Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining self-defining memories and aggression in a sample of criminal offenders

ABSTRACT Self-defining memories (SDMs) are a type of autobiographical memory that people use as a narrative way to explain their self-identity. We sought to examine the relationships between SDMs, aggression, and criminality in a sample of men, 18–64 years of age, recruited in Spain. The sample included three groups: incarcerated criminal offenders with mental illness, incarcerated criminal offenders without mental illness, and healthy community controls. Analyses of the relationship between SDMs and criminal status demonstrated that incarcerated offenders, regardless of mental health status, endorsed phenomenological characteristics of SDMs of their transgressive self at a higher level than community controls. Aggression differed across all three groups, such that inmates demonstrated higher levels of trait aggression than community controls. The associations between aggression and age at event of SDMs did not differ between groups. Further investigation of the relationship between SDMs, aggression, and criminal status may augment understanding of factors of criminality.
Investigating Neural Sensorimotor Mechanisms Underlying Flight Expertise in Pilots: Preliminary Data From an EEG Study

Over the last decade, the efforts toward unraveling the complex interplay between the brain, body, and environment have set a promising line of research that utilizes neuroscience to study human performance in natural work contexts such as aviation. Thus, a relatively new discipline called neuroergonomics is holding the promise of studying the neural mechanisms underlying human performance in pursuit of both theoretical and practical insights. In this work, we utilized a neuroergonomic approach by combining insights from ecological psychology and embodied cognition to study flight expertise. Specifically, we focused on the Mirror Neuron system as a key correlate for understanding the interaction between an individual and the environment, suggesting that it can be used to index changes in the coupling of perception-action associated with skill development. In this study, we measured the EEG mu suppression as a proxy of the Mirror Neuron system in experts (pilots) and novices while performing a distance estimation task in a landing scenario. To survey the specificity of this measure, we considered central, parietal and occipital electrode pools and analyzed alpha (8–13 Hz) and beta (18–25 Hz) rhythm bands. We hypothesized that in experts vs. novices, specific neural sensorimotor brain activity would underpin the connection between perception and action in an in-flight context. Preliminary results indicate that alpha and beta rhythm suppression was area-specific irrespective of groups, present in the central electrodes placed over the motor areas. Group analysis revealed that specifically alpha mu rhythm, but not beta, was significantly more suppressed in pilots vs. novices. Complementing these findings we found a trend in which the strength of mu suppression increased with the sense of presence experienced by the pilots. Such sensorimotor activation is in line with the idea that for a pilot, a distance judgment is intimately associated with the function of landing. This reflects the ability to use optical invariants to see the world in terms of the capabilities of the aircraft (e.g., reachability and glide angle). These preliminary findings support the role of embodied simulation mechanisms in visual perception and add important insights into a practical understanding of flight expertise, suggesting sensorimotor mechanisms as potential neuro-markers.
Assessment of the effectiveness of PMTCT program in eight service delivery points in North Central Nigeria

