Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-assessed health in caregivers of persons with autism spectrum disorder: associations with depressive symptoms, positive cognitions, resourcefulness, and well-being.

PURPOSE Caregiving for children with autism spectrum disorder (ASD) can affect family caregivers' self-assessed health. The purpose of this study was to determine whether depressive symptoms, positive cognitions, resourcefulness, and well-being will differ significantly among those who rated their health as fair, good, or excellent. DESIGN AND METHODS This study is a secondary analysis of 109 ASD caregivers who were recruited from the Interactive ASD Network. FINDINGS Depression was significantly lower among those who rated their health as excellent than among those who rated their health as fair. Positive cognitions, resourcefulness, and well-being were significantly higher among those who rated their health as excellent than among those who rated their health as fair. PRACTICE IMPLICATIONS Interventions to enhance caregivers' positive cognitions, resourcefulness, and well-being are recommended.
Acquired brain injury services in the Republic of Ireland: Experiences and perceptions of families and professionals

Abstract Primary objective: This study aimed to highlight the experiences and perceptions of rehabilitation services among families of people with Acquired Brain Injury (ABI) and among professionals working in ABI rehabilitation services in Ireland. Research design: A qualitative, exploratory study used focus groups to gather data. Data were analysed through a system of qualitative content analysis. Method: Three focus groups were carried out involving families of people with ABI from different parts of Ireland and one focus group was carried out with professionals working in rehabilitation services. Participants in all groups responded to five broad semi-structured questions. Main results: Analysis revealed five categories across the family focus groups and, separately, five categories within the professional group. Both groups highlighted that: there is a need to develop rehabilitation services in Ireland, building and expanding on current services; there is a need to make information and education related to brain injury more widely available and to ensure it is accessible for families; and there is a need to improve co-ordination and communication between services. A range of relationship issues were also highlighted. Conclusions: Much remains to be done to improve the experiences and perceptions of brain injury rehabilitation services among families and professionals.
The hundred flavours of photometric redshifts

For more that seventy years, the measurements of fluxes of galaxies at different wavelengths and derived colours have been used to estimate their corresponding cosmological distances. From the fields of galaxy and AGN evolution to precision cosmology, the number of scientific projects relying on such distance measurements, called photometric redshifts, have exploded. The benefits of photometric redshifts is that all sources detected in photometric images can have some distance estimates relatively cheaply. The major drawback is that these cheap estimates have a low precision when compared with the resource-expensive spectroscopy. The methodology to estimate redshifts has been through several major revolutions throughout the last decades, triggered by increasingly more stringent requirements on the photometric redshift accuracy. Here, we review the various techniques to obtain photometric redshifts, from template-fitting to machine learning and hybrid systems. We also describe the state-of-the-art results on current extra-galactic samples and explain how survey strategy choices impact redshift accuracy. We close the review with a description of the photometric redshifts efforts planned for upcoming wide field surveys, which will collect data on billions of galaxies, aiming to solve the most exciting cosmological and astrophysical questions of today.
Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic Algorithms

We propose a method based on the extraction of fuzzy rules by genetic algorithms for the classification of imbalanced datasets when understandability is an issue. We propose a new method for fuzzy variable construction based on modifying the set of fuzzy variables obtained by the RecBF/DDA algorithm. Later, these variables are recombined to obtain fuzzy rules by means of a genetic algorithm. The method has been developed for the detection of Down's syndrome in fetus. We provide empirical results showing its accuracy for this task. Furthermore, we provide more generic experimental results over UCI datasets proving that the method can have a wider applicability
Collapsar: A VM-Based Architecture for Network Attack Detention Center

The honeypot has emerged as an effective tool to provide insights into new attacks and current exploitation trends. Though effective, a single honeypot or multiple independently operated honeypots only provide a limited local view of network attacks. Deploying and managing a large number of coordinating honeypots in different network domains will not only provide a broader and more diverse view, but also create potentials in global network status inference, early network anomaly detection, and attack correlation in large scale. However, coordinated honeypot deployment and operation require close and consistent collaboration across participating network domains, in order to mitigate potential security risks associated with each honeypot and the non-uniform level of security expertise in different network domains. It is challenging, yet desirable, to provide the two conflicting features of decentralized presence and uniform management in honeypot deployment and operation. To address these challenges, this paper presents Collapsar, a virtual-machine-based architecture for network attack detention. A Collapsar center hosts and manages a large number of high-interaction virtual honeypots in a local dedicated network. These honeypots appear, to potential intruders, as typical systems in their respective production networks. Decentralized logical presence of honeypots provides a wide diverse view of network attacks, while the centralized operation enables dedicated administration and convenient event correlation, eliminating the need for honeypot experts in each production network domain. We present the design, implementation, and evaluation of a Collapsar testbed. Our experiments with several real-world attack incidences demonstrate the effectiveness and practicality of Collapsar.
Optimization of a Whole-Blood Gamma Interferon Assay for Detection of Mycobacterium bovis-Infected Cattle

