Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiplierless Unity-Gain SDF FFTs

In this brief, we propose a novel approach to implement multiplierless unity-gain single-delay feedback fast Fourier transforms (FFTs). Previous methods achieve unity-gain FFTs by using either complex multipliers or nonunity-gain rotators with additional scaling compensation. Conversely, this brief proposes unity-gain FFTs without compensation circuits, even when using nonunity-gain rotators. This is achieved by a joint design of rotators, so that the entire FFT is scaled by a power of two, which is then shifted to unity. This reduces the amount of hardware resources of the FFT architecture, while having high accuracy in the calculations. The proposed approach can be applied to any FFT size, and various designs for different FFT sizes are presented.
Gaussian Restoration pyramid : Application of image restoration to Laplacian pyramid compression

An efficient non-orthogonal pyramid representation was proposed by Burt. However it has been stated in literature that the Laplacian sub bands of Burt pyramid have redundant information. In this paper, we propose a modified pyramid representation to reduce the redundancy in Laplacian sub bands. The proposed pyramid representation makes use of well studied de-blurring algorithm to get a prediction of blurred Gaussian images. The proposed pyramid is an improvement on Burt pyramid as it exhibits reduced sub-band frequency overlap, cross correlation and mutual information. The advantage of using this pyramid representation in image magnification and Progressive image transmission (PIT) in noisy and unreliable networks is discussed here.
Primary health care approach to Diabetes mellitus in Malawi

Diabetes Mellitus (DM) is one of non-communicable diseases that have public health significance. In Malawi, it is estimated that diabetes prevalence rate is 5.6% among the age group 25-64 in the year 2009. In Malawi, diabetes has not gained adequate attention in terms of all resources such as personnel, medicinal and laboratory equipment and reagents. Primary Health Care approach to the management of diabetes is not only low labour intensive but improves patient retention as well especially in rural areas. Health Education, for instance, improves self- care and life style. Adopting this strategy will help poor Malawians affected with diabetes access the much needed care affordably. Nurse-led diabetes clinics strategy hits two birds with one stone in that remote areas –where nurses already working- could be easily provided with the services and nurses are the most available cadre in the hands of the Ministry of Health. So, Primary Health Care (PHC) approach, if carefully used, will help Malawians affected with diabetes to have access to the much needed care thereby improving their own quality of life.
Molecular and Biochemical Characterization of the Selenocysteine Se-Methyltransferase Gene and Se-Methylselenocysteine Synthesis in Broccoli

Selenium (Se) plays an indispensable role in human nutrition and has been implicated to have important health benefits, including being a cancer preventative agent. While different forms of Se vary in their anticarcinogenic efficacy, Se-methylselenocysteine (SeMSC) has been demonstrated to be one of the most effective chemopreventative compounds. Broccoli (Brassica oleracea var. italica) is known for its ability to accumulate high levels of Se with the majority of the selenoamino acids in the form of Se-methylselenocysteine. Therefore, it serves as a good model to study the regulation of SeMSC accumulation in plants. A cDNA encoding selenocysteine Se-methyltransferase, the key enzyme responsible for SeMSC formation, was cloned from broccoli using a homocysteine S-methyltransferase gene probe from Arabidopsis (Arabidopsis thaliana). This clone, designated as BoSMT, was functionally expressed in Escherichia coli, and its identity was confirmed by its substrate specificity in the methylation of selenocysteine. The BoSMT gene represents a single copy sequence in the broccoli genome. Examination of BoSMT gene expression and SeMSC accumulation in response to selenate, selenite, and sulfate treatments showed that the BoSMT transcript and SeMSC synthesis were significantly up-regulated in plants exposed to selenate but were low in plants supplied with selenite. Simultaneous treatment of selenate with selenite significantly reduced SeMSC production. In addition, high levels of sulfate suppressed selenate uptake, resulting in a dramatic reduction of BoSMT mRNA level and SeMSC accumulation. Our results reveal that SeMSC accumulation closely correlated with the BoSMT gene expression and the total Se status in tissues and provide important information for maximizing the SeMSC production in this beneficial vegetable plant.
Vehicle collision avoidance algorithm based on state estimation in the roundabout

