Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining Model-Based and Discriminative Approaches in a Modular Two-stage Classification System: Application to isolated Handwritten Digit Recognition

The motivation of this work is based on two key observations. First, the classification algorithms can be separated into two main categories: discriminative and model-based approaches. Second, two types of patterns can generate problems: ambiguous patterns and outliers. While, the first approach tries to minimize the first type of error, but cannot deal effectively with outliers, the second approach, which is based on the development of a model for each class, make the outlier detection possible, but are not sufficiently discriminant. Thus, we propose to combine these two different approaches in a modular two-stage classification system embedded in a probabilistic framework. In the first stage we pre-estimate the posterior probabilities with a model-based approach and we re-estimate only the highest probabilities with appropriate Support Vector Classifiers (SVC) in the second stage. Another advantage of this combination is to reduce the principal burden of SVC, the processing time necessary to make a decision and to open the way to use SVC in classification problem with a large number of classes. Finally, the first experiments on the benchmark database MNIST have shown that our dynamic classification process allows to maintain the accuracy of SVCs, while decreasing complexity by a factor 8.7 and making the outlier rejection available.
Antimicrobial susceptibility pattern of extended-spectrum β-lactamase-producing bacteria causing nosocomial urinary tract infections in an Iranian referral teaching hospital

Objective: Gram-negative bacilli are the most important cause of nosocomial urinary tract infections (UTIs). The production of extended-spectrum β-lactamase (ESBL) enzymes is a common mechanism of resistance among these bacteria. The aim of this study was to determine the rate of ESBL producing Gram-negative bacteria causing nosocomial UTI in a referral hospital as well as their susceptibility pattern to the most commonly used antibiotics. Methods: In a prospective cross-sectional study performed over a 6-month period, urinary specimens obtained from hospitalized patients with documented culture-proved nosocomial UTI (age range of 1-87 years). Isolated aerobic Gram-negative bacteria underwent further microbiologic tests for detection of ESBL, as well as antimicrobial susceptibility test using Kirby-Bauer (disk diffusion) and E-test methods. Findings: During the study period, 213 urine samples were detected to have growth of Gram-negative organism. Escherichia coli was the most frequently isolated organism (61%). ESBL was detected in 102 isolates including 38.5% of E. coli, 39.5% of Klebsiella pneumonia, 88.5% of Pseudomonas aeruginosa, and 100% of Acinetobacter baumannii strains. Imipenem and meropenem were the most effective antibiotics on E. coli and K. pneumoniae strains. P. aeruginosa and A. baumannii strains showed high resistance to all tested antibiotics. Conclusion: Large numbers of Gram-negative bacteria causing nosocomial UTIs produce ESBL with most being multidrug-resistant. Therefore, routine ESBL detection testing and subsequent antibiogram with disk diffusion method could be useful to determine the best treatment options for UTI.
Objective assessment of the influence of the parental presence on the fear and behavior of anxious children during their first restorative dental visit

Aims and Objectives: Parents play an important role in the dental behavior of a child patient. This study aimed to assess the effect of parental presence on the behavior of the child and objectively measure the behavior using pulse oximetry. Materials and Methods: The study was registered with the clinical trials registry of the National Institutes of Health (NCT02619981). The children were divided into three groups, those who had no accompanying parent, those accompanied by their fathers, and those accompanied by their mothers. The Venham anxiety and behavior scores were used for subjective measurements whereas the objective measurement of fear was done by measuring the heart rate using a portable pulse oximeter at six critical clinical situations. Statistical analysis was carried out using the Statistical Package for the Social Sciences version 21 (IBM corp. Armonk, NY, USA). Results: One hundred and twenty two children aged between 6 years and 8 years completed the study. Most of the children accompanied by fathers were males while most of the children accompanied by their mother were females. It was seen that females showed a higher mean heart rate than males at all steps. Children who had their parents outside the operatory exhibited lower anxiety and behavior scores than those whose parents were present; however, they showed a significantly higher pulse rate at all procedures. Boys had higher anxiety and behavior scores than girls, however, these differences were not statistically significant. Conclusion: The results of this study suggest that the presence of the parent in the operatory reduces the physiological manifestations of anxiety in children in their first restorative dental visit.
Genetic Literacy of Undergraduate Non–Science Majors and the Impact of Introductory Biology and Genetics Courses

