Miracle-dz/UniFAR-FTUs huggingface dataset:
An Accelerator-based Architecture Utilizing an Efficient Memory Link for Modern Computational Requirements

Hardware implementation of many of today's applications such as those in automotive, telecommunication, bio, and security, require heavy repeated computations, and concurrency in the execution of these computations. These requirements are not easily satisfied by existing embedded systems. This paper proposes an embedded system architecture that is enhanced by an array of accelerators, and a bussing system that enables concurrency in operation of accelerators. This architecture is statically configurable to configure it for performing a specific application. The embedded system architecture and architecture of the configurable accelerators are discussed in this paper. A case study examines an automotive application running on our proposed system.
A Schrödinger-Poisson Solver for Modeling Carbon Nanotube FETs

We present details of a coupled Schrodinger-Poisson solver for modeling quantum transport efiects in carbon nanotube fleld-efiect transistors. The Poisson solution is efiected using a two-dimensional flnite difierence al- gorithm in a coaxial structure with azimuthal symme- try. The Schrodinger solution is implemented by the scattering matrix method, and the resultant, spatially unbounded wavefunctions, deflned on the nanotube sur- face, are normalized to the ∞ux computed by the Lan- dauer formula. The solver illustrates the need for de- tailed modeling of the nanotube due to the impact of interference efiects and evanescent modes on the carrier proflles. Non-equilibrium carrier distributions are pre- sented for particular cases.
Accurately predicting the escape fraction of ionizing photons using rest-frame ultraviolet absorption lines

The fraction of ionizing photons that escape high-redshift galaxies sensitively determines whether galaxies reionized the early universe. However, this escape fraction cannot be measured from high-redshift galaxies because the opacity of the intergalactic medium is large at high redshifts. Without methods to indirectly measure the escape fraction of high-redshift galaxies, it is unlikely that we will know what reionized the universe. Here, we analyze the far-ultraviolet (UV) H I (Lyman series) and low-ionization metal absorption lines of nine low-redshift, confirmed Lyman continuum emitting galaxies. We use the H I covering fractions, column densities, and dust attenuations measured in a companion paper to predict the escape fraction of ionizing photons. We find good agreement between the predicted and observed Lyman continuum escape fractions (within $1.4\sigma$) using both the H I and ISM absorption lines. The ionizing photons escape through holes in the H I, but we show that dust attenuation reduces the fraction of photons that escape galaxies. This means that the average high-redshift galaxy likely emits more ionizing photons than low-redshift galaxies. Two other indirect methods accurately predict the escape fractions: the Ly$\alpha$ escape fraction and the optical [O III]/[O II] flux ratio. We use these indirect methods to predict the escape fraction of a sample of 21 galaxies with rest-frame UV spectra but without Lyman continuum observations. Many of these galaxies have low escape fractions ($f_{\rm esc} \le 1$\%), but 11 have escape fractions $>1$\%. The methods presented here will measure the escape fractions of high-redshift galaxies, enabling future telescopes to determine whether star-forming galaxies reionized the early universe.
Global Sustainability Accounting—Developing EXIOBASE for Multi-Regional Footprint Analysis

Measuring progress towards sustainable development requires appropriate frameworks and databases. The System of Environmental-Economic Accounts (SEEA) is undergoing continuous refinement with these objectives in mind. In SEEA, there is a need for databases to encompass the global dimension of societal metabolism. In this paper, we focus on the latest effort to construct a global multi-regional input-output database (EXIOBASE) with a focus on environmentally relevant activities. The database and its broader analytical framework allows for the as yet most detailed insight into the production-related impacts and "footprints" of our consumption. We explore the methods used to arrive at the database, and some key relationships extracted from the database.
Mortality Risk Associated With Personality Facets of the Big Five and Interpersonal Circumplex Across Three Aging Cohorts.

