Miracle-dz/UniFAR-FTUs huggingface dataset:
Music reading expertise affects visual change detection: Evidence from a music-related flicker paradigm

To study the mechanisms and boundary conditions of expertise effects on change detection, we introduced a novel music-related variant of the flicker paradigm. Specifically, we monitored the eye movements of expert musicians (with 10 years of music experience) and non-musicians (who could not read music) while they located changes across two rapidly alternating versions of a music score, with a blank screen presented between each screen change. Relative to the non-musicians, experts were faster at change detection, with shorter fixations and larger saccade amplitudes. Expertise effects on accuracy and saccade amplitude were magnified for visually complex relative to simple music scores. Consistent with the assumptions of chunking and template theories of expertise, our results suggest that expert musicians can use chunking (i.e., perceptual grouping) mechanisms to facilitate perceptual encoding during change detection.
Fracture Risk Following an Atypical Femoral Fracture

Atypical femoral fractures (AFFs) occurring during the course of osteoporosis treatment usually lead to discontinuation of anti‐resorptive (AR) drugs. However, the risk of fracture after an AFF is unknown. We conducted a follow‐up study of patients with AFF matched 1:3 for age and gender with patients with a peripheral major osteoporotic fracture (pMOF), in the setting of a fracture liaison service, to investigate the incidence of subsequent low‐trauma fractures. Fifty‐five patients with AFF (95% women, age [mean ± standard deviation] 75 ± 10 years, 89% exposed to AR drugs), followed for 6.2 ± 3.7 years, were compared to 165 matched controls with a pMOF (hip 85%) followed for 4.3 ± 2.6 years. During the follow‐up, 38% of patients in the AFF group and 16% in the pMOF group received AR therapies. Continuation of AR drugs after an AFF was associated with contralateral AFF in 27% of subjects. The risks of new low‐trauma, major osteoporotic and imminent (within 2 years) fractures, were similar between the two groups: incidence rate ratio (95% confidence interval [CI]) of subsequent fracture following AFF relative to pMOF, 1.30 (95% CI, 0.82–2.04), 1.28 (95% CI, 0.74–2.15), and 1.11 (95% CI, 0.54–2.15), respectively. Moreover, the risk of sustaining multiple fractures per participant was significantly increased among patients with AFF compared to pMOF (hazard ratio 1.48 [95% CI, 1.00–2.19]; p = 0.049). When taking mortality into account, the risk of subsequent fractures tended to be higher in the AFF group (sub‐hazard ratio 1.42 [95% CI, 0.95–2.12]). In conclusion, patients who sustained an AFF are at high risk of subsequent fragility fractures, at least equal or even greater to the risk observed after a pMOF. However, continuation of AR drugs increases the risk of contralateral AFF. Therefore, optimal modalities for secondary fracture prevention after AFF require further evaluation. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
Marine and freshwater regime changes impact a community of migratory Pacific salmonids in decline

Marine and freshwater ecosystems are increasingly at risk of large and cascading changes from multiple human activities (termed “regime shifts”), which can impact population productivity, resilience, and ecosystem structure. Pacific salmon exhibit persistent and large fluctuations in their population dynamics driven by combinations of intrinsic (e.g., density dependence) and extrinsic factors (e.g., ecosystem changes, species interactions). In recent years, many Pacific salmon have declined due to regime shifts but clear understanding of the processes driving these changes remains elusive. Here, we unpacked the role of density dependence, ecosystem trends, and stochasticity on productivity regimes for a community of five anadromous Pacific salmonids (Steelhead, Coho Salmon, Pink Salmon, Dolly Varden, and Coastal Cutthroat Trout) across a rich 40‐year time‐series. We used a Bayesian multivariate state‐space model to examine whether productivity shifts had similarly occurred across the community and explored marine or freshwater changes associated with those shifts. Overall, we identified three productivity regimes: an early regime (1976–1990), a compensatory regime (1991–2009), and a declining regime (since 2010) where large declines were observed for Steelhead, Dolly Varden, and Cutthroat Trout, intermediate declines in Coho and no change in Pink Salmon. These regime changes were associated with multiple cumulative effects across the salmon life cycle. For example, increased seal densities and ocean competition were associated with lower adult marine survival in Steelhead. Watershed logging also intensified over the past 40 years and was associated with (all else equal) ≥97% declines in freshwater productivity for Steelhead, Cutthroat, and Coho. For Steelhead, marine and freshwater dynamics played approximately equal roles in explaining trends in total productivity. Collectively, these changing environments limited juvenile production and lowered future adult returns. These results reveal how changes in freshwater and marine environments can jointly shape population dynamics among ecological communities, like Pacific salmon, with cascading consequences to their resilience.
Physician Perspectives on the Effect of Topical Steroid Costs on Patients and Proposed Solutions.

