Miracle-dz/UniFAR-FTUs huggingface dataset:
Moving Beyond Cardio: The Value of Resistance Training, Balance Training, and Other Forms of Exercise in the Management of Diabetes

IN BRIEF Traditionally, aerobic training has been a central focus of exercise promotion for diabetes management. However, people with diabetes have much to gain from other forms of exercise. This article reviews the evidence and recommendations on resistance, balance, and flexibility training, as well as other, less traditional, forms of exercise such as yoga and Tai Chi.
Associativity anomaly in string field theory

We give a detailed study of the associativity anomaly in open string field theory from the viewpoint of the split string and Moyal formalisms. The origin of the anomaly is reduced to the properties of the special infinite size matrices which relate the conventional open string to the split string variables, and is intimately related to midpoint issues. We discuss two steps to cope with the anomaly. We identify the field subspace that causes the anomaly which is related to the existence of closed string configurations, and indicate a decomposition of open/closed string sectors. We then propose a consistent cut off method with a finite number of string modes that guarantees associativity at every step of any computation.
Polymeric nanoparticles for targeted treatment in oncology: current insights

Chemotherapy, a major strategy for cancer treatment, lacks the specificity to localize the cancer therapeutics in the tumor site, thereby affecting normal healthy tissues and advocating toxic adverse effects. Nanotechnological intervention has greatly revolutionized the therapy of cancer by surmounting the current limitations in conventional chemotherapy, which include undesirable biodistribution, cancer cell drug resistance, and severe systemic side effects. Nanoparticles (NPs) achieve preferential accumulation in the tumor site by virtue of their passive and ligand-based targeting mechanisms. Polymer-based nanomedicine, an arena that entails the use of polymeric NPs, polymer micelles, dendrimers, polymersomes, polyplexes, polymer–lipid hybrid systems, and polymer–drug/protein conjugates for improvement in efficacy of cancer therapeutics, has been widely explored. The broad scope for chemically modifying the polymer into desired construct makes it a versatile delivery system. Several polymer-based therapeutic NPs have been approved for clinical use. This review provides an insight into the advances in polymer-based targeted nanocarriers with focus on therapeutic aspects in the field of oncology.
Coping over time: the parents of children with autism.

BACKGROUND Although coping with autism has been examined in a number of papers, virtually no research exists on how families cope over time. This paper reports the results of a longitudinal study of parents coping with autism over a period of approximately a decade. METHODS The research method for the study was based on ethnographic methods that emphasized in-depth interviews and participant observation. The sample for this study consisted of 28 parents (19 mothers and nine fathers) of children with autism. The instrument for the interviews consisted of questions concerning: the child's medical history and referral experience, the child's present symptomatology, the effects of the child's problems on the parent's well-being, the effects of autism on the family's social life, parental coping strategies, illness conceptualization and the parents' expectations for the future. RESULTS AND CONCLUSIONS Coping strategies changed from the time of the initial study, as fewer parents coped through reliance on service providers, family support, social withdrawal and individualism and relatively more parents coped through their religious faith and other emotion-focused strategies. The results tentatively support previous research on coping that indicates that aging is linked to the use of more emotion-focused coping strategies.
The Sixteen Personality Factor Questionnaire (16PF).

