Miracle-dz/UniFAR-FTUs huggingface dataset:
Management of giant cell tumor of fibular head with curettage: A case report

Giant cell tumour of bones is an unusual neoplasm that accounts for 4% of all primary tumours of bone, and it represents about 10% of malignant primary bone tumours with its different grades from borderline to high grade malignancy. GCT generally occurs in skeletally mature individuals with its peak incidence in third decade of life. Distal femur and proximal tibia are the commonest sites followed by distal radius. Less than 4% of these tumours are known to affect the ankle joints. But, its biological behaviour at this rare location is quite unpredictable. Case Summary: 24 years old male presented with history of nontraumatic pain of left knee since 2 years. Patient was initially evaluated from peripheral hospital with x rays and MRI. It showed a welldefined osteolytic lesion in the epiphysis involving the metaphysical bone of right fibular head without intra-articular extension. Conclusion: In cases of GCT, the management depends upon the various factors such as site, age, involvement of the bone, extent of bone involvement and whether there is articular involvement or not. Extra-articular GCT can be managed with extended intralesional curettage. However, in the proximal fibula, total en bloc excision of the tumor is the treatment of choice.
Half2Half: deep neural network based CT image denoising without independent reference data

Reducing radiation dose of x-ray computed tomography (CT) and thereby decreasing the potential risk to patients are desirable in CT imaging. Deep neural network (DNN) has been proposed to reduce noise in low-dose CT (LdCT) images and showed promising results. However, most existing DNN-based methods require training a neural network using high-quality CT images as the reference. Lack of high-quality reference data has therefore been the bottleneck in the current DNN-based methods. Recently, a noise-to-noise (Noise2Noise) training method was proposed to train a denoising neural network with only noisy images. It has also been applied to LdCT data in both the count domain and image domain. However, the method still requires a separately acquired independent noisy reference image for supervising the training procedure. To address this limitation, we propose a novel method to generate both training inputs and training labels from the existing CT scans, which does not require any additional high-dose CT images or repeated scans. Therefore, existing large noisy dataset can be fully exploited for training a denoising neural network. Our experimental results show that the trained networks can reduce noise in existing CT image and hence improve the image quality for clinical diagnosis.
A 65nm Technology CMOS Inverter S

- The inverter is the backbone of any digital circuit which can perform Boolean operation on the single input variable. At present world low power device design and its implementation have got a significant role in the field of nano -electronic circuits. In this paper we have optimized the CMOS inverter design in 65nm technology and verified its operation using cadence virtuoso tool.
Comparative study of Papaya Vs Normal Saline Dressing in healing of Ulcers

AIM OF THE STUDY: 1. To compare the effectiveness of papaya and normal saline in healing of ulcers. 2. To evaluate the role of papaya dressing in wound debridement, granulation tissue formation, reduction in ulcer size and ulcer healing. BACKGROUND: Wet to dry normal saline mechanical debridement is the most common, cost effective debridement method which is used widely, in our hospital setup also in management of wound care. Papaya has been a enzymatic debriding agent which is in use for many years. There has been various review articles and studies on the debriding properties of papaya in western population and diabetic rats. This study was conducted to compare the efficacy of two debriding agents : enzymatic debridement with papaya and wet to dry normal saline mechanical debridement on diabetic wounds, sloughed infected wounds and in post operative wound dehiscence. MATERIALS AND METHODS: This is a comparative interventional study of 100 patients done at Government Kilpauk Medical College Hospital, Chennai between August 2013 to August 2014. patients were selected and randomized into two groups Group I – treated with papaya and Group II with normal saline. Patients were clinically assessed at the time of inclusion and daily dressing was done. Patients were assessed weekly for 4 weeks and response noted regarding slough reduction, granulation tissue formation, reduction in ulcer size and overall response to treatment. Additional treatment and follow up upto 3 months were recorded. RESULTS: Papaya is a better and efficacious debriding agent in comparison to wet to dry normal saline dressing and it also promotes faster granulation tissue formation. Overall response to treatment with papaya is good. CONCLUSION: Papaya dressing and normal saline dressing have proven efficacy in debridement of wounds. Papaya dressing is a better enzymatic agent when compared to wet to dry normal saline mechanical debridement. Papaya dressing was found to remove slough and necrotic tissue more rapidly when compared to normal saline as per our study. Wounds treated with papaya dressing had a faster granulation tissue formation compared to normal saline dressing. There was no significant difference in reduction in ulcer size between the two groups in this study. Overall response to treatment with papaya dressing was significantly better when compared to normal saline dressing.
A Cross Disciplinary Assessment of Job Performance among Teachers of Secondary Schools in Cross River State, Nigeria

