High Capacity Data Embedding using joint Intermediate Significant Bit (ISB) and Least Significant Bit (LSB) Technique

The success of the Internet, coupled with availability of relatively inexpensive digital devices has created an environment in which it has become very easy to obtain, replicate and distribute digital content without any loss in quality. In such a scenario, data hiding has received significant attention from the research community round the globe, as it has been found useful in various areas like copyright protection, copy control, fingerprinting, content authentication and information security. Least Significant Bit based data hiding techniques have been used as effective means to hide the data to be secured, but they are less robust in nature. This paper presents a high capacity data hiding technique in which the data to be secured is embedded in Intermediate Significant Bits in addition to Least Significant Bits of cover image. The data to be embedded is broken down in data blocks of variable length and each block is embedded in the cover media in such a way that highest length data vector is embedded in lower order bit plane and vice-versa. This work shows attractive results with respect to imperceptibility and capacity when compared with a few reported techniques. Key Words: Intermediate Significant Bit, Embedding, Imperceptibility, Least Significant Bit.

On the Realization of Non-Linear Pseudo-Noise Generator for various Signal Processing and Communication Applications

In digital communication systems and digital signal processing, the design of pseudo-noise (PN) sequences having good correlation properties has been one of the most important development steps. Its well-known application areas include spread spectrum communications, Multiuser Communications, Digital Signal Processing for reduction of power spectral density, mitigation of Multiple Access Interference (MAI) and improvement of signal to noise ratio (SNR) respectively. In this paper a performance of non- linear PN code generator for interference rejection improvement of signal to noise ratio in signal processing applications have been studied.  The signal of interest can be considered to be a digitally controlled wide band digital chaotic signal, which has been implemented by conventional PN code generators.  The proposed technique can be used as an alternative code for improvement in signal to noise ratio, interference rejection, spreading code for various signal processing and communication applications.  The proposed scheme has been implemented using matlab as a simulation tool.  Power spectral density, auto-correlation and cross-correlation property have been thoroughly studied and has been compared with conventional scheme and are presented in the paper. Keywords: PN Code Generator, Spread Spectrum Modulation, Auto-correlation, Cross-correlation, Power Spectral Density

Data Hiding in Color Images: A High Capacity Data Hiding Technique for Covert Communication

A high capacity data hiding technique using color images as cover medium and referred to as 4R-4G-4B technique has been investigated and presented in this paper. The color image is firstly divided into its constituent bit planes followed by data embedding. To thwart the adversary different embedding algorithms have been used for embedding data in Red, Green and Blue planes. Additional layer of security to the embedded data is added by embedding secret data at the pseudorandom locations determined by Main Address Vector (MAV) and Complementary Address Vector (CAV). The comparison of our method with an existing technique shows that proposed technique is capable of providing better quality stego-images even if the embedded data is slightly more. A 2.7dB increase in PSNR in case of proposed technique substantiates the argument

Idiopathic pulmonary hemosiderosis - A rare cause of chronic anemia

Idiopathic pulmonary hemosiderosis (IPH) is a rare disease marked by alveolar bleeding and accumulation of hemosiderin in the lungs. Here we present three cases of IPH. The first case is of a 26-year-old male with anemia, hemoptysis and dyspnea. Bronchoscopy confirmed diffuse alveolar hemorrhage (DAH). A diagnosis of IPH was made after ruling out other causes of DAH and observing good response to steroids. The patient\u27s condition improved with prednisolone and azathioprine. The second case is of 26-year-old female with severe anemia. Imaging suggested IPH and lung biopsy confirmed it. She died shortly afterwards. The third case is of a 7-year-old male with chronic anemia. CT was suggestive of IPH and lung biopsy confirmed the diagnosis. Later, patient developed posterior reversible encephalopathy syndrome (PRES). This patient is stable on azathioprine and prednisolone. We aim to emphasize the importance of considering IPH as a differential in patients with DAH or chronic anemia

