Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing Resilience: Gay Men’s Response to Systemic Discrimination

Gay men experience marked health disparities compared to heterosexual men, associated with profound discrimination. Resilience as a concept has received growing attention to increase understanding about how gay men promote and protect their health in the presence of adversity. Missing in this literature are the perspectives and experiences of gay men over 40 years. This investigation, drawing on grounded theory methods, examined how gay men over 40 years of age develop resilience over the course of their lives to promote and protect their health. In-depth interviews were undertaken with 25 men ranging between 40 and 76 years of age who experienced an array of health concerns including depression, anxiety, suicidality, and HIV. Men actively resist discrimination via three interrelated protective processes that dynamically influence the development of resilience over their life course: (a) building and sustaining networks, (b) addressing mental health, and (c) advocating for respectful care encounters. Initiatives to promote and protect the health of gay men must be rooted in the recognition of the systemic role of discrimination, while supporting men’s resilience in actively resisting discrimination.
Thrombocytopenia and bleeding in myelosuppressed transfusion-dependent patients: a simulation study exploring underlying mechanisms

Background Hematology–oncology patients often become severely thrombocytopenic and receive prophylactic platelet transfusions when their platelet count drops below 10×109 platelets/L. This so-called “platelet count trigger” of 10×109 platelets/L is recommended because currently available evidence suggests this is the critical concentration at which bleeding risk starts to increase. Yet, exposure time and lag time may have biased the results of studies on the association between platelet counts and bleeding risks. Methods We performed simulation studies to examine possible effects of exposure time and lag time on the findings of both randomized trials and observational data. Results Exposure time and lag time reduced or even reversed the association between the risk of clinically relevant bleeding and platelet counts. The frequency of platelet count measurements influenced the observed bleeding risk at a given platelet count trigger. A transfusion trigger of 10×109 platelets/L resulted in a severely distorted association, which closely resembled the association reported in the literature. At triggers of 0, 5, 10, and 20×109 platelets/L the observed percentages of patients experiencing bleeding were 18, 19, 19, and 18%. A trigger of 30×109 platelets/L showed an observed bleeding risk of 16% and triggers of 40 and 50×109 platelets/L both resulted in observed bleeding risks of 13%. Conclusion The results from our simulation study show how minimal exposure times and lag times may have influenced the results from previous studies on platelet counts, transfusion strategies, and bleeding risk and caution against the generally recommended universal trigger of 10×109 platelets/L.
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction

Objective: To automatically create large labeled training datasets and reduce the efforts of feature engineering for training accurate machine learning models for clinical information extraction. Materials and Methods: We propose a distant supervision paradigm empowered by deep representation for extracting information from clinical text. In this paradigm, the rule-based NLP algorithms are utilized to generate weak labels and create large training datasets automatically. Additionally, we use pre-trained word embeddings as deep representation to eliminate the need of task-specific feature engineering for machine learning. We evaluated the effectiveness of the proposed paradigm on two clinical information extraction tasks: smoking status extraction and proximal femur (hip) fracture extraction. We tested three prevalent machine learning models, namely, Convolutional Neural Networks (CNN), Support Vector Machine (SVM), and Random Forrest (RF). Results: The results indicate that CNN is the best fit to the proposed distant supervision paradigm. It outperforms the rule-based NLP algorithms given large datasets by capturing additional extraction patterns. We also verified the advantage of word embedding feature representation in the paradigm over term frequency-inverse document frequency (tf-idf) and topic modeling representations. Discussion: In the clinical domain, the limited amount of labeled data is always a bottleneck for applying machine learning. Additionally, the performance of machine learning approaches highly depends on task-specific feature engineering. The proposed paradigm could alleviate those problems by leveraging rule-based NLP algorithms to automatically assign weak labels and eliminating the need of task-specific feature engineering using word embedding feature representation.
Change Trends of Organ Weight Background Data in Sprague Dawley Rats at Different Ages

Organ weight is one of the most sensitive drug toxicity indicators, and its changes often precede morphological changes. So far, no background data about organ weight and its coefficient in SD rats at different weeks of age have been reported in China. The aim of this study was to summarize and analyze the change trends of organ weight and organ weight coefficients in SD rats at different weeks of age. The absolute of the weights of the brain, spleen, heart, lungs, liver, kidneys, adrenal glands and testes were increased in male SD rats from 13 to 78 weeks, and the weights of the brain, heart, lungs, liver, kidneys and especially the testes were decreased from 78 to 104 weeks. On the other hand, the absolute weight of the adrenal glands showed an increasing trend from 13 to 104 weeks. The absolute weight of the brain, spleen, heart, lungs, liver, kidneys, adrenal glands and ovaries showed an increasing trend from 13 to 104 weeks. A significant increase was observed in adrenal gland and ovary weights, whereas no obvious change trends were observed for the other organ weights mentioned above. It was surprising that the absolute of weight of the adrenal glands and organ-to-brain and organ-to-body weight ratios in female rats were significantly higher than those in males from 13 to 104 weeks. This study was the first to establish background data for organ weights in SD rats at different weeks of age and their reference ranges in line with the experimental animal status in China and to summarize their summarized their changes trend.
Expression of Cyclin-D1 in Astrocytes Varies During Aging

