bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human–artificial intellectual capital…beyond a fragmented perspective
Authors: Caputo Francesco 
Published: August 2024

PurposeHuman and artificial intelligence has often been examined through competitive and oppositional lenses, which may no longer suffice in modern digital and knowledge-based societies. This paper advocates for a holistic perspective by integrating human and artificial intelligence within the conceptual framework of intellectual capital (IC).Design/methodology/approachEmploying a deductive approach rooted in systems theory, this study reinterprets established dimensions of IC for the era of artificial intelligence.FindingsDrawing inspiration from the Information Variety Model and the 4C Curve Model, both developed within the research framework of the Viable Systems Approach, a conceptual framework is proposed to transcend fragmented perspectives. It aims to provide researchers and practitioners with a comprehensive understanding of human–artificial intelligence relations within the realm of IC.Originality/valueThis paper contributes to the ongoing discourse on the potential evolution of IC in the era of artificial intelligence by presenting a multidisciplinary framework that challenges reductionist perspectives. It underscores the importance of systems thinking in reframing, analyzing and discussing key dimensions of IC in the context of the artificial intelligence era.
How CEO transformational leadership promotes firm innovation: mediating role of collective task self-efficacy
Authors: Zhao Wenwen , Zhang Zhe 
Published: August 2024

PurposeInnovative capabilities are essential for the survival and development of an organization. Previous studies have found a positive relationship between CEO transformational leadership (CEOTFL) and firm innovation. However, limited studies have endeavored to investigate the relationship between CEOTFL and firm innovation through the cognition and attitudes of the ordinary employees, despite their significant role in corporate innovation. Existing TFL literature has predominantly concentrated on “the close relationships” between leaders and their immediate subordinates, leaving the remote influence of CEOTFL on ordinary employees under-researched. Therefore, the current study aims to explain the relationship between CEOTFL and firm innovation from a micro-level perspective.Design/methodology/approachMultilevel and multi-sourced data from 1,627 employees across 145 firms was used to test the hypotheses in this study.FindingsThe results indicate that CEOTFL can enhance firm innovation by enhancing the collective task self-efficacy of regular employees. Moreover, this effect is not observed when employees are exposed to a low level of work–life balance practices.Practical implicationsThe findings suggest that CEOs can perform increased TFL to promote firm innovation. It is recommended that CEOs demonstrate their TFL not only to their direct subordinates but also to regular employees using various methods, such as participating in corporate activities with employees, delivering public speeches and sending emails to employees. Meanwhile, the HRM system should consistently align with the CEO’s leadership approach within the organization.Social implicationsThis study strengthens the importance of ordinary employees and their contribution to firm innovation.Originality/valueThe present study contributes to the literature on the micro-foundations of the relationship between CEOTFL and firm innovation by considering ordinary employee reactions as a mediator. Furthermore, this study enriches the CEOTFL literature by investigating the distant influence of CEOTFL on rank-and-file employees through the lens of social cognitive theory. Additionally, the authors expand cue consistency theory to the realms of CEO leadership and HRM literature by integrating CEOTFL and work–life balance practices into a unified model. The findings reveal the importance of coordination between CEO leadership and HRM systems within an organization. The inclusion of Chinese sample data in this study augments the cultural diversity of the sample within the CEOTFL literature.
Combined effects of abusive supervision, willpower and waypower on employees’ task performance and helping behavior, through quality of work life
Authors: Haq Inam Ul , Raja Usman , Azeem Muhammad Umer , Bajwa Naeem 
Published: August 2024

