Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical therapy management of an athlete with a Kim lesion using physical agents, manual therapy, and therapeutic exercise: a case report

ABSTRACT Background Several operative procedures have been described for treating a Kim lesion. However, no physical therapy intervention has been documented as conservative treatment for these cases. Objective The purpose of this report was to describe a physical therapy management protocol for an athlete with a Kim lesion. Case Description A 22-year-old female volleyball athlete presented to physical therapy with an 8-month history of right shoulder pain when performing the serve and attack sports gestures. Pain was 5/10 on the visual analogue scale (VAS). Pain was localized along the glenohumeral joint, around the long head of the biceps brachii tendon, and at the subscapularis tendon insertion. Shoulder range of motion (ROM) was limited to flexion (150°), abduction (158°), and internal rotation (80°). Kim lesion was confirmed by clinical tests (Kim test and Jerk test) and via magnetic resonance imaging. Shoulder functional outcomes were verified through the University of California Los Angeles (UCLA) shoulder rating scale. Upper extremity sensorimotor control was verified in bimanual support by stabilometry on a baropodometer. Core function was assessed through a plank test and a side plank test. The 8-week course of treatment included manual therapy, physical agents, shoulder and scapular mobilizations, resistance and sensorimotor exercises, core strengthening, and functional exercises. Outcomes Physical therapy interventions resulted in a decrease in VAS pain (3/10), an increase in shoulder ROM (10.8°) and in UCLA shoulder score (from 22 to 33 points), a reduction in the center of pressure displacement (27–56%), and an increase in plank test (45%) and side plank test (21–29%) performance. The athlete had a full return to sport after the treatment. Conclusion We concluded that the protocol used for conservative management of Kim lesion resulted in clinical satisfactory physical and functional outcomes for the athlete.
Clinical Course and Predictors of Subsequent Recurrence and Survival of Patients With Ipsilateral Breast Tumor Recurrence

Purpose To evaluate the clinical course and long-term outcomes of patients with ipsilateral breast tumor recurrence (IBTR) after breast-conserving surgery (BCS) and identify independent prognostic factors for further recurrence. Methods In this retrospective study, we reviewed the records of 327 patients who experienced IBTR after undergoing BCS for breast cancer at Asan Medical Center during 1990–2013. Overall survival (OS) after IBTR and cumulative incidence rates of recurrences after IBTR were calculated. The association of clinicopathological factors with survival and the development of further recurrence after IBTR was determined in multivariate analysis. Results At a median follow-up of 127.7 months, 97 patients experienced recurrence after IBTR. The 5-year and 10-year cumulative incidence rates of recurrence after IBTR were 32% and 41%, respectively. The 5-year and 10-year OS rates after IBTR were 86.6% and 70.3%, respectively. In multivariate analysis, hormone receptor negativity was associated with decreases in OS after IBTR (hazard ratio [HR] 2.83, 95% confidence interval [CI] 1.18–6.78). Patients with longer disease-free interval (DFI) had decreased risks of second recurrence (HR .99, 95% CI .99–1.00), and second locoregional recurrence (LRR) (HR .98, 95% CI .97–.99). Lymphovascular invasion (LVI) of IBTR was associated with increased recurrence rates (second recurrence-free survival, HR 3.58, 95% CI 2.16–5.94; second LRR free survival, HR 5.21, 95% CI 2.77–9.78; second distant metastasis-free survival, 2.11, 95% CI 1.04–4.30) and lower survival rates (OS after IBTR, HR 4.64, 95% CI 2.23–9.67). Conclusions Despite subsequent recurrences during long-term follow-up, the survival rates after IBTR remained high. Patients with hormone receptor-negative tumors, shorter DFI, and tumors that present LVI of IBTR had higher risks for recurrence and poor survival rates after IBTR. The study findings may help in understanding the course and prognosis of IBTR patients and identifying high-risk IBTR to establish management strategies.
Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation

Automated layer segmentation plays an important role for retinal disease diagnosis in optical coherence tomography (OCT) images. However, the severe retinal diseases result in the performance degeneration of automated layer segmentation approaches. In this paper, we present a robust semi-supervised layer segmentation network to relieve the model failures on abnormal retinas. We obtain the lesion features from the labeled images with disease-balanced distribution, and utilize the unlabeled images to supplement the layer structure information. Specifically, in our method, the cross-consistency training is utilized over the predictions of different decoders, and we enforce a consistency between different decoder predictions to improve the encoder's representation. Then, we propose a sequence prediction branch based on self-supervised manner, which is designed to predict the position of each jigsaw puzzle to obtain sensory perception of the retinal layer structure. To this task, a layer spatial pyramid pooling (LSPP) module is designed to extract multi-scale layer spatial features. Furthermore, we use the optical coherence tomography angiography (OCTA) to supplement the information damaged by diseases. The experimental results illustrate that our method achieves more robust results compared with current supervised segmentation methods. Meanwhile, advanced segmentation performance can be obtained compared with state-of-the-art semi-supervised segmentation methods.
Evaluation of Muscle Synergy During Exoskeleton-Assisted Walking in Persons With Multiple Sclerosis

