Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy Predictive DTC of Induction Machines With Reduced Torque Ripple and High-Performance Operation

This paper proposes an enhanced strategy for direct torque control (DTC) combining artificial intelligent (AI) and predictive algorithms. The advantages of this merge are in the solution of closed-loop controlled induction machine (IM) problems. Predictive DTC (P-DTC) methods reduce the high torque ripple and improve the performance at both starting condition and low mechanical speed operation. However, P-DTC depends on the IM parameter's knowledge. The approach here is the introduction of fuzzy logic control with dynamic rules based on the P-DTC law's to reduce the parameter dependency and improve the performance of P-DPC. Additional comparative performance study of eight modulation strategies under the proposed fuzzy-predictive DTC (FP-DTC) is conducted. It results that the space-vector modulation (SVM) is the most suitable scheme with the best combination of criteria such stator current total harmonic distortion, switching losses and dynamic behavior. The parameter dependency of the FP-DTC is tested by a sensitivity analysis which corroborates the robustness of the proposed control. For verification purposes, simulations of the DTC, P-DTC, and FP-DTC were conducted and compared. Experimental results for the three controllers and two modulations (pulse width modulation and SVM) confirm the expected performance of the proposed control algorithm and modulation assessment study.
Soluble ST2 is not independently associated with androgen and estrogen status in healthy males and females

Abstract Background: Soluble ST2 (sST2) plasma concentrations are significantly higher in healthy men than in healthy women. The reason for the sex-specific difference of sST2 plasma concentrations is not established. The aim of this study was to evaluate the association of sST2 with sex-hormones in healthy males and females separately. Methods: We recruited 528 consecutive blood donors and measured plasma concentrations of sST2 and several sex-hormones (i.e., total testosterone, estradiol, sex hormone-binding globulin, follicle-stimulating hormone, and luteinizing hormone). Of the 528 blood donors, 338 were male and 190 were female. For data analysis, we further divided the group of females into the subgroups of pre- and postmenopausal women using the age of 50 years as a proxy for menopause. Results: In non-parametric Spearman's correlation analyses, we found a weak association between sST2 and total testosterone (rs+0.126, p=0.021) and also between sST2 and estradiol (rs+0.117, p=0.032) in males. In females <50 years of age (n=158) and ≥50 years of age (n=32), respectively, we did not detect any significant association between sST2 and sex-hormones. As a result of multiple linear regression analyses (calculated with log sST2 as dependent variable and log of age and all sex-hormones as explanatory variables), there was no independent association between sST2 and any of the sex-hormones neither in males nor in females. Conclusions: In the present study cohort we did not find an independent association of sST2 with sex-hormones in healthy males and females. Therefore, the reason for the sex-specific difference of sST2 plasma concentrations still remains unclear.
SUSCEPTIBILIDADE AMBIENTAL A SALINIZAÇÃO DAS TERRAS EM MUNICÍPIOS DA MICRORREGIÃO DE PETROLINA - PERNAMBUCO - BRASIL

A salinização é o processo de acumulo de sais solúveis nos solos proporcionados pelas ações humanas no tocante das práticas de uso dos solos, assim como, provocados por processos naturais. O problema provoca redução da capacidade de produção agrícola de centenas de hectares de terras, principalmente nas regiões semiáridas e áridas, incluído parte das terras localizadas no nordeste brasileiro. Neste contexto, o presente artigo tem como objetivo apresentar o mapeamento da susceptibilidade a salinização dos solos em cinco municípios da microrregião de Petrolina, semiárido do estado de Pernambuco. Para realização do estudo foram necessárias análises dos papeis dos atributos relevo, práticas de usos e ocupação das terras e os condicionantes dos solos referentes às susceptibilidades de salinização dos solos. Após as análises individuais os atributos foram cruzados com apoio das ferramentas geotecnológicas para confecção da carta de susceptibilidade a salinização. Os resultados apontam que os municípios estudados apresentam, em sua grande maioria, de média a alta susceptibilidade a salinização, constatação que requer cuidados especiais e políticas públicas para implantação de manejo adequado a realidade local.
Complete Genome Sequence of a Putative Densovirus of the Asian Citrus Psyllid, Diaphorina citri

