bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knowledge management towards sustainable competitive advantage in higher education: an analysis of productive and counter-productive behaviors
Authors: Javed Ansar , Latif Khawaja Fawad , Sahibzada Umar Farooq , Aslam Nadia 
Published: August 2024

PurposeBased on the knowledge-based view (KBV) and theory of planned behavior (TPB), the study aims to investigate the impact of sustainable leadership (SL) on knowledge management processes (KMPs) and the direct influence of KMPs on sustainable competitive advantage (SCA). Additionally, it aims to explore the mediating role of knowledge worker social responsibility (KWSR) in the relationship between KMPs and SCA. Furthermore, this study aims to evaluate the moderating effect of knowledge sabotage behavior (KSB) on the relationship between KMPs and KWSR.Design/methodology/approachThe sample frame consisted of 354 academic and administrative workers from Pakistan’s higher education institutions. The hypothesized relationships were tested using the PLS-SEM approach.FindingsThe study found a significant positive effect of SL on KMPs as well as KMPs on SCA. Partial mediation of knowledge worker social responsibility between knowledge management processes and sustainable competitive advantage was confirmed. Furthermore, our findings indicate the negative moderating effect of knowledge sabotage behavior on the relationship between KMPs and KWSR.Practical implicationsThe outcomes of this research strengthen the universities’ experience of Leadership and recommend how academics and administrators of higher education institutes can value knowledge management, which improves competitive advantage.Originality/valueThe originality of the study lies in elucidating the direct relationship of SL & KMPs with the moderating role of KSB in the link between KMPs and KWSR and the mediating effect of KWSR on the relationship between KMPs and SCA in the setting of higher education institutions (HEIs) in Pakistan. Furthermore, this study provides in-depth insights into the existing body of knowledge on the KBV and TPB about SL, KMPs, and SCA.
A novel multi-stream hand-object interaction network for assembly action recognition
Authors: Shaochen Li , Liu Zhenyu , Huang Yu , Liu Daxin , Duan Guifang , Tan Jianrong 
Published: August 2024

Purpose
Assembly action recognition plays an important role in assembly process monitoring and human-robot collaborative assembly. Previous works overlook the interaction relationship between hands and operated objects and lack the modeling of subtle hand motions, which leads to a decline in accuracy for fine-grained action recognition. This paper aims to model the hand-object interactions and hand movements to realize high-accuracy assembly action recognition.

Design/methodology/approach
In this paper, a novel multi-stream hand-object interaction network (MHOINet) is proposed for assembly action recognition. To learn the hand-object interaction relationship in assembly sequence, an interaction modeling network (IMN) comprising both geometric and visual modeling is exploited in the interaction stream. The former captures the spatial location relation of hand and interacted parts/tools according to their detected bounding boxes, and the latter focuses on mining the visual context of hand and object at pixel level through a position attention model. To model the hand movements, a temporal enhancement module (TEM) with multiple convolution kernels is developed in the hand stream, which captures the temporal dependences of hand sequences in short and long ranges. Finally, assembly action prediction is accomplished by merging the outputs of different streams through a weighted score-level fusion. A robotic arm component assembly dataset is created to evaluate the effectiveness of the proposed method.

Findings
The method can achieve the recognition accuracy of 97.31% and 95.32% for coarse and fine assembly actions, which outperforms other comparative methods. Experiments on human-robot collaboration prove that our method can be applied to industrial production.

Originality/value
The author proposes a novel framework for assembly action recognition, which simultaneously leverages the features of hands, objects and hand-object interactions. The TEM enhances the representation of dynamics of hands and facilitates the recognition of assembly actions with various time spans. The IMN learns the semantic information from hand-object interactions, which is significant for distinguishing fine assembly actions.
From organs to algorithms: Redefining cancer classification in the age of artificial intelligence
Authors: Khozin Sean 
Published: August 2024

