Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Culture-Based Religious Humanistic Value Education Model at PTKIN Banda Aceh

: This research aims to find a culture-based model of humanist-religious values education at PTKIN Banda Aceh, to find the development of a culture-based humanist-religious values education model at PTKIN Banda Aceh and to find out the development of positive attitudes in humanist-religious education at PTKIN Banda Aceh. Based on the problem formulation and research objectives, this research seeks to find out, describe and reveal a phenomenon in the development of a culture-based religious humanistic value education model at the Faculty of Tarbiyah and Teacher Training (FTIK) UIN Arraniry Banda Aceh, as well as trying to reveal the facts that led to the implementation of activities whether it goes well or not, so that the phenomenon of the impact or consequences of these activities can be read through this study. This research method is qualitative descriptive research. Qualitative descriptive research is a research method that attempts to describe and interpret objects according to what they are. The source of data collection for this research is observation, interviews and documentation. The results of this research are that lecturers provide a model of respect for students and do not adopt an authoritarian attitude towards students. Authoritarian attitudes can damage humanistic values with an Islamic religious culture, lecturers are proactive in encouraging students at the Faculty of Tarbiyah and Teacher Training (FTIK) UIN Arraniry, in developing models of humanistic value education for students who are currently studying at the Faculty of Tarbiyah and Teacher Training (FTIK). UIN Arraniry and religious culture in higher education are highly recommended to be developed by lecturers and students regarding humanistic values education.
Standardiserad inventering av kornknarr (Crex crex) i Västmanlands och Uppsala län 2006-2007.

Syftet med denna rapport ar att visa vilken sorts habitat kornknarren foredrar att hacka i, och vilken skotsel som ar mest gynnsam for arten. Slutsatserna som dras kan vara en hjalp i arbetet med a .
Hysteresis Behavior of the Atlantic Ocean Circulation Identified in Observational Data

Abstract On the basis of the multidecadal component of a Fram Strait sea ice export reconstruction and on a sea surface temperature proxy for changes in the ocean circulation, a bifurcation diagram for two cycles of the Atlantic Ocean multidecadal oscillation is constructed. It suggests a hysteresis behavior that is consistent with nonlinear convective adjustment to changes in deep-water formation in the North Atlantic and with the meridional overturning circulation bistability associated with two distinct configurations of the North Atlantic subpolar gyre, simulated in response to idealized carbon dioxide increase. The nonlinear dynamics of the Atlantic Ocean circulation emphasized here on the basis of observational data adds to the hysteresis behavior shown in theoretical and numerical studies.
Characterizing the Spatial Distribution of Giant Pandas in China using MODIS Data and Landscape Metrics

Although forest fragmentation has been recognized as one of major threats to wild panda population, little is known about the relationship between panda distribution and forest fragmentation. This study is unique as it presents a fruit attempt at understanding the role of forest fragmentation on panda distribution for the entire wild panda population. A remote sensing based approach was proposed for characterizing the distribution of giant panda habitat using the MODIS EVI time series and landscape metrics. A five-class land cover map was generated from a complete year of uninterrupted MODIS 250m EVI data for 2001 by combining ISODATA and a Neural Net classifier. Fifty-two class-level landscape metrics were calculated (for two forest classes) in FRAGSTAT 3.3 using a 3km×3km moving window; and eight metrics that best captured the variation in forest configuration among landscapes were selected as representative metrics by a landscape metrics reduction procedure. These eight metrics measure three aspects of the forests: patch area/density/edge, patch proximity/connectivity, and patch contagion/interspersion. All representative metrics were significantly different (P < 0.05) between panda presence and absence; and the spatial configurations of the forests among five mountain regions were also heterogeneous. The forest I class occupied by the giant panda in Qinling were less fragmented, while the forests occupied by the giant panda in Xiangling and Liangshan were most fragmented among five regions. Using a forward stepwise logistic regression procedure, four landscape metrics were significant at P < 0.01 and included into the final logistic regression model, i.e. largest patch index, edge density, clumpy index of the forest I class, and mean patch area of the forest II class. These metrics indicate that the giant panda appear sensitive to patch size and isolation effects associated with forest fragmentation, and the forest I plays an important role in distribution of giant pandas. The performance of logistic regression model was significantly improved by applying a knowledgebased control to the modelling (P < 0.05). However, a low R-square value (0.451) of the model indicated that the landscape metrics alone can not effectively explain the distribution of the giant panda. The findings of this study have implications for the design of effective conservation plans for wild panda population limited by forest fragmentation. The presented approach may be applied to routine habitat monitoring and habitat evaluation for the giant panda.
Risk Biomarkers for Biochemical Recurrence after Radical Prostatectomy for Prostate Cancer Using Clinical and MRI-Derived Semantic Features

