bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in US State Public Health Emergency Laws, 2021–2022
Authors: Platt Elizabeth , Moran-McCabe Katie , Cook Amy , Burris Scott 
Published: February 2023

Objectives. To identify and categorize US state legislation introduced between January 1, 2021, and May 20, 2022, that addresses emergency health authority. Methods. We adapted standard policy surveillance methods to collect and code state bills and enacted laws limiting or expanding the emergency public health authority of state and local officials and agencies. Results. State legislators introduced 1531 bills addressing public health authority; 191 of those were enacted in 43 states and the District of Columbia, including 17 expanding and 65 contracting emergency authority, 163 regulating use, and 30 preempting local use of specific measures such as mask mandates. Conclusions. State laws setting the scope and limits of emergency authority are crucial to effective public health response. These laws are changing in ways that threaten to reduce response capacity. Tracking changes in health law infrastructure is important for evaluating changes in health authority and ensuring that stakeholders recognize these changes. Public Health Implications. The COVID-19 pandemic called for quick, decisive action to limit infections, and when the next outbreak hits, new laws limiting health authority will make such action even more difficult. (Am J Public Health. 2023;113(3):288–296. https://doi.org/10.2105/10.2105/AJPH.2022.307214 )
Optimization of an Integrated Reservoir-Production System Using Polynomial Chaos Expansion and Sobol Sensitivity Analysis
Authors: Rezaeian Javad , Jahanbakhshi Saman , Shaygan Kaveh , Jamshidi Saeid 
Published: February 2023

SummaryIntegrated reservoir-production modeling is a collaborative multidisciplinary tool that can facilitate optimization of oil and gas production operations during the field development planning stage of exploiting subsurface resources. The critical issue with this technique is the excessive computational burden of the large integrated model with many input variables, which has not been effectively addressed to date. This study aims to reduce the computational costs and runtimes associated with the production integration and optimization process from oil fields. To do so, the reservoir and the surface network models of an Iranian oil field were coupled to create an integrated model for the optimization of field parameters to achieve the highest oil production rate. In the first step of simplification, polynomial chaos expansion (PCE) was used to establish a surrogate model from the integrated system. Next, Sobol sensitivity analysis, which is a variance-based, global, and model-free sensitivity analysis technique, was performed to reduce the number of input variables by identifying the most influential variables. Finally, the optimization was implemented using genetic algorithm (GA) on the PCE surrogate model of the integrated system with the most important variables. The results from the case study showed that the integrated model can be replaced with the PCE surrogate model while the accuracy is maintained. Moreover, performing sensitivity analysis considerably decreased the number of input variables for optimization by revealing their significance. The proposed methodology in this study can substantially improve the computational efficiency of the optimization for the integrated reservoir-production system.
Individual Variation of Transient Milk Production Loss After Vaccination in Sahiwal Cows (Bos Indicus)
Authors: Rajput Atul Singh , Bhakat M. , Mohanty T. K. , Maity Sanjit , Mondal G. , Mir A. A. , Gayathri S. L. , Rajput M. S. , Dewery R. K. , Shah N. , Baithalu R.K. 
Published: February 2023

Abstract
The vaccination of productive animals has been identified as a critical intervention area. The extent of milk production loss following foot-and-mouth disease (FMD), hemorrhagic septicemia and black quarter (HS + BQ), Theileriosis, and infectious bovine rhinotracheitis (IBR) vaccination needs analysis. So, the present study collected milk production data during different vaccination. A significant (p < 0.01; p < 0.05) decrease in fortnightly total milk yield/animal and average milk yield/animal/day in different parities and stages of lactation after vaccination as compared to pre-vaccination. Among the vaccinated animals, 67.5 to 85.3 percentage animals showed a decline, whereas 14.7 to 32.5 percentage animals indicated no influence on milk production after vaccination. In the case of affected cows, 33–38% of animals showed a decline up to 10%; 20–25% of animals showed a 10–20% decline; 15–24% of animals showed a 20–30% decline; 9–10% of animals showed a 30–40% decline, and 9–15% of animals showed more than 40% decline in average daily milk yield/animal/day after FMD, HS + BQ, Theileriosis, and IBR vaccination. It can conclude that the Bos indicus showed various percentages of milk production declines, and some animals showed no decrease after vaccination.
Patents and ESG Compliance in Startups
Authors: Jacob Renooj , Arcot Purna Prasad 
Published: February 2023

