Miracle-dz/UniFAR-FTUs huggingface dataset:
Interaction between Shift Work and Established Coronary Risk Factors

Background: Shift work is associated with increased risk of cardiovascular disease, but the causes have not yet been fully established. It has been proposed that the coronary risk factors are more hazardous for shift workers, resulting in a potential interaction effect with shift work. Objective: To analyse interaction effects of work schedule and established risk factors for coronary artery disease on the risk of myocardial infarction. Methods: This analysis was conducted in SHEEP/VHEEP, a case-control study conducted in two counties in Sweden, comprising all first-time cases of myocardial infarction among men and women 45–70 years of age with controls stratified by sex, age, and hospital catchment area, totalling to 4648 participants. Synergy index (SI) was used as the main outcome analysis method for interaction analysis. Results: There was an interaction effect between shift work and physical inactivity on the risk of myocardial infarction with SI of 2.05 (95% CI 1.07 to 3.92) for male shift workers. For female shift workers, interaction effects were found with high waist-hip ratio (SI 4.0, 95% CI 1.12 to 14.28) and elevated triglycerides (SI 5.69, 95% CI 1.67 to 19.38). Conclusion: Shift work and some established coronary risk factors have significant interactions.
Exosomes: Nanoparticles Involved in Cardioprotection?

Exosomes are nanosized lipid vesicles released from cells. They are capable of transferring proteins, mRNA, and miRNA between cells and, therefore, represent a potential means of intercellular communication. Exosomes can be proangiogenic and may have cardioprotective properties. In contrast, their larger cousins, microvesicles, seem to have generally detrimental effects that are prothrombotic and proinflammatory. Exosomes are released from multivesicular bodies via an exocytic pathway and have the potential for cell-specific targeting. This normal process is hijacked during various pathological conditions, such as cancer, viral infection, and amyloidopathies. We assess the evidence for a role of exosomes and microvesicles in normal cardiovascular physiology, as well as during cardiovascular disease. In addition to offering a potential source of cardiovascular biomarkers, exosomes may offer a nonimmunogenic means of manipulating the heart.
Linear Current Flow Equations With Application to Distribution Systems Reconfiguration

Conventionally, power flow equations are used for distribution systems (DS) analysis to find the nodal voltages. For the particular form of the DS reconfiguration problem, however, a direct formulation in terms of branch flows allows a substantial increase in solution efficiency from an optimization point of view. In this paper, a set of linear current flow (LCF) equations are derived for DS. This formulation is then used within the network reconfiguration problem for loss minimization. A mixed-integer quadratically constrained programming (MIQCP) formulation, together with a mixed-integer linear programming (MILP) formulation, are proposed in this paper and assessed through simulations. In these comparisons, the MILP formulation shows computational advantages over the MIQCP version and the preceding literature. The proposed methods are evaluated on several test systems.
From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales

Computer simulations of electrical behaviour in the whole ventricles have become commonplace during the last few years. The goals of this article are (i) to review the techniques that are currently employed to model cardiac electrical activity in the heart, discussing the strengths and weaknesses of the various approaches, and (ii) to implement a novel modelling approach, based on physiological reasoning, that lifts some of the restrictions imposed by current state-of-the-art ionic models. To illustrate the latter approach, the present study uses a recently developed ionic model of the ventricular myocyte that incorporates an excitation–contraction coupling and mitochondrial energetics model. A paradigm to bridge the vastly disparate spatial and temporal scales, from subcellular processes to the entire organ, and from sub-microseconds to minutes, is presented. Achieving sufficient computational efficiency is the key to success in the quest to develop multiscale realistic models that are expected to lead to better understanding of the mechanisms of arrhythmia induction following failure at the organelle level, and ultimately to the development of novel therapeutic applications.
Am I a Baller? Basketball Performance Assessment from First-Person Videos