Objective: Gait deficit after multiple sclerosis (MS) can be characterized by altered muscle activation patterns. There is preliminary evidence of improved walking with a lower limb exoskeleton in persons with MS. However, the effects of exoskeleton-assisted walking on neuromuscular modifications are relatively unclear. The objective of this study was to investigate the muscle synergies, their activation patterns and the differences in neural strategies during walking with (EXO) and without (No-EXO) an exoskeleton. Methods: Ten subjects with MS performed walking during EXO and No-EXO conditions. Electromyography signals from seven leg muscles were recorded. Muscle synergies and the activation profiles were extracted using non-negative matrix factorization. Results: The stance phase duration was significantly shorter during EXO compared to the No-EXO condition (p<0.05). Moreover, typically 3-5 modules were extracted in each condition. The module-1 (comprising Vastus Medialis and Rectus Femoris muscles), module-2 (comprising Soleus and Medial Gastrocnemius muscles), module-3 (Tibialis Anterior muscle) and module-4 (comprising Biceps Femoris and Semitendinosus muscles) were comparable between conditions. During EXO condition, Semitendinosus and Vastus Medialis emerged in module-5 in 7/10 subjects. Compared to No-EXO, average activation amplitude was significantly reduced corresponding to module-2 during the stance phase and module-3 during the swing phase during EXO. Conclusion: Exoskeleton-assistance does not alter the existing synergy modules, but could induce a new module to emerge, and alters the control of these modules, i.e., modifies the neural commands indicated by the reduced amplitude of the activation profiles. Significance: The work provides insights on the potential underlying mechanism of improving gait functions after exoskeleton-assisted locomotor training.
Stability and Change in Sexual Orientation and Genital Arousal over Time

ABSTRACT Longitudinal work suggests that sexual orientation can change over time in men and women. These studies, however, may be susceptible to the bias of self-report. The current study therefore examined self-reported sexual orientation in addition to an objective correlate: genital arousal to erotic videos showing males or females. For 52 men (19 heterosexual, 19 bisexual, 14 homosexual) and 67 women (31 heterosexual, 18 bisexual, 18 homosexual), these measures were taken twice, with approximately 1 year between sessions. For self-reported sexual orientation, women reported lower relative stability (weaker correlation) than men over time, even though women did not change more overall (no stronger mean difference) than men between sessions. Bisexual individuals reported lower relative stability and more mean change than heterosexual and homosexual individuals. For genital arousal, across all groups, response patterns were correlated over time to a similar extent and showed little difference between sessions. Moreover, change in self-reported sexual orientation did not correspond with the change in genital arousal, regardless of sex. Perhaps self-reports overestimate changes in sexual orientation, since these changes were not reflected in physiological sexual response.
Organization of minicircle cassettes and guide RNA genes in Trypanosoma brucei

Mitochondrial DNA of protists of order Kinetoplastida comprises thousands of interlinked circular molecules arranged in a network. There are two types of molecules called minicircles and maxicircles. Minicircles encode guide RNA (gRNA) genes whose transcripts mediate post-transcriptional editing of maxicircle encoded genes. Minicircles are diverse. The human sleeping sickness parasite Trypanosoma brucei has one of the most diverse sets of minicircle classes of all studied trypanosomatids with hundreds of different classes, each encoding one to four genes mainly within cassettes framed by 18 bp inverted repeats. A third of cassettes have no identifiable gRNA genes even though their sequence structures are similar to cassettes with identifiable genes. Only recently have almost all minicircle classes for some subspecies and isolates of T. brucei been sequenced and annotated with corresponding verification of gRNA expression by small-RNA transcriptome data. These data sets provide a rich resource for understanding the structure of minicircle classes, cassettes and gRNA genes and their transcription. Here, we provide a statistical description of the functionality, expression status, structure and sequence of gRNA genes in a differentiation-competent, laboratory-adapted strain of T. brucei. We obtain a clearer definition of what is a gRNA gene. Our analysis supports the idea that many, if not all, cassettes without an identifiable gRNA gene contain decaying remnants of once functional gRNA genes. Finally, we report several new, unexplained discoveries such as the association between cassette position on the minicircle and gene expression and functionality, and the association between gene initiation sequence and anchor position.
The effects of oxide stress waveform on MOSFET performance