ABSTRACT Here, we report the complete genome sequence of a putative densovirus of the Asian citrus psyllid, Diaphorina citri. Diaphorina citri densovirus (DcDNV) was originally identified through metagenomics, and here, we obtained the complete nucleotide sequence using PCR-based approaches. Phylogenetic analysis places DcDNV between viruses of the Ambidensovirus and Iteradensovirus genera.
Transducible heat shock protein 20 (HSP20) phosphopeptide alters cytoskeletal dynamics

Activation of cyclic nucleotide dependent signaling pathways leads to relaxation of smooth muscle, alterations in the cytoskeleton of cultured cells, and increases in the phosphorylation of HSP20. To determine the effects of phosphorylated HSP20 on the actin cytoskeleton, phosphopeptide analogs of HSP20 were synthesized. These peptides contained 1) the amino acid sequence surrounding the phosphorylation site of HSP20, 2) a phosphoserine, and 3) a protein transduction domain. Treatment of Swiss 3T3 cells with phosphopeptide analogs of HSP20 led to loss of actin stress fibers and focal adhesion complexes as demonstrated by immunocytochemistry, interference reflection microscopy, and biochemical quantitation of globular‐actin. Treatment with phosphopeptide analogs of HSP20 also led to dephosphorylation of the actin depolymerizing protein cofilin. Pull‐down assays demonstrated that 14‐3‐3 proteins associated with phosphopeptide analogs of HSP20 (but not peptide analogs in which the serine was not phosphorylated). The binding of 14‐3‐3 protein to phosphopeptide analogs of HSP20 prevented the association of cofilin with 14‐3‐3. These data suggest that HSP20 may modulate actin cytoskeletal dynamics by competing with the actin depolymerizing protein cofilin for binding to the scaffolding protein 14‐3‐3. Interestingly, the entire protein was not needed for this effect, suggesting that the association is modulated by phosphopeptide motifs of HSP20. These data also suggest the possibility that cyclic nucleotide dependent relaxation of smooth muscle may be mediated by a thin filament (actin) regulatory process. Finally, these data suggest that protein transduction can be used as a tool to elucidate the specific function of peptide motifs of proteins.
Ubiquitin-conjugating enzyme Ubc13 controls breast cancer metastasis through a TAK1-p38 MAP kinase cascade

Significance We demonstrate that ubiquitin-conjugating enzyme Ubc13, whose expression is elevated in primary and metastatic breast cancer (BCa), promotes metastatic spread of BCa cells by controlling their lung-colonizing ability while having little effect on primary tumor growth. Mechanistically, Ubc13 is required for TGFβ-induced non-SMAD signaling via TAK1 and p38, a pathway that is first activated in the primary tumor. An Ubc13- and p38-dependent metastatic gene signature was identified, explaining how p38 may control metastasis and providing a measure for monitoring the effectiveness of pharmacologic p38 inhibition, which inhibits the growth of established metastatic lesions. We suggest that p38 inhibition should be considered as a potential treatment for metastatic BCa. Metastatic spread is the leading cause of cancer mortality. Breast cancer (BCa) metastatic recurrence can happen years after removal of the primary tumor. Here we show that Ubc13, an E2 enzyme that catalyzes K63-linked protein polyubiquitination, is largely dispensable for primary mammary tumor growth but is required for metastatic spread and lung colonization by BCa cells. Loss of Ubc13 inhibited BCa growth and survival only at metastatic sites. Ubc13 was dispensable for transforming growth factor β (TGFβ)-induced SMAD activation but was required for activation of non-SMAD signaling via TGFβ-activating kinase 1 (TAK1) and p38, whose activity controls expression of numerous metastasis promoting genes. p38 activation restored metastatic activity to Ubc13-deficient cells, and its pharmacological inhibition attenuated BCa metastasis in mice, suggesting it is a therapeutic option for metastatic BCa.
A Fuzzy Logic based Recommender System for E-Learning System with Multi-Agent Framework

In this paper a multi agent based e-learning framework is proposed which is able to provide a personalized experience to the learner by recommending him study material according to his requirements, goals and calibre. A fuzzy logic based recommender agent framework is used to give further suggestions to learner to increase his/her satisfaction and provide enhanced and personalized learning experience. We also used the Matlab to simulate our recommender agent.
DIRECT DETECTION OF BACTERIAL PATHOGENS IN BRAIN ABSCESSES BY POLYMERASE CHAIN REACTION AMPLIFICATION AND SEQUENCING OF PARTIAL 16 S RIBOSOMAL DEOXYRIBONUCLEIC ACID FRAGMENTS

