Miracle-dz/UniFAR-FTUs huggingface dataset:
Sex- and Development-Dependent Responses of Rat Microglia to Pro- and Anti-inflammatory Stimulation

Addressing potential sex differences in pre-clinical studies is crucial for developing therapeutic interventions. Although sex differences have been reported in epidemiological studies and from clinical experience, most pre-clinical studies of neuroinflammation use male rodents; however, sexual dimorphisms in microglia might affect the CNS inflammatory response. Developmental changes are also important and, in rodents, there is a critical period of sexual brain differentiation in the first 3 weeks after birth. We compared rat microglia from sex-segregated neonates (P1) and at about the time of weaning (P21). To study transitions from a basal homeostatic state (untreated), microglia were subjected to a pro-inflammatory (IFNγ + TNFα) or anti-inflammatory (IL-4) stimulus. Responses were compared by quantifying changes in nitric oxide production, migration, and expression of nearly 70 genes, including inflammatory mediators and receptors, inflammasome molecules, immune modulators, and genes that regulate microglial physiological functions. No sex differences were seen in transcriptional responses in either age group but the IL-4-evoked migration increase was larger in male cells at both ages. Protein changes for the hallmark molecules, NOS2, COX-2, PYK2 and CD206 correlated with mRNA changes. P1 and P21 microglia showed substantial differences, including expression of genes related to developmental roles. That is, P21 microglia had a more mature phenotype, with higher basal and stimulated levels of many inflammatory genes, while P1 cells had higher expression of phagocytosis-related molecules. Nevertheless, cells of both ages responded to IL-4 and IFNγ + TNFα. We examined the Kv1.3 potassium channel (a potential target for modulating neuroinflammation) and the Kir2.1 channel, which regulate several microglia functions. Kv1.3 mRNA (Kcna3) was higher at P21 under all conditions and male P21 cells had higher mRNA and Kv currents in response to IFNγ + TNFα. Overall, numerous transcriptional and functional responses of microglia changed during the first 3 weeks after birth but few sex-dependent changes were seen.
Museum specimens provide novel insights into changing plant–herbivore interactions

Mounting evidence shows that species interactions may mediate how individual species respond to climate change. However, long-term anthropogenic effects on species interactions are poorly characterized owing to a lack of data. Insect herbivory is a major ecological process that represents the interaction between insect herbivores and their host plants, but historical data on insect damage to plants is particularly sparse. Here, we suggest that museum collections of insects and plants can fill key gaps in our knowledge on changing trophic interactions, including proximate mechanisms and the net outcomes of multiple global change drivers across diverse insect herbivore–plant associations. We outline theory on how global change may affect herbivores and their host plants and highlight the unique data that could be extracted from museum specimens to explore their shifting interactions. We aim to provide a framework for using museum specimens to explore how some of the most diverse co-evolved relationships are responding to climate and land use change. This article is part of the theme issue ‘Biological collections for understanding biodiversity in the Anthropocene’.
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos

Motion of the human body is the critical cue for understanding and characterizing human behavior in videos. Most existing approaches explore the motion cue using optical flows. However, optical flow usually contains motion on both the interested human bodies and the undesired background. This "noisy" motion representation makes it very challenging for pose estimation and action recognition in real scenarios. To address this issue, this paper presents a novel deep motion representation, called PoseFlow, which reveals human motion in videos while suppressing background and motion blur, and being robust to occlusion. For learning PoseFlow with mild computational cost, we propose a functionally structured spatial-temporal deep network, PoseFlow Net (PFN), to jointly solve the skeleton localization and matching problems of PoseFlow. Comprehensive experiments show that PFN outperforms the state-of-the-art deep flow estimation models in generating PoseFlow. Moreover, PoseFlow demonstrates its potential on improving two challenging tasks in human video analysis: pose estimation and action recognition.
Now You Shake Me: Towards Automatic 4D Cinema

We are interested in enabling automatic 4D cinema by parsing physical and special effects from untrimmed movies. These include effects such as physical interactions, water splashing, light, and shaking, and are grounded to either a character in the scene or the camera. We collect a new dataset referred to as the Movie4D dataset which annotates over 9K effects in 63 movies. We propose a Conditional Random Field model atop a neural network that brings together visual and audio information, as well as semantics in the form of person tracks. Our model further exploits correlations of effects between different characters in the clip as well as across movie threads. We propose effect detection and classification as two tasks, and present results along with ablation studies on our dataset, paving the way towards 4D cinema in everyone's homes.
Chemical constituents and allelopathic activity of Machaerium eriocarpum Benth.

