Miracle-dz/UniFAR-FTUs huggingface dataset:
Power quality analysis using modified S-transform on ARM processor

The extensive usage of non-linear loads and electronic devices has resulted in increased vulnerability to the power quality (PQ) disturbances in the power system. Hence, the analysis of PQ disturbances becomes crucial to maintain the reliability of the distributed generation (DG). This paper presents the analysis of various disturbances like voltage swell, voltage sag, notch, flicker, spike, harmonics, momentary interruption and oscillatory transients by using a signal processing technique i.e. modified Stockwell transform (MST). The technique is employed to provide sufficient time-frequency characteristics and retain the phase information of input to detect the different PQ disturbances. Moreover, the localization of Gaussian window is exploited by providing different scaling parameters which correspond to the linear phase of frequency and provides better resolution. The voltage signal is utilized for the detection of the disturbances at a point of common coupling. The time-frequency features are re-transformed into the time space (original signal) by using the inverse modified S-transform to visualize the different PQ disturbances in real-time. In this study, the methodology is implemented on commercially available ARM (Advanced RISC Machine) processor due to its features such low cost and low power consumption for real-time power quality analysis.
Growth Characteristics of Human Colorectal and Non-Small Cell Lung Tumors Xenografted into Nude Mice: Possible Correlation with Prognosis

Specimens from human colorectal tumors and from non-small-cell lung tumors obtained at surgery were subcutaneously implanted as xenografts in athymic Swiss mice of both sexes to investigate to what extent the properties of the original tumors were maintained. A successful take was obtained in 5 of 9 colorectal tumor and 6 of 11 non-small-celll lung tumor xenografts. Moreover, 44% and 45% of the respective tumors could be established as tumor lines. Neither metastases nor local tumor invasion was observed in tumor-bearing mice. Seven of 9 serially transplantable tumors had a short latency period (14-30.5 days) when first xeno-grafted. No significant changes in tumor histopathology were noted after growth into nude mice. Tumor take was partially related to clinical stage and prognosis of patients. In fact, 8 of 12 specimens from NO patients failed to grow, whereas 7 of 8 tumors from patients with nodal invasion and/or metastasis grew in nude mice. Moreover, for the group of patients whose tumor was « take – », the one-year survival was 85%, compared to 40% for the « take + » group (p < 0.05).
Protective Effects of Sheng-Mai-San on Right Ventricular Dysfunction during Chronic Intermittent Hypoxia in Mice

Right ventricular (RV) dysfunction and failure contribute to the increasing morbidity and mortality of cardiovascular diseases; however, current treatment strategies are grossly inadequate. Sheng-Mai-San (SMS) has been used to treat heart diseases for hundreds of years in China, and its protective effects on RV have not been observed. The present study was to investigate the protective effects of SMS aqueous extract on RV dysfunction in chronic intermittent hypoxia (CIH) mice model. The results showed that CIH mice model presented RV dysfunction and maladaptive compensation after 28-day-CIH and SMS treatment significantly reversed these changes. Diastolic function of RV was restored and systolic dysfunction was attenuated, including elevation of RV stroke volume and fractional shortening, as well as pulmonary circulation. Structurally, SMS treatment inhibited RV dilation, cardiomyocytes vacuolization, ultrastructure abnormalities, and the expression of cleaved caspase-3. Of importance, SMS showed remarkable antioxidant activity by decreasing the levels of malondialdehyde (MDA) and 4-hydroxynonenal (4-HNE), increasing the levels of superoxide dismutase (SOD) and heme oxygenase-1 (HO-1), as well as inhibiting the overexpression of 3-NT in RV. Our results indicate that SMS preserve RV structure and function in CIH-exposed mice by involving regulation in both ROS and Reactive Nitrogen Species (RNS) production.
Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing.

