bluuebunny/crossref_metadata_2025 huggingface dataset:
Agresja dzieci w świetle teorii społeczno-poznawczej
Authors: Fronczak Adrianna Alicja
Published: July 2017

Autorka porusza tematykę rodzajów i form zachowań agresywnych oraz mechanizmów powstawania agresji u dzieci. Przedstawia także założenia społeczno-poznawczego modelu pracy z agresywnymi dziećmi. Artykuł skierowany jest przede wszystkim do osób pracujących z dziećmi, zaniepokojonych ich agresywnymi zachowaniami w sytuacji kiedy dotychczas wykorzystane metody pracy nie są wystarczająco efektywne.
Czynniki warunkujące samoocenę nieletnich umieszczonych w młodzieżowych ośrodkach wychowawczych
Authors: Konaszewski Karol , Sosnowski Tomasz
Published: July 2017

W artykule przedstawiono analizę wyników badań przeprowadzonych wśród nieletnich (chłopców i dziewcząt) w przypadku których sąd rodzinny zastosowało środek wychowawczy w postaci umieszczenia w Młodzieżowym Ośrodku Wychowawczym. Celem badania było sprawdzenie czy istnieje korelacja między samooceną, cechami osobowościowych i czynnikami środowiskowymi (czynnikami wspierającymi i czynnikami ryzyka), wśród nieletnich dziewcząt i chłopców. Łącznie przebadano 481 nieletnich przebywających w młodzieżowych ośrodkach wychowawczych. Zastosowane narzędzia badawcze to: Skala Samooceny Rosenberga (SES), w polskiej adaptacji I. Dzwonkowskiej, M. Łaguny i K. Lachowicz-Tabaczek. NEO-FFI (P.T. Costy i R.R. McCrae) został użyty do diagnozowania cech osobowości (został on zaadaptowany przez B. Zawadzkiego, J. Strelau, P. Szczepaniaka, M. Śliwińską) oraz kwestionariusz czynników wsparcia i czynniki ryzyka, który został skonstruowany do pomiaru czynników środowiskowych. Analiza regresji wykazała, że istotnymi predyktorami samooceny nieletnich były neurotyczność, ekstrawersja, sumienność i negatywne relacje w szkole. W grupie dziewcząt znaczącymi predyktorami samooceny były neurotyczność, sumienność, wsparcie rodziny i negatywne relacje w szkole, podczas gdy w grupie chłopców istotnymi predyktorami samooceny były neurotyczność, ekstrawersja i negatywne relacje w rodzinie.
La difícil (y agradable) tarea de publicar un trabajo científico
Authors: Saranz RJ
Published: July 2017

Escribir un artículo científico no resulta una tarea fácil. La realización de una investigación original implica una serie reglada de pasos desde la observación, el diseño del protocolo de estudio, el reclutamiento de datos, la estadística adecuada, la elección de la bibliografía de calidad, el respeto de la ética y finalmente, la escritura de un manuscrito para su publicación, paso final de todo objetivo científico, para someterlo a la crítica de revisores y, de ser publicado, a la consideración de pares.
Evaluación del conocimiento de la técnica de aerosolterapia con aerocámara por el equipo de salud pediátrico
Authors: Antoniazzi MF , Lozano NA , Lozano A , Saranz RJ , Berardi YV
Published: July 2017

INTRODUCCIÓN: Los medicamentos inhalados son la base de la terapia para patologías
respiratorias. La técnica inhalatoria es un factor condicionante de su éxito terapéutico. El error
más frecuente en aerosolterapia es en la técnica y su principal consecuencia es la disminución
de medicación que llega a la vía aérea.
OBJETIVO: evaluar el conocimiento y el método de instrucción que tiene el equipo de salud
pediátrico sobre la técnica de aerosolterapia con aerocámara para niños menores de 6 años.
MATERIAL Y MÉTODO: estudio transversal, analítico. Se realizó una encuesta. Incluyó a
profesionales de la salud que ejercen en el área pediátrica. Se realizó estadística descriptiva y
comparativa. Se consideró significancia estadística p<0,05.
RESULTADOS: Se incluyeron 71 profesionales. La técnica de aerosolterapia con aerocámara
fue MUY BUENA en 15,49% (IC95% 8,8-25,65), BUENA en 70,42% (IC95% 58,98-79,77) y
REGULAR en 14,08% (IC95% 7,83-24,02) profesionales.
La mediana de pasos realizados correctamente fue de 5 de 7 pasos.
La herramienta más utilizada para instruir sobre la técnica de aerosolterapia con aerocámara
fue la “demostración”. El 39,44% y el 21,13% de los profesionales utilizaron la combinación de
2 y 3 metodologías para la instrucción de la técnica, respectivamente.
CONCLUSIONES: El conocimiento de la técnica de aerosolterapia del equipo de salud es
bueno. La mayoría de los profesionales de la salud utilizó la demostración como herramienta
de transmisión de la técnica de aerosolterapia. Más de la mitad de los profesionales
combinaron herramientas para instruir sobre aerosolterapia.
The Readiness of Indonesiaâ€™s Banks Facing ASEAN Economic Community (AEC)
Authors: Kemu Suparman Zen
Published: July 2017

