bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effects of persuasion principles on perceived honesty during shoulder surfing attacks
Authors: Jones Keith S. , Tornblad McKenna K. , Armstrong Miriam E. , Choi Jinwoo , Siami Namin Akbar 
Published: August 2024

Purpose
This study aimed to investigate how honest participants perceived an attacker to be during shoulder surfing scenarios that varied in terms of which Principle of Persuasion in Social Engineering (PPSE) was used, whether perceived honesty changed as scenarios progressed, and whether any changes were greater in some scenarios than others.

Design/methodology/approach
Participants read one of six shoulder surfing scenarios. Five depicted an attacker using one of the PPSEs. The other depicted an attacker using as few PPSEs as possible, which served as a control condition. Participants then rated perceived attacker honesty.

Findings
The results revealed honesty ratings in each condition were equal during the beginning of the conversation, participants in each condition perceived the attacker to be honest during the beginning of the conversation, perceived attacker honesty declined when the attacker requested the target perform an action that would afford shoulder surfing, perceived attacker honesty declined more when the Distraction and Social Proof PPSEs were used, participants perceived the attacker to be dishonest when making such requests using the Distraction and Social Proof PPSEs and perceived attacker honesty did not change when the attacker used the target’s computer.

Originality/value
To the best of the authors’ knowledge, this experiment is the first to investigate how persuasion tactics affect perceptions of attackers during shoulder surfing attacks. These results have important implications for shoulder surfing prevention training programs and penetration tests.
Global resurgence: private asset reconstruction companies as legal catalysts for financial stability in India and beyond
Authors: Jaiwani Megha , Gopalkrishnan Santosh 
Published: August 2024

Purpose
This study aims to transcend geographical boundaries and provide insights into innovative strategies used by Indian Asset Reconstruction Companies (ARCs) in managing distressed assets. The study examines the origins, evolution, challenges and opportunities faced by ARCs to derive lessons that can be universally applicable and serve as a valuable blueprint for global investors and institutions seeking effective strategies in managing distressed assets. From a legal and compliance angle, this opens up many perspectives that would help plug loopholes and grey zones within the legal ambit for organisations and institutions.

Design/methodology/approach
The study invokes a critical review of existing literature, news, discussions and publicly available information from reliable sources such as the central bank’s websites to develop the viewpoints and provide recommendations.

Findings
ARCs face challenges, recovering only 19.15% of distressed assets in 2022. Despite constraints like funding, governance issues and regulatory hurdles, there is a substantial opportunity for investors in the Rs. 9.6 lakh crore non-performing assets. The study suggests strategic assessments by banks, emphasises ARCs’ roles in specific sectors and calls for regulatory adjustments. With diverse investors and favourable regulations, this evolving landscape offers significant global opportunities for policymakers and investors in distressed assets.

Practical implications
This study serves as a valuable guide for shaping resilient policies, fostering cross-border collaborations and optimising distressed asset management strategies on a global scale.

Originality/value
This study breaks new ground by examining the private ARCs sector within an emerging economy’s dynamics, presenting insights relevant to global distressed markets. This study serves as a unique resource for those navigating the complexities of distressed markets globally, providing insights that can inform strategies, policies and academic discussions in the broader financial landscape.
The fourth industrial revolution and the agri-food labour market: a systematic literature review
Authors: Musa Siti Fatimahwati Pehin Dato , Ariff Lim Syamimi 
Published: August 2024

Purpose
The fourth industrial revolution (4IR) technological development has undeniably brought major challenges to the agricultural labour market, hampering the adoption of smart technologies in the sector. This study aims to explore a series of literature on the 4IR aspects surrounding agri-food research. In particular, this study will evaluate the challenges faced by the agri-food labour market in response to the emergence of 4IR and propose solutions to strengthen the agri-food sector in response to 4IR.

Design/methodology/approach
The preferred reporting items for systematic reviews and meta-analyses methodology was used to systematically screen, review and synthesize the literature on 4IR surrounding agri-food research.

