Miracle-dz/UniFAR-FTUs huggingface dataset:
Health Benefits of Whey: A Brief Review

Whey is a by-product of cheese and chhana/ paneer manufacture. It contains whey proteins, enzymes, glycomacropeptides, lactose, and minerals. Milk contains two types of protein, the caseins and the whey proteins. Whey proteins are the group of milk proteins that remain soluble in milk serum or whey after precipitation of caseins during processing. This group includes β-Lactoglobulin, -Lactalbumin, serum albumin, immunoglobulins, lactoferrin and proteose-peptone fractions. The biological components of whey demonstrate a range of immune-enhancing properties. In addition, whey has the ability to act as an antioxidant, antihypertensive, antitumor, hypolipidemic, antiviral, antibacterial, and chelating agent. Wide range of functional properties of whey proteins improve consumer acceptance of the food products. The most common whey products available in market are the concentrate or the isolate. Whey protein is an excellent protein choice for individuals of all ages to maintain and improve their health. This is a brief review of the research conducted worldwide emphasizing the health benefits of the whey. conducted a study on a group of 20 healthy adult males to investigate whether a fermented milk supplement with an added whey protein concentrate would affect serum lipids and blood pressure. The fermented milk contained both Lactobacillus casei and Streptococcus thermophilus. During the course of eight weeks, volunteers consumed 200 mL of fermented milk with whey protein concentrate or a placebo in the morning and evening. The placebo consisted of a non-fermented milk product without the addition of whey protein concentrate. After eight weeks, the fermented-milk group showed significantly higher HDLs and lower triglycerides and systolic blood pressure than did the placebo group. While total cholesterol and LDL levels were lower in the fermented-milk group, the difference was not statistically significant. double-blinded, randomized, 3-way–crossover, controlled Forty-two 2 × 28 g whey protein/day, 2 × 28 g Ca caseinate/day, 2 × 27 g maltodextrin (control)/day for 8 wk separated by a 4 week washout. Significant reductions in 24-h BP [for systolic blood pressure (SBP): −3.9 mm Hg; for diastolic blood pressure (DBP): −2.5 mm Hg were observed after whey-protein consumption compared with control intake. After All all Two small studies have been conducted on and There with supplementation in former study effect. Both studies note improvement quality Treatment groups received 1.0 g/kg daily bovine-derived whey protein
A study on users' privacy perception with smart devices

Nowadays, privacy has become a very serious issue with smart and mobile platforms. Users tend to allow intrusive apps access much sensible information without really knowing the potential threats. To solve this issue several solutions (e.g. GDPR) have been provided. Our claim is that the users currently are not sufficiently involved in this process for being able to use such solutions. To do this we developed an application that provides a form of awareness to the users and we asked them to reply a set of questions. Our conclusions are that users must be better informed of the risks and value of their personal information.
National Consensus Project Clinical Practice Guidelines for Quality Palliative Care Guidelines, 4th Edition.

BACKGROUND The goal of the 4th edition of the National Consensus Project Clinical Practice Guidelines for Quality Palliative Care (NCP Guidelines) is to improve access to quality palliative care for all people with serious illness regardless of setting, diagnosis, prognosis, or age. OBJECTIVE The NCP Guidelines are intended to encourage and guide healthcare organizations and clinicians (including nonpalliative care specialists) across the care continuum to integrate palliative care principles and best practices into their routine assessment and care of all seriously ill patients and their family caregivers. METHODS The NCP Guidelines formalize and delineate evidence-based processes and practices for the provision of safe and reliable high-quality palliative care for adults, children, and families with serious illness in all care settings. RESULTS This article presents the key domains and guidelines of the 4th edition.
Pharmacy Competencies for Interprofessional Integrative Health Care Education

