Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Groningen Empirical Differential Balancing for Nonlinear Systems

In this paper, we consider empirical balancing of a nonlinear system by using its prolonged system, which consists of the original nonlinear system and its variational system. For the prolonged system, we define differential reachability and observability Gramians, which are matrix valued functions of the state trajectory (i.e. the initial state and input trajectory) of the original system. The main result of this paper is showing that for a fixed state trajectory, it is possible to compute the values of these Gramians by using impulse and initial state responses of the variational system. By using the obtained values of the Gramians, balanced truncation is doable along the fixed state trajectory without solving nonlinear partial differential equations. An example demonstrates our proposed method to compute a reduced order model along a limit cycle of a coupled van der Pol oscillator.
GENETIC POLYMORPHISM OF THE GONADOTROPIN RELEASING HORMONE RECEPTOR GENE IN NON-DESCRIPTIVE LOCAL GOATS IN SRI LANKA

In the present study genetic polymorphism in exon 1 of Gonadotropin Releasing Hormone Receptor (GnRHR) gene was analyzed as a candidate gene for prolificacy in non-descriptive local goats in Sri Lanka. Three Single Nucleotide Polymorphisms (SNPs) A730G, G757A and G891T (Arg/Met) were identified by DNA sequencing for the first time in Sri Lanka. All three polymorphic sites were heterozygous and dominated by homozygous genotypes (GG and AA). At the G757A and G891T sites GG genotype and at the A730G site AA genotype were dominant with the frequencies of 0.77, 0.80 and 0.87 respectively. Two of the SNPs recorded in the study are silent mutations (A730G and G757A) and the other one is responsible for amino acid change from Arg to Met. We are reporting the mutation at the A730G polymorphic site in the GnRHR gene for the first time among all goat breeds of the world. Results of the present study will be extremely important for developing markers to improve the litter size of local goats.
A Rough Guide to Quantum Chaos

This tutorial offers some insight into the question “ What is quantum chaos and why is it interesting? ”. Its main purpose is to present some signatures of chaos in the quantum world. This is not a technical reference, it contains but a few simple equations and no explicit references; rather, the main body of this manuscript is followed by a reading guide. Some of the mathematical tools used in the field are so cumbersome they often obscure the physical relevance of the problem under investigation. However, after having consulted this tutorial, the technical literature should appear less mysterious and, we hope, one should have a better intuition of what is interesting, and what is superficial!
Hybrid Link/Path-Based Design for Translucent Photonic Network Dimensioning

The advancement of ultralong-haul transmission technology has dramatically enhanced the all-optical reaches. However, the actual situations of installed fiber and sites for terrestrial network often prevent implementing a purely transparent network, and thus, opaque reshaping retiming regenerating (3R) regeneration is required to guarantee optical signal reachability. Since 3R regenerators based on optical/electrical/optical conversion tend to dominate the total network costs, an efficient network design method that allocates a minimum number of 3R regenerators to optimum locations is essential to build a cost-effective photonic network. In this paper, we propose such a network-dimensioning method by combining the advantages of link-based and path-based design approaches. It first guarantees optical signal reachability for any possible traffic demand in each segmented linear link. After combining all the links, excessive regenerators are eliminated based on the optical signal quality check with -factor calculation for each wavelength path. A trial design of a large-scale mesh network demonstrated a significant cost savings of more than 30% in comparison with a conventional link-based design. In the trial, the impact of fiber loss coefficient over the total network cost was investigated quantitatively, addressing the importance of such quantitative modeling and analysis.
High-sensitivity C-reactive protein ( hs-CRP ) gene polymorphisms ( rs 1205 and rs 2794520 ) associated with hs-CRP serum levels in periodontitis-associated chronic kidney disease patients from Uyghur adults