OBJECTIVE To address the common reliance on the global Big Five domains in the personality and longevity literature, the present study examined mortality risk associated with sub-dimensions of Big Five domains as well as specific traits within the Interpersonal Circumplex (IPC) model of personality. METHODS Data were drawn from three major longitudinal studies of aging that administered the NEO-PI R, a comprehensive measure of the Big Five, and comprised a total of 4,223 participants. Item Response Theory (IRT) models were used to generate latent trait scores for each of the 30 Big Five facets and eight scales from the IPC. Pooled mortality risk estimates were obtained from demographic-adjusted Cox regression models within each study. RESULTS With a high degree of consistency, the Vulnerability facet of Neuroticism was associated with higher mortality risk and the Activity facet of Extraversion, with lower risk. None of the Openness or Agreeableness facets were associated with mortality, although the IPC scales submissiveness and hostile submissiveness were linked with elevated risk. All but one of the facets in the Conscientiousness domain were robustly and consistently associated with lower mortality risk. CONCLUSIONS Findings indicate that specific facets of Neuroticism and Extraversion carry greater or lesser mortality risk. Broad composite scales averaging across all facets mask important personality risk factors. In contrast, nearly all facets within the Conscientiousness domain confer protection against mortality. Finally, the IPC model may capture more nuanced interpersonal risk factors than the facets of Big Five Agreeableness or Extraversion. Understanding of the role of personality in longevity requires a more precise approach to conceptualization and measurement than broad, composite constructs usually provide.
Keep Rogue IoT Away: IoT Detector Based on Diversified TLS Negotiation

As Internet-of-Things (IoT) devices went popular in recent years, they have become ideal targets for malicious botnet activists. Due to the low cost nature of most IoT devices, the security protection among these cheap devices is often insufficient. Some network cameras are shipped to the market with default passwords, and botnets can conduct the password brute force attack against these IoT devices. Mirai botnet is a typical IoT botnet which uses compromised IoT devices to conduct such attack. Most IoT devices run a Web service on these devices as the configuration interface for their administrators. Such visiting coming from other strange IoT devices are basically undesired. To detect client-side IoT devices becomes necessary so that these domestic IoT devices can reject connections from foreign strange IoT devices to avoid potential brute force attack or vulnerability mining. This study proposes an approach, named IoTClientDetector, using the diversity of client-side TLS negotiation time to detect client IoT devices. IoTClientDetector is constructed and modeled by four representative sample devices. The evaluation of this study shows that the HTTPS server deployed with IoTClientDetector performing ECDHE RSA TLS negotiation with 4096-bit RSA key length can precisely detect client-side IoT devices with true positive rate of around 95% and false positive rate of only 7.8%.
Enzymatic Characterization of Wild-Type and Mutant Janus Kinase 1

Janus kinases (JAKs) are found constitutively associated with cytokine receptors and are present in an inactive state prior to cytokine exposure. Activating mutations of JAKs are causative for a number of leukemias, lymphomas, and myeloproliferative diseases. In particular, the JAK2V617F mutant is found in most human cases of polycythemia vera, a disease characterized by over-production of erythrocytes. The V617F mutation is found in the pseudokinase domain of JAK2 and it leads to cytokine-independent activation of the kinase, as does the orthologous mutation in other JAK-family members. The mechanism whereby this mutation hyperactivates these kinases is not well understood, primarily due to the fact that the full-length JAK proteins are difficult to produce for structural and kinetic studies. Here we have overcome this limitation to perform a series of enzymatic analyses on full-length JAK1 and its constitutively active mutant form (JAK1V658F). Consistent with previous studies, we show that the presence of the pseudokinase domain leads to a dramatic decrease in enzymatic activity with no further decrease from the presence of the FERM or SH2 domains. However, we find that the mutant kinase, in vitro, is indistinguishable from the wild-type enzyme in every measurable parameter tested: KM (ATP), KM (substrate), kcat, receptor binding, thermal stability, activation rate, dephosphorylation rate, and inhibitor affinity. These results show that the V658F mutation does not enhance the intrinsic enzymatic activity of JAK. Rather this data is more consistent with a model in which there are cellular processes and interactions that prevent JAK from being activated in the absence of cytokine and it is these constraints that are affected by disease-causing mutations.
Identifying Strategic Groups: An Assessment in Mexican Franchises

