Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiband Transit Follow-up Observations of Five Hot Jupiters with Critical Noise Treatments: Improved Physical Properties

The most challenging limitation in transit photometry arises from the noises in the photometric signal. In particular, the ground-based telescopes are heavily affected by the noise due to perturbation in the Earth’s atmosphere. Use of telescopes with large apertures can improve the photometric signal-to-noise ratio to a great extent. However, detecting a transit signal out of a noisy light curve of the host star and precisely estimating the transit parameters call for various noise reduction techniques. Here, we present multiband transit photometric follow-up observations of five hot Jupiters e.g., HAT-P-30 b, HAT-P-54 b, WASP-43 b, TrES-3 b, and XO-2 N b, using the 2 m Himalayan Chandra Telescope at the Indian Astronomical Observatory, Hanle, and the 1.3 m J. C. Bhattacharya Telescope at the Vainu Bappu Observatory, Kavalur. Our critical noise treatment approach includes techniques such as wavelet denoising and Gaussian process regression, which effectively reduce both time-correlated and time-uncorrelated noise components from our transit light curves. In addition to these techniques, use of our state-of-the-art model algorithms have allowed us to estimate the physical properties of the target exoplanets with a better accuracy and precision compared to the previous studies.
Deep learning for solution and inversion of structural mechanics and vibrations

Deep learning has been the most popular machine learning method in the last few years. In this chapter, we present the application of deep learning and physics-informed neural networks concerning structural mechanics and vibration problems. Demonstration problems involve de-noising data, solution to time-dependent ordinary and partial differential equations, and characterizing the system's response for a given data.
Survey and perspective on social emotions in robotics

This paper presents a review of available research concerning social emotions in robotics. In robotics, the study of emotions has been pursued since a long time. The popular research endeavors in robotics concern the study of robotic recognition, expression, and computational modeling of the basic mechanisms that underlie them. The advancements in research relevant to this domain are in accordance with well-known psychological findings obtained using the category and dimension theories. Many studies are based on these basic theories, which exclusively address the basic emotions. However, social emotions, also referred to as high-level emotions, have been investigated in psychology. We believe that these high-level emotions are worth investigating for the development of next-generation robotic systems – socially aware robots. This paper summarizes the findings concerning social emotions reported through psychology and neuroscience research endeavors along with a survey of studies concerning social emotions in robotics conducted to date. Moreover, this paper discusses future research directions to facilitate the implementation of social emotions in robots. GRAPHICAL ABSTRACT
KotlinDetector: Towards Understanding the Implications of Using Kotlin in Android Applications

Java programming language has been long used to develop native Android mobile applications. In the last few years many companies and freelancers have switched into using Kotlin partially or entirely. As such, many projects are released as binaries and employ a mix of Java and Kotlin language constructs. Yet, the true security and privacy implications of this shift have not been thoroughly studied. In this work, a state-of-the-art tool, KotlinDetector, is developed to directly extract any Kotlin presence, percentages, and numerous language features from Android Application Packages (APKs) by performing heuristic pattern scanning and invocation tracing. Our evaluation study shows that the tool is considerably efficient and accurate. We further provide a use case in which the output of the KotlinDetector is combined with the output of an existing vulnerability scanner tool called AndroBugs to infer any security and/or privacy implications.
Topological Flexural Modes in Polarized Bilayer Lattices

Topological lattices have recently generated a great deal of interest based on the unique mechanical properties rooted in their topological polarization, including the ability to support localized modes at certain floppy edges. The study of these systems has been predominantly restricted to the realm of in-plane mechanics, to which many topological effects are germane. In this study, we stretch this paradigm by exploring the possibility to export certain topological attributes to the flexural wave behavior of thin lattice sheets. To couple the topological modes to the out-of-plane response, we assemble a bilayer lattice by stacking a thick topological kagome layer onto a thin twisted kagome lattice. The band diagram reveals the existence of modes whose out-of-plane character is controlled by the edge modes of the topological layer, a behavior elucidated via simulations and confirmed via laser vibrometer experiments on a bilayer prototype specimen. These results open an alternative direction for topological mechanics whereby flexural waves are controlled by the in-plane topology, leading to potential applications for flexural wave devices with engineered polarized response.
Cytotoxic Effects of N,N-Diethyl-Meta-Toluamide (DEET) on Sinonasal Epithelia

