Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance evaluation of modified QAM and triangular shaped signal set

Two types of signaling schemes are proposed for a large alphabet size, and the performance of each is analyzed. The first scheme is modified quadrature amplitude modulation (MQAM), for which the orthogonality property of the in-phase and quadrature signals are preserved, although the signal constellation is no longer rectangular. The second scheme is triangular shaped signal set (TSSS), which is a member of the general class of amplitude phase shift keying systems. The main objective of employing either MQAM or TSSS is to achieve almost optimum performance or the optimum performance, respectively, under the peak signal power limitations. This, however, should be achieved without unduly increasing hardware complexity. The probabilities of the error performances for MQAM and TSSS are determined, and the the detection characteristics for the three types of modulation schemes are compared. TSSS shows the best performance over both QAM (quadrature amplitude modulation) and MQAM when the alphabet size is larger than 64. <<ETX>>
Evaluation of the psycho-social risks with the instrument "CTCPS-MAC" -support for the study of the conditions of the psycho-social work- in the Department of Public Works of the city hall of the South of Jalisco (México)

Objective: To describe the work conditions of psycho-social character perceived by the personnel of the department of Public Works of the City Hall of the South of Jalisco (Mexico). Materials and methods: The study was descriptive and was realized in a sample of 53 employees of different areas of the organization composed by 115 workers. CTCPS-MAC: support for the study of the conditions of the psycho-social work, was in use. Results: Social-demographic information was obtained of the participants as well as of the dimensions and the risks factors that compose each of them. It found that though there is a perception of which the conditions of work of psycho-social character are in levels of “good” and “very good”. Nevertheless, they present punctuations of regular to harmfully in some cases. Conclusion: The dimension contained of work is perceived by 41.5 % as regular, also in three of its four factors with 41.5 % with work environment , with 45.3 % team and physical agents and, with 32.1 % conception of the tasks of the working place registering in additional cases in harmful level that also presents the role factor in the organization of the dimension of work context and the subjective factor symptoms and alterations of the health —psychological conditions— physiological response of the dimension spoils psychically by what a process of intervention is needed.
Photoluminescence-Based Bioassay With Cysteamine-Capped TiO2 Nanoparticles for the Selective Recognition of N-Acyl Homoserine Lactones

Currently available diagnostic procedures for infections are laborious and time-consuming, resulting in a substantial financial burden by increasing morbidity, increased costs of hospitalization, and mortality. Therefore, innovative approaches to design diagnostic biomarkers are imperative to assist in the rapid and sensitive diagnosis of microbial infections. Acyl homoserine lactones (AHLs) are ubiquitous bacterial signaling molecules that are found to be significantly upregulated in infected sites. In this pioneering work, we have developed a simple photoluminescence-based assay using cysteamine-capped titanium oxide (TiO2) nanoparticles for AHL detection. The PL intensity variation of the oxygen defect state of TiO2 was used for the biosensing measurements. The bioassays were validated using two well-studied AHL molecules (C4-HSL and 3-oxo-C12 HSL) of an important human pathogen, Pseudomonas aeruginosa. The developed system has a maximum relative response of 98%. Furthermore, the efficacy of the system in simulated host urine using an artificial urine medium showed a linear detection range of 10–160 nM. Also, we confirmed the relative response and specificity of the system in detecting AHLs produced by P. aeruginosa in a temporal manner.
Joint Hypermobility in Paediatric Acute-Onset Neuropsychiatric Syndrome—A Preliminary Case-Control Study

Background: Individuals with generalised joint hypermobility (GJH, present in 10–20% of the general population) are at increased risk of being diagnosed with a range of psychiatric and rheumatological conditions. It is unknown whether Paediatric acute-onset neuropsychiatric syndrome (PANS), characterised by childhood onset obsessive-compulsive disorder or restricted eating and typically associated with several comorbid neuropsychiatric symptoms, is associated with GJH. It is also unknown whether extensive psychiatric comorbidity is associated with GJH. Method: This is a case-control study including 105 participants. We compared three groups: Individuals with PANS, individuals with other mental disorders and healthy controls. Joint mobility was assessed with the Beighton scoring system, psychiatric comorbidity with the M.I. N.I. or MINI-KID interview and symptoms of PANS with the PsychoNeuroInflammatory related Signs and Symptoms Inventory (PNISSI). Results: Hypermobility was similar across groups, and high rates of psychiatric comorbidity was not associated with higher Beighton scores. Conclusion: Although GJH is associated with several psychiatric conditions, such as ADHD and anxiety, this does not seem to be the case for PANS according to this preliminary study.
Work-Family Conflict, Enrichment, and Adolescent Academic Adjustment in Dual-Earner Family