Chronic inflammation may play a role in chronic kidney disease (CKD) and chronic periodontitis (CP) progression. CRP gene polymorphisms are associated with serum C-reactive protein (CRP) concentrations. It is unknown if CRP polymorphisms are associated with CKD and CP progression. 181 CKD patients with 161 PC and 197 Non-CKD subjects with 145 CP were included in this study. Genotyping was conducted using SNaPshot assays. The significance of differences in allele and genotype frequencies between groups was assessed by the χ2 test. First, CKD patients had high serum hs-CRP compared with healthy control group. Moreover, CKD patients accompanied with CP significantly higher hs-CRP serum levels than CKD a single cause. In addition, the association was found between the studied CRP polymorphisms (rs1205 and rs2794520) and susceptibility to CKD or CP diseases. CRP levels were the highest in CP patients accompanied with CKD carrying CT genotypes and the lowest in PC subjects with homozygotes (CC or TT) in rs1205 and rs2794520. It was concluded that CRP polymorphisms (rs1205 and rs2794520) were associated with CKD and CP diseases in a Uyghur population.
ESTIMATION OF TWEETS BY LEARNING SOCIAL BOOKMARK DATA

People are posting huge amounts of varied information on the Web as the popularity of social media continues to increase. The sentiment of a tweet posted on Twitter can reveal valuable information on the reputation of various targets both on the Web and in the real world. We propose a method to classify tweet sentiments by machine learning. In most cases, machine learning requires a significant amount of manually labeled data. Our method is different in that we use social bookmark data as training data for classifying tweets with URLs. In social bookmarks, comments are written using casual expressions, similar to tweets. Since tags in social bookmarks partly represent sentiment, they can be used as supervisory signals for learning. The proposed method moves beyond the basic “positive”/“negative” classification to classify impressions as “interesting”, “funny”, “negative”, and “other”.
PRIVACY PRESERVED MEDICAL DATA SHARING MODELS FOR CLOUD SYSTEMS

Health Record of an individual personal i s a vital way that can be utilized for keeping track of patient data in accurate, reliable as well as complete manner. For all intents and purposes, restorative information sharing is a basic and testing issue. Consequently in this paper, we devel op a novel human services framework by using the adaptability of cloudlet. The elements of cloudlet incorporate secu rity insurance, information sharing and interruption location. In the phase of information accumulation, we initially use Number Theory Research Unit (NTRU) technique to scr amble client's body information gathered by wearable devi ce. That information will be transmitted to adjacent cloudlet in a vitality proficient form. Furthermore, we exhibit a nother trust model to enable clients to choose trustable accompl ices who to need to share put away information in the cloudlet. The trust display additionally causes comparable patients to speak with each other about their sicknesses. Thirdly, we isol ate clients' medicinal information put away in remote billow of healing facility into three sections, and give them appropr iate insurance. KeywordsPrivacy Protection, Data Sharing, Collaborative Intrusion Detection System (IDS), Healthcare.
JNK phosphorylates β‐catenin and regulates adherens junctions

The c‐Jun amino‐terminal kinase (JNK) is an important player in inflammation, proliferation, and apoptosis. More recently, JNK was found to regulate cell migration by phosphorylating paxillin. Here, we report a novel role of JNK in cell adhesion. Specifically, we provide evidence that JNK binds to E‐cadherin/β‐catenin complex and phosphorylates β‐catenin at serine 37 and threonine 41, the sites also phosphorylated by GSK‐3β. Inhibition of JNK kinase activity using dominant‐negative constructs reduces phosphorylation of β‐catenin and promotes localization of E‐cadherin/β‐catenin complex to cell‐cell contact sites. Conversely, activation of JNK induces β‐catenin phosphorylation and disruption of cell contacts, which are prevented by JNK siRNA. We propose that JNK binds to β‐catenin and regulates formation of adherens junctions, ultimately controlling cell‐to‐cell adhesion. —Lee, M. ‐H. , Koria, P., Qu, J., Andreadis, S. T. JNK phosphorylates β‐catenin and regulates adherens junctions. FASEBJ. 23, 3874‐3883 (2009). www.fasebj. org
Iris Recognition by Using Image Processing Techniques and Feature Extraction