The ASEAN Economic Community (AEC) declared in 2003 in Bali has begun in 2015. The main agenda of the AEC is a single market and production base that includes freight traffic, goods, services, investment, labor and capital. The financial sector is a sector whose implementation is allowed to be leased until 2020 before being fully implemented. In the banking sub-sector is agreed a scheme known as the ASEAN Banking Integration Framework (ABIF) in which ASEAN banks that meet the criteria as Qualified ASEAN BANK (QAB) can participate in the ABIF scheme. The QAB criteria are: (i) well managed (ii) have sufficient capital (iii) obtain recommendation from the authorities, (iv) pass the Basel provisions and (v) be considered important banks in the country of origin To see the readiness of Indonesiaâ€™s banks to participate in the ABIF mechanism, the authors conducted a study to answer the question of whether Indonesiaâ€™s banks are ready to participate in the ABIF mechanism. The methodologies used by the authors are to determine some criteria against the condition of Indonesiaâ€™s banks such as financial ratios and bank health, which then the authors compare to the conditions of banks in other neighboring ASEAN countries. The result is that Indonesiaâ€™s banks in particular the QAB category are ready to participate in the ABIF mechanism whose implementation will begin in full by 2020.
Analgesia and sedation in surgery Intensive Care Unit (ICU)
Authors: Maric Sanja , Boskovic Dalibor
Published: July 2017

The goals of analgesia and sedation at the intensive care unit (ICU) are to
facilitate mechanical ventilation, prevent patient and caregiver injury, and
avoid the psychological and physiologic consequences of inadequate treatment
of pain, anxiety, agitation, and delirium. Most ICU patients, especially the
surgical and trauma ones, routinely experience pain at rest and with routine
procedures. Treating pain in ICU patients depends on a clinician?s ability to
perform a reproducible pain assessment and to monitor patients over time to
determine the adequacy of therapeutic interventions to treat pain.
Implementation of behavioral pain scales improves ICU pain management and
clinical outcomes, including better use of analgesic and sedative agents and
shorter durations of mechanical ventilation and ICU stay. Opioids are the
primary medications for managing pain in critically ill patients. Multimodal
approach to pain management in ICU patients has been recommended. Sedatives
are commonly administered to ICU patients to treat agitation and its negative
consequences. Sedation strategies using nonbenzodiazepine sedatives (propofol
or dexmedetomidine) may be preferred over sedation with benzodiazepines
(midazolam or lorazepam) to improve clinical outcomes in mechanically
ventilated adult ICU patients. It is recommend daily sedation interruption or
a light target level of sedation be routinely used in adult intensive care
patients using mechanical ventilation. Delirium affecting up to 80% of
mechanically ventilated adult ICU patients. ICU protocols that combine
routine pain and sedation assessments, with pain management and
sedation-minimizing strategies, along with delirium monitoring and
prevention, may be the best strategy for avoiding the complications of
oversedation. Protocolized pain, agitation and delirium assessment (PAD ICU),
is significantly associated with a reduction in the use of analgesic
medications, ICU length of stay, and duration of mechanical ventilation.
Perioperative complications of esophagectomy - prevention, diagnosis and management
Authors: Stojakov Dejan , Sabljak Predrag , Spica Bratislav , Velickovic Dejan , Sljukic Vladimir , Nenadic Brankica , Tomasevic Ljubica , Ðukanovic Marija , Ðuric-Stefanovic Aleksandra , Pesko Predrag
Published: July 2017

Esophageal resection with reconstruction is complex surgical procedure with
high rate of postoperative morbidity, with decreasing mortality rate during
last decades, particularly in high-volume hospitals. Numerous preoperative,
intraoperative and postoperative factors have contribute to incidence and
type of complications. Intraoperative haemorrhage and tracheobronchial
lesions could be avoid by good surgical judgement and operative technique.
Pulmonary complications are often, with multifactorial etiology, and they are
the main cause of postoperative mortality after esophagectomy. Dehiscence of
esophageal anastomosis could be fatal, and only high index of suspicion and
early diagnosis lead to successful treatment. In majority of such cases
conservative measures are successful, however, conduit necrosis is indication
for surgical reoperation. Vocal cord palsy due to intraoperative injury of
recurrent laryngeal nerves is not rare and increases pulmonary complications
rate. New onset of arrhythmia could be associate with other surgical
complications. Postesophagectomy chylothorax is life-threatening complication
due to rapid development of immunosuppression and septic complications, and
early ligation of thoracic duct is often mandatory. Intrathoracic herniation
of intrabdominal viscera is rare, and ischemic spinal cord lesions are very
rare after esophagectomy. Majority of perioperative complications could be
prevented or solved, decreasing mortality rate of esophagectomy.
Magnesium content in soil and roughages depending on soil type and forage crops
Authors: Jaksic Snezana , Vuckovic Savo , Vasin Jovica , Ninkov Jordana , Dozet Gordana , Zivanov Milorad , Banjac Dusana
Published: July 2017

