Miracle-dz/UniFAR-FTUs huggingface dataset:
Hip fracture outcomes in elderly individuals

Hip fractures are commonly occurring events with potentially devastating effects. Death, institutionalization, and decline in function are the major potential adverse outcomes following hip fractures. The 2806 participants in the Established Populations for Epidemiologic Studies in the Elderly (EPESE) program, a prospective communitybased study of elderly men and women in New Haven, Connecticut, were monitored to determine the frequency of occurrence of hip fractures and their consequences: death, institutionalization, and alteration in function. Extensive information was collected before the fracture on physical and mental function, social support, and demographic features. Medical charts were reviewed and follow-up contacts were made to determine the occurrence of adverse outcomes. Of the 2806 subjects, 120 sustained a hip fracture in six years. Of these 120, 22 (18,3%) died within six months of the event and 31 (25.8%) were in a nursing home at six months. Of the survivors at six months, only 6% had returned to their baseline function as measured on a 10 point scale including the following items: eating, bathing, dressing, toileting, grooming, transferring, walking across a room, doing heavy housework, climbing stairs, and walking one half mile (15% returned to baseline if mechanical assistance was allowed to perform these activities). The baseline factors which predicted the occurrence of death were poor mental status, a high number of complications during the hospitalization, male gender, and the site of the fracture. The baseline factors which predicted institutionalization at six months after the fracture were residence in a nursing home at the time of admission and poor mental status. The only baseline factor which predicted functional decline at six months after the fracture was poor mental status. This study was unique in its utilization of a prospectively followed cohort to determine the occurrence of hip fractures and their consequences, as well as the potential baseline factors associated with these consequences. Also, it was the first study to examine all three major potential adverse outcomes and the potential predictors of these outcomes.
Iliotibial Band Length and Patellofemoral Pain Syndrome: Relationship Between Two Measurement Techniques

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An Extremely Shallow Mw4.1 Thrust Earthquake in the Eastern Sichuan Basin (China) Likely Triggered by Unloading During Infrastructure Construction

Triggered or induced earthquakes have been widely reported as resulting from various human activities, yet seismicity triggered by small‐scale infrastructure construction is rare. Here, we report on an investigation of an extremely shallow Mw4.1 earthquake which occurred on 11 August 2016 in the Sichuan Basin (China), a region with historically low seismicity. Our seismic waveform analyses indicate an almost pure thrust focal mechanism at a centroid depth of ~1 km. Furthermore, 18 Sentinel‐1 synthetic aperture radar interferograms, stacked to obtain subcentimeter accuracy, reveal up to 3 cm line‐of‐sight deformation which overlaps with an automotive testing site constructed in 2014. Removal of 10 m of a surface rock layer during the construction may have produced an unloading effect and resulted in up to 0.11 MPa Coulomb stress changes on a blind fault, larger than the 0.01 MPa threshold typically invoked in studies of tectonic earthquakes. However, the delayed triggering still requires further investigation.
The Documentation of Family Violence in Healthcare and the Associations of Violence on Well-Being

Intimate partner violence (IPV) is a serious health problem worldwide but is often not identified by health services. The aim of this study was to describe the characteristics of healthcare patients and documentation compared to the baseline study (2008– 2012). The sample (N = 798) consisted of visits to a central hospital in Finland that had been marked with the ICD-10 codes for assault (X85–Y09) and physical abuse (T74.1) during the years 2013–2017. The data was analyzed with content analysis. Among the IPV visits (n = 110), partneror spouse-related perpetrator coding was poor (11%). Victims experienced multiple injuries, and the violence increased with female gender, alcohol, and nighttime. The insufficient use of perpetrator codes underestimates the incidence of IPV and minimizes their usefulness for surveillance.
Diagnostic performance of ultrasound for rotator cuff tears: a systematic review and meta-analysis.

AIM Rotator cuff (RC) tears are considered to be the main reason for shoulder pain. Although ultrasound is a useful method to detect it, its effectiveness when diagnosing RC tears has been a heated discussion. Therefore, we aimed at evaluating RC tears' ultrasound accuracy by conducting a systemically review and pooled comprehensive analysis. MATERIALS AND METHODS Relevant articles up to May 2018 were searched from the Cochrane Library, Embase, and Pubmed databases. Either arthroscopy or magnetic resonance imaging (MRI) was considered as a reference standard. The results were estimated by pooled-sensitivity (P-SEN), pooled-specificity (P-SPE), pooled-diagnostic odds ratio (P-DOR), pooled-likelihood ratio+ (PLR+), pooled-likelihood ratio- (P-LR-), and the area under the summary receiver operating characteristic (SROC). RESULT We selected seven prospective studies in accordance with the inclusion criteria that covered 554 rotator cuff tears in 868 patients. The P-SEN, P-SPE, P-LR+, P-LR-, P-DOR, area under the SROC curve of diagnostic performance of ultrasound for RC and post-test probability were 95% (95% CI: 88 - 98), 72% (95% CI: 61 - 81), 3.41 (95% CI: 2.40 - 4.84), 0.08 (95% CI: 0.03 - 0.16), 45.31 (95% CI: 21.04 - 97.59), 89% (95% CI: 0.86 - 0.91), and 46% and 2%, respectively. CONCLUSION Our metaanalysis demonstrates that ultrasound has a high efficiency for RC tears' diagnosis. It can be a promising method in patients with suspected RC tears because of its high sensitivity, specificity and diagnostic accuracy.
Duplex ultrasound in upper and lower limb deep venous thrombosis