Importance Rising costs of topical steroids have increased overall health care and patient out-of-pocket costs while increasing administrative burden on dermatologists and office staff. Objective To explore factors affecting the decision-making process for dermatologists around topical steroid prescriptions, determine the association of insurance coverage and cost, and assess willingness to implement solutions to decrease out-of-pocket topical steroid costs for patients. Design, Setting, and Participants This qualitative study was conducted from June to November 2020 and used semistructured interviews of 16 dermatologists who reflected a mix of physicians in academic, nonacademic, and private practice until thematic saturation was reached. Each interview was independently coded by 2 researchers. Code frequency and interrater reliability were determined using NVIVO software. Data analysis was conducted from November 2020 to March 2021. Main Outcomes and Measures Factors influencing dermatologist decision-making around topical steroid selection, outcomes of unaffordable medications on patients, solution recommendations, and perspectives on a system to automatically substitute topical steroid for cheaper alternatives of the same class and vehicle. Results Of the 16 dermatologists, 8 (50.0%) were women, 8 (50.0%) were men, 1 (6.3%) was Asian, 2 (12.5%) were Latinx, and 12 (75.0%) were White. The interrater reliability ranged from κ = 0.86 to κ = 0.98, indicating excellent agreement. Most physicians (13 [81%]) thought about costs regularly when making choices about topical steroids. All physicians identified a scenario in which patients could not obtain medication based on cost. In these cases, 15 (94%) reported that they try to find an alternative medication by calling the pharmacist or insurance company. Despite a desire to consider cost at the time of prescribing, physicians reported not knowing medication costs before prescribing because of the variability of insurance coverage (15 [94%]), lack of transparency (12 [75%]), and fluctuating drug prices (12 [75%]). In addition to affecting patients, 14 physicians (88%) reported that a patient's inability to afford medications increases administrative burden. Physicians suggested that they were open to solutions that focused on increased cost transparency (10 [63%]) and improved electronic health record technologies. Furthermore, 14 (88%) were willing to use a system to allow the substitution of one topical steroid for another of the same class and vehicle. Conclusions and Relevance The results of this qualitative study suggest that opacity around drug costs reduces access for patients and is followed by administrative stress for physicians and staff. Dermatologists are receptive to systems that provide greater transparency for drug costs or automate substitution of equivalent cheaper drugs for patients.
Merits of intergenerational interviews in attracting psychology students for aging-related work: a qualitative study

ABSTRACT The lack of adequate numbers of people working with older adults in an aging society implies the potential of attracting students from other disciplines to the field. This qualitative study explored the experiences of 52 Chinese psychology students who took a gerontological psychology course designed to prepare them for aging-related careers. As younger students having conversations with older people benefits their learning of gerontology, to accomplish the course tasks, each student had to interview an older person, analyze the data, and write a report with reflectivity. Thematic analysis of the students’ written reports indicated that intergenerational interviewing is rewarding in preparing them for aging-related work in that the students gained both concrete knowledge about aging and experiences of doing gerontological qualitative research, realized that intergenerational interviewing benefits both themselves and their interviewees, and went through a process of personal development that is necessary for a gerontological career. Implications for future research and practice in cultivating psychology students’ interest in aging-related work were discussed.
A Densimetric Analysis of Flotation Concentrate from Kupferschiefer-type Copper Ore

ABSTRACT The high mineralogical and lithological variability of polymetallic ores mined from copper and silver sedimentary deposits (SW Poland) has a strong influence on the upgrading processes and properties of the copper concentrates. This article’s subject is the analysis of the properties of industrial polymetallic flotation concentrate from copper ore showing difficult flotation upgradeability. One of the main causes of these difficulties is the transfer of organic carbon into the concentrate, which is tried to be explained in this work. A sample of industrial copper concentrate was subjected to densimetric analysis in a heavy liquid in search of the reasons for the mentioned difficulty. The separation products were balanced in terms of the content of copper, lead, silver and organic carbon as well as the mineral composition and liberation. A mineralogical analyzes of the separation products showed virtually uniform transfer of all sulfide minerals of copper, lead, iron and zinc to heavy fractions with 95–98% recovery. In the lightest fraction below 1700 g/dm3, with TOC content of 53%, approximately 0.4% of the dispersed copper carriers remained (as recovery) permanently bound mainly with organic-clay matter, which in terms of copper content was 2.6%. It was found that it is possible to separate a carbon middling from the concentrate, with a low copper content in relation to the content in the initial concentrate. Further research should be focused on finding methods to remove carbonate minerals and clay minerals from the concentrate during flotation with as the lowest losses of valuable metals as possible.
A review on carbon pools and sequestration as influenced by long-term management practices in a rice–wheat cropping system

