Miracle-dz/UniFAR-FTUs huggingface dataset:
Residual q-Fano Planes and Related Structures

One of the most intriguing problems, in $q$-analogs of designs, is the existence question of an infinite family of $q$-analog of Steiner systems, known also as $q$-Steiner systems, (spreads not included) in general, and the existence question for the $q$-analog of the Fano plane, known also as the $q$-Fano plane, in particular. These questions are in the front line of open problems in block design. There was a common belief and a conjecture that such structures do not exist. Only recently, $q$-Steiner systems were found for one set of parameters. In this paper, a definition for the $q$-analog of the residual design is presented. This new definition is different from previous known definition, but its properties reflect better the $q$-analog properties. The existence of a design with the parameters of the residual $q$-Steiner system in general and the residual $q$-Fano plane in particular are examined. We prove the existence of the residual $q$-Fano plane for all $q$, where $q$ is a prime power. The constructed structure is just one step from a construction of a $q$-Fano plane.
High, low, or familiar? Nest site preferences of experienced laying hens

ABSTRACT 1. The aim of this study was to investigate which nest heights are preferred by laying hens in the absence of familiar nest locations and whether preferred nest heights are more attractive than a familiar location. In two experiments, a total of 108 hens of four different layer breeds, which were at least 50 weeks of age, were studied. 2. In the first experiment, hens were given individual free choice between nests for 1-week at four different heights (0 cm, 39 cm, 78 cm, and 117 cm above ground). Hens of the four breeds differed in their nest height preferences (P = 0.0013). However, hens of three breeds preferred ground level nests (P < 0.007) and the fourth line showed an equal preference for the ground level and level three, the latter level corresponding to the height of the nests in their home compartments. 4. In the second experiment, hens from the four breeds were given a choice between ground level nests and nests at a familiar location, i.e. at the same location as in their home compartment. Hens of all strains preferred the familiar nest location (P = 0.002) and preferences did not differ between strains (P = 0.77). 5. Laying hens seem to prefer nests at ground level in the absence of a familiar nest. However, if possible, experienced 50 week old hens continue to use a familiar nest location instead of a ground nest location. The results are discussed with respect to a potential primary preference that may be modifiable by experience and with respect to possible relevance in commercial housing.
Introduction to GPU Programming with GLSL

One of the challenging advents in Computer Science in recent years was the fast evolution of parallel processors, specially the GPU – graphics processing unit. GPUs today play a major role in many computational environments, most notably those regarding real-time graphics applications, such as games. The digital game industry is one of the main driving forces behind GPUs, it persistently elevates the state-of-art in Computer Graphics, pushing outstanding realistic scenes to interactive levels. The evolution of photo realistic scenes consequently demands better graphics cards from the hardware industry. Over the last decade, the hardware has not only become a hundred times more powerful, but has also become increasingly customizable allowing programmers to alter some of previously fixed functionalities. This tutorial is an introduction to GPU programming using the OpenGL Shading Language – GLSL. It comprises an overview of graphics concepts and a walk-through the graphics card rendering pipeline. A thorough understanding of the graphics pipeline is extremely important when designing a program in GPU, known as a shader. Throughout this tutorial, the exposition of the GLSL language and GPU programming details are followed closely by examples ranging from very simple to more practical applications. It is aimed at an audience with no or little knowledge on the subject.
Gastric cancer treated with pressurized intraperitoneal aerosol chemotherapy: revising an option for peritoneal carcinomatosis

