Miracle-dz/UniFAR-FTUs huggingface dataset:
Solitary Fibrous Tumor of the Spinal Cord: Case Report and Review of the Literature

OBJECTIVE AND IMPORTANCE:A solitary fibrous tumor (SFT) is a rare neoplasm of probable mesenchymal origin that was first reported in the pleura but can occur in different sites. Only six cases of SFT arising from the spinal cord have been reported. CLINICAL PRESENTATION:We report a case of primary SFT occurring in the thoracic spinal cord in a 64-year-old man with Brown-Séquard syndrome. Magnetic resonance imaging revealed an intradural mass at the level of T2–T3. INTERVENTION:Total T2–T3 laminectomies were performed. The tumor appeared to be adherent to the right lateral aspect of the cord but not attached to the meninges. On histological examination, the tumor exhibited spindle cell proliferation with abundant dense collagen but without a hemangiopericytomatous pattern. Immunohistochemically, the tumor cells were reactive with CD34 and vimentin only. CONCLUSION:We report a rare case of SFT occurring in the thoracic spinal cord. Histologically and immunohistochemically, we confirmed the diagnosis of SFT. Low signal intensity on T1- and T2-weighted images corresponded to the histological findings. When a spinal cord tumor exhibits a signal pattern similar to this, SFT should be included in the differential diagnosis. Because of the rarity of reports on this condition, the clinical manifestations and course of SFT of the spinal cord are unknown, and careful long-term follow-up is recommended.
The Impact of Computer Alienation on Information Technology INvestment Decisions: An Exploratory Cross-National Analysis

Organizations in both developed and developing countries use information technology to support their operational, tactical, and strategic processes (cf., Bogod, 1979; Cooper and Zmud, 1990). Any strategic competitive advantage of information technology, however, is contingent on acquisition and assimilation of information technology products and applications into organizational processes. Using a value expectancy approach, this study proposes an expanded model to examine the variables that correlate with information technology investment decisions. The theory of alienation from social psychology is used as a basis to systematically define and measure decision makers' attitudes and internal beliefs toward information technology in an investment context. Detailed discussion of the development of a computer alienation measurement scale is presented. The scale was used to collect data from 97 decision makers in the United States, a developed country, and Saudi Arabia, a developing country. Results provide empirical evidence on the appropriateness of applying the computer alienation construct to computer purchase decisions. Computer-alienated decision makers were found to be more inclined to resist information technology adoption by refraining from buying computers. This resistance was evident in both the U.S. and the Saudi samples. The study findings also indicate that decision-maker computer knowledge, computer experience, and education level are closely associated with alienated beliefs and attitudes toward information technology. Alienated decision makers reported paying less attention to information technology information sources. Assuming technologies can provide advantages, these findings point to the need for change agents to minimize alienating beliefs and attitudes.
Automatically discover vulnerability through similar functions

In this paper a new vulnerability discovery method based on symbolic execution and machine learning is proposed. Given a vulnerable function, similar function set can be located efficiently based on machine learning technique. Function call graphs of each function from the similar function set are obtained by dataflow analysis of the whole program. At last, the symbolic execution engine KLEE is used to travel certain paths of the tested program according to the function call graphs obtained. With the help of the function call graphs, KLEE has no need to travel all of the program paths that can absolutely increase the efficiency of symbolic execution. Upon the dual effect of machine learning and symbolic execution, the method proposed is more efficient than solely using symbolic execution and is more precise than solely using machine learning.
Alternative proofs of some formulas for two tridiagonal determinants

Abstract In the paper, the authors provide five alternative proofs of two formulas for a tridiagonal determinant, supply a detailed proof of the inverse of the corresponding tridiagonal matrix, and provide a proof for a formula of another tridiagonal determinant. This is a companion of the paper [F. Qi, V. Čerňanová,and Y. S. Semenov, Some tridiagonal determinants related to central Delannoy numbers, the Chebyshev polynomials, and the Fibonacci polynomials, Politehn. Univ. Bucharest Sci. Bull. Ser. A Appl. Math. Phys. 81 (2019), in press.
Evolution of Transmembrane Protein Kinases Implicated in Coordinating Remodeling of Gram-Positive Peptidoglycan: Inside versus Outside

