Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of periodontal treatment on diabetes-related healthcare costs: a retrospective study

Introduction Periodontitis has been considered a sixth complication of diabetes. The aim of this study was to assess the impact of periodontal treatment on diabetes-related healthcare costs in patients with diabetes. Research design and methods A retrospective analysis was done, exploiting unique and large-scale claims data of a Dutch health insurance company. Data were extracted for a cohort of adults who had been continuously insured with additional dental coverage for the years 2012–2018. Individuals with at least one diabetes-related treatment claim in 2012 were included for analysis. A series of panel data regression models with patient-level fixed effects were estimated to assess the impact of periodontal treatment on diabetes-related healthcare costs. Results A total of 41 598 individuals with diabetes (age range 18–100 years; 45.7% female) were included in the final analyses. The median diabetes-related healthcare costs per patient in 2012 were €38.45 per quarter (IQR €11.52–€263.14), including diagnoses, treatment, medication and hospitalization costs. The fixed effect models showed €12.03 (95% CI −€15.77 to −€8.29) lower diabetes-related healthcare costs per quarter of a year following periodontal treatment compared with no periodontal treatment. Conclusions Periodontitis, a possible complication of diabetes, should receive appropriate attention in diabetes management. The findings of this study provide corroborative evidence for reduced economic burdens due to periodontal treatment in patients with diabetes.
Why are Adaptive Methods Good for Attention Models?

While stochastic gradient descent (SGD) is still the \emph{de facto} algorithm in deep learning, adaptive methods like Clipped SGD/Adam have been observed to outperform SGD across important tasks, such as attention models. The settings under which SGD performs poorly in comparison to adaptive methods are not well understood yet. In this paper, we provide empirical and theoretical evidence that a heavy-tailed distribution of the noise in stochastic gradients is one cause of SGD's poor performance. We provide the first tight upper and lower convergence bounds for adaptive gradient methods under heavy-tailed noise. Further, we demonstrate how gradient clipping plays a key role in addressing heavy-tailed gradient noise. Subsequently, we show how clipping can be applied in practice by developing an \emph{adaptive} coordinate-wise clipping algorithm (ACClip) and demonstrate its superior performance on BERT pretraining and finetuning tasks.
Coronavirus disease 2019 (COVID-19) in long-term care facilities: A review of epidemiology, clinical presentations, and containment interventions

Abstract Long-term care facilities (LTCFs) and their populations have been greatly affected by the coronavirus disease 2019 (COVID-19) pandemic. In this review, we summarize the literature to describe the current epidemiology of COVID-19 in LTCFs, clinical presentations and outcomes in the LTCF population with COVID-19, containment interventions, and the role of healthcare workers in SARS-CoV-2 transmission in these facilities.
Dyslipidemia in patients with amyotrophic lateral sclerosis – a case control retrospective study

Abstract Amyotrophic lateral sclerosis (ALS) is a fatal, neurodegenerative disorder leading to quadriplegia and aphagia. While swallowing difficulties and increased energy demand lead to malnutrition, increased lipid concentration may correlate with survival and respiratory functions. Objective: To analyze the frequency and type of dyslipidemias in a large population of clinically characterized ALS patients (PALS). Methods: The retrospective study included clinical and laboratory data of 650 consecutive PALS fulfilling the El Escorial criteria and 365 age- and gender-matched hospital controls. Results: 65% of PALS suffered from dyslipidemia independently of concomitant metabolic diseases. The most frequent lipid disorder was hypercholesterolemia (35% PALS, 25% controls), followed by mixed dyslipidemia (24.6%, 14%), with rare cases of hypertriglyceridemia and atherogenic dyslipidemia. Triacylglycerols (TAG) and LDL/HDL correlated with BMI, while LDL/HDL and total cholesterol (TCh) with disease duration. Among PALS with concomitant metabolic diseases, TCh correlated with disease duration and ALSFRS-R, while TAG with respiratory functions (FVC) in patients without metabolic diseases. The highest median concentration of TCh, LDL and LDL/HDL was found in classic ALS and PMA and the lowest in PBP. Conclusion: Dyslipidemia occurs more frequently in PALS compared to controls and independently of concomitant metabolic diseases. Similar to the general population, the most frequent lipid disturbance is hypercholesterolemia, followed by mixed dyslipidemia. Although particular lipid parameters correlate with BMI and disease duration, they do not show strong correlations with disease progression rate. There is a need of randomized control trials assessing the risk and benefits of the use of lipid lowering agents in ALS.
Beretta barrel fired bullet validation study