PurposeExtending the efforts of previous scholars, this study examines how abusive supervision undermines employees’ ability to meet performance expectations and propensity to engage in helping behavior. Specifically, we investigate a hitherto unexplored mediating role of quality of work life (QWL) in this relationship. We further suggest that employees’ psychological resources, namely willpower and waypower, act as protective shields against this harmful process.Design/methodology/approachWe tested the proposed hypotheses using multisource (self- and supervisor-rated) three-wave time-lagged data (N = 185) collected from employees and their supervisors in eight organizations that operate in the service sector of Pakistan.FindingsThe findings corroborate our predicted hypotheses. The results indicate that employees' exposure to abusive supervision deteriorates their quality of work life (QWL), hindering their ability to deliver expected performance and tendency to help other colleagues. However, this negative process is less pronounced for employees who possess sufficient psychological resources of willpower and waypower.Practical implicationsThis study provides valuable insights to organizations by explicating the process that undermines employees’ ability to channel their energies into performance-enhancing activities when faced with humiliation from their supervisors.Originality/valueThis study details three previously unexplored factors that explain how and when abusive behavior steers service sector employees away from meeting performance expectations and assisting colleagues, via thwarting their quality of work life.
Digital information repackaging: best practices from university library website managers
Authors: Atmi Ragil Tri , Putri Cecinita Felia , Babbar Parveen 
Published: August 2024

Purpose
This paper aims to explore the digital information repackaging process from the perspective of library website operators. The digital info repackaging process consists of analysis, synthesis, editing and presenting.

Design/methodology/approach
Interviews with 17 library website operators regarding their experience in information repackaging. The library website observation also conducted to gather the data on information repackaging.

Findings
Librarians who manage library websites repackage digital information using a process of user analysis, content analysis, editing and transforming and translating. Librarians who are in charge of repackaging usually collect, check, group and present information based on the raw data and information. Librarians rarely did criticize or argue the information. They just deliver it in the pact and attractive format. In the future, librarians can add critical comments on their digital information content, such as give recommendation, provide point of view, add some suggestion or make comparison.

Practical implications
This paper can provide an overview of the process of repackaging digital information carried out by university libraries which can be provided by libraries via websites. Apart from that, it is hoped that the presence of this research can help librarians in carrying out the process of repackaging digital information.

Originality/value
This paper can add to the scientific development of information science and library studies related to the field of information repackaging, especially in the repackaging of digital information in creating website content to efficiently meet the information needs of university library users.
Integrating deep reinforcement learning and improved artificial potential field method for safe path planning for mobile robots
Authors: Tong Sijie , Liu Qingchen , Ma Qichao , Qin Jiahu 
Published: August 2024

Purpose
This paper aims to address the safety concerns of path-planning algorithms in dynamic obstacle warehouse environments. It proposes a method that uses improved artificial potential fields (IAPF) as expert knowledge for an improved deep deterministic policy gradient (IDDPG) and designs a hierarchical strategy for robots through obstacle detection methods.

Design/methodology/approach
The IAPF algorithm is used as the expert experience of reinforcement learning (RL) to reduce the useless exploration in the early stage of RL training. A strategy-switching mechanism is introduced during training to adapt to various scenarios and overcome challenges related to sparse rewards. Sensor inputs, including light detection and ranging data, are integrated to detect obstacles around waypoints, guiding the robot toward the target point.

Findings
Simulation experiments demonstrate that the integrated use of IDDPG and the IAPF method significantly enhances the safety and training efficiency of path planning for mobile robots.

Originality/value
This method enhances safety by applying safety domain judgment rules to improve APF’s security and designing an obstacle detection method for better danger anticipation. It also boosts training efficiency through using IAPF as expert experience for DDPG and the classification storage and sampling design for the RL experience pool. Additionally, adjustments to the actor network’s update frequency expedite convergence.
Dufour and Soret effects on MHD squeezed nanoliquid flow between parallel plates by differential transform method
Authors: Thangaraj Chandrapushpam , Sivanandam Sivasankaran , Marimuthu Bhuvaneswari 
Published: August 2024

Purpose
This paper aims to examine the Dufour and Soret combined effects on the study of two-dimensional squeezed flow of copper water nanofluid between parallel plates along with applied (external) magnetic field. Impact of higher order chemical reaction is also considered.