Abstract The analysis by HPLC-PDA of the hydroalcoholic extract of the leaves of M. eriocarpum together with the injection of the fractions containing the already identified metabolites allowed the detection of at least 5 flavonoids, of which two are derived from apigenin and three from luteolin. After isolating larger amounts of isovitexin (I), assays were performed to evaluate the allelopathic activity together with the crude extract. The results show that the initial inhibition indexes were very similar to those observed in the treatments with F17 (Fraction enriched in isovitexin) and F18 (isovitexin), mainly in the concentrations of 500 and 1000 mg L−1. The index of the number of lateral roots, an increase of the inhibitory effect is observed with the increase of the concentration of M. eriocarpum extract. Graphical Abstract
Predictors of health care workers’ support for discriminatory treatment and care of people who inject drugs

ABSTRACT Complex lifestyle issues associated with injecting drug use may make it difficult to provide care to people who inject drugs (PWID). Negative attitudes towards PWID can undermine the provision of good quality care, hence, it is important to explore the impact of health workers’ attitudes in the delivery of care to PWID. An online survey was administered to 336 health workers assessing contact with and attitudes towards PWID, concerns about these clients as well as whether health workers feel stigmatised by working with PWID. Health workers were also asked whether they supported the discriminatory behaviour of a colleague in a series of hypothetical scenarios about working with PWID. In correlational analyses, negative attitudes towards PWID, greater concerns about the behaviour of PWID, not feeling stigmatised by colleagues and seeing fewer clients who inject were associated with greater support for discriminatory actions in the hypothetical scenarios. Multiple regression analysis results showed that only attitudes towards PWID and concerns about the behaviour of injecting clients remain independent predictors of participant support for the hypothetical scenarios. This research highlights the role of attitudes toward PWID in understanding health workers’ decisions, practices and potential behaviour.
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions

We address scene layout modeling for recognizing agent-in-place actions, which are actions associated with \textit{agents} who perform them and the \textit{places} where they occur, in the context of outdoor home surveillance. We introduce a novel representation to model the geometry and topology of scene layouts so that a network can generalize from the layouts observed in the training scenes to unseen scenes in the test set. This Layout-Induced Video Representation (LIVR) abstracts away low-level appearance variance and encodes geometric and topological relationships of places to explicitly model scene layout. LIVR partitions the semantic features of a scene into different places to force the network to learn generic place-based feature descriptions which are independent of specific scene layouts; then, LIVR dynamically aggregates features based on connectivities of places in each specific scene to model its layout. We introduce a new Agent-in-Place Action (APA) dataset\footnote{The dataset is pending legal review and will be released upon the acceptance of this paper. } to show that our method allows neural network models to generalize significantly better to unseen scenes.
Semi-supervised Lyrics and Solo-singing Alignment

We propose a semi-supervised algorithm to align lyrics to the corresponding singing vocals. The proposed method transcribes and aligns lyrics to solo-singing vocals using the imperfect transcripts from an automatic speech recognition (ASR) system and the published lyrics. The ASR provides time alignment between vocals and hypothesized lyrical content, while the non-aligned published lyrics correct the hypothesized lyrical content. The effectiveness of the proposed method is validated through three experiments. First, a human listening test shows that 73.32% of our automatically aligned sentence-level transcriptions are correct. Second, the automatically aligned sung segments are used for singing acoustic model adaptation, which reduces the word error rate (WER) of automatic transcription of sung lyrics from 72.08% to 37.15% in an open test. Third, another iteration of decoding and model adaptation increases the amount of reliably decoded segments from 44.40% to 91.96% and further reduces the WER to 36.32%. The proposed framework offers an automatic way to generate reliable alignments between lyrics and solo-singing. A large-scale solo-singing and lyrics aligned corpus can be derived with the proposed method, which will be beneﬁcial for music and singing voice related research.
Real World Experience of Disease Activity in Patients With Rheumatoid Arthritis and Response to Treatment With Varios Biologic DMARDs

