Miracle-dz/UniFAR-FTUs huggingface dataset:
Positive-Unlabeled Learning With Label Distribution Alignment

Positive-Unlabeled (PU) data arise frequently in a wide range of fields such as medical diagnosis, anomaly analysis and personalized advertising. The absence of any known negative labels makes it very challenging to learn binary classifiers from such data. Many state-of-the-art methods reformulate the original classification risk with individual risks over positive and unlabeled data, and explicitly minimize the risk of classifying unlabeled data as negative. This, however, usually leads to classifiers with a bias toward negative predictions, i.e., they tend to recognize most unlabeled data as negative. In this paper, we propose a label distribution alignment formulation for PU learning to alleviate this issue. Specifically, we align the distribution of predicted labels with the ground-truth, which is constant for a given class prior. In this way, the proportion of samples predicted as negative is explicitly controlled from a global perspective, and thus the bias toward negative predictions could be intrinsically eliminated. On top of this, we further introduce the idea of functional margins to enhance the model's discriminability, and derive a margin-based learning framework named Positive-Unlabeled learning with Label Distribution Alignment (PULDA). This framework is also combined with the class prior estimation process for practical scenarios, and theoretically supported by a generalization analysis. Moreover, a stochastic mini-batch optimization algorithm based on the exponential moving average strategy is tailored for this problem with a convergence guarantee. Finally, comprehensive empirical results demonstrate the effectiveness of the proposed method.
Ocean heat content [in State of the Climate 2012]

Storage and transport of heat in the ocean are central to aspects of climate such as ENSO (Roemmich and Gilson 2011), the North Atlantic Oscillation (Curry and McCartney 2001), hurricanes (Mainelli et al. 2008), sea level rise (Johnson and Wijffels 2011), the global energy budget (Church et al. 2011), and constraining global warming scenarios (Knutti and Tomassini 2008).
Hydrus microstent for the treatment of primary open-angle glaucoma: overview of its safety and efficacy

ABSTRACT Introduction Minimally invasive glaucoma surgeries (MIGS) are now a consolidated reality in many surgical units. The Hydrus Microstent is one of several MIGS devices bypassing trabecular outflow and had excellent results over the years. This article aims to review the key features of the Hydrus Microstent in terms of design, efficacy, and safety. Areas covered The present review analyses the main characteristics of the device by evaluating the technical and physical details of its functioning. The evidence that supports a clinical decision summarizes the most influential clinical trials and the most accurate systematic reviews. Expert opinion The Hydrus device has been extensively studied regarding biocompatibility and outflow potential. The subsequent clinical studies have been well-built and proved that the device effectively reduces intraocular pressure (IOP) and the eyedrop load. The device covers almost a quarter of Schlemm’s canal circumference, offering at least two advantages: cannulating the Schlemm’s canal provides evidence that the device has been implanted correctly; covering a larger area potentially allows to target multiple collector channels or at least areas of active outflow. This scaffold may prove more effective in naïve patients or subjects who used antiglaucoma eyedrops for a limited period, as the prolonged use of hypotonic medications has been associated with the surgical failure of ab interno microhook trabeculotomy.
Analisa Faktor-Faktor yang Mempengaruhi Tindakan Manajemen Laba pada Perusahaan Indeks Kompas100 yang Terdaftar di Bursa Efek Indonesia

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang dapat mempengaruhi tindakan manajemen laba pada perusahaan yang termasuk dalam indeks Kompas100. Variabel yang digunakan dalam menganalisis tindakan manajemen laba yaitu earning power, leverage, kepemilikan institusional dan nilai perusahaan. Penelitian ini dilakukan pada perusahaan yang berturut-turut masuk dalam indeks Kompas100 yang terdaftar di Bursa Efek Indonesia untuk periode 2008-2012. Teknik pengambilan sampel dengan menggunakan teknik purposive sampling, sehingga diperoleh sebanyak 27 sampel perusahaan. Metode pengujian data yang digunakan adalah analisis regresi linier berganda. Berdasarkan hasil pengujian data, secara simultan, earning power, leverage, kepemilikan institusional dan nilai perusahaan berpengaruh signifikan terhadap Manajemen Laba. Secara parsial, leverage berpengaruh signifikan negatif terhadap Manajemen Laba, sedangkan earning power, dan nilai perusahaan tidak berpengaruh signifikan terhadap manajemen laba.
Surgical site infection prophylaxis: what have we learned and are we making progress?

