Miracle-dz/UniFAR-FTUs huggingface dataset:
Applications of networked virtual reality for tele-operation and tele-assistance systems in the mining industry

The mining industry is interested in tele-operation systems to remove mining operators from hazardous or inconvenient environments without losing efficiency. Technologies to enhance the operator's experience are advancing but there is a lack of evidence supporting the extent to which these emerging technologies positively affect user experience. In this paper, we describe three applications that make use of networked virtual and mixed reality. These prototype systems each represent a step towards new VR based technologies that will increase the efficiency and safety of the mining industry.
Predicting clicks of PubMed articles

Predicting the popularity or access usage of an article has the potential to improve the quality of PubMed searches. We can model the click trend of each article as its access changes over time by mining the PubMed query logs, which contain the previous access history for all articles. In this article, we examine the access patterns produced by PubMed users in two years (July 2009 to July 2011). We explore the time series of accesses for each article in the query logs, model the trends with regression approaches, and subsequently use the models for prediction. We show that the click trends of PubMed articles are best fitted with a log-normal regression model. This model allows the number of accesses an article receives and the time since it first becomes available in PubMed to be related via quadratic and logistic functions, with the model parameters to be estimated via maximum likelihood. Our experiments predicting the number of accesses for an article based on its past usage demonstrate that the mean absolute error and mean absolute percentage error of our model are 4.0% and 8.1% lower than the power-law regression model, respectively. The log-normal distribution is also shown to perform significantly better than a previous prediction method based on a human memory theory in cognitive science. This work warrants further investigation on the utility of such a log-normal regression approach towards improving information access in PubMed.
Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs

This paper presents a pioneering approach for weld bead detection in radiographic images obtained by the Double Wall Double Image (DWDI) technique. Such task constitutes an essential step for several high level processes, such as fully automatic flaw identification on welded joints. Sets of sample pixels, corresponding to candidate solutions provided by a genetic algorithm (GA), are compared to pre-defined synthetic weld bead and pipe models in an image matching procedure. The fitness of each set (individual) is evaluated based on a linear combination of its genotype (evaluated by a heuristic function) and phenotype. The evolutionary process automatically selects the best individual in the population and, thus, provides information such as position, orientation and dimension of the detected object. The proposed approach successfully detects pipes and weld beads in radiographic images of different complexities, encouraging future works.
Back-Gate Fully Depleted Silicon-on-Insulator P-Channel Schottky Barrier MOSFET With Ultrahigh Voltage Sensitivity for Label-Free Virus RNA Detection

This work reports a planar fully depleted silicon-on-insulator (FDSOI) p-channel Schottky barrier (SB) metal–oxide–semiconductor field-effect transistor (MOSFET) for ORF1ab RNA gene detection RNA field-effect transistor (RNAFET). The gold nanoparticle/high-K hafnium dioxide/FDSOI SB-PMOSFET biosensor with ultrahigh voltage sensitivity is demonstrated. It is measured by the inherent back gate without a liquid-gate electrode. The very thin top-Si channel of FDSOI requires the metal source/drain (S/D) contact rather than the ion implantation doping to avoid ion penetration in the buried oxide (BOX) layer, which helps to obtain a good bake-gate RNAFET biosensor to achieve the high voltage sensitivity. The back-gate measurement operation can amplify the voltage readout response through the strong capacitive coupling effect of double-gate device itself, thus significantly improving the detection sensitivity but without additional amplifying circuitry. For the RNAFET biosensor, the hybridization between the charged ribonucleic acid (RNA) analyte and the complementary probe deoxyribonucleic acid (DNA) can shift the device threshold voltage ( $V_{\mathrm {th}}$ ). It shows that the back-gate $V_{\mathrm {th}}$ sensitivity can actually be up to 1.765 V/log[RNA] for ORF1ab gene detection, which is ~100 times improvement over a conventional liquid-gate Si MOSFET DNA biosensor.
High Speed Homology Search with FPGAs

