Miracle-dz/UniFAR-FTUs huggingface dataset:
GHK and DNA: Resetting the Human Genome to Health

During human aging there is an increase in the activity of inflammatory, cancer promoting, and tissue destructive genes plus a decrease in the activity of regenerative and reparative genes. The human blood tripeptide GHK possesses many positive effects but declines with age. It improves wound healing and tissue regeneration (skin, hair follicles, stomach and intestinal linings, and boney tissue), increases collagen and glycosaminoglycans, stimulates synthesis of decorin, increases angiogenesis, and nerve outgrowth, possesses antioxidant and anti-inflammatory effects, and increases cellular stemness and the secretion of trophic factors by mesenchymal stem cells. Recently, GHK has been found to reset genes of diseased cells from patients with cancer or COPD to a more healthy state. Cancer cells reset their programmed cell death system while COPD patients' cells shut down tissue destructive genes and stimulate repair and remodeling activities. In this paper, we discuss GHK's effect on genes that suppress fibrinogen synthesis, the insulin/insulin-like system, and cancer growth plus activation of genes that increase the ubiquitin-proteasome system, DNA repair, antioxidant systems, and healing by the TGF beta superfamily. A variety of methods and dosages to effectively use GHK to reset genes to a healthier state are also discussed.
The Impact of Cooking Classes on Food-Related Preferences, Attitudes, and Behaviors of School-Aged Children: A Systematic Review of the Evidence, 2003–2014

Introduction Cooking programs have been used to promote healthful eating among people of all ages. This review assesses the evidence on childhood cooking programs and their association with changes in food-related preferences, attitudes, and behaviors of school-aged children. Methods We systematically searched PubMed, Ovid-Medline, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases. We included primary research articles that involved cooking education programs for children and searched reference lists for eligible articles. Studies considered for review contained a hands-on cooking intervention; had participants aged 5 to 12 years; were published in a peer-reviewed journal on or after January 1, 2003; and were written in English. We used the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies to rate the strength of each article and assess bias. The following information was extracted from each study: study design, sample size, location, duration, intervention components, data collection methods, and outcomes. Results Eight studies met the inclusion criteria and used cooking education to influence children’s food-related preferences, attitudes, and behaviors. Programs varied in duration, evaluation methods, and outcomes of interest. Self-reported food preparation skills, dietary intake, cooking confidence, fruit and vegetable preferences, attitudes toward food and cooking, and food-related knowledge were among the outcomes measured. Program exposure ranged from 2 sessions to regular instruction over 2 years, and the effect of cooking programs on children’s food-related preferences, attitudes, and behaviors varied among the reviewed studies. Conclusions Findings suggest that cooking programs may positively influence children’s food-related preferences, attitudes, and behaviors. However, because study measurements varied widely, determining best practices was difficult. Further research is needed to fill knowledge gaps on ideal program length, long-term effects, and usefulness of parent engagement, tasting lessons, and other intervention components.
Towards Supporting Search over Trending Events with Social Media

Many search engines identify bursts of activity around particular topics and reflect these back to users as Popular Now or Hot Searches. Activity around these topics typically evolves quickly in real-time during the course of a trending event. Users’ informational needs when searching for such topics will vary depending on the stage at which they engage with an event. Through a survey and log study, we observe that interaction with content about trending events varies significantly with prior awareness of the event. Building on this observation, we conduct a larger-scale analysis of query logs and social media data associated with hundreds of trending events. We find that search and social media activity tend to follow similar temporal patterns, but that social media activity leads by a few hours. While user interest in trending event content predictably diverges during peak activity periods, the overlap between content searched and shared increases. We discuss how these findings relate to the design of interfaces to better support sensemaking around trending events by integrating real-time social media content with traditional search results.
Work stress and negative affectivity: a multi-method study.

BACKGROUND In the literature negative affectivity (NA) is considered both a confounding variable as well as a predictive variable for work-related stress. However, a common limitation in this line of research relates to the use of self-report measures for determining NA, perceived stressors and psychophysical strain. AIMS To test, using a multi-method study, a theoretical model that correlates NA, perceived interpersonal conflict (with co-workers and supervisors), psychophysical strain and medically certified sickness absences. METHODS A multi-method prospective study was carried out on a sample of metalworkers. NA and interpersonal conflict were determined using self-report (Time 1), whereas psychophysical strain was determined by an occupational physician (Time 2). Data on medically certified sickness absences were collected from the company's database (Time 3). RESULTS There were 326 participants. The results showed an association between NA and conflict with co-workers, as well as between NA and conflict with supervisors. Psychophysical strain could be predicted from NA and conflict with co-workers but not from conflict with supervisors. NA had a significant indirect effect on psychophysical strain through conflict with co-workers. Lastly, psychophysical strain predicted sickness absences from work. CONCLUSIONS NA influenced psychophysical strain in the worker, both directly and indirectly, through perceived conflict with co-workers.
Framework for Horizontal Scaling of Map Matching: Using Map-Reduce

