bluuebunny/crossref_metadata_2025_split huggingface dataset:
Big data and supply chain resilience: role of decision-making technology
Authors: Liu Huimin , Lu Fuying , Shi Binyan , Hu Ying , Li Min 
Published: April 2023

PurposeAs global supply chains continue to develop, uncertainty grows and supply chains are frequently threatened with disruption. Although big data technology is being used to improve supply chain resilience, big data technology's role in human–machine collaboration is shifting between “supporters” and “substitutes.” However, big data technology's applicability in supply chain management is unclear. Choosing appropriate big data technology based on the enterprise's internal and external environments is important.Design/methodology/approachThis study built a three-factor structural model of the factors “management support,” “big data technology adoption” and “supply chain resilience”. Big data technology adoption was divided into big data-assisted decision-making technology (ADT) and big data intelligent decision-making technology (IDT). A survey was conducted on more than 260 employees from supply chain departments in Chinese companies. The data were analyzed through structural equation modeling using Analyze of Moment Structures (AMOS) software.FindingsThe study's empirical results revealed that adopting both ADT and IDT improved supply chain resilience. The effects of both types of big data were significant in low-dynamic environments, but the effect of IDT on supply chain resilience was insignificant under high-dynamic environments. The authors also found that government support had an insignificantly effect on IDT adoption but significantly boosted ADT adoption, whereas management support factors promoted both ADT and IDT adoption.Originality/valueBy introducing two types of big data technology from the perspectives of the roles in human–machine collaborative decision-making, the research results provide a theoretical basis and management implications for enterprises to reduce the supply chain risk of enterprises.
Can COVID-19 deaths and confirmed cases predict the uncertainty indexes? A multiscale analysis
Authors: Mensi Walid , Vo Vinh Xuan , Kang Sang Hoon 
Published: April 2023

Purpose
This study aims to examine the multiscale predictability power of COVID-19 deaths and confirmed cases on the S&P 500 index (USA), CAC30 index (France), BSE index (India), two strategic commodity futures (West Texas intermediate [WTI] crude oil and Gold) and five main uncertainty indices Equity Market Volatility Ticker (EMV), CBOE Volatility Index (VIX), US Economic Policy Uncertainty (EPU), CBOE Crude Oil Volatility Index (OVX) and CBOE ETF Gold Volatility Index (GVZ). Furthermore, the authors analyze the impact of uncertainty indices and COVID-19 deaths and confirmed cases on the price returns of stocks (S&P500, CAC300 and BSE), crude oil and gold.

Design/methodology/approach
The authors used the wavelet coherency method and quantile regression approach to achieve the objectives.

Findings
The results show strong multiscale comovements between the variables under investigation. Lead-lag relationships vary across frequencies. Finally, COVID-19 news is a powerful predictor of the uncertainty indices at intermediate (4–16 days) and low (32–64 days) frequencies for EPU and at low frequency for EMV, VIX, OVX and GVZ indices from January to April 2020. The S&P500, CAC30 and BSE indexes and gold prices comove with COVID-19 news at low frequencies during the sample period. By contrast, COVID-19 news and WTI oil moderately correlated at low frequencies. Finally, the returns on equity and commodity assets are influenced by uncertainty indices and are sensitive to market conditions.

Originality/value
This study contributes to the literature by exploring the time and frequency dependence between COVID-19 news (confirmed and death cases) on the returns of financial and commodity markets and uncertainty indexes. The findings can assist market participants and policymakers in considering the predictability of future prices and uncertainty over time and across frequencies when setting up regulations that aim to enhance market efficiency.
The volatility spillover effect of macroeconomic indicators on inbound tourism in India
Authors: Rastogi Shailesh , Kanoujiya Jagjeevan 
Published: April 2023

Purpose
This study aims to determine the mutual association between the volatility of macroeconomic indicators (MIs) and India’s tourism demand.

Design/methodology/approach
Bivariate generalized autoregressive conditional heteroscedasticity (GARCH) models are applied to estimate the volatility spillover effect (VSE) from one market to another. Compared to the other methods, bivariate GARCH has wide acceptance for estimating the VSE. The monthly MIs and tourism demand data (2012–2021) are gathered for empirical analysis.