ABSTRACT With the advancement of genetic information and technologies, there is an increasing need for a genetically literate public. This study looks critically at student learning and at the current instruction of genetics in introductory non–science major biology and genetics courses at the undergraduate level. A new diagnostic tool, the Genetic Literacy Assessment Instrument, was administered pre- and postcourse to more than 300 students in six introductory nonmajor courses that emphasize genetics to varying degrees. Current data from students in these courses show a precourse average score of 43 percent correct zn the inventory. Postcourse scores increased only modestly, to an average of 49 percent. In this article, we discuss the impact of teaching methods and course content on scores, as well as student learning in the different content areas of genetics. The results suggest that further studies in genetics education are needed to better understand the effect of teaching methods on achieving genetic literacy.
Historical Review and Recent Advances in Neonatal and Perinatal Medicine

My immediate reaction when asked to present a history of hyaline membrane disease (HMD) was that I was too young for such a task! Upon reflection, I concluded that this was not true. As a medical student in the late fifties, I recall the numerous theories proposed for the pathogenesis of the disease. Later (about 20 years ago), I prepared a talk on HMD while a house officer at Hopkins. Fibrinolysin deficiency and surfactant deficiency were the two new and favorite theories of the day and, with the passage of time, the former has slipped into well deserved oblivion. Treatment was of course extremely primitive in those days but Bob Usher had begun to make systematic biochemical measurements and the "Usher Regime" was the approach of the day. [1,2] How rapidly we have progressed since then! With the exciting new possiblity of both prevention or replacement therapy for HMD the future looks promising.
A Survey on Sensor Networks from a Multiagent Perspective

Sensor networks (SNs) have arisen as one of the most promising technologies for the next decades. The recent emergence of small and inexpensive sensors based upon microelectromechanical systems ease the development and proliferation of this kind of networks in a wide range of actual-world applications. Multiagent systems (MAS) have been identified as one of the most suitable technologies to contribute to the deployment of SNs that exhibit flexibility, robustness and autonomy. The purpose of this survey is 2-fold. On the one hand, we review the most relevant contributions of agent technologies to this emerging application domain. On the other hand, we identify the challenges that researchers must address to establish MAS as the key enabling technology for SNs.
Aprotinin Improves Functional Outcome but Not Cerebral Infarct Size in an Experimental Model of Stroke During Cardiopulmonary Bypass

BACKGROUND: Aprotinin, a nonspecific serine protease inhibitor, has been used to decrease bleeding and reduce the systemic inflammatory response after cardiopulmonary bypass (CPB). Studies have variably linked aprotinin administration with both improved as well as adverse cerebral consequences after cardiac surgery. We designed this study to determine whether an antiinflammatory dose of aprotinin could improve the histologic and functional neurologic outcome in a rat model of focal cerebral ischemia during CPB. METHODS: After surgical preparation, the animals were randomized into 2 groups: an aprotinin group (60,000 kIU/kg IV) and a control group (0.9% NaCl IV). Normothermic CPB was performed for 60 minutes during which time a partial overlapping 60 minutes of right middle cerebral artery occlusion was induced. Cytokines (tumor necrosis factor-&agr;, interleukin [IL]-1&bgr;, IL-6, and IL-10) were measured at baseline, the end of CPB, then 2 and 24 hours after CPB. On postoperative day 3, the animals underwent functional neurologic testing and histologic assessment of cerebral infarct volume. RESULTS: There was a reduction in systemic inflammation in the aprotinin group compared with the control group, demonstrated by lower levels of IL-1&bgr; (P = 0.035) and IL-6 (P = 0.047). The aprotinin group also had a better functional neurologic performance (median [interquartile range]: aprotinin 27 [8] vs control 32 [6]; P = 0.042). However, there was no difference in cerebral infarct volume (aprotinin 306 [27] mm3 vs control 297 [52] mm3; P = 0.599). CONCLUSIONS: In this experimental model of stroke occurring during CPB, aprotinin decreased the systemic inflammatory response to CPB. Although there was no difference in the cerebral infarct volume, there was a small improvement in the short-term functional neurologic outcome in the aprotinin group.
Text vs visual metaphor in mobile interfaces for novice user interaction