The aim of this study is to examine the effects of soil type and forage crops
on the content of magnesium in soil and roughages, as well as forage quality
regarding Mg content for the prevention of animal disease ?tetany?. The trial
was carried out on chernozem and humogley under alfalfa and red clover.
Samples for determination of Mg content in plant and total Mg content in soil
were digested using the apparatus Milestone Ethos 1. The content of Mg was
determined using the apparatus ICP-OES Vista Pro-Axial Varian. The average
total Mg content in soil of the tested sites was 0.64%. Total Mg content in
chernozem was higher than in humogley. A higher total Mg content was in the
deeper horizon. A significant positive correlation was found between total Mg
content in soil and soil pH as well as the content of CaCO3. The average Mg
content in forage crops was 0.28%. A higher Mg content in the dry matter was
observed in crops grown on humogley. Mg content was significantly higher in
red clover. There was no risk for the occurrence of animal disease ?tetany?
regarding Mg content in crops, because the ratio K/(Ca+Mg) was below 2.2, and
K and Mg content in the dry matter of crops was below the critical value.
Economic analysis of tomato marketing in Ilorin metropolis, Kwara State, Nigeria
Authors: Salau Shehu , Salman Mohammed
Published: July 2017

Marketing of tomatoes is a complex phenomenon due to their perishable nature,
seasonality and bulkiness, and as such, tomato production requires an
efficient marketing system. Studies on tomato marketing in the study area are
rare in the literature. Thus, this study analysed tomato marketing in Kwara
State, Nigeria. A simple random sampling technique was used in the selection
of one hundred and twenty tomato marketers. A well-structured questionnaire
was used for data collection. Data collected were analysed using descriptive,
Herfindahl index, costs and returns analysis and multiple regression
analysis. The study revealed that most (70%) of the marketers were female
with mean age of 39.5 years. The Herfindahl index of 0.008 revealed that the
tomato market tended toward pure competition. Furthermore, tomato marketing
is a profitable venture in the study area with a monthly gross margin of
N310,095. The average rate of returns to total investment was 52.6%. This
implies that an average profit of N53k was realized on every naira invested
in vegetable marketing in the area. Moreover, the regression analysis
indicated that about 96% of the total variation in net returns was explained
by the independent variables. The study revealed that purchase cost, labour
cost, transport cost and marketing experience were important in determining
the net returns of tomato marketers. Most (30%) of the respondents identified
finance to be their major constraint. This study therefore recommends that
tomato marketers should pool their resources to reap the benefits of
economies of scale. Also, policies and strategies that lower marketing cost
should be vigorously pursued.
Do Social Ties between CEOs and Engagement Audit Partners Affect Audit Quality and Audit Fees?
Authors: Kwon Soo Young , Yi Han S.
Published: July 2017

Economic agents in the same social networks could either enhance contracting efficiency by reducing information asymmetry or seek rents by promoting collusive behaviors. Recent studies have provided mixed evidence of whether social ties between a chief executive officer (CEO) and an engagement audit partner (EP) improve or impair audit quality (Guan, Su, Wu, and Yang 2016; Jeanjean, Marmousez, and Sirois 2013). By exploiting proprietary data from the South Korean audit market, where low investor protection and strong CEO power might lead to either information sharing or collusion, we add to this literature by exploring how undisclosed CEO-EP social ties affect audit outcomes. We find no evidence that audit effort, audit fees, or audit quality decreases in the presence of CEO-EP social ties. In contrast, we find that CEO-EP school ties are associated with high-quality audits and audit fee premiums. We interpret these findings as evidence that CEO-EP social ties might be important to secure a high-quality audit in a setting with low investor protection.

Data Availability: Audit partner and CEO identification data used in this study are proprietary and subject to confidentiality agreements. Other data are publicly available from sources identified in the text.
Economic Determinants and Consequences of the Proactive Disclosure of Internal Control Weaknesses and Remediation Progress in IPOs
Authors: Basu Sudipta , Krishnan Jagan , Lee Jong Eun , Zhang Yinqi
Published: July 2017

This study investigates (1) why some IPO firms proactively disclose internal control weaknesses (ICWs) and remediation progress in their prospectuses before going public, despite being exempt from the requirements of Sections 302 and 404 of the Sarbanes-Oxley Act at the time of IPO, and (2) the association of such disclosures with IPO underpricing (i.e., the first-day return). We find that IPO firms that proactively disclose ICWs and remediation progress have higher litigation risk, are audited by industry specialist auditors, and are more likely to have audit committees prior to the IPO, compared with firms that do not disclose such information, after controlling for the ex ante probability of having ICWs. IPO underpricing is lower for firms that disclose ICWs and remediation progress, consistent with the conjecture that the disclosure of ICWs and remediation progress signals extensive premarket due diligence, thus reducing the information asymmetry between informed and uninformed investors.

JEL Classifications: G24; K22; M13; M41; M42; M49.
Defects in α-Cell Function in Patients With Diabetes Due to Chronic Pancreatitis Compared With Patients With Type 2 Diabetes and Healthy Individuals
Authors: Mumme Lena , Breuer Thomas G.K. , Rohrer Stephan , Schenker Nina , Menge Björn A. , Holst Jens J. , Nauck Michael A. , Meier Juris J.
Published: July 2017

OBJECTIVE

Diabetes frequently develops in patients with chronic pancreatitis. We examined the alterations in the glucagon response to hypoglycemia and to oral glucose administration in patients with diabetes due to chronic pancreatitis.

RESEARCH DESIGN AND METHODS

Ten patients with diabetes secondary to chronic pancreatitis were compared with 13 patients with type 2 diabetes and 10 healthy control subjects. A stepwise hypoglycemic clamp and an oral glucose tolerance test (OGTT) were performed.