Findings
The evidence of the growth-led tourism (GLT) demand is seen. In the short term, tourism-led growth (TLG) is indicated. However, this TLG does not sustain itself in the long run. There is significant evidence in favour of the VSE from the MIs to the tourism demand ensuring GLT in India.

Practical implications
The main implication of the current study is to ignore the short-term influence of tourism demand on the economy because it does not sustain itself in the long run. However, the long-term influence of macroeconomic indicators on tourism demand should be seen with caution. Hedging, if possible, may be considered to protect the tourism sector’s interests from adverse economic fallouts.

Originality/value
There is a lack of studies on the volatility (especially on the VSE) between MIs and tourism demand. Hence, this study fills the research gap and presents a novel and unique contribution to the extent of the knowledge body on the topic and significantly contributes.
Impact of body mass index on the severity of bexarotene‐associated hypertriglyceridemia: A post hoc analysis of an open‐labeled clinical study of combined bexarotene and phototherapy in Japanese patients with cutaneous T‐cell lymphoma
Authors: Sanagawa Akimasa , Hayakawa Tomoaki , Nishida Emi , Yamamoto Aya , Ikumi Kyoko , Mori Yukari , Hotta Yuji , Kimura Kazunori , Furukawa‐Hibi Yoko , Morita Akimichi 
Published: April 2023

AbstractBexarotene is an effective oral drug for the treatment of cutaneous T‐cell lymphoma, but careful management is required due to its various side effects. In particular, hypertriglyceridemia often requires a reduction or even suspension of bexarotene therapy. The risk factors of bexarotene‐associated severe hypertriglyceridemia are not clear. Here, we conducted a post hoc analysis of the data from our previous clinical trial, which confirmed the efficacy and safety of combined bexarotene and phototherapy, to evaluate the effect of body mass index on bexarotene‐associated hypertriglyceridemia. Twenty‐five subjects were divided into two subgroups: normal and underweight (body mass index [BMI] <25 kg/m2 group) and overweight and obese (BMI ≥25 kg/m2 group) patients. The overall incidence of hypertriglyceridemia was 81.3% (13/16) in the BMI <25 kg/m2 group and 88.9% (8/9) in the BMI ≥25 kg/m2 group. The incidence of grade ≥3 hypertriglyceridemia (≥500 mg/dL) was 7.7% (1/13) in the BMI <25 kg/m2 group and 7/8 (87.5%) in the BMI ≥25 kg/m2 group (P < 0.001). Consequently, dose reduction in the BMI ≥25 kg/m2 group was larger than that in the BMI <25 kg/m2 group. The bexarotene‐induced change in the serum triglyceride concentration was significantly increased in cutaneous T‐cell lymphoma patients with a higher body mass index (ρ = 0.508, P = 0.009). The area under the curve was 0.886 (95% confidence interval 0.748–1.000, P = 0.002). With a body mass index cut‐off of 24.85 kg/m2, the sensitivity and specificity for identifying grade ≥3 hypertriglyceridemia were 0.875 and 0.882, respectively. The present findings suggest that BMI ≥25 kg/m2 is a risk factor for bexarotene‐associated severe hypertriglyceridemia, therefore overweight and obese patients treated with bexarotene should receive lipid‐lowering drugs prophylactically. Further studies for optimizing the initial bexarotene dose in such patients are required.
Effect of chitosan with different molecular weights on the antifungal activity against Colletotrichum gloeosporioides and activation of the non‐enzymatic antioxidant system on infected papaya
Authors: López‐Zazueta Blanca Alicia , Ayón‐Reyna Lidia Elena , Gutiérrez‐Dorado Roberto , Rodríguez‐Gómez Fernando Arturo , López‐López Martha Edith , López‐Velázquez Jordi Gerardo , Díaz‐Corona Denisse Aurora , Vega‐García Misael Odín 
Published: April 2023