This paper presents a method to assess a basketball player's performance from his/her first-person video. A key challenge lies in the fact that the evaluation metric is highly subjective and specific to a particular evaluator. We leverage the first-person camera to address this challenge. The spatiotemporal visual semantics provided by a first-person view allows us to reason about the camera wearer's actions while he/she is participating in an unscripted basketball game. Our method takes a player's first-person video and provides a player's performance measure that is specific to an evaluator's preference. To achieve this goal, we first use a convolutional LSTM network to detect atomic basketball events from first-person videos. Our network's ability to zoom-in to the salient regions addresses the issue of a severe camera wearer's head movement in first-person videos. The detected atomic events are then passed through the Gaussian mixtures to construct a highly non-linear visual spatiotemporal basketball assessment feature. Finally, we use this feature to learn a basketball assessment model from pairs of labeled first-person basketball videos, for which a basketball expert indicates, which of the two players is better. We demonstrate that despite not knowing the basketball evaluator's criterion, our model learns to accurately assess the players in real-world games. Furthermore, our model can also discover basketball events that contribute positively and negatively to a player's performance.
Exams? Why worry? Interpreting anxiety as facilitative and stress appraisals

Background and Objectives: The present study examined why people differ in how they appraise the same stressful situation (an approaching exam). Design: We explored whether interpreting anxiety as a facilitative emotion can affect the type of stress appraisal people make. Method: One hundred and three undergraduate students took part in this study, which lasted for 10 days (leading up to an exam). The students completed a daily self-reported evaluation of anxiety, emotional exhaustion, and stress experienced. Results: The findings suggest a process by which a stressful time can be experienced as motivating rather than threatening or emotionally exhausting. For example, interpreting anxiety as facilitative moderated the relationship between anxiety and stress appraisals. When interpreting their anxiety as facilitative, individuals showed a higher tendency to make challenge stress appraisals and a lower tendency to appraising the stressor as a threat. These differences were especially visible with high levels of anxiety. Furthermore, interpreting anxiety as facilitative was negatively associated with emotional exhaustion, but positively associated with the academic performance. Conclusions: These findings suggest an explanation why people differ in how they appraise the same stressor: how people interpret their anxiety may to a large part affect how they appraise difficult events and situations.
Selfish Routing on the Internet

In large-scale communication networks, like the Internet, it is usually impossible to globally manage network traffic. In the absence of global control it is typically assumed in traffic modeling that network users follow the most rational approach, that is, they behave selfishly to optimize their own individual welfare. This motivates the analysis of network traffic using models from Game Theory in which each player is aware of the situation facing all other players and tries to minimize its cost. Under these assumptions, the routing process should arrive into a so-called Nash equilibrium in which no network user has an incentive to change its strategy. It is well known (and easy to see) that Nash equilibria do not always optimize the overall performance of the system. In this survey we investigate the relation between these two notions for traffic routing: network performance in the Nash equilibria and the optimal performance of the system. Our main focus is on the analysis of the coordination ratio, which is the ratio between the worst possible Nash equilibrium and the overall optimum. In other words, this analysis seeks the price of uncoordinated selfish decisions (“the price of anarchy”). ∗Research supported in part by NSF grant CCR-0105701.
Infiltrating mast cells increase prostate cancer chemotherapy and radiotherapy resistances via modulation of p38/p53/p21 and ATM signals

Early studies indicated that mast cells in prostate tumor microenvironment might influence prostate cancer (PCa) progression. Their impacts to PCa therapy, however, remained unclear. Here we found PCa could recruit more mast cells than normal prostate epithelial cells then alter PCa chemotherapy and radiotherapy sensitivity, leading to PCa more resistant to these therapies. Mechanism dissection revealed that infiltrated mast cells could increase p21 expression via modulation of p38/p53 signals, and interrupting p38-p53 signals via siRNAs of p53 or p21 could reverse mast cell-induced docetaxel chemotherapy resistance of PCa. Furthermore, recruited mast cells could also increase the phosphorylation of ATM at ser-1981 site, and inhibition of ATM activity could reverse mast cell-induced radiotherapy resistance. The in vivo mouse model with xenografted PCa C4-2 cells co-cultured with mast cells also confirmed that mast cells could increase PCa chemotherapy resistance via activating p38/p53/p21 signaling. Together, our results provide a new mechanism showing infiltrated mast cells could alter PCa chemotherapy and radiotherapy sensitivity via modulating the p38/p53/p21 signaling and phosphorylation of ATM. Targeting this newly identified signaling may help us better suppress PCa chemotherapy and radiotherapy resistance.
Sequence analysis of Camelus dromedarius milk caseins