Although the etiology of chronic rhinosinusitis remains unknown, environmental factors including airborne pollutants and toxicants are postulated to contribute to its pathogenesis. However, the precise pathomechanisms with which environmental toxicants may contribute to chronic rhinosinusitis are not fully understood. The purpose of this pilot study is to examine the cytotoxic effects of N,N-diethyl-meta-toluamide (DEET), a commonly used pesticide, on sinonasal epithelial cells (SNECs). Sinus mucosa was obtained from 3 subjects without a history of chronic rhinosinusitis. Cultured SNECs were exposed to various concentrations of DEET (0-5 mM) for 6 days. Cell viability, proliferation, and morphologic changes were assessed using the MTT colorimetric dye assay and the Incucyte Live Cell Monitoring System. Statistically significant dose-dependent reduction in cell viability and proliferation was observed between exposure and control groups (P < .05) at all concentrations tested. Dose-dependent cellular morphological changes were also seen. These findings indicate that DEET exposure induces dose-dependent cytotoxicity in sinonasal epithelia.
The 2020 NBA Orthobiologics Consensus Statement

This 2020 NBA Orthobiologics Consensus Statement provides a concise summary of available literature and practical clinical guidelines for team physicians and players. We recognize that orthobiologic injections are a generally safe treatment modality with a significant potential to reduce pain and expedite early return to play in specific musculoskeletal injuries. The use of orthobiologics in sports medicine to safely reduce time loss and reinjury is of considerable interest, especially as it relates to the potential effect on a professional athlete. While these novel substances have potential to enhance healing and regeneration of injured tissues, there is a lack of robust data to support their regular use at this time. There are no absolutes when considering the implementation of orthobiologics, and unbiased clinical judgment with an emphasis on player safety should always prevail. Current best evidence supports the following: Key Points There is support for the use of leukocyte-poor platelet-rich plasma in the treatment of knee osteoarthritis. There is support for consideration of using leukocyte-rich platelet-rich plasma for patellar tendinopathy. The efficacy of using mesenchymal stromal cell injections in the management of joint and soft tissue injuries remains unproven at this time. There are very few data to suggest that current cell therapy treatments lead to any true functional tissue regeneration. Meticulous and sterile preparation guidelines must be followed to minimize the risk for infection and adverse events if these treatments are pursued. Given the high variability in orthobiologic formulations, team physicians must stay up-to-date with the most recent peer-reviewed literature and orthobiologic preparation protocols for specific injuries. Evidence-based treatment algorithms are necessary to identify the optimal orthobiologic formulations for specific tissues and injuries in athletes. Changes in the regulatory environment and improved standardization are required given the exponential increase in utilization as novel techniques and substances are introduced into clinical practice.
Regional Brain Glucose Metabolism and Its Prognostic Value in Pretreatment Extranodal Natural Killer/T-Cell Lymphoma Patients

Objective To explore regional brain glucose metabolic abnormalities of pretreatment stage I/II extranodal natural killer/T-cell lymphoma (ENKTL) patients using positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography (18F-FDG PET/CT) and assess its prognostic value. Methods Sixty pretreatment stage I/II ENKTL patients were enrolled in this retrospective study and divided into survival (n = 45) and death (n = 15) groups according to their status at the end of follow-up. A control group consisted of 60 healthy subjects. Regional cerebral glucose metabolism was evaluated on a voxel-by-voxel basis using statistical parametric mapping (SPM8) under a certain significance level (P < 0. 001) and voxel threshold (K = 100 voxels). Results Decreased metabolism was noted in patients, involving the bilateral prefrontal and orbitofrontal cortex, partial parietal and occipital cortex, cingulate gyrus and cerebellum; the sensorimotor cortex was largely spared. Increased metabolism was observed in the bilateral putamen, amygdala, and parahippocampal gyrus. Compared with the survival group, the death group had higher metabolism in the bilateral amygdala, putamen, left thalamus, uncus, and parahippocampal gyrus. Only B symptoms were associated with the increased metabolism of basal ganglia and thalamus (BGT). Patients with high metabolic tumor volume, total lesion glycolysis (TLG) and BGT metabolism had a poor prognosis. TLG and maximum standardized uptake value (SUVmax) LBGT/SUVmaxRight cerebellum were associated with Eastern Cooperative Oncology Group (ECOG) and prognostic index of natural killer lymphoma and Epstein-Barr virus-DNA (PINKE) scores. In multivariate analysis, only ECOG was an independent prognostic factor of both progression-free survival (PFS) and overall survival (OS). PINKE was an independent prognostic factor of OS. Conclusion Pretreatment stage I/II ENKTL patients exhibited abnormal regional cerebral glucose metabolism. Higher pretreatment glucose metabolism in BGT could predict a relatively poor prognosis but did not surpass the predictive values of ECOG and PINKE in stage I/II ENKTL patients.
Does Culture Influence Antidepressant Response? A Preliminary Investigation of Randomized Controlled Trials of Fluoxetine

