Miracle-dz/UniFAR-FTUs huggingface dataset:
Metastatic Organotropism: An Intrinsic Property of Breast Cancer Molecular Subtypes.

It has long been known that some cancers have the propensity to metastasize to certain organs thus creating a nonrandom distribution of sites for distant relapse, a phenomenon known as "metastatic organotropism. " Some of these examples include ovary primary to abdominal cavity, prostate primary to bone, and pancreas primary to liver. In contrast, other tumor types, such as mammary and renal cell carcinoma, can relapse in multiple organs although approximately half of advanced breast cancers metastasize to bone. On the other hand gene expression profiling studies have identified various breast cancer classes with prognostic significance. Recent studies have revealed that breast cancer subtypes differ not only in primary tumor characteristics but also in their metastatic behavior. In particular, the luminal tumors are remarkable for their significant bone-seeking phenotype; the HER2 subtype demonstrates a significant liver-homing characteristic; whereas so-called triple-negative breast cancers predispose to lung metastases. These findings suggest that this knowledge could potentially be utilized in the development of effective disease surveillance strategies in the pursuit of precision medicine, thus necessitating further investigation.
A Comprehensive Survey on various Feature Selection Methods to Categorize Text Documents

Feature selection is one of the well known solution to high dimensionality problem of text categorization. In text categorization, selection of good features (terms) plays a very important role. Feature selection is a strategy that can be used to improve categorization accuracy, effectiveness and computational efﬁciency. This paper presents an empirical study of most widely used feature selection methods viz. Term Frequency-Inverse Document Frequency ( tf · idf ), Information Gain (IG), Mutual Information(MI), CHI-Square ( χ 2 ) , Ambiguity Measure (AM), Term Strength (TS), Term Frequency-Relevance Frequency ( tf · rf ) and Symbolic Feature Selection (SFS) with ﬁve different classiﬁers (Nave Bayes, K-Nearest Neighbor, Centroid Based Classiﬁer, Support Vector Machine and Symbolic Classiﬁer). Experimentations are carried out on standard bench mark datasets like Reuters-21578, 20-Newsgroups and 4 University dataset.
The worst-case execution-time problem—overview of methods and survey of tools

The determination of upper bounds on execution times, commonly called worst-case execution times (WCETs), is a necessary step in the development and validation process for hard real-time systems. This problem is hard if the underlying processor architecture has components, such as caches, pipelines, branch prediction, and other speculative components. This article describes different approaches to this problem and surveys several commercially available tools1 and research prototypes.
Electrical Impedance Tomography

Electrical impedance tomography (EIT) is an imaging modality that estimates the electrical properties at the interior of an object from measurements made on its surface. Typically, currents are injected into the object through electrodes placed on its surface, and the resulting electrode voltages are measured. An appropriate set of current patterns, with each pattern specifying the value of the current for each electrode, is applied to the object, and a reconstruction algorithm uses knowledge of the applied current patterns and the measured electrode voltages to solve the inverse problem, computing the electrical conductivity and permittivity distributions in the object. This article focuses on the type of EIT called adaptive current tomography (ACT) in which currents are applied simultaneously to all the electrodes. A number of current patterns are applied, where each pattern defines the current for each electrode, and the subsequent electrode voltages are measured to generate the data required for image reconstruction. A ring of electrodes may be placed in a single plane around the object, to define a two-dimensional problem, or in several layers of such rings, to define a three-dimensional problem. The reconstruction problem is described and two algorithms are discussed, a one-step, two-dimensional (2-D) Newton-Raphson algorithm and a one-step, full three-dimensional (3-D) reconstructor. Results from experimental data are presented which illustrate the performance of the algorithms.
On the induced matching problem in hamiltonian bipartite graphs

