Miracle-dz/UniFAR-FTUs huggingface dataset:
Anxiety as a predictor of anorexia and bulimia risk: Comparison between universitaries of Baja California and Mexico City / Ansiedad como predictor del riesgo de anorexia y bulimia: Comparación entre universitarios de Baja California y Ciudad de México

Normal 0 21 false false false ES-MX JA X-NONE Abstract Although anxiety seems to be a constant in patients with eating disorders (ED), little is known about its interaction with other variables. Therefore, the main objective of this study was to compare the risk of anorexia nervosa (AN) and bulimia nervosa (BN) based on the sex of participants, degree of anxiety and city of residence. The study is a non-experimental and cross-sectional design. The sample was nonrandom and consisted of 857 college students (67% female and 33% male) with a mean age of 21.96 years ( SD = 4.84), 42% were Mexico City residents and 58% were from Ensenada city. Participants completed two self-report scales, one for assessing risk of AN and BN, and other to measure anxiety. The findings show that the degree of anxiety differs according to the city of residence, being higher in Ensenada city. In addition, a significant interaction was found between the variables; for instance, the risk of BN in Ensenada city residents increases as anxiety increases. Therefore, it is confirmed not only the importance of sex and anxiety on eating disorders, but also the interaction of these two variables with the city of residence. Normal 0 21 false false false ES-MX JA X-NONE Resumen Aunque la ansiedad parece ser una constante en los pacientes con trastorno de la conducta alimentaria , poco se sabe sobre su interaccion con otras variables. Por tanto, el objetivo principal de este estudio fue comparar el riesgo de anorexia nerviosa (AN) y bulimia nerviosa (BN) en funcion del sexo, el grado de ansiedad y la ciudad de residencia. Se trabajo con un diseno no experimental-transversal y una muestra no probabilistica conformada por 857 estudiantes universitarios (67% mujeres y 33% hombres), con edad promedio de 21.96 anos ( DE = 4.84), el 42 % residentes en la Ciudad de Mexico y el 58% en la ciudad de Ensenada. Los participantes completaron dos escalas de autoreporte, una para evaluar riesgo de AN y BN, y otra para medir la ansiedad. Los hallazgos evidencian que el grado de ansiedad difiere en funcion de la ciudad de residencia, siendo mayor en Ensenada. Ademas, se encontro una interaccion significativa entre las variables; por ejemplo, en los residentes en la ciudad de Ensenada, el riesgo de BN se incrementa cuando la ansiedad aumenta. Por tanto, se confirma no solo la relevancia del sexo y la ansiedad sobre los trastornos de la conducta alimentaria, si no tambien de la interaccion de dichas variables con la ciudad de residencia.
Evaluation of alternative methods for estimating reference evapotranspiration

Evapotranspiration is an important component in water-balance and irrigation scheduling models. While the FAO-56 Penman-Monteith method has become the de facto standard for estimating reference evapotranspiration (ETo), it is a complex method requiring several weather parameters. Required weather data are oftentimes unavailable, and alternative methods must be used. Three alternative ETo methods, the FAO-56 Reduced Set, Hargreaves, and Turc methods, were evaluated for use in Mississippi, a humid region of the USA, using only measurements of air temperature. The Turc equation, developed for use with measured temperature and solar radiation, was tested with estimated radiation and found to provide better estimates of FAO-56 ETo than the other methods. Mean bias errors of 0.75, 0.28, and -0.19 mm, mean absolute errors of 0.92, 0.68, and 0.62 mm, and percent errors of 22.5%, 8.5%, and -5.7% were found for daily estimates for the FAO-56 Reduced Set, Hargreaves, and Turc methods, respectively.
Are the Facts of UK Inflation Persistence to Be Explained by Nominal Rigidity or Changes in Monetary Regime?

