Miracle-dz/UniFAR-FTUs huggingface dataset:
Personality characteristics of information systems professionals

Relative to other occupations, few empirical studies have been documented concerning personality characteristics of information systems professionals. Also, past studies have tended to lump all data processing personnel into a single group of “computer programmers”. This study is based on the Sixteen Personali ty Factor Questionnaire (16PF) results of 113 respondents who work in data processing at large insurance companies located in the midwest. 16PF personality profiles were compiled for application programmers, systems analysts, technical programmers, and data processing managers. ACMCPR ’91 A multivariate test of the difference in group centroids indicated significant differences in these four personali ty profiles. Through discriminant analysis, it was determined that the managers and application programmers tended to be more experimenting and free-thinking, more imaginative, and more forthright and content with what comes than the technical programmers and systems analysts. Itwas also determined that the managers tended to be more lax and impulsive, more assertive and competitive, and have a higher capability for abstract-thinking than the application programmers. The information systems manager group was also compared to an existing 16PF profile for business executives. This comparison suggests that the IS managers in this study tended to be less warm and outgoing, more assertive and aggressive, less adventurous and socially bold, less trusting and accepting of conditions, more self-sufficient and resourceful, more impulsive, and more tense than the business executives. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date appear, and notice is given that copying is by permissionoftbe Association for Computing Machinery. Tocopy otherwise , or to republish, requires a fee and/or specific permission. 01991 ACM 089791-389-2/91/0003/0140 $1.50 140
SimSearch: similarity search framework based on indexing techniques in metric spaces

Similarity search in metric spaces refers to searching elements in data repositories that are similar to an element supplied by the user (query example). Similarity functions are used to determine which elements in the data repositories are similar to the query example and indexing mechanisms are used to improve the efficiency in the search. Classic indexation mechanisms such as LSH, M-Index, and M-Tree behave different according to the dimensionality in the metric space, volume of data repositories, and query strategies. In this paper, we describe SimSearch, a modular and flexible framework for similarity search in metric spaces, which allows to use, analyse, compare, and add several indexation mechanisms, search approaches, and query strategies. SimSearch allows doing queries given one or more example elements to obtain the set of elements more similar to the query examples, using query composition and Skyline. We show the variability of performance of several indexation mechanisms, including LSH-ML (our proposed variant of LSH), with experimental study in the domain of images represented by a feature vector in a high dimensionality metric space and Web Services represented by a vector with the values of Quality of Service (QoS) parameters.
Linearity improvement of double differential pair CMOS OTA using quasi-floating-gate technique

A new configuration of a linearised operational transconductor amplifier (OTA) using double differential pair with source degeneration block is proposed in this paper. Double differential structure is used to cancel out the even order harmonics. The Source degeneration block of double differential pair is implemented by “Tunable linear Quasi-Floating-Gate (QFG) transistor operating in the triode mode”. Conventional quasi-floating MOS resistors are implemented using a large resistance. This large value of floating biasing resistor is implemented using MOS transistor operating in subthreshold region. The transconductor is implemented using UMC 0.18 µm CMOS technology with 1.8 V supply voltage at room temperature (27°C). The experimental results shows that Second Harmonic Distortion (HD2) of −144.9 dB for 0.5 Vpp at 40KHz and the power consumption is 527.4 µw with 1.8V supply voltage.
EVEX in ST’13: Application of a large-scale text mining resource to event extraction and network construction

During the past few years, several novel text mining algorithms have been developed in the context of the BioNLP Shared Tasks on Event Extraction. These algorithms typically aim at extracting biomolecular interactions from text by inspecting only the context of one sentence. However, when humans interpret biomolecular research articles, they usually build upon extensive background knowledge of their favorite genes and pathways. To make such world knowledge available to a text mining algorithm, it could first be applied to all available literature to subsequently make a more informed decision on which predictions are consistent with the current known data. In this paper, we introduce our participation in the latest Shared Task using the largescale text mining resource EVEX which we previously implemented using state-ofthe-art algorithms, and which was applied to the whole of PubMed and PubMed Central. We participated in the Genia Event Extraction (GE) and Gene Regulation Network (GRN) tasks, ranking first in the former and fifth in the latter.
Cell surface biomarkers of embryonic stem cells

