bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of shielding during the COVID-19 pandemic on mental health: evidence from the English Longitudinal Study of Ageing
Authors: Di Gessa Giorgio , Price Debora 
Published: April 2022

BackgroundDuring the COVID-19 pandemic, older and clinically vulnerable people were instructed to shield or stay at home. Policies restricting social contact and human interaction pose a risk to mental health, but we know very little about the impact of shielding and stay-at-home orders on the mental health of older people.AimsTo understand the extent to which shielding contributes to poorer mental health.MethodWe used longitudinal data from wave 9 (2018/2019) and two COVID-19 sub-studies (June/July 2020; November/December 2020) of the English Longitudinal Study of Ageing, and constructed logistic and linear regression models to investigate associations between patterns of shielding during the pandemic and mental health, controlling for sociodemographic characteristics, pre-pandemic physical and mental health, and social isolation measures.ResultsBy December 2020, 70% of older people were still shielding or staying at home, with 5% shielding throughout the first 9 months of the pandemic. Respondents who shielded experienced worse mental health. Although prior characteristics and lack of social interactions explain some of this association, even controlling for all covariates, those shielding throughout had higher odds of reporting elevated depressive symptoms (odds ratio 1.87, 95% CI 1.22–2.87) and lower quality of life (β = −1.28, 95% CI −2.04 to −0.52) than those who neither shielded nor stayed at home. Shielding was also associated with increased anxiety.ConclusionsShielding seems associated with worse mental health among older people, highlighting the need for policy makers to address the mental health needs of those who shielded, both in the current pandemic and for the future.
Changes in Type 2 Diabetes Trends in Children and Adolescents During the COVID-19 Pandemic
Authors: Schmitt Jessica A , Ashraf Ambika P , Becker David J , Sen Bisakha 
Published: April 2022

Abstract

Context
There is concern that the growing incidence of pediatric type 2 diabetes (T2D) may have been further exacerbated by the COVID-19 pandemic.

Objective
To examine whether trends in new-onset pediatric T2D—inclusive of patients requiring hospitalization and patients managed as outpatients—were impacted during the COVID-19 pandemic, and to compare patient characteristics prior to and during COVID-19.

Methods
A retrospective single-center medical record review was conducted in a hospital which cares for 90% of Alabama’s pediatric T2D patients. Patients with new-onset T2D referred from March 2017 to March 2021 were included. Counts of patients presenting per month (“monthly rates”) were computed. Linear regression models were estimated for the full sample and stratified by Medicaid and non-Medicaid insurance status. Patient characteristics prior to vs during COVID-19 were compared.

Results
A total of 642 patients presented with new-onset T2D over this period. Monthly rates were 11.1 ± 3.8 prior to COVID-19 and 19.3 ± 7.8 during COVID-19 (P = .004). Monthly rates for Medicaid patients differed prior to and during COVID-19 (7.9 ± 3.4 vs 15.3 ± 6.6, P = .003) but not for non-Medicaid patients (3.3 ± 1.7 vs 4.0 ± 2.4, P = .33). Regression results showed significant increases in monthly rates during COVID-19 for the full sample (β= 5.93, P &lt; .05) and for Medicaid enrollees (β= 5.42, P &lt; .05) Hospitalization rate, severity of obesity, and hemoglobin A1c remained similar prior to and during COVID-19, though the proportion of male patients increased from 36.8% to 46.1% (P = .021).

Conclusions
A rise in new-onset T2D was observed among Alabama’s youth during the COVID-19 pandemic, a burden that disproportionately affected Medicaid enrollees and males. Future research should explore the pathways through which the pandemic impacted pediatric T2D.
P2P lending platforms in Malaysia: What do we know?
Authors: Nguyen Lan Thi Phuong , Kalabeke Wisdom , Muthaiyah Saravanan , Cheng Ming Yu , Hui Kwan Jing , Mohamed Hazik 
Published: April 2022

