Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabric Defect Detection Using Salience Metric for Color Dissimilarity and Positional Aggregation

In this paper, inspired by an inherent characteristic of human visual system capable of recognizing salient regions from a complicated scene, we treat a defective region as a salient region in fabric images. A novel fabric defect detection method, which is based on saliency metric for color dissimilarity and positional aggregation, is proposed. In the method, the RGB color space of a given fabric image is first converted into the CIE L*a*b color space for feature representation. Then, the color dissimilarity and the positional distance between similar patches are jointly used to measure the defective values. To improve the contrast between the defective region and the non-defective region, a multi-scale analysis scheme performed on the pyramid images of the input fabric image is applied to calculate the defective values. Finally, the obtained defect map image is further enhanced by a certain threshold regarding to the obtained defective values. Thorough experimental results on several types of fabric images indicate the effectiveness of the newly proposed method.
The outcome of pediatric patients undergoing congenital cardiac surgery under pulsatile cardiopulmonary bypass in different frequencies

Purpose To investigate the influence and possible pathophysiological mechanism of pulsatile cardiopulmonary bypass (CPB) in various frequencies in pediatric patients undergoing congenital cardiac surgery. Patients and methods Clinical data and hemodynamic parameters were collected in 80 patients who underwent congenital cardiac surgeries and were perfused in different settings: pulsatile perfusion (PP) in frequencies of 30 beats/min, PP 60 beats/min, PP 100 beats/min and non-pulsatile perfusion (NP). Serum proteins, plasma-free hemoglobin (PFH), endothelin-1 (ET-1) and nitric oxide (NO) were collected to study possible pathophysiological changes, possible hematological injury and oxidative status under different perfusing conditions. Results Patients in all groups had similar baseline characteristics, aortic cross-clamping time and CPB duration. More effective pulse gradient (PG), energy-equivalent pressure (EEP) and surplus hemodynamic energy (SHE) were observed in pulsatility with lower frequency setting, under which more patients achieved physiologically normal mean arterial pressure (MAP), without the support of inotropic agents during bypass. Significant between-group differences of serum proteins and PFH were absent the whole time during and after bypass, while a relatively lower percentage of perioperative requirement of diuretics was observed in the low frequency pulsatile group. A better performance to oxidative stress was seen in the low frequency group with higher levels of NO and lower concentration of ET-1, and both intergroup differences were found (P<0.01). Satisfactory clinical outcome was obtained on post procedure course in all groups. Conclusion Pulsatile perfusion with low frequency setting in pediatric patients undergoing congenital cardiac surgery showed better hemodynamic profiles, potential protective effects on vital organs, better oxidative status and satisfactory clinical outcome.
Effective Unsupervised Matching of Product Titles with k-Combinations and Permutations

The problem of matching product titles is of particular interest for both users and marketers. The former, frequently search the Web with the aim of comparing prices and characteristics, or obtaining and aggregating information provided by other users. The latter, often require wide knowledge of competitive policies, prices and features to organize a promotional campaign about a group of products. To address this interesting problem, recent studies have attempted to enrich the product titles by exploiting Web search engines. More specifically, these methods suggest that for each product title a query should be submitted. After the results have been collected, the most important words which appear in the results are identified and appended in the titles. In the sequel, each word is assigned an importance score and finally, a similarity measure is applied to identify if two or more titles refer to the same product. Nonetheless, these methods have multiple problems including scalability, slow retrieval of the required additional search results, and lack of flexibility. In this paper, we present a different approach which addresses all these issues and is based on the morphological analysis of the titles of the products. In particular, our method operates in two phases. In the first phase, we compute the combinations of the words of the titles and we record several statistics such as word proximity and frequency values. In the second phase, we use this information to assign a score to each combination. The highest scoring combination is then declared as label of the cluster which contains each product. The experimental evaluation of the algorithm, in a real world dataset, demonstrated that compared to three popular string similarity metrics, our approach achieves up to 36% better matching performance and at least 13 times faster execution.
Relationship between water and salt intake, osmolality, vasopressin, and aldosterone in the regulation of blood pressure

