Miracle-dz/UniFAR-FTUs huggingface dataset:
Women's Choice in College STEM Majors: Impact of Ability Tilt on Women Students' Educational Choice.

This quantitative study explored the impact of ability and ability tilt on the choice of an academic program in STEM majors for female college students who have not been identified as profoundly or highly gifted. A math tilt would be an ability tilt slanting toward math. The career development theory that provided a framework for this study was the Theory of Work Adjustment. Three bodies of literature were reviewed, (a) Self-efficacy as a variable in college major or career choice, (b) life-style preference, and (c) ability tilt and ability. A Chi Square Test of Independence determined that significantly more women who majored in inorganic science, math or engineering exhibited a math tilt than would be expected. By using a logistic regression, it was found that women who possessed a math tilt were more likely to choose an inorganic science, math or engineering major. There are limitations to this study, but results suggested that further study into the concept of an ability tilt driving the choice of a major for women college students should be further explored.
LYRIC/AEG-1 Is Targeted to Different Subcellular Compartments by Ubiquitinylation and Intrinsic Nuclear Localization Signals

Purpose: LYRIC/AEG-1 has been reported to influence breast cancer survival and metastases, and its altered expression has been found in a number of cancers. The cellular function of LYRIC/AEG-1 has previously been related to its subcellular distribution in cell lines. LYRIC/AEG-1 contains three uncharacterized nuclear localization signals (NLS), which may regulate its distribution and, ultimately, function in cells. Experimental Design: Immunohistochemistry of a human prostate tissue microarray composed of 179 prostate cancer and 24 benign samples was used to assess LYRIC/AEG-1 distribution. Green fluorescent protein-NLS fusion proteins and deletion constructs were used to show the ability of LYRIC/AEG-1 NLS to target green fluorescent protein from the cytoplasm to the nucleus. Immunoprecipitation and Western blotting were used to show posttranslational modification of LYRIC/AEG-1 NLS regions. Results: Using a prostate tissue microarray, significant changes in the distribution of LYRIC/AEG-1 were observed in prostate cancer as an increased cytoplasmic distribution in tumors compared with benign tissue. These differences were most marked in high grade and aggressive prostate cancers and were associated with decreased survival. The COOH-terminal extended NLS-3 (amino acids 546-582) is the predominant regulator of nuclear localization, whereas extended NLS-1 (amino acids 78-130) regulates its nucleolar localization. Within the extended NLS-2 region (amino acids 415-486), LYRIC/AEG-1 can be modified by ubiquitin almost exclusively within the cytoplasm. Conclusions: Changes in LYRIC/AEG-1 subcellular distribution can predict Gleason grade and survival. Two lysine-rich regions (NLS-1 and NLS-3) can target LYRIC/AEG-1 to subcellular compartments whereas NLS-2 is modified by ubiquitin in the cytoplasm.
A list of attributes which may have significant influence on Innovation: An empirical study in Information Technology Sector

Empirical findings have shown that Innovation is the main driving factor in the economic growth in all the industries and Information Technology in particular at present scenario. So in this era of competition Innovation gives an edge to a company over the others and it becomes its sole survival factor. Despite all the interest and importance researchers still lack the fundamental understanding of the factors that create Innovation. It is not just the tangible factors which drive Innovation but the role of intangible factors is also equally important. These various tangible and intangible factors can be grouped into different classes according to their basic characteristics. The quantum of influence of these different classes of factors on innovation may not be the same. The main thrust of this paper is to find out the different classes and the individual factors among these identified classes which may have significant influence on Innovation in the Information Technology sector by way of literature survey and the empirical means.
Advances in Rule-Based Process Mining: Applications for Enterprise Risk Management and Auditing

Process mining research has mainly focused on the development of process mining techniques, with process discovery algorithms in the center of attention. However, far less research attention has been paid to the actual applicability of these process mining techniques in common business settings. Consequently, there only exists a partial fit between the existing process mining techniques and the compliance checking & risk management applications. This research report contributes to the process mining and compliance checking research by proposing an eff ective and efficient rule-based approach for analyzing organizational information and processes. Additionally, a general content-based business rule taxonomy has been developed as a source of business rules for the compliance checking approach. Furthermore, we also provide formal grounding for and an evaluation of the rule-based approach.
Matrix Rank and Communication

The rank of a matrix seems to play a role in the context of communication complexity, a framework developed to analyze basic communication requirement of computational problems. We present some issues and open problems arising in this area, and put forward a number of research subjects in linear algebra, whose investigation would shed new lights into the intriguing relationship between communication complexity and matrix rank. We also mention the related problem of the accuracy of bounds on the chromatic number of a graph given in terms of the rank of its adjacency matrix.
Body sensor networks for human activity recognition

