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European Journal of Radiology Open Jun 2024To evaluate artificial intelligence-based computer-aided diagnosis (AI-CAD) for screening mammography, we analyzed the diagnostic performance of radiologists by...
PURPOSE
To evaluate artificial intelligence-based computer-aided diagnosis (AI-CAD) for screening mammography, we analyzed the diagnostic performance of radiologists by providing and withholding AI-CAD results alternatively every month.
METHODS
This retrospective study was approved by the institutional review board with a waiver for informed consent. Between August 2020 and May 2022, 1819 consecutive women (mean age 50.8 ± 9.4 years) with 2061 screening mammography and ultrasound performed on the same day in a single institution were included. Radiologists interpreted screening mammography in clinical practice with AI-CAD results being provided or withheld alternatively by month. The AI-CAD results were retrospectively obtained for analysis even when withheld from radiologists. The diagnostic performances of radiologists and stand-alone AI-CAD were compared and the performances of radiologists with and without AI-CAD assistance were also compared by cancer detection rate, recall rate, sensitivity, specificity, accuracy and area under the receiver-operating-characteristics curve (AUC).
RESULTS
Twenty-nine breast cancer patients and 1790 women without cancers were included. Diagnostic performances of the radiologists did not significantly differ with and without AI-CAD assistance. Radiologists with AI-CAD assistance showed the same sensitivity (76.5%) and similar specificity (92.3% vs 93.8%), AUC (0.844 vs 0.851), and recall rates (8.8% vs. 7.4%) compared to standalone AI-CAD. Radiologists without AI-CAD assistance showed lower specificity (91.9% vs 94.6%) and accuracy (91.5% vs 94.1%) and higher recall rates (8.6% vs 5.9%, all p < 0.05) compared to stand-alone AI-CAD.
CONCLUSION
Radiologists showed no significant difference in diagnostic performance when both screening mammography and ultrasound were performed with or without AI-CAD assistance for mammography. However, without AI-CAD assistance, radiologists showed lower specificity and accuracy and higher recall rates compared to stand-alone AI-CAD.
PubMed: 38293282
DOI: 10.1016/j.ejro.2023.100545 -
Journal of Strength and Conditioning... Oct 2023Trahey, KM, Lapp, EM, Talipan, TN, Guydan, TJ, Krupka, AJ, and Ellis, CE. The effect of lifting straps on deadlift performance in females. J Strength Cond Res 37(10):...
Trahey, KM, Lapp, EM, Talipan, TN, Guydan, TJ, Krupka, AJ, and Ellis, CE. The effect of lifting straps on deadlift performance in females. J Strength Cond Res 37(10): 1924-1928, 2023-Using lifting straps (LS) while deadlifting may increase the total number of repetitions performed and barbell velocity, and preserve grip strength; however, research in this area has only been conducted on men. This study investigated the effects of lifting straps on the total number of repetitions, mean and peak barbell velocity, and grip strength during the deadlift exercise in women. Ten women (20.1 ± 1.1 years; 165.4 ± 5.6 cm, 68.9 ± 10.3 kg) with 3.2 ± 2.1 years of resistance training experience participated in the study. After completing a 1-repetition maximum (1RM) test without LS, subjects completed 2 protocols: performing 3 sets of as many repetitions as possible of 80% 1RM with lifting straps (WS) and without lifting straps (NS). During both protocols, mean and peak barbell velocity were measured during each set, and grip strength was recorded before deadlifting and after each set. Repeated-measures analysis of variance were used to examine differences in the variables of interest, with an alpha level of 0.05 used to establish statistical significance. The WS condition allowed participants to perform significantly more reps while resulting in no statistically significant differences in mean or peak barbell velocity. The magnitude of grip strength loss was significantly lower during the WS condition. Results indicate that using LS while deadlifting allows women to perform more repetitions with greater preserved grip strength without negatively affecting barbell velocity. Thus, LS appear beneficial for deadlift performance in women and should be considered during resistance training involving the deadlift exercise.
Topics: Male; Humans; Female; Exercise; Hand Strength; Resistance Training
PubMed: 37729509
DOI: 10.1519/JSC.0000000000004494 -
IEEE Transactions on Pattern Analysis... Oct 2023Network pruning and quantization are proven to be effective ways for deep model compression. To obtain a highly compact model, most methods first perform network pruning...