Accepted, February 17, 2004. OBJECTIVE: To evaluate the feasibility of detecting bacterial pathogens directly from the clinical brain abscess specimens by polymerase chain reaction (PCR) amplification and sequencing of bacterial 16S ribosomal deoxyribonucleic acid (rDNA). METHODS: A total of 14 specimens were tested by both culture and PCR amplification, targeting the full-length or a partial region of 16S rDNA. 16S rDNA is known to be conserved in bacteria. Sequencing of partial-length and full-length 16S rDNA was performed. The sequence data were compared with known sequences of 16S rDNA in the National Center for Biotechnology Information GenBank by using the Basic Local Alignment Search Tool (BLAST) algorithm. The species with the best match of similarity were regarded as the pathogenic species in the samples. We also developed a Streptococcus-specific multiplex PCR analysis for identifying members of the Streptococcus species, the most common pathogen of brain abscesses. RESULTS: The 10 culture-positive specimens were all PCR-positive for partial 16S rDNA, but only seven were positive for full-length 16S rDNA amplification. Bacterial DNA was not detected in the remaining four specimens with a negative culture. Species identification by phenotypes from culture was in agreement with that by sequencing results of partial-length (or full-length) 16S rDNA. The Streptococcusspecific PCR analysis could detect Streptococcus species correctly in one step. CONCLUSION: Bacterial 16S rDNA sequences provide reliable clues to the identification of unknown pathogens. PCR analysis of 16S rDNA and sequencing may identify pathogens to the species level directly from brain abscesses. This approach is rapid and is useful especially in the identification of slow-growing and fastidious organisms.
Learning‐dependent changes in sleep spindles and Stage 2 sleep

It has become increasingly clear that sleep is necessary for efficient memory consolidation. Recently, it has been found that Stage 2 sleep disruption impairs procedural memory performance, and that memory performance is correlated with the duration of Stage 2 sleep; but the mechanisms involved in synaptic plasticity for procedural memory during sleep have not been identified. The present study examined the learning‐dependent changes in sleep, including Stage 2 sleep spindles. Following an intense period of simple motor procedural learning, the duration of Stage 2 sleep and spindle density increased. There were no changes observed in the duration of any other stage of sleep or in the density of rapid eye movements. These findings support the hypothesis that sleep spindles are involved in the off‐line reprocessing of simple motor procedural memory during Stage 2 sleep.
Experimental Methods for Defect Introduction Rates Determination in Multijunction Solar Cells

We present and compare different experimental methods used to determine defect introduction rates in materials constituting trijunction solar cells. Most of the experimental methods correlates together and with an analytical modeling. Defect introduction rates values in GaInP and GaAs are presented over a wide range of NIELs; this result seems intrinsic to these two materials.
Mobile station positioning using time difference of arrival and received signal strength

In this paper, a new Mobile Station Positioning (MSP) technique is proposed and its performance is evaluated. The proposed technique combines the Received Signal Strength (RSS) and the Time Difference of Arrival (TDOA) techniques. Each RSS measurement yields a circle on which the Mobile Station (MS) may lie. Meanwhile, each TDOA measurement defines a hyperbola on which the MS may reside. The proposed hybrid TDOA/RSS technique uses Taylor series expansion to solve the hyperbolas and circles specified by the distance measurements obtained by the Base Stations (BSs). The MS position is determined based on Linear Least Squares (LLS) method in an iterative fashion. Without hardware modification, the proposed technique reduces location errors compared with either technique separately. Simulation results demonstrate superior performance over both TDOA and RSS techniques.
Performance Prediction and Calibration for a Class of Multiprocessors

A model for predicting multiprocessor performance on iterative algorithms is developed. Each iteration consists of some amount of access to global data and some amount of local processing. The iterations may be synchronous or asynchronous, and the processors may or may not incur waiting time, depending on the relationship between the access time and processing time. The effect on performance of the speed of the processor, memory, and the interconnection network is studied. The model also illustrates the significant impact on performance of decomposing an algorithm into parallel processes. The model's predictions are calibrated with experimental measurements. >
Online fault diagnosis of fuel cell systems using independent MLP neural network model

