Miracle-dz/UniFAR-FTUs huggingface dataset:
Wide band planar monopole antenna covered with magnetic material

This paper introduces the novel wide band planar monopole antenna with parasitic elements covered magnetic material to reduce the antenna size for wireless communication. The VSWR less than 2 was obtained from 1.84–13.67 GHz and the band width was 152 % in the simulation results. The miniaturization of the magnetically-loaded planar monopole antenna has been investigated and the antenna area was reduced about 65 %. So, the proposed antenna was useful for mobile and wireless equipments. The effects of the magnetic material and this amount depend on the arranging position. The VSWR and radiation patterns must be confirmed in the experiment.
Novel function of vitamin E in regulation of zebrafish (Danio rerio) brain lysophospholipids discovered using lipidomics

We hypothesized that brains from vitamin E-deficient (E−) zebrafish (Danio rerio) would undergo increased lipid peroxidation because they contain highly polyunsaturated fatty acids, thus susceptible lipids could be identified. Brains from zebrafish fed for 9 months defined diets without (E−) or with (E+) added vitamin E (500 mg RRR-α-tocopheryl acetate per kilogram diet) were studied. Using an untargeted approach, 1-hexadecanoyl-2-docosahexaenoyl-sn-glycero-3-phosphocholine [DHA-PC 38:6, PC 16:0/22:6]was the lipid that showed the most significant and greatest fold-differences between groups. DHA-PC concentrations were approximately 1/3 lower in E− (4.3 ± 0.6 mg/g) compared with E+ brains (6.5 ± 0.9 mg/g, mean ± SEM, n = 10 per group, P = 0.04). Using lipidomics, 155 lipids in brain extracts were identified. Only four phospholipids (PLs) were different (P < 0.05) between groups; they were lower in E− brains and contained DHA with DHA-PC 38:6 at the highest abundances. Moreover, hydroxy-DHA-PC 38:6 was increased in E− brains (P = 0.0341) supporting the hypothesis of DHA peroxidation. More striking was the depletion in E− brains of nearly 60% of 19 different lysophospholipids (lysoPLs) (combined P = 0.0003), which are critical for membrane PL remodeling. Thus, E− brains contained fewer DHA-PLs, more hydroxy-DHA-PCs, and fewer lysoPLs, suggesting that lipid peroxidation depletes membrane DHA-PC and homeostatic mechanisms to repair the damage resulting in lysoPL depletion.
The association of −330 interleukin‐2 gene polymorphism and HLA‐DR15 allele in Iranian patients with multiple sclerosis

The purpose of this case–control study was to evaluate the frequencies and potential genetic susceptibility of the −330 IL2 T and G alleles and HLA‐DRB1*1501 allele in Iranian patients with multiple sclerosis (MS) compared to healthy controls. Two hundred and sixty Iranian patients with MS from medical genetics department of Sarem Women hospital were selected. Besides, 450 ethnically age‐ and sex‐matched healthy individuals without personal or family backgrounds of autoimmune disorders were enrolled as a control group. All polymorphisms were analysed using RFLP‐PCR technique. HLA‐DRB1 genotyping was carried out by HISTO TYPE SSP high‐resolution Kits according to the manufacturer's suggestions. The frequency of the T allele at the −330 IL2 polymorphism was significantly higher in patients with MS than controls (OR: 2.45, 95 CI: 1.9–3, P = 4 × 10−14). Moreover, the T/T genotype was more frequent in patients than in controls (51% vs. 30%). This study indicated that the −330 T IL2 allele and the T/T genotype were related to increased plasma concentration of IL2 and a higher risk of developing MS among Iranian patients. Carrying both the −330 T IL2 and the HLA, DRB1* 1501 alleles showed the most susceptibly effect to MS. Our data demonstrated −330 T IL2 allele provided major susceptibility to MS and HLA‐DRB1* 1501 allele had an additive effect. In addition, it seems that studies with larger sample size are required to bring about more authentic results. Our findings suggest that IL2 gene polymorphisms influence the susceptibility to MS in Iranian patients.
DMP and GMR based teaching by demonstration for a KUKA LBR robot

