Advanced algorithm to detect stealthy cyber attacks on automatic generation control in smart grid

One of the basic requirements of today's sophisticated world is the availability of electrical energy, and neglect of this matter may have irreparable damages such as an extensive blackout. The problems which were introduced about the traditional power grid, and also, the growing advances in smart technologies make the traditional power grid go towards smart power grid. Although widespread utilisation of telecommunication networks in smart power grid enhances the efficiency of the system, it will create a critical platform for cyber attacks and penetration into the system. Automatic generation control (AGC) is a fundamental control system in the power grid, and it is responsible for controlling the frequency of the grid. An attack on the data transmitted through the telecommunications link from the sensors to the AGC will cause frequency deviation, resulting in disconnection of the load, generators and ultimately global blackout. In this study, by using a Kalman filter and a proposed detector, a solution has been presented to detect the attack before it can affect the system. Contrary to existing methods, this method is able to detect attacks that are stealthy from the area control error signal and X2-detector. Simulations confirm the effectiveness of this method

Developing an Entrepreneurial Marketing Model in the Service and Processing Industries

This research aims to explain how the concept of entrepreneurial marketing emerges through innovative research and effective convergence between marketing and entrepreneurship and to design an entrepreneurial marketing model in the service and conversion industries by proposing a logical and process-oriented framework. Service and conversion industries, which attract many resources to customers through the provision of services and optimization, can be an effective factor in the economic growth of the country. Given the importance of industries and increasing competitiveness among them, entrepreneurial marketing plays a very important role in achieving organizational goals and making the most profit in the industry. The present research is qualitative in terms of research method in which the meta-combined method has been used to analyze the research literature. Then, using the two-stage Delphi method, the opinions of industry experts and entrepreneurs are classified based on categories and concepts. The statistical correlation between the variables was measured by the Kendall coefficient and the agreement percentage index was used for the reliability of the measurements. The results show that the entrepreneurial marketing model in these industries consists of three categories of factors (contextual, causal, and environmental factors) and dimensions (customer-centric views, creativity, risk-taking, innovation, market-oriented, and opportunity-building). All factors with a high agreement percentage were effective in entrepreneurial marketing in the service and conversion industries

Comparison of immunohistochemical expression of CD10 in keratocystic odontogenic tumor and ameloblastoma

Background: Odontogenic keratocyst (OKC), also called keratocystic odontogenic tumor (KCOT), is a developmental lesion which should be carefully monitored and it exhibits development mechanisms and biologic behaviors different from those of other more common lesions such as dentigerous and radicular cysts. CD10 antigen is a cell surface metalloendopeptidase, which inactivates various peptides that are physiologically active. Studies have shown that increase in the expression of CD10 in the stromal cells helps the progression of the tumor. Ameloblastoma (AB) is a local invasive tumor and given the role of supporting connective tissue stroma in the aggression and progression. The aim of the present study was to comparatively evaluate the expression of CD10 in the connective tissue stroma of AB and OKC as a KCOT. Materials and Methods: In this retrospective, cross-sectional study, 14 paraffin blocks of KCOT and 9 of AB (7 multicystic and 2 unicystic) were evaluated with CD10 immunohistochemical expression in the connective tissue stroma of AB and the connective tissue wall of KCOT. The data were analyzed with Fisher′s exact test (P < 0.05). Results: In 8 samples of 9 AB and in 13 samples of 14 KOT lesions, expression of CD10 was shown. Fisher′s exact test did not reveal any significant differences between these two lesions in the expression of CD10 (P = 0.64). Conclusion: The results of this study propose that high expression rate of CD10 might be one of the reasons for the aggressive behavior of AB and high recurrence rate of OKC and reinforce the classification of OKC as an odontogenic tumor

Measurement of the coherent beam properties at the CoSAXS beamline

The CoSAXS beamline at the MAX IV Laboratory is a modern multi-purpose (coherent) small-Angle X-ray scattering (CoSAXS) instrument, designed to provide intense and optionally coherent illumination at the sample position, enabling coherent imaging and speckle contrast techniques. X-ray tracing simulations used to design the beamline optics have predicted a total photon flux of 1012-1013 photons s-1 and a degree of coherence of up to 10% at 7.1 keV. The normalized degree of coherence and the coherent flux of this instrument were experimentally determined using the separability of a ptychographic reconstruction into multiple mutually incoherent modes and thus the Coherence in the name CoSAXS was verified. How the beamline can be used both for coherent imaging and XPCS measurements, which both heavily rely on the degree of coherence of the beam, was demonstrated. These results are the first experimental quantification of coherence properties in a SAXS instrument at a fourth-generation synchrotron light source

Impact of the COVID-19 pandemic on the success of bariatric surgeries in patients with severe obesity

Introduction: SARS-CoV-2 infection (COVID-19) pandemic may influence the weight outcomes of bariatric surgeries (BS). Here, we intended to compare the weight outcome of patients who underwent bariatric surgery before and during the pandemic time. Methods: In a retrospective, single-center study, the information of two groups of patients; first COVID-19_Group (n=51) consisted of those that underwent BS during the pandemic and completed a year of follow-up, second NonCOVID-19_Group included 50 patients who underwent BS and were followed up before the pandemic. All the patients’ anthropometric and obesity-related disease data were compared between groups. Results: Weight loss and the decrease of body mass index (BMI) one year after the surgery, as well as excess weight loss and total weight loss, were significantly higher in the NonCOVID-19_Group compared to the COVID-19_Group (p 0.05). Conclusion: We showed a significantly poorer weight outcome at the one-year follow-up of the BS during the pandemic compared to the pre-pandemic. These results need further investigations to determine the preventive measures and management by evaluating the associated factors