Abstract

Patents help in protecting research and development efforts in an organization. They are known to increase valuation during merger and acquisition and act as signal for investors to make investment decisions in startups. Despite the value that patents add to a firm, vast majority of patents remain unutilised across larger organizations. Environmental, Social, and Governance investing is gaining popularity and investors are increasingly using ESG analysis to make investments. In this paper, we studied startups that are funded. Further, we identified and filtered out startups that are ESG compliant. We found that startups that are ESG compliant have better patent utilization. We believe that startups that are ESG compliant will foster responsible investing and sustainable innovation.
Entrepreneurial Ecosystem of Micro and Small Enterprises: A Bibliometric Analysis
Authors: Wube Mulugeta Chane , Atwal Heena 
Published: February 2023

Abstract
Bibliometric analysis is relatively a new issue in business areas like entrepreneurship and small business management. The present study shows the trends in the literature for the past 10 years in the areas of the entrepreneurial ecosystem of MSEs. Bibliometric analysis has been made using the Dimensions database based on literature documented from 2013 to 2022. In making the analysis, VOS Viewer software has been used to know the number of publications and citations together with countries and organizations that contribute a lot in producing documents in the area in the stated period. The analysis results on 266 publications in the areas show that the United Kingdom, India and the United States take the leading position in their contribution to the publications and the citations. It is implied from the study that the area is not well researched and lacks adequacy of literature. The analysis is found to be very important as it clearly shows the trends in publications and citations in the area. Hence scholars in the area are recommended to conduct research works in the entrepreneurial ecosystem of MSEs to fill the literature gaps existing.
Gender gap in Iran: An examination of unemployment duration
Authors: Zamanzadeh Akbar , Chan Professor Marc K. , Ganjali Professor Mojtaba 
Published: February 2023

Abstract
We examine the gender gap in unemployment duration in a large developing economy that is characterised by high gender inequality in social and economic opportunities. Due to sensitivity concerns, such data are often released by authorities in the form of contingency tables, which consist of multiple categories of count data. To overcome this limitation, we estimate a Bayesian log-linear Poisson regression model and develop the Oaxaca-Blinder (O-B) decomposition based on multi-way contingency tables. Using data from the 2019 Iranian Labour Force Survey, our findings indicate that gender gap can be narrowed most substantially if women with university educations face the same labour market opportunities as men.
Antifungal activity of bio-active cell-free metabolites and volatile organic compounds (VOCs) synthesised by endophytic fungal isolates of Garden Nasturtium
Authors: Santra Hiran Kanti , Dutta Riya , Banerjee Debdulal 
Published: February 2023

Abstract
The increasing resistance of fungal pathogens against available antifungal agents is a serious threat to mankind. The most suitable solutions can only be found from untapped novel natural sources and endophytic metabolites are emerging as one of the dominant contributors in this field. In the present study, Ethyl acetate (EA) extract of cell-free metabolites and volatile metabolites of endophytic fungi Colletotrichum aenigma TML3 and Curvularia lunata TML9, isolated from leaves of Tropaeolum majus, exhibited broad-spectrum antifungal activity against four species of Candida and nine taxa of post-harvest phyto pathogens respectively. EA extract hampered the biofilm formation, minimised haemolytic effect, and blocked the transformation of Candida cells from yeast to hyphal form with an MFC of 200–600 µg mL− 1. Central carbohydrate metabolism, ergosterol synthesis, and membrane permeability were adversely affected and caused the lethal leakage of necessary macromolecules of C. albicans. Volatile metabolites inhibited the growth of phytopathogens up to 89% with an IC50 value of 21.3–69.6 µL 50 mL− 1 and caused leakage of soluble proteins and other intracellular molecules. Citrusy sweet odor volatiles minimised the infections of Penicillium digitatum (green mold), in VOC-exposed sweet oranges (Citrus sinensis). In total twenty-one non-volatile and thirteen volatile metabolites were detected from the TML3, and TML9 endophytic fungi respectively. Citrusy sweet odor volatiles of TML9 cultured in wheat-husk minimised the infections of Penicillium digitatum (green mold), in VOC-exposed sweet oranges (Citrus sinensis). Volatile and non-volatile antifungal metabolites of these two T. majus endophytes hold agricultural and pharmaceutical interests.
An Observational Study of the Pharmacokinetics of Adductor Canal Block using Liposomal Bupivacaine and Standard Bupivacaine in Total Knee Arthroplasty
Authors: Chan Will Shing Him , Chan Timmy Chi Wing , Mak Henry Chi Yeung , Chan Manson Tak Hei , Cheung Clement Hoo Chun , Leung Susan Wai Sum , Li Steve Po Yam , Wong Stanley Sau Ching , Cheung Chi Wai 
Published: February 2023