ABSTRACT The drastic increase of atmospheric CO2 concentrations and depletion of soil organic carbon (SOC) have prompted interest in exploiting the sink potential of soil to sequester carbon. The role of soils to mitigate climate change by the “4 per 1000” concept to increase global SOC stocks by 0.4% has been acknowledged. However, the potential of soils to sequester C depends on the cropping system, the magnitude of antecedent C depleted from soil, properties of the soil profile, climate and agricultural management practices. To formulate long-term agricultural management practices that lead to C sequestration, it is important to study their effect on SOC pools. Certain labile pools of C are considered sensitive indicators that show quick change after a modification in management practice. In contrast, changes in total SOC are relatively less detectable over the short to medium term. Most SOC pools are interrelated and vary in proportion. Rice–wheat, an intensive and dominant cropping system occupying 24 million hectares of cultivated land globally, significantly contributes to the global warming potential. Therefore, this review aims to identify the best management practices in the rice–wheat system that lead to C sequestration by improving SOC. These include the use of manure, compost, crop residues, balanced fertilization used conjointly with farmyard manure (FYM), mulch farming, conservation tillage, and inclusion of cover crops. The paper provides a comprehensive review of C pools and sequestration as influenced by long-term management practices under a rice–wheat cropping system.
The interpretation of disjunction in VP ellipsis: The case of Mandarin Chinese

It has long been noted that verb phrase (VP) ellipsis cancels the polarity sensitivity of the English Positive Polarity Items (PPIs). In recent work, it has been proposed that words for disjunction are governed by a parameter. On one value of the parameter, disjunction is a PPI for adult speakers of many languages including Mandarin Chinese. On the other value, disjunction is interpreted in situ. It has also been proposed that child language learners, across languages, initially interpret disjunction in situ, not as a PPI. Taken together, these proposals predict that child and adult speakers of Mandarin will assign the same interpretation to disjunction in sentences with VP ellipsis, but will assign a different interpretation in sentences without VP ellipsis. This study assessed these predictions. In sentences with a full VP, the adult participants analyzed disjunction as a PPI, but they interpreted disjunction in situ in sentences with VP ellipsis. The child participants interpreted disjunction in situ in sentences of both kinds. Together, the findings support the recent proposal that disjunction is governed by a lexical parameter, with a default setting.
Stress, Dyadic Coping, and Relationship Instability During the COVID-19 Pandemic

How romantic partners respond to stress has important implications for the well-being of their relationship. In this study, we examined the effects of three types of stress on relationship instability and evaluated individuals’ perceptions of their partner’s dyadic coping as a mediator in a sample of 117 different-gender couples (N = 234) across 6 months of the COVID-19 pandemic. We found that perceived stress, but not economic pressure or pandemic concerns, was associated with increases in relationship instability for both men and women. For women but not men, perceived stress was negatively associated with dyadic coping, and dyadic coping was related to lower relationship instability. Although direct effects were present for most of the variables of interest, dyadic coping did not mediate the associations between stress and relationship instability for either partner. These findings underscore the direct paths between stress, adaptive responses, and relationship instability, building upon past theorizing and research on stress and dyadic coping.
Closing the “Quantum Supremacy” Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer

We develop a high-performance tensor-based simulator for random quantum circuits(RQCs) on the new Sunway supercomputer. Our major innovations include: (1) a near-optimal slicing scheme, and a path-optimization strategy that considers both complexity and compute density; (2) a three-level parallelization scheme that scales to about 42 million cores; (3) a fused permutation and multiplication design that improves the compute efficiency for a wide range of tensor contraction scenarios; and (4) a mixed-precision scheme to further improve the performance. Our simulator effectively expands the scope of simulatable RQCs to include the 10×10(qubits)X(1 + 40 + l)(depth) circuit, with a sustained performance of 1.2 Eflops (single-precision), or 4.4 Eflops (mixed-precision)as a new milestone for classical simulation of quantum circuits; and reduces the simulation sampling time of Google Sycamore to 304 seconds, from the previously claimed 10,000 years.
E.T.: Re-Thinking Self-Attention for Transformer Models on GPUs

Transformer-based deep learning models have become a ubiquitous vehicle to drive a variety of Natural Language Processing (NLP) related tasks beyond their accuracy ceiling. However, these models also suffer from two pronounced challenges, that is, gigantic model size and prolonged turnaround time. To this end, we introduce E.T. that rE-thinks self-attention computation for Transformer models on GPUs with the following contributions: First, we introduce a novel self-attention architecture, which encompasses two tailored self-attention operators with corresponding sequence length-aware optimizations, and operation reordering optimizations. Second, we present an attention-aware pruning design which judiciously uses various pruning algorithms to reduce more computations hence achieves significantly shorter turnaround time. For the pruning algorithms, we not only revamp the existing pruning algorithms, but also tailor new ones for transformer models. Taken together, we evaluate E.T. across a variety of benchmarks for Transformer, BERTBASE and DistilBERT, where E.T. presents superior performance over the mainstream projects, including the popular Nvidia Enterprise solutions, i.e., TensorRT and FasterTransformer.
SV-Sim: Scalable PGAS-Based State Vector Simulation of Quantum Circuits