Findings
While applying 4IR technologies spells opportunities for productivity growth and food security, the results revealed that these advanced technological innovations also create challenges to the agri-food sector labour market. Some identified challenges are financial constraints, lack of “Industry 4.0” knowledge and skills, lack of awareness and interest and inadequate government support. Correspondingly, to smoothen the transition to 4IR workplaces, the proposed solutions include offering relevant education and training, gaining access to government support and engaging in collaborative public-private partnerships.

Originality/value
Given the limited understanding of how technological applications can affect the agri-food sector, this study offers a more nuanced understanding of the gaps related to 4IR within the agri-food sector. By assessing the labour market challenges and addressing solutions for the adoption of digital technologies in agriculture, this study presents valuable insights into how relevant stakeholders in the agri-food sector should embrace Agriculture 4.0.
Masking and mediating effects: mediating mechanisms of occupational stigma and job meaningfulness among Chinese takeaway riders
Authors: Song Lihong , Xie Zhaoyi , Chen Qiaoyi , Liu Ziqi 
Published: August 2024

PurposeThis paper expects to analyze the connection between occupational stigma and job meaningfulness among Chinese takeaway riders, the mediating role of occupational identity and relative deprivation, and the moderating effect of job stress based on resource conservation theory.Design/methodology/approachThe sample was derived from 371 takeaway riders across China. PLS-SEM was mainly utilized for the data analysis.FindingsThe findings of the study indicated a significant negative correlation between occupational stigma and job meaningfulness. Furthermore, it is worth noting that relative deprivation and occupational identity served as mediators and masks, respectively, in the relationship between occupational stigma and job meaningfulness. Furthermore, job stress amplifies the association between occupational stigma and occupational identity. Additionally, job stress diminishes the connection between occupational stigma and relative deprivation.Originality/valueThis study proposes a positive correlation between occupational stigma and occupational identity in the Chinese context. It also enriches the empirical research based on resource conservation theory. Furthermore, it holds practical implications for takeaway riders in China, offering insights to bolster their job meaningfulness.
The performance comparison of machine learning methods for solar PV power prediction
Authors: Demir Funda 
Published: August 2024

Purpose
The energy generation process through photovoltaic (PV) panels is contingent upon uncontrollable variables such as wind patterns, cloud cover, temperatures, solar irradiance intensity and duration of exposure. Fluctuations in these variables can lead to interruptions in power generation and losses in output. This study aims to establish a measurement setup that enables monitoring, tracking and prediction of the generated energy in a PV energy system to ensure overall system security and stability. Toward this goal, data pertaining to the PV energy system is measured and recorded in real-time independently of location. Subsequently, the recorded data is used for power prediction.

Design/methodology/approach
Data obtained from the experimental setup include voltage and current values of the PV panel, battery and load; temperature readings of the solar panel surface, environment and the battery; and measurements of humidity, pressure and radiation values in the panel’s environment. These data were monitored and recorded in real-time through a computer interface and mobile interface enabling remote access. For prediction purposes, machine learning methods, including the gradient boosting regressor (GBR), support vector machine (SVM) and k-nearest neighbors (k-NN) algorithms, have been selected. The resulting outputs have been interpreted through graphical representations. For the numerical interpretation of the obtained predictive data, performance measurement criteria such as mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE) and R-squared (R2) have been used.

Findings
It has been determined that the most successful prediction model is k-NN, whereas the prediction model with the lowest performance is SVM. According to the accuracy performance comparison conducted on the test data, k-NN exhibits the highest accuracy rate of 82%, whereas the accuracy rate for the GBR algorithm is 80%, and the accuracy rate for the SVM algorithm is 72%.