Abstract In this paper, we study the parameterized complexity of the induced matching problem in hamiltonian bipartite graphs and the inapproximability of the maximum induced matching problem in hamiltonian bipartite graphs. We show that, given a hamiltonian bipartite graph, the induced matching problem is W[1]-hard and cannot be solved in time n o ⁢ ( k ) {n^{o(\sqrt{k})}} , where n is the number of vertices in the graph, unless the 3SAT problem can be solved in subexponential time. In addition, we show that unless NP = P {\operatorname{NP}=\operatorname{P}} , a maximum induced matching in a hamiltonian bipartite graph cannot be approximated within a ratio of n 1 / 4 - ϵ {n^{1/4-\epsilon}} , where n is the number of vertices in the graph.
Radiation hard ceramic RPC development

We report recent advances in R&D on the Beam Fragmentation and T0 Counter (BFTC) for the CBM experiment, based on RPCs with floating electrodes made of resistive ceramic material. An optimal value of the ceramics bulk resistivity has been determined to be about 5·109 Ω·cm. RPCs with such electrodes show even characteristics and stable operation under particle fluxes of up to 150 kHz/cm2, with the detection efficiency above 90%.
Persistent neuropathic pain after inguinal herniorrhaphy depending on the procedure (open mesh v. laparoscopy): a propensity-matched analysis.

BACKGROUND A greater incidence of persistent pain after inguinal herniorrhaphy is suspected with the open mesh procedure than with laparoscopy (transabdominal preperitoneal), but the involvement of neuropathy needs to be clarified. METHODS We examined the cumulative incidence of neuropathic persistent pain, defined as self-report of pain at the surgical site with neuropathic aspects, within 6 months after surgery in 2 prospective subcohorts of a multicentre study. We compared open mesh with laparoscopy using different analysis, including a propensity-matched analysis with the propensity score built from a multivariable analysis using a generalized linear model. RESULTS Considering the full patient sample (242 open mesh v. 126 laparoscopy), the raw odds ratio for neuropathic persistent pain after inguinal herniorrhaphy was 4.3. It reached 6.8 with the propensity-matched analysis conducted on pooled subgroups of 194 patients undergoing open mesh and 125 undergoing laparoscopy (95% confidence interval 1.5-30.4, p = 0.012). A risk factor analysis of these pooled subgroups revealed that history of peripheral neuropathy was an independent risk factor for persistent neuropathic pain, while older age was protective. CONCLUSION We found a greater risk of persistent pain with open mesh than with laparoscopy that may be explained by direct or indirect lesion of nerve terminations. Strategies to identify and preserve nerve terminations with the open mesh procedure are needed.
Vibration testing of impact-damaged composite laminates

Summary A new test is described that can be used to measure changes in the vibration properties of impact-damaged composite materials. Impact-induced delamination was observed to signif- icantly affect natural frequencies of vibration and damping properties in cross-ply graphite/epoxy laminates. Natural frequencies are shown to drop by as much as half of their original value, and modal damping ratios can increase by a factor of up to eight when large amounts of damage are present. A simple finite-element model of the damaged impact specimens was used to predict the effect of delamination on certain vibration properties. A comparison of the finite-element calculations with the experimental measurements suggests that delamination was the dominant mechanism of flexural stiffness loss resulting from the transverse impact. Introduction Efficient use of advanced composite materials requires that in-service structural components be able to retain their structural integrity even if they contain internal flaws or defects of some nominal size. In composite materials, such flaws can result from fatigue, periodic overloading, or even impact during normal use; or they can be inadvertently introduced during the fabrication process. Localized impact damage usually occurs because of high local stresses near the point of contact with the projectile. However, as shown in figure
Transferable videorealistic speech animation

Image-based videorealistic speech animation achieves significant visual realism at the cost of the collection of a large 5- to 10-minute video corpus from the specific person to be animated. This requirement hinders its use in broad applications, since a large video corpus for a specific person under a controlled recording setup may not be easily obtained In this paper, we propose a model transfer and adaptation algorithm which allows for a novel person to be animated using only a small video corpus. The algorithm starts with a multidimensional morphable model (MMM) previously trained from a different speaker with a large corpus, and transfers it to the novel speaker with a much smaller corpus. The algorithm consists of 1) a novel matching-by-synthesis algorithm which semi-automatically selects new MMM prototype images from the new video corpus and 2) a novel gradient descent linear regression algorithm which adapts the MMM phoneme models to the data in the novel video corpus. Encouraging experimental results are presented in which a morphable model trained from a performer with a 10-minute corpus is transferred to a novel person using a 15-second movie clip of him as the adaptation video corpus.
Where do you want to use a robotic arm? And what do you want from the robot?