Simple Summary Multiparametric magnetic resonance imaging (mpMRI) is now standard practice for suspected prostate cancer (PCa) patients, significantly enhancing risk assessment and PCa detection. Integrating MRI into clinical staging allows for more precise, personalized treatment planning in cases of extraprostatic cancer extension. Adverse MRI findings, such as a macroscopic extracapsular extension on MRI (mECE+), capsular disruption, extended tumor capsular contact length (TCCL), Grade Group (GG) ≥ 4, positive surgical margins (PSM), and pECE+ on pathology, were associated with higher biochemical recurrence (BCR) risk. Particularly in low/intermediate-risk patients (pECE− and GG < 4), adverse MRI characteristics correlated with elevated BCR risk. This feature highlights the importance of incorporating predictive MRI features pre-surgery to aid clinical decisions and enhance outcomes in prostate cancer. Adverse MRI features assist in identifying low/intermediate-risk patients needing closer monitoring. Abstract Objectives: This study aimed to assess the impact of the covariates derived from a predictive model for detecting extracapsular extension on pathology (pECE+) on biochemical recurrence-free survival (BCRFS) within 4 years after robotic-assisted radical prostatectomy (RARP). Methods: Retrospective data analysis was conducted from a single center between 2015 and 2022. Variables under consideration included prostate-specific antigen (PSA) levels, patient age, prostate volume, MRI semantic features, and Grade Group (GG). We also assessed the influence of pECE+ and positive surgical margins on BCRFS. To attain these goals, we used the Kaplan–Meier survival function and the multivariable Cox regression model. Additionally, we analyzed the MRI features on BCR (biochemical recurrence) in low/intermediate risk patients. Results: A total of 177 participants with a follow-up exceeding 6 months post-RARP were included. The 1-year, 2-year, and 4-year risks of BCR after radical prostatectomy were 5%, 13%, and 21%, respectively. The non-parametric approach for the survival analysis showed that adverse MRI features such as macroscopic ECE on MRI (mECE+), capsular disruption, high tumor capsular contact length (TCCL), GG ≥ 4, positive surgical margins (PSM), and pECE+ on pathology were risk factors for BCR. In low/intermediate-risk patients (pECE− and GG < 4), the presence of adverse MRI features has been shown to increase the risk of BCR. Conclusions: The study highlights the importance of incorporating predictive MRI features for detecting extracapsular extension pre-surgery in influencing early outcomes and clinical decision making; mECE+, TCCL, capsular disruption, and GG ≥ 4 based on pre-surgical biopsy were independent prognostic factors for early BCR. The presence of adverse features on MRI can assist in identifying low/intermediate-risk patients who will benefit from closer monitoring.
Screen Space Global Illumination with Dynamic Light Probes

