An optimized context-aware mobile computing model to filter inappropriate incoming calls in smartphone

Requests for communication via mobile devices can be disruptive to the receiver in certain social situation. For example, unsuitable incoming calls may put the receiver in a dangerous condition, as in the case of receiving calls while driving. Therefore, designers of mobile computing interfaces require plans for minimizing annoying calls. To reduce the frequency of these calls, one promising approach is to provide an intelligent and accurate system, based on context awareness with cues of a callee's context allowing informed decisions of when to answer a call. The processing capabilities and advantages of mobile devices equipped with portable sensors provide the basis for new context-awareness services and applications. However, contextawareness mobile computing systems are needed to manage the difficulty of multiple sources of context that affects the accuracy of the systems, and the challenge of energy hungry GPS sensor that affects the battery consumption of mobile phone. Hence, reducing the cost of GPS sensor and increasing the accuracy of current contextawareness call filtering systems are two main motivations of this study. Therefore, this study proposes a new localization mechanism named Improved Battery Life in Context Awareness System (IBCS) to deal with the energy-hungry GPS sensor and optimize the battery consumption of GPS sensor in smartphone for more than four hours. Finally, this study investigates the context-awareness models in smartphone and develops an alternative intelligent model structure to improve the accuracy rate. Hence, a new optimized context-awareness mobile computing model named Optimized Context Filtering (OCF) is developed to filter unsuitable incoming calls based on context information of call receiver. In this regard, a new extended Naive Bayesian classifier was proposed based on the Naive Bayesian classifier by combining the incremental learning strategy with appropriate weight on the new training data. This new classifier is utilized as an inference engine to the proposed model to increase its accuracy rate. The results indicated that 7% improvement was seen in the accuracy rate of the proposed extended naive Bayesian classifier. On the other hand, the proposed model result showed that the OCF model improved the accuracy rate by 14%. These results indicated that the proposed model is a hopeful approach to provide an intelligent call filtering system based on context information for smartphones

A Multimodal Analysis of Differences Between TV Commercials and Press Advertisements: A Discoursal Study of Persuasion-Seeking Strategies in the Mass Media

This study reports the findings of a multimodal analysis seeking to find the differences between TV commercials and newspapers advertisements in the application of strategies which make those ads more and more persuasive. Regarding such strategies effort is made to find out which ones are more convincing and appealing to their receivers. The tools used in this study involved 40 tape-recorded TV commercials and 40 ads taken from two Iranian newspapers, Tehran Times and Iran Daily which are published in English as well as the American magazine of Newsweek. The persuasion techniques of each medium were first specified separately and then compared with the techniques used by the others. The main finding of the study was that strategies applied by producers of TV commercials are much more persuasive and impressive than those used by suppliers of advertisements in the press.Key words: Multimodal analysis; TV commercials; Press advertisements; Persuasio

Human Tissue Plasminogen Activator Expression in Escherichia coli using Cytoplasmic and Periplasmic Cumulative Power

Abstract Tissue plasminogen activator (tPA) is a serine protease, which is composed of five distinct structural domains with 17 disulfide bonds, representing a model of high-disulfide proteins in human body. One of the most important limitations for high yield heterologous protein production in Escherichia coli (E. coli) is the expression of complex proteins with multiple disulfide bridges. In this study the combination of two distinct strategies, manipulated cytoplasm and native periplasm, was applied to produce the functional full length tPA enzyme in E. coli. Using a PelB signal peptide sequence at 5' site of tPA gene, the expression cassette was prepared and subsequently was transformed into a strain with manipulated oxidizing cytoplasm. Then the induction was made to express the protein of interest. The SDS-PAGE analysis and gelatin hydrolysis confirmed the successful expression of functional tPA. The results of this study showed that complex proteins can be produced in E. coli using the cumulative power of both cytoplasm and periplasm

An investigation of rotation rate sensitivity of a quantum optomechanical gyroscope with two coupled cavities