It has been widely argued that in‡ation persistence since WWII has been widespread and durable and that it can only be accounted for by models with a high degree of nominal rigidity. We examine UK post-war data and …nd that the varying persistence it reveals is largely due to changing monetary regimes and that models with moderate or even no nominal rigidity are best equipped to explain it.
Modelling perceptual characteristics of prototype headphones

This study tested a framework for modelling of sensory descriptors (words) differentiating headphones. Six descriptors were included in a listening test with recordings of the sound reproductions of seven prototype headphones. A comprehensive data quality analysis investigated both the performance of the listeners and the suitability of the descriptors for modelling. Additionally, two strategies were investigated for modelling metrics describing these descriptors, both relying on specific loudness estimations of the test stimuli. The stability of the initially found metrics was tested with a bootstrap procedure to quantify the potential of the metrics for future predictions within the perceptual space spanned by the headphones. The most promising results were metrics for Bass, Clean and Dark-Bright with correlations values of r2 = 0.62, r2 = 0.58, and r2 = 0.90 respectively.
Visions for insect conservation and diversity: spanning the gap between practice and theory

Visions for insect conservation and diversity: spanning the gap between practice and theory YVES BASSET, BRADFORD A. HAWKINS and SIMON R. LEATHER 'Smithsonian Tropical Research Institute, Balboa, Ancon, Panama City, Republic of Panama, ^Department of Ecology & Evolutionary Biology, University of California, Irvine, CA, USA, ^Division of Biology, Imperial College London, Silwood Park Campus, Ascot, UK
Monitoring loan repayment among farmers in Techiman, Ghana : investigating the effect of cooperative farming system

The main objective of this research is to investigate the effects of cooperative farming system on farmers' loan repayment ability since many funding institutions prefer to deal with groups instead of individuals in the framing communities. Many research works in this field have studied factors influencing individual farmers towards loan repayment but this paper extends the investigations by looking at farmers in a group or cooperative system. Two separate set of data were collected to enhance the findings (primary and secondary coming from cooperative groups). Based on an independent sample test, it was revealed that, the two groups were significantly different and so the factors necessitating the two conditions were not the same. This actually made the research inconclusive and since the groups that were not able to pay were the focal point of this research, primary data was then collected from group members through a random selection. A binary choice model (the logistic model) was used in the analysis of the data. The result of this analysis indicated that, polarization of religious background, number of married personalities in a group, size of a group, gender balance of a group and the variety of crops cultivated by the group were some group characteristics that affected the loan repayment performance of the groups. It was eventually recommended that, financial institutions in Ghana; should not entertain cooperative groups of single sex, must look out for groups whose members subscribe to the same religious faith and must always consider smaller groups as against larger ones.
Science Education for the Twenty First Century

This paper argues that the dominant form of science education that is common across the world rests on a set of values that have no merit. Moreover, such practice has a negative impact on students’ attitudes to science. It makes the case that the primary goal of any science education should be to develop scientific literacy and explores what that might consist of and why such an education is necessary in contemporary society. It concludes by examining some of the challenges that such a change might require.
The Possible Chemosensitizing Effect of Different Doses of Indol-3-Carbinol on Transplantable Tumor Model Treated with Doxorubicin