Objective. To address the gap in evidence-based knowledge among pharmacy students and practicing pharmacists regarding complementary and integrative health approaches due to insufficient education and a lack of standardized training. Methods. The National Center for Integrative Primary Healthcare (NCIPH) developed 22 pharmacy competencies linked to a set of 10 interprofessional “metacompetencies” in integrative health care. Results. The NCIPH pharmacy competencies are well-aligned with the current educational standards and Center for the Advancement of Pharmacy Education (CAPE) outcomes for pharmacy programs. Therefore, the NCIPH competencies may provide a foundation for the incorporation of interprofessional integrative health care education into pharmacy curricula. Conclusion. The NCIPH pharmacy competencies in integrative health care, linked to the interprofessional “metacompetencies,” are aligned with educational standards and outcomes, and may serve as a basis for pharmacy curriculum.
Dependency-based Hybrid Trees for Semantic Parsing

We propose a novel dependency-based hybrid tree model for semantic parsing, which converts natural language utterance into machine interpretable meaning representations. Unlike previous state-of-the-art models, the semantic information is interpreted as the latent dependency between the natural language words in our joint representation. Such dependency information can capture the interactions between the semantics and natural language words. We integrate a neural component into our model and propose an efficient dynamic-programming algorithm to perform tractable inference. Through extensive experiments on the standard multilingual GeoQuery dataset with eight languages, we demonstrate that our proposed approach is able to achieve state-of-the-art performance across several languages. Analysis also justifies the effectiveness of using our new dependency-based representation.
The Bank of Georgia Learning Hub

The purpose of this project is to offer Bank of Georgia employees a unique ecosystem of resources, inspiration and collaboration, as well as opportunities to increase the positive impact of work. Joining a diverse community of people will inspire, connect, and enable employees to develop their best work potential every step of the way. The goal is to develop a smart space to live the “learning” as a corporate value and promote learning as a constant process to help each other evolve and push the team toward improvement in their professional paths. Main principles: no formality, more informal relations, openness and genuine interest.
The Hepatoprotective Effect of Jaboticaba Peel Powder in a Rat Model of Type 2 Diabetes Mellitus Involves the Modulation of Thiol/Disulfide Redox State through the Upregulation of Glutathione Synthesis

Jaboticaba peel powder (JPP) is rich in bioactive compounds, mainly soluble and insoluble polyphenols with great antioxidant properties. The aim of this study is to evaluate the effects of JPP supplementation on the oxidative stress and hepatic damage in a rat model of type 2 diabetes mellitus (T2DM). Diabetic rats received vehicle or JPP at 2.7 (JPP-I), 5.4 (JPP-II), or 10.8 (JPP-III) g/L in drinking water during 8 weeks. JPP-III attenuated hyperglycaemia and dyslipidemia increased by 86% the liver content of nonprotein thiol groups and by 90% the GSH/GSSG ratio by activating glutathione synthesis. Accordingly, JPP supplementation prevented the loss of activity of the sulfhydryl-dependent enzyme δ-aminolaevulinic acid dehydratase and attenuated hepatic injury assessed by the reduction of serum aspartate aminotransferase activity and liver hypertrophy. Our results support that JPP supplementation to T2DM rats decreases hepatic damage most likely by increasing glutathione synthesis and modulating the thiol/disulfide redox balance.
JobComposer: Career Path Optimization via Multicriteria Utility Learning

With online professional network platforms (OPNs, e.g., LinkedIn, Xing, etc.) becoming popular on the web, people are now turning to these platforms to create and share their professional profiles, to connect with others who share similar professional aspirations and to explore new career opportunities. These platforms however do not offer a long-term roadmap to guide career progression and improve workforce employability. The career trajectories of OPN users can serve as a reference but they are not always optimal. A career plan can also be devised through consultation with career coaches, whose knowledge may however be limited to a few industries. To address the above limitations, we present a novel data-driven approach dubbed JobComposer to automate career path planning and optimization. Its key premise is that the observed career trajectories in OPNs may not necessarily be optimal, and can be improved by learning to maximize the sum of payoffs attainable by following a career path. At its heart, JobComposer features a decomposition-based multicriteria utility learning procedure to achieve the best tradeoff among different payoff criteria in career path planning. Extensive studies using a city state-based OPN dataset demonstrate that JobComposer returns career paths better than other baseline methods and the actual career paths.
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search