Global Illumination (GI) plays a crucial role in rendering realistic results for video game production. Computing indirect illumination is costly due to the complex light transport. Existing real-time GI approaches in video games typically require heavy precomputation that imposes a significant burden on production, and limits the range of lighting conditions achievable at run-time. Recently, raytracing based approaches avoid the expensive precomputation and support dynamic light sources and geometries. However, they are still expensive at run-time. In this paper, we propose a lightweight global illumination computation approach, which is much more efficient than raytracing based approaches. We derive a progressive spherical harmonics projection model to update light probes efficiently at run time by spreading the calculation over multiple frames. We demonstrate screen space global illumination (SSGI) in this framework by updating the probes using radiance samples from the frame buffer. This allows dynamic changes in scene and lighting and progressively accumulate multiple bounces of indirect light. Finally, we demonstrate our method can also be used for direct illumination for area lights or environment maps, via injecting direct light sources into the probes. Compared to existing approaches, our method is suitable for device with low-performance. Since our method inherits the drawbacks of screen space approaches, our method assumes adequate direct illumination in the screens.
Neuropsychological Testing Under the Medical Benefit

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Automatic breast cancer detection from ultrasound images using Dirichlet distribution based deep ensemble transfer learning

: Breast cancer is a common type of cancer among women. Breast ultrasound is a useful and rapid diagnostic tool for early detection of breast cancer. Thanks to expert radiologists and clinicians, suspicious situations can be detected and further examinations can be requested. Computer-aided decision systems used to assist specialist radiologists and clinicians have more reliable and faster results. Deep learning has become a valuable tool in breast cancer detection and diagnosis, and it is being increasingly used in medical imaging analysis. Therefore, in this study, a Dirichlet distribution based deep ensemble learning model using pretrained transfer learning models is proposed for breast cancer classification from ultrasound images. In the study, experiments were carried out with the Breast Ultrasound Images Dataset (Dataset BUSI). First, image preprocessing was performed on the dataset, and then the dataset was balanced with data augmentation. DenseNet121, InceptionV3, MobileNet, and ResNet50 models were used for transfer learning. With these models, repetitive trainings using the weights of the previous training as input were made. The obtained results were fit with Dirichlet distribution based ensemble learning with different variations. A total of 98.17% validation accuracy was achieved on the proposed model dataset. The results show that the proposed model is useful in breast cancer classification.
Carer strain in post-stroke emotionalism: an initial evaluation

ABSTRACT Background and Purpose Post-stroke emotionalism is a common, under-researched neurologic symptom of stroke, characterised by frequent crying episodes not under usual social control. Currently there are no data on carer strain in the context of emotionalism after stroke. Aims To explore the degree of carer strain in carers of individuals with diagnosed PSE compared to carers of individuals with stroke but no PSE. To examine whether carer strain varies with particular characteristics of the cared for individual: patient age, sex, social deprivation, stroke type, functional status, mood status. Methods 102 informants of people with stroke completed the Modified Carer Strain Index at 6-months as part of the TEARS longitudinal cohort study between October 1st 2015 and September 30th 2018. Stroke survivor diagnostic status was determined using Testing Emotionalism After Recent Stroke- Diagnostic Interview based on published, widely accepted diagnostic criteria of emotionalism. Results There was little evidence of association between carer strain and sex, age, deprivation level or stroke type of the cared for individual. There was strong evidence that carer strain associated with both increased functional dependence post-stroke, and presence of post-stroke emotionalism. Conclusions Even after accounting for increased functional dependence, our study data indicates that caring in a PSE context may significantly increase carer strain, comparable to a six-point reduction on Barthel Index.
Childhood adverse life events and skeletal muscle mitochondrial function

Social stress experienced in childhood is associated with adverse health later in life. Mitochondrial function has been implicated as a mechanism for how stressful life events “get under the skin” to influence physical well-being. Using data from the Study of Muscle, Mobility, and Aging (n = 879, 59% women), linear models examined whether adverse childhood events (i.e., physical abuse) were associated with two measures of skeletal muscle mitochondrial energetics in older adults: (i) maximal adenosine triphosphate production (ATPmax) and (ii) maximal state 3 respiration (Max OXPHOS). Forty-five percent of the sample reported experiencing one or more adverse childhood events. After adjustment, each additional event was associated with −0.08 SD (95% confidence interval = −0.13, −0.02) lower ATPmax. No association was observed with Max OXPHOS. Adverse childhood events are associated with lower ATP production in later life. Findings indicate that mitochondrial function may be a mechanism for understanding how early social stress influences health in later life.
Analysis of 245,368 diverse individuals from the NIH All of Us Cohort identifies incomplete penetrance of the VEXAS-defining UBA1 p.M41L somatic mutation