Background - With the recent evolution of Financial Technology (FinTech), 11 peers to peer (P2P) lending platforms have been regulated by the Securities Commission in Malaysia since 2016. P2P lending platforms offer new investment opportunities to individual investors to earn higher rates on return than what traditional lenders usually provide. However, individual investors may face higher potential risks of default from their borrowers. Therefore, individual investors need to understand the potential exposure to such P2P lending platforms to make an effective investment decision. This study aims to explore the potential risk exposures that individual investors may experience at Malaysia's licensed P2P lending platforms. Methods - Based on data collected manually from nine P2P lending platforms over five months, relationships between interest rates and various risk classifying factors such as credit rating, industry, business stage, loan purpose, and loan duration are examined. Results- This study shows that loans with a similar credit rating and with or without similar loan purpose; and a business stage may offer investors significantly different interest rates. In addition, loans with shorter durations may provide investors with higher interest rates than those with longer durations. Finally, loans issued by companies from the same industry appeared to be charged with similar interest. These findings are valuable to investors to prepare themselves before making their investments at the P2P lending platforms. Conclusion- With first hand-collected data, this study provides an original insight into Malaysia's current P2P lending platforms. Findings obtained for relationships between interest rates and risk classifying factors such as credit rating, industry, business stage, loan purpose and loan duration are valuable to investors of Malaysian P2P lending platforms.
Assessment of serum testosterone, estradiol, and progesterone levels in female patients with acne vulgaris
Authors: Nguyen Phu Cuong , Nguyen Hoang Van , Vu Van Tien , Pham Van Tran , Tran Dang Quyet , Nguyen Thanh Tung 
Published: April 2022

Introduction: Acne is a chronic inflammatory disorder of the pilosebaceous unit with differential pathogenesis. To elucidate the roles of hormones in acne pathogenesis, we conducted a study to evaluate the serum testosterone, estradiol, progesterone levels in women with acne vulgaris. Methods: We conducted a cross-sectional descriptive study, and 175 women with acne vulgaris were examined; their serum estradiol, progesterone, testosterone were analyzed by chemiluminescence technique and compared with the healthy control group. Results: Increased serum hormone levels in women with acne vulgaris were accounted for 29.7%, and hyperandrogenism was accounted for 16.0% of cases. We found significant differences in testosterone levels (mean value, 55.67±25.56 versus 38.37±10.16 ng/dL, p<0.05) respectively in the acne group and the control group. However, the estradiol level of the acne group (323.15±93.31 pmol/L) was lower than the control group (370.94±58.88 pmol/L) with p<0.05). No statistically significant differences were found for progesterone (0.60±0.38 versus 0.50±0.15 ng/mL, p>0.05) levels. Moreover, we did not find the relationship between serum hormone levels and the severity of acne vulgaris. Conclusion: This study showed that the female acne vulgaris patients may have high serum testosterone levels and low serum estradiol levels compared with those of female controls. However, hormone alterations had no correlation with the acne grades.
Integral Column Generation for Set Partitioning Problems with Side Constraints
Authors: Tahir Adil , Desaulniers Guy , El Hallaoui Issmail 
Published: April 2022

The integral column generation algorithm (ICG) was recently introduced to solve set partitioning problems involving a very large number of variables. This primal algorithm generates a sequence of integer solutions with decreasing costs, leading to an optimal or near-optimal solution. ICG combines the well-known column generation algorithm and a primal algorithm called the integral simplex using decomposition algorithm (ISUD). In this paper, we develop a generalized version of ICG, denoted I2CG, that can solve efficiently large-scale set partitioning problems with side constraints. This new algorithm can handle the side constraints in the reduced problem of ISUD, in its complementary problem, or in both components. Computational experiments on instances of the airline crew pairing problem (CPP) and the multidepot vehicle routing problem with time windows show that the latter strategy is the most efficient one and I2CG significantly outperforms basic variants of two popular column generation heuristics, namely, a restricted master heuristic and a diving heuristic. For the largest tested CPP instance with 1,761 constraints, I2CG can produce in less than one hour of computational time more than 500 integer solutions leading to an optimal or near-optimal solution. Summary of Contribution: In this paper, we develop a new integral column generation algorithm that can solve efficiently large-scale set partitioning problems with side constraints. The latter alter the quasi-integrality property needed for primal integral algorithms. The paper adds a methodological contribution remedying this issue. This remedy should, in our opinion, boost the use of primal exact methods, especially in the column generation context. The paper also has a computational contribution. Effectively, computational experiments on instances of the airline crew pairing problem and the multidepot vehicle routing problem with time windows are extensively discussed. We compare the proposed algorithm to basic variants of two popular column generation heuristics.
Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp
Authors: Zhang Mengxia , Luo Lan 
Published: April 2022

