Miracle-dz/UniFAR-FTUs huggingface dataset:
Three-dimensional steady vortex breakdown in laboratory models of confined swirling flows

Recent experiments (Spohn et al. 1998) have shown that the stationary vortex breakdown bubbles, which form along the axis of a closed cylindrical container with a rotating lid, are open, with inflow and outflow, and asymmetric at their downstream end. We study numerically the container flow, by solving the three-dimensional Navier-Stokes equations, in order to clarify the origin and elucidate the underlying physics of these complex, three-dimensional flow features. The stationary vortex breakdown bubbles we simulate exhibit all the asymmetries observed in the laboratory. By analyzing the Lagrangian characteristics of the calculated flowfields, we explain the origin of these asymmetries, clarify the experimentally documented filling and emptying mechanisms, and show that the flow in the interior of stationary vortex breakdown bubbles exhibits chaotic particle paths. In agreement with the observations of Spohn et al. (1998), we also find that the break of axial symmetry in this axisymmetric geometry is linked to the growth of three-dimensional modes inside the cylindrical wall boundary layer.
A comparati e study on term eighting schemes for te t categori ation

The term weighting scheme, which is used to convert documents into vectors in the term spaces, is a vital step in automatic text categorization. The previous studies showed that term weighting schemes dominate the performance rather than the kernel functions of SVMs for the text categorization task. In this paper, we conducted experiments to compare various term weighting schemes with SVM on two widely-used benchmark data sets. We also presented a new term weighting scheme tf.rf for text categorization. The cross-scheme comparison was performed by using McNemar's tests. The controlled experimental results showed that the newly proposed tf.rf scheme is significantly better than other term weighting schemes. Compared with schemes related with tf factor alone, the idf factor does not improve or even decrease the term's discriminating power for text categorization. The binary and tf.chi representations significantly underperform the other term weighting schemes.
Use of Environmental Parameters to Model Pathogenic Vibrios in Chesapeake Bay

Although the transportation sector is a major contributor to urban air pollution and global climate change due to its substantial energy consumptions, previous studies for evacuation practices in this sector seldom took environmental consequences into account. As an attempt in event-related evacuation planning under uncertainty, this study proposed an emission-mitigation-oriented fuzzy evacuation management (emoFEM) model. Comprehensive considerations over system efficiency, environmental protection, economic cost and resource availability were incorporated within a general modeling formulation to facilitate evacuation management in a systematic and compromise manner. Vague and ambiguous information embedded within evacuation problems could be quantified and directly communicated into the optimization process, greatly improving conventional tools for evacuation management under uncertainty. The proposed emoFEM model was then applied to a hypothetic but representative case. Useful solutions were generated, which could help identify timely, safe and cost-effective evacuation schemes without significant disturbances over normal municipal traffic and environmental quality. The advantages of emoFEM were further revealed through comparing its solutions with those from its deterministic counterpart.
Movement Patterns of Polish National Paralympic Team Wheelchair Fencers with Regard To Muscle Activity and Co-Activation Time

Abstract The aim of this study was to determine muscle co-activation and muscle activity time using EMG in Paralympic wheelchair fencers categorized into two disability-level groups: A (n= 7) and B (n= 9). The study was carried out with the use of a 16-channel EMG system. The surface EMG electrodes were placed on the fencer’s body along nine channels: arm muscles - deltoideus middle head (DEL), triceps brachii (TRI) and biceps brachii (BC); forearm muscles - extensor carpi radialis longus (ECR), flexor carpi radialis (FCR); postural (abdominal and back) muscles - the right and the left external oblique abdominal (EOA RT and LT) and latissimus dorsi (LD RT and LT). To assess the relative level of co-activation (simultaneous contraction of both muscles) for the TRI-BC, ECR-FCR, LD RT-EDA RT and LD LT-EDA LT muscle pairs, the co-activation index (CI) was calculated. The collected data were processed using Jamovi. The study hypotheses were verified at the level of significance of p≤0.05 (Welch’s t-test). The normal distribution of analyzed statistical features was checked with the Shapiro-Wilk test. The analysis of muscle activation time, as a percent ratio of three attempts executed in a series, confirmed the study assumptions. Fencers from Group A had a shorter activation time in all tested muscles, with the exception of the ECR (58.24), than fencers from Group B. This confirms that the activation of antagonist muscles representing a centrally programmed anticipatory mechanism stabilizing technical actions was particularly intensified in Group A fencers. The study results indicate that the standard co-activation index (CI) of key muscles involved in wheelchair fencing ranges from 48 to 51%.
Development of Parallel Delta Robot System Controller Based on Raspberry Pi and FPGA