Kanbay and Coll.1 have reported a study showing that the acute ef‐ fect of salt supplementation on blood pressure (BP) increase is de‐ pendent on plasma osmolality and that can be partially prevented by coadministration of water. The regulation of plasma volume is complex and involves many factors interplaying each other, in particular the water‐electrolyte bal‐ ance, osmoreceptors, osmolality, vasopressin, the renin‐angiotensin‐al‐ dosterone system (RAAS), prostaglandins, and natriuretic factors. The physiological equilibrium of these factors is able to keep BP within the normal range through the action of acute compensatory mechanisms. However, genetic/epigenetic and alimentary factors or organic diseases can affect the regulation of these factors leading to sodium and water unbalance or vascular reactions and developing hypertension.2 For example, some people, as the African Americans, are predisposed to sodium retention showing low renin essential hypertension. Even the consumption of foods rich in soy or glutamate can be another cause of volume‐dependent hypertension, as in Asiatic people. The early management of predisposed subjects and the preven‐ tion of acquired factors are therefore necessary to avoid future car‐ diovascular risk.
Research on UI Visual Design of Intangible Cultural Heritage Digital Museum Based on User Experience

With the development of multi-sensory design and digital technology, intangible cultural heritage can be disseminating through the virtual exhibition of digital museum. The establishment of a digital museum system for intangible cultural heritage will help to realize the sharing of intangible cultural resources and promote the full spread of the functions of intangible cultural heritage. Starting with the user's psychological needs and users' characteristics of the non-legacy digital museum, the UI visual level design of the non-legacy digital museum based on user experience is to discuss the cultural psychology, visual perception, and comfort of the user in the process of using the non-legacy digital platform, and discuss the interface layer of the non-legacy digital museum. It mainly focuses on three aspects of visual hierarchy design: color, text, and layout. At the same time, we can use the grid system to create a good visual atmosphere, enabling users to experience better in the visual sense. It makes the design leads to a beautiful user experience through the cultural element display and aesthetic sense of the interface, and guides the user to complete the interaction process. By keeping the usability of the interface, effectively controlling the text, color and image of the interface to ensure it can be used easily. This study tries to create an immersive process for users to get an unforgettable experience.
Cervical Spine Evaluation in Pediatric Trauma: A Review and an Update of Current Concepts

The clinical presentation and diagnostic workup in pediatric cervical spine injuries (CSI) are different from adults owing to the unique anatomy and relative immaturity. The current article reviews the existing literature regarding the uniqueness of these injuries and discusses the current guidelines of radiological evaluation. A PubMed search was conducted using keywords “paediatric cervical spine injuries” or “paediatric cervical spine trauma. ” Six hundred and ninety two articles were available in total. Three hundred and forty three articles were considered for the review after eliminating unrelated and duplicate articles. Further screening was performed and 67 articles (original articles and review articles only) related to pediatric CSI were finally included. All articles were reviewed for details regarding epidemiology, injury patterns, anatomic considerations, clinical, and radiological evaluation protocols. CSIs are the most common level (60%–80%) for pediatric Spinal Injuries (SI). Children suffer from atlantoaxial injuries 2.5 times more often than adults. Children’s unique anatomical features (large head size and highly flexible spine) predispose them to such a peculiar presentation. The role of National Emergency X-Ray Utilization Study, United State (NEXUS) and Canadian Cervical Spine Rule criteria in excluding pediatric cervical injury is questionable but cannot be ruled out completely. The minimum radiological examination includes 2- or 3-view cervical X-rays (anteroposterior, lateral ± open-mouth odontoid views). Additional radiological evaluations, including computerized tomography (CT) and magnetic resonance imaging (MRI) are obtained in situations of abnormal physical examination, abnormal X-rays, inability to obtain adequate X-rays, or to assess cord/soft-tissue status. The clinical criteria for cervical spine injury clearance can generally be applied to children older than 2 years of age. Nevertheless, adequate caution should be exercised before applying these rules in younger children. Initial radiographic investigation should be always adequate plain radiographs of cervical spine. CT and MRI scans should only be performed in an appropriate group of pediatric patients.
Discussion on “A Modular Speed-Drooped System for High Reliability Integrated Modular Motor Drives”