Purpose of review This review aims to discuss the current state of surgical antimicrobial prophylaxis (SAP) evidence for surgical site infection prevention. Despite decades of research, knowledge gaps persist in identifying optimal SAP regimens. Recent findings Recent randomised controlled trials highlight ongoing heterogeneity in study design. Key new findings support the use of oral preoperative SAP for colorectal surgery and advise against the use of SAP for transperineal prostate biopsy. There is growing evidence for culture-based SAP over empiric use for transrectal prostate biopsy. Contentious issues remain regarding topical antimicrobials for cardiac procedures involving sternotomy, the necessity of SAP for wire lumpectomy and laparoscopic cholecystectomy for both mild or moderate acute cholecystitis. Procedures where SAP is not indicated, yet research is still being conducted on this topic include dental implants and clean orthopaedic procedures. Summary Research efforts continue with numerous trials published and registered to determine optimal SAP regimens. However, many efforts are suboptimal due to poor statistical design and redundant questions already answered by existing literature. To improve practice and influence surgeons prescribing behaviour future RCTs should be well powered, with large sample sizes across multiple sites, focusing on clinically relevant questions.
Use of centrifugal measurements of wettability to predict oil recovery

Wettability measurements and laboratory waterflood tests were compared under a wide variety of conditions. Experiments were conducted with synthetic and natural crude oils, treated and untreated outcrop and oilfield sandstone cores, and synthetic brines with and without caustic, detergent or phosphate additives. Measurements were made on equilibrated and unequilibrated systems at 77/sup 0/ and 150/sup 0/F. Wettability was evaluated by the U.S. Bureau of Mines method from capillary pressure curves determined with a centrifuge. The waterflood data were fitted by empirical curves; the parameters of the curves characterize primary and subordinate production and also give the ultimate oil recovery. Results showed that wettability measurements at 77/sup 0/F were useful predictors of recovery efficiency in waterflood tests run at both temperatures. Oil recovery in the early stages of waterflooding increased with increasing water wettability. However, the ultimate recovery was highest at a slightly oil-wet condition.
Plasminogen Activator Inhibitor 1 Is a Novel Faecal Biomarker for Monitoring Disease Activity and Therapeutic Response in Inflammatory Bowel Diseases

Abstract Background and Aims Crohn’s disease [CD] and ulcerative colitis [UC] require lifelong treatment and patient monitoring. Current biomarkers have several limitations; therefore, there is an unmet need to identify novel biomarkers in inflammatory bowel disease [IBD]. Previously, the role of plasminogen activator inhibitor 1 [PAI-1] was established in the pathogenesis of IBD and suggested as a potential biomarker. Therefore, we aimed to comprehensively analyse the selectivity of PAI-1 in IBD, its correlation with disease activity, and its potential to predict therapeutic response. Methods Blood, colon biopsy, organoid cultures [OC], and faecal samples were used from active and inactive IBD patients and control subjects. Serpin E1 gene expressions and PAI-1 protein levels and localisation in serum, biopsy, and faecal samples were evaluated by qRT-PCR, ELISA, and immunostaining, respectively. Results The study population comprised 132 IBD patients [56 CD and 76 UC] and 40 non-IBD patients. We demonstrated that the serum, mucosal, and faecal PAI-1 concentrations are elevated in IBD patients, showing clinical and endoscopic activity. In responders [decrease of eMayo ≥3 in UC; or SES-CD 50% in CD], the initial PAI-1 level decreased significantly upon successful therapy. OCs derived from active IBD patients produced higher concentrations of PAI-1 than the controls, suggesting that epithelial cells could be a source of PAI-1. Moreover, faecal PAI-1 selectively increases in active IBD but not in other organic gastrointestinal diseases. Conclusions The serum, mucosal, and faecal PAI-1 concentration correlates with disease activity and therapeutic response in IBD, suggesting that PAI-1 could be used as a novel, non-invasive, disease-specific, faecal biomarker in patient follow-up.
Lipid peroxidation and changes in major antioxidant markers in copper quinolate fungicide-exposed rats