Body Sensor Networks aim to capture the state of the user and its environment by utilizing from information heterogeneous sensors, and allow continuous monitoring of numerous physiological signals, where these sensors are attached to the subject's body. This can be immensely useful in activity recognition for identity verification, health and ageing and sport and exercise monitoring applications. In this paper, the application of body sensor networks for automatic and intelligent daily activity monitoring for elderly people, using wireless body sensors and smartphone inertial sensors has been reported. The scheme uses information theory-based feature ranking algorithms and classifiers based on random forests, ensemble learning and lazy learning. Extensive experiments using different publicly available datasets of human activity show that the proposed approach can assist in the development of intelligent and automatic real time human activity monitoring technology for eHealth application scenarios for elderly, disabled and people with special needs.
Unobtrusive Sensing of Emotions (USE)

Emotions are acknowledged as a crucial element for artificial intelligence; this is, as is illustrated, no different for Ambient Intelligence (AmI). Unobtrusive Sensing of Emotions (USE) is introduced to enrich AmI with empathic abilities. USE coins the combination of speech and the electrocardiogram (ECG) as a powerful and unique combination to unravel people's emotions. In a controlled study, 40 people watched film scenes, in either an office or a home-like setting. It is shown that, when people's gender is taken into account, both heart rate variability (derived from the ECG) and the standard deviation of the fundamental frequency of speech indicate people's experienced valence and arousal, in parallel. As such, both measures validate each other. Thus, through USE reliable cues can be derived that indicate the emotional state of people, in particular when also people's environment is taken into account. Since all this is crucial for both AI and true AmI, this study provides a first significant leap forward in making AmI a success.
Tabular representation of schema mappings of a data exchange system

Data exchange is the problem of taking data structured under a source schema and translating them into data structured under a target schema. In data exchange, a target instance is materialized that conforms to the source data as much as possible. A schema mapping is a high-level specification that describes the relationship between two database schemas. Schema mappings constitute essential building blocks of data exchange and data integration systems. Global-and-local-as-view (GLAV) is one of the approaches for specifying the schema mappings. In our earlier work we showed that GLAV mappings of a data integration system can be expressed by tabular structures which we called schema mapping tableaux (SMT). SMT can be used as an operator on an instance of the source schema to produce an instance of the global schema of a data integration system. In this paper, we show that GLAV mappings of a data exchange system can also be represented by SMT. Moreover, SMT can be used to compute target instances of a data exchange system which are ‘minimal’ and ‘most general’ in nature.
Gender Equity as a Quest for Social Peace in Nigeria

Women today appear to be more hopeful, energetic and optimistic than ever before in our time. Though, this is not to say that women are totally exempted from experiencing stressful or traumatic events based on gender-related issues, which persist for women as threats to their health, economic and social equities. This paper is thus designed to look at the concept of gender equity as a quest for national peace. Gender equity could be seen as providing equal opportunities for all, regardless of their sex, in accessing and understanding cultural and social events in the pursuance of peaceful co-existence in their respective environments in Nigeria, as a nation. In place of discrimination, gender equity makes it possible for the two sexes to find strength in their diversity, sharing between them those things that make them unique entities. The benefits of gender equity in attending to corroborative role performance of every individual in the maintenance of peace across the social diversity in Nigeria cannot be over emphasized. Based on the discussion, conclusions were drawn and recommendations made.
Toward a Multidisciplinary Model of Context to Support Context-Aware Computing

Capturing, defining, and modeling the essence of context are challenging, compelling, and prominent issues for interdisciplinary research and discussion. The roots of its emergence lie in the inconsistencies and ambivalent definitions across and within different research specializations (e.g., philosophy, psychology, pragmatics, linguistics, computer science, and artificial intelligence). Within the area of computer science, the advent of mobile context-aware computing has stimulated broad and contrasting interpretations due to the shift from traditional static desktop computing to heterogeneous mobile environments. This transition poses many challenging, complex, and largely unanswered research issues relating to contextual interactions and usability. To address those issues, many researchers strongly encourage a multidisciplinary approach. The primary aim of this article is to review and unify theories of context within linguistics, computer science, and psychology. Summary models within each discipline are used to propose an outline and detailed multidisciplinary model of context involving (a) the differentiation of focal and contextual aspects of the user and application's world, (b) the separation of meaningful and incidental dimensions, and (c) important user and application processes. The models provide an important foundation in which complex mobile scenarios can be conceptualized and key human and social issues can be identified. The models were then applied to different applications of context-aware computing involving user communities and mobile tourist guides. The authors' future work involves developing a user-centered multidisciplinary design framework (based on their proposed models). This will be used to design a large-scale user study investigating the usability issues of a context-aware mobile computing navigation aid for visually impaired people.
Development of an end-point detector for parylene deposition process

