Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of solation-contraction coupling in regulating stress fiber dynamics in nonmuscle cells

Serum-deprived Swiss 3T3 fibroblasts constitutively form stress fibers at their edges. These fibers move centripetally towards the perinuclear region where they disassemble. Serum stimulation causes shortening of fibers in a manner suggesting active actin-myosin-based contraction (Giuliano, K.A. and D.L. Taylor. 1990. Cell Motil. and Cytoskeleton. 16:14-21). To elucidated the role of actin-based gel structure in these movements, we examined the effects of disrupting actin organization with cytochalasin. Serum-deprived fibroblasts were microinjected with rhodamine analogs of actin or myosin II and fiber dynamics were monitored with a multimode light microscope workstation using video- enhanced contrast and fluorescence modes. When cells were perfused with greater than or equal to 3 microM cytochalasin B or 0.5 microM cytochalasin D, formation and transport of stress fibers were reversibly inhibited, and rapid and immediate shortening of existing fibers was induced. Quantification of actin and myosin II fluorescence associated with individual shortening fibers demonstrated that fluorescence per length of fiber increased for both components, suggesting sliding filament contraction. However, there was also a net loss of both actin and myosin II from fibers as they shortened, indicating a self-destructive process. Loss of material from fibers coupled with increased overlap of actin and myosin II remaining in the fibers suggested that contraction could be induced not only by increasing the force exerted by contractile motors, but also by decreasing gel structure through partial solation. Finally, cytochalasin accelerated contraction of actin-myosin-based gels reconstituted from purified proteins in the absence of myosin-based regulation, further supporting solation-contraction coupling as a possible mechanism for modulating cytoplasmic contractility (Taylor, D.L. and M. Fechheimer. 1982. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 299:185-197).
Tumor suppressive microRNA-1285 regulates novel molecular targets: Aberrant expression and functional significance in renal cell carcinoma

MicroRNAs (miRNA) are non-coding RNAs, approximately 22 nucleotides in length, which function as post-transcriptional regulators. A large body of evidence indicates that miRNAs regulate the expression of cancer-related genes involved in proliferation, migration, invasion, and metastasis. The aim of this study was to identify novel cancer networks in renal cell carcinoma (RCC) based on miRNA expression signatures obtained from RCC clinical specimens. Expression signatures revealed that 103 miRNAs were significantly downregulated (< 0.5-fold change) in RCC specimens. Functional screening (cell proliferation assays) was performed to identify tumor suppressive activities of 20 downregulated miRNAs. Restoration of mature miRNAs in cancer cells showed that 14 miRNAs (miR-1285, miR-206, miR-1, miR-135a, miR-429, miR-200c, miR-1291, miR-133b, miR-508-3p, miR-360-3p, miR-509-5p, miR-218, miR-335, miR-1255b and miR-1285) markedly inhibited cancer cell proliferation, suggesting that these miRNAs were candidate tumor suppressive miRNAs in RCC. We focused on miR-1285 because it significantly inhibited cancer cell proliferation, invasion, and migration following its transfection. We addressed miR-1285-regulated cancer networks by using genome-wide gene expression analysis and bioinformatics. The data showed that transglutaminase 2 (TGM2) was directly regulated by miR-1285. Silencing of the target gene demonstrated significant inhibition of cell proliferation and invasion in the RCC cells. Furthermore, immunohistochemistry showed that TGM2 expression levels in RCC specimens were significantly higher than those in normal renal tissues. Downregulation of tumor suppressive miR-1285, which targets oncogenic genes including TGM2, might contribute to RCC development. Thus, miR-1285 modulates a novel molecular target and provides new insights into potential mechanisms of RCC oncogenesis.
The Process and Experiences of Self-Employment Among People With Disabilities: A Qualitative Study

Self-employment and business ownership may provide viable options toward overcoming employment disparities for people with disabilities. This qualitative study explored the process and experience of self-employment among people with disabilities. An online survey yielded responses from 18 individuals who were engaged in various self-employment endeavors. The researchers identified three main categories: reasons for self-employment, the process of becoming self-employed, and the challenges encountered. The majority of participants revealed negative and/or unhelpful interactions with vocational rehabilitation counselors. In addition, this study solicited advice from participants for vocational rehabilitation counselors and other persons with disabilities contemplating self-employment. Finally, recommendations for vocational rehabilitation practice, business development training, and education are provided.
Using electronic mail as a teaching tool

