Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-feature deep learning for face gender recognition

Face gender recognition is a challenging problem in the traditional field of pattern recognition. In this paper, we propose a deep learning model that can learn the joint high-level and low-level features of human face to address this problem. Our deep neural networks apply convolution and subsampling in extracting the local and abstract features of human face, and reconstruct the raw input images to learn global and effective features as supplementary information at the same time. We also add a trainable weight in the networks when combining the two kinds of features to realize the final gender classification. Experiment results show that our method achieves the highest accuracy compared with existing methods, when test on the mixed face dataset. Further, in the generalization test, the average classification rate on 3 public datasets of our method is 5% higher than the joint Local Binary Pattern (LBP) and Support Vector Machine (SVM) method, and is nearly 1% higher than the SVM with face pixels method. This proves our method outperforms the traditional methods in both learning ability and generalization ability.
High-Flow Nasal Cannula Therapy for Obstructive Sleep Apnea in Children.

INTRODUCTION Over the last decade, high-flow nasal cannula (HFNC) therapy has become an increasingly important and popular mode of noninvasive respiratory support. HFNC facilitates delivery of humidified and heated oxygen at a high flow rate and generates positive airway pressure. METHODS We present five cases of children with OSA without adenotonsillar hypertrophy who were treated with HFNC. RESULTS We demonstrated a statistically significant improvement in apnea-hypopnea index and nadir oxygen saturation in this small cohort. CONCLUSION We present our successful experience of treating severe OSA with HFNC in the home setting. Further randomized controlled trials are needed to determine whether HFNC could be considered as an established alternative for CPAP in OSA in children.
Using an Error-Annotated Learner Corpus to Develop an ESL/EFL Error Correction System

This paper presents research on building a model of grammatical error correction, for preposition errors in particular, in English text produced by language learners. Unlike most previous work which trains a statistical classifier exclusively on well-formed text written by native speakers, we train a classifier on a large-scale, error-tagged corpus of English essays written by ESL learners, relying on contextual and grammatical features surrounding preposition usage. First, we show that such a model can achieve high performance values: 93.3% precision and 14.8% recall for error detection and 81.7% precision and 13.2% recall for error detection and correction when tested on preposition replacement errors. Second, we show that this model outperforms models trained on well-edited text produced by native speakers of English. We discuss the implications of our approach in the area of language error modeling and the issues stemming from working with a noisy data set whose error annotations are not exhaustive.
Profile of smoking amongst health staff in a primary care unit at a general hospital in Riyadh, Saudi Arabia.

OBJECTIVE Smoking is a major health problem among healthcare personnel as in other parts of the community. The objective of this study was to find out the prevalence of smoking along with influencing factors related to smoking among our staff in Alkharj Military Hospital. METHODS A self-administered questionnaire study. EPI-INFO statistical package was used for statistical analysis by calculating x(2) and p value < or = 0.05 as statistically significant. RESULTS A total of 230 completed questionnaires, 108 males and 122 females, were included with a response rate of 66%. The prevalence of smokers was (19%) ex-smokers (14%) and non-smokers (67%). Male smokers 31, (29%), x(2) =13.42, p< 0.001 were a significantly higher figure than female smokers. Smoking was significantly more among the group of employees with secondary school degrees, 6 (35.5%), p< 0.02. The majority of smokers were smoking 11-20 cigarettes per day (46.5%, x(2) = 14.80, p < 0.0001). Friends influenced, 30 (70%), p < 0.0001, smokers to start smoking, with relaxation being the most important reason 22, (51%), p< 0.001) for continuing smoking. Seventy six percent of smokers favored the establishment of a smoking cessation clinic. There was no significant difference regarding the knowledge of harmful effects of smoking among smokers, ex-smokers and non-smokers. The majority of smokers (70%) thought of stopping smoking and 58% attempted to stop smoking but most of the smokers failed due to social reasons or friends influences (44%). CONCLUSION Smoking prevalence is considerably high among our hospital workers. It is not only dangerous for the smokers itself but for the patients who idealize the behavior of hospital staff. Most of the smokers know that smoking is harmful to them as well as others around them but they did not succeed in quitting smoking due to various reasons. Health education combined with help from general practitioners may help to increase the quitting rate among smokers and preventing new smokers from taking up smoking.
Association of age at diagnosis and Crohn's disease phenotype.

