphine effectively manage MAB-related rigors within minimal safety concerns. These findings suggest that morphine is a suitable alternative to meperidine for this indication, which may influence future formulary decision, provide alternatives for drug shortage, and optimize supportive care for patients undergoing MAB therapy.
Ocular inflammation in tsutsugamushi disease – a case report
Authors: Chang Wen-Hui , Hung Chih-Heng
Published: June 2024

A 64-year-old male, working at a mountain site in Taitung County, suffered from primary open angle glaucoma (POAG) post trabeculectomy with well-controlled intraocular pressure (IOP) in both eyes (OU). He presented with headache accompanied by red eyes (OU) for 10 days. Physical examination revealed fever up to 38.2°C, neck stiffness, one eschar at the left forearm and another at the left ankle. Abnormal laboratory data indicated bacterial infection with central nervous system involvement. Ophthalmic examination showed elevated IOP, moderate conjunctival congestion, subconjunctival hemorrhage, anterior uveitis, cotton-wool spots on the retina and multiple white dots on the temporal retina (OU). Under the impression of uveitis in tsutsugamushi disease with atypical meningitis, oral doxycycline, anti-glaucoma and anti-inflammation eye drugs were prescribed. IOP returned to 12 mmHg and anterior uveitis subsided. The lesions of cotton-wool spots on the retina disappeared within 2 weeks, but multiple white dots remained persistently on the temporal retina.
Intracranial Infections Arising From an Odontogenic Infection: A Report of 2 Cases
Authors: Attouchi Ikram , Dammak Nouha , Zouaghi Hela , Ben Khelifa Mohamed
Published: June 2024

Introduction:

Intracranial empyema is a rare but serious and life-threatening infection. It is an accumulation of purulent material in the subdural or extradural space leading to development of subdural empyema or intracranial epidural abscess, respectively. The incidence of morbidity and mortality is high because the diagnosis is often unsuspected. Infections of dental origin could be responsible for such condition.

Case reports:

A 22-year-old female and 30-year-old male patients, both with no significant medical history, presented with subdural empyema and intracranial epidural abscess, respectively, both complicating pan-sinusitis of dental origin. Successful outcomes were achieved with surgical drainage of the lesions, antibiotic therapy, and extraction of affected teeth. Female patient underwent further management for neurological sequelae, while male patient was discharged without neurological complications.

Discussion:

Intracranial suppuration of odontogenic origin is an uncommon but extremely serious complication. The most common dental origins are caries with periapical involvement and periodontitis. Wisdom tooth extraction is the most common preceding dental procedure for this infection. A multidisciplinary approach is essential for the identification and treatment of suspected oral sources. Antibiotic therapy with surgical approach is the gold standard treatment.

Conclusion:

This sequel to odontogenic infection is quite rare, but it can be prevented by a good oral hygiene and removal of abscessed teeth.
Cocreating a sonopoetic analysis
Authors: A. B. Perry Shannon , S. Pierce Michael
Published: June 2024

This article presents an artful analysis method coauthors created with more-than-human collaborators to make sense of a collaborative inquiry into their long-time creative sound practice. They discuss how Heron's whole person theory, posthuman concepts, and a multimodal data assemblage of sonic and textual, extant and researcher-created materials informed their methodological process and led to a sonopoetic collaging analysis-presentation. Mapping this inquiry's methodological trajectory, this article highlights key impasses researchers encountered, how decision-making at these specific junctures related to theories they were thinking with, and what each of these decisions produced. Following transcript excerpts from the audio collage created from this sonopoetic method we improvised, the article considers some wider significances of employing sonic methods in qualitative research.
Participatory action research in neoliberal academia: An uphill struggle
Authors: Millar Gearoid , Volonterio Matías , Cabral Lídia , Peša Iva , Levick-Parkin Melanie
Published: June 2024