The Sixteen Personality Factor Questionnaire (16PF) is a comprehensive measure of normalrange personality found to be effective in a variety of settings where an in-depth assessment of the whole person is needed. The 16PF traits, presented in Table 7.1, are the result of years of factor-analytic research focused on discovering the basic structural elements of personality (Cattell, R.B., 1957, 1973). In addition to discovering the sixteen normal-range personality traits for which the instrument is named, these researchers identified the five broad dimensions – a variant of the ‘Big Five’ factors (Cattell, R.B., 1957, 1970). From the beginning, Cattell proposed a multi-level, hierarchical structure of personality: the second-order global measures describe personality at a broader, conceptual level, while the more precise primary factors reveal the fine details and nuances that make each person unique, and are more powerful in predicting actual behavior. In addition, this factor-analytic structure includes a set of thirdorder factors, also discussed in this chapter. Due to its scientific origins, the 16PF Questionnaire has a long history of empirical research and is embedded in a well-established theory of individual differences. This questionnaire’s extensive body of research stretches back over half a century, providing evidence of its utility in clinical, counseling, industrial-organizational, educational, and research settings (Cattell, R.B. et al., 1970; H.E.P. Cattell and Schuerger, 2003; Conn and Rieke, 1994; Krug and Johns, 1990; Russell and Karol, 2002). A conservative estimate of 16PF research since 1974 includes more than 2,000 publications (Hofer and Eber, 2002). Most studies have found the 16PF to be among the top five most commonly used normal-range instruments in both research and practice (Butcher and Rouse, 1996; Piotrowski and Zalewski, 1993; Watkins et al., 1995). The measure is also widely used internationally, and since its inception has been adapted into over 35 languages worldwide.
Hubungan Antara Harga Diri Dengan Kecenderungan Narsistik Pada Pengguna Instagram Ditinjau Dari Jenis Kelamin

Social networking has raised new phenomena such as the selfie, also the habit of renewing the image in daily activities that lead to a narcissistic behavior. Narcissistic tendency generally have low self esteem, because of the fall of wishful thinking. The user's connection with the instagram, narcissistic tendencies can help to avoid feeling disappointed. The purpose of this research is to know the relationship between narcissistic tendencies with self esteem on user instagram, a narcissistic tendency difference on instagram users in terms of gender, the level of self-esteem with a narcissistic tendencies, the effective contribution of self-esteem with a narcissistic tendencies. The proposed hypothesis, namely there are negative relationship between narcissistic tendencies with self esteem and there is a difference between a narcissistic tendency on instagram users in terms of gender. The subject in this study amounts to 120 people, the students of the Faculty of psychology of the Muhammadiyah University of Surakarta age 18-24 years of age, have a personal account with the instagram has joined more than six months, active in accessing account instagram (check the notification/notification, check the front page or explore, like, make comments, or upload a photo), has a population of more than 90 photos. The technique of sampling in research this is incidental sampling. Data analysis was done with the analysis of the correlation of product moment and independent sampel t-test using the assistive program SPSS 15.0 For Windows programs. Based on the results of the calculation of the correlation coefficients obtained results rx y =-0.209 with sig = 0.011 (p 0.05. These results indicate that there is a negative relationship of atnara self-esteem with narcissistic tendencies. Effective contribution (SE) self-esteem against a narcissistic tendency of 4.3%, demonstrated by the determinant of the coefficient (r²) of 0.043. The level of a narcissistic tendency of users to low level while classified as instagram self-esteem belongs to high.
A control service for QoS-enabled middleware

Developers of distributed multimedia applications face a diversity of multimedia formats, streaming platforms and streaming protocols; furthermore, support for end-to-end Quality-of-Service (QoS) is a crucial factor for the development of future distributed multimedia systems. Middleware is gaining wide acceptance as a generic software infrastructure for distributed applications, a growing number of applications are designed and implemented as a set of collaborating objects using object middleware, such as CORBA, EJB and (D)COM(+), as a software infrastructure that facilitates distribution transparent interactions. However, quality aspects of interactions between objects cannot be specified nor enforced by current object middleware, resulting only in a best-effort QoS support in middleware. Next generation object middleware should offer abstractions for management and control of the system level QoS mechanisms, while maintaining the advantages of the distribution transparencies, these abstractions should take into account that new interfaces to OS resources and new network protocols are expected to appear as the result of ongoing research efforts, in addition, a changing run-time environment must be handled. The paper discusses the design and implementation of a QoS-enabled middleware platform for content delivery with QoS guarantees. Properties of content are represented using a generic content representation model described using the OMG Meta Object Facility (MOF) model. The integration of the QoS support, content representation and content delivery framework results in a QoS-enabled middleware which is representation, location and QoS transparent. This paper presents aspects of the framework for controlling QoS at middleware level implemented as a provisioning QoS service , suport ing new paradigm QoS-enabled middleware .
Quantitative Analysis of Reading Comprehension and Reading Speed Based on Serif and Sans-Serif Fonts

