Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated VCSEL-Microlens Scanner With Large Scan Range

We present an integrated beam steering system with a microlens scanner and a vertical cavity surface-emitting laser (VCSEL) source. The scanner and the VCSEL are assembled with an alignment sphere process and with an accuracy of 121 ± 7μm defined by precision microspheres. The microlens scanner employs an electrostatic comb-drive actuator with prebent springs to extend the maximum displacement to 83 μm; 60% larger than that with standard folded springs. This translates to an angular scan range of ±9.6° with the double sided comb-drive scanner. The mechanical resonance with lens is measured to be 236 Hz.
Importance of Ophtalmological Examination In The Face of Suspicion of Neurocysticercosis

Introduction: Cysticercosis is a parasitosis due to the development of cysticercus larva in various tissues of organism. This infection constitutes a chief problem of public health in developing countries like Madagascar. The purpose of the study is to report one case of neuroocular cysticercosis and to emphasize the importance ophtalmological examination if neurocysticercosis is suspected. Observation: We report the case of 20 years old man at whom a translucent cystic lesion animated with peristaltic movement was discovered during the funduscopic examination that permitted to diagnose a neurocysticercosis. Discussion: In the discussion, we will stress the importance of ophtalmological examination in the face of all suspicion of neurocysticercosis. Conclusion: All in all, in view of the high prevalence of this disease in Madagascar, ophtalmological consultation is of paramount importance.
A Methodology for Online Fatigue Monitoring With Consideration of Temperature-Dependent Material Properties Using Artificial Parameter Method

Following the basis of the ASME codes, the major nuclear components are designed to successfully avoid the fatigue failure. However, such design is generally very conservative and it is necessary to accurately assess the fatigue life of the components for the optimal life. The assessment of fatigue damage accumulation due to the thermal transients is currently performed via online fatigue monitoring systems. The algorithms for online calculation of thermal stress are one of the main components of these systems and are often based on the Green function technique (GFT), in which machine parameters such as fluid temperatures, pressures, and flow rates are converted into metal temperature transients and thermal stresses. However, since the GFT is based upon the linear superposition principle, it cannot be directly used when the temperature-dependent material properties are considered. This paper presents a methodology to consider the temperature- dependent material properties using artificial parameter method. Two cases are presented to compare the results calculated from the proposed models with those calculated by finite element method (FEM). It is found that the temperature-dependent material properties have significant influence on the maximum peak stresses which can be accurately captured by the models proposed in this work.
Adaptive service migration and transaction processing in wireless sensor networks

In this paper, we make a case for service oriented architectures (SOAs) for the programming of wireless sensor networks. For the successful usage of SOAs, techniques like replication and migration of services are a prerequisite. We outline use cases for service migration and show that transaction processing capabilities are necessary for enabling stateful and consistent service migration in wireless sensor networks. We therefore compare different commit protocols with our own and give first evaluation results. Our goal is the adaptive selection of commit protocol, routing protocol and concurrency control protocol in dependency of the required consistency and the given network context to provide the most efficient service migration possible. We describe our approaches and preliminary results.
An epidemiological analysis of potential associations between C-reactive protein, inflammation, and prostate cancer in the male US population using the 2009–2010 National Health and Nutrition Examination Survey (NHANES) data

Prostate cancer is the second leading cause of cancer-related deaths in US males, yet much remains to be learned about the role of inflammation in its etiology. We hypothesized that preexisting exposure to chronic inflammatory conditions caused by infectious agents or inflammatory diseases increase the risk of prostate cancer. Using the 2009–2010 National Health and Nutrition Examination Survey, we examined the relationships between demographic variables, inflammation, infection, circulating plasma C-reactive protein (CRP), and the risk of occurrence of prostate cancer in US men over 18 years of age. Using IBM SPSS, we performed bivariate and logistic regression analyses using high CRP values as the dependent variable and five study covariates including prostate cancer status. From 2009–2010, an estimated 5,448,373 men reported having prostate cancer of which the majority were Caucasian (70.1%) and were aged 40 years and older (62.7%). Bivariate analyses demonstrated that high CRP was not associated with an increased risk of prostate cancer. Greater odds of having prostate cancer were revealed for men that had inflammation related to disease (OR = 1.029, CI 1.029–1.029) and those who were not taking drugs to control inflammation (OR = 1.330, CI 1.324–1.336). Men who did not have inflammation resulting from non-infectious diseases had greater odds of not having prostate cancer (OR = 1.031, CI 1.030–1.031). Logistic regression analysis yielded that men with the highest CRP values had greater odds of having higher household incomes and lower odds of having received higher education, being aged 40 years or older, being of a race or ethnicity different from other, and of having prostate cancer. Our results show that chronic inflammation of multiple etiologies is a risk factor for prostate cancer and that CRP is not associated with this increased risk. Further research is needed to elucidate the complex interactions between inflammation and prostate cancer.
Protecting users against XSS-based password manager abuse