Background Contemporary models of depression view the disorder as arising from an interaction between genetic vulnerability and adverse life experiences. The nature of these experiences is strongly influenced by social-cultural factors, and there is preliminary evidence that these factors may influence the response to treatment. Methods In this pilot study, pooled response rates obtained from 56 randomized controlled trials of fluoxetine for major depression, conducted across 21 countries, were analyzed in relation to Hofstede’s six dimensions of culture in these countries, while controlling for methodological quality. Results The cultural dimensions of power distance (r = .62, p = .002), masculinity (r = .45, p = .04) and indulgence (r = -.52, p = .016) were significantly correlated with antidepressant response rates, though only the first of these remained significant after correction for multiple comparisons. On linear regression analysis, the association between power distance and antidepressant response remained significant (β = .62, p = .002). Conclusions These preliminary results suggest that certain cultural factors may be significantly associated with cross-national variations in antidepressant response rates during clinical trials.
A seq2seq model to forecast the COVID-19 cases, deaths and reproductive R numbers in US counties

The global pandemic of coronavirus disease 2019 (COVID-19) has killed almost two million people worldwide and over 400 thousand in the United States (US). As the pandemic evolves, informed policy-making and strategic resource allocation relies on accurate forecasts. To predict the spread of the virus within US counties, we curated an array of county-level demographic and COVID-19-relevant health risk factors. In combination with the county-level case and death numbers curated by John Hopkins university, we developed a forecasting model using deep learning (DL). We implemented an autoencoder-based Seq2Seq model with gated recurrent units (GRUs) in the deep recurrent layers. We trained the model to predict future incident cases, deaths and the reproductive number, R For most counties, it makes accurate predictions of new incident cases, deaths and R values, up to 30 days in the future. Our framework can also be used to predict other targets that are useful indices for policymaking, for example hospitalization or the occupancy of intensive care units. Our DL framework is publicly available on GitHub and can be adapted for other indices of the COVID-19 spread. We hope that our forecasts and model can help local governments in the continued fight against COVID-19.
Gas Chromatography: A Mini Review

Gas Chromatography (GC or GLC) is a normally utilized analytic technique as a part of numerous research and industrial research facilities for quality control and in addition identification and quantitation of components in a mixture. GC is likewise utilized technique as a part of numerous environmental and forensic labs since it takes into consideration the detection of very little quantities. An expansive variety of tests can be analysed the until the compounds are adequately thermally steady and reasonably volatile. In gas chromatography (GC), the mobile phase is a inert gas (eg helium). The stationary stage is a thin layer of a inert fluid on an inert solid support -, for example, beads of silica pressed into a long thin tube (this adaptable tube is curled ordinarily inside a thermostatically-controlled oven to keep it at a consistent temperature).
Blood transfusions may adversely affect survival outcomes of patients with lung cancer: a systematic review and meta-analysis