Background Mother-to-child transmission (MTCT) of HIV is one of the commonest avenues through which infants are infected with HIV. To achieve an HIV-free generation, MTCT of HIV should be eliminated. Nigeria began prevention of mother-to-child transmission (PMTCT) services 13 years ago, but it still contributes to over one-third of global MTCT burden. We set out to explore and define the effectiveness of PMTCT in selected sites in North Central Nigeria. Methods We conducted a retrospective secondary data analysis at eight service delivery points in two states. One thousand four hundred and fifty-four mother–infant pair data sets from 2012 to 2016 were extracted and analyzed. Maternal/infant antiretroviral (ARV) services, early infant diagnosis (EID), and final outcomes were reviewed to examine the predictors of MTCT of HIV in these centers. Results We retrieved 1,454 mother–infant pair data sets. While 89.5% (1,302) of positive pregnant women (PPW) and 92.2% (1,340) of HIV-exposed infants (HEIs) received ARV prophylaxis/ARV treatment (ART), 88.4% (1,285) infants were breastfed with 32.5% still receiving breast milk at the time of dry blood spot (DBS) collection. EID PCR positivity rate was 3.5% (range, 0.0%–11.1%). Facility of delivery (χ2=24.99, P<0.00), mother on ARV (χ2=48.8, P<0.00), mother having received ARV prophylaxis (χ2=89.59, P<0.00), infant having received ARV prophylaxis (χ2=58.56, P<0.00), and baby having received cotrimoxazole (χ2=55.24, P<0.00) all significantly prevented positive EID results. However, mode of delivery and breastfeeding were not significantly associated with positive EID results. Conclusion This study supports PMTCT services as it minimizes the transfer of HIV from infected mothers to HEIs. To eliminate HIV and achieve zero new HIV infections, every HIV-positive pregnant woman should receive ARV prophylaxis and should be supported postdelivery to prevent transfer of infection to the newborn. Also, HEIs should receive timely ARV and cotrimoxazole prophylaxis.
Access and adherence to medications for the primary and secondary prevention of atherosclerotic cardiovascular disease in Singapore: a qualitative study

Background Atherosclerotic cardiovascular disease (ASCVD) is a growing public health threat globally, and many individuals remain undiagnosed, untreated, and their condition remains uncontrolled. The key to effective ASCVD management is adherence to pharmacotherapy, and non-adherence has been associated with an increased risk of cardiovascular events and complications such as stroke, further impacting a patient’s ability to be adherent. Our qualitative study aimed to explore factors influencing medication adherence in the primary and secondary prevention of ASCVD in Singapore. We propose a synthesized framework, which expands on current understandings of the factors of medication adherence, as a frame of analysis in this study. Methods We conducted in-depth, semi-structured interviews with 20 patients over the age of 40 with ASCVD and/or its risk factors in Singapore. QSR Nvivo 11 was used to conduct thematic analysis using an inductive approach. Results Using a synthesized framework, we reported that complex medication regimens, the lack of support received during regimen changes, and the perceived seriousness of a condition could impact a patient’s medication adherence. Key findings suggest that the relationship between health care professionals and patients impacted patient acceptability of the medication regimen and consequently medication adherence. Different patient beliefs regarding diagnosis, medication, and adherence had some bearing on the ability to perceive the need to adhere to their medication. Patients also reported that they could afford medication, sometimes with the help of family members. Patients also largely reported not needing help managing their medication, considering it an individual responsibility. Conclusion We identified key factors which future interventions looking to improve medication adherence ought to consider. These include changing patient perceptions of health systems, diagnosis, medication, and adherence; patient-centeredness in developing interventions that facilitate adherence through building self-efficacy and stronger support networks via patient empowerment and engagement; decreasing patient co-payments on medication; and cultivating a trusting patient–provider relationship.
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations

Machine learning models are vulnerable to simple model stealing attacks if the adversary can obtain output labels for chosen inputs. To protect against these attacks, it has been proposed to limit the information provided to the adversary by omitting probability scores, significantly impacting the utility of the provided service. In this work, we illustrate how a service provider can still provide useful, albeit misleading, class probability information, while significantly limiting the success of the attack. Our defense forces the adversary to discard the class probabilities, requiring significantly more queries before they can train a model with comparable performance. We evaluate several attack strategies, model architectures, and hyperparameters under varying adversarial models, and evaluate the efficacy of our defense against the strongest adversary. Finally, we quantify the amount of noise injected into the class probabilities to mesure the loss in utility, e.g., adding 1.26 nats per query on CIFAR-10 and 3.27 on MNIST. Our evaluation shows our defense can degrade the accuracy of the stolen model at least 20%, or require up to 64 times more queries while keeping the accuracy of the protected model almost intact.
Emergency medical systems education may improve knowledge of pre-hospital stroke triage protocols