This note studies stability of an integrated modular motor drive (IMMD) under the parallel operation scheme proposed in [1]. The IMMD consists of multiple identical motors, rotors of which are coupled with each other rigidly to collectively drive a common shaft. The objective of the parallel operation is to achieve speed regulation and load torque sharing. According to the experimental result provided, both speed regulation and load torque sharing properties are achieved by the parallel operation scheme. However, the stability analysis of this note reveals that the load torque sharing dynamics of EVIMD is marginally stable under the operation scheme in general. This note further shows that, if appropriately implemented with a common desired speed set -point restorer, the parallel operation scheme ensures stability of the IMMD.
Diabetic Patients’ Knowledge of Their Disease, Therapeutic Goals, and Self-management: Association With Goal Attainment at Dessie Referral Hospital, Ethiopia

Purpose This study aims to assess diabetic patients’ knowledge of their disease, therapeutic goals, self-management, and its association with goal attainment at a hospital in Ethiopia. Methods A prospective cross-sectional study was conducted from February to March 2012 at the diabetic follow-up clinic of Dessie Referral Hospital. Diabetic patients who came for their diabetic follow-up were included consecutively until a calculated sample size of 303 was obtained. Data were collected by face-to-face interview through a pretested structured questionnaire and by medical record review. Binary logistic regression analysis was used to determine predictors of fasting glycemic control. Results Ninety-nine patients (32.7%) had poor knowledge about their disease. The average fasting blood glucose was 226.57 ± 85.86 mg/dL, and only 61 patients (20.1%) achieved the recommended fasting glycemic goal (70-130 mg/dL). Diabetic patients who had poor knowledge were 5.53 times (95% confidence interval [CI]: 1.85, 16.49) more likely to not attain fasting glycemic goal compared to those who had good knowledge. Patients who did not practice self-monitoring of blood glucose were 3.09 times (95% CI: 1.33, 7.21) more likely to not attain fasting glycemic goal than those who practiced. Failure to achieve fasting glycemic goal was 2.43 times (95% CI: 1.15, 5.13) more common among patients who did not regularly exercise as compared to those who did. Patients who did not adhere to their medication were 3.72 times (95% CI: 1.69, 8.20) more likely to fail to achieve fasting glycemic goal compared to those who adhered to their medication. Conclusions Fasting glycemic control was below the recommended standard among the study participants. Glycemic control was poor among patients who had poor knowledge, did not practice self-monitoring of blood glucose, did not participate in regular exercise, and were nonadherent to their medication. This study population had poor knowledge about their disease.
Semi-Analytical Methods for Calculation of Leakage Inductance and Frequency-Dependent Resistance of Windings in Transformers

Leakage inductance and frequency-dependent resistance of windings are the key parameters for the design of magnetic devices. This paper focuses on analytical or semi-analytical calculation techniques to be integrated into a medium frequency transformer optimization process. To this extend, a review of the currently most used method to calculate the inductance and resistance of windings transformer is established. Based on this review, new calculation methods are developed. Magnetic field cartography is evaluated on the basis of 2-D structures thanks to a combination of Ampère’s law and the image method. From this magnetic field map, leakage inductance can be calculated. The obtained accuracy with this method is equivalent to 3-D finite-element modeling (FEM). For frequency-dependent resistance evaluation, new methods based on 2-D or 1-D approach are compared to FEM and reviewed models. An analysis of the behavior of each model is done, showing that newly developed models are more suitable in the case of a medium frequency transformer design in terms of accuracy, robustness, and calculation time. This paper could be useful to the designers of magnetic devices because newly developed models could easily be adapted to various geometries, such as toroidal structures or even inductors.
Set connectivity problems in undirected graphs and the directed steiner network problem