We will introduce a way how we can achieve high speed homology search by only adding one off-the-shelf PCI board with one Field Programmable Gate Array (FPGA) to a Pentium based computer system in use. FPGA is a reconfigurable device, and any kind of circuits, such as pattern matching program, can be realized in a moment. The performance is almost proportional to the size of FPGA which is used in the system, and FPGAs are becoming larger and larger following Moore's law. We can easily obtain latest/larger FPGAs in the form off-the-shelf PCI boards with FPGAs, at low costs. The result which we obtained is as follows. The performance is most comparable with small to middle class dedicated hardware systems when we use a board with one of the latest FPGAs and the performance can be furthermore accelerated by using more number of FPGA boards. The time for comparing a query sequence of 2,048 elements with a database sequence of 64 million elements by the Smith-Waterman algorithm is about 34 sec, which is about 330 times faster than a desktop computer with a 1 GHz Pentium III. We can also accelerate the performance of a laptop computer using a PC card with one smaller FPGA. The time for comparing a query sequence (1,024) with the database sequence (64 million) is about 185 sec, which is about 30 times faster than the desktop computer.
Cooperative Black Hole Detection Mechanism in Mobile Ad Hoc Network

A MANET (mobile ad hoc network) is a collection of independent nodes that communicate with each other by organizing a multi-hop radio network by sustaining connections that are decentralized. MANET has open medium, includes dynamically changing topology, absence of centralized monitoring points and less clear lines of defense, and because of this security in a MANET is a critical issue. Ad hoc ondemand distance vector (AODV) is a well-known routing algorithm. It is assailable to attacks like black hole and gray hole. In a black hole attack a malicious node act like ordinary node, but if a data packet passes through malicious node it consumes data packet and never forward it to neighboring nodes, whereas in a gray hole attack the malicious node will forward the data packet with selective data. In this paper we are presenting a defense mechanism for detection of cooperative black hole attack by multiple black hole nodes and the prevention of attack in multiple base stations. The simulation carried out on the proposed mechanism has produced results that elaborate the detection mechanism against the attack while maintaining a level of throughput in MANET.
Emotion Regulation Strategies Can Predict Task-Switching Abilities in Euthymic Bipolar Patients

This study examined task-switching abilities and emotion regulation strategies in euthymic bipolar patients (EBP). Forty EBP and 40 healthy individuals performed face categorization tasks where they switched between emotion and non-emotion (i.e., gender) features among faces and completed emotion regulation questionnaire (Gross and John, 2003). Subject groups showed substantial differences in task-switching abilities and emotion regulation strategies: (1) there was a dissociation between emotion and gender classification in EBP. The switch cost was larger [i.e., higher reaction times (RTs) on switch as compared to no-switch trials] for gender categorization as compared to the emotion categorization task. In contrast, such asymmetries were absent among healthy participants. The differential pattern of task switching reflected functional disturbances in frontotemporal neural system and an attentional bias to emotion features of the faces in EBP. This suggests that when a euthymic bipolar patient is preoccupied with emotion recognition, an instruction to perform gender categorization results in greater cost on RTs. (2) In contrast to healthy individuals, EBP reported more frequent use of emotion suppression and lesser use of cognitive reappraisal as emotion regulation strategy. (3) Emotion regulation was found to be a significant predictor of task-switching abilities. It is argued that task switching deficits rely on maladaptive emotion regulation strategies in EBP specifically when tasks of emotional significance are involved.
The best of both worlds: unifying conventional dialog systems and POMDPs

A system for producing color water and colored ice cubes in various shapes, having a control unit with front panel buttons which allow a user to select a color. Dye reservoirs are provided which are selectively dispensed into a mixing chamber to provide the selected color, where they are combined with water and chilled. The colored water is provided to a dispensing unit which selectively dispenses the colored water, or creates colored ice cubes for subsequent dispensing. Ice trays are removably secured within the dispensing unit to allow various shaped ice cubes to be produced.
Towards the Use of Crowdsourced Volunteered Meteorological Data for Forest Fire Monitoring

