501 research outputs found

    Multi-site multi-synchronous support for SQLite augmented for Local- First Software

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    At the one end of the spectrum, locally installed applications allow users to work offline and at their convenience but do not support collaboration among multiple users or devices. At the other end, cloud-based applications offer collaboration and data synchronization but require an uninterrupted internet connection. To address these limitations, Local-First software was introduced to merge the advantages of both approaches. This allows users to use applications offline and synchronize data with peers when they are back online. This approach offers an appealing solution for users requiring both offline capabilities and collaboration [1]. Conflict-free Replicated Data Types (CRDTs) have emerged as a promising technology for implementing Local-First software since they address the challenge of replica convergence and multi-synchronous data access [1]. Basically, they are abstract data types with well-defined interfaces that can be replicated across multiple sites and allow a replica to be modified without coordination with other replicas [2]. The replicas converge to the same state when they receive and apply the same set of updates. If CRDTs are integrated with relational databases (RDBs), they can facilitate multi-synchronous data access and extend RDBs with Local-First characteristics. This integration process is known as Conflict-free Replicated Relations (CRRs) [3]. SynQLite is an implementation that augments SQLite databases with CRR to make them Local-First software [4]. It aims to extend existing SQLite-based applications with multi-synchronous access, enabling offline usage and seamless collaboration across multiple users and devices. However, its existing implementation has a critical limitation in its ability to support multiple sites. It cannot manage states when multiple replicas or sites are frequently connected and disconnected, which is a vital requirement for real-world applications and presents a challenge that must be addressed for SynQLite to be more widely adopted. The goal of this Master’s thesis is to extend the existing version of SynQLite by adding multi-site multi-synchronous support. This was achieved by implementing new features and resolving existing bugs on top of the existing codebase. Our implementation was rigorously evaluated through various tests and experiments, and the results demonstrate that we successfully achieved our goal

    Tendencies of Inner Surveillance in Democratic India Challenges of Establishing Native Ethnographer's Identity Among Indian Muslims

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    The paper analyzes how the native ethnographer's position within his/her com-munity becomes problematized during fieldwork conditions defined by fear of state surveillance forces. It focuses on the way state's vigilance activities create new barriers for establishing of native ethnographer's authority by challenging the ethnographer's privileged access to his/her research community based on trust and cultural/religious affiliations. The apprehensions for personal safety experienced by the informants unsettle the distinctions between native and non-native ethno-graphy. The paper argues that if anthropology is to progress as a meaningful so-cial and cultural critique then it must elaborate the ethnographer's experiences of navigating the shifting grounds as insider and outsider. It proposes a "thick de-scription" of the way reticence and distrust of the informants is overcome. The aim is to create scholarship that counters political and social injustices by making explicit voids and gaps and by gleaning a wealth of information in silences

    Students’ perceptions toward the usability and usefulness of the digital libraries: A Case Study of Women University in District Peshawar.

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    This paper investigated the perceptions of undergraduate students regarding usability and usefulness of Digital Libraries. A case study was conducted to explore the use of Digital Library (DL) resources in ten undergraduate classes at Shaheed Benazir Butto Women University Peshawar and identified students\u27 perceptions regarding educational digital libraries. Data was collected through survey method using qualitative tools such as observation and interviews. The study examined that university provides internet facility to all students and they have ample access for using Digital libraries but majority of the students are not aware of the use of DLs. Only research students are using digital libraries and most of them use it for research purpose while other using open Web sources for visual and multimedia purpose. Furthermore students did not recognize academic libraries as a useful source for digital images and used various search browsers while searching for visual resources. Students stated that the digital library websites are difficult to navigate and insufficient in providing signs about the richness of resources that it offers. Students’ experiences regarding the use of library website badly affected their perceptions about digital services

    Residual Deficits Observed In Athletes Following Concussion: Combined Eeg And Cognitive Study