Map Matching is a well-established problem which deals with mapping raw time stamped location traces to edges of road network graph. Location data traces may be from devices like GPS, Mobile Signals etc. It has applicability in mining travel patterns, route prediction, vehicle turn prediction and resource prediction in grid computing etc. Existing map matching algorithms are designed to run on vertical scalable frameworks (enhancing CPU, Disk storage, Network Resources etc.). Vertical scaling has known limitations and implementation difficulties. In this paper we present a framework for horizontal scaling of map-matching algorithm, which overcomes limitations of vertical scaling. This framework uses Hbase for data storage and map-reduce computation framework. Both of these technologies belong to big data technology stack. Proposed framework is evaluated by running ST-matching based map matching algorithm.
Policy Generation Framework for Large-Scale Storage Infrastructures

Cloud computing is gaining acceptance among mainstream technology users. Storage cloud providers often employ Storage Area Networks (SANs) to provide elasticity, rapid adaptability to changing demands, and policy based automation. As storage capacity grows, the storage environment becomes heterogeneous, increasingly complex, harder to manage, and more expensive to operate. This paper presents PGML (Policy Generation for largescale storage infrastructure configuration using Machine Learning), an automated, supervised machine learning framework for generation of best practices for SAN configuration that can potentially reduce configuration errors by up to 70% in a data center. A best practice or policy is nothing but a technique, guideline or methodology that, through experience and research, has proven to lead reliably to a better storage configuration. Given a standards-based representation of SAN management information, PGML builds on the machine learning constructs of inductive logic programming (ILP) to create a transparent mapping of hierarchical, object-oriented management information into multi-dimensional predicate descriptions. Our initial evaluation of PGML shows that given an input of SAN problem reports, it is able to generate best practices by analyzing these reports. Our simulation results based on extrapolated real-world problem scenarios demonstrate that ILP is an appropriate choice as a machine learning technique for this problem. I
Co-authoring with structured annotations

Most co-authoring tools support basic annotations, such as edits and comments that are anchored at specific locations in the document. However, they do not support meta-commentary about a document (such as an author's summary of modifications) which gets separated from the document, often in the body of email messages. This causes unnecessary overhead in the write-review-edit workflow inherent in co-authoring. We present document-embedded structured annotations called "bundles" that incorporate the meta-commentary into a unified annotation model that meets a set of annotation requirements we identified through a small field investigation. A usability study with 20 subjects evaluated the annotation reviewing stage of co-authoring and showed that annotation bundles in our high-fidelity prototype reduced reviewing time and increased accuracy, compared to a system that only supports edits and comments.
Transferring the Cost of Wage Rigidity to Subcontracting Firms: The Case of Korea

We select a Korean case with ample subcontracting practices and a rigid wage system. Workplaces with subcontract transactions would have reason to impute the additional wage incremental costs associated with the seniority-based wage system (Hobong in Korea) to subcontractors. Our empirical results identify the cost-transferring mechanism under which the cost of wage rigidity for contractors is transferred to subcontracting firms and aggravates the wage inequality among workers in contracting and subcontracting firms. We analyze the industrial difference in the intensity of this transferring mechanism and probe policy directions considering the improvement of both the subcontracting structure and pay system simultaneously. For the sustainability of firms, they need to reform a seniority-based wage system, an incentive-based wage system or a job-based wage system and the exploited subcontracting structure for creating share value.
Understanding the life of a knowledge worker

This poster presents an implementation of data mini ng techniques to obtain a probabilistic process mod el from the low-level event log of the activity of a k nowledge worker, In these settings, knowledge worke rs are often involved in numerous projects, that requi re accessing different data sources, interacting wi th different individuals, exchanging messages, browsin g the web, etc. An individual's role may vary from project to project, and the relevance of different portions of the document will vary according to the project and the individual reading the document. From such events, we obtain dynamic models and demonstrate the process on real-world data collected fro m knowledge workers in a large telecom company. The goal is to aid the user with improved information d elivery when we are provided with better understand ing of the knowledge process [1].
New two-colour light curves of Q0957+561: time delays and the origin of intrinsic variations