Participatory action research (PAR) is described in the literature as a valuable method for enhancing the power of marginalized individuals and communities by collectively producing knowledge to transform the inequalities they experience. This deviates from most social science research, where such actors are largely the subjects of data extraction. This paper reports on our experience of using PAR to examine existing food systems and ideas regarding ‘just food system transitions’ alongside Non-Governmental Organizations in Brazil, Sierra Leone, the United Kingdom and Zambia. We describe our efforts to encourage these partners to participate in the research design, data collection and analysis in line with PAR ideals. Our experience fell short of our expectations for a PAR project. While some limitations relate to the Covid-19 pandemic, this paper focuses on the structures of contemporary neoliberal academia, which, we found, actively obstructed the realization of the optimistic claims of the PAR literature.
Total Endovascular Repair of a Giant Iliac Vein Aneurysm: A Case Report and Review of Literature
Authors: Chatzelas Dimitrios A. , Pitoulias Apostolos G. , Tsamourlidis Georgios V. , Zampaka Theodosia N. , Potouridis Anastasios G. , Tachtsi Maria D. , Pitoulias Georgios A.
Published: June 2024

Purpose:

The iliac veins are the least frequent location for venous aneurysms, with only a few cases described globally. The etiology and clinical presentation of this extremely rare entity is diverse and unclear and no treatment consensus has been reached yet. Our purpose is to present an interesting iliac vein aneurysm (IVA) case that we treated in our department, with a brief review of the literature.

Case report:

We report a case of a 74-year-old male patient with a giant, 55 mm in diameter, asymptomatic, right common IVA, with concurrent aplasia of the left common iliac vein and an extensive network of venous collaterals. The patient was treated, under general anesthesia, with total endovascular iliocaval reconstruction through implantation of a 32 × 100 mm thoracic aortic tubular Ankura stent graft. The computed tomography venography at first-month follow-up showed the complete exclusion of the IVA, without any endoleak and the patient remains up to date free of symptoms and thromboembolic events.

Conclusion:

Twelve cases of endovascular treatment of IVA have been reported so far, and our case is the first with implantation of a thoracic aortic stent graft. Our results suggest that this technique is safe, effective, and may be considered for appropriately selected patients.

Clinical Impact

This is the first case with total endovascular repair of an iliac vein aneurysm with contralateral iliac vein aplasia through endovenous implantation of a thoracic aortic stent-graft. Our results suggest that this technique is safe and effective and thus, may be considered for appropriately selected cases.
Practices, behaviours and actions of highly trusted primary school principals in Cyprus: An in-depth examination
Authors: Keravnos Nicos , Symeou Loizos
Published: June 2024

Faculty trust in educational leadership is a linchpin of schools’ functionality and efficacy. Teachers’ trust in their school leaders can significantly influence the work environment, teacher retention and student achievement. Our study, which employed a comprehensive mixed-methods approach, including 1320 questionnaires and interviews with 40 teachers and 5 principals, has identified eight practices, behaviours and actions (Fairness, Respect, Consistency-Reliability, Trusting the Teachers, Setting the Example, Competence – Organisation, Confidentiality, Open Door – Support) that foster robust trust in school leaders. These findings are not just insights but practical suggestions that school principals can implement to enhance faculty trust. By applying these insights, school principals can create a more trusting environment, improving teacher retention and student achievement. Furthermore, policymakers can use these insights to develop training initiatives that promote the growth of trustworthy educational leaders locally and internationally.
Language learning using Pacific picturebooks in an Aotearoa New Zealand kindergarten
Authors: Kelly-Ware Janette , Daly Nicola , Teokotai Lisa , George Katapukitemarae , Marjoriebanks Danella , Sealey Emma
Published: June 2024

Māori and Pacific learners in Aotearoa New Zealand have been identified as ‘priority learners’ by the Ministry of Education. The ‘Pacific picturebook project’ is ongoing research focussed on picturebooks selected to support the languages, cultures, and identities of Pacific learners in keeping with our government, Teaching Council and Ministry of Education expectations. This phase of the research was located in a kindergarten where teachers and children identify as Māori, Pākehā and from several Pacific Island nations. Teachers shared a selection of Pacific picturebooks with the children and recorded their own and the children’s responses to them over a kindergarten term. Thematic analysis of data showed that Pacific picturebooks were significant pedagogical tools for language learning, to support identity, and to contribute to the kindergarten’s emergent and localised curriculum. These findings clearly illustrate what pedagogy looks like when it is entrenched in key documents relevant to early learning in this country.
How a Swiss luxury retailer implements process mining to improve data-driven customer excellence
Authors: Ritz Eva , Joas Adrian , Wambsganss Thiemo , Rietsche Roman , Leimeister Jan Marco
Published: June 2024

