Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Child and Adolescent Resilience Interpersonal Personality Vulnerabilities, Stress, and Depression in Adolescents: Interpersonal Hassles as a Mediator of Sociotropy and Socially Prescribed Perfectionism

Objectives: Research linking interpersonal personality factors with depression illustrates the need for adolescents to develop interpersonal resilience. In the current study, we examined the extent to which two interpersonally-based vulnerability factors (i.e., sociotropy and socially prescribed perfectionism) and daily interpersonal hassles are associated with depression in adolescents. Methods: A sample of 143 high school adolescents from Toronto, Ontario, Canada completed self-report questionnaires that included measures of sociotropy (i.e., the Personal Styles Inventory), perfectionism (i.e., the Child-Adolescent Perfectionism Scale), daily life hassles, and depressive symptoms. Results: Sociotropy and socially prescribed perfectionism were associated significantly with depression and daily hassles, including hassles reflecting interpersonal themes such as social mistreatment and social disconnection. A factor consisting of interpersonal hassles subscales mediated the link between these personality traits and depression. Conclusion and Implications: Our results highlight the roles of sociotropy and socially prescribed perfectionism and suggest that these traits are associated with depression, in part, due to their link with daily interpersonal stressors. Our results suggest that while many adolescents are resilient, others who need to be accepted and who feel that they
Least Square Identification using Noise Reduction Disturbance Observer

- In this article, the application of the identification algorithm of Recursive Least Squares with Forgetting Factor in conjunction with the Noise Reduction Disturbance Observer shows that the effects of noise, which affects input and output signals of the process, can be reduced so that the identification process can be more effective and precise. In order to evaluate the effectiveness of this strategy the results of a case of study in which estimation of a first order process using the Noise Reduction Disturbance Observer is compared to an estimation without the Disturbance Observer.
UQ IElab at TREC 2019 Decision Track

We describe our participation to the TREC 2019 Decision Track. The first year of this track challenges participants to devise search technologies that retrieve correct health advice from web resources, with the intent to better support people’s health decision making. Our solution addressed this challenge by extending the Entity Query Feature Expansion model (EQFE), a knowledge base (KB) query expansion method. In previous work we showed that Wikipedia and the Consumer Health Vocabulary resource can be effective as basis for consumer health search query expansion, within the EQFE method. To obtain query expansion terms, first, we mapped entity mentions to KB entities by performing exact matching. After mapping, we used the Title of the mapped KB entities as the source for expansion terms. Despite previous evaluation demonstrating the effectiveness of this method, EQFE did not provide the expected gains over not using query expansion, on both relevant-based and credibility-based evaluation measures.
Smith at TREC2019: Learning to Rank Background Articles with Poetry Categories and Keyphrase Extraction

Smith College participated in the TREC News Background Linking task in 2019. We constructed a linear learning to rank model trained on the 2018 data and submitted runs that included features derived from ongoing research into automatic poetry understanding. In this notebook paper we detail the contents of our submissions and our lessons learned from this year’s participation.
Analysis of Positional Encodings for Neural Machine Translation

In this work we analyze and compare the behavior of the Transformer architecture when using different positional encoding methods. While absolute and relative positional encoding perform equally strong overall, we show that relative positional encoding is vastly superior (4.4% to 11.9% BLEU) when translating a sentence that is longer than any observed training sentence. We further propose and analyze variations of relative positional encoding and observe that the number of trainable parameters can be reduced without a performance loss, by using fixed encoding vectors or by removing some of the positional encoding vectors.
Characterizing Output Bottlenecks of a Production Supercomputer