There is ample evidence that work-family conflict (WFC) and work-family enrichment (WFE), respectively, have detrimental and beneficial impacts on the functioning of couples, families, and children. In this study, cross-sectional data from 2,136 dual-earner families in China, including parents and their children (51.2% girls, ages: 11.6–19.3 years), were used together with Actor-Partner Interdependence Model-Structural Equation Modeling (APIM-SEM) to test the hypothesis that work-family spillover can impact academic adjustment in adolescents through parental educational expectations and perceived educational expectations. The results of this analysis suggested that academic adjustment among adolescents is primarily influenced by maternal work-family experiences, such that maternal but not paternal WFC can impact academic adjustment in adolescents through parental educational expectations and perceived educational expectations. Maternal WFE was found to be indirectly associated with the academic adjustment in adolescents as a result of actual and perceived educational expectations. Additionally, we observed a significant effect of maternal WFC on the educational expectations of fathers within couple-relationship dyads. These results underscore the importance of the work-family interface as a factor that shapes the overall family health and associated outcomes, especially the importance of maternal work-family experiences in this context. Interventions that aim to promote more positive maternal work environments are thus likely to yield greater benefits for their children and families. Overall, these data indicate that work-family spillover is a core determinant of adolescent development, which warrants further study.
Miniature AR: Multi-view 6DOF Virtual Object Visualization for a Miniature Diorama

We describe a miniature diorama AR system called ‘Miniature AR’ which can be applied to a mechanical diorama to extend the content’s feasibility by overlapping virtual objects on the complex diorama structure. The previous AR researches for the diorama are usually based on 2D planar recognition, and multiple user experience cannot be considered due to multi-devices synchronization. To overcome these constraints, in this paper, we show a new diorama AR system suitable for a tiny complex structure. The contributions of our work are i) design of the diorama AR system, ii) AR space generation and 6DOF view device tracking for diorama, iii) multiple view and event synchronization for multiple users. The utility of the approach has been demonstrated under a real diorama environment (miniature of a ski slope) using mobile devices.
Implementation of three level hysteresis current control for a single phase voltage source inverter

Single phase hysteresis current controllers have traditionally been implemented using two level modulation which is known to be inferior to three level modulation. This paper presents a simple, low cost, and effective technique to allow single phase hysteresis current regulation to be implemented as three level modulation process. This achieves a substantial reduction in the magnitude and variation of the switching frequency, thus improving efficiency, while retaining all of the advantages identified with hysteresis current control. The operation and control of the inverter are described, together with simulation and experimental results.
Fiber-optic pigtail assembly and attachment alignment shift using a low-cost robotic platform

Under the NIST ATP Precision Optoelectronics Assembly Consortium program, Adept Technology has developed a low cost assembly platform for automated assembly of optoelectronic components. Using the low-cost platform outfitted with machine vision and a microstage, we conventional demonstrate robotic "pick and place/alignment" of a fiber-designed pigtail to an optoelectronic device mounted inside a Kovar/sup TM/ transceiver package housing. We also present experimental results quantifying the magnitude and direction of fiber-optic pigtail alignment shift during single-mode optical fiber solder bonding. With a fiber cantilever distance of 0.060", alignment shift of -4 /spl mu/m in the vertical direction and +/-2 /spl mu/m in the lateral direction is observed.
A RESEARCH BASED CASE STUDY ON THE USE OF COMPETITIVE INTELLIGENCE TOOLS IN A MULTINATIONAL CORPORATION

With the growth of the global economy, organizations large and small are increasingly recognizing that competitive intelligence (CI) is essential to compete in industry. CI is used to gain an advantage in commerce and is useful for analyzing a company’s strategic industry position. To remain current and profitable, organizations invest in new technologies to support CI needs; however, too few employees adequately utilize these technologies. Organizations that invest in new technologies and, in turn, use technologies to develop CI tools need to understand factors that influence utilization of those tools. This study provides industry and academia with information to assist in determining characteristics, specifically attitudes, which influence the frequency of employee CI tools usage. This research provides insight with regard to resource allocation for competitive intelligence tools and supporting technologies. Lastly, if other tools are being used to produce CI and are being developed outside the organization, expenditures made to support and develop tools within the company confines could decrease or become unnecessary.
A Preliminary Examination of Situation Awareness and Pilot Performance in a Synthetic Vision Environment

Synthetic vision displays utilize computer generated imagery derived from an onboard database of terrain, obstacle, and airport information to provide pilots with an unobstructed view of the world ahead. A major goal of these displays is to reduce low visibility related aviation accidents such as CFIT. In addition to improving pilot performance, synthetic vision displays may also affect pilot situation awareness. Prototype synthetic vision displays were examined in a high-resolution graphics simulation facility at NASA Langley Research Center. Two display sizes, two fields of view, and the presence of a tunnel guidance system were manipulated to investigate the effects on pilot performance and situation awareness. Use of a tunnel guidance system improved pilot performance and lowered reported mental workload. Participants reported lower workload and increased situation awareness with the smaller display size. There were no profound performance differences as a function of display size. Implications of retrofitting synthetic vision displays into existing aircrafts is discussed.
Photo-origami—Bending and folding polymers with light

