Miracle-dz/UniFAR-FTUs huggingface dataset:
Newton Method for Smart Grid

With the deepening of the research on smart grid, scholars have found a lot of different methods for solving this problem. In this paper, we present a new Newton method framework for solving the smart grid. We transformed the original smart grid model into the non-smooth constrained systems. And the Newton method is presented for solving this non-smooth constrained systems. INTRODUCTION In the recent years, along with social progress and the great change of the world economy, the study of power system has become one of the research hot spot in our country. The main idea for solving this problem is to combine the power system and the mathematical calculation and taking the original model transformed into mathematical method. In this paper, we present a new Newton method framework for solving the smart grid. Due to power cannot be stored, power supply and demand requirements in a state of balance. So one of the discussion of electric power market is how to proceed the management of demand under the situation of limited capacity in the short term and promote the increase of capacity in long term. Then real-time price mechanism is presented in [1-3]. Real-time pricing was formulated as maximization of social benefits among the customers and the energy provider. Matching supply to real-time demand is one of important concerns in power networks because of that electricity saving is a difficult task and should be consumed immediately after generation. ________________________ Ruiying Wang, Shouqiang Du, Zhimin Liu, College of Mathematics and Statistics, Qingdao University, Qingdao, China
Training Therapists to Treat the Psychological Consequences of Terrorism

Abstract In the wake of 9/11, the mental health community began to develop a model for recovery and preparedness. A public information campaign regarding the psychological consequences of terrorism was launched, and it succeeded in reducing the stigma of utilizing mental health services. However, as this campaign began to succeed, it became clear that most clinicians in the community had little training in evidence-based assessment and treatment procedures for the psychological sequelae of terrorism. This article describes the development, delivery, and initial assessment of one attempt to correct this problem by broadly disseminating an effective treatment for Post Traumatic Stress Disorder (PTSD). Using models of behavior change, we were able to study trainee attitudes and the training process in ways that will help improve training effectiveness beyond what traditional Continuing Professional Education (CPE) has been able to do.
A Comparative Study of the Concentration of Salivary and Blood Glucose in Normal and Diabetic Subjects

Advantage of saliva analysis are the ease of sample collection and that samples can be collected more frequently with much less stress on the patient. The objective of the present study was to comparatively evaluate the concentrations of saliva and fasting serum glucose in both normal and diabetic subjects. The mean salivary glucose level in diabetic patients was 15.66 ± 17.1 ㎎/㎗ and 1.78 ± 1.72 ㎎/㎗ (P = 0.0006) in the control group. The mean fasting serum glucose level in diabetic patients was 202.12 ± 66.91 ㎎/㎗, while that in the control group was 94.21 ± 14.97 ㎎/㎗ (P ＜ 0.0001). The 0.95 degree of correlation between salivary and fasting serum glucose could be demonstrated. The concentration of salivary and fasting serum glucose was not significant different betweeen the measurements for male and female. In the oral glucose tolerance test (75g), the glucose concentration in saliva progressively increased during the first 30 minutes of the test and then progressively decreased, reaching at minutes 120 ~ 180 lowest point as like fasting serum glucose concentration. We can conclude that salivary glucose concentration was significantly higher in the diabetic subjects and that there was significant correlation between salivary and fasting serum glucose concentration. Measurement of salivary glucose could be a useful test having good correlation between salivary and fasting serum glucose concentration
Image processing techniques to perform an autonomous system to translate relief braille into black-ink, called: Lectobraille

The principles of relief acquisition with the use of a camera and a frame memory controlled by a microcomputer are presented. The use of spatial filtering techniques, especially polynomial filtering, followed by median filtering, erosion, and dilatation, permits the contrasted relief to be extracted from the bottom. After thresholding, an adaptive recognition method is applied, using projection of the braille characters to supply the braille-coded chain of the text. <<ETX>>
Optimisation virtuelle d’un décor princier de la fin du xive siècle au château de Germolles (Saône-et-Loire)