To ease the burden of repeated password authentication on multiple sites, modern Web browsers provide password managers, which offer to automatically complete password fields on Web pages, after the password has been stored once. Unfortunately, these managers operate by simply inserting the clear-text password into the document's DOM, where it is accessible by JavaScript. Thus, a successful Cross-site Scripting attack can be leveraged by the attacker to read and leak password data which has been provided by the password manager. In this paper, we assess this potential threat through a thorough survey of the current password manager generation and observable characteristics of password fields in popular Web sites. Furthermore, we propose an alternative password manager design, which robustly prevents the identified attacks, while maintaining compatibility with the established functionality of the existing approaches.
Generating Reduced Finite State Machine from Concurrent Scenarios Using Static Partial Order Method

Finite state machine (FSM) representation is widely used to perform behavioural analysis and generate test cases from a set of hierarchically organized scenarios written in Message Sequence Charts (MSCs). Brute-force approach of translating MSCs into FSM is impractical, especially when scenarios are executed concurrently. In this paper, we describe how to identify a sequence of message exchanges that are semantically equivalent and apply partial order method to reduce the number of transitions in the FSM. We demonstrate that the proposed technique is scalable by describing the results of a case study in which reduced FSM was automatically generated from a partial specification of digital TV software. ACM Classification: D.2. 4 (Software Engineering – Software/Program Verification)
A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks

The event detection is one of the fundamental researches in wireless sensor networks (WSNs). Due to the consideration of various properties that reflect events status, the Composite event is more consistent with the objective world. Thus, the research of the Composite event becomes more realistic. In this paper, we analyze the characteristics of the Composite event; then we propose a criterion to determine the area of the Composite event and put forward a dominating set based network topology construction algorithm under random deployment. For the unreliability of partial data in detection process and fuzziness of the event definitions in nature, we propose a cluster-based two-dimensional τ-GAS algorithm and fuzzy-decision based composite event decision mechanism. In the case that the sensory data of most nodes are normal, the two-dimensional τ-GAS algorithm can filter the fault node data effectively and reduce the influence of erroneous data on the event determination. The Composite event judgment mechanism which is based on fuzzy-decision holds the superiority of the fuzzy-logic based algorithm; moreover, it does not need the support of a huge rule base and its computational complexity is small. Compared to CollECT algorithm and CDS algorithm, this algorithm improves the detection accuracy and reduces the traffic.
Stresses present in bone surrounding dental implants in FEM model experiments

Purpose: Appropriate selection of material and geometric characteristics of intraosseus pillar implant part creates a possibility to control the bone tissue loading. Design/methodology/approach: A basic tool that is commonly used the evaluation of bone loading state is the linear FEM analysis. It requires setting of appropriate experiment conditions. Hence, an analysis has been carried out in order to determine the influence of dividing method of finite elements (tetragonal type 187 in Ansys system v.11) on stresses in pillar and surrounding bone tissue. Findings: Seeking of loading values cortical bone tissue is highly affected by the increase of mesh density on the edge of implant insertion into the cortex bone. Loading stresses values have significantly increased along with increased mesh density, whereas the differences have even reach 47 MPa. Research limitations/implications: Research has been carried out only for the Ansys system in the linear range assuming standard shape and mechanical characteristics of implant and bone, as well as regarding the after the osseointegration phase because if the presumed complete adherence of the pillar to the bone. Practical implications: Excessive increase of mesh density leads to overestimation of loading stresses values and further to an unjustified increase of pillars’ diameter. At the other hand, too large elements might lead, through an underestimation of loading stress level, to overloading atrophy of bone tissue. Originality/value: This paper points out the necessity of more determined activities aimed on defining appropriate and uniform FEM experiment conditions that would enable achievement of more real results of model researches and their comparability.
Planar PØP: Feature-less pose estimation with applications in UAV localization

We present a featureless pose estimation method that, in contrast to current Perspective-n-Point (PnP) approaches, it does not require n point correspondences to obtain the camera pose, allowing for pose estimation from natural shapes that do not necessarily have distinguished features like corners or intersecting edges. Instead of using n correspondences (e.g. extracted with a feature detector) we will use the raw polygonal representation of the observed shape and directly estimate the pose in the pose-space of the camera. This method compared with a general PnP method, does not require n point correspondences neither a priori knowledge of the object model (except the scale), which is registered with a picture taken from a known robot pose. Moreover, we achieve higher precision because all the information of the shape contour is used to minimize the area between the projected and the observed shape contours. To emphasize the non-use of n point correspondences between the projected template and observed contour shape, we call the method Planar P0P. The method is shown both in simulation and in a real application consisting on a UAV localization where comparisons with a precise ground-truth are provided.
Dark-field spectral imaging microscope for localized surface plasmon resonance-based biosensing

