bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hindustan Petroleum Corporation Limited: the sustainability saga for delivering happiness
Authors: Rath Chetna , Tripathy Asit 
Published: January 2024

Research methodology
The case was devised using secondary sources of data collection from annual reports, sustainability reports and the Hindustan Petroleum Corporation Limited (HPCL) website. These documents provided insights into the HPCL’s sustainability initiatives, financial performance and disclosure practices. Other data were obtained through the websites of the relevant businesses/sectors.

Case overview/synopsis
In March 2022, Pushp Kumar Joshi, chairman and managing director of HPCL, contemplates the oil giant’s sustainability strategy amid challenges. Despite a 38% revenue increase in financial year 2021–2022, profits dropped because of reduced refinery capacity. HPCL, a major player in India’s oil and gas industry, recognized the need to align with climate goals and changing consumer expectations. Joshi emphasized stakeholder engagement, carbon mitigation, technology adoption and transparent environmental, social and governance (ESG) reporting. A materiality assessment highlighted key issues like gender diversity, air quality and the low-carbon transition. Joshi grapples with balancing profitability and sustainability amid stakeholder pressure and market fluctuations, seeking advice from the sustainability team for the future.

Complexity academic level
This can potentially be a case study for a business management course, particularly focusing on sustainability, corporate social responsibility and strategic decision-making. It could be used at both the undergraduate and graduate levels in courses related to business administration, sustainability management, corporate strategy, environmental management or stakeholder engagement. The case could be analyzed to discuss the challenges and opportunities faced by a company like HPCL in balancing profitability and sustainability, developing effective sustainability strategies, integrating ESG considerations and managing stakeholder expectations.

Supplementary material
Teaching notes are available for educators only.
An analysis of green lean six sigma deployment in MSMEs: a systematic literature review and conceptual implementation framework
Authors: Mohan Jag , Kaswan Mahender Singh , Rathi Rajeev 
Published: January 2024

PurposeGreen Lean Six Sigma (GLSS) is a comprehensive approach that aims to reduce waste, emissions and non-value added activities, thus mark an effective impact on sustainability of firms. Despite the numerous benefits of GLSS implementation, it is evident that Micro Small and Medium Enterprises (MSMEs) are still struggling to understand, integrate and implement this strategy. This research work provides a comprehensive analysis of GLSS within MSMEs and proposes a conceptual integration framework of GLSS for improving economic and environmental dimensions of sustainability MSMEs.Design/methodology/approachA systematic literature review (SLR) methodology was planned to assess and analyse the research articles from 2007 to 2022. Different key elements of GLSS such as barriers, enablers and tool sets have been thoroughly reviewed and analysed for MSME organisations to understand their behaviour and effectively adopt the GLSS approach in their operations.FindingsThis study provides the analysis of different perspectives of GLSS and this will contribute to improve different metrics related to emissions and quality in MSMEs. It provides MSMEs industrial managers with a comprehensive knowledge base of GLSS elements, enabling effective deployment.Practical implicationsThe present study provides a significant knowledge base and know-how of GLSS to researchers that will assist in deploying this sustainable approach in different industrial domains. The study also assists industrial managers by providing a systematic framework of GLSS for MSMEs. Further, the study also supports society by proving pathway to improve the environmental dynamics through the execution GLSS.Originality/valueThe study is of the first kind that review different facets of GLSS related to MSME. The study not only enhances theoretical know how of GLSS but also guides practitioners how to implement comprehensive GLSS program for improved environmental sustainability.
Adrenalectomy attenuates hyperalgesia but does not regulate muscle wasting in a female rat model of fibromyalgia
Authors: Costa Daniely Messias , da Silva Raquel Prado , da Cruz‐Filho João , de Oliveira Santos Tatiane , dos Anjos‐Santos Hevely Catharine , de Lucca Jr Waldecy , do Carmo Kettelhut Ísis , Navegantes Luiz Carlos , de Souza Patrícia Rodrigues Marques , Camargo Enilton Aparecido , Lauton‐Santos Sandra , Badauê‐Passos Jr Daniel , Mecawi André Souza , DeSantana Josimari Melo , Lustrino Danilo 
Published: January 2024

