Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Relationship Between Abnormal Current and Position Detection Error in Sensorless Controller for Interior Permanent-Magnet Brushless DC Motors

We have analyzed the characteristics of terminal voltages used to detect rotor position in interior permanent-magnet (IPM) brushless DC (BLDC) motors in sensorless control by employing a two-phase conduction method. We found that a detected zero crossing point (ZCP) of the open phase voltage advances the real rotor position due to additional voltage components caused by variation of inductance with rotor position. We conclude that the amount of position error is related to rotor saliency, load, and motor speed. We also present the relationship between abnormal currents and amount of position errors in the sensorless controller by using simulations that take into account additional voltages in our model of terminal voltages and motor neutral voltage as well as experiments with a position sensor. We verified the validity of our analysis on IPM motors having various motor parameters under sensorless control.
Service users' experiences of 'as needed' psychotropic medications in acute mental healthcare settings.

AIMS This paper reports a study which aimed to explore service users' views and experiences of the processes associated with the prescription and administration of 'as needed' (p.r.n.) psychotropic medications in acute mental health settings. BACKGROUND Few studies have explored the use of 'as needed' medication in acute mental healthcare settings. Such medication is frequently requested by service users, but the literature is unclear about the reasons for these requests or service users' experiences of this treatment. METHOD A convenience sample of 22 inpatients participated in face-to-face semi-structured interviews exploring their treatment experiences of 'as needed' psychotropic medication in acute mental health settings in a large city in the United Kingdom in 2005. Thematic content analysis was carried out. RESULTS Interviewees highlighted the value of 'as needed' medications. However, the process associated with their use was perceived as confusing and stigmatizing. Service users had limited understanding of and felt unsupported in attempts to use alternatives approaches. Additionally, the decision-making and information-giving processes were unclear to them, which raises issues of power and control in acute mental health settings. CONCLUSIONS Nurses should take account of the issues of power and control when administering 'as needed' medication. The provision of adequate treatment information should be a priority to enable informed choices to be made about this form of medication.
Lifetime allocation of juvenile and adult nutritional resources to egg production in a holometabolous insect

In holometabolous insects reproductive success is strongly determined by the nutritional resources available to the females. In addition to nutrients derived from adult feeding, resources for egg production may come from the limited reserves accumulated during the larval stages. The pattern of allocation of these larval reserves to egg production is expected to be strongly linked to the nutritional ecology of the adult. We investigate the temporal pattern of allocation of larval reserves to reproduction in a host–feeding parasitoid wasp. As predicted by the dynamics of allocation of an adult meal, larval reserves are the main source of nutrients for four or five days after emergence. However, despite the high frequency of host–feeding and the high nutrient content of a haemolymph meal, which we predicted would lead to larval reserves being conserved in the event of host deprivation, larval reserves contribute to egg production throughout the lifetime of the female. We propose several mechanistic and adaptive explanations for our results, including the possible existence of a limiting or key nutrient for egg production of exclusively larval origin. We make further predictions concerning the pattern of allocation of larval resources in parasitoids with different adult nutritional requirements.
Handoff in hybrid mobile data networks

With the emergence of a variety of mobile data services with variable coverage, bandwidth, and handoff strategies, and the need for mobile terminals to roam among these networks, handoff in hybrid data networks has attracted tremendous attention. This article presents an overview of issues related to handoff with particular emphasis on hybrid mobile data networks. Issues are logically divided into architectural and handoff decision time algorithms. The handoff architectures in high-speed local coverage IEEE 802.11 wireless LANs, and low-speed wide area coverage CDPD and GPRS mobile data networks are described and compared. A survey of traditional algorithms and an example of an advanced algorithm using neural networks for PTO decision time in homogeneous networks are presented. The HO architectural issues related to hybrid networks are discussed through an example of a hybrid network that employs GPRS and IEEE 802.11. Five architectures for the example hybrid network, based on emulation of GPRS entities within the WLAN, mobile IP, a virtual access point, and a mobility gateway (proxy), are described and compared. The mobility gateway and mobile IP approaches are selected for more detailed discussion. The differences in applying a complex algorithm for HO decision time in a homogeneous and a hybrid network are shown through an example.
Visualizing transcription in real-time

The transcriptional process is at the center of the gene expression pathway. In eukaryotes, the transcription of protein-coding genes into messenger RNAs is performed by RNA polymerase II. This enzyme is directed to bind at upstream gene sequences by the aid of transcription factors that assemble transcription-competent complexes. A series of biochemical and structural modifications render the polymerase transcriptionally active so that it can proceed from an initiation state into a functional elongating phase. Recent experimental efforts have attempted to visualize these processes as they take place on genes in living cells and to quantify the kinetics of in vivo transcription.
Simultaneous Localization and Mapping (SLAM) : towards an autonomous search and rescue aiding drone