A report published in 2016 by the President's Council of Advisors on Science and Technology (PCAST) criticized studies that have been published regarding the discipline of firearm identification. This study was designed to answer some of these criticisms and involved 30 consecutively manufactured Beretta brand 9 mm Luger caliber barrels. This study had an “open set” design to help the discipline of firearm identification establish “Foundational Validity” which is outlined in the PCAST report. Seventy‐two qualified firearm examiners completed and submitted answers for this study that included 15 knowns and 20 unknowns. There were an additional 5 firearms with similar characteristics as the Beretta barrels that were also included as unknowns which provided “known non‐match” comparisons. Test sets were created using the random function in Microsoft Excel. Collaborative Testing Services (CTS) funded, facilitated, distributed the tests, and collected the answers from qualified firearm examiners throughout the United States and the world. Firearm examiners were able to complete the test of fired bullets with a low error rate. The error rate for the corrected data was 0.08% (1 in 1250) with the lower confidence interval as low as 0.01% (1 in 10,000) and the upper confidence interval being as high as 0.4% (1 in 250).
Correlating arterial blood gas, acid–base and blood pressure abnormalities with outcomes in COVID-19 intensive care patients

Background During the outbreak of coronavirus disease 2019 (COVID-19), many studies have investigated laboratory biomarkers in management and prognostication of COVID-19 patients, however to date, few have investigated arterial blood gas, acid–base and blood pressure patterns. The aim of the study is to assess the arterial blood gas and acid–base patterns, blood pressure findings and their association with the outcomes of COVID-19 patients admitted to an intensive care unit. Methods A single-centre retrospective, observational study in a dedicated COVID-19 intensive care unit in Cape Town, South Africa. Admission arterial blood gas, serum electrolytes, renal function and blood pressure readings performed on COVID-19 patients admitted between 26 March and 2 June 2020 were analysed and compared between survivors and non-survivors. Results A total of 56 intensive care unit patients had admission arterial blood gas performed at the time of intensive care unit admission. An alkalaemia (pH > 7.45) was observed in 36 (64.3%) patients. A higher arterial pH (median 7.48 [interquartile range: 7.45–7.51] versus 7.46 [interquartile range: 7.40–7.48], P = 0.049) and partial pressure of oxygen in arterial blood (median 7.9 kPa [interquartile range: 7.3–9.6] versus 6.5 kPa [interquartile range: 5.2–7.3], P = <0.001) were significantly associated with survival. Survivors also tended to have a higher systolic blood pressure (median: 144 mmHg [interquartile range: 134–152] versus 139 mmHg [interquartile range: 125–142], P = 0.078) and higher arterial HCO3 (median: 28.0 mmol/L [interquartile range: 25.7–28.8] versus 26.3 mmol/L [interquartile range: 24.3–27.9], P = 0.059). Conclusions The majority of the study population admitted to intensive care unit had an alkalaemia on arterial blood gas. A higher pH and lower partial pressure of oxygen in arterial blood on arterial blood gas analysis were significantly associated with survival.
CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems

Physics-guided Neural Networks (PGNNs) represent an emerging class of neural networks that are trained using physics-guided (PG) loss functions (capturing violations in network outputs with known physics), along with the supervision contained in data. Existing work in PGNNs has demonstrated the efficacy of adding single PG loss functions in the neural network objectives, using constant tradeoff parameters, to ensure better generalizability. However, in the presence of multiple PG functions with competing gradient directions, there is a need to adaptively tune the contribution of different PG loss functions during the course of training to arrive at generalizable solutions. We demonstrate the presence of competing PG losses in the generic neural network problem of solving for the lowest (or highest) eigenvector of a physics-based eigenvalue equation, which is commonly encountered in many scientific problems. We present a novel approach to handle competing PG losses and demonstrate its efficacy in learning generalizable solutions in two motivating applications of quantum mechanics and electromagnetic propagation. All the code and data used in this work are available at https://github.com/jayroxis/Cophy-PGNN.
Secure Non-Orthogonal Multiple Access: An Interference Engineering Perspective