This article studies the I/O write behaviors of the Titan supercomputer and its Lustre parallel file stores under production load. The results can inform the design, deployment, and configuration of file systems along with the design of I/O software in the application, operating system, and adaptive I/O libraries. We propose a statistical benchmarking methodology to measure write performance across I/O configurations, hardware settings, and system conditions. Moreover, we introduce two relative measures to quantify the write-performance behaviors of hardware components under production load. In addition to designing experiments and benchmarking on Titan, we verify the experimental results on one real application and one real application I/O kernel, XGC and HACC IO, respectively. These two are representative and widely used to address the typical I/O behaviors of applications. In summary, we find that Titan’s I/O system is variable across the machine at fine time scales. This variability has two major implications. First, stragglers lessen the benefit of coupled I/O parallelism (striping). Peak median output bandwidths are obtained with parallel writes to many independent files, with no striping or write sharing of files across clients (compute nodes). I/O parallelism is most effective when the application—or its I/O libraries—distributes the I/O load so that each target stores files for multiple clients and each client writes files on multiple targets in a balanced way with minimal contention. Second, our results suggest that the potential benefit of dynamic adaptation is limited. In particular, it is not fruitful to attempt to identify “good locations” in the machine or in the file system: component performance is driven by transient load conditions and past performance is not a useful predictor of future performance. For example, we do not observe diurnal load patterns that are predictable.
Lazy Product Discovery in Huge Configuration Spaces

Highly-configurable software systems can have thousands of interdependent configuration options across different subsystems. In the resulting configuration space, discovering a valid product configuration for some selected options can be complex and error prone. The configuration space can be organized using a feature model, fragmented into smaller interdependent feature models reflecting the configuration options of each subsystem. We propose a method for lazy product discovery in large fragmented feature models with interdependent features. We formalize the method and prove its soundness and completeness. The evaluation explores an industrial-size configuration space. The results show that lazy product discovery has significant performance benefits compared to standard product discovery, which in contrast to our method requires all fragments to be composed to analyze the feature model. Furthermore, the method succeeds when more efficient, heuristics-based engines fail to find a valid configuration.
UCSD MOLECULE PAGES Properdin

Properdin is currently the only known positive regulator of complement activation and stabilizes the alternative pathway C3 convertase (C3bBb). It is composed of multiple identical protein subunits, with each subunit carrying a separate ligandbinding site. Previous reports suggest that properdin function depends on multiple interactions between its subunits and its ligands. Properdin recognizes several pathogenor damage/danger-associated molecular patterns (PAMPs and DAMPs, respectively) on foreign and apoptotic cells. Once bound, it initiates and propagates the complement response by attracting fluid-phage C3b to recognize surfaces and fostering de novo convertase assembly, and by stabilizing C3 convertase complexes (C3bBbfP). Therefore, it is central to continuous deposition of the activated complement fragment C3b on the surfaces of the pathogens, which it achieves by preventing the dissociation of the Bb catalytic subunit from the inherently labile C3bBb complexes.
Maternal effects and urbanization: Variation of yolk androgens and immunoglobulin in city and forest blackbirds

Abstract Wildlife inhabiting urban environments exhibit drastic changes in morphology, physiology, and behavior. It has often been argued that these phenotypic responses could be the result of micro‐evolutionary changes following the urbanization process. However, other mechanisms such as phenotypic plasticity, maternal effects, and developmental plasticity could be involved as well. To address maternal effects as potential mechanisms, we compared maternal hormone and antibody concentrations in eggs between city and forest populations of European blackbirds (Turdus merula), a widely distributed species for which previous research demonstrated differences in behavioral and physiological traits. We measured egg and yolk mass, yolk concentrations of androgens (androstenedione [A4], testosterone [T], 5α‐dihydrotestosterone [5α‐DHT], and immunoglobulins [IgY]) and related them to population, clutch size, laying order, embryo sex, and progress of breeding season. We show (a) earlier onset of laying in the city than forest population, but similar egg and clutch size; (b) higher overall yolk androgen concentrations in the forest than the city population (sex‐dependent for T); (c) greater among‐female variation of yolk T and 5α‐DHT concentrations in the forest than city population, but similar within‐clutch variation; (d) similar IgY concentrations with a seasonal decline in both populations; and (e) population‐specific positive (city) or negative (forest) association of yolk A4 and T with IgY concentrations. Our results are consistent with the hypotheses that hormone‐mediated maternal effects contribute to differences in behavioral and physiological traits between city and forest individuals and that yolk androgen and immunoglobulin levels can exhibit population‐specific relationships rather than trade‐off against each other.
Original articles Polymorphisms of the beta-1 and beta-2 adrenergic receptors in Polish patients with idiopathic dilated cardiomyopathy