Our work investigates the effect of using the two general categories of fonts, serif fonts and sans-serif fonts, on the rate at which a person reads and on how much of the material a person comprehends. We have conducted an experiment in which each participant is given two articles, each using a different font, and asked to answer a short questionnaire between each article. After analyzing the data, we have come to the conclusion that serif vs sans-serif fonts produce no notable effects on reading speed or comprehension.
Use of maps to extract geometric parameters of cities based image processing

This paper proposes an automatic system in order to determine geometric parameters in different cities. That system is based on image processing techniques, and in which different parameters are obtained. The parameters extracted are the perimeter length and the area delimited by that perimeter, and can be used in order to calculate the level of sustainability of metropolitan zones. These tasks have been usually developed manually, and the system proposed is an advance in terms of time and effort.
Análise Dos Fundos De Investimento Brasileiros Através Do CAPM Cointegrado Com Regimes De Markov (Analysis of the Brazilian Equity Funds Using the Co-integrated CAPM with Markov Regime Switches)

Portuguese Abstract: O tradicional modelo CAPM ja foi largamente utilizado para analisar a relacao entre retornos de fundos de investimento e retornos de mercados. Este artigo analisa a relacao entre o retorno de fundos de acoes brasileiros e o retorno do Ibovespa, trabalhando com um modelo analogo ao CAPM, estimado por meio de Cointegracao de Series temporais. A analise e enriquecida estimando mudancas de regimes de Markov. Os resultados apontam que ha regimes muito bem delineados, tanto no curto quanto no longo prazo, sendo que a dependencia dos precos dos fundos em relacao aos precos do mercado e maior no periodo de alta e menor no periodo intermediario. No curto prazo, o retorno dos fundos depende menos do retorno dos mercados quando o mercado apresenta baixa volatilidade e mais quando o mercado apresenta volatilidade media. English Abstract: The traditional CAPM has been widely used to analyze the relationship between mutual funds returns and market returns. This article analyzes the relationship between the equity funds returns and the return of Brazilian Bovespa, working with a model analogous to CAPM, estimated by time series cointegration. The analysis is enriched by estimating Markov regime changes. The results show that there are very well-designed regimes, both in the short and long term, and the dependence of prices of funds in relation to market prices is higher when the market is in a high level and low in the middle level market. In the short term, the equity funds returns depends less on market returns when the market shows low volatility and more when the market shows average volatility.
Effects of Seasonal Thermal Stratification on the Functional Diversity and Composition of the Microbial Community in a Drinking Water Reservoir

The microbial communities within reservoir ecosystems are shaped by water quality and hydrological characteristics. However, there are few studies focused on the effects of thermal stratification on the bacterial community diversity in drinking water reservoirs. In this study, we collected water samples from the Jinpen Reservoir around the re-stratification period. To explore the functional diversity and bacterial community composition, we used the Biolog method and 16S rRNA-based 454 pyrosequencing combined with flow cytometry. The results indicated that stratification of the reservoir had great effects on temperature and oxygen profiles, and both the functional diversity and the composition of the bacterial community strongly reflected the significant vertical stratification in the reservoir. The results of the Biolog method showed a significantly higher utilization of carbon sources in the hypolimnion than in the epilimnion. The result of pyrosequencing also showed a significantly higher species diversity and richness in the hypolimnion than in the epilimnion with different dominant phylum. Redundancy analysis also indicated that the majority of environmental variables, especially pH and dissolved oxygen, played key roles in shaping bacterial community composition. Our study provides a better understanding of the functional diversity of bacterial communities, and the response of microorganisms to seasonal thermal stratification.
Mapping generation for XML data sources: a general framework