AbstractAlthough it is well established that fibromyalgia (FM) syndrome is characterized by chronic diffuse musculoskeletal hyperalgesia, very little is known about the effect of this pathology on muscle tissue plasticity. Therefore, the present study aimed to characterize the putative alterations in skeletal muscle mass in female rats subjected to a FM model by inducing chronic diffuse hyperalgesia (CDH) through double injections of acidic saline (pH 4.0) into the left gastrocnemius muscle at 5‐day intervals. To determine protein turnover, the total proteolysis, proteolytic system activities and protein synthesis were evaluated in oxidative soleus muscles of pH 7.2 (control) and pH 4.0 groups at 7 days after CDH induction. All animals underwent behavioural analyses of mechanical hyperalgesia, strength and motor performance. Our results demonstrated that, in addition to hyperalgesia, rats injected with acidic saline exhibited skeletal muscle loss, as evidenced by a decrease in the soleus fibre cross‐sectional area. This muscle loss was associated with increased proteasomal proteolysis and expression of the atrophy‐related gene (muscle RING‐finger protein‐1), as well as reduced protein synthesis and decreased protein kinase B/S6 pathway activity. Although the plasma corticosterone concentration did not differ between the control and pH 4.0 groups, the removal of the adrenal glands attenuated hyperalgesia, but it did not prevent the increase in muscle protein loss in acidic saline‐injected animals. The data suggests that the stress‐related hypothalamic–pituitary–adrenal axis is involved in the development of hyperalgesia, but is not responsible for muscle atrophy observed in the FM model induced by intramuscular administration of acidic saline. Although the mechanisms involved in the attenuation of hyperalgesia in rats injected with acidic saline and subjected to adrenalectomy still need to be elucidated, the results found in this study suggest that glucocorticoids may not represent an effective therapeutic approach to alleviate FM symptoms.
Manipulation of the seagrass‐associated microbiome reduces disease severity
Authors: Graham Olivia J. , Adamczyk Emily M. , Schenk Siobhan , Dawkins Phoebe , Burke Samantha , Chei Emily , Cisz Kaitlyn , Dayal Sukanya , Elstner Jack , Hausner Arjun Lev Pillai , Hughes Taylor , Manglani Omisha , McDonald Miles , Mikles Chloe , Poslednik Anna , Vinton Audrey , Wegener Parfrey Laura , Harvell C. Drew 
Published: January 2024

AbstractHost‐associated microbes influence host health and function and can be a first line of defence against infections. While research increasingly shows that terrestrial plant microbiomes contribute to bacterial, fungal, and oomycete disease resistance, no comparable experimental work has investigated marine plant microbiomes or more diverse disease agents. We test the hypothesis that the eelgrass (Zostera marina) leaf microbiome increases resistance to seagrass wasting disease. From field eelgrass with paired diseased and asymptomatic tissue, 16S rRNA gene amplicon sequencing revealed that bacterial composition and richness varied markedly between diseased and asymptomatic tissue in one of the two years. This suggests that the influence of disease on eelgrass microbial communities may vary with environmental conditions. We next experimentally reduced the eelgrass microbiome with antibiotics and bleach, then inoculated plants with Labyrinthula zosterae, the causative agent of wasting disease. We detected significantly higher disease severity in eelgrass with a native microbiome than an experimentally reduced microbiome. Our results over multiple experiments do not support a protective role of the eelgrass microbiome against L. zosterae. Further studies of these marine host–microbe–pathogen relationships may continue to show new relationships between plant microbiomes and diseases.
Energy consumption‐economic growth nexus: How does sectorial differentials affects sustainable development?
Authors: Kulu Evans , Karakara Alhassan A. , Dasmani Isaac , Armah Mark Kojo 
Published: January 2024

AbstractEnergy, being one of the significant drivers of growth, has gained much focus in the last four decades. A connection between energy and growth exists in the economy: on the one hand, energy is a vital factor of production while growth improves living standards, which increases energy consumption on the other hand. Previous studies on the energy‐growth nexus paid less attention to sectorial differentials in the consumption of energy and growth. Also, the literature could not relate that to sustainable development. Thus, this study explores the sectorial differentials in energy consumption and how they affect the energy‐growth nexus within the context of sustainable development. The research employed secondary data for 46 sub‐Saharan Africa (SSA) countries for the period 2007 to 2020. Using the General Methods of Moments estimation technique, we found that all the measures of energy consumption positively affect economic growth. Also, CO2 intensity is positively related to growth in the economy while CO2 emissions from solid fuels negatively affect economic growth. Again, Foreign Direct Investment (FDI) is positively impacting economic growth and Gross Domestic Product (SSA) per energy use. Policy implications are discussed in the paper.
An innovative approach to evaluating sustainable development performance: The case of Turkey
Authors: Aldalou Eyad , Perçin Selçuk 
Published: January 2024