La realite augmentee est actuellement testee au château de Germolles (Saone-et-Loire) – demeure de plaisance de la duchesse de Bourgogne Marguerite de Flandre, epouse de Philippe le Hardi –, afin de retranscrire aupres du grand public les dernieres recherches menees sur les peintures murales medievales redecouvertes dans les annees 1970 et en partie restaurees en 1989-1995. Celles-ci ont beneficie d’un travail de re-documentation conduit avec le soutien technique et financier de l’Action europeenne COST COSCH (COlour and Space in Cultural Heritage) et de la direction regionale des Affaires culturelles de Bourgogne - Franche-Comte. Il a permis de determiner le niveau d’authenticite des peintures, de caracteriser les decors presentant des traces de toles d’etain dore rehaussees de repeints et d’evaluer leur etat de conservation. Cet article reprend les resultats obtenus avant de preciser les conditions de mise en place de l’experience de realite augmentee. Les difficultes rencontrees sont decrites, comme les solutions techniques apportees. L’application etant d’ores et deja integree au parcours de visite, un premier retour d’experience des visiteurs du château est presente, et quelques perspectives sont discutees.
A Faster Gradient Ascent Learning Algorithm for Nonlinear SVM

We propose a refined gradient ascent method including heuristic parameters for solving the dual problem of nonlinear SVM. Aiming to get better tuning to the particular training sequence, the proposed refinement consists of the use of heuristically established weights in correcting the search direction at each step of the learning algorithm that evolves in the feature space. We propose three variants for computing the correcting weights, their effectiveness being analyzed on experimental basis in the final part of the paper. The tests pointed out good convergence properties, and moreover, the proposed modified variants proved higher convergence rates as compared to Platt’s SMO algorithm. The experimental analysis aimed to derive conclusions on the recognition rate as well as on the generalization capacities. The learning phase of the SVM involved linearly separable samples randomly generated from Gaussian repartitions and the WINE and WDBC datasets. The generalization capacities in case of artificial data were evaluated by several tests performed on new linearly/nonlinearly separable data coming from the same classes. The tests pointed out high recognition rates (about 97%) on artificial datasets and even higher recognition rates in case of the WDBC dataset.
Scent-Emitting Display Panel and Its Psychological Effects

We propose a new method in which scents are emitted through the display screen in the direction of the viewer to enhance the reality effect of the visual images. A thin LED display panel filled with tiny pores was made for this experiment and an air control system with a blower was placed behind the screen. We experimentally proved that the direction of airflow could be controlled and scents could properly travel through the pores to the front side of the screen aimed at the viewer. The effectiveness of the scents and the psychological effects were evaluated by the subjects' biological responses and answers to a questionnaire. By analyzing their biological responses, more significant changes in skin conductance were detected when the advertisements were presented with visuals and scents than with visuals alone. Therefore, we had a lot of good reasons to objectively evaluate the psychological effects of visuals with scents.
Primary and Secondary Amenorrhea

Puberty represents a particular period of life characterized by hormonal changes and physical and psychological modifications leading children from childhood to adolescence. During this period, menarche represents the most important event in females. Age of menarche is different among populations and has been recognized as an useful marker of socio-economic status, as well as dietary and environmental patterns (Chumlea et al., 2003; Swenson & Havens, 1987; Thomas et al., 2001). Generally, the first menstrual cycle takes place between 12 and 13 years of age, with 98% of girls having menarche by 15 years of age (Diaz, 2006). The normal range for menstrual cycles is between 21 and 45 days, with flow length varying from 2 to 7 days (Flug et al., 1984; World Health Organization Task Force on Adolescent Reproductive Health, 1986). During the first 2 years after menarche, menses length is often abnormal due to immaturity of the hypothalamic-pituitary-ovarian axis (Diaz, 2006); however, cycles range can be regular also in the first gynecologic year (Flug et al., 1984; World Health Organization Task Force on Adolescent Reproductive Health, 1986). Amenorrhea is defined as the complete absence or anomalous cessation of menstrual cycles in females during reproductive years. Just in three situations amenorrhea is considered physiological: during pregnancy, lactation and menopause. In all other situations, amenorrhea can be due to many pathological conditions and merits a careful assessment. Amenorrhea is classified as primary and secondary according to its occurrence before or after menarche, respectively (The Practice Committee of American Society for Reproductive Medicine, 2008). Amenorrhea is defined primary when menarche does not occur by the age of 16 years in a girl with complete secondary sexual development, or by the age of 14 years in a girl without secondary sexual development. Amenorrhea is defined secondary when menstrual cycles disappear for 6 consecutive months in a girl with irregular menses or for 3 consecutive months in a girl with regular menses (Deligeoroglou et al., 2010). According to the American Society for Reproductive Medicine, currently in literature many causes of amenorrhea have been recognized (The Practice Committee of American Society for Reproductive Medicine, 2008), including: • anatomic defects of the genital tract • hypothalamic/pituitary causes • ovary insufficiency • endocrinopathies • chronic oligoor anovulation
Analysis on Hinglish Opinion Using Multinomial Naive Bayes Algorithm