This paper explores the effectiveness, efficiency and ease of use of two alternative interface interactions in a mobile tablet application. More specifically, the study employs a navigation task which novice users were required to complete by means of two types of main menu button, one utilizing text and the other utilizing a visual metaphor. Furthermore, little evidence exists on the effect of the use of metaphor on users of various ages and levels of computer experience. Our results show that young users prefer buttons that display a visual metaphor in the form of an icon, in contrast to older participants, who preferred the button that employed text. They also show that the users' performance is dependent upon age.
Cellulase Production from Spent Lignocellulose Hydrolysates by Recombinant Aspergillus niger

ABSTRACT A recombinant Aspergillus niger strain expressing the Hypocrea jecorina endoglucanase Cel7B was grown on spent hydrolysates (stillage) from sugarcane bagasse and spruce wood. The spent hydrolysates served as excellent growth media for the Cel7B-producing strain, A. niger D15[egI], which displayed higher endoglucanase activities in the spent hydrolysates than in standard medium with a comparable monosaccharide content (e.g., 2,100 nkat/ml in spent bagasse hydrolysate compared to 480 nkat/ml in standard glucose-based medium). In addition, A. niger D15[egI] was also able to consume or convert other lignocellulose-derived compounds, such as acetic acid, furan aldehydes, and phenolic compounds, which are recognized as inhibitors of yeast during ethanolic fermentation. The results indicate that enzymes can be produced from the stillage stream as a high-value coproduct in second-generation bioethanol plants in a way that also facilitates recirculation of process water.
Functional activities of mutant calcium-sensing receptors determine clinical presentations in patients with autosomal dominant hypocalcemia.

OBJECTIVE Autosomal dominant hypocalcemia (ADH) is a congenital isolated hypoparathyroidism caused by activating mutations in the calcium-sensing receptor (CASR) gene. The clinical features of ADH are heterogeneous; some patients are asymptomatic, and others show severe hypocalcemia with Bartter's syndrome. We therefore recruited 12 patients with ADH to clarify the determinants of their clinical presentation. DESIGN AND METHODS We studied two sporadic and 10 familial cases of ADH. Serum concentrations of calcium, intact PTH, and magnesium (Mg(2+)) were measured in each patient. Fractional excretion of Mg (FE(Mg)) was calculated in spot urine samples. A nuclear factor of activated T cells luciferase assay was used to analyze the responsiveness of each mutant CaSR to extracellular Ca(2+). RESULTS Genomic analysis revealed five known activating mutations and a novel mutation, E481K, in the CASR. Patients with the A843E, C131W, or F788C mutation showed hypomagnesemia with elevated FE(Mg). Intact PTH in these patients was consistently near the detection limit. In contrast, patients with the P221L, K47N, or E481K mutation exhibited normal Mg(2+) levels. In these patients, intact PTH increased in response to low calcium, and their maximum intact PTH exceeded the lower limit of the reference range. Functional analysis showed an association between the disease severity and the in vitro activity of the mutant CaSR. CONCLUSIONS The functional activity of mutant CaSR determines the serum Mg(2+) level, renal Mg(2+) handling, and intact PTH in patients with ADH. The presence of hypomagnesemia with elevated FE(Mg) may indicate the diagnosis of ADH among patients with PTH-deficient hypoparathyroidism.
Low Temperature Thin-Film Silicon Solar Cells on Flexible Plastic Substrates

