Miracle-dz/UniFAR-FTUs huggingface dataset:
Filtered gradient compressive sensing reconstruction algorithm for sparse and structured measurement matrices

Compressive sensing state-of-the-art proposes random Gaussian and Bernoulli as measurement matrices. Nev- ertheless, often the design of the measurement matrix is subject to physical constraints, and therefore it is frequently not possible that the matrix follows a Gaussian or Bernoulli distribution. Examples of these lim- itations are the structured and sparse matrices of the compressive X-Ray, and compressive spectral imaging systems. A standard algorithm for recovering sparse signals consists in minimizing an objective function that includes a quadratic error term combined with a sparsity-inducing regularization term. This problem can be solved using the iterative algorithms for solving linear inverse problems. This class of methods, which can be viewed as an extension of the classical gradient algorithm, is attractive due to its simplicity. However, current algorithms are slow for getting a high quality image reconstruction because they do not exploit the structured and sparsity characteristics of the compressive measurement matrices. This paper proposes the development of a gradient-based algorithm for compressive sensing reconstruction by including a filtering step that yields improved quality using less iterations. This algorithm modifies the iterative solution such that it forces to converge to a filtered version of the residual AT y, where y is the measurement vector and A is the compressive measurement matrix. We show that the algorithm including the filtering step converges faster than the unfiltered version. We design various filters that are motivated by the structure of AT y. Extensive simulation results using various sparse and structured matrices highlight the relative performance gain over the existing iterative process.
Chronic Suppressive Antibiotic Treatment for Staphylococcal Bone and Joint Implant–Related Infections

Prosthetic joint infection (PJI) and fracture-related infection (FRI) are difficult-to-treat conditions in patients with severe comorbidity or significant surgical risk. In cases not eligible for standard strategy, debridement procedures with the retention of prosthesis or internal fixation device, combined with long-term antibiotic treatment and subsequent indefinite chronic oral antimicrobial suppression (COAS), can be the only reasonable choice. The aim of this study was to investigate the role of COAS and its follow-up in the management of these cases. We retrospectively analyzed a cohort of 16 patients with a follow-up of at least 6 months (mean age 75 yo, 9F, 7M, 11 PJI, 5 FRI). All microbiological isolates were tetracycline-susceptible staphylococci and for this reason a minocycline-based COAS was adopted after debridement and 3 months of antibiogram-guided antibiotic treatment. Patient monitoring was carried out on a clinical basis, with bimonthly execution of the inflammation indices and serial radiolabeled leukocyte scintigraphy (LS). The overall median time of COAS follow-up was 15 months (min 6–max 30). Moreover, 62.5% of patients were still taking COAS with no relapse after cure at the last evaluation available. Clinical failure with a relapse of the infection was observed in 37.5% of patients; interestingly, 50% of them had previously stopped COAS due to side effects of the antibiotic used. In the COAS follow-up, a combination of clinical, laboratory and LS evaluation seems to monitor the infection properly. COAS can be considered as an interesting approach in patients not suitable for standard treatments of PJI or FRI but it requires careful monitoring.
The Wake of St. Vincent

Abstract The island of St. Vincent and the other Windward Islands in the southeastern Caribbean were chosen as a field site for the study of weak mountain wakes. By the authors’ definition, a “weak wake” forms when the potential vorticity generated by a mountain is not strong enough to advect itself into eddies; rather, it is simply advected downstream by the ambient flow. GOES-8 and Landsat sunglint images unambiguously revealed that the mountainous Windward Islands have remarkably long straight wakes. The length of St. Vincent’s wake exceeds 300 km although its width is only 20 km. Near the islands, the wake structures reflect the details of the island topography. These wakes do not exhibit any obvious diurnal effect. Boat surveys in the lee of St. Vincent confirmed the existence of features seen in the images: the sharp wake boundary, the small valley-induced jet embedded in the near wake, and the absence of any reverse flow. Aircraft surveys gave evidence of descent over the island and showed that the.
An Ontology-Based Diabetes Prediction Algorithm Using Naïve Bayes Classifier and Decision Tree