A sample of 1062 teachers was selected from an estimated population of 21,240 teachers spread across the 203 public secondary schools in Cross River State of Nigeria. An instrument called Teachers’ Affective Characteristics Questionnaire was used for data collection. The data were analysed using One-Way Analysis of Variance (ANOVA) test statistic. Results of the study showed that teachers’ academic disciplines significantly influence their job performances in terms of lesson delivery, students’ assessment/evaluation, classroom management, and student discipline. It was concluded that it was those teachers who had education as their disciplines that were better in overall job performance than their counterparts who do not belong to the discipline of education. The study concludes that teachers should be encouraged to pick higher degrees in education after their first degrees as this will improve their
The Potential of Grazing Grain Sorghum Residue Following Harvest

Grain sorghum is a summer crop grown throughout Oklahoma, mostly west of I-35. Sorghum fits into most Oklahoma crop rotations and provides growers with a rotational crop option considered to have a higher heat tolerance and a lower water demand than some other summer crops. For instance, grain sorghum requires a minimum of 18 inches of precipitation during the growing season, while high-yielding corn will need up to 30 inches (Assefa et al., 2010). Grain sorghum production has seen increased challenges through the latter half of the 2010s, associated with increased competition from other crops, increasing pressure from sugarcane aphids and lower commodity prices. These challenges have resulted in a decline in production acres throughout the state. However, most crops face similar production challenges and remain a viable option for growers, specifically for winter wheat growers. For sorghum to be a profitable option, growers have to look for ways to extend the value of the crop to increase the potential benefits.
Evaluation of workpiece surface integrity following creep feed grinding of single-crystal nickel based alloy DD6

Abstract: In this article, tests were carried out to evaluate the workpiece surface integrity in creep feed grinding of single-crystal nickel based alloy DD6, with micro-crystal alumina (MA) and brown alumina (BA) abrasive wheels, respectively. Changes in the wheel topography, surface roughness, microhardness, as well as metallography of workpieces were evaluated by means of optical microscope, scanning electron microscope (SEM), microhardness tester etc. The results are summarized as following: (1) The main wear pattern of alumina wheels was determined as wheel clogging during grinding of DD6. (2) Surface roughness was typically higher by up to ~50% on DD6 ground by BA wheel due to great wheel clogging and workpiece tearing and scratching. (3) The depth of affected layer was extended to ~10 μm and surface hardening up to ~430 HV0.05 occurred when creep feed grinding of DD6 using BA wheel. In contrast, ground DD6 surface showed slightly marginal hardening behavior with MA wheel.
Auction Theory

Auctions have become an important mechanism to allocate scarce resources, in the physical world and in the virtual world. The analysis of auction often proceeds by assuming an ex-ante symmetry among the bidders. Yet, many markets are distinguished by fundamental asymmetries between the bidders. Some bidders may have on average higher valuations or better information, or may have a richer strategy sets. Until today very little is known how classic auction results perform in such asymmetric environments. This research project aims to develop the first such results. The research project is using advanced mathematics in optimization and differential equations, and thus will require an advanced background in mathematics, and might be ideal for majors in mathematics and joint majors in mathematics.
Generalizing mechanism design theory to a case where agents' types are adjustable

