Miracle-dz/UniFAR-FTUs huggingface dataset:
Position-Offset-Based Parameter Estimation Using the Adaline NN for Condition Monitoring of Permanent-Magnet Synchronous Machines

This paper proposes how to use the addition of rotor position offsets as perturbation signals for the parameter estimation of permanent-magnet synchronous machines (PMSMs), which can be used for the condition monitoring of rotor permanent magnet and stator winding. During the proposed estimation, two small position offsets are intentionally added into the drive system, and the resulting voltage variation will be recorded for the estimation of rotor flux linkage. With the aid from estimated rotor flux linkage, the stator winding resistance can be subsequently estimated at steady state. This method is experimentally verified on two prototype PMSMs (150 W and 3 kW, respectively) and shows good performance in monitoring the variation of rotor flux linkage and winding resistance.
Blind adaptive channel estimation for dual-rate DS/CDMA signals

This letter proposes the subspace-based blind adaptive channel estimation algorithm for dual-rate quasi-synchronous DS/CDMA systems, which can operate at the low-rate (LR) or high-rate (HR) mode. Simulation results show that the proposed blind adaptive algorithm at the LR mode has a better performance than that at the HR mode, with the cost of an increasing computational complexity.
Neuroimaging of Dandy-Walker Malformation: New Concepts

Abstract Dandy-Walker malformation (DWM) is the most common human cerebellar malformation, characterized by hypoplasia of the cerebellar vermis, cystic dilation of the fourth ventricle, and an enlarged posterior fossa with upward displacement of the lateral sinuses, tentorium, and torcular. Although its pathogenesis is not completely understood, there are several genetic loci related to DWM as well as syndromic malformations and congenital infections. Dandy-Walker malformation is associated with other central nervous system abnormalities, including dysgenesis of corpus callosum, ectopic brain tissue, holoprosencephaly, and neural tube defects. Hydrocephalus plays an important role in the development of symptoms and neurological outcome in patients with DWM, and the aim of surgical treatment is usually the control of hydrocephalus and the posterior fossa cyst. Imaging modalities, especially magnetic resonance imaging, are crucial for the diagnosis of DWM and distinguishing this disorder from other cystic posterior fossa lesions. Persistent Blake’s cyst is seen as a retrocerebellar fluid collection with cerebrospinal fluid signal intensity and a median line communication with the fourth ventricle, commonly associated with hydrocephalus. Mega cisterna magna presents as an extraaxial fluid collection posteroinferior to an intact cerebellum. Retrocerebellar arachnoid cysts frequently compress the cerebellar hemispheres and the fourth ventricle. Patients with DWM show an enlarged posterior fossa filled with a cystic structure that communicates freely with the fourth ventricle and hypoplastic vermis. Comprehension of hindbrain embryology is of utmost importance for understanding the cerebellar malformations, including DWM, and other related entities.
THE EEAR : BUILDING A REAL-TIME MIR-BASED INSTRUMENT FROM A HACK

In this demo we present The Eear , a set of musical creation tools that deal intelligently with chord and key qualities in musical signals. Using ubiquitous mobile devices such as smart phones and tablets, feature extraction is performed in real-time and sent to an audio plugin instrument on the desktop side for key aware sample selection and playback. We report on the progress of this instrument from its early incarnation as a hack presented at S´onar 2015 in Barcelona.
Energy-efficient positioning for cellular networks with unknown path loss exponent

We propose a received signal strength (RSS) based energy-efficient positioning approach for cellular networks with unknown path loss exponent (PLE). A low-complexity searching algorithm is proposed for PLE estimation and a low-complexity lateration algorithm is proposed to provide the searching criteria. Simulation results show that the proposed positioning method achieves an accuracy similar to that of the nonlinear least square (NLS) algorithm, while requiring a much lower complexity.
Robust multi-user frequency offset estimation for uplink systems using OFDM technique

In this paper, we propose a new frequency offset estimation algorithm for systems using an OFDM technique. The proposed algorithm can jointly estimate both the integral and fractional parts of frequency offsets with very low complexity. Furthermore, the proposed algorithm can be easily applied to an uplink multi-user system for which all users may have different frequency offsets. Simulation results show that the proposed frequency offset estimation algorithm is very accurate when used with a time-varying multipath fading channel producing frequency offsets as large as several carrier spacings and with a number of users as large as 20.
Injuries associated with MR imaging: survey of safety records and methods used to screen patients for metallic foreign bodies before imaging.