The inter-operability of multiple autonomous and heterogeneous data sources is an important issue in many applications such as mediation systems, datawarehouses, or web-based systems. These systems provide a view, called a target schema, on the top of the data sources. Mappings are defined for describing the way instances of the target schema are derived from instances of the data sources. The generation of such mappings is a difficult problem, especially when the target schema and the source schemas are in XML format. In this paper, we propose a framework to automatically find the mappings for a target schema given the source schemas and a set of semantic correspondences. In our framework, the target schema is decomposed into subtrees. Mappings are first determined for each subtree, and then combined to generate the mapping for the whole target schema. The generated mappings are expressed in a standard language, such as XQuery or XSLT.
ARMS : Action-Relation Modelling System for Learning Action Models

We present a system for automatically discovering action models from a set of successful observed plans. AI planning requires the definition of an action model using a language such as PDDL as input. However, building an action model from scratch is a difficult and timeconsuming task even for experts. Unlike the previous work in action-model learning, ARMS does not assume complete knowledge of states in the middle of the observed plans; in fact, our approach would work when no or partial intermediate states are given. These example plans are obtained by an observation agent who does not know the logical encoding of actions and the full state information between actions. In a real world application, the cost is prohibitively high in labelling the training examples by manually annotating every state in a plan example from snapshots of an environment. To learn action models, ARMS gathers knowledge on the statistical distribution of frequent sets of actions in the example plans. It then builds a weighted propositional satisfiability (Weighted SAT) problem and solves it using a weighted MAX-SAT solver. We lay the theoretical foundations of the learning problem and evaluate the effectiveness of ARMS empirically.
Protective Roles of DMP1 in High Phosphate Homeostasis

Purpose Dmp1 (dentin matrix protein1) null mice (Dmp1−/−) display hypophosphatemic rickets with a sharp increase in fibroblast growth factor 23 (FGF23). Disruption of Klotho (the obligatory co-receptor of FGF23) results in hyperphosphatemia with ectopic calcifications formed in blood vessels and kidneys. To determine the role of DMP1 in both a hyperphosphatemic environment and within the ectopic calcifications, we created Dmp1/Klotho compound deficient (Dmp1−/−kl/kl) mice. Procedures A combination of TUNEL, immunohistochemistry, TRAP, von Kossa, micro CT, bone histomorphometry, serum biochemistry and Scanning Electron Microscopy techniques were used to analyze the changes in blood vessels, kidney and bone for wild type control, Dmp1−/−, Klotho deficient (kl/kl) and Dmp1−/−kl/kl animals. Findings Interestingly, Dmp1−/−kl/kl mice show a dramatic improvement of rickets and an identical serum biochemical phenotype to kl/kl mice (extremely high FGF23, hyperphosphatemia and reduced parathyroid hormone (PTH) levels). Unexpectedly, Dmp1−/−kl/kl mice presented elevated levels of apoptosis in osteocytes, endothelial and vascular smooth muscle cells in small and large blood vessels, and within the kidney as well as dramatic increase in ectopic calcification in all these tissues, as compared to kl/kl. Conclusion These findings suggest that DMP1 has an anti-apoptotic role in hyperphosphatemia. Discovering this novel protective role of DMP1 may have clinical relevance in protecting the cells from apoptosis in high-phosphate environments as observed in chronic kidney disease (CKD).
Research on OD Matrix Calculation Based on Quantum Behaved Particle Swarm Optimization Algorithm

Traffic information is so far less than the number of OD variables, that it is difficult to obtain the satisfactory solution. In this paper, a method based on Quantum behaved Particle Swarm Optimization (QPSO) algorithm is developed to obtain the global optimal solution. It designs the method based on QPSO algorithm to solve the OD matrix prediction model, lists the detailed steps and points out how to choose the PSO operator. Moreover, it uses MATLAB program-ming language to carry out the simulation test. The simulation results show that the method has higher efficiency and accuracy.
Sparsely correlated hidden Markov models with application to genome-wide location studies

