bluuebunny/crossref_metadata_2025_split huggingface dataset:
Financial hardship during the COVID-19 pandemic and increased receipt of commercial tobacco discount coupons among US adults who use commercial tobacco
Authors: Zarei Kasra , Hamilton-Moseley Kristen R , Chen-Sankey Julia , Phan Lilianna , Ajith Aniruddh , Hacker Kiana , Jewett Bambi , Choi Kelvin 
Published: June 2023

IntroductionMany individuals experienced financial hardship during the COVID-19 pandemic; yet commercial tobacco (CT) sales increased in the USA. We examined how experiencing financial hardships relates to increased CT discount coupon reception during the pandemic.MethodsA nationally representative sample of 1700 US adults who used CT during the 12 months prior to the survey were surveyed online during January to February 2021. Participants reported if they had received more discount coupons for various CT products during (compared with before) the pandemic. They also reported whether they experienced six different types of financial hardships since the pandemic, and the total number of hardships experienced was counted. Weighted multivariable logistic regressions were used to examine the associations between financial hardships and increased coupon reception, adjusting for demographics and CT product use.ResultsDuring the first 10–11 months of the pandemic, 21.3% of US adults who used CT during the 12 months prior to the survey reported receiving more CT discount coupons. Experiencing financial hardship during the pandemic was associated with higher odds of receiving more coupons for all types of CT products: every additional count of financial hardship was associated with higher odds of increased reception of discount coupons for all CT products (adjusted odds ratios ranging from 1.13 to 1.23 across products).ConclusionsOver one-fifth of US adults who used CT received more discount coupons during the pandemic. Those facing financial hardships had higher discount coupon reception, suggesting potential targeted marketing to financially vulnerable individuals by the tobacco industry.
More on the first-order thermodynamics of scalar-tensor and Horndeski gravity
Authors: Faraoni Valerio , Houle Julien 
Published: June 2023

AbstractTwo issues in the first-order thermodynamics of scalar-tensor (including “viable” Horndeski) gravity are elucidated. The application of this new formalism to FLRW cosmology is shown to be fully legitimate and then extended to all Bianchi universes. It is shown that the formalism holds thanks to the almost miraculous fact that the constitutive relations of Eckart’s thermodynamics are satisfied, while writing the field equations as effective Einstein equations with an effective dissipative fluid does not contain new physics.
A polynomial invariant of Kauffman type for knotoids II
Authors: Miyazawa Yasuyuki 
Published: June 2023

In this paper, we construct a polynomial invariant of Kauffman type for kd([Formula: see text])-linkoids and compute the polynomials for knotoids with up to three crossings. As a consequence, it is shown that the polynomial is different from the previous one in [Y. Miyazawa, A polynomial invariant of Kauffman type for knotoids, preprint].
Incentive-Aware Decentralized Data Collaboration
Authors: Wang Yatong , Wu Yuncheng , Chen Xincheng , Feng Gang , Ooi Beng Chin 
Published: June 2023

Data collaboration enables multiple parties to pool data for deriving meaningful data insights. However, data misuse and unlawful data collection have led to precautionary measures being imposed by individual organizations to guide against data leakage and abuse. As a response, decentralized federated learning (DFL) has emerged as an attractive paradigm to facilitate data collaboration while being amenable to privacy-preserving data and knowledge sharing, cost reduction, and prediction accuracy improvement. Unfortunately, the participating parties in DFL tend to be heterogeneous with skew datasets and uneven capabilities. Inevitably, training and transmission costs, and the presence of free-riders pose challenges to the adoption and participation of DFL. The absence of centralized parameter servers further exacerbates the problem of evaluating the contribution of each individual party. Therefore, an effective incentive mechanism is essential to promote data collaboration.
In this paper, we propose a novel Incentive-aware Decentralized fEderated leArning (IDEA) framework for facilitating data collaboration. Specifically, we first design a customizable reward scheme for heterogeneous parties to optimize their respective objectives such as higher model accuracy, communication efficiency, and computational efficiency. To reward fairly to deserving parties while offering flexibility, we propose a novel multi-agent reinforcement learning (MARL) incentive mechanism, which enables heterogeneous parties to learn their own optimal collaboration policy. We then design an efficient decentralized data collaboration algorithm that supports the customizable reward scheme based on individual objective-specific collaboration policy. We theoretically prove that the algorithm achieves a Nash equilibrium, which ensures the fairness of the corresponding rewards for parties. We conduct extensive experiments to evaluate the performance of our proposed framework against four baselines on five real-world datasets. The results show that IDEA outperforms state-of-the-art methods in terms of effectiveness, efficiency, and accumulated reward.
Using Cloud Functions as Accelerator for Elastic Data Analytics
Authors: Bian Haoqiong , Sha Tiannan , Ailamaki Anastasia 
Published: June 2023