1. Introduct ion This paper describes my use of electronic mail in an undergraduate software engineering course at Rutgers University. The class was divided into seven small teams of three to five members each. Since I was employed full-time in industry, I was concerned about the time necessary to guide 26 students. In addition, the students involved were affiliated with five different colleges, and some were night students, others nonresidents. A way had to be found for this widely divergent group and me to communicate easily and quickly. My course's objective was to teach students a set of heuristics for designing programs and to offer them experience in team programming. Each of the seven teams worked on its own student-selected project. The projects were: (1) Adding a new set of formats to the PUB text formatting system. These would enable the PUB user [7] to specify the journal for which he /
Broadband CMOS Stacked RF Power Amplifier Using Reconfigurable Interstage Network for Wideband Envelope Tracking

In this paper, a two-stage broadband CMOS stacked FET RF power amplifier (PA) with a reconfigurable interstage matching network is developed for wideband envelope tracking (ET). The proposed RF PA is designed based on Class-J mode of operation, where the output matching is realized with a two-section low-pass matching network. To overcome the bandwidth (BW) limitation from the high- Q interstage impedance, a reconfigurable matching network is proposed, allowing a triple frequency mode of operation using two RF switches. The proposed RF PA is fabricated in a 0.32- μm silicon-on-insulator CMOS process and shows continuous wave (CW) power-added efficiencies (PAEs) higher than 60% from 0.65 to 1.03 GHz with a peak PAE of 69.2% at 0.85 GHz. The complete ET PA system performance is demonstrated using the envelope amplifier fabricated on the same process. When measured using a 20-MHz BW long-term evolution signal, the overall system PAE of the ET PA is higher than 40% from 0.65 to 0.97 GHz while evolved universal terrestrial radio access adjacent channel leakage ratios are better than -33 dBc across the entire BW after memoryless digital pre-distortion. To our knowledge, this study represents the highest overall system performance in terms of PAE and BW among the published broadband ET PAs, including GaAs HBT and SiGe BiCMOS.
AN APPROACH TOWARD UNDERSTANDING THE INVARIANT AND VARIANT ASPECTS OF SPEECH PRODUCTION USING LOW-RANK – SPARSE MATRIX DECOMPOSITIONS

An understanding of the invariant aspects of speech articulation is vital for the development of more accurate models of speech production. It is also equally important to find and describe the sources of variability in production to completely understand the cognitive processes behind the speech code. In this paper, we propose a novel application of low-rank– sparse matrix decomposition and signal warping techniques on real-time magnetic resonance image sequences obtained during human speech production to decompose those articulatory data into “invariant” and “variant” sequences. These sequences can then be used in linguistic analysis or statistical modeling.
Compensation of the probe positioning errors in the spherical NF - FF transformation for elongated antennas

An effective approach to compensate the positioning errors in a spherical near field - far field transformation for long antennas is proposed in this work. It relies on a nonredundant sampling representation of the electromagnetic fields assuming the antenna under test as enclosed in a cylinder ended in two half spheres and employs the singular value decomposition method to evaluate the near-field data at the points fixed by the nonredundant representation from the irregularly spaced ones. Once these data have been recovered, those needed by a near field - far field transformation with spherical scanning are efficiently evaluated by using an optimal sampling interpolation algorithm. Numerical tests assessing the effecttiveness of the proposed approach are shown.
A system of relative Pellian equations and a related family of relative Thue equations

In this paper we consider the family of systems (2c + 1)U2 - 2cV2 = μ and (c - 2)U2 - cZ2 = -2μ of relative Pellian equations, where the parameter c and the root of unity μ are integers in the same imaginary quadratic number field . We show that for |c| ≥ 3 only certain values of μ yield solutions of this system, and solve the system completely for |c| ≥ 1544686. Furthermore we will consider the related relative Thue equation and solve it by the method of Tzanakis under the same assumptions.
Development and application of a PID auto-tuning method to a wastewater treatment process

This paper presents an application regarding a developed extension of the widely used relay-feedback PID auto-tuner. The proposed method consists of two steps: process identification and controller design. First, a non-iterative procedure is suggested for identification of one point on the process Nyquist curve. A second-order model (SOS) is obtained and then used for PID controller design based on the internal model principle (IMC). For the identification of the point on the Nyquist curve a relay in the feedback loop (as used in standard auto-tuning) which operates on the integral of the error is used. The method is illustrated on an application to a wastewater treatment process. In the considered process, the wastewater is treated in order to obtain an effluent having the substrate concentration within the standard limits. The performances of control algorithms are illustrated by simulation results. The influence of changing a design parameter in the desired closed loop behavior is shown.
Correlating intrusion detection alerts on bot malware infections using neural network