The formation of strategic groups in the franchising sector has been previously documented in the context of different countries. Our proposal is the franchise industry in Mexico should be formed by groups of differentiated franchisors. The identification and analysis of the different strategic groups formed in the franchise system of the Mexican market is the objective of this research. Our evaluation was performed using the factor analysis technique in a sample of 167 franchises of national origin. Seven strategic dimensions supported by the theory of scarce resources and agency theory make up the existence of differentiated groups of franchisors in the Mexican market. Our research confirmed the identification of five strategic groups called: rapid growth, converters, experienced and international franchisors, high entry fees and expensive conservatives, which use differentiated strategies to compete in the Mexican market.
A focus group study of older adults’ perceptions and preferences towards web-based physical activity interventions

ABSTRACT Objective: To explore older adults’ perceptions and preferences for web-based physical activity interventions. Participants: Adults 65+ years were recruited via telephoning randomly selected households in Central Queensland, Australia. Methods: Six focus groups were conducted with a total of 46 adults 65+ years. Data were analyzed by qualitative content analysis. Results: This group of older adults liked websites that have links to information and included instructional videos and disliked websites that were hard to navigate. Many participants did not express an initial interest in web-based physical activity programs. The most common reason was that they did not have a computer or adequate internet connection. Some participants said they would be interested if it included a structured exercise program. When asked about preferences for web-based physical activity programs, this group preferred them to be simple and not cluttered, to include personalized advice, to include reminder check-ins and the ability to review goals after illness or injury. The most common preference for personalized advice in web-based interventions was that the information needs to be tailored to their existing injuries and illnesses. Conclusion: The findings from this study will inform the design of future web-based interventions specifically tailored to the needs of older people.
The Association and Significance of p53 in Gynecologic Cancers: The Potential of Targeted Therapy

Dysfunction of p53 is observed in the many malignant tumors. In cervical cancer, p53 is inactivated by degradation through the complex with human papilloma virus (HPV) oncoprotein E6 and E6-associated protein (E6AP), an E3 ubiquitin protein ligase. In endometrial cancer, overexpression of p53 in immunohistochemistry is a significant prognostic factor. A discrepancy between p53 overexpression and TP53 mutations is observed in endometrioid endometrial cancer, indicating that the accumulation of p53 protein can be explained by not only gene mutations but also dysregulation of the factors such as ERβ and MDM2. Furthermore, the double-positive expression of immunoreactive estrogen receptor (ER) β and p53 proteins is closely associated with the incidence of metastasis and/or recurrence. High-grade serous ovarian carcinoma (HGSC) arises from secretary cells in the fallopian tube. The secretary cell outgrowth (SCOUT) with TP53 mutations progresses to HGSC via the p53 signature, serous intraepithelial lesion (STIL), and serous intraepithelial carcinoma (STIC), indicating that TP53 mutation is associated with carcinogenesis of HGSC. Clinical application targeting p53 has been approved for some malignant tumors. Gene therapy by the adenovirus-mediated p53 gene transfer system is performed for head and neck cancer. A clinical phase III trial using MDM2/X inhibitors, idasanutlin (RG7388) combined with cytarabine, is being performed involving relapse/refractory acute myeloid leukemia patients. The use of adenoviruses as live vectors which encode wild-type p53 has given promising results in cervical cancer patients.
Swarm robotics: Robustness, scalability, and self-X features in industrial applications