Cloud function (CF) services, such as AWS Lambda, have been applied as the new computing infrastructure in implementing analytical query engines. For bursty and sparse workloads, CF-based query engine is more elastic than the traditional query engines running in servers, i.e., virtual machines (VMs), and might provide a higher performance/price ratio. However, it is still controversial whether CF services are good suites for general analytical workloads, in respect of the limitations of CFs in storage, network, and lifetime, as well as the much higher resource unit prices than VMs.
In this paper, we first present micro-benchmark evaluations of the features of CF and VM. We reveal that for query processing, though CF is more elastic than VM, it is less scalable and is more expensive for continuous workloads. Then, to get the best of both worlds, we propose Pixels-Turbo - a hybrid query engine that processes queries in a scalable VM cluster by default and invokes CFs to accelerate the processing of unpredictable workload spikes. In the query engine, we propose several optimizations to improve the performance and scalability of the CF-based operators and a cost-based optimizer to select the appropriate algorithm and parallelism for the physical query plan. Evaluations on TPC-H and real-world workload show that our query engine has a 1-2 orders of magnitude higher performance/price ratio than state-of-the-art serverless query engines for sustained workloads while not compromising the elasticity for workload spikes.
PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba
Authors: Wang Jianying , Li Tongliang , Song Haoze , Yang Xinjun , Zhou Wenchao , Li Feifei , Yan Baoyue , Wu Qianqian , Liang Yukun , Ying ChengJun , Wang Yujie , Chen Baokai , Cai Chang , Ruan Yubin , Weng Xiaoyi , Chen Shibin , Yin Liang , Yang Chengzhong , Cai Xin , Xing Hongyan , Yu Nanlong , Chen Xiaofei , Huang Dapeng , Sun Jianling 
Published: June 2023

Cloud-native databases have become the de-facto choice for mission-critical applications on the cloud due to the need for high availability, resource elasticity, and cost efficiency. Meanwhile, driven by the increasing connectivity between data generation and analysis, users prefer a single database to efficiently process both OLTP and OLAP workloads, which enhances data freshness and reduces the complexity of data synchronization and the overall business cost.
In this paper, we summarize five crucial design goals for a cloud-native HTAP database based on our experience and customers' feedback, i.e., transparency, competitive OLAP performance, minimal perturbation on OLTP workloads, high data freshness, and excellent resource elasticity. As our solution to realize these goals, we present PolarDB-IMCI, a cloud-native HTAP database system designed and deployed at Alibaba Cloud. Our evaluation results show that PolarDB-IMCI is able to handle HTAP efficiently on both experimental and production workloads; notably, it speeds up analytical queries up to ×149 on TPC-H (100GB). PolarDB-IMCI introduces low visibility delay and little performance perturbation on OLTP workloads (<5%), and resource elasticity can be achieved by scaling out in tens of seconds.
Predicting 1-Year Mortality in Outpatients With Heart Failure With Reduced Left Ventricular Ejection Fraction: Do Empiric Models Outperform Physician Intuitive Estimates? A Multicenter Cohort Study
Authors: Alba Ana C. , Buchan Tayler A. , Saha Sudipta , Fan Steve , Demers Catherine , Poon Stephanie , Mak Susanna , Al-Hesayen Abdul , Toma Mustafa , Zieroth Shelley , Anderson Kim , Porepa Liane , Chih Sharon , Giannetti Nadia , Rac Valeria , Levy Wayne C. , Ross Heather J. , Guyatt Gordon H. 
Published: June 2023

BACKGROUND:
Many studies have demonstrated that physicians often err in estimating patient prognosis. No studies have directly compared physician to model predictive performance in heart failure (HF). We aimed to compare the accuracy of physician versus model predictions of 1-year mortality.