When having to find survivors in a heavily damaged building it is saver to send a drone that generates a 3D map before sending in emergence personnel. The generated map can then be used to locate the survivors and rescue them. This thesis proposes a light weight implementation of a 3D mapping algorithm that is designed to be run onboard of a drone. The map is generated by stitching together multiple images from a RGBD (RGB and depth image) camera by looking at the movement of the drone between two consecutive frames. This is accomplished by calculating an initial transformation by using ORB features and then optimizing this transformation using the point to projection scan matching method. To be able to test the implementation a dataset is recorded by moving the camera through a hallway. The implementation is able to stitch together all the images into a single 3D model with an average frame rate of 17 fps on a HP 8570w. There is however an ever-increasing error that can be reduced by using an Inertial Measurement Unit (IMU) or by implementing a loop closing algorithm or by using graph optimization techniques.
Advances in Brief Aberrant Promoter Methylation Profile of Bladder Cancer and Its Relationship to Clinicopathological Features 1

We investigated the aberrant promoter methylation profile of bladder cancers and correlated the data with clinicopathological findings. The methylation status of 10 genes was determined in 98 surgically resected bladder cancers, and we calculated the median methylation index (MI), a reflection of the methylated fraction of the genes tested. Methylation frequencies of the genes tested in bladder cancers were 36% for CDH1, 35% for RASSF1A and APC, 29% for CDH13, 16% for FHIT, 15% for RAR , 11% for GSTP1, 7% for p16, 4% for DAPK, and 2% for MGMT. Methylation of four of the individual genes (CDH1, RASSF1A, APC, and CDH13) and the MI were significantly correlated with several parameters of poor prognosis (tumor grade, growth pattern, muscle invasion, tumor stage, and ploidy pattern). Methylation of CDH1, FHIT, and a high MI were associated with shortened survival. CDH1 methylation positive status was independently associated with poor survival in multivariate analyses. Our results suggest that the methylation profile may be a potential new biomarker of risk prediction in bladder cancer.
Stand Up and Speak Up

This article presents the work of Dr. Manuela Priesemuth. This dissertation examines what happens when employees witness supervisory abuse in the workplace. In particular, it explores whether—and when—employees will respond to witnessing supervisory abuse by engaging in prosocial actions aimed at benefitting the target of abuse. Below, the author discusses the notion of abusive supervision, theoretical perspectives of work on third-party observers, and the conditions under which the author believes third-party observers of abuse are more inclined to engage in positive behavior toward victims. Finally, the reflection commentary provides insights about the research journey in which the author participated.
Designing Methods for Error Correction in Gene Fabrication

Gene Fabrication technology involves the development and optimization of methods relevant to the in vitro synthesis of any given target gene sequence(s) in the absence of template. The driving purpose of this field of research is to bring about the capability for on-demand fabrication of a DNA construct of arbitrary length and sequence quickly, efficiently, and cost-effectively. One of the main challenges in gene fabrication is to not only synthesize a given DNA target, but to do so without making any errors. At high error rates, fabrication of long gene targets is expensive and impractical in some cases, it is impossible. Improvements in error rates are essential for continued progress in the development of gene fabrication technology. Error reduction technologies can be broadly split into three categories at present: error filtration, error correction, and error prevention. This thesis presents the past, present, and future design of a number of quick, easy, robust, economical, and effective error reduction methods in gene fabrication. Thesis Supervisor: Joseph Jacobson Title: Associate Professor of Media Arts and Sciences and Mechanical Engineering
Cybernetics and Informatics Vyšná Boca, Slovak Republic Relay Identification by Analyzing Nonsymmetrical Oscillations for Single Integrator with Time Delay

The paper deals with approximation of systems with the dominant first order dynamics and nonsymmetrical input by the Integrator Plus Dead Time (IPDT) model by means of analysis of the nonsymmetrical oscillations arising under relay control. The results achieved by identification of optical plant are then experimentally verified by Disturbance Observer (DOB) based controller. 1 INTRODUCTION Relay feedback test is very popular approach used in a commercial autotuners. The current research in this area was closely analyzed in (Tao Liu, Furong Gao 2009). There are two types of relay tests, unbiased and biased. When using the unbiased test the process gain can be highly deflorated by a load disturbance. Many relay feedback methods have been proposed to reject Their approaches bias the reference value of the relay on–off as much as a static disturbance (that must be known in advance), in order to achieve the same accuracy as in the case of no disturbance. Nevertheless none of these approaches can be applied to large static disturbance, of which the magnitude is bigger than that of the relay. By inserting a proportional integral (PI) controller behind the relay for the test, (Sung and Lee, 2006) proposed an identification method for application against large static disturbance, larger than the magnitude of the relay. The drawback of the method is given be necessity to tune an additional controller.
Joint Learning of Chinese Words, Terms and Keywords