Design/methodology/approach
The nonlinear partial differential equations (PDEs) are changed into system of ordinary differential equations (ODEs) by employing suitable similarity transformations. These transformed ODEs are then solved by means of a semianalytical method called differential transform method (DTM). Effects of several changing physical parameters on fluid flow, temperature and concentration have been deliberated through graphs.

Findings
It is observed that Dufour and Soret numbers are directly related to temperature profile and a reverse trend was observed in the concentration profile. Temperature enhancement is perceived for the enhanced Dufour number. Enhancement in Dufour number shows a direct association with Sh and Nu for all values of squeezing parameter.

Practical implications
The combined Dufour and Soret effects are used in separation of isotopes in mixture of gases, oil reservoirs and binary alloys solidification. The squeeze nanoliquid flow can be used in the field of composite material joining, rheological testing and welding engineering.

Social implications
This study is mainly useful for geosciences and chemical engineering.

Originality/value
The uniqueness in this research is the study of the impact of cross diffusion on chemically reacting squeezed nanoliquid flow with the chemical reaction order more than one in the presence of applied magnetic force using a semianalytical procedure, named DTM.
Plant functional types and tissue stoichiometry explain nutrient transfer in common arbuscular mycorrhizal networks of temperate grasslands
Authors: Dawson Hilary Rose , Shek Katherine L. , Maxwell Toby M. , Reed Paul B. , Bomfim Barbara , Bridgham Scott D. , Bohannan Brendan J. M. , Silva Lucas C. R. 
Published: August 2024

Abstract

Plants and mycorrhizal fungi form mutualistic relationships that affect how resources flow between organisms and within ecosystems. Common mycorrhizal networks (CMNs) could facilitate preferential transfer of carbon and limiting nutrients, but this remains difficult to predict. Do CMNs favour fungal resource acquisition at the expense of plant resource demands (a fungi‐centric view), or are they passive channels through which plants regulate resource fluxes (a plant‐centric view)?
We used stable isotope tracers (13CO2 and 15NH3), plant traits, and mycorrhizal DNA to quantify above‐ and below‐ground carbon and nitrogen transfer between 18 plant species along a 520‐km latitudinal gradient in the Pacific Northwest, USA.
Plant functional type and tissue stoichiometry were the most important predictors of interspecific resource transfer. Of ‘donor’ plants, 98% were 13C‐enriched, but we detected transfer in only 2% of ‘receiver’ plants. However, all donors were 15N‐enriched and we detected transfer in 81% of receivers. Nitrogen was preferentially transferred to annuals (0.26 ± 0.50 mg N per g leaf mass) compared with perennials (0.13 ± 0.30 mg N per g leaf mass). This corresponded with tissue stoichiometry differences.
Synthesis Our findings suggest that plants and fungi that are located closer together in space and with stronger demand for resources over time are more likely to receive larger amounts of those limiting resources.

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Research on the castor oil pressing extraction mechanism based on multi‐physics coupling simulation
Authors: Shu Can , Yang Liu , Xu Zilong , Wu Junfeng , Chen Huan , Cui Bo , Wang Zhicheng , Xiao Xuan , Song Shaoyun , Zhang Yonglin 
Published: August 2024

AbstractCastor oil has been widely used in various fields due to its properties, leading to large attention for its extraction mechanism. To research the castor oil extraction mechanism during pressing, a self‐developed uniaxial compression device combined with an in situ observation is established. The effects of pressure, loading speed, and creep time are investigated, and a finite element model coupling with multi‐physics is established for castor oil pressing extraction, verified by the seed cake experimental compression strain matching with numerical simulation under the same condition. Simulation results indicated that the pressing oil extraction process can be divided into two stages, Darcy's speed shows the first sharp decreasing stage and the second gradual increasing stage during porosity and pressure interaction. In the first stage, porosity is dominant on Darcy's speed. With porosity decreasing, the pressure effect on Darcy's speed exceeds porosity in the second stage. With seed thickness increasing, Darcy's speed first increases and then decreases. With loading speed increasing, Darcy's speed increases. Darcy's speed decreases constantly with creep time increasing. This study can provide basic theoretical and practical guidance for oil extraction.
The politics of accountability in global sustainable commodity governance: Dilemmas of institutional competition and convergence
Authors: Macdonald Kate , Bahruddin  , Hartoto Annisa Sabrina , Unger Carla , Cisneros Paul , Pugley Deborah Delgado , Herreras Salazar Damaris , Winanti Poppy Sulistyaning , Kurniawan Nanang Indra 
Published: August 2024