METHODS:
This multicenter prospective cohort study on 11 HF clinics in 5 provinces in Canada included consecutive consented outpatients with HF with reduced left ventricular ejection fraction (<40%). By collecting clinical data, we calculated predicted 1-year mortality using the Seattle HF Model (SHFM), the Meta-Analysis Global Group in Chronic HF score, and the HF Meta-Score. HF cardiologists and family doctors, blinded to model predictions, estimated patient 1-year mortality. During 1-year follow-up, we recorded the composite end point of mortality, urgent ventricular assist device implant, or heart transplant. We compared physicians and model discrimination (C statistic), calibration (observed versus predicted event rate), and risk reclassification.

RESULTS:
The study included 1643 patients with ambulatory HF with a mean age of 65 years, 24% female, and mean left ventricular ejection fraction of 28%. Over 1-year follow-up, 9% had an event. The SHFM had the best discrimination (SHFM C statistic 0.76; HF Meta-Score 0.73; Meta-Analysis Global Group in Chronic Heart Failure 0.70) and calibration. Physicians’ discrimination differed little (0.75 for HF cardiologists and 0.73 for family doctors) but both physician groups substantially overestimated risk by >10% in both low- and high-risk patients (poor calibration). In risk reclassification analysis, among patients without events, the SHFM better classified 51% in comparison to HF cardiologists and 43% in comparison to family doctors. In patients with events, the SHFM erroneously assigned lower risk to 44% in comparison to HF cardiologists and 34% in comparison to family doctors.

CONCLUSIONS:
Family doctors and HF cardiologists showed adequate risk discrimination, with however substantial overestimation of absolute risk. Predictive models showed higher accuracy. Incorporating models in family and HF cardiology practices may improve patient care and resource use in HF with reduced left ventricular ejection fraction.

REGISTRATION:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT04009798.
An Environmental and Climate History of the Roman Expansion in Italy
Authors: Bernard Seth , McConnell Joseph , Di Rita Federico , Michelangeli Fabrizio , Magri Donatella , Sadori Laura , Masi Alessia , Zanchetta Giovanni , Bini Monica , Celant Alessandra , Trentacoste Angela , Lodwick Lisa , Samuels J. Troy , Lippi Marta Mariotti , Bellini Cristina , Paparella Claudia , Peralta Dan-el Padilla , Tan James , van Dommelen Peter , De Giorgi Andrea U. , Cheung Caroline 
Published: June 2023

Abstract
A first synthesis of available data for the period of Rome’s expansion in Italy (about 400–29 b.c.e.) shows the role of climate and environment in early Roman imperialism. Although global indices suggest a warmer phase with relatively few short-term climate events occuring around the same time as the expansion, local data emphasize the highly variable timing and expression of these trends. This variability casts doubt on ideas of a unitary, historically consequential “Roman Warm Period.” The historical importance of climate and environment to socioeconomic development merits emphasis, but should be understood in terms of evolving, contingent forms of resilience and risk-mitigating behavior by Italian communities during Roman expansion.
Nehalennia and the Marsaci
Authors: Mees Bernard 
Published: June 2023

Abstract
The goddess Nehalennia is known principally from two sanctuaries in Zeeland that have been dated to the late second and early third centuries. Variously explained as a Celtic or Germanic theonym, Nehalennia may best be understood in terms of the evidence of other names associated with Roman Zeeland. The Nehalennia sanctuaries are both situated in an area that seems likely to have fallen within the Roman civitas named for the Belgic Menapi, but the cult of Nehalennia appears likely to have been an originally Germanic development before it became more widely adopted by all manner of merchants who traded through the ports in the area. The theonym appears to record similar phonological developments to names recorded of Marsacian soldiers stationed in Roman Britain and Nehalennia accordingly appears to have been a goddess of the Marsaci.
Otto II. von Freising, Barlaam und Josaphat (Der Laubacher Barlaam)
Authors: Jeep John M. 
Published: June 2023

Abstract
“Barlaam und Josaphat,” probably written around or just after 1200 by Otto II Bischoff of Freising, contains 36 alliterating word-pairs, here collected and analyzed philologically for the first time, including comparison with earlier attestations of the pairs in German. The data include seven pairs recorded in “Barlaam and Josaphat” for the first time, and add to the over 1,500 word pairs documented here and in earlier studies for the earlier phases of German, while attesting to Otto’s propensity to use this rhetorical device in this work.
Investigating the potential associated factors and developing a risk model for interstitial lung disease in Chinese patients with systemic lupus erythematosus
Authors: Liu Yuan , Lu Fuai , Liao Hongli , Wang Le , Lu Pei 
Published: June 2023

