Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in Induced Medical and Procedural Abortion Rates in a Commercially Insured Population, 2018 to 2022

BACKGROUND During the COVID-19 pandemic, access to in-person care was limited, and regulations requiring in-person dispensing of mifepristone for medical abortions were relaxed. The effect of the pandemic and accompanying regulatory changes on abortion use is unknown. OBJECTIVE To estimate changes in the incidence rate of induced medical and procedural abortions. DESIGN Serial cross-sectional study with interrupted time-series analyses. SETTING Commercially insured persons in the United States. PARTICIPANTS Reproductive-aged women. INTERVENTION Onset of the COVID-19 pandemic in March 2020 and subsequent regulatory changes affecting the in-person dispensing requirement for mifepristone. MEASUREMENTS Monthly age-adjusted incidence rates of medical and procedural abortions were measured among women aged 15 to 44 years from January 2018 to June 2022. Medical abortions were classified as in-person or telehealth. Linear segmented time-series regression was used to calculate changes in abortion rates after March 2020. RESULTS In January 2018, the estimated age-adjusted monthly incidence rate of abortions was 151 per million women (95% CI, 142 to 161 per million women), with equal rates of medical and procedural abortions. After March 2020, there was an immediate 14% decrease in the monthly incidence rate of abortions (21 per million women [CI, 7 to 35 per million women]; P = 0.004), driven by a 31% decline in procedural abortions (22 per million women [CI, 16 to 28 per million women]; P < 0.001). Fewer than 4% of medical abortions each month were administered via telehealth. LIMITATION Only abortions reimbursed by commercial insurance were measured. CONCLUSION The incidence rate of procedural abortions declined during the COVID-19 pandemic, and this lower rate persisted after other elective procedures rebounded to prepandemic rates. Despite removal of the in-person dispensing requirement for mifepristone, the use of telehealth for insurance-covered medical abortions remained rare. Amid increasing state restrictions, commercial insurers have the opportunity to increase access to abortion care, particularly via telehealth. PRIMARY FUNDING SOURCE Health Resources and Services Administration.
Musculoskeletal Injuries in Table Tennis during Competition: A Systematic Review

Abstract The study aimed to investigate the incidence of musculoskeletal injuries among table tennis players and identify their associated risk factors. We conducted a literature search in online databases using relevant search terms related to “table tennis” and “injury”. To compare the rate of injuries according to player-related variables, we extracted information on sex, level of games, circumstances of injury, and duration of sport absence after injury. Furthermore, we calculated the odds ratios based on the number of injuries according to variables. Eight articles included 873 professional table tennis players, revealing an overall musculoskeletal injury rate of 3.6% (31 musculoskeletal injuries). The incidence was 10.0 injuries per 1,000 playing hours (range, 0–27.0). The rate of musculoskeletal injuries for female and male players were 3.2% and 3.8%, respectively, and those for Summer Olympic Games, Asian Games, and domestic national games was 4.8%, 15.4%, and 0%, respectively. More than half (52%) of injuries occurred during training, and most injuries (64%) were of a nature that did not cause time loss. This review provides valuable information about the incidence of musculoskeletal injuries in table tennis competitions. However, owing to the limitations of this study in identifying injury-related risk factors, future studies analyzing comprehensive variables are required.
Cross-Country Variation in (Binary) Gender Differences in Secondary School Students’ CS Attitudes: Re-Validating and Generalizing a CS Attitudes Scale

The current study compared American, Korean, and Indonesian middle and high school students’ CS attitudes. Concurrently, this study also examined whether the items in the CS attitudes scale exhibit country and gender measurement biases. We gathered data on CS attitudes from middle and high school students in the US, Korea, and Indonesia. The participating students took the same (translated) previously validated CS attitudes scale. We ran a unidimensional IRT, differential item functioning (DIF), a two-way ANOVA, and the Kruskal-Wallis H test. Despite the valid instrument, we found it inappropriate as is for international comparison studies because students from different countries interpreted some items differently. We then compared gender-based differences in CS attitudes across countries. The results revealed no significant differences between males and females in the Indonesian middle school data, whereas male students had significantly higher CS attitudes than female students in both American and Korean student data. Furthermore, we found the same pattern in gender differences in Korean and Indonesian high school students’ CS attitudes scores as in the middle school study. These findings underscore the importance of a country’s sociocultural context in influencing gap and diversity in secondary school students’ CS attitudes.
Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots

Motion planning is a computationally intensive and well-studied problem in autonomous robots. However, motion planning hardware accelerators (MPA) must be soft-error resilient for deployment in safety-critical applications, and blanket application of traditional mitigation techniques is ill-suited due to cost, power, and performance overheads. We propose Collision Exposure Factor (CEF), a novel metric to assess the failure vulnerability of circuits processing spatial relationships, including motion planning. CEF is based on the insight that the safety violation probability increases with the surface area of the physical space exposed by a bit-flip. We evaluate CEF on four MPAs. We demonstrate empirically that CEF is correlated with safety violation probability, and that CEF-aware selective error mitigation provides 12.3 ×, 9.6 ×, and 4.2 × lower dangerous Failures-In-Time rate on average for the same amount of protected memory compared to uniform, bit-position, and access-frequency-aware selection of critical data. Furthermore, we show how to employ CEF to enable fault characterization using 23, 000 × fewer fault injection (FI) experiments than exhaustive FI, and evaluate our FI approach on different robots and MPAs. We demonstrate that CEF-aware FI can provide insights on vulnerable bits in an MPA while taking the same amount of time as uniform statistical FI. Finally, we use the CEF to formulate guidelines for designing soft-error resilient MPAs.
A Post-Training Framework for Improving the Performance of Deep Learning Models via Model Transformation

Deep learning (DL) techniques have attracted much attention in recent years and have been applied to many application scenarios. To improve the performance of DL models regarding different properties, many approaches have been proposed in the last decades, such as improving the robustness and fairness of DL models to meet the requirements for practical use. Among existing approaches, post-training is an effective method that has been widely adopted in practice due to its high efficiency and good performance. Nevertheless, its performance is still limited due to the incompleteness of training data. Additionally, existing approaches are always specifically designed for certain tasks, such as improving model robustness, which cannot be used for other purposes. In this paper, we aim to fill this gap and propose an effective and general post-training framework, which can be adapted to improve the model performance from different aspects. Specifically, it incorporates a novel model transformation technique that transforms a classification model into an isomorphic regression model for fine-tuning, which can effectively overcome the problem of incomplete training data by forcing the model to strengthen the memory of crucial input features and thus improve the model performance eventually. To evaluate the performance of our framework, we have adapted it to two emerging tasks for improving DL models, i.e., robustness and fairness improvement, and conducted extensive studies by comparing it with state-of-the-art approaches. The experimental results demonstrate that our framework is indeed general as it is effective in both tasks. Specifically, in the task of robustness improvement, our approach Dare has achieved the best results on 61.1% cases (vs. 11.1% cases achieved by baselines). In the task of fairness improvement, our approach FMT can effectively improve the fairness without sacrificing the accuracy of the models.
Explore Testing Performance and Learning Behaviors

ABSTRACT This study explores various approaches to investigate participants’ testing performance and learning behaviors in a computer-based spatial rotation learning program. Using multivariate learning and assessment data, including responses, response times, learning times and selected covariates, a comprehensive data analytic framework is developed that not only utilizes the test level information but also the item level information. This top-down and multivariate data analytic framework can shed light on conducting exploratory analysis with high-dimensional and mixed-type multivariate data, especially on how to aggregate information from the test-level and item-level. The findings about participants’ testing performance and learning behaviors are valuable in guiding the design of an adaptive learning platform in the future and can also provide some support in developing confirmatory statistical methods to model testing and learning behaviors.
Reversible inhibition of GluN2B-containing NMDA receptors with an in situ red-shifted, photoswitchable antagonist

NMDA receptors (NMDARs) are glutamate-gated ion channels playing a central role in synaptic transmission and plasticity. Dysregulation of NMDARs is linked to various neuropsychiatric disorders, emphasizing the need to understand the functional roles of individual NMDAR subtypes in the brain. GluN2B-containing NMDARs (GluN2B-NMDARs) are particularly important due to both pro-cognitive and pro-excitotoxic roles, although these functions remain under debate. Traditional pharmacological and genetic approaches have important shortcomings in terms of specificity and spatio-temporal resolution, limiting their use in native tissues. We therefore turned to optopharmacology, a technique based on the use of photosensitive ligands, whose activity can be reversibly tuned via illumination with different wavelengths. We developed OptoNAM-3, an azobenzene-based, photoswitchable negative allosteric modulator selective for GluN2B-NMDARs. OptoNAM-3 is a potent inhibitor of GluN2B-NMDARs in its trans configuration and inactive in its cis configuration. When bound to GluN2B-NMDARs, OptoNAM-3 displays remarkable red-shifting of its photoswitching properties that we attributed to geometric constraints imposed by the binding site onto the ligand azobenzene moiety. OptoNAM-3 allowed fast and reversible photomodulation of GluN2B-NMDAR activity in vitro using either UV/green or blue/green light illumination cycles. OptoNAM-3 furthermore acted as a reversible, red-shifted in vivo photomodulator of Xenopus tadpole locomotion. By enabling fast and reversible photocontrol of endogenous GluN2B-NMDARs with in vivo compatible photochemical properties, OptoNAM-3 should advance our understanding of the role of this class of NMDARs in brain function and dysfunction. Significance statement This article presents the development and characterization of a photoswitchable negative allosteric modulator (NAM) targeting GluN2B-containing NMDA receptors (GluN2B-NMDARs). Traditional GluN2B-selective NAMs suffer from slow kinetics and irreversible effects, limiting their use in native tissues. OptoNAM-3 emerged as a potent and selective inhibitor of GluN2B-NMDARs, exhibiting fast temporal resolution of action and reversibility both in vitro and in vivo. OptoNAM-3 furthermore exhibited different spectral properties when in solution or bound to its target, thus behaving as an in situ “red-shifted” photodependent antagonist with improved in vivo compatibility. This study therefore provides a valuable photoswitchable tool for precise control of NMDAR activity in native tissues. It furthermore reveals the importance of the protein environment on the spectral properties of photosensitive molecules.
Scene-selective regions encode the vertical position of navigationally relevant information in young and older adulthood