Duplex ultrasound involves B-mode and Doppler ultrasound. Duplex ultrasonography is a radiological examination requested by clinicians in patients with symptoms of deep venous thrombosis such as upper or lower limb swelling, pain and tenderness. Deep venous thrombosis is a pathology in which clot formation causes obstruction of blood flow.
Adult experts’ perceptions of telemental health for youth: A Delphi study

Abstract Objectives Our objectives were to measure experts’ opinions and develop consensus via the Delphi process on the barriers, applications, and concerns associated with telemental health (TMH) for youth. Materials and methods We delivered 3 online surveys over 2 months in Summer, 2016–2025 adult experts, including adults who experienced youth depression or suicidality, parents of youth with lived experience, and professionals (ie youth mental health researchers, clinicians/staff, or educators). We used the Delphi method to construct Likert and open-ended questions, developing expert consensus over 3 iterative surveys on the barriers and benefits of TMH for youth. Results Adult experts identified stigma and knowledge barriers to youth mental health care. Although TMH is perceived as beneficial for screening, education, follow-up, and emotional support, no single delivery method (eg websites or instant messaging) was deemed universally beneficial. Discussion Adults are the developers, administrators, and gatekeepers of youth mental health care. Although adult experts see potential for TMH to supplement traditional therapy via familiar technologies, there is no consensus on the technologies by which TMH should be delivered. However, there is consensus that family members and friends provide potential pathways to care; thus, an online TMH toolkit for youth would be beneficial for both caretakers and practitioners. Conclusion Telemental health may not overcome barriers for crisis management but adult experts agreed that TMH had potential benefits for youth. Health care organizations should conduct research and provide training and education to youth caretakers and practitioners on potential barriers and benefits of TMH technologies for youth.
The development of a New Process for Phosphate Thickening

In phosphate beneficiation process, thickening is used to concentrate the slurry or sludge in order to increase its solid content and recover the maximum of water. The addition of flocculants helps to form larger particles that can thicken out quickly. However, the high consumption of flocculant in the thickeners increases the cost of the operation. The purpose of this research is to study the effect of flocculant on sedimentation velocities of different particles size in order to develop a new thickening process which ensure the maximum thickening rate and a minimum flocculant consumption. To achieve this goal, initially the impact of flocculant on different size fraction was studied. The objective of this step is to define the cut-size from which the flocculant has no considerable effect on thickening. This granulometric slice can decant by a simple free sedimentation without needing the flocculant. After that, a hydrocyclone was dimensioned and modeled in order to eliminate this granulometric slice which will undergo free sedimentation. This allowed to design a new thickening technology that targets only fine particles overflow of the hydro-cyclone and that require the addition of flocculant. This technology will significantly reduce the flocculant consumption and ensure a better water recovery in the thickening process.
Design of a highly selective radiative cooling structure accelerated by materials informatics

Materials informatics is a data-driven approach that integrates material property simulation/experiment with an informatics algorithm to accelerate materials design. In this work, we report the optimization design of thermal photonic structures for radiative cooling applications by a method combining the rigorous coupled wave analysis and Bayesian optimization. The structure with optimal thermal radiative property can be obtained by calculating only less than 1% of total candidate structures. The present work is, to the best of our knowledge, the first trial using Bayesian optimization for radiative cooling device design that successfully tailored the thermal emittance falling selectively within the atmospheric window by hybrid grating and multilayer structures.
Experimental Investigation of the Ground Effect of WIG Craft—NEW1 Model