Background: Ehrlich carcinoma is a transplantable tumor model used frequently in cancer studies. Doxorubicin (DOX) is one of the anthracyclines that is frequently used in treatment of various types of malignancies including breast, prostate and lung cancer. Indole-3-carbinol (I3C) is a phytochemical that was suggested to have potent anti-tumor and chemosensitizing effects. Objective: To detect the possible chemosensitizing effects of different doses of I3C on solid Ehrlich carcinoma (SEC) treated with DOX in mice. Materials and methods: One hundred and forty mice were divided into seven equal groups as follows: Control untreated group, solid Ehrlich carcinoma (SEC), SEC + DOX, SEC + I3C 1000 ppm, SEC + I3C 2000 ppm, SEC + DOX + I3C 1000 ppm and SEC + DOX + I3C 2000 ppm. Tumor volume, survival rate, tissue glutathione reductase (GR), tissue glutathione peroxidase (GPx), tissue tumor necrosis factor alpha (TNF-α) and tissue interleukin-6 (IL-6) were determined. Parts of the tumor were subjected to histopathological and immunohistochemical examination. Results: DOX and/or I3C produced significant increase in the survival rate, tissue GPx and tissue GR with significant decrease in tumor volume, tissue TNF-α and tissue IL-6 compared to SEC group. Moreover, they improved the histopathological changes with significant increase in tissue caspase-3 activity and p53 compared to SEC group. These effects were significant in DOX/I3C combination groups compared to the use of each of these drugs alone. Conclusion: I3Cin a dose dependent manner had a chemosensitizing effect against transplantable tumor model treated with DOX in mice and this might represent an adjuvant to the traditional drugs used in cancer chemotherapy.
Towards a “Conflict Free” Personality

The fundamental function of human brain and sensory organs, based on empirical experience, is to communicate what we visually perceive and what is significantly linked to memory. The Absolute nature of the physical world can be understood, by an epistemological study and retrospection of sense perception and memory. This analysis can be done by a few simple tests from day to day experiences. It is also done to identify the well-known EEG signal data of individual's waking, dream and deep sleep states. My study substantiates the fact, that in an absolute sense, the human brain receives the external reality of the physical world through sensory information. When a sensory neuron is excited by electromagnetic light waves or sound waves, or other external stimuli, the brain registers it. Except for routine matters, the knowledge [of physical world] received by the brain is relatively conflicting, unnecessary and non-scientific. This phenomenon could be attributed towards the making of a “Conflict free” personality though with a caution. “Knowledge must be practiced with wisdom”. Keywords: Brain, Neuroscience, Perception, Memory
Valuing the option to invest in an incomplete market

This paper considers the impact of entrepreneurial risk aversion and incompleteness on investment timing and the value of the option to invest. A risk averse entrepreneur faces the irreversible decision of when to pay a cost in order to receive a one-off investment payoff. The uncertainty associated with the investment payoff can be partly offset by hedging, but the remaining unhedgeable risk is idiosyncratic. Nested within our incomplete set-up is the complete model of McDonald and Siegel (Q J Econ 101:707–727, 1986) which assumes investment payoffs are perfectly spanned by traded assets. We find risk aversion and idiosyncratic risk erode option value and lower the investment threshold. Our main finding is that there is a parameter region within which the complete and incomplete models give differing investment signals. In this region, the option is never exercised (and investment never occurs) in the complete model, whereas the entrepreneur exercises the option in the incomplete setting. Strikingly, this parameter region corresponds to a negative implicit dividend yield on the payoff, and so this exercise behavior contrasts with conventional wisdom of Merton (Bell J Econ Manage 4:141–183, 1973) for complete markets. Finally, in this parameter region, increased volatility speeds-up investment and option values are not strictly convex in project value, in sharp contrast to the conclusion of standard real options models.
Re-examining the Privacy Paradox Through Cognitive Neuroscience Perspective

The concerns individuals express over the privacy of their personal information could inhibit them from disclosing their personal information, despite the benefits they may attain from doing so. However, while individuals' express privacy concerns, they still continue to disclose personal information. The actions of such individuals, known as the privacy paradox, suggests that there are factors are present which may influence or inhibit individuals from disclosing personal information. The aim of our study is to investigate the privacy paradox to better understand individuals' decisions to withhold or disclose personal information. We argue that individuals disclose personal information based on a cognitive disposition, which includes rational and emotional mental processes. We further posit that by adopting techniques, tools and theories from the cognitive neuroscience will help us better understand the privacy paradox.
Flutter and Thermal Buckling Analysis for Composite Laminated Panel Embedded with Shape Memory Alloy Wires in Supersonic Flow

