bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decision-making approach based on bipolar complex fuzzy Hamacher power aggregation operators for classifying computer forensics
Authors: Sun Dechao , Mahmood Tahir , Rehman Ubaid ur , Zeng Shouzhen 
Published: November 2024

PurposeGathering, analyzing and securing electronic data from various digital devices for use in legal or investigative procedures is the key process of computer forensics. Information retrieved from servers, hard drives, cellphones, tablets and other devices is all included in this. This article tackles the challenging problem of how to prioritize different kinds of computer forensics and figure out which kind is most useful in cases of cybercrime, fraud, theft of intellectual property, harassment and espionage.Design/methodology/approachTherefore, we first introduce enhanced versions of Hamacher power aggregation operators (AOs) within the framework of bipolar complex fuzzy (BCF) sets. These include BCF Hamacher power averaging (BCFHPA), BCF Hamacher power-weighted averaging (BCFHPWA), BCF Hamacher power-ordered weighted averaging (BCFHPOWA), BCF Hamacher power geometric (BCFHPG), BCF Hamacher power-weighted geometric (BCFHPWG) and BCF Hamacher power-ordered-weighted geometric (BCFHPOWG) operators. Employing the devised AOs, we devise a technique of decision-making (DM) for dealing with DM dilemmas with the BCF set (BCFS).FindingsWe prioritize different types of computer forensic by taking artificial data in a numerical example and getting the finest computer forensic. Further, by this example, we reveal the applicability of the proposed theory. This work provides a more elaborate and versatile procedure for classifying computer forensics with dual aspects of criteria and extra fuzzy information. It allows for better and less biased DM in the more intricate digital investigations, which may lead to better DM and time-saving in real-life forensic scenarios. To demonstrate the significance and impression of the devised operators and techniques of DM, they are compared with existing ones.Originality/valueThis research is the first to combine Hamacher and power AOs in BCFS for computer forensics DM. It presents new operators and a DM approach that is not encountered in the existing literature and is specifically designed to deal with the challenges and risks associated with the classification of computer forensics. The framework’s capacity to accommodate bipolar criteria and extra fuzzy information is a major development in the field of digital forensics and decision science.
The esports experience economy: a multiple-case study of esports events, peripherals and fashion
Authors: Brock Tom , Crawford Garry 
Published: November 2024

PurposeThis study aims to examine the cultural and economic circumstances that shape esports consumer agency through case studies of “experiential consumption” (Miles, 2021).Design/methodology/approachA multiple-case study approach (Stake, 2006) is deployed alongside participant observation and document analysis to identify three cases of experiential consumption in esports – an esports tournament, a large online community for gaming peripherals and accessories, and an esportswear fashion brand.FindingsThe research identifies three aspects of experiential consumption relevant to esports. First, tournaments are sensory and emotional “spectacles”, immersing consumers in memorable experiences. Second, online gaming communities enable consumers to express themselves through “self-work”. Third, esportswear companies engage consumers with exclusive, authentic fashion experiences via “lifestyle branding”.Research limitations/implicationsThe case studies highlight the need for future cross-cultural research on esports experiences, particularly how regional differences shape consumer behaviour. The impact of emerging technologies like virtual reality (VR), augmented reality (AR), blockchain and AI on personalising experiences, enhancing interactivity and related ethical considerations should be further explored.Practical implicationsEsports stakeholders can enhance esports events with real-time data analytics, VR and AR to create immersive experiences. They can also diversify income streams via personalised and exclusive apparel lines that reflect consumer identity, collaborating with mainstream fashion or entertainment brands. Compelling, emotionally resonant storytelling can deepen fan engagement and help build brand loyalty.Originality/valueThis article presents a new theoretical understanding of esports consumption through multiple case studies of experiential consumption, revealing the central role that “experience” plays in shaping the design and choice of esports products and services.
Does corporate environmental responsibility make firms greener in innovation? The role of knowledge flows
Authors: Xiong Deping , Liu Hanxiao , Yang Meng , Duan Yunlong 
Published: November 2024

Purpose
In the context of severe environmental pollution and resource shortage, this study aims to examine how knowledge flows affect the green activities of firms. Specifically, this paper explored whether the firms’ knowledge flows, namely, knowledge inflow (KIF) and knowledge outflow (KOF), play a moderating role in relationship between corporate environmental responsibility (CER) and green innovation in Chinese high-polluting firms.