Navy Experimental Wing-in-Ground-Effect (WIG) craft namely as NEW1, is the first version of 2-seated WIG craft which has been designed and developed by Royal Thai Navy since 2017. This experimental research is a part of the NEW1 project which aims to investigate the aerodynamic characteristics and aspects of the flow passing through the WIG craft model when in ground effect. In the experiment, the WIG craft—NEW1 of 1:15 scale model is tested in a close circuit wind tunnel of 1 m × 1 m test section at Kasetsart University. The tests are conducted at the free stream velocity of 40 m/s or Reynolds number of 280,000, at angles of attack ranging from −9° to 21°, and at the wing to ground distances ranging from 5.0 C to 0.3 C. The measurement of 6-DoF of forces and moments and pressure distributions on the ground surface underneath the WIG craft model are made during the tests. The results show that the ground has significant effects on the aerodynamic characteristics of the WIG craft model when the wing to ground distance is less than its mean chord. It was found that when the model move from 5.0 C (out of ground effect) to 0.3 C, the lift coefficient increases up to 15.7%, the drag coefficient decreases up to 5.6%, and the lift to drag ratio increases 33.4%. The proximity of the model to the ground also affects the longitudinal stability of the model. The moment coefficient curves against angle of attack has negative slope for both in and out of ground effect indicating favorable longitudinal stability. However, it was found that the aerodynamic center move further aft toward the trailing edge when the model move closer to the ground.
Self-organization in 1 atm DC glows with liquid anodes: current understanding and potential applications

Self-organization refers to the spontaneous generation of spatially or temporally organized patterns in an otherwise disordered system. Self-organization is ubiquitous in plasma physics particularly in the low-pressure regime as observed in astrophysical jets or plasma loaded flux loops that form on the surface of the Sun. In recent times, self-organization in atmospheric pressure plasmas has captured the attention of researchers. Its occurrence has been observed in DBD discharges as well as DC 1 atm glows with liquid electrodes. The mechanism of pattern formation is still not well understood. Here we briefly review the current understanding of pattern formation in DC glows with liquid anode, surveying past work, application areas, theories on mechanisms of formation from the context of reaction diffusion systems, current experimental work and computational progress towards predicting pattern formation.
Convolutional neural network MRI segmentation for fast and robust optimization of transcranial electrical current stimulation of the human brain

The segmentation of structural MRI data is an essential step for deriving geometrical information about brain tissues. One important application is in transcranial direct current stimulation (e.g., tDCS), a non-invasive neuromodulatory technique where head modeling is required to determine the electric field (E-field) generated in the cortex to predict and optimize its effects. Here we propose a deep learning-based model (StarNEt) to automatize white matter (WM) and gray matter (GM) segmentation and compare its performance with FreeSurfer, an established tool. Since good definition of sulci and gyri in the cortical surface is an important requirement for E-field calculation, StarNEt is specifically designed to output masks at a higher resolution than that of the original input T1w-MRI. StarNEt uses a residual network as the encoder (ResNet) and a fully convolutional neural network with U-net skip connections as the decoder to segment an MRI slice by slice. Slice vertical location is provided as an extra input. The model was trained on scans from 425 patients in the open-access ADNI+IXI datasets, and using FreeSurfer segmentation as ground truth. Model performance was evaluated using the Dice Coefficient (DC) in a separate subset (N=105) of ADNI+IXI and in two extra testing sets not involved in training. In addition, FreeSurfer and StarNEt were compared to manual segmentations of the MRBrainS18 dataset, also unseen by the model. To study performance in real use cases, first, we created electrical head models derived from the FreeSurfer and StarNEt segmentations and used them for montage optimization with a common target region using a standard algorithm (Stimweaver) and second, we used StarNEt to successfully segment the brains of minimally conscious state (MCS) patients having suffered from brain trauma, a scenario where FreeSurfer typically fails. Our results indicate that StarNEt matches FreeSurfer performance on the trained tasks while reducing computation time from several hours to a few seconds, and with the potential to evolve into an effective technique even when patients present large brain abnormalities.
Targeted Interventions in High School: Preparing Students for College

This study adds to the currently limited evidence base on the efficacy of interventions targeting non-college-ready high school students by examining the impact of Kentucky’s Targeted Interventions (TI) program. We focus on interventions that students received under TI in the senior year of high school based on their 11th grade ACT test scores. Using difference-in-regression discontinuity and difference-in-difference designs with seven cohorts of 11th grade students, we find that, for an average per-student cost of about $600, TI significantly reduces the likelihood that students enroll in remedial course in both 2and 4-year postsecondary institutions by 5–10 percentage points in math and 3–4 percentage points in English. These effects are similar among students who are eligible for free-or reduced-price lunch, Black and Hispanic students, students with remediation needs in multiple subjects, and students in lower-performing schools. Evidence also shows that TI increases the likelihood that students enroll in and pass college math before the end of the first year by four percentage points in 4-year universities. However, little evidence exists for TI affecting credit accumulation or persistence.
Coal Mining Listed Companies and Their Value: Evidence from Indonesia Stock Exchange