RESULTS

Glucose levels during the OGTT were higher in patients with diabetes and chronic pancreatitis and lower in control subjects (P < 0.0001). Insulin and C-peptide levels were reduced, and the glucose-induced suppression of glucagon was impaired in both groups with diabetes (all P < 0.0001 vs. control subjects). During hypoglycemia, glucagon concentrations were reduced in patients with chronic pancreatitis and with type 2 diabetes (P < 0.05). The increase in glucagon during the clamp was inversely related to the glucose-induced glucagon suppression and positively related to β-cell function. Growth hormone responses to hypoglycemia were lower in patients with type 2 diabetes (P = 0.0002) but not in patients with chronic pancreatitis.

CONCLUSIONS

α-Cell responses to oral glucose ingestion and to hypoglycemia are disturbed in patients with diabetes and chronic pancreatitis and in patients with type 2 diabetes. The similarities between these defects suggest a common etiology.
A study of oropharyngeal parasites infection in doves and domestic pigeons in some villages of Garmian -Iraqi Kurdistan region
Authors: Wahhab Mohammed Abdulkareem , Abdulrahman Nawzad Rasheed , Ali Shahnaz Abel-Kader
Published: July 2017

The  present study  was  performed in Garmian area-Iraqi Kurdistan Region on doves and domestic pigeons (Columbids) which were collected during the period from the1st of December 2015 to 30th April 2016 to study the naturally occurring of oropharyngeal parasites and their prevalence rates of infections. The wet samples were swabbed from oral cavity and pharyngeal region of all birds, and then screened by wet mount searching for parasites. The results of the current study revealed that only one species of protozoan parasite was identified which was Trichomonas gallinae. The results also showed that the total prevalence rate of infection from the total number of examined birds (249) was 54 (21.69%). Out of the 142 doves (63 males and 79 females) and 107 domestic pigeons (62 males and 45 females) examined, 29 (20.42%) doves [13 (20.63%) males and 16 (20.25%) females)] and 25 (23.36%) domestic pigeons [15 (24.19%) males and 10 (22.22%) females) were infected with T.  gallinae protozoon parasite.    In  the  present study it was found that the two examined bird species were infected with this protozoon and there was a gradual rise in prevalence of infection from beginning to end of the study. Small variations in the prevalence rate of T. gallinae infection between doves (20.42%) and domestic pigeons (23.36%) were observed but this variation not reached to the level of statistical significance (P >0.05). It is worthy to note that in all of the infected birds in the study Trichomoniasis occurred without observation of any apparent secondary diseases or signs. In conclusion Trichomoniasis is less common in urban doves and domestic pigeons in Garmian area, Kurdistan Region- Iraq. Further research is suggested in relation to protozoan parasite in other bird species in a study will be conducted in all months of the year to find the reasons which affect the prevalence rate of infection and to estimate the parasite-host relationship.
Environmental Impacts Caused by Eolic Energy.
Authors: F. Macías, C. Nieto  , A. García
Published: July 2017

none
Comparison of Variable Speed Wind Turbine Control Strategies.
Authors: S. Arnaltes
Published: July 2017

Variable speed operation of wind turbines presents certain advantages over constant speed operation. Basically, variable speed wind turbines use the high inertia of the rotating mechanical parts of the system as a flywheel; this helps to smooth power fluctuations and reduces the drive train mechanical stress. Also, variable speed systems could lead to maximise the capture of energy during partial load operation. In this paper alternative control strategies for variable speed operation are considered and compared from the point of view of energy yield and power quality. Control aim is always maximum power generation. Maximum power tracking and power fluctuation will be analysed when exciting the different configurations with a particular wind profile. Also fixed speed wind turbine are considered for the comparison.
Mechanical Stress Behavior Inside Slots of Large Hydro Generators.
Authors: Christian Grabner  , H. Köfler
Published: July 2017

The mechanical design and construction of slot wedges which are typically used in large synchronous machines must be robust enough to resist all occurring electromagnetic and mechanical force magnitudes within various operational states. Therefore, the invoked mechanical stress distributions near the slot wedge and the slot bottom are investigated with the aid of numerical and analytical methods. All performed investi-gations are carried out for several material properties which are typically used for industry applications.
Modelling and Simulation of an Asynchronous Wind Turbine of Squirrel Cage.
Authors: J. Martínez García  , M. García-Gracia  , M.P. Comech  , D. García García
Published: July 2017

In this paper, a fixed pitch wind turbine equipped with a squirrel cage induction generator is modelled. A detailed model of the static starter is presented. The reactive compensation is achieved by means of three shunt-connected capacitor banks.
In order to be able to make the simulations, also a wind model has been developed. Several wind functions and experimental wind data are allowed by the model.
The results obtained by means of simulation have been contrasted with real results for the validation of the model.
Influence of the Load Models in the Dynamic Voltage Stability of an Electric Power System
Authors: R. M. Monteiro Pereira  , C. M. Machado Ferreira  , J. A. Dias Pinto  , F. P. Maciel Barbosa
Published: July 2017