OBJECTIVE The purpose of this study was to survey the methods used by academic institutions for identifying patients who might have metallic foreign bodies or other contraindications to MR imaging. We also sought to determine the types of MR-related injuries and any subsequent legal action that might have occurred at these institutions. MATERIALS AND METHODS A survey on these issues was mailed to 207 academic institutions listed in the American Medical Association's Directory of Graduate Medical Education Programs. Institutions that did not respond by mail were contacted by phone. The survey requested information on the use of questionnaires, plain radiography, CT, and metal detectors for screening potential MR imaging subjects, as well as on any MR-related injuries and subsequent legal action. Responses were entered into a data base and response percentages were calculated for each question. RESULTS The overall response rate for the survey was 99% (206/207). These 206 institutions have a total of 368 MR imaging units, with a mean number of 1.8 MR units per department (range, none to nine). Data from a total of 205 different sites revealed that all patients are screened before MR imaging with a written questionnaire at 93% of all institutions (190/205). For selected indications, 85% of departments (174/205) screen with plain film radiography of the orbits. For selected indications, 41% of facilities (83/205) screen with CT of the orbits. Patients are sometimes screened with a metal detector or magnetometer in 12% of the departments (24/205). Ten departments reported serious injuries relating to MR imaging. The most serious injury occurred when an oxygen tank near the magnet became a missile and struck a patient's face. Most injuries (nine of 14) were burns. Two institutions also reported adverse reactions to gadopentetate dimeglumine. Injuries prompted legal action against four of the 10 institutions. No injuries were related to intraorbital foreign bodies, vascular clips, or pacemakers in patients. CONCLUSION These data demonstrate the lack of consensus on screening protocols before MR imaging. Accidents are uncommon, but most accidents that do occur are potentially severe and easily preventable. We recommend that all patients be screened by a written questionnaire followed by oral questioning before imaging to determine those who are at risk. Specific questions should investigate the possibility that patients have ferromagnetic foreign bodies or implants anywhere in the body that are electrically, magnetically, or mechanically activated. All facilities must maintain a high state of vigilance in an effort to prevent iatrogenic burns and injuries from ferromagnetic missiles.
An Empirical Study on the Effects of Creative Personality and Job Autonomy on Individual Innovation Performance of Knowledge Workers

Knowledge workers or “the creative class” are viewed as core to the competitiveness of a firm in a knowledge-based economy. The present study examines the effect of job autonomy onthe creativity of knowledge workers, compared with the effects of creativepersonality.With the help of the moderated multiple regression modeling and based on the 267 samples, this paper studies the crucial influencing factors that affect individual innovative performance and how the job autonomy moderate the creativie personalitys and hope to do some contributions to the improvement of the individual innovative performance in Sci-Tech SMEs. Key words: Creative personality; Job autonomy; Knowledge workers; Individual innovation performance; Moderated
An improved test system for PCR-based specific detection of Echinococcus multilocularis eggs

Abstract For the sensitive detection of eggs of Echinococcus multilocularis in fox faeces by PCR we have evaluated a method based on the previous concentration of helminth eggs by a combination of sequential sieving of faecal samples and flotation of the eggs in zinc chloride solution. The eggs were microscopically detected in the fractions retained in 40 and 20µm mesh sieves. DNA of the taeniid eggs retained in the 20 µm sieve was obtained after alkaline lysis and PCR was performed using E. multilocularis species-specific primers. Compared to the parasitological findings after examination of the small intestines of the foxes, the specificity of the PCR was 100% (no false-positive result with 20 foxes free of E. multilocularis) and the sensitivity was 94% (33 positive results from total 35 foxes proven to be infected with E. multilocularis). Both false-negative results were obtained with faeces from foxes harbouring immature worms. Using faecal volumes between 2 and 20 ml, no inhibition of PCR was observed as was demonstrated by the amplification of size-modified target in parallel reactions. The tests were undertaken with fresh faeces stored in 70% ethanol, but egg detection by PCR was also possible after inactivation of eggs by freezing the faeces at −80°C for one week or by incubation at +70°C for 2 h.
Non-linear Transformations of Vector Space Embedded Graphs

In pattern recognition and related areas an emerging trend of representing objects by graphs can be observed. As a matter of fact, graph based representation offers a powerful and flexible alternative to the widely used feature vectors. However, the space of graphs contains almost no mathematical structure, and consequently, there is a lack of suitable algorithms for graph classification, clustering, and analysis. Recently, a general approach to transforming graphs into n-dimensional real vectors has been proposed. In the present paper we use this method, which can also be regarded as a novel graph kernel, and investigate the application of kernel principal component analysis (kPCA) on the resulting vector space embedded graphs. To this end we consider the common task of object classification, and show that kPCA in conjunction with the novel graph kernel outperforms different reference systems on several graph data sets of diverse nature.
Automatic registration of CCD images and infrared images of HJ-1 based on invariant feature and mutual-information

