Miracle-dz/UniFAR-FTUs huggingface dataset:
Voltage Sag Effects on Sensitive Equipment Due to Starting Cycles of Induction Motor

This section of the magazine offers a vehicle that speeds publication of new results, discoveries, and developments. The section affords authors the opportunity to publish contributions within a few monthsofsubmissiontoensurerapiddisseminationofideasandtimely archiving of developments in our rapidly changing field. Original and significant contributions in applications, case studies, and research in all fields of power engineering are invited. Of specific interest are contributions defining emerging problems and special needs in specific areas. Brief notes may also comment on published areas of established power topics. Submit contributions, criticism, and queries to the Power Engineering Letters editor: Dr. Mohamed E. El-Hawary, DalTech, DalhousieUniversity,P.O. Box1000,Halifax,NSB3J2X4Canada,+1 902 494 6198 or +1 902 494 6199, fax +1 902 429 3011, e-mail
Las tecnologías de la información y la comunicación en una empresa industrial Un estudio de casos

La importancia de las TIC en el entorno empresarial es bien conocida y ampliamente estudiada por diversos autores (Leawitt y Whisler,1958; Reif, 1968; Klatsky, 1970; Blau et al.,1976; Miles y Snow, 1987; Applegate et al., 1988; Sampler, 1996) señalando influencias muy distintas, y en algunos casos contrarias, sobre la estructura organizativa de la empresa. Dicha relación —TIC y estructura— no es sencilla (Sampler, 1996) y se está complicando cada vez más por la velocidad de cambio de las nuevas tecnologías y la creciente turbulencia del entorno al que se enfrentan muchas empresas. Así los primeros estudios sobre esta materia discutían la capacidad de dichas tecnologías para centralizar/descentralizar la estructura organizativa. Aquí aparecen posturas como las de Leawitt y Whis-
Assessment of Scaling Durability of Concrete with CFBC Ash by Automatic Classification Rules

AbstractThe objective of this investigation was to develop rules for automatic assessment of concrete quality by using selected artificial intelligence methods based on machine learning. The range of tested materials included concrete containing nonstandard waste material—the solid residue from coal combustion in circulating fluidized bed combustion boilers (CFBC ash) used as an additive. Performed experimental tests on the surface scaling resistance provided data for learning and verification of rules discovered by machine learning techniques. It has been found that machine learning is a tool that can be applied to classify concrete durability. The rules generated by computer programs AQ21 and WEKA by using the J48 algorithm provided a means for adequate categorization of plain concrete and concrete modified with CFBC fly ash as materials resistant or not resistant to the surface scaling.
Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach

Objective Predicting the outcomes of individual participants for treatment interventions appears central to making mental healthcare more tailored and effective. However, little work has been done to investigate the performance of machine learning-based predictions within digital mental health interventions. Therefore, this study evaluates the performance of machine learning in predicting treatment response in a digital mental health intervention designed for treating depression and anxiety. Methods Several algorithms were trained based on the data of 970 participants to predict a significant reduction in depression and anxiety symptoms using clinical and sociodemographic variables. As a random forest classifier performed best over cross-validation, it was used to predict the outcomes of 279 new participants. Results The random forest achieved an accuracy of 0.71 for the test set (base rate: 0.67, area under curve (AUC): 0.60, p = 0.001, balanced accuracy: 0.60). Additionally, predicted non-responders showed less average reduction of their Patient Health Questionnaire-9 (PHQ-9) (−2.7, p = 0.004) and General Anxiety Disorder Screener-7 values (−3.7, p < 0.001) compared to responders. Besides pre-treatment Patient Health Questionnaire-9 and General Anxiety Disorder Screener-7 values, the self-reported motivation, type of referral into the programme (self vs. healthcare provider) as well as Work Productivity and Activity Impairment Questionnaire items contributed most to the predictions. Conclusions This study provides evidence that social-demographic and clinical variables can be used for machine learning to predict therapy outcomes within the context of a therapist-supported digital mental health intervention. Despite the overall moderate performance, this appears promising as these predictions can potentially improve the outcomes of non-responders by monitoring their progress or by offering alternative or additional treatment.
Analysis on methods of power transfer for implantable wireless neural recording systems