The current study investigate the disease activity and effectiveness of treatment in patients with RA on biological disease modifying antirheumatic drugs (bDMARDs) in combination with a conventional synthetic DMARD (csDMARD) and determine whether or not the benefits of different therapies were sustained over a follow up period of 1 year. 124 patients were selected with a mean age 55.26 ± 13, 18SD years, meeting the 1987 ACR and /or ACR/ EULAR (2010) classification criteria for Rheumatoid arthritis (RA). Patients were arranged according to treatment regimens: Tocilizumab (TCL) – 30 patients, Certolizumab (CZP) – 16, Golimumab (GOL) – 22, Etanercept (ETN) 20, Adalimumab (ADA) 20, Rituximab (RTX) – 16. Disease activities was the primary concern. Independent joint assessor evaluated 28 joints on baseline, 6th and 12th month’s thereafter. C-reactive protein (CRP) was used to measure the inflammatory process. DAS28-CRP, clinical disease activity index (CDAI) and simplified disease activity index (SDAI) were calculated. On baseline all of the patients’ groups had severe disease activity (mean DAS28-CRP > 5.2, mean CDAI > 22, mean SDAI > 26. It was noted that, during the 6th month follow-up period all of the treatment groups significantly decreased DAS28-CRP, CDAI, SDAI and reach moderate disease activity. After 6th and 12th months of treatment all of the groups on bDMARDs had significantly lower disease activity. The GOL group reach remission only according to DAS28-CRP: 2.49 ± 0.76, and low disease activity as measured by CDAI: 6.78 ± 4.51 and SDAI 7.80 ± 5.67. The other 5 groups after 12 months reach the level of low disease activity according to the three activity parameters: DAS28-CRP (TCL 3.07 ± 0.73, CZP 3.06 ± 0.65, ETN 2.85 ± 0.55, ADA 3.15 ± 0.82, RTX 2.90 ± 0.70), CDAI (TCL 9.80 ± 4.91, CZP – 9.33 ± 4.22, ETN 7.97 ± 3.80, ADA 10.00 ± 5.25, RTX 7.48 ± 2.99) and SDAI (TCL 10.45 ± 5.14, CZP 9.94 ± 4.43, ETN 9.03 ± 4.25, ADA 10.50 ± 5.61, RTX 8.08 ± 3.24). The therapy with different bDMARDs added to a csDMARD led to very similar results – a minimal disease activity and a state of remission in the GOL treatment group only as per DAS28-CRP.
Borderline Personality Disorder (BPD): In the Midst of Vulnerability, Chaos, and Awe

Borderline personality disorder (BPD) is a chronic psychiatric disorder characterized by pervasive affective instability, self-image disturbances, impulsivity, marked suicidality, and unstable interpersonal relationships as the core dimensions of psychopathology underlying the disorder. Across a wide range of situations, BPD causes significant impairments. Patients with BPD suffer considerable morbidity and mortality compared with other populations. Although BPD is more widely studied than any other personality disorder, it is not understood sufficiently. This paper briefly reviews the recent evidence on the prevalence, etiology, comorbidity, and treatment approaches of borderline personality disorder (BPD) by examining published studies, and aims to offer a more coherent framework for the understanding and management of borderline personality disorder.
Cognitive Profiles and Atrophy Ratings on MRI in Senior Patients With Mild Cognitive Impairment

In this cross-sectional study, we sought to describe cognitive and neuroimaging profiles of Memory clinic patients with Mild Cognitive Impairment (MCI). 51 MCI patients and 51 controls, matched on age, sex, and socio-economic status (SES), were assessed with an extensive neuropsychological test battery that included a measure of intelligence (General Ability Index, “GAI,” from WAIS-IV), and structural magnetic resonance imaging (MRI). MCI subtypes were determined after inclusion, and z-scores normalized to our control group were generated for each cognitive domain in each MCI participant. MR-images were scored by visual rating scales. MCI patients performed significantly worse than controls on 23 of 31 cognitive measures (Bonferroni corrected p = 0.001), and on 8 of 31 measures after covarying for intelligence (GAI). Compared to nonamnestic MCI patients, amnestic MCI patients had lower test results in 13 of 31 measures, and 5 of 31 measures after co-varying for GAI. Compared to controls, the MCI patients had greater atrophy on Schelten's Medial temporal lobe atrophy score (MTA), especially in those with amnestic MCI. The only structure-function correlation that remained significant after correction for multiple comparisons was the MTA—long delay recall domain. Intelligence operationalized as GAI appears to be an important moderator of the neuropsychological outcomes. Atrophy of the medial temporal lobe, based on MTA scores, may be a sensitive biomarker for the functional episodic memory deficits associated with MCI.
Censura das cópias na indústria da moda

Este artigo aborda, por meio de uma pesquisa bibliográfica, a censura da prática das cópias não autorizadas frente à produção na indústria da moda e à legislação favorável à propriedade intelectual. O texto é um excerto de uma pesquisa (LOPES, 2017) do doutorado em Estudos Contemporâneos (DEC) do Instituto de Investigação Interdisciplinar (IIIUC) da Universidade de Coimbra (UC). A censura direcionada à prática das cópias na indústria da moda surge a partir de uma resistência dessa prática em razão de seu intenso poder de transgressão, acesso ao sistema produtivo e alcance do consumo.
Prescribing of psychotropic drugs and indicators for use in residential aged care and residents with dementia