Static geosensor networks equipped with variety of sensors are used for collecting and transmitting physical data from their surrounding environment. These geosensor networks are used for monitoring potential disaster areas for early warning systems. Weather stations are an example of such static geosensor networks used for the collection of meteorological data, as temperature, humidity, pressure, wind direction and speed, used, for example, as input data for forest fire prediction and behavior systems. Nevertheless, static geosensor networks show some limitations, in terms of insufficient coverage, low density, nondynamical, limited power source and budget constraints. In recent years, the use of crowdsourced Volunteered Geographic Information (VGI) has emerged as a working methodology for retrieving real-time data in disaster areas; thus, allowing real-time and continuous aggregation of data and production of information. Using VGI methodologies, having the capacity of collecting dynamic real-time data can reduce deficiencies related to the use of static geosensor networks. This study is aimed at proving the feasibility of using VGI data as a reliable data source for reducing weather geosensor network limitations along with estimating the reliability and accuracy of crowdsourced data. This is done by analyzing the observations made by smartphones to prove their capacity. An example is presented to emphasize the potential of using crowdsourced VGI to densify and enhance static
Stochastic evolution and multifractal classification of prokaryotes

We introduce a model for simulating mutation of prokaryote DNA sequences. Using that model we can then evaluated traditional techniques like parsimony and maximum likelihood methods for computing phylogenetic relationships. We also use the model to mimic large scale genomic changes, and use this to evaluate multifractal and related information theory techniques which take into account these large changes in determining phylogenetic relationships.
Distribution System Harmonic Filter Planning

A planning methodology for distribution system harmonic filtering is proposed. The method is intended for use on radial distribution systems with no large harmonic sources. It is proposed that 60 hertz VAr planning be done first to allocate the VAr resources. Following this process, the harmonic filter planning can be readily accomplished. Characteristics of the distribution systems and the harmonic sources are exploited to provide a practical filter planning technique which is effective and efficient.
Correlation Between Acute Phase Delta NIHSS and Quality of Life Score in Post Thrombotic Infarct Stroke Patient in Dr. Moewardi General Hospital via Tele-Stroke Specific Quality of Life-12 Questionnaire (SSQOL-12)

Introduction: Stroke is one of the most common diseases causing disability. Stroke severity assessed using National Institute Health Stroke Scale (NIHSS) was recognized affecting quality of life in stroke patients. This study evaluated the NIHSS delta as a predictor of quality of life in thrombotic stroke patientsMethods: This study was conducted from January to September 2022 with cross-sectional approach. At inpatient setting, NIHSS was assessed at admission, first 24 hours, and discharge. Patient’s quality of life was evaluated using the SSQOL-12 questionnaire via telephone. Bivariate linear regression analysis was used to assess this correlation.Results: Demographic data of 61 patients showed that 65.4% of patients were male, 54.1% of patients aged <60 years, and 67.2% had moderate stroke (NIHSS 6-15). The results of bivariate analysis using linear regression showed that both the 24 hour-delta NIHSS and the delta NIHSS-admission-discharge were positively related to SSQOL-12 score (p = 0.000). Conclusion: Delta NIHSS can be used as clinical improvement predictor with positive correlation to the quality of life in thrombotic stroke patients
Oxygen therapy in acute exacerbations of chronic obstructive pulmonary disease