BACKGROUND fifteen percent of patients with Crohn's disease (CD) are elderly; they are less likely to have complications and more likely to have colonic disease. OBJECTIVE to compare disease behaviour in patients with CD based on age at diagnosis. DESIGN cross-sectional study. SETTING tertiary referral centre. SUBJECTS patients with confirmed CD. METHODS behaviour was characterised according to the Montreal classification. Patients with either stricturing or penetrating disease were classified as having complicated disease. Age at diagnosis was categorised as <17, 17-40, 41-59 and ≥ 60 years. Logistic regression analysis was performed to examine the association between advanced age ≥ 60 and complicated disease. RESULTS a total of 467 patients were evaluated between 2004 and 2010. Increasing age of diagnosis was negatively associated with complicated disease and positively associated with colonic disease. As age of diagnosis increased, disease duration (P < 0.001), family history of Inflammatory bowel disease (IBD) (P = 0.015) and perianal disease decreased (P < 0.0015). After adjustment for confounding variables, the association between age at diagnosis and complicated disease was no longer significant (OR: 0.60, 95% CI: 0.21-1.65). CONCLUSIONS patients diagnosed with CD ≥ 60 were more likely to have colonic disease and non-complicated disease. However, the association between age at diagnosis and complicated disease did not persist after adjustment for confounding variables.
The gill chamber epibiosis of deep-sea shrimp Rimicaris exoculata: an in-depth metagenomic investigation and discovery of Zetaproteobacteria.

The gill chamber of deep-sea hydrothermal vent shrimp Rimicaris exoculata hosts a dense community of epibiotic bacteria dominated by filamentous Epsilonproteobacteria and Gammaproteobacteria. Using metagenomics on shrimp from the Rainbow hydrothermal vent field, we showed that both epibiont groups have the potential to grow autotrophically and oxidize reduced sulfur compounds or hydrogen with oxygen or nitrate. For carbon fixation, the Epsilonproteobacteria use the reductive tricarboxylic acid cycle, whereas the Gammaproteobacteria use the Calvin-Benson-Bassham cycle. Only the epsilonproteobacterial epibionts had the genes necessary for producing ammonium. This ability likely minimizes direct competition between epibionts and also broadens the spectrum of environmental conditions that the shrimp may successfully inhabit. We identified genes likely to be involved in shrimp-epibiont interactions, as well as genes for nutritional and detoxification processes that might benefit the host. Shrimp epibionts at Rainbow are often coated with iron oxyhydroxides, whose origin is intensely debated. We identified 16S rRNA sequences and functional genes affiliated with iron-oxidizing Zetaproteobacteria, which indicates that biological iron oxidation might play a role in forming these deposits. Fluorescence in situ hybridizations confirmed the presence of active Zetaproteobacteria in the R. exoculata gill chamber, thus providing the first evidence for a Zetaproteobacteria-invertebrate association.
Achieving Sub-50 Milliseconds Recovery Upon BGP Peering Link Failures

Recent measurements show that BGP peering links can fail as frequently as intradomain links and usually for short periods of time. We propose a new fast-reroute technique where routers are prepared to react quickly to interdomain link failures. For each of its interdomain links, a router precomputes a protection tunnel, i.e., an IP tunnel to an alternate nexthop which can reach the same destinations as via the protected link. We propose a BGP- based auto-discovery technique that allows each router to learn the candidate protection tunnels for its links. Each router selects the best protection tunnels for its links and when it detects an interdomain link failure, it immediately encapsulates the packets to send them through the protection tunnel. Our solution is applicable for the links between large transit ISPs and also for the links between multi-homed stub networks and their providers. Furthermore, we show that transient forwarding loops (and thus the corresponding packet losses) can be avoided during the routing convergence that follows the deactivation of a protection tunnel in BGP/MPLS VPNs and in IP networks using encapsulation.
Chemical Composition and Meat Quality Attributes of Indigenous Sheep and Goats from Traditional Production System in Tanzania

The aim of the study was to compare chemical composition and quality attributes of meat between male long fat tailed sheep (n = 17) and Small East African goats (n = 17) existing in Tanzania. Animals of 1.5 to 2 yrs in age and live body weight of 22.59±0.50 kg were purchased from livestock auction markets. Animals were fasted for 18 h and slaughtered according to standard halal procedure. Left carcasses were dissected into muscles, fat and bone and the muscle and fat were mixed together and chemically analysed. Meat quality attributes were measured based on Muscle longissimus thoracis et lumborum excised from right sides of carcasses. Goat carcasses had significant higher (p = 0.0302) moisture content (70.65% vs 66.96%) and lower (p = 0.0027) ether extract (2.49% vs 5.82%) than sheep but there was no significant species differences in protein and ash content. Sheep had lower (p = 0.0157) ultimate pH (5.74 vs 5.88) and higher (p = 0.0307) temperature (3.77°C vs 3.15°C) than goat carcasses. Sheep meat had lower (p = 0.0021) shear force values (29.83 N vs 34.07 N) than goat. Within species, at day 9 of ageing, meat tenderness improved (p = 0.0001) by 44.63% and 34.18% for sheep and goat. Pooled data showed that at d 9 of ageing, meat tenderness improved (p = 0.0001) by 39.25% (from 39.54 N to 24.02 N) compared to tenderness of meat which was not aged at day one of slaughter. The present study demonstrated the differences in chemical composition and quality attributes of meat existing between sheep and goats originated from East Africa.
Effects of Foot-and-Mouth Disease Virus Nonstructural Proteins on the Structure and Function of the Early Secretory Pathway: 2BC but Not 3A Blocks Endoplasmic Reticulum-to-Golgi Transport