AbstractChitosan (Ch) is a biopolymer with excellent antimicrobial and antioxidant properties, capable of maintaining the organoleptic quality of fruits. These properties have been related to its molecular weight. However, the effect of different molecular weights on the non‐enzymatic antioxidant system and postharvest quality of anthracnose‐infected papaya is still unknown. Therefore, this study evaluated the effect of different Ch molecular weights (13, 25, and 55 kDa) on anthracnose development, antioxidant capacity, and postharvest quality of papaya. The Ch‐55, Ch‐25, and 13 kDa inhibited the development of Colletotrichum gloeosporioides. In comparison with thiabendazole, Ch with different molecular weights showed fungicidal effects. Ch‐55 kDa reduced anthracnose incidence and severity and maintained postharvest quality parameters of papaya. In addition, Ch‐55 and Ch‐13 kDa favored synthesis of ascorbic acid, total phenolics, and antioxidant capacity. Therefore, Ch‐55 kDa is an alternative to the protection against C. gloeosporioides and a stimulant of the non‐enzymatic antioxidant system in papaya fruits during its postharvest storage.Practical ApplicationCh with different molecular weights have different effects over anthracnose control and postharvest quality in papaya. In addition, they have different stimulation levels on the non‐enzymatic antioxidant system of papaya fruits, in a higher level than the chemical fungicide TBZ, by regulating the growth of the fungus and the degradative processes that are generated in fungal infection. In this sense, we believe that our findings could be of interest for producers and farmers to take advantage of this biopolymer to control anthracnose, preserve the postharvest quality, and stimulate the non‐enzymatic antioxidant system of papaya fruit.
Fighting polymicrobial biofilms in bacterial vaginosis
Authors: Sousa Lúcia G. V. , Pereira Sofia A. , Cerca Nuno 
Published: April 2023

AbstractBacterial vaginosis (BV) is the most common cause of vaginal discharge and is often associated with other health consequences mainly in pregnant women. BV is described by an imbalance in the vaginal microbiota where strictly and facultative anaerobic bacteria outgrow the lactic acid‐ and hydrogen peroxide‐producing Lactobacillus species. The species involved in BV are capable to grow and form a polymicrobial biofilm in the vaginal epithelium. The treatment of BV is usually performed using broad‐spectrum antibiotics, including metronidazole and clindamycin. However, these conventional treatments are associated with high recurrence rates. The BV polymicrobial biofilm may have an important role on the treatment outcome and is accounted as one of the factors for treatment failure. Other possible reasons for treatment failure include the presence of species resistant to antibiotics or the chance of reinfection after treatment. Therefore, novel strategies to increase the rates of treatment have been studied namely the use of probiotics and prebiotics, acidifying agents, antiseptics, plant‐based products, vaginal microbiota transplantation, and phage endolysins. Although some of them are still in an initial phase of development with very preliminary results, they show great perspectives for application. In this review, we aimed to study the role of the polymicrobial nature of BV in treatment failure and explore a few alternatives for treatment.
Inferring pathogen presence when sample misclassification and partial observation occur
Authors: Campbell Grant Evan H. , Mummah Riley O. , Mosher Brittany A. , Evans Jonah , DiRenzo Graziella V. 
Published: April 2023

Abstract

Surveillance programmes are essential for detecting emerging pathogens and often rely on molecular methods to make inference about the presence of a target disease agent. However, molecular methods rarely detect target DNA perfectly. For example, molecular pathogen detection methods can result in misclassification (i.e. false positives and false negatives) or partial detection errors (i.e. detections with ‘ambiguous’, ‘uncertain’ or ‘equivocal’ results). Then, when data are to be analysed, these partial observations are either discarded or censored; this, however, disregards information that could be used to make inference about the true state of the system. There is a critical need for more direction and guidance related to how many samples are enough to declare a unit of interest ‘pathogen free’.

Here, we develop a Bayesian hierarchal framework that accommodates false negative, false positive and uncertain detections to improve inference related to the occupancy of a pathogen. We apply our modelling framework to a case study of the fungal pathogen Pseudogymnoascus destructans (Pd) identified in Texas bats at the invasion front of white‐nose syndrome. To improve future surveillance programmes, we provide guidance on sample sizes required to be 95% certain a target organism is absent from a site.