The flutter and thermal buckling behavior of laminated composite panels embedded with shape memory alloy (SMA) wires are studied in this research. The classical plate theory and nonlinear von-Karman strain-displacement relation are employed to investigate the aeroelastic behavior of the smart laminated panel. The thermodynamic behaviors of SMA wires are simulated based on one-dimensional Brinson SMA model. The aerodynamic pressure on the panel is described by the nonlinear piston theory. Nonlinear governing partial differential equations of motion are derived for the panel via the Hamilton principle. The effects of ply angle of the composite panel, SMA layer location and orientation, SMA wires temperature, volume fraction and prestrain on the buckling, flutter boundary, and amplitude of limit cycle oscillation of the panel are analyzed in detail.
User Recommendation in Microblogs based on Interaction Networks and Contents

User recommendation on social networks is one of the most important service on social media. It generates more links between users, and users can communicate with more friends and efficiently correct information. User recommendation is one of the link prediction problems. There have been several methods based on graph structure and contents of users’ posts, but these features have not been well combined in previous methods. In this paper we propose two user recommendation methods that utilizes a random walk technique combined with contents similarities. We apply these methods to a Twitter dataset and compare their accuracy.
Credit Spread Forecasting using Higher Order Cumulants

Abstrct :The aim of this article is to throw the light on financial time series modeling when invariants don’t have Gaussian distribution. The first part of the article introduce the estimation method based on higher order cumulants and it’s efficiency. The second part provides empirical analysis of the cumulants based method as applied to modeling Credit Spread between 10-year AAA corporate bond yields and 10-year Treasury bond yields for the period 1991:01-2007:07.Comparison with dynamical regression model is provided in the third part of the paper. Regression is based on the following explanatory variables : U.S. leading index ,Russell 2000 returns , BBB bond price changes , interest rate swaps, exchange rates EUR/ USD, Repo- rates , S&P 500 returns and S&P 500 volatility, Treasury bill changes , liquidity index-TRSW ,LIBOR rates , Moody’s default rates, credit spread volatility and Treasury bills volatility, is also presented in the article. It is finally demonstrated that much of the information about variability of Credit Spread can be extracted from higher order cumulants.
Spin injection in ferromagnet-semiconductor heterostructures at room temperature (invited)

In this article we summarize our recent work on room-temperature spin injection in Fe/GaAs and MnAs/GaAs heterostructures. The most critical issue for injection of spin polarized electrons (holes) from the ferromagnet (FM) into the semiconductor (SC) is the control of the atomic arrangement at the FM/SC interface during molecular beam epitaxial growth of these rather dissimilar materials. For many years the formation of a magnetically dead layer at the Fe/GaAs interface has prevented spin injection. In addition to the accurate control of the FM/SC interface, the formation of a Schottky barrier between FM and SC for efficient spin injection via tunneling is the second critical issue for successful experiments. We describe in detail our approaches to solve these problems.
Comparative analysis of fuzzing frameworks and techniques in terms of effectiveness and deployment

Fuzz testing, or fuzzing, is a form of software testing where the implementation under test is exposed to unexpected or semi-valid inputs in the interest of robustness testing. Fuzzing frameworks can be utilized to develop fuzzing test suites. In this thesis, a comparative analysis was performed on different fuzzing frameworks including two freely distributed frameworks and one commercial solution. Three network protocols and a collection of software implementations utilizing these protocols were chosen as test targets. The protocols were File Transfer Protocol (FTP), Locator/ID Separation Protocol (LISP), and Session Initiation Protocol (SIP). A set of test environments was constructed for all the test targets. Fuzzing test suites for the chosen protocols were developed with the fuzzing frameworks. The test suites were executed towards the test targets and the results monitored closely. A set of metrics for the tests was defined, including effectiveness in terms of found crashes, code coverage, and run-time performance. The obtained test results show a clear distinction between the tested frameworks. The commercial solution was proven to offer best coverage, found most crashes, and it was overall the most flexible in terms of development and deployment. The others showed promise as well, but lacked in performance or effectiveness, overall quality, and had some shortcomings in development and deployment.
Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review