Despite the substantial economic impact of the restaurant industry, large-scale empirical research on restaurant survival has been sparse. We investigate whether consumer-posted photos can serve as a leading indicator of restaurant survival above and beyond reviews, firm characteristics, competitive landscape, and macroconditions. We employ machine learning techniques to extract features from 755,758 photos and 1,121,069 reviews posted on Yelp between 2004 and 2015 for 17,719 U.S. restaurants. We also collect data on restaurant characteristics (e.g., cuisine type, price level) and competitive landscape as well as entry and exit (if applicable) time from each restaurant’s Yelp/Facebook page, own website, or Google search engine. Using a predictive XGBoost algorithm, we find that consumer-posted photos are strong predictors of restaurant survival. Interestingly, the informativeness of photos (e.g., the proportion of food photos) relates more to restaurant survival than do photographic attributes (e.g., composition, brightness). Additionally, photos carry more predictive power for independent, young or mid-aged, and medium-priced restaurants. Assuming that restaurant owners possess no knowledge about future photos and reviews, photos can predict restaurant survival for up to three years, whereas reviews are only predictive for one year. We further employ causal forests to facilitate the interpretation of our predictive results. Among photo content variables, the proportion of food photos has the largest positive association with restaurant survival, followed by proportions of outside and interior photos. Among others, the proportion of photos with helpful votes also positively relates to restaurant survival. This paper was accepted by Juanjuan Zhang, marketing. Funding: The authors thankNvidia and Clarifai for supporting this research. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2022.4359 .
Explaining Excess Entry in Winner-Take-All Markets
Authors: Laferrière Vincent , Staubli David , Thöni Christian 
Published: April 2022

We report experimental data from standard market entry games and winner-take-all games. At odds with traditional decision-making models with risk aversion, the winner-take-all condition results in substantially more entry than the expected-payoff-equivalent market entry game. We explore three candidate explanations for excess entry: blind spot, illusion of control, and joy of winning, none of which receive empirical support. We provide a novel theoretical explanation for excess entry based on cumulative prospect theory and test it empirically. Our results suggest that excess entry into highly competitive environments is not caused by a genuine preference for competing, but is instead driven by probability weighting. Market entrants overweight the small probabilities associated with the high payoff outcomes in winner-take-all markets, while they underweight probable failures. This paper was accepted by Yan Chen, behavioral economics and decision analysis. Funding: This work was supported by the Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung [Grants 100018_182185 and 26022621] and the Dr. h.c. Emil Zaugg-Fonds [Grant B11162135]. Supplemental Material: The data files and e-companion are available at https://doi.org/10.1287/mnsc.2022.4397 .
Automatic initial configuration in off-axis reflective optical system design using combined nodal and Seidel aberration
Authors: Qu Zheng , Zhong Xing , Zhang Kun , Li Lei , Wang Yuanhang 
Published: April 2022

Currently, an off-axis reflective optical system is designed always from a coaxial initial system, and good imaging performance depends heavily on the choice of good initial configurations. This paper first establishes an imaging-performance evaluation function of the off-axis initial configuration based on nodal aberration theory and Seidel aberration theory. An automatic optimization method of the off-axis initial configuration using the global simulated annealing algorithm is proposed. Two design examples of off-axis three-mirror reflective optical systems are used to demonstrate the effectiveness and simplicity based on the initial configuration design method. Example 1: a series of optical systems with a large

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field of view (FOV) is quickly and simply implemented using simple surfaces, and the optical systems exhibit perfect imaging quality. Example 2: starting from the good automatic initial configurations, two larger

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FOV optical systems with focal lengths of 500 mm and

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-numbers of five are designed, resulting in good imaging performance and providing a valuable design reference.
Diagnostic method-based underestimation of leptospirosis in clinical and research settings; an experience from a large prospective study in a high endemic setting
Authors: Warnasekara Janith , Srimantha Shalka , Kappagoda Chamila , Jayasundara Dinesha , Senevirathna Indika , Matthias Michael , Agampodi Suneth , Vinetz Joseph M. 
Published: April 2022

Background
Leptospirosis has globally significant human mortality and morbidity, yet estimating the clinical and public health burden of leptospirosis is challenging because timely diagnosis remains limited. The goal of the present study was to evaluate leptospirosis undercounting by current standard methods in both clinical and epidemiological study settings.