Design/methodology/approach
The analysis was carried out based on a panel data set of 305 heavy-polluting Chinese listed firms from 2010 to 2020. Meanwhile, this paper adopted the fixed model to empirically attest the proposed hypotheses regarding the relationships among CER, knowledge flows and green innovation.

Findings
The results indicate that there is a U-shaped relationship between CER and green innovation, while the two dimensions of knowledge flows exert opposing effects on the nonlinear link between CER and green innovation. Specifically, KIF positively moderates the effect of CER on green innovation, whereas KOF negatively moderates the effect of CER on green innovation.

Originality/value
This study demonstrates how green innovation can be influenced by CER and, moreover, provides a more nuanced understanding of the value of knowledge management (KM) in firms’ green activities. In this way, this paper answers the call for understanding the importance of green transformation in the context of KM.
Data-driven approach to fault detection for hospital HVAC system
Authors: Aghili Seyed Abolfazl , Khanzadi Mostafa , Haji Mohammad Rezaei Amin , Rahbar Morteza 
Published: November 2024

PurposeHospital heating, ventilation and air conditioning (HVAC) systems are essential to patient safety and wellness. System malfunctions, however, may result in energy waste and even pose health dangers. This project aims to provide a fault detection and diagnostics framework designed primarily for HVAC systems in hospitals.Design/methodology/approachIn order to identify problems in hospital air handling units, the study uses a data-driven methodology that makes use of Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) models. To address the problem of uneven data, the dataset is balanced. Other machine learning classifiers, such as Logistic Regression, Multilayer Perceptron, Support Vector Machine, Random Forest, Gradient Boosting and eXtreme Gradient Boosting, are compared to see how well the LSTM and GRU models perform.FindingsRegarding defect detection, the LSTM and GRU models outperform traditional classifiers in terms of both accuracy and computation speed, with high accuracy rates surpassing 90%. Due to its simpler design, GRU achieves higher accuracy and performs faster calculations than LSTM. These recurrent models work well to identify temporal relationships in time-series data, which is crucial for detecting HVAC system problems.Originality/valueThis study closes a research gap by concentrating on issue identification in hospital HVAC systems using actual data. It illustrates how deep learning may increase the precision of fault identification and computational efficiency in medical settings by utilizing LSTM and GRU models.
3‐Deoxyanthocyanidins: Extraction, stability, and food applications
Authors: Zhou Xuefu , Zhang Pangzhen , Ying Danyang , Duan Xu , Fang Zhongxiang 
Published: November 2024

Abstract3‐Deoxyanthocyanidins, a rare class of anthocyanins, have gained increasing popularity due to their notable stability and bioactive properties. The enhanced stability of these colorants is attributed to the absence of a hydroxyl group at the C‐3 position. This absence leads to unique response mechanisms to environmental factors, such as pH, temperature, and light exposure. It also results in different interactions with biopolymers and co‐pigments. Sorghum is the only dietary source of 3‐deoxyanthocyanidins, which predominantly accumulate in the bran where the cell walls are extensively cross‐linked. This restricts their extraction, which is the premise of application. Therefore, this review compares the extraction efficiencies of 3‐deoxyanthocyanidins using conventional and innovative methods, discusses the qualification and quantification of such colorants, and summarizes factors affecting their stability, highlighting the differences in the behavior of anthocyanins and 3‐deoxyanthocyanidins influenced by these factors. This work provides insights for extracting and stabilizing 3‐deoxyanthocyanidins and proposes their potential applications in the food system.
Joint value creation: A functional, proactive approach to contract governance
Authors: Hurmerinta‐Haanpää Anna , Berger‐Walliser Gerlinde 
Published: November 2024