This paper investigates the problem of Teaching by Demonstration (TbD) on a KUKA lightweight robot (LBR). Motions are recorded by a human operator, and then the data is used to model a nonlinear system, i.e., the dynamic motor primitive (DMP). In order to learn from multiple demonstrations, Gaussian Mixture Models (GMM) are employed rather than using conventional Gaussian process for the evaluation of the non-linear term of the DMP. Then the Gaussian mixture regression (GMR) algorithm is applied to generate a synthesized trajectory with smaller position errors in 3D space. The proposed approach is tested and demonstrated by performing two tasks with KUKA iiwa robot.
Protection against murine disseminated candidiasis mediated by a Candida albicans-specific T-cell line

The role of T lymphocytes in disseminated candidiasis in a mouse model of irradiation-induced immunosuppression was investigated. A continuously cultured Candida albicans-specific T-cell line mediated protection of sublethally irradiated mice from disseminated candidiasis as measured by both the fungal load in the kidneys and mortality. These results are the first to demonstrate directly a role for antigen-specific T cells in the protective immune response against murine disseminated candidiasis.
Cascaded simulated annealing/perturb and observe method for MPPT in PV systems

In this paper, we show that by suitably integrating simulated annealing (SA) with perturb and observe (P&O) algorithm, the performance of maximum power point tracking (MPPT) in a photovoltaic (PV) system under non uniform insolation conditions can be substantially improved. The appealing advantages of SA and P&O method are thus combined to yield a robust MPPT which always guarantees global convergence independent of either PV configuration or shading pattern. Simulation and experimental results are presented to validate the new scheme.
Modeling of information system correlated events time dependencies

Many works have been carried out in events correlation and intrusion detection. Although they use different methods or correlation approaches, they all highlight the importance of time in their modeling process. In this paper, we suggest a new time consideration for our previous works Bayesian behavior intrusion detection. Using a probabilistic approach, we introduce time consideration in the profile of user/system interactions. This enriched profile will integrate all time dependencies among correlated alerts. Some works provide attack graphs scenarios where time dependencies are explicitly defined. In our case, they are learnt during a training period.
An exploratory search strategy for data routing in flying ad hoc networks

This paper investigates the problem of data routing in flying ad hoc networks (FANETs) composed of multiple flying nodes, i.e., unmanned aerial vehicles (UAVs), supported by communication platforms. The objective is to exploit the mobility of UAVs in order to establish routing paths and transfer a message between two ground nodes at minimum transmission time. Assuming that the UAVs are already deployed to execute a given primary task, the cooperation of the UAVs in the data transfer process, considered as a secondary task, becomes subject to three conditions. First, the energy consumed by each UAV has to respect the allocated budget for the data routing process. Second, the UAVs cannot move out of the boundaries of a tolerated and well-defined region in order to maintain the operation of the primary task. Finally, the UAVs need to reduce their traveled distances in order to reduce the delay of the transfer. A mixed non-linear integer programming problem determining the routing path and the new locations of the UAVs participating in the data transfer process is formulated. Due to its nonconvexity, we proceed with a deterministic exploratory strategy inspired from the Hooke-Jeeves algorithm to meet the problem goals. Selected numerical results investigate the performance of the proposed solution for different scenarios and compare some of them to those of a metaheuristic approach based on swarm intelligence.
Lateralization and detection of low‐frequency binaural stimuli: Effects of distribution of internal delay

The position‐variable model [R. M. Stern, Jr., and H. S. Colburn, J. Acoust. Soc. Am. 64, 127–140 (1978)], which had been developed to describe binaural phenomena at 500 Hz, is extended to describe and predict binaural lateralization and detection phenomena at frequencies of 250–1200 Hz. The major modification made to the model is the use of a frequency‐dependent form of the function that describes the relative number of binaural coincidence detectors in the model as a function of their internal delay. This function is fitted to describe the lateralization of pure tones with a fixed ITD over a range of frequencies, and the ratio of N0Sπ to NπS0 binaural detection thresholds. The extended model describes without further modification the general dependence of the lateral position of pure tones on ITD and frequency, the lateralization of amplitude‐modulated tones, and the ‘‘dominant region’’ lateralization phenomenon.
Ziprasidone in Acute Bipolar Mania: A 21-Day Randomized, Double-Blind, Placebo-Controlled Replication Trial