Objective: Somatic mutations in UBA1 cause the recently described systemic auto-inflammatory syndrome, VEXAS. Study of this disease has largely been limited to highly symptomatic patients. We sought to determine the prevalence of VEXAS-associated somatic mutations and their disease penetrance in a diverse, unselected population. Methods: We analyzed clinical-grade whole genome sequencing data from 245,368 individuals in the All of Us Research Program. We compared persons with canonical VEXAS-associated mutations to ten age, sex, and ancestry matched controls across the domains of diagnoses, medications, and laboratory values. Results: 74 persons were identified with a VEXAS-defining somatic mutation at c.121A>C (p.Met41Leu) in UBA1. The variant allele fraction ranged from 4.5% to 33%. No other canonical VEXAS-associated mutations were identified. Of the 74 persons, 62 (84%) were women, 20 (27%) were African American, and 14 (19%) were American Admixed / Latino. There was no statistically significant association between case/control status and any diagnosis code, medication prescription, or laboratory value. Conclusion: We report the largest cohort to date of persons with the VEXAS-associated p.Met41Leu mutation. This cohort differed substantially from reported cohorts of patients with clinical VEXAS, having a higher proportion of persons who were young, female, and of diverse ancestry. Variant allele fractions of p.Met41Leu mutations were lower than reported in clinical VEXAS and none of the patients had bioinformatically apparent VEXAS syndrome. The p.Met41Leu UBA1 variant displayed incomplete penetrance for VEXAS. Further study is needed to determine the natural history of VEXAS-associated mutations in the pre-disease phase.
Lyme rashes disease classification using deep feature fusion technique

Automatic classification of Lyme disease rashes on the skin helps clinicians and dermatologists’ probe and investigate Lyme skin rashes effectively. This paper proposes a new in‐depth features fusion system to classify Lyme disease rashes. The proposed method consists of two main steps. First, three different deep learning models, Densenet201, InceptionV3, and Exception, were trained independently to extract the deep features from the erythema migrans (EM) images. Second, a deep feature fusion mechanism (meta classifier) is developed to integrate the deep features before the final classification output layer. The meta classifier is a basic deep convolutional neural network trained on original images and features extracted from base level three deep learning models. In the feature fusion mechanism, the last three layers of base models are dropped out and connected to the meta classifier. The proposed deep feature fusion method significantly improved the classification process, where the classification accuracy was 98.97%, which is particularly impressive than the other state‐of‐the‐art models.
Absorption and Bioavailability of Novel UltraShear Nanoemulsion of Cannabidiol in Rats

Introduction: Cannabidiol (CBD) has several potential benefits and therapeutic uses, especially in pain, inflammation, and anxiety. CBD has high hydrophobicity and very low solubility in water. CBD has also shown exceptionally low oral-gastrointestinal (oral-GI) bioavailability. In this study, we aimed to examine the oral gastrointestinal absorption and subsequent bioavailability of CBD in a nanoemulsion formulation prepared by Pressure BioSciences’ UltraShearTM technology. Methods: CBD nanoemulsion (2%) was provided by Pressure BioSciences, Inc. (South Easton, MA), and CBD pharmacokinetic parameters were evaluated in male Sprague-Dawley rats using LC-MS/MS technology. Results: Bioavailability of orally delivered CBD UltraShear nanoemulsion was calculated to be 18.6% at 6 h and 25.4% at 24 h. While oral-GI bioavailability is unsurprisingly limited by first-pass metabolism, it is nonetheless notable that CBD bioavailability for oral-GI UltraShear nanoemulsion CBD is roughly 3–4x higher than the typical bioavailability for oral-GI CBD delivered in oil solution or conventional edible formats. Conclusion: This study has provided a compelling demonstration of unprecedented speed and efficiency of oral-GI CBD absorption of CBD UltraShear nanoemulsions, achieving 10% of levels achieved for direct IV injection within 30 min and 80% of IV levels in 24 h. Notably, within just the first hour post-administration, the bioavailability of oral CBD from UltraShear nanoemulsion formulation exceeded the typical 6% total CBD oral bioavailability benchmarks reported for CBD edibles and ultimately achieved 3–4X these levels within 6–24 h.
Tenosynovial giant cell tumours: experience at an Australian tertiary referral centre for musculoskeletal tumours with minimum two-year follow-up