Previous work often used a pipelined framework where Chinese word segmentation is followed by term extraction and keyword extraction. Such framework suffers from error propagation and is unable to leverage information in later modules for prior components. In this paper, we propose a four-level Dirichlet Process based model (DP-4) to jointly learn the word distributions from the corpus, domain and document levels simultaneously. Based on the DP-4 model, a sentence-wise Gibbs sampler is adopted to obtain proper segmentation results. Meanwhile, terms and keywords are acquired in the sampling process. Experimental results have shown the effectiveness of our method.
Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars

We present a novel approach to the problem of overfitting in the training of stochastic models for selecting parses generated by attribute-valued grammars. In this approach, statistical features are merged according to the frequency of linguistic elements within the features. The resulting models are more general than the original models, and contain fewer parameters. Empirical results from the task of parse selection suggest that the improvement in performance over repeated iterations of iterative scaling is more reliable with such generalized models than with ungeneralized models.
Cognitive modeling demonstrates how people use anticipated location knowledge of menu items

This research presents cognitive models of a person selecting anitem from a familiar, ordered, pull-down menu. Two different modelsprovide a good fit with human data and thus two different possibleexplanations for the low- level cognitive processes involved in thetask. Both models assert that people make an initial eye and handmovement to an anticipated target location without waiting for themenu to appear. The first model asserts that a person knows theexact location of the target item before the menu appears, but themodel uses nonstandard Fitts law coefficients to predict mousepointing time. The second model asserts that a person would onlyknow the approximate location of the target item, and the modeluses Fitts law coefficients better supported by the literature.This research demonstrates that people can develop considerableknowledge of locations in a visual task environment, and that morework regarding Fitts law is needed.
Guidelines on Vaccinations in Paediatric Haematology and Oncology Patients

Objective. Vaccinations are the most important tool to prevent infectious diseases. Chemotherapy-induced immune depression may impact the efficacy of vaccinations in children. Patients and Methods. A panel of experts of the supportive care working group of the Italian Association Paediatric Haematology Oncology (AIEOP) addressed this issue by guidelines on vaccinations in paediatric cancer patients. The literature published between 1980 and 2013 was reviewed. Results and Conclusion. During intensive chemotherapy, vaccination turned out to be effective for hepatitis A and B, whilst vaccinations with toxoid, protein subunits, or bacterial antigens should be postponed to the less intensive phases, to achieve an adequate immune response. Apart from varicella, the administration of live-attenuated-virus vaccines is not recommended during this phase. Family members should remain on recommended vaccination schedules, including toxoid, inactivated vaccine (also poliomyelitis), and live-attenuated vaccines (varicella, measles, mumps, and rubella). By the time of completion of chemotherapy, insufficient serum antibody levels for vaccine-preventable diseases have been reported, while immunological memory appears to be preserved. Once immunological recovery is completed, usually after 6 months, response to booster or vaccination is generally good and allows patients to be protected and also to contribute to herd immunity.
Overview of Advanced Computer Vision Systems for Skin Lesions Characterization

During the last years, computer-vision-based diagnosis systems have been used in several hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and more specifically, the recognition of malignant melanoma tumour. In this paper, we review the state of the art in such systems by first presenting the installation, the visual features used for skin lesion classification, and the methods for defining them. Then, we describe how to extract these features through digital image processing methods, i.e., segmentation, border detection, and color and texture processing, and we present the most prominent techniques for skin lesion classification. The paper reports the statistics and the results of the most important implementations that exist in the literature, while it compares the performance of several classifiers on the specific skin lesion diagnostic problem and discusses the corresponding findings.
A Transport Layer Approach to Handover in IP Networks

In this paper we scrutinize the applicability of network layered mobility schemes, in particular mobile IP, within a mobile environment. We argue that a transport layer solution is better suited to support handover mechanisms, because not only will it reduce the overall complexity of the handover process but also it will permit applications to take advantage of influencing handover management. In this paper we present a concept of Socketless TCP (SL-TCP) that may be used to enhance packet multiplexing and de-multiplexing at the transport layer to support address migration and handover mechanism
Machine Learning Methods for Mortality Prediction in Patients with ST Elevation Myocardial Infarction ∗

