Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Design Method for High-Power High-Efficiency Switched-Capacitor DC–DC Converters

Switched-capacitor technology is widely used in low power dc-dc converter, especially in power management of the integrated circuit. These circuits have a limitation: high pulse currents will occur at the switching transients, which will reduce the efficiency and cause electromagnetic interference problems. This makes it difficult to use this technology in high-power-level conversion. This paper presents a new design method for dc-dc converter with switched-capacitorldquo technology. The new method can reduce the high pulse current which usually causes serious problem in traditional converters. Therefore, the power level of this new designed converter can be extended to 1 kW or even higher. A 1-kW 42/14-V switched-capacitor converter was designed for 42-V automotive system. The proposed converter has no requirement for magnetic components and can achieve a peak efficiency of 98% and 96 % at full load. The main circuit of the dc-dc converter is analyzed and its control scheme is presented in the paper. The experimental results verified the analysis and demonstrate the advantages.
Activity Recognition on Smartphones via Sensor-Fusion and KDA-Based SVMs

Although human activity recognition (HAR) has been studied extensively in the past decade, HAR on smartphones is a relatively new area. Smartphones are equipped with a variety of sensors. Fusing the data of these sensors could enable applications to recognize a large number of activities. Realizing this goal is challenging, however. Firstly, these devices are low on resources, which limits the number of sensors that can be utilized. Secondly, to achieve optimum performance efficient feature extraction, feature selection and classification methods are required. This work implements a smartphone-based HAR scheme in accordance with these requirements. Time domain features are extracted from only three smartphone sensors, and a nonlinear discriminatory approach is employed to recognize 15 activities with a high accuracy. This approach not only selects the most relevant features from each sensor for each activity but it also takes into account the differences resulting from carrying a phone at different positions. Evaluations are performed in both offline and online settings. Our comparison results show that the proposed system outperforms some previous mobile phone-based HAR systems.
Protein Kinase A phosphorylates NCoR to enhance its nuclear translocation and repressive function in human prostate cancer cells

Protein Kinase A (PKA) phosphorylates diverse protein substrates to modulate their function. In this study, we found that PKA specifically phosphorylates the RD1 (Repression Domain 1) domain of nuclear receptor corepressor (NCoR). We demonstrated that the Serine‐70 of NCoR is identified the critical amino acid for PKA‐dependent NCoR phosphorylation. Importantly, we found that PKA‐dependent phosphorylation enhances the nuclear translocation of NCoR. More importantly, the activation of PKA enhanced the repressive activity of NCoR in a reporter assay and potentiated the antagonist activity in the Androgen Receptor (AR)‐mediated transcription. Taken together, these results uncover a regulatory mechanism by which PKA positively modulates NCoR function in transcriptional regulation in prostate cancer. J. Cell. Physiol. 228: 1159–1165, 2013. © 2012 Wiley Periodicals, Inc.
Dose effect in child psychotherapy: outcomes associated with negligible treatment.

OBJECTIVE To compare the outcomes of children who received negligible amounts of outpatient treatment to children receiving more treatment. METHOD A random regression longitudinal model was used to analyze outcomes of children (aged 5-17 years) from the Fort Bragg Evaluation Project. RESULTS In examining several outcomes, the results show no statistically significant dose effect. CONCLUSIONS Children receiving substantial amounts of treatment showed no better mental health outcomes than those receiving negligible amounts of treatment. The results do not support the existence of a dose effect consistent enough to guide clinicians, administrators, or policymakers.
HDAC4 stabilizes SIRT1 via sumoylation SIRT1 to delay cellular senescence

The nicotinamide adenine dinucleotide‐dependent protein deacetylase silent information regulator 2 (Sir2) regulates cellular lifespan in several organisms. Histone deacetylase 4 (HDAC4) belongs to the class IIa group of HDACs; this class of HDACs is composed of proteins that are important regulators of gene expression that control pleiotropic cellular functions. However, the role of HDAC4 in cellular senescence is still unknown. This study shows that the expression patterns of HDAC4 and Sirtuin 1 (SIRT1; the mammalian homolog of Sir2) are positively correlated during cellular senescence. Moreover, the overexpression of HDAC4 delays senescence, whereas the knockdown of HDAC4 leads to premature senescence in human fibroblasts. Furthermore, it is demonstrated that HDAC4 increases endogenous SIRT1 expression by enhancing its sumoylation modification levels, thereby stabilizing its protein levels. This study, therefore, provides a new molecular mechanism for the regulation of cellular senescence.
Soluble CD14 at 2 yr of age: Gender‐related effects of tobacco smoke exposure, recurrent infections and atopic diseases