Three different waveforms were used to study the behavior of n-MOSFETs after dynamic oxide stress. It is shown that the transport and detrapping properties of holes generated near the anode can account for the differences observed after unipolar and bipolar oxide stressing. Bipolar stress yields a lower rate of bulk charge trapping and longer time to breakdown than unipolar stress. The difference is dependent on both field and frequency. At the same time, bipolar stress leads to enhanced interface trap generation. Since the gate-drain overlap region of MOSFETs in circuits is subject to bipolar stress, DC transistor stress tests may underestimate the MOSFET degradation rate. The observation that interface trap density does not saturate during bipolar stress as readily as during unipolar stress is particularly alarming. Bidirectional tunneling current creates a larger number of interface traps than does unidirectional gate current. Even though unipolar stressed devices suffer more bulk trapping and TDDB (time-dependent dielectric breakdown) degradation than do bipolar stressed devices, the degradation in transconductance, mobility, and threshold voltage is worse in bipolar stressed devices. <<ETX>>
Software design to calculate and simulate the mechanical response of electromechanical lifts

Lift engineers and lift companies which are involved in the design process of new products or in the research and development of improved components demand a predictive tool of the lift slender system response before testing expensive prototypes. A method for solving the movement of any specified lift system by means of a computer program is presented. The mechanical response of the lift operating in a user defined installation and configuration, for a given excitation and other configuration parameters of real electric motors and its control system, is derived. A mechanical model with 6 degrees of freedom is used. The governing equations are integrated step by step through the Meden-Kutta algorithm in the MATLAB platform. Input data consists on the set point speed for a standard trip and the control parameters of a number of controllers and lift drive machines. The computer program computes and plots very accurately the vertical displacement, velocity, instantaneous acceleration and jerk time histories of the car, counterweight, frame, passengers/loads and lift drive in a standard trip between any two floors of the desired installation. The resulting torque, rope tension and deviation of the velocity plot with respect to the setpoint speed are shown. The software design is implemented in a demo release of the computer program called ElevaCAD. Further on, the program offers the possibility to select the configuration of the lift system and the performance parameters of each component. In addition to the overall system response, detailed information of transients, vibrations of the lift components, ride quality levels, modal analysis and frequency spectrum (FFT) are plotted.
Differentiable Causal Discovery under latent interventions PyCausal: Package for deﬁning large scale Structural Causal Models

Recent work has shown promising results in causal discovery by leveraging interventional data with gradient-based methods, even when the intervened variables are unknown. However, previous work assumes that the correspondence between samples and interventions is known, which is often unrealistic. We envision a scenario with an extensive dataset sampled from multiple intervention distributions and one observation distribution, but where we do not know which distribution originated each sample and how the intervention affected the system, i.e. , interventions are entirely latent. We propose a method based on neural networks and variational inference that addresses this scenario by framing it as learning a shared causal graph among an inﬁnite mixture (under a Dirichlet process prior) of intervention structural causal models . Experiments with synthetic and real data show that our approach and its semi-supervised variant are able to discover causal relations in this challenging scenario. Experiments with synthetic data show that our approach can relations
Influence of APOA5 locus on the treatment efficacy of 1 three statins: evidence from a randomized pilot study in 2 Chinese subjects 3

22 Pharmacogenetics or pharmacogenomics approaches are important for addressing the individual 23 variabilities of drug efficacy especially in the era of precision medicine. One particular interesting 24 gene to investigate is APOA5 which has been repeatedly linked with the inter-individual 25 variations of serum triglycerides. Here, we explored APOA5 -statin interactions in 195 Chinese 26 subjects randomized to rosuvastatin (5-10 mg/day), atorvastatin (10-20 mg/day), or simvastatin 27 (40 mg/day) for 12 weeks by performing a targeted genotyping analysis of the APOA5 promoter 28 SNP rs662799 (-1131T>C). There were no significant differences between the treatment arms for 29 any of the statin-induced changes in clinical biomarkers. Reductions in LDL cholesterol were 30 influenced by the APOA5 genotype in all three treatment groups. By contrast, changes in HDL 31 cholesterol and triglycerides were only affected by the APOA5 genotype in the atorvastatin and 32 simvastatin groups and not in the rosuvastatin group. Our results support earlier findings 33 indicating that rosuvastatin is a better treatment option and that future studies should consider 34 stratifying subjects not only by genetic background but also by statin type. performed a pilot study to explore APOA5 -statin interactions in 195 subjects randomized to rosuvastatin, atorvastatin, or simvastatin therapy for 12 weeks. To address whether the clinical responses of three types of statins differ between subjects with the same APOA5 genetic background, we genotyped APOA5 rs662799 SNP and measured the fasting plasma concentrations of triglycerides, cholesterols, free fatty acids, and four apolipoproteins both before and after statin treatments. compared Chi-square test to confirm the effect of APOA5 genotype on different biomarkers and adjusted for contributions from type 2 diabetes and sex. Associations between apolipoproteins and concentrations of LDLc and HDLc were measured by Spearman’s rank correlation analysis. Equilibrium was accessed by exact test based on R package “HardyWeinberg” Raw P values were adjusted by the Benjamini-Hochberg method with a false discovery rate of 5%. A power of 99.98% was obtained using for this study based on 65 patients with paired design, 5% significance, and an estimated effect size of 0.7 for statin in reducing LDL cholesterol All statistical tests and data of atorvastatin and simvastatin but are less affected by APOA5 genotype. These findings support the growing recognition that rosuvastatin is a potentially better treatment option for patients with dyslipidemia and/or at high 214 risk of cardiovascular diseases. In addition, integrated efforts, such as the NIH Pharmacogenetics Research Network (Giacomini et al., 2007), should be encouraged in the era of precision medicine to accelerate pharmacogenetics or pharmacogenomics research. Future studies should also consider stratifying populations by genetic background and by statin type.
Leadership styles and entrepreneurship orientations in Turkish construction industry

