Miracle-dz/UniFAR-FTUs huggingface dataset:
Why Family Members St(r)ay: Marginalized Family Members’ Commitment to Family

ABSTRACT Societal norms of commitment to family make gaining and maintaining family distance challenging. This study utilizes the investment model (Rusbult, 1980, 1983) to understand family commitment in the context of family member marginalization. A survey of 285 marginalized family members revealed family member marginalization is associated with lower family satisfaction and investment and higher availability of alternative kin relationships. The negative association between perceptions of family member marginalization and family commitment was mediated by family satisfaction and investment. Financial dependence on family, family-blame, self-blame, and intentionality of marginalization moderated the association between family member marginalization and (a) satisfaction and (b) investment. Implications for the investment model and practical implications for supporting marginalized members are discussed.
Attachment Style, Affective Temperament, and Psychological Distress among Mental Health Nurses during the COVID-19 Pandemic

The nursing staff is more likely to experience drastic stress, which can compromise their physical and mental health and affect the quality of their work. This study aimed to assess the attachment type and affective temperament in connection to the psychological effects of the COVID-19 pandemic on psychiatric hospital nurses. We conducted a cross-sectional online survey utilizing a convenience sample population of 100 nurses who served on the front lines during the COVID-19 outbreak. The key findings showed that most nurses reported moderate attachment anxiety, moderate affective temperament, and mild psychological distress. It is crucial to offer nurses psychological support during COVID-19 through various channels.
Plastic-Optical-Fiber-Enabled Smart Glove for Machine-Learning-Based Gesture Recognition

Gesture recognition has always been an important research direction in the field of human–computer interaction. In this article, a wearable gesture recognition system based on a D-shaped plastic optical fiber (POF) curvature sensor is proposed and experimentally studied. A highly bend-sensitive D-shaped POF curvature sensor is made and integrated into a five-channel signal acquisition system on a printed circuit board (8 × 4.5 cm2), which is embedded into an elastic glove to collect fingers’ movement data. A total of 13 gestures and 11 grasping actions are defined, and the gesture data, the grasping action data, and the gesture data mixed with grasping action data are normalized, calibrated, and imported into a support vector machine (SVM) classifier based on the Gaussian kernel function and feedforward neural networks (FNN), respectively. The recognition accuracy based on the SVM for the 13 gestures and 11 grasping actions reaches 99.8% and 97.7%, respectively. The recognition accuracy of 13 kinds of gesture data mixed with 11 kinds of grasping action data based on the Gaussian kernel function in the SVM classification model and FNN is 98.9% and 99.4%, respectively.
Association of Surfactant Protein D Single Nucleotide Polymorphisms rs721917, rs2243639, rs3088308 with Recurrent Aphthous Stomatitis in Pakistani Population

Recurrent aphthous stomatitis (RAS) is a benign ulcerative condition, defined by the recurrent formation of non-contagious mucosal ulcers. Surfactant protein D (SP-D) is secreted frequently at surfaces exposed directly to body fluids. This study aims to investigate the association of SP-D single nucleotide polymorphisms (SNPs) with the onset of RAS. Blood samples from 212 subjects (106 cases/controls each) were collected during 2019 and genotyped for SP-D SNPs (rs721917, rs2243639, rs3088308) by polymerase chain reaction and restriction fragment length polymorphism followed by 12% polyacrylamide gel electrophoresis. Minor aphthous (75.5%) was the commonly observed ulcer type as compared to herpetiform (21.7%) and major aphthous ulcers (2.8%). A family history of RAS was reported in 70% of cases. RAS was found significantly associated with rs3088308 genotypes T/A (95% (Cl): 1.57–5.03, p = 0.0005), A/A (95% (Cl): 1.8–6.7, p = 0.0002), T-allele (95% (Cl): 1.09–2.36, p = 0.01), A-allele (95% (Cl): 1.42–3.91, p = 0.01), rs721917 genotype T/T (95% (Cl): 1.15–25.35, p = 0.03), and T-allele (95% (Cl): 1.28–3.10, p = 0.002). Female gender and obese body mass index (BMI) were significantly associated with rs3088308 genotypes T/A (95% (CI): 1.89–15.7, p = 0.001), T/T (95% (Cl): 1.52–11.9, p = 0.005), A-allele (95% (Cl): 1.65–7.58, p < 0.001), and T-allele (95% (Cl): 1.4–10.1, p <0.001) and rs721917 genotype T/T (95% (CI) = 1.3–33, p = 0.02), respectively. This study describes the association of SP-D SNPs (rs721917, rs3088308) with RAS in the Pakistani population.
A survey of deep learning methods for MRI brain tumor image segmentation