Non-orthogonal multiple access (NOMA) is an efficient approach that can improve spectrum utilization and support massive connectivity for next-generation wireless networks. However, over a wireless channel, the superimposed NOMA signals are highly susceptible to eavesdropping, potentially leading to severe leakage of confidential information. In this article, we unleash the potential of network interference and exploit it constructively to enhance physi-cal-layer security in NOMA networks. In particular, three different types of network interference, including artificial noise, specifically-designed jamming signals, and inter-user interference, are well engineered to intentionally reduce information leakage while mitigating the effect on signal reception quality of legitimate users, thereby significantly enhancing the transmission security of NOMA. Furthermore, we propose interference engineering strategies for more advanced full-duplex NOMA, intelligent reflecting surface NOMA, cognitive radio NOMA, and multi-cell NOMA networks, and discuss several open research problems and challenges, which could inspire innovative interference engineering designs for secure NOMA communications.
Chemopreventive effect of troxerutin against hydrogen peroxide-induced oxidative stress in human leukocytes through modulation of glutathione-dependent enzymes

ABSTRACT Troxerutin is a natural flavonoid present abundantly in tea, coffee, olives, wheat, and a variety of fruits and vegetables. Due to its diverse pharmacological properties, this flavonoid has aroused interest for treatment of various diseases, and consequently prompted investigation into its toxicological characteristics. The aim of this study was to evaluate the genotoxic and mutagenic effects and chemoprotective activity attributed to troxerutin using human peripheral blood leukocytes (PBLs) through several well-established experimental protocols based upon different parameters. Data demonstrated that troxerutin (100 to 1000 µM) induced no marked cytotoxic effect on PBLs after 24 hr, and did not produce strand breaks and mutagenicity. Regarding chemoprevention, this flavonoid attenuated cytotoxicity, genotoxicity, and mutagenicity initiated by hydrogen peroxide (H2O2) in human PBLs. Further, troxerutin demonstrated no marked cytotoxic effect on PBLs and exerted a protective effect against oxidative stress induced by H2O2 through modulation of GSH-dependent enzymes.
Correlations between lipoprotein(a) gene polymorphisms and calcific aortic valve disease and coronary heart disease in Han Chinese

Objective To investigate the relationship between lipoprotein(a) gene (LPA) polymorphisms and calcific aortic valve disease (CAVD) and coronary heart disease (CHD) in Han Chinese. Methods A total of 148 patients were recruited (n = 71 with CAVD and n = 77 with CHD) based on a diagnosis achieved using color Doppler echocardiography, coronary angiography, or computed tomography angiography. Seventy-one control individuals without CAVD or CHD were also recruited. Biomarkers including levels of lipoprotein(a) [Lp(a)], low-density lipoprotein and high-density lipoprotein cholesterol, apolipoprotein A1, and apolipoprotein B were tested. LPA polymorphisms rs10455872, rs6415084, rs3798221, and rs7770628 were analyzed using SNaPshot SNP. Results Lp(a) levels were significantly higher in CAVD and CHD groups compared with controls. There was no significant difference in the allelic frequency distribution of rs3798221, rs7770628, or rs6415084 between CHD, CAVD, and control groups. Linear regression showed that rs3798221, rs7770628, and rs6415084 were associated with increased Lp(a) concentrations. Two CAVD patients among the 219 participants carried AG minor alleles at rs10455872, while the remainder carried AA minor alleles. Conclusion rs3798221, rs6415084, and rs7770628 polymorphisms within LPA are associated with higher Lp(a) plasma levels, which correlate with increased CAVD and CHD risks.
Regulation of polarity development in hepatocytes : a novel role for oncostatin M