Network pruning and quantization are proven to be effective ways for deep model compression. To obtain a highly compact model, most methods first perform network pruning and then conduct quantization based on the pruned model. However, this strategy may ignore that the pruning and quantization would affect each other and thus performing them separately may lead to sub-optimal performance. To address this, performing pruning and quantization jointly is essential. Nevertheless, how to make a trade-off between pruning and quantization is non-trivial. Moreover, existing compression methods often rely on some pre-defined compression configurations (i.e., pruning rates or bitwidths). Some attempts have been made to search for optimal configurations, which however may take unbearable optimization cost. To address these issues, we devise a simple yet effective method named Single-path Bit Sharing (SBS) for automatic loss-aware model compression. To this end, we consider the network pruning as a special case of quantization and provide a unified view for model pruning and quantization. We then introduce a single-path model to encode all candidate compression configurations, where a high bitwidth value will be decomposed into the sum of a lowest bitwidth value and a series of re-assignment offsets. Relying on the single-path model, we introduce learnable binary gates to encode the choice of configurations and learn the binary gates and model parameters jointly. More importantly, the configuration search problem can be transformed into a subset selection problem, which helps to significantly reduce the optimization difficulty and computation cost. In this way, the compression configurations of each layer and the trade-off between pruning and quantization can be automatically determined. Extensive experiments on CIFAR-100 and ImageNet show that SBS significantly reduces computation cost while achieving promising performance. For example, our SBS compressed MobileNetV2 achieves 22.6× Bit-Operation (BOP) reduction with only 0.1% drop in the Top-1 accuracy.
PubMed: 37167046
DOI: 10.1109/TPAMI.2023.3275159 -
Journal of Molecular Modeling Aug 2023Selecting high performance polymer materials for organic solar cells (OSCs) remains a compelling goal to improve device morphology, stability, and efficiency. To achieve...
CONTEXT
Selecting high performance polymer materials for organic solar cells (OSCs) remains a compelling goal to improve device morphology, stability, and efficiency. To achieve these goals, machine learning has been reported as a powerful set of algorithms/techniques to solve complex problems and help/guide exploratory researchers to screen, map, and develop high performance materials. In present work, we have applied machine learning tools to screen data from reported studies and designed new polymer acceptor materials, respectively. Quantitative structure-activity relationship (QSAR) models were generated using machine learning-assisted simulation techniques. For this purpose, 3000 molecular descriptors are generated. Consequently, molecular descriptors having key effect on power conversion efficiency (PCE) were identified. Moreover, numerous regression models (e.g., random forest and bagging regressor models) were developed to predict the PCE. In particular, new materials were designed based on the similarity analysis. The GDB17 chemical database consisting of 166 million organic molecules in an ordered form is used for performing similarity analysis. A similarity behavior between GDB17 materials and the materials reported in literature is studied using RDKit (a cheminformatics software). Noteworthily, 100 monomers proved to be unique and effective, and PCEs of these monomers are predicted. Among these monomers, four monomers exhibited PCE higher than 14%, which is better than various reported studies. Our methodology provides a unique, time- and cost-efficient approach to screening and designing new polymers for OSCs using similarity analysis without revisiting the reported studies.
METHODS
To perform machine learning analysis, data from reported studies and online databases was collected. Different molecular descriptors were generated for polymer materials utilizing Dragon software. 3D structures of studied molecules were applied as input (SDF; structure data file format). Importantly, about 3000 molecular descriptors were generated. Comma-separated value (.csv) file format was used to export these molecular descriptors. To shortlist best descriptors, univariate regression analysis was performed. These descriptors were further utilized for training machine learning models. Moreover, necessary packages of Python for data analysis and visualization were imported such as Matplotlib, Numpy, Pandas, Scikit-learn, Seaborn, and Scipy. Random forest and bagging regressor models were applied for performing machine learning analysis. A cheminformatics software, RDKit, was applied for similarity analysis.
PubMed: 37530879
DOI: 10.1007/s00894-023-05677-3 -
Canadian Urological Association Journal... Aug 2023Radical cystectomy (RC) is a complex oncological surgical procedure and population studies of routine surgical care have suggested suboptimal results compared to...
INTRODUCTION
Radical cystectomy (RC) is a complex oncological surgical procedure and population studies of routine surgical care have suggested suboptimal results compared to high-volume centers of excellence. A previous Canadian bladder cancer quality-of-care consensus led to adoption of multiple key quality-of-care indicators, with associated benchmarks created using available evidence and expert opinion to inform and measure future performance. Herein, we report real-life benchmark performance for the management of muscle-invasive bladder cancer (MIBC) relative to expert opinion guidance.
