Miracle-dz/UniFAR-FTUs huggingface dataset:
Are Higher Education Institutions Addressing the Employment Needs of Clinical Laboratories in Rural Areas?

ABSTRACT Clinical laboratories across the nation are faced with a shortage of qualified medical laboratory technicians (MLTs) and medical laboratory scientists (MLSs). As the clinical laboratory workforce continues to shrink, it is essential that higher-education institutions acknowledge the employment needs of rural laboratories to ensure quality health care in underserved areas. An aging workforce, program closures, and a general increase in demand for laboratory testing have compounded the workforce shortage for rural clinical laboratories, which often face unique challenges. The purpose of this research study was to examine the perceptions of rural clinical laboratory managers toward higher education’s response to the shortage of MLTs and MLSs and to determine the extent to which MLT and MLS programs are meeting the staffing and professional development needs of rural clinical laboratories. This descriptive mixed-method study was conducted utilizing a national survey of 429 MLT and MLS program directors, in addition to interviews with 10 clinical laboratory managers in rural West Virginia. The results of this study revealed higher education institutions are not adequately meeting the employment needs of rural clinical laboratories, with notable key areas for improvement, including communication, partnership, and promotion of the profession. Interviews with laboratory managers indicated a moderate to severe rural workforce shortage, with a glaring deficiency of MLS candidates. Research findings demonstrated that community and technical colleges, specifically MLT programs, were more likely than universities and 4-year colleges to establish formal relationships with rural laboratories and served as a primary source of job candidates for rural laboratories. The findings further suggested rural clinical rotations, targeted recruitment efforts, and the creation of online and hybrid programs would aid rural laboratories in securing a qualified workforce, whereas the delivery of online continuing-education modules would benefit incumbent workers.
Floating Captcha Security Technique for authentication

A CAPTCHA (Completely Automated Public Turing Test to tell computers computer and human apart) challenge using Captcha as graphical password is used as authentication mechanism. In this paper, floating captcha security is integrated to make the system secure. Captcha technique is improved by adding floating capability to Captcha. Apart from floating captcha click animal, captcha zoo and animal grid technologies are also used to enhance security. It eliminates the chances of shoulder surfing attack, image hotspot problem, online guessing attack, human based hacking attack and relay attack. The security can also be improved by generation of Captcha images on different levels of difficulty based on login history and IP address of the machiene. The machiene produces simple captcha challenges for known machienes and complex for unknown one.
Multi-Relational Algebra and its Application to Unrealized Datasets used in C4.5

Relational databases are based on the theory of relational algebra because all the operations of RDBMS draw their functioning from the operations in relational algebra. The operations of relational algebra are defined on the sets, however, In general, the datamining algorithms requires databases which adopts the multiset philosophy to give better and more accurate results. Unrealized datasets ensures confidentiality of the actual datasets in the datamining process.C4.5 is a classic algorithm which works on mixed real world datasets. This paper proposes the application of Relational algebra for multisets to find the split criterion to be used in classification by the C4.5 algorithm. The results are shown by making the changes in original C4.5 algorithm in the weka tool setting.
Sleep deprivation enhances false memory on the Deese-Roediger-McDermott (DRM) task

False memories are memories that people report to be true with high confidence, even though they had never encountered the fact behind the memory in reality. Such memories possess strong semantic association with already existing encoded memories which hence appear to be familiar. Sleep is known to provide optimal conditions for the consolidation of long-term memories whereas the deprivation of sleep is known to hinder memory’s consolidation process. The role of sleep in the formation and enhancement of false memories was tested. The Deese-Roediger-McDermott (DRM) task was used to induce false memory in thirty-nine male volunteers who either slept or remained awake following learning. Following a night of recovery sleep both groups returned for retrieval of memory. It was found that sleep deprivation in comparison to sleep led to higher false memory.
Extended Fuzzy Hyperline Segment Neural Network for Fingerprint Recognition

In this paper we have proposed Extended Fuzzy Hyperline Segment Neural Network (EFHLSNN) and its learning algorithm which is an extension of Fuzzy Hyperline Segment Neural Network (FHLSNN). The fuzzy set hyperline segment is an n-dimensional hyperline segment defined by two end points with a corresponding extended membership function. The fingerprint feature extraction process is based on FingerCode feature extraction technique. The performance of EFHLSNN is verified using POLY U HRF fingerprint database. The EFHLSNN is found superior compared to FHLSNN in generalization, training and recall time.
Features of future autonomous cars: beyond interior design