BACKGROUND Current measurement of the single longest dimension of a polyp is subjective and has variations among radiologists. Our purpose was to develop a computerized measurement of polyp volume in computed tomography colonography (CTC). METHODS We developed a 3D automated scheme for measuring polyp volume at CTC. Our scheme consisted of segmentation of colon wall to confine polyp segmentation to the colon wall, extraction of a highly polyp-like seed region based on the Hessian matrix, a 3D volume growing technique under the minimum surface expansion criterion for segmentation of polyps, and sub-voxel refinement and surface smoothing for obtaining a smooth polyp surface. Our database consisted of 30 polyp views (15 polyps) in CTC scans from 13 patients. Each patient was scanned in the supine and prone positions. Polyp sizes measured in optical colonoscopy (OC) ranged from 6-18 mm with a mean of 10 mm. A radiologist outlined polyps in each slice and calculated volumes by summation of volumes in each slice. The measurement study was repeated 3 times at least 1 week apart for minimizing a memory effect bias. We used the mean volume of the three studies as "gold standard". RESULTS Our measurement scheme yielded a mean polyp volume of 0.38 cc (range, 0.15-1.24 cc), whereas a mean "gold standard" manual volume was 0.40 cc (range, 0.15-1.08 cc). The "gold-standard" manual and computer volumetric reached excellent agreement (intra-class correlation coefficient =0.80), with no statistically significant difference [P (F≤f) =0.42]. CONCLUSIONS We developed an automated scheme for measuring polyp volume at CTC based on Hessian matrix-based shape extraction and volume growing. Polyp volumes obtained by our automated scheme agreed excellently with "gold standard" manual volumes. Our fully automated scheme can efficiently provide accurate polyp volumes for radiologists; thus, it would help radiologists improve the accuracy and efficiency of polyp volume measurements in CTC.
Principal Local Binary Patterns for Face Representation and Recognition

Based on fitting the Local Binary Patterns (LBP) histogram into the bag-of-words paradigm, we propose an LBP variant termed Principal Local Binary Patterns (PLBP) which are learned in an unsupervised way from the data. The learning problem turns out to be the same as the Principal Component Analysis (PCA) and thus can be solved very efficiently. Unlike the manually specified patterns in LBP which distribute very non-uniformly, the learned patterns in PLBP can adapt with the distribution of the data so that they distribute very uniformly, which preserves more information than LBP in the binary coding process. Moreover, PLBP can take advantage of much larger neighborhood than LBP to describe the point, which provides more information. Therefore, PLBP contains more information than LBP to discriminate different classes. The experimental results of face recognition on the FERET and LFW datasets clearly confirm the discrimination power and robustness of PLBP. It achieves very competing performance on both datasets and it is very simple and efficient to compute.
Angelic Environment : Support for the Construction of Legal KBS

This paper describes a development environment for the Angelic Methodology. The environment comprises a database to store the domain theory produced by the methodology, together with an extensible set of tools which display and use the stored knowledge to support development, verification, and refinement. The environment is described and illustrated by using it to capture an analysis of the widely studied domain of property law relating to the pursuit of wild animals. The implementation we present provides an important step in moving a formal model of argument towards a tool that can be used in practice and tailored to a domain as needed, and which paves the way for widespread application of the fruits of AI and Law research to legal practice.
ErbB‐receptors expression and survival in breast carcinoma: A 15‐year follow‐up study

Aberrant expression of the epidermal growth factor receptor family has been implicated in the pathogenesis and progression of breast cancer and associated with poor prognosis. To evaluate the prognostic impact of the ErbB receptors expression profile, we analyzed a well‐characterized series of 145 primary breast carcinomas for the simultaneous expression of epidermal growth factor receptor (EGFR/HER‐1), ErbB‐2 (HER‐2), ErbB‐3 (HER‐3), and ErbB‐4 (HER‐4), using immunohistochemistry. Tumors were considered negative or positive for each marker when less than or more than 25% of the cancer cells were immunopositive. Expression of EGFR, ErbB‐2, ErbB‐3, and ErbB‐4 was observed in 31 (21.4%), 65 (44.8%), 72 (49.7%), and 81 (55.9%) of the cases, respectively. There were significant associations between EGFR expression and pT status (P = 0.01), and between ErbB‐3 expression and pN (P = 0.003), menopausal (P = 0.01) and PR (P < 0.001) status. The majority of the cases co‐expressed two or more receptors. ErbB‐3 resulted positive in 51/81 (63.0%) of the ErbB‐4 positive cases and ErbB‐3/ErbB‐4 co‐expression was statistically significant (P = 0.0003). As expected, ErbB‐2 expression was associated with reduced overall survival at 15 years of follow‐up (P = 0.04), even after adjusting for a series of other prognostic factors (P = 0.05). Moreover, cumulative analysis of ErbB‐2/3/4 expression showed a strong positive association between higher total ErbB‐2/3/4 expression score and worse prognosis (P = 0.002). The simultaneous expression in cancer cells of more than one ErbB receptor identifies a subset of breast cancer patients at high risk for poor survival. J.Cell. Physiol. © 2005 Wiley‐Liss, Inc.
γδT‐cell function in sepsis is modulated by C5a receptor signalling