In this article, we have shown the design of a quantum optomechanical gyroscope, which is formed by combining a Michelson interferometer with a quantum optomechanical cavity coupled with a simple Fabry-Perot cavity, all located on a rotating table. The optomechanical cavity contains one movable mirror. The movement of the mirror is in both directions of the cavity axis(x-direction) and perpendicular to it(y-direction). A micro-piezoelectric carries out the movement of the mirror in the y-direction and is sinusoidal with the natural vibration frequency of the mirror in the x-direction. Despite the movement of the mirror in the y-direction and also the rotation of the gyroscope around the z-axis, the virtual Coriolis force enters the mirror in the x-direction. This affects the movement of the mirror, which was previously caused by thermal fluctuations and radiation pressure force. Also, the presence of a simple Fabry-Perot cavity and its coupling with the optomechanical cavity helps us to control the amount of energy entering the optomechanical cavity and consequently the radiation pressure inside it. Then in an optimal limit, we can get the best value of gyroscope sensitivity. In this article, we were able to achieve a sensitivity of 2.97 × 10−15 ⁄ √ in angular velocity measurement by using this structure for the gyroscope. At the end of this article, by drawing Alan deviation diagrams in four temperatures = 0, 1, 10, 300, the values of the two basic parameters of gyroscopes, namely ARW and BS were obtaine

A novel composite web service selection based on quality of service

Using the internet, as a dynamic environment thanks to its distributed characteristic, for web service deployment has become a crucial issue in QoS-driven service composition. An accurate adaption should be undertaken to provide a reliable service composition which enables the composited services are being executed appropriately. That is, the critical aspect of service composition is the proper execution of combination of web services while the appropriate service adaption performed with respect to predetermined functional and non-functional characteristics. In this paper, we attempts to deliberate the optimization approaches to devise the appropriate scheme for QoS-based composite web service selection

SARS-CoV-2 and nervous system: From pathogenesis to clinical manifestation

Since the coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a growing body of evidence indicates that besides common COVID-19 symptoms, patients may develop various neurological manifestations affecting both the central and peripheral nervous systems as well as skeletal muscles. These manifestations can occur prior, during and even after the onset of COVID-19 general symptoms. In this Review, we discuss the possible neuroimmunological mechanisms underlying the nervous system and skeletal muscle involvement, and viral triggered neuroimmunological conditions associated with SARS-CoV-2, as well as therapeutic approaches that have been considered for these specific complications worldwide

Illustrated Neuropathologic Diagnosis of Alzheimers Disease.

As of 2022, the prevalence of Alzheimers disease (AD) among individuals aged 65 and older is estimated to be 6.2 million in the United States. This figure is predicted to grow to 13.8 million by 2060. An accurate assessment of neuropathologic changes represents a critical step in understanding the underlying mechanisms in AD. The current method for assessing postmortem Alzheimers disease neuropathologic change follows version 11 of the National Alzheimers Coordinating Center (NACC) coding guidebook. Ambiguity regarding steps in the ABC scoring method can lead to increased time or inaccuracy in staging AD. We present a concise overview of how this postmortem diagnosis is made and relate it to the evolving understanding of antemortem AD biomarkers

SARS-CoV-2 and nervous system: From pathogenesis to clinical manifestation

Since the coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a growing body of evidence indicates that besides common COVID-19 symptoms, patients may develop various neurological manifestations affecting both the central and peripheral nervous systems as well as skeletal muscles. These manifestations can occur prior, during and even after the onset of COVID-19 general symptoms. In this Review, we discuss the possible neuroimmunological mechanisms underlying the nervous system and skeletal muscle involvement, and viral triggered neuroimmunological conditions associated with SARS-CoV-2, as well as therapeutic approaches that have been considered for these specific complications worldwide

The Effect of Statin Therapy in Stroke Outcome: A Double Blind Clinical Trial

Background: Through a clinical trial we evaluated statin therapy benefits over stroke outcome. Methods: All patients with moderate stroke in Middle Cerebral Artery (MCA) were registered during February 2006 to February 2008, in Al Zahra Hospital, Isfahan, Iran. Among 55 patients who were enrolled in the present study, 25 subjects received 20 mg lovastatin daily, for 90 days after stroke attack (group 1) and 30 patients received no treatment (group 2). Patients were assessed at admission, 7 and 90 days after stroke. National Institutes of Health Stroke Scale (NIHSS) score was recorded in the day 1 and 7 in the hospital with a questionnaire and BARTHEL index was estimated 90 days after stroke incidence by a telephone survey or in an outpatient visit. Data were analyzed by means of c2 , ′t′ test and Independent ′t′ test. Results: NIHSS score measured in first day immediately after stroke attack and following 7 days, did not differ significantly in two groups. Moreover, BARTHEL index recorded within 90 days was not also different comparing group 1 and 2. After 90 days, no mortality was recorded in group 2, while one patient expired in group treating with statins (P-value>0.05). Discussion: We did not find statins administration to play any role in stroke recovery and consequent long-term prognosis. More researches with larger samples are needed to establish the possible favorable outcome of statins when administered in cerebrovascular diseases