Automatic segmentation of MRI brain tumors based on deep learning can automatically extract more expressive and discriminative brain image features. In view of the application value of deep learning in brain tumor segmentation, this paper systematically reviews the deep learning methods for MRI brain tumor segmentation. Firstly, the research status and significance of brain tumor segmentation methods based on deep learning are analyzed in detail. The deep learning segmentation algorithm performs well, but there are also problems such as the poor ability to capture long-distance dependence and less labeled brain image data. This paper summarizes the principles and advantages of these algorithms and performs some algorithms. Finally, the future of MRI brain tumor segmentation methods is based on deep learning prospects.
Effects of Exercise Intervention (with and without Joint Mobilization) in Patients with Adhesive Capsulitis: A Systematic Review and Meta-Analysis

This review aimed to investigate the effects of exercise and exercise with joint mobilization on shoulder range of motion (ROM) and subjective symptom recovery in patients with adhesive capsulitis (AC). Related Studies published from 2000 to 2021 that were peer-reviewed and for which pre-and post-values could be calculated were extracted from PubMed, CINAHL, SPORTDiscus, and Web of Science. Nine studies met our inclusion criteria. As a result of calculating the standard mean difference (SMD) and 95% confidence intervals (CI), both exercise and exercise with joint mobilization showed a large effect on shoulder ROM and subjective outcomes. The combination showed a more significant effect than exercise alone on shoulder flexion (SMD = −1.59 [−2.34, −0.65]), extension (SMD = −1.47 [−2.05, −0.89]), internal rotation (SMD = −1.77 [−2.17, −1.36], external rotation (SMD = −2.18 [−2.92, −1.44]), and abduction ROM (SMD = −1.99 [CI −3.86, −0.12]). Patients who performed exercise alone showed a higher effect of improvement in subjective function (SMD = 3.15 [2.06, 4.24]) and pain (SMD = 4.13 [1.86, 6.41]). Based on these results, an AC rehabilitation exercise program should be developed by adjusting the amount of exercise and joint mobilization by identifying the patient’s needs, subjective symptoms, and ROM.
Identification of Abnormal Data for Synchronous Monitoring of Transformer DC Bias Based on Multiple Criteria

Seriously abnormal data exist in the synchronous monitoring data of transformer DC bias, which causes serious data feature contamination and even affects the identification of transformer DC bias. For this reason, this paper aims to ensure the reliability and validity of synchronous monitoring data. This paper proposes an identification of abnormal data for the synchronous monitoring of transformer DC bias based on multiple criteria. By analyzing the abnormal data of different types, the characteristics of abnormal data are obtained. Based on this, the abnormal data identification indexes are introduced, including gradient, sliding kurtosis and Pearson correlation coefficient. Firstly, the Pauta criterion is used to determine the threshold of the gradient index. Then, gradient is used to identify the suspected abnormal data. Finally, the sliding kurtosis and Pearson correlation coefficient are used to identify the abnormal data. Data for synchronous monitoring of transformer DC bias in a certain power grid are used to verify the proposed method. The results show that the accuracy of the proposed method in identifying mutated abnormal data and zero-value abnormal data is claimed to be 100%. Compared with traditional abnormal data identification methods, the accuracy of the proposed method is significantly improved.
Rtf1 Transcriptionally Regulates Neonatal and Adult Cardiomyocyte Biology