ABSTRACT Antigens of Mycobacterium bovis elicit a cell-mediated immune response upon intradermal injection in cattle. In vitro, such antigens stimulate the production of gamma interferon (IFN-γ) by bovine T cells in whole-blood culture (IFN-γ assay). We have analyzed various parameters of the in vitro IFN-γ assay, ranging from blood sampling to execution of the IFN-γ test, in view of potential simplifications of the assay. Here, we show that IFN-γ responses may be reduced under certain animal handling/holding conditions and that a delayed time from blood collection to culture may lead to a reduced in vitro IFN-γ response. Delayed initiation of culture in a purified-protein-derivative-based assay (24 h compared to 8 h after blood collection), however, resulted in a significant improvement of specificity (97% compared to 85%), whereas there was only a modest reduction of sensitivity (from 96% to 90%), which was statistically not significant. Furthermore, we show that the stimulation temperature needs to be 33°C or higher; that carbon dioxide is not required for stimulation; and that various plate formats, ranging from 24 to 96 wells per plate, can be utilized. The produced IFN-γ is stable at 4°C for 28 days as well as after repeated freeze-thaw cycles. Thus, stimulation of samples may be initiated in the field without the need for a carbon dioxide source, and bovine IFN-γ is stable under various routine laboratory temperature scenarios. These findings demonstrate opportunities for improvements in the bovine IFN-γ test platform and flexibilities in test application.
Prediction of Organic Reaction Outcomes Using Machine Learning

Computer assistance in synthesis design has existed for over 40 years, yet retrosynthesis planning software has struggled to achieve widespread adoption. One critical challenge in developing high-quality pathway suggestions is that proposed reaction steps often fail when attempted in the laboratory, despite initially seeming viable. The true measure of success for any synthesis program is whether the predicted outcome matches what is observed experimentally. We report a model framework for anticipating reaction outcomes that combines the traditional use of reaction templates with the flexibility in pattern recognition afforded by neural networks. Using 15 000 experimental reaction records from granted United States patents, a model is trained to select the major (recorded) product by ranking a self-generated list of candidates where one candidate is known to be the major product. Candidate reactions are represented using a unique edit-based representation that emphasizes the fundamental transformation from reactants to products, rather than the constituent molecules’ overall structures. In a 5-fold cross-validation, the trained model assigns the major product rank 1 in 71.8% of cases, rank ≤3 in 86.7% of cases, and rank ≤5 in 90.8% of cases.
Health Literacy and the Disenfranchised: The Importance of Collaboration Between Limited English Proficiency and Health Literacy Researchers

Inadequate health literacy and limited English proficiency are associated with poor health care access and outcomes. Despite what appears to be an interaction phenomenon—whereby the rate of inadequate health literacy is particularly high among limited English proficiency populations—researchers in health literacy and limited English proficiency rarely collaborate. As a result, few health literacy instruments and interventions have been developed or validated for smaller linguistic populations. Interventions to improve health outcomes for people with low health literacy and limited English proficiency show great potential to alleviate many of the health disparities currently experienced by some of the most disenfranchised individuals in our health care system, those from smaller linguistic minority groups, including Deaf American Sign Language users. It is critical for health literacy and limited English proficiency researchers to work together to understand how culture, language, literacy, education, and disabilities influence health disparities and health outcomes. It is important to ensure that research is collaborative and inclusive in order to broaden the reach of future interventions to smaller linguistic minority populations.
Autism spectrum disorders (ASD) in Africa: a perspective.

BACKGROUND The universal occurrence of autism spectrum disorders (ASD) was queried about twenty-six years ago. It was thought to occur only in western industrialized countries with high technological development. Over the last decade, knowledge about ASD and its prevalence has been documented as being on the rise in different regions of the world, with most literature coming from the western world -- the situation in Africa on aspects of ASD remain unclear. METHODS Literature cited in Pubmed over the last decade on aspects of epidemiology, diagnosis, aetiology and knowledge of ASD in the African context were assessed. KEYWORDS autism, diagnosis, aetiology, knowledge and Africa were variously combined in the literature search. RESULTS No study specifically addressed the epidemiology of ASD in Africa. One of the two studies that were relevant addressed epidemiology of ASD in Arab countries, though included two Northern African countries. A higher proportion of non-verbal cases of ASD compared to verbal cases was documented in literature coming from Africa. Associated co-morbid disorders included intellectual disability, epilepsy and oculo-cutaneous albinism. Aetiological factors postulated included post-encephalitic infection, genetic and auto-immune factors, and vitamin D deficiency. Knowledge about ASD in Africa was noted to be low. CONCLUSION There is a need for epidemiological studies in Africa to define the magnitude of the problem of ASD and the characteristics of children affected by ASD in this region. This would help in planning and might be helpful in answering the question of aetiology of ASD. Policy making needs to be directed at issues of childhood developmental disorders in Africa.
Antigen processing by epidermal Langerhans cells correlates with the level of biosynthesis of major histocompatibility complex class II molecules and expression of invariant chain