In mechanism design theory, a designer would like to implement a desired social choice function which specifies her favorite outcome for each possible profile of all agents' types. Since the designer does not know each agent's private type, what she can do is to construct a mechanism and choose an outcome after observing a profile of agents' strategies. There is a dilemma in the sense that even if the designer is not satisfied with some outcome, she has to obey the mechanism designed by herself and announce this outcome. In this paper, we generalize the mechanism design theory to a case where the designer can take some action to actively adjust agents' private types, and yield a more favorite outcome. After defining a series of notions such as adjustable types, optimal adjustment cost and profitably Bayesian implementability, we propose that the traditional notion of Bayesian incentive compatibility does not hold in this generalized case. Finally, we construct a model to illustrate that the auctioneer can obtain an expected profit greater than what she obtains in the traditional optimal auction.
Gone Fishing! Scientists Use Mutant Zebra Fish to Learn How Vertebrate Embryos Develop

M ark C. Fishman has recently netted mutant fish so strange he has trouble believing they even exist. Take the doomed animal whose blood cells literally fell to pieces when he exposed the fish to light. "The red blood cells became fluorescent and popped. You could watch the cells explode. It was really rather gorgeous," says Fishman, head of cardiovascular research at the Massachusetts General Hospital (MGH) in Boston. The researcher didn't reel in this hapless mutant from the polluted waters of Boston's Charles River. Like scores of other bizarre fish, it was caught in Fishman's laboratory. The mutants are zebra fish, or Danio rerio, and they are the rage among developmental biologists, who study the seemingly miraculous process in which a fertilized egg cell becomes a multicellular adult organism. Using radiation, chemicals, or viruses, these investigators deliberately trigger mutations in zebra fish in hopes of identifying the genetic repertoire employed by a developing vertebrate embryo. The fledgling field of zebra fish research hit a landmark this month with the publication of a special issue of DEVELOPMENT. In more than 3 dozen articles, researchers describe hundreds of mutant fish produced at MGH and at a laboratory in Tiubingen, Germany. "It's the largest collection of mutations affecting embryogenesis that exists for any vertebrate," says Wolfgang Driever, who organized the MGH mutant hunt and is now setting up his own zebra fish laboratory in Freiburg, Germany. The journal celebrates its special issue with a bit of whimsy. The upper corners of the right-hand pages hold a series of 230 digitized images chronicling the development of a zebra fish embryo from its two-celled stage. If you thumb quickly through the pages, "you can actually see cells dividing," says Donald A. Kane of the University of Oregon in Eugene, who worked on the flip book feature. "It's an incredibly fun time now to work with zebra fish. It must have been like this with flies many years ago. " Kane's remark about flies refers to the extraordinary success developmental biologists have had with Drosophila melanogaster, the common fruit fly Last year, for example, a Nobel prize honored three researchers who in the 1970s studied mutant fruit flies in which embryogenesis has gone awry (SN: 10/14/95, p. 246). While biologists have been startled to learn that many of the genes that guide insect embryogenesis perform similar tasks in vertebrates, there's only so much fruit flies can tell them. Consequently, scientists have longed for a vertebrate whose development is as easy to study. The South African frog Xenopus laevis, whose embryo is quite large and easily manipulated, has been a leading con-
Effects of Supplementation and Training on Ameliorating Lipid Profiles and Protection against Coronary Artery Disease; an Experimental Study