AbstractThe recurrent series of crises demonstrates that supply chains are frequently susceptible to disruption. It is imperative they adapt to evolving economic, ecological, social, and geopolitical circumstances. Economists and management scholars have introduced contract governance models that facilitate adaptation and collaboration; however, these models have been largely ignored in the legal field. This article addresses a significant gap in the existing literature on commercial contracts, which is currently fragmented between legal, economic, and organizational perspectives. The article proposes a functional, proactive contracting framework focused on joint value creation. The framework integrates insights from transaction cost economics, relational contract theory, relational view, functional contracting, proactive contracting, and legal design. It provides an instrument for contracting parties to co‐create contracts that enhance performance, reduce transaction costs, devise contingency plans, and utilize contracts as user‐centric tools to support relational governance practices and sustainability. A case study on Finnish Alliance Model Contract Clauses demonstrates the benefits of this approach in fostering more collaborative and resilient commercial contracts.
Knockdown of RUVBL2 improves hnRNPA2/B1‐stress granules dynamics to inhibit perioperative neurocognitive disorders in aged mild cognitive impairment rats
Authors: Wang Zixuan , Yang Chenyi , Wang Xinyi , Liao Huihui , Liu Xing , Liu Huan , Zhang Miao , Zhang Lin , Wang Haiyun 
Published: November 2024

AbstractPerioperative neurocognitive disorders (PND) is common in aged mild cognitive impairment (MCI) patients and can accelerate the progression to dementia. This process involves heterogeneous nuclear ribonucleoprotein A2/B1 (hnRNPA2/B1)‐mediated aggregates of stress granules (SGs), while RUVBL2 influences the dynamics of these SGs. Our research explored a new target for modulating hnRNAPA2/B1‐SGs dynamics to accelerate their disassembly and potentially delay MCI progression due to PND. We assessed the effect of hippocampal RUVBL2 knockdown on hnRNPA2/B1‐SGs in aged MCI rats through behavioral studies, biochemical experiments and MRI. We also examined hnRNPA2/B1‐SGs dynamics using immunofluorescence staining and fluorescence recovery after photobleaching (FRAP) in rat primary hippocampal neurons. Our results revealed that hnRNPA2/B1 in the hippocampus of aged MCI rats translocates to the cytoplasm to form SGs following anesthesia. RUVBL2 knockdown promotes the disappearance of hnRNPA2/B1‐SGs, allowing hnRNPA2/B1 to return to the nucleus and enhancing functional activity in the brain regions of aged MCI rats. In primary hippocampal neurons, RUVBL2 deletion facilitated hnRNPA2/B1‐SGs transition from hydrogel to liquid, promoting disassembly. We compared three commonly used general anesthetics—3% sevoflurane, 40 mg·kg−1·h−1 propofol, and 9% desflurane. Sevoflurane upregulated RUVBL2, which decreased the intraneuronal pH and disrupted energy metabolism. These changes resulted in greater stabilization of hnRNPA2/B1‐ SGs. In conclusion, our findings indicated that the knockdown of RUVBL2 expression contributes to the transition of hnRNPA2/B1‐SGs from the hydrogel phase to the liquid phase. Targeted interference with RUVBL2 may represent a novel approach to delay the progression to dementia due to PND in aged MCI patients.
A 3‐bp deletion in the SLC45A2 gene is associated with loss of fleece pigmentation in black‐fleeced Suffolk sheep
Authors: Tearle R. G. , Chen T. , Brien F. D. 
Published: November 2024

AbstractSheep have naturally pigmented wool which interferes with dyeing. Selection has been carried out over many years to remove pigment, with substantial success, but most wool still contains some pigment. As an alternative to selection, it has been proposed to take a naturally occurring mutation found in black Suffolk sheep, that blocks wool pigmentation, and introgress it into other breeds. However, the nature of the mutation has not been identified, prompting us to characterise it. The Suffolk white‐fleece phenotype is associated with a novel 3‐bp deletion in the gene SLC45A2, which encodes a membrane bound transporter that mediates melanin synthesis. The deletion results in the removal of one amino acid from the protein. The assignment of this deletion as the likely causative mutation is supported by it: being homozygous in the genome of nine animals with a white fleece and not homozygous in the genomes of eight animals with a black fleece; having a high level of conservation of the encoded amino acid sequence in the region surrounding the deleted amino acid across Mammalia; and the same deletion (but in a compound heterozygous state) being found in human SLC45A2 in a person with albinism.
Using real‐time Delphi methods to develop a consensus‐based framework to improve nursing assessment in residential aged care
Authors: Fry Margaret , Curtis Kate , Considine Julie , Viengkham Catherine , Watson Karen , Dunsmore Moira , Shaban Ramon Z. 
Published: November 2024