The collision avoidance algorithm based on state estimation is developed by introducing the concept of force field and warning function in the roundabout. The desired trajectory is an array stored in memory, the choice of target point array determines the vehicle trajectory. According to the predictive value and measurement of positioning system, the autonomous vehicle implements path following algorithm by estimating the states. A rectangle on the position plane is used to describe conflict area, and the multi-vehicle autonomous system model is established. By selecting the safety operation mode, vehicles can be away from the conflict area and pass the merging points by implementing collision avoidance algorithm.
Notice of RetractionThe Influence of Public R & D Investment on Technological Innovation in Zhejiang Province

R&D is an important factor in promoting the progress of technology, pushing forward the promotion of industry and keeping the regional economic development. Because of the market failure resulted by the R&D activities, promoting the technological innovation needs public R&D by the government. This essay analyzed the relationship among the invested public R&D, the invested enterprise R&D, the increasing of GDP and the results of technological innovation, according to which to get the effect of the technological innovation of enterprise brought by the invested public R&D in Zhejiang province.
Osgood-Schlatter's disease in adolescent athletes

During the period of 1976 to 1981, a total of 412 young athletes contacted the Turku Sports Medical Research Unit's (TSMRU) Outpatient Sports Clinic with 586 com plaints. These records included 68 athletes with Os good-Schlatter's disease (OSD), who were initially pre scribed an average of 2 months' rest from any physical activity causing pain. Symptoms of tibial tuberosity pain occurred first at the average age of 13.1 years. Accord ing to the retrospective questionnaire, the pain caused complete cessation of training for an average of 3.2 months, and the disease interfered with fully effective training for an average of 7.3 months. According to a retrospective questionnaire given to 389 students (191 girls and 198 boys), 50 (12.9%) had suffered from OSD. Nearly one-half of the students, 193 (49.6%), had been active in sports at the age of 13, and 41 (21.2%) of them had suffered from OSD. In those students who were not active in sports, the incidence was only nine (4.5%; P < 0.001). The incidence (32%) was higher in the siblings of the OSD patients of TSMRU who were active in sports than in the corresponding student group (21.2%). In a group of 22 patients from the TSMRU who had suffered from Sever's disease (calcaneal apophysitis), the inci dence of OSD (68%) was significantly higher than in students who were active in sports (P < 0.001).
Obligatory activator-polymerase addition order at promoters

The kinetics of open complex formation were measured by migration retardation assay and DNase I footprinting at the activator-dependent promoters ara P1, lac P1 and gal P1. In each case, the rate of open complex formation was significantly faster if the activator, AraC for ara and CAP for lac and gal, had been added before RNA polymerase. The results indicate that complexes of transcriptional activators, RNA polymerase and promoter can exist in two states, one which can form open complexes rapidly and one which cannot.
Serum Cardiac Troponin I Concentrations in Dogs with Systemic Inflammatory Response Syndrome

Background Myocardial injury can be detected by cardiac troponin I (cTnI) concentration, which appears to be a predictor of short‐term death in critically ill patients. It is unknown if the best prognostic indicator of short‐term survival is cTnI measurement at admission or at later time points. Hypothesis/Objectives Measuring cTnI with a high‐sensitivity (HS) test at different time points after admission may be a better short‐term prognostic indicator than a single cTnI measurement at admission in dogs with systemic inflammatory response syndrome (SIRS). Animals Prospective, observational clinical study of 60 dogs with SIRS. Methods Cardiac troponin I concentration was measured in 133 serum samples, collected at days 1, 2, 3, and 5. Additionally, the acute patient physiologic and laboratory evaluation (APPLE) fast score was evaluated at admission. Prognostic capabilities of cTnI measurement and APPLE fast score for 28‐day mortality were assessed by receiver operating characteristic curve analysis. Results Forty‐one dogs with SIRS that survived 28 days had significantly lower serum cTnI concentrations at admission (median, 0.09 ng/mL; P = .004) and at the peak time point (median, 0.23 ng/mL; P = .01) compared to 19 nonsurvivors (median at admission, 0.63 ng/mL; median at peak, 1.22 ng/mL). Area under the curve to predict survival, using cTnI was similar at admission (0.732) and at peak (0.708), and was 0.754 for the APPLE fast score. Conclusions and Clinical Importance Increased cTnI concentration in dogs with SIRS is associated with poor outcome. Daily follow‐up measurement of cTnI concentration provides no additional prognostic information for short‐term mortality.
Wolber Discovery of novel α-amylase inhibitors using structure-based drug design P 2