We previously showed that γδT cells are involved in the pathogenesis of sepsis, but, the underlying mechanisms remained unclear. The present study demonstrates, for the first time, that γδT cells express the complement C5a receptor (C5aR, CD88) and that CD88 expression in γδT cells was up‐regulated in mice following sepsis both at protein and mRNA levels. Complement C5a itself contributed to the regulation of C5aR expression on γδT cells, as (i) neutralization of C5a in vivo prevented the expression of C5aR on γδT cells in septic mice and (ii) incubation of mouse spleen cells or purified γδT cells with recombinant C5a in vitro increased CD88 expression by γδT cells at both protein and mRNA levels. C5a receptor on γδT cells also mediates increased interleukin‐17 (IL‐17) expression as incubation of mouse spleen cells or purified γδT cells with recombinant C5a promotes the IL‐17 expression by γδT cells. Ligation of the C5aR on γδT cells activated the phosphoinositide 3‐kinase (PI3K)/Akt signalling pathway, which enhances CD88 expression and promotes IL‐17 secretion. These results demonstrate that C5a acts directly on the C5aR expressed on γδT cells, resulting in cell activation, and subsequently enhances their capacity for IL‐17 production. The up‐regulation of the PI3K/Akt pathway following C5a stimulation contributes to up‐regulation of γδT‐cell function.
Prevention of thrombosis during pregnancy.

Anticoagulant therapy is indicated for many conditions involving the cardiovascular system, such as deep vein thrombosis and chronic atrial fibrillation, and for thrombosis prophylaxis in patients with mechanical heart valves. For rheumatologists and general practitioners, interest in anticoagulant therapy arose following the description of the antiphospholipid syndrome, also known as Hughes' syndrome. In APS, in addition to arterial and venous thromboembolic complications, without other identifiable causes of thrombophilia, obstetric complications may also occur. These include recurrent fetal losses, premature deliveries and consecutive early abortions, when anatomic and chromosomal causes are excluded [1]. These manifestations of APS can be avoided when full oral anticoagulation is maintained for life. Anticoagulation during pregnancy remains a controversial subject. Oral anticoagulants cross the placenta freely and may have teratogenic effects (if used in the embryonic period) and fetal hemorrhages (when used close to delivery). Heparin has a better safety profile but is less efficacious. In this review of the literature on anticoagulation during pregnancy and through analysis of the experience with this therapy in other conditions, we suggest a reevaluation of the present obstetric management of APS.
SketchTab3d: A Hybrid Sketch Library using Tablets and Immersive 3D Environments

This paper proposes a 2d sketching tool and an immersive 3d sketch library as an approach to easily create and access documents (i.e. sketches). The sketch library allows users to store, arrange and assemble their own sketches and others' in theoretically unlimited space. A user can get an idea about the general activities of all users since the sketch library is updated whenever changes are made. The system provides 2d and 3d means to access the sketch library. Whereas the 2d interfaces offers a standard dash board, the 3d environment provides unrestricted spatial access to the sketch library. Furthermore, a 2d sketching interfaces is provided in order to create sketch-based documents. Possible application areas are in the fields of engineering, design, public displays, shared knowledge applications, and art. The system was evaluated among eight participants regarding its pragmatic and hedonic qualities as well as searching performance. The results suggest that the users appreciate the particular combination of 2d and 3d technologies in SketchTab3d and requested for improvement in the 3d interaction technique. No significant differences were found in the search performance, however the physical demand during searching was perceived significantly higher in the 3d condition than in the 2d condition.
Learning Recency and Inferring Associations in Location Based Social Network for Emotion Induced Point-of-Interest Recommendation