Millions of people have died as a result of uncontrollably rising blood sugar levels throughout the world. This can be a result of a delayed diabetes diagnosis. A lack of a cohesive framework, data imbalance, and inadequate feature selection methods have all contributed to inaccurate information classification. This study proposes a decision-tree- and Naive Bayes-based ontology-based approach for diabetes classification and prediction. Nave Bayes classifiers are used to categorise different types of diabetes. The document query module searches for and displays the documents that the users have requested. This technique will enable better and more accurate diabetes detection and classification.
The Influence of E-WOM on Repurchase Intention with Trust as a Mediating Variable (A Case Study of Wearing Klamby)

AbstractPurpose – This research discusses the influence of E-WOM on Repurchase Intention to Wearing Klamby products. Methodology - The method used is quantitative with Path Analysis for the analysis technique. In the research, the sampling technique used is non-probability sampling, and the non-probability sampling used is the purposive sampling technique. The data used are primary and secondaryFindings - The primary data were obtained by distributing online questionnaires to respondents. The result of this study shows that Trust mediates E-WOM and Repurchase Intention of Wearing Klamby products.Keywords: E-WOM, Trust, Repurchase Intention, Wearing Klamby
Joint Shared-and-Specific Information for Deep Multi-View Clustering

Multi-view data describes an image sample with different modalities of features, thus provides a more comprehensive description of data. Its three basic characteristics, i.e., consensus, complementary and redundancy, determine its performances in computer vision tasks. In this paper, we effectively exploit the above three characteristics to propose a deep learning scheme with joint shared-and-specific information (JSSI) for multi-view clustering. Aiming at facilitating the consensus, JSSI extracts shared information of multi-view data via an adversarial similarity constraint, which is realized by classification and discrimination interactions. Aiming at reducing the redundancy, JSSI separate out view-specific features and prevent them from interfering with the shared features via a difference constraint. Aiming at ensuring the complementary, JSSI aligns the shared features and then concatenates them with the specific features. We examine the effectiveness of JSSI with multi-view clustering on real-world datasets, such as faces and indoor scenes. Extensive experiments and comparisons show that JSSI outperforms other state-of-the-art methods in most of these datasets.
A Feature-Weighted Clustering approach for Context Discovery and Selection of Devices in IoT

Internet of Things (IoT) intended to connect various physical devices in multiple domains to offer high quality ondemand services. In this scope, identification of intended devices is remains a challenge because of heterogeneity and wide distribution. Context plays a significant role to enable provision of adequate services to the users based on their preferences. In addition, the context can help to adapt with the dynamic environment changes. Therefore, the aim of this paper is to address how the context can be discovered from IoT data, and its influence in recommending the IoT devices. For this, a weighted clustering mechanism is applied aiming to discover the informative contexts and recommended the devices to the user based on the context similarity. The proposed model is extensible, independent of domain and taking into account the constraints of the IoT like availability, applicability, etc. Further, this model is validated through a cross validation mechanism which shows accurate prediction of probable contexts.
Generalizations of Some Topological Indices

The Wiener index of a simple graph is defined as the sum of distances between all vertices of the graph. It is well known that the Wiener index of a tree can be obtained as an edge additive quantity where edge contributions are given as the product of the number of vertices closer to each of the two end points of each edge. Thus the distances between vertices are not used for computing the Wiener index of trees. In a similar manner we introduce new topological indices which yields the Wiener, hyper-Wiener, Schultz and modified Schultz indices as special cases for trees. One advantage of this method is that in computing Schultz and modified Schultz of trees we need not take in to account the distances between vertices.
UPSHOT OF SERVICE AND PRICES ON LOYALTY THROUGH SATISFACTION AS INTERVENING VARIABLES (Case study in "PALAPA TOSERBA" SURABAYA)