Aim: Gastric cancer is the cancer with the highest rate of peritoneal metastization and this type of spread is associated with a higher death rate compared to distant organ metastasis. The systemic chemotherapy has a minimal effect in peritoneal metastasis so new types of treatment have emerged. The authors revised the main studies done in pressurized intraperitoneal aerosol chemotherapy (PIPAC) and presented the main conclusions. Methods: A PubMed search was conducted focusing on PIPAC in gastric cancer. The MeSH database was searched with the terms: “Gastric cancer [MeSH] and intraperitoneal aerosol chemotherapy”. Results: Seven studies were analyzed. All the studies performed the technique with aerosol of doxorubicin and cisplatin. All cases were well tolerated, with minor adverse effects. Patients presented resolution of their abdominal symptoms and regression of macroscopic carcinomatosis. Cytoreductive surgery or hypertermic intraperitoneal chemotherapy could be performed in some patients with good response to PIPAC. The peritonitis caused by the chemotherapy was well tolerated. Conclusion: PIPAC can induce remission in end-stage and resistant disease with acceptable side effects, good safety levels for patients and health professionals, and quality of life improvement.
Voice Cascade on Social Media 1

A voice cascade is a sudden increase in the number of publicly expressed opinions related to a particular event. Over the past decade, social media has given almost everyone unprecedented power to widely distribute their opinions, making voice cascade on social media a phenomenon that is not only scientifically interesting but also practically relevant, especially for potential stakeholders such as firms, governments, and celebrities. In this first paper on voice cascade, I propose Seasonally Adjusted Gamma Aftershocks, or SAGA in short, to model how such a phenomenon unfolds over time so that we can better understand its underlying mechanism. There are two key ingredients of the model. The first one describes the stochastic arrival of voices that would have occurred in the absence of any influence from previous voices. The second component models the temporal shape of influence, which specifies how each voice alters the arrival process of future voices over time. Together, they form the core of the SAGA model and offer a flexible framework to understand the evolution of a voice cascade. Using data from a recent voice cascade on Twitter, I conduct several tests to evaluate the validity of the SAGA model, the results of which show great promise of this new modeling framework.
Message Passing Parallel Inplace Access Processor Stylus Server Coordinator Query Plan Stylus Server Intermediate Result Stylus Server Metadata Stylus Server

RDF is one of the most commonly used knowledge representation forms. Many highly influential knowledge bases, such as Freebase and PubChemRDF, are in RDF format. An RDF data set is usually represented as a collection of subject-predicate-object triples. Despite the flexibility of RDF triples, it is challenging to serve SPARQL queries on RDF data efficiently by directly managing triples due to the following two reasons. First, heavy joins on a large number of triples are needed for query processing, resulting in a large number of data scans and large redundant intermediate results; Second, weakly-typed triple representation provides suboptimal random access – typically with logarithmic complexity. This data access challenge, unfortunately, cannot be easily met by a better query optimizer as large graph processing is extremely I/O-intensive. In this paper, we argue that strongly-typed graph representation is the key to high-performance RDF query processing. We propose Stylus – a strongly-typed store for serving massive RDF data. Stylus exploits a strongly-typed storage scheme to boost the performance of RDF query processing. The storage scheme is essentially a materialized join view on entities, it thus can eliminate a large number of unnecessary joins on triples. Moreover, it is equipped with a compact representation for intermediate results and an efficient graphdecomposition based query planner. Experimental results on both synthetic and real-life RDF data sets confirm that the proposed approach can dramatically boost the performance of SPARQL query processing. PVLDB Reference Format: Liang He, Bin Shao, Yatao Li, Huanhuan Xia, Yanghua Xiao, Enhong Chen, Liang Jeff Chen. Stylus: A Strongly-Typed Store for Serving Massive RDF Data. PVLDB, 11(2): xxxx-yyyy, 2018. DOI: 10.14778/3149193.3149200 ∗This work was done in Microsoft Research Asia. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Articles from this volume were invited to present their results at The 44th International Conference on Very Large Data Bases, August 2018, Rio de Janeiro, Brazil. Proceedings of the VLDB Endowment, Vol. 11, No. 2 Copyright 2017 VLDB Endowment 2150-8097/17/10. $ 10.00. DOI: 10.14778/3149193.3149200
Learning with only the relevant features