The rapid research on the traditional recommender systems has proved the usefulness of the decision support tools on various real-time applications. In the recent years, hybrid recommendation models have become more popular due to its increased efficiency to manage the information overload problem. The context-aware location recommendations based on user's emotions improves the user satisfaction levels, but still the emotion based recommendation models are not explored completely due to the real-time issues in the acquisition of the user's emotions. This article presents an effective recommendation model for the location recommendation through exploiting the emotion of the user from online social media. In the proposed model, User, Point-Of-Interest and User’s Emotion during travel are the three main factors taken into consideration to generate recommendations. The proposed location recommendation models correlate the positive and negative impact of the user's emotions to generate the list of user relevant locations. The developed models are evaluated on the large-scale real world datasets and obtained results were compared with the existing baseline models. The presented results prove the improved efficiency and accuracy of the proposed location recommender system through validation by standard evaluation metrics.
Direct Regulation of Myelin Protein Zero Expression by the Egr2 Transactivator*

During myelination of the peripheral nervous system, the myelin protein zero (Mpz) gene is induced to produce the most abundant protein component (P0) of mature myelin. Although the basal embryonic expression of Mpz in Schwann cells has been attributed to regulation by Sox10, the molecular mechanism for the profound up-regulation of this gene during myelination has not been established. In this study, we have identified a highly conserved element within the first intron of the Mpz gene, which contains binding sites for the early growth response 2 (Egr2/Krox20) transcription factor, a critical regulator of peripheral nerve myelination. Egr2 can transactivate the intron element, and the induction is blocked by two known repressors of Egr2 activity. Using chromatin immunoprecipitation assays, we find that Egr2 binds in vivo to the intron element, but not to the Mpz promoter. Known inducers of Mpz expression such as forskolin and insulin-like growth factor-1 also activate the element in an Egr2-dependent manner. In addition, we found that Egr2 can act synergistically with Sox10 to activate this intron element, suggesting a model in which cooperative interactions between Egr2 and Sox10 mediate a large increase in Mpz expression to the high levels found in myelinating Schwann cells.
Blockade of the renin-angiotensin system.

HISTORICAL OVERVIEW Milestones in understanding the renin-angiotensin system (RAS) until the development of angiotensin II antagonists are described briefly. Sites at which the RAS might be blocked are outlined. PEPTIDE ANALOGUE ANTAGONISTS OF ANGIOTENSIN II RECEPTORS Saralasin-like compounds were used in numerous experimental and clinical situations and clarified the role of the RAS. Some of these situations are described (e.g. hypertension and cardiac failure) particularly in regard to the control of arterial pressure and aldosterone secretion by the RAS. Saralasin and its analogues allowed visualization, for the first time, of complete angiotensin II/effector (especially blood pressure) dose-response curves. ANGIOTENSIN CONVERTING ENZYME (ACE) INHIBITORS The clinical usefulness of ACE inhibitors in hypertension, cardiac failure, diabetes mellitus and after acute myocardial infarction is emphasized. In particular, ACE inhibitors have actions beyond blockade of angiotensin II formation, necessitating cautious interpretation of data from their use. RENIN INHIBITORS Experience with renin inhibitors in documenting and confirming the role of the RAS is outlined. NON-PEPTIDE ANGIOTENSIN II RECEPTOR ANTAGONISTS: Characteristics of losartan-like compounds are discussed in brief, and the results of their limited use in clinical medicine are outlined. CONCLUSION Blocking agents have led to great advances in knowledge of the RAS and its physiological and pathophysiological functions. ACE inhibitors are used regularly in a number of clinical disorders and, in theory, have therapeutic potential beyond alternative antihypertensive drugs in the prevention of cardiovascular complications in essential hypertension. The place of renin inhibitors and angiotensin II receptor antagonists in clinical practice, however, remains to be determined.
Disambiguation of Greek Polysemous Words Using Hierarchical Probabilistic Networks and a Chi-Square Feature Selection Strategy