Providing energy for a steadily increasing world population is one of the major tasks of our time. Solar energy has the ability to satisfy this demand in a clean, sustainable and environmentally friendly manner. Though solar module prices have fallen considerably within the last years, costs need to be further reduced to achieve comprehensive gridparity. A possible approach for reduced module costs is provided by thin-film technologies and the use of low cost polymer substrates. In addition, this research field offers the opportunity to provide flexible and lightweight solar modules, gaining increasing attention for applications in building integrated photovoltaics, flexible electronics and mobile power applications. Roll-to-roll manufacturing in turn provides an additional tool for possible cost reductions by high-throughput production. The use of low cost transparent plastic films enables to produce solar cells in the socalled superstrate concept, where sunlight enters through the substrate. However, these types of substrates limit the applicable process temperature range. The aim of this thesis is to investigate the influence of low deposition temperatures (120 C) on the properties of functional layers and to establish a link between material properties and the performance of thin-film silicon solar cells on plastic substrates. This work demonstrates that the deterioration in electrical properties of amorphous silicon (a-Si:H) layers, due to a lower deposition temperature, can be compensated by careful adjustment of deposition gas flow mixtures, resulting in an efficiency of 9.1% for an a-Si:H solar cell on glass substrate. Microcrystalline silicon (μc-Si:H) layers are less sensitive to a reduction in deposition temperature and by implementation in an a-Si:H/μc-Si:H tandem solar cell, an efficiency of 9.8% was achieved with great potential for future improvement. The low temperature a-Si:H solar cells exhibit a strong improvement in all photovoltaic parameters, particularly in the fill factor, after post-deposition annealing at 120 C. Extensive studies were carried out to understand the underlying physical processes and to link the changes in individual layers upon annealing to changes in solar cell performance. Changes in layer properties were investigated as a function of annealing time and consequent influence on the solar cell performance was analyzed. Measurements of external quantum efficiencies of pas well as n-side illuminated solar cells in addition to variable intensity measurements revealed a strong positive effect of the post-deposition annealing on the charge carrier collection efficiency. Possible contributions from the μτ -products of electrons and holes in the intrinsic absorber layer, as well as the built-in field in the solar cell were analyzed and discussed, and supported by computer simulations. Annealing effects present in a-Si:H solar cells on PET substrates and μc-Si:H solar cells on glass substrates were treated as well.
Whole Blood Profiling of Bacillus Calmette–Guérin-Induced Trained Innate Immunity in Infants Identifies Epidermal Growth Factor, IL-6, Platelet-Derived Growth Factor-AB/BB, and Natural Killer Cell Activation

Vaccination of infants with bacillus Calmette–Guérin (BCG) activates both the innate and adaptive arms of the immune response. The antimycobacterial effects of these responses most likely account for the ability of BCG to protect against childhood forms of tuberculosis (TB). There is also evidence for a heterologous protective effect of BCG vaccination against TB-unrelated mortality in low birth weight infants. A possible mechanism of action of this effect, the induction of trained innate immunity, has been demonstrated when cells from BCG-vaccinated adults are restimulated in vitro with non-related microbial stimuli. Our aim was to examine an extensive panel of secreted immune biomarkers to characterize the profile of trained innate immunity in infants. Stimulation of whole blood for 48 h was performed 4 months after BCG vaccination, or in control unvaccinated infants. Stimulants were lipopolysaccharide; Pam3Cys (P3C); heat-killed Candida albicans, Staphylococcus aureus, Escherichia coli, and a lysate of Mycobacterium tuberculosis. Culture supernatants were tested for secreted cytokines and chemokines by 42-plex bead array and monocytes and natural killer (NK) cells assessed for expression of activation markers by flow cytometry. BCG-vaccinated infants displayed increases in 11 cytokines and chemokines in response to different non-specific innate immunity stimuli: epidermal growth factor (EGF); eotaxin; IL-6; IL-7; IL-8; IL-10; IL-12p40; monocyte chemotactic protein-3; macrophage inflammatory protein-1α; soluble CD40 ligand and platelet-derived growth factor (PDGF)-AB/BB. Although each stimulant induced a distinct response profile, three analytes, EGF, IL-6, and PDGF-AB/BB, were commonly higher after stimulation with Pam3Cys, C. albicans, and S. aureus. Conversely, certain cytokines such as interferon gamma-inducible protein-10, IL-2, IL-13, IL-17, GM-CSF, and GRO were suppressed in BCG-vaccinated infants, while no increases in TNFα or IL-1β production were detected. We did not observe a concomitant, BCG-associated change in monocyte surface activation markers in response to non-specific stimuli, but we detected a significant increase in CD69 expression on NK cells in response to Pam3Cys. Pam3Cys-induced NK cell activation correlated with the magnitude of IL-12p40 and IL-10 responses to the same stimulant. This study reveals a novel cytokine/chemokine biomarker signature of BCG-induced trained innate immunity in infants and the involvement of NK cells in these responses.
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary

We present an approach to learning a model-theoretic semantics for natural language tied to Freebase. Crucially, our approach uses an open predicate vocabulary, enabling it to produce denotations for phrases such as “Republican front-runner from Texas” whose semantics cannot be represented using the Freebase schema. Our approach directly converts a sentence’s syntactic CCG parse into a logical form containing predicates derived from the words in the sentence, assigning each word a consistent semantics across sentences. This logical form is evaluated against a learned probabilistic database that defines a distribution over denotations for each textual predicate. A training phase produces this probabilistic database using a corpus of entity-linked text and probabilistic matrix factorization with a novel ranking objective function. We evaluate our approach on a compositional question answering task where it outperforms several competitive baselines. We also compare our approach against manually annotated Freebase queries, finding that our open predicate vocabulary enables us to answer many questions that Freebase cannot.
Nutritional and Therapeutic Characteristics of Camel Milk in Children: A Systematic Review

Introduction Camel milk is the closest to a human mother’s milk. Camel milk is different from other milks, however, having low sugar and cholesterol, high minerals (sodium, potassium, iron, copper, zinc and magnesium, and vitamin C). The milk is considered have medicinal characteristics as well. This systematic review is aimed at determining and reporting nutritional values and medicinal characteristics of camel milk in children. Methods The search strategy of the current review is “(camel AND milk) AND (autism OR food allergy OR milk allergy OR children OR diarrhea.” The search was conducted via PubMed, Scopus, and Google scholar. Also two Persian scientific databases (SID and Iranmedex) and international congresses were investigated. Full-text papers and abstracts on the topic of camel milk, evaluating nutritional value and medicinal properties, were included in this systematic review. Results Out of the 472 records found in the resources, 35 related studies were included in the final analysis. The result showed that camel milk is highly nutritious and is safe for consumption by children. Conclusion It seems that many researchers did not follow a specific guideline for reporting and confirming the therapeutic properties of camel milk in children, but there is evidence denoting the importance, trials, and investigations of its usability and benefits. Camel milk as a supplemental treatment seems less invasive and costly than specialist care, medications, alternative treatments, and behavioral interventions. Based on our findings, camel milk is safer for children, effective in the treatment of autism, improves general well-being, promotes body natural defenses, is a good nutritional source, and can helps the daily nutritional needs of humans.
Boolean satisfiability for sequence mining

In this paper, we propose a SAT-based encoding for the problem of discovering frequent, closed and maximal patterns in a sequence of items and a sequence of itemsets. Our encoding can be seen as an improvement of the approach proposed in [8] for the sequences of items. In this case, we show experimentally on real world data that our encoding is significantly better. Then we introduce a new extension of the problem to enumerate patterns in a sequence of itemsets. Thanks to the flexibility and to the declarative aspects of our SAT-based approach, an encoding for the sequences of itemsets is obtained by a very slight modification of that for the sequences of items.
Analysis of R . C Deep Beam by Finite Element Method

ABSTRACT : The analytical study of reinforced concrete simply supported deep beams subjected to two point loads was carried out using finite element method to study the behavior of deep beam by considering flexural stress, flexural strain, and shear stress variations at different sections for various effective lengths to depth ratio and compared with EulerBernoulli Theory. The effective span to depth ratios of the beams considered were 1.25, 1.375 and 1.5