Abstract Applying principles of swarm intelligence to the control of autonomous systems in industry can advance our ability to manage complexity in prominent and high-cost sectors—such as transportation, logistics, and construction. In swarm robotics, the exclusive use of decentralized control relying on local communication and information provides the key advantage first of scalability, and second of robustness against failure points. These are directly useful in certain applied tasks that can be studied in laboratory environments, such as self-assembly and self-organized construction. In this article, we give a brief introduction to swarm robotics for a broad audience, with the intention of targeting future industrial applications. We then present a summary of four examples of our recently published research results with simple models. First, we present our approach to self-reconfiguration, which uses collective adjustment of swarm density in a dynamic setting. Second, we describe our robot experiments for self-organized material deployment in structured and semi-structured environments, applicable to braided composites. Third, we present our machine learning approach for self-assembly, motivated as a simple model developing foundational methods, which generates self-organizing robot behaviors to form emergent patterns. Fourth, we describe our experiments implementing a bioinspired model in a robot swarm, where we show self-healing of damage as the robots collectively locate a resource. Overall, the four examples we present concern robustness, scalability, and self-X features, which we propose as potentially relevant to future research in swarm robotics applied to industry sectors. We summarize these approaches as an introduction to our recent research, targeting the broad audience of this journal.
SOC Oriented Electrochemical-Thermal Coupled Modeling for Lithium-Ion Battery

This paper proposes an electrochemical-thermal coupling model for state of charge (SOC) estimation of lithium-ion batteries (LIBs). In this paper, to solve two numerical problems in the quasi two-dimensional model of LIBs, a simplified one-dimensional model is built. Considering that the parameters in the model are affected by temperature, the internal parameters of the battery which obey the Arrhenius equation are introduced. Based on the simplified one-dimensional model, the electrochemical-thermal coupling model is built. Finally, an adaptive SOC observer based on electrochemical-thermal coupling model is designed. The simulation results show that the electrochemical-thermal coupling model can be effectively applied to SOC estimation.
The Relationships between Prenatal Attachment, Basic Personality Traits, Styles of Coping with Stress, Depression, and Anxiety, and Marital Adjustment Among Women in the Third Trimester of Pregnancy.

Objective The importance of prenatal attachment, probably as the initial attachment of a pregnant woman to the fetus and which turn into the maternal-baby attachment after birth, for the well-being of the newborn and mother is well known. The aim of the present study was to explore the possible socio-demographic and clinical factors (personality features, styles used in coping with stress, depression, and situational anxiety levels, and marital adjustment) affecting maternal-fetal attachment. Materials and Methods Eighty women on their third trimesters of pregnancy were included in the study. After examination by a psychiatrist, a detailed socio-demographic form and scales including Prenatal Attachment Inventory, Basic Personality Traits Scale, Coping with Stress Attitudes Inventory, State-Trait Anxiety Inventory-1, Beck Depression Inventory (BDI), and Marital Adjustment Scale were applied. Results Educational level, marital adjustment, social support, and turning to religion as a coping mechanism with stress were found to be positively correlated with prenatal attachment scores. The duration of marriage and number of giving births and the avoidance/disengagement subscale of Coping with Stress Scale and BDI scores were negatively correlated with prenatal attachment scores. A BDI score of ≥17 (this score suggests moderate and/or severe symptoms of depression) was found to be an independent and a negative variable on prenatal attachment. Conclusion We suggest that the detection of symptoms of depression and other factors that may affect prenatal attachment, may help shed light to the interventions to be performed to improve the quality of maternal-fetal attachment by society and governments.
Multiresolution Spherical Wavelet Analysis in Global Seismic Tomography

Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the science of interpreting measurements to derive information about the structure of the Earth. Seismic tomography is the most powerful tool for determination of 3D structure of deep Earth's interiors. Tomographic models obtained at the global and regional scales are an underlying tool for determination of geodynamical state of the Earth, showing evident correlation with other geophysical and geological characteristics. The global tomographic images of the Earth can be written as a linear combinations of basis functions from a specifically chosen set, defining the model parameterization. A number of different parameterizations are commonly seen in literature: seismic velocities in the Earth have been expressed, for example, as combinations of spherical harmonics or by means of the simpler characteristic functions of discrete cells. With this work we are interested to focus our attention on this aspect, evaluating a new type of parameterization, performed by means of wavelet functions. It is known from the classical Fourier theory that a signal can be expressed as the sum of a, possibly infinite, series of sines and cosines. This sum is often referred as a Fourier expansion. The big disadvantage of a Fourier expansion is that it has only frequency resolution and no time resolution. The Wavelet Analysis (or Wavelet Transform) is probably the most recent solution to overcome the shortcomings of Fourier analysis. The fundamental idea behind this innovative analysis is to study signal according to scale. Wavelets, in fact, are mathematical functions that cut up data into different frequency components, and then study each component with resolution matched to its scale, so they are especially useful in the analysis of non stationary process that contains multi-scale features, discontinuities and sharp strike. Wavelets are essentially used in two ways when they are applied in geophysical process or signals studies: 1) as a basis for representation or characterization of process; 2) as an integration kernel for analysis to extract information about the process. These two types of applications of wavelets in geophysical field, are object of study of this work. At the beginning we use the wavelets as basis to represent and resolve the Tomographic Inverse Problem. After a briefly introduction to seismic tomography theory, we assess the power of wavelet analysis in the representation of two different type of synthetic models; then we apply it to real data, obtaining surface wave phase velocity maps and evaluating its abilities by means of comparison with an other type of parametrization (i.e., block parametrization). For the second type of wavelet application we analyze the ability of Continuous Wavelet Transform in the spectral analysis, starting again with some synthetic tests to evaluate its sensibility and capability and then apply the same analysis to real data to obtain Local Correlation Maps between different model at same depth or between different profiles of the same model.
Clinical outcomes of mitral valve intervention in patients with mitral annular calcification: A systematic review and meta‐analysis

Mitral valve (MV) disease with mitral annular calcification (MAC) poses a surgical challenge and the clinical outcomes of MV surgery as well as transcatheter mitral valve replacement (TMVR) remain relatively unexplored. We performed a systematic review and meta‐analysis to assess the effects of MAC on clinical outcomes following MV surgery and TMVR.
Riesgo de trastornos alimentarios y perfi l antropométricos en modelos profesionales de México Risk of eating attitudes and anthropometric profi le among professional fashion models of Mexico

ABSTRACTObjective: The aim of this study was to compare the risk of Eat-ing Disorders Behaviour (EDB), and its anthropometric proﬁ le, physical activity and alimentary intake between Mexican fash-ion models (FM) and control women Methods: We included 50 FM and 50 control women, of the same social group, all over 18 years old, from Guadalajara, Mexico, matched by age. We evaluated the risk of EDB with the Eating Attitudes Test (EAT-26); the anthropometric measures were taken according to the criteria of the International Society for the Advancement of Kinanthropometry (ISAK), 24-hour recall to estimate energy in-take and physical activities. Results: The risk prevalence of EDB was 10% for both groups. The mean and standard deviation of the percentage of body fat in FM was 22,4±2,lower than in the controls (27,8±4, p<0.001). There were no differences in anthropometric measurements in women with and without risk of EDB, except in the weight (FM without risk of EDB 56,3±3 kg and 59,9±3 kg with risk of EDB (p <0.02). Caloric intake in women with risk of EDB reduced was 1094± 208 kcal in FM versus 1269±435 kcal in control woman. Conclusion: The anthropometric measurements, alimentary intake and previous history of eating disorders, suggests that FM of Mexico are a vulnerable population for eating disorder.Key words: anorexia nervosa, bulimia nervosa, fashion models, body mass index; caloric intake|. Rev Chil Nutr Vol. 42, No4, Diciembre 2015