In the <i>generalized connectivity</i> problem, we are given an edge-weighted graph <i>G</i> = (<i>V</i>,<i>E</i>) and a collection <i>D</i> = {(<i>S</i><sub>1</sub>, <i>T</i><sub>1</sub>), …, (<i>S</i><sub><i>k</i></sub>, <i>T</i><sub><i>k</i></sub>)} of distinct <i>demands</i> each demand (<i>S</i><sub><i>i</i></sub>,<i>T</i><sub><i>i</i></sub>) is a pair of disjoint vertex subsets. We say that a subgraph <i>F</i> of <i>G</i> <i>connects</i> a demand (<i>S</i><sub><i>i</i></sub>, <i>T</i><sub><i>i</i></sub>) when it contains a path with one endpoint in <i>S</i><sub><i>i</i></sub> and the other in <i>T</i><sub><i>i</i></sub>. The goal is to identify a minimum weight subgraph that connects all demands in <i>D</i>. Alon et al. (SODA '04) introduced this problem to study online network formation settings and showed that it captures some well-studied problems such as Steiner forest, facility location with nonmetric costs, tree multicast, and group Steiner tree. Obtaining a nontrivial approximation ratio for generalized connectivity was left as an open problem. We describe the first poly-logarithmic approximation algorithm for generalized connectivity that has a performance guarantee of <i>O</i>(log<sup>2</sup> <i>n</i> log<sup>2</sup> <i>k</i>). Here, <i>n</i> is the number of vertices in <i>G</i> and <i>k</i> is the number of demands. We also prove that the cut-covering relaxation of this problem has an <i>O</i>(log<sup>3</sup> <i>n</i> log<sup>2</sup> <i>k</i>) integrality gap. Building upon the results for generalized connectivity, we obtain improved approximation algorithms for two problems that contain generalized connectivity as a special case. For the <i>directed Steiner network</i> problem, we obtain an <i>O</i>(<i>k</i><sup>1/2 + &epsis;</sup>) approximation which improves on the currently best performance guarantee of <i>Õ</i>(<i>k</i><sup>2/3</sup>) due to Charikar et al. (SODA '98). For the <i>set connector</i> problem, recently introduced by Fukunaga and Nagamochi (IPCO '07), we present a poly-logarithmic approximation; this result improves on the previously known ratio which can be Ω(<i>n</i>) in the worst case.
A Noise-Tolerant Temporal-Adaptive Approach for Short-Term Voltage Stability Assessment of Power Systems

Short-term voltage stability (STVS) problem has become more prominent in today’s power systems, and the deployment of phasor measurement units (PMU) opens the way for real-time STVS assessment. The existing approaches for real-time STVS assessment suffer from long observation windows and lack mitigation to the impact of PMU measurement noise. Considering those inadequacies, this paper proposes a noise-tolerant temporal-adaptive STVS assessment approach with the following salient features: 1) the adoption of probabilistic classification enables the early unstable event detection ability, which significantly improves the assessment speed; 2) the probabilistic classifier consists of noisy-tolerant ensemble models that are able to learn the impact of measurement noise, which improves the assessment robustness against measurement noise. The proposed approach is tested on New England 39-bus system, and its fast assessment speed and excellent robustness against measurement noise are verified by comparative studies with existing approaches.
Applications of human action analysis and recognition on wireless network infrastructures: State of the art and real world challenges

