Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Algorithm and Probabilistic Neural Networks for Fingerprint Identification

Existing security methods rely on knowledge based on approaches like password or token based on approaches like access cards. Such method is not very secure, biometrics such as fingerprint, face and voice offer means of personal identification and provide increased security because they rely on who we are. In this paper, algorithm fingerprint identification is introduced. The proposed algorithm has used 196 fingerprint image back to the twenty-eight individual 140 from them has been used for training and 56 image has been used for testing . Discrete Cosine Transform has been used to extract distinctive features from fingerprint image and genetic algorithm has been used as feature selection technique . Genetic algorithm has helped to produce GA filter in order to select subset of features out of DCT. When testing the proposed system by using Probabilistic Neural Network has found the identification rate reaching to 91%. This rate has emboldened on attempted using more one filter of genetic algorithm , the result that reached to 98% as identification rate with more reduction in number features.
A game theoretic approach for energy-efficient in-network caching in content-centric networks

Recently, content-centric networking (CCN) has become a hot research topic for the diffusion of contents over the Internet. Most existing works on CCN focus on the improvement of network resource utilization. Consequently, the energy consumption aspect of CCN is largely ignored. In this paper, we propose a distributed energy-efficient in-network caching scheme for CCN, where each content router only needs locally available information to make caching decisions considering both caching energy consumption and transport energy consumption. We formulate the in-network caching problem as a non-cooperative game. Through rigorous mathematical analysis, we prove that pure strategy Nash equilibria exist in the proposed scheme, and it always has a strategy profile that implements the socially optimal configuration, even if the routers are self-interested in nature. Simulation results are presented to show that the distributed solution is competitive to the centralized scheme, and has superior performance compared to other popular caching schemes in CCN. Besides, it exhibits a fast convergence speed when the capacity of content routers varies.
Unified baseline and longitudinal mortality prediction in idiopathic pulmonary fibrosis

The Gender-Age-Physiology (GAP) model is a validated, baseline-risk prediction model for mortality in idiopathic pulmonary fibrosis. Longitudinal variables have been shown to contribute to risk prediction in idiopathic pulmonary fibrosis and may improve the predictive performance of the baseline GAP model. Our aims were to further validate the GAP model and evaluate whether the addition of longitudinal variables improves its predictive performance. The study population was derived from a large clinical trials cohort of patients with idiopathic pulmonary fibrosis (n=1109). Model performance was determined by improvement in the C-statistic, net reclassification improvement, clinical net reclassification improvement, and a goodness-of-fit test. The GAP model had good discriminative performance with a C-statistic of 0.757 (95% CI 0.750–0.764). However, the original GAP model tended to overestimate risk in this cohort. A novel, easy to use model, consisting of the original GAP predictors plus history of respiratory hospitalisation and 24-week change in forced vital capacity (the longitudinal GAP model) improved model performance with a C-statistic of 0.785 (95% CI 0.780–0.790), net reclassification improvement of 8.5%, clinical net reclassification improvement of 25%, and a goodness-of-fit test of 0.929. The Longitudinal GAP model, along with the original GAP model, may unify baseline and longitudinal mortality risk prediction in idiopathic pulmonary fibrosis. GAP and longitudinal GAP models may provide simple unified baseline and longitudinal mortality risk prediction in IPF http://ow.ly/FhYwZ
Wound-Healing Risk Factors After Open Reduction and Internal Fixation of Calcaneal Fractures