Originality/value
The experimental setup used in this study, including the measurement and monitoring apparatus, has been specifically designed for this research. The system is capable of remote monitoring both through a computer interface and a custom-developed mobile application. Measurements were conducted on the Karabük University campus, thereby revealing the energy potential of the Karabük province. This system serves as an exemplary study and can be deployed to any desired location for remote monitoring. Numerous methods and techniques exist for power prediction. In this study, contemporary machine learning techniques, which are pertinent to power prediction, have been used, and their performances are presented comparatively.
Is trade relevant to the macro drivers of carbon dioxide emissions? A study of high‐ and low‐trade openness economies
Authors: Suleman Shahida , Thas Thaker Hassanudin Mohd , Cheong Wing Hoh Calvin 
Published: August 2024

AbstractThe objective of this research is to systematically compare the impact of macro determinants on CO2 emissions, using the theoretical frameworks of trade, the Environmental Kuznets Curve, and the Pollution Haven Hypothesis. The study specifically focuses on high‐ and low‐trade‐openness economies from 1995 to 2020. Methodologies employed include stepwise regression, fully modified least squares, pooled ordinary least squares, and fixed effects models. Long‐run dynamics were assessed using Granger causality tests and Pedroni and Johansen cointegration tests. The results indicate both long‐term and short‐term relationships between CO2 emissions and the following variables: (i) gross capital formation (GCF), (ii) per capita income (PCI), (iii) population (POP), and (iv) trade openness. Trade openness has a positive and significant effect on CO2 emissions in highly trade openness economies, whereas it has a negative effect in low trade‐open economies. Highly open economies are more significantly impacted by GCF and POP on CO2 emissions compared with low‐ trade openness economies. Additionally, PCI positively and significantly influences CO2 emissions in low‐ trade openness countries, and this effect is greater than in high‐ trade openness economies. The study also identifies a bidirectional causal relationship between PCI, GCF, and CO2 emissions in both groups of economies, as well as a unidirectional relationship between trade openness, POP, and CO2 emissions in both high‐ and low‐ trade openness countries.
Sell‐side analysts as social intermediaries
Authors: Li Guangyu , Spence Crawford , Chen Zhong 
Published: August 2024

AbstractRecent research on sell‐side analysts emphasizes the centrality of social ties and social interactions to what they do. However, we know little about how analysts create or maintain relationships over both the short and long terms. We remedy that in this qualitative study by illustrating the microlevel processes that analysts engage in as part of developing a network of relations around them. Starting from the premise that economic actions are embedded in social relations and drawing on interviews with analysts, fund managers, and investor relations officers in China, we show how analysts forge both weak and strong social ties to create an infrastructure of social networks that is foundational to information intermediation. This perspective broadens our understanding of sell‐side analysts as social, rather than solely information, intermediaries and highlights how information asymmetries often have a social basis.
Racial and ethnic differences in self‐reported barriers to substance use treatment among emergency department patients
Authors: Ahmad Neha Jia , Shapiro Hannah , Griffin Margaret L. , Weiss Roger D. , Macias‐Konstantopoulos Wendy L. 
Published: August 2024

AbstractBackground and ObjectivesAs overdose rates rise among non‐White Americans, understanding barriers to substance use disorder (SUD) treatment access by race and ethnicity is important. This study explores self‐reported barriers to SUD treatment by race and ethnicity in emergency department (ED) populations.MethodsWe conducted a secondary, exploratory analysis of a randomized trial of patients not seeking SUD treatment who endorsed active drug use at six academic EDs. Responses to the Barriers to Treatment Inventory were compared by race, ethnicity, and drug severity, using χ2 tests (N = 858), followed by adjusted logistic regression models.ResultsAbsence of a perceived drug problem (39% non‐Hispanic Black, 38% Hispanic, 50% non‐Hispanic White; p ≤ .001) was the most prevalent barrier to SUD treatment. Non‐Hispanic Black participants were less likely to state that they could handle their drug use on their own (OR = 0.69, CI = 0.50–0.95), and were more likely to report disliking personal questions than non‐Hispanic White participants (OR = 1.49, CI = 1.07–2.09). Non‐Hispanic Black participants were less likely than Hispanic participants to agree that treatment availability (OR = 0.46, CI = 0.28–0.76) and family disapproval (OR = 0.38, CI = 0.16–0.91) were treatment barriers.Discussion and ConclusionsScreening and counseling may help address the barrier, common to all groups, that drug use was not seen as problematic. Expanding access to diverse treatment options may also address the range of barriers reported by our study population.Scientific SignificanceOur study is one of the first in the U.S. to examine both individual and structural barriers to accessing treatment and to examine the association with drug use severity by race/ethnicity.
Combination of rituximab and methotrexate followed by rituximab and cytarabine in elderly patients with primary central nervous system lymphoma
Authors: Yi Jun Ho , Kim Seok Jin , Yang Deok‐Hwan , Do Young Rok , Won Jong Ho , Baek Dongwon , Shin Ho Jin , Kim Dae Sik , Kim Hyo Jung , Kang Ka‐won , Bae Sung Hwa , Kwon Ji‐Hyun , Kwon Jung Hye , Park Byeong Bae , Kim Won Seog 
Published: August 2024