Wearable artificial intelligence for anxiety and depression: A scoping review

Background: Anxiety and depression are the most common mental disorders worldwide. Owing to the lack of psychiatrists around the world, the incorporation of AI and wearable devices (wearable artificial intelligence (AI)) have been exploited to provide mental health services. Objective: The current review aimed to explore the features of wearable AI used for anxiety and depression to identify application areas and open research issues. Methods: We searched 8 electronic databases (MEDLINE, PsycINFO, EMBASE, CINAHL, IEEE Xplore, ACM Digital Library, Scopus, and Google Scholar). Then, we checked studies that cited the included studies, and screened studies that were cited by the included studies. Study selection and data extraction were carried out by two reviewers independently. The extracted data were aggregated and summarized using the narrative synthesis. Results: Of the 1203 citations identified, 69 studies were included in this review. About two thirds of the studies used wearable AI for depression while the remaining studies used it for anxiety. The most frequent application of wearable AI was diagnosing anxiety and depression while no studies used it for treatment purposes. The majority of studies targeted individuals between the ages of 18 and 65. The most common wearable devices used in the studies were Actiwatch AW4. The wrist-worn devices were most common in the studies. The most commonly used data for model development were physical activity data, sleep data, and heart rate data. The most frequently used dataset from open sources was Depresjon. The most commonly used algorithms were Random Forest (RF) and Support Vector Machine (SVM). Conclusions: Wearable AI can offer great promise in providing mental health services related to anxiety and depression. Wearable AI can be used by individuals as a pre-screening assessment of anxiety and depression. Further reviews are needed to statistically synthesize studies’ results related to the performance and effectiveness of wearable AI. Given its potential, tech companies should invest more in wearable AI for treatment purposes for anxiety and depression

Compliance of smokeless tobacco supply chain actors and products with tobacco control laws in Bangladesh, India and Pakistan: Protocol for a multicentre sequential mixed-methods study

Introduction: South Asia is home to more than 300 million smokeless tobacco (ST) users. Bangladesh, India and Pakistan as signatories to the Framework Convention for Tobacco Control (FCTC) have developed policies aimed at curbing the use of tobacco. The objective of this study is to assess the compliance of ST point-of-sale (POS) vendors and the supply chain with the articles of the FCTC and specifically with national tobacco control laws. We also aim to assess disparities in compliance with tobacco control laws between ST and smoked tobacco products.Methods and analysis: The study will be carried out at two sites each in Bangladesh, India and Pakistan. We will conduct a sequential mixed-methods study with five components: (1) mapping of ST POS, (2) analyses of ST samples packaging, (3) observation, (4) survey interviews of POS and (5) in-depth interviews with wholesale dealers/suppliers/manufacturers of ST. We aim to conduct at least 300 POS survey interviews and observations, and 6-10 in-depth interviews in each of the three countries. Data collection will be done by trained data collectors. The main statistical analysis will report the frequencies and proportions of shops that comply with the FCTC and local tobacco control policies, and provide a 95% CI of these estimates. The qualitative in-depth interview data will be analysed using the framework approach. The findings will be connected, each component informing the focus and/or design of the next component.Ethics and dissemination: Ethical approvals for the study have been received from the Health Sciences Research Governance Committee at the University of York, UK. In-country approvals were taken from the National Bioethics Committee in Pakistan, the Bangladesh Medical Research Council and the Indian Medical Research Council. Our results will be disseminated via scientific conferences, peer-reviewed research publications and press releases

Knowledge and Perceptions about Zika Virus in a Middle East Country

BACKGROUND: Zika virus, an emerging serious infectious disease, is a threat to persons living or travelling to regions where it is currently endemic, and also to contacts of infected individuals. The aim of this study was to assess knowledge about this new public health threat to persons residing in a Middle Eastern country. METHODS: We conducted a survey at several international universities in Qatar to assess knowledge and awareness about this disease. An adapted version of the survey was also conducted using online channels from Qatar. RESULTS: The median age of the 446 participants, was 25 years, 280 (63%) were females, and 32% were from Gulf Cooperation Council (GCC) or other Middle East countries. Based upon their knowledge about availability of a vaccine, role of mosquitoes and other modes of transmission, and disease complications, we classified respondent\u27s knowledge as poor (66%), basic (27%) or broad (7%). Forty-five (16%) persons with poor knowledge considered themselves to be well-informed. CONCLUSIONS: This report from a sample of persons associated with Middle East educational complex, reveals inadequate knowledge about Zika virus, a serious emerging infectious disease. Although few cases have been reported from the region, future cases are possible, since this area is a transit hub connecting currently infected regions to North America, Europe and Asia. As a preventive measure, an educational program about Zika virus would be valuable, especially for individuals or family members travelling to afflicted regions

Cognitive status and behavioral problems in older hospitalized patients

OBJECTIVES: (a) To determine the quantity and quality of behavioral problems in older hospitalized patients on acute care units; (b) to determine the burden of these behaviors on staff; and (c) to identify predictors of behavioral problems. METHODS: Upon admission, patients performed the Mini-Mental State Exam (MMSE), the Geriatric Depression Scale (GDS), and information was obtained on age, ethnicity, level of education, living arrangement, and psychiatric history. Two days post-admission, a clinical staff member caring for each patient, performed the Neuropsychiatric Inventory-Questionnaire (NPI-Q) to assess patients' behavioral problems and staff distress. PARTICIPANTS AND SETTING: Forty-two patients, over