Sentimental Analysis is the study that analyses people’s sentiments, appraisals, attitudes, and emotions towards entities such as products, services, organizations, individuals, issues, events, the topics, and their attributes. These days, the latest mobile devices and websites are interpreting mashup language based keyboards; this has enabled many users to express their opinions and views about products in ‘Hinglish’. This research is focused on conducting sentimental analysis of ‘Tweets’ written in Hinglish mashup language. The system built here is highly accurate as it is on Multinomial Naive Bayes algorithm that uses machine learning as basis to classify positive, negative or neutral opinion of products safety. The results obtained using that system has high true positive rate and low false rate as compared to previous Naive Bayes algorithm.
Artificial chemistry: Basic concepts and application to combinatorial problems

In artificial chemistry (ACHEM), the objects (molecules) are data and the interactions (reactions) among them are driven by an algorithm. An object expresses its duality as it can appear as a machine (operator) or as a data (operand). Thus an object can process other objects or it can be processed. This dualism of objects enables us to implicitly define a constructive computational procedure using chemistry as metaphor to solve complex real-world problems. In this paper we introduce ACHEM as a distributed stochastic algorithm that simulates reaction systems of algorithmic objects inspired by natural chemical systems. Then we apply ACHEM to find solutions to the traveling salesman problem. Results show that ACHEM is an example of the successful use of a natural metaphor to design an optimization algorithm.
Percepción materna del estado nutricional de sus hijos que acuden a un consultorio pediátrico, Asunción, 2018

Introducción: La percepción de la madre acerca del estado nutricional de su hijo es clave para el éxito o fracaso de las medidas preventivas o terapéuticas a implementar en relación a la obesidad. El objetivo de este trabajo fue evaluar la concordancia entre la percepción de las madres acerca del estado nutricional de sus hijos y su estado nutricional real. Materiales y Métodos: Estudio observacional, descriptivo con componente analítico, trasversal. La percepción materna del estado nutricional del hijo fue comparada con el índice de masa corporal real. Los datos fueron expresados en porcentajes. La concordancia se determinó a través del coeficiente Kappa de Cohen (p£0,05). Para evaluar los factores asociados con la falla de la madre en percibir correctamente el estado nutricional de su hijo se realizó el análisis de regresión logística bivariada y mutivariado con los factores significativos. Resultados: Fueron evaluados 636 pacientes, 54% masculinos, con edad media de 10 años. Se encontraban con peso adecuado 57%, bajo peso 9%, sobrepeso 22% y obesidad 11%. El 59,9% de las madres clasificaron correctamente el estado nutricional de su hijo, kappa 0,09 (p=0,0003). Los factores asociados significativamente con la falla de la madre en percibir correctamente el estado nutricional de su hijo fueron: el sexo masculino (OR 1,54), edad entre 4 a 9 años (OR 1,92), edad entre 9 a 14 años (OR 1,23) e Indice de Masa Corporal – Z score para edad y sexo (OR 2,04). El análisis multivariado mostró valores similares (p£0,001). Conclusión: Aproximadamente el 60% de las madres clasifican el estado nutricional de sus hijos de manera correcta. Sin embargo, los niños con sobrepeso y obesidad son reconocidos por sus madres como tales sólo en un 31% de los casos. Se considera estos hallazgos como de gran importancia para el éxito de los programas de intervención en obesidad. Correspondencia: Leticia Ramírez Pastore; Correo: letty.ramirez@hotmail.com Conflicto de interés: Los autores declaran no poseer conflicto de interés Recibido: 13/11/2018; Aceptado: 12/12/2018
Recovery Pattern of Dysphagia in Lateral Medullary Infarction- A Case Report