ABSTRACT Infection of cells by picornaviruses leads to the generation of intracellular membrane vesicles. The expression of poliovirus (PV) 3A protein causes swelling of the endoplasmic reticulum (ER) and inhibition of protein trafficking between the ER and the Golgi apparatus. Here, we report that the nonstructural proteins of a second picornavirus, foot-and-mouth disease virus (FMDV), also perturb the secretory pathway. FMDV proteins 3A, 2B, 2C, and 2BC expressed alone in cells were recovered from crude membrane fractions, indicating membrane association. Immunofluorescence microscopy showed that 3A was located in a reticular structure and 2B was located in the ER, while 2C was located in both the ER and the bright punctate structures within the Golgi apparatus. 2BC gave punctate cytoplasmic staining and also caused accumulation of ER proteins in large vesicular structures located around the nuclei. The effect of the FMDV proteins on the trafficking of the vesicular stomatitis virus glycoprotein (G protein) from the ER to the cell surface was determined. Unlike its PV counterpart, the 3A protein of FMDV did not prevent trafficking of the G protein to the cell surface. Instead, surface expression of the G protein was blocked by 2BC, with retention of the G protein in a modified ER compartment staining for 2BC. The results suggest that the nonstructural proteins of different picornaviruses may vary in their ability to perturb the secretory pathway. Since FMDV 2BC can block the delivery of proteins to the cell surface, it may, as shown for PV 3A, play a role in immune evasion and contribute to the persistent infections observed in ruminants.
Cardiogenic Shock

Like all forms of shock, cardiogenic shock (CS) is a life-threatening condition of decreased blood circulation that ultimately causes systemic hypoperfusion and end-organ failure. Unlike other forms of shock, however, CS is characterized by failure of the heart itself. This chapter describes CS, including its causes and diagnosis, and provides a brief overview of management.
Discovering latent influence in online social activities via shared cascade poisson processes

Many people share their activities with others through online communities. These shared activities have an impact on other users' activities. For example, users are likely to become interested in items that are adopted (e.g. liked, bought and shared) by their friends. In this paper, we propose a probabilistic model for discovering latent influence from sequences of item adoption events. An inhomogeneous Poisson process is used for modeling a sequence, in which adoption by a user triggers the subsequent adoption of the same item by other users. For modeling adoption of multiple items, we employ multiple inhomogeneous Poisson processes, which share parameters, such as influence for each user and relations between users. The proposed model can be used for finding influential users, discovering relations between users and predicting item popularity in the future. We present an efficient Bayesian inference procedure of the proposed model based on the stochastic EM algorithm. The effectiveness of the proposed model is demonstrated by using real data sets in a social bookmark sharing service.
Survey of aflatoxin M1 in cheese from the North-east region of São Paulo, Brazil

In the present study, 24 samples of Minas Frescal cheese and 24 samples of Minas Padrão cheese produced in the North-east region of the state of São Paulo, Brazil, were analysed for aflatoxin M1 (AFM1) by high-performance liquid chromatography (HPLC) between March and August 2008. AFM1 was detected in 13 (27.1%) samples at concentrations ranging from 0.037 to 0.313 ng g−1. The mean concentrations of AFM1 in positive samples of Minas Frescal and Minas Padrão cheese were 0.142 ± 0.118 and 0.118 ± 0.054 ng g−1, respectively. It is concluded that the incidence of AFM1 in Minas cheese may contribute to an increase in the overall ingestion of aflatoxins in the diet, hence indicating the need for the adoption of a tolerance limit for AFM1 in cheese in Brazil.
An Integrated Framework for Analyzing Multiple Financial Regulations

In this companion paper to Goodhart et al. (2012), we explore the interactions of various types of financial regulation. We find that regulations that control fire-sale risk are critical for delivering financial stability and improving the welfare of savers and borrowers. We describe the combinations of capital regulations, margin requirements, liquidity regulation, and dynamic provisioning that are most effective in this respect. A policy featuring margin requirements together with countercyclical capital requirements delivers equal or better outcomes for the economy than does an unregulated financial system. But it is easy to produce combinations of regulation that look sensible but, when combined, have adverse effects on the economy.
The development of forgetting and reminiscence.