The endotoxin receptor soluble CD14 (sCD14) has been implicated in the ‘hygiene hypothesis’ suggesting reduced allergic sensitization with bacterial stimulation. However, the relationship between early life sCD14 and allergic diseases is conflicting. We aimed to investigate whether possible risk factors for allergic diseases were associated with sCD14 levels at 2 yr of age. In the nested case–control study of the birth cohort studies ‘Environment and Childhood Asthma study in Oslo’ 411 children selected with recurrent bronchial obstruction (rBO) (n = 241) and no bronchial obstruction (n = 170) by 2 yr were investigated with skin prick test and structured parental interview at age 2 yr. Exposure to tobacco smoke, pets and infections was recorded semi‐annually by questionnaires (0–2 yr). The sCD14 was analysed from frozen, stored serum by ELISA technique. Regression analyses were performed in all subjects with complete data (n = 406, 180 girls), and in girls and in boys separately. Mean sCD14 (ng/ml) was significantly higher among girls 2035 (1973–2096) vs. 1947 (1890–2004) (boys). The sCD14 was significantly reduced among girls exposed to antenatal maternal smoking and with parental asthma, after adjusting for age, parental rhino‐conjunctivitis, pet keeping and childhood infections. Recurrent otitis media (OM) increased and common colds significantly decreased sCD14 levels in girls. Boys with atopic dermatitis and rBO had reduced sCD14. Pet exposure was not significantly associated with sCD14. We report novel gender‐related effects of sCD14 in early life and suggest that gender, tobacco smoke exposure, age and middle ear disease in particular should be accounted for when assessing the role of sCD14 in childhood allergic diseases.
Dolphin : Runtime Optimization for Distributed Machine Learning

Large-scale machine learning (ML) systems are becoming widely used. Typically, these ML systems run on fixed resources, but it is difficult to find their optimal configurations (e.g., how many nodes to use, how to distribute data) since they depend on multiple factors such as hardware environments, ML algorithms, input datasets, etc. Furthermore, optimal configurations often can change over time due to fluctuating cluster resources and changing ML algorithm patterns. In this paper, we present Dolphin, an elastic machine learning framework that addresses the configuration problem at runtime. Dolphin solves a cost-based optimization problem to find an optimal configuration and reconfigures the system dynamically at runtime. Dolphin introduces a new distributed memory abstraction to change resource and data configurations based on the optimizer plan transparently and efficiently.
Bio Inspired Algorithms in Power System Operation: A Review

A literature review on applications of biologically inspired algorithms such as Differential evolution (DE), Invasive weed optimization (IWO), Cuckoo search algorithm (CSA), Firefly algorithm (FA) and Krill herd algorithm (KHA) has been presented. Economic dispatch (ED) is one of the key optimization problems in operation of power system. Aim of the ED problem is optimal allocation of power demand to available generators without violating constraints. Fuel cost of generator is non-smooth due to valve point loading and prohibited operating zones. Several conventional and biologically inspired algorithms in the past three decades have been suggested to solve the ED problem. Recently, hybrid algorithms with conventional and biologically inspired algorithms are proposed to solve the ED problem. It has been reported in several articles that quality of solution of the biologically inspired algorithms depends on control parameters. These algorithms take more computational time to get the solution. Research articles from various journals are referred and a short summary is provided. Also, the developments in algorithms and control parameters are provided.
A Novel Mutation in the Endothelin B Receptor Gene in a Moroccan Family with Shah-Waardenburg Syndrome