In real-world concept-learning problems, the representation of data often uses many features, only a few of which may be related to the target concept. In this situation, the selection of relevant features becomes important for achieving high performance of a learning algorithm. A feature selection method based on tests has been introduced and its effectiveness in achieving high recognition rates has been shown (a test is a set of features that is sufficient to distinguish patterns from different classes of training samples). We show that the notion of a test is directly related to the notion of relevant attributes. We prove that prime tests represent sets of irredundant relevant features, and emphasize the importance of the test notion. We describe a way of selecting all relevant features from training examples, and possible ways to identify relevant features of the target concept. The empirical results show the effectiveness of the proposed method on real databases.
THREE-DIMENSIONAL NUMERICAL FLOW SIMULATION OF RESIN TRANSFER MOLDING PROCESS WITH DRAPING ANALYSIS

In this paper, the numerical flow simulation of thermoset materials in resin transfer molding (RTM) process with draping analysis is described. It gives an introduction, theory and methods of analysis for the flow and draping. Then, two example cases are shown. One is a simple case where the accuracy of the solution can be checked against analytical solutions. Another is the case where the effect of using draping analysis in the RTM flow simulation is shown. The simulation results in this study are in good agreement with analytical solutions where analytical solutions are available. They also verify the significance of considering draping analysis results in RTM flow simulations.
Cylindrospermopsin toxicity in mice following a 90-d oral exposure

ABSTRACT Cylindrospermopsin (CYN) is a toxin associated with numerous species of freshwater cyanobacteria throughout the world. It is postulated to have caused an episode of serious illnesses in Australia through treated drinking water, as well as lethal effects in livestock exposed to water from farm ponds. Toxicity included effects indicative of both hepatic and renal dysfunction. In humans, symptoms progressed from initial hepatomegaly, vomiting, and malaise to acidosis and hypokalemia, bloody diarrhea, and hyperemia in mucous membranes. Laboratory animal studies predominantly involved the intraperitoneal (i.p.) route of administration and confirmed this pattern of toxicity with changes in liver enzyme activities and histopathology consistent with hepatic injury and adverse renal effects. The aim of this study was designed to assess subchronic oral exposure (90 d) of purified CYN from 75 to 300 µg/kg/d in mouse. At the end of the dosing period, examinations of animals noted (1) elevated organ to body weight ratios of liver and kidney at all dose levels, (2) treatment-related increases in serum alanine aminotransferase (ALT) activity, (3) decreased blood urea nitrogen (BUN) and cholesterol concentrations in males, and (4) elevated monocyte counts in both genders. Histopathological alterations included hepatocellular hypertrophy and cord disruption in the liver, as well as renal cellular hypertrophy, tubule dilation, and cortical tubule lesions that were more prominent in males. A series of genes were differentially expressed including Bax (apoptosis), Rpl6 (tissue regeneration), Fabp4 (fatty acid metabolism), and Proc (blood coagulation). Males were more sensitive to many renal end points suggestive of toxicity. At the end of exposure, toxicity was noted at all dose levels, and the 75 µg/kg group exhibited significant effects in liver and kidney/body weight ratios, reduced BUN, increased serum monocytes, and multiple signs of histopathology indicating that a no-observed-adverse-effect level could not be determined for any dose level.
Development of 4 order optimized debye model for the human head tissues at the sub-1GHz

The development of a fourth order Debye model for the dispersive human head tissues is presented. The model is optimized to fit the measured head tissues over the frequency range between 0.1 to 1 GHz. This frequency band has been increasingly utilized for the wireless power transfer (WPT) for battery-less implantable medical devices (IMDs) using inductive/capacitive coupling and far field radiation. The presented model shows more accurate fitting when compared with the conventional fourth order Cole-Cole model. Therefore, the model can serve as a proper candidate to mimic the dispersive tissues for accurate simulations of WPT and IMDs.
A video stabilization algorithm based on affine SIFT