Aims. We extend the gr-band time coverage of the gravitationally lensed double quasar Q0957+561. New gr light curves permit us to detect significant intrinsic fluctuations, to determine new time delays, and thus to gain perspective on the mechanism of intrinsic variability in Q0957+561. Methods. We use new optical frames of Q0957+561 in the g and r passbands from January 2005 to July 2007. These frames are part of an ongoing long-term monitoring with the Liverpool robotic telescope. We also introduce two photometric pipelines that are applied to the new gr frames of Q0957+561. The transformation pipeline incorporates zero-point, colour, and inhomogeneity corrections to the instrumental magnitudes, so final photometry to the 1–2% level is achieved for both quasar components. The two-colour final records are then used to measure time delays. Results. The gr light curves of Q0957+561 show several prominent events and gradients, and some of them (in the g band) lead to a time delay between components ΔtBA = 417 ± 2d( 1σ). We do not find evidence of extrinsic variability in the light curves of Q0957+561. We also explore the possibility of a delay between a large event in the g band and the corresponding event in the r band. The gr cross-correlation reveals a time lag Δtrg = 4.0 ± 2. 0d( 1σ ;t heg-band event is leading) that confirms a previous claim of the existence of a delay between the g and r band in this lensed quasar. Conclusions. The time delays (between quasar components and between optical bands) from the new records and previous ones in similar bands indicate that most observed variations in Q0957+561 (amplitudes of ∼100 mmag and timescales of ∼100 d) are very probably due to reverberation within the gas disc around the supermassive black hole.
Quality control in crowdsourced object segmentation

This paper explores processing techniques to deal with noisy data in crowdsourced object segmentation tasks. We use the data collected with Click'n'Cut, an online interactive segmentation tool, and we perform several experiments towards improving the segmentation results. First, we introduce different superpixel-based techniques to filter users' traces, and assess their impact on the segmentation result. Second, we present different criteria to detect and discard the traces from potential bad users, resulting in a remarkable increase in performance. Finally, we show a novel superpixel-based segmentation algorithm which does not require any prior filtering and is based on weighting each user's contribution according to his/her level of expertise.
Unifying view on min-max fairness and utility optimization in cellular networks

In this work, we are concerned with quality of service (QoS) control in wireless cellular networks utilizing linear receiver structures. We investigate the issues of fairness and operator utility efficiency. We disprove the common conjecture on contradiction between min-max fairness and utility optimality by characterizing the case in which both goals can be accomplished. Our analysis shows that such fair and utility efficient allocation of powers and prices is a saddle point of the utility optimization objective. This means that the min-max fair utility optimum, when existent, is the worst case one and indicates a trade-off between social goals and operator goals.
Identification of new noncoding RNAs in Listeria monocytogenes and prediction of mRNA targets

To identify noncoding RNAs (ncRNAs) in the pathogenic bacterium Listeria monocytogenes, we analyzed the intergenic regions (IGRs) of strain EGD-e by in silico-based approaches. Among the twelve ncRNAs found, nine are novel and specific to the Listeria genus, and two of these ncRNAs are expressed in a growth-dependent manner. Three of the ncRNAs are transcribed in opposite direction to overlapping open reading frames (ORFs), suggesting that they act as antisense on the corresponding mRNAs. The other ncRNA genes appear as single transcription units. One of them displays five repeats of 29 nucleotides. Five of these new ncRNAs are absent from the non-pathogenic species L. innocua, raising the possibility that they might be involved in virulence. To predict mRNA targets of the ncRNAs, we developed a computational method based on thermodynamic pairing energies and known ncRNA–mRNA hybrids. Three ncRNAs, including one of the putative antisense ncRNAs, were predicted to have more than one mRNA targets. Several of them were shown to bind efficiently to the ncRNAs suggesting that our in silico approach could be used as a general tool to search for mRNA targets of ncRNAs.
The Image of the Female Body in Contemporary Society: An Approach from the Arts Classroom

Project-based learning and artistic creation provide future secondary teachers with an opportunity to experience and to reflect on the importance of including a gender perspective in education. This article describes a case study where students of the Postgraduate course in Secondary Teacher Training explore the image of the female body in comics, publicity, beauty contests and the world of fashion with the aim of planning and designing a project that can be undertaken by school-age children and promoting the discussion of issues such as equity and equality of rights and opportunities for women and men in subjects they will later on have to teach in a secondary school classroom. IJEA Vol. 17 No. 37 http://www.ijea. org/v17n37/ 2
Multifunctional Composites with Applications to Energy Performance and Efficiency