ABSTRACT Members of a family of serine/threonine protein kinases (STPKs), unique to gram-positive bacteria, comprise an intracellular kinase domain and reiterated extracellular PASTA (for “penicillin-binding protein and serine/threonine kinase associated”) domains. PASTA domains exhibit low affinity for β-lactam antibiotics that are structurally similar to their likely normal ligands: stem peptides of unlinked peptidoglycan. The PASTA-domain STPKs are found in the actinobacteria and firmicutes and, as exemplified by PknB of Mycobacterium tuberculosis, they are functionally implicated in aspects of growth, cell division, and development. Whereas the kinase domains are well conserved, there is a wide divergence in the sequences of the multiple PASTA domains. Closer inspection reveals position-dependent evolution of individual PASTA domains: a domain at one position within a gene has a close phylogenetic relationship with a domain at a similar position in an orthologous gene, whereas neighboring domains have clearly diverged one from one another. A similar position-dependent relationship is demonstrated in the second family of proteins with multiple PASTA domains: the high-molecular-weight type II penicillin-binding protein (PBP2x) family. These transpeptidases are recruited to the division site by a localized pool of unlinked peptidoglycan. We infer that protein localization is guided by low-affinity interactions between structurally different unlinked peptidoglycan stem peptides and individual PASTA domains. The STPKs possess a greater multiplicity and diversity of PASTA domains, allowing interactions with a wider range of stem-peptide ligands. These interactions are believed to activate the intracellular kinase domain, allowing an STPK to coordinate peptidoglycan remodeling and reproduction of a complex cell wall structure.
Countering the false myth of democracy: Boosting compressed sensing performance with maximum-energy approach

Compressed Sensing (CS) is an effective way to sample a signal at a sub-Nyquist rate, i.e., by using a number of measurements smaller than the number of samples required when using the standard Nyquist approach. Measurements are obtained as linear projections of input signals along random sensing vectors. CS has been often regarded as a democratic method, in the sense that each measurement contributes to signal reconstruction with a similar amount of information. In this paper, by combining empirical observations with results from recent papers, we propose a different point of view, and show that CS is an oligarchic approach where performance is basically set by the measurements with the highest energy. This allows us to propose a new CS-based approach that bases the reconstruction on the maximum-energy measurements only and improves the compression performance with respect to classical approaches.
Adhesion of klotho‐deficient eryptotic erythrocytes to endothelial cells

Suicidal erythrocyte death or eryptosis is characterized by cell shrinkage and phosphatidylserine exposure at the cell surface. Eryptotic erythrocytes may adhere to the vascular wall by binding of phosphatidylserine to endothelial CXC chemokine ligand 16 (CXCL16). Triggers of eryptosis include osmotic shock or energy depletion. Susceptibility to eryptosis is modified by Klotho, a protein with profound effect on ageing and lifespan. Klotho deficiency leads to accelerated ageing and early death. The percentage of eryptotic erythrocytes is significantly larger in klotho‐deficient mice (klotho−/−) than in their wild‐type littermates (klotho+/+). The present study explored whether the accelerated eryptosis of klotho‐deficient mice is paralleled by enhanced adhesion.
cis-(Dimethyl sulfoxide-κO)[N′-(3-ethoxy-2-oxidobenzylidene-κO)-2-hydroxybenzohydrazidato-κ2 N′,O]dioxidomolybdenum(VI)

The coordination geometry at the MoVI atom in the title compound, [Mo(C16H14N2O4)O2(C2H6OS)], is distorted octahedral. The phenolate O, imino N, oxide O from the enolized carbonyl group and one of the terminal O atoms form the equatorial plane; the axial positions are occupied by the other terminal O atom of the dioxidomolybdenum group and the donor O atom of DMSO. The O=Mo=O angle is 105.31 (6)°. An intramolecular O—H⋯N hydrogen bond and weak intermolecular C—H⋯O hydrogen bonds are present in the structure.
Acoustic Modeling Using Bidirectional Gated Recurrent Convolutional Units