Two prior studies with a small number of T cell lines have shown that the presentation of native protein antigens by epidermal Langerhans cells (LC) is regulated. When freshly isolated, LC are efficient antigen-presenting cells (APC), but after a period of culture LC are inefficient or even inactive. The deficit in culture seems to be a selective loss in antigen processing, since cultured LC are otherwise rich in major histocompatibility complex (MHC) class II products and are active APC for alloantigens and mitogens, which do not require processing. We have extended the analysis by studying presentation to bulk populations of primed lymph node and a T-T hybrid. Only freshly isolated LC can be pulsed with the protein antigens myoglobin and conalbumin, but once pulsed, antigen is retained in an immunogenic form for at least 2 d. The acquisition of antigen, presumably as MHC-peptide complexes, is inhibited if the fresh LC are exposed to foreign protein in the presence of chloroquine or cycloheximide. The latter, in contrast, improves the efficacy of antigen pulsing in anti-Ig- stimulated B blasts. In additional studies of mechanism, we noted that both fresh and cultured LC endocytose similar amounts of an antigen, rhodamineovalbumin, into perinuclear granules. However, freshly isolated LC synthesize high levels class II MHC molecules and express higher amounts of the class II-associated invariant chain. Fresh LC are at least 5-10 times more active than many other cells types in the level of biosynthesis of MHC class II products. These findings provide a physiologic model in which newly synthesized MHC class II molecules appear to be the principal vehicle for effective antigen processing by APC of the dendritic cell lineage. Another APC, the B lymphoblast, does not appear to require newly synthesized MHC class II molecules for presentation.
A case report of blunt gastric perforation treated with endoscopic clip closure

Rationale: Gastroscopymay not only allow identification of gastric injury, but may also facilitate prompt repair. Patient concerns: A 39-year-old male patient was admitted 3 hours after abdominal injury caused by penetration of a screwdriver. Physical examination and computed tomography showed no evidence of gastric injury. However, 3000 mL fresh blood was vomited during the subsequent observation period. Diagnoses: Gastroscopy identified a ruptured artery and gastric perforation. Interventions: Repaired immediately using titanium clips. Outcomes: After operation, the patient recovered well without complications. No more bleeding was observed after the operation. Lesson subsections asper style: Interventional endoscopy has evolved as an effective alternative to primary surgery for treating gastrointestinal perforation.
Proposal of a new prognostic model for hepatocellular carcinoma: an analysis of 403 patients

Background: The prognosis of hepatocellular carcinoma (HCC) is highly dependent on tumour extension and liver function. Recently, two new prognostic scoring systems—the CLIP score, developed by Italian investigators and the BCLC score, developed in Barcelona—have been widely used to assess prognosis in patients presenting with hepatocellular carcinoma. Each system has its own relative limitations. Aims: To create a new prognostic scoring system which is simple, easy to calculate, and suitable for estimating prognosis during radical treatment of early HCC. Methods: A total of 403 consecutive patients with HCC treated by percutaneous ablation at the Department of Gastroenterology, University of Tokyo Hospital, between 1990 and 1997 were used as the training sample to identify prognostic factors for our patients and used to develop the Tokyo score. As a testing sample, 203 independent patients who underwent hepatectomy at the Department of Hepato-Biliary-Pancreatic Surgery were studied. Prognostic factors were analysed by univariate and multivariate Cox proportional hazard regression. Results: The Tokyo score consists of four factors: serum albumin, bilirubin, and size and number of tumours. Five year survival was 78.7%, 62.1%, 40.0%, 27.7%, and 14.3% for Tokyo scores 0, 1, 2, 3, and 4–6, respectively. The discriminatory ability of the Tokyo score was internally validated by bootstrap methods. The Tokyo score, CLIP score, and BCLC staging were compared by Akaike information criterion and Harrell’s c index among training and testing samples. In the testing sample, the predictive ability of the Tokyo score was equal to CLIP and better than BCLC staging. Conclusions: The Tokyo score is a simple system which provides good prediction of prognosis for Japanese patients with HCC requiring radical therapy.
Effects of antiinflammatory drugs on the progression of osteoarthritis of the knee. LINK Study Group. Longitudinal Investigation of Nonsteroidal Antiinflammatory Drugs in Knee Osteoarthritis.