Background: In an earlier 21-day, placebo-controlled trial, ziprasidone was efficacious in improving symptoms of mania and was well tolerated. To confirm these results, a similarly designed 21-day trial was conducted. Methods: Inpatients with bipolar I disorder, manic or mixed, were randomized to ziprasidone (40 to 80 mg BID) or placebo. Efficacy rating scales were derived from the Schedule for Affective Disorders and Schizophrenia-Change Bipolar Scale (SADS-CB). SADS-CB-derived Mania Rating Scale (MRS) total score was the primary efficacy parameter. Secondary SADS-CB-derived efficacy parameters included Manic Syndrome and Behavior and Ideation Subscales, Hamilton Depression Rating Scale (HAM-D), and the Montgomery Asberg Depression Rating Scale (MADRS). The Clinical Global Impression-Severity Scale (CGI-S), the Global Assessment of Functioning (GAF), and the Positive and Negative Syndrome Scale (PANSS) were also assessed. Results: Sixty-five placebo and 137 ziprasidone patients were evaluable for efficacy. Baseline-to-endpoint mean changes in MRS scores were −11.1 for ziprasidone and −5.6 for placebo (all patients, last observation carried forward [LOCF]; P < 0.01). Ziprasidone produced significantly greater improvements in Manic Syndrome (P ≤ 0.01) and Behavior and Ideation Subscales (P ≤ 0.001), CGI-S score, (P ≤ 0.001), PANSS Total (P ≤ 0.01) and Positive Subscale (P ≤ 0.001) scores, and GAF (P ≤ 0.001). With ziprasidone, significant improvements were observed from Day 2 onward for MRS and CGI-S at all time points except Day 4 for MRS. Treatment-related discontinuations due to adverse events were 5.8% for ziprasidone and 1.5% for placebo (P = 0.20). Conclusions: Ziprasidone was well tolerated, rapidly efficacious, and superior to placebo in improving symptoms and global illness severity in these inpatients with acute bipolar mania, both manic and mixed episodes.
Plasma Selenium Over Time and Cognitive Decline in the Elderly

Background: Because brain oxidative stress is a cause of cognitive impairment, selenium, which is an antioxidant, may protect against cognitive decline. The aim of the study was to examine whether declining selenium levels over time are associated with cognitive decline in a cohort of community-dwelling French elderly. Methods: During 1991–1993, 1389 subjects (age 60–71 years) were recruited into a 9-year longitudinal study with 6 waves of follow-up. Cognitive functions were evaluated by neuropsychologic tests. To take into account the entire set of cognitive measurements and the within-subject correlations between measures, we analyzed mixed linear and logistic models to study associations between selenium change and cognitive decline. Results: After controlling for potential confounders, cognitive decline was associated with decreases of plasma selenium over time. Among subjects who had a decrease in their plasma selenium levels, the greater the decrease in plasma selenium, the higher the probability of cognitive decline. Among subjects who had an increase in their plasma selenium levels, cognitive decline was greater in subjects with the smallest selenium increase. There was no association between short-term (2-year) selenium change and cognitive changes. Conclusion: Selenium status decreases with age and may contribute to declines in neuropsychologic functions among aging people.
Wireless Sensor Node with Passive RFID for Indoor Monitoring System

This paper discusses the development of an indoor monitoring system based on passive radio frequency identification (RFID) system and Raspberry Pi 3. There are two algorithms designed for this project where the first is to link the RFID module to the Raspberry Pi 3, and the other one is to send the data obtained to a database over wireless network via UDOO Quad as a secondary router. The result is then displayed on a localhost generated using XAMPP. The objective of this project is to realize a monitoring system that incorporates different systems such as Raspberry Pi 3, UDOO Quad, and also RFID module by designing algorithms using Python and C programming language. Plus, the performance of the system is also analyzed using different type of antennas such as the Raspberry Pi 3 Antenna, monopole antenna, and a Yagi Uda antenna in terms of power received versus distance in both line of sight position and non-line of sight position. Finally, antenna that produces the best performance for line-of-sight (LOS) propagation is Yagi Uda antenna while monopole antenna is better when it comes to non-line-of-sight (NLOS) propagation.
FPGA Implementation of Human Detection by HOG Features with AdaBoost

