Miracle-dz/UniFAR-FTUs huggingface dataset:
Capturing Users' Information and Communication Needs for the Press Officers

The way in which people acquire information on events and form their own opinion on them has changed dramatically with the advent of social media. For many readers, the news gathered from online sources becomes an opportunity to share points of view and information within the micro-blogging platforms such as Twitter, mainly aimed at satisfying their communication needs. Furthermore, the need to deepen the aspects related to the news stimulates a demand for information that is often met through online information sources, such as Wikipedia. This behaviour has also influenced the way in which journalists write their articles, requiring a careful assessment of what actually interests readers. The goal of this article is to define a methodology for a recommender system able to suggest to the journalist, for a given event, the aspects still uncovered in news articles in which the readers’ interest focuses. The basic idea is to characterize an event according to the echo it had in online news sources and associate it with the corresponding readers’ communicative and informative patterns, detected through the analysis of Twitter and Wikipedia respectively. Our methodology temporally aligns the results of this analysis and identifies as recommendations the concepts that emerge as topic of interest from Twitter and Wikipedia, not covered in the published news articles.
Interpretivist Research, Positivist Research, and Field Research

People generally agree that different methods should be used to study educational administration. However, in reality, researchers may consciously or subconsciously lose sight of this position, they develop a preference for and favor certain methods in their field of work to the exclusion of others. This is similar to the case of an old person who is skilled in writing with a brush, who knows the wonders of pens and computers, but is reluctant and even hates to use such writing instruments in place of the brush. Colleen A. Capper accurately described such "bias," maintaining that the majority of researchers and practitioners in educational administration use certain methods, or, in other words, work under the guidance of "certain paradigms. " On the surface, they acknowledge the legitimacy of other theoretical frameworks, but, in their hearts, they implicitly and explicitly maintain the ontological, epistemological, or methodological supremacy of their preferred paradigm, which they deem as independent and supersedes other methods and paradigms.1
Critical amino acids in human DNA polymerases η and κ involved in erroneous incorporation of oxidized nucleotides

Oxidized DNA precursors can cause mutagenesis and carcinogenesis when they are incorporated into the genome. Some human Y-family DNA polymerases (Pols) can effectively incorporate 8-oxo-dGTP, an oxidized form of dGTP, into a position opposite a template dA. This inappropriate G:A pairing may lead to transversions of A to C. To gain insight into the mechanisms underlying erroneous nucleotide incorporation, we changed amino acids in human Polη and Polκ proteins that might modulate their specificity for incorporating 8-oxo-dGTP into DNA. We found that Arg61 in Polη was crucial for erroneous nucleotide incorporation. When Arg61 was substituted with lysine (R61K), the ratio of pairing of dA to 8-oxo-dGTP compared to pairing of dC was reduced from 660:1 (wild-type Polη) to 7 : 1 (R61K). Similarly, Tyr112 in Polκ was crucial for erroneous nucleotide incorporation. When Tyr112 was substituted with alanine (Y112A), the ratio of pairing was reduced from 11: 1 (wild-type Polκ) to almost 1: 1 (Y112A). Interestingly, substitution at the corresponding position in Polη, i.e. Phe18 to alanine, did not alter the specificity. These results suggested that amino acids at distinct positions in the active sites of Polη and Polκ might enhance 8-oxo-dGTP to favor the syn conformation, and thus direct its misincorporation into DNA.
Linear estimates for Schrödinger semigroup in Morrey spaces

We establish the global well-posedness of the Landau-Lifshitz-Gilbert equation in Rn for any initial data m0 ∈ H1 ∗(R, S2) whose gradient belongs to the Morrey space M2,2(Rn) with small norm ‖∇m0‖M2,2(Rn). The method is based on priori estimates of a dissipative Schrödinger equation of GinzburgLandau types obtained from the Landau-Lifshitz-Gilbert equation by the moving frame technique.
The Electric Variable Transmission without slip ring for the Hybrid Electric Vehicle driving structure

In this paper, the Electric Variable Transmission (EVT) without slip ring for the Hybrid Electric Vehicle (HEV) structure is proposed. In the EVT structure, the motor with floating stator is applied instead of the planetary gear, and it enhances the reliability by removal of the mechanical friction. However, the slip ring used in the EVT for the electric connection between rotating windings and the fixed inverter circuit makes mechanical friction, which harms the merit of the EVT structure. Therefore, the EVT structure without mechanical contact is proposed in this paper, which is composed of two H-bridge circuits with inductive link, which are connected to the fixed battery and the rotating inverter, respectively. The bidirectional power transfer is realizable by phase shift control of two H-bridges, and simple data transmission is also realizable by phase perturbation. The operation of the proposed circuit is verified by the simulation result.
THE INTENTION AND REFLECTION MODEL OF SELF-DISCLOSURE: SOCIAL WORK EDUCATION FOR STUDENT IDENTITY MANAGEMENT IN GAY MEN