MOTIVATION Multiply correlated datasets have become increasingly common in genome-wide location analysis of regulatory proteins and epigenetic modifications. Their correlation can be directly incorporated into a statistical model to capture underlying biological interactions, but such modeling quickly becomes computationally intractable. RESULTS We present sparsely correlated hidden Markov models (scHMM), a novel method for performing simultaneous hidden Markov model (HMM) inference for multiple genomic datasets. In scHMM, a single HMM is assumed for each series, but the transition probability in each series depends on not only its own hidden states but also the hidden states of other related series. For each series, scHMM uses penalized regression to select a subset of the other data series and estimate their effects on the odds of each transition in the given series. Following this, hidden states are inferred using a standard forward-backward algorithm, with the transition probabilities adjusted by the model at each position, which helps retain the order of computation close to fitting independent HMMs (iHMM). Hence, scHMM is a collection of inter-dependent non-homogeneous HMMs, capable of giving a close approximation to a fully multivariate HMM fit. A simulation study shows that scHMM achieves comparable sensitivity to the multivariate HMM fit at a much lower computational cost. The method was demonstrated in the joint analysis of 39 histone modifications, CTCF and RNA polymerase II in human CD4+ T cells. scHMM reported fewer high-confidence regions than iHMM in this dataset, but scHMM could recover previously characterized histone modifications in relevant genomic regions better than iHMM. In addition, the resulting combinatorial patterns from scHMM could be better mapped to the 51 states reported by the multivariate HMM method of Ernst and Kellis. AVAILABILITY The scHMM package can be freely downloaded from http://sourceforge.net/p/schmm/ and is recommended for use in a linux environment.
Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams

Phenological metrics are of potential value as direct indicators of climate change. Usually they are obtained via either satellite imaging or ground based manual measurements; both are bespoke and therefore costly and have problems associated with scale and quality. An increase in the use of camera networks for monitoring infrastructure offers a means of obtaining images for use in phenological studies, where the only necessary outlay would be for data transfer, storage, processing and display. Here a pilot study is described that uses image data from a traffic monitoring network to demonstrate that it is possible to obtain usable information from the data captured. There are several challenges in using this network of cameras for automatic extraction of phenological metrics, not least, the low quality of the images and frequent camera motion. Although questions remain to be answered concerning the optimal employment of these cameras, this work illustrates that, in principle, image data from camera networks such as these could be used as a means of tracking environmental change in a low cost, highly automated and scalable manner that would require little human involvement.
Performance evaluation of QoE in VoIP traffic under fading channels

Voice over IP (VoIP) and wireless networks are technologies that are receiving an increasing interest by both, the research community and the final users. For instance, the effect of layer two handoffs, delay constraints, channels with constant bit error rates, packet size, UDP traffic, TCP traffic, overheads from different layers, etc., have been exhaustively evaluated for VoIP over wireless networks. Surprisingly, the effect of the physical layer has been barely addressed in the related literature. This paper evaluates, via computer simulation, the effect of fading channels on VoIP traffic for IEEE 802.11 systems and its influence on the Quality of user Experience (QoE). We use the Nakagami-m propagation model in order to represent different physical radio propagation environments. A complete study about the effect of fading over system capacity, coverage range, and QoE is provided. To this end, we simulate several scenarios, with different codecs, different packetization time intervals, and different bandwidths. From the results achieved, we observe that fading channels have i) a severe impact on the network capacity, represented by a reduction in the maximum number of valid VoIP supported calls, ii) a reduction of the network coverage accepting VoIP calls, and iii) a degradation of the QoE evidenced by a reduction of the assessed Mean Opinion Score.