αs1-, αs2-, β- and κ-caseins from Somali camels (Camelus dromedarius) were purified by acid precipitation at pH 4·4, crudely separated into an α-CN and a β-CN fraction and further purified by reversed-phase HPLC. Fragments of tryptic digests were sequenced. Amino acid patterns obtained were used to screen a cDNA library constructed from mRNA from lactating udder tissue. Full length clones corresponding to the four caseins were sequenced. The numbers of residues in the sequences deduced were αs1-CN 207, αs2-CN 178, β-CN 217, κ-CN 162. Percentage similarity to bovine proteins was αs1-CN A 39, αs2-CN 56, β-CN 64, κ-CN 56. Acid-precipitated casein of pooled milk was separated by reversed-phase HPLC and monitored at 220 nm, and its composition, estimated from peak integration, was (g/kg total casein) αs1-CN 220, αs2-CN 95, β-CN 650, κ-CN 35. Degrees of phosphorylation and glycosylation were determined by laser ionization mass spectrometry and sequence pattern analysis. Molecular masses determined were (kDa) αs1-CN A, 24·755 and 24·668; αs1-CN B, 25·293; αs2-CN 21·993; β-CN, 24·900; κ-CN 22·294–22·987. The pH values of the most probable isoelectric points were: αs1-CN A 6P 4·41, αs1-CN B 6P 4·40, αs2-CN 9P 4·58, β-CN 4P 4·66, κ-CN 1P, with ten sialic acid residues bound, 4·10.
Tooth Sensitivity in Fluorotic Teeth

Objectives: The aim of this study was to compare the demographic and clinical features of tooth sensitivity (TS) in subjects with and without fluorosis. Methods: A total of 2249 subjects (378 subjects with fluorosis and 1871 subjects without fluorosis) were examined for TS during a study period of one year and TS was determined in 122 subjects. The level of TS was evaluated on a visual analogue scale (VAS). The sensitivity evaluation was made by applying tactile and cold air stimuli. In teeth sensitive to any stimuli, the plaque index (PI), gingival index (GI), gingival recession (GR) and periodontal pocket depth (PPD) were recorded. Fluorosis was assessed using the Dean Index. Results: One hundred and twenty-two participants were found to have TS (5.42%). The frequency of TS in subjects with fluorosis was 9.26%, while the frequency of TS in subjects without fluorosis was 4.65%. There was a statistically significant difference between the groups in terms of TS frequency (P=0.0003). In contrast, there were no significant differences between the groups for periodontal parameters except PI. Conclusions: The results of the study showed that the subjects with fluorosis may have been suffering from TS more than the subjects with normal dentition. Further studies are necessary to determine the factors that contribute to sensitivity of teeth with fluorosis.
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network

The effects of social influence and homophily suggest that both network structure and node-attribute information should inform the tasks of link prediction and node-attribute inference. Recently, Yin et al. [2010a, 2010b] proposed an attribute-augmented social network model, which we call Social-Attribute Network (SAN), to integrate network structure and node attributes to perform both link prediction and attribute inference. They focused on generalizing the random walk with a restart algorithm to the SAN framework and showed improved performance. In this article, we extend the SAN framework with several leading supervised and unsupervised link-prediction algorithms and demonstrate performance improvement for each algorithm on both link prediction and attribute inference. Moreover, we make the novel observation that attribute inference can help inform link prediction, that is, link-prediction accuracy is further improved by first inferring missing attributes. We comprehensively evaluate these algorithms and compare them with other existing algorithms using a novel, large-scale Google+ dataset, which we make publicly available (&rbreve;lhttp://www.cs.berkeley.edu/∼stevgong/gplus.html).
Activity Schedule And Anticipation Training As Counselling Strategies In Managing Mild-depression Among Nigerian Adolescents

