Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy and Tolerability of Second-Generation Antipsychotics in Children and Adolescents With Schizophrenia

Early-onset schizophrenia-spectrum (EOSS) disorders (onset of psychotic symptoms before 18 years of age) represent a severe variant associated with significant chronic functional impairment and poor response to antipsychotic treatment. All drugs with proven antipsychotic effects block dopamine D2 receptors to some degree. The ongoing development of the dopamine and other neurotransmitter receptor systems during childhood and adolescence may affect clinical response and susceptibility to side effects in youth. A literature search was conducted of clinical trials of antipsychotics in children and adolescents with EOSS disorders between 1980 and 2007 from the Medline database, reference lists, and conference proceedings. Trials were limited to double-blind studies of duration of 4 or more weeks that included 15 or more patients. Ten clinical trials were identified. Antipsychotic medications were consistently found to reduce the severity of psychotic symptoms in children and adolescents when compared with placebo. The superiority of clozapine has been now demonstrated relative to haloperidol, standard-dose olanzapine, and “high-dose” olanzapine for EOSS disorders. However, limited comparative data are available regarding whether there are differences among the remaining second-generation antipsychotics (SGAs) in clinical effectiveness. The available data from short-term studies suggest that youth might be more sensitive than adults to developing antipsychotic-related adverse side effects (eg, extrapyramidal side effects, sedation, prolactin elevation, weight gain). In addition, preliminary data suggest that SGA use can lead to the development of diabetes in some youth, a disease which itself carries with it significant morbidity and mortality. Such a substantial risk points to the urgent need to develop therapeutic strategies to prevent and/or mitigate weight gain and diabetes early in the course of treatment in this population.
A Microgrid Energy Management System Based on the Rolling Horizon Strategy

A novel energy management system (EMS) based on a rolling horizon (RH) strategy for a renewable-based microgrid is proposed. For each decision step, a mixed integer optimization problem based on forecasting models is solved. The EMS provides online set points for each generation unit and signals for consumers based on a demand-side management (DSM) mechanism. The proposed EMS is implemented for a microgrid composed of photovoltaic panels, two wind turbines, a diesel generator and an energy storage system. A coherent forecast information scheme and an economic comparison framework between the RH and the standard unit commitment (UC) are proposed. Solar and wind energy forecasting are based on phenomenological models with updated data. A neural network for two-day-ahead electric consumption forecasting is also designed. The system is tested using real data sets from an existent microgrid in Chile (ESUSCON). The results based on different operation conditions show the economic sense of the proposal. A full practical implementation of the system for ESUSCON is envisioned.
‘I don’t want to die. That’s not why I do it at all’: multifaceted motivation, psychological health, and personal development in BASE jumping

ABSTRACT This study explored a veteran female BASE jumper's experiences in relation to (a) participation phases, motivations and emotions; (b) risk perceptions and psychological management strategies; (c) psychological effects of accidents and fatalities on risk appraisals and her protective frame; and (d) psychological health and personal development benefits of extreme sport participation. Interview data revealed multifaceted motivations for BASE jumping that evolved over time. Emotion induction and pleasant psychological experiences associated with BASE jumping contributed to psychological health, well-being and personal development, while coping with negative experiences and dynamic risk perceptions fostered mental strength and resilience. Continued participation following negative experiences highlighted the importance of protective frames in facilitating positive extreme sport experiences. Findings suggested that BASE jumping motivations and experiences may be more complex and multifaceted than currently conceptualized, and that extreme sport has the potential to promote psychological health and personal development in ways that are often overlooked.
The Genotypic Population Structure of Mycobacterium tuberculosis Complex from Moroccan Patients Reveals a Predominance of Euro-American Lineages