Embryonic stem cells (ESCs) can give rise to any adult cell type and thus offer enormous potential for regenerative medicine and drug discovery. Molecular biomarkers serve as valuable tools to classify and isolate ESCs and to monitor their differentiation state by antibody‐based techniques. A number of biomarkers, such as certain cell surface antigens, are used to assign pluripotent ESCs; however, accumulating evidence suggests that ESCs are heterogeneous in morphology, phenotype and function, and are thereby classified into subpopulations characterized by multiple sets of molecular biomarkers. Biomarker discovery is also important for ESC biology to elucidate the molecular mechanisms that regulate pluripotency and differentiation. This review summarizes studies of ESC biomarker discovery. “Genome‐wide” expression profiling of ESC mRNAs and proteins and direct analyses of the cell surface subproteome have demonstrated that ESCs express a diverse range of biomarkers, cell surface antigens, and signaling molecules found in different cell lineages, as well as a number of key molecules that assure “stemness”. Clearly, future quantitative proteomics approaches will enhance our knowledge of the stage‐ and lineage‐specific expression of the proteome and its temporal changes upon differentiation, and provide a more detailed view of nascent and clonally amplified ESCs.
Worldwide auto-mobi: Arduino IoT home automation system for IR devices

The common in use for remote control tasks achieved via specific mobile (e.g. Android or iOS) and this control done only by radio remote control systems, infrared (IR) devices, etc.and limited in the edges of office/house, but not remote control automated for electric/ electronic devices from anywhere (outside of office/house). This paper proposed an Internet of Things (IoT) home automated system in two categories, the hardware via a device named Worldwide Auto-mobi and software has been designed to automate a favorite used devices such as TV, SAT, DVD addition to any other devices that can be controlled by an IR signal, locally and anywhere (wide world) via a hybrid mobile application will reduce the number of used controllers in the house by using a single mobile software that control devices using Internet via a WiFi module ESP8266 based on Arduino UNO. This system is being connected to a cloud server and to the mobile application can support iOS/Android mobile or iPad/Tablet. The implementation of the proposed system of home automated was achieved in minimum cost (about 30$) for office/house devices and with a delay in the range (0.4–1) s. this range near real-time (within a few seconds), i.e. it provides a good solution which can be reached in anywhere and anytime based on the cloud.
Human periodontal ligament: a niche of neural crest stem cells.

BACKGROUND AND OBJECTIVE The periodontal ligament is a specialized connective tissue, derived from dental follicle and originated from neural crest cells. Recently it has been suggested, based on animal models, that periodontal ligament could be a niche for neural crest stem cells. However, there is still little knowledge on this subject. The identification of neural crest adult stem cells has received much attention based on its potential in tissue regeneration. The objective of the present work was to verify the human periodontal ligament as a niche for neural crest stem cells. MATERIAL AND METHODS Cells from human periodontal ligament were isolated from 10 teeth of seven individuals (periodontal ligament pool group) and also from four teeth of one individual (periodontal ligament single group), after enzymatic digestion. The cells were cultured in specific inductive medium. Analyses of protein and gene expression were performed through immunocytochemistry and reverse transcription-polymerase chain reaction techniques, respectively. RESULTS Mesodermal phenotypes (adipogeneic, osteogenic and myofibroblastic) were identified after culture in inductive medium. Immunocytochemistry analyses showed the presence of the nestin marker of neural stem cells and also markers of undifferentiated neural crest cells (HNK1, p75). When cultured in inductive medium that allowed neural differentiation, the cells showed markers for beta-tubulin III, neurofilament M, peripherin, microtubule-associated protein 2 and protein zero. The results were similar between the two study groups (the periodontal ligament pool group and the periodontal ligament single group). CONCLUSION This research provides evidence that human periodontal ligament, in addition to its mesodermal derivatives, produces neural crest-like cells. Such features suggest a recapitulation of their embryonic state. The human periodontal ligament revealed itself as a viable alternative source for possible primitive precursors to be used in stem-cell therapies.
Apical Debris Extrusion by Novel Endostar E5 Compared to Other Commercial Rotary Files: An in Vitro Study