Background Despite common use in clinical practice, the impact of blood transfusions on prognosis among patients with lung cancer remains unclear. The purpose of the current study is to perform an updated systematic review and meta-analysis to evaluate the influence of blood transfusions on survival outcomes of lung cancer patients. Methods We searched PubMed, Embase, Cochrane Library, and Ovid MEDLINE for publications illustrating the association between blood transfusions and prognosis among people with lung cancer from inception to November 2019. Overall survival (OS) and disease-free survival (DFS) were the outcomes of interest. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were computed using the random-effects model. Study heterogeneity was evaluated with the I2 test. Publication bias was explored via funnel plot and trim-and-fill analyses. Results We included 23 cohort studies with 12,175 patients (3,027 cases and 9,148 controls) for meta-analysis. Among these records, 22 studies investigated the effect of perioperative transfusions, while one examined that of transfusions during chemotherapy. Two studies suggested the possible dose-dependent effect in accordance with the number of transfused units. In pooled analyses, blood transfusions deleteriously influenced both OS (HR=1.35, 95% CI: 1.14–1.61, P<0.001, I2=0%) and DFS (HR=1.46, 95% CI: 1.15–1.86, P=0.001, I2=0%) of people with lung cancer. No evidence of significant publication bias was detected in funnel plot and trim-and-fill analyses (OS: HR=1.26, 95% CI: 1.07–1.49, P=0.006; DFS: HR=1.35, 95% CI: 1.08–1.69, P=0.008). Conclusions Blood transfusions were associated with decreased survival of patients with lung cancer.
The Roles of Type 2 Cytotoxic T Cells in Inflammation, Tissue Remodeling, and Prostaglandin (PG) D2 Production Are Attenuated by PGD2 Receptor 2 Antagonism

Key Points Multiple proinflammatory effects of Tc2 cells are inhibited by DP2 antagonism. Tissue-remodeling functions of Tc2 cells are attenuated by DP2 antagonism. Autocrine/paracrine PGD2 production in Tc2 cells is reduced by DP2 antagonism. Human type 2 cytotoxic T (Tc2) cells are enriched in severe eosinophilic asthma and can contribute to airway eosinophilia. PGD2 and its receptor PGD2 receptor 2 (DP2) play important roles in Tc2 cell activation, including migration, cytokine production, and survival. In this study, we revealed novel, to our knowledge, functions of the PGD2/DP2 axis in Tc2 cells to induce tissue-remodeling effects and IgE-independent PGD2 autocrine production. PGD2 upregulated the expression of tissue-remodeling genes in Tc2 cells that enhanced the fibroblast proliferation and protein production required for tissue repair and myofibroblast differentiation. PGD2 stimulated Tc2 cells to produce PGD2 using the routine PGD2 synthesis pathway, which also contributed to TCR-dependent PGD2 production in Tc2 cells. Using fevipiprant, a specific DP2 antagonist, we demonstrated that competitive inhibition of DP2 not only completely blocked the cell migration, adhesion, proinflammatory cytokine production, and survival of Tc2 cells triggered by PGD2 but also attenuated the tissue-remodeling effects and autocrine/paracrine PGD2 production in Tc2 induced by PGD2 and other stimulators. These findings further confirmed the anti-inflammatory effect of fevipiprant and provided a better understanding of the role of Tc2 cells in the pathogenesis of asthma.
Evaluating Arterial Blood Flow Limitation Using Muscle Oxygenation and Cycling Power

Objective: To explore the combination of measuring muscle oxygenation with near-infrared spectroscopy (NIRS) and cycling power during provocative incremental exercise for the detection of iliac arterial blood flow limitation (IAFL) in an otherwise healthy, well-trained cyclist. Design: Case report and methodological pilot study. Setting: University research setting. Patient: A well-trained amateur competitive male cyclist, aged 31 years, presenting with symptoms consistent with IAFL, but in whom diagnostic imaging was equivocal. Interventions: Four ramp incremental cycling tests performed on separate days to exercise intolerance, in a randomized order, in either typical race position (RP) or modified upright position (UP). Main Outcome: A novel ratio of unilateral cycling power to NIRS-derived muscle oxygenation termed “power-deoxygenation factor” was measured during provocative incremental exercise and compared with other NIRS-derived measures of vascular responsiveness and performance outcomes across the 2 body position conditions. Results: The power–deoxygenation factor was able to show clinically important, progressive differences between the affected and unaffected limbs, coinciding with worsening performance impairments related to the body position that were not detected with traditional measures of vascular responsiveness taken after exercise. Conclusions: This method was used to detect bilateral differences consistent with IAFL in a cyclist where traditional diagnostic criteria were equivocal, but subsequent intraoperative findings confirmed the diagnosis. A similar screening test could be performed noninvasively and without requiring specialized medical care. Future work should investigate the validity and sensitivity of this methodology to improve the ability to identify and monitor athletes with IAFL.
Intolerability to postoperative early oral nutrition in older patients (≥70 years) undergoing gastrectomy for gastric cancer: A case-control study