Wstep: Niewydolnośc serca jest powaznym problemem zdrowotnym z powodu ciezkości przebiegu i duzej śmiertelności. Niewydolnośc serca, a w szczegolności kardiomiopatia rozstrzeniowa (ang. dilated cardiomiopathy, DCM), jest chorobą o zlym rokowaniu. Choroba ta charakteryzuje sie rozstrzenią i upośledzoną kurczliwością lewej albo obydwoch komor. Ta wieloczynnikowa choroba ma wazny komponent genetyczny wystepujący w postaci rodzinnej (25–40%). Do tej pory opisano ponad 20 genow odpowiedzialnych za wystąpienie autosomalnej dominującej formy DCM (MIM#115200) oraz liczne geny skorelowane z idiopatyczną formą DCM (ang. idiopathic dilated cardiomiopathy, IDCM), kodujące takie bialka, jak: plytkowy czynnik aktywujący (PAF), acetylohydrolaza, MHC klasy II, receptor endoteliny czy syntaza aldosteronu. Polimorfizmy receptorow adrenergicznych beta-1 i beta-2 (b1-AR i b2-AR) takze zostaly opisane jako czynniki mające wplyw na wystąpienie i przebieg IDCM. Receptory b1-AR i b2-AR są polączone funkcjonalnie z bialkiem G, ktore odgrywa wazną role w regulacji pracy serca. Szlaki b1-AR i b2-AR ulegają zmianie w przebiegu IDCM. Ostatnio pojawilo sie kilka prac opisujących wplyw polimorfizmow wystepujących w genach kodujących b1-AR i b2-AR, w szczegolności Ser49Gly, Arg389Gly w b1-AR oraz Arg16Gly, Gln27Glu, Thr164Ile w b2-AR. Cel: Zbadanie czestości wystepowania ww. polimorfizmow u chorych z IDCM w porownaniu z grupą kontrolną w polskiej populacji. Metody: Badania przeprowadzono w grupie niespokrewnionych chorych z IDCM (97 osob) w porownaniu z grupą kontrolną, ktorą stanowili zdrowi dawcy krwi (105 osob). Polimorfizmy genow kodujących b1-AR: Gly49Gly, Arg389Gly, i b2-AR: Arg16Gly, Gln27Glu, Thr164Ile, określono metodą RFLP (restriction fragment length polymorphisms). Wyniki: Nie znaleziono zadnych statystycznie istotnych roznic w dystrybucji poszczegolnych genotypow ani w czestości wystepowania poszczegolnych alleli analizowanych polimorfizmow miedzy grupą badaną a kontrolną. Analiza sprzezen poszczegolnych polimorfizmow nie wykazala zwiekszonej czestości wystepowania genotypow b2-AR: Gly16Gln27, Gly16Glu27 i Arg16Gln27, osobno lub w kombinacji z allelami b1-AR: Arg389, u chorych z IDCM. Wnioski: Nasze dane pokazaly, ze badane polimorfizmy receptorow beta-adrenergicznych nie odgrywają istotnej roli u chorych z IDCM w polskiej populacji.
Effects of a levo-5-hydroxytryptophan-dihydroergocristine combination on depression and neuropsychic performance: a double-blind placebo-controlled clinical trial in elderly patients.

: Fifty elderly patients (mean age, 68 years) affected by depression were treated with a combination (P3007) containing 3 mg of dihydroergocristine and 100 mg of levo-5-hydroxytryptophan or placebo for 60 days in a double-blind trial. Efficacy of treatment was evaluated by means of neuropsychic tests and rating scales for depression before treatment and after 30 and 60 days. Patients treated with the drug combination showed significant improvements in their depressive state and psychic performance, whereas no change was observed in patients receiving placebo. The treatment was well tolerated.
Influência dos indicadores de risco nas diferentes etapas da Triagem Auditiva Neonatal