What will users want from robotic arms when they become part for their daily lives? We conducted an online survey to collect ideas from people about the “places” in which they would want to use a robotic arm and “tasks” that they would want the robot arm to perform. 96 people anonymously volunteered to participate in this study. More than 240 sets of place and task were identified in the results of two versions of the web-based questionnaires. The results suggest that the household, workplace, and working surface are, respectively, the three most-mentioned places for robotic arm usage in daily life, that participants who were from different countries but were familiar with information technology did not show significant differences in their answers, and that females showed more interest in household and self-care tasks. Our findings can be used as a guideline for future research and development that focuses on daily life tasks for robotic arms.
FDA Advisory Meeting Clinical Pharmacology Review Utilizes a Quantitative Systems Pharmacology (QSP) Model: A Watershed Moment?

In the evolving discipline of quantitative systems pharmacology (QSP), QSP model (QSPM) applications are expanding. Recently, a QSPM was used by US Food and Drug Administration (FDA) clinical pharmacologists to evaluate the appropriateness of a proposed dosing regimen for a new biologic. This application expands the use‐horizon for QSPMs into the regulatory domain. Here we retrace the evolution of the model and suggest a question‐based approach to directing model scope, identifying applications, and understanding overall QSPM value.
Quantification of nitric oxide synthase activity in microdissected segments of the rat kidney.

This study was designed to quantify nitric oxide synthase (NOS) activity in microdissected glomeruli (Glm), pars convoluta, pars recta, cortical collecting duct, cortical thick ascending limb, outer medullary collecting duct, medullary thick ascending limb and thin limb, inner medullary collecting duct (IMCD) and thin limb, and vasa recta (VR). Total protein from microdissected segments was incubated withl-[3H]arginine and appropriate cofactors, and thel-arginine and convertedl-citrulline were separated by reverse-phase HPLC and radiochemically quantitated. NOS activity was found to be greatest in IMCD (11.5 ± 1.0 fmol citrulline ⋅ mm-1 ⋅ h-1) and moderate in Glm (1.9 ± 0.3 fmol ⋅ glomerulus-1 ⋅ h-1) and VR (3.2 ± 0.8 fmol ⋅ mm-1 ⋅ h-1). All other renal structures studied exhibited significantly less NOS activity. The mRNA for NOS isoforms in the NOS activity-positive segments was then identified by RT-PCR. The IMCD contained mRNA for neuronal (nNOS), endothelial (eNOS), and inducible NOS (iNOS), but Glm and VR only expressed the mRNA for nNOS and eNOS. These experiments demonstrate that the greatest enzymatic activity for NO production in the kidney is in the IMCD, three- to sixfold less activity is present in the Glm and VR, and minimal NOS activity is found in other segments studied.
Rice-Planted Area Mapping Using Small Sets of Multi-Temporal SAR Data

A rice-planted area map is a basic information resource for rice production management. Synthetic aperture radar (SAR) is an appropriate technique for rice mapping and so far is mostly based on extracting time series changes of backscattering (σ0) in a rice-planted area. However, sometimes there is not enough data to extract the σ0 curve for the area. To overcome this problem of a lack of data, we propose a method to detect rice-planted area by using small sets of multi-temporal SAR data. This method also addresses the fluctuation of σ0 values between SAR measurements. We have applied the method using multi-temporal ALOS/PALSAR data acquired over five years during the dry season. The rice-planted area was well detected and the viability of this method was demonstrated.
Eulerian Model For The Prediction Of NucleateBoiling Of Refrigerant In Heat Exchangers