Many theoretical positions on memory development anticipate that forgetting rates should vary substantially with age. The nature of these age variations is also relevant to many applied questions about child development that have major social policy implications, such as the veracity of children's eyewitness testimony and the long-term effectiveness of classroom instruction. Surprisingly, developmental studies of long-term retention have repeatedly produced the puzzling finding that forgetting rates are age invariant. It now seems, however, that these null age trends may have been artifacts of variables such as measurement insensitivity, floor effects, and stages-of-learning confounds. Assuming, as some later studies suggest, that forgetting rates vary with age when these factors are controlled, there are three overriding questions that must be dealt with in the developmental analysis of forgetting: the relative importance of storage failure versus retrieval failure, the relative importance of true forgetting processes versus test-induced processes, and the relative importance of storage-based reminiscence versus retrieval-based reminiscence. We describe a framework (disintegration/redintegation theory) that provides a conceptual environment within which research on these questions can progress. This framework, which evolved from fuzzy-trace theory, reinterprets processes such as storage failure, retrieval failure, restorage, and retrieval relearning in terms of levels of featural integration in traces (i.e., the extent to which contextual information is integrated with core semantic gist to produce a coherent representation). The theory is implemented in a mathematical model (the trace-integrity model) whose parameters deliver measurements of relevant memory processes on a common ratio scale. In a series of experiments, the model was used to study the theory's predictions about the contributions of these memory processes to long-term retention in subjects between the ages of 7 and 70. All the experiments were standard long-term retention designs (an initial acquisition session, followed by a 1-2-week forgetting interval, followed by a series of retention tests). (ABSTRACT TRUNCATED AT 400 WORDS)
Evidence that agricultural use of pesticides selects pyrethroid resistance within Anopheles gambiae s.l. populations from cotton growing areas in Burkina Faso, West Africa

Many studies have shown the role of agriculture in the selection and spread of resistance of Anopheles gambiae s.l. to insecticides. However, no study has directly demonstrated the presence of insecticides in breeding sources as a source of selection for this resistance. It is in this context that we investigated the presence of pesticide residues in breeding habitats and their formal involvement in vector resistance to insecticides in areas of West Africa with intensive farming. This study was carried out from June to November 2013 in Dano, southwest Burkina Faso in areas of conventional (CC) and biological cotton (BC) growing. Water and sediment samples collected from breeding sites located near BC and CC fields were submitted for chromatographic analysis to research and titrate the residual insecticide content found there. Larvae were also collected in these breeding sites and used in toxicity tests to compare their mortality to those of the susceptible strain, Anopheles gambiae Kisumu. All tested mosquitoes (living and dead) were analyzed by PCR for species identification and characterization of resistance genes. The toxicity analysis of water from breeding sites showed significantly lower mortality rates in breeding site water from biological cotton (WBC) growing sites compared to that from conventional cotton (WCC) sites respective to both An. gambiae Kisumu (WBC: 80.75% vs WCC: 92.75%) and a wild-type strain (49.75% vs 66.5%). The allele frequencies L1014F, L1014S kdr, and G116S ace -1R mutations conferring resistance, respectively, to pyrethroids and carbamates / organophosphates were 0.95, 0.4 and 0.12. Deltamethrin and lambda-cyhalothrin were identified in the water samples taken in October/November from mosquitoes breeding in the CC growing area. The concentrations obtained were respectively 0.0147ug/L and 1.49 ug/L to deltamethrin and lambdacyhalothrin. Our results provided evidence by direct analysis (biological and chromatographic tests) of the role of agriculture as a source of selection pressure on vectors to insecticides used in growing areas.
Column-stores vs. row-stores: how different are they really?

There has been a significant amount of excitement and recent work on column-oriented database systems ("column-stores"). These database systems have been shown to perform more than an order of magnitude better than traditional row-oriented database systems ("row-stores") on analytical workloads such as those found in data warehouses, decision support, and business intelligence applications. The elevator pitch behind this performance difference is straightforward: column-stores are more I/O efficient for read-only queries since they only have to read from disk (or from memory) those attributes accessed by a query. This simplistic view leads to the assumption that one can obtain the performance benefits of a column-store using a row-store: either by vertically partitioning the schema, or by indexing every column so that columns can be accessed independently. In this paper, we demonstrate that this assumption is false. We compare the performance of a commercial row-store under a variety of different configurations with a column-store and show that the row-store performance is significantly slower on a recently proposed data warehouse benchmark. We then analyze the performance difference and show that there are some important differences between the two systems at the query executor level (in addition to the obvious differences at the storage layer level). Using the column-store, we then tease apart these differences, demonstrating the impact on performance of a variety of column-oriented query execution techniques, including vectorized query processing, compression, and a new join algorithm we introduce in this paper. We conclude that while it is not impossible for a row-store to achieve some of the performance advantages of a column-store, changes must be made to both the storage layer and the query executor to fully obtain the benefits of a column-oriented approach.