We implement external memory-free deep pipelined FPGA implementation including HOG feature extraction and AdaBoost classification. To construct our design by compact FPGA, we introduce some simplifications of the algorithm and aggressive use of stream oriented architectures. We present comparison results between our simplified fixed-point scheme and an original floating-point scheme in terms of quality of results, and the results suggest the negative impact of the simplified scheme for hardware implementation is limited. We empirically show that, our system is able to detect human from 640 × 480 VGA images at up to 112 FPS on a Xilinx Virtex-5 XC5VLX50 FPGA. key words: histogram of oriented gradients, AdaBoost, human detection, FPGA
Paediatric pancreatitis

Purpose of review The purpose of this review is to describe recent developments in paediatric pancreatitis and to discuss causes and current management. Recent findings Although recent studies have estimated the annual incidence of paediatric acute pancreatitis approaching that of adults, there are no established guidelines about its diagnosis and treatment in children. Genetic and structural/congenital abnormalities are emerging as the primary risk factors for paediatric acute recurrent and chronic pancreatitis. Specifically, chronic pancreatitis is associated with a significant socioeconomic burden in children. Both medical and surgical therapies are proposed for paediatric chronic pancreatitis, but there is little evidence that they are beneficial. Summary Acute recurrent and chronic pancreatitis create significant health issues in the paediatric population. Medical and surgical therapies exist to potentially treat these conditions, but the paediatric data are limited and the cohorts are small. A multidisciplinary and multicentre approach is necessary to better determine pancreatic disease processes and treatment options in children.
Electroless plating, a simple route for Nickel deposition for solar cells

A simple method for metal deposition on solar cells surface has been developed. Nickel is used as contact barrier to copper and permits low contact resistance on n+ silicon Nickel chloride is used to deposit contacts on front surface. The pattern is obtained by laser ablation on silicon nitride. Laser treatment permits also to get a selective emitter n++ of 30Ω/ □ sheet resistance on which Nickel is plated. Different temperatures are used to cure Nickel deposited on Silicon and contact resistance is measured. NiSi phase is investigated using DRX patterns and FTIR spectra. SIMS analysis evidenced the contact barrier of thid phase to copper diffusion. The originality of this work is relative to the solution and the route used.
Practical and molecular evaluation of colorectal cancer: new roles for the pathologist in the era of targeted therapy.

CONTEXT Colorectal cancer is the third most common cancer and the fourth most common cause of cancer death worldwide. Patient cases are discussed in multidisciplinary meetings to decide on the best management on an individual basis. Until recently, the main task of the pathologist in such teams was to provide clinically useful reports comprising staging of colorectal cancer in surgical specimens. The advent of total mesorectal excision and the application of anti-epidermal growth factor receptor (EGFR)-targeted therapies for selected patients with metastasized colorectal cancer have changed the role of the pathologist. OBJECTIVES To present the traditional role of the pathologist in the multidisciplinary team treating patients with colorectal cancer, to address the technique of total mesorectal excision and its implications for the evaluation of surgical specimens, to offer background information on the various EGFR-targeted therapies, and to review the currently investigated tissue biomarkers assumed to be predictive for efficacy of such therapies, with a focus on the role of the pathologist in determining the status of such biomarkers in individual tumors. DATA SOURCES This article is based on selected articles pertaining to biopsy evaluation of colorectal carcinoma and reviews of EGFR-targeted therapies for this cancer. All references are accessible via the PubMed database (US National Library of Medicine and the National Institutes of Health). CONCLUSIONS Pathologists play an increasingly important role in the diagnosis and management of colorectal cancer because of the advent of new surgical techniques and of targeted therapies. It is expected that this role will increase further in the near future.
A Completely Configurable Digital System for Simultaneous Measurement of Hysteresis Loops and Barkhausen Noise