In today’s digital transformation era, process mining has emerged as a crucial technology, playing an integral part in the digital strategies of many organizations. Despite its significance, implementing process mining to leverage data-driven decision-making and boosting process efficiency presents notable challenges for such companies. This case study delves into the journey of the fictitious Swiss luxury retailer Elysian as they utilize process mining to derive data-driven insights on process inefficiencies and bottlenecks to increase their customer excellence for online retail procurement. The case highlights the capabilities of process mining for organizations. It is among the first to offer students hands-on guidance on process discovery, conformance, and enhancement using real-world data. Students take the role of Lisa Dister, Head of procurement in the business unit home care, who urgently requires improving process transparency after an unsatisfying internal audit result. This immersive experience helps students understand the application of process mining in high-volume data scenarios and equips them with skills in data literacy. Moreover, students are challenged to suggest recommendations for long-term process optimization and reflect on the effectiveness of process mining for tackling procurement issues.
Making it transparent: A worked example of articulating programme theory for a digital health application using Intervention Mapping
Authors: Marcos Tamika A. , Crutzen Rik , Leitner Veronika , Smeddinck Jan D. , Strumegger Eva-Maria , Wurhofer Daniela , Kulnik Stefan T.
Published: June 2024

Objective

Digital health interventions for behaviour change are usually complex interventions, and intervention developers should ‘articulate programme theory’, that is, they should offer detailed descriptions of individual intervention components and their proposed mechanisms of action. However, such detailed descriptions often remain lacking. The objective of this work was to provide a conceptual case study with an applied example of ‘articulating programme theory’ for a newly developed digital health intervention.

Methods

Intervention Mapping methodology was applied to arrive at a detailed description of programme theory for a newly developed digital health intervention that aims to support cardiac rehabilitation patients in establishing heart-healthy physical activity habits. Based on a Predisposing, Reinforcing, and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) logic model of the problem, a logic model of change was developed. The proposed mechanisms of action were visualised in an acyclic behaviour change diagram.

Results

Programme theory for this digital health intervention includes 4 sub-behaviours of the main target behaviour (i.e. habitual heart-healthy physical activity), 8 personal determinants and 12 change objectives (i.e. changes needed at the determinant level to achieve the sub-behaviours). These are linked to 12 distinct features of the digital health intervention and 12 underlying behaviour change methods.

Conclusions

This case study offers a worked example of articulating programme theory for a digital health intervention using Intervention Mapping. Intervention developers and researchers may draw on this example to replicate the method, or to reflect on most suitable approaches for their own behaviour change interventions.
Are Both I-Deals? The Mediating Role of I-Task and I-Incentive in the Relationship between Supervisor Support and Employees’ Silence and Voice
Authors: López Bohle Sergio , Chambel Maria José , Griep Yannick , Muñoz Medina Felipe , Zúñiga Quijada Hugo
Published: June 2024

Informed by Social Exchange Theory, this study has developed a mediation model that explains the role of I-deals in the relationship between perceived supervisor support and employees’ discretionary behaviors (i.e., voice and silence). Using a sample of 140 Chile employees, results from our structural equation modeling, indicated that the relationship between supervisor support and employees’ voice (positive) and silence (negative) was mediated by task I-deals. However, we found that the relationship between supervisor support and employees’ voice (negative) was mediated by task I-incentive while this type of I-deals did not mediate the relationship between supervisor support and employees’ silence. This research expands the I-deals literature by focusing on the provision of I-deals to their subordinates and by analyzing the outcomes of incentive I-deals and task I-deals to employees’ discretionary behaviors. Supervisors and HR departments might utilize task I-deals to help facilitate desirable employee outcomes, namely more voice and less silence.
Integrating Relative Efficiency Models with Machine Learning Algorithms for Performance Prediction
Authors: Perroni Marcos Gonçalves , Veiga Claudimar Pereira da , Forteski Elaine , Marconatto Diego Antonio Bittencourt , da Silva Wesley Vieira , Senff Carlos Otávio , Su Zhaohui
Published: June 2024