Photo-origami uses the dynamic control of the molecular architecture of a polymer by a combination of mechanical and non-contact optical stimuli to design and program spatially and temporally variable mechanical and optical fields into a material. The fields are essentially actuators, embedded in the material at molecular resolution, designed to enable controllable, sequenced, macroscopic bending and folding to create three-dimensional material structures. Here, we demonstrate, through a combination of theory, simulation-based design, synthesis, and experiment, the operative phenomena and capabilities of photo-origami that highlight its potential as a powerful, and potentially manufacturable, approach to create three-dimensional material structures.
A Web Based English to Punjabi MT System for News Headlines

Machine translation (MT) processes a natural language to translate it into some other natural language for the benefits of people of various fields. In recent years, the inter regional and inter language exchange of information has increased tremendously. Due to this, the demand of translation has increased. The performance of an MT system depends on the approach used to design the system. In this paper we are presenting a web based English to Punjabi MT system that translates news headlines of an English news paper into Punjabi in a particular domain.
Support Vector Linearly Inseparable Algorithm and its Optimizing Microwave Calcining Technology of Ammonium Uranyl Carbonate

Support vector machines (SVMs) are a promising type of learning machine based on structural risk minimization and statistical learning theory, which can be divided into two categories: support vector classification (SVC) machines and support vector regression machines (SVR). The basic elements and algorithms of SVC machines are discussed. As modeling and prediction methods are introduced into the experiment of microwave calcining AUC, the better prediction accuracy and the better fitting results are compare with back propagation (BP) neural network method. This is conducted to elucidate the good generalization performance of SVMs, especially good for dealing with the data of some nonlinearity.
Fabrication and Testing of 6H-SiC JFETs for Prolonged 500 °C Operation in Air Ambient

This paper reports on the fabrication and testing of 6H-SiC junction field effect transistors (JFETs) and a simple differential amplifier integrated circuit that have demonstrated 2000 hours of electrical operation at 500 °C without degradation. The high-temperature ohmic contacts, dielectric passivation, and packaging technology that enabled such 500 °C durability are briefly described. Key JFET parameters of threshold voltage, on-state resistance, transconductance, and on-state current, as well as the gain of the differential amplifier integrated circuit, exhibited less than 7% change over the first 2000 hours of 500 °C operational testing.
About the DC-link capacitors voltage balance in multi-point clamped converters

The multi-point clamped converter (MPCC) represents an interesting technical solution to overcome the limitations in voltage and power posed by the existing semiconductor devices. However, if real power must be delivered to the load, DC-link capacitors exhibit a problematic voltage unbalance, that can be faced in both active or passive ways, that is, by using or not using additional components. Both approaches can be used together, in order to optimize the system performances. The authors have analyzed this problem from an analytical point of view and have developed a modulation control strategy that exploits the inherent redundancy in switching configurations to achieve a correct voltage sharing, in the case of a MPCC with four DC-link capacitors. The results obtained are presented and discussed in a critical way and they are correlated to the case where an active rectifier is used as an input stage to achieve near unity power factor and capacitors voltage balance.
Team oriented problem solving

Team oriented problem solving is a multi-disciplined approach. It integrates traditional approaches to problem solving with structures for supporting and enhancing team-work. It presents an opportunity to cultivate an effective approach to actually solving a wide range of problems, whilst building and cultivating team-work. It creates substantial synergisms through the interaction of a rigorous problem-solving methodology with a process which draws out the best of both individuals and the team. The author discusses the approaches used by Sporting Bodymind to enhance team building and problem solving. He discusses guidelines for the beginning of each problem solving session, the roles of team members, communication skills, problem solving activities, and 'warming down' at the end of a session.
THE HEART AUSCULTATION: FROM SOUND TO GRAPHICAL

Heart sounds and murmurs have very small amplitude and frequency signals thus make it so difficult to hear without the correct tools. In clinical practice currently, physicians listen to the patient heart sound and murmurs by using the traditional technique as an example mechanical stethoscope which having low accuracy and could lead to the false diagnosis. Moreover, conventional method has no ability to record the sound measured. Worst still it is totally depending on the physician’s skills and experienced which this ability is decreased over time. This issue is highly important in early detection of heart sound abnormal. The stereo heart auscultation purposed in this research is to provide solutions rise from conventional technique. Furthermore, the sound signals produced from heart will be converted to the real-time graphically presented with time-frequency analysis, which provides more information about the heart conditions by sound produced. The system compromise hardware such as electrical transducer, electronic circuit, data-acquisition device, computer and also software for signal visualization or imaging. Database of heart sound and murmurs use to validate the developmental system replacing true patients. It has been demonstrated, in preliminary result, that heart sound classification according to on types of a valve problem such as aortic regurgitation, mitral regurgitation, tricuspid regurgitation, aortic stenosis and pulmonic stenosis could be differentiated using the development measurement system.
Role of Cell Morphology in Classical Delta-Notch Pattern Formation