In this paper, an independent neural networks is constructed for modelling and to perform fault diagnosis of a proton exchange membrane fuel cell systems which has a nonlinear behaviour. The fault detection is investigated based on the residual generation. The difference between the model and the process plant gives the modelling prediction errors which later been used in detecting faults occurring in the systems. The RBF network acts as a classifier to perform fault isolation. The faults are introduced in a simulator model of fuel cell systems developed by University of Michigan where five faults are introduced in online simulation. The simulation results show that both neural network models able to detect and isolate five faults accordingly under open-loop scheme and the results are almost similar.
The Effect of Teenage Passengers on Simulated Risky Driving Among Teenagers: A Randomized Trial

Teenage passengers might influence risky driving, particularly in certain mental states. Notably, social exclusion could increase social conformity. Two studies examined simulated intersection management among young drivers after a social exclusion activity (Cyberball). In Study 1 [112 males (mean = 17.3 years)], risky driving was significantly greater among excluded males driving with a risk-accepting vs. passive passenger; no effect of social exclusion. In Study 2 [115 females (mean = 17.1 years)], risky driving was significantly greater among excluded females driving with a risk-accepting vs. a passive passenger, and greater among those included (fair play) vs. excluded when driving with a risk-accepting passenger. Risky driving behavior among male and female teenagers may be influenced uniquely by passenger norms and social exclusion.
Performance over time on adults with simultaneous bilateral cochlear implants.

BACKGROUND Maximum performance and long-term stability of bilateral cochlear implants has become an important topic because there has been increasing numbers of recipients of bilateral cochlear implants. PURPOSE To determine the performance over time (up to 6yr) of subjects with simultaneous bilateral cochlear implants (CI+CI) on word recognition and localization. RESEARCH DESIGN Over-time investigation of word recognition in quiet (CNC) and sound localization in quiet (Everyday Sounds Localization Test). STUDY SAMPLE The subjects were 48 adults who simultaneously received their cochlear implants at the University of Iowa. RESULTS For word recognition, percent correct scores continuously improved up to 1 yr postimplantation with the most benefit occurring within the first month of implantation. In observing up to 72 mo, the averaged scores reached to the plateau of about 63% correct in CNC after 2 yr (N = 31). But, when we followed 17 subjects who have complete data set between 12 mo and 48+ months, word recognition scores were significantly different from 12 mo to 48 + months, which implies binaural advantages need more time to be developed. Localization test results suggested that the root mean square (RMS) error scores continuously improved up to 1 yr postimplantation with most benefits occurring within the first 3 mo. After 2 yr, the averaged scores reached to the plateau of about 20 degrees RMS error (N = 27). When we followed 10 subjects who have complete data set between 12 mo and 48+ months, localization scores were not improved from 12 mo to 48+ months. There were large individual differences in performance over time. CONCLUSIONS In general, substantial benefits in both word recognition and localization were found over the first 1-12 mo postimplantation for subjects who received simultaneous bilateral cochlear implants. These benefits were maintained over time up to 6yr postimplantation.
Artifacts in Amine Analysis from Anodic Oxidation of Organic Solvents upon Electrospray Ionization for Mass Spectrometry

Different phenylenediamines were used to explore anodic oxidation in solution during electrospray ionization (ESI) mass spectrometry analysis. In our experiments, a series of unknown ionic species was detected in the phenylenediamine solutions. Our results propose that reactions of phenylenediamines with species formed by anodic oxidation of typical ESI solvents during the electrospray ionization process such as formaldehyde are producing these peaks. Identification of these compounds inter alia suggests formal alkylation, a reaction not reported so far as a result of electrolytic oxidation in the prospective organic solvents.
Assessment of total body potassium in healthy Italian men