AbstractTraditional cancer classification based on organ of origin and histology is increasingly at odds with precision oncology. Tumors in different organs can share molecular features, while those in the same organ can be heterogeneous. This disconnect impacts clinical trials, drug development, and patient care. Recent advances in artificial intelligence (AI), particularly machine learning and deep learning, offer promising avenues for reclassifying cancers through comprehensive integration of molecular, histopathological, imaging, and clinical characteristics. AI‐driven approaches have the potential to reveal novel cancer subtypes, identify new prognostic variables, and guide more precise treatment strategies for improving patient outcomes.
MB09, a denosumab biosimilar candidate: Biosimilarity demonstration in a phase I study in healthy subjects
Authors: Tomaszewska‐Kiecana Monika , Carapuça Elisabete , Florez‐Igual Amalia , Queiruga‐Parada Javier 
Published: August 2024

AbstractThis was a Phase I, randomized, double‐blinded, three‐arm, single‐dose, parallel study aimed to demonstrate pharmacokinetic (PK) similarity between MB09 (a denosumab biosimilar candidate) and reference denosumab (XGEVA® from European Union [EU‐reference] and United States [US‐reference]) in a healthy male population. The primary PK endpoints included: Area under the serum concentration versus time curve from time 0 to the last quantifiable concentration timepoint (AUC0–last); and maximum observed serum concentration (Cmax). Secondary endpoints included: AUC from time 0 extrapolated to infinity (AUC0–∞), time to reach maximum observed concentration, clearance, terminal phase half‐life, pharmacodynamic, safety, and immunogenicity assessments. A total of 255 subjects were randomized (1:1:1) to receive a subcutaneous 35 mg dose of MB09 or reference denosumab. Cmax was reached after denosumab administration, followed by a decline in the concentration with similar terminal phase half‐live across treatment arms. Systemic exposure of MB09 (AUC0–last and Cmax) was equivalent to the reference denosumab, as the 90% confidence intervals around the geometric least square mean ratios laid within the predefined acceptance limits (80.00%, 125.00%) across all comparisons. Pharmacodynamic parameters, based on the percent of change from baseline in serum C‐terminal telopeptide of Type 1 collagen levels, were similar across the three arms. The treatments were considered safe and generally well tolerated, with 92 treatment‐emergent adverse events reported (most Grade 2 and 3) and similarly distributed. Immunogenicity was low and similarly distributed. These results provide strong evidence that supports the biosimilarity between MB09 and denosumab reference products.
1107. Lepisorus boninensis (H.Christ) Ching
Authors: Vasques Diego T. , Ebihara Atsushi , Takenaka Keiko , Miyashita Miho 
Published: August 2024

SummaryWe describe and illustrate the evergreen and epiphytic fern Lepisorus boninensis (H.Christ) Ching, endemic to the Bonin Islands in Japan. This species can be recognised by the dimorphic leaves, the ovate and clathrate scales on the rhizome, and the irregularly‐shaped paraphyses growing between sporangia of the sori.
Trends in alcohol‐attributable morbidity and mortality in Germany from 2000 to 2021: A modelling study
Authors: Kraus Ludwig , Möckl Justin , Manthey Jakob , Rovira Pol , Olderbak Sally , Rehm Jürgen 
Published: August 2024

AbstractIntroductionWe aimed to assess: (i) trends in alcohol‐specific — that is, fully attributable — morbidity and mortality in the German adult population aged 15–69 between 2000 and 2021; and (ii) changes in alcohol‐attributable disease burden — that is, fully and partially alcohol‐attributable categories — for 2006, 2012, 2018 and 2021.MethodsMorbidity data was pulled from hospitalisation and rehabilitation statistics and mortality data was pulled from the causes of death registry. Alcohol use, adjusted for unrecorded consumption, was estimated using the Epidemiological Survey of Substance Abuse and triangulated with per capita consumption from annual sales data. For major disease categories, alcohol‐attributable fractions were estimated for males and females by age groups (15–29, 30–49, 50–69 years) using the comparative risk assessment methodology.ResultsFor males and females, the age‐standardised rate of alcohol‐specific morbidity peaked in 2012 and decreased thereafter showing a steep decline from 2019 to 2021. The rates of alcohol‐specific mortality decreased constantly from 2000 to 2019 but increased from 2019 to 2021. Compared to 2006 the age‐standardised alcohol‐attributable morbidity and mortality rates in males and females were lower in 2021. For both sexes, the age‐standardised alcohol‐attributable morbidity and mortality rates and the proportions of morbidity/mortality rates relative to all‐cause morbidity/mortality decreased between 2006 and 2021.DiscussionThe declines in alcohol‐attributable morbidity and mortality are in line with decreases in consumption and signal that the importance of alcohol in health service utilisation and mortality has weakened. Sex ratios in morbidity and mortality do not indicate a strong converging trend.
Genetic associations with consumption of palatable foods in the absence of hunger in response to food cues in children
Authors: Yeum Dabin , Renier Timothy J. , Masterson Travis D. , Carlson Delaina D. , Ballarino Grace A. , Lansigan Reina K. , Loos Ruth J. F. , Emond Jennifer A. , Gilbert‐Diamond Diane 
Published: August 2024