In this paper, we present a robust classification technique to disambiguate Greek polysemous words based on hierarchical probabilistic networks. Assuming that the linguistic data of a polysemous word is classified to equivalent classes according to the number of its senses, we try to disambiguate them by using a hierarchical mixture of experts' probabilistic model — a soft version of neural networks that permits overlapping between classes and which is successfully applied in classification tasks. The model is used in combination with an effective feature selection strategy based on a Chi-square test that enhances disambiguation performance. Due to the absence of previous similar work on Greek linguistic data, for comparison we also implement and apply the very popular naive Bayes classifier to the same data. Comparing the two systems, we find that the Hierarchical Mixtures-of-Experts (HME) model is superior to the naive Bayes classifier, mainly because of its ability to permit overlapping and the capture of non-linearity among the data. We believe that the system can be successfully applied on real linguistic data after training on a small amount of data.
Evaluation of the Alere Pima™ for CD4+ T lymphocytes counts in HIV-positive outpatients in Southern Brazil

CD4 + lymphocyte counts are routinely ordered during the early phases of antiretroviral therapy and for prophylaxis of opportunistic infections in HIV-positive patients. Flow cytometry is the standard methodology for CD4 counts in Brazilian reference laboratories. However, these laboratories are located in large cities, frequently distant from patients, thus limiting patient access and delaying results. We compared a point-of-care test with flow cytometry determination of CD4+ T lymphocyte counts in HIV patients. We analysed 107 consecutive samples by both methods. Overall, the point-of-care test performed well, with excellent agreement between it and the standard method. Test results were concordant for patients with CD4+ T lymphocyte values above and below 200 cells/mm 3. The performance characteristics obtained were sensitivity 94% (95% CI 89.5–98.5%), specificity 93% (95% CI 88.2–97.8%), positive predictive value 86% (95% CI 79.4–92.6%), and negative predictive value 97% (95% CI 94–100%). The high sensitivity and specificity of the point-of-care test methodology suggest its utility as an alternative method for rapid measurement of CD4+ T lymphocytes in patients with limited access to reference laboratories, enabling prompt therapeutic intervention for patients at risk of progression to AIDS.
The simulant discrimination between self and non-self by using strings

The natural immune system has evolved many interesting mechanisms to solve complex engineering tasks. An ongoing research on the metaphor between the immune system and the host-based intrusion detection is reported. The primary investigation focuses on the simulation of the discrimination between self-behaviors and non-self behaviors by using strings in this paper. The experiment results demonstrate that it is possible to discriminate the dangerous behaviors from others by using sequences of system calls. This work is a part of a research program aiming at building computer security systems that incorporate the mechanisms and algorithms used by natural immune systems.
Dietary Salt Regulates Renal SGK1 Abundance: Relevance to Salt Sensitivity in the Dahl Rat

Abstract—Serum and glucocorticoid-induced kinase 1 (SGK1) activates the epithelial sodium channel (eNaC) in tubules. We examined renal SGK1 abundance in salt-adaptation and in salt-sensitive hypertension. Sprague-Dawley and Dahl salt-sensitive rats were placed on either 8% or 0.3% NaCl diets for 10 days. Plasma aldosterone levels were ≈2.5-fold greater on 0.3% versus 8% NaCl diets in both rat strains. Both serum and glucocorticoid-induced kinase 1 transcript and protein abundance were less (P <0.01) in Sprague-Dawley rats and greater (P <0.01) in Dahl salt-sensitive rats on 8% versus 0.3% NaCl diets. The cDNA sequences of serum and glucocorticoid-induced kinase 1 in both strains of rat were the same. The present results provide evidence that the abundance of serum and glucocorticoid-induced kinase 1 in rat kidney may play a role in salt adaptation and the pathogenesis of hypertension and suggests that aldosterone is not the primary inducer of SGK1 in the Sprague-Dawley rat.
Visual features representation and classification of images collected by probes and sensors of street based on deep learning networks

To collect various data, millions of probes and sensors mounted on a Google and Baidu street view vehicles, 360-degree view and GPS location. From millions of street sensors, image data of GB level is transmitted back per second. It is an important research topic to classify and identify images quickly. The experimental results yielded a 23% error rate of recognition on images collected by probes and sensors of Street. Compared to traditional methods, there is indeed a positive advantage.