Little research exists on how self-disclosure is taught in social work education (Pianko, 2001). Few social work education programs include precontemplative components of exploring identity for gay male students. In this study, the data from 4 focus groups of gay male therapists, who discussed their self-disclosure, decision-making processes, were coded and analyzed. Data analysis revealed 3 topical areas: identity creation, preparatory identity management, and relational identity management. This article describes the intention and reflection model (IRM) of identity management in gay men as it relates to precontemplative identity of gay male students in social work education. The author also recommends potential research for IRM application to additional sociocultural populations.
miniStudio: Designers' Tool for Prototyping Ubicomp Space with Interactive Miniature

Recently, it has become common for designers to deal with complex and large-scale ubicomp or IoT spaces. Designers without technical implementation skills have difficulties in prototyping such spaces, especially in the early phases of design. We present miniStudio, a designers' tool for prototyping ubicomp space with proxemic interactions. It is built on designers' existing software and modeling materials (Photoshop, Lego, and paper). Interactions can be defined in Photoshop based on five spatial relations: location, distance, motion, orientation, and custom. Projection-based augmented reality was applied to miniatures in order to enable tangible interactions and dynamic representations. Hidden marker stickers and a camera-projector system enable the unobtrusive integration of digital images on the physical miniature. Through the user study with 12 designers and researchers in the ubicomp field, we found that miniStudio supported rapid prototyping of large and complex ideas with multiple connected components. Based on the tool development and the study, we discuss the implications for prototyping ubicomp environments in the early phase of the design.
Optimized Flow Cytometric Analysis of Central Nervous System Tissue Reveals Novel Functional Relationships Among Cells Expressing CD133, CD15, and CD24

Although flow cytometry is useful for studying neural lineage relationships, the method of dissociation can potentially bias cell analysis. We compared dissociation methods on viability and antigen recognition of mouse central nervous system (CNS) tissue and human CNS tumor tissue. Although nonenzymatic dissociation yielded poor viability, papain, purified trypsin replacement (TrypLE), and two purified collagenase/neutral protease cocktails (Liberase‐1 or Accutase) each efficiently dissociated fetal tissue and postnatal tissue. Mouse cells dissociated with Liberase‐1 were titrated with antibodies identifying distinct CNS precursor subtypes, including CD133, CD15, CD24, A2B5, and PSA‐NCAM. Of the enzymes tested, papain most aggressively reduced antigenicity for mouse and human CD24. On human CNS tumor cells, CD133 expression remained highest after Liberase‐1 and was lowest after papain or Accutase treatment; Liberase‐1 digestion allowed magnetic sorting for CD133 without the need for an antigen re‐expression recovery period. We conclude that Liberase‐1 and TrypLE provide the best balance of dissociation efficiency, viability, and antigen retention. One implication of this comparison was confirmed by dissociating E13.5 mouse cortical cells and performing prospective isolation and clonal analysis on the basis of CD133/CD24 or CD15/CD24 expression. Highest fetal expression of CD133 or CD15 occurred in a CD24hi population that was enriched in neuronal progenitors. Multipotent cells expressed CD133 and CD15 at lower levels than did these neuronal progenitors. We conclude that CD133 and CD15 can be used similarly as selectable markers, but CD24 coexpression helps to distinguish fetal mouse multipotent stem cells from neuronal progenitors and postmitotic neurons. This particular discrimination is not possible after papain treatment.
Study on User Authority Management for Safe Data Protection in Cloud Computing Environments

In cloud computing environments, user data are encrypted using numerous distributed servers before storing such data. Global Internet service companies, such as Google and Yahoo, recognized the importance of Internet service platforms and conducted self-research and development to create and utilize large cluster-based cloud computing platform technology based on low-priced commercial nodes. As diverse data services become possible in distributed computing environments, high-capacity distributed management is emerging as a major issue. Meanwhile, because of the diverse forms of using high-capacity data, security vulnerability and privacy invasion by malicious attackers or internal users can occur. As such, when various sensitive data are stored in cloud servers and used from there, the problem of data spill might occur because of external attackers or the poor management of internal users. Data can be managed through encryption to prevent such problems. However, existing simple encryption methods involve problems associated with the management of access to data stored in cloud environments. Therefore, in the present paper, a technique for data access management by user authority, based on Attribute-Based Encryption (ABE) and secret distribution techniques, is proposed.
Dose–schedule finding in phase I/II clinical trials using a Bayesian isotonic transformation