ABSTRACT Introduction: It is well established that there is a high prescribing rate of psychotropic agents in residential aged care (RAC). The appropriateness of these medications has become controversial, given the limited data on efficacy and growing evidence of associated adverse outcomes. Objective: To assess psychotropic prescribing in RAC including identification of potentially inappropriate prescriptions (PIPs) and common psychological and behavioral symptoms indicated for prescribing. These were viewed in context of dementia and different RAC facilities. Methods: Electronic care plans of 779 RAC residents across 12 facilities were examined to elucidate psychotropic prescribing rates, PIPs, and indications for use. Results: One in two residents (48.1%) were prescribed a psychotropic drug. The primary reasons for prescribing were depression (61.5%), anxiety (26.7%), sleep problems (25.4%), agitation (13.7%), psychosis (11.0%), and other behaviors (7.2%). Residents with dementia (56.6%) were more likely to be prescribed a drug for agitation and psychosis, and had a significantly increased prescription rate for antidepressants (OR = 1.50, 95% CI = 1.08–2.08, p = 0.01) and antipsychotics (OR = 1.88, 95% CI = 1.23–2.88, p < 0.01). Conversely, residents with dementia were less likely to receive medication to combat sleeping difficulties, with significantly lower benzodiazepine prescribing (OR = 0.63, 95% CI = 0.44–0.91, p = 0.01). Over half of all psychotropic prescriptions (54.0%) were potentially inappropriate based on the Beers Criteria. There was high variability of prescribing rates between homes. Conclusion: There is a high prescribing rate of potentially inappropriate medications. Residents with dementia are more likely to receive medication for agitation and psychosis, and are less likely to receive medication to combat sleeping difficulties.
Metabolic Pathway of Topramezone in Multiple-Resistant Waterhemp (Amaranthus tuberculatus) Differs From Naturally Tolerant Maize

Waterhemp [Amaranthus tuberculatus (Moq.) Sauer] is a problematic dicot weed in maize, soybean, and cotton production in the United States. Waterhemp has evolved resistance to several commercial herbicides that inhibit the 4-hydroxyphenylpyruvate-dioxygenase (HPPD) enzyme in sensitive dicots, and research to date has shown that HPPD-inhibitor resistance is conferred by rapid oxidative metabolism of the parent compound in resistant populations. Mesotrione and tembotrione (both triketones) have been used exclusively to study HPPD-inhibitor resistance mechanisms in waterhemp and a related species, A. palmeri (S. Wats.), but the commercial HPPD inhibitor topramezone (a pyrazolone) has not been investigated from a mechanistic standpoint despite numerous reports of cross-resistance in the field and greenhouse. The first objective of our research was to determine if two multiple herbicide-resistant (MHR) waterhemp populations (named NEB and SIR) metabolize topramezone more rapidly than two HPPD inhibitor-sensitive waterhemp populations (named SEN and ACR). Our second objective was to determine if initial topramezone metabolite(s) detected in MHR waterhemp are qualitatively different than those formed in maize. An excised leaf assay and whole-plant study investigated initial rates of topramezone metabolism (<24 h) and identified topramezone metabolites at 48 hours after treatment (HAT), respectively, in the four waterhemp populations and maize. Results indicated both MHR waterhemp populations metabolized more topramezone than the sensitive (SEN) population at 6 HAT, while only the SIR population metabolized more topramezone than SEN at 24 HAT. Maize metabolized more topramezone than any waterhemp population at each time point examined. LC-MS analysis of topramezone metabolites at 48 HAT showed maize primarily formed desmethyl and benzoic acid metabolites, as expected based on published reports, whereas SIR formed two putative hydroxylated metabolites. Subsequent LC-MS/MS analyses identified both hydroxytopramezone metabolites in SIR as different hydroxylation products of the isoxazole ring, which were also present in maize 48 HAT but at very low levels. These results indicate that SIR initially metabolizes and detoxifies topramezone in a different manner than tolerant maize.
Identification of Master Regulator Genes of UV Response and Their Implications for Skin Carcinogenesis.

Solar UV radiation is a major environmental risk factor for skin cancer. Despite decades of robust and meritorious investigation, our understanding of the mechanisms underlying UV-induced skin carcinogenesis remain incomplete. We previously performed comprehensive transcriptomic profiling in human keratinocytes following exposure to different UV radiation conditions to generate UV-specific gene expression signatures. In this study, we utilized VIPER, a robust systems biology tool, on UV-specific skin cell gene signatures to identify master regulators (MRs) of UV-induced transcriptomic changes. We identified multiple prominent candidate UV MRs, including forkhead box M1 (FOXM1), thyroid hormone receptor interactor 13, and DNA isomerase II alpha, which play important roles in cell cycle regulation and genome stability. MR protein activity was either activated or suppressed by UV in normal keratinocytes. Intriguingly, many of the UV-suppressed MRs were activated in human skin squamous cell carcinomas (SCCs), highlighting their importance in skin cancer development. We further demonstrated that selective inhibition of FOXM1, whose activity was elevated in SCC cells, was detrimental to SCC cell survival. Taken together, our study uncovered novel UV master regulators that can be explored as new therapeutic targets for future skin cancer treatment.