Iris recognition system has become very important, especially in the field of security, because it provides high reliability. Many researchers have suggested new methods to iris recognition system in order to increase the efficiency of the system. Various methods have been proposed to achieve high performance in iris recognition. In the proposed system, three feature extraction approaches, Histogram of Oriented Gradient (HOG), Gray Level Co-Occurrence Matrix (GLCM) and Local Binary Pattern (LBP) are used to extract the features from iris image. On other hand, two classifiers; K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) are used in the classification stage. The iris image passes through several stages before extracting features stage; first, pre-processing stage which includes image resizing that unifies all images' size, second, segmentation stage which determines the iris region in eye image, finally, normalization stage which converts the iris region to suitable shape with specific dimensions. The proposed methods have been applied on iris database.However, the proposed system achieved recognition rate of 100% when HOG+KNN method is used. IndexTerms— Iris Recognition; Histogram of Oriented Gradient; Gray Level Co-Occurrence Matrix; Local Binary Pattern. ______________________________________________________________________________________________________
Positron emission tomographic imaging of neural correlates of a fear acquisition and extinction paradigm in women with childhood sexual-abuse-related post-traumatic stress disorder

Background. In the conditioned fear paradigm, repeated pairing of an aversive unconditioned stimulus (US) (e.g. electric shock) with a neutral conditioned stimulus (CS) (e.g. bright light) results in a conditioned fear response to the light alone. Animal studies have shown that the amygdala plays a critical role in acquisition of conditioned fear responses, while the medial prefrontal cortex (including anterior cingulate), through inhibition of amygdala responsiveness, has been hypothesized to play a role in extinction of fear responses. No studies have examined neural correlates of fear conditioning and extinction in patients with post-traumatic stress disorder (PTSD). Method. Women with early childhood sexual-abuse-related PTSD (n=8) and women without abuse or PTSD (n=11) underwent measurement of psychophysiological (skin conductance) responding as well as positron emission tomographic (PET) measurement of cerebral blood flow during habituation, acquisition and extinction conditions. During habituation subjects were repeatedly exposed to a blue square on a screen. During acquisition, exposure to the blue square (CS) was paired with an electric shock to the forearm (US). With extinction, subjects were again exposed to the blue squares without shock. On a different day subjects went through the same procedure with electric shocks administered randomly in the absence of the blue square. Results. Skin conductance responding to the CS was consistent with the development of conditioned responses with this paradigm. PTSD patients had increased left amygdala activation with fear acquisition, and decreased anterior cingulate function during extinction, relative to controls. Conclusions. These findings implicate amygdala and anterior cingulate in the acquisition and extinction of fear responses, respectively, in PTSD.
Frequency Domain Windowing of LFM Waveforms in Fundamentals of Radar Signal Processing

By performing the matched filtering in the frequency domain, we can combine the matched filter operation with the windowing to reduce the required computation. A block diagram of one way to arrange the flow of operations is shown in Figure 1. This diagram shows the window applied to the filter frequency response before the actual filtering step. This has the advantage of allowing the windowing to be done off-line, i.e. not in real time. We could just as well apply the window to the product of the signal and matched filter frequency responses. The end result at the output would be identical, but the windowing would have to be repeated every time there was a new signal to filter, and in real time.
A meta-analysis : the DVT prevalence and its risk factors among SCI patients

Deep vein thrombosis (DVT), as one of the most common secondary complications of spinal cord injury (SCI), is a potentially catastrophic condition for patients with SCI. We carried out the current meta-analysis to estimate the DVT prevalence and its relationship with the gender and American Spinal Injury Association (ASIA) grades of SCI patients. Relevant studies published before November 3, 2016, were retrieved from PubMed, EMBASE and Web of Science databases. The pooled DVT event rate and 95% confidence interval (CI) among SCI patients was generated, and the odds ratios (ORs) with corresponding 95% CIs of the gender and ASIA grades of SCI patients were also yielded. The overall DVT event rate was 14.8% among SCI patients, 25.9% among those in Asia, 12.1% among those in non-Asia, 19.7% among those from rehabilitation institutes and 9.9% among those from hospitals. With respect to the risk factors of DVT in SCI patients, no significant association between the DVT prevalence and the gender or the ASIA grades of SCI patients was observed. In conclusion, our meta-analysis reveals that the DVT prevalence rate among SCI patients in Asia or rehabilitation institutes is higher than that among those in non-Asia or hospitals, and neither the gender or the ASIA grades of SCI patients was risk factor for DVT prevalence.
Fitting Covariance Models for Theory Generation