Predicting operational performance enables organizations to develop operational effectiveness goals considering different combinations of resources. Measuring performance is consolidated with advances in relative efficiency analysis techniques, including data envelopment analysis (DEA) and stochastic frontier analysis (SFA), albeit these methods lack predictive capability. This paper proposes an approach for performance prediction by integrating relative efficiency measurement models with machine learning algorithms. Data analyses were conducted using data provided by the energy assessment project offered to small and medium-sized manufacturing companies in the United States ( n 7,548) using sales as the output, with the inputs being the number of employees, hours of operation, electricity, natural gas, cost of electricity, and cost of natural gas. Performance was estimated differently, employing parametric (SFA) and non-parametric (DEA) methods. The prediction benchmarking process occurred by adopting machine learning algorithms: regression (LM), support vector machine (SVM), K-nearest neighbor (KNN), linear discriminant analysis (LDA), random forest (RF), and decision tree (DT). The findings showed that it is possible to identify the best prediction algorithm associated with a performance model. However, the performance prediction may differ if different strategies for measuring performance or machine learning model configurations are used. In addition, SFA-LOG and SVM had the best performance for regression, and DEA-VRS/IRS excelled with random forest; the RF algorithm was the best fit across all performance approaches. The error rate depends on the algorithm and the performance model, and the number of classes must be reduced to obtain a higher success rate.
Do crises Really Catalyze Creative Destruction? A Critical Reflection on Firm Survival
Authors: Muñoz-Dueñas Pilar , Meijide-Vecino Manuel , Lampón Jesús F. , Vaamonde-Liste Antonio
Published: June 2024

Business survival has been a widely studied phenomenon in management literature given its impact on economic and social reality. There is some consensus that crises have a catalytic effect by driving the least efficient, productive, and profitable firms out of the market, while those best prepared with better technology, products, or business structure survive; this process is known as creative destruction. This study analyzed a sample of 5,000 firms using statistical survival models in order to identify the main factors affecting the life and disappearance of firms in periods of crisis (2008–2012) versus periods of recovery (2016–2020) to detect differentiated patterns of behavior. It was found that those firms that were driven out of the market during the crisis, unlike in the subsequent recovery period, were neither the less profitable nor the less efficient. Instead, more indebted firms or those that did not get the support of credit institutions were withdrawn from market. This result casts doubt on the effectiveness of the theorized process of creative destruction in times of economic crisis.
The Effect of Digital Green Strategic Orientation On Digital Green Innovation Performance: From the Perspective of Digital Green Business Model Innovation
Authors: Yin Shi , Yu Yuanyuan , Zhang Nan
Published: June 2024

Digital technology is gradually penetrating into all kinds of business of green innovation and green development. However, China’s industrial Internet technology foundation is weak. Scholars’ researches on the impact of digital green strategic orientation (DGSO) on digital green innovation performance (DGIP) and the intermediary role of digital green business model innovation (DGBMI) is relatively backward. Therefore, it is particularly important to divide the dimensions of DGSO from the perspective of DGBMI to describe the mechanism of DGIP. In this study, multiple regression approach was used to test the effect of DGSO on DGIP. The mediating role of DGBMI was explored through 562 questionnaires. In addition, the study divides the DGSO into three dimensions: green market orientation (GMO), digital green technology orientation (DGTO), and government orientation. DGBMI is divided into two dimensions: efficiency type and integration type. The results are as follows. (1) GMO, DGTO and government orientation all have positive effects on the improvement of DGIP. (2) GMO has a greater impact on integration DGBMI (IDGBMI). The influence of DGTO on efficient DGBMI (EDGBMI) is more significant. (3) Government orientation has a positive impact on EDGBMI. The influence of DGSO on DGIP can be realized through the intermediary role of EDGBMI and IDGBMI. The essence of this research is to help enterprises understand the characteristics of internal and external environment and make digital-green strategy-oriented choices to improve their DGIP. This study has a certain theoretical contribution to elucidating the influence of DGSO on DGIP and the mediating role of DGBMI. This study also provides a practical basis for enterprises’ digital green innovation practice based on their own environmental optimization and matching of DGSO to improve competitiveness.
A Sustainable Collaborative Talent Management Through Collaborative Intelligence Mindset Theory: A Systematic Review
Authors: Chew Yew Chee , Mohamed Zainal Siti Rohaida
Published: June 2024

