Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure, intuitive and low-cost device authentication for Smart Grid networks

Security concerns about the Smart Grid are becoming more prevalent as the deployment of grid becomes more widespread. In this paper, we propose secure and intuitive device authentication techniques for the Smart Grid enabled Home Area Networks (HANs). We assume a distributed architecture for the HAN which consists of the smart appliances, the smart meter and the gateway. In this architecture, the operating schedules of the appliances are controlled by the gateway based on the pricing and control messages from the smart meter. We propose three different authentication mechanisms for devices in the HAN: 1) between the gateway and the smart meter, 2) between the smart appliances and the HAN, and 3) between the transient devices and the HAN. We show that the adversarial behavior during the authentication of devices such as the man-in-the-middle and impersonation attacks are prevented using the proposed device authentication mechanisms by extensive use of collaboration between different parties. Eventually, we provide secure and intuitive device authentication mechanisms (that require minimum or no user effort) for various parts of the HAN with low computation and communication overheads.
Convivial Decay: Entangled Lifetimes in a Geriatric Infrastructure

This paper discusses the empirical case of an aging and obsolescent infrastructure supporting a space science mission that is currently approaching a known end. Such a case contributes to our understanding of the degrading path at the end-of-life of an infrastructure. During this later stage in the life of infrastructure we can observe common issues associated with aging infrastructures' hardware's material decay, programming languages and software tools reaching end of support, obsolete managerial methodologies, etc. Such a case of infrastructural decay reveals how work of infrastructure maintenance may reach the limits of repair and shift from repair-as-sustaining into a mode of repair-into-decay, actively working towards the end-of-life. What this reveals is that, rather than infrastructural decay being a natural by-product of time's passing, there is active work that goes into producing a convivial decay in which the multiple temporalities of aging and decay are brought into alignment through negotiation of what aging means, its impacts on different forms of work, and even what counts as old and new.
Overlapping conditions among patients with chronic fatigue syndrome, fibromyalgia, and temporomandibular disorder.

BACKGROUND Patients with chronic fatigue syndrome (CFS), fibromyalgia (FM), and temporomandibular disorder (TMD) share many clinical illness features such as myalgia, fatigue, sleep disturbances, and impairment in ability to perform activities of daily living as a consequence of these symptoms. A growing literature suggests that a variety of comorbid illnesses also may commonly coexist in these patients, including irritable bowel syndrome, chronic tension-type headache, and interstitial cystitis. OBJECTIVE To describe the frequency of 10 clinical conditions among patients with CFS, FM, and TMD compared with healthy controls with respect to past diagnoses, degree to which they manifested symptoms for each condition as determined by expert-based criteria, and published diagnostic criteria. METHODS Patients diagnosed as having CFS, FM, and TMD by their physicians were recruited from hospital-based clinics. Healthy control subjects from a dermatology clinic were enrolled as a comparison group. All subjects completed a 138-item symptom checklist and underwent a brief physical examination performed by the project physicians. RESULTS With little exception, patients reported few past diagnoses of the 10 clinical conditions beyond their referring diagnosis of CFS, FM, or TMD. In contrast, patients were more likely than controls to meet lifetime symptom and diagnostic criteria for many of the conditions, including CFS, FM, irritable bowel syndrome, multiple chemical sensitivities, and headache. Lifetime rates of irritable bowel syndrome were particularly striking in the patient groups (CFS, 92%; FM, 77%; TMD, 64%) compared with controls (18%) (P<.001). Individual symptom analysis revealed that patients with CFS, FM, and TMD share common symptoms, including generalized pain sensitivity, sleep and concentration difficulties, bowel complaints, and headache. However, several symptoms also distinguished the patient groups. CONCLUSIONS This study provides preliminary evidence that patients with CFS, FM, and TMD share key symptoms. It also is apparent that other localized and systemic conditions may frequently co-occur with CFS, FM, and TMD. Future research that seeks to identify the temporal relationships and other pathophysiologic mechanism(s) linking CFS, FM, and TMD will likely advance our understanding and treatment of these chronic, recurrent conditions.
A cooperative method for privacy preservation in real-time location monitoring services