This retrospective study investigated outcomes of wound healing in a series of 63 consecutive patients with 64 fractures of the calcaneus who underwent open reduction and internal fixation done by two surgeons experienced in this fracture during a 3-year period. Thirty-nine patients were managed preoperatively as outpatient referrals before surgery. Twenty-four patients were admitted directly to the trauma service and were managed as inpatients preoperatively. Minimum patient follow-up was 6 months, with an average follow-up of 18 months. A trend correlating the time between injury and operative intervention with the incidence of complications in wounds was noted; the incidence rose in patients who underwent surgery >5 days after their injury. Two-layered closures had a lower incidence of dehiscence compared to single-layered tension-relieving sutures. Patients with a higher body-mass index (BMI) (kg/ m2) took longer to heal their wounds. Strong trends were noted to link BMI and severity of fractures. In the outpatient group, a history of active smoking preoperatively correlated with increased time to wound healing. In 43 patients, there were no wound-healing complications. In 21 feet, there were varying degrees of wound dehiscence. Average wound healing took 47 days. Risk factors for complications in the wound after calcaneal open reduction and internal fixation include single layered closure, high BMI, extended time between injury and surgery, and smoking. Age, type of immobilization, medical illness (including diabetes), type of bone graft, or use of a Hemovac did not influence wound healing.
Two Sliding Window Control Based High Utility Pattern Mining

Value of the item set is considered as a utility of that item set and find out the high utility of the item set is the aim of utility mining. Some time database parameters are considered to find out high utility pattern eg. Profit, cost etc. In proposed approach utility value of particular items used for utility mining. In day to day life high utility pattern mining play important role in applications. It's current hot topic in today's research area. Different existing algorithms are present in this area. It first of all identify the candidate itemset's by using their utilities, and simultaneously identify the exact utility of that candidate pattern. Problem of using this algorithm is large number of candidate itemset's are generated. But after computing exact utility it's clear that most of the candidate having no high utility. For generating profitable product manufacturing plan it's very important to understanding the customer preferences in industrial area. Sliding Window based pattern mining approach which considering the quantity, quality and cost of each product for generating high profitable product set, which employed to find out high utility pattern. For establishing highly profitable manufacturing plan, which allow corporation to maximize its revenue, high utility pattern mining is important aspect. Large amount of stream data related to customer purchase behavior used for establishing manufacturing plan. Recent preference of the customers also helps in generating manufacturing plans. This paper contains Two Sliding Windows Pattern mining Algorithm (TSW) scans complete dataset And divide it in to two parts. Both parts scan simultaneously in order to improve the search space. The proposed algorithm (TSW) scans the text using two sliding windows, allowing multiple alignments in the searching process. Introducing A list structure and a novel algorithm for generating high utility pattern over large data, with the help of Sliding Window Control Method. This approach avoid the generation of candidate pattern. Due to reducing candidate pattern, algorithm not required large amount of memory space as well as computational resources for verifying candidate patterns. By considering all this parameters, it's an efficient approach.
The 5p15.33 Locus Is Associated with Risk of Lung Adenocarcinoma in Never-Smoking Females in Asia

Genome-wide association studies of lung cancer reported in populations of European background have identified three regions on chromosomes 5p15.33, 6p21.33, and 15q25 that have achieved genome-wide significance with p-values of 10−7 or lower. These studies have been performed primarily in cigarette smokers, raising the possibility that the observed associations could be related to tobacco use, lung carcinogenesis, or both. Since most women in Asia do not smoke, we conducted a genome-wide association study of lung adenocarcinoma in never-smoking females (584 cases, 585 controls) among Han Chinese in Taiwan and found that the most significant association was for rs2736100 on chromosome 5p15.33 (p = 1.30×10−11). This finding was independently replicated in seven studies from East Asia totaling 1,164 lung adenocarcinomas and 1,736 controls (p = 5.38×10−11). A pooled analysis achieved genome-wide significance for rs2736100. This SNP marker localizes to the CLPTM1L-TERT locus on chromosome 5p15.33 (p = 2.60×10−20, allelic risk = 1.54, 95% Confidence Interval (CI) 1.41–1.68). Risks for heterozygote and homozygote carriers of the minor allele were 1.62 (95% CI; 1.40–1.87), and 2.35 (95% CI: 1.95–2.83), respectively. In summary, our results show that genetic variation in the CLPTM1L-TERT locus of chromosome 5p15.33 is directly associated with the risk of lung cancer, most notably adenocarcinoma.
An automated, reconfigurable, low-power RFID tag