High-performance quantum circuit simulation in a classic HPC is still imperative in the NISQ era. Observing that the major obstacle of scalable state-vector quantum simulation arises from the massively fine-grained irregular data-exchange with remote nodes, in this paper we present SV-Sim to apply the PGAS-based communication models (i.e., direct peer access for intra-node CPUs/GPUs and SHMEM for inter-node CPU/GPU clusters) for efficient general-purpose quantum circuit simulation. Through an orchestrated design based on device functional pointer, SV-Sim is able to abstract various quantum gates across multiple heterogeneous backends, including IBM/Intel/AMD CPUs, NVIDIA/AMD GPUs, and Intel Xeon Phi, in a unified framework, but still asserting outstanding performance and tractable interface to higher-level quantum programming environments, such as IBM Qiskit, Microsoft Q# and Google Cirq. Circumventing the obstacle from the lack of polymorphism in GPUs and leveraging the device-initiated one-sided communication, SV-Sim can process circuit that are dynamically generated in Python using a single GPU/CPU kernel without the need of expensive JIT or runtime parsing, significantly simplifying the programming complexity and improving performance for QC simulation. This is especially appealing for the variational quantum algorithms given the circuits are synthesized online per iteration. Evaluations on the latest NVIDIA DGX-A100, V100-DGX-2, ALCF Theta, OLCF Spock, and OLCF Summit HPCs show that SV-Sim can deliver scalable performance on various state-of-the-art HPC platforms, offering a useful tool for quantum algorithm validation and verification. SV-Sim has been released at http://github.com/pnnl/sv-sim. A version specially tweaked for Q#/QDK is also provided.
β-Cell function is associated with osteosarcopenia in middle-aged and older nonobese patients with type 2 diabetes: A cross-sectional study

Abstract Type 2 diabetes mellitus (T2DM) is a strong risk tfactor for osteosarcopenia. The relationship between musculoskeletal index and β-cell function remains controversial. We aimed to describe the clinical characteristics of osteosarcopenia and to explore the association between osteosarcopenia and β-cell function, as well as insulin resistance in patients with T2DM. A total of 150 middle-aged and older nonobese patients with T2DM were recruited. Bone mineral density (BMD) and body composition were measured by the dual-energy X-ray absorptiometry scanner. The homeostasis model assessment of insulin resistance and Matsuda index were used to evaluate insulin resistance status. β-Cell function was estimated by the area under the curve insulin/glucose (AUC-Ins/Glu) and the area under the curve C-peptide/glucose (AUC-CP/Glu). T2DM patients with osteosarcopenia had lower body mass index, waist circumference, body fat percentage, AUC-Ins/Glu, and AUC-CP/Glu. Both AUC-Ins/Glu (OR = 0.634, P = 0.008) and AUC-CP/Glu (OR = 0.491, P = 0.009) were negatively associated with the presence of osteosarcopenia. Multivariate linear regression analysis showed that β-cell function was positively associated with the skeletal muscle mass index, whereas it showed no correlation with lumbar or hip BMD. β-Cell function is associated with osteosarcopenia in middle-aged and older nonobese patients with T2DM. These findings suggest that β-cell function might be a protective factor against osteosarcopenia.
Bipolar behavior of submodular, law-invariant capacities

Abstract In the case of a submodular, law-invariant capacity, we provide an entirely elementary proof of a result of Marinacci [M. Marinacci, Upper probabilities and additivity, Sankhyā Ser. A 61 1999, no. 3, 358–361]. As a corollary, we also show that the anticore of a continuous submodular, law-invariant nonatomic capacity has a dichotomous nature: either it is one-dimensional or it is infinite-dimensional. The results have implications for the use of such capacities in financial and economic applications.
Single Photon Emission Computed Tomography/Positron Emission Tomography Molecular Imaging for Parkinsonism: A Fast‐Developing Field

The early differential diagnosis of Parkinson disease and atypical parkinsonism is a major challenge. The use of single photon emission computed tomography (SPECT)/positron emission tomography (PET) molecular imaging to investigate parkinsonism is a fast‐developing field. Imaging biomarker research may potentially lead to more accurate disease detection, enabling earlier diagnosis and treatment. This review summarizes recent SPECT/PET advances in radiopharmaceuticals and imaging technologies/analyses that improve the diagnosis of neurodegenerative parkinsonism. We are currently witnessing a turning point in the field. Integrating molecular imaging as a diagnostic technique represents an opportunity to reassess the strategies for diagnosing neurodegenerative parkinsonism. ANN NEUROL 2021;90:711–719