Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential Diagnostic Value of Bilateral Inferior Petrosal Sinus Sampling (BIPSS) in ACTH-Dependent Cushing Syndrome: a Systematic Review and Meta-Analysis CURRENT STATUS: UNDER REVIEW

Background: Previous studies have shown inconsistent results in the differential diagnosis obtained from bilateral inferior petrosal sinus sampling (BIPSS) in adrenocorticotropic hormone (ACTH)-dependent Cushing syndrome. This meta-analysis evaluated the diagnostic value of BIPSS via the published literature. Methods: This study searched PubMed, Embase, Web of Science, the Cochrane library, and the Wanfang database for published data on the differential diagnosis obtained using BIPSS in Cushing syndrome as of October 2019. Sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and receiver operating characteristic (ROC) curves were calculated based on the relevant data. Results: This meta-analysis included a total of 23 studies with 1,617 patients. The calculated sensitivity, specificity, PLR, and NLR were 0.94 (95% confidence interval, CI: 0.91–0.96), 0.89 (95% CI: 0.79–0.95), 8.8 (95% CI: 4.3–17.9), and 0.07 (95% CI: 0.04–0.11), respectively. The pooled DOR and area under the ROC curve were 129 (95% CI: 48–345) and 0.97 (95% CI: 0.95–0.98), respectively. Conclusion: This meta-analysis indicated that BIPSS had a highly diagnostic value for ACTH originally in patients with ACTH-dependent Cushing syndrome, and BIPSS should be used as a routine method to identify ACTH sources. [Mesh]) AND syndrome" [Mesh]); Embase: (Emtree term-exploded Cushing’s AND petrosal sinus of Science: TS sinus sampling AND Cushing’s syndrome); Library WanFang: keyword sinus AND Cushing’s syndrome).
THE EFFECT OF DIFFERENTIAL MINERAL COMPRESSIBILITY ON DIAMOND INCLUSION THERMOBAROMETRY

The determination of temperatures and pressures from co-existing mineral inclusions in diamonds provides valuable information on the depth and thermal conditions associated with the diamond-bearing mantle (e.g. Boyd et al., 1985; Viljoen et al., 1999). In most cases, experimental or empirical thermometers and barometers are applied to pairs of non-touching silicate inclusions (e.g. garnet-orthopyroxene, garnet-olivine and garnet-clinopyroxene). Provided these are unaltered equilibrium assemblages, the application of appropriate thermobarometers should constrain the pressure and temperature conditions that prevailed at the time of diamond crystallization. However, some diamonds contain touching inclusion pairs that may reequilibrate in response to changing mantle temperatures and pressures, as long as there is sufficient time for chemical reactions to occur (e.g. Phillips et al., 1995; Sobolev et al., 1997). Consequently, touching inclusions have the potential to provide information on the post-crystallisation thermal and tectonic history of the diamond-bearing mantle. For example, Phillips et al. (1995) concluded that temperature differences between touching and nontouching inclusions from Kimberley mine diamonds were due to cooling of the mantle subsequent to diamond formation. Sobolev et al. (1997) have suggested that some touching inclusions could record elevated temperatures related to interaction with the transporting kimberlite melt.
Deep Learning Over Multi-Field Categorical Data – A Case Study on User Response Prediction - Study on Reproducibility

As the problem of predicting click-through rates and conversion rates is critical in many web applications, tackling the task of dealing with multi-field categorical data involves tedious work. In order to overcome this, Zhang et al. [2016] proposed two novel models based on Deep Neural Networks (DNNs) used to learn relevant patterns and make pertinent predictions of the users’ ad clicks. Our work involved the reproducibility of the mentioned paper, by trying to follow the official implementations and then enhancing them with other repositories from extended and up-to-date repositories on the same topic.
Effects of Fluorescent Diamond Particles FDP-NV-800nm on Essential Biochemical Functions of Primary Human Umbilical Vein Cells and Human Hepatic Cell Line, HepG-2 in vitro (Part VI): Acute Biocompatibility Studies