Background Tuberculosis (TB) remains a major health problem in Morocco. Characterization of circulating Mycobacterium tuberculosis genotypic lineages, important to understand the dynamic of the disease, was hereby addressed for the first time at a national level. Methodology/Principal Findings Spoligotyping was performed on a panel of 592 M. tuberculosis complex strains covering a 2-year period (2004–2006). It identified 129 patterns: 105 (n = 568 strains) corresponded to a SIT number in the SITVIT2 database, while 24 patterns were labeled as orphan. A total of 523 (88.3%) strains were clustered vs. 69 or 11.7% unclustered. Classification of strains within 3 large phylogenetical groups was as follows: group 1– ancestral/TbD1+/PGG1 (EAI, Bovis, Africanum), group 2– modern/TbD1−/PGG1 group (Beijing, CAS), group 3– evolutionary recent/TbD1−/PGG2/3 (Haarlem, X, S, T, LAM; alternatively designated as the Euro-American lineage). As opposed to group 3 strains (namely LAM, Haarlem, and T) that predominated (86.5% of all isolates), 6 strains belonged to group 2 (Beijing n = 5, CAS n = 1), and 3 strains (BOV_1 n = 2, BOV_4-CAPRAE) belonged to ancestral group 1 (EAI and AFRI lineage strains were absent). 12-loci MIRU-VNTR typing of the Casablanca subgroup (n = 114 strains) identified 71 patterns: 48 MITs and 23 orphan patterns; it allowed to reduce the clustering rate from 72.8% to 29.8% and the recent transmission rate from 64% to 20.2%. Conclusion The M. tuberculosis population structure in Morocco is highly homogeneous, and is characterized by the predominance of the Euro-American lineages, namely LAM, Haarlem, and T, which belong to the “evolutionary recent” TbD1−/PGG2/3 phylogenetic group. The combination of spoligotyping and MIRUs decreased the clustering rate significantly, and should now be systematically applied in larger studies. The methods used in this study appear well suited to monitor the M. tuberculosis population structure for an enhanced TB management program in Morocco.
Adolescent Health and High School Dropout: A Prospective Cohort Study of 9000 Norwegian Adolescents (The Young-HUNT)

Background High school dropout is of major concern in the western world. Our aims were to estimate the risk of school dropout in adolescents following chronic somatic disease, somatic symptoms, psychological distress, concentration difficulties, insomnia or overweight and to assess to which extent the family contributes to the association between health and school dropout. Methods A population of 8950 school-attending adolescents (13–21 years) rated their health in the Young-HUNT 1 Study (90% response rate) in 1995–1997. High school dropout or completion, was defined with the Norwegian National Education Database in the calendar year the participant turned 24 years old. Parental socioeconomic status was defined by using linkages to the National Education Database, the National Insurance Administration and the HUNT2 Survey. We used logistic regression to estimate odds ratios and risk differences of high school dropout, both in the whole population and among siblings within families differentially exposed to health problems. Results All explored health dimensions were strongly associated with high school dropout. In models adjusted for parental socioeconomic status, the risk differences of school dropout according to health exposures varied between 3.6% (95% CI 1.7 to 5.5) for having ≥1 somatic disease versus none and 11.7% (6.3 to 17.0) for being obese versus normal weight. The results from the analyses comparing differentially exposed siblings, confirmed these results with the exception of weaker associations for somatic diseases and psychological distress. School dropout was strongly clustered within families (family level conditional intraclass correlation 0.42). Conclusions Adolescent health problems are markers for high school dropout, independent of parental socioeconomic status. Although school dropout it strongly related to family-level factors, also siblings with poor health have reduced opportunity to complete high school compared to healthy siblings. Public health policy should focus on ensuring young people with poor health the best attainable education.
Electrophysiological and Histologic Evaluation of the Time Course of Retinal Degeneration in the rd10 Mouse Model of Retinitis Pigmentosa