In this article, a boiling model for “Fluent 6” fluid flow simulation software, for its use in gas-liquid heat exchangers, is presented. After a thorough study of existing bibliographies, a physical model has been compiled, which has been incorporated into the eulerian multiphase model, the most suitable of those available in Fluent for the resolution of these kinds of multiphase flows. Also discussed are some of the aspects of the implementation, which basically consist of the modeling of the interactions between phases as source terms in the governing equations solved by Fluent. Finally, the implementation of the model has been validated against experimental tests from the available literature, achieving a satisfactory degree of concordance.
Robust Fuzzy Extractors and Authenticated Key Agreement From Close Secrets

Consider two parties holding samples from correlated distributions <formula formulatype="inline"> <tex Notation="TeX">$W$</tex></formula> and <formula formulatype="inline"><tex Notation="TeX">$W^{\prime}$</tex></formula>, respectively, where these samples are within distance <formula formulatype="inline"><tex Notation="TeX">$t$</tex></formula> of each other in some metric space. The parties wish to agree on a close-to-uniformly distributed secret key <formula formulatype="inline"> <tex Notation="TeX">$R$</tex></formula> by sending a single message over an insecure channel controlled by an all-powerful adversary who may read and modify anything sent over the channel. We consider both the keyless case, where the parties share no additional secret information, and the keyed case, where the parties share a long-term secret <formula formulatype="inline"><tex Notation="TeX">${\ssr SK}_{\ssr Ext}$</tex></formula> that they can use to generate a sequence of session keys <formula formulatype="inline"><tex Notation="TeX">$\{R_{j}\}$</tex></formula> using multiple pairs <formula formulatype="inline"> <tex Notation="TeX">$\{(W_{j}, W^{\prime}_{j})\}$</tex></formula>. The former has applications to, e.g., biometric authentication, while the latter arises in, e.g., the bounded-storage model with errors. We show solutions that improve upon previous work in several respects. <orderedlist numeration="arabic" continuation="restarts" posttext=")"> <listitem><para>The best prior solution for the keyless case with no errors (i.e., <formula formulatype="inline"><tex Notation="TeX">$t=0$</tex></formula>) requires the min-entropy of <formula formulatype="inline"><tex Notation="TeX">$W$</tex> </formula> to exceed <formula formulatype="inline"><tex Notation="TeX">$2n/3$</tex> </formula>, where <formula formulatype="inline"><tex Notation="TeX">$n$</tex> </formula> is the bit length of <formula formulatype="inline"><tex Notation="TeX">$W$</tex> </formula>. Our solution applies whenever the min-entropy of <formula formulatype="inline"> <tex Notation="TeX">$W$</tex></formula> exceeds the minimal threshold <formula formulatype="inline"><tex Notation="TeX">$n/2$</tex></formula>, and yields a longer key.
Automatic Program Improvement: Variable Usage Transformations

The design objective of the Leeds Transformation System is to transform existing programs, written in a variety of languages, into "tidier" programs. The total system was conceived of as having three phases: syntactic transformations, variable usage transformations, and synthesizing features. Because programmers vary greatly in what they consider to be a more acceptable form, we have aimed to make the system as data driven as possible. (That also enables us to deal with a variety of programming languages.) The paper reviews the first two phases, reports the second in some detail, and illustrates the use of the system on an ALGOL 60 program. Redundant assignments, redundant variables, and loop-invariant statements are discovered by means of a novel approach which represents variable usage within a program as a correspondence matrix. Potential enhancements of the system are also discussed.
Dominant, open nonverbal displays are attractive at zero-acquaintance