Purpose To determine risk indicators for hearing loss affecting different evaluation steps of a universal newborn hearing screening program. Methods Longitudinal, retrospective study of newborn hearing screening in a tertiary public hospital, including 832 newborns born between January and December 2012. Transient evoked otoacoustic emissions were measured at the first hearing evaluation in all newborns and retested in cases of “failure”. When a “failure” result persisted, auditory brainstem responses (ABR) was performed. All newborns with risk indicator for hearing loss were evaluated with ABR screening regardless of the outcome of the otoacoustic emissions test. Results The presence of at least one risk indicator for hearing loss, associated or not with craniofacial malformations, genetic syndromes and birth weight below 1500 g significantly increased the chances of “failure” in the otoacoustic emissions test. Meningitis and craniofacial malformations significantly increased the odds of an abnormal ABR. Two newborns with normal otoacoustic emissions were diagnosed with auditory neuropathy. Conclusion Craniofacial malformation was an indicator strongly associated with a diagnosis of deafness, regardless of the hearing screening being performed by otoacoustic emissions or ABR at different steps of a universal newborn hearing screening program. This finding justifies continuous and systematic monitoring of the screening service seeking quality improvement of the newborn health hearing program.
Evaluating Personalised Website Ranking Using Small Scale User Feedback : A User Study

This thesis evaluates the ranking quality of a web browser extension search engine that uses explicit relevance feedback to learn a personalized model. A user study is conducted to collect a small scale data that will be used in the evaluation process and the comparison with classi cation SVM and SVM Rank. We conclude that the learned personalized model enhances the ranking performance and outperforms the original rank, classi cation SVM and SVM Rang in a small-scale data.
Effects of Jinghuaweikang Capsules Combined with the Standard Triple Therapy in the Treatment of Chronic Gastritis

Objective: To observe the efficacy of Jinghuaweikang capsules combined with triple therapy in the treatment of chronic gastritis.Methods: 148 patients with Hp-positive gastritis were selected,of which 77 were given Jinghuaweikang and the triple therapy as the treatment group,and 71 were given only the triple therapy as the control group.The efficacy indexes were Hp eradication rate,effectiveness and efficiency of clinical symptom improvement and safety of the therapy.Results: Hp eradication rate of the treatment group and control group were 77.9% and 62%,respectively.There was a statistically significant difference between the two groups(P0.05). The improvement of main symptoms was better in the treatment group than the control group.Conclusion: Hp eradication rate and the efficient and effective rate of clinical symptom improvement of Jinghuaweikang combined with triple therapy were higher than the standard triple therapy.No significant adverse reactions were observed.Therefore,integrative Jinghuaweikang triple therapy could be a new treatment for chronic gastritis therapy.
Generalized Product Quantization Network for Semi-supervised Hashing

Learning to hash has achieved great success in image retrieval due to its low storage cost and fast search speed. In recent years, hashing methods that take advantage of deep learning have come into the spotlight with some positive outcomes. However, these approaches do not meet expectations unless expensive label information is sufﬁcient. To resolve this issue, we propose the ﬁrst quantization-based semi-supervised hashing scheme: G eneralized P roduct Q uantization ( GPQ ) network. We de-sign a novel metric learning strategy that preserves semantic similarity between labeled data, and employ entropy regularization term to fully exploit inherent potentials of unlabeled data. Our solution increases the generalization capacity of the hash function, which allows overcoming previous limitations in the retrieval community. Extensive experimental results demonstrate that GPQ yields state-of-the-art performance on large-scale real image benchmark datasets.
Paracetamol Toxicity: Influence Of Ageing, Frailty, Resveratrol And Sirt1