The PAF1 complex component Rtf1 is an RNA Polymerase II-interacting transcription regulatory protein that promotes transcription elongation and the co-transcriptional monoubiquitination of histone 2B. Rtf1 plays an essential role in the specification of cardiac progenitors from the lateral plate mesoderm during early embryogenesis, but its requirement in mature cardiac cells is unknown. Here, we investigate the importance of Rtf1 in neonatal and adult cardiomyocytes using knockdown and knockout approaches. We demonstrate that loss of Rtf1 activity in neonatal cardiomyocytes disrupts cell morphology and results in a breakdown of sarcomeres. Similarly, Rtf1 ablation in mature cardiomyocytes of the adult mouse heart leads to myofibril disorganization, disrupted cell–cell junctions, fibrosis, and systolic dysfunction. Rtf1 knockout hearts eventually fail and exhibit structural and gene expression defects resembling dilated cardiomyopathy. Intriguingly, we observed that loss of Rtf1 activity causes a rapid change in the expression of key cardiac structural and functional genes in both neonatal and adult cardiomyocytes, suggesting that Rtf1 is continuously required to support expression of the cardiac gene program.
Docosahexaenoic Acid Promotes Cd Excretion by Restoring the Abundance of Parabacteroides in Cd-Exposed Mice

As a common harmful pollutant, cadmium (Cd) can easily enter the human body through the food chain, posing a major threat to human health. Gut microbiota play a key role in Cd absorption. Docosahexaenoic acid (DHA) is thought to have a potential role in the treatment of Cd poisoning. This study investigated the therapeutic effect and mechanism of DHA in Cd-exposed mice from the perspective of the gut microbiota. The results showed that DHA significantly increased the Cd content in feces and decreased the Cd accumulation in the organs of mice. The gut microbiota results showed that DHA significantly restored the abundance of Parabacteroides in the gut microbiota of Cd-exposed mice. Parabacteroides distasonis (P. distasonis), a representative strain of the Parabacteroides, also showed Cd- and toxicity-reduction capabilities. P. distasonis significantly restored the gut damage caused by Cd exposure. At the same time, P. distasonis reduced the Cd content in the liver, spleen, lung, kidneys, gut, and blood to varying degrees and significantly increased the Cd content in feces. The succinic acid produced by P. distasonis plays an important role in promoting Cd excretion in Cd-exposed mice. Therefore, these results suggest that P. distasonis may have a potential role in DHA-mediated Cd excretion in Cd-exposed mice.
Subsequence-Wise Approach for Online Tracking

This chapter is concerned with online object tracking, which aims to locate a given object in each of the consecutive frames. Many algorithms have been proposed to deal with this problem. Most make a decision in each frame, failing to consider the inner relationship among these decisions. However, the relation among these decisions is important if they can be fused together. Intuitively, human beings do not make a decision in a single frame and always explore the temporal information contained in neighboring frames, and then make decisions for all these neighboring frames. This chapter proposes a novel framework, which views the tracking as a sequence of decisions, with each subsequence of decisions corresponding to a subsequence of the video. Such an approach is described as a subsequence-wise approach. This framework considers the relation among the states in different frames, and it is ready to be incorporated into many related tracking techniques.
Role of Ureteroscopy (URS) and Stone Treatment in Patients with Recurrent UTIs: Outcomes over a 10-Year Period

Background. The study aimed to assess whether the eradication of kidney stones might result in a substantial reduction in the onset of recurrent UTIs. Methods. We selected all the patients who underwent ureteroscopy (URS) for stone disease between 2012 and 2021, with either a history of recurrent UTIs (rUTIs), urosepsis or pre-operative positive urine culture (UC). Data included patient demographics, microbiological data, stone parameters, stone-free and infection-free rates (SFR and IFR, respectively) at follow-up, defined as fragments <2 mm at imaging and the absence of symptoms and urine-culture-proven UTI. Results. Overall, 178 patients were selected. The median age was 62 years. The median cumulative stone size was 10 mm (7–17.25), and the commonest locations were the lower pole (18.9%) and proximal ureter (14.9%). The overall stone-free rate at follow-up was 89.3%. The IFR at 3 months was 88.3%. As follow-up duration increased, the IFR reduced to 85.4%, 74.2%, 68% and 65% at 6, 12, 18 and 24 months, respectively. Patients who had infection recurrence were more likely to present stone persistence or recurrence compared to those who were infection-free at follow-up (20% vs. 4.4%, p = 0.005). Conclusions. SFR after URS is a significant predicting variable for the likelihood of infection-free status at follow-up in patients with an rUTI or positive UC at the time of URS.
Restoring the Mesopotamian Rivers for Future Generations: A Practical Approach