This paper explores the problem of preserving location privacy in real-time location monitoring services. Because monitoring personal locations with untrusted service providers may breach monitored individuals' privacy, we adopt the system model that depends on a trusted anonymizer. The main role of the anonymizer is to blur individuals' locations into the cloaking regions for providing location k-anonymity to them. Most existing methods assume that the monitored individuals continually communicate with the anonymizer to report their current locations, and the anonymizer periodically regenerate their cloaking regions. However, this degrades the system performance due to the increased workload at the anonymizer as well as the severe communication bottleneck. With this problem in mind, we propose a distributed and cooperative privacy-preserving method, which leverages the computing capabilities of individuals' handheld devices in order to provide privacy guarantee (i.e., location k-anonymity) for the individuals in an efficient manner in terms of the workload at the anonymizer and the communication cost. The basic idea is to make the anonymizer and the individuals share the process of generating and keeping up-to-date cloaking regions. Through a series of simulations, we verify the efficiency of our work.
Force Dependent Biotinylation of Myosin IIA by α-Catenin Tagged with a Promiscuous Biotin Ligase

Tissues and organs undergo constant physical perturbations and individual cells must respond to mechanical forces to maintain tissue integrity. However, molecular interactions underlying mechano-transduction are not fully defined at cell-cell junctions. This is in part due to weak and transient interactions that are likely prevalent in force-induced protein complexes. Using in situ proximal biotinylation by the promiscuous biotin ligase BirA tagged to α-catenin and a substrate stretch cell chamber, we sought to identify force-dependent molecular interactions surrounding α-catenin, an actin regulator at the sites of cadherin mediated cell-cell adhesion. While E-cadherin, β-catenin, vinculin and actin localize with α-catenin at cell-cell contacts in immuno-fluorescent staining, only β-catenin and plakoglobin were biotinylated, suggesting that this proximal biotinylation is limited to the molecules that are in the immediate vicinity of α-catenin. In mechanically stretched samples, increased biotinylation of non-muscle myosin IIA, but not myosin IIB, suggests close spatial proximity between α-catenin and myosin IIA during substrate stretching. This force-induced biotinylation diminished as myosin II activity was inhibited by blebbistatin. Taken together, this promising technique enables us to identify force sensitive complexes that may be essential for mechano-responses in force bearing cell adhesion.
Passive Spatial Mapping of Inertial Cavitation During HIFU Exposure

A novel method for mapping inertial cavitation activity during high-intensity focused ultrasound (HIFU) exposure is presented. Inertial cavitation has been previously shown to result in increased heat deposition and to be associated with broadband noise emissions that can be readily monitored using a passive receiver without interference from the main HIFU signal. In the present study, the signals received passively by each of 64 elements on a standard diagnostic array placed coaxially with the HIFU transducer are combined using time exposure acoustics to generate maps of inertially cavitating regions during HIFU exposure of an agar-based tissue-mimicking material. The technique is shown to be effective in localizing single-bubble activity, as well as contiguous and disjoint cavitating regions instigated by creating regions of lower cavitation threshold within the tissue phantom. The cavitation maps obtained experimentally are also found to be in good agreement with computational simulations and theoretical predictions. Unlike B-mode imaging, which requires interleaving with the HIFU pulse, passive array-based mapping of cavitation activity is possible during HIFU exposure. If cavitating regions can be directly correlated to increased tissue damage, this novel cavitation mapping technique could enable real-time HIFU treatment monitoring.
And Quantum Affine Algebras

We discuss some aspects of the deformed W-algebras Wq,t[g]. In particular, we derive an explicit formula for the Kac determinant, and discuss the center when t is a primitive k-th root of unity. The relation of the structure of Wq,t[g] to the representation ring of the quantum affine algebra Uq(ĝ), as discovered recently by Frenkel and Reshetikhin, is further elucidated in some examples. ADP-97-49/M60 USC-97/021 math.QA/9801112 January 1998
Expanding Variety of Products vs Intermediate Goods

As the complexity of the economic growth model grows, how to configure technological progress accurately and appropriately, which is an indispensable influence factor to drive up economic growth, is of great importance to the conclusion of the model. Through making a comparison between the two expanding variety technological progresses, we point out the differences between them and their adaptive circs respectively.
Classifier Based on Non-negative Matrix Factorization for Tumor Data Classification

With the development of DNA microarrys technology, it is very important to classify the different tumor types correctly in cancer diagnosis and drug discovery. In this paper, we discuss how to use the nonnegative matrix factorization (NMF) to extract features and illustrate how to adopt classification model to improve the classification accuracy. For the DNA microarrys, the gene expression data is firstly preprocessed for normalization. NMF is then applied to extract features. Finally, we use the Back Propagation Neural Network (BPNN) as the classifier to classify the different samples. In our experiments, we adopt the leukemia and colon datasets to test the validity. The experimental results show that the proposed method yields a good recognition rate.
Image Inpainting Algorithm Based on Successive Elimination

Inpainting is an image interpolation problem with broad applications in image processing and vision analysis. In our research, a new algorithm is proposed for removing objects from digital images and filling in the hole that is left behind in a visually plausible way. To improve the efficiency, successive elimination algorithm ( SEA) is employed to obtain global optimal solution. The experiment results show that the inpainted images are visually pleasant and computational efficiency is improved obviously.
SATISFYING CURRENT AND FUTURE ENERGY DEMAND IN SUB- SAHARAN AFRICAN CITIES: THE IMPLICATIONS FOR URBAN ENVIRONMENTAL SUSTAINABILITY.