Among several animal models of retinitis pigmentosa (RP), the more recently developed rd10 mouse with later onset and slower rate of retinal degeneration than rd1 mouse is a more suitable model for testing therapeutic modalities. We therefore investigated the time course of retinal degeneration in rd10 mice before adopting this model in our interventional studies. Electroretinogram (ERG) recordings were carried out in postnatal weeks (PW) 3~5 rd10 (n=23) and wild-type (wt) mice (n=26). We compared the amplitude and implicit time of the b-wave of ERG records from wt and rd10 mice. Our results showed that b-wave amplitudes in rd10 mice were significantly lower and the implicit time of b-waves in rd10 mice were also significantly slower than that in wt mice (20~160 µV vs. 350~480 µV; 55~75 ms vs. 100~150 ms: p<0.001) through PW3 to PW5. The most drastic changes in ERG amplitudes and latencies were observed during PW3 to PW4. In multichannel recording of rd10 retina in PW2 to PW4.5, we found no significant difference in mean spike frequency, but the frequency of power spectral peak of local field potential at PW3 and PW3.5 is significantly different among other age groups (p<0.05). Histologic examination of rd10 retinae showed significant decrease in thickness of the outer nuclear layer at PW3. TUNEL positive cells were most frequently observed at PW3. From these data, we confirm that in the rd10 mouse, the most precipitous retinal degeneration occurs between PW3~PW4 and that photoreceptor degeneration is complete by PW5.
Memory limitations alone do not lead to over-regularization: An experimental and computational investigation

The “less is more” hypothesis suggests that one reason adults and children differ in their language acquisition abilities is that they also differ in other cognitive capacities. According to one version, children’s relatively poor memory may make them more likely to over-regularize inconsistent input (Hudson Kam & Newport, 2005, 2009). This paper investigates this hypothesis experimentally and computationally. Experiments in which adults were placed under a high cognitive load during a language-learning task reveal that in adults, increased load does not result in increased over-regularization. A computational model offers a possible explanation for these results, demonstrating that over-regularization should occur only in the presence of memory limitations as well as a strong prior bias for over-regularization. Taken together, these findings suggest that the difference in over-regularization between adults and children may not be attributable solely to differences in memory capacity between the two groups.
Discovering Browser Extensions via Web Accessible Resources

Browser extensions provide a powerful platform to enrich browsing experience. At the same time, they raise important security questions. From the point of view of a website, some browser extensions are invasive, removing intended features and adding unintended ones, e.g. extensions that hijack Facebook likes. Conversely, from the point of view of extensions, some websites are invasive, e.g. websites that bypass ad blockers. Motivated by security goals at clash, this paper explores browser extension discovery, through a non-behavioral technique, based on detecting extensions' web accessible resources. We report on an empirical study with free Chrome and Firefox extensions, being able to detect over 50% of the top 1,000 free Chrome extensions, including popular security- and privacy-critical extensions such as AdBlock, LastPass, Avast Online Security, and Ghostery. We also conduct an empirical study of non-behavioral extension detection on the Alexa top 100,000 websites. We present the dual measures of making extension detection easier in the interest of websites and making extension detection more difficult in the interest of extensions. Finally, we discuss a browser architecture that allows a user to take control in arbitrating the conflicting security goals.
Cooperative Compute-and-Forward

We propose a class of signaling schemes that leverage transmitter cooperation in wireless networks employing compute-and-forward or physical-layer network coding. We devise a lattice-coding approach to superposition block Markov encoding from which we construct a cooperative lattice coding strategy. Transmitters broadcast lattice codewords, decode each other's messages, and then cooperatively transmit resolution information which aids relays in decoding finite-field linear combinations of the incoming messages. We show that cooperation provides a substantial improvement in achievable computation rate and outage probability over noncooperative strategies. Using this strategy, we derive a new achievability scheme for the multiway relay channel, the rates of which are near capacity in many regimes and enjoy a diversity advantage over noncooperation.
Heteronormativity and women’s psychosocial functioning in heterosexual and same-sex couples