This report concerns about a 75 yrs, old male suffered from refractory dysphagia after Acute Ischemic stroke. He admitted in Medanta Hospital in emergency ward with History of Acute Ischemic strokeRight Lateral Medullary Infarct, Aspiration Pneumonitis and sepsis (resolved). After 5 days the patient received clinical bed side swallow evaluation and graded with Level-1 based on National Outcomes measurements systems (NOMS) and was showing with severe Aspiration. Then he recommended for intensive swallow therapy but the patient was discharged on Level-1 based on NOMS and stopped doing the exercises then later after 2months he came to the hospital and received combined swallow therapy and achieved a good improvement in deglutition and was graded with level-7 based on NOMS. Conclusion: combination of vital stim electrical therapy and swallow therapy has greater effect on deglutition disorder in patients with LMS. Abbreviations: NOMS: National Outcomes measurements systems; WA: Wallenberg’s Syndrome; VA: Vertebral Artery; PICA: Posterior Inferior Cerebellar Artery; NTS: Nucleus Tractus Solitaries; NA: Nucleus Ambiguous; LMS: Lateral Medullary Stroke; NMES: Neuromuscular Electrical Stimulation; RTF: Ryle’s Tube Feeding; NG tube: Nasogastric tube; NJ: Nasojejunal Tube; FDA: Food and Drug Administration; GCS: Glasgow Coma Scale; MRI: Magnetic Resonance Imaging; CT: Computed Tomography
Model predictive control for deeply pipelined field-programmable gate array implementation: algorithms and circuitry

Model predictive control (MPC) is an optimisation-based scheme that imposes a real-time constraint on computing the solution of a quadratic programming (QP) problem. The implementation of MPC in fast embedded systems presents new technological challenges. In this paper we present a parameterised field-programmable gate array implementation of a customised QP solver for optimal control of linear processes with constraints, which can achieve substantial acceleration over a general purpose microprocessor, especially as the size of the optimisation problem grows. The focus is on exploiting the structure and accelerating the computational bottleneck in a primal-dual interior-point method. We then introduce a new MPC formulation that can take advantage of the novel computational opportunities, in the form of parallel computational channels, offered by the proposed pipelined architecture to improve performance even further. This highlights the importance of the interaction between the control theory and digital system design communities for the success of MPC in fast embedded systems.
La meteorología y su comunicación en Facebook. Análisis aplicado al caso español

Actualmente Facebook sigue siendo la red social mas empleada a nivel mundial. En el marco de las ciencias sociales, sobre todo, existen ya un buen numero de trabajos que estudian diferentes aspectos relacionados con esta red, no habiendo tantos, en cambio, en el caso de otras ciencias. Esta investigacion analiza, por primera vez, la presencia de la Meteorologia y su comunicacion en Facebook en el caso de Espana. Para ello se realiza un analisis cuantitativo y de contenido de las paginas existentes sobre esta disciplina en Espana, centrando la atencion, en especial, en el «engagement» generado. Los resultados obtenidos muestran basicamente dos tipos de paginas: las de los servicios oficiales de Meteorologia y las de los usuarios particulares o aficionados, con caracteristicas diferenciadas en cada caso, observandose una mayor concentracion en el ambito de las regiones mediterraneas. El formato mayoritario de las publicaciones de dichas paginas es en forma de imagenes (62%). La investigacion ha revelado un gran potencial de utilizacion y aplicacion de la Meteorologia en Facebook que todavia esta por explotar, asi como una ausencia manifiesta de estrategias planificadas de comunicacion con los usuarios.
Geospatial Information Retrieval Base on Query Expansion and Semantic Indexing