AbstractObjectivesEvidence‐based tools are needed to support aged care nurses in recognising and responding to changes in residents' conditions and clinical deterioration. Systematised emergency nursing frameworks such as HIRAID® (History including Infection risk, Red flags, Assessment, Interventions, Diagnostics, reassessment and communication) assist nurses in accurately assessing and documenting a patient's condition and identifying and prioritising care needs. This study aimed to adapt the HIRAID® emergency nursing framework for use in the residential aged care setting.MethodsA real‐time Delphi method was employed to contextually adapt the HIRAID® framework. Twelve expert health‐care clinical leaders with understanding of patient assessment and residential aged care management were recruited through purposive sampling. Panel consensus was established a priori at 80%. A secondary measure of panel stability was used to understand panel consensus.ResultsConsensus was reached after two survey rounds. In Round 1, 105 (88%) of 119 items were accepted after reaching consensus. In Round 2, all remaining 29 items reached consensus, whereby 20 were accepted and nine rejected. Key modifications were identified for ‘History’, which needed to consider more comprehensive and adaptive techniques, and ‘Interventions’ and ‘Diagnostics’, where differences arose in the scope of practice of aged care nurses compared to their acute care counterparts.ConclusionThe study demonstrated how a small expert multidisciplinary health‐care panel can be stable and reach consensus to adapt and contextualise an emergency care framework to the aged care setting. These findings will form the content to scaffold educational resources to support learning and practice change.
Contributions of self‐efficacy, L2 grit and digital literacy to informal digital learning of English: A structural equation modelling approach
Authors: Barkati Maryam , Kiyanfar Zhila , Azari Noughabi Mostafa , Ershadi Fatemeh 
Published: November 2024

AbstractDespite the proliferation of studies on computer‐assisted language learning, scant research attention has been paid to informal digital learning of English (IDLE) and its antecedents. Therefore, the current study aimed to investigate whether Iranian EFL learners' L2 grit, digital literacy and self‐efficacy contributed to their IDLE. A total of 313 EFL learners (96 males, 217 females), selected through snowball sampling, completed an electronic survey. Structural equation modelling (SEM) was employed to analyse the relationships between the main variables. The results of SEM analysis revealed that EFL learners' digital literacy, L2 grit and self‐efficacy significantly influenced their engagement with IDLE activities. In addition, the findings revealed that digital literacy was the strongest predictor of EFL learners' IDLE. These findings highlight the significance of digital literacy skills coupled with positive personality‐based and cognitive variables in forming learners' tendency to learning English in informal digital settings. The study implied that positive characteristics could enhance cognitive and psychological resources, leading to positive outcomes (ie, IDLE). Finally, implications were offered.
Practitioner notesWhat is already known about this topic

Gritty language learners with high self‐efficacy are more likely to master language skills inside and outside the classroom.
Digital literacy can increase learners' tendency to learn English through digital platforms.
What this paper adds

Digitally literate EFL learners with high levels of grit and self‐efficacy practise IDLE activities.
Digital literacy plays a more important role in IDLE compared to personality‐related and cognitive factors.
Implications for practice

EFL teachers are recommended to model using digital platforms for language learning in out‐of‐class digital settings.
EFL teachers can increase EFL learners' grit and self‐efficacy through interventions to enhance their engagement in IDLE‐embedded activities.
Prolonged ischaemia during partial nephrectomy: impact of warm vs cold
Authors: Kazama Akira , Munoz‐Lopez Carlos , Lewis Kieran , Attawettayanon Worapat , Rathi Nityam , Maina Eran , Campbell Rebecca A. , Wood Andrew , Lone Zaeem , Bartholomew Angelica , Kaouk Jihad , Haber Georges‐Pascal , Haywood Samuel , Almassi Nima , Weight Christopher , Li Jianbo , Campbell Steven C. 
Published: November 2024