Electronic image stabilization (EIS) is an important video enhancement technology which aims at removing annoying random jitter from videos. At present, the commonly EIS algorithm is to filter the feature trajectory, such as Kalman filter and Median filter. However, the filtered trajectories of these methods are greatly deviated from the original trajectory, and the images often lose large information after being stabilized. This paper uses affine SIFT (ASIFT) feature matching method to get the best estimating the affine matrix, then Gaussian low-pass filtering of the original path can compensate for the motion of the smoothed path, then the jitter frame is stabilized. Compared with Kalman filter, the experiments show that Gaussian filter better retains the camera active motion, stabilized video sequences lost less pixel information.
Construction and Applications of TeKnowbase: A Knowledge Base of Computer Science Concepts

In this paper, we make two main contributions. First, we describe the construction and evaluation of TeKnowbase, a knowledge-base of technical concepts in computer science. And second, we show how to use TeKnowbase in a variety of applications, including, generation of pre-requisite concepts for learning a new topic, classification of technical text and querying and ranking computer science articles.
File Systems for Various Operating Systems: A Review

The hardware and software both technologies are getting advanced, there are changes being introduced everyday. Therefore the storage techniques are needed to be updated for these changes to be compatible and for efficient utilization. A plethora of storage techniques or file systems have been introduced. A survey of these file systems is presented here in this study, which covers the purpose, working, advantage and limitations of the included file systems
Conceptualizing the mentoring relationship: An appraisal of evidence

This paper appraises the conceptual development of mentoring in nursing and highlights the need for further research on mentoring that focuses on conceptual clarification and theoretical discovery. Despite an abundance of published articles on mentoring, a paucity of research studies on nurse-to-nurse mentoring exists. Nursing literature abounds with descriptive terminology about mentoring rather than explanatory research. Descriptive terminology does little to develop the concept of mentoring, leaving one to ponder how to implement mentoring relationships in nursing. Published research has primarily focused on two broad categories: mentor characteristics and mentoring relationship outcomes. Although numerous scholars have asserted the need to clearly conceptualize mentoring, limited research focus has contributed to an ambiguous understanding of mentoring. Research that clarifies mentoring as a concept and provides a theoretical explanation of the mentoring relationship will fill a long-standing gap in the literature.
The friction of a mesh-like super-hydrophobic surface

When a liquid droplet is located above a super-hydrophobic surface, it only barely touches the solid portion of the surface, and therefore slides very easily on it. More generally, super-hydrophobic surfaces have been shown to lead to significant reduction in viscous friction in the laminar regime, so it is of interest to quantify their effective slipping properties as a function of their geometric characteristics. Most previous studies considered flows bounded by arrays of either long grooves, or isolated solid pillars on an otherwise flat solid substrate, and for which therefore the surrounding air constitutes the continuous phase. Here we consider instead the case where the super-hydrophobic surface is made of isolated holes in an otherwise continuous no-slip surface, and specifically focus on the mesh-like geometry recently achieved experimentally. We present an analytical method to calculate the friction of such a surface in the case where the mesh is thin. The results for the effective slip length o.
Leadership Contestability, Monopolistic Rents and Growth

I construct an endogenous growth model where R&D is carried out at the industry level in a game of innovation between leaders and followers. Innovation costs for followers are assumed to increase with the technological lag from leaders. We obtain three results that contrast with standard Schumpeterian models, such as Aghion and Howitt (1992). First, leaders may innovate in equilibrium, in an attempt to force followers out of the innovation game. Second, policies (such as patents) that allow for strong protections of monopolies can reduce the steady state growth rate of the economy. Third, multiple equilibria arise when monopolies' protection is large.
Clinicopathological study of adult renal tumours

