bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supply chain carbon transparency to consumers via blockchain: does the truth hurt?
Authors: Zhu Qingyun , Duan Yanji , Sarkis Joseph 
Published: November 2023

PurposeThe purpose of this study is to determine if blockchain-supported carbon offset information provision and shipping options with different cost and environmental footprint implications impact consumer perceptions toward retailers and logistics service providers. Blockchain and carbon neutrality, each can be expensive to adopt and complex to manage, thus getting the “truth” on decarbonization may require additional costs for consumers.Design/methodology/approachExperimental modeling is used to address these critical and emergent issues that influence practices across a set of supply chain actors. Three hypotheses relating to the relationship between blockchain-supported carbon offset information and consumer perceptions and intentions associated with the product and supply chain actors are investigated.FindingsThe results show that consumer confidence increases when supply chain carbon offset information has greater reliability, transparency and traceability as supported by blockchain technology. The authors also find that consumers who are provided visibility into various shipping options and the product's journey carbon emissions and offset – from a blockchain-supported system – they are more willing to pay a premium for both the product and shipping options. Blockchain-supported decarbonization information disclosure in the supply chain can lead to organizational legitimacy and financial gains in return.Originality/valueUnderstanding consumer action and sustainable consumption is critical for organizations seeking carbon neutrality. Currently, the literature on this understanding from a consumer information provision is not well understood, especially with respect to blockchain-supported information transparency, visibility and reliability. Much of the blockchain literature focuses on the upstream. This study focuses more on consumer-level and downstream supply chain blockchain implications for organizations. The study provides a practical roadmap for considering levels of blockchain information activity and consumer interaction.
Robots addressing agricultural labour shortages and environmental issues
Authors: Bogue Robert 
Published: November 2023

Purpose
The purpose of this paper is to provide details of recent developments in agricultural robots with an emphasis of those that address labour shortages and environmental issues.

Design/methodology/approach
Following an introduction which highlights some of the challenges facing the agricultural industry, this discusses recent robotic agricultural vehicle developments and the enabling technologies. It then provides examples of terrestrial and airborne robots employed in precision agricultural practices. Finally, brief conclusions are drawn.

Findings
Traditional, labour-intensive and environmentally harmful agricultural practices are not sustainable in the long term, and if food supply is to meet future demand, radical changes will be required. Exploiting recent advances in artificial intelligence (AI), agricultural equipment manufacturers are developing robotic vehicles in response to labour shortages. Precision agricultural practices will mitigate many of the detrimental environmental impacts and can also reduce the reliance on manpower. Weeding robots which reduce or eliminate the use of herbicides have been commercialised by a growing number of companies and again exploit AI techniques. Drones equipped with imaging device are playing an increasingly important role by characterising agricultural and crop conditions, thereby allowing highly targeted agrochemical application.

Originality/value
This illustrates how the agricultural industry is adopting robotic technology in response to the need to increased productivity while mitigating the problems of shortages of labour and environmental degradation.
State ownership, managerial myopia and corporate green transition: evidence from listed companies in China
Authors: Chen Qi-an , Bao Anze 
Published: November 2023

Purpose
Green transition is a long-term direction of corporate development that can achieve sustainable corporate development. This study aims to investigate whether state ownership promotes corporate green transition by mitigating managerial myopia and the impact of environmental regulations, internal controls and ownership on this pathway.

Design/methodology/approach
Using data from 2,608 Chinese listed companies for 2010–2019, the authors investigate the relationship between state ownership, managerial myopia and corporate green transition by using fixed-effects and moderated mediation models.

Findings
State ownership can boost green transitions and alleviate managerial myopia. Managerial myopia mediates the relationship between state ownership and corporate green transition. Furthermore, environmental regulations, internal controls and ownership moderate the mediating effects of managerial myopia.