Background: Recently, we reported the safety and biocompatibility of fluorescent diamond particles, FDP-NV-Z-800nm (FDP-NV) injected intravenously into rats, where no morbidity and mortality were noted over a period of 3 months. The acute effects of FDP-NV-800nm particles on cultured human endothelial and hepatic cells remain unexplored. Purpose: In this study, we aimed to explore select cellular and biochemical functions in cultured human umbilical endothelial cells (HUVEC) and a human hepatic cancer cell line (HepG-2) exposed to FDP-NV-800 in vitro at exposure levels within the pharmacokinetics (Cmax and the nadir) previously reported in vivo. Methods: Diverse cellular and biochemical functions were monitored, which cumulatively can provide insights into some vital cellular functions. Cell proliferation and migration were assessed by quantitative microscopy. Mitochondrial metabolic functions were tested by the MTT assay, and cytosolic esterase activity was studied by the calcein AM assay. Chaperons (CHOP), BiP and apoptosis (caspase-3 activation) were monitored by using Western blot (WB). MAPK Erk1/2 signaling was assessed by the detection of the phosphorylated form of the protein (P-Erk 1/2) and its translocation into the cell nucleus. Results: At all concentrations tested (0.001–0.1mg/mL), FDP-NV did not affect any of the biomarkers of cell integrity of HepG2 cells. In contrast, the proliferation of HUVEC was affected at the highest concentration tested (0.1mg/mL, C max ). Exposure of HUVEC to (0.01 mg/mL) FDP-NV had a mild-moderate effect on cell proliferation as evident in the MTT assay and was absent when proliferation was assessed by direct cell counting or by using the calcein AM assays. In both cell types, exposure to the highest concentration (0.1 mg/mL) of FDP-NV did neither affect FBS-stimulated cell signaling (MAPK Erk1/2 phosphorylation) nor did it activate of Caspase 3. Conclusion: Our data suggest that FDP-NV-800nm are largely biocompatible with HepG-2 cells proliferation within the pharmacokinetic data reported previously. In contrast, HUVEC proliferation at the highest exposure dose (0.1 mg/mL) responded adversely with respect to several biomarkers of cell integrity. However, since the C max levels are very short-living, the risk for endothelial injury is likely minimal for slow rate cell proliferation such as endothelial cells.
3D Microphone Array Recording Comparison (3D-MARCo): Objective Measurements

S This paper describes a set of objective measurements carried out to compare various types of 3D microphone arrays, comprising OCT-3D, PCMA-3D, 2L-Cube, Decca Cuboid, Eigenmike EM32 (i.e., spherical microphone system) and Hamasaki Square with 0m and 1m vertical spacings of the height layer. Objective parameters that were measured comprised interchannel and spectral differences caused by interchannel crosstalk (ICXT), fluctuations of interaural level and time differences (ILD and ITD), interchannel correlation coefficient (ICC), interaural cross-correlation coefficient (IACC), and direct-to-reverberant energy ratio (DRR). These were chosen as potential predictors for perceived differences among the arrays. The measurements of the properties of ICXT and the time-varying ILD and ITD suggest that the arrays would produce substantial perceived differences in tonal quality as well as locatedness. The analyses of ICCs and IACCs indicate that perceived differences among the arrays in spatial impression would be larger horizontally rather than vertically. It is also predicted that the addition of the height channel signals to the base channel ones in reproduction would produce little effect on both source-image spread and listener envelopment, regardless of the array type. Finally, differences between the ear-input signals in DRR were substantially smaller than those observed among microphone signals.
Early Vision Optimization: Parametric Models, Parallelization and Curvature