Objective: To compare the amount of apical debris extrusion in samples instrumented by EndoStar E5, ProTaper Universal, and M-two rotary files. Material and Methods: Forty-five freshly extracted non-carious mandibular premolar teeth with single roots and single canals were acquired, and randomly divided into 3 groups (n=15). Samples in Groups 1, 2, and 3 were instrumented using EndoStar E5 (EE5), ProTaper Universal (PTU), and M-two (MTO) rotary file, respectively. Following instrumentation, the debris extruded was collected in pre-weighed Eppendorf tubes and stored in an incubator at 70°C for 5 days. Tubes containing the dry extruded debris were then weighed. One-way analysis of variance was applied to the weights obtained followed by Tukey’s post hoc test for multiple comparison. Results: The mean debris extruded (mg) for the 3 groups were 1.23 (±0.72), 2.16 (±0.66), and 1.39 (±0.86) for EE5, PTU, and MTO respectively. Samples instrumented with PTU were associated with significantly higher debris extrusion (p 0.05). Conclusion: The novel EE5 and M-two rotary files result in less debris extrusion compared to PTU in mandibular premolars.
Arousal Modulates Auditory Attention and Awareness: Insights from Sleep, Sedation, and Disorders of Consciousness

The interplay between attention and consciousness is frequently tested in altered states of consciousness, including transitions between stages of sleep and sedation, and in pathological disorders of consciousness (DoC; the vegetative and minimally conscious states; VS and MCS). One of the most widely used tasks to assess cognitive processing in this context is the auditory oddball paradigm, where an infrequent change in a sequence of sounds elicits, in awake subjects, a characteristic EEG event-related potential called the mismatch negativity, followed by the classic P300 wave. The latter is further separable into the slightly earlier, anterior P3a and the later, posterior P3b, thought to be linked to task-irrelevant “bottom-up” and task-oriented “top-down” attention, respectively. We discuss here the putative dissociations between attention and awareness in DoC, sedation and sleep, bearing in mind the recently emerging evidence from healthy volunteers and patients. These findings highlight the neurophysiological and cognitive parallels (and differences) across these three distinct variations in levels of consciousness, and inform the theoretical framework for interpreting the role of attention therein.
A Game-Theoretic Approach to Stochastic Security and Dependability Evaluation

The complex networked computer systems of today are often vulnerable to a large number of failures, accidental as well as intentional. To be able to assess to what degree one can rely on such a system, new methods for quantitative evaluation is needed. This paper presents a stochastic model for integrated security and dependability evaluation, which models malicious attacker behavior as transitions between system states. To predict the probabilities of attack actions a game theoretic approach is applied. We demonstrate the method by computing security and dependability measures in two different case studies
Scalable Distributed Video Coding Using Compressed Sensing in Wavelet Domain

Scalable video coding technologies provide adaptive video applications in heterogeneous and polytropical conditions. However, the highly hierarchical feature makes the loss or unsuccessful recovery of the base-layer to be catastrophic. In this paper, a distributed scalable video coding scheme using the new advances of compressed sensing is proposed to solve this problem at the energy-constrained encoder. The wavelet coefficients of the video frames have inherent fidelity scalability which is utilized in our scheme. Furthermore, the democracy of measurements reduces the risk of base-layer loss over the packet loss channel. Experimental results show that our scheme outperforms the existing scalable compressed sensing scheme by about 2dB. Keywords-compressed sensing, distributed video coding, scalable video coding, wavelet transform
Developmental changes in attention to faces and bodies in static and dynamic scenes

Typically developing individuals show a strong visual preference for faces and face-like stimuli; however, this may come at the expense of attending to bodies or to other aspects of a scene. The primary goal of the present study was to provide additional insight into the development of attentional mechanisms that underlie perception of real people in naturalistic scenes. We examined the looking behaviors of typical children, adolescents, and young adults as they viewed static and dynamic scenes depicting one or more people. Overall, participants showed a bias to attend to faces more than on other parts of the scenes. Adding motion cues led to a reduction in the number, but an increase in the average duration of face fixations in single-character scenes. When multiple characters appeared in a scene, motion-related effects were attenuated and participants shifted their gaze from faces to bodies, or made off-screen glances. Children showed the largest effects related to the introduction of motion cues or additional characters, suggesting that they find dynamic faces difficult to process, and are especially prone to look away from faces when viewing complex social scenes—a strategy that could reduce the cognitive and the affective load imposed by having to divide one's attention between multiple faces. Our findings provide new insights into the typical development of social attention during natural scene viewing, and lay the foundation for future work examining gaze behaviors in typical and atypical development.
Cloning and Characterization of the ζ-Carotene Desaturase Gene from Chlorella protothecoides CS-41