This paper describes an ultra low power active RFID tag and its automated design flow. RFID primitives to be supported by the tag are enumerated with RFID macros and the behavior of each primitive is specified using ANSI-C within the template to automatically generate the tag controller. Two power saving components, a passive transceiver/burst switch and a smart buffer, are presented to save power and increase tag lifetime. Based on a test program, the processors required 183, 43, and 19 muJ per transaction for StrongARM, XScale, and EISC processors, respectively. Three hardware controllers using a Fusion FPGA, Coolrunner II CPLD, and ASIC required 13 nJ, 1.3 nJ, and 0.07 nJ per transaction
On the Performance of Probabilistic Packet Marking for Traceback in Sensor Networks

False data injection is a big threat to sensor networks. A traceback mechanism based on probabilistic packet marking is proposed in this paper. The performance of the basic marking method is thoroughly studied. There is a defect in the basic marking method that upstream nodes' marks are collected by the sink with low probability. To solve the problem, two different improved marking methods-EPPM&EPNM-are proposed. Every node's marking is collected by the sink with approximately equal probability in EPPM. The sink can locate every node by collecting packets of approximately equal number in EPNM.
Mean platelet volume is associated with myocardial perfusion defect in diabetic patients

Summary Aim Our aim was to evaluate whether there was a relationship between mean platelet volume and myocardial perfusion defect in diabetic patients using myocardial perfusion imaging. Method Forty-four diabetic patients with myocardial perfusion defect (group 1) and 44 diabetic patients without myocardial perfusion defect (group 2), matched for age and gender, were retrospectively examined. Levels of mean platelet volume (MPV) in the two groups were assessed. Results MPV was higher in group 1 than group 2 patients (8.76 ± 0.76 and 8.25 ± 0.78 fl), respectively, p = 0.003). Levels of glucose, triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, haemoglobin (Hb) and glycosylated haemoglobin (HbA1c), and body mass index (BMI) in the two groups were not statistically significantly different. Multivariate logistic regression analyses showed that MPV was the only variable independently associated with myocardial perfusion defects (OR: 2.401, 95% CI: 1.298–4.440, p = 0.013). Conclusion This study showed that higher MPV was associated with myocardial perfusion defects. Higher MPV in diabetic patients was independently related to myocardial perfusion defects and may be an indicator of myocardial ischaemia.
Providing a source code security analysis model using semantic web techniques

Security is one of the main issues in all phases of the software life cycle. Since most software vulnerabilities occur in coding phase, so the secure implementation is very important. Semantic Web ontology expresses the concept of a specific area. According to variety of software systems and manufacturing techniques, the Semantic Web can be effective in production of software systems. Anthology helps to review security holes and bugs in source code and produces appropriate reports. To overcome the problem of variety of source code language, in this paper, an ontology approach for source code security analysis model has been used. In this model, the source code is represented in terms of the RDF triples. The security error patterns are provided in the form of SPARQL queries. The result shows that this approach is promising and can effectively find the security flaw patterns in source codes. Experimental evaluations demonstrate that this approach is feasible and finds bug patterns that implemented. The main advantage of this method is the independence of code analysis and error inference sections so each parts can be developed.
Nonlinear current control technique for high performance switched reluctance machine drives

In this paper a novel nonlinear technique for controlling the current in high-performance switched reluctance machine (SRM) drives is introduced. The proposed drive scheme comprises two nonlinear control loops, an inner current control loop and an outer speed control loop. The current control loop employs a sliding mode pulse width modulator (SMPWM), while the speed controller utilizes fuzzy logic to produce the necessary reference current. The proposed high-performance SRM drive is analyzed theoretically and subsequently validated through simulation. Satisfactory dynamic performance and precise speed control with reduced torque ripple and constant switching frequency is obtained. Moreover, no complex mathematical model of the SRM or extensive lookup table is required for control purposes.
Cooperative and active sensing in mobile sensor networks for scalar field mapping