Plasma membranes of epithelial cells consist of two domains, an apical and a basolateral domain, the surfaces of which differ in composition. The separation of these domains by a tight junction and the fact that specific transport pathways exist for intracellular communication between these domains and distinct intracellular compartments relevant to cell polarity development, has triggered extensive research on issues that focus on how polarity is generated and maintained. Apart from proper assembly of tight junctions, their potential functioning as landmark for the transport machinery, cell-cell adhesion is obviously instrumental in barrier formation. In recent years, distinct endocytic compartments, defined as subapical compartment or common endosome were shown to play a prominent role in regulating membrane trafficking to and from the polarized membrane domains. Sorting devices remain to be determined but likely include distinct rab proteins, and evidence is accumulating to indicate that signaling events may direct intracellular membrane transport, intimately involved in the biogenesis and maintenance of polarized membrane domains and hence the development of cell polarity.
DPRL Systems in the CLEF 2020 ARQMath Lab

This paper describes the participation of the Document and Pattern Recognition Lab from the Rochester Institute of Technology in the CLEF 2020 ARQMath lab. There are two tasks deﬁned for ARQ-Math: (1) Question Answering, and (2) Formula Retrieval. Four runs were submitted for Task 1 using systems that take advantage of text and formula embeddings. For Task 2, three runs were submitted: one uses only formula embedding, another uses formula and text embeddings, and the ﬁnal one uses formula embedding followed by re-ranking results by tree-edit distance. The Task 2 runs yielded strong results, the Task 1 results were less competitive.
Elucidation of molecular mechanisms that may contribute to polyphenol-induced effects on neutrophil chemokinesis

iii Uittreksel.v Acknowledgements.vii List of Tables and Figures.xi List of Abbreviations. xiii Units of Measure. xvi 1. CHAPTER 1: INTRODUCTION . 1 2. CHAPTER 2: LITERATURE REVIEW . 3 2.
SARS-CoV-2 infection fatality rate among elderly retired Danish blood donors - A cross-sectional study.

BACKGROUND Despite the vast majority of individuals succumbing to infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are elderly, infection fatality rate (IFR) estimates for the age group 70 years older are still scarce. To this end we assessed SARS-CoV-2 seroprevalence among retired blood donors and combined it with national COVID-19 survey data to provide reliable population-based IFR estimates for this age group. METHODS We identified 60,926 retired blood donors age 70 years or older in the rosters of three region-wide Danish blood banks and invited them to fill in a questionnaire on COVID-19 related symptoms and behaviours. Among 24,861 (40.8%) responders, we invited a random sample of 3,200 individuals for blood testing. Overall, 1,201 (37.5%) individuals were tested for SARS-CoV-2 antibodies (Wantai) and compared to 1,110 active blood donors age 17-69 years. Seroprevalence 95% confidence intervals (CI) were adjusted for assay sensitivity and specificity. RESULTS Among retired (age 70 years or older) and active (age 17-69 years) blood donors, adjusted seroprevalences were 1.4% (95% CI: 0.3%-2.5%) and 2.5% (95% CI: 1.3%-3.8%), respectively. Using available population data on COVID-19 related fatalities, IFRs for patients age 70 years or older and for 17-69 years were estimated at 5.4% (95% CI: 2.7%-6.4%) and 0.083% (95% CI: 0.054%-0.18%), respectively. Only 52.4% of SARS-CoV-2 seropositive retired blood donors reported having been sick since the start of the pandemic. CONCLUSION COVID-19 IFR in the age group above 69 years is estimated to be 65 times as high as the IFR for people age 18-69 years.
Exploring moderators of mirror exposure on pre- to post changes in body image outcomes: Systematic review and meta-analysis