ABSTRACT Heteronormativity has been implicated as afoundational contributor to both heterosexism and sexism. While exposure to sexism and heterosexism consistently predict negative psychosocial outcomes among women and sexual minorities, respectively, direct relationships between heteronormative attitudes and psychosocial functioning remain largely unexplored. The present study fills this gap by examining psychosocial functioning correlates of heteronormativity among sexual minority and heterosexual women in long-term relationships, via actor-partner independence modelling. Findings differed by sexual orientation and across subscales of heteronormativity. In particular, we foundnegative associations for sexual minority women between their own heteronormative behavioural attitudes and eudaimonic outcomes of autonomy, personal growth, and life purpose. We also observed some contradictory results, which reinforceconceptualizations of heteronormativity and heterosexual privilege as complex, multi-faceted aspects of everyday life for women. Results support recommendations that clinicians and researchers assess sexual minority women’s heteronormative attitudes and beliefs, and that prejudice-reduction efforts attend to the ways in which heteronormativity may be experienced as protective or reassuring when individuals conform to its expectations. Future research is recommended to increase understanding of the relevance of heteronormativity in women’s lives, and to explore whether interventions that reduce internalised heteronormativity may yield improvement in eudaimonic wellbeing among sexual minority women.
Age and gender classification using convolutional neural networks

Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media. Nevertheless, performance of existing methods on real-world images is still significantly lacking, especially when compared to the tremendous leaps in performance recently reported for the related task of face recognition. In this paper we show that by learning representations through the use of deep-convolutional neural networks (CNN), a significant increase in performance can be obtained on these tasks. To this end, we propose a simple convolutional net architecture that can be used even when the amount of learning data is limited. We evaluate our method on the recent Adience benchmark for age and gender estimation and show it to dramatically outperform current state-of-the-art methods.
Pass-Through of Exchange Rates and Import Prices to Domestic Inflation in Some Industrialized Economies

This paper examines the impact of exchange rates and import prices on domestic PPI and CPI in selected industrialised economies. The empirical model is a VAR incorporating a distribution chain of pricing. Impulse responses and variance decompositions indicate that these external factors have a modest effect on domestic price inflation over the post-Bretton Woods era. The pass-through is somewhat stronger in countries with a larger import share. A historical decomposition over 1996-98 indicates, however, that external factors have had a sizable disinflationary effect in most of the countries during the past couple of years. Estimating the model using post-1982 data has little effect on these conclusions.
An empirical study of just-in-time defect prediction using cross-project models

Prior research suggests that predicting defect-inducing changes, i.e., Just-In-Time (JIT) defect prediction is a more practical alternative to traditional defect prediction techniques, providing immediate feedback while design decisions are still fresh in the minds of developers. Unfortunately, similar to traditional defect prediction models, JIT models require a large amount of training data, which is not available when projects are in initial development phases. To address this flaw in traditional defect prediction, prior work has proposed cross-project models, i.e., models learned from older projects with sufficient history. However, cross-project models have not yet been explored in the context of JIT prediction. Therefore, in this study, we empirically evaluate the performance of JIT cross-project models. Through a case study on 11 open source projects, we find that in a JIT cross-project context: (1) high performance within-project models rarely perform well; (2) models trained on projects that have similar correlations between predictor and dependent variables often perform well; and (3) ensemble learning techniques that leverage historical data from several other projects (e.g., voting experts) often perform well. Our findings empirically confirm that JIT cross-project models learned using other projects are a viable solution for projects with little historical data. However, JIT cross-project models perform best when the data used to learn them is carefully selected.
“Time's Up”: The Experience of Entering Residential Aged Care for Young People with Acquired Neurological Disorders and Their Families