Accepted: 24.11. 2015 In this paper, a hybrid approach is developed for geospatial information retrieval which combines query expansion (QE) and latent semantic indexing (LSI) methods. The hybrid method uses the advantages of Query Expansion and Semantic indexing methods for improving search results. LSI establishes relations depending on the similarities between queries and the documents where QE helps by adding extra similar terms to the queries. The dataset is populated using data extracted from Wikipedia and USGS (The United States Geological Survey). Automation is programmed to get all the information from the web and to extract the meaningful words. The significant terms are the name of the places, directions, and nearby locations. The dataset includes mountains and places with their latitudes, longitudes, locations and directions. The extracted data is also taken into Protege for semantically querying. The approach is applied to geographical data (popular search items on search engines), and by querying the data with the combination of LSI and QE more related results are handled than the results of methods when they are applied alone. Many queries are run, and the results are listed and compared. At the end of the study it is understood that the hybrid method considerably improves the search results.
Comparative evaluation of genetic algorithms for job-shop scheduling

Many optimization problems from the industrial engineering world, in particular the manufacturing systems, are very complex in nature and quite hard to solve by conventional optimization techniques. There has been increasing interest in imitating living beings to solve such kinds of hard optimization problems. Simulating the natural evolutionary process of human beings results in stochastic optimization tech niques called evolutionary algorithms, which can often outperform conventional optimization methods when applied to difficult real-world problems. There are currently three main avenues of this research: genetic algorithms (GAs), evolutionary programming (EP) and evolution strategies (ESs). Among them, genetic algorithms are perhaps the most widely known types of evolutionary algorithms today. During the past years, several GAs for the job-shop scheduling problems have been proposed, each with different chromosome representation. In this paper, the different GAs are collected from the literature and an attempt has been made to evaluate them. The benchmark problems available in open literature are used for evaluation and the performance measure considered is makespan. The algorithms are coded in C+ +.
The cost of child abuse in Australia

The Australian Childhood Foundation and Child Abuse Prevention Research Australia at Monash University commissioned Access Economics and collaborated with them to estimate the cost of child abuse (physical, sexual and emotional abuse, neglect and being forced to live with family violence). Two different types of costs were calculated using two separate approaches. The calculations made throughout the report have been chosen specifically to be inherently conservative in order to ensure that final results are not inflated or disputable. Authors: Taylor, P., Moore, P., Pezzullo, L. , Tucci, J., Goddard, C. and De Bortoli, L.
Responsabilité d'entreprise et innovation : entre exploration et exploitation

Si certains auteurs considerent que la conscience environnementale et/ou societale peut stimuler l’innovation dans une organisation, d’autres y voient une contrainte supplementaire amenant de nouvelles barrieres a l’innovation. Afin d’apporter notre contribution a ce debat, nous analysons dans cet article les interactions possibles entre responsabilite et innovation. Pour ce faire, nous faisons la difference entre l’amelioration continue, issue d’une politique d’exploitation des acquis, et l’innovation (radicale), provenant de l’exploration de nouveautes. Nous soulignons aussi l’importance de l’alignement entre les actions responsables et la strategie de l’entreprise. L’analyse de rapports de responsabilite d’entreprises des secteurs IT et pharmaceutiques semble montrer que cet alignement est pris en compte par les entreprises. Cela se traduit cependant davantage en actions visant a mieux exploiter des affaires actuelles qu’en l’exploration des opportunites futures d’affaires. A la suite de cette analyse de rapports de responsabilite, nous mettons en evidence quatre postures de l’entreprise responsable en matiere d’innovation, en fonction de deux dimensions : le niveau d’integration de la responsabilite dans la strategie d’entreprise et le degre d’innovation, entre exploitation et exploration.