Early vision is the process occurring before any semantic interpretation of an image takes place. Motion estimation, object segmentation and detection are all parts of early vision, but recognition is not. Many of these tasks are formulated as optimization problems and one of the key factors for the success of recent methods is that they seek to compute globally optimal solutions. This thesis is concerned with improving the efficiency and extending the applicability of the current state of the art. This is achieved by introducing new methods of computing solutions to image segmentation and other problems of early vision. The first part studies parametric problems where model parameters are estimated in addition to an image segmentation. For a small number of parameters these problems can still be solved optimally. In the second part the focus is shifted toward curvature regularization, i.e. when the commonly used length and area regularization is replaced by curvature in two and three dimensions. These problems can be discretized over a mesh and special attention is given to the mesh geometry. Specifically, hexagonal meshes are compared to square ones and a method for generating adaptive methods is introduced and evaluated. The framework is then extended to curvature regularization of surfaces. Thirdly, fast methods for finding minimal graph cuts and solving related problems on modern parallel hardware are developed and extensively evaluated. Finally, the thesis is concluded with two applications to early vision problems: heart segmentation and image registration. (Less)
Genetic diversity analysis in JNPT lines of rice ( Oryza sativa L.)

In present study, sixty-seven JNPT (Jawahar New Plant Type) lines were evaluated for twenty-eight morphological and quality traits planted in Randomized Complete Block Design with three replications. The experiment was conducted during kharif seasons of 2018 at Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, JNKVV, Jabalpur (M.P.), India. Observations were recorded on the basis of middle five random competitive plants selected from each line in every replication for yield and quality traits. Considerable genetic variability was exhibited by all the yield and quality traits under study. The genotypes of cluster VIII and IX showed higher (19816.1) inter cluster distance followed by cluster IV and VIII (12414.7). Hence genotypes of these clusters may be crossed to broaden the genetic base of rice. Intra cluster distance has been found the highest of cluster V hence, the hybridization among the genotypes of cluster V may also result superior recombinants. The results of this study suggested further hybridization programme should be planned involving the diverse genotype viz. JNPT-1065-3, JNPT-1066-52, JNPT-1065-1, JNPT-1065-2 and JNPT-1068-65 present in Cluster IV, Cluster V, Cluster VII and Cluster VIII on the basis of their greater inter-cluster distances and higher cluster mean values for the yield and quality attributing character.
Optimum shape of a blunt forebody in hypersonic flow

The optimum shape of a blunt forebody attached to a symmetric wedge or cone is determined. The length of the forebody, its semi-thickness or base radius, the nose radius and the radius of the fillet joining the forebody to the wedge or cone are specified. The optimum shape is composed of simple curves. Thus experimental models can be built readily to investigate the utilization of aerodynamic heating for boundary layer control. The optimum shape based on the modified Newtonian theory can also serve as the preliminary shape for the numerical solution of the optimum shape using the governing equations for a compressible inviscid or viscous flow.
in a Murine Model of Allergic Asthma Hyper-Responsiveness and Up-Regulation of IgE Involvement of IL-16 in the Induction of Airway

Experiments were designed to investigate the role of IL-16 in a mouse model of allergic asthma. OVA-sensitized mice were repeatedly exposed to OVA or saline aerosols. Bronchoalveolar lavage ﬂuid (BALF) was collected after the last aerosol, and the presence of IL-16 was evaluated using a migration assay with human lymphocytes. Migration of lymphocytes was signiﬁcantly increased in the presence of cell-free BALF from OVA-challenged mice compared with BALF from saline-challenged controls. This response was signiﬁcantly inhibited after addition of antibodies to IL-16, demonstrating the presence of IL-16 in BALF of OVA-challenged animals. Immunohistochemistry was performed and revealed IL-16 immunoreactivity particularly in airway epithelial cells but also in cellular inﬁltrates in OVA-challenged mice. IL-16 immunoreactivity was absent in nonsensitized animals; however, some reactivity was detected in epithelial cells of sensitized but saline-challenged mice, suggesting that sensitization induced IL-16 expression in airway epithelium. Treatment of mice with antibodies to IL-16 during the challenge period signiﬁcantly suppressed up-regulation of OVA-speciﬁc IgE in OVA-challenged animals. Furthermore, antibodies to IL-16 signiﬁcantly inhibited the development of airway hyper-responsiveness after repeated OVA inhalations, whereas the number of eosinophils in bronchoalveolar lavage or airway tissue was not affected. In conclusion, IL-16 immunoreactivity is present in the airways after sensitization. After repeated OVA inhalation, IL-16 immunoreactivity
Design of a Rotating Drum for Electrospinning Setup with Adjustable Speed