Pharmacometric analysis of clinical microdialysis data – Adequacy of standard linezolid dosing in different patient groups Identification of novel viral protease inhibitors via dynamic fragment ligation Using structure-and Ligand-based pharmacophores as filters to discriminate Human Aryl Sulfotransferase 1A1 (SUL1A1) binders into substrates and inhibitors Discovery of novel α-amylase inhibitors using structure-based drug design Dualsteric muscarinic antagonists–orthosteric binding pose controls allosteric subtype-selectivity P5 MUTZ-3-derived Langerhans-like cells as a model system to study cytokine-and TLR2-induced dendritic cell activation A population pharmacokinetic approach to investigate the possibility of lysosomal trapping of inhaled olodaterol New approach to chemically stable diazo-peptides as activity-based probes of cysteine proteases 2,4-Toluenediamine as a model compound for biotransformation studies in human skin and reconstructed full thickness skin TLR2/1 and sphingosine-1-phosphate signalling enhance inflammatory cytokine production and myofibroblast formation in human dermal fibroblasts In vitro characterisation of vancomycin as prerequisite for a microdialysis study in neonates Qualitative and quantitative analysis of tumor-promoting and skin irritating diterpene esters in homeopathic mother tinctures by HPLC and MS The effect of API particle size on the efficiency of typical nanosizing processes Target site pharmacokinetics of doripenem in plasma and interstitial space fluid of peripheral tissues The potential of flavan-3-OLS and their oligomers as neuraminidase inhibitors and limitation of a fluorescence based assay P35 C. Rakers, G. Wolber In silico prediction of enzyme activity using molecular dynamics simulations and 3D pharmacophores Using structure-and Ligand-based pharmacophores as filters to discriminate Human Aryl Sulfotransferase 1A1 (SUL1A1) binders into substrates and inhibitors Investigation of plant latex proteins of genus Euphorbia L. by two-dimensional gel electrophoresis Moxifloxacin in patients with diabetic foot infections (DFI) – Are current susceptibility breakpoints attained? Population pharmacokinetic analysis of hydrocortisone in paediatric patients with adrenal insufficiency for an upcoming optimal design analysis Objectives: Microdialysis has emerged as a valuable tool to assess unbound antibiotic concentrations in the interstitial tissue space as the target site of most infections. The present work sought to characterise plasma and tissue pharmacokinetics (PK) of linezolid by population pharmacokinetic modelling and to identify factors explanatory for the observed variability between and within different patient groups. Methods: A pooled population model was built in NONMEM ® 7.2 upon data from three studies involving 52 individuals (healthy volunteers and patients with sepsis, diabetic foot infections or cystic fibrosis) 1. To visualise the clinical impact of covariate relations on PK parameters, simulations were performed for different patient categories. Results: Creatinine clearance and …
Dynamic correlative VM placement for quality-assured cloud service