Introduction: A wide variety of both benign and malignant tumours arise from different components of the renal parenchyma, notably tubular epithelium. Prognostic markers for Renal cell carcinoma such as tumor stage, grade and necrosis are useful for determining appropriate follow-up and selecting patients for adjuvant therapy. We undertook this study to determine the relative frequencies of different types of adult renal tumours, their clinical, radiological, gross morphological and histopathological features. Our second objective was to evaluate these pathological variables and to establish possible correlations between them. Materials and Methods: A Total of 60 Cases of adult renal neoplasms diagnosed at our institute from June 2007 to June 2014 were reviewed. Age, sex, histologic subtype, pT stage, Fuhrman grade, tumor necrosis were determined in all cases. Results: Among 60 patients, 36 were males and 24 were females. Mean age was 46.5 years. 83.3% tumours were malignant and 16.67%, benign. Among malignant tumours, Renal cell carcinoma (RCC) was the commonest(78.3%). Various subtypes of RCC included: conventional/clear cell RCC (73.2%); papillary, (14.6%); chromophobe (2.4%) and RCC unclassified (1.66%). Other malignant tumours were: leiomyosarcoma (1.66%); spindle cell sarcoma (1.66%); primitive neuroectodermal tumour(1.66%). Benign renal tumours included Angiomyolipoma(10%), oncocytoma(1.66%); metanephric adenoma(1.66%) and renomedullary interstitial tumour (1.66%). Conclusions: RCC was the commonest malignant tumor and conventional/clear cell RCC was the most common subtype. Most of the cases in our study were in grade 2 and stage pT3. Papillary RCC was second most common subtype.Tumor necrosis correlates with higher grade and tumor stage. Key Words: Renal cell carcinoma, Furhman nuclear grade, Leiomyosarcoma, renomedullary interstitial tumour, Primitive neuroectodermal tumour
Anchor-free indoor localization based on floor plan

Anchor-free indoor localization technique is very attractive in disaster relief applications because it does not need any anchors. However, the existing anchor-free localization methods have limited performance since they do not consider positioning error from indoor walls and high mobility of nodes. In this paper, we propose an RSSI-based indoor anchor-free localization scheme, which utilizes pre-surveyed data on target area to reduce localization error caused by the walls. First, we propose a heuristic localization scheme based on weighted subgraph matching algorithm, which matches the reported RSSI values from nodes with the pre-surveyed data. Then, we determine expected region of nodes with the reported speed values from nodes so as to realize localization for a node with high mobility. Furthermore, we utilize the recursive location filtering method that estimated locations outside the expected region are filtered out, which ensures robust and fast localization. The simulation results show that, compared with other techniques not utilizing anchors, the proposed scheme significantly improves the localization accuracy and reduces the time to find locations of all nodes.
Search for useful tools: biomarkers in lupus nephritis

Iris J Lee† & Michael P Madaio †Author for correspondence Temple University School of Medicine, Section of Nephrology & Kidney Transplantation, 3322 North Broad Street, MOB, 1st Floor, Philadelphia, PA 19140, USA Tel. : +1 215 707 9171; Fax: +1 215 707 9697; iris.lee@tuhs.temple. edu ‘For lupus nephritis, the critical issues at stake include identifying those patients at risk for flare, progressive nephritis and development of end-stage renal disease’
Anti‐mitotic activity of colchicine and the structural basis for its interaction with tubulin

In this review, an attempt has been made to throw light on the mechanism of action of colchicine and its different analogs as anti‐cancer agents. Colchicine interacts with tubulin and perturbs the assembly dynamics of microtubules. Though its use has been limited because of its toxicity, colchicine can still be used as a lead compound for the generation of potent anti‐cancer drugs. Colchicine binds to tubulin in a poorly reversible manner with high activation energy. The binding interaction is favored entropically. In contrast, binding of its simple analogs AC or DAAC is enthalpically favored and commences with comparatively low activation energy. Colchicine–tubulin interaction, which is normally pH dependent, has been found to be independent of pH in the presence of microtubule‐associated proteins, salts or upon cleavage of carboxy termini of tubulin. Biphasic kinetics of colchicines–tubulin interaction has been explained in light of the variation in the residues around the drug‐binding site on β‐tubulin. Using the crystal structure of the tubulin–DAMAcolchicine complex, a detailed discussion on the pharmacophore concept that explains the variation of affinity for different colchicine site inhibitors (CSI) has been discussed. © 2007 Wiley Periodicals, Inc. Med Res Rev, 28, No. 1, 155–183, 2008