Position within the environment influences the navigational relevance of objects. However, the possibility that vertical position represents a central object property has yet to be explored. Considering that the upper and lower visual fields afford distinct types of visual cues and that scene-selective regions exhibit retinotopic biases, it is of interest to elucidate whether the vertical location of visual information modulates neural activity in these high-level visual areas. The occipital place area (OPA), parahippocampal place area (PPA) and medial place area (MPA) demonstrate biases for the contralateral lower visual field, contralateral upper visual field, and contralateral hemifield, respectively. Interesting insights could also be gained from studying older adulthood as recent work points towards an age-related preference for the lower visual field. In the present study, young and older participants learned the position of a goal in a virtual environment that manipulated two variables: the vertical position of navigationally-relevant objects and the presence of non-relevant objects. Results revealed that all three scene-selective regions parsed the vertical position of useful objects independently of their subtending retinotopic biases. It therefore appears that representations in the higher-level visual system combined information about vertical position and navigational value for wayfinding purposes. This property was maintained in healthy aging emphasizing the enduring significance of visual processing along the vertical dimension for spatial navigation abilities across the lifespan.
Water quality trend at the upper part of johor river in relation to rainfall and runoff pattern

Due to the fact that rainfall and runoff have a vital relationship to water quality, these hydrological variables are among the most dominants controlling factor on the variation of water quality. Trend analysis on time series data has proved to be a useful tool for effective water resources planning, design, and management since trend detection of hydrological variables such as streamflow and precipitation provides useful information on the possibility of change tendency of the variables in the future. Both ARIMA modelling approach (parametric method) and Mann-Kendall test (non-parametric method) were applied to analyses the water quality and rainfall-runoff data for Johor River recorded for a long period (2004 to 2007). SPSS Statistical Packages Software was used in performing ARIMA time series modelling and Microsoft Excel function was used for Mann-Kendall (MK) test. This study aims to investigate the water quality trend over a long period particularly at the upper part of the Johor River in relation to rainfall and runoff pattern using both parametric and non-parametric method. This study focusing on four parameters of nutrient types of pollutant (NH4, turbidity, colour and SS) and four parameters of chemical types of pollutant (PH, Al, Mn, Fe). Nutrient and chemical types of pollutant is more significant as major land use surrounding Johor River is agricultural activities and eroded river corridor problem was observed. MK test shows that all of the parameters investigated are significant at 95% confidence limit. Increasing trend was observed for turbidity, colour and SS while decreasing trend in PH, Al, Mn and Fe. Probability (P) value obtained is zero and others gave value near to zero shows that all of the water quality parameters have quiet similar trend with rainfall and flow. The results from the fitted ARIMA models indicate that all of the water quality parameter investigated was generated by AutoRegressive Integrated Moving Average (ARIMA) processes ranges from ARIMA (1,1,1) to (2,1,2). Colour, Turbidity, SS, NH4 and Mn follow a similar trend with rainfall-runoff pattern while PH, Al and Fe have the opposite trend compare to rainfall-runoff pattern.
Glucocorticoid intermittence coordinates rescue of energy and mass in aging-related sarcopenia through the myocyte-autonomous PGC1alpha-Lipin1 transactivation

Sarcopenia burdens the elderly population through loss of muscle energy and mass, yet treatments to functionally rescue both parameters are missing. The glucocorticoid prednisone remodels muscle metabolism based on frequency of intake, but its mechanisms in sarcopenia are unknown. We found that once-weekly intermittent prednisone rescued muscle quality in aged 24-month-old mice to levels comparable to young 4-month-old mice. We discovered an age- and sex-independent glucocorticoid receptor transactivation program in muscle encompassing PGC1alpha and its co-factor Lipin1. Treatment coordinately improved mitochondrial abundance through isoform 1 and muscle mass through isoform 4 of the myocyte-specific PGC1alpha, which was required for the treatment-driven increase in carbon shuttling from glucose oxidation to amino acid biogenesis. We also probed the myocyte-specific Lipin1 as non-redundant factor coaxing PGC1alpha upregulation to the stimulation of both oxidative and anabolic capacities. Our study unveils an aging-resistant druggable program in myocytes to coordinately rescue energy and mass in sarcopenia.
The Dilute domain of Canoe is not essential for Canoe’s role in linking adherens junctions to the cytoskeleton but contributes to robustness of morphogenesis