Human action recognition and analysis has given life to a wide variety of real-world applications, ranging from surveillance and human-computer interaction to patient monitoring and rehabilitation. Most action recognition systems, especially smart-home or assistive living applications, depend on network infrastructures for easy data fusion and integration of different sensing modalities. However, despite the fact that action recognition methods have extensively been evaluated for their accuracy and there is a consensus on the ways to provide quality of service in various network infrastructures, there is poor coverage of the inherent challenges of performing human action in real world network-based applications. In this work, we attempt to document these challenges based on representative, state of the art techniques and venture to report on the open issues that need to be resolved by new techniques aiming to provide viable real world applications.
Automatic Bengali Document Categorization Based on Word Embedding and Statistical Learning Approaches

The automated categorization of text documents into predetermined categories has witnessed a growing in the last few years, due to the huge availability of documents in digital form and the ensuing need to organize them. Automatic document categorization is the process of assigning one or more categories or classes to a document, making it easier to manipulate and sort. This paper proposes a Bengali document categorization technique based on word2vec word embedding model and stochastic gradient descent (SGD) statistical learning algorithm with multi-class svm. The semantic features of a document are extracting by Word2Vec and SGD improve the classification complexity with multi-class SVM that classify the unlabeled data. The experimental result with 10000 training and 4651 testing documents shows the 93.33% accuracy.
Describing the Endpoint: Consistency Across Protocols, Study Reports, Postings, and Publications

Endpoints are the cornerstone of clinical trial design and are the critical elements for evaluating the success of a clinical study. Endpoints are communicated in clinical protocols, study reports, study registration and result posting sites, as well as publications. It is, therefore, important that endpoints are presented consistently, correctly, and completely. The FDAAA Final Rule expectations of describing endpoints in specific terms provides a way to keep this consistency across all documents.
Dietary Behavior: An Interdisciplinary Conceptual Analysis and Taxonomy

Background: Dietary behavior encompasses many aspects, terms for which are used inconsistently across different disciplines and research traditions. This hampers communication and comparison across disciplines and impedes the development of a cumulative science. We describe the conceptual analysis of the fuzzy umbrella concept “dietary behavior” and present the development of an interdisciplinary taxonomy of dietary behavior. Methods: A four-phase multi-method approach was employed. Input was provided by 76 scholars involved in an international research project focusing on the determinants of dietary behavior. Input was collected from the scholars via an online mind mapping procedure. After structuring, condensing, and categorizing this input into a compact taxonomy, the result was presented to all scholars, discussed extensively, and adapted. A second revision round was then conducted among a core working group. Results: A total of 145 distinct entries were made in the original mind mapping procedure. The subsequent steps allowed us to reduce and condense the taxonomy into a final product consisting of 34 terms organized into three main categories: Food Choice, Eating Behavior, and Dietary Intake/Nutrition. In a live discussion session attended by 50 of the scholars involved in the development of the taxonomy, it was judged to adequately reflect their input and to be a valid and useful starting point for interdisciplinary understanding and collaboration. Conclusion: The current taxonomy can be used as a tool to facilitate understanding and cooperation between different disciplines investigating dietary behavior, which may contribute to a more successful approach to tackling the complex public health challenges faced by the field. The taxonomy need not be viewed as a final product, but can continue to grow in depth and width as additional experts provide their input.
An Active Cell Equalization Technique for Lithium Ion Batteries Based on Inductor Balancing

This paper presents the concept of active cell balancing mechanism for Lithium Ion (Li-ion) batteries for Electrical Vehicles (EV) based on inductor balancing method. It equalizes eight number of cells in a series. Voltage differences always exist between cells, therefore a battery management system (BMS) is required to ensure that all cells are equally charged or discharged and it increases the life cycle of the battery. An equalizing method is essential to achieve the best performance. A number of cell balancing method have been presented. Among them, inductor based balancing is faster compared to other methods such as Switched Capacitor Converter (SCC). The problem of conventional inductor based balancing method occurs when the energy transfers from the first cell to the last one and causes long time equalization, because the energy transfer is cell by cell. An alternative topology is proposed in this paper to improve the equalization time and the simulation results are performed to verify the feasibility of the system.