Convolutional and bidirectional recurrent neural networks have achieved considerable performance gains as acoustic models in automatic speech recognition in recent years. Latest architectures unify long short-term memory, gated recurrent unit and convolutional neural networks by stacking these different neural network types on each other, and providing short and long-term features to different depth levels of the network. For the first time, we propose a unified layer for acoustic modeling which is simultaneously recurrent and convolutional, and which operates only on short-term features. Our unified model introduces a bidirectional gated recurrent unit that uses convolutional operations for the gating units. We analyze the performance behavior of the proposed layer, compare and combine it with bidirectional gated recurrent units, deep neural networks and frequency-domain convolutional neural networks on a 50 hour English broadcast news task. The analysis indicates that the proposed layer in combination with stacked bidirectional gated recurrent units outperforms other architectures.
Determinants of physical activity among women treated for breast cancer in a 5‐year longitudinal follow‐up investigation

Objective: To estimate the 5‐year trajectory of physical activity among women with breast cancer, and to evaluate biopsychosocial variables (health status, physical symptoms, health‐related quality of life (HRQL), depressive symptoms, and social support), measured soon after breast cancer diagnosis, as predictors of the 5‐year trajectory.
Effectiveness evaluation of the TSV fault detection method using ring oscillators

During the 3D Stacked ICs fabrication, various defects in TSVs could come up, resulting both in performance and reliability reduction. These defects could produce serious problems in the early stages of fabrication. The situation gets more difficult because there is limited test access to TSVs, before and after wafer thinning. An analysis of effectiveness on oscillation-based pre-bond TSV test methods, based on frequency difference between a fault-free and a defective TSV, is presented. TSVs are embedded, modeled as RC elements, in a ring oscillator and the frequency is measured. When a defective TSV is inserted to the ring oscillator, it results to variations in the frequency of the circuit. The alteration of the frequency can lead us to the detection of leakage and resistive open faults. Many Monte Carlo simulations are used in each case (fault-free or faulty), to verify the robustness of the test. 65nm CMOS technology models were used for the design of the ring oscillators.
The Twente Photoacoustic Mammoscope: system overview and performance

We present PAM, the Photoacoustic Mammoscope developed at the University of Twente, intended for initial retrospective clinical studies on subjects with breast tumours. A parallel plate geometry has been adopted and the breast will be gently compressed between a glass plate and a flat ultrasound detector matrix. Pulsed light (5 ns) from an Nd:YAG laser will impinge the breast through the glass plate in regions of interest; an appropriate number of the 590 elements of the detector matrix will be activated in succession to record photoacoustic signals. Three-dimensional image reconstruction employs a delay-and-sum beamforming algorithm. We discuss various instrumental aspects and the proposed imaging protocol. Performance studies of the ultrasound detector are presented in terms of sensitivity, frequency response and resolution. Details of the patient–instrument interface are provided. Finally some imaging results on well-characterized breast tissue phantoms with embedded tumour simulating inserts are shown.
Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM

In this paper we evaluate performance of modern emotion recognition methods. Our task is to classify emotions as basic 8 categories: anger, contempt, disgust, fear, happy, sadness, surprise and neutral. CK+ dataset is used in all experiments. We apply Adaptive Boosting and Principal Component Analysis for dimensionality reduction and Support Vector Machine for classification. Size of train dataset is increased by use of few frames of sequences instead of one and vertical mirroring of faces. All images were normalized with mean centering and standardizing. In total 4428 images were used in experiment. The proposed method can work in real time and achieved average accuracy higher than 95%.
Dirichlet Random Samplers for Multiplicative Combinatorial Structures