We found that the presence of uncertain detections increased the variability of resulting posterior probability distributions of pathogen occurrence, and that our estimates of required sample size were very sensitive to prior information about pathogen occupancy, pathogen prevalence and diagnostic test specificity. In the Pd case study, we found that the posterior probability of occupancy was very low in 2018, but occupancy probability approached 1 in 2020, reflecting increasing prior probabilities of occupancy and prevalence elicited from the site manager.

Our modelling framework provides the user a posterior probability distribution of pathogen occurrence, which allows for subjective interpretation by the decision‐maker. To help readers apply and use the methods we developed, we provide an interactive RShiny app that generates target species occupancy estimation and sample size estimates to make these methods more accessible to the scientific community (https://rmummah.shinyapps.io/ambigDetect_sampleSize). This modelling framework and sample size guide may be useful for improving inferences from molecular surveillance data about emerging pathogens, non‐native invasive species and endangered species where misclassifications and ambiguous detections occur.
Prenatal alcohol exposure and attention‐deficit/hyperactivity disorder independently predict greater substance use in young adulthood
Authors: Dodge Neil C. , Jacobson Joseph L. , Lundahl Leslie H. , Jacobson Sandra W. 
Published: April 2023

AbstractBackgroundThe degree to which prenatal alcohol exposure (PAE) may influence alcohol and drug use in adulthood is difficult to determine. That is because PAE is highly correlated with environmental factors, including low socioeconomic status and exposure to parental drinking, and with behavioral problems, such as, attention‐deficit/hyperactivity disorder (ADHD), which are correlated with alcohol use and abuse.MethodsParticipants were 121 young adults from our Detroit Longitudinal Cohort study. Mothers were recruited during pregnancy and interviewed about their alcohol consumption using a timeline follow‐back procedure. At 19 years, their offspring were interviewed regarding current and past use of alcohol, cigarettes, and other illicit drugs.ResultsPAE was associated with greater alcohol, cannabis, and cigarette use. PAE, assessed using overall alcohol intake during pregnancy and alcohol dose per occasion, was associated with larger quantities of alcohol per occasion and greater alcohol tolerance in early adulthood. These effects persisted after control for demographic background, sex, age and education of participant, home environment, other prenatal drug exposure, and postnatal alcohol and drug use by the primary caregiver. Whereas ADHD predicted average alcohol consumed/month during young adulthood, PAE predicted alcohol dose/drinking occasion, and the effect on dose/occasion was not mediated by ADHD.ConclusionsThe effects of PAE on alcohol and cannabis use in young adulthood are not attributable to being reared in an environment that is socioeconomically disadvantaged or in one in which there is extensive maternal drinking. Furthermore, PAE was related to enhanced alcohol tolerance in young adults, a risk factor for alcohol use disorder later in life. Although ADHD was associated with greater alcohol consumption in early adulthood, it did not mediate the effect of PAE on offspring's alcohol use.
Molecular genetic diagnosis of kidney ciliopathies: Lessons from interpreting genomic sequencing data and the requirement for accurate phenotypic data
Authors: Orr Sarah , Olinger Eric , Iosifidou Sotia , Barroso‐Gil Miguel , Neatu Ruxandra , Wood Katrina , Wilson Ian ,   Genomics England Research Consortium, Sayer John Andrew 
Published: April 2023