SummaryThe optimal treatment strategy for newly diagnosed primary central nervous system lymphoma (PCNSL) has yet to be established, especially in the elderly. In the current study, we conducted a phase II study to evaluate the efficacy and safety of rituximab plus high‐dose MTX followed by rituximab plus cytarabine in patients aged ≥60 years newly diagnosed with PCNSL. Patients received an induction treatment of high‐dose methotrexate plus rituximab followed by two cycles of a consolidation treatment of cytarabine plus rituximab. The primary end‐point was a 2‐year progression‐free survival (PFS) rate. A total of 35 patients were recruited, and their median age was 73 (range: 60–81). After induction treatment, the complete and partial responses (PRs) were 56% and 20% respectively. Twenty‐six patients proceeded to the consolidation treatment; the complete and PRs were 59% and 9% respectively. After a median follow‐up duration of 36.0 months, the 2‐year PFS rate was 58.7%. Treatment was generally well‐tolerated as only three patients were withdrawn from the study due to toxicity, and no treatment‐related mortality was reported. The 2‐year overall survival rate was 77.9%. The current study may suggest the feasibility of administering high‐dose MTX plus cytarabine in PCNSL patients aged ≥60 years and the potential role of additive rituximab.
Recommendations for managing adults with chronic non‐cancer pain in primary care: A systematic clinical guideline review
Authors: Mazurenko Olena , O'Brien Emer , Beug Anna , Smith Susan M. , McCarthy Caroline 
Published: August 2024

AbstractRationaleChronic non‐cancer pain (CNCP) is a leading driver of disability. Primary care clinicians treat most patients with CNCP. Yet, they are often unable to identify appropriate pain treatments, mainly due to concerns about the safety and effectiveness of available medications. Clinical practice guidelines (CPGs) can be useful tools to guide primary care clinicians in selecting pain treatments based on the best available evidence.ObjectivesTo undertake a systematic review of CPGs that address the management of adults with CNCP, regardless of underlying condition type, in primary care.MethodWe systematically reviewed and synthesised current CPGs for managing adults with CNCP in primary care (2013–2023). We followed a stepwise systematic process to synthesise key CPG recommendations: extracted and analysed each recommendation, synthesised by compiling similar recommendations using a thematic analysis approach, and assessed the strength of CPG recommendations to create a final, unified set of recommendations. We focused on identifying CPGs containing recommendations on the following topics: (a) opioid pain management, (b) non‐opioid pharmacological pain management, (c) non‐pharmacological pain management, and (d) patient‐centred communication around pain management, prevention, and organisation of care.ResultsWe included 13 CPGs, 8 of which focused solely on use of opioids, emphasising the lack of long‐term effectiveness and safety concerns, being mainly based on the expert consensus. As an exception, high‐quality evidence recommended referring patients with suspected opioid use disorder to specialist addiction services for medication‐assisted treatment. Recommendations for non‐opioid pain management were often contradictory and based on the expert consensus. Patient‐centred pain management combined with exercise‐based interventions and psychological therapies are appropriate strategies for managing patients with CNCP.ConclusionMost CPGs focused on opioid management, with contradictory recommendations for non‐opioid management based on low‐quality evidence. Additional research is needed to strengthen the evidence for using non‐opioid and non‐pharmacological interventions to manage patients with CNCP.
Confined placental mosaicism with trisomy 13 complicated by severe preeclampsia: A case report and literature review
Authors: Ito Takaaki , Takahashi Hironori , Horie Kenji , Nagayama Shiho , Ogoyama Manabu , Fujiwara Hiroyuki 
Published: August 2024