Abstract : Multifunctional material systems (MfMS) are material/systems that can perform more than one primary function simultaneously or sequentially in time to enhance system-level performance through the elimination of redundancy between sub-system materials and functions. A system-level performance metric of considerable importance is energy performance and efficiency. Total energy usage in 2009 by US Department of Defense (DoD) has been estimated at 900 trillion BTU's with approximately 75% of that being consumed for mobility related applications (e.g., aircraft, ships, vehicles, etc.). This paper describes the development of a new class of multifunctional laminate composites with controllable surface morphology at NRL. The current focus is on two-phase (solid-fluid), thin, flexible, skin-like laminates with surface pore arrays that are connected to an internal vascular network. These new materials with structural (skin) + surface (morphology control) multifunctionality are being called poro-vascular composites or PV composites for short.
Phosphorylation of Mouse Melanopsin by Protein Kinase A

The visual pigment melanopsin is expressed in intrinsically photosensitive retinal ganglion cells (ipRGCs) in the mammalian retina, where it is involved in non-image forming light responses including circadian photoentrainment, pupil constriction, suppression of pineal melatonin synthesis, and direct photic regulation of sleep. It has recently been shown that the melanopsin-based light response in ipRGCs is attenuated by the neurotransmitter dopamine. Here, we use a heterologous expression system to demonstrate that mouse melanopsin can be phosphorylated by protein kinase A, and that phosphorylation can inhibit melanopsin signaling in HEK cells. Site-directed mutagenesis experiments revealed that this inhibitory effect is primarily mediated by phosphorylation of sites T186 and S287 located in the second and third intracellular loops of melanopsin, respectively. Furthermore, we show that this phosphorylation can occur in vivo using an in situ proximity-dependent ligation assay (PLA). Based on these data, we suggest that the attenuation of the melanopsin-based light response by dopamine is mediated by direct PKA phosphorylation of melanopsin, rather than phosphorylation of a downstream component of the signaling cascade.
Investigation of Ultrasonic Properties of Hydrophilic Polymers for Dry-coupled Inspection

The use of dry-coupled ultrasonic techniques is of growing importance for inspection of components with non-uniform surfaces, advanced materials or coatings where the test piece material must not become wet or saturated with water. Rubber-like materials, often used for dry-coupled ultrasonic inspection, do not have the necessary ultrasound properties to make a good match between the transducer and the range of materials such as composites and ceramics since they exhibit high attenuation and can predominantly be used at low transmission frequencies. To overcome these problems, a number of different hydrophilic polymers with equilibrium water contents in the range 10 to 98 % by wet weight have been investigated at frequencies 1 MHz to 25 MHz. In the present study was investigated the change of ultrasonic velocity and attenuation in a temperature range from -30oC to 70oC which is important for infield inspection. The ultrasonic properties of hydrophilic polymers are studied and discussed with a view to the development of new dry-coupled probe. Demonstrating excellent acoustic properties, hydrophilic materials lend themselves very well to implementation in ultrasonic non-destructive testing. The results disclose their superiority over the most widely used ultrasonic couplants to transmit high frequencies when the testing procedure should meet specific requirements.
The Generalized Distributive Law * a Portion of Mceliece's Contribution Was Performed at the Sony Corporation in Tokyo, While He Was a Holder of a Sony Sabbatical Chair

In this semi-tutorial paper we discuss a general message-passing algorithm, which we call the generalized distributive law. The GDL is a synthesis of the work of many authors in the information theory, digital communications, signal processing, statistics, and artificial intelligence communities. It includes as special cases the Baum-Welch algorithm, the FFT on any finite Abelian group, the Gallager-Tanner-Wiberg decoding algorithm, Viterbi’s algorithm, the BCJR algorithm, Pearl’s “belief propagation” algorithm, the Shafer-Shenoy probability propagation algorithm, and the turbo decoding algorithm. Although this algorithm is guaranteed to give exact answers only in certain cases (the “junction tree” condition), unfortunately not including the cases of GTW with cycles or turbo-decoding, there is much experimental evidence, and a few theorems, suggesting that it often works approximately even when it is not supposed to.
Intermittent transmission method based on aggregation model for clustering scheme

In wireless sensor networks, reducing the energy consumption of the whole network is one of the most important research themes. In this paper, we first define a data aggregation model that defines the relationship between the increased amount of entropy and the number of sensor nodes. We also develop an intermittent transmission method, which is mainly assumed clustered sensor networks. Each sensor node transits their data with a probability that is set based on the aggregation model and the number of nodes within the cluster. From simulation using real sensing data, we reveal the intermittent transmission method is effective for energy-saving.
Processing Declarative Queries through Generating Imperative Code in Managed Runtimes

We present the results of our work on integrating database and programming language runtimes through code generation and extensive just-in-time adaptation. Our techniques deliver significant performance improvements over non-integrated solutions. Our work makes important first steps towards a future where data processing applications will commonly run on machines that can store their datasets entirely in persistent memory, and will be written in a single programming language employing higher-level APIs and language-integrated query.