: This study is aimed to design a rotating collector drum to collect a large surface area of aligned polymeric fibers. There are some parameters that affect the degree of fibers alignment such as type of collector, speed of rotating drum, voltage, distance between syringe tip and collector, polymer concentration and feed rate. Collector drum having 80 mm diameter is selected to collect large surface area of fibers. Stainless steel is selected as the material of collector drum due to its resistance to corrosion in extreme acidic environments. In order to adjust the rotation speed of collector drum, AC motor is chosen as it uses electromagnetic induction to power the rotating device such as shaft. The safety, stability and suitability of rotating drum for large speed (>3000 rpm) were considered during the design. The rotating drum design in this project allows the production of nanofibers with controllable alignment.
Predicting Blood Pressures and Heart Rate Associated with Stress Level Using Spline Estimator: A Theoretically Discussion

: Hypertension has become a serious health problem in Indonesia because of its prevalence, however, the causative factors could not be ascertained for about ninety percent of the patients. Various studies have found several risk factors causing hypertension to be obesity, family history, stress levels, heart rate, and an unhealthy lifestyle. In this case, the variables are considered influential on hypertension through a regression function without a specific pattern, i.e., a regression function of multiresponse nonparametric regression model. The basic idea of multi-response nonparametric regression where there are correlations between responses is to let the data decide which regression function fits the best without imposing any specific form on it. In this paper we present a theoretically discussion in predicting blood pressures and heart rate affected by stress level that can be used for early detection of hypertension by using spline estimator in multi-response nonparametric regression. The estimated regression function that draws association between blood pressures, heart rate, and stress level can be obtained by taking solution of penalized weighted least square optimization by using reproducing kernel Hilbert space approach. Next, we can get the optimal smoothing parameter by minimizing generalized cross validation function. In this paper we obtain predicted model of blood pressures and heart rate associated with stress level which can be used for early prediction of hypertension.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Exact soft confidence-weighted learning Exact soft confidence-weighted learning

In this paper, we propose a new Soft Conﬁdence-Weighted (SCW) online learning scheme, which enables the conventional conﬁdence-weighted learning method to handle non-separable cases. Unlike the previous conﬁdence-weighted learning algorithms, the proposed soft conﬁdence-weighted learning method enjoys all the four salient properties: (i) large margin training, (ii) conﬁdence weighting, (iii) capability to handle non-separable data, and (iv) adaptive margin. Our experimental results show that the proposed SCW algorithms signiﬁcantly outperform the original CW algorithm. When comparing with a variety of state-of-the-art algorithms (including AROW, NAROW and NHERD), we found that SCW generally achieves better or at least comparable predic-tive accuracy, but enjoys signiﬁcant advan-tage of computational eﬃciency (i.e., smaller number of updates and lower time cost).
Using Social Media To Determine Outcomes That Matter Most To Patients