Background and aims: Previous research has highlighted that living in residential aged care (RAC) is associated with a range of negative outcomes for adults with acquired neurological disorders. This study sought to understand the lived experience of entering RAC for young people and their family members and characterise their needs during this process. Method: Data included 64 written and verbal submissions to the 2015 Senate Inquiry into the Adequacy of existing residential care arrangements available for young people with severe physical, mental or intellectual disabilities in Australia. In line with hermeneutic tradition, text was analysed using thematic analysis. Results: Entry to RAC was experienced as a complex process that coalesced around three key events: an unexpected health crisis, a directive that time's up and the individual is required to leave the healthcare setting, with a subsequent decision to move into RAC. This decision was made in the absence of time, knowledge of options or adequate support. Conclusions: Findings suggest that there are both immediate practice changes and longer term policy responses that can support the health and disability systems to uphold the rights of people with acquired disability to choose where and how they will live their lives.
A Morphological and Histological Examination of the Pan‐tropical Spotted Dolphin (Stenella attenuata) and the Spinner Dolphin (Stenella longirostris) Adrenal Gland

The morphology and histology of the cetacean adrenal gland are poorly understood. Therefore, this study examined 32 pairs of adrenal glands from 18 pan‐tropical spotted dolphins (Stenella attenuata) and 14 spinner dolphins (Stenella longirostris). In both species, the cortex was pseudolobulated and contained a typical mammalian zonation. Medullary protrusions (0–3 per section) and a medullary band were identified in both species. For S. attenuata, no statistical differences were found in the cortex to medulla (CM) ratio or the percent cross‐sectional area (PCA) of the adrenal glands compared with sex or sexual maturity. The mean CM ratio for S. attenuata was 2.34 and the PCA was 64.4% cortex, 29.4% medulla and 6.2%‘other’. ‘Other’ indicates blood vessels, connective tissue and the gland capsule itself. For S. longirostris, there was no statistical difference in the CM ratio compared with sexual maturity. However, a statistical difference was found between the CM ratio and sex, suggesting sexual dimorphism (female CM ratio = 2.46 and males = 3.21). No statistical differences were found in the PCA of S. longirostris adrenal glands by sexual maturity. However, a statistical difference was found between the PCA by sex. Female S. longirostris adrenal glands consisted of 65.0% cortex, 27.3% medulla and 7.7%‘other’, whereas male adrenal glands consisted of 71.7% cortex, 22.7% medulla and 5.6%‘other’.
Performance Comparisons of New Excitation Coil Design Aspects in Magnetic Induction Tomography (MIT) Applications

Magnetic Induction Tomography (MIT) is a contactless method interested in conductivity properties of the object. In MIT system, excitation coil plays an important role since it generate primary field which then will propagate through the object (in this case is biological tissues) going to be imaged. The main problem in MIT is the magnitude of primary field is very large compare to secondary field generate by the tissue due to tissues low conductivity. This primary field besides disturb the detected secondary signal at the receiver, it also introduce interference to the neighbour’s circuit. The main objective of this research is to design an excitation coil which has the capability of focusing the primary field only to the object while at the same time reducing the interference to the neighbour’s circuit. The simulation results have shown that through the design, the primary field can be focused and the interference can be reduced.
Capacity of the Gaussian Two-Pair Two-Way Relay Channel to Within $\frac{1}{2}$ Bit

This paper studies the transceiver design of the Gaussian two-pair two-way relay channel (TWRC), where two pairs of users exchange information through a common relay in a pairwise manner. Our main contribution is to show that the capacity of the Gaussian two-pair TWRC is achievable to within $\frac{1}{ 2}$ bit for arbitrary channel conditions. For the outer bound, we derive a genie-aided bound of the Gaussian two-pair TWRC, which is tighter than the cut-set bound. For the inner bound, we develop a hybrid coding scheme involving Gaussian random coding, nested lattice coding, superposition coding, and network-coded decoding. We further present a message-reassembling strategy to decouple the coding design for the user-to-relay and relay-to-user links, so as to provide flexibility to fully exploit the channel randomness. We show that judicious power allocation at the users and at the relay is necessary to approach the channel capacity under various channel conditions.