This paper presents a system control design on 2 axes “Delta Industrial Robot”. The control system utilizes both the embedded technology and the “Raspberry Pi" which is a low power consumption PC with open source operating system. The user can communicate with the PC and FPGA (Field Programmable Gate Array) via the system GUI interface. The FPGA acts as dedicated hardware to provide both the efficiency and flexibility for the closed-loop servo control system.To calculate all related kinematics equations for the robot, look up table approach has been implemented to reduce the calculation complexity. Python programs are also implemented to create and search the look up tables. The inverse kinematics is the key to find the position of the robot. A test load of 0.2 kg at the velocity of 2.618 m/s, the S.D. of the end effector’s position of the test result is within 0.06 mm.
Precise Language Responses Challenge Easy Rating Scales - Comparing Clinicians and Respondents Views

Background Closed-ended rating scales are the most used response format for researchers and clinicians to quantify mental states, whereas in natural contexts people communicate with natural language. The reason for using such scales is that they are typically argued to be more precise in measuring mental constructs, whereas the respondents views as to what best communicates mental states are frequently ignored. Methods We assessed respondents (N = 304) degree of depression using rating scales, descriptive words, selected words, and free text responses and probed the respondents and clinicians (N = 40) for their attitudes to the response formats across twelve dimensions related to the precision of communicating their mental states and the ease of responding. Results Respondents found free text to be more precise (e.g., precision d = .88, elaboration d = 2.0) than rating scales, whereas rating scales were rated as easier to respond to (e.g., easier d = -.67, faster d = -1.13). Respondents preferred the free text responses to a greater degree than rating scales compared to clinicians. Conclusions These finding supports the idea that future assessment of mental health can be aided by computational method based on text data.
GUARD: GUAranteed reliability in dynamically reconfigurable systems

Soft errors are a reliability threat for reconfigurable systems implemented with SRAM-based FPGAs. They can be handled through fault tolerance techniques like scrubbing and modular redundancy. However, selecting these techniques statically at design or compile time tends to be pessimistic and prohibits optimal adaptation to changing soft error rate at runtime. We present the GUARD method which allows for autonomous runtime reliability management in reconfigurable architectures: Based on the error rate observed during runtime, the runtime system dynamically determines whether a computation should be executed by a hardened processor, or whether it should be accelerated by inherently less reliable reconfigurable hardware which can trade-off performance and reliability. GUARD is the first runtime system for reconfigurable architectures that guarantees a target reliability while optimizing the performance. This allows applications to dynamically chose the desired degree of reliability. Compared to related work with statically optimized fault tolerance techniques, GUARD provides up to 68.3% higher performance at the same target reliability.
Reinventing virtual care: Bridging the healthcare system and citizen silos to create an integrated future

The pandemic has accelerated the move to virtual care. This has included remote monitoring and implementation of technologies that allow for patient care at home and assisted living for ageing in place. Technologies are available to help consumers to maintain their health and wellness. However, challenges associated with implementing virtual care remain. In this article, we describe some of these challenges, along with the need to develop new models for promoting effective and sustainable virtual care. This includes the need for integration of institutional efforts (eg, government and hospital) with emerging access to commercially available home technologies supplied to patients and citizens. The authors argue that consideration of a personal digital ecosystem and its relation to institutional digital health ecosystems is critical. The authors suggest virtual care be considered in the combined context of the person and healthcare system. Implications for future research directions for virtual care are discussed.
Mixed integer optimization approach to groundwater pollution source identification problems