Abstract

BackgroundPeriarticular local infiltration of analgesia (LIA) and regional nerve block using adductor canal block (ACB) have been effective in managing postoperative pain for total knee arthroplasty (TKA). It has been shown that combining ACB with LIA can significantly reduce pain scores and morphine consumption compared with LIA alone. However, this raises concerns about the potential risk of local anesthetic systemic toxicity (LAST), especially with the large doses of total local anesthetic used in both LIA and ACB. This study was to evaluate the plasma level of bupivacaine over a 72-hour period following ACB using 66.5 mg of liposomal bupivacaine (LB) in patients undergoing TKA with LIA using 300 mg ropivacaine.MethodsThis was a prospective observational study. Ten patients undergoing primary, unilateral, simple revision TKA in a tertiary hospital in Hong Kong between December 2020 to February 2022 were included in the study. The primary outcomes were the time to peak plasma concentration (Tmax) of bupivacaine and the peak plasma concentration (Cmax) of bupivacaine. The secondary outcome was the presence of LAST.ResultsTmax of bupivacaine was 48 hours while Cmax of bupivacaine was 88 mcg/L, this value was far below 2000 mcg/L, the defined toxic plasma concentration of bupivacaine.ConclusionsThere is still room for increasing the dose of LB used in ACB for TKA patients, further dose-defining studies with PK data are needed to define the optimal dose that would balance the safety and efficacy of LB.Trial registrationThe clinical trial was registered at ClinicalTrials.gov with registration number NCT04916392.
Understanding the integration of artificial intelligence in health systems through the NASSS framework: A qualitative study in a leading Canadian academic centre
Authors: Alami Hassane , Lehoux Pascale , Papoutsi Chrysanthi , Shaw Sara E. , Fleet Richard , Fortin Jean-Paul 
Published: February 2023

Abstract

BackgroundArtificial intelligence (AI) technologies are expected to “revolutionise” healthcare. However, despite their promises, their integration within healthcare organisations and systems remains limited. The objective of this study is to explore and understand the systemic challenges and implications of their integration in a leading Canadian academic hospital.MethodsSemi-structured interviews were conducted with 29 stakeholders concerned by the integration of a large set of AI technologies within the organisation (e.g., managers, clinicians, researchers, patients, technology providers). Data were collected and analysed using the Non-Adoption, Abandonment, Scale-up, Spread, Sustainability (NASSS) framework.ResultsAmong enabling factors and conditions, our findings highlight: the reforms aiming to improve the effectiveness and efficiency of healthcare in Quebec; a supportive organisational culture and leadership leading to a coherent organisational innovation narrative; mutual trust and transparent communication between senior management and frontline teams; the presence of champions, translators and boundary spanners for AI able to build bridges and trust; and the capacity to attract technical and clinical talents and expertise. Constraints and barriers include: contrasting definitions of the value of AI technologies and ways to measure such value; lack of real-life and context-based evidence; varying patients’ digital and health literacy capacities; misalignments between organisational dynamics, clinical and administrative processes, infrastructures, and AI technologies; lack of funding mechanisms covering the implementation, adaptation, and expertise required; challenges arising from practice change, new expertise development, and professional identities; lack of official professional, reimbursement, and insurance guidelines; lack of pre- and post-market approval legal and governance frameworks; diversity of the business and financing models for AI technologies; and misalignments between investors’ priorities and the needs and expectations of healthcareorganisations and systems.ConclusionThanks to the multidimensional NASSS framework, this study provides original insights and a detailed learning base for analysing AI technologies in healthcare from a thorough socio-technical perspective. Our findings highlight the importance of considering the complexity characterising healthcare organisations and systems in current efforts to introduce AI technologies within clinical routines. This study adds to the existing literature and can inform decision-making towards a judicious, responsible, and sustainable integration of these technologies in healthcare organisations and systems.
Coal dust affects hypothalamic pituitary testicular axis and impairs glucose homeostasis in coal mine workers
Authors: Sulatana Julekha , Banerjee Oly , Singh Siddhartha , Mukherjee Sandip , Ghosh Suvendu , Syamal Alak Kumar 
Published: February 2023