Methodology/Principal findings
A prospective hospital-based study was conducted in multiple hospitals in Sri Lanka from 2016 to 2019. Culture, whole blood, and urine samples were collected from clinically suspected leptospirosis cases and patients with undifferentiated fever. Analysis of biological samples from 1,734 subjects confirmed 591 (34.1%) cases as leptospirosis and 297 (17.1%) were classified as “probable” leptospirosis cases. Whole blood quantitative PCR (qPCR) did identify the most cases (322/540(60%)) but missed 40%. Cases missed by each method include; urine qPCR, 70% (153/220); acute sample microscopic agglutination test (MAT), 80% (409/510); paired serum sample MAT, 58% (98/170); and surveillance clinical case definition, 53% (265/496). qPCR of negative culture samples after six months of observation was of diagnostic value retrospectively with but missed 58% of positives (109/353).

Conclusion
Leptospirosis disease burden estimates should consider the limitations of standard diagnostic tests. qPCR of multiple sample types should be used as a leading standard test for diagnosing acute leptospirosis.
Cardiovascular correlates of sleep apnea phenotypes: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)
Authors: Wu Benson , Tarraf Wassim , Wallace Douglas M. , Stickel Ariana M. , Schneiderman Neil , Redline Susan , Patel Sanjay R. , Gallo Linda C. , Mossavar-Rahmani Yasmin , Daviglus Martha L. , Zee Phyllis C. , Talavera Gregory A. , Sotres-Alvarez Daniela , González Hector M. , Ramos Alberto 
Published: April 2022

BackgroundIdentifying Obstructive Sleep Apnea (OSA) phenotypes among middle-aged and older Hispanics/Latinos can facilitate personalized care, better inform treatment decisions, and could lead to improved clinical outcomes.MethodsWe focused on middle-aged and older adults (ages ≥45–74 years at baseline) with an apnea-hypopnea index (AHI) ≥5 from the HCHS/SOL (2008–2011) (unweighted n = 3,545). We used latent class analyses (LCA) to identify empirical and clinically meaningful OSA phenotypes. Sleep variables included AHI, percent sleep time SpO2<90%, Epworth Sleepiness Scale (ESS), Women’s Health Initiative Insomnia Rating Scale (WHIIRS) score, self-reported average sleep duration, restless legs symptoms, napping frequency, and self-reported sleep quality. We used survey logistic and Poisson regression to test the associations between our OSA phenotypes and prevalent and incident cardiovascular measures (cardiovascular disease, heart failure, Stroke/TIA, hypertension, diabetes, and the Framingham Cardiovascular Risk Score).ResultsAverage AHI, ESS, WHIIRS, and sleep duration were 18.1±19.5, 6.3±6.1, 7.4±6.6, and 7.8±1.7 hours, respectively, and 2.9% had zero percent time SpO2 <90%. We identified a three-class solution that clustered individuals into (1)insomnia OSA(44.3%), (2)asymptomatic mild OSA, (36.2%) and (3)symptomatic OSA(19.5%). Elevated WHIIRS and AHI scores primarily drove classification into groups one and three, respectively. In covariate adjusted models, OSA phenotypes were differentially associated with prevalence (baseline and seven years later) and incidence of cardiovascular measures.ConclusionsOSA subtypes in diverse U.S. Hispanic/Latino adults have different cardiovascular complications. More targeted research, that takes these variations into account, could help ameliorate Hispanic/Latino sleep and cardiovascular health disparities.
CXCR2 signaling might have a tumor-suppressive role in patients with cholangiocarcinoma
Authors: Yamamoto Yurie , Sugimoto Atsushi , Maruo Koji , Tsujio Gen , Sera Tomohiro , Kushiyama Shuhei , Nishimura Sadaaki , Kuroda Kenji , Togano Shingo , Eguchi Shinpei , Tanaka Ryota , Kimura Kenjiro , Amano Ryosuke , Ohira Masaichi , Yashiro Masakazu 
Published: April 2022

Background
We reported that chemokine C-X-C motif receptor 2 (CXCR2) signaling appears to play an important role in the pathogenic signaling of gastric cancer (GC), and although CXCR2 may have a role in other solid cancers, the significance of CXCR2 in cholangiocarcinoma (CCA) has not been evaluated. Herein, we determined the clinicopathologic significance of CXCL1-CXCR2 signaling in CCA.