In this paper, we study the problem of approximate containment similarity search. Given two records Q and X, the containment similarity between Q and X with respect to Q is |Q intersect X|/ |Q|. Given a query record Q and a set of records S, the containment similarity search finds a set of records from S whose containment similarity regarding Q are not less than the given threshold. This problem has many important applications in commercial and scientific fields such as record matching and domain search. Existing solution relies on the asymmetric LSH method by transforming the containment similarity to well-studied Jaccard similarity. In this paper, we use a different framework by transforming the containment similarity to set intersection. We propose a novel augmented KMV sketch technique, namely GB-KMV, which is data-dependent and can achieve a good trade-off between the sketch size and the accuracy. We provide a set of theoretical analysis to underpin the proposed augmented KMV sketch technique, and show that it outperforms the state-of-the-art technique LSH-E in terms of estimation accuracy under practical assumption. Our comprehensive experiments on real-life datasets verify that GB-KMV is superior to LSH-E in terms of the space-accuracy trade-off, time-accuracy trade-off, and the sketch construction time. For instance, with similar estimation accuracy (F-1 score), GB-KMV is over 100 times faster than LSH-E on some real-life dataset.
Correlations of Post-stroke Depression with Inflammatory Response Factors

Background: We aimed to investigate the correlations of the inflammatory response factors, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), high-sensitivity C-reactive protein (CRP), with patients with post-stroke depression (PSD), so as to provide a basis for the treatment and prevention of PSD for patients. Methods: The clinical laboratory data of 60 patients with PSD in The Second Affiliated Hospital of Qiqihar Medical University, Qiqihar, China from July 2016 to July 2017 and those of another 60 stroke patients without PSD admitted in the same period were analyzed retrospectively. The expression levels of inflammatory response factors in the two groups of patients and in PSD patients with different levels of depression were compared and analyzed via statistical methods. Multiple Logistic regression analysis was used to determine whether inflammatory response factors were independent risk factors for PSD patients. Results: The expression levels of IL-6, TNF-α and CRP in patients with PSD were significantly increased compared with those in patients without PSD, and the differences were statistically significant (t=6.429, t=6.355, t=5.792, P<0.001). The levels of IL-6, TNF-α and CRP had statistically significant differences between any two groups of mild, moderate and severe PSD patients (P<0.05). Results of multiple Logistic regression analysis revealed that the odds ratio (OR) values of inflammatory factors (IL-6, TNF-α and CRP) were 1.160, 1.099 and 1.248, respectively, and the corresponding p values were 0.020, 0.039 and 0.007 in patients of observation group, indicating the above three inflammatory response factors were independent risk factors for PSD. Conclusion: The clinic control on the expression levels of inflammatory response factors (IL-6, TNF-α and CRP) are extremely important for the treatment and prevention of PSD.
Mobile Apps for Oral Health Promotion: Content Review and Heuristic Usability Analysis

Background There has been an increase in consumer-facing mobile health (mHealth) apps in recent years. Prior reviews have characterized the availability, usability, or quality of popular mHealth apps targeting a range of health behaviors, but none has examined apps that promote better oral health care. Oral disease affects billions of people worldwide and mobile phone use is on the rise, so the market for well-designed and effective oral health apps is substantial. Objective We examined the content and usability of popular oral health promotion apps to better understand the current state of these self-help interventions and inform the need and opportunity for future app development. Methods Between February and March 2018, we identified oral health-focused apps that were designed for Android or iOS, available in English, and targeted adult consumers (as opposed to children or dental health professionals). The sample was limited to the most popular and highly rated apps on each platform. For each app reviewed, we assessed its basic descriptive characteristics (eg, platform, cost), evidence of a theoretical basis or empirical validation, key program functionality, and the extent to which the app addressed diet and tobacco and alcohol use as risk factors for oral disease. We characterized the framing (ie, gain vs loss) of all persuasive messaging and conducted a heuristic analysis to assess each app’s usability as a persuasive health technology. Results Thirty-three apps were eligible for review based on the selection criteria. Two-thirds (22/33, 67%) were geared toward the general public as opposed to dental clinic patients, insurance plan members, or owners of specific electric toothbrushes. Most (31/33, 94%) were free to download, and a majority (19/33, 58%) were sponsored by software developers as opposed to oral health experts. None offered any theoretical basis for the content or had been empirically validated. Common program features included tools for tracking or reminding one to brush their teeth and assistance scheduling dental appointments. Nineteen apps (58%) included educational or persuasive content intended to influence oral health behavior. Only 32% (6/19) of these included a larger proportion of gain-framed than loss-framed messaging. Most of the apps did not mention diet, alcohol or tobacco—important risk factors for oral disease. Overall, the apps performed poorly on standard usability heuristics recommended for persuasive health technologies. Conclusions The quality of the reviewed apps was generally poor. Important opportunities exist to develop oral health promotion apps that have theoretically grounded content, are empirically validated, and adhere to good design principles for persuasive health technologies.
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network