Millions of computers are infected with bot malware, form botnets and enable botmaster to perform malicious and criminal activities. Intrusion Detection Systems are deployed to detect infections, but they raise many correlated alerts for each infection, requiring a large manual investigation effort. This paper presents a novel method with a goal of determining which alerts are correlated, by applying Neural Networks and clustering, thus reducing the number of alerts to manually process. The main advantage of the method is that no domain knowledge is required for designing feature extraction or any other part, as such knowledge is inferred by Neural Networks. Evaluation has been performed with traffic traces of real bot binaries executed in a lab setup. The method is trained on labelled Intrusion Detection System alerts and is capable of correctly predicting which of seven incidents an alert pertains, 56.15% of the times. Based on the observed performance it is concluded that the task of understanding Intrusion Detection System alerts can be handled by a Neural Network, showing the potential for reducing the need for manual processing of alerts. Finally, it should be noted that, this is achieved without any feature engineering and with no use of domain specific knowledge.
Does every inspection need a meeting?

At each step in large software development, reviewers carry out inspections to detect faults. These inspections are usually followed by a meeting to collect the faults that have been discovered. However, we have found that these inspection meetings are not as beneficial as managers and developers think they are. Even worse, they cost much more in terms of products development interval and developer's time than anyone realizes.Analysis of the inspection and collection process leads us to make the following suggestions. First, at the least, the number of participants required at each inspection meeting should be minimized. Second, we propose two alternative fault collection methods, either of which would eliminate the inspection meetings altogether: (a) collect faults by deposition (small face-to-face meetings of two or three persons), or (b) collect faults using verbal or written media (telephone, electronic mail, or notes). We believe that such a change in procedure would increase efficiency by reducing production times without sacrificing product quality.
LAASE RDRL HRT I MARTINEZ RDRL HRT T R SOTTILARE RDRL HRT B N FINKELSTEIN RDRL HRT G A RODRIGUEZ RDRL HRT I J HART RDRL HRT M C METEVIER RDRL HRT S B PETTIT

NOTICES Disclaimers The findings in this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents. Citation of manufacturer's or trade names does not constitute an official endorsement or approval of the use thereof. Destroy this report when it is no longer needed. Do not return it to the originator. Approved for public release; distribution is unlimited. Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Directorate assesses crewstation design for new and upgraded US Army Aviation aircraft during simulations and operational testing. The assessments are conducted to identify and eliminate human factors design problems. As part of these evaluations, the AH-64 Apache attack helicopter has been a primary focus with respect to crewstation design changes. One of the significant design changes for the Apache crewstation is the integration of unmanned aircraft system (UAS) control. This study investigates the feasibility of controlling multiple UASs from the cockpit of an AH-64 Apache helicopter by examining scientific studies conducted on multi-UAS control that relate to operator and pilot mental workload.
A hybrid diphone speech unit and a speech corpus construction technique for a Thai text-to-speech system on mobile devices

Most Thai text-to-speech systems on personal computers can synthesize sound in real time with acceptable quality. However, when porting the Thai TTS systems to limited-resource systems such as mobile devices, computational time has to be reduced. Hence, the quality of synthesized sound is decreased. Even though Flite_Thai, a unit concatenation synthesizer for Thai, can reduce the computational time into a real time system, the output sound is quite unintelligible. In this paper, we aim at selecting the appropriate speech unit for Flite_Thai in order to improve its intelligibility. We design a new speech corpus that consists of three different speech units: demi-syllable, diphone and a new speech unit called hybrid diphone. We use a non-sense carrier sentence technique for recording this corpus since we focus more on clear articulation of each speech unit. Our carrier sentence contains a speech unit or a set of similar speech units per sentence without concerning the meaning. We compare the quality of speech synthesized using four types of speech units, a diphone from the TsynC corpus recorded with natural sentences, and the three types of units from the new corpus recorded with non-sense carrier sentences. In terms of intelligibility, all of the speech units from the new corpus achieved higher MOS (Mean Opinion Score) than the existing Flite_Thai system which uses speech units from TsynC. Among the three unit types in the news corpus, demi-syllable obtained the highest score. Although hybrid diphone obtained higher MOS than the existing system and the diphone, it still suffers from a similar problem which is unsmooth joints between units.
The impact of ownership structure on financial reporting quality in the east