Voltage stability plays a very important role during the planning and design stages of an electric power network as well as during the system operation. In the last years in various countries worldwide, several power network collapses (blackouts) caused by voltage problems have been reported. This can be produced by a lack of sufficient reactive power reserve during heavy load or by the occurrence of severe contingencies. In this paper it is studied and analysed the influence of the load models in the dynamic voltage stability assessment of an electric power system. It was used the BPA test power network. A severe contingency situation was simulated to perform the study. The automatic voltage regulators of the generating units and the turbine speed governors were modelled as well as the transformer taps. The simulation results were obtained using the commercial transient software package EUROSTAG. Finally some conclusions that provide a better understanding of the voltage collapse phenomena are pointed out.
Frequency Measurement Under Non-Sinusoidal Conditions.
Authors: M. Mañana  , J. A. Rodríguez  , F. J. Sánchez  , A. Ortiz  , L. I. Eguíluz
Published: July 2017

Frequency measurement is an important issue in electrical engineering. Electric power systems have become increasing complex over the last decade. The use of distributed generation, the connection of non-linear loads and the presence of unexpected system faults are the main causes of frequency variations. In addition, power quality includes frequency as an important index.
From a hardware instrumentation point of view, frequency measurement has different requirements:
i.) Large power systems have slow frequency variation due to the high inertia of the overall network. This kind of problem requires frequency measuring methods capable of detecting small and also slow frequency variations. ii.) Small power systems can have frequency variation due to their reduced short-circuit power capacity. This type of problem requires fast methods with the capacity to detect large frequency variations.
There are different groups of methods intended for frequency measurement. The methods can be compared in terms of computation and dynamic response, especially when the main voltage is disturbed.
This research work focuses on frequency measurement under non-sinusoidal conditions. The paper studies the behaviour of a modified version of Sezi’s method and its hardware implementation using a microcontroller. This system can be used for frequency measurement or as a synchronized sampling source in harmonic measurement (e.g. EN 61000-4-7)
The fast time response of the system enables it to be used in almost all kinds of application: small and slow frequency variations; frequency triggering in power system protection and power quality index characterisation.
Wind Power Applied to the Hydrogen Generation.
Authors: José Javier San Martín  , Iván Muñoz  , José Ignacio San Martín  , José Mª Arrieta  , Iñaki Martín  , Víctor Aperribay  , Ángel Pérez
Published: July 2017

The object of the presented communication is to show the applications of the use of the renewable energies, in particular the wind one, for the securing of Hydrogen, in the base of the tower of the wind power, as power supply of the fuel cell.
In the present moment, the technology based on the Hydrogen is constituted in a serious alternative to the use of the fossil fuels, being outlined as a new source of fuel based on renewable energies.
The electrical energy produced in wind powers is, principally, injected into the electrical networks, for his transport, distribution and consumption. The novel aspect that we try to exhibit in our communication is the storage of the wind energy in the shape of Hydrogen, which can serve to feed to fuel cells installed in automobiles. The produced electricity will feed the engines that will drive the automobile, without any type of pollutant taking place, since the residual element is the water.
International Reliability Analysis in Distribution Networks.
Authors: A. Sumper  , A. Sudria  , F. Ferrer
Published: July 2017

This work intents to introduce a new concept for perceived power quality and the relationship between availability of supply and perceived power quality. After that it attempts to give an overview of the interruption indices used nowadays and to compare system reliability in Europe by using interruption indices. Then we will determine the factors of influence in these indices and finally give an overview of the measures necessary in order to decrease interruption indices.
Process for the Implantation of Wind Farms in the Basque Country Autonomous Community
Authors: Melchor Gómez  , Miguel González  , Inmaculada Zamora
Published: July 2017

It has been analyzed the implantation process of wind farms in scope of Basque Country Autonomous Community (BCAC) through Plan 3É-2005 - Euskadi Power Strategy 2005- that contains planning territorial and sectorial of energy and more concretely Plan Territorial Sectorial (PTS) of wind energy (Decree 104/2002 of May 14), which it is the instrument that fixes the orientation guidelines and criteria to the selection of the suitable locations for the advantage of the wind natural resource and therefore the search of the best territorial arrangement of the wind farms, within the resulting effective arrangement of the Directives of Arrangement of the Territory (DOT). AII it with the objective put in reaching in 2005 to increase the participation of the renewable energies in the final consumption of electrical energy of the Basque Country Autonomous Community of present 2.7%, to 12% in 2010, where a 3% will come from the wind energy. For it, it will be necessary to install a power of 175 MW in Wind farms, with an investment of 142 million euros.
Variable Speed Drive Modelling of Wind Turbine Permanent Magnet Synchronous Generator.
Authors: T. Zouaghi
Published: July 2017

With today’s possibilities for signal processing, controlled drives with permanent magnet synchronous machines are in attractive solution of several applications and offer many promises. In this paper, the operation of variable speed, stall regulated wind turbine PM synchronous generator, is examined. The analysis and design of control system for an electric drive calls for a dynamic model of the machine. Analysis of the electric part of the system, i.e. the electric generator, the power electronics converters and the control, is carried out. The emphasis is placed on the investigation of a series of computer simulations and the speed control system is designed to maximise the power output and acheive a smooth torque and power profile.
Series Resistance of SnO2/SiO2/Si(n) Solar Cells.
Authors: A. Cheknane  , S. Bensmain  , B. Benyoucef  , J.-P. Charles  , R. Zerdoum
Published: July 2017