METHODS
This is a population-based, retrospective, cohort study that used the Ontario Cancer Registry (OCR) to identify all incident patients who underwent RC from 2009-2013. Electronic records of treatment from 1573 patients were linked to OCR; pathology records were obtained for all cases and reviewed by a team of trained data abstractors. The primary objective was to describe benchmarks for identified indicators, first as median values obtained across hospitals or providers, as well as a "pared-mean" approach to identify a benchmark population of "top performance," as defined as the best outcome accomplished for at least 10% of the population.
RESULTS
Overall, performance in Ontario across all indicators fell short of expert opinion-determined benchmarks. Annual surgical volume by each surgeon performing a RC (benchmark >6, percent of institutions meeting benchmark=20%), percent of patients with MIBC referred preoperatively to medical oncology (MO; benchmark>90%, percent of institutions meeting benchmark=2%) and radiation oncology (RO; benchmark>50%, percent of institutions meeting benchmark=0%), time to cystectomy within six weeks of transurethral resection of bladder tumor (TURBT) in patients without neoadjuvant chemotherapy (benchmark <6 weeks, percent of institutions meeting benchmark=0%), percent of patients with adequate lymph node dissection (defined as >14 nodes, benchmark>85%, percent of institutions meeting benchmark=0%), percent of patients with positive margins post-RC (benchmark <10%, percent of institutions meeting benchmark=46%), and 90-day mortality (benchmark<5%, percent of institutions meeting benchmark=37%) fell considerably short. Simply evaluating benchmarks across the province as median performance significantly underestimated benchmarks that were possible by top-performing hospitals.
CONCLUSIONS
Performance through most bladder cancer quality-of-care indicators fall short of benchmarks proposed by expert opinion. Different methodologies, such as a paredmean approach of top performers, may provide more realistic benchmarking.
PubMed: 37581551
DOI: 10.5489/cuaj.8231 -
ACS Applied Materials & Interfaces Jul 2023Based on the different dielectric properties of materials and the selective heating property of microwaves, the ultrafast (30 s) preparation of S-NiS@SP@Bitu as a...
Based on the different dielectric properties of materials and the selective heating property of microwaves, the ultrafast (30 s) preparation of S-NiS@SP@Bitu as a cathode material for lithium-sulfur batteries was achieved using bitumen, sulfur, Super P, and nickel naphthenate as raw materials for the first time, under microwave treatment. NiS@SP@Bitu forms Li-N, Li-O, Li-S, and Ni-S bonds with polysulfide, which contributes to promoting the adsorption of polysulfide, reducing the precipitation and decomposition energy barrier of LiS, and accelerating the catalytic conversion of polysulfide, as result of inhibiting the "shuttle effect" and improving the electrochemical performance. S-NiS@SP@Bitu as the sulfur cathode material demonstrates outstanding rate performance (518.6 mAh g at 4C), and stable cycling performance. The lithium-sulfur battery with a sulfur loading of 4.8 mg cm shows an areal capacity of 4.6 mAh cm. Based on the advantages of microwave selective and rapid heating, this method creatively realized that the sulfur carrier material was prepared and sulfur was fixed in it at the same time. Therefore, this method would have implications for the preparation of sulfur cathode materials.
PubMed: 37357370
DOI: 10.1021/acsami.3c04972 -
Journal of Lesbian Studies Nov 2023This article argues that the concept of "gender ideology" produces and reproduces reactionary subjectivities using different media (videos, texts, memes, images, etc.),...
This article argues that the concept of "gender ideology" produces and reproduces reactionary subjectivities using different media (videos, texts, memes, images, etc.), diverse platforms (Facebook, WhatsApp, YouTube, TikTok, etc.), and performative actions that form a decentralized propaganda machine that propagates, mobilizes, agitates, and organizes reactionary bases. Using close reading as method of inquiry, I analyze a vast archive of images, videos, and documents from the Spanish organization Hazte Oír/CitizenGo, focusing on the # in which buses with transphobic (2017) and antifeminist (2019) slogans toured different cities across Spain and around the world.The article unfolds in four parts. In the first part, I describe gender ideology and the bus campaign as the product of a decentralized propaganda machine that produces, agitates, and organizes reactionary subjectivities through media and incarnated discourses. In the second section, I situate my perspective in relation to existing literature about gender ideology. In the third section, I will illustrate how "gender ideology" relies on the appropriation of the vocabulary and mobilization strategies traditionally associated with liberation movements as well as a fascist and right-wing repertoire of performative and media strategies. In the final part, I show the importance of fostering a to fight "gender ideology," an approach that supports the work of activists who are fighting in the trenches, builds on efforts to decenter white cis women as the subject of feminism, supports sex workers, and reclaims media and performance as indispensable weapons in the political battle.