Materials and methods
Two human CCA cell lines, OCUG-1 and HuCCT1, were used. CXCR2 expression was examined by western blotting. We investigated the effects of CXCL1 on the proliferation (by MTT assay) and migration activity (by a wound-healing assay) of each cell line. Our immunohistochemical study of the cases of 178 CCA patients examined the expression levels of CXCR2 and CXCL1, and we analyzed the relationship between these expression levels and the patients’ clinicopathologic features.

Results
CXCR2 was expressed on both CCA cell lines. CXCL1 significantly inhibited both the proliferative activity and migratory activity of both cell lines. CXCL1 and CXCR2 were immunohistochemically expressed in 73% and 18% of the CCA cases, respectively. The CXCL1-positive group was significantly associated with negative lymph node metastasis (p = 0.043). The CXCR2-positive group showed significantly better survival (p = 0.042, Kaplan-Meier). A multivariate logistic regression analysis revealed that CXCR2 expression (p = 0.031) and lymph node metastasis (p = 0.004) were significantly correlated with the CCA patients’ overall survival.

Conclusion
CXCR2 signaling might exert a tumor-suppressive effect on CCA cells. CXCR2 might be a useful independent prognostic marker for CCA patients after surgical resection.
Investigation in physicochemical characteristics of jujube (Ziziphus jujuba Mill.) extract cake
Authors: GHARAVI Hojjat , DAVOODI Mehdi , GHAVIDELl Reihaneh Ahmadzadeh 
Published: April 2022

In spite of freshly eaten, Jujube (Ziziphus jujuba Mill.) might be dried or processed into confectionary recipes in cakes, as one of the important products in food industries. The experiment was conducted based on complete randomized design with three replications. Treatments were control and three levels of jujube extraction (2, 4, and 6 percent) which added to cake’s formulation and sampling in different time periods. In the present study, the process of baking was in four steps. First of all, dried jujube fruit was mixed with water and its brix was reached 15 using direct heat. In the second step, a final brix of 60 was obtained by rotary evaporator. Then, appropriate amounts of egg, sugar, yogurt, oil, 2, 4, or 6 % jujube extract was mixed using a blender. Finally, baking powder, flour, and vanilla were mixed and the mixture was placed in the oven set at 160 °C for 20 minutes. Physicochemical analysis showed that the cakes containing 4 and 6 % of jujube extract were the best treatments at all time periods. However, analyze of sensational test results revealed that especially panelists evaluations that 6 percentage extract sample was significantly different from the others.
Performance and genetic diversity of some sesame (Sesamum indicum L.) accessions based on morpho-agronomic traits and seed proximate composition in Kwara State of Nigeria
Authors: ANIMASAUN David Adedayo , OYEDEJI Stephen , MUSA Latifat Bukola , ADEDIBU Peter Adeolu , ADEKOLA Olabisi Fatimo 
Published: April 2022

This study evaluates eleven sesame accessions in Nigeria for performance and genetic diversity using morpho-agronomic traits, chlorophyll contents and nutrient composition in a complete randomized experimental design with five replicates. The results showed ‘Igboho Black’, ‘02M’ and ‘Kenan 4’ had the best growth attributes. Although ‘NGB0090’ and ‘Exsudan’ matured early, ‘E8’, ‘Bogoro Local’ and ‘Kenan 4’ had the best yield attributes. Seeds produced were predominantly milky-white, an accession had black seeds, while three produced white seeds. Plant height positively correlated with number of leaves and leaf area as well as peduncle length. Days to 50 % flowering positively correlates with days to maturity. So also the number of capsule per plant, capsule dimension and seeds per capsule. The moisture content in seeds of the accessions was < 3.5 %, ash (4.5-5.9 %), crude protein (5.3-7.4 %), fat and oil (53.6-60.5 %), and carbohydrate < 30 %. Out of the eight components that accounted for the observed variations, the PC-1 and PC-2 contributed 65.42 %. The dendrogram revealed that ‘NGB00960’ and ‘NGB00963’ which had ‘’Kenan 4’ as a distant member are the closest relatives, while ‘NGB00390’ and ‘01M’ are the most diverse. The study concludes that the accessions are genetically and phenotypically varied and the existing diversity can be harnessed for selecting high yielding and adaptable variety for the development of improved cultivars.