ST Elevation Myocardial Infarction (STEMI) is the leading cause of death in developed countries. The objective of our research is to design and verify a predictive model of hospital mortality in STEMI based on clinical data about patients that could serve as a benchmark for evaluation of healthcare providers. In this paper we present results of an experimental evaluation of different machine learning methods on a real data about 603 patients from University Hospital in Olomouc.
Design and Research of a High-Speed and High-Frequency Pulsed Alternator

Pulsed alternators have the merits of high energy and power densities, which are applied to a wide range of applications, such as the electromagnetic launch, the pulsed laser, and the pulsed high magnetic field. A new type of high-speed and high-frequency pulsed alternator integrating an alternator and a motor, is proposed in this paper. A solid rotor which is made of high-strength alloy steel with high yield strength is used in the pulsed alternator, so it can work at a high tip speed. This machine consists of two alternators and a motor which share one rotor and one field winding. According to different voltage levels and operation frequencies, the motor and the alternators with different stack lengths and pole-pairs are designed, respectively. Therefore, it has the abilities of being driven by low-frequency current and discharging high-frequency pulses. In this paper, the basic structure and fundamental of the pulsed alternator are introduced, the specific parameters of the prototype are given, and the performances are verified by the simulation. The results show that the machine proposed in this paper is suitable for the applications that require high-frequency pulsed discharge.
Curative effect of HF10 on liver and peritoneal metastasis mediated by host antitumor immunity

Background HF10 is a highly attenuated type 1 herpes simplex virus (HSV) with proven effective oncolytic effect. Previous investigations have demonstrated that colon cancer mice model treated with HF10 not only had better survival but were also resistant to the reimplantation of the antitumor effect mediated by host antitumor immunity. Importantly, it has also been noted that in mice with antitumors implanted on both sides of the back, an injection of HF10 on only one side strongly restrains not only the injected antitumor but also the non-injected ones. Materials and methods MC26 colon cancer cells were injected subcutaneously into the back, spleen, and intraperitoneal region of metastasis model mice. Antitumor volume and survival rate were monitored. To measure cytotoxic T lymphocytes (CTL) cytotoxicity against MC26, lymphocytes were extracted from the spleens of the peritoneal metastasis model mice as well as from the thymus of the liver metastasis model mice. The expression of interferon gamma was examined by enzyme-linked immunospot assay. Samples from the liver metastasis model mice were subjected to polymerase chain reaction to quantify the level of HSV genomes. Results HF10 was injected only on the back antitumor; however, a antitumor-suppressor effect was observed against liver and peritoneal metastases. When HF10 genome was measured, we observed lower genome on liver metastases compared to back antitumor genome quantity. CTL activity against MC26 was also observed. These results indicate that local administration of HF10 exerts a curative effect on systemic disease, mediated by host antitumor immunity. Conclusion HF10 local administration stimulates antitumor immunity to recognize antitumor-specific antigen, which then improves systemic disease. Metastatic antitumors lysis, on the other hand, appears to be mediated by the host immune system, rather than by virus-mediated direct oncolysis.
Chair-Side Quantitative Oral-Microflora Screening for Assessing Familial Correlation of Periodontal Status and Caries Prevalence

Aim: Our goal was to investigate the relationship between clinical status and the presence of carious or periodontal pathogens among parent-child familial pairs. Clinical practices of risk assessment with consideration of familial pathogen interaction might reduce the need for therapy, improve patient outcomes, and ultimately reduce oral disease burden. Materials and Methods: In this study, we enrolled 30 parent-child pairs, with the children exhibiting complete deciduous dentition or mixed dentition with only permanent first molars. Clinical statuses were evaluated using caries and periodontal disease indicators, including the sum of decay and the number of missing or filled teeth (DMFT) for adults, decay, extraction caused by dental disease, and filled teeth (deft), for children, probing depth, and plaque control record (PCR). Supra- and sub-gingival bacteria were determined based on semi-quantitative measurements of microbial infection by using data from the Dentocult® SM test (caries-related organisms) and the PerioCheck® test (periodontal disease-related organisms). Results: No statistically significant relationship was detected between the prevalence of periodontal pathogens and that of cariogenic pathogens in the oral cavity. However, the clinical status of caries (DMFT) was negatively correlated with the clinical status of periodontal disease (pocket depth) in parents who were infected with dominant periodontal pathogens (r = −0.59, p<0.01). Parents’ DMFT scores were positively correlated with children’s deft and PCR scores. PCR and deft scores of children appeared to decrease significantly with the parent’s pocket depth. Conclusion: The study showed that the quantity of caries pathogens were not significant related to periodontal pathogens, but the caries clinical outcome is negative related with periodontal clinical outcome between familial pairs.