SummaryObjectiveThe objective of this study is to evaluate obesity‐related genetic factors in relation to excess consumption and assess if food cues modify associations.MethodsChildren (9–12 years) completed a randomized crossover experiment. During two visits, children ate a preload and then snacks ad libitum while watching television, embedded with food or non‐food advertisements to assess eating in the absence of hunger (EAH). Primary exposures were obesity‐associated genotypes, FTO rs9939609 and MC4R rs571312, and a paediatric‐specific polygenic risk score (PRS). Outcomes included consumption of all snacks (total EAH) and gummy candy only (gummy candy EAH). Linear mixed‐effects models tested whether genetic exposures related to EAH outcomes. We tested for effect modification by food cues using multiplicative interaction terms.ResultsAmong 177 children, each FTO risk allele was associated with a 30% increase in gummy candy EAH (p = 0.025) in adjusted models. Food cue exposure exacerbated associations between the FTO variant with gummy candy EAH (p = 0.046). No statistically significant associations were found between MC4R and EAH.ConclusionThe results suggest children with the FTO rs9939609 risk allele may be predisposed to excess consumption of candy and that this association may be exacerbated by food cues.
Planning in management: identifying alternative ways of improving performance toward best practices
Authors: Monge Juan F. , Ruiz José L. 
Published: August 2024

AbstractPlanning is an important part of the management of organizations, which deals with the setting of targets that guide the actions needed to improve performance. Decision making is at the essence of planning, as it involves the identification of alternative directions for improvement and the selection of a future course of action. Decision makers (DMs) appreciate information on different ways of improving performance toward best practices, so they can make a choice of the plan that is more closely aligned with management in an ex post evaluation of possibilities. This paper responds to the need of providing DMs with a few (manageable) alternatives when planning improvements. The proposed approach is developed within the framework of data envelopment analysis (DEA). Although DEA has been used for planning, there is a gap in the literature in the sense that we can find only a few papers that have the explicit aim of identifying alternatives. In order to deal with this issue, we explore the whole DEA strong efficient frontier through all of its maximal efficient faces, which allows us to handle targets determined by a broad range of reference sets, and then use location theory tools, namely a p‐median problem, for the selection of p representatives that define alternative directions for improvement. Eventually, DMs are provided with a decision‐support tool for planning improvements by learning from the best practices of others, without requiring prior information on preferences.
Experiences of Generation Z Nurses Adapting to Work in a Tertiary Hospital: A Grounded Theory Study
Authors: Moon Youngji , Lee Sunhee 
Published: August 2024

ABSTRACTAimTo investigate the adaptation process of Generation Z nurses at a tertiary hospital in Korea.DesignThis qualitative study using grounded theory.MethodsThe participants were 17 Generation Z nurses who were working at tertiary hospitals in Korea. Data were collected through in‐depth interviews from September 2022 to July 2023.FindingsEight categories and 19 concepts were extracted. The core category was ‘accepting deficient myself as a nurse in a vertical culture’, which consisted of three phases: chaos, endeavouring to adapt and accepting myself. In the adaptation process at the tertiary hospital, most of the participants felt embarrassed by tasks. The most of them tended to stay away from stressors and endeavour to improve their competence. The participants who had familiarity and a sense of belonging and achievement tended to acknowledge themselves.ConclusionsThis study provides help in suggesting the importance of a horizontal organisational culture to Generation Z nurses. Also, the support of senior nurses is needed to encourage Generation Z nurses to accept deficient themselves.Implications for the ProfessionGeneration Z nurses tended to feel confused by the vertical culture, uncertainty of work and daunting tasks; excessive criticism and rebuke seems to make Generation Z nurses feel a sense of shame. The family‐centred culture of nursing organisations could cause conflicts for Generation Z nurses who tend to separate their personal lives from work.ImpactGeneration Z nurses had no difficulty acquiring knowledge because they had the skills to search for the necessary information, but they experienced difficulty applying this knowledge in practice and becoming familiar with their role as a nurse.Report MethodsWe adhered to relevant EQUATOR guidelines of the Consolidated Criteria for Reporting Qualitative Research (COREQ).Patient or Public Involvement and EngagementNo patient or public involvement.
Mydriasis associated with ischemic cerebrovascular infarct affecting the ipsilateral cerebellar interposital nucleus in 2 dogs
Authors: Danciu Cecilia‐Gabriella , Fenn Joe , Beltran Elsa 
Published: August 2024