AbstractThe assessment of sustainable development necessitates precise productivity measurement. Existing literature reveals a wide array of methods employed for this purpose. However, these approaches give rise to concerns regarding the accurate assessment of both efficiency (EC) and technical (TC) changes. Additionally, the data used for productivity measurement are often subject to uncertainty. In response to these shortcomings in the existing literature, this study introduces the Environmental Fuzzy Malmquist Total Factor Productivity (EFM) index for productivity measurement. Within this framework, the study aims to assess Turkey's environmental sensitivity and sustainable development performance using the proposed EFM index. To achieve this goal, the study first constructs the Environmental Sensitivity Index (ESI), considering undesirable environmental pollution variables related to air, water, and soil pollution. Subsequently, the ESI is integrated with the Fuzzy Malmquist Total Factor Productivity Index (FM) to develop the new EFM index. The proposed integrated EFM index exhibits an enhanced ability to evaluate both EC and TC while addressing the challenges stemming from uncertainty. The proposed integrated EFM index indicates that the Marmara and Aegean regions of Turkey demonstrate the highest level of sustainable development performance. Finally, the study offers recommendations and policies to assist developing countries in enhancing their sustainable development performance.
Reducing the carbon footprint of general anaesthesia: a comparison of total intravenous anaesthesia vs. a mixed anaesthetic strategy in 47,157 adult patients
Authors: Bernat M. , Boyer A. , Roche M. , Richard C. , Bouvet L. , Remacle A. , Antonini F. , Poirier M. , Pastene B. , Hammad E. , Fond G. , Bruder N. , Leone M. , Zieleskiewicz L. 
Published: January 2024

SummaryGlobal warming is a major public health concern. Volatile anaesthetics are greenhouse gases that increase the carbon footprint of healthcare. Modelling studies indicate that total intravenous anaesthesia is less carbon intensive than volatile anaesthesia, with equivalent quality of care. In this observational study, we aimed to apply the findings of previous modelling studies to compare the carbon footprint per general anaesthetic of an exclusive TIVA strategy vs. a mixed TIVA‐volatile strategy. This comparative retrospective study was conducted over 2 years in two French hospitals, one using total intravenous anaesthesia only and one using a mixed strategy including both intravenous and inhalation anaesthetic techniques. Based on pharmacy procurement records, the quantity of anaesthetic sedative drugs was converted to carbon dioxide equivalents. The primary outcome was the difference in carbon footprint of hypnotic drugs per intervention between the two strategies. From 1 January 2021 to 31 December 2022, 25,137 patients received general anaesthesia in the hospital using the total intravenous anaesthesia strategy and 22,020 in the hospital using the mixed strategy. The carbon dioxide equivalent footprint of hypnotic drugs per intervention in the hospital using the total intravenous anaesthesia strategy was 20 times lower than in the hospital using the mixed strategy (emissions of 2.42 kg vs. 48.85 kg carbon dioxide equivalent per intervention, respectively). The total intravenous anaesthesia strategy significantly reduces the carbon footprint of hypnotic drugs in general anaesthesia in adult patients compared with a mixed strategy. Further research is warranted to assess the risk–benefit ratio of the widespread adoption of total intravenous anaesthesia.
Peri‐operative cardiac arrest due to suspected anaphylaxis as reported to the 7th National Audit Project of the Royal College of Anaesthetists
Authors: Cook T. M. , Kane A. D. , Armstrong R. A. , Kursumovic E. , Soar J. 
Published: January 2024