Breast cancer is the most common cancer among women around the world. Despite enormous medical progress, breast cancer has still remained the second leading cause of death worldwide; thus, its early diagnosis has a significant impact on reducing mortality. However, it is often difficult to diagnose breast abnormalities. Different tools such as mammography, ultrasound, and thermography have been developed to screen breast cancer. In this way, the computer helps radiologists identify chest abnormalities more efficiently using image processing and artificial intelligence (AI) tools. This article examined various methods of AI using image processing to diagnose breast cancer. It was a review study through library and Internet searches. By searching the databases such as Medical Literature Analysis and Retrieval System Online (MEDLINE) via PubMed, Springer, IEEE, ScienceDirect, and Gray Literature (including Google Scholar, articles published in conferences, government technical reports, and other materials not controlled by scientific publishers) and searching for breast cancer keywords, AI and medical image processing techniques were extracted. The results were provided in tables to demonstrate different techniques and their results over recent years. In this study, 18,651 articles were extracted from 2007 to 2017. Among them, those that used similar techniques and reported similar results were excluded and 40 articles were finally examined. Since each of the articles used image processing, a list of features related to the image used in each article was also provided. The results showed that support vector machines had the highest accuracy percentage for different types of images (ultrasound =95.85%, mammography =93.069%, thermography =100%). Computerized diagnosis of breast cancer has greatly contributed to the development of medicine, is constantly being used by radiologists, and is clear in ethical and medical fields with regard to its effects. Computer-assisted methods increase diagnosis accuracy by reducing false positives.
Control of a Three-dof Robotic Gripper for Space Applications

In this paper we present an experimental activity for the validation of a robotic gripper for space applications, currently under development at the University of Bologna with the support of ASI, the Italian Space Agency. The gripper is compatible with the EUROPA arm, developed by ASI and Tecnospazio, and also with PaT, the Payload Tutor, proposed again by ASI. The kinematic structure and sensory equipment of this gripper have several interesting features, including the capability of firmly grasping objects with irregular shapes and with a rather wide range of dimensions, and the possibility of ‘exploring’ unknown objects or grasping free-flying objects by simultaneously applying the contact constraints.
PRESCHOOL REGULATION DOCUMENTS IN ITALY ON MOTOR IMAGERY, OPEN LOOP, CLOSED LOOP AND DIDACTICS OF MOVEMENT

Purpose. To identify into the Preschool ministerial documents the educational activities and didactic on pedagogy of body and movement and the new neurological discoveries on motor control and learning Methods. Theoretical-argumentative approach about scientific paradigms on motor control and learning and historical-documentary one about the ministerial documents on teaching activities Results. Particular aspects, which can be connected to the new neurological theories, do not carry out. All ministerial documents does not provide any reference of motor imagery, open loop, closed loop and didactics of movement Conclusions. It may be useful to deepen further the study and deliver the results to the governmental experts for the necessary updates to fill up the vacuum
Approaches to Measuring the Effectiveness of Marketing Activities

Purpose of the article: The purpose of this paper is to find metric from reviewed studies which organization use to measuring own marketing activities with following separating into financial metrics and non-financial metrics. Scientific aim: Scientific aim of this article is based on the relationships between different kinds of metrics for measurement of corporate performance and effectiveness. Methodology/methods: The paper presents advance in useable metrics, especially financial and nonfinancial metrics. Selected studies, focusing on different branches and different metrics, were analyzed by the authors. Findings: The results of the study are describing relevant metrics to prove efficiency in varied types of organizations in connection with marketing effectiveness. The studies also outline the potential methods for further research focusing on the application of metrics in a diverse environment. Conclusions: (limits, implications etc) Conclusions includes identification of different approaches to individual metrcs, especially marketing metrics.