A dose–schedule‐finding trial is a new type of oncology trial in which investigators aim to find a combination of dose and treatment schedule that has a large probability of efficacy yet a relatively small probability of toxicity. We demonstrate that a major difference between traditional dose‐finding and dose–schedule‐finding trials is that while the toxicity probabilities follow a simple nondecreasing order in dose‐finding trials, those of dose–schedule‐finding trials may adhere to a matrix order. We show that the success of a dose–schedule‐finding method requires careful statistical modeling and a sensible dose–schedule allocation scheme. We propose a Bayesian hierarchical model that jointly models the unordered probabilities of toxicity and efficacy and apply a Bayesian isotonic transformation to the posterior samples of the toxicity probabilities, so that the transformed posterior samples adhere to the matrix‐order constraints. On the basis of the joint posterior distribution of the order‐constrained toxicity probabilities and the unordered efficacy probabilities, we develop a dose–schedule‐finding algorithm that sequentially allocates patients to the best dose–schedule combination under certain criteria. We illustrate our methodology through its application to a clinical trial in leukemia and compare it with two alternative approaches. Copyright © 2008 John Wiley & Sons, Ltd.
The 5 minute rule for trading memory for disc accesses and the 10 byte rule for trading memory for CPU time

If an item is accessed frequently enough, it should be main memory resident. For current technology, “frequently enough” means about every five minutes. Along a similar vein, one can frequently trade memory space for CPU time. For example, bits can be packed in a byte at the expense of extra instructions to extract the bits. It makes economic sense to spend ten bytes of main memory to save one instruction per second. These results depend on current price ratios of processors, memory and disc accesses. These ratios are changing and hence the constants in the rules are changing.
The TextPro Tool Suite

We present TextPro, a suite of modular Natural Language Processing (NLP) tools for analysis of Italian and English texts. The suite has been designed so as to integrate and reuse state of the art NLP components developed by researchers at FBK. The current version of the tool suite provides functions ranging from tokenization to chunking and Named Entity Recognition (NER). The systems architecture is organized as a pipeline of processors wherein each stage accepts data from an initial input or from an output of a previous stage, executes a specific task, and sends the resulting data to the next stage, or to the output of the pipeline. TextPro performed the best on the task of Italian NER and Italian PoS Tagging at EVALITA 2007. When tested on a number of other standard English benchmarks, TextPro confirms that it performs as state of the art system. Distributions for Linux, Solaris and Windows are available, for both research and commercial purposes. A web-service version of the system is under development.
Modeling Human Performance from Visualization Interaction Histories

We present a novel framework called TOME that helps designers quantitatively evaluate interactive visualizations. TOME collects user-interaction histories from visualizations via an instrumentation library and can convert these histories into keystrokelevel models (KLMs) [1] that predict task-completion times using CogTool [2, 7]. Our aim is to minimize human involvement in performance-model construction, which is notoriously timeconsuming and error-prone when done manually [6]. We evaluate the framework with a brain-circuit visualization and demonstrate its use in iterative tool development.
Thermal Noise Compliant Synthesis of Linear Lumped Macromodels

This paper addresses the synthesis of equivalent circuits from black box state-space macromodels, as produced by model order reduction or rational curve fitting schemes. The emphasis is here on thermal noise compliance, intended as the guarantee that the produced netlists can be safely used in standard circuit solvers to perform thermal noise analysis, in addition to usual DC, AC, and transient simulations. Due to the fact that SNR is a key figure of merit in nearly all signal processing analog circuits, noise analysis is mandatory in design and verification of most analog and RF/millimeter-wave electronic applications. However, common macromodel synthesis approaches rely on components that do not (and cannot) have an associated thermal noise model, such as controlled sources or negative circuit elements. Therefore, macromodel-based noise analyses are generally not possible with currently available approaches. We propose a circuit realization derived from the classical resistance extraction synthesis, with suitable modifications for enhancing macromodel sparsity and efficiency. The resulting equivalent netlist, which is compatible with any standard circuit solver, is shown to produce exact noise characteristics, even if its elements are derived through a mathematical procedure, totally unrelated to the actual topology of the physical system under modeling. The procedure is validated by several examples.
Cross-Interaction between JC Virus Agnoprotein and Human Immunodeficiency Virus Type 1 (HIV-1) Tat Modulates Transcription of the HIV-1 Long Terminal Repeat in Glial Cells