Introduction: The use of antioxidants may reduce the harmful effects of radicals during exercise and extreme sports. The Current study aimed to investigate the effect of this supplement on the lipid profiles in exercise-induced muscle injury. Methods: In this experimental study, 64 Wistar rats were randomly divided into four groups of control, exercise, exercise + Resveratrol (REV) and REV. After a week of adaptation, endurance and acute exercises were conducted in a motor driven treadmill, followed by using a training protocol in which running speed was gradually elevated until 19 weeks of age. Finally, the levels of cholesterol (CHO), triglycerides (TG), low-density lipoproteins (LDL), high-density lipoproteins (HDL), and very low-density lipoproteins (VLDL) were compared between the groups. Results: There was no statistically significant difference in CHO plasma level between the studied groups after acute and endurance exercises. There was a significant increase in the level of TG in the exercise group (p = 0.001) and the exercise + REV (p = 0.004) group after acute and endurance exercises. After the implementation of the endurance and acute exercises none of the studied groups had statistically significant changes in HDL plasma level. There was a significant decrease in LDL plasma levels in the exercise (p = 0.007) and the exercise + REV (p = 0.01) groups. After performing endurance protocol, VLDL plasma levels increased significantly in the exercise (p = 0.001) and the exercise+ REV (p = 0.005) groups in comparison with control group. Conclusions: Based on the findings, there was no difference in the level of CHO and HDL between the training groups, REV and control groups. However, both endurance exercise and acute exercise trainings resulted in an increase in TG and VLDL levels and decrease in LDL level, compared with the control group.
Surface Corrections for Remote Sensing Reflectance in Case 2 Waters of Lake Superior

ABSTRACT We establish the average wavelength dependence for rough-surface reflectance Srs(λ) in Lake Superior and determine its magnitude at any individual site by extrapolating the total reflectance or raw remote sensing reflectance RrsT(λ) measured at the surface to the asymptotic limit of zero scattering where Srs(λ) ≅RrsT(λ). The results show that Srs(λ) differs from the flat-surface Fresnel reflectance of sky radiance used in standard determination of the remote sensing reflectance Rrs(λ) attributed to the scattering of light by particles and molecules in bulk water. In waters containing colored dissolved organic matter (CDOM), Rrs(λ) can be very low and radiometric measurements at ground level can often lead to negative estimates of Rrs(λ) if we assume simple mirror-like reflectance of the sky radiance as the basis for correcting radiometric data for surface reflectance. We examine the differences between Fresnel reflectance and Srs(λ) and estimate the ratio of the concentrations of CDOM versus suspended particles that could produce negative values of Rrs(λ) if assume Fresnel reflectance in calculation of Rrs(λ).
A Large-Scale Comparative Evaluation of IR-Based Tools for Bug Localization

This paper reports on a large-scale comparative evaluation of IR-based tools for automatic bug localization. We have divided the tools in our evaluation into the following three generations: (1) The firstgeneration tools, now over a decade old, that are based purely on the Bag-of-Words (BoW) modeling of software libraries. (2) The somewhat more recent second-generation tools that augment BoW-based modeling with two additional pieces of information: historical data, such as change history, and structured information such as class names, method names, etc. And, finally, (3) The third-generation tools that are currently the focus of much research and that also exploit proximity, order, and semantic relationships between the terms. It is important to realize that the original authors of all these three generations of tools have mostly tested them on relatively small-sized datasets that typically consisted no more than a few thousand bug reports. Additionally, those evaluations only involved Java code libraries. The goal of the present paper is to present a comprehensive large-scale evaluation of all three generations of bug-localization tools with code libraries in multiple languages. Our study involves over 20,000 bug reports drawn from a diverse collection of Java, C/C++, and Python projects. Our results show that the third-generation tools are significantly superior to the older tools. We also show that the word embeddings generated using code files written in one language are effective for retrieval from code libraries in other languages.
Distributed Task Assignment in Multi-Robot Systems based on Information Utility