During the last decade, there have been major advances in knowledge of the effects of oxygen therapy in patients with acute exacerbations of chronic obstructive pulmonary disease. This includes a randomised controlled trial of oxygen therapy in the pre-hospital setting, which showed that high concentration oxygen therapy leads to a 2.4-fold increased risk of mortality compared with titrated oxygen therapy to maintain oxygen saturations (SpO2) within a target range of 88–92%. Professional guidelines now recommend the use of supplementary oxygen in acute exacerbations of chronic obstructive pulmonary disease only if the SpO2 is less than 88%, with titration to achieve an SpO2 of 88–92%, and the delivery of bronchodilators by air-driven nebulisation or metered dose inhaler with a spacer. The aim of this review is to provide an overview of the evidence base that underpins these recommendations. We suggest that their implementation will require important changes to current clinical practice in which there is an entrenched culture of the use of high concentration oxygen therapy.
Sequential Bayes-optimal Policies for Multiple Comparisons with a Control

We consider the problem of efficiently allocating simulation effort to determine which of several simulated systems have mean performance exceeding a known threshold. This determination is known as multiple comparisons with a control. Within a Bayesian formulation, the optimal fully sequential policy for allocating simulation effort is the solution to a dynamic program. We show that this dynamic program can be solved efficiently, providing a tractable way to compute the Bayes-optimal policy. The solution uses techniques from optimal stopping and multi-armed bandits. We then present further theoretical results characterizing this Bayes-optimal policy, compare it numerically to several approximate policies, and apply it to an application in ambulance positioning.
Broadband beamforming with adaptive postfiltering for speech acquisition in noisy environments

In this paper the implementation of a broadband beamformer which is built up by several harmonically nested subarrays for each octave band combined with optimal postfiltering is described. This method has the advantage of providing large sensor distances for the postfilter estimation by simultaneously controlling the directivity of the array. The selection of an optimal postfilter is discussed in detail and its estimation based on a Nuttall/Carter method for spectrum estimation is described. The resulting noise reduction system yields improved performance in diffuse noise fields and no distortions in the case of coherent direct path noise. Furthermore, the system is robust to steering misadjustment.
A runtime manager for gracefully degrading SoCs

The increasing number of transistors integrated on a single chip comes with the blessing of raw computational power and the curse of susceptibility to various kinds of faults. On top of increased defect densities, wearout effects mean that the testing verdict at fabrication time cannot be trusted throughout the chip lifetime. However, extra computational power presents the opportunity to build gracefully degrading MPSoCs. Re-configurable components and flexible workloads, along with runtime support, enable MPSoCs to deal with permanent faults degrading one or more system aspects, such as performance, energy efficiency and delivered functionality, instead of failing. In this manner, chip life is prolonged and safety is increased. In this work Graceful Degradation (GD) is formulated as an optimization problem in the context of MPSoCs. As such, its possible solutions can be evaluated in a parameterizable and consistent manner. An attempt at a runtime solution for a heterogeneous 4-core SoC is made and the resulting GD manager is evaluated in terms of speed and accuracy, with a use case combining essential automotive tasks and non-essential additional features. On average, it is found to produce a solution 89% as good as the optimal, in 4. 3μsec running on one core of a common modern CPU.
Issues of Page Representation and Organisation in Web Browser's Revisitation Tools

Many commercial and research WWW browsers include a variety of graphical revisitation tools that let users return to previously seen pages. Examples include history lists, bookmarks and site maps. In this paper, we examine two fundamental design and usability issues that all graphical tools for revisitation must address. First, how can individual pages be represented to best support page identification? We discuss the problems and prospects of various page representations: the pages themselves, image thumbnails, text labels, and abstract page properties. Second, what display organisation schemes can be used to enhance the visualisation of large sets of previously visited pages? We compare temporal organisations, hub-and spoke dynamic trees, spatial layouts and site maps.
Pleomorphous leiomyosarcoma of the mesocolon: a case report