Objective This study aimed to explore the risk factors for interstitial lung disease (ILD) in Chinese patients with systemic lupus erythematosus (SLE). Patients and methods This study recruited 40 SLE patients with ILD (SLE-ILD) and 40 SLE patients without ILD (SLE-non-ILD). Clinical data were collected from all patients, including basic clinical characteristics, affected organ systems, biochemical indexes, autoantibodies, and immunocytes. Results Compared with the SLE-non-ILD patients, SLE-ILD patients presented older age ( p < 0.001), dry cough ( p = 0.006), “velcro-like” crackles ( p = 0.021), Raynaud’s phenomenon ( p = 0.040), elevated complement 3 (C3) level ( p = 0.044), and lower SLE disease activity index score ( p = 0.013) and cluster of difference-3 cell count ( p = 0.043). Multivariate logistic regression analysis showed that older age ( p < 0.001, odds ratio [OR]: 1.212), female sex ( p = 0.022, OR: 37.075), renal involvement ( p = 0.011, OR: 20.039), C3 level ( p = 0.037, OR: 63.126), immunoglobulin (Ig) M level ( p = 0.005, OR: 5.082), and positive anti-U1 small ribonucleoprotein antibody (anti-nRNP) result ( p = 0.003, OR: 19.886) were independent ILD risk factors in SLE patients. Consequently, the ILD risk model in patients with SLE was constructed based on statistically significant variables from the multivariate logistic regression analysis, which significantly correlated with ILD risk, with an area under the curve of 0.887 (95% confidence interval: 0.815–0.960) using receiver operating characteristic curve analysis. Conclusion Age, female sex, renal involvement, C3 level, IgM level, and a positive anti-nRNP result are independent risk factors for ILD. Furthermore, their combination model is closely associated with an increased ILD risk in Chinese patients with SLE.
Colonic mucosal diffuse congestion associated with Osimertinib
Authors: Ren Xiao-Jun , Lei Ming-Hong , Cheng Ying-Xia , Luo Yun 
Published: June 2023

Introduction Non-small cell lung cancer (NSCLC) is the most common histological subtype of lung cancer. Osimertinib has been recommended as first-line treatment of advanced NSCLC with EGFR mutations. Previous studies have only reported cases of gastrointestinal bleeding due to Erlotinib and gefitinib, but to date, always no cases of gastrointestinal bleeding due to Osimertinib have been reported. Case Report We report a case of a female patient with NSCLC with EFGR mutation. After 1.5 years of treatment with Osimertinib, a colonoscopy showed diffuse congestion of the colonic mucosa. Management and Outcome The patient’s symptoms of blood in the stool disappeared, after stopping Osimertinib and giving mucosal protection treatment for 1 week. Discussion Osimertinib may have contributed to gastrointestinal bleeding because no recurrent bleeding was observed after discontinuation of treatment. Physicians and patients should be aware that osimertinib may increase the risk of gastrointestinal bleeding.
Antioxidant Potential and Improvement Activities ofSterculia setigeraDelile on Insulin Resistance in Type 2 Diabetic Rats Induced by High-Fat Diet and Low Dose of Streptozotocin
Authors: Tchoubou Zacharie , Koubala Benoît Bargui , Ndjonka Dieudonné 
Published: June 2023

BackgroundS. setigera is widely used in traditional medicine throughout the world. Ethnobotanical surveys have revealed its use to handle diabetes. This present research investigated the antioxidant potential and improvement activities of S. setigera Delile on insulin resistance in type 2 diabetic rats.MethodsMale rats fed high-fat diet for 6 weeks followed by a single-dose intraperitoneal injection of streptozotocin (35 mg/kg) induced hyperglycemia. 72 hours after injection of streptozotocin, diabetic rats received treatment for 21 days. Fasting blood glucose was measured. Serum biochemical and hepatic biomarkers were evaluated. A hepatic histological study was performed. Oxidative stress biomarkers were assessed in liver.ResultsDoses of 200 and 400 mg/kg reduced the blood glucose with the reduction index of 53.75 and 62.1%, respectively. There was also good improvement in lipid profile and insulin. The dose of 400 mg/kg better reduced subcutaneous fat mass with a difference in reduction index (1.5 to 5.8%). The extract resulted in a decrease in malondialdehyde levels and an increase in catalase activities. The extract showed significant inhibitory potential towards α-amylase 18.78% to 55.91% and α-glucosidase 23.91% to 67.76%.ConclusionS. setigera extract could thus reverse insulin resistance and oxidative stress in type 2 diabetic rats induced.
Duloxetine prevents bortezomib and paclitaxel large-fiber chemotherapy-induced peripheral neuropathy (LF-CIPN) in sprague dawley rats
Authors: Mansooralavi Niloufar , Khomula Eugen V , Levine Jon D 
Published: June 2023