Localized surface plasmon resonance (LSPR) of metal nanoparticles makes red-shift of extinction wavelength with an increase in the refractive index at the surface of the metal nanoparticles. Since biomolecules bound to the metal nanoparticle’s surface induce refractive index change, biosensing based on LSPR effect can be possible by monitoring scattering or absorption spectrum changes. Generally, however, conventional method detects ensemble averaged LSPR signal of a huge number of metal nanoparticles. Here, we have constructed a dark-field spectral imaging microscope in order to monitor the scattering spectra of individual metal nanoparticles, simultaneously. Gold nanorod (GNR) and aptamer are employed to detect ochratoxin A (OTA) related to a carcinogenic illness. An aptamer-target binding mechanism promotes wavelength shift of extinction spectra due to refractive index change within sensing volume of GNR by structural change of aptamer. A number of GNRs can be identified in a dark-field LSPR image, simultaneously. A typical spectrum of a GNR exhibits red-shift after target binding of molecules and OTA detection is extended to the very low concentration of 1 pM level.
Modulation of Immune Response and T-Cell Regulation by Donor Adipose-Derived Stem Cells in a Rodent Hind-Limb Allotransplant Model

Background: In this study, the authors investigated whether donor adipose-derived stem cells have immunomodulatory effects, such as regulation of T cells, modulation of related cytokines, and prolongation of composite tissue allotransplantation survival, in a rodent hind-limb model. Methods: Adipose-derived stem cells were obtained from donor adipose tissue and co-cultured with CD3+ T cells from allogenic splenocytes for in vitro studies. Orthotopic hind-limb allotransplants were performed from Brown Norway to Lewis rats (day 0). Group 1 (control group) did not receive any treatment. Group 2 received cyclosporin A on days 0 to 20. Group 3 received antilymphocyte serum (day –4 and day 1) and cyclosporin A (days 0 to 20). Group 4 received cyclosporin A (days 0 to 20), antilymphocyte serum (day –4 and day 1), and adipose-derived stem cells (2 × 106 cells/time administered intravenously on days 7, 14, and 21). Results: Adipose-derived stem cells exert immunomodulatory effects including suppressing T-cell proliferation and increasing CD4+/CD25+/Foxp3+ regulatory T cells in vitro. The in vivo study revealed that, compared with untreated control, rats administered adipose-derived stem cells along with transient antilymphocyte serum and cyclosporin A treatment had significantly prolonged allotransplant survival (p < 0.001), decreased allotissue rejection, significantly elevated donor cell chimerism, and increased CD4+/CD25+/Foxp3+ regulatory T cells in peripheral blood and alloskin tissue with up-regulation of transforming growth factor-&bgr; and interleukin-10 levels. Conclusions: In combination with transient immunosuppression, adipose-derived stem cells modulate the immune system and significantly prolong allotransplant survival. The underlying mechanisms include changes in antiinflammatory cytokine expression and T-cell functions.
Interference and throughput aware resource allocation for multi-class D2D in 5G networks

This study examines subcarrier and optimal power allocation in orthogonal frequency division multiple access based 5G device-to-device (D2D) networks. To improve spectrum efficiency, D2D users share same subcarriers with the legacy users using underlay approach. In this approach, it is challenging to design an efficient subcarrier and power allocation method for D2D networks which guarantees the quality of service requirements of legacy users. Therefore, the key constraint is to check the interference condition among D2D and legacy users while allocating the same resources to D2D users. In this study, the authors propose a throughput efficient subcarrier allocation (TESA) and geometric water-filling based optimal power allocation (GWFOPA) method for multi-class cellular D2D systems. First, the TESA method selects subcarriers and allocates power equally for D2D users according to their service classes while maintaining interference and data rate constraints. Then, the GWFOPA method is applied to optimise power in a computationally effective way. The objective of TESA and GWFOPA method is to maximise the data rate of each class while maintaining interference constraint and fairness among the D2D users. Finally, the authors present simulation results to evaluate performance of TESA and GWFOPA in terms of throughput, user data rate, and fairness.
Comparative study of novel synchronous machines having permanent magnets in stator poles

Novel stator permanent magnet synchronous machines (SPMSMs) which adopt doubly salient stator and rotor structure and non-overlapping winding are investigated in this paper. Several new SPMSMs topologies are developed, including magnets in the stator poles and on the stator pole surface, respectively. It shows that amongst various SPMSMs, the surface-mounted SPMSM exhibits higher torque density, lower torque ripple and more sinusoidal back-EMF than the pole-mounted SPMSM under the condition of same copper loss.
RED-Worcester - traffic sensitive active queue management