The aim of this work is to determine the series resistance (Rs) of solar cells with a transparent SnO2 conductor thin film, which affects directly the conversion efficiency, this is for different oxide thicknesses (d). In this kind of solar cell there is no shadow effect, so we do not need any grid as the transparent conductor oxide acts as a conducting layer.
Statistical Study of Power Quality in Wind Farms.
Authors: A. Madureira  , F. Oliveira  , M. P. Donsión
Published: July 2017

none
Multivariable QFT Controllers Design for Heat Exchangers of Solar Systems.
Authors: M. Barreras  , M. García-Sanz
Published: July 2017

This paper addresses the control of a heatexchanger placed in a solar water heating system and influencedby external disturbances at plant output. Heat exchangers playan essential role in industries that use renewable sources forenergy generation and water heating, i.e. geothermal, solar,ocean, etc. One of the main control targets of such systems is toachieve a simultaneous and accurate control of sometemperatures. A multivariable (MIMO) model of the heatexchanger of a solar plant, and a robust controller able togovern the system despite the external disturbances and loopinteractions are developed in this work. The MIMOmethodology for the non-diagonal controller design is based onthe Quantitative Feedback Theory (QFT).
"Moros y cristianos" en Andalucía oriental. Textos y fiestas
Authors: Checa Francisco , Fernández Soto Concha
Published: July 2017

En este número no se incluyeron resúmenes ni palabras clave.
Catálogo descriptivo de libros de caballerías hispánicos. XI. El último libro de caballerías castellano: "Quinta parte de Espejo de príncipes y caballeros"
Authors: Lucía Megías José Manuel
Published: July 2017

En este número no se incluyeron resúmenes ni palabras clave.
La lengua española, hoy. Fundación Juan March, Madrid, 1995; 322 pp.
Authors: Romero Laura
Published: July 2017

Se reseñó el libro: La lengua española, hoy.
Aurora M. Ocampo (dir.), Diccionario de escritores mexicanos. Siglo XX: desde las generaciones del Ateneo y novelistas de la Revolución hasta nuestros días. T. 1: A-CH; t. 2: D-F; t. 3: G; t. 4: H-LL. Con la colaboración de A. Arreola Medina, R. González Serrano et al. UNAM, México, 1988, 1992, 1993, 1997.
Authors: Jiménez de Báez Yvette
Published: July 2017

Se reseñó el libro: Diccionario de escritores mexicanos. Siglo XX: desde las generaciones del Ateneo y novelistas de la Revolución hasta nuestros días. T. 1: A-CH; t. 2: D-F; t. 3: G; t. 4: H-LL.
Amparo Tusón Valls, Análisis de la conversación. Ariel, Barcelona, 1997; 127 pp.
Authors: Martín Butragueño Pedro
Published: July 2017

Se reseñó el libro: Análisis de la conversación.
Klaus Zimmermann (ed.), La descripción de las lenguas amerindias en la época colonial. Vervuert-Iberoamericana, Frankfurt/Main-Madrid, 1997; 447 pp.
Authors: Villavicencio Frida
Published: July 2017

Se reseñó el libro: La descripción de las lenguas amerindias en la época colonial.
Enrico Mario Santí, El acto de las palabras: estudios y diálogos con Octavio Paz. F.C.E., México, 1997; 406 pp.
Authors: Stanton Anthony
Published: July 2017

Se reseñó el libro: El acto de las palabras: estudios y diálogos con Octavio Paz
ANALISIS PROSES PROMOSI JABATAN APARATUR SIPIL NEGARA Studi Kasus: Proses Promosi Jabatan Stuktural Eselon II di Pemerintah Daerah Daerah Istimewa Yogyakarta Tahun 2014
Authors: Atmojo Muhammad Eko
Published: July 2017

Government implementation system should support by apparatus resources with professional competence. Think to create the good governance system as well as clean and good then need the resources of the competent apparatus. To creating the resources of the competent apparatus needs to reforming the bureaucracy in civil service sectoral. Government should give the special attention toward the civil service system in Indonesia. Especially in regeneration of structural functionary or functionary promote. The government of Yogyakarta Special Region had been used the different method to implementation the functionary promotion, such as used a few level with between administration selection, assessment center, and fit and proper test. The method had been used by the government of Yogyakarta Special Region with prospect it can be created the resources of the competent apparatus by professional, with the result that created the good governance and good public service.
AKTUALISASI PENDIDIKAN ISLAM DALAM KELUARGA (Perspektif Al-Qur’an Surat Luqman)
Authors: Alam Lukis
Published: July 2017

Child is a gift from Allah SWT that we must guard. Giving an Islamic education since childhood in the family environment is a mandatory task for both parent. Building an  Islamic educational values can be done by telling the story through a letter of the Quran, one of which is the Luqman letter. Islamic education values contained in the Luqman letter are considered capable in forming an Islamic character, especially for children. Telling the story of  a letter of Luqman is one choice to guard children as early as possible, from negative environmental influences in this globalization era filled with sophistication and easiness in accessing all forms of information. The concept of Islamic education for children in the family was done by involving aspects of worship, Muslim beliefs and morals as well as children intellectual. Guiding an Islamic Education is the essential foundation for his own survival in the future. It was hoped to increase the sense of belief in Allah SWT.
Caracterizando la producción y organización de los mezcaleros en Matatlán, México “Capital mundial del mezcal”
Authors: Espinosa Meza David Eduardo , Rivera González Gibran , Maldonado Angeles Blanca Estela
Published: July 2017