Background Postoperative early oral nutrition has increasingly been adopted for patients undergoing gastrectomy. However, intolerability to early oral nutrition remains a major concern, especially in older patients. This study aimed to investigate early oral nutrition intolerability in older patients who had undergone gastrectomy. Methods We retrospectively reviewed 825 patients who had undergone gastrectomy for gastric carcinoma between 2017 and 2019. All patients received an oral diet on postoperative day 1. Patients were divided into older (≥70 years) and younger (<70 years) adult groups, and short-term outcomes and intolerability to oral nutrition were compared. Intolerability to early oral nutrition was defined as oral diet cessation due to adverse gastrointestinal symptoms. Results Among the 825 patients (≥70 years, n = 286; <70 years, n = 539), 151 (18.3%) developed intolerability to early oral nutrition, of whom 100 patients were < 70 years old and 51 were ≥70 years old. The most common symptom causing intolerability was abdominal distension. The mean duration of fasting after developing intolerability was 2.8 ± 2.4 days. The incidence of intolerability in the older and younger adult groups was 17.8% and 18.6%, respectively (p = 0.799). In terms of sex, operative approach, gastric resection, lymph node dissection, reconstruction, and tumor stage subgroups, the older adult group did not exhibit a significant increase in intolerability. Postoperatively, the older adult group showed a higher incidence of systemic complications; however, anastomotic complications did not significantly differ between the two groups. Conclusions Postoperative early oral nutrition can safely be adopted for older patients undergoing gastrectomy, with acceptable intolerability and surgical outcomes.
The Mortality and Overall Survival Trends of Primary Liver Cancer in the United States.

BACKGROUND Recent trends of hepatocellular carcinoma (HCC) mortality and outcome remain unknown in the United States (US). We investigated the recent trends of primary liver cancer (excluding intrahepatic cholangiocarcinoma) mortality and HCC stage, treatment, and overall survival (OS) in the US. METHODS US Cancer Mortality database was analyzed to investigate the trend of primary liver cancer mortality. We analyzed the SEER 18 database to assess the temporal trend of tumor size, stage, treatment, and OS of HCC. Cox regression analysis investigated the association between HCC diagnosis year and OS. All statistical tests were 2-sided. RESULTS During 2000-2018, liver cancer mortality rates increased until 2013, plateaued during 2013-2016 (annual percent change [APC] = 0.1%/yr, 95% confidence interval [CI] = -2.1% to 2.4%; P=0.92), and started to decline during 2016-2018 (APC = -1.5%/yr, 95% CI= -3.2% to 0.2%; P=0.08). However, mortality continues to increase in American Indians/Alaska Natives, individuals aged 65 or older, and in 33 states. There was a 0.61% (95% CI = 0.53% to 0.69%; P<0.001) increase in localized stage HCC and 0.86 mm (95% CI= -1.10 to -0.62; P<0.001) decrease in median tumor size per year. One-year OS rate increased from 36.3% (95% CI = 34.3% to 38.3%) to 58.1% (95% CI = 56.9% to 59.4%) during 2000-2015, and five-year OS rate almost doubled from 11.7% (95% CI = 10.4% to 13.1%) to 21.3% (95% CI = 20.2% to 22.4%) during 2000-2011. Diagnosis year (per year) (adjusted hazard ratio = 0.96; 95% CI = 0.96 to 0.97) was independently associated with OS in multivariable analysis. CONCLUSIONS Primary liver cancer mortality rates have started to decline in the US with demographic and state-level variation. With an increasing detection of localized HCC, the OS of HCC has improved over the past decades.