Waardenburg syndrome (WS) is a neurocristopathy disorder combining sensorineural deafness and pigmentary abnormalities. The presence of additional signs defines the 4 subtypes. WS type IV, also called Shah-Waardenburg syndrome (SWS), is characterized by the association with congenital aganglionic megacolon (Hirschsprung disease). To date, 3 causative genes have been related to this congenital disorder. Mutations in the EDNRB and EDN3 genes are responsible for the autosomal recessive form of SWS, whereas SOX10 mutations are inherited in an autosomal dominant manner. We report here the case of a 3-month-old Morrocan girl with WS type IV, born to consanguineous parents. The patient had 3 cousins who died in infancy with the same symptoms. Molecular analysis by Sanger sequencing revealed the presence of a novel homozygous missense mutation c.1133A>G (p.Asn378Ser) in the EDNRB gene. The proband's parents as well as the parents of the deceased cousins are heterozygous carriers of this likely pathogenic mutation. This molecular diagnosis allows us to provide genetic counseling to the family and eventually propose prenatal diagnosis to prevent recurrence of the disease in subsequent pregnancies.
Effect of Saffron aqua Extract on Angiogenesis in Chick Chorioalantoic Membrane

Article history: Received: 4 Aug 2012 Accepted: 12 Dec 2012 Available online: 5 May 2013 ZJRMS 2014; 16(3): 55-58 Background: Studies confirmed anticancer properties of saffron extract. Angiogenesis, formation of new blood vessels which is necessary in many physiological stages and pathological events such as tumor growth. So it would be an effective strategy to inhibit angiogenesis to treat many cancers and metastasis. In this experimental study, effects of saffron on angiogenesis in chick chorioalantoic membrane (CAM) were investigated. Materials and Methods: Fifity ross fertilized eggs divided in 5 groups, including: control, sham exposed, experimental group 1, 2 and 3. In second day of incubation window was opened on eggs. In day 8 gelatin sponges contain gelatin and albumin was put on chorioalantoic membrane and was soaked with Saffron aqua extract in concentration 100, 400 and 800 μg/ml. In 12th day all cases were photographed by photo stereomicroscope. Numbers and lengths of vessels around the sponges were measured by Image J software. Data were analyzed with SPSS-16 in significant level p<0.05. Results: According to data analysis, changes had no correlation on the average length of blood vessels in the first experimental group (41.5±5.5 mm), compared with the control group, (44.5±2.4 mm). While in the second and third experimental group (40.2±2.1 mm) and (38.4±3.8 mm) these changes were significant (p=0.001). On the other hand, the average number of blood vessels in the first experimental group (22.07±5.2) in compare with the control group (27.46±4.4) shows a significant reduction (p=0.02), this decline between the second (18.80±4.4) and third (15.87±3.8) experimental groups was significant at the level of p=0.001. Conclusion: Saffron extract has a dose dependent inhibitory effect on angiogenesis in chick chorioalantoic membrane. Copyright © 2014 Zahedan University of Medical Sciences. All rights reserved.
Particular subpopulations of midbrain and hypothalamic dopamine neurons express vesicular glutamate transporter 2 in the rat brain

Vesicular glutamate transporters (VGLUT1, ‐2, and ‐3) mediate the accumulation of transmitter glutamate into synaptic vesicles in glutamatergic neurons. VGLUT1 and VGLUT2 are more reliable glutamatergic neuron markers, since VGLUT3 also exists in other neuron types. To study whether the dopaminergic neuron uses glutamate as a cotransmitter, we analyzed VGLUTs expression in dopamine neurons of adult male rats by in situ hybridization and immunohistochemistry. In the ventral midbrain, in situ hybridization analysis revealed no VGLUT1 mRNA expression, a widespread but discrete pattern of VGLUT2 mRNA expression, and a highly limited expression of VGLUT3 mRNA. Reverse‐transcriptase polymerase chain reaction analysis detected full‐length VGLUT2 gene transcripts in the ventral midbrain. Using in situ hybridization combined with tyrosine hydroxylase (TH) immunostaining, only VGLUT2 signals were detectable in some TH‐labeled neurons of A10 dopamine neuron groups, with the highest incidence (20%) in the rostral linear nucleus of the ventral tegmental area. In the forebrain, VGLUT2 signals were demonstrated in half of the A11 TH‐labeled neurons in the hypothalamus. Double‐label immunostaining for VGLUT2 and vesicular monoamine transporter 2 or TH showed that double‐labeled varicosities are rarely observed in any target regions examined of A10 and A11 dopamine neuron groups. These results indicate that VGLUT2 is expressed in subsets of A10 and A11 dopamine neurons, which might release dopamine and glutamate separately from different varicosities in the majority of their single axons. J. Comp. Neurol. 498:581–592, 2006. © 2006 Wiley‐Liss, Inc.
Results from HOPS: A Multiwavelength Census of Orion Protostars