Most multi-robot systems (MRS) require to coordinate the assignment of tasks to individual robots for efficient missions. Due to the dynamics, incomplete knowledge and changing requirements, the robots need to distribute their local state information within the MRS continuously during the mission. Since communication resources are limited and message transfers may be erroneous, the global state estimated by each robot may become inconsistent. This inconsistency may lead to degraded task assignment and mission performance. In this paper, we explore the effect and cost of communication and exploit information utility for online distributed task assignment. In particular, we model the usefulness of the transferred state information by its information utility and use it for controlling the distribution of local state information and for updating the global state. We compare our distributed, utility-based online task assignment with well-known centralized and auction-based methods and show how substantial reduction of communication effort still leads to successful mission completion. We demonstrate our approach in a wireless communication testbed using ROS2.
ON NON FINITE AXIOMATIZABILITY OF n-MODAL

Let . 2 ω < < n We show that any n{modal logic between n K and n 5 S is not axiomatizable by a set of modal formulas containing finitely many propositional formulas. This is proved algebraically by showing that the corresponding variety of modal algebras, namely, that of diagonal free cylindric algebras of dimension ( ) n n RDf has no equational axiomatization using finitely many variables.
Image Reconstruction of Tablet Front Camera Recordings in Educational Settings

Front camera data from tablets used in educational settings oﬀer valuable clues to student behavior, attention, and aﬀec-tive state. Due to the camera’s angle of view, the face of the student is partially occluded and skewed. This hinders the ability of experts to adequately capture the learning process and student states. In this paper, we present a pipeline and techniques for image reconstruction of front camera recordings. Our setting consists of a cheap and unobtrusive mirror construction to improve the visibility of the face. We then process the image and use neural inpainting to reconstruct missing data in the recordings. We demonstrate the applicability of our setting and processing pipeline on aﬀective state prediction based on front camera recordings (i.e., action units, eye gaze, eye blinks, and movement) during math-solving tasks (active) and emotional stimuli from pictures (passive) shown on a tablet. We show that our setup provides comparable performance for aﬀective state prediction to recordings taken with an external and more obtrusive GoPro camera.
Eva as Periodic Performance Measure for Indian Companies

This study investigates whether Indian companies should implement EVA as Periodic performance measure. It examinesthe explanatory ability of EVA (that is determined on accrual and cash basis) and traditional measures like free cash flow, dividend, RONW, ROCE, PBIDTM, PATM and CR, as well as compares the performance of EVA with all these traditional performance measures. For better exposition, this study considers 370 data years of 69 large cap companies and conducts relative as well as incremental analyses. The results of both analyses reveal that EVA maintains strong association with market value of equity and increases the explanatory ability beyond that is provided by rest of the periodic measures. Thus, this study suggests to implement EVA as periodic performance measure by Indian companies.
MONITORING MEMS SWITCH CLOSURE TIME AS A MEASURE OF RELIABILITY

In this paper we present a novel method for monitoring MEMS switch reliability during lifetime cycle testing. Switch degradation under repeated cycling is measured by monitoring changes in the switch closure time and analysing this data with an energy based dynamic model. The tested MEMS ohmic switches were made of electroplated Au. The results obtained offer the potential to gather data during the switch cycling and to eliminate the need for actuation voltage measurement at pre-defined intervals. The results may also provide data on the evolution of switching characteristics to understand the nature of ohmic MEMS switches failures.
Distributed data and ontologies: An integrated semantic web architecture enabling more efficient data management

Regulatory reporting across multiple jurisdictions is a significant cost for financial services organizations, due to a lack of systems integration (often with legacy systems) and no agreed industry data standards. This article describes the design and development of a novel ontology‐based framework to illustrate how ontologies can interface with distributed data sources. The framework is then tested using a survey instrument and an integrated research model of user satisfaction and technology acceptance. A description is provided of extensions to an industry standard ontology, specifically the Financial Industry Business Ontology (FIBO), towards enabling greater data interchange. Our results reveal a significant reduction in manual processes, increase in data quality, and improved data aggregation by employing the framework. The research model reveals the range of factors that drive acceptance of the framework. Additional interview evidence reveals that the ontological framework also allows organizations to react to regulatory changes with much‐improved timeframes and provides opportunities to test for data quality.