AbstractThe accountability of market‐driven sustainability governance has long been controversial, reflecting the deeply political processes through which accountability contests shape governance transformations. Drawing on illustrative examples from internationally traded agro‐commodity sectors in the critical case of Indonesia, this paper examines the contested processes of accountability that have accompanied a recent period of institutional change in sustainability governance. Amidst rising critiques of global certification, there has been a parallel expansion of governance approaches that prioritise capability development over regulatory enforcement and engage more intensively with governments in commodity‐producing countries. As alternative governance models gain influence, tensions between competing governance stakeholders and agendas are mirrored and amplified through parallel accountability contests, in which distributional conflicts between global and local stakeholders are intensified by pressures to adopt contentious systems of compliance verification. While accountability gaps associated with contrasting institutional models produce strong pressures for partial institutional convergence, such convergence coexists with new forms of institutional fragmentation, as competition between global and national certification expands to encompass competition with localised capacity‐building and jurisdictional approaches. Analysis highlights the often‐neglected role of accountability politics in shaping institutional change, while raising pressing questions about the distributional implications of contemporary shifts away from global certification governance models.
Relationship between the combination of platelet count and neutrophil‐lymphocyte ratio and prognosis of patients with advanced non‐small cell lung cancer treated with immune checkpoint inhibitors plus chemotherapy: A retrospective cohort study
Authors: Kashimura Saeko , Sato Miki , Inagaki Takahito , Kin Masaoki , Manabe Ryo , Kusumoto Sojiro , Horiike Atsushi , Tsunoda Takuya , Kogo Mari 
Published: August 2024

AbstractBackgroundThe relationship between the combination of platelet count and neutrophil‐lymphocyte ratio (COP‐NLR) and prognosis in patients with advanced non‐small cell lung cancer (NSCLC) treated with immune checkpoint inhibitor (ICI) combination therapy with chemotherapy remains unclear. Thus, we investigated prognostic factors, including the COP‐NLR, to identify patients who could benefit from the therapeutic efficacy of ICI combination therapy for advanced NSCLC. Furthermore, we evaluated the relationship between the COP‐NLR score during ICI combination therapy and treatment response.MethodsWe conducted a retrospective cohort study of 88 patients with NSCLC who initially received ICI combination therapy. The primary outcome was overall survival (OS). The prognostic factors were extracted using the Cox proportional hazards model. The relationship between COP‐NLR score at 3 weeks after starting ICI combination therapy and a good response (complete response [CR] and partial response [PR]) to treatment was analyzed using the chi‐square test.ResultsThe median OS was 15.7 months. In the multivariable analysis, Eastern Cooperative Oncology Group Performance Status (ECOG PS) 2, distant metastatic sites ≥2, and baseline COP‐NLR scores of 1, 2 were extracted as significant poor prognostic factors. The proportion of patients with CR and PR in the 3‐week COP‐NLR score of 0 group was significantly higher than that in scores of 1, 2 group.ConclusionsBaseline COP‐NLR, ECOG PS, and number of distant metastatic sites were prognostic factors in patients with NSCLC with ICI combination therapy. A lower 3‐week COP‐NLR was associated with a good response to treatment.
No value of non‐selective beta‐blockers after TIPS‐insertion
Authors: Tiede Anja , Stockhoff Lena , Rieland Hannah , Liu Zhaoli , Mauz Jim B. , Tergast Tammo L. , Kabelitz Martin A. , Schütte Sarah S. , Ehrenbauer Alena F. , Meyer Bernhard C. , Wedemeyer Heiner , Hinrichs Jan B. , Cornberg Markus , Falk Christine S. , Xu Cheng‐Jian , Maasoumy Benjamin 
Published: August 2024