Aims Tenosynovial giant cell tumour (TGCT) is a rare benign tumour of the musculoskeletal system. Surgical management is fraught with challenges due to high recurrence rates. The aim of this study was to describe surgical treatment and evaluate surgical outcomes of TGCT at an Australian tertiary referral centre for musculoskeletal tumours and to identify factors affecting recurrence rates. Methods A prospective database of all patients with TGCT surgically managed by two orthopaedic oncology surgeons was reviewed. All cases irrespective of previous treatment were included and patients without follow-up were excluded. Pertinent tumour characteristics and surgical outcomes were collected for analysis. Results There were 111 total cases included in the study; 71 (64%) were female, the mean age was 36 years (SD 13.6), and the knee (n = 64; 57.7%) was the most commonly affected joint. In all, 60 patients (54.1%) had diffuse-type (D-TGCT) disease, and 94 patients (84.7%) presented therapy-naïve as "primary cases" (PC). The overall recurrence rate was 46.8% for TGCT. There was a statistically significant difference in recurrence rates between D-TGCT and localized disease (75.0% vs 13.7%, relative risk (RR) 3.40, 95% confidence interval (CI) 2.17 to 5.34; p < 0.001), and for those who were referred in the ”revision cases” (RC) group compared to the PC group (82.4% vs 48.9%, RR 1.68, 95% CI 1.24 to 2.28; p = 0.011). Age, sex, tumour volume, and mean duration of symptoms were not associated with recurrence (p > 0.05). Conclusion Recurrence rates remain high even at a tertiary referral hospital. Highest rates are seen in D-TGCT and “revision cases”. Due to the risks of recurrence, the complexity of surgery, and the need for adjuvant therapy, this paper further supports the management of TGCT in a tertiary referral multi-disciplinary orthopaedic oncology service. Cite this article: Bone Jt Open 2023;4(11):846–852.
Why do most young women not take up contraceptives after post-abortion care? An ethnographic study on the effectiveness and quality of contraceptive counselling after PAC in Kilifi County, Kenya

Abstract Post-abortion care (PAC) counselling and the provision of contraceptive methods are core components of PAC services. Nevertheless, this service is not uniformly provided to PAC patients. This paper explores the factors contributing to young women leaving health facilities without counselling and contraceptive methods. The paper draws from an ethnographic study conducted in Kilifi County, Kenya, in 2021. We conducted participant observation in health facilities and neighbouring communities, and held in-depth interviews with 21 young women aged 15–24 who received PAC. In addition, we interviewed 11 healthcare providers recruited from the public and private health facilities observed. Findings revealed that post-abortion contraceptive counselling and methods were not always offered to patients as part of PAC as prescribed in the PAC guidelines. When PAC contraceptive counselling was offered, certain barriers affected uptake of the methods, including inadequate information, coercion by providers and partners, and fears of side effects. Together, these factors contributed to repeat unintended pregnancies and repeat abortions. The absence of quality contraceptive counselling therefore infringes on the right to health of girls and young women. Findings underscore the need to strengthen the capacities of health providers on PAC contraceptive counselling and address their attitudes towards young female PAC patients.