With the development of the implantable neural recording system, how to power the device has already became an significant problem. Researchers have come up with several methods such as utilizing battery. However, these two early methods both have weakness which limit the further development of the implantable medical device (IMD). Thus, new methods emerge to solve these problems, which serve as ideal substitute for the battery, including the radio frequency (RF) radiation, inductive power transfer (IPT) and acoustic power transfer (APT). This paper mainly focuses on these three methods and discusses their advantages and the disadvantages.
Efficient Speaker Verification System with Spoofing Attack

In the existing system the state-of-the-art speaker verification system cannot distinguish the natural speech and converted speech. But in this project an attempt will be made to build an efficient speaker verification system to detect natural speech and synthesized speech. In this paper, we present new results evaluating the current state-of-the-art speaker verification system, Gaussian mixture model supervector with joint factor analysis (GMM-ZJFA) system, against spoofing attacks. In this the spoofing attacks are simulated by Gaussian mixture model based voice conversion technique. The results show that GMM-based conversion method which increases the false acceptance rate (FAR) from 3.24% to 17.33%. This suggests that GMM-JFA system is less vulnerable towards GMM-based conversion. The software used over here is matlab.
Main Principles Of Implementing Knowledge Components Within Textual Space

The present article attempts to analyze the cognitive mechanisms of representing individual knowledge components in textual reality based on the emerging terminology systems of highly specialized areas in the scope of the general information-knowledge continuum. Applying the hermeneutic-noematic method, the authors describe the processes of both the primary implementation of epistemological components in linguistic codes and the secondary transformation in the rethought units of close knowledge areas, implying transdisciplinary transitions of verbalizers. The first type of individual meaning facets actualization is based on empirical verification, and the second one – on reflexive verification. Based on the analysis, six stages of the text space and terminological systems formation able to actualize various nuances of the interpreted concept are distinguished. Each unit intensifying episodic components and created on the basis of intentional active reflection, de-objectifying and re-objectifying all possible aspects of complex generalized meaning, has the ability to represent knowledge elements in the text space, which eliminates the paradoxes of en- and de-coding amid the stereotypical perceiving autopoiesis as a self-regulation terminological system, and at the same time provides both subjective and objective meaningfulness of the concepts being verbalized. The basis for the inclusion of knowledge components in the information space of the text is the consideration of both episodic situational components and elements representing semantic memory within the framework of ensuring the adequacy of other communication parties’ understanding of the introduced nomens in a non-usual context. schemes for the de-objectification of actual meanings in the text space; 6) analysis of the derivative potential of the terminological concept in the aspect of expanding the associative clusters and new terminological systems.
Hepatitis C Virus-Related Central and Peripheral Nervous System Disorders

Hepatitis C Virus (HCV), despite being a hepatotropic virus, is the causative agent of many systemic disorders, such as vasculitis, autoimmune diseases, lymphoproliferative disorders, and a broad spectrum of neurological and psychiatric manifestations. Although symptoms have been misdiagnosed or underdiagnosed, only recently, evidence of direct (inflammatory) or indirect (immune-mediated) HCV-dependent cerebral effects has been established. HCV infection can promote acute inflammatory response, pro-coagulative status and ischemic disorders, and neurodegeneration. These effects rely on cerebral HCV replication, possibly mediated by blood–brain barrier alterations. Further study is needed to better understand the HCV-related mechanisms of brain damage.
An improved gate breakdown model for studying high efficiency MESFET operation

A gate breakdown model for MESFETs is presented. The model is based on quantum tunneling initiated avalanche ionization. The breakdown model is incorporated into a physics based MESFET model. Forward and reverse gate conduction an shown to be the main factors in determining the power and efficiency of MESFET amplifiers. <<ETX>>
Phased array calibration

Since accurate pointing of a beam of a phased array antenna demands precise control of phase and amplitude, periodic calibration of the gain and phase of the electronics is essential. Calibration may be performed by pointing a beam of an array at a fixed location and transmitting or receiving signals that permit calibration of individual elements. To calibrate the entire array, the procedure must be repeated for each element, Note that pointing a beam at a fixed station assumes that dependence of calibration on direction is negligible. If parameters are sensitive to pointing direction, then an alternative such as multiple stations must be implemented.
Response of Olfactory Sensory Neurons to Mercury Ions in Zebrafish: An Immunohistochemical Study