Robust linkage between cell-cell adherens junctions and the actomyosin cytoskeleton allows cells to change shape and move during morphogenesis without tearing tissues apart. The multidomain protein Drosophila Canoe and its mammalian homolog Afadin are critical for this linkage, and in their absence many events of morphogenesis fail. To define underlying mechanisms, we are taking Canoe apart, using Drosophila as our model. Canoe and Afadin share five folded protein domains, followed by a large intrinsically disordered region. The largest of these folded domains is the Dilute domain, which is found in Canoe/Afadin, their paralogs, and members of the MyosinV family. To define the roles of Canoe’s Dilute domain we have combined biochemical, genetic and cell biological assays. Use of the AlphaFold tools revealed the predicted structure of the Canoe/Afadin Dilute domain, providing similarities and contrasts with that of MyosinV. Our biochemical data suggest one potential shared function: the ability to dimerize. We next generated Drosophila mutants with the Dilute domain cleanly deleted. Surprisingly, these mutants are viable and fertile, and CanoeΔDIL protein localizes to adherens junctions and is enriched at junctions under tension. However, when we reduce the dose of CanoeΔDIL protein in a sensitized assay, it becomes clear it does not provide full wildtype function. Further, canoeΔDIL mutants have defects in pupal eye development, another process that requires orchestrated cell rearrangements. Together, these data reveal the robustness in AJ-cytoskeletal connections during multiple embryonic and postembryonic events, and the power of natural selection to maintain protein structure even in robust systems.
Tumor-infiltrating nerves functionally alter brain circuits and modulate behavior in a male mouse model of head-and-neck cancer

Cancer patients often experience changes in mental health, prompting an exploration into whether nerves infiltrating tumors contribute to these alterations by impacting brain functions. Using a male mouse model for head and neck cancer, we utilized neuronal tracing techniques and show that tumor-infiltrating nerves indeed connect to distinct brain areas via the ipsilateral trigeminal ganglion. The activation of this neuronal circuitry led to behavioral alterations represented by decreased nest-building, increased latency to eat a cookie, and reduced wheel running. Tumor-infiltrating nociceptor neurons exhibited heightened activity, as indicated by increased calcium mobilization. Correspondingly, the specific brain regions receiving these neural projections showed elevated cFos and delta FosB expression in tumor-bearing mice, alongside markedly intensified calcium responses compared to non-tumor-bearing counterparts. The genetic elimination of nociceptor neurons in tumor-bearing mice led to decreased brain Fos expression and mitigated the behavioral alterations induced by the presence of the tumor. While antalgic treatment successfully restored behaviors involving oral movements to normalcy in tumor-bearing mice, it did not have a similar therapeutic effect on voluntary wheel running. This discrepancy points towards an intricate relationship, where pain is not the exclusive driver of such behavioral shifts. Unraveling the interaction between the tumor, infiltrating nerves, and the brain is pivotal to developing targeted interventions to alleviate the mental health burdens associated with cancer.
Microtubule reorganization during mitotic cell division in the dinoflagellate Ostreospis cf. ovata

Dinoflagellates are marine organisms that undergo seasonal explosive proliferation events known as algal blooms. Vegetative cell proliferation is a main contributing factor in these events. However, mechanistical understanding of mitosis and cytokinesis in dinoflagellate remains rudimentary. Using an optimized immunofluorescence protocol, we analysed changes in microtubule organization occurring during the mitotic cycle of the toxic dinoflagellate Ostreopsis cf. ovata. This study revealed important features of dinoflagellate cell division. We find that the two flagella and the cortical microtubule array persist throughout the mitotic cycle. Two microtubule bundles are present in the cytoplasm originating from the ventral area, where the basal bodies are located: a cortical bundle and a cytoplasmic ventral bundle. The latter associates with the nucleus in the cell centre in preparation for mitosis and with the acentrosomal extranuclear spindle during mitosis. Analysis of tubulin post-translational modifications identifies two populations of spindle microtubules: polar acetylated microtubules whose length is stable throughout mitosis and central tyrosinated microtubules which elongate during chromosome segregation. During cell division a microtubule rich structure forms along the dorsal-ventral axis, associated with the site of cytokinesis, consistent with a cytokinetic mechanism independent of the actomyosin ring typical of animal and yeast cells. Summary statement Our study describes special features of mitosis and cytokinesis in dinoflagellates and uncovers a new alternative mechanism for cell division, highlighting the plasticity of cell biological process in eukaryotic cells.