This paper describes a new, accurate, completely digital, configurable and computer-aided system for the simultaneous measurement of magnetic hysteresis loops and Barkhausen noise in a wide range of frequencies (from 0.01 to 80 Hz). The importance of the correct choice of the data acquisition card to have enough resolution in both hysteresis loop and magnetic Barkhausen noise measurements is emphasized. Both the magnetic induction signal to construct the magnetic hysteresis loop and the Barkhausen noise are computed by digital processing (numerical integration and digital filtering, respectively) of the induced electromotive force signal. Some results of hysteresis loops and RMS envelopes of the magnetic Barkhausen noise signal are presented to show the capability of the system to work at different excitation frequencies without changing any hardware.
Will my ablation work? Check the P-wave.

This editorial refers to ‘Value of P-wave signal averaging to predict atrial fibrillation recurrences after pulmonary vein isolation’ by C. Blanche et al. , on page 198–204 Despite recent advances in both our understanding and therapy of atrial fibrillation (AF), this arrhythmia continues to challenge our ability to effectively and permanently restore and maintain sinus rhythm. Antiarrhythmic drug therapy is ineffective for many patients and, despite early enthusiasm, radiofrequency ablation is characterized by recurrence of the arrhythmia and the need for repeat procedures.1 It is appreciated, however, that some patients with AF do better than others after ablation. Clinical predictors of benefit include age, persistence of AF, and markers of structural change such as left atrial enlargement.1 It is recognized that in patients in whom these factors are adverse, modification of the left atrial substrate might be important in addition to isolation of the pulmonary veins and that substrate modification can improve outcome. Nevertheless, any practising electrophysiologist will recall instances where patients with an apparently good predicted outcome will respond poorly to AF ablation and others where outcome is much better than one would expect. Marrouche and coworkers2 have recently identified that the response to AF ablation may have more to do with the underlying atrial substrate, as judged by the magnetic resonance imaging (MRI)-derived fibrosis score, than clinical factors, such as persistence of AF. Patients with a high fibrosis score of >35% did not respond to ablation although some presented with lone and/or paroxysmal AF. Conversely all patients with a low fibrosis score (<5%) responded to catheter ablation regardless …
A Beginning Teacher Survey Study: A Theoretical Perspective.

This paper describes the Beginning Teacher Survey Study's rationale, design, theoretical framework, research questions, and findings. The study was designed to: develop a survey that would gather information from beginning teachers about their preservice and induction learning experiences; develop theoretically and empirically based constructs of teacher preparation, induction, knowledge, beliefs, and practice; and determine relationships among three sets of variables (teacher preparation, teaching knowledge and practice, and student learning). The survey was administered in Tennessee and Connecticut to first, second, and third year teachers of grades 3-8 who taught reading and/or mathematics. This paper reports findings from Tennessee only, focusing on mathematics instruction. By linking the database of survey responses from Tennessee beginning teachers to measures of student academic growth, researchers were able to examine relationships between teacher preparation/practice variables and measures of teacher effectiveness based on student learning. Preliminary findings indicate that beginning teachers were more successful in teaching mathematics if they: believed that teachers can have an impact on student learning; helped students make sense out of mathematics; learned how to do this in their teacher preparation program; and received continued support in their first teaching years from an experienced mentor. Appended is the theoretical model. (Contains 36 references.) (SM) Reproductions supplied by EDRS are the best that can be made from the original document.
Facial emotion recognition

The interest on emotional computing has been increasing as many applications were in demand by multiple markets. This paper mainly focuses on different learning methods, and has implemented several methods: Support Vector Machine (SVM) and Deep Boltzmann Machine (DBM) for facial emotion recognition. The training and testing data sets of facial emotion prediction are from FERA 2015, and geometric features and appearance features are combined together. Different prediction systems are developed and the prediction results are compared. This paper aims to design an suitable system for facial emotion recognition.