Covariance-based structural equation modeling (CB-SEM) is an increasingly popular technique for analyzing quantitative data in Information Systems research. As such, it is traditionally viewed as a method to test theory, rather than build it. However, many of the theoretical models tested with this technique in IS research show significant differences between the model and the data. This paper shows that as part of the pursuit of model fit, researchers using CB-SEM can provide deeper insights into a phenomenon, allowing us to build theories based on quantitative data.
BLOOD CHEMICAL CHANGES IN BOECK'S SARCOID WITH PARTICULAR REFERENCE TO PROTEIN, CALCIUM AND PHOSPHATASE VALUES.

Definite alterations in the concentration of various chemical constituents of the blood occur in Boeck's sarcoid. This rare disease of unknown etiology is characterized by a marked proliferation of epithelioid cells arranged in the form of tubercles and usually runs a benign course of long duration. The clinical types of the disease, the confusing terminology, the pathological findings, and the theories of its etiology have been discussed in several recent articles (1, 2, 3). These investigators have pointed out that widespread changes can be found in many organs of the body, even though few symptoms arise from the lesions. These reports have emphasized the pathological and etiological aspects of the disease and have largely overlooked the accompanying metabolic changes. It is difficult to find recorded values for even the more common blood chemical determinations. Rarely have determinations of the non-protein nitrogen (1) and cholesterol (4) content of the blood, or attempts to find abnormal proteins in the urine, been recorded. Attention has been called recently (5) to the hyperproteinemia, found in some instances of the disease, due chiefly to a rise in the globulin fraction. No report has been made previously of the variation of the serum protein content of the blood of cases observed over a period of years. No report of other abnormal blood chemical findings has been found in the literature. The discovery of bone cysts in one of the cases which we have studied stimulated interest in this problem. These lesions were adequately described from the clinical and roentgenological standpoint by Jiingling (6) in 1928. Although exhaustive studies of calcium metabolism have been done in instances of hyperparathyroidism presenting bone cysts (osteitis fibrosa cystica), determinations of blood calcium and phosphorus in Boeck's sarcoid have been reported very rarely (1). No determinations of blood phosphatase have been recorded. The use of the calcium tolerance test in the study of the disease has not been reported before. It was thought that the values for normal constituents of the blood obtained over periods of months, and in some instances years, warranted recording because of the rarity of such observations, and that an attempt to correlate the variations with the lesions of the disease would be interesting. It was hoped that the results of calcium tolerance tests and the finding of abnormal proteins in the urine might prove helpful in evaluating the extent of bone lesions.
Interplay between Digital and Physical Environments

In an increasingly connected world where computers are everywhere, surrounding us in embedded small portable devices, appliances and inside buildings, implementing these interconnected and embedded computers have now become common practice in the design of smart spaces and intelligent environments of today. Digital information is constantly being collected and distributed by a network of digital devices communicating with users and vice versa. New behaviors and activities that may have not been considered before in the design of architectural building types are now commonly found in public and private spaces throughout the world. In an attempt to explore and experiment with the concept of interplay between digital and physical environments, an option studio was proposed to 4th year architecture students to develop a new type of augmented architecture that corresponds to changes in human social behavior due to digital technologies. Five pilot projects are presented with experiments conducted to question three social activities commonly found in everyday lives using Arduino prototypes installed in real physical locations. The prototypes were then used as a basis for the development of large-scale projects proposed as augmented architecture.
The biogeography of Miniopterus bats (Chiroptera: Miniopteridae) from the Comoro Archipelago inferred from mitochondrial DNA