The present study investigated the toxic effects of sub-chronic exposure to copper quinolate (CuQ) fungicide on liver and kidney function. Twenty-four adult male Wistar rats were equally divided into a control group, and three treated groups received, respectively, by oral gavage, three increasing doses of CuQ: 47; 67.1; and 94 mg/kg b.w corresponding, respectively, LD50/100, LD50/70, and LD50/50 daily for 8 weeks. CuQ resulted in a significant increase in the serum enzymatic activity of aspartate aminotransferase (AST), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), and the serum levels of urea, creatinine, uric acid, and malondialdehyde, along with a marked decrease in alanine aminotransferase (ALT) activity, and the contents of total protein and albumin compared to those of the control group. Furthermore, glutathione content and the enzymatic activity of superoxide dismutase (SOD), catalase (CAT), glutathione S-transferase (GST), and glutathione peroxidase (GPx) decreased significantly in a dose-dependent manner with respect to CuQ. The adverse effects of CuO were supported by the histopathological evaluations of liver and kidney tissues. Conclusively, sub-chronic CuQ exposure was shown to induce kidney and liver oxidative damage and dysfunction.
A novel autosomal dominant ERLIN2 variant activates endoplasmic reticulum stress in a Chinese HSP family

Hereditary spastic paraplegia (HSP) has been reported rarely because of a monoallelic variant in ERLIN2. The present study aimed at describing a novel autosomal dominant ERLIN2 pedigree in a Chinese family and exploring the possible mechanism of HSP caused by ERLIN2 variants.
Reappraisal of optimal reconstruction after distal gastrectomy – a study based on the KLASS-07 database

Backgrounds: This study aimed to compare the incidence of bile reflux, quality of life (QoL), and nutritional status among Billroth II (BII), Billroth II with Braun anastomosis (BII-B), and Roux-en-Y (RY) reconstruction after laparoscopic distal gastrectomy (LDG). Materials and methods: We reviewed the prospective data of 397 patients from a multicentre database who underwent LDG for gastric cancer between 2018 and 2020 at 20 tertiary teaching hospitals in Korea. Postoperative endoscopic findings, QoL surveys using the European Organization for Research and Treatment of Cancer questionnaire (C30 and STO22), and nutritional and surgical outcomes were compared among groups. Results: In endoscopic findings, bile reflux was the lowest in the RY group (n=67), followed by the BII-B (n=183) and BII groups (n=147) at 1 year (3.0 vs. 67.8 vs. 84.4%, all P<0.05). The anti-reflux capability of BII-B was statistically better than that of BII, but not as perfect as that of RY. From the perspective of QoL, BII-B was not inferior to RY, but better than BII reconstruction in causing fewer STO22 reflux symptoms at 6 and 12 months. However, only RY caused fewer C30 nausea symptoms than BII at 6 and 12 months, but not BII-B. Nutritional status and morbidities were similar among the three groups, and the operative time did not differ between the BII-B and RY groups. Conclusions: BII-B cannot substitute for RY in preventing bile reflux, shortening the operative time, or reducing morbidities. Regarding short-term QoL, BII-B was sufficient to reduce STO22 reflux symptoms but failed to reduce C30 nausea symptoms postoperatively.
Health and Social Determinants Associated With Delay of Care Among Community-Dwelling Rural Older Adults

Background: Delaying health care has the capacity to increase morbidity and premature mortality among individuals with chronic and acute health conditions, particularly for those living in rural areas. Objective: The objective of this study was to identify social determinants of health that are associated with delay of care (DOC) among older adults residing in rural areas across the inland northwest. Method: We conducted descriptive, bivariate, and regression analyses using data from a needs assessment designed to identify health needs and service delivery gaps among an economically diverse 8-county region. Result: Most respondents (aged 60+ years) were white, female, with health insurance coverage (n = 1226, mean = 71). Overall, 35% experienced DOC. We used logistic regression to determine the influence of age, sex, health conditions, distance from medical facility, income, and perceived quality of neighborhood on DOC. Individuals with younger age (P = .017), more chronic conditions (P < .001), lower income (P < .001), and lower perceived quality of neighborhood (P = .008) were more likely to experience DOC. Conclusion: These findings highlight risk factors associated with DOC, which can inform prevention efforts championed by community-based organizations, health care providers, and policy makers. Future research is needed to investigate compounding long-term effects of DOC, especially among individuals living in rural areas.
Serological Investigation of Persistent Villous Atrophy in Celiac Disease