ABSTRACT Purpose Mirror exposure (ME) is embedded within cognitive behavioral treatment of body image concern (BIC), and existing literature demonstrates its potential value as a BIC intervention. The purpose of the study is to provide a meta-analytic review of ME effects on attitudinal and behavioral BIC. Methods Twelve studies met inclusion criteria, yielding six between-group and 18 within-group comparisons. Results Random effects models demonstrated a medium effect of ME versus control conditions, on attitudinal BIC, from pre- to immediate posttreatment, small effect at follow-up (1 to 4 weeks posttreatment), and large effect on behavioral BIC pre- to immediate posttreatment. However, small sample sizes yielded nonsignificant findings and significant heterogeneity. Exploratory moderator analyses–ME type, ME dosage (session frequency, duration), and diagnosis–demonstrated that, among single group pre-post designs, higher ME dosage may be instrumental to pre-posttreatment improvements. Consistent with this finding, individual studies with high dosages of ME demonstrated the largest effect sizes. Conclusion: Results may suggest a strong ME effect on BIC at high dosages (>120 minutes). The current review highlights gaps in ME literature and the need for future clinical trials assessing ME, using a priori, high-quality research designs that further the understanding of ME’s mechanisms of change.
Cationic contrast‐enhanced computed tomography distinguishes between reparative, degenerative, and healthy equine articular cartilage

Cationic contrast‐enhanced computed tomography (CECT) is a quantitative imaging technique that characterizes articular cartilage, though its efficacy in differentiating repair tissue from other disease states is undetermined. We hypothesized that cationic CECT attenuation will distinguish between reparative, degenerative, and healthy equine articular cartilage and will reflect biochemical, mechanical, and histologic properties. Chondral defects were created in vivo on equine femoropatellar joint surfaces. Within defects, calcified cartilage was retained (Repair 1) or removed (Repair 2). At sacrifice, plugs were collected from within defects, and at locations bordering (adjacent site) and remote to defects along with site‐matched controls. Articular cartilage was analyzed via CECT using CA4+ to assess glycosaminoglycan (GAG) content, compressive modulus (E eq), and International Cartilage Repair Society (ICRS) II histologic score. Comparisons of variables were made between sites using mixed model analysis and between variables with correlations. Cationic CECT attenuation was significantly lower in Repair 1 (1478 ± 333 Hounsfield units [HUs]), Repair 2 (1229 ± 191 HUs), and adjacent (2139 ± 336 HUs) sites when compared with site‐matched controls (2587 ± 298, 2505 ± 184, and 2563 ± 538 HUs, respectively; all p < .0001). Cationic CECT attenuation was significantly higher at remote sites (2928 ± 420 HUs) compared with Repair 1, Repair 2, and adjacent sites (all p < .0001). Cationic CECT attenuation correlated with ICRS II score (r = .79), GAG (r = .76), and E eq (r = .71; all p < .0001). Cationic CECT distinguishes between reparative, degenerative, and healthy articular cartilage and highly correlates with biochemical, mechanical, and histological tissue properties.
Adolescent Gender Identity, Sexual Orientation, and Cannabis Use: Potential Mediations by Internalizing Disorder Risk

Background/Aims Adolescents who identify as nonbinary gender or as not heterosexual report higher levels of mental illness than their counterparts. Cannabis use is a commonly employed strategy to cope with mental illness symptoms among adolescents; however, cannabis use can have many deleterious health consequences for youth. Within the frame of minority stress theory, this study investigates the relationships between gender identity and sexual orientation, internalizing disorder symptoms, and cannabis use among adolescents. Method A national cross-sectional survey of a generalizable sample of high school students in Canada from the 2017 wave (N = 15,191) of the Cancer Risk Assessment in Youth Survey was analyzed in spring 2019. Mediation analyses were completed to examine risk of internalizing disorder symptoms as a potential mediator of the association between (1) gender identity and (2) sexual orientation, and cannabis use. Results Indirect effects in all models show significantly higher levels of reported internalizing disorder symptoms for female (OR = 3.44, 95% CI [2.84, 4.18]) and nonbinary gender (OR = 3.75, 95% CI [2.16, 6.51]) compared with male students. Sexual minority adolescents had higher odds of internalizing disorder risk relative to non–sexual minority adolescents (OR = 3.13, 95% CI [2.63, 3.74]). Students who reported higher rates of internalizing disorder symptoms were more likely to have ever used cannabis. Patterns of partial mediation are also present among all groups. Discussion/Conclusions Findings can be used to better inform mental health interventions for adolescents. Future study should explore specific mental health stressors of vulnerable adolescent groups with respect to cannabis use as a coping mechanism.