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    The neurocognitive sequelae of a sport-related concussion and its management are poorly defined. Emerging evidence suggests that the residual deficits can persist one year or more following a brain injury. Detecting and quantifying the residual deficits are vital in making a decision about the treatment plan and may prevent further damage. For example, improper return to play (RTP) decisions in sports such as football have proven to be associated with the further chance of recurring injury, long-term neurophysiological impairments, and worsening of brain functional activity. The reliability of traditional cognitive assessment tools is debatable, and thus attention has turned to assessments based on electroencephalogram (EEG) to evaluate subtle post-concussive alterations. In this study, we calculated neurocognitive deficits in two different datasets. One dataset contains a combination of EEG analysis with three standard post-concussive assessment tools. The data for this dataset were collected for all testing modalities from 21 adolescent athletes (seven concussive and fourteen healthy) in three different trials. Another dataset contains post-concussion eyes closed EEG signal for twenty concussed and twenty age-matched controls. For EEG assessment, along with linear frequency-based features, we introduced a set of time-frequency and nonlinear features for the first time to explore post-concussive deficits. In conjunction with traditional frequency band analysis, we also presented a new individual frequency based approach for EEG assessment. A set of linear, time-frequency and nonlinear EEG markers were found to be significantly different in the concussed group compared to their matched peers in the healthy group. Although EEG analysis exhibited discrepancies, none of the cognitive assessment resulted in significant deficits. Therefore, the evidence from the study highlight that our proposed EEG analysis and markers are more efficient at deciphering post-concussion residual neurocognitive deficits and thus has a potential clinical utility of proper concussion assessment and management. Moreover, a number of studies have clearly demonstrated the feasibility of supervised and unsupervised pattern recognition algorithms to classify patients with various health-related issues. Inspired by these studies, we hypothesized that a set of robust features would accurately differentiate concussed athletes from control athletes. To verify it, features such as power spectral, statistical, wavelet, and other nonlinear features were extracted from the EEG signal and were used as an input to various classification algorithms to classify the concussed individuals. Various techniques were applied to classify control and concussed athletes and the performance of the classifiers was compared to ensure the best accuracy. Finally, an automated approach based on meaningful feature detection and efficient classification algorithm were presented to systematically identify concussed athletes from healthy controls with a reasonable accuracy. Thus, the study provides sufficient evidence that the proposed analysis is useful in evaluating the post-concussion deficits and may be incorporated into clinical assessments for a standard evaluation of athletes after a concussion

    PREVALENCE OF DYSLEXIA AMONG UNDERGRADUATE STUDENTS AT BUITEMS

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    Dyslexia is identified in adults as a reading difficulty who faces phonological issues when reading though they possess the normal intelligence required for correct and fluent reading. Dyslexia is quite common with an incidence rate of approximately 5 to 10 % in adults. Dyslexic adult students struggle in reading and writing, mispronounces words, faces difficulty in remembering dates, names, etc. and verbal instruction, poor recall of conversations or events, etc. These verbal problems may create issues for them in carrying out their studies and thus their academics will be affected. &nbsp

    Non-linear finite element investigation on the behavior of cold-formed plain lipped C-section in shear, and combined bending and shear

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    The paper provides numerical simulations, based on the finite element method (FEM) using the software package ANSYS/Standard, of high strength C-section cold-formed steel purlins in shear and combined bending and shear. The simulations were compared with the previous research on a variety of section sizes and thicknesses. The reasonable results of the numerical simulations show that finite element analysis can be used to predict the ultimate loads of thin-walled members including the post-buckling behavior of thin-walled sections in shear and combined bending and shear. It reveals that finite element analysis can therefore be used to design and optimize thin-walled sections of high strength steel. Direct Strength Method (DSM) design rules for C-sections in shear and for combined bending and shear both with and without tension field action can be investigated using this FE model

    Parametric study with FE model of cold-formed plain lipped C-section in shear, and combined bending and shear

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    The study focuses on the finite element (FE) modelling of cold formed plain lipped C-section in shear, and combined bending and shear, which was developed using ANSYS. Hence, a parametric study on plain C-section was conducted to investigate the applicability of the direct strength method (DSM). In addition, DSM capacity curves were constructed to find out the limitations of DSM. It is found that the DSM equations for nominal shear capacity with tension field action (TFA) gives the capacity that is acceptable when full tension field action is developed while the nominal DSM moment capacity at local buckling outlines conservative results. However, the study also reveals that the DSM nominal shear capacity without tension field action provides lower capacity than the real peak capacity and therefore, it concludes that this method is more conservative

    Non-linear finite element investigation on the behavior of cold-formed plain lipped C-section in shear, and combined bending and shear

    Get PDF
    The paper provides numerical simulations, based on the finite element method (FEM) using the software package ANSYS/Standard, of high strength C-section cold-formed steel purlins in shear and combined bending and shear. The simulations were compared with the previous research on a variety of section sizes and thicknesses. The reasonable results of the numerical simulations show that finite element analysis can be used to predict the ultimate loads of thin-walled members including the post-buckling behavior of thin-walled sections in shear and combined bending and shear. It reveals that finite element analysis can therefore be used to design and optimize thin-walled sections of high strength steel. Direct Strength Method (DSM) design rules for C-sections in shear and for combined bending and shear both with and without tension field action can be investigated using this FE model
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