S PRESENTED AT CONFERENCES Kane A, Mitchell SJ, Huizer-Pajkos A, Mach J, Cogger V, le Couteur D, de Cabo R & Hilmer SN. Resveratrol and SIRT1 do not protect against paracetamol toxicity. 44 Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists (ASCEPT) Annual Scientific Meeting, Oral Presentation, Melbourne, 7-11 Dec 2014. Kane A, Mitchell SJ, de Cabo R, Howlett SE & Hilmer SN. A validated mouse frailty index to assess longevity interventions: Impact of calorie restriction and resveratrol. 44 Australasian Society of Clinical and Experimental Pharmacologists and Toxicologists (ASCEPT) Annual Scientific Meeting, Poster Presentation, Melbourne, 7-11 Dec 2014. Kane A, Mitchell SJ, de Cabo R, Howlett SE & Hilmer SN. A Validated Mouse Frailty Index: Impact of Factors That Affect Lifespan. Australian Association of Gerontology 48 National Conference. Poster Presentation, Adelaide, 26-28 November 2014.
A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility

Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results. However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists' advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical considerations of sharing. This paper provides practical, actionable advice on how to actually share data alongside research. The key message is sharing data falls on a continuum, and entering it should come with minimal barriers.
Who is the Centre of the Movie Universe? Using Python and NetworkX to Analyse the Social Network of Movie Stars

This paper provides the technical details of an article originally published in The Conversation in February 2020. The purpose is to use centrality measures to analyse the social network of movie stars and thereby identify the most "important" actors in the movie business. The analysis is presented in a step-by-step, tutorial-like fashion and makes use of the Python programming language together with the NetworkX library. It reveals that the most central actors in the network are those with lengthy acting careers, such as Christopher Lee, Nassar, Sukumari, Michael Caine, Om Puri, Jackie Chan, and Robert De Niro. We also present similar results for the movie releases of each decade. These indicate that the most central actors since the turn of the millennium include people like Angelina Jolie, Brahmanandam, Samuel L. Jackson, Nassar, and Ben Kingsley.
Controllable Descendant Face Synthesis

Kinship face synthesis is an interesting topic raised to answer questions like "what will your future children look like? ". Published approaches to this topic are limited. Most of the existing methods train models for one-versus-one kin relation, which only consider one parent face and one child face by directly using an auto-encoder without any explicit control over the resemblance of the synthesized face to the parent face. In this paper, we propose a novel method for controllable descendant face synthesis, which models two-versus-one kin relation between two parent faces and one child face. Our model consists of an inheritance module and an attribute enhancement module, where the former is designed for accurate control over the resemblance between the synthesized face and parent faces, and the latter is designed for control over age and gender. As there is no large scale database with father-mother-child kinship annotation, we propose an effective strategy to train the model without using the ground truth descendant faces. No carefully designed image pairs are required for learning except only age and gender labels of training faces. We conduct comprehensive experimental evaluations on three public benchmark databases, which demonstrates encouraging results.
Data‐Driven Super‐Parameterization Using Deep Learning: Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning

To make weather and climate models computationally affordable, small‐scale processes are usually represented in terms of the large‐scale, explicitly resolved processes using physics‐based/semi‐empirical parameterization schemes. Another approach, computationally more demanding but often more accurate, is super‐parameterization (SP). SP involves integrating the equations of small‐scale processes on high‐resolution grids embedded within the low‐resolution grid of large‐scale processes. Recently, studies have used machine learning (ML) to develop data‐driven parameterization (DD‐P) schemes. Here, we propose a new approach, data‐driven SP (DD‐SP), in which the equations of the small‐scale processes are integrated data‐drivenly (thus inexpensively) using ML methods such as recurrent neural networks. Employing multiscale Lorenz 96 systems as the testbed, we compare the cost and accuracy (in terms of both short‐term prediction and long‐term statistics) of parameterized low‐resolution (PLR) SP, DD‐P, and DD‐SP models. We show that with the same computational cost, DD‐SP substantially outperforms PLR and is more accurate than DD‐P, particularly when scale separation is lacking. DD‐SP is much cheaper than SP, yet its accuracy is the same in reproducing long‐term statistics (climate prediction) and often comparable in short‐term forecasting (weather prediction). We also investigate generalization: when models trained on data from one system are applied to a more chaotic system, we find that models often do not generalize, particularly when short‐term prediction accuracies are examined. However, we show that transfer learning, which involves re‐training the data‐driven model with a small amount of data from the new system, significantly improves generalization. Potential applications of DD‐SP and transfer learning in climate/weather modeling are discussed.