This paper revisits the strategy for enhancing urban economic growth and development in view of the disproportionate share accounted for by urban cities in national economic growth and development, which has been estimated at 60 percent for some cities in the developing countries. While considerable efforts are currently expended at curtailing rapid growth in urbanisation, the general expectations are that many of the global cities will develop into mega-cities in the immediate distant future, and much of this manifestation is expected in the developing countries, especially in sub -Saharan Africa. However, the postulation is that the current and future growth potentials of urban cities are drastically limited by severe infrastructure constraints of which energy shortages and supply interruptions predominate. Such features that have become the defining characteristics of sub -Sahara African cities resulted from the unprecedented increases in energy use derived from the growth in demand for electrical goods and motor vehicles, in addition to the huge expansion of the service sector and light manufacturing. This reality has several dimensions to it; the lost output and severe restrictions on expansion in the urban economy has severe consequences for economic growth, employment and income. So is the strategy for meeting current and future energy needs, which will have a drastic impact on the environmental sustainability of sub Saharan African's built environment. While measures to reduce energy consumption is not a viable and serious option because of the likely threat to growth and development but planning for such huge growth in demand and devising appropriate strategies to meet such needs from renewable and decentralised sources presents a possible solution to the problem. This approach forms the basis of this paper, which seeks to analyse the energy balances of sub -Saharan African cities and the constraints posed thereof on growth and development of these cities upon which employment, income, and the likely success poverty alleviation measures crucially depends.
Symbiotic Cell Differentiation and Cooperative Growth for the Emergence of Multicellularity

The origin of multicellularity is a fundamental open question in biology. For multicellular organisms to evolve from an aggregate of unicellular organisms, cells with an identical genotype must first differentiate into several types. Second, this aggregate of distinct cell types should show better growth than that of an isolated cell in the environment. Third, this cell aggregate should show robustness in the number distribution of differentiated cell types. To reveal how an ensemble of primitive cells achieves these conditions, we developed a dynamical-systems model of cells consisting of chemical components with intracellular catalytic reaction dynamics. The reactions convert external nutrients to internal components for cellular growth, and the divided cells interact through chemical diffusion. We found that cells sharing an identical catalytic network spontaneously differentiate induced by cell-cell interactions, and then achieve cooperative division of labor, the mutual use of products among differentiated cell types, enabling a higher growth rate than that in the unicellular case. This symbiotic differentiation emerged for a class of reaction networks under the condition of nutrient limitation and strong cell-cell interactions. Then, robustness in the cell type distribution was achieved, while instability of collective growth sometimes emerged even among the cooperative cells when the internal reserves of chemical products is dominant. The simplicity and generality of the present mechanism suggests that evolution to multicellularity is a natural consequence of interacting cells with limited resources, being consistent with the behaviors and forms of several extant primitive forms of multicellularity, such as certain bacteria.
Determination of the Time of Contagion in Capital Markets Based on the Switching Model

This article attempts to compare conclusions made about market contagion based on the periods indicated by using the Markov-switching model and based on a range for unconditional correlations as well as on arbitrary arrangements. DCC-model was used to control for correlation change over time. Determination of extremely high correlations by using a range for unconditional correlations and the MS(3) switching model yields similar results regarding conclusions about the occurrence of the process of contagion in a market. Conclusions about contagion are, however, made at a higher significance level in the case of the switching model.
Distinct developmental programs require different levels of Bmp signaling during mouse retinal development

The Bmp family of secreted signaling molecules is implicated in multiple aspects of embryonic development. However, the cell-type-specific requirements for this signaling pathway are often obscure in the context of complex embryonic tissue interactions. To define the cell-autonomous requirements for Bmp signaling, we have used a Cre-loxP strategy to delete Bmp receptor function specifically within the developing mouse retina. Disruption of a Bmp type I receptor gene, Bmpr1a, leads to no detectable eye abnormality. Further reduction of Bmp receptor activity by removing one functional copy of another Bmp type I receptor gene, Bmpr1b, in the retina-specific Bmpr1a mutant background, results in abnormal retinal dorsoventral patterning. Double mutants completely lacking both of these genes exhibit severe eye defects characterized by reduced growth of embryonic retina and failure of retinal neurogenesis. These studies provide direct genetic evidence that Bmpr1a and Bmpr1b play redundant roles during retinal development, and that different threshold levels of Bmp signaling regulate distinct developmental programs such as patterning, growth and differentiation of the retina.
A comparative study on software reuse metrics and economic models from a traceability perspective