Parylene is an emerging material for MEMS. It is an organic material that is grown by using the chemical vapor deposition method at room temperature. The deposition thickness is commonly controlled by the amount of solid-phase dimer loaded in a sublimation chamber. In a conventional deposition machine, the end point of the process is designated by the moment the dimer is exhausted. However, this end-of-process criterion does not offer precise, repeatable control of film thickness. We present the results of the development of an in situ end-point detector for a Parylene chemical vapor deposition process. The detector is based on the thermal transfer principle and can be implemented on commercial parylene deposition systems with minimal system modification. Such a sensor enables a user to stop the deposition when a targeted thickness is reached. The end point detector is very simple to implement on existing parylene deposition systems. A series of such sensors with different target deposition thickness would allow extraction of the actual deposition rate within a deposition run.
Stuttering Frequency in Relation to Lexical Diversity, Syntactic Complexity, and Utterance Length

Children’s frequency of stuttering can be affected by utterance length, syntactic complexity, and lexical content of language. Using a unique small-scale within-subjects design, this study explored whether language samples that contain more stuttering have (a) longer, (b) syntactically more complex, and (c) lexically more diverse utterances than samples that contain less stuttering. Children who stutter, ages 2 years 1 month to 4 years 11 months, produced 10 monthly language samples. For each child, samples were divided into the first five (early) and the last five (later). Utterance length, syntactic complexity, and lexical diversity analyses were performed on samples that contained the most and least stuttering for early and later samples. For the later samples but not the early ones, samples with the most stuttering contained longer mean lengths of utterance, more diverse vocabulary overall, and greater syntactic complexity than samples with the least stuttering. Contributions of language growth, time, and specific linguistic factors are discussed.
Sexual dysfunction in women with rheumatoid arthritis.

AIM Rheumatoid Arthritis (RA) is a widespread disease which leads to various degrees of disability and profound impact on overall life quality of the patient with regard to social, economic, psychological and sexual aspects. It may be assumed that RA can affect sexual function. The aim of this study was to evaluate the sexual function in female subjects with RA. METHODS A total of 186 married women (age range 30-60 years) were included in this study. Of the total participants, 104 were RA patients and 82 were healthy women. Hospital anxiety and depression scale (HADS), Health Assessment Questionnaire (HAQ) and Disease Activity Score (DAS) were used to evaluate the differences between the controls and patient group. Sexual functions were evaluated using the validated Female Sexual Function Index (FSFI). RESULTS The mean age of the RA patients and controls was 46.71 ± 7.65 and 43.98 ± 7.97, respectively. According to the total sexual function score evaluation, 97 out of 104 women with RA (93.7 %) and in 53 out of 82 women in control group (64.6 %) were regarded as having sexual dysfunction (SD). There was significant difference between these two subgroups with regard to only depression factor. CONCLUSION Current results have demonstrated that patients with RA have had a higher sexual dysfunction rate, when compared with the control group. SD may be related to perceived depression, which are frequently encountered conditions in patients with RA.
Noncoding Rna Transcripts

Recent analyses of the human genome and available data about the other higher eukaryotic genomes have revealed that, in contrast to Eubacteria and Archaea, only a small fraction of the genetic material (ca 1.5%) codes for proteins. Most of genomic DNA and its RNA transcripts are involved in regulation of gene expression, which can be exerted at either the transcriptional level, controlling whether a gene is transcribed and to what extent, or at the post-translational level, regulating the fate of the transcribed RNA molecules, including their stability, efficiency of their translation and subcellular localization. Noncoding RNA genes produce functional RNA molecules (ncRNAs) rather than encoding proteins. These stable RNAs act by multiple mechanisms such as RNA-RNA base pairing, RNA-protein interactions and intrinsic RNA activity, as well as regulate diverse cellular functions, including RNA processing, mRNA stability, translation, protein stability and secretion. Non-protein-coding RNAs are known to play significant roles. Along with transfer RNAs, ribosomal RNAs and mRNAs, ncRNAs contribute to gene splicing, nucleotide modification, protein transport and regulation of gene expression.
Pas de politique d'accès aux droits sociaux sans information sur les publics vulnérables

L'administration publique est tenue de faciliter l'acces aux droits sociaux. Elle est en particulier redevable des reponses ciblees qui sont aujourd'hui proposees pour reparer l'effilochement des protections tissees autour du travail. Pour les organisations chargees de l'attribution des prestations et des aides sociales (organismes de la Securite sociale, administrations d'Etat et locales), la question n'est pas de savoir si ces mesures sont bonnes ou pas ; elles doivent les executer. En revanche, il s'agit de savoir si ces organisations publiques sont suffisamment preparees pour n'oublier personne. Sur ce plan, l'information relative a l'acces aux droits est une donnee importante que les organisations prestataires se doivent de maitriser au mieux. Pour etre performantes dans la mise en œuvre des nouvelles mesures de protection sociale, il leur faut savoir reperer les populations visees et s'assurer que les prestations et les aides les atteignent. Or sur ce plan, le bât blesse a plusieurs endroits, pour differentes raisons qui poussent a considerer comme une necessite la construction de systemes d'information partages
Determining the Number of Dimensions UnderlyingCustomer-choices with a Competitive Neural