Originality/value
The authors construct a multidimensional green transition index to examine the influence of state ownership on corporate green transition behavior and reveal the underlying mechanism by which state ownership promotes green transition by “mitigating managerial myopia.” This study enriches the literature on state ownership, management myopia and green transition and provides important evidence for the promotion of mixed ownership reforms.
Brokerage performance drivers amongst married working women in an emerging real estate market
Authors: Obi-Aso Nkiruka Evangeline , Ewurum Nonso Izuchukwu , Ewurum Ijeoma Clara 
Published: November 2023

PurposeA perusal of extant literature suggests asymmetric devotions in empirical research that overlooks unique social and industrial dynamics of married working women in highly competitive male-dominated industries. Drawing on the social role theory, the study addressed this asymmetry by proposing a multivariate regression model that examined performance drivers of married female real estate brokers, as mediated by organizational, cognitive and social influences.Design/methodology/approachThe study employed a descriptive design. A structured electronic questionnaire was used to collect data from a sample of 256 married female brokers who are active on online messaging platforms. Snowball sampling was used to reach the research participants. Collected data were subjected to multivariate regression analysis.FindingsThe results infer that social influences were the most significant drivers of married female brokers in the real estate industry (r = 0.932, p < 0.05, F = 556.581). Significant interventions of diversity management, work-life balance, family support and access to economic opportunities were found.Practical implicationsIn acknowledging the societal stereotype and culturally imposed burdens married women face in emerging economies, the study advanced theoretical, practical and policy initiatives for a more inclusive, supportive and learning-oriented work environment.Originality/valueThe novelty of the paper lies in its exposition of the unregulated real estate brokerage market in an emerging economy and the dynamic organizational, cognitive and societal influences of married female brokers.
Is agricultural production detrimental to Greece's ecological sustainability? Evidence from the dynamic ARDL simulations and bootstrap causality analysis
Authors: Karasoy Alper 
Published: November 2023

AbstractAgricultural production (AP) can play a prominent role in establishing food security. However, AP has an innate relationship with nature's demand and supply sides. Furthermore, unsustainable AP can harm a country's ecological sustainability by increasing the ecological deficit (i.e., the disparity between ecological footprint and biocapacity). In that respect, this research econometrically examines the AP–ecological deficit link in Greece for the 1965–2018 period. The following findings are revealed in this study. First, the ecological deficit and AP in Greece have a cointegrating relationship. Second, besides energy use and income, AP significantly contributes to Greece's ecological deficit in the long run. Third, the dynamic autoregressive distributed lag simulations show that the short run effect of a positive (negative) shock in AP on Greece's ecological deficit is insignificant. However, in the long run, the impact of a positive (negative) shock in AP gradually becomes significant and intensifies (decreases) the ecological deficit in Greece. Last, the bootstrap causality test with the Fourier approximation generally confirms these findings, revealing that unidirectional causality runs from AP to the ecological deficit. These results indicate that unless sustainability measures are strictly followed in the energy and agricultural sectors, AP could continue undermining Greece's long‐run ecological sustainability.
Changes in the prevalence of diabetes and control of risk factors for diabetes among Chinese adults from 2007 to 2017: An analysis of repeated national cross‐sectional surveys
Authors: Jin Chenye , Lai Yaxin , Li Yongze , Teng Di , Yang Wenying , Teng Weiping , Shan Zhongyan ,   For the China National Diabetes and Metabolic Disorders Study Group and the Thyroid Disorders, Iodine Status and Diabetes Epidemiological Survey Group
Published: November 2023

AbstractIntroductionTo examine changes in the prevalence of diabetes and the control of risk factors for diabetes over 10 years among adults in China.MethodsTwo population‐based cross‐sectional surveys were used to obtain a nationally representative sample of adults aged 20 years and older in mainland China in 2007 (n = 46 239) and 2017 (n = 73 340). Changes in the prevalence of diabetes, impaired fasting glucose, impaired glucose tolerance, and prediabetes, as diagnosed by the World Health Organization criteria, were assessed over time.ResultsThe weighted prevalence of diagnosed diabetes (3.8% vs 6.3%, p = .0001) and total diabetes (9.7% vs 11.7%, p = .005) increased among the overall population between 2007 and 2017. The weighted prevalence of undiagnosed diabetes (5.9% vs 5.4%, p = .7), impaired fasting glucose (2.7% vs 2.6%, p = .68), impaired glucose tolerance (12.7% vs 12.5%, p = .95), prediabetes (15.4% vs 15.1%, p = .79), the treatment of diabetes (34.1% vs 32.5%, p = .44), and the control of diabetes (31.1% vs 32.8%, p = .73) did not significantly change over this period. The awareness of diabetes (39.4% vs 53.6%, p = .0004) increased over 10 years among the overall population. The proportion of achieved high‐density lipoprotein cholesterol targets increased (p = .005), but the proportion of achieved body mass index (p = .01) and waist circumference (p = .0002) targets decreased significantly.ConclusionsBetween 2007 and 2017, the prevalence of total diabetes (diagnosed by the World Health Organization criteria), especially diagnosed diabetes, increased among adults in China. Although awareness of diabetes improved, effective interventions and clinical strategies are urgently required.
Treatment of locally advanced and metastatic basosquamous carcinoma, navigating among sonic hedgehog pathway inhibitors, immune checkpoint inhibitors, chemotherapy, and radiotherapy: A case series and literature review
Authors: Zelin Enrico , Mazzoletti Vanessa , Cavallo Francesco , Nardello Carlotta , Corio Andrea , Toffoli Ludovica , Tagliaferri Luca , Conforti Claudio , Di Meo Nicola , Zalaudek Iris 
Published: November 2023