A fundamental task when employing software reuse is evaluating its impacts by measuring the relation of reused and developed software, the cost for obtaining reuse and the cost avoided by reusing software during development and maintenance. Different reuse related metrics exist in the literature, varying from strictly code-based metrics, aiming to measure the amount of code reused in a product, to more elaborate cost-based metrics and models, aiming to measure the costs involved in reuse programs and to evaluate the impacts of reuse in software development. Although reuse is commonly claimed to benefit maintenance, the traceability problem is still neglected on the reuse metrics arena, despite its great impacts on software maintenance. Reuse metrics may be used as important support tools for dealing with the traceability between reused assets and their clients. The goal of this work is to evaluate the current state of the art on the reuse metrics area with special emphasis on code-based metrics, building on previous surveys with further analysis and considerations on the applicability of such metrics to reuse traceability.
Adaptive Join Operators for Result Rate Optimization on Streaming Inputs

Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data are provided by autonomous data sources through heterogeneous network environments. Their main advantage over traditional join techniques is that they can start producing join results as soon as the first input tuples are available, thus, improving pipelining by smoothing join result production and by masking source or network delays. In this paper, we first propose Double Index NEsted-loops Reactive join (DINER), a new adaptive two-way join algorithm for result rate maximization. DINER combines two key elements: an intuitive flushing policy that aims to increase the productivity of in-memory tuples in producing results during the online phase of the join, and a novel reentrant join technique that allows the algorithm to rapidly switch between processing in-memory and disk-resident tuples, thus, better exploiting temporary delays when new data are not available. We then extend the applicability of the proposed technique for a more challenging setup: handling more than two inputs. Multiple Index NEsted-loop Reactive join (MINER) is a multiway join operator that inherits its principles from DINER. Our experiments using real and synthetic data sets demonstrate that DINER outperforms previous adaptive join algorithms in producing result tuples at a significantly higher rate, while making better use of the available memory. Our experiments also shows that in the presence of multiple inputs, MINER manages to produce a high percentage of early results, outperforming existing techniques for adaptive multiway join.
A New Formulation of Face Sketch Multiple Features Detection Using Pyramid Parameter Model and Simultaneously Landmark Movement

4Summary There are many cases when crimes happened, the criminals can not be identified. But with the help of the eyewitness reconstruction, the sketchers can make the suspects’ face to help the identification. With this in mind, we propose a new formulation of face sketch multiple features detection. It is conducted by using the Pyramid Parameter Model and simultaneously landmark movements’ improvement. Our proposed method is divided into four stages: training, create image gradient, shape initialization, and multiple features detection processes. The last stage is started by searching the maximum line gradient value between two landmarks. Thus, by using the Similarity Transformation Equation, the set of landmarks (shape) will be simultaneously moved. The movements are conducted by reducing the range and parameter value on each movement. This process is called Pyramid Parameter Model. The position of new landmark is enhanced by using simultaneously landmark movements on each shape. As the testing set, we use 50 halftone and 50 hatching face sketches. Each sketch is examined by using 38 landmarks of 7 features. The experimental results show that the average of detection rate is 93.28% for halftone and 93.03% for hatching face sketch.
Security-effective fast authentication scheme for PMIPv6-based NEMO with global mobility support

Internet is getting more mobile and the service environment for users is getting more ubiquitous due to rapid development in the wireless network technology. Besides, as for MNN (Mobile Network Node: like vehicle, train, airplane, ship, etc.), telecommunication devices which intend to receive various and high quality Internet services by accessing to Internet not only from fixed places but also under high speed movement are in a trend of getting increased. This paper reinforced security under the network evaluation of wire/wireless integration of PMIPv6-based NEMO. Moreover, fast handoff technique was also adopted to reduce handoff delay time in PMIPv6 and X-FPMIPv6 (eXtension of Fast Handoff for PMIPv6) was used to support global mobility. In addition, AX-FPMIPv6 (Authentication eXtension of Fast Handoff for PMIPv6) is proposed which integrated SK-L2AM and X-FPMIPv6 by applying Piggybacks method to reduce the overhead of authentication and signaling. Our proposed scheme shows better performance than the existing schemes in authentication and handoff delay.