Abstract
Results: Coal dust exposed workers showed altered insulin and cortisol level leading to impaired glucose homeostasis as compared to non-exposed workers. Further, increased serum LH and FSH level and decreased serum testosterone level in coal exposed workers pointing out to the compromised hypothalamo-pituitary-testicular axis. Next, to delineate the possible mechanism of adverse effect of coal dust, we explored erythrocyte oxidative stress. Coal dust exposed worker presented with increased erythrocyte membrane lipid peroxidation and decreased Na+-K+ ATPase activity simultaneously with decreased antioxidant and antioxidative enzyme activities. Conclusions: metabolic and reproductive health of coal miners is at risk and warrants for the adoption of control measures to reduce coal dust exposure in coal mines workplace.
Objective: Coal makes a significant economic contribution to the world as one of the most significant sources of energy. Multiple dust-producing operations are involved in the mining and processing of coal. One of the biggest causes of health risks for coal miners is coal dust. Study on the effect of coal dust on metabolic and reproductive health is still pending.
Methods: A cross sectional study was conducted on coal miners of two underground coal mines of West Bengal, India to assess adverse effect of coal dust on glucose homeostasis and hypothalamo-pituitary-testicular axis. Total of 124 underground coal dust exposed workers and 87 non-exposed workers were enrolled in this study. Physical and physiological parameters were measured. Blood was collected from all the study participants and glucose homeostasis parameters, reproductive hormones, inflammatory markers, erythrocyte oxidative stress were measured.
Deterministic Scheduling of Periodic Messages for Low Latency in Cloud RAN
Authors: Barth Dominique , Guiraud Maël , Strozecki Yann 
Published: February 2023

Abstract
Cloud-RAN (C-RAN) is an architecture for cellular networks, where processing units, previously attached to antennas, are centralized in data centers. The main challenge, to fulfill protocol time constraints, is to minimize the latency of the periodic messages sent from the antennas to their processing units and back. We show that statistical multiplexing suffers from high logical latency, due to buffering at nodes to avoid collisions. Hence, we propose to use a deterministic scheme for sending periodic messages without collision in the network, thus saving the latency incurred by buffering. We propose several algorithms to compute such schemes for star routed networks, a common topology where one link is shared by all antennas. First, we show there exist deterministic sending schemes without any buffering when the routes are short or the load is small. When the load is high, we allow buffering in processing units, and we propose the PMLS algorithm adapted from a classical scheduling method. Experimental results show that, even under full load, PMLS finds a deterministic sending scheme with no logical latency most of the time, while using statistical multiplexing adds very large latency. Moreover, PMLS runs in polynomial time and scales well to hundreds of antennas. Building on this algorithm, we also obtain very low latency periodic sending schemes that do not disrupt additional random traffic on the network. This article is an extended version of previous work presented at ICT[1].
Single-cell analysis identifies Ifi27l2a as a novel gene regulator of microglial inflammation in the context of aging and stroke.
Authors: Kim Gab Seok , Harmon Elisabeth , Gutierrez Manuel , Stephenson Jessica , Chauhan Anjali , Banerjee Anik , Wise Zachary , Doan Andrea , Wu Ting , Lee Juneyoung , Jung Joo Eun , McCullough Louise , Wythe Joshua , Marrelli Sean 
Published: February 2023