AbstractLocally advanced (laBSCs) and metastatic basosquamous carcinomas (mBSCs) represent a therapeutic challenge. By definition, these forms are not amenable to surgery or radiotherapy, but according to literature reports, sonic hedgehog pathway inhibitors (HHIs), anti‐programmed death 1 receptor antibodies (anti‐PD‐1), and other treatment approaches involving chemotherapy, surgery, and radiotherapy have been used. This work features 5 real‐life cases of advanced BSCs, treated at the Dermato‐Oncology Unit of Trieste (Maggiore Hospital, University of Trieste). In addition, a review of the current treatment options reported in the literature for laBSC and mBSC is provided, collecting a total of 17 patients. According to these preliminary data, HHIs such as sonidegib and vismodegib could represent a safe and effective first line of treatment, while the anti‐PD‐1 cemiplimab may be useful as a second‐line option. Chemotherapy and combined approaches involving surgery and radiotherapy have been also reported to be suitable in some patients.
Combination oral antifungal therapy for paediatric fungal infection: An option to improve efficacy and overcome clinical resistance
Authors: Punchihewa Nisal , Orchard David 
Published: November 2023

AbstractThere is increasing evidence of clinically resistant cutaneous fungal infections. The use of combination oral antifungals is described in adults but not in paediatric patients. We present seven paediatric cases of clinically resistant fungal infections treated successfully with combination oral antifungal therapy after inadequate response to a single agent.
Clinical trial: predictive factors for response to gut‐directed hypnotherapy for refractory irritable bowel syndrome, a post hoc analysis
Authors: Devenney Jade , Hasan Syed S. , Morris Julie , Whorwell Peter J. , Vasant Dipesh H. 
Published: November 2023

SummaryBackgroundGut‐directed hypnotherapy is effective for patients with irritable bowel syndrome (IBS). Despite its considerable evidence base, gut‐directed hypnotherapy is not widely available and remains a limited resource. This emphasises the need to select patients who are most likely to benefit.AimTo determine whether baseline patient characteristics were predictive of response to gut‐directed hypnotherapy in patients with IBSMethodsWe conducted a secondary analysis of outcomes of 448 patients with refractory Rome III IBS who participated in a randomised study confirming non‐inferiority of 6 compared to 12 sessions of gut‐directed hypnotherapy. We compared baseline patient characteristics, including age, sex, IBS subtype, quality of life and IBS‐Symptom Severity Scale (IBS‐SSS), non‐colonic symptom score and Hospital Anxiety and Depression (HAD) score between responders and non‐responders. We defined response as ≥50‐point decrease in IBS‐SSS or ≥30% reduction in pain severity scores.ResultsOverall, 76.3% achieved ≥50‐point decrease in IBS‐SSS. Responders had a higher baseline non‐colonic symptom score (p = 0.005). Those who achieved ≥30% improvement in abdominal pain scores (59.8%) had higher baseline IBS‐SSS (p = 0.03), and lower baseline HAD‐depression score (p = 0.012). Fifty‐four patients (12%) dropped out of gut‐directed hypnotherapy. Compared to completers, dropouts had higher baseline HAD‐anxiety score (p = 0.034).ConclusionsThese data suggest that patients with a higher burden of gastrointestinal and extraintestinal symptoms are most likely to benefit from gut‐specific behavioural intervention for refractory IBS. Clinical assessment of gastrointestinal, somatic and psychological symptom profiles may play a role in selecting patients for gut‐directed hypnotherapy.
Model‐informed dose selection for an investigational human epidermal growth factor receptor 2 antibody–drug conjugate FS‐1502 in patients with human epidermal growth factor receptor 2‐expressing advanced malignant solid tumours
Authors: Sun Yi , Li Chao , Wang Xingli , Zheng Yi , Wu Zhuli , Hui Ai‐Min , Diao Lei 
Published: November 2023