ObjectiveTo evaluate the impact of prolonged ischaemia during partial nephrectomy (PN), which remains understudied despite its potential clinical relevance.Patients and MethodsOf 1371 patients managed with on‐clamp PN (2011–2014), 759 (55%) had imaging and assessment of serum creatinine levels before and after PN within the appropriate timeframes necessary for inclusion. This timeframe was chosen to allow for a robust analysis of both warm and cold ischaemia. Recovery from ischaemia (Recischaemia) was defined as ipsilateral glomerular filtration rate (GFR) preserved, normalized by percentage of parenchymal volume preserved (PPVP), and would be 100% if all nephrons recovered completely from ischaemia. Pearson correlation and multivariable linear regression models were used to assess associations between Recischaemia and ischaemia type and duration.ResultsOf 759 patients, 525 (69%) were managed with warm ischaemia. The median warm/cold ischaemia times were 22 and 30 min, respectively. Overall, the median percent ipsilateral GFR preserved, PPVP and Recischaemia were 79%, 83% and 96%, respectively. Segmented regression analysis demonstrated substantially greater decline in Recischaemia, beginning at approximately 30 min for warm ischaemia, which was not observed for hypothermia. Prolonged ischaemia (defined as >30 min) occurred in 197 patients (26%; 88 warm/109 cold). For limited ischaemia (≤30 min), hypothermia was often used for tumours with increased tumour size and complexity (P < 0.01), while for prolonged ischaemia, the warm/cold subgroups had similar patient and tumour characteristics. For limited ischaemia and prolonged hypothermia, median Recischaemia remained >95%, independent of ischaemia time. Differences in Recischaemia between the warm and cold cohorts became significant only after 30 min (P < 0.05). On multivariable analysis, prolonged warm ischaemia was associated with reduced Recischaemia (P = 0.02), which fell 3.9% for every additional 10 min beyond 30 min.ConclusionsOur data suggest that Recischaemia begins to decline significantly after 30 min during PN, although hypothermia was protective. Avoidance of prolonged warm ischaemia should be prioritized in patients with solitary kidneys and/or significant pre‐existing chronic kidney disease.
What Makes Non‐Directed Living Kidney Donors Tick? Actionable Items to Increase Non‐Directed Live Organ Donation
Authors: Wang Amy S. , McCune Kasi , Wiener Ilona , Runge Brian , Pasantes Daniela , Johnson Eric , Ratner Lloyd E. 
Published: November 2024

AbstractBackgroundNon‐directed donors (NDDs), individuals who donate their organs with no intended recipient, in the United States increased 90‐fold from 1999 to 2019. There is a paucity of studies investigating the motivations of NDDs. The objective of our study is to identify actionable items to increase NDDs.MethodsA survey of kidney NDDs at CUIMC from 2009 to 2021 was conducted. The survey was conducted via Qualtrics.ResultsSeventy individuals met the study criteria. Forty‐seven (67.1%) individuals completed the survey. A total of 98% of respondents reported participating in other altruistic activities prior to donation. A total of 70% donors identified as religious, and 57% reported religion/spirituality positively affected the decision to donate. The three most common factors that got respondents interested in NDD included: (1) hearing about an individual in need of a transplant, (2) knowing someone who had donated an organ, and (3) as a next step in altruistic behavior. A total of 85% said that donating a kidney met or exceeded expectations. A total of 44% and 31% of NDDs were interested in being either liver or uterus NDDs, respectively.ConclusionsWe identified six potential action items: (1) Identify pools of receptive individuals who participated in other altruistic behaviors and/or identify as religious. (2) Outreach to individuals who came forward as directed donors, but whose intended recipient was successfully transplanted with a kidney from another donor. (3) Promote stories of those who need organ transplants or whose lives have been changed by transplantation. (4) Promote NDDs as resources for potential NDDs. (5) Educate interested kidney NDDs about liver and uterus transplant programs. (6) Decrease financial barriers to donation.