Background : Social media discussions around medication use by clinicians and patients have created a public record that can provide new, timely insights into various unique and existing topics, including adverse events. Unstructured patient discussions from social media platforms and online forums could offer many patient narratives that traditional qualitative research efforts may not typically capture. The current research focuses on analyzing social media data to understand outcomes that matter most to patients. Objectives : Firstly, to assess the value and feasibility of using social media to understand the patient perspective on medical product risks and living with different medical conditions. Secondarily, to determine and propose the best methods for distilling insights from social media. Methods: A third-party vendor acquired 12 months of publicly available posts from Twitter  and patient forums mentioning a chemotherapy medication for breast cancer (BC). Data were automatically processed to standardize drug names, vernacular symptoms and to remove duplicates a s well as “ noise. ” Posts were manually reviewed by analysts to confirm automated outputs and to apply sentiment tags. We then used Binary Matrix Factorization (BMF), Bayesian Estimation (BE), Latent Dirichlet Allocation (LDA), and Regular Expression Filtering (REF) to identify trends and associations between user sentiment and topics such as adverse events (AEs), quality of life, and experiences living with BC. Results: Analyses of social media posts indicated that diverse and high-volume discussions of the patient journey and perspective towards a wide range of topics are held in online forums. A total of 16,015 posts were collected and processed; 1,389 were then manually reviewed. Issues about insurance, infection, employment, the emotional impact of treatment or disease, and side effects were most commonly discussed. BC patient ’ s most frequently discussed chemotherapy side effects were alopecia and peripheral neuropathy. specific encouraged to provide rich narratives similar in detail to in-person dedicated classifier each therapeutic
Website Content Management System

Bug Tracking, Help Desk Ticketing, issue raising, search facility, help information, issue resolution. Issues related to software projects can be raised, tracked and resolved by Employees of different departments. Resolved issues can be allowed to access from Knowledge Base as Knowledge elements. The different groups and representatives can interact each other through emails.The issue tracking system does all the jobs that are done in conventional system but ,here , everything is done in more formal and efficient manner. All the users of organization can interact with each other through the Issue Tracking System. This system acts as an interface between the employees thereby enabling them to forward their issues to the centralized Issue tracking system. Hence, making the work easy for both the issue raiser and the resolved. It totally avoids the involvement of middlemen in getting resolution for a particular issue.The Issue Tracking system is an intranet application, which provides information about issues in software projects, in detail. This product develops a system that can be used by all the departments of a software organization. In the conventional method, all the issues are dealt manually . The progress of the issues are also checked in person, which is a tedious task. Here, in Issue Tracking, it fulfills different requirements of administrator and employees of a software development organization efficiently. The specific purpose of the system is to gather and resolve issues that arise in different projects handled by the organization.
Multiple channel queues in heavy traffic

The queueing systems considered in this paper consist of r independent arrival channels and s independent service channels, where as usual the arrival and service channels are independent. Arriving customers form a single queue and are served in the order of their arrival without defections. We shall treat two distinct modes of operation for the service channels. In the standard system a waiting customer is assigned to the first available service channel and the servers (servers ≡ service channels) are shut off when they are idle. Thus the classical GI/G/s system is a special case of our standard system. In the modified system a waiting customer is assigned to the service channel that can complete his service first and the servers are not shut off when they are idle. While the modified system is of some interest in its own right, we introduce it primarily as an analytical tool. Let λ i denote the arrival rate (reciprocal of the mean interarrival time) in the ith arrival channel and μ j the service rate (reciprocal of the mean service time) in the jth service channel. Then is the total arrival rate to the system and is the maximum service rate of the system. As a measure of congestion we define the traffic intensity ρ = λ/μ.
CUDARE Working Papers

This paper assesses whether commercial real estate participants are willing to pay a premium for an energy efficient building that has not received a green label. I utilize a unique dataset of detailed building-level observations and a spatial semiparametric matching framework that exploits quasi-experimental state-by-year variation in the implementation of mandatory building energy codes, to estimate selling price and rent premiums for a more stringent code. I find that buildings constructed under a more stringent energy code are associated with rent and selling price premiums of approximately 2.7% and 10%, respectively, compared to buildings constructed just before the code came into effect. When tenants pay directly for utilities, buildings constructed under an energy code are associated with 5.7% higher rents. These premiums are consistent with complete capitalization of estimated building-level savings, and therefore cast doubt on the existence of an energy efficiency gap resulting from adverse selection between landlords and tenants in commercial buildings. JEL classification: D82, Q48, R33