SummaryThe 7th National Audit Project (NAP7) of the Royal College of Anaesthetists studied peri‐operative cardiac arrest. Among 59 cases reported as possible anaphylaxis, 33 (56%) were judged to be so by the review panel with high or moderate confidence. Causes in excluded cases included: isolated severe hypotension; bronchospasm; and oesophageal intubation. Severe bronchospasm leading to cardiac arrest was uncommon, but notably in one case led to a reported flat capnograph. In the baseline survey, anaesthetists estimated anaphylaxis as the cause of 10% of cases of peri‐operative cardiac arrests and to be among the four most common causes. In a year‐long registry of peri‐operative cardiac arrest, suspected anaphylaxis was the seventh most common cause accounting for 4% of reports. Initial management was most often with low‐dose intravenous adrenaline, and this was without complications. Both the NAP7 baseline survey and case registry provided evidence of reluctance to starting chest compressions when systolic blood pressure had fallen to below 50 mmHg and occasionally even when it was unrecordable. All 33 patients were resuscitated successfully but one patient later died. The one death occurred in a relatively young patient in whom chest compressions were delayed. Overall, peri‐operative anaphylaxis leading to cardiac arrest occurred with a similar frequency and patterns of presentation, location, initial rhythm and suspected triggers in NAP7 as in the 6th National Audit Project (NAP6). Outcomes in NAP7 were generally better than for equivalent cases in NAP6.
Editorial: Eosinophilic oesophagitis coming of age—Increasing frequency and wider age range—Authors' reply
Authors: Kiran Akshatha , Dellon Evan S. , Reed Craig C. 
Published: January 2024

LINKED CONTENTThis article is linked to Kiran et al papers. To view these articles, visit https://doi.org/10.1111/apt.17781 and https://doi.org/10.1111/apt.17801
Immunohistochemical differentiation of keratins and involucrin between palmar psoriasis, chronic hand eczema and hyperkeratotic hand eczema
Authors: Baek Eun Joo , Jung Da Yeon , Seung Na Reu , Jang Ye Ji , Park Eun Joo , Kim Kwang Ho 
Published: January 2024

AbstractBackgroundCommon hyperkeratotic palmar skin lesions include chronic hand eczema (CHE), hyperkeratotic hand eczema (HHE), palmar psoriasis (PP). However, clinically differentiating these disorders is often challenging.ObjectivesTo compare the expressions of keratin (K) 5, K9, K14 and involucrin in palmar hyperkeratotic lesions (HHE, CHE and PP).Materials and MethodsImmunohistochemical staining was performed on skin biopsy specimens obtained from the palms of patients clinically diagnosed with CHE, HHE and PP (n = 21, 24 and 18, respectively).ResultsK5 and K14 expression levels were higher in the spinous and granular layers of PP and HHE compared to CHE. Involucrin was expressed in the basal layer of PP and HHE but not in CHE. K9 expression was decreased in PP and HHE compared to CHE.ConclusionKeratin and involucrin expression in the epidermis are markers of keratinocyte differentiation. Expression levels of keratin and involucrin were similar between the HHE and PP groups, suggesting that HHE shares pathogenesis with PP rather than CHE.
Ubrogepant: Mechanism of action, clinical and translational science
Authors: Boinpally Ramesh , Shebley Mohamad , Trugman Joel 
Published: January 2024

AbstractIn recent years, the treatment of migraine has experienced a breakthrough in the development of drugs that target the calcitonin gene‐related peptide (CGRP) signaling pathway. Monoclonal antibodies against the receptor or ligand have been developed for the preventive treatment of migraine; whereas, orally administered small molecule CGRP receptor antagonists, called gepants, have been developed for both acute and/or preventive treatment. Both modalities have demonstrated safe and effective treatment of migraine, reducing the number of migraine days for patients as well as reducing symptoms and improving patient function and overall quality of life. Here, we provide an abridged review of ubrogepant, an oral CGRP receptor antagonist, approved for the acute treatment of migraine. We briefly summarize the role of CGRP in migraine pathophysiology, describing the mechanism of action of ubrogepant in the context of this pathway, the clinical pharmacology properties and the clinical development and outcomes, including safety, efficacy, pharmacokinetics, and pharmacodynamics, that supported ubrogepant's approval.
Efficacy of alkaline hydrolyzed torula yeast for monitoring Anastrepha spp.
Authors: Lasa Rodrigo , Williams Trevor 
Published: January 2024