Significance This set of studies tested whether humans are more attracted to individuals displaying their bodies expansively, a behavior considered to express both dominance and openness. Results from two field studies—a speed-dating event and a controlled experiment using a Global Positioning System-based dating application—suggested that (i) expansive (vs. contractive) body posture increases one’s romantic desirability; (ii) these results are consistent across gender; and (iii) perceived dominance and perceived openness are mechanisms through which expansiveness exerts its effect. These findings indicate that in modern-day dating contexts, in which initial attraction often is determined by a rapid decision following a brief interaction or seeing a photograph, displays of expansive posture increase one’s chances of initial romantic success. Across two field studies of romantic attraction, we demonstrate that postural expansiveness makes humans more romantically appealing. In a field study (n = 144 speed-dates), we coded nonverbal behaviors associated with liking, love, and dominance. Postural expansiveness—expanding the body in physical space—was most predictive of attraction, with each one-unit increase in coded behavior from the video recordings nearly doubling a person’s odds of getting a “yes” response from one’s speed-dating partner. In a subsequent field experiment (n = 3,000), we tested the causality of postural expansion (vs. contraction) on attraction using a popular Global Positioning System-based online-dating application. Mate-seekers rapidly flipped through photographs of potential sexual/date partners, selecting those they desired to meet for a date. Mate-seekers were significantly more likely to select partners displaying an expansive (vs. contractive) nonverbal posture. Mediation analyses demonstrate one plausible mechanism through which expansiveness is appealing: Expansiveness makes the dating candidate appear more dominant. In a dating world in which success sometimes is determined by a split-second decision rendered after a brief interaction or exposure to a static photograph, single persons have very little time to make a good impression. Our research suggests that a nonverbal dominance display increases a person’s chances of being selected as a potential mate.
Oil-dispersed pH-responsive particle as Pickering emulsifiers

In this work, the oil-dispersed polydimethylsiloxane (PDMS) sterically stabilised poly(Methl Methacrylate-2Vinyl Pyridine) p(MMA-2-VP) particles are investigated for use as Pickering emulsifiers with varied emulsification conditions (pH, particle concentrations and oil-water volume ratios) and their adsorption behaviours on 2-Dimensional curved oil-water interface. These particles are synthesised by dispersion polymerisation in dodecane and their particle content can be controlled by varying the initial MMA: 2-VP ratio (uncrosslinked particles with varied MMA-2-VP ratio in particle cores) and crosslinker concentrations (cross-linked particles with constant initial MMA-2-VP ratio). Transitional phase inversion from w/o to o/w emulsions which are stabilised by oil-dispersed p(MMA-2-VP)-PDMS particles is induced by tuning pH from 6 to 2 in aqueous phase, regardless of particle concentrations. It is the first time reported of such phase inversion in emulsions stabilised with responsive emulsifiers by responding to the relevant environmental trigger. This phenomenon occurs only in the emulsion systems that prepared in the presence of such oil-dispersed particles containing more than 62% p2-VP in cores. The particles which synthesised with 5 mol% (respect to monomer concentration) cross-linkers can stabilise most stable emulsions than others, in particular the o/w emulsion, no released oil can be observed after 10 months preparation. Pickering emulsions are also prepared by changing the oil-water volume ratio under different pHs. Catastrophic emulsion phase inversion from single emulsions to multiple emulsions are observed under certain experimental conditions, indicating that such phenomenon is not only controlled by increased dispersed phase fraction in emulsion systems but also governed by the proton concentration/quantity in aqueous phase. The o/w high internal phase emulsion gels are stabilised by such oil-dispersed pH responsive particles which synthesised with 5 mol% (respect to monomer concentration) cross-linkers at pH 2 with 70 vol% oil phase. Eventually, the measurement of interfacial tension as a function of time in the presence of varied concentrations of oil-dispersed pH responsive particles are performed basing on a pendant drop method. Oil-dispersed pH responsive particles are more interfacially active at uncharged state than charged state. The adsorption coefficient value is large at charged state (pH2) than uncharged state (pH 6), implying the fact that such particle stabilised emulsion properties are governed mainly by their adsorption kinetics
On a User-Centric Base Station Cooperation Scheme for Reliable Communications

In this paper, we describe CoMP2flex, a user-centric base station (BS) cooperation scheme that provides improvements in reliability of both uplink (UL) and downlink (DL) communications of wireless cellular networks. CoMP2flex supports not only cooperation of two BSs with same direction of traffic but also cooperation of two BSs serving bidirectional traffic. The reliability performance of CoMP2flex is shown with numerical simulations and analytical expressions. We quantify and numerically validate the performance of the greedy BS pairing algorithm by comparing maximum weight matching methods, implemented as the Edmonds matching algorithm for weighted graphs.