Background: Whole-body 40K counting is a valuable tool for assessing cellular changes in body composition with ageing. Aim: The objectives of this study were to assess total body potassium (TBK) and body cell mass (BCM) differences with age, and to compare TBK and BCM between individuals with a body mass index (BMI) <25 kg m−2 versus >25 kg m−2. Subjects and methods: Body composition of 840 healthy Italian men, 18–70 years of age, was measured by whole-body counting of 40K. BCM (kg) was calculated as 0.00833 × TBK (mmol). Results: Body weight did not differ among groups. TBK, TBK/height, TBK/body weight, and BCM were significantly lower for the 51–70-year-old group compared with all other groups. The 51–70-year-old group with a BMI < 25 kg m−2 had significantly lower TBK, TBK/height, and BCM than all other decades with a BMI < 25 kg m−2; whereas TBK/body weight was significantly lower than the 18–30 and 31–40-year-old groups. The 51–70-year-old group with a BMI > 25 kg m−2 had significantly lower TBK, TBK/height, TBK/body weight, and BCM than all other decades with a BMI > 25 kg m−2. Conclusion: TBK and BCM decrease significantly with ageing, which could result in decreased functional capacity in older adults.
On the Optimization of a Synaptic Learning Rule

This paper presents a new approach to neural modeling based on the idea of using an automated method to optimize the parameters of a synaptic learning rule The synaptic modi cation rule is considered as a parametric function This function has local inputs and is the same in many neurons We can use standard optimization methods to select appropriate parameters for a given type of task We also present a theoretical analysis permitting to study the generalization property of such parametric learning rules By generalization we mean the possibility for the learning rule to learn to solve new tasks Experiments were performed on three types of problems a biologically inspired circuit for conditioning in Aplysia Boolean functions linearly separable as well as non linearly separable and classi cation tasks The neural network architecture as well as the form and initial parameter values of the synaptic learning function can be designed using a priori knowledge
The role of endogenous epidermal growth factor receptor ligands in mediating corneal epithelial homeostasis.

PURPOSE To provide a comprehensive study of the biological role and therapeutic potential of six endogenous epidermal growth factor receptor (EGFR) ligands in corneal epithelial homeostasis. METHODS Kinetic analysis and dose response curves were performed by using in vitro and in vivo wound-healing assays. Biochemical assays were used to determine receptor expression and activity. Human tears were collected and quantitatively analyzed by multianalyte profiling for endogenous EGFR ligands. RESULTS Epidermal growth factor receptor ligands improved wound closure and activated EGFR, but betacellulin (BTC) was the most efficacious promoter of wound healing in vitro. In contrast, only epidermal growth factor (EGF) promoted wound healing in vivo. Human tears from 25 healthy individuals showed EGFR ligands at these average concentrations: EGF at 2053 ± 312.4 pg/mL, BTC at 207 ± 39.4 pg/mL, heparin-binding EGF at 44 ± 5.8 pg/mL, amphiregulin at 509 ± 28.8 pg/mL, transforming growth factor-α at 84 ± 19 pg/mL, and epiregulin at 52 ± 15 pg/mL. CONCLUSIONS Under unwounded conditions, only EGF was present at concentrations near the ligand's Kd for the receptor, indicating it is the primary mediator of corneal epithelial homeostasis. Other ligands were present but at concentrations 11- to 7500-fold less their Kd, preventing significant ligand binding. Further, the high levels of EGF and its predicted binding preclude receptor occupancy by exogenous ligand and can explain the discrepancy between the in vitro and in vivo data. Therefore, therapeutic use of EGFR ligands may be unpredictable and impractical.
Discriminative feature-space transforms using deep neural networks

We present a deep neural network (DNN) architecture which learns time-dependent offsets to acoustic feature vectors according to a discriminative objective function such as maximum mutual information (MMI) between the reference words and the transformed acoustic observation sequence. A key ingredient in this technique is a greedy layer-wise pretraining of the network based on minimum squared error between the DNN outputs and the offsets provided by a linear feature-space MMI (FMMI) transform. Next, the weights of the pretrained network are updated with stochastic gradient ascent by backpropagating the MMI gradient through the DNN layers. Experiments on a 50 hour English broadcast news transcription task show a 4% relative improvement using a 6-layer DNN transform over a state-of-the-art speaker-adapted system with FMMI and modelspace discriminative training.
Asymptotic redundancy and prolixity

Gallager (1978) considered the worst-case redundancy of Huffman codes as the maximum probability tends to zero, showing that the limiting value is 1 − log2 e + log2 log2 e ≈ 0.08607. We ask similar questions for restricted classes of codes, such as ones corresponding to binary search trees.