AbstractAnastrepha fruit flies (Diptera: Tephritidae) are important pests of several crops in the Americas. Alkaline hydrolysis of proteins represents a potential source of novel attractants. Previous studies revealed a higher response by Anastrepha obliqua (Macquart) to alkaline hydrolyzed torula yeast compared with other attractants. Under field conditions, captures of Anastrepha fraterculus (Wiedemann), Anastrepha ludens (Loew), and Anastrepha serpentina (Wiedemann) were significantly higher in traps baited with alkaline hydrolyzed torula yeast than in traps baited with acid hydrolyzed protein (Captor) + borax. Fly attraction to alkaline hydrolyzed torula yeast varied with species but was higher in the 1st week and decreased after 2 or 3 weeks of use in the field. The release of ammonia gas from alkaline hydrolyzed torula yeast and CeraTrap was reduced after 3 weeks, but CeraTrap remained effective in the capture of flies whereas alkaline hydrolyzed torula yeast did not. No improvement in fly captures was observed for aged alkaline hydrolyzed torula yeast when 1% ammonium acetate was added to traps. The addition of propylene glycol or benzalkonium chloride did not improve trap captures over time. Although CeraTrap has advantages in attractiveness and durability, the attraction, simplicity, and low cost make alkaline hydrolyzed torula yeast a promising attractant when compared with the standard Captor + borax in short‐term monitoring programs targeted at Anastrepha pests.
Fractures in Thoroughbred racing and the potential for pre‐race identification of horses at risk
Authors: Wright Ian , Minshall Gaynor , Young Natalie , Riggs Christopher 
Published: January 2024

AbstractRisk rates for and predisposing factors to fractures occurring in Thoroughbred racing that have been published in peer reviewed journals are documented. The potential for currently available techniques to identify horses at increased risk for fracture is discussed on the bases of principles, practicalities, advantages, disadvantages and current data. All are reviewed in light of justifiable decision making and importance of fractures to horseracing's social license.
Empowering EEG motor imagery classification with deep transfer learning approach
Authors: Mishra Awanish Kumar , Gupta Indresh Kumar , Srivastava Swati , Alfarhood Sultan , Safran Mejdl 
Published: January 2024

AbstractThe brain‐computer interface (BCI) enables individuals with impairments to interact with the real world without relying on the neuromuscular pathway. BCI leverages artificial intelligence (AI) models for control. It can capture brain activity patterns associated with mental processes and convert them into commands for actuators. One promising application of BCI is in rehabilitation centres. When compared to traditional methods integrated with machine learning (ML) approaches that were initially explored in the past decade, there is a relatively limited number of studies utilizing deep learning (DL) approaches in BCI applications. A novel approach has been developed for the automatic recognition of motor imagery (MI) tasks. This article introduces the improved sparrow search algorithm with deep transfer learning‐based EEG motor imagery classification (ISSADTL‐EEGMIC) algorithm for BCIs. The presented ISSADTL‐EEGMIC algorithm primarily focuses on the automated classification of motor imagery tasks. To achieve this, the ISSADTL‐EEGMIC method first preprocesses EEG signals using the wavelet packet decomposition (WPD) technique. Additionally, it employs the neural architecture search network (NASNet) technique for feature extraction. Moreover, the ISSADTL‐EEGMIC model performs the classification process using the stacked sparse autoencoder (SSAE) model. Furthermore, hyperparameter optimization of the SSAE model is performed using the ISSA technique, which helps achieve maximum classification performance. The results from the simulation of the ISSADTL‐EEGMIC algorithm have been examined using two benchmark datasets. The experimental findings suggest that it outperforms recent approaches in terms of performance.
Reduction of financial tick big data for intraday trading
Authors: Milke Vitaliy , Luca Cristina , Wilson George B. 
Published: January 2024

AbstractVarious neural network architectures are often used to forecast movements in financial markets. Most research in quantitative analytics in finance uses interval financial data as this reduces the raw tick big data, but the averaging can lose key behaviour patterns. This work presents an alternative novel method to reduce raw tick data whilst retaining important information for training, as demonstrated with intraday trading using the EURO/USD currency pair. This time series reduction method focuses on short periods preceding significant movements in financial features and allows the most popular neural network architectures to be applied using less powerful but more readily available computer resources. It is shown that the proposed data preprocessing method for machine learning and other AI‐techniques successfully reduced the size of the selected dataset covering a three‐year period (2018–2021) by 275 times.