The product “car” as it is known since more than 100 years is going to change dramatically over the coming decades. Autonomous vehicles will enable an entirely new travelling experience. Accordingly, the interior concepts and equipment of vehicles are set to shift from a driver-oriented to a “quality of time”-oriented design. In a survey among 2,500 consumers from five different countries (CN, FR, GER, JP, US), this study examines five relevant use cases for autonomous individual transportation and identifies the desired car features correspondingly. The results indicate that “Sleeping & Relaxing” is the most accepted use case, and that a convenient seating/lying position and smooth driving dynamics are seen as key features.
Students Interpretations and Activity in New Learning Environments

We evaluated if the theory of planned behavior explains undergraduate medical and sociology students’ activity in a technology-based learning environment. Two of the considerations of the theory, attitude toward behavior (behavioral beliefs and outcome evaluations) and perceived behavioral control (computer self-efficacy), were evaluated. Students’ approaches to learning and anxiety in computer using situations as well as their interpretations of the environment were also measured. 42 undergraduate medical and sociology students completed the questionnaire assessing attitudes, self-efficacy, anxiety and approaches to learning before and after the web-based courses. The efficacy beliefs, anxiety in computer using situations, approaches to learning and beliefs did not predict the activity in the learning environment, but students interpreted the learning environment more negatively after the course. Students’ anxiety and approaches to learning also affected some of their expectations and experiences after the courses.
A method of quantitative validation based on model distortion

Traditional validation of mathematical models by visual comparison between recorded values and model calculations is regarded as too lenient. The distortion method described provides a practical quantitative validation procedure, in which the distortion that the model must undergo to match a rig or plant test record precisely is used to gauge the model. A numerical fidelity index has been derived.
An Intelligent Memory Allocator with in-built Dynamic Memory Leak Detection and Garbage Collection for Distributed Environment

Memory Leak and Memory Corruption pose a big challenge to the programmers since the very beginning of the programming era. Programming languages such as C and C++ do not support for the detection of Memory leak, memory corruption and garbage collection as other languages, such as JAVA, do. In this paper, we present an independent, self-sufficient Memory Analyzer and Allocator that dynamically detects memory leak in the course of allocating the requested memory to the program, thereby performing garbage collection on the way. This algorithm is a modified version of the traditional Mark & Sweep algorithm for garbage collection. The modified algorithm shows marked performance improvement over the traditional counterpart. It would also provide the user with all statistics in terms of amount and location of memory leak found, amount of corrupted memory and amount of memory successfully collected.
Define responsive design for web-forms using layout editor

There has recently been an emergence of new devices in which users can access the web. These devices have significantly smaller screen sizes than the more common desktop. This results in that the approach to designing web content has to be changed. The approach to design web content that adapts its visual layout to different screen sizes, is referred to as Responsive Web Design.Ida Infront is a company that develops systems and solutions for informationintensive businesses. They are currently examining how to design a layout editor that can be used to define responsive design for web-forms. The purpose of this project is to design and implement a prototype of such a layout editor, which will then be evaluated by Ida Infront.The project is divided into two phases, starting out with the research process, followed by the prototype design process. In the research process, the following is examined: structure of the XML file describing web-forms, Responsive Web Design techniques and technologies appropriate for the layout editor. In the prototype design process, a layout editor prototype allowing responsive design for web-form components, is designed and implemented. The responsive design configuration is added to the web-form XML file.We found that Bootstrap is a suitable technology to define responsive design of web-forms, since placement of web-form components can be translated into a Bootstrap grid system. The resulting layout editor prototype allows responsive configuration in Bootstrap. This is done by utilising the grid system as the underlying structure for placement of web-form components. The prototype also allows configuration for each of the four Bootstrap device classifications, named xs, sm, md and lg. Position and size of webform components are stored for each Bootstrap device classification. The resulting responsive configuration is added into the existing XML file for the web-form.
PROFILE BASED CONCURRENT DATA DOWNLOAD IN CLOUD WITH DATA SHARING AND LOAD BALANCING

 Abstract—Multi element system and multithread processing are now the really excellence of enterprise and personal computing. If accessed constant way. Also multithread processing might literally demean performance. We present the surface of the memory access congestion as they obvious in multithread processing and view their crash an query evolution. We access a system design based on the division parallelism, arranged base on the pooling, and data structures unfavorable to multithread processing. Based on the design, we are going to download at the load time of the data itself. Here we using the concept partition parallelism. If the data owner loads to the cloud server and its splits the into hurls using the partition algorithm. The splitted part of the data uploaded in the cloud server very first, after that the client to download the data from the server. The data stored in an encrypted format in the server.
Cooperative Spectrum Sensing Algorithms For Cognitive Radio Networks