Abstract. This study is intended to determine the effect of service and price on customer satisfaction and their impact on customer loyalty at "Palapa Toserba" Surabaya. The population used in this study were all consumers in "Palapa Toserba" Surabaya. The sampling technique used is a non-probability sampling technique precisely accidental sampling , which is a sampling technique based on chance, that is, all members of the population who coincidentally meet with the researcher can be sampled in the study. The sample used in this study was 75 respondents. The test tool used is a path analysis technique with the help software SPSS 17.0From the results of the study concluded that: 1). Service has a direct and significant effect on customer loyalty at "Palapa Toserba" Surabaya, 2). Price has a direct and significant effect on customer loyalty at "Palapa Toserba" Surabaya, 3). Service has a direct and significant effect on customer satisfaction at "Palapa Toserba" Surabaya, 4). Price has a direct and significant effect on customer satisfaction at "Palapa Toserba" Surabaya, 5). Customer satisfaction has a direct and significant effect on customer loyalty at "Palapa Toserba" Surabaya, 6). Service has an indirect effect on customer loyalty through customer satisfaction at "Palapa Toserba" Surabaya, 7). Price has an indirect effect on customer loyalty through customer satisfaction at "Palapa Toserba" Surabaya
A Personalised Support Centre for Mathematics in Engineering Adapted to Students' Preferences, Knowledge and Needs

More and more students are reaching higher education courses with deficiencies in terms of mathematical knowledge. These deficits are reflected in various curricular units. In this paper we report the studies that have been developed to solve the problems in Differential and Integral Calculus. Thus, a physical support centre and a virtual platform were created. Students attending the first one were submitted to a specific diagnostic test in order to detect their difficulties and thus to be able to develop appropriate and personalized activities in that centre, under the supervision of a mathematical specialist. At the physical space, students can develop similar activities, but autonomously and without supervision. In this platform, the contents are made available according to the students' learning preferences and their cognitive and affective level. Accessibility aspects were also implemented so that any student with any type of impairment could use the platform.
Design of a Novel and Potent Multi-Epitope Chimeric Vaccine against Human Papillomavirus (HPV): An Immunoinformatics Approach

In the current era, our experience is full of pandemic infectious agents that no longer threaten the major local source but the whole globe. One such infectious agent is HPV, a sexually transmitted disease that can cause various clinical disorders, including benign lesions and cervical cancer. Since available vaccines still need further improvements in order to enhance efficacy, our goal was to design a chimeric vaccine against HPV using an immunoinformatics approach. For designing the vaccine, the sequence of HPV was retrieved, and then phylogenetic analysis was performed. Several CTL epitopes, HTL epitopes, and LBL epitopes were all predicted using bioinformatics tools. After checking the antigenicity, allergenicity, and toxicity scores, the best epitopes were selected for vaccine construction, and then physicochemical and immunological properties were analyzed. Subsequently, vaccine 3D structure prediction, refinement, and validation were performed. Molecular docking and dynamics simulation techniques were used to explore the interactions between the Toll-like receptor 2 and the modeled vaccine construct. To ensure the vaccine protein was expressed at a higher level, the construct was computationally cloned into the pET28a (+) plasmid. The molecular docking and simulation results showed that our designed vaccine is stable, of immunogenic quality, and has considerable solubility. Through in silico immune simulation, it was predicted that the designed polypeptide vaccine construct would trigger both humoral and cellular immune responses. The developed vaccine showed significant affinity for the TLR2 receptor molecule. However, additional laboratory research is required to evaluate its safety and efficacy.
Modified Tracer Gas Injection for Measuring Stream Gas Exchange Velocity in the Presence of Significant Temperature Variation