OBJECTIVE To compare the rate of radiographic progression in knee osteoarthritis (OA) comparing indomethacin with placebo and tiaprofenic acid with placebo. METHODS Rate of radiographic progression of OA of the knees was studied in 812 patients randomized double blind parallel group study at 20 rheumatology clinics in the United Kingdom and analyzed sequentially. Patients received either indomethacin 25 mg three times daily, tiaprofenic acid 300 mg twice daily, or matched placebo. All had access to paracetamol as a rescue analgesic. Joint space narrowing was measured by a 6 point grading scale, using radiographs taken with a standardized technique at recruitment and annually thereafter. RESULTS Three hundred and seventy six patients completed at least one year of study medication and therefore contributed evaluable results. More than twice as many patients showed deterioration in the indomethacin group as in the placebo group; of 170 available patients at the 3rd interim analysis, 40 of 85 receiving indomethacin had deteriorated compared to 19 of 85 receiving placebo, a statistically significant difference (p = 0.009). No statistically significant difference (p = 0.308) was found between tiaprofenic acid and placebo at the 7th interim analysis, the conclusion of the study. CONCLUSION Indomethacin increased the rate of radiological deterioration of joint space in patients with OA of the knee; tiaprofenic acid did not.
Effects of Chocolate Deprivation on Implicit and Explicit Evaluation of Chocolate in High and Low Trait Chocolate Cravers

Diet failures are often attributed to an increase in cravings for attractive foods. However, accumulating evidence shows that food cravings actually decrease during energy-restricting weight-loss interventions. The current study aimed at elucidating possible mechanisms that may explain how and under which circumstances food cravings in- or decrease during dieting. Specifically, decreases in food cravings during weight-loss diets may be due to effects of energy restriction (homeostatic changes) and to effects of avoiding specific foods (hedonic changes). Thus, we used a selective, hedonic deprivation (i.e., restricting intake of a specific food in the absence of an energy deficit) that precludes homeostatic changes due to energy restriction. Furthermore, interindividual differences in food craving experiences might affect why some individuals are more prone to experience cravings during dieting than others. Thus, we investigated whether a selective deprivation of chocolate would in- or decrease craving and implicit preference for chocolate as a function of trait-level differences in chocolate craving. Participants with high and low trait chocolate craving (HC, LC) refrained from consuming chocolate for 2 weeks but otherwise maintained their usual food intake. Both groups underwent laboratory assessments before and after deprivation, each including explicit (i.e., state chocolate craving) and implicit measures (i.e., Single Category Implicit Association Test, SC-IAT; Affect Misattribution Procedure, AMP). Results showed that hedonic deprivation increased state chocolate craving in HCs only. HCs also showed more positive implicit attitudes toward chocolate than LCs on the SC-IAT and the AMP irrespective of deprivation. Results help to disambiguate previous studies on the effects of dieting on food cravings. Specifically, while previous studies showed that energy-restricting diets appear to decrease food cravings, the current study showed that a selective, hedonic deprivation in the absence of an energy deficit increases food cravings. However, this effect can only be observed for individuals with high trait craving levels. Thus, if attractive foods are strictly avoided through a selective deprivation, HCs are at risk to experience craving bouts in the absence of an energy deficit. As implicit preference was unaffected by chocolate deprivation, strong implicit preference for chocolate likely characterize a stable mechanism that drives consumption in HCs.
OHRQoL in a Sample of Alcohol and Drug Abusers

Aims: To determine oral health related quality of life (OHRQoL) in a large sample of substance abusers and to evaluate the effect of dental treatment on OHRQoL. Design: A longitudinal observational study. Settings: A dental care clinic specialized in treating severely addicted patients. Participants: A sample of severely addicted substance abusers. Measurements: OHRQoL was measured using the OHIP-14, which was filled out at baseline (T0), prior to the first treatment session (T1), after about 6 treatment sessions (T2) and on the last day of treatment (T3). Findings: Mean OHIP scores did not change from T0 to T1. At T1, a mean OHIP-14 total score = 37.1 (sd=12.4, N = 392) was found. The highest mean scores were observed for the subscales physical pain and psychological discomfort. Data from 129 patients was available on both T1 and T2. The mean OHIP-14 total score reduced significantly (mean difference = 5.63, 95% CI 3.76 – 7.51), t(128)=5.94, p <0.001. The highest reduction in mean score was found for the subscale physical pain (mean difference = 1.24, 95%CI 0.81 – 1.66). Also between T2 and T3 a significant reduction in OHIP-14 total score (mean difference = 2.41, 95%CI 0.06-4.76) took place. Conclusion: The oral health status of substance abusers does have a substantial effect on their quality of life, which can be improved to a great extent by dental treatment based on a model tailored to addicted patients.