Notch signaling is responsible for creating contrasting states of differentiation among neighboring cells during organism’s early development. Various factors can affect this highly conserved intercellular signaling pathway, for the formation of fine-grained pattern in cell tissues. As cells undergo dramatic structural changes during development, one of the factors that can influence cell-cell communication is cell morphology. In this study, we elucidate the role of cell morphology on mosaic pattern formation in a realistic epithelial layer cell model. We discovered that cell signaling strength is inversely related to the cell area, such that smaller cells have higher probability/tendency of becoming signal producing cells as compared to larger cells during early embryonic days. In a nutshell, our work highlights the role of cell morphology on the stochastic cell fate decision process in the epithelial layer of multicellular organisms.
Turn-off failure mechanisms in large (2.2 kV, 20 A) MCT devices

In this paper we present the phenomenological mechanisms leading to turn-off failures for large size MCT devices under inductive loading. Depending on the device current and the clamping voltage two different mechanisms lead to turn-off failures. At lower clamping voltages or in soft switching conditions the SOA is limited by the MOSFET and cathode design rules. At higher voltages and in hard switched conditions the dynamic formation of filaments limits the SOA. The failure phenomena were found to be independent, of cathode layout details, anode structuring, device size, and load circuit, thus representing the fundamental limits of the MCT. However, for optimal selection of these parameters, the failure level can be pushed to high power permitting industrial application of the device. The experimental investigation was carried out with MCT samples of different sizes and layout features and by analysis of destructed devices. The device simulator SIMUL_/sub ISE/ was used to identify the failure mechanisms.
Unsupervised Body Hair Detection by Positive-Unlabeled Learning in Photoacoustic Image

Photoacoustic (PA) imaging is a new imaging technology that can non-invasively visualize blood vessels and body hair in 3D. It is useful in cosmetic surgery for detecting body hair and computing metrics such as the number and thicknesses of hairs. Previous supervised body hair detection methods often do not work if the imaging conditions change from training data. We propose an unsupervised hair detection method. Hair samples were automatically extracted from unlabeled samples using prior knowledge about spatial structure. If hair (positive) samples and unlabeled samples are obtained, Positive Unlabeled (PU) learning becomes possible. PU methods can learn a binary classifier from positive samples and unlabeled samples. The advantage of the proposed method is that it can estimate an appropriate decision boundary in accordance with the distribution of the test data. Experimental results using real PA data demonstrate that the proposed approach effectively detects body hairs.
High Performance Power Distribution Networks with On-Chip Decoupling Capacitors for Nanoscale Integrated Circuits

With the on-going miniaturization of integrated circuit feature size, the design of power and ground distribution networks has become a challenging task. With technology scaling, the requirements placed on on-chip power distribution systems have significantly increased. The higher switching speed of a greater number of smaller transistors produces faster and larger current transients in the power distribution network. These conditions place strict requirements on the on-chip power distribution network to ensure the integrity of the on-chip power supply. To manage the problem of high power dissipation, multiple on-chip power supply voltages have become commonplace in nanoscale integrated circuits. On-chip power distribution grids with multiple power supply voltages and multiple grounds are presented in this dissertation. The impedance characteristics of the power distribution grids with multiple power supply voltages and multiple grounds are described. The proposed power distribution grid structures are shown to outperform traditional power distribution grids with multiple power supply voltages and a single ground.
C3D-UNET: A Comprehensive 3D Unet for Covid-19 Segmentation with Intact Encoding and Local Attention

For COVID-19 prevention and treatment, it is essential to screen the pneumonia lesions in the lung region and analyze them in a qualitative and quantitative manner. Three-dimensional (3D) computed tomography (CT) volumes can provide sufficient information; however, extra boundaries of the lesions are also needed. The major challenge of automatic 3D segmentation of COVID-19 from CT volumes lies in the inadequacy of datasets and the wide variations of pneumonia lesions in their appearance, shape, and location. In this paper, we introduce a novel network called Comprehensive 3D UNet (C3D-UNet). Compared to 3D-UNet, an intact encoding (IE) strategy designed as residual dilated convolutional blocks with increased dilation rates is proposed to extract features from wider receptive fields. Moreover, a local attention (LA) mechanism is applied in skip connections for more robust and effective information fusion. We conduct five-fold cross-validation on a private dataset and independent offline evaluation on a public dataset. Experimental results demonstrate that our method outperforms other compared methods.