ABSTRACT In this study, we consider an approach that employs 0–1 type integer programming in a simulation-optimization model to identify the characteristics of groundwater pollutant sources. The advantage of the proposed solution model is that it reduces the dimensions of the unknown variable, where 0–1 type integer variables denote the source position. If the estimated location variable is equal to 0, this means that the corresponding location is not the actual source location and there is no need to estimate its source flux. If the estimated location variable is equal to 1, this means that the corresponding location is the actual source location and the source flux needs to be identified. We evaluated the performance of the proposed model based on four scenarios with different potential source location sets, incomplete data conditions, and noisy data conditions. The results obtained indicated that the proposed solution model is an effective approach for solving groundwater pollution source identification problems.
Barriers and Facilitators Influencing Arab Muslim Immigrant and Refugee Women’s Breast Cancer Screening: A Narrative Review

Introduction: This narrative review identifies barriers and facilitators influencing breast cancer screening among Arab Muslim immigrants and refugees. Low participation rates create health inequities in breast cancer screening among this population. Method: A systematic search of peer-reviewed empirical articles was performed. PRISMA, CASP, and MMAT checklists were used to appraise the studies. Results: Results include 3 themes: individual, health care system and health providers, and cultural factors. Discussion: Lack of fluency in the new country’s language, lack of knowledge, and poor exposure to breast cancer screening may contribute to the Arab Muslim women’s vulnerability to undiagnosed or delayed breast cancer diagnosis.
Veterans receiving a second course of cognitive processing therapy or prolonged exposure therapy: is it better to switch or stay the same?

ABSTRACT Cognitive processing therapy (CPT) and prolonged exposure therapy (PE) are effective psychotherapies for post-traumatic stress disorder (PTSD). However, these treatments also have high rates of dropout and non-response. Therefore, patients may need a second course of treatment. We compared outcomes for patients who switched between CPT/PE and those who repeated CPT/PE during a second course of treatment. We collected data from Iraq and Afghanistan war veterans (n = 2,958) who received a second course of CPT/PE in the Veterans Health Administration from 2001 to 2017 and had symptom outcomes (PTSD checklist; PCL). We measured the association between treatment sequence and change in PCL score over the second course of treatment using hierarchical Bayesian regression, adjusted for sociodemographic and clinical characteristics. All treatment sequences showed a significant reduction in PCL score over time (β = −4.80; HDI95: −5.74, −3.86). Veterans who switched from CPT to PE had modestly greater PCL reductions during the second course than those who repeated CPT. However, no significant difference in PCL change during the second course was observed between veterans who repeated PE and those who switched from PE to CPT. Veterans participating in a second course of CPT/PE can benefit, and switching treatment may be slightly more beneficial following CPT.
Chloroplast protein import machinery and quality control

Most chloroplast proteins are nucleus‐encoded, translated on cytoplasmic ribosomes as precursor proteins, and imported into chloroplasts through TOC and TIC, the translocons of the outer and inner chloroplast envelope membranes. While the composition of the TOC complex is well established, there is still some controversy about the importance of a recently identified TIC complex consisting of Tic20, Tic214, Tic100, and Tic56. TOC and TIC form a supercomplex with a protein channel at the junction of the outer and inner envelope membranes through which preproteins are pulled into the stroma by the ATP‐powered Ycf2 complex consisting of several FtsH‐like ATPases and/or by chloroplast Hsp proteins. Several components of the TOC/TIC system are moonlighting proteins with additional roles in chloroplast gene expression and metabolism. Chaperones and co‐chaperones, associated with TOC and TIC on the cytoplasmic and stromal side of the chloroplast envelope, participate in the unfolding and folding of the precursor proteins and act together with the ubiquitin–proteasome system in protein quality control. Chloroplast protein import is also intimately linked with retrograde signaling, revealing altogether an unsuspected complexity in the regulation of this process.
Factors Associated With Specialists’ Intention to Adopt New Behaviors After Taking Web-Based Continuing Professional Development Courses: Cross-sectional Study