Abstract Olfactory sensory neurons (OSNs) of fish belong to three main types: ciliated olfactory sensory neurons (cOSNs), microvillous olfactory sensory neurons (mOSNs), and crypt cells. Mercury is a toxic metal harmful for olfaction. We exposed the olfactory epithelium of zebrafish to three sublethal Hg2+ concentrations. Molecular markers specific for the different types of OSNs were immunohistochemically detected. Image analysis of treated sections enabled counting of marked cells and measurement of staining optical density indicative of the response of OSNs to Hg2+ exposure. The three types of OSNs reacted to mercury in a different way. Image analysis revealed that mOSNs are more susceptible to Hg2+ exposure than cOSNs and crypt cell density decreases. Moreover, while the ratio between sensory/nonsensory epithelium areas is unchanged, epithelium thickness drops, and dividing cells increase in the basal layer of the olfactory epithelium. Cell death but also reduction of apical processes and marker expression could account for changes in OSN immunostaining. Also, the differential results between dorsal and ventral halves of the olfactory rosette could derive from different water flows inside the olfactory chamber or different subpopulations in OSNs.
Chronic care services and variation between Danish general practices: a nationwide cohort study

Background Little is known about variations in the provision of chronic care services in primary care. Aim To describe the frequency of chronic care services provided by GPs and analyse the extent of non-random variation in service provision. Design and setting Nationwide cohort study undertaken in Denmark using data from 2016. Method Information on chronic care services was obtained from national health registers, including annual chronic care consultations, chronic care procedures, outreach home visits, and talk therapy. The associations between services provided, patient morbidity, and socioeconomic factors were estimated. Service variations were analysed, and excess variation related to practice-specific factors was estimated while accounting for random variation. Results Chronic care provision was associated with increasing patient age, increasing number of long-term conditions, and indicators of low socioeconomic status. Variation across practices ranged from 1.4 to 128 times more than expected after adjusting for differences in patient population and random variation. Variation related to practice-specific factors was present for all the chronic care services that were investigated. Older patients with lower socioeconomic status and multimorbidity were clustered in practices with low propensity to provide certain chronic care services. Conclusion Chronic care was provided to patients typically in need of health care, that is, older adults, those with multimorbidity, and those with low socioeconomic status, but service provision varied more than expected across practices. GPs provided slightly fewer chronic care services than expected in practices where many patients with multimorbidity and low socioeconomic status were clustered, suggesting inverse care law mechanisms.
Dohnányi's Orchestrations of Schubert's Fantasy in F Minor and the Moments musicaux Piano Cycle

Ernst von Dohnányi's brilliant instrumentation skills were already recognized by his contemporaries. His former disciple and first monographer Bálint Vázsonyi published an anecdote, according to which Béla Bartók considered the orchestral version of Ruralia hungarica (op. 32) as the first truly “orchestrated” Hungarian symphonic work. Nevertheless, neither Dohnányi's own orchestration practices nor the transcriptions he prepared for symphony orchestra from the works of other composers have been studied. This paper examines two of these orchestrations, made in 1928 on the occasion of the Schubert Centenary – Dohnányi's orchestral transcriptions of the Fantasy in F Minor, originally written for piano four hands, and the piano cycle Moments musicaux – both being virtually unknown to the public. The analysis also provides an insight into Dohnányi's interpretation of Schubert, including his approach to the Austrian composer.
The smart city: A nexus for open innovation?

This article critically reviews current European trends on smart cities in the context of open innovation. It draws from analyses of key European Union (EU) programmes, four international projects and related activities. These initiatives are framed by the EU's strategic policies on Competitiveness and Innovation, Smart Cities, the Future Internet and Living Labs with the aims to foster smarter, sustainable and inclusive cities. The article probes similarities and differences in the programmes and projects examined and their challenges towards EU strategies, including the i2020 agenda. The analysis shows that a new approach to open innovation is emerging, which links technologies with people, urban territory and other cities and that this approach is likely to be increasingly influential over the next period of time. It is suggested that this approach of using open innovation for sharing visions, knowledge, skills, experience and strategies for designing the delivery of services, goods and policies in cities is effective, efficient and sustainable. However, consistent frameworks, principles and strategic agendas are necessary to optimally bind these elements together.
Well-Constrained Mineralization Ages by Integrated 40Ar/39Ar and U-Pb Dating Techniques for the Xitian W-Sn Polymetallic Deposit, South China