It is not an understatement to say that a thriving and healthy river system for the Mesopotamian region means a thriving economy for all with a productive agriculture and a sustainable manufacturing base that needs reliable water supply and cheap power. When looked at from a 30,000 feet from the ground, the Mesopotamian region began experiencing a steady decline in the health of its rivers from the 1980s with a series of unfortunate man‐made events ranging from wars to uncoordinated dam development. While there have been many analyses and historical dissection of the current water situation, one question that we all need to ask now is How can we restore the Mesopotamian rivers?
Radiation Detection and Heavy Metals Measurements in Powdered Blood Sample of Leukemia Patients

This research examines the measurements of radiation detection and heavy metals in blood samples of leukemia and health groups using CR-39 nuclear track detectors and X-ray fluorescence. The results show that the minimum and maximum values of uranium contents found in leukemia blood samples of male (18 years) and female (55 years) patients, respectively. The concentration of heavy metals (Pb, Cd, and Ni) and radium contents is higher in leukemia blood samples, as compared with their concentration in healthy blood samples.
Outcomes of Duct-to-Mucosa vs. Invagination Pancreatojejunostomy: Toward a Personalized Approach for Distal Pancreatic Stump Anastomosis in Central Pancreatectomy?

(1) Background: The jejunum is primarily used for distal pancreatic stump anastomoses after central pancreatectomy (CP). The study aimed to compare duct-to-mucosa (WJ) and distal pancreatic invagination into jejunum anastomoses (PJ) after CP. (2) Methods: All patients with CP and jejunal anastomoses (between 1 January 2002 and 31 December 2022) were retrospectively assessed and compared. (3) Results: 29 CP were analyzed: WJ—12 patients (41.4%) and PJ—17 patients (58.6%). The operative time was significantly higher in the WJ vs. PJ group of patients (195 min vs. 140 min, p = 0.012). Statistically higher rates of patients within the high-risk fistula group were observed in the PJ vs. WJ group (52.9% vs. 0%, p = 0.003). However, no differences were observed between the groups regarding the overall, severe, and specific postpancreatectomy morbidity rates (p values ≥ 0.170). (4) Conclusions: The WJ and PJ anastomoses after CP were comparable in terms of morbidity rates. However, a PJ anastomosis appeared to fit better for patients with high-risk fistula scores. Thus, a personalized, patient-adapted technique for the distal pancreatic stump anastomosis with the jejunum after CP should be considered. At the same time, future research should explore gastric anastomoses’ emerging role.
A Brief History of Stereotactic Atlases: Their Evolution and Importance in Stereotactic Neurosurgery

Following the recent acquisition of unprecedented anatomical details through state-of-the-art neuroimaging, stereotactic procedures such as microelectrode recording (MER) or deep brain stimulation (DBS) can now rely on direct and accurately individualized topographic targeting. Nevertheless, both modern brain atlases derived from appropriate histological techniques involving post-mortem studies of human brain tissue and the methods based on neuroimaging and functional information represent a valuable tool to avoid targeting errors due to imaging artifacts or insufficient anatomical details. Hence, they have thus far been considered a reference guide for functional neurosurgical procedures by neuroscientists and neurosurgeons. In fact, brain atlases, ranging from the ones based on histology and histochemistry to the probabilistic ones grounded on data derived from large clinical databases, are the result of a long and inspiring journey made possible thanks to genial intuitions of great minds in the field of neurosurgery and to the technical advancement of neuroimaging and computational science. The aim of this text is to review the principal characteristics highlighting the milestones of their evolution.
Prediction of the Physical Activity Level of Community-Dwelling Older Japanese Adults with a Triaxial Accelerometer Containing a Classification Algorithm for Ambulatory and Non-Ambulatory Activities