INTRODUCTION: Persistent villous atrophy (VA) is not uncommon in celiac disease (CeD) while patients take a gluten-free diet (GFD). METHODS: We conducted a retrospective study with 122 serum samples collected from controls and patients with CeD either at the initial diagnosis or at the follow-up during endoscopy. These samples were assigned to 3 groups: nonceliac control, non-VA CeD (Marsh score 0–2), and VA CeD (Marsh score 3a-3c). We established an in-house multiplex assay to identify potential serological biomarkers for VA. We assessed autoantibodies reported to affect the small intestine, including IgA and IgG antibodies against tissue transglutaminase (tTG), interferons, villin, actin, autoimmune enteropathy-related 75 kDa antigen (AIE-75), and tryptophan hydroxylase (TPH)-1, as well as 27 cytokines. The apolipoproteins quantified included apo A1, apo B-100, and apo A4, which were produced predominantly by the intestinal epithelium or expressed specifically in villi. RESULTS: Autoantibody levels were high only for tTG antibodies, which performed well in initial CeD diagnosis, but suboptimally for VA prediction during follow-up, because 14.6% of the follow-up patients with VA had low tTG-IgA. Increasing dilution improved tTG-IgA quantification, particularly when the antibody levels were extremely high but did not significantly improve VA detection. Among those with low tTG-IgA and persistent VA, high proinflammatory cytokines were observed in 2 patients. Median low-density lipoprotein cholesterol levels were significantly lower in the VA CeD group (P = 0.03). Apolipoprotein levels were similar in patients with and without VA but diverged between those on a GFD or not. DISCUSSION: tTG-IgA as a biomarker is suboptimal for VA prediction while on a GFD. Persistent VA is associated with low low-density lipoprotein cholesterol levels and partially related to persistent high proinflammatory cytokines.
Dimensional profiling of psychopathology in children and adolescents based on the K-SADS-PL and an analysis of the construct validity of two ADHD symptom dimensions

Abstract Objectives The traditional view on psychiatric disorders as categorical and distinct is being challenged by perspectives emphasizing the relevance of dimensional and transdiagnostic assessment. However, most diagnostic instruments are based on a categorical view with a threshold-approach to disease classification. Methods We here describe algorithms for dimensionalizing the psychopathological ratings of the widely used diagnostic interview for children and adolescents, the Kiddie-Schedule for Affective Disorders and Schizophrenia – Present and Lifetime Version (K-SADS-PL). We further evaluate the criterion-related construct validity of the dimensionalized attention-deficit/hyperactivity disorder (ADHD) scales using Rasch models in a sample of 590 children (mean age 10.29 (.36), 49% girls). Results The algorithms generate scores of current symptom load, i.e., the sum of clinician-rated symptoms within each disorder assessed with the interview. We found support for counting symptoms of inattention and hyperactivity/impulsivity, respectively, but not for a single combined ADHD scale. Conclusions The algorithms constitute an initial step in creating a framework for clinician-rated dimensional analyses of symptoms derived from the K-SADS-PL, but future studies are needed to further evaluate the construct validity of the remaining scales and the reliability and clinical utility of the method. We believe that our proposed algorithms offer a novel method of dimensional psychopathological assessment, which can be applied in multiple branches of child and adolescent psychiatry.
Partial Transport for Point-Cloud Registration