Background Web-based continuing professional development (CPD) is a convenient and low-cost way for physicians to update their knowledge. However, little is known about the factors that influence their intention to put this new knowledge into practice. Objective We aimed to identify sociocognitive factors associated with physicians’ intention to adopt new behaviors as well as indications of Bloom’s learning levels following their participation in 5 web-based CPD courses. Methods We performed a cross-sectional study of specialist physicians who had completed 1 of 5 web-based CPD courses offered by the Federation of Medical Specialists of Quebec. The participants then completed CPD-Reaction, a questionnaire based on Godin’s integrated model for health professional behavior change and with evidence of validity that measures behavioral intention (dependent variable) and psychosocial factors influencing intention (n=4). We also assessed variables related to sociodemographics (n=5), course content (n=9), and course format (eg, graphic features and duration) (n=8). Content variables were derived from CanMEDS competencies, Bloom’s learning levels, and Godin’s integrated model. We conducted ANOVA single-factor analysis, calculated the intraclass correlation coefficient (ICC), and performed bivariate and multivariate analyses. Results A total of 400 physicians participated in the courses (range: 38-135 physicians per course). Average age was 50 (SD 12) years; 56% (n=223) were female, and 44% (n=177) were male. Among the 259 who completed CPD-Reaction, behavioral intention scores ranged from 5.37 (SD 1.17) to 6.60 (SD 0.88) out of 7 and differed significantly from one course to another (P<.001). The ICC indicated that 17% of the total variation in the outcome of interest, the behavioral intention of physicians, could be explained at the level of the CPD course (ICC=0.17). In bivariate analyses, social influences (P<.001), beliefs about capabilities (P<.001), moral norm (P<.001), beliefs about consequences (P<.001), and psychomotor learning (P=.04) were significantly correlated with physicians’ intention to adopt new behaviors. Multivariate analysis showed the same factors, except for social influences and psychomotor learning, as significantly correlated with intention. Conclusions We observed average to high behavioral intention scores after all 5 web-based courses, with some variations by course taken. Factors affecting physicians’ intention were beliefs about their capabilities and about the consequences of adopting new clinical behaviors, as well as doubts about whether the new behavior aligned with their moral values. Our results will inform design of future web-based CPD courses to ensure they contribute to clinical behavior change.
PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology

Automated recognition of Human Phenotype Ontology (HPO) terms from clinical texts is of significant interest to the field of clinical data mining. In this study, we develop a combined deep learning method named PhenoBERT for this purpose. PhenoBERT uses BERT, currently the state-of-the-art NLP model, as its core model for evaluating whether a clinically relevant text segment (CTS) could be represented by an HPO term. However, to avoid unnecessary comparison of a CTS with each of ∼14,000 HPO terms using BERT, we introduce a two-levels CNN module consisting of a series of CNN models organized at two levels in PhenoBERT. For a given CTS, the CNN module produces only a short list of candidate HPO terms for BERT to evaluate, significantly improving the computational efficiency. In addition, BERT is able to assign an ancestor HPO term to a CTS when recognition of the direct HPO term is not successful, mimicking the process of HPO term assignment by human. In two benchmarks, PhenoBERT outperforms four traditional dictionary-based methods and two recently developed deep learning-based methods in two benchmark tests, and its advantage is more obvious when the recognition task is more challenging. As such, PhenoBERT is of great use for assisting in the mining of clinical text data.
A parallelized, perfused 3D triculture model of leukemia for in vitro drug testing of chemotherapeutics