AbstractIntroduction: Massively parallel sequencing (MPS) techniques have made a major impact on the identification of the genetic basis of inherited kidney diseases such as the ciliopathy autosomal dominant polycystic kidney disease (ADPKD). Great care must be taken when analysing MPS data in isolation from accurate phenotypic information, as this can cause misdiagnosis. Methods: Here, we describe a family trio, recruited to the Genomics England 100,000 Genomes Project, labelled as having cystic kidney disease, who were genetically unsolved following routine data analysis pipelines. We performed a bespoke reanalysis of Whole Genome Sequencing (WGS) data and coupled this with revised phenotypic data and targeted PCR and Sanger sequencing to provide a precise molecular genetic diagnosis. Results: We detected a heterozygous PKD1 frameshift variant within the WGS data which segregated with the redefined ADPKD phenotypes. An additional heterozygous exon deletion in ALG8 was also found in affected and unaffected individuals, but its precise clinical significance remains unclear. Conclusion: This case illustrates that reanalysis of WGS data in unsolved cases of cystic kidney disease is valuable. Clinical phenotypes must be reassessed as these may have been incorrectly recorded and evolve over time. Undertaking additional studies including genotype‐phenotype correlation in wider family members provides useful diagnostic information.
Ureterorenoscopic stone procedures have low success rates and poor post‐operative follow‐up: results from an Australian tertiary health service
Authors: Goel Vinay , Dat Anthony , Jackman Matthew , Davis Michelle , Sidoti Roberta , Winter Hugo , McCahy Philip 
Published: April 2023

AbstractBackgroundTo assess the results of ureterorenoscopy (URS) for upper tract urolithiasis in a contemporary Australian tertiary healthcare setting.MethodsHospital records of all URS stone procedures performed between January 2017 and December 2018 in a metropolitan service were retrospectively reviewed. Outcome measures including stone free rates, adherence to postoperative follow‐up and complications rates were recorded.Results385 patients (387 renal units) with mean age 53.8 (range 18–89) underwent URS for stones measuring between 2 and 27 mm (median 8 mm). 465 URS were performed with 1029 total procedures performed. 48.6% of operations were performed as day cases. Complications were recorded in 9% of the 465 URS cases with 42.9% of these Clavien II or more. The representation rate to our Emergency Departments was 15.4%. Only 49.1% (201) of patients had a follow‐up review with imaging to assess stone free rates. Of the 201 patients who underwent imaging, only 38.3% were stone free. Stone analysis was performed in 34.5%.ConclusionLess than half of all patients were reviewed despite undergoing expensive, time consuming surgery for a condition with a high recurrence rate. In agreement with recent publications stone‐free rates were low, with significant complications and representation rates. Stone surgery should be given the attention and resources equivalent to cancer surgery to improve results.Level of evidence2b.
Upper GI bleeding in rural Australia: general surgery still alive and well!
Authors: Sabat Nestor , McSweeney William , Konno Takuma , Gilberd Matthew A. , Molloy Charles , Pretorius Casper 
Published: April 2023

AbstractBackgroundThe complex and critically unwell upper gastrointestinal bleeding (UGIB) patient is a common emergency presentation in Australia. Managed medically and endoscopically by rural general surgeons in rural and remote Australian hospitals which lack a gastroenterology service, this can be ameliorated by clear evidence‐based guidelines.MethodsA single‐centre retrospective review of adult patients who underwent emergency gastroscopy for UGIB at the Mackay Base Hospital, January 2019 to January 2022. Detailed patient data from the assessment, resuscitation, time to endoscopy, endoscopic intervention, and outcomes were compared against key international gastroenterology society safety and quality standards for UGIB.ResultsTwo hundred patients had a comprehensive initial assessment and resuscitation with PRBC (39%), anticoagulation reversal (18%), pantoprazole infusion (81%), tranexamic acid (10.50%) and octreotide (16.50%). Risk scores were calculated retrospectively as none were documented. Time‐to‐endoscopy targets were achieved in over 70% of variceal or non‐variceal UGIB patients. Bleeding was found in 59.50% of patients but 63% of patients did not require a manoeuvre to stop the bleeding. Post‐operative complications were scarce.ConclusionThis study reflects on the need for a local multidisciplinary protocol to help expedite the current high‐quality healthcare delivered by rural general surgeons in managing patients with UGIB. Implementing risk assessment scores would shorten the time to endoscopy in the initial assessment Guidelines would optimize resuscitation ensuring appropriate replacement, medication administration, anticoagulation reversal, and preventing unnecessary therapy. Despite these nuisances, the time to endoscopy, endoscopic intervention, and patient outcomes were largely in line with international quality assurance and safety targets.