This study investigated the impact of Activity Schedule and Anticipation Training as counselling strategies in managing mild depression among Nigerian adolescents. Six Senior Secondary Schools were randomly selected from three Education Districts in Lagos State. The total population of SS 2 students available for the study in the six schools was 2,982. To select the participants for the study, The Self-Rating Depression Scale (SDS) was administered to assess the cognitive, affective, psychomotor, somatic and social interpersonal dimensions of depression in the students. The SDS has a test-retest reliability coefficient of 0.93, showing good stability. After the baseline assessment, the total sample for the study comprised 96 participants. The sample accommodated all the characteristics of participants in terms of age and gender from the senior secondary schools chosen for the study. The two counselling techniques (Activity Schedule AS and Anticipation Training AT) were effective in managing mild depression (lack of concentration, feelings of guilt and worthlessness, persistent sad and empty moods). There was no significant gender difference in the post-test scores of participants across the three experimental conditions. Key words: Mild depression, Activity Schedule Therapy and Anticipation
The occurrence of zoonotic parasites in rural dog populations from northern Portugal.

A survey of intestinal parasites in dogs was carried out in a rural region around Cantanhede, in northern Portugal, where 301 dog faecal samples were collected from small-ruminant farms. Saturated salt flotation and formol-ether sedimentation techniques were used. An enquiry was conducted in 234 farms and a risk factor evaluation for zoonotic helminths was determined among the 195 farmers who owned dogs. The overall parasite prevalence in faecal samples of dogs was 58.8%, with specific prevalences for Ancylostomidae being 40.9% followed by species of Trichuris (29.9%), Toxocara (8%), Isospora (4%), Capillaria (0.7%) and Spirometra (0.3%). Taeniidae eggs were present in five samples (1.7%) which were analysed with the polymerase chain reaction (PCR) technique and revealed to be from Taenia sp. , and not Echinococcus granulosus. This rural region has a traditional small-farm system, in which farm products are mainly for in-house consumption and home slaughtering is a current practice (57%). Analysis showed home slaughtering to be a statistically significant risk factor for the presence of Ancylostomidae (P= 0.007) and Toxocara sp. (P= 0.049). Owning cattle was found to be a significant risk factor for Taenia sp. (P= 0.031).
Prelabour rupture of membranes: overview of diagnostic methods

Purpose of review To evaluate diagnostic accuracy studies for rupture of the fetal membranes (ROM). Recent findings Sample sizes of recent studies are small and studies used different ‘silver standard’ definitions for ROM. Therefore, reported results should be interpreted with caution. Over the review period the focus of diagnostic studies has been on two bedside test strips: insulin-like growth factor-binding protein-1 (IGFBP-1) and placental &agr; microglobulin-1 (PAMG-1). Bedside tests improve the confidence of the clinician about their diagnosis. Compared to nitrazine or ferning test alone, IGFBP-1 and PAMG-1 are more accurate. However, compared to the conventional testing (combination of history, ferning, nitrazine, speculum and ultrasound) no statistical difference in accuracy was found. In-vitro PAMG-1 is shown to be superior to IGFPB-1. Furthermore, soluble intercellular adhesion molecule-1 and Axl receptor tyrosine kinase (Axl) seem to be promising new specific biomarkers for diagnosing ROM. Summary IGFBP-1 and PAMG-1 are the most commonly used bedside tests for diagnosing ROM. Both tests seem to be sensitive and specific, however, evidence is lacking especially in equivocal cases and comparative studies against the real gold standard (amnio-dye) have still not been published. Further effectiveness research is needed before tests can be applied in practice.
An Exploration of the Leisure Reading Habits and Attitudes of Eighth-Grade Students