To elucidate the lutein biosynthesis pathway in the lutein-producing alga, Chlorella protothecoides CS-41, the ζ-carotene desaturase gene (zds) was isolated from Chlorella protothecoides using the approach of rapid amplification of cDNA ends. The full-length cDNA sequence was 2031 bp and contained 1755 bp putative open reading frame which encodes a 584 amino acid deduced polypeptide whose computed molecular weight was 63.7 kDa. Sequence homology research indicated that the nucleotide and putative protein had sequence identities of 72.5% and 69.5% with those of the green alga Chlamydomonas reinhardtii, respectively. Phylogenetic analysis demonstrated that the ZDS from C. protothecoides CS-41 had a closer relationship with those of chlorophyta and higher plants than with those of other species. In addition, we also found that the zds gene expression was upregulated in response to light.
Using the IPSec Architecture for Secure Multicast Communication ( Extended Abstract )

A key component of the IP Security architecture is the Internet Key Exchange Daemon (IKE). IKE is invoked to establish keys and security related parameters between hosts in order to protected the exchanged application data with them. The IKE concept can not be used for securing group communication based on IP multicast services since it is only addressed to pairwise security. For negotiation and controlled distribution of group security data and membership management the Multicast Internet Key Exchange (MIKE) is introduced. The appropriate daemon will be developed for to the use in military environment. This implies for the MIKE protocols that they are insensitive against packet loss and fulfill special military conditions, e.g. the emission control mode (EMCON) of a user. This paper discusses the architecture and design for MIKE daemon which executes the management functions described above.
Searching for Good Solutions in Goal-Dense Search Spaces

In this paper we explore the challenges surrounding searching effectively in problems with preferences. These problems are characterized by a relative abundance of goal states: at one extreme, if every goal is soft, every state is a goal state. We present techniques for planning in such search spaces, managing the sometimes-conflicting aims of intensifying search around states on the open list that are heuristically close to new, better goal states; and ensuring search is sufficiently diverse to find new low-cost areas of the search space, avoiding local minima. Our approach uses a novel cost-bound-sensitive heuristic, based on finding several heuristic distance-to-go estimates in each state, each satisfying a different subset of preferences. We present results comparing our new techniques to the current state-of-the-art and demonstrating their effectiveness on a wide range of problems from recent International Planning Competitions.
The relationship between model fidelity and therapeutic practice

Section A provides a review of empirical literature researching therapists’ experiences, opinions and attitudes towards the practice of model fidelity. Sixteen studies are reviewed, synthesized and critiqued, and findings are categorised into themes. Results of the review suggest therapists have complex relationships with model fidelity, shaped by multifaceted combinations of attitudes, values, personal, professional and skill development, clinical complexity, and experience. Findings are also considered in relation to pertinent theories. Clinical and research implications are discussed. Section B presents a grounded theory of model fidelity in clinical psychologists’ therapeutic practice. The theory was developed from semi-structured interviews conducted with 13 clinical psychologists with varying expertise. Through analysis, a hierarchy of categories emerged from the data, describing stages of therapeutic practice. The grounded theory suggests that clinical psychologists have evolving relationships with model fidelity, moving from model-centred practice to person-centred approaches with greater experience. Implications for clinical practice and research are discussed.
Partitioned cyclic code shift keying for JTIDS

In this paper, we propose partitioned cyclic code shift keying (PCCSK) for the Joint Tactical Information Distribution System (JTIDS) by combining a Hadamard matrix and a modified maximal length sequence (MMLS). The proposed approach adaptively increases the transmission data rate within a limited transmission range in the battlefield. By exploiting a new code set as a spreading code and by adopting code selection, the system is easily able to achieve higher spectral efficiency. For additional performance enhancement, we apply adaptive channel coding with PCCSK, and we derive the appropriate code pairs. Monte Carlo simulations are conducted to show the transmission ranges of the proposed scheme, and the results show that PCCSK with adaptive coding can support a higher data rate with a reasonable transmission range.
YAAFE, an Easy to Use and Efficient Audio Feature Extraction Software

Music Information Retrieval systems are commonly built on a feature extraction stage. For applications involving automatic classification (e.g. speech/music discrimination, music genre or mood recognition, .), traditional approaches will consider a large set of audio features to be extracted on a large dataset. In some cases, this will lead to computationally intensive systems and there is, therefore, a strong need for efficient feature extraction. In this paper, a new audio feature extraction software, YAAFE 1 , is presented and compared to widely used libraries. The main advantage of YAAFE is a significantly lower complexity due to the appropriate exploitation of redundancy in the feature calculation. YAAFE remains easy to configure and each feature can be parameterized independently. Finally, the YAAFE framework and most of its core feature library are released in source code under the GNU Lesser General Public License.