Gas exchange between streams and overlying air is an important physical‐chemical environmental process that is typically determined by injecting a tracer gas into a stream at a steady rate and sampling steady‐state tracer gas concentrations in the stream water. Previous modes of tracer gas injection allow gas‐water partitioning of the tracer gas, making the rate of gas injection and thus the measured gas transfer velocity potentially sensitive to temperature variation. Presented here is a modification to the tracer solution injection method in which a tracer gas solution was prepared in Tedlar® bags from which all headspace was removed before injecting the solution into the stream. Along with four other strategies to prevent a headspace from forming in the bags during tracer injection in the field, this zero‐headspace tracer solution method prevents gas‐water partitioning anywhere in the injection system, allowing a steady delivery of tracer gas to the stream even in the presence of variation in air and/or stream water temperature. A field test of the method in Nebraska yielded a gas transfer velocity of 4.1 m/day, within the range found in the literature for similarly‐sized streams.
Outage Analysis of MIMO System with TAS under Beaulieu-Xie Fading Channels

This paper investigates the outage performance of a multi-user, multiple-input, multiple-output (MIMO) communication system in small-cell or femtocell scenarios. We employ a transmit antenna selection (TAS) scheme to select the best antenna for transmission and model the wireless channel using Beaulieu-Xie fading channels to account for both Line of Sight (LOS) and diffused power components. We have derived closed-form expressions for the outage probability to analyse system performance under different conditions. Our findings demonstrate that the TAS scheme improves the system’s outage probability performance by effectively reducing the number of antennas in use. We also show that the outage performance is impacted by the number of users, antennas, channel conditions, and the system’s SNR.
MHD MODELING OF THE OUTER HELIOSPHERIC STRUCTURES AROUND THE HELIOPAUSE

Voyager 1 (V1) observed the first step increase of the galactic cosmic ray (GCR) flux for energies >70 MeV and >211 MeV near the heliopause at 2012.31, just before the magnetic field polarity changed from “away” to “toward” at 2012.47. This event was not accompanied by an anomalous cosmic ray (ACR) flux change. The second GCR step increase, together with an ACR decrease, was observed at 2012.65. The magnetic field change was observed with its polarity changing from a “toward” to an apparent “away” direction at 2012.56, at ∼122 AU from the Sun, with an eventual orientation of 22°. The later magnetic field has been identified as the interstellar magnetic field and the current sheet at the polarity change is identified as the boundary of the interstellar magnetic field. We present a three-dimensional stationary MHD simulation with a heliopause located at ∼122 AU and a magnetic field polarity change across the heliopause. The apparent “away” polarity of the magnetic field is confirmed to be that of the interstellar magnetic field in this simulation. We present a detailed analysis of the magnetic field line topology in the vicinity of the heliopause and argue for a favorable condition of the first GCR step increase with no concurrent ACR flux change before the time corresponding to the magnetic polarity change at 2012.47.
Accuracy of Eye and Hair Color Prediction in Mexican Mestizos from Monterrey City Based on ForenSeqTM DNA Signature Prep

Forensic genomic systems allow simultaneously analyzing identity informative (iiSNPs), ancestry informative (aiSNPs), and phenotype informative (piSNPs) genetic markers. Among these kits, the ForenSeq DNA Signature prep (Verogen) analyzes identity STRs and SNPs as well as 24 piSNPs from the HIrisPlex system to predict the hair and eye color. We report herein these 24 piSNPs in 88 samples from Monterrey City (Northeast, Mexico) based on the ForenSeq DNA Signature prep. Phenotypes were predicted by genotype results with both Universal Analysis Software (UAS) and the web tool of the Erasmus Medical Center (EMC). We observed predominantly brown eyes (96.5%) and black hair (75%) phenotypes, whereas blue eyes, and blond and red hair were not observed. Both UAS and EMC showed high performance in eye color prediction (p ≥ 96.6%), but a lower accuracy was observed for hair color prediction. Overall, UAS hair color predictions showed better performance and robustness than those obtained with the EMC web tool (when hair shade is excluded). Although we employed a threshold (p > 70%), we suggest using the EMC enhanced approach to avoid the exclusion of a high number of samples. Finally, although our results are helpful to employ these genomic tools to predict eye color, caution is suggested for hair color prediction in Latin American (admixed) populations such as those studied herein, principally when no black color is predicted.
Fe3O4@Au Core–Shell Magnetic Nanoparticles for the Rapid Analysis of E. coli O157:H7 in an Electrochemical Immunoassay