Background Following the results of randomized clinical trials supporting the use of mechanical thrombectomy (MT) with tissue plasminogen activator for emergent large vessel occlusion (ELVO), our state Stroke Task Force convened to: update legislation to recognize differences between Primary Stroke Centers (PSCs) and Comprehensive Stroke Centers (CSCs); and update Emergency Medical Services (EMS) protocols to triage direct transport of suspected ELVO patients to CSCs. Purpose We developed a single-session training curriculum for EMS personnel focused on the Los Angeles Motor Scale (LAMS) score, its use to correctly triage patients as CSC-appropriate in the field, and our state-wide EMS stroke protocol. We assessed the effect of our training on EMS knowledge. Methods We assembled a focus group to develop a training curriculum and assessment questions that would mimic real-life conditions under which EMS personnel operate. Ten questions were formulated to assess content knowledge before and after training, and scores were compared using generalized mixed models. Results Training was provided for 179 EMS providers throughout the state. Average pre-test score was 52.4% (95% CI 49% to 56%). Average post-test score was 85.6% (83%–88%, P<0.0001). Each of the 10 questions was individually assessed and all showed significant gains in EMS knowledge after training (P<0.0001). Conclusions A brief educational intervention results in substantial improvements in EMS knowledge of prehospital stroke severity scales and severity-based field triage protocols. Further study is needed to establish whether these gains in knowledge result in improved real-world performance.
High‐Parameter Mass Cytometry Evaluation of Relapsed/Refractory Multiple Myeloma Patients Treated with Daratumumab Demonstrates Immune Modulation as a Novel Mechanism of Action

Daratumumab is a CD38‐targeted human monoclonal antibody with direct anti‐myeloma cell mechanisms of action. Flow cytometry in relapsed and/or refractory multiple myeloma (RRMM) patients treated with daratumumab revealed cytotoxic T‐cell expansion and reduction of immune‐suppressive populations, suggesting immune modulation as an additional mechanism of action. Here, we performed an in‐depth analysis of the effects of daratumumab on immune‐cell subpopulations using high‐dimensional mass cytometry. Whole‐blood and bone‐marrow baseline and on‐treatment samples from RRMM patients who participated in daratumumab monotherapy studies (SIRIUS and GEN501) were evaluated with high‐throughput immunophenotyping. In daratumumab‐treated patients, the intensity of CD38 marker expression decreased on many immune cells in SIRIUS whole‐blood samples. Natural killer (NK) cells were depleted with daratumumab, with remaining NK cells showing increased CD69 and CD127, decreased CD45RA, and trends for increased CD25, CD27, and CD137 and decreased granzyme B. Immune‐suppressive population depletion paralleled previous findings, and a newly observed reduction in CD38+ basophils was seen in patients who received monotherapy. After 2 months of daratumumab, the T‐cell population in whole‐blood samples from responders shifted to a CD8 prevalence with higher granzyme B positivity (P = 0.017), suggesting increased killing capacity and supporting monotherapy‐induced CD8+ T‐cell activation. High‐throughput cytometry immune profiling confirms and builds upon previous flow cytometry data, including comparable CD38 marker intensity on plasma cells, NK cells, monocytes, and B/T cells. Interestingly, a shift toward cytolytic granzyme B+ T cells was also observed and supports adaptive responses in patients that may contribute to depth of response. © 2018 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
Fast Online Object Tracking and Segmentation: A Unifying Approach

In this paper we illustrate how to perform both visual object tracking and semi-supervised video object segmentation, in real-time, with a single simple approach. Our method, dubbed SiamMask, improves the offline training procedure of popular fully-convolutional Siamese approaches for object tracking by augmenting their loss with a binary segmentation task. Once trained, SiamMask solely relies on a single bounding box initialisation and operates online, producing class-agnostic object segmentation masks and rotated bounding boxes at 55 frames per second. Despite its simplicity, versatility and fast speed, our strategy allows us to establish a new state-of-the-art among real-time trackers on VOT-2018, while at the same time demonstrating competitive performance and the best speed for the semi-supervised video object segmentation task on DAVIS-2016 and DAVIS-2017.
Osteitis is associated with dysregulated pro‐osteoblastic activity in patients with nasal polyps