AbstractA 10‐year‐old male neutered crossbreed dog and an 8‐year‐old female neutered greyhound presented after peracute onset of cerebellar dysfunction. The crossbreed dog had anisocoria with the left pupil being mydriatic, spontaneous conjugate rotatory nystagmus with fast phase to the left and delayed postural reactions on the left side. The greyhound had anisocoria with the left pupil being mydriatic, right positional ventral strabismus, absent menace response in the left eye and postural reaction deficits on the left side. For both dogs, the neuroanatomical localization was left cerebellum with paradoxical vestibular syndrome. Magnetic resonance imaging identified a left cerebellar ischemic territorial infarct of the rostral cerebellar artery, involving the region of the left interposital nucleus. Both dogs were given supportive care and at 2‐week follow‐up the anisocoria had resolved. Anisocoria with mydriasis can be a clinical sign in dogs with naturally‐occurring cerebellar ischemic infarcts in the region of the ipsilateral interposital nucleus.
Health beliefs and associated factors related to HPV and HPV vaccination in a sample of Turkish women: A cross‐sectional study
Authors: Gürdal Yağmur , İlhan Nesrin 
Published: August 2024

AbstractThis study was conducted to determine women's health beliefs about HPV and HPV vaccination and factors associated with health beliefs. This cross‐sectional study was conducted with 300 women aged 21–64 in Turkey. Data were collected using the human papillomavirus (HPV) knowledge scale (HPV‐KS) and the health belief model scale for human papillomavirus and its vaccination (HBMS‐HPVV). The mean age of the women who participated in the study was 35.16 ± 9.52 years. Of them, 72.3% heard of the HPV test, 30.3% had an HPV test, 62% heard of HPV vaccination, and 9.7% had HPV vaccination. Educational level, hearing about the HPV vaccine, and HPV knowledge level were significant predictors of perceived benefit (p < .001). HPV knowledge level significantly predicted perceived susceptibility (p < .001). HPV knowledge level and hearing about HPV tests and vaccines were significant predictors of perceived severity (p < .001). A high level of education, a high level of HPV knowledge, and hearing about HPV tests and the HPV vaccine positively affect women's health beliefs. Health belief model‐based education programs should be used to improve women's HPV knowledge and health beliefs about HPV and the HPV vaccine. In addition to women's health beliefs, cervical cancers can only be prevented by including the HPV vaccine in national immunization programs and increasing the coverage of HPV screening tests.
How Does Illness Perception Affect the Quality of Life and Sun Protection Behaviors of Rosacea Patients?
Authors: Akin Gülfem , Akarsu Sevgi , Avcı Ceylan 
Published: August 2024