The work presented in this thesis concerns one of the key enabling techniques related to cognitive radio functionalities which is spectrum sensing as well as cooperative spectrum sensing. As cooperative spectrum sensing (CSS) approaches are commonly used for combating fading and improving detection performance, their performances using different combining rules have been analyzed. Due to the low implementation complexity, Goodness of Fit based spectrum sensing has been studied for cognitive radio applications. Motivated by its nice features of local sensing, a distributed consensus spectrum sensing for CR, has been presented, integrating a Goodness of Fit based spectrum sensing scheme.
Integrated wearable device for detection of fetal heart rate and material uterine contractions with wireless communication capability

A wearable patch is provided for use on the body which preferably comprises an ultrasound sensor array, a transmission system coupled to the ultrasound sensor array adapted to provide signal information for ultrasound transmission into the body, and a receiver system coupled to the ultrasound sensor array adapted to receive signal information from the reflected ultrasound signal received from the body. A control circuitry is coupled to the transmission system and the receiver system. The patch is preferably provided with a wireless communication system to permit external control and or communication. Applications range from diagnostics and monitoring, to rehabilitation and wound healing.
BeNeFri Summer School 2009 on Dependable Systems

The BeNeFri Summer School 2009 on Dependable Systems in Schloss Munchenwiler from June 10-12 was organized by four research groups from the Universities of Bern, Fribourg and Neuchâtel. The University of Bern was represented by the research group “Computer Networks and Distributed System” of the Institute of Computer Science and Applied Mathematics at the University of Bern, headed by Prof. Torsten Braun. The research group “Telecommunications, Networks, Security” of the Department of Computer Science, headed by Prof. Ulrich Ultes-Nitsche, represented the University of Fribourg. The University of Neuchâtel was represented by two research groups from the “computer science department (IIUN)”, namely “distributed systems” headed by Prof. Peter Kropf and “dependable systems and networks” headed by Prof. Pascal Felber. The focus of this retreat was to present and discuss recent research results and currently ongoing research activities of the members of the four research groups. The research group members gave twenty-two presentations, from the areas of overlay networks, wireless mesh and sensor networks, network security, distributed systems, zero-proof knowledge, transactions and security in e-voting. Extensive time (typically 45 minutes per talk) has been allocated to allow detailed presentations and discussions. This technical report summarizes the various talks and describes mostly unpublished work that is currently in progress.
How Java increases flexibility & run-time efficiency of MPSoC systems

Embedded software has to meet multiple requirements: power efficiency, soft real-time performance, . but also flexibility and adaptability to ever changing functional requirements. Heterogeneous MPSoC systems offer an interesting platform to meet these requirements. We propose to run a Java Virtual Machine (JVM) on the embedded, general-purpose processor to add the necessary flexibility and adaptability to the system. The techniques proposed in this paper allow the JVM to dynamically partition the application and map the partitions at run-time to the suitable system components and also to reconfigure the system when needed. In doing this, the JVM continuously monitors the communication cost, often a limiting factor in MPSoC design. In previous work we have shown that the JVM can dynamically switch between executing threads on the general-purpose processor or on specific hardware blocks and that it can reduce the communication overhead in the system by up to 86%. In this paper we extend our approach to a reconfigurable platform in which the JVM also decides on the scheduling and mapping of functionality.
Multi-scale and multi-dimensional modelling of music structure using polytopic graphs

In this thesis, we approach these questions by defining and implementing a multi-scale model for music segment structure description, called Polytopic Graph of Latent Relations (PGLR). In our work, a segment is the macroscopic constituent of the global piece. In pop songs, which is the main focus here, segments usually correspond to a chorus or a verse, lasting approximately 15 seconds and exhibiting a clear beginning and end. Under the PGLR scheme, relationships between musical elements within a musical segment are assumed to be developing predominantly between homologous elements within the metrical grid at different scales simultaneously. This approach generalises to the multi-scale case the SystemC the nesting configuration of the graph over the polytope, reflecting the flow of dependencies and interactions as elementary implication systems within the musical segment, the set of relations between the nodes of the graph. The aim of the PGLR model is to both describe the time dependencies between the elements of a segment and model the logical expectation and surprise that can be built on the observation and perception of the similarities and differences between elements with strong relationships. The approach is presented conceptually and algorithmically, together with an extensive evaluation of the ability of different models to predict unseen data, measured using the cross-perplexity value. These experiments have been conducted both on chords sequences, rhythmic and melodic segments extracted from the RWC POP corpus. Our results illustrate the efficiency of the proposed model in capturing structural information within such data.
Governance of electoral preferences, consensus and voting intention