The convolutional neural network model for optical flow estimation usually outputs a low-resolution(LR) optical flow field. To obtain the corresponding full image resolution,interpolation and variational approach are the most common options, which do not effectively improve the results. With the motivation of various convolutional neural network(CNN) structures succeeded in single image super-resolution(SISR) task, an end-to-end convolutional neural network is proposed to reconstruct the high resolution(HR) optical flow field from initial LR optical flow with the guidence of the first frame used in optical flow estimation. Our optical flow super-resolution(OFSR) problem differs from the general SISR problem in two main aspects. Firstly, the optical flow includes less texture information than image so that the SISR CNN structures can't be directly used in our OFSR problem. Secondly, the initial LR optical flow data contains estimation error, while the LR image data for SISR is generally a bicubic downsampled, blurred, and noisy version of HR ground truth. We evaluate the proposed approach on two different optical flow estimation mehods and show that it can not only obtain the full image resolution, but generate more accurate optical flow field (Accuracy improve 15% on FlyingChairs, 13% on MPI Sintel) with sharper edges than the estimation result of original method.
HUS1 checkpoint clamp component (HUS1) is a potential tumor suppressor in primary hepatocellular carcinoma

The HUS1 checkpoint clamp component (HUS1), which is a member of an evolutionarily conserved, genotoxin‐activated checkpoint complex (Rad9‐Rad1‐Hus1 [9‐1‐1] complex), is involved in cell cycle arrest and DNA repair in response to DNA damage. We conducted this study to investigate the biological significances of HUS1 expression in hepatocellular carcinoma (HCC) development. The mRNA and protein expression levels of HUS1 were determined using Real‐time PCR and Western blot, respectively. One hundered and twenty four paraffin sections from HCC tissues were analyzed by immunohistochemistry to assess the association between HUS1 expression and clinicopathological characteristics of patients. The Kaplan‐Meier method was performed to calculate the OS and RFS curves. Cell proliferation and colony formation assays, cell migration and invasion assays and cell cycle assays were used to determine the suppressor role of HUS1 in vitro. A mouse model was used to determine the effect of HUS1 on tumorigenesis. The expression of HUS1 was significantly decreased in HCC cell lines and tissues, and low HUS1 expression was associated with poor prognosis of HCC patients. Upregulation of HUS1 expression inhibited the cell proliferation, colony formation, migration, and invasion, as well as arrested cell cycle at G0/G1 in HCC cells in vitro. Moreover, sufficient HUS1 expression inhibited the tumor growth in nude mice. Our study revealed for the first time that HUS1 is a potential tumor suppressor that might produce an antitumor effect in human HCC. Furthermore, HUS1 may serve as a prognostic indicator and could be used for therapeutic application in HCC patients.
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams

Event boundaries play a crucial role as a pre-processing step for detection, localization, and recognition tasks of human activities in videos. Typically, although their intrinsic subjectiveness, temporal bounds are provided manually as input for training action recognition algorithms. However, their role for activity recognition in the domain of egocentric photostreams has been so far neglected. In this paper, we provide insights of how automatically computed boundaries can impact activity recognition results in the emerging domain of egocentric photostreams. Furthermore, we collected a new annotated dataset acquired by 15 people by a wearable photo-camera and we used it to show the generalization capabilities of several deep learning based architectures to unseen users.
No associations between fruit and vegetable consumption and pancreatic cancer risk: a meta-analysis of prospective studies

The associations between fruit and vegetable consumption and pancreatic cancer risk are inconclusive. We conducted a meta-analysis of prospective studies to investigate the associations. The search was conducted systemically using the PubMed and EMBASE databases up to March 2017. Relative risks and 95% confidence intervals for the highest versus lowest consumption and dose-response analyses were assessed. Subtype and subgroup analyses were performed. Twelve studies were eligible. The summary relative risks of the highest versus lowest consumption were 0.95 (0.80–1.12) for total fruits and vegetables without heterogeneity (I2 = 0%, P = 0.44), 0.96 (0.82–1.12) for fruits without low heterogeneity (I2 = 37%, P = 0.12) and 0.94 (0.84–1.06) for vegetables with low heterogeneity (I2 = 9%, P = 0.36). Dose-response analyses also showed no significantly inverse associations for each 100 g/day increase; the summary relative risks were 1.00 (0.98–1.02) for total fruits and vegetables, 1.01 (0.97–1.05) for fruits and 1.00 (0.97–1.03) for vegetables. The results of subtype analyses were consistent with the fruit and vegetable analyses; the relative risks were 0.97 (0.80–1.17) for citrus fruit without low heterogeneity (I2 = 39%, P = 0.15) and 0.89 (0.76–1.05) for cruciferous vegetables without low heterogeneity (I2 = 14%, P = 0.32). In conclusion, this meta-analysis does not support significant associations between fruit and vegetable consumption and pancreatic cancer risk.
Plants of Genus Mentha: From Farm to Food Factory

Genus Mentha, a member of Lamiaceae family, encompasses a series of species used on an industrial scale and with a well-described and developed culture process. Extracts of this genus are traditionally used as foods and are highly valued due to the presence of significant amounts of antioxidant phenolic compounds. Many essential oil chemotypes show distinct aromatic flavor conferred by different terpene proportions. Mint extracts and their derived essential oils exert notable effects against a broad spectrum of bacteria, fungi or yeasts, tested both in vitro or in various food matrices. Their chemical compositions are well-known, which suggest and even prompt their safe use. In this review, genus Mentha plant cultivation, phytochemical analysis and even antimicrobial activity are carefully described. Also, in consideration of its natural origin, antioxidant and antimicrobial properties, a special emphasis was given to mint-derived products as an interesting alternative to artificial preservatives towards establishing a wide range of applications for shelf-life extension of food ingredients and even foodstuffs. Mentha cultivation techniques markedly influence its phytochemical composition. Both extracts and essential oils display a broad spectrum of activity, closely related to its phytochemical composition. Therefore, industrial implementation of genus Mentha depends on its efficacy, safety and neutral taste.
A New Case of a Rare Combination of Temple Syndrome and Mosaic Trisomy 14 and a Literature Review

Temple syndrome (TS14) is a relatively recently discovered imprinting disorder caused by abnormal expression of genes at the locus 14q32. The underlying cause of this syndrome is maternal uniparental disomy of chromosome 14 (UPD(14)mat). Trisomy of chromosome 14 is one of the autosomal trisomies; in humans, it is only compatible with live birth in mosaic form. Although UPD(14)mat and mosaic trisomy 14 can arise from the same cellular mechanism, a combination of both has been currently reported only in 8 live-born cases. Hereby, we describe a patient in whom only UPD(14)mat-associated TS14 was primarily diagnosed. Due to the patient's atypical features (for TS14), additional analyses were performed and low-percent mosaic trisomy 14 was detected. It can be expected that the described combination of 2 etiologically related conditions is actually more prevalent. Additional chromosomal and molecular investigations are indicated for every patient with UPD(14)mat-associated TS14 with atypical clinical presentation.