More and more data about consumer-behaviour is becoming available through the use of database systems and electronic-banking systems. In this paper we describe a NN-based technique to extract some useful information from a database holding data about customers of an insurance-company. Using this NN, we try to learn more about the needs and wishes that lead consumers towards speciic behaviour, so that better service can be provided in the future. We formulate a more formal version of this problem, describe the NN used, and show results on artiicial and real data.
Context sensitivity in role-based access control

This paper describes an extended role-based access control (RBAC) model, which makes RBAC sensitive to the context of an attempted operation. Traditional RBAC does not specify whether the permissions associated with a role enable access to a particular object, or to some subset of objects belonging to a class. We extend the model by introducing the notions of role context and context filters. Context filters are Boolean expressions based on the context of the user attempting the operation, as well as the context of the object upon which the operation is attempted. By supplying context filters during the definition of a role, a security administrator can easily limit the applicability of users' role memberships to particular subsets of the target objects. We also describe our implementation of the model in a web-services platform, to illustrate how this technique is particularly valuable when the data is hierarchically structured.
Coherence for qualified types

The meaning of programs in a language with implicit overloading can be described by translating them into a second language that makes the use of overloading explicit. A single program may have many distinct translations and it is important to show that any two translations are semantically equivalent to ensure that the meaning of the original program is well-defined. This property is commonly known as coherence. This paper deals with an implicitly typed language that includes support for parametric polymorphism and overloading based on a system of qualified types. Typical applications include Haskell type classes, extensible records and subtyping. In the general case, it is possible to find examples for which the coherence property does not hold. Extending the development of a type inference algorithm for this language to include the calculation of translations, we give a simple syntactic condition on the principal type scheme of a term that is sufficient to guarantee coherence for a large class of programs. One of the most interesting aspects of this work is the use of terms in the target language to provide a semantic interpretation for the ordering relation between types that is used to establish the existence of principal types. On a practical level, our results explain the importance of unambiguous type schemes in Haskell.
Experimental investigation of the temporal variation of MIMO channels

The measurement and characterisation of multiple-input multiple-output (MIMO) channels has gained increasing attention over recent years. Previous analysis of MIMO measurements has generally focussed on the evaluation of the capacity of such systems in differing locations and configurations. We present measurements made in an indoor environment at 5.2 GHz, specifically to investigate temporal channel variation. Line-of-sight and non-line-of-sight situations are compared by means of an analysis of the rate of variation in the powers of the 'orthogonal spatial channels' comprising the overall MIMO channel. The conclusions are extended to encompass the rate of variation in performance of MIMO channels under different environmental conditions.
Regulation of the Neuronal Proteasome by Zif268 (Egr1)

Most forms of neuronal plasticity are associated with induction of the transcription factor Zif268 (Egr1/Krox24/NGF-IA). In a genome-wide scan, we obtained evidence for potential modulation of proteasome subunit and regulatory genes by Zif268 in neurons, a finding of significance considering emerging evidence that the proteasome modulates synaptic function. Bioinformatic analysis indicated that the candidate proteasome Zif268 target genes had a rich concentration of putative Zif268 binding sites immediately upstream of the transcriptional start sites. Regulation of the mRNAs encoding the psmb9 (Lmp2) and psme2 (PA28β) proteasome subunits, along with the proteasome-regulatory kinase serum/glucocorticoid-regulated kinase (SGK) and the proteasome-associated antigen peptide transporter subunit 1 (Tap1), was confirmed after transfection of a neuronal cell line with Zif268. Conversely, these mRNAs were upregulated in cerebral cortex tissue from Zif268 knock-out mice relative to controls, confirming that Zif268 suppresses their expression in the CNS. Transfected Zif268 reduced the activity of psmb9, SGK, and Tap1 promoter–reporter constructs. Altered psmb9, SGK, and Tap1 mRNA levels were also observed in an in vivo model of neuronal plasticity involving Zif268 induction: the effect of haloperidol administration on striatal gene expression. Consistent with these effects on proteasome gene expression, increased Zif268 expression suppressed proteasome activity, whereas Zif268 knock-out mice exhibited elevated cortical proteasome activity. Our findings reveal that Zif268 regulates the expression of proteasome and related genes in neuronal cells and provide new evidence that altered expression of proteasome activity after Zif268 induction may be a key component of long-lasting CNS plasticity.