Accurate methods for the prediction of the total energy expenditure and physical activity level (PAL) in community-dwelling older adults have not been established. Therefore, we examined the validity of estimating the PAL using an activity monitor (Active style Pro HJA-350IT, [ASP]) and proposed correction formulae for such populations in Japan. Data for 69 Japanese community-dwelling adults aged 65 to 85 years were used. The total energy expenditure in free-living conditions was measured with the doubly labeled water method and the measured basal metabolic rate. The PAL was also estimated from metabolic equivalent (MET) values obtained with the activity monitor. Adjusted MET values were also calculated with the regression equation of Nagayoshi et al. (2019). The observed PAL was underestimated, but significantly correlated, with the PAL from the ASP. When adjusted using the Nagayoshi et al. regression equation, the PAL was overestimated. Therefore, we developed regression equations to estimate the actual PAL (Y) from the PAL obtained with the ASP for young adults (X) as follows: women: Y = 0.949 × X + 0.205, mean ± standard deviation of the prediction error = 0.00 ± 0.20; men: Y = 0.899 × X + 0.371, mean ± standard deviation of the prediction error = 0.00 ± 0.17.
Clinical and Epidemiological Characteristics of Neurocryptococcosis Associated with HIV in Northeastern Brazil

Cryptococcal meningitis is a serious infection of the central nervous system that is predominant in developing countries, caused by fungi of the genus Cryptococcus, and which affects immunosuppressed patients, especially those with HIV. Here, we aim to diagnose and characterize the clinical–epidemiological profile of cryptococcosis in patients admitted to two tertiary public hospitals in northeastern Brazil. The study is divided into three moments: (1) the isolation of fungus and diagnosis from biological samples collected between 2017 and 2019, (2) a description of the clinical and epidemiological characteristics of the patients, and (3) the experimental tests related to an in vitro susceptibility antifungal profile. The species were identified by MALDI-TOF/MS. Among the 100 patients evaluated, 24 (24.5%) were diagnosed with cryptococcosis based on positive culture. Clinical–epidemiological analysis showed a slightly higher prevalence in men between 30 and 39 years. When comparing the date of HIV diagnosis and the development of cryptococcosis, it was observed that 50% received the diagnosis of infection by cryptococcosis after or equal to a period of 12 months from being diagnosed with HIV; the other 50% received it within the first 30 days of the HIV diagnosis. Neurocryptococcosis was the most prevalent clinical form, and, at the time of hospital admission, the most common clinical signs were high fever (75%), intense headache (62.50%), and neck stiffness (33.33%). The cerebrospinal fluid showed 100% sensitivity and positivity for direct examination by India ink, and fungal culture. The mortality rate in this study was 46% (11/24), a lower rate than in the other literature. An antifungigram showed that 20 (83.33%) isolates were susceptible to amphotericin B and 15 (62.5%) to fluconazole. Mass spectrometry identified 100% of the isolates as Cryptococcus neoformans. In Brazil, this infection is not mandatory notifiable. Therefore, although there is little information on the subject, it is obsolete and does not express the reality of the facts, mainly in the northeast region, where this information is insufficient. The data obtained in this research contribute to the epidemiological knowledge of this mycosis in Brazil and will serve as a basis for future globally comparative epidemiological studies.
GEMVS: a novel approach for automatic 3D reconstruction from uncalibrated multi-view Google Earth images using multi-view stereo and projective to metric 3D homography transformation

ABSTRACT This paper proposes a novel approach for automatic 3D surface reconstruction from uncalibrated and multi-view Google Earth images by using a multi-view stereo method and 3D projective to metric transformation. Without the Rational Polynomial Coefficients, it is impossible to obtain the metric reconstruction of the 3D surface from multi-view satellite images. We solve the uncalibrated multi-view satellite image problem by employing a multi-view stereo vision technique followed by a projective to metric transformation. The virtual pose parameters of the satellite images are obtained by using COLMAP, and the virtual 3D projective reconstruction is done by using EnSoft3D. For projective to metric transformation, we propose to employ 3D homography transformation. Eight 3D correspondence pairs on the viewing frustums between the virtual reference camera and the ideal nadir camera are used to derive a 3D homography matrix. Using the 3D homography matrix, we finally obtain the metric reconstruction of 3D surface up to an unknown height scale in a reference coordinate system of the Google Earth desktop software. Experiments are done in several world locations on Google Earth including building and vegetation areas. Reconstruction error analysis with the Data Fusion Contest 19 dataset is also presented. The average of MAE and RMSE of five tile regions in the dataset are 1.596 m and 2.083 m, respectively.