ABSTRACTBackgroundPrevious studies have noted the link between rosacea severity and quality of life, but there is limited understanding of how disease perception impacts these aspects. Additionally, sun exposure is identified as a common trigger for rosacea flare‐ups, emphasizing the importance of sun protection practices in managing the condition. This cross‐sectional study aims to fill the gap in the literature by investigating the relationship between clinical severity, disease perception, quality of life, and sun protection behaviors in rosacea patients.MethodsQuestionnaires assessing the quality of life, illness perception, sun protection behaviors, sun protection decisional balance, and its potential predictors were completed by 120 rosacea patients and 120 controls.ResultsPatients exhibited a higher prevalence of sun protection behaviors than the control group (24.15 ± 5.76 vs. 17.63 ± 5.56, p < 0.001) and demonstrated greater determination in adhering to sun protection practices (13.43 ± 2.37 vs. 9.40 ± 3.09, p < 0.001). Hierarchical linear regression analyses showed that quality of life was related to clinical severity, illness perception (consequences, illness coherence, emotional representations), causal attribution (risk factors, immunity), and sun protection decisional balance variables (R2 = 0.45, F = 7.39, p < 0.001). Also, the perceived pros and cons of sun protection behaviors were predicted by illness perception (treatment control), causal attribution (risk factors, immunity, chance/accident), and quality of life variables (R2 = 0.24, F = 2.59, p = 0.004).ConclusionsProviding more information to rosacea patients can improve their disease perception and quality of life, increasing adherence to sun protection behaviors.
Genomics‐based plant disease resistance prediction using machine learning
Authors: Upadhyaya Shriprabha R. , Danilevicz Monica F. , Dolatabadian Aria , Neik Ting Xiang , Zhang Fangning , Al‐Mamun Hawlader A. , Bennamoun Mohammed , Batley Jacqueline , Edwards David 
Published: August 2024

AbstractPlant disease outbreaks continuously challenge food security and sustainability. Traditional chemical methods used to treat diseases have environmental and health concerns, raising the need to enhance inherent plant disease resistance mechanisms. Traits, including disease resistance, can be linked to specific loci in the genome and identifying these markers facilitates targeted breeding approaches. Several methods, including genome‐wide association studies and genomic selection, have been used to identify important markers and select varieties with desirable traits. However, these traditional approaches may not fully capture the non‐linear characteristics of the effect of genomic variation on traits. Machine learning, known for its data‐mining abilities, offers an opportunity to enhance the accuracy of the existing trait association approaches. It has found applications in predicting various agronomic traits across several species. However, its use in disease resistance prediction remains limited. This review highlights the potential of machine learning as a complementary tool for predicting the genetic loci contributing to pathogen resistance. We provide an overview of traditional trait prediction methods, summarize machine‐learning applications, and address the challenges and opportunities associated with machine learning‐based crop disease resistance prediction.
Revealing loneliness: Disentangling the interaction of gender and community stigma
Authors: Langenkamp Alexander , Schobin Janosch 
Published: August 2024

AbstractObjectiveThis study investigates whether the perceived stigma of loneliness is positively associated with the concealment of loneliness and whether this association varies by the gender of the individual and their conversation partner.MethodsUtilizing ordinal probit regression analysis on data from 1671 German survey participants with three‐way interactions, we analyze whether participants are more likely to conceal loneliness based on their perceived stigma of loneliness, their gender, and the gender of fictional, randomly assigned conversation partners.ResultsOur analysis finds that perceived stigma is positively associated with the concealment of loneliness, with this association being stronger among men compared to women. Additionally, while the influence of perceived stigma on concealment is not significant for women in same‐sex interactions, it is significantly stronger for men in same‐sex interactions.ConclusionThe interaction of gender, interviewer characteristics, and perceived stigma should be considered when designing surveys and implementing effective interventions and policies to address and destigmatize loneliness.
Prediction of Touch-Trigger Probing Error Profiles by a Six-Axis Robot
Authors: Masamine Keisuke , Ibaraki Soichi , Hamamura Minoru , Takahara Osamu 
Published: August 2024

Abstract
There is a growing need for “in-line measurement” of geometric accuracy of the manufactured parts in the manufacturing line. An industrial robot with a touch-trigger probe installed to its end effector can be potentially applied to such an inline measurement as a portable coordinate measuring machine (CMM). However, the absolute positioning accuracy of robots is often very poor compared to the conventional CMMs. This paper presents that the accuracy of robotic touch-trigger probing can be improved by using the kinematic model containing the angular positioning error of each rotary axis as error sources. The measurement accuracy of robotic touch-trigger probing is experimentally investigated in the straightness measurement of a pre-calibrated artefact, placed at various positions within the workspace of the robot. Significant influence of the rotary axis angular positioning errors on the straightness measurement by robotic probing is revealed.