In 2001, Duchon, Flajolet, Louchard and Schaeffer introduced Boltzmann samplers, a radically novel way to efficiently generate huge random combinatorial objects without any preprocessing; the insight was that the probabilities can be obtained directly by evaluating the generating functions of combinatorials classes. Over the following decade, a vast array of papers has increased the formal expressiveness of these random samplers. Our paper introduces a new kind of sampler which generates multiplicative combinatorial structures, which enumerated by Dirichlet generating functions. Such classes, which are significantly harder to analyze than their additive counterparts, are at the intersection of combinatorics and analytic number theory. Indeed, one example we fully discuss is that of ordered factorizations. While we recycle many of the concepts of Boltzmann random sampling, our samplers no longer obey a Boltzmann distribution; we thus have coined a new name for them: Dirichlet samplers. These are very efficient as they can generate objects of size n in O((log n)2) worst-case time complexity. By providing a means by which to generate very large random multiplicative objects, our Dirichlet samplers can facilitate the investigation of these interesting, yet little studied structures. We also hope to illustrate some of our general ideas regarding the future direction for random sampling.
Introduction: Organizational Discourse: Exploring the Field

A growing disillusionment with many of the mainstream theories and methodologies that underpin organizational studies has encouraged scholars to seek alternative ways in which to describe, analyse and theorize the increasingly complex processes and practices that constitute ‘organization’. One outcome of this search has been that ‘organizational discourse’ has emerged as an increasingly significant focus of interest. It is now difficult to open a management or organizational journal without finding that it contains some sort of discursivebased study, and there has been a recent flurry of books, edited collections and
Tumor Cavitation During Therapy with Antiangiogenesis Agents in Patients with Lung Cancer

Purpose: Treatment of lung cancer patients with antiangiogenesis agents is a new promising paradigm. Tumor cavitation is frequently noted in these patients, but the clinical significance of this finding has not been fully determined. Our purposes were to evaluate the frequency, imaging characteristics, and clinical outcome of patients receiving antiangiogenesis agents who develop tumor cavitation, and correlate these findings with therapy related adverse events, especially hemoptysis. Methods: Retrospective analysis of lung cancer patients treated with antiangiogenesis agents in MD Anderson Cancer Center between June 1998 and June 2005. Clinical data were retrieved from medical records, and chest imaging findings were documented. Results: One hundred and twenty-four patients were treated in 10 different trials. All patients had advanced lung cancer and failed previous chemotherapy. Seventeen patients developed tumor cavitation during the trial (14%; median time to event, 1.8 months; range, 0.7–6.2 months), 16 patients (13%) had preexisting cavitary tumors, and 91 (73%) did not develop cavitation. Cavity formation was more common with squamous cell histology (p = 0.04) but was not associated with hemoptysis (p = 0.12), tumor location (central versus peripheral), imaging characteristics, progression-free survival (p = 0.56), or overall survival (p = 0.33). Hemoptysis was noted in five patients (median time to event, 1.3 months; range, 0.8–2.9 months). One of five patients with hemoptysis was fatal in a cavitary squamous cell tumor. Additional adverse events were hypertension, rash, and proteinuria, none associated with cavitation. Conclusion: Development of tumor cavitation is not rare in lung cancer patients treated with antiangiogenesis agents, but the clinical implications are minimal in most cases.
Identification of novel ATP7B gene mutations and their functional roles in Korean patients with Wilson disease

Wilson disease (WND), an autosomal recessive disorder of copper transport, is characterized by excessive accumulation of intracellular copper in liver and extrahepatic tissues because of impaired biliary copper excretion and disturbed incorporation of copper into ceruloplasmin. Hepatic cirrhosis and neuronal degeneration are the major symptoms of WND, and mutations in the ATP7B gene are associated with WND. We have identified 28 different mutations in the ATP7B gene, including six novel variations, in 120 unrelated Korean patients with WND. Molecular defects in ATP7B were present in only 75.0% of Korean WND patients, with the most common mutation, p.Arg778Leu, having an allele frequency of 39.2%. To evaluate the functional defects of ATP7B caused by novel mutations, we used a yeast complementation system, and we used confocal microscopy to localize each mutation after transient expression in mammalian cells. Six novel variations were cloned into a yeast expression vector and two into a mammalian expression vector for confocal analysis. We found that c.2785A>G (p.Ile929Val) and c.3316G>A (p.Val1106Ile) were rare polymorphisms, whereas the others were novel variations disturbing ATP7B function. Hum Mutat 28(11), 1108–1113, 2007. © 2007 Wiley‐Liss, Inc.
The first twelve amino acids (less than half of the pre‐sequence) of an imported mitochondrial protein can direct mouse cytosolic dihydrofolate reductase into the yeast mitochondrial matrix.