D-Cyclins control progression through the G1 phase and the G1/S transition of the cell cycle. In the adult brain, they regulate neurogenesis which is limited to the sub-granular zone of the dentate gyrus (DG) and to the sub-ventricular zone (SVZ) of the lateral ventricles. Yet, D-cyclins have also been detected in other parts of the adult brain in differentiated neurons that do not proliferate and rather die by apoptosis in response to cell cycle reactivation. Expression of D-cyclins in astrocytes has also been reported but published results, such as those concerning neurons, appear conflictual. We carried out this study in order to clarify the general pattern of D-cyclin expression in the mouse brain. By performing GFAP/cyclin-D1 double labeling experiments, we detected hypertrophic astrocytes expressing cyclin-D1 in their cytoplasmic processes. Their number increased with age in the hippocampus area but decreased with age in the SVZ. Clusters of astrocytes expressing cyclin-D1 were also detected in the cortical areas of old mice and around blood vessels of neurogenic areas. Other non-asteroidal small cells, probably stem cells, expressed both GFAP and nuclear cyclin-D1 in the neurogenic area of the DG and in the SVZ at a higher density in young mice than in old mice. Finally, cells expressing cyclin-D1 but not GFAP were also found scattered in the striatum and the CA1 region of the hippocampus, and at a high percentage in cortical layers of young and old mice. Our results suggest that astrocytes may control neuronal functions and proliferation by modulating, in normal or altered conditions such as aging or degenerative diseases, cyclin-D1 expression.
Erythroid Promoter Confines FGF2 Expression to the Marrow after Hematopoietic Stem Cell Gene Therapy and Leads to Enhanced Endosteal Bone Formation

Fibroblast growth factor-2 (FGF2) has been demonstrated to be a promising osteogenic factor for treating osteoporosis. Our earlier study shows that transplantation of mouse Sca-1+ hematopoietic stem/progenitor cells that are engineered to express a modified FGF2 leads to considerable endosteal/trabecular bone formation, but it also induces adverse effects like hypocalemia and osteomalacia. Here we report that the use of an erythroid specific promoter, β-globin, leads to a 5-fold decrease in the ratio of serum FGF2 to the FGF2 expression in the marrow cavity when compared to the use of a ubiquitous promoter spleen focus-forming virus (SFFV). The confined FGF2 expression promotes considerable trabeculae bone formation in endosteum and does not yield anemia and osteomalacia. The avoidance of anemia in the mice that received Sca1+ cells transduced with FGF2 driven by the β-globin promoter is likely due to attenuation of high-level serum FGF2-mediated stem cell mobilization observed in the SFFV-FGF2 animals. The prevention of osteomalacia is associated with substantially reduced serum Fgf23/hypophosphatemia, and less pronounced secondary hyperparathyroidism. Our improved stem cell gene therapy strategy represents one step closer to FGF2-based clinical therapy for systemic skeletal augmentation.
A tension-adhesion feedback loop in plant epidermis

Mechanical forces have emerged as coordinating signals for most cell functions. Yet, because forces are invisible, mapping tensile stress patterns in tissues remains a major challenge in all kingdoms. Here we take advantage of the adhesion defects in the Arabidopsis mutant quasimodo1 (qua1) to deduce stress patterns in tissues. By reducing the water potential and epidermal tension in planta, we rescued the adhesion defects in qua1, formally associating gaping and tensile stress patterns in the mutant. Using suboptimal water potential conditions, we revealed the relative contributions of shape- and growth-derived stress in prescribing maximal tension directions in aerial tissues. Consistently, the tension patterns deduced from the gaping patterns in qua1 matched the pattern of cortical microtubules, which are thought to align with maximal tension, in wild-type organs. Conversely, loss of epidermis continuity in the qua1 mutant hampered supracellular microtubule alignments, revealing that coordination through tensile stress requires cell-cell adhesion.
Working Memory Updating Training Improves Mathematics Performance in Middle School Students With Learning Difficulties