El objetivo de la investigación es caracterizar a los pequeños productores de mezcal artesanal para y conocer la forma de producir y organizarse con la finalidad de que cuando se definan estrategias de apoyo, éstas se hallen alineadas a su realidad. Metodología. Es una metodología cualitativa con alcance exploratorio. Se utilizan como métodos de recolección de datos las entrevistas aplicadas a diversos actores que participan en la industria del mezcal, así como un cuestionario aplicado a 52 mezcaleros. Los resultados de este estudio permitieron encontrar seis elementos coincidentes en los pequeños productores de mezcal estudiados, estos son: 1) el sentido de la familia, 2) preservación de la identidad, 3) proceso artesanal, 4) conocimiento tácito, 5) toma de decisiones espontáneas y 6) economía informal). Limitaciones. Las principales limitaciones de la investigación tienen que ver con el tamaño de la muestra, ya que únicamente se consideraron los lugares a los cuales se pudo acceder y se dejaron de lado comunidades más apartadas de las zonas urbanas, por lo que el estudio no se puede generalizar. Conclusiones. Debido a estas características este tipo de organizaciones han sobrevivido a lo largo de los años, a pesar de sus condiciones socioeconómicas desventajosas.
Query Answering in Ontologies under Preference Rankings
Authors: Ceylan İsmail İlkan , Lukasiewicz Thomas , Peñaloza Rafael , Tifrea-Marciuska Oana
Published: July 2017

We present an ontological framework, based on preference rankings, that allows users to express their preferences between the knowledge explicitly available in the ontology. Using this formalism, the answers for a given query to an ontology can be ranked by preference, allowing users to retrieve the most preferred answers only. We provide a host of complexity results for the main computational tasks in this framework, for the general case, and for EL and DL-Lite_core as underlying ontology languages.
The Tractability of the Shapley Value over Bounded Treewidth Matching Games
Authors: Greco Gianluigi , Lupia Francesco , Scarcello Francesco
Published: July 2017

Matching games form a class of coalitional games that attracted much attention in the literature. Indeed, several results are known about the complexity of computing over them {solution concepts}. In particular, it is known that computing the Shapley value is intractable in general, formally #P-hard, and feasible in polynomial time over games defined on trees. In fact, it was an open problem whether or not this tractability result holds over classes of graphs properly including acyclic ones. The main contribution of the paper is to provide a positive answer to this question, by showing that the Shapley value is tractable for matching games defined over graphs having bounded treewidth. The proposed technique has been implemented and tested on classes of graphs having different sizes and treewidth at most three.
GDL-III: A Description Language for Epistemic General Game Playing
Authors: Thielscher Michael
Published: July 2017

GDL-III, a description language for general game playing with imperfect information and introspection, supports the specification of epistemic games. These are characterised by rules that depend on the knowledge of players. GDL-III provides a simpler language for representing actions and knowledge than existing formalisms: domain descriptions require neither explicit axioms about the epistemic effects of actions, nor explicit specifications of accessibility relations. We develop a formal semantics for GDL-III and demonstrate that this language, despite its syntactic simplicity, is expressive enough to model the famous Muddy Children domain. We also show that it significantly enhances the expressiveness of its predecessor GDL-II by formally proving that termination of games becomes undecidable, and we present experimental results with a reasoner for GDL-III applied to general epistemic puzzles.
Explicit Knowledge-based Reasoning for Visual Question Answering
Authors: Wang Peng , Wu Qi , Shen Chunhua , Dick Anthony , van den Hengel Anton
Published: July 2017

We describe a method for visual question answering which is capable of reasoning about an image on the basis of information extracted from a large-scale knowledge base. The method not only answers natural language questions using concepts not contained in the image, but can explain the reasoning by which it developed its answer. It is capable of answering far more complex questions than the predominant long short-term memory-based approach, and outperforms it significantly in testing. We also provide a dataset and a protocol by which to evaluate general visual question answering methods.
Symbolic LTLf Synthesis
Authors: Zhu Shufang , M. Tabajara Lucas , Li Jianwen , Pu Geguang , Y. Vardi Moshe
Published: July 2017

LTLf synthesis is the process of finding a strategy that satisfies a linear temporal specification over finite traces. An existing solution to this problem relies on a reduction to a DFA game. In this paper, we propose a symbolic framework for LTLf synthesis based on this technique, by performing the computation over a representation of the DFA as a boolean formula rather than as an explicit graph. This approach enables strategy generation by utilizing the mechanism of boolean synthesis. We implement this symbolic synthesis method in a tool called Syft, and demonstrate by experiments on scalable benchmarks that the symbolic approach scales better than the explicit one.
Importance-Aware Semantic Segmentation for Autonomous Driving System
Authors: Chen Bi-ke , Gong Chen , Yang Jian
Published: July 2017