Scalar field mapping has many applications including environmental monitoring, search and rescue, etc. In such applications there is a need to achieve a certain level of confidence regarding the estimates at each location. In this paper, a cooperative and active sensing framework is developed to enable scalar field mapping using multiple mobile sensor nodes. The cooperative and active controller is designed via the real-time feedback of the sensing performance to steer the mobile sensors to new locations in order to improve the sensing quality. During the movement of the mobile sensors, the measurements from each sensor node and its neighbors are taken and fused with the corresponding confidences using distributed consensus filters. As a result an online map of the scalar field is built with a certain level of confidence of the estimates. We conducted computer simulations to validate and evaluate our proposed algorithms.
Phosphite: Guaranteeing out-of-order download in P2P video on demand

We propose Phosphite, a mechanism to preserve out of order download in peer to peer video-on-demand applications, in the presence of selfish peers. In such applications, peers have a natural trend to download blocks in order to start watching videos as soon as possible. Without specific mechanism to enforce a fair amount of out of order download, the last blocks of the video tend to be lost due to peers leaving soon after having downloaded the last blocks thus forcing peers to rely on the central server for re-introducing those lost blocks. This issue can be solved if peers dedicate a portion of their bandwidth for out of order downloads. Yet, this heavily relies on the goodwill of peers to collaborate. Phosphite is a simple yet efficient approach ensuring that all peers dedicate a part of their bandwidth to out of order download. Phosphite relies on a computational challenge where peers are provided with a combination of the requested blocks and other blocks. This forces peers to download out of order blocks to be able to decode the requested blocks. We evaluate Phosphite and show that it successfully prevents the system from losing blocks, even in the presence of selfish peers, thus offering an appealing alternative to state of the art approaches. With Phosphite, the last blocks remain available (with a probability higher than 0.98), while such result cannot be guaranteed (with a probability lower than 0.5) without enforcement mechanism. Phosphite ensures that a peer to peer download is almost always possible, even in the presence of selfish peers.
Reuse Library Interoperability and The World Wide Web

The Reuse Library Interoperability Group (RIG) was formed in 1991 for the purpose of drafting standards enabling the interoperation of software reuse libraries. At that time, prevailing wisdom among many reuse library operators was that each should be a stand-alone operation. Many operators saw a need for only a single library, their own, and most strived to provide the most general possible services to appeal to a broad community of users. The ASSET program, initiated by the Advanced Research Project Agency STARS program, was the first to make the claim that it should properly be one part of a network of interoperating libraries. Shortly thereafter, the RIG was formed, initially as a collaboration between the STARS program and the Air Force RAASP program, but growing within six months to a self-sustaining cooperation among twelve chartering organizations. The RIG has grown to include over twenty members from government, industry, and academic reuse libraries. It has produced a number of technical reports and proposed interoperability standards, some of which are described in this report.
Curcumin Protects Nigrostriatal Dopaminergic Neurons and Reduces Glial Activation in 6-Hydroxydopamine Hemiparkinsonian Mice Model

This study investigated the effects of curcumin on nigrostriatal dopaminergic (DA) neurons and glial response in 6-hydroxydopamine (6-OHDA) hemiparkinsonian mice. Following unilateral intrastriatal 6-OHDA injection, mice were daily injected with curcumin for seven days, beginning on the day of lesion. Seven days after 6-OHDA lesioning, sections from the striatum and the substantia nigra pars compacta (SNpc) were collected and immunohistochemically stained for DA neurons and reactive glia. Curcumin decreased 6-OHDA-induced loss of nigral tyrosine hydroxylase-immunoreactive (TH-IR) neurons and striatal TH-IR fibers. The neuroprotection was coincided with a significant attenuation of microglial and astroglial reaction in the SNpc and the striatum. These results suggest that the neuroprotective effects of curcumin in 6-OHDA-lesioned mice may be mediated through its anti-inflammatory properties or direct protection on nigral DA neurons, thereby reducing neuronal injury-induced glial activation.
Molecular characterization of aerosol-derived water soluble organic carbon using ultrahigh resolution electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry

Despite the acknowledged relevance of aerosolderived water-soluble organic carbon (WSOC) to climate and biogeochemical cycling, characterization of aerosol WSOC has been limited. Electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI FT-ICR MS) was utilized in this study to provide detailed molecular level characterization of the high molecular weight (HMW; m/z>223) component of aerosol-derived WSOC collected from rural sites in Virginia and New York, USA. More than 3000 peaks were detected by ESI FT-ICR MS within a m/z range of 223–600 for each sample. Approximately 86% (Virginia) and 78% (New York) of these peaks were assigned molecular formulas using only carbon (C), hydrogen (H), oxygen (O), nitrogen (N), and sulfur (S) as elemental constituents. H/C and O/C molar ratios were plotted on van Krevelen diagrams and indicated a strong contribution of lignin-like and lipid-like compounds to the aerosol-derived WSOC samples. Approximately 1–4% of the peaks in the aerosol-derived WSOC mass spectra were classified as black carbon (BC) on the basis of double bond equivalents calculated from the assigned molecular formulas. In addition, several high-magnitude peaks in the mass spectra of samples from both sites corresponded to molecular formulas proposed in previous secondary organic aerosol (SOA) laboratory investigations indicating that SOAs are important constituents of the WSOC. Overall, ESI FT-ICR MS provides a level of resolution adequate for detailed compositional and source information of the HMW constituents of aerosolderived WSOC. Correspondence to: A. S. Wozniak (wozniak@vims.edu)
Comparison of Subjective and Objective Sleep Estimations in Patients with Bipolar Disorder and Healthy Control Subjects

Background. Several studies have described but not formally tested discrepancies between subjective and objective measures of sleep. Study Objectives. To test the hypothesis that patients with bipolar disorder display a systematic bias to underestimate sleep duration and overestimate sleep latency. Methods. Actimetry was used to assess sleep latency and duration in 49 euthymic participants (bipolar = 21; healthy controls = 28) for 5–7 days. Participants simultaneously recorded estimated sleep duration and sleep latency on a daily basis via an online sleep diary. Group differences in the discrepancy between subjective and objective parameters were calculated using t-tests and corrected for multiple comparisons. Results. Patients with bipolar disorder significantly underestimated their sleep duration but did not overestimate their sleep latency compared to healthy controls. Conclusions. Studies utilizing diaries or questionnaires alone in patients with bipolar disorders may systematically underestimate sleep duration compared to healthy controls. The additional use of objective assessment methods such as actimetry is advisable.
Incorporation of Fiber Bragg Sensors for Shape Memory Polyurethanes Characterization

Shape memory polyurethanes (SMPUs) are thermally activated shape memory materials, which can be used as actuators or sensors in applications including aerospace, aeronautics, automobiles or the biomedical industry. The accurate characterization of the memory effect of these materials is therefore mandatory for the technology’s success. The shape memory characterization is normally accomplished using mechanical testing coupled with a heat source, where a detailed knowledge of the heat cycle and its influence on the material properties is paramount but difficult to monitor. In this work, fiber Bragg grating (FBG) sensors were embedded into SMPU samples aiming to study and characterize its shape memory effect. The samples were obtained by injection molding, and the entire processing cycle was successfully monitored, providing a process global quality signature. Moreover, the integrity and functionality of the FBG sensors were maintained during and after the embedding process, demonstrating the feasibility of the technology chosen for the purpose envisaged. The results of the shape memory effect characterization demonstrate a good correlation between the reflected FBG peak with the temperature and induced strain, proving that this technology is suitable for this particular application.