ABSTRACT The human polyomavirus JC virus (JCV) is the causative agent of the fatal demyelinating disease progressive multifocal leukoencephalopathy (PML), which is commonly seen in AIDS patients. The bicistronic viral RNA, which is transcribed at the late phase of infection, is responsible for expressing the viral capsid proteins and a small regulatory protein, agnoprotein. Immunohistochemical analysis of brain tissue from subjects with AIDS/PML revealed colocalization of the human immunodeficiency virus type 1 (HIV-1) transactivator, Tat, and JCV agnoprotein in nucleus and cytoplasm of “bizarre” astrocytes. In accord with this observation, we detected the copresence of agnoprotein and Tat in human astrocytes upon infection with JCV and HIV-1 or in astrocytic cells expressing these proteins after transfection. Interestingly, results from infection of human astrocytes with HIV-1 and JCV showed a decrease in the level of HIV-1 replication in cells that are coinfected with JCV. Conversely, a slight increase in the level of JCV replication was observed in the presence of HIV-1. The copresence of JCV and HIV-1 in astrocytes prompted us to investigate the possible cross-interaction of agnoprotein with Tat and its impact on HIV-1 gene transcription. Our results demonstrate that agnoprotein through its N-terminal domain associates with Tat and the interaction causes the suppression of Tat-mediated enhancement of HIV-1 promoter activity in these cells. Results from RNA and protein binding assays showed that agnoprotein can inhibit the association of Tat with its target RNA sequence, TAR, and with cyclin T1. Furthermore, agnoprotein is able to interfere with cross-interaction of Tat with the p65 subunit of NF-κB and Sp1, whose functions are critical for Tat activation of the long terminal repeat. These observations unravel a new pathway for the molecular interaction of these two viruses in biologically relevant cells in the brains of AIDS/PML patients.
Spatial resolution in photoacoustic tomography: effects of detector size and detector bandwidth

High spatial resolution is one of the major aims in tomographic imaging. Two main factors limiting the resolution of photo and thermoacoustic tomography are the detector size and the finite bandwidth of the ultrasound detection system. In this paper we present a quantitative analysis of those effects for ‘approximate point detectors’ and for ‘approximate line detectors’.
The redundancy gains of almost lossless universal source coding over envelope families

The problem of almost lossless universal coding is revisited in this work. We study uniform rate of convergence for distortion and redundancy over a family of envelope distributions. In particular, we show that an almost lossless coding scheme offers faster rate of convergence for the (minimax) redundancy compared with the well-known information radius developed for the lossless case at the expense of tolerating a non-zero distortion that vanishes to zero as the block-length grows. Our results show that even when lossless universality is feasible, an almost lossless scheme can still offer different regimes on the rates of convergence of the redundancy versus the distortion.
VizWiz::LocateIt - enabling blind people to locate objects in their environment

Blind people face a number of challenges when interacting with their environments because so much information is encoded visually. Text is pervasively used to label objects, colors carry special significance, and items can easily become lost in surroundings that cannot be quickly scanned. Many tools seek to help blind people solve these problems by enabling them to query for additional information, such as color or text shown on the object. In this paper we argue that many useful problems may be better solved by direclty modeling them as search problems, and present a solution called VizWiz::LocateIt that directly supports this type of interaction. VizWiz::LocateIt enables blind people to take a picture and ask for assistance in finding a specific object. The request is first forwarded to remote workers who outline the object, enabling efficient and accurate automatic computer vision to guide users interactively from their existing cellphones. A two-stage algorithm is presented that uses this information to guide users to the appropriate object interactively from their phone.
Enhanced frequency pattern of the 2-D Hartley transform for a new crop-resilient image transform

In this paper, some modifications are introduced to the Original Hartley Transform (OHT) in an attempt to increase the resistance of the OHT against the cropping attack. The unique frequency pattern of the OHT triggered the proposed modifications, where the coefficients of the transformation kernel matrix are swapped to meet the requirements of the new transform. The Modified Hartley Transform (MHT) can be utilized in many signal and image applications; however, in this paper the main focus is on the cropping and filtering applications only. Two applications of the MHT are also presented in this paper. The first (major) application is a new form of the Naturalness Preserving Transform (NPT) based on the MHT for hiding distinctive ownership identification information into sensitive data (i.e., remote sensing data). The new MHT-based NPT is more resilient to the cropping attack. Experimental results in this paper emphasize the capability of the MHT-based NPT to invisibly hide a digital signature into a host data, which also can be used for a secure data (image) transmission. The second (minor) application is a Cross-Like Shape L-Pass Filter (CLSLPF), which is mainly developed to suit the unique frequency pattern of the new MHT. This type of filter preserves the minimum number of the frequency components which holds the highest percentage of the input signal's energy. Experimental results are provided for comparison between the proposed CLSLPF and Butterworth low pass filter with a main focus on the total energy of the preserved frequency components.