AimsThe dose‐escalation phase (phase Ia study) of a novel human epidermal growth factor receptor 2 (HER2) antibody–drug conjugate (ADC) FS‐1502 included a dose range from 0.1 to 3.5 mg/kg in HER2‐expressing advanced malignant solid tumours. However, the defined maximum tolerated dose was not reached. This model‐informed approach integrated population pharmacokinetic (PopPK) modelling and exposure–response (E‐R) analysis to facilitate dose selection for phase II.MethodsThe PopPK model was constructed using PK data from 109 Chinese patients who received doses of 0.1–3.5 mg/kg FS‐1502 every 3 (Q3W) or 4 weeks during a phase I dose‐escalation and dose expansion trial. The structural model consisted of compartment models for FS‐1502 and unconjugated monomethyl auristatin F. E‐R was explored for the percentage change in tumour size, overall response rate and treatment‐related adverse events.ResultsA semi‐mechanistic 2‐analyte PopPK model was developed. The FS‐1502 PK data were best described by a 2‐compartment PK model with parallel linear and nonlinear Michaelis–Menten eliminations. The PK of unconjugated monomethyl auristatin F was described by a 2‐compartment model with first‐order elimination. E‐R analysis supported the clinically meaningful efficacy of FS‐1502 at 2.3 mg/kg and above. However, 2.3 mg/kg Q3W was considered to have a better benefit–risk balance due to a lower incidence of safety events without a significant reduction in efficacy compared to 3.0 mg/kg Q3W.ConclusionThis PopPK and E‐R analysis guided the recommended phase II dose selection of 2.3 mg/kg Q3W and supported body weight‐based dosing for an investigational HER2 ADC FS‐1502.
Identification of arnicolide C as a novel chemosensitizer to suppress mTOR/E2F1/FANCD2 axis in non‐small cell lung cancer
Authors: Chen Yu‐Fei , Pang Yan‐Chun , Wang Han‐Chen , Wu Pei‐En , Chen Zi‐Jie , Huang Da , Peng Dong‐Ling , Yan Yong‐Ming , Liu Changhui , Wu Li‐Chuan , Fan Xiang‐Zhen , Cheng Yong‐Xian , Liu Yong‐Qiang 
Published: November 2023

AbstractBackground and PurposeThe mammalian target of rapamycin (mTOR) pathway plays critical roles in intrinsic chemoresistance by regulating Fanconi anaemia complementation group D2 (FANCD2) expression. However, the mechanisms by which mTOR regulates FANCD2 expression and related inhibitors are not clearly elucidated. Extracts of Centipeda minima (C. minima) showed promising chemosensitizing effects by inhibiting FANCD2 activity. Here, we have aimed to identify the bioactive chemosensitizer in C. minima extracts and elucidate its underlying mechanism.Experimental ApproachThe chemosensitizing effects of arnicolide C (ArC), a bioactive compound in C. minima, on non‐small cell lung cancer (NSCLC) were investigated using immunoblotting, immunofluorescence, flow cytometry, the comet assay, small interfering RNA (siRNA) transfection and animal models. The online SynergyFinder software was used to determine the synergistic effects of ArC and chemotherapeutic drugs on NSCLC cells.Key ResultsArC had synergistic cytotoxic effects with DNA cross‐linking drugs such as cisplatin and mitomycin C in NSCLC cells. ArC treatment markedly decreased FANCD2 expression in NSCLC cells, thus attenuating cisplatin‐induced FANCD2 nuclear foci formation, leading to DNA damage and apoptosis. ArC inhibited the mTOR pathway and attenuated mTOR‐mediated expression of E2F1, a critical transcription factor of FANCD2. Co‐administration of ArC and cisplatin exerted synergistic anticancer effects in the A549 xenograft mouse model by suppressing mTOR/FANCD2 signalling in tumour tissues.Conclusion and ImplicationsArC suppressed DNA cross‐linking drug‐induced DNA damage response by inhibiting the mTOR/E2F1/FANCD2 signalling axis, serving as a chemosensitizing agent. This provides insight into the anticancer mechanisms of ArC and offers a potential combinatorial anticancer therapeutic strategy.
D‐Cloth: Skinning‐based Cloth Dynamic Prediction with a Three‐stage Network
Authors: Li Y. D. , Tang M. , Chen X. R. , Yang Y. , Tong R. F. , An B. L. , Yang S. C. , Li Y. , Kou Q. L. 
Published: November 2023