Chemotherapy-induced peripheral neuropathy (CIPN) is a debilitating, treatment-limiting, side-effect of several classes of chemotherapy drugs. While negatively impacting oncology patients’ quality of life, chemotherapy-induced large-fiber (LF) neuropathy is amongst the least well understood components of CIPN, and one for which there is currently no established therapy. Preliminary clinical observations have led to the suggestion that Duloxetine, which is used for the treatment of pain associated with small-fiber CIPN (SF-CIPN), may be effective against LF-CIPN. In the present experiments we developed a model of LF-CIPN and studied the effect of Duloxetine on LF-CIPN induced by two neurotoxic chemotherapy agents: the proteasome inhibitor, Bortezomib, a first-line treatment of multiple myeloma; and, the anti-microtubule taxane, Paclitaxel, used in the treatment of solid tumors. Since there are currently no models for selective the study of LF-CIPN, our first aim was to establish a pre-clinical model in the rat. LF-CIPN was evaluated with the Current Perception Threshold (CPT) assay, which uses a high frequency (1000 Hz) electrical stimulus protocol that selectively activates large-fiber myelinated afferents. Our second aim was to use this model to test the hypothesis that Duloxetine can prevent LF-CIPN. We report that Bortezomib and Paclitaxel induce elevation of CPT, compatible with loss of large-fiber function, which are prevented by Duloxetine. Our findings support the clinical observation that Duloxetine may be an effective treatment for the large-fiber CIPN. We also suggest that CPT could be used as a biomarker for LF-CIPN in patients receiving neurotoxic chemotherapy.
Outcomes of patients with pre-existing disability managed by mobile stroke units: A sub-analysis of the BEST-MSU study
Authors: Pirlog Bianca O , Jacob Asha P , Rajan Suja S , Yamal Jose-Miguel , Parker Stephanie A , Wang Mengxi , Bowry Ritvij , Czap Alexandra , Bratina Patti L , Gonzalez Michael O , Singh Noopur , Zou Jinhao , Gonzales Nicole R , Jones William J , Alexandrov Anne W , Alexandrov Andrei V , Navi Babak B , Nour May , Spokoyny Ilana , Mackey Jason , Silnes Kelly , Fink Matthew E , Pisarro Sherman Carla , Willey Josh , Saver Jeffrey L , English Joey , Barazangi Nobl , Ornelas David , Volpi Jay , PV Rao Chethan , Griffin Laura , Persse David , Grotta James C 
Published: June 2023

Background: Few data exist on acute stroke treatment in patients with pre-existing disability (PD) since they are usually excluded from clinical trials. A recent trial of mobile stroke units (MSUs) demonstrated faster treatment and improved outcomes, and included PD patients. Aim: To determine outcomes with tissue plasminogen activator (tPA), and benefit of MSU versus management by emergency medical services (EMS), for PD patients. Methods: Primary outcomes were utility-weighted modified Rankin Scale (uw-mRS). Linear and logistic regression models compared outcomes in patients with versus without PD, and PD patients treated by MSU versus standard management by EMS. Time metrics, safety, quality of life, and health-care utilization were compared. Results: Of the 1047 tPA-eligible ischemic stroke patients, 254 were with PD (baseline mRS 2–5) and 793 were without PD (baseline mRS 0–1). Although PD patients had worse 90-day uw-mRS, higher mortality, more health-care utilization, and worse quality of life than non-disabled patients, 53% returned to at least their baseline mRS, those treated faster had better outcome, and there was no increased bleeding risk. Comparing PD patients treated by MSU versus EMS, 90-day uw-mRS was 0.42 versus 0.36 (p = 0.07) and 57% versus 46% returned to at least their baseline mRS. There was no interaction between disability status and MSU versus EMS group assignment (p = 0.67) for 90-day uw-mRS. Conclusion: PD did not prevent the benefit of faster treatment with tPA in the BEST-MSU study. Our data support inclusion of PD patients in the MSU management paradigm.