Abstract Architects who play serious role during construction process, can run their own business. When architects maintain their activities as small-medium enterprises (SMEs), they are the owner of that firm and lead the organizations. Therefore, they are both entrepreneur and leader of their foundation. Effective leadership is necessary for construction projects. As an owner and leader of the organization, a major task of the entrepreneur is to provide effective leadership throughout the life construction process. From the point of this view, defining the leadership styles and entrepreneurship orientations, determining whether the relationship between leadership styles and entrepreneurship orientations or not, identifying the effect of demographic variables on leadership styles and entrepreneurship orientations of architect SMEs at construction industry are aimed. To reach these goals, data are obtained from 50 architect SMEs at construction industry by using Multifactor Leadership Questionnaire (MLQ-5X) and Entrepreneurship scale. As a result, most adopted leadership is individualized consideration and entrepreneurship orientation is proactiveness of architect SMEs. Gender, age and experience at construction industry are significant variables on leadership styles and finally there is statistically significant relationship between leadership styles and entrepreneurship orientation.
Inclusion of nature in self and pro-nature beliefs: utilizing psychological scales in environmental management to Further understand if interconnectedness with nature supports sustainable outcomes – A case study in Tāmaki Makaurau Auckland, Aotearoa New Zealand

ABSTRACT It has been asserted that to overcome nature degradation, environmental managers need to understand the ways in which people view themselves in relation to nature as this influences their beliefs and actions toward nature. To examine this assertion, this study explored how 960 subjects in Tāmaki Makaurau Auckland, Aotearoa New Zealand reported themselves in relation to nature, and whether the way in which they viewed themselves in relation to nature influenced their pro-nature beliefs. Results suggested that most respondents perceive some degree of connectedness with nature despite viewing a distinction between themselves and nature. Results further indicate that respondents who perceived complete interconnectedness with nature were more likely to hold pro-nature beliefs. Conversely, respondents who perceived complete separation between self and nature were less likely to hold pro-nature beliefs. The findings suggest that positive environmental management outcomes may be more achievable if environmental managers focus on increasing individuals’ feelings of interconnectedness with nature to prompt and/or enhance pro-nature beliefs. The study calls attention to the merit of deployment of psychological scales in environmental management contexts, which are currently lacking, to understand the divergent ways in which people relate to nature to contribute to more effective environmental management programmes and policy.
Employee flourishing strategic framework

This paper produces a preliminary version of a strategic framework for managing employee flourishing. ‘Flourishing’, a term from positive psychology, describes the experience of ‘the good life’. Providing this experience benefits employees. It also motivates them to sustain the enterprise that provides it. This positions employee flourishing as a strategy for long-term enterprise performance, a key concern of industrial engineering. The framework incorporates a systems approach and literature from a variety of bodies of knowledge, including organisational behaviour and human resource management. The framework includes a process, tools, and elements that assist enterprises to manage employee flourishing.
Face Mask Detection Based on Machine Learning and Edge Computing

This paper describes research effort aimed at the use of machine learning, Internet of Things, and edge computing for a use case in health, mainly the prevention of the spread of infectious diseases. The main motivation for the research was the Covid-19 pandemic and the need to improve control of the prevention measures implementation. In the study, the experimentation was focused on the use of machine learning to create and utilize prediction models for face mask detection. The prediction model is then evaluated on the various platforms with a focus on the use on various edge devices equipped with a video camera sensor. Different platforms have been tested and evaluated such as standard laptop PC, Raspberry Pi3, and Jetson Nano AI edge platform. Finally, the paper discusses a possible approach to implement a solution that would utilize the face mask detection function and lays out the path for the future research steps.