AbstractA 31‐year‐old primiparous woman underwent non‐invasive prenatal testing. The result was trisomy 13 (T13) positive. The chromosome 13 t‐statistics (Z‐score) was significantly high. The result of amniocentesis was normal karyotype (46,XX). Detailed ultrasound showed no fetal structural abnormalities. We suspected T13 confined placental mosaicism (CPM) and observed the course naturally. From the late second trimester, severe fetal growth restriction manifested followed by proteinuria and hypertension, diagnosing her with preeclampsia (PE). At 35 + 5 weeks, emergent cesarean section was required, yielding a 1480 g female infant. We sampled five locations of chorionic villi in the placenta. T13 cells dominated cells with normal karyotypes in all parts and the rate of trisomic cells ranged from 57% to 96%, which were generally high rate. None developed PE in reported T13 CPM cases and this is the first case of PE. The dominancy of T13 cells can be associated with PE development.
Legalizing transphobia: from courtroom to legislature, how gender‐critical activism is hurting us all
Authors: WALTERS MARK AUSTIN 
Published: August 2024

AbstractThis article scrutinizes the strategic legal and political actions taken by gender‐critical feminist (GCF) scholars and activists aimed at curtailing protections afforded under existing equality law and criminal justice policies that safeguard transgender individuals against discrimination and victimization. Two prominent legal judgments are critically reviewed to highlight the phenomenon of crowdfunded litigation and to exemplify the ways in which the law can be (mis)used to shape public perceptions of trans identities and, consequently, how this impacts trans individuals’ full and equal participation in society. The subsequent analysis examines how the previous and current governments’ support of the GCF movement has led to newly proposed, and recently enacted, legislation and policies restricting trans rights and legal protections. The article concludes by reflecting on how these coordinated legal interventions detrimentally affect the emotional, physical, and social well‐being of trans individuals, while simultaneously contributing to a broader political narrative aimed at dismantling protections against discrimination and victimization for all marginalized groups.
Fixing disconnects: Exploring the emergence of principled adaptations in a competency‐based curriculum
Authors: Ott Mary C. , Dengler Lori , Hibbert Kathryn , Ott Michael 
Published: August 2024

AbstractPurposeCompetency‐based medical education (CBME) promises to improve medical education through curricular reforms to support learner development. This intention may be at risk in the case of a Canadian approach to CBME called Competence by Design (CBD), since there have been negative impacts on residents. According to Joseph Schwab, teachers, learners and milieu must be included in the process of curriculum‐making to prevent misalignments between intended values and practice. This study considered what can be learned from the process of designing, enacting and adapting CBD to better support learners.MethodsThis qualitative study explored the making of CBD through the perspectives of implementation leads (N = 18) at national, institutional and programme levels. A sociomaterial orientation to agency in curriculum‐making guided the inductive approach to interviewing and analysis in phase one. A deductive analysis in phase two applied Schwab's theory to further understand sources of misalignments and the purpose of adaptive responses.ResultsMisalignments occurred when the needs of teachers, learners and milieu were initially underestimated in the process of curriculum‐making, disconnecting assessment practices from experiences of teaching, learning and entrustment. While technical and structural issues posed significant constraints on agency, some implementation leads were able to make changes to the curriculum or context to fix the disconnects. We identified six purposes for principled adaptations to align with CBME values of responsive teaching, individualised learning and meaningful entrustment.ConclusionCollectively, the adaptations we characterise demonstrate constructive alignment, a foundational principle of CBME in which assessment and teaching work together to support learning. This study proposes a model for making context‐shaped, values‐based adaptations to CBME to achieve its promise.