Trend of fluctuating stock price and returns can influence investment decisions, so valuations are needed to minimize investment risk. This research aimed to assess the fair value of stock price at Coal Mining Companies listed in IDX 2018. Using Discounted Cash Flow Methods with Free Cash Flow to the Firm approach and to validate the result using relative valuation methods with PER and PBV approach. The sample of this research are ADRO, BYAN, and PTBA which are the big three coal mining company. The research data were derived from historical data years 2013 – 2017 which considered as the reference for the projection years 2018-2022 involving three scenarios namely pessimistic, moderate and optimistic scenario and the value of the research compared within market price on January 2, 2018. Findings from this research showed that using DCF-FCFF method fair value of ADRO, BYAN, and PTBA has undervalued in all scenario. Furthermore, in relative valuation method within PER and PBV approach showed PER and PBV of all sample this research is within the industry range that means a result of the calculation is proper. The conclusion of this research is to recommend buying ADRO, BYAN and PTBA shares.
Investigating disciplinary context effect on student scientific inquiry competence

ABSTRACT Using many-facets Rasch measurement, this study aimed to detect and measure disciplinary context effects on student hands-on performance in terms of scientific inquiry competence. In Shanghai, China, a total of 251 eighth graders, from five junior high schools, participated in this study. The partial credit Rasch model was applied to help establish evidence of the validity and reliability of the hand-on based performance instrument measures. The findings indicate that there are significant disciplinary context effects on student performance in terms of scientific inquiry competence. Some inquiry competences embedded in one disciplinary context could be significantly more difficult (or easier) for participants than in other contexts. This study also reveals that there are significant differences in difficulty measures among inquiry competences. Implications and suggestions for science teaching and assessment are also discussed.
Inflammation in the CNS: advancing the field using intravital imaging

Inflammation of the CNS can have devastating, long-lived, and in some cases fatal consequences for patients. The stimuli that can induce CNS inflammation are diverse, and include infectious agents, autoimmune responses against CNS-expressed antigens, and sterile inflammation following ischemia or traumatic injury. In these conditions, cells of the immune system play central roles in promulgation and resolution of the inflammatory response. However, the immunological mechanisms at work in these diverse responses differ according to the nature of the response. Our understanding of the actions of immune cells in the CNS has been restricted by the difficulty in visualising leukocytes as they undergo recruitment from the cerebral microvasculature and following their entry into the CNS parenchyma. However, advances in in vivo microscopy over the last 10-15 years have overcome many of these difficulties, and studies using these forms of microscopy have revealed a wealth of new information regarding the cellular and molecular mechanisms of CNS inflammation. This Research Topic brings together state of the art reviews examining the use of in vivo imaging in investigating inflammation and leukocyte behaviour in the CNS. Papers in this Research Topic describe how in vivo microscopy has increased our understanding of the actions of immune cells in the inflamed CNS, following various stimuli including autoimmunity, infection and sterile inflammation.
Cell segmentation using deep learning: comparing label and label-free approaches using hyper-labeled image stacks

Deep learning provides an opportunity to automatically segment and extract cellular features from high-throughput microscopy images. Many labeling strategies have been developed for this purpose, ranging from the use of fluorescent markers to label-free approaches. However, differences in the channels available to each respective training dataset make it difficult to directly compare the effectiveness of these strategies across studies. Here we explore training models using subimage stacks composed of channels sampled from larger, ‘hyper-labeled’, image stacks. This allows us to directly compare a variety of labeling strategies and training approaches on identical cells. This approach revealed that fluorescence-based strategies generally provide higher segmentation accuracies but were less accurate than label-free models when labeling was inconsistent. The relative strengths of label and label-free techniques could be combined through the use of merging fluorescence channels and out-of-focus brightfield images. Beyond comparing labeling strategies, using subimage stacks for training was also found to provide a method of simulating a wide range of labeling conditions, increasing the ability of the final model to accommodate a greater range of experimental setups.
Religious Popular: Umrah as Manifestation of Religious Phenomena of Coastal Communities

This study aims to analyze the religious motives of the Umrah pilgrims in coastal communities, whether the Umrah is only as religious accessories or has been able to place it as a substantial religion. This article uses a qualitative method with a phenomenological approach to religious coastal communities, each of which has a different experience and purpose in carrying out Umrah worship. Max Weber's social actions and the intrinsic and extrinsic religious orientation of Gordon Allport and Ross became the theory used to analyze the umrah phenomenon of coastal communities. This article results, that the worshipers have different motives in carrying out worship; first, the reason they chose Umrah as a worship service to Baitullah, was because the Hajj waiting list was very long and was not possible with conditions that were getting older; Second, performing Umrah in the Holy Land as a place of forgiveness of sins for the mistakes that have been made; Third, the Umrah worship conducted by the middle to upper classes is predominantly oriented to intrinsic religion, but some of them have found an extrinsic religious orientation. Whereas in the lower middle class, informants show the intrinsic orientation motives.