Surveys with the Spitzer and Herschel space observatories are now enabling the discovery and characterization of large samples of protostars in nearby molecular clouds, providing the observational basis for a detailed understanding of star formation in diverse environments. We are pursuing this goal with the Herschel Orion Protostar Survey (HOPS), which targets 328 Spitzer-identified protostars in the Orion molecular clouds, the largest star-forming region in the nearest 500 pc. The sample encompasses all phases of protostellar evolution and a wide range of formation environments, from dense clusters to relative isolation. With a grid of radiative transfer models, we fit the 1-870 micron spectral energy distributions (SEDs) of the protostars to estimate their envelope densities, cavity opening angles, inclinations, and total luminosities. After correcting the bolometric luminosities and temperatures of the sources for foreground extinction and inclination, we find a spread of several orders of magnitude in luminosity at all evolutionary states, a constant median luminosity over the more evolved stages, and a possible deficit of high-inclination, rapidly infalling envelopes among the Spitzer-identified sample. We have detected over 100 new sources in the Herschel images; some of them may fill this deficit. We also report results from modeling the pre- and post-outburst 1-870 micron SEDs of V2775 Ori (HOPS 223), a known FU Orionis outburster in the sample. It is the least luminous FU Ori star with a protostellar envelope.
The Diagnostic Value of Polymerase Chain Reaction for Mycobacterium tuberculosis to Distinguish Intestinal Tuberculosis from Crohn's Disease: A Meta-analysis

Background/Aim: Intestinal tuberculosis (ITB) and Crohn's disease (CD) are important differential diagnoses that can be difficult to distinguish. Polymerase chain reaction (PCR) for Mycobacterium tuberculosis (MTB) is an efficient and promising tool. This meta-analysis was performed to systematically and objectively assess the potential diagnostic accuracy and clinical value of PCR for MTB in distinguishing ITB from CD. Materials and Methods: We searched PubMed, Embase, Web of Science, Science Direct, and the Cochrane Library for eligible studies, and nine articles with 12 groups of data were identified. The included studies were subjected to quality assessment using the revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Results: The summary estimates were as follows: sensitivity 0.47 (95% CI: 0.42–0.51); specificity 0.95 (95% CI: 0.93–0.97); the positive likelihood ratio (PLR) 10.68 (95% CI: 6.98–16.35); the negative likelihood ratio (NLR) 0.49 (95% CI: 0.33–0.71); and diagnostic odds ratio (DOR) 21.92 (95% CI: 13.17–36.48). The area under the curve (AUC) was 0.9311, with a Q* value of 0.8664. Heterogeneity was found in the NLR. The heterogeneity of the studies was evaluated by meta-regression analysis and subgroup analysis. Conclusions: The current evidence suggests that PCR for MTB is a promising and highly specific diagnostic method to distinguish ITB from CD. However, physicians should also keep in mind that negative results cannot exclude ITB for its low sensitivity. Additional prospective studies are needed to further evaluate the diagnostic accuracy of PCR.
A burst loss probability model with impatient customer feature for optical burst switching networks

We consider optical delay line buffer as a solution to reduce the number of lost burst in optical burst switching, one of the promising candidates for future networks. Such network takes burst loss as an important performance criteria in the design step. Network performance, however, cannot be captured efficiently using traditional queueing models, because they often ignore the impatience of messages traveling through optical switches which is one of the popular issues in communication networks. In this paper, we develop an analytic model for this system using queueing theory and considering special impatience features. Simulation results show that (i) the developed model with impatience features can decrease burst loss probability ( ≃ 10%) compared with other approaches, and (ii) applying that model, we demonstrate that shared buffer architecture in optical burst switching network with optical buffer often achieves lower burst loss probability than dedicated buffer way in several different scenarios. Copyright © 2014 John Wiley & Sons, Ltd.
Time Expressions Recognition with Word Vectors and Neural Networks