The endemic fauna of the Comoro Archipelago is composed of a mixture of taxa originating from Africa and Madagascar. Bats are the only native land dwelling mammals on this archipelago, but the biogeographical origins for the vast majority of species within this group are ambiguous. We report here genetic analyses based on two mitochondrial DNA markers to infer the origin of Comorian bats belonging to a reputed species complex of Miniopterus that is further distributed across Africa and Madagascar. Phylogenetic reconstructions show that east African M. minor are not closely related to the insular Miniopterus of Madagascar and the Comoros (Grande Comore and Anjouan). The latter cluster into two distinct, monophyletic clades (Clade 1 and Clade 2). Representatives of these clades occur sympatrically both on the Comoros and on Madagascar, and are distinguished by a large genetic distance (K2P: 9.9% for cytochrome b). No haplotypes are shared between any islands, suggesting the absence of contemporary gene flow. Populations of the widespread Clade 1 are furthermore characterized by a significant inter‐island structure (ΦCT = 0.249), and by high haplotype and nucleotide diversities (h = 0.90–0.98, π = 0.04–0.06). Demographic analyses of Clade 1 suggest secondary contact between two distinct phylogroups (Subclade 1 A and 1B) that reached Grande Comore and Anjouan, and a large, stable population with a long evolutionary history on Madagascar. These results and the current distribution of related lineages suggest that the Comoros were colonized independently at least two or three times by ancestors from Madagascar.
AtRbohF Contributes to Non-Host Resistance to Magnaporthe oryzae in Arabidopsis

The infection hyphae in pen2 atrbohF plants were significantly longer than those in pen2 plants. The proportion of branched hyphae development in the pen2 atrbohF plants was significantly higher than in the pen2 plants. These results suggest that AtRbohF is probably involved in post-penetration resistance to Magnaporthe oryzae in Arabidopsis.
Carrier to Noise ratio analysis of Radio over Fiber System based on Optical Single Side Band for the effect of noise from electrical filter bandwidth

Carrier to Noise Ratio (CNR) has been investigated for radio over fiber systems including the effects of chromatic dispersion, phase noise due to RF oscillator and electrical filter bandwidth in this paper. Optical Single sideband signal is studied as it has tolerance for power degradation due to dispersion effects over a length of fiber. Investigations have been made out for Radio frequency of 30 GHz, with a continuous wave (CW) laser source of 1550 nm. CNR has been evaluated using Power Spectral Density(PSD) function.CNR is studied for varying electrical receive required filter power to total RF power ratio over 10 km fiber with chromatic dispersion D=17 ps/km nm.
Kinetic Modeling of Low Temperature Water-Gas Shift Reaction using gPROMS

The kinetics of water gas shift reaction was studied over commercial CuO/ZnO/Al2O3 in an integral fixed bed reactor. The experimental data were collected from literature. The CO conversion data in the temperature ranging from 180 oC to 300 oC were used for kinetic modeling. Surface redox and the Langmuir-Hinshelwood models as well as two empirical rate equation models, namely Moe and power law, were proposed to fit the experimental data. Using non-linear programming parameter estimation in gPROMS software, rate expressions were fitted to experimental data. The judgment among models was based on the statistical results. The surface redox mechanism was found to be the best model with apparent activation energy of 11.87 (kJ/mol). Also fitting of empirical models to experimental data showed that power law rate equation has a good fit in partial reaction order of 2.57, 2.02, -0.59 and -3.4 for CO, H2O, CO2 and H2 respectively with activation energy of 39.48 (kJ/mol). Using surface redox kinetic model as well as power law kinetic rate equation, the reactor was simulated to validate the results by comparison of experimental and predicted CO outlet conversion rates. The simulation results validated the model predictions of power law and surface redox models. Keyword: WGSR, Kinetic Parameter Estimation, Cu-based Catalyst, gPROMS