Mineralization ages of many mineral deposit types (such as orogenic Au, stratabound Cu, and Mississippi Valley-type Pb-Zn deposits) are still difficult to date by the traditional isotopic chronometry because of the lack of suitable minerals. We have made efforts to establish a widely suitable dating technique to determine ore formation ages using a high-precision 40Ar/39Ar method on ubiquitously present fluid inclusions in quartz, sphalerite, and other nonpotassium minerals from hydrothermal deposits. The Xitian W-Sn polymetallic deposit in central South China contains several minerals suitable for isotopic dating for interchronometer comparison. 40Ar/39Ar laser step heating of 16 micas from ore veins, greisen, and metallogenic granites yields flat age spectra and thus well-defined ore formation ages ranging from 152.4 ± 1.5 (2σ) to 148.1 ± 1.4 Ma with an average of 150.2 ± 0.6 Ma. 40Ar/39Ar progressive crushing of nine quartz samples produces well-defined isochron lines for their primary fluid inclusions corresponding to isochron ages of 153.7–149.9 Ma with an average of 151.6 ± 0.6 Ma. Cassiterites from three hand specimens have weighted mean 206Pb/238U ages of 151.5 ± 1.7 (2σ), 149.7 ± 2.1, and 151.7 ± 2.1 Ma. All these new geochronological dates and previous molybdenite Re-Os ages yield well-constrained mineralization ages of 153–148 Ma for the Xitian W-Sn polymetallic deposit, which also confirms conclusively that the quartz 40Ar/39Ar progressive crushing technique is a feasible, valid dating technique. Furthermore, significant age information on the secondary fluid inclusions is potentially obtained simultaneously by this technique. We expect that this novel dating technique will be widely applied to determine the geologic fluids trapped in minerals during hydrothermal mineralization, hydrocarbon accumulation, metamorphism, tectonic activities, and other geologic processes.
A study on the 3-DOF attitude control of free-flying vehicle

This paper is studying on the 3-DOF attitude control of a helicopter. The characteristic to be heavily coupled with inputs and outputs, and the serious nonlinearity appear in the flying helicopter system. Due to these characteristics of a helicopter, people apply the nonlinear control, multi-variable control or optimal control for the attitude control of helicopter. It is too hard to define the relations of input and output in a view of dynamics, therefore others also study this theme in a view of AI control-(artificial intelligent control) based on the fuzzy theory or neural network. But in the hovering, those characteristics-heavily coupled system and nonlinearity, reduce considerably. In this paper, we assume that those characteristics are able to be disregarded in hovering. The model helicopter system that is constructed with three independent SISO (single input single output) systems, is acquired by system identification method, and then the PD-control (proportional derivative control) is applied individually to three independent SISO systems for a 3-DOF attitude control of a model helicopter in hovering. Those assumptions are verified by the experiment.
Grey Water Treatment Systems: A Review

This review aims to discern a treatment for grey water by examining grey water characteristics, reuse standards, technology performance and costs. The review reveals that the systems for treating grey water, whatever its quality, should consist of processes that are able to trap pollutants with a small particle size and convert organic matter to mineralized compounds. For efficient, simple and affordable treatment of grey water with safe effluent reuse, a combined anaerobic-aerobic process is recommended, with disinfection being an optional step. The removal and subsequent conversion of suspended and colloidal particles in the anaerobic process need further improvement. Furthermore, the reuse standards should be revised and classified considering the reuse options and requirements.
CHEMICAL SENSORS AND INSTRUMENTATION POWERED BY MICROBIAL FUEL CELLS

The use of microbial fuel cells to power electronic devices is inhibited by their low voltage and current outputs, therefore they cannot be used directly to power electronic devices without appropriate power management. The goal of the thesis is to power chemical sensors but currently there are no available sensor circuitries which can be operated at the low potential and current delivered by a microbial fuel cell. In this thesis, novel sensor circuitry and power management circuitry have been developed. The sensor circuitry can be programmed to operate any generic amperometric sensor and the data is accessible using wireless communication. The power management circuitry boosts the low potential and current outputs of a microbial fuel cell to the higher level required for powering the sensor circuitry. For testing purposes, the sensor circuitry was programmed to operate a chemical sensor measuring copper and lead concentrations in water. This work has demonstrated that by adopting the proposed power management and sensor circuitry, the energy from a microbial fuel cell can be used for powering electronic devices, including chemical sensors deployed at remote locations.