How to increase the utilization of data center networks (DCN) is a critical problem to ensure the quality of cloud services. Previous researches showed that the key is to increase the time-average utilization and decrease the overload ratio, and proposed many efficient virtual machine (VM) placement algorithms to achieve higher utilization. However, most of those works did not consider the quality assurance and statistical multiplexing methods, which can greatly improve the effectiveness of VM placement. In this paper, we propose a novel quality-assured VM placement scheme that dynamically places VMs to better multiplex time-varying resource demands. We firstly apply AutoRegressive Integrated Moving Average (ARIMA) and Generalized AutoRegressive Conditional Heteroskedasticity (GARCH model) to forecast the trend and volatility of the future demand, and then develop a Modern Portfolio Theory (MPT)-based method to enlarge DCN utilization and hedge the risk of server overloads. Extensive simulations and detailed analysis are conducted to validate the efficiency of our proposed scheme, which outperforms the previous works greatly.
Imaginal Confrontation for Resolving Child Abuse Issues

This process-outcome study is a follow-up to an outcome study evaluating emotion-focused therapy for adult survivors of childhood abuse. The contributions of the therapeutic alliance, initial engagement in the primary imaginal confrontation intervention (IC), overall dosage of IC (Quality Ú Frequency), and client predisposing variables were examined. The Levels of Engagement Scale (LES) was developed to measure the quality of client engagement in IC. LES ratings were stable across therapy, but early engagement was only marginally related to subsequent dosage of IC. A strong alliance predicted improvements in self-esteem and resolution of abuse issues; early engagement in IC predicted abuse resolution; dosage additionally contributed to reduced global and trauma-specific symptomatology and interpersonal problems. Finally, severity of childhood trauma and current trauma symptoms were unrelated to therapy processes but were linked with poorer outcome on some dimensions.
Increased Urinary Exosomal MicroRNAs in Patients with Systemic Lupus Erythematosus

There is increased interest in using microRNAs (miRNAs) as biomarkers in different diseases. Present in body fluids, it is controversial whether or not they are mainly enclosed in exosomes, thus we studied if urinary miRNAs are concentrated inside exosomes and if the presence of systemic lupus erythematosus with or without lupus nephritis modifies their distribution pattern. We quantified specific miRNAs in urine of patients with systemic lupus erythematosus (n = 38) and healthy controls (n = 12) by quantitative reverse-transcription PCR in cell-free urine, exosome-depleted supernatant and exosome pellet obtained by ultracentrifugation. In control group, miR-335* and miR-302d were consistently higher in exosomes than in exosome-depleted supernatant, and miR-200c and miR-146a were higher in cell-free fraction. In lupus patients, all urinary miRNAs tested were mainly in exosomes with lower levels outside them (p<0.05 and p<0.01, respectively). This pattern is especially relevant in patients with active lupus nephritis compared to the control group or to the SLE patients in absence of lupus nephritis, with miR-146a being the most augmented (100-fold change, p<0.001). Among the exosomal miRNAs tested, only the miR-146a discriminates the presence of active lupus nephritis. In conclusion, urinary miRNAs are contained primarily in exosomes in systemic lupus erythematosus, and the main increment was found in the presence of active lupus nephritis. These findings underscore the attractiveness of exosomal miRNAs in urine, a non-invasive method, as potential renal disease markers.
When and why creativity‐related conflict with coworkers can hamper creative employees' individual job performance

We examined when and why focal employees' creativity-related conflict with coworkers is related to their individual job performance. As hypothesized, a survey among 113 employees in 14 manufacturing work groups showed that creativity-related conflict with coworkers escalates into dysfunctional relationship conflict when focal employees have low rather than high trust in those coworkers. In its turn, relationship conflict with coworkers was found to be negatively associated with focal employees' individual job performance when they lack support from their supervisor. Finally, the indirect effect of creativity-related conflict on job performance through relationship conflict was found to be significant when both the first stage moderator of coworker trust and the second stage moderator of supervisory support were low rather than high.
Multiplicative processes and power laws