SummaryBackground and AimsNon‐selective beta‐blockers (NSBB) are a well‐established treatment in patients with clinically significant portal hypertension. However, their potential role after insertion of a transjugular intrahepatic portosystemic shunt (TIPS) still needs to be determined. Of note, recent studies suggested that favourable anti‐inflammatory effects of NSBB might be independent from pressure reduction. This study aimed to evaluate whether NSBB‐treatment is associated with amelioration of systemic inflammation (SI), hepatic decompensation and survival after TIPS‐insertion.MethodsIn a retrospective study comprising 305 consecutive patients, we investigated the impact of NSBB‐intake at TIPS‐placement on periinterventional cirrhosis‐associated complications and continued NSBB‐treatment after discharge on complications including hepatic decompensation and mortality during 1‐year follow‐up, employing multivariable competing‐risk‐analyses. In a prospective cohort including 45 patients, we performed a comprehensive analysis of SI analysing 48 soluble inflammatory markers (SIMs) at baseline plus 3 and 6 months after TIPS‐insertion.ResultsOverall, 175 (57.4%) patients received NSBB‐therapy prior to TIPS‐insertion; upon discharge, this decreased to 131 (22.9%), with 36 (27.5%) discontinuing NSBB within 1‐year follow‐up. Neither NSBB‐therapy at TIPS‐insertion nor treatment‐continuation after discharge were associated with lower risks for hepatic decompensation, individual cirrhosis‐associated complications or mortality neither in the periinterventional period nor during follow‐up. Similarly, in the prospective cohort NSBB‐intake was not linked to lower levels or a more prominent change of WBC, CRP or any other SIM at any of the investigated time points.ConclusionNSBB‐therapy at the time of TIPS‐insertion and its (dis‐)continuation afterwards seems to have no significant impact on SI, development of hepatic decompensation and survival.
Performance of the ChatGPT large language model for decision support in community pharmacy
Authors: Shin Euibeom , Hartman Maggie , Ramanathan Murali 
Published: August 2024

AbstractAimsThe aim of this study was to assess the ChatGPT‐4 (ChatGPT) large language model (LLM) on tasks relevant to community pharmacy.MethodsChatGPT was assessed with community pharmacy‐relevant test cases involving drug information retrieval, identifying labelling errors, prescription interpretation, decision‐making under uncertainty and multidisciplinary consults. Drug information on rituximab, warfarin, and St. John's wort was queried. The decision‐support scenarios consisted of a subject with swollen eyelids and a maculopapular rash in a subject on lisinopril and ferrous sulfate. The multidisciplinary scenarios required the integration of medication management with recommendations for healthy eating and physical activity/exercise.ResultsThe responses from ChatGPT for rituximab, warfarin, and St. John's wort were satisfactory and cited drug databases and drug‐specific monographs. ChatGPT identified labeling errors related to incorrect medication strength, form, route of administration, unit conversion, and directions. For the patient with inflamed eyelids, the course of action developed by ChatGPT was comparable to the pharmacist's approach. For the patient with the maculopapular rash, both the pharmacist and ChatGPT placed a drug reaction to either lisinopril or ferrous sulfate at the top of the differential. ChatGPT provided customized vaccination requirements for travel to Brazil, guidance on management of drug allergies and recovery from a knee injury. ChatGPT provided satisfactory medication management and wellness information for a diabetic on metformin and semaglutide.ConclusionsLLMs have the potential to become a powerful tool in community pharmacy. However, rigorous validation studies across diverse pharmacist queries, drug classes and populations, and engineering to secure patient privacy will be needed to enhance LLM utility.