The purpose of my study was to explore common factors that may have contributed to young adolescents developing or not developing a love for reading. In order to do this, I developed three research questions. 1) How many eighth grade students in my study identify themselves as readers or non-readers? 2) For those who identify themselves as readers or non-readers, what are some common factors reported including friends, family, reading habits, and leisure activities? 3) Are there any differences between the social environment of readers and non-readers? Through a primarily qualitative study (which also includes some quantitative measures) I questioned eighth grade students about their leisure reading attitudes and habits. My goal was to identify those who engage in leisure reading and those who do not. With this information, I looked for common factors to see if there were any trends among either group (readers or non-readers) which may have contributed to those in that group choosing or not choosing to read leisurely. The findings and implications from this study would benefit those in the education field including teachers, librarians, principals, parents, and students.
Reinforcement Learning Based Real-Time Wide-Area Stabilizing Control Agents to Enhance Power System Stability

In this paper, the design of a network of real-time close-loop wide-area decentralized power system stabilizers (WD-PSSs) is investigated. In this approach, real-time wide-area measurement data are processed and utilized to design a set of stability agents based on a Reinforcement Learning (RL) method. Recent technological breakthroughs in wide-area measurement system (WAMS) make the use of the system-wide signals possible in designing power system controllers. The main design objectives of these controllers are to stabilize the system after severe disturbances and mitigate the oscillations afterward. The proposed stability agents are decentralized and autonomous. The proposed method extends the stability boundary of the system and achieves the above goals without losing any generator or load area and without any knowledge of the disturbances causing the response. This paper describes the developed framework and addresses different challenges in designing such a network. A case study is provided to illustrate and verify the performance and robustness of the proposed approach.
Diagnostic Benefit of Thyroglobulin Measurement in Fine-Needle Aspiration for Diagnosing Metastatic Cervical Lymph Nodes from Papillary Thyroid Cancer: Correlations with US Features

Objective Our goals were to determine the added value of fine-needle aspiration biopsy (FNAB)-thyroglobulin (Tg) measurements over FNAB-cytology alone for diagnosing metastatic nodes, and to determine whether the ultrasound features of lymph nodes can be used to identify lymph nodes that may benefit from FNAB-Tg measurement in patients with papillary thyroid cancer. Materials and Methods We retrospectively evaluated 76 surgically proven cervical lymph nodes. Twenty-nine patients were awaiting surgery and 18 patients had undergone thyroid surgery for papillary thyroid cancer. Ultrasound-guided FNAB and Tg measurements were performed and the ultrasound features were evaluated. Results The accuracies, sensitivities, and specificities of FNAB-cytology, FNAB-Tg, and combined FNAB-Tg/cytology were 90%, 80%, and 100%; 92%, 95%, and 90%; and 93%, 96%, and 90%, respectively. The diagnostic sensitivity of FNAB-Tg for metastatic nodes was significantly higher than that of FNAB-cytology (p = 0.011). Furthermore, combined FNAB-Tg/cytology significantly increased sensitivity (p = 0.002) and accuracy (p = 0.03) as compared with FNAB-cytology. Conclusion Combined FNAB-Tg/cytology is significantly more sensitive and accurate at detecting metastatic nodes than FNAB-cytology alone. FNAB-Tg was better at diagnosing metastases in small lymph nodes.
Analysis and Control of Modular Multilevel Converters With Integrated Battery Energy Storage

Multilevel converters and battery energy storage systems are key components in present and future medium voltage networks, where an important integration of renewable energy sources takes place. The modular multilevel converter offers the capability of embedding such energy storage elements in a split manner, given the existence of several submodules operating at significantly lower voltages. This paper analyzes such a converter structure under different operating modes. In order to eliminate the low-frequency components of the submodule output currents, the latter are interfaced to the batteries by means of nonisolated dc/dc converters. Control algorithms are developed for the balancing of the battery state of charges and the respective gain limitations are established. Unbalanced grid conditions are also taken into account through the theory of symmetrical components and solutions are proposed. Finally, the development of a down-scaled prototype is described and experimental results are presented.