Leukemia patients undergo chemotherapy to combat the leukemic cells (LCs) in the bone marrow. During therapy not only the LCs, but also the blood-producing hematopoietic stem and progenitor cells (HSPCs) may be destroyed. Chemotherapeutics targeting only the LCs are urgently needed to overcome this problem and minimize life-threatening side-effects. Predictive in vitro drug testing systems allowing simultaneous comparison of various experimental settings would enhance the efficiency of drug development. Here, we present a three-dimensional (3D) human leukemic bone marrow model perfused using a magnetic, parallelized culture system to ensure media exchange. Chemotherapeutic treatment of the acute myeloid leukemia cell line KG-1a in 3D magnetic hydrogels seeded with mesenchymal stem/stromal cells (MSCs) revealed a greater resistance of KG-1a compared to 2D culture. In 3D tricultures with HSPCs, MSCs and KG-1a, imitating leukemic bone marrow, HSPC proliferation decreased while KG-1a cells remained unaffected post treatment. Non-invasive metabolic profiling enabled continuous monitoring of the system. Our results highlight the importance of using biomimetic 3D platforms with proper media exchange and co-cultures for creating in vivo-like conditions to enable in vitro drug testing. This system is a step towards drug testing in biomimetic, parallelized in vitro approaches, facilitating the discovery of new anti-leukemic drugs.
Involuntary oculomotor inhibition markers of saliency and deviance in response to auditory sequences

Our eyes move constantly but are often inhibited momentarily in response to external stimuli (oculomotor inhibition [OMI]), depending on the stimulus saliency, anticipation, and attention. Previous studies have shown prolonged OMI for auditory oddballs; however, they required counting the oddballs, possibly reflecting voluntary attention. Here, we investigated whether the “passive” OMI response to auditory deviants can provide a quantitative measure of deviance strength (pitch difference) and studied its dependence on the inter-trial interval (ITI). Participants fixated centrally and passively listened to repeated short sequences of pure tones that contained a deviant tone either regularly or with 20% probability (oddballs). In an “active” control experiment, participants counted the deviant or the standard. As in previous studies, the results showed prolonged microsaccade inhibition and increased pupil dilation following the rare deviant tone. Earlier inhibition onset was found in proportion to the pitch deviance (the saliency effect), and a later release was found for oddballs, but only for ITI <2.5 seconds. The active control experiment showed similar results when counting the deviant but longer OMI for the standard when counting it. Taken together, these results suggest that OMI provides involuntary markers of saliency and deviance, which can be obtained without the participant's response.
Maximal vs. explosive knee extensor strength in professional soccer players: inter-limb asymmetries and relationship with knee function

ABSTRACT The main aims of this study were to compare the magnitude of inter-limb asymmetry (ILA) and the relation with self-reported knee function between maximal and explosive knee extensor strength outcomes in professional soccer players. Forty-six male soccer players completed different maximal isokinetic and isometric contractions of the knee extensors for the assessment of maximal strength (peak torque and maximal voluntary contraction (MVC) torque) and explosive strength (early, intermediate, late, and peak rate of torque development (RTD)). Self-reported knee function was assessed with the International Knee Documentation Committee (IKDC) and Lysholm knee scoring scales. Peak torque and MVC torque showed comparable ILAs (8-9%), both being significantly lower than all RTD ILAs (16% on average; p < 0.001). ILAs for early RTD (21%) and peak RTD (19%) were significantly higher than all the other variables (p < 0.05). Only early and intermediate RTD were significantly correlated – though weakly – with both IKDC (rho = 0.32 for both) and Lysholm (rho = 0.36 and 0.30, respectively) scores. We conclude that explosive knee extensor strength – early RTD in particular – exhibited larger ILAs and better relations with self-reported knee function than peak torque and MVC torque in professional soccer players. These results confirm the validity and functional relevance of early RTD and the need for its inclusion in routine performance testing for soccer players. Highlights Professional soccer players exhibited larger inter-limb deficits in knee extension strength for explosive actions than for the widely-used isokinetic test. Self-reported knee function was significantly correlated with explosive strength of the knee extensor muscles but not with maximal strength. The first 50 ms of an explosive knee extension seem to be crucial for self-perceived sport performance and possibly for injury prevention.