The political system in which it is possible to observe the similarities and differences between groups for and against presidential candidates based on processes of negotiation, mediation, conciliation and arbitration around the management and administration of Information Technologies and Communication is known as governance. This is a growing phenomenon as local or federal elections approach and digital networks are exacerbated as instruments for the promotion or dissuasion of a candidate. In this sense, the objective of the study was to optimize the Governance instrument of the Cyber Political Culture of Carreon (2016) in order to pay the reliability and validity of it; explore the relationship between preferences and expectations regarding voting intentions in a non-probabilistic sample of students using digital networks. From a structural model it was found that the consensus expectation factor determined the intentions to vote. The scope and limits of the exploratory factor analysis of main axes with a simple and oblique promax rotation regarding the confirmation of an orthogonal structure are discussed.
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL FACULDADE DE LETRAS PROGRAMA DE PÓS-GRADUAÇÃO EM LETRAS A AQUISIÇÃO DO CASO NO PORTUGUÊS BRASILEIRO

Remote memories have historically raised the interest of physicians and researchers, because of their importance in structural organization of mnemonic processes. Learning relies on protein synthesis-dependent modifications in synaptic efficacy. Consolidated memories, however, are not permanently stored in the hippocampus. Both in animals and in humans, hipocampal damage hampers recent memories without affecting older ones, which suggests that remote memories are hippocampus-independent. Here, we investigated the involvement of the hippocampus and of the entorhinal, retrosplenial and prefrontal cortices in the expression and long-term storage of inhibitory avoidance memory. Microinfusions of the GABAA antagonist muscimol were given into specific brain structures of male Wistar rats. Our results indicate that the storage and retrieval of recently acquired memories depend on hipocampal integrity whereas, at later stages in mnemonic processing, the hippocampus interacts with other neocortical areas, stimulating connections between different cortical subareas, which then take control of memory storage.
Theoretical and experimental investigation for ?storage less? control of a water pumping system fed by intermittent renewable sources

This paper focuses on an original control experimentally implemented for water pumping system fed by hybrid (PV-Wind) generator without battery storage. The water pumping system uses centrifugal pumps driven by variable speed three phase Induction Motors (IM) controlled by a new Power Field Oriented Control (PFOC). As we have eliminated the battery storage, the system operating point is imposed by the intermittent renewable source, given the hydraulic load characteristic; the basic idea is to use both degrees of freedom offered by the inverter in order to control the DC bus voltage and the rotor flux of the induction machine. Experimental investigations show the satisfying performance of the system even with variable power source.
Constant Time Recovery in Azure SQL Database

Azure SQL Database and the upcoming release of SQL Server introduce a novel database recovery mechanism that combines traditional ARIES recovery with multi-version concurrency control to achieve database recovery in constant time, regardless of the size of user transactions. Additionally, our algorithm enables continuous transaction log truncation, even in the presence of long running transactions, thereby allowing large data modifications using only a small, constant amount of log space. These capabilities are particularly important for any Cloud database service given a) the constantly increasing database sizes, b) the frequent failures of commodity hardware, c) the strict availability requirements of modern, global applications and d) the fact that software upgrades and other maintenance tasks are managed by the Cloud platform, introducing unexpected failures for the users. This paper describes the design of our recovery algorithm and demonstrates how it allowed us to improve the availability of Azure SQL Database by guaranteeing consistent recovery times of under 3 minutes for 99.999% of recovery cases in production.
Towards a framework for efficient resource allocation in wireless networks: Quality-of-service and distributed design

With the fast growing deployment of smart mobile devices and increasingly demanding multimedia applications, the future wireless networks must provide highquality services to mobile users under resource-limited conditions. This necessitates the design of efficient and distributed algorithms with various key characteristics: high throughput, low energy consumption, fast convergence, low delay, and regular service. Earlier works extensively study the first-order metrics, such as throughput, fairness, and energy consumption, and very few of them address the second-order metrics, such as convergence speed, delay and service regularity — critical for the growing time-sensitive and dynamic applications penetrating the wireless networks. Also, it is important to consider the distributed implementations of theoretically proven efficient algorithms. To that end, this dissertation mainly focuses on the following two aspects: (i) the performance and optimization of the second-order metrics; (ii) the distributed algorithm design. In the first part of this dissertation, we first develop a cross-layer algorithm that achieves the optimal convergence speed at which the running average of the received service rates and the network utility over a finite time horizon converges to their respective limits under the discrete transmission rate selections — a typical feature of wireless networks. This result is important in two aspects, in revealing a previouslyunknown limit on how fast the service rates can approach an optimal point, and in providing a new algorithm that achieves the fastest possible speed. Then, we focus