Leiomyosarcoma is a rare tumor of the smooth muscle, but relatively frequent in the stomach and the small intestine. The mesocolic site is rare. Globally, leimyosarcoma represents less than 0, 1% of the malignant tumors found in the colon and the anus. Because of the similarities with other digestive tumors, namely mesenchymatous or benign tumors of the smooth muscle, the diagnosis of a pleomorphic sarcoma remains difficult even at the histological stage. Surgery is the mainstay of the therapy. We report a case of leiomyosarcoma of the mesocolon and discuss about its main characteristics in the view of the current literature about this pathological condition.
Knowledge Acquisition during Exam Preparation Improves Memory and Modulates Memory Formation

According to the schema-relatedness hypothesis, new experiences that make contact with existing schematic knowledge are more easily encoded and remembered than new experiences that do not. Here we investigate how real-life gains in schematic knowledge affect the neural correlates of episodic encoding, assessing medical students 3 months before and immediately after their final exams. Human participants were scanned with functional magnetic resonance imaging while encoding associative information that varied in relatedness to medical knowledge (face–diagnosis vs face–name pairs). As predicted, improvements in memory performance over time were greater for face–diagnosis pairs (high knowledge-relevance) than for face–name pairs (low knowledge-relevance). Improved memory for face–diagnosis pairs was associated with smaller subsequent memory effects in the anterior hippocampus, along with increased functional connectivity between the anterior hippocampus and left middle temporal gyrus, a region important for the retrieval of stored conceptual knowledge. The decrease in the anterior hippocampus subsequent memory effect correlated with knowledge accumulation, as independently assessed by a web-based learning platform with which participants studied for their final exam. These findings suggest that knowledge accumulation sculpts the neural networks associated with successful memory formation, and highlight close links between knowledge acquired during studying and basic neurocognitive processes that establish durable memories. SIGNIFICANCE STATEMENT In a sample of medical students, we tracked knowledge accumulation via a web-based learning platform and investigated its effects on memory formation before and after participants' final medical exam. Knowledge accumulation led to significant gains in memory for knowledge-related events and predicted a selective decrease in hippocampal activation for successful memory formation. Furthermore, enhanced functional connectivity was found between hippocampus and semantic processing regions. These findings (1) demonstrate that knowledge facilitates binding in the hippocampus by enhancing its communication with the association cortices, (2) highlight close links between knowledge induced in the real world and basic neurocognitive processes that establish durable memories, and (3) exemplify the utility of combining laboratory-based cognitive neuroscience research with real-world educational technology for the study of memory.
Distribution, Persistence, and Efficacy of Adoptively Transferred Central and Effector Memory-Derived Autologous Simian Immunodeficiency Virus-Specific CD8+ T Cell Clones in Rhesus Macaques during Acute Infection

Plasma viremia decreases coincident with the appearance of virus-specific CD8+ T cells during acute HIV or SIV infection. This finding, along with demonstrations of viral mutational escape from CD8+ T cell responses and transient increase in plasma viremia after depletion of CD8+ T cells in SIV-infected monkeys strongly suggest a role for CD8+ T cells in controlling HIV/SIV. However, direct quantitative or qualitative correlates between CD8+ T cell activity and virus control have not been established. To directly assess the impact of large numbers of virus-specific CD8+ T cells present at time of SIV infection, we transferred in vitro expanded autologous central and effector memory-derived Gag CM9-, Nef YY9-, and Vif WY8-specific CD8+ T cell clones to acutely infected rhesus macaques. The cells persisted in PBMCs between 4 and 9 d, but were not detected in gut-associated lymphoid tissue or lymph nodes. Interestingly, a high frequency of the infused cells localized to the lungs, where they persisted at high frequency for >6 wk. Although persisting cells in the lungs were Ag reactive, there was no measurable effect on virus load. Sequencing of virus from the animal receiving Nef YY9-specific CD8+ T cells demonstrated an escape mutation in this epitope <3 wk postinfection, consistent with immune selection pressure by the infused cells. These studies establish methods for adoptive transfer of autologous SIV-specific CD8+ T cells for evaluating immune control during acute infection and demonstrate that infused cells retain function and persist for at least 2 mo in specific tissues.