With the great progress of obtaining multi-source remote sensing image from different sensors with different resolutions, a single kind of remote sensing image could not meet the requirement of applications in many fields and it needs various kinds of remote sensing images usually to be used together. So, the algorithm of registering multi-source remote sensing images has become a hot issue in today’s research. Environmental satellite-1(HJ-1) includes a B Satellite—an optical satellite, providing information for the changing trends of the disasters and ecological environment within visible bands(30m) and infrared spectral bands(150m and 300m). The great differences in gray and resolution resulting form different imaging mechanism of IR and visible images make the fact that still no one method could effectively realize higher accurate registration for both IR and visible images. Through analyzing various remote sensing image registration algorithms, this paper proposes a registration approach based on SIFT and Mutual-Information(MI) according to the imaging characteristics of HJ-1 IR and visible images. First, the improved SIFT algorithm realizes the uniform distribution of feature points, and also speeds up the extraction rate of SIFT feature points. Then, the feature points are matched by using the MI method, which greatly improves the matching accuracy. Finally, some mismatched points are eliminated by using consistency checking, which further improved matching accuracy. Many experiments on HJ-1 visible images and different resolution IR images show that the algorithm proposed in this paper can quickly achieve accuracy registration between HJ-1 CCD images and IR images. So the algorithm has great practical values.
Example-based synthesis of turbulence by flow field style transfer

The computational cost of physically-based fluid simulation for generating realistic animations is expensive. Therefore, it takes a long time for an animator to create the desired animation. To reduce such costs, several methods have been developed that employ an approach in which turbulence is synthesized as a post process. Since, with this approach, global motion can be obtained using low-resolution fluid simulation, realistic animations with the desired behavior can be created at low cost. In the field of image editing, style transfer methods, which can efficiently achieve the desired stylization by transferring features of an example image to a user-specified image, have been proposed. We combine these concepts and present a novel style transfer method for turbulence by reusing the existing fluid animations. Our system allows the user to transfer turbulent motion from one flow field to other flow fields. We do this by extending example-based image synthesis methods to the flow field: a patch-based synthesis and an optimization-based texture synthesis. Our method is designed such that the resulting flow fields satisfy the incompressibility condition. Our method can intuitively and easily create high-resolution fluid animations with the desired turbulent motion.
[Influence of dexamethasone on the incidence of postoperative nausea and vomiting in breast cancer patients with neoadjuvant chemotherapy].

OBJECTIVE To evaluate the influence of dexamethasone on the incidence of postoperative nausea and vomiting (PONV) in patients undergoing modified radical mastectomy with neoadjuvant chemotherapy. METHODS In a prospective trial, 280 female (18-60 years) breast cancer patients undergoing modified radical mastectomy with neoadjuvent chemotherapy were randomized to two groups: one with dexamethasone (Group D) and one without dexamethasone (Group C, n=140). In each group, anesthesia was maintained with volatile anesthesia or total intravenous anesthesia (TIVA): TIVA (propofol) without dexamethasone (Subgroup CP); volatile anesthesia (sevoflurane) without dexamethasone (Subgroup CS); TIVA with 10 mg dexamethasone intravenously before anesthetic induction (Subgroup DP); volatile anesthesia with 10 mg dexamethasone intravenously before anesthetic induction (Subgroup DS). A standard general anesthetic technique was used. All the patients received 8 mg of ondansetron intravenously 30 minutes before the end of surgical procedures. The incidence of PONV during the 24-hour postoperative period was recorded. A Logistic regression analysis was conducted to examine relevant factors for PONV. The tested factors were: age, body mass index (BMI), duration of surgery, postoperative pain, history of motion sickness/PONV, with or without dexamethasone and anesthetic regimen. RESULTS There was a significant lower incidence of PONV in the patients who received dexamethasone than in those who received placebo during the 24-hour postoperative period (11.4% vs. 20.7%, P=0.034). In the early postoperative period (0-2 h) dexamethasone reduced the incidence of PONV ( 1.4%vs.6.4%, P=0.031), but in the late postoperative period (2-24 h) the difference of the incidence was insignificantly (10.7% vs. 17.9%, P=0.088). No differences were found between TIVA and volatile anesthesia in the 24-hour postoperative period. Dexamethasone was effective to prevent PONV(OR=0.447, P=0.030), and history of PONV or motion sickness was the risk factor of PONV (OR=15.730, P<0.001). CONCLUSION Dexamethasone prevents PONV effectively in patients undergoing modified radical mastectomy with neoadjuvant chemotherapy, and TIVA cannot decrease the incidence of PONV in the 24-hour postoperative period in those patients.
Open-Source Development Tools for Domain-Specific Modeling: Results from a Systematic Literature Review