Takayasu, Sato, and Takayasu [Phys. Rev. Lett. 79, 966 (1997)] revisited the question of stochastic processes with multiplicative noise, which have been studied in several different contexts over the past decades. We focus on the regime, found for a generic set of control parameters, in which stochastic processes with multiplicative noise produce intermittency of a special kind, characterized by a power-law probability density distribution. We briefly explain the physical mechanism leading to a power law probability distribution function, and provide a list of references for these results dating back from a quarter of century. We explain how the formulation in terms of the characteristic function developed by Takayasu, Sato, and Takayasu can be extended to exponents $\ensuremath{\mu}g2,$ which explains the ``reason for the lucky coincidence. '' The multidimensional generalization of the results of Takayasu, Sato, and Takayasu and the present status of the problem are briefly summarized. The discovery of stretched exponential tails in the presence of the cutoff introduced by Takayasu, Sato, and Takayasu is explained theoretically. We end by briefly listing applications.
Proteomics to go: Proteomatic enables the user-friendly creation of versatile MS/MS data evaluation workflows

UNLABELLED We present Proteomatic, an operating system independent and user-friendly platform that enables the construction and execution of MS/MS data evaluation pipelines using free and commercial software. Required external programs such as for peptide identification are downloaded automatically in the case of free software. Due to a strict separation of functionality and presentation, and support for multiple scripting languages, new processing steps can be added easily. AVAILABILITY AND IMPLEMENTATION Proteomatic is implemented in C++/Qt, scripts are implemented in Ruby, Python and PHP. All source code is released under the LGPL. Source code and installers for Windows, Mac OS X, and Linux are freely available at http://www.proteomatic. org. CONTACT michael.specht@uni-muenster.de SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Rules For Geospatial Semantic Web Applications

The use of geospatial data is ubiquitous in many real-world applications. For example, geospatial data is useful for planning bus routes for a city, for finding suitable helicopter landing areas for a military operation, and for analyzing the nuclear weapon production capability of a hostile country. In a typical geospatial application, the semantics of data (e.g., vector data, sensor data, and satellite images) and the procedures for processing the data (e.g., functions for coordinate transformation and image processing) are usually tightly coupled within the application implementations. This kind of “hard-wired” approach often hinders the flexibility and portability of the applications. With the emergence of semantic web languages (i.e., RDF/RDFS and OWL), we believe that future geospatial application will be able to exploit ontologies for geospatial knowledge sharing and computation.
A computer vision system for detection and avoidance for automotive vehicles

This paper presents a vision based algorithm for obstacle detection and avoidance for autonomous land vehicle. For an efficient algorithm it is necessary to know the information about surrounding environment of vehicle. The whole environment is classified in two groups as obstacle and path. This classification helps to find the space for avoiding the obstacle. Data is acquired by a high resolution digital camera. Relative distance of the obstacle, dimension of the obstacle, turning radius of the vehicle and required turning angle of the steering are estimated. The simulation is done using MATLAB 7.1 version.
Impact of IoT (Internet of Things) on Growth of Cloud Applications in Service Sector with Specific Reference to Western Maharashtra

The traditional approach for applications development has always been very complicated and had higher total cost of ownership (TCO). The cost incurred for hardware and software required to run is significant and we need to add significant cost in managing dedicated software. With Cloud Computing, this is replaced by personalized, power-to-the-people, do-it-yourself approach is "in", with the emergence of new technology known as Cloud Computing. In modern management of business, selection of right decision among RIGHT CHOICE among alternatives available. The choice of right decision mainly depends on the quality and quantity of underlying data. Hence initially from 70s to year 2000 majority of IT systems were data oriented system. With advent of speedy network from cloud and variety of devices to capture data, the IOT (Internet of Things) emerged.
Information-dispersal games for security in cognitive-radio networks

Rabin's information dispersal algorithm (IDA) simultaneously addresses secrecy and fault-tolerance by encoding a data file and parsing it into unrecognizable data-packets before transmitting or storing them in a network. In this paper, we redesign Rabin's IDA for cognitive-radio networks where the routing paths are available with uncertainty. In addition, we also assume the presence of an attacker in the network which attempts to simultaneously compromise the confidentiality and data-integrity of the source message. Due to the presence of two rational entities with conflicting motives, we model the problem as a zero-sum game between the source and the attacker and investigate the mixed-strategy Nash Equilibrium by decoupling the game into two linear programs which have a primal-dual relationship.