The overlying inflammatory mucosa plays a crucial role in the initiation of osteitis; however, the molecular mechanism is unclear. The objective of this study was to explore the bone morphogenetic protein (BMP) pathway and to correlate the expression of key signaling molecules with the degree of osteitis in patients with chronic rhinosinusitis with nasal polyps (CRSwNP).
Psychology and Public Policy: A 50-Year Adventure

This article provides an overview of my research on children, families, and the law over the past 50 years, while also providing the context for psychological research and action during this time period. The general framework requires using autobiographical information to understand my primary goal of contributing to a research base for intervention and policy change, especially within the juvenile justice system. Overall, my research and action endeavors have been related to prevention, children, and the legal system with changing foci over time: (a) changing juvenile correctional settings, (b) understanding and preventing child sexual abuse, (c) intervening with violent juveniles, (d) exploiting the myth of extreme recidivism rates among juvenile sex offenders, (e) understanding decision-making among youth in legal contexts, and (f) examining violence in teen dating relationships. The article concludes with a brief discussion of dissemination of research findings to policymakers.
Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling

Closed-loop control of functional electrical stimulation coupled with motorized assistance to induce cycling is a rehabilitative strategy that can improve the mobility of people with neurological conditions (NCs). However, robust control methods, which are currently pervasive in the cycling literature, have limited effectiveness due to the use of high stimulation intensity leading to accelerated fatigue during cycling protocols. This paper examines the design of a distributed repetitive learning controller (RLC) that commands an independent learning feedforward term to each of the six stimulated lower-limb muscle groups and an electric motor during the tracking of a periodic cadence trajectory. The switched controller activates lower limb muscles during kinematic efficient regions of the crank cycle and provides motorized assistance only when most needed (i.e., during the portions of the crank cycle where muscles evoke a low torque output). The controller exploits the periodicity of the desired cadence trajectory to learn from previous control inputs for each muscle group and electric motor. A Lyapunov-based stability analysis guarantees asymptotic tracking via an invariance-like corollary for nonsmooth systems. The switched distributed RLC was evaluated in experiments with seven able-bodied individuals and five participants with NCs. A mean root-mean-squared cadence error of 3.58 ± 0.43 revolutions per minute (RPM) (0.07 ± 7.35% average error) and 4.26 ± 0.84 RPM (0.1 ± 8.99% average error) was obtained for the healthy and neurologically impaired populations, respectively.
Clinical significance of the mutational landscape and fragmentation of circulating tumor DNA in renal cell carcinoma

Reliable biomarkers for renal cell carcinoma (RCC) have yet to be determined. Circulating tumor DNA (ctDNA) is an emerging resource to detect and monitor molecular characteristics of various tumors. The present study aims to clarify the clinical utility of ctDNA for RCC. Fifty‐three patients histologically diagnosed with clear cell RCC were enrolled. Targeted sequencing was carried out using plasma cell‐free DNA (cfDNA) and tumor DNA. We applied droplet digital PCR (ddPCR) to validate detected mutations. cfDNA fragment size was also evaluated using a microfluidics‐based platform and sequencing. Proportion of cfDNA fragments was defined as the ratio of small (50‐166 bp) to large (167‐250 bp) cfDNA fragments. Association of mutant allele frequency of ctDNA with clinical course was analyzed. Prognostic potential was evaluated using log‐rank test. A total of 38 mutations across 16 (30%) patients were identified from cfDNA, including mutations in TP53 (n = 6) and VHL (n = 5), and median mutant allele frequency of ctDNA was 10%. We designed specific ddPCR probes for 11 mutations and detected the same mutations in both cfDNA and tumor DNA. Positive ctDNA was significantly associated with a higher proportion of cfDNA fragments (P = .033), indicating RCC patients with ctDNA had shorter fragment sizes of cfDNA. Interestingly, the changes of mutant allele frequency in ctDNA concurrently correlated with clinical course. Positive ctDNA and fragmentation of cfDNA were significantly associated with poor cancer‐specific survival (P < .001, P = .011). In conclusion, our study shows the clinical utility of ctDNA status and cfDNA fragment size as biomarkers for prognosis and disease monitoring in RCC.
Disparities Between HIV Testing Levels and the Self-Reported HIV-Negative Status of Sexually Active College Students