Yeast cytochrome c oxidase subunit IV (an imported mitochondrial protein) is made as a larger precursor with a transient pre‐sequence of 25 amino acids. If this pre‐sequence is fused to the amino terminus of mouse dihydrofolate reductase (a cytosolic protein) the resulting fusion protein is imported into the matrix space, and cleaved to a smaller size, by isolated yeast mitochondria. We have now fused progressively shorter amino‐terminal segments of the subunit IV pre‐sequence to dihydrofolate reductase and tested each fusion protein for import into the matrix space and cleavage by the matrix‐located processing protease. The first 12 amino acids of the subunit IV pre‐sequence were sufficient to direct dihydrofolate reductase into the mitochondrial matrix, both in vitro and in vivo. However, import of the corresponding fusion protein into the matrix was no longer accompanied by proteolytic processing. Fusion proteins containing fewer than nine amino‐terminal residues from the subunit IV pre‐piece were not imported into isolated mitochondria. The information for transporting attached mouse dihydrofolate reductase into mitochondria is thus contained within the first 12 amino acids of the subunit IV pre‐sequence.
Synthesis of multi-coupled resonator filters with frequency-dependent couplings

A procedure is presented for the synthesis of multi-coupled resonator filters with frequency-dependent couplings. The two-port parameters of the filter are obtained by circuit analysis with frequency dependent coupling coefficients. A numerical technique, valid for wideband applications, is described to determine the characteristic function based on bandpass prototype. The values of circuit elements are synthesized by equating the admittance parameters obtained from the circuit analysis and filter characteristic function. Synthesis of 7-pole and 4-pole filters with 60% and 54% relative bandwidths respectively are given as examples.
Xanthan gum production by Xanthomonas axonopodis pv. mangiferaeindicae from glycerin of biodiesel in different media and addition of glucose

Biodiesel production has been increasing yearly in Brazil. A large amount of glycerin is generated in this process and needs a correct destination. One possible use of this glycerin in crude form is in biotechnological processes. Xanthan gum is a commercial gum used primarily in the pharmaceutical and food industries as thickener, emulsifier and stabilizer. It is synthetized by species of the bacterium Xanthomonas generally from glucose. However, current research shows that species of this bacterium have the capacity to grow and synthesize the gum using glycerin from biodiesel. The aim of this study was to produce xanthan gum using glycerin from biodiesel production in medium with different nitrogen content, named complex and simple media. The kinetics of fermentation in simple medium showed a two-fold increase in gum production (3.16 kg.m-3) compared to the one in complex medium (1.46 kg.m-3) after 120 hours. The gum generated in this study showed chemical and rheological characteristics of xanthan gum. Glucose supplementation did not show an increase in xanthan production but did increase the consistency index and the behavioral index of solutions of this gum.
On-line diagnosis of incipient faults and cellulose degradation based on artificial intelligence methods

In this paper, a new artificial intelligence technique is proposed to detect incipient faults and cellulose degradation in power transformers using dissolved gas analysis. The proposed technique is based on a combination between neural networks and fuzzy logic theory. Incipient faults diagnosis is based on hydrocarbon gases as an input while cellulose degradation detection is based on carbon monoxide and carbon dioxide. The capabilities of the proposed diagnostic system have been verified through practical test data collected from the Egyptian electricity network. A comparison between the proposed technique and reported methods is carried out.
The Long Road

This is the long road. The wind snipes across the long road from under the sprawling armpits of the trees dust blinds the eyes as far as it can see, setting off the sun among its stones, hiding rain like puberty in its dents. This has been the road to future for some, bright blooddrops to others in acres and acres of pain, yes, this is the long road that holds our hands and lets us pass past the gnarled black viper fork ending at the tip of god's tongue.