Abstract

Microglia are key mediators of inflammatory responses within the brain, as they regulate pro-inflammatory responses while also limiting neuroinflammation via reparative phagocytosis. Thus, identifying genes that modulate microglial function may reveal novel therapeutic interventions for promoting better outcomes in diseases featuring extensive inflammation, such as stroke. To facilitate identification of potential mediators of inflammation, we performed single-cell RNA sequencing of aged mouse brains following stroke and found that Ifi27l2a was significantly up-regulated, particularly in microglia. The increased Ifi27l2a expression was further validated in microglial culture, stroke models with microglial depletion, and human autopsy samples. Ifi27l2a is known to be induced by interferons for viral host defense, however the role of Ifi27l2a in neurodegeneration is unknown. In vitro studies in cultured microglia demonstrated that Ifi27l2a overexpression causes neuroinflammation via reactive oxygen species. Interestingly, hemizygous deletion of Ifi27l2a significantly reduced gliosis in the thalamus following stroke, while also reducing neuroinflammation, indicating Ifi27l2a gene dosage is a critical mediator of neuroinflammation in ischemic stroke. Collectively, this study demonstrates that a novel gene, Ifi27l2a, regulates microglial function and neuroinflammation in the aged brain and following stroke. These findings suggest that Ifi27l2a may be a novel target for conferring cerebral protection post-stroke.
Fluorine-Doped M-N-C Catalysts for Efficient Oxygen Reduction Reaction
Authors: Zheng Zhichuan , Hong Xuekun , Wu Dajun , Sun Ning , Kuang Yawei , Zhang Debao , Yao Xiaxi , Du Peng , huang Kai , Lei Ming 
Published: February 2023

Abstract

In recent years, transition metal-nitrogen-carbon (M-N-C) composites are expected to be an alternative to platinum group metal (PGM) among various nonprecious metal catalysts investigated. However, the major challenge comes from insufficient electrocatalytic performance and durability for oxygen reduction reaction (ORR). In addition to the selection of suitable central metal active sites, the electrocatalytic activity and stability of the M-N-C catalysts can be enhanced by adjusting the electronic structure of the catalysts. In this work, M-N-C/F composites were synthesized by loading transition metal phthalocyanine complexes onto pre-fluorinated carbon nanotubes through a simple pyrolysis method. Pyrroline-N(PN) and graphite-N(GN) formed after thermal treatment can act as electron acceptors to modulate their charge distribution on the M-N4 sites, and the use of pre-fluorinated nanotubes also allows for a more controlled introduction of fluoride ions that are well coordinated to transition metals, both of which can modulate and modify the electronic structure of M-N-C catalysts. The obtained manganese phthalocyanine/fluorinated carbon nanotubes at 800°C (MnPc/FCNT800) exhibits a competitive electrocatalytic ORR performance with the half-wave potential (E1/2) of 0.9 V and only 12.1% decay after 20 h long-term chronoamperometry (CA) test in 1.0 M KOH electrolyte, outperforming the commercial Pt/C. Overall, this work paves the way of the electronic structure modification and design of such M-N-C composites for sustainable energy applications.
Efficacy of Netupitant/Palonosetron for Prevention of Chemotherapy-Induced Nausea and Vomiting in Patients Receiving Conditioning Regimens
Authors: Zhang Hang , Zeng Qiang , Dong Tian , Chen Xinchuan , Kuang Pu , Li Jian , Wu Qiuhui , Liu Ting , Niu Ting , Liu Zhigang , Ji Jie 
Published: February 2023

Abstract
Background: Chemotherapy-induced nausea and vomiting (CINV) remains a serious concern for haematological patients, especially for those receiving conditioning regimens. We conducted a retrospective study to evaluate the efficacy of netupitant/palonosetron (NEPA) compared with 5-hydroxytryptamine-3 receptor antagonist (5HT3RA) without additional dexamethasone (DEX) in preventing CINV in patients receiving multiday conditioning regimens.
Methods: Patients undergoing haemopoietic stem cell transplantation at West China Hospital between September 2019 and September 2022 were included and divided into NEPA or 5HT3RA groups. The rates of patients with complete response (CR: no emesis and no use of rescue medication), complete control (CC: CR without significant nausea), no vomiting and no significant nausea were used to assess CINV outcomes.
Results: A total of 213 haematopoietic stem cell transplant (HSCT) patients were included in this study. The percentage of patients with CR was significantly higher in the NEPA group than in the 5HT3RA group during the overall phase (71.7% vs. 32.7%), acute phase (78.3% vs. 43.0%) and delayed phase (84.9% vs. 58.9%). Rates for other outcomes were significantly superior in the NEPA group than in the 5HT3RA group during all phases (p < 0.001).
Conclusion: Our study demonstrated that NEPA was superior to 5HT3RA in preventing CINV during all phases in patients undergoing multiday conditioning regimens.