Working memory (WM) deficit is considered the key cause of learning difficulties (LDs). Studies have shown that WM is plastic and thus can be improved through training. This positive effect is transferable to fluid intelligence and academic performance. This study investigated whether WM updating ability and academic performance in children with LDs could be improved through WM updating training and explored the effects of this training on the children’s brain activity. We used a running memory task lasting approximately 40 min per day for 28 days to train a group of 23 children with LDs (TLDs group). We also selected two control groups of 22 children with LDs (CLDs group) and 20 children without LDs (normal control [NC] group). The behavioral results of a pretest indicated that WM updating ability and academic performance in the TLDs and CLDs groups were significantly lower than those in the NC group before training. Compared with the CLDs group, the TLDs group exhibited significant performance improvement in a 2-back WM task, as well as in mathematical ability. Event-related potentials (ERPs) results suggested that the amplitudes of N160 (representative of visual recognition) and P300 (representative of updating processing, which is a valid index for updating WM) in the TLDs and CLDs groups were markedly lower than those in the NC group before training. In the TLDs group, these two components increased considerably after training, approaching levels similar to those in the NC group. The results of this study suggest that WM updating training can improve WM updating ability in children with LDs and the training effect can transfer to mathematical performance in such children. Furthermore, the participants’ brain activity levels can exhibit positive changes. This article provides experimental evidence that WM updating training could mitigate the symptoms of LDs to a certain degree.
An Inquiry into Goal-Setting Practices with Physical Activity Trackers

Goal setting is a theoretically grounded, empirically supported, and one of the most popular behavior change strategies employed by activity trackers -- individuals set daily activity goals (e.g., 10000 steps) and continuous feedback on their performance is provided by the tracker. But while empirical studies are in abundance, we still have a liMassachusetts Institute of Technologyed understanding of users' real-life practices with goal setting, which may well vary from what is theoretically assumed, and can have detrimental effects on behavior change. We present an ongoing study, consisting of an online survey, seeking to inquire into what goals people set, how they engage with feedback and the impact this has on their physical activity.
DFPC: A dynamic frequent pattern compression scheme in NVM-based main memory

Non-volatile memory technologies (NVMs) are promising candidates as the next-generation main memory due to high scalability and low energy consumption. However, the performance bottlenecks, such as high write latency and low cell endurance, still exist in NVMs. To address these problems, frequent pattern compression schemes have been widely used, which however suffer from the lack of flexibility and adaptability. In order to overcome these shortcomings, we propose a well-adaptive NVM write scheme, called Dynamic Frequent Pattern Compression (DFPC), to significantly reduce the amount of write units and extend the lifetime. Instead of only using static frequent patterns in existing FPC schemes, which are pre-defined and not always efficient for all applications, the idea behind DFPC is to exploit the characteristics of data distribution in execution to obtain dynamic patterns, which often appear in the real-world applications. To further improve the compression ratio, we exploit the value locality in a cache line to extend the granularity of dynamic patterns. Hence DFPC can encode the contents of cache lines with more kinds of frequent data patterns. We implement DFPC in GEM5 with NVMain and execute 8 applications from SPEC CPU2006 to evaluate our scheme. Experimental results demonstrate the efficacy and efficiency of DFPC.
Group vs Individual: Impact of TOUCH and TILT Cross-Device Interactions on Mixed-Focus Collaboration

Cross-device environments (XDEs) have been developed to support a multitude of collaborative activities. Yet, little is known about how different cross-device interaction techniques impact group collaboration, including how their impact on independent and joint work that often occurs during group work. In this work, we explore the impact of two XDE data browsing techniques: TOUCH and TILT. Through a mixed-methods study of a collaborative sensemaking task, we show that TOUCH and TILT have distinct impacts on how groups accomplish, and shift between, independent and joint work. Finally, we reflect on these findings and how they can more generally inform the design of XDEs.
Evaluating CoBlox: A Comparative Study of Robotics Programming Environments for Adult Novices

A new wave of collaborative robots designed to work alongside humans is bringing the automation historically seen in large-scale industrial settings to new, diverse contexts. However, the ability to program these machines often requires years of training, making them inaccessible or impractical for many. This paper rethinks what robot programming interfaces could be in order to make them accessible and intuitive for adult novice programmers. We created a block-based interface for programming a one-armed industrial robot and conducted a study with 67 adult novices comparing it to two programming approaches in widespread use in industry. The results show participants using the block-based interface successfully implemented robot programs faster with no loss in accuracy while reporting higher scores for usability, learnability, and overall satisfaction. The contribution of this work is showing the potential for using block-based programming to make powerful technologies accessible to a wider audience.
Natural Antioxidants: Multiple Mechanisms to Protect Skin From Solar Radiation