Domain-specific modeling languages (DSMLs) are key to empowering organizational experts in interacting with business information systems. For this task, developing DSMLs based on the Unified Modeling Language (UML) has become a popular option. However, a number of design decisions must be considered when developing UML-based DSMLs. In this paper, we extend a systematic literature review (SLR) to cover decisions with respect to model-driven development (MDD) tooling. We extract tooling information from the selected SLR papers and classify these software tools supporting DSML development. Using this classification, we report on usage frequencies for MDD-based tools as well as on their corresponding open-and closed-source license models. Results indicate that closed-source tools are mostly employed as editors for the language model and the diagrammatic syntax of a DSML only. For DSML development aspects other than these, primarily open-source tools are utilized (e.g., for constraint evaluation, model transformation).
Correlation between hyperhomocysteine and serum cystatin C in diabetic nephropathy

The aim of this study was to investigate the changes and correlations of plasma Homocysteine (Hcy) and serum Cystatin C (Cys C) under different urinary albumin excretion rates in diabetic nephropathy. According to the 24 h urinary albumin excretion rate, 90 type 2 diabetes patients were divided into three groups: normal albuminuria group (n=27), microalbuminuria group (n=37), and macroalbuminuria group (n=17); 30 healthy subjects were included as controls. Fasting plasma glucose, glycosylated hemoglobin, triglyceride, cholesterol, serum creatinine, Hcy, and Cys C levels were determined, and the bivariate correlation analysis was used for linear correlation analysis. The Hcy values of the three groups were 8.46 ± 2.72, 9.43 ± 2.13, and 13.52 ± 5.24, respectively; these values were significantly different (P<0.01). The Cys C values of the three groups were also significantly different (P<0.01). As urine albumin excretion and aggravated glomerular filtration function increased, Hcy and Cys C levels also increased, showing a positive correlation (r=0.641, r=0.892, and r=0.765, P<0.01 in three groups, respectively). Combined detection of Hcy and Cys C can be used to predict the impacts of Hcy on glomerular filtration function and degree of renal damage of diabetic nephropathy. Blood Hcy levels should be evaluated at an early clinical stage.
DCapBAC: embedding authorization logic into smart things through ECC optimizations

In recent years, the increasing development of wireless communication technologies and IPv6 is enabling a seamless integration of smart objects into the Internet infrastructure. This extension of technology to common environments demands greater security restrictions, since any unexpected information leakage or illegitimate access to data could present a high impact in our lives. Additionally, the application of standard security and access control mechanisms to these emerging ecosystems has to face new challenges due to the inherent nature and constraints of devices and networks which make up this novel landscape. While these challenges have been usually addressed by centralized approaches, in this work we present a set of Elliptic Curve Cryptography optimizations for point and field arithmetic which are used in the design and implementation of a security and capability-based access control mechanism (DCapBAC) on smart objects. Our integral solution is based on a lightweight and flexible design that allows this functionality is embedded on resource-constrained devices, providing the advantages of a distributed security approach for Internet of Things (IoT) in terms of scalability, interoperability and end-to-end security. Additionally, our scheme has been successfully validated by using AVISPA tool and implemented on a real scenario over the Jennic/NXP JN5148 chipset based on a 32-bit RISC CPU. The results demonstrate the feasibility of our work and show DCapBAC as a promising approach to be considered as security solution for IoT scenarios.
When Far Becomes Near

On many occasions, people spontaneously or deliberately take the perspective of a person facing them rather than their own perspective. How is this done? Using a spatial perspective task in which participants were asked to identify objects at specific locations, we found that self-perspective judgments were faster for objects presented to the right, rather than the left, and for objects presented closer to the participants’ own bodies. Strikingly, taking the opposing perspective of another person led to a reversal (i.e., remapping) of these effects, with reference to the other person’s position (Experiment 1). A remapping of spatial relations was also observed when an empty chair replaced the other person (Experiment 2), but not when access to the other viewpoint was blocked (Experiment 3). Thus, when the spatial scene allows a physically feasible but opposing point of view, people respond as if their own bodies were in that place. Imagination can thus overcome perception.
The Relation between Commitment Forms and Work Outcomes in Jewish and Arab Culture

Abstract The demographic composition of Israel provided an opportunity to compare the relation between commitment forms and work/nonwork outcomes for workers from two well-established yet diverse cultures in the same geographic locale. This study examined 283 Arab and Jewish nurses in three Israeli hospitals using identical measures. As was predicted, the effects of commitment on work and nonwork outcomes were moderated by culture. Arab nurses were more committed than Jewish nurses, and their commitment had more favorable effects on their behaviors and especially on their attitudes at work. The results suggest caution when generalizing about the effects of commitment forms across different outcomes.