Escherichia coli (E. coli) O157:H7 is a pathogenic bacterium that causes serious toxic effects in the human gastrointestinal tract. In this paper, a method for its effective analytical control in a milk sample was developed. To perform rapid (1 h) and accurate analysis, monodisperse Fe3O4@Au magnetic nanoparticles were synthesized and used in an electrochemical sandwich-type magnetic immunoassay. Screen-printed carbon electrodes (SPCE) were used as transducers, and electrochemical detection was performed by chronoamperometry using a secondary horseradish peroxidase-labeled antibody and 3,3′,5,5′-tetramethylbenzidine. This magnetic assay was used to determine the E. coli O157:H7 strain in the linear range from 20 to 2 × 106 CFU/mL, with a limit of detection of 20 CFU/mL. The selectivity of the assay was tested using Listeria monocytogenes p60 protein, and the applicability of the assay was assessed by analyzing a commercial milk sample, demonstrating the usefulness of the synthesized nanoparticles in the developed magnetic immunoassay.
Determination of Polycyclic Aromatic Hydrocarbon in Charcoal Beef Steak and Inhibitory Profile of Thyme Oil, Lactic Acid Bacteria and Marinating on their Existence

The main objective of this study was to investigate the extent of accumulation of PAHs in charcoal beef steak in El-Gharbia governorate (Egypt), as well as to reduce the level of contamination after using thyme oil, LABs and marination. A total of 40 random samples of charcoal-grilled beef steaks classified into 10 untreated and 30 treated samples were collected randomly from different markets in El-Gharbia governorate, Egypt. Each sample was wrapped in a plastic bag, in anicebox and transferred to the laboratory then the untreated samples were prepared for detection of 12 polycyclic aromatic hydrocarbons (PAHs) (benzo[a]pyrene; dibenzo [ae] pyrene; dibenzo [al] pyrene; dibenzo [ah] pyrene; dibenzo [ai] pyrene; indeno [1, 2, 3-cd] pyrene; benzo [ghi] perylene; cyclopenta (c, d) pyrene; benzo[a] anthracene; Dibenzo [a, h] anthracene; benzo[b] fluoranthene; chrysene). The treated samples were demonstrated as
A Biopsychosocial Evaluation of Post-Acute Outcome of Patients with Severe Brain Lesions Recovering from Coma: An Exploratory Study

Currently, very little is known about the holistic outcome of patients recovering from coma. The aim of this retrospective exploratory study was to evaluate the outcomes of patients recovering from coma after care in an acute neurorehabilitation unit with particular focus on their biopsychosocial and spiritual needs in the post-acute phase of recovery. We included 12 patients and evaluated clinical outcome evolution by comparing standard neurobehavioral scores from patient files measured in the acute and post-acute phases. We assessed patient needs using the Quality of Life after Brain Injury scale (QOLIBRI) and classified self-reported complaints mentioned in patient files according to the International Classification of Functioning, Disability and Health framework (ICF). Mean patient evolution was a Level of Cognitive Functioning Scale (LCF)-r increase of 3.33 levels (range = 2); a Disability Rating Scale score (DRS) of −3.27 points (SD = 3.78); a Functional Ambulation Classification (FAC) scale score of 1.83 (range = 5); and a Glasgow Outcome Scale (GOS) median = 0 (Interquartile range = 1). Main patient complaints concerned mental functioning (n = 7), sensory functioning and pain (n = 6), neuromusculoskeletal and movement problems (n = 5), and major life areas (n = 5). To conclude, a significant handicap that affects their daily life was present in the post-acute phase in most patients. Complaints involved biopsychosocial and spiritual elements. The neurobehavioral scale results do not necessarily correlate with the subjective representations patients had of their condition.