Point cloud registration plays a crucial role in various fields, including robotics, computer graphics, and medical imaging. This process involves determining spatial relationships between different sets of points, typically within a 3D space. In real-world scenarios, complexities arise from non-rigid movements and partial visibility, such as occlusions or sensor noise, making non-rigid registration a challenging problem. Classic non-rigid registration methods are often computationally demanding, suffer from unstable performance, and, importantly, have limited theoretical guarantees. The optimal transport problem and its unbalanced variations (e.g., the optimal partial transport problem) have emerged as powerful tools for point-cloud registration, establishing a strong benchmark in this field. These methods view point clouds as empirical measures and provide a mathematically rigorous way to quantify the `correspondence' between (the transformed) source and target points. In this paper, we approach the point-cloud registration problem through the lens of optimal transport theory and first propose a comprehensive set of non-rigid registration methods based on the optimal partial transportation problem. Subsequently, leveraging the emerging work on efficient solutions to the one-dimensional optimal partial transport problem, we extend our proposed algorithms via slicing to gain significant computational efficiency, resulting in fast and robust non-rigid registration algorithms. We demonstrate the effectiveness of our proposed methods and compare them against baselines on various 3D and 2D non-rigid registration problems where the source and target point clouds are corrupted by random noise.
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries

Constrained robot motion planning is a ubiquitous need for robots interacting with everyday environments, but it is a notoriously difficult problem to solve. Many sampled points in a sample-based planner need to be rejected as they fall outside the constraint manifold, or require significant iterative effort to correct. Given this, few solutions exist that present a constraint-satisfying trajectory for robots, in reasonable time and of low path cost. In this work, we present a transformer-based model for motion planning with task space constraints for manipulation systems. Vector Quantized-Motion Planning Transformer (VQ-MPT) is a recent learning-based model that reduces the search space for unconstrained planning for sampling-based motion planners. We propose to adapt a pre-trained VQ-MPT model to reduce the search space for constraint planning without retraining or finetuning the model. We also propose to update the neural network output to move sampling regions closer to the constraint manifold. Our experiments show how VQ-MPT improves planning times and accuracy compared to traditional planners in simulated and real-world environments. Unlike previous learning methods, which require task-related data, our method uses pre-trained neural network models and requires no additional data for training and finetuning the model making this a \textit{one-shot} process. We also tested our method on a physical Franka Panda robot with real-world sensor data, demonstrating the generalizability of our algorithm. We anticipate this approach to be an accessible and broadly useful for transferring learned neural planners to various robotic-environment interaction scenarios.
Predictors for future development of systemic lupus erythematosus in Korean Sjögren’s syndrome patients

Objective This study determined the impact of demographic factors, clinical manifestations, disease activity, and serological tests at baseline on future SLE development in Sjögren’s syndrome (SS) patients. Methods This retrospective study assessed 1,082 SS patients without other autoimmune diseases at baseline who visited our hospital between January 2012 and March 2021. We analyzed demographic features, extra-glandular manifestations (EGMs), clinical indices, and laboratory values at baseline between the two groups divided per future SLE development (SS/SLE group vs SS group). The probability and predictors of SLE development in SS patients were estimated using the Kaplan–Meier method and Cox proportional hazards models. Results The median follow-up duration was 1083.5 days. Forty-nine patients (4.5%) developed SLE that met the 2012 Systemic Lupus International Collaborating Clinics or 2019 EULAR/ACR classification criteria. The baseline EULAR SS disease activity index (ESSDAI) score was significantly higher in the SS/SLE group (p < .001). The SS/SLE group had more lymphadenopathy and renal involvement (p = .015 and p = .017, respectively). Shorter SS disease duration (<3 years) (hazard ratio [HR] = 2.12, p = .0328), high ESSDAI (HR = 8.24, p < .0001), leukopenia (HR = 4.17, p = .0005), thrombocytopenia (HR = 3.38, p = .0059), hypocomplementemia (HR = 29.06, p<.0001), and positive for anti-dsDNA (HR = 13.70, p < .0001), anti-ribonucleoprotein (RNP) (HR = 3.82, p = .0027), and anti-ribosomal P (HR = 6.70, p = .0002) at baseline were SLE development predictors in SS patients. Conclusion Shorter disease duration and higher disease activity of SS at baseline may be risk factors for future SLE development. Serologic predictors of SLE development are hypocomplementemia, leukopenia, thrombocytopenia, and positivity for anti-dsDNA, anti-RNP, and anti-ribosomal P antibodies. If the above factors are observed, close monitoring will be necessary during the follow-up period, considering the possibility of future SLE development.