As society evolves, moving forward into the realms of Industry 5.0, it is imperative to develop a robust collaborative talent management model that can endure external crises such as the recent Covid-19 pandemic. Despite the antiquity of collaborative practices—traceable back to early human societies—both practitioners and academics have frequently focused primarily on exploring the catalysts for collaboration, often neglecting to provide a holistic conceptualization of effective human collaboration. In alignment with the Sustainable Development Goals, this paper endeavors to critically review and delineate the evolution of talent management and collaborative intelligence literature. Employing a systematic review methodology, this study aims to formulate a novel framework for collaborative talent management, drawing upon the principles of a collaborative intelligence mindset, and to suggest avenues for future research in this domain. The findings propose the employment of collaborative intelligence through a mindset perspective as a means to bridge the literature gaps identified in areas such as interdisciplinary and cross-sector collaboration, digitalization and artificial intelligence, collaborative leadership styles, and performance measurement within the field.
The Effects of Trans-generational Conflict on Trans-generational Entrepreneurship Performance from the Perspective of First-generation Entrepreneurs’ Networks: Evidence from China
Authors: Guo Huiling , Zhang Yuan , Sun Yijia , Yang Wenqian
Published: June 2024

After more than four decades of China’s reform and opening up, many family businesses in China are welcoming the peak of trans-generational inheritance. Therefore, more research is needed to help the second-generation successors avoid the potential negative effect of trans-generational conflicts and keep and maintain the sustainable development of their family businesses. To fill these gaps in the literature, this paper explores the impact of trans-generational conflicts on trans-generational entrepreneurial performance and investigates the moderating role of first-generation entrepreneurs’ business and social networks. Based on a survey data captured from the 221 matched responses from founder and second-generation successors dyads in China, we found that both cognitive and process conflicts have negative effects on trans-generational entrepreneurial performance, and process conflict has a greater negative impact than cognitive conflict. Furthermore, we found that the first-generation entrepreneurs’ business and social networks independently alleviate the negative impact of cognitive conflict on trans-generational entrepreneurial performance. By examining the three-way inaction effect, we also found that the negative effect of process conflict on trans-generational entrepreneurial performance is alleviated. Theoretical and managerial implications are also provided.
Augmented cement shelf acetabuloplasty to improve hip stability in elderly patients with recurrent hemiarthroplasty dislocations
Authors: Gupta Rajul , Dowell Evan , Le Toan Theodore
Published: June 2024

Background

The treatment of dislocated hip hemiarthroplasty in low-demand elderly patients is controversial due to poor results with closed reduction, and significant complications with exchange arthroplasty. This case series demonstrates the use of a novel, simple surgical technique for hip hemiarthroplasty containment without resorting to exchange arthroplasty.

Methods

Eleven patients where screw-augmented cement shelf acetabuloplasty procedures were performed were retrospectively identified. All surgeries were performed by a single attending surgeon, at a level-one trauma center, from 2015 to 2022. Previous dislocations, interventions, co-morbidities, mobility level, and posterior wall deficiency were recorded from the patient's charts. The following outcome measures were recorded: operative time, blood loss, perioperative complications, early and late infections, shelf loosening, subsequent dislocations, and the need for additional procedures.

Results

The median duration between hip hemiarthroplasty and shelf procedure was 56 days. The mean duration of the surgical procedure was only 63 min, and the mean blood loss was only 250 mL. There was only one instance of loosening of the cement shelf. Two patients had surgical site infections leading to sepsis and death. In two patients, the femoral head was exchanged to improve stability. All patients were allowed immediate weight bearing after the procedure.

Conclusions

Shelf acetabuloplasty is a simple, inexpensive, and safe procedure to salvage recurrent hip hemiarthroplasty dislocation in low-demand patients. Shorter surgical duration, relatively lower blood loss, and immediate weight bearing render this an attractive procedure for this fragile population.