The Internet today carries traffic for applications with a wide range of delay and throughput requirements. Traditional applications such as FTP and e-mail can tolerate high delays due to long router queues in exchange for high throughput. Unfortunately, current Internet routers do not provide a quality of service (QoS) adapted to the current traffic mix. Most active queue management (AQM) techniques are either heavy-weight by requiring significant architectural changes or focus on providing higher throughput at the router without much consideration for queuing delays. DiffServ approaches, such as assured forwarding (AF) and expedited forwarding (EF), provide differentiated service to traffic aggregates. However, they require complicated mechanisms to negotiate service level agreements. Additionally, DiffServ requires traffic monitors, markers, shapers, classifiers and droppers and a framework to enable these components to work together. We propose an extension to ARED called called RED-Worcester to improve overall QoS support at the router by satisfying the average performance requirements of incoming packets in terms of throughput and delay. While not a differential service, RED-Worcester provides a service that better matches the average requirements of all applications without adding much complexity and it requires no additional policing mechanisms, charging mechanisms or usage control.
Methodology for adding and amending glycaemic index values to a nutrition analysis package

Since its introduction in 1981, the glycaemic index (GI) has been a useful tool for classifying the glycaemic effects of carbohydrate foods. Consumption of a low-GI diet has been associated with a reduced risk of developing CVD, diabetes mellitus and certain cancers. WISP (Tinuviel Software, Llanfechell, Anglesey, UK) is a nutrition software package used for the analysis of food intake records and 24 h recalls. Within its database, WISP contains the GI values of foods based on the International Tables 2002. The aim of the present study is to describe in detail a methodology for adding and amending GI values to the WISP database in a clinical or research setting, using data from the updated International Tables 2008.
Carcinomas by Metastatic Murine Mammary Myeloid-Derived Suppressor Cells Induced Suppressors Ex Vivo Than Immature Macrophages Are More Potent Immune

Myeloid-derived suppressor cells (MDSCs) are emerging as potential promoters of metastatic tumor growth, and there is interest in targeting immature MDSCs by inducing their differentiation into more mature myeloid cells. We used all-trans retinoic acid (ATRA) to differentiate MDSCs in mice bearing metastatic 4T1 or 4TO7 murine mammary tumors, and assessed the immune-suppressive mechanisms and potencies of different myeloid cell subpopulations. Metastatic mammary tumors induced the accumulation of distinct populations of immature CD11b + Gr1 + F4/80 2 Ly6C mid Ly6G + MDSCs (“Gr1 + cells”) and mature CD11b + Gr1 2 F4/80 + cells (“F4/80 + cells”) in metastatic target organs. ATRA triggered the differentiation of Gr1 + cells into F4/80 + cells in the lungs and, unexpectedly, enhanced pulmonary metastatic tumor growth. We found that F4/80 + Ly6C 2 Ly6G 2 mature macrophages (M f s) were up to 30-fold more potent immune suppressors than Gr1 + cells on a per-cell basis, which we postulate may contribute to the increased metastatic growth observed with ATRA treatment. F4/80 + cells and Gr1 + cells used different reactive oxygen species (ROS)–mediated mechanisms of immunosuppression ex vivo, with F4/80 + cells producing higher levels of ROS, which is consistent with their superior immunosuppressive abilities. These data highlight the potent immunosuppressive functions of M f s, reveal that M f s can suppress T cell responses via ROS production, and suggest that ROS inhibitors may be useful in promoting antitumor immune
Energy-Efficient Resource Optimization for OFDMA-Based Multi-Homing Heterogenous Wireless Networks

In heterogeneous wireless networks (HetNet), the multihomed user equipment (UE) utilizes multiple access options (AO) simultaneously and aggregate the offered resources from different AOs so as to support the same application, such as media streaming. Two important challenges of the resource optimization in this context are: 1) determining the connection results between UEs and AOs, and 2) determining the amount of radio resources that AOs should allocate to UEs. In this paper, we investigate the energy-efficient resource optimization for the HetNet with multihomed UEs. First, the energy-efficient resource optimization is formulated as an energy efficiency (EE) maximization problem. Second, the nonconcave objective function of EE maximization is converted by a fractional programming theory into a convex optimization problem. Considering that the connection results between UEs and AOs correspond to certain network topology configurations, the convex optimization problem is decomposed into a topology building problem and a resource allocation problem, which are proved as combination optimization and mixed integer nonlinear optimization, respectively. Then, the Markov approximation framework and continuity relaxation method are employed for solving the two problems, respectively. Finally, a joint topology building and resource allocation algorithm are proposed for optimizing the AOs radio resource energy efficiently. Simulation results validate the theoretical analysis of our proposed scheme.