The methodological issues of using self-reported human immunodeficiency virus (HIV) testing history to determine HIV infection status are understudied. This study aimed to assess the disparities between HIV testing history and self-reported HIV status, with a specific objective of estimating the prevalence of self-reported HIV-negative status in sexually active students who had never had an HIV test (inaccurate self-disclosure). Participants were recruited from four Hong Kong universities; 255 students were included in the analysis, with 16.1% of participants being men who have sex with men (MSM). Overall, 81.6% of participants reported they never had been tested for HIV, with inaccurate self-disclosure by 65.9% of participants. Among participants who used condoms inconsistently, only 20.2% had had HIV tests, with inaccurate self-disclosure by 66.7% of subjects. Among MSM students, only 36.6% had had HIV tests, with inaccurate self-disclosure by 61.0% of participants. Among MSM students who used condoms inconsistently, only 35.1% had had HIV tests, with inaccurate self-disclosure by 62.2% of participants. The findings raise concerns about the use of self-reported HIV status in clinical practice and research. The low prevalence of HIV testing found suggests that interventions to promote HIV testing should be continued.
Bioinformatics analysis reveals different gene expression patterns in the annulus fibrosis and nucleus pulpous during intervertebral disc degeneration

Degeneration of the intervertebral disc (IVD), which consists of the annulus fibrosus (AF) and nucleus pulposus (NP), is a multifactorial physiological process associated with lower back pain. Despite decades of research, the knowledge of the underlying molecular mechanisms of IVD degeneration (IDD) has remained limited. The present study aimed to reveal the differential gene expression patterns in AF and NP during the process of IDD and to identify key biomarkers contributing to these differences. The microarray dataset GSE70362 containing 24 AF and 24 NP samples was retrieved from the Gene Expression Omnibus database. Of these, 8 healthy samples were discarded. GeneSpring11.5 software was employed to identify differentially expressed genes (DEGs). Metascape online tools were used to perform enrichment analyses. Finally, the DEGs were mapped with the Search Tool for the Retrieval of Interacting Genes, and a protein-protein interaction (PPI) network was constructed in Cytoscape software. A total of 87 DEGs were identified. Gene ontology enrichment revealed that these DEGs were mainly involved in the inflammatory response, the extracellular matrix and RNA polymerase II transcription factor activity. Pathway enrichment revealed that the DEGs were mainly involved in the transforming growth factor (TGF-β) and estrogen signaling pathways. Matrix metalloproteinase (MMP)1 and interleukin (IL)6 were included in the genes enriched in rheumatoid arthritis, whereas bone morphogenetic protein (BMP)2 and thrombospondin 1 (THBS1) were among the genes enriched in the TGF-β signaling pathway. In the PPI network, IL6 was identified as the central gene. In conclusion, as MMP1 has been demonstrated degrade collagen III at higher rates compared with other types of collagen (which is at a higher quantity in AF than NP), collagen types may be in different distribution patterns, which may contribute to the upregulation of MMP1 in AF. Differences in the expression of BMP2, ESR1 and THBS1 may explain for the pathological differences between AF and NP. IL6 may have a key role in different degeneration processes in AF and NP.