Semantic Segmentation (SS) partitions an image into several coherent semantically meaningful parts, and classifies each part into one of the pre-determined classes. In this paper, we argue that existing SS methods cannot be reliably applied to autonomous driving system as they ignore the different importance levels of distinct classes for safe-driving. For example, pedestrians in the scene are much more important than sky when driving a car, so their segmentations should be as accurate as possible. To incorporate the importance information possessed by various object classes, this paper designs an "Importance-Aware Loss" (IAL) that specifically emphasizes the critical objects for autonomous driving. IAL operates under a hierarchical structure, and the classes with different importance are located in different levels so that they are assigned distinct weights. Furthermore, we derive the forward and backward propagation rules for IAL and apply them to deep neural networks for realizing SS in intelligent driving system. The experiments on CamVid and Cityscapes datasets reveal that by employing the proposed loss function, the existing deep learning models including FCN, SegNet and ENet are able to consistently obtain the improved segmentation results on the pre-defined important classes for safe-driving.
Semi-supervised Feature Selection via Rescaled Linear Regression
Authors: Chen Xiaojun , Yuan Guowen , Nie Feiping , Huang Joshua Zhexue
Published: July 2017

With the rapid increase of complex and high-dimensional sparse data, demands for new methods to select features by exploiting both labeled and unlabeled data have increased. Least regression based feature selection methods usually learn a projection matrix and evaluate the importances of features using the projection matrix, which is lack of theoretical explanation. Moreover, these methods cannot find both global and sparse solution of the projection matrix. In this paper, we propose a novel semi-supervised feature selection method which can learn both global and sparse solution of the projection matrix. The new method extends the least square regression model by rescaling the regression coefficients in the least square regression with a set of scale factors, which are used for ranking the features. It has shown that the new model can learn global and sparse solution. Moreover, the introduction of scale factors provides a theoretical explanation for why we can use the projection matrix to rank the features. A simple yet effective algorithm with proved convergence is proposed to optimize the new model. Experimental results on eight real-life data sets show the superiority of the method.
Privileged Matrix Factorization for Collaborative Filtering
Authors: Du Yali , Xu Chang , Tao Dacheng
Published: July 2017

Collaborative filtering plays a crucial role in reducing excessive information in online consuming by suggesting products to customers that fulfil their potential interests. Observing that a user's review comments on purchases are often in companion with ratings, recent works exploit the review texts in representing user or item factors and have achieved prominent performance. Although effectiveness of reviews has been verified, one major defect of existing works is that reviews are used in justifying the learning of either user or item factors without noticing that each review associates a pair of user and item concurrently. To better explore the value of review comments, this paper presents the privileged matrix factorization method that utilize reviews in the learning of both user and item factors. By mapping review texts into the privileged feature space, a learned privileged function compensates the discrepancies between predicted ratings and groundtruth values rating-wisely. Thus by minimizing discrepancies and prediction errors, our method harnesses the information present in the review comments for the learning of both user and item factors. Experiments on five real datasets testify the effectiveness of the proposed method.
Semi-Supervised Learning for Surface EMG-based Gesture Recognition
Authors: Du Yu , Wong Yongkang , Jin Wenguang , Wei Wentao , Hu Yu , Kankanhalli Mohan , Geng Weidong
Published: July 2017

Conventionally, gesture recognition based on non-intrusive muscle-computer interfaces required a strongly-supervised learning algorithm and a large amount of labeled training signals of surface electromyography (sEMG). In this work, we show that temporal relationship of sEMG signals and data glove provides implicit supervisory signal for learning the gesture recognition model. To demonstrate this, we present a semi-supervised learning framework with a novel Siamese architecture for sEMG-based gesture recognition. Specifically, we employ auxiliary tasks to learn visual representation; predicting the temporal order of two consecutive sEMG frames; and, optionally, predicting the statistics of 3D hand pose with a sEMG frame. Experiments on the NinaPro, CapgMyo and csl-hdemg datasets validate the efficacy of our proposed approach, especially when the labeled samples are very scarce.
Towards Understanding the Invertibility of Convolutional Neural Networks
Authors: Gilbert Anna , Zhang Yi , Lee Kibok , Zhang Yuting , Lee Honglak
Published: July 2017

Several recent works have empirically observed that Convolutional Neural Nets (CNNs) are (approximately) invertible. To understand this approximate invertibility phenomenon and how to leverage it more effectively, we focus on a theoretical explanation and develop a mathematical model of sparse signal recovery that is consistent with CNNs with random weights. We give an exact connection to a particular model of model-based compressive sensing (and its recovery algorithms) and random-weight CNNs. We show empirically that several learned networks are consistent with our mathematical analysis and then demonstrate that with such a simple theoretical framework, we can obtain reasonable reconstruction results on real images. We also discuss gaps between our model assumptions and the CNN trained for classification in practical scenarios.
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Authors: Guo Huifeng , TANG Ruiming , Ye Yunming , Li Zhenguo , He Xiuqiang
Published: July 2017

Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards low- or high-order interactions, or require expertise feature engineering. In this paper, we show that it is possible to derive an end-to-end learning model that emphasizes both low- and high-order feature interactions. The proposed model, DeepFM, combines the power of factorization machines for recommendation and deep learning for feature learning in a new neural network architecture. Compared to the latest Wide & Deep model from Google, DeepFM has a shared input to its "wide" and "deep" parts, with no need of feature engineering besides raw features. Comprehensive experiments are conducted to demonstrate the effectiveness and efficiency of DeepFM over the existing models for CTR prediction, on both benchmark data and commercial data.