PubMed: 37927107
DOI: 10.1080/10894160.2023.2275718 -
Disability and Rehabilitation.... Jun 2024To conduct a systematic review on the impacts of using mechanical assistive devices on function, performance in activities and participation of persons with upper... (Review)
Review
PURPOSE
To conduct a systematic review on the impacts of using mechanical assistive devices on function, performance in activities and participation of persons with upper extremity impairments, and to synthesize the strengths and limitations of these devices.
METHOD
Three independent reviewers conducted systematic searches of articles published between 2003 and 2023 in Compendex, Inspec, Embase, PubMed/Medline, IEEE Xplore, and Web of Science, as well as manual searches on the RESNA website for conference papers over the same period. The methodological quality of articles was appraised using the tool.
RESULTS
From the 34 retained studies, 28 mechanical devices were identified and classified into two categories: (1) mobile arm supports (MASs) designed to perform multiple activities, and (2) devices used to assist with a specific activity of daily living (ADL). Overall, MASs helped users to perform manual activities in elevation and/or against gravity. Specific ADL devices allowed users to perform unique activities requiring fine motor skills such as opening a medicine container. Some of these devices have advantages like portability, adaptability, low cost, and ease of use. Limitations most often reported included interference or mobility restraints.
CONCLUSION
This review synthesizes the impacts of mechanical devices on the three domains of the International Classification of Functioning, Disability and Health (ICF) for individuals with upper extremity impairments. Impacts regarding function and performance in activities were more often measured than participation. Future studies should include outcomes related to participation, as taking this aspect into account might favor successful continued use of assistive devices.
PubMed: 38864384
DOI: 10.1080/17483107.2024.2356833 -
Perspectives on Psychological Science :... Jul 2023Psychologists have studied the ancient concept of wisdom for 3 decades. Nevertheless, apparent discrepancies in theories and empirical findings have left the nomological...
Psychologists have studied the ancient concept of wisdom for 3 decades. Nevertheless, apparent discrepancies in theories and empirical findings have left the nomological network of the construct unclear. Using multilevel meta-analyses, we summarized wisdom's correlations with age, intelligence, the Big Five personality traits, narcissism, self-esteem, social desirability, and well-being. We furthermore examined whether these correlations were moderated by the general approach to conceptualizing and measuring wisdom (i.e., phenomenological wisdom as indexed by self-report vs. performative wisdom as indexed by performance ratings), by specific wisdom measures, and by variable-specific factors (e.g., age range, type of intelligence measures, and well-being type). Although phenomenological and performative approaches to conceptualizing and measuring wisdom had some unique correlates, both were correlated with openness, hedonic well-being, and eudaimonic well-being, especially the growth aspect of eudaimonic well-being. Differences between phenomenological and performative wisdom are discussed in terms of the differences between typical and maximal performance, self-ratings and observer ratings, and global and state wisdom. This article will help move the scientific study of wisdom forward by elucidating reliable wisdom correlates and by offering concrete suggestions for future empirical research based on the meta-analytic findings.
Topics: Humans; Self Concept; Intelligence; Narcissism; Personality
PubMed: 36322834
DOI: 10.1177/17456916221114096 -
Attention, Perception & Psychophysics Oct 2023In three experiments, individual differences in preparatory control in the Stroop task were examined. Participants performed variants of the Stroop task while pupillary...
In three experiments, individual differences in preparatory control in the Stroop task were examined. Participants performed variants of the Stroop task while pupillary responses were examined during the preparatory interval. Variation in working memory capacity was also examined. High Stroop performers tended to demonstrate larger preparatory pupillary responses than low Stroop performers. In Experiment 2, when participants were given pre-cues indicating the congruency of the upcoming trial (MATCHING vs. CONFLICTING), high Stroop performers had larger preparatory pupillary responses for incongruent trials compared to congruent trials, whereas low Stroop performers demonstrated similar preparatory pupillary responses on both incongruent and congruent trials. These results suggest that variation in Stroop performance is partially due to individual differences in the ability to ramp up and regulate the intensity of attention allocated to preparatory control processes. Additionally, there was limited evidence that preparatory control processes partially account for the relation between working memory capacity and performance on the Stroop. Overall, these results provide evidence that individual differences in Stroop performance are partialy due to variation in preparatory control.
Topics: Humans; Stroop Test; Reaction Time; Attention; Memory, Short-Term; Cues
PubMed: 37407798
DOI: 10.3758/s13414-023-02751-z