Human skin exposed to solar ultraviolet radiation (UVR) results in a dramatic increase in the production of reactive oxygen species (ROS). The sudden increase in ROS shifts the natural balance toward a pro-oxidative state, resulting in oxidative stress. The detrimental effects of oxidative stress occur through multiple mechanisms that involve alterations to proteins and lipids, induction of inflammation, immunosuppression, DNA damage, and activation of signaling pathways that affect gene transcription, cell cycle, proliferation, and apoptosis. All of these alterations promote carcinogenesis and therefore, regulation of ROS levels is critical to the maintenance of normal skin homeostasis. Several botanical products have been found to exhibit potent antioxidant capacity and the ability to counteract UV-induced insults to the skin. These natural products exert their beneficial effects through multiple pathways, including some known to be negatively affected by solar UVR. Aging of the skin is also accelerated by UVR exposure, in particular UVA rays that penetrate deep into the epidermis and the dermis where it causes the degradation of collagen and elastin fibers via oxidative stress and activation of matrix metalloproteinases (MMPs). Because natural compounds are capable of attenuating some of the UV-induced aging effects in the skin, increased attention has been generated in the area of cosmetic sciences. The focus of this review is to cover the most prominent phytoproducts with potential to mitigate the deleterious effects of solar UVR and suitability for use in topical application.
Philosophers Living with the Tilting Bowl

This paper reports on a postphenomenological inquiry of six trained philosophers, who as study participants lived with and reflected on a research product we designed known as the Tilting Bowl: a ceramic bowl that unpredictably but gently tilts multiple times daily. The Tilting Bowl is a counterfactual artifact that is designed specifically for this study as part of a material speculation approach to design research. A postphenomenological inquiry looks to describe and analyze accounts of relationships between humans and technological artifacts, and how each mutually shapes the other through mediations that form the human subjectivity and objectivity of any given situation. This paper contributes an empirical account and analysis of the relations that emerged (background and alterity) and the relativistic views that co-constitute the philosophers, Tilting Bowl, and their specific worlds. The findings demonstrate the relevance of this philosophical framing to fundamentally and broadly understand how people engage digital artifacts.
HARK No More: On the Preregistration of CHI Experiments

Experimental preregistration is required for publication in many scientific disciplines and venues. When experimental intentions are preregistered, reviewers and readers can be confident that experimental evidence in support of reported hypotheses is not the result of HARKing, which stands for Hypothesising After the Results are Known. We review the motivation and outcomes of experimental preregistration across a variety of disciplines, as well as previous work commenting on the role of evaluation in HCI research. We then discuss how experimental preregistration could be adapted to the distinctive characteristics of Human-Computer Interaction empirical research, to the betterment of the discipline.
Design of recursive digital filters with variable characteristics

A new method for changing the cut-off frequency of infinite impulse response (IIR) digital filters with a single parameter is derived. the method is based on the use of the Taylor series expansion of the lowpass-to-lowpass frequency transformation. the filter structure is a parallel connection of real or complex allpass sections. the tuning range is several octaves for narrowband filters. By taking also the complementary output, a power-complementary filter pair with tunable crossover frequency is readily obtained. Tunable centre frequency and bandwidth are obtained by incorporating a special lowpass-to-bandpass transformation into the structure. Design examples and a description of a signal processor implementation are included.
Naive binning improves phylogenomic analyses

MOTIVATION Species tree estimation in the presence of incomplete lineage sorting (ILS) is a major challenge for phylogenomic analysis. Although many methods have been developed for this problem, little is understood about the relative performance of these methods when estimated gene trees are poorly estimated, owing to inadequate phylogenetic signal. RESULTS We explored the performance of some methods for estimating species trees from multiple markers on simulated datasets in which gene trees differed from the species tree owing to ILS. We included *BEAST, concatenated analysis and several 'summary methods': BUCKy, MP-EST, minimize deep coalescence, matrix representation with parsimony and the greedy consensus. We found that *BEAST and concatenation gave excellent results, often with substantially improved accuracy over the other methods. We observed that *BEAST's accuracy is largely due to its ability to co-estimate the gene trees and species tree. However, *BEAST is computationally intensive, making it challenging to run on datasets with 100 or more genes or with more than 20 taxa. We propose a new approach to species tree estimation in which the genes are partitioned into sets, and the species tree is estimated from the resultant 'supergenes'. We show that this technique improves the scalability of *BEAST without affecting its accuracy and improves the accuracy of the summary methods. Thus, naive binning can improve phylogenomic analysis in the presence of ILS. CONTACT tandy@cs.utexas. edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.