AbstractWe propose a three‐stage network that utilizes a skinning‐based model to accurately predict dynamic cloth deformation. Our approach decomposes cloth deformation into three distinct components: static, coarse dynamic, and wrinkle dynamic components. To capture these components, we train our three‐stage network accordingly. In the first stage, the static component is predicted by constructing a static skinning model that incorporates learned joint increments and skinning weight increments. Then, in the second stage, the coarse dynamic component is added to the static skinning model by incorporating serialized skeleton information. Finally, in the third stage, the mesh sequence stage refines the prediction by incorporating the wrinkle dynamic component using serialized mesh information. We have implemented our network and used it in a Unity game scene, enabling real‐time prediction of cloth dynamics. Our implementation achieves impressive prediction speeds of approximately 3.65ms using an NVIDIA GeForce RTX 3090 GPU and 9.66ms on an Intel i7‐7700 CPU. Compared to SOTA methods, our network excels in accurately capturing fine dynamic cloth deformations.
Precomputed Radiative Heat Transport for Efficient Thermal Simulation
Authors: Freude C. , Hahn D. , Rist F. , Lipp L. , Wimmer M. 
Published: November 2023

AbstractArchitectural design and urban planning are complex design tasks. Predicting the thermal impact of design choices at interactive rates enhances the ability of designers to improve energy efficiency and avoid problematic heat islands while maintaining design quality. We show how to use and adapt methods from computer graphics to efficiently simulate heat transfer via thermal radiation, thereby improving user guidance in the early design phase of large‐scale construction projects and helping to increase energy efficiency and outdoor comfort. Our method combines a hardware‐accelerated photon tracing approach with a carefully selected finite element discretization, inspired by precomputed radiance transfer. This combination allows us to precompute a radiative transport operator, which we then use to rapidly solve either steady‐state or transient heat transport throughout the entire scene. Our formulation integrates time‐dependent solar irradiation data without requiring changes in the transport operator, allowing us to quickly analyze many different scenarios such as common weather patterns, monthly or yearly averages, or transient simulations spanning multiple days or weeks. We show how our approach can be used for interactive design workflows such as city planning via fast feedback in the early design phase.
Multi‐scale Iterative Model‐guided Unfolding Network for NLOS Reconstruction
Authors: Su X. , Hong Y. , Ye J. , Xu F. , Yuan X. 
Published: November 2023

AbstractNon‐line‐of‐sight (NLOS) imaging can reconstruct hidden objects by analyzing diffuse reflection of relay surfaces, and is potentially used in autonomous driving, medical imaging and national defense. Despite the challenges of low signal‐to‐noise ratio (SNR) and ill‐conditioned problem, NLOS imaging has developed rapidly in recent years. While deep neural networks have achieved impressive success in NLOS imaging, most of them lack flexibility when dealing with multiple spatial‐temporal resolution and multi‐scene images in practical applications. To bridge the gap between learning methods and physical priors, we present a novel end‐to‐end Multi‐scale Iterative Model‐guided Unfolding (MIMU), with superior performance and strong flexibility. Furthermore, we overcome the lack of real training data with a general architecture that can be trained in simulation. Unlike existing encoder‐decoder architectures and generative adversarial networks, the proposed method allows for only one trained model adaptive for various dimensions, such as various sampling time resolution, various spatial resolution and multiple channels for colorful scenes. Simulation and real‐data experiments verify that the proposed method achieves better reconstruction results both in quality and quantity than existing methods.