Purpose This paper aims to focus mainly on the relationship between ownership structure and earnings management of a developed and two developing economies, and is distinct from prior research. Design/methodology/approach Using a sample of firms from three countries (Australia, Malaysia and Pakistan), the detailed ownership evolutions for the period 2011-2013 were observed. Findings Overall, the authors find that in the East, ownership concentration is negatively associated with financial reporting quality. Individual ownership and group ownership were negatively associated with earnings management in Pakistan, however, not in Malaysia where the same were positively associated. Further, the result of this study indicated that state ownership is negatively associated with firm performance. Among the control variables, it was found that larger firms were negatively correlated with financial reporting, while firms with a larger board size and mature in the maneuver were coupled positively with earnings management. Originality/value The results highlight the highly individualized effects of blockholders and the need for research to further understand the mechanisms through which shareholders impact financial reporting quality.
Bounding the Solution Set of Uncertain Linear Equations : a Convex Relaxation Approach

In this paper, we discuss semidefinite relaxation techniques for computing minimal size ellipsoids that bound the solution set of a system of uncertain linear equations (ULE). The proposed technique is based on the combination of a quadratic embedding of the uncertainty, and the Sprocedure. The resulting bounding condition is expressed as a Linear Matrix Inequality (LMI) constraint on the ellipsoid parameters and the additional scaling variables. This formulation leads to a convex optimization problem that can be efficiently solved by means of interior point barrier methods.
Identification, characterization and cloning of myr 1, a mammalian myosin-I

We have identified, characterized and cloned a novel mammalian myosin-I motor-molecule, called myr 1 (myosin-I from rat). Myr 1 exists in three alternative splice forms: myr 1a, myr 1b, and myr 1c. These splice forms differ in their numbers of putative calmodulin/light chain binding sites. Myr 1a-c were selectively released by ATP, bound in a nucleotide-dependent manner to F-actin and exhibited amino acid sequences characteristic of myosin-I motor domains. In addition to the motor domain, they contained a regulatory domain with up to six putative calmodulin/light chain binding sites and a tail domain. The tail domain exhibited 47% amino acid sequence identity to the brush border myosin-I tail domain, demonstrating that myr 1 is related to the only other mammalian myosin-I motor molecule that has been characterized so far. In contrast to brush border myosin-I which is expressed in mature enterocytes, myr 1 splice forms were differentially expressed in all tested tissues. Therefore, myr 1 is the first mammalian myosin-I motor molecule with a widespread tissue distribution in neonatal and adult tissues. The myr 1a splice form was preferentially expressed in neuronal tissues. Its expression was developmentally regulated during rat forebrain ontogeny and subcellular fractionation revealed an enrichment in purified growth cone particles, data consistent with a role for myr 1a in neuronal development.
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction

Feature selection is used to preserve significant properties of data in a compact space. In particular, feature selection is needed in applications, where information comes from multiple heterogeneous high dimensional sources. Data integration, however, is a challenge in itself. In our contribution, we introduce a feature selection framework based on powerful visualisation capabilities of self-organising maps, where the deep structure can be learned in a supervised or unsupervised manner. For a supervised version of the deep SOM, we propose to carry out inference with a linear SVM. A forward-backward procedure helps to converge to an optimal feature set. We show by experiments on real large-scale biomedical data set that the proposed methods embed data in a new compact meaningful representation, allow to visualise biomedical signatures, and also lead to a reasonable classification accuracy compared to the state-of-the-art methods.
Anosov families, renormalization and non-stationary subshifts

We introduce the notion of an Anosov family, a generalization of an Anosov map of a manifold. This is a sequence of diffeomorphisms along compact Riemannian manifolds such that the tangent bundles split into expanding and contracting subspaces. We develop the general theory, studying sequences of maps up to a notion of isomorphism and with respect to an equivalence relation generated by two natural operations, gathering and dispersal. Then we concentrate on linear Anosov families on the 2-torus. We study in detail a basic class of examples, the multiplicative families, and a canonical dispersal of these, the additive families. These form a natural completion to the collection of all linear Anosov maps. A renormalization procedure constructs a sequence of Markov partitions consisting of two rectangles for a given additive family. This codes the family by the non-stationary subshift of finite type determined by exactly the same sequence of matrices. Any linear positive Anosov family on the torus has a dispersal which is an additive family. The additive coding then yields a combinatorial model for the linear family, by telescoping the additive Bratteli diagram. The resulting combinatorial space is then determined by the same sequence of non-negative matrices, as a non-stationary edge shift. This generalizes and provides a new proof for theorems of Adler and Manning.
How Argumentation can Enhance Dialogues in Social Networks

Many websites nowadays allow social networking between their users in an explicit or implicit way. In this work, we show how the theory of argumentation schemes can provide a valuable help to formalize and structure on-line discussions and user opinions in decision support and business oriented websites that hold social networks among their users. A real study case is considered and analysed. Then, guidelines for website and system design are provided to enhance social decision support and recommendations with argumentation.