This work re-examines the widely addressed problem of the recognition and interpretation of time expressions, and suggests an approach based on distributed representations and artiﬁcial neural networks. Artiﬁcial neural networks allow us to build highly generic models, but the large variety of hyperparameters makes it diﬃcult to determine the best conﬁguration. In this work we study the behavior of diﬀerent models by varying the number of layers, sizes and normalization techniques. We also analyze the behavior of distributed representations in the temporal domain, where we ﬁnd interesting properties regarding order and granularity. The experiments were conducted mainly for Spanish, although this does not aﬀect the approach, given its generic nature. This work aims to be a starting point towards processing temporality in texts via word vectors and neural networks, without the need of any kind of feature engineering.
Development of a short version of the motor FIM for use in long-term care settings.

OBJECTIVE To develop a short version of the motor Functional Independence Measure (FIM) for use in long-term care settings. PARTICIPANTS For model construction, the participants were 398 community-dwelling persons with disability (mean age 79.3 years (SD 10.3)) who were receiving visiting nurse services. For cross-validation, 169 patients with stroke (mean age 78.0 years (SD 11.2)) in the chronic phase and 187 patients with stroke (mean age 63.4 years (SD 12.7)) in the recovery phase. DESIGN Model construction and cross-validation study. MAIN OUTCOME MEASURES The second power of correlation coefficient (R2) was used for agreement analysis between the short and the full version. Cross-validation of the models was estimated with the intraclass correlation coefficient (ICC). RESULTS Five to 7 motor FIM items were selected for the models based on Rasch calibration and consideration of internal consistency. Total motor FIM was estimated with the 6-item and 7-item models with regression analysis, which yielded high correlations with the original 13-item motor FIM score (R2>0.95). Regression formulas derived from the models could estimate total motor FIM scores accurately in the 2 cross-validation samples (ICC > 0.98). CONCLUSION The short version of the motor FIM developed is a useful measure of functional status, not only in long-term care but in the recovery phase rehabilitation settings.
Stereo analysis, DEM extraction and orthorectification of CORONA satellite imagery: archaeological applications from the Near East

CORONA satellite imagery, preserving an account of the earth's surface from 40 years ago, is a most important archaeological survey tool and we have often sung its praises. Here the authors use new procedures to extend the competence and revelations of CORONA even further. Stereo pairs derived from images taken from fore and aft of the satellite give three dimensional images of landscapes and even individual sites. Techniques of modelling and rectification restore the sites to their original shape without recourse to survey on the ground – in many cases no longer possible since the sites have been buried, inundated or erased. The ingenuity shown here indicates that results from CORONA are only going to get better.
A 2 $\mu\hbox{W}$  100 nV/rtHz Chopper-Stabilized Instrumentation Amplifier for Chronic Measurement of Neural Field Potentials

This paper describes a prototype micropower instrumentation amplifier intended for chronic sensing of neural field potentials (NFPs). NFPs represent the ensemble activity of thousands of neurons and code-useful information for both normal activity and disease states. NFPs are small - of the order of tens of muV- and reside at low bandwidths that make them susceptible to excess noise. Therefore, to ensure the highest fidelity of signal measurement for diagnostic analysis, the amplifier is chopper-stabilized to eliminate 1/f and popcorn noise. The circuit was prototyped in an 0.8 mum CMOS process and consumes under 2.0 muW from a 1.8 V supply. A noise floor of 0.98 muVrms was achieved over a bandwidth from 0.05 to 100 Hz; the noise-efficiency factor of 4.6 is one of the lowest published to date. A flexible on-chip high-pass filter is used to suppress front-end electrode offsets while maintaining relevant physiological data. The monolithic architect and micropower low-noise low-supply operation could help enable applications ranging from neuroprosthetics to seizure monitors that require a small form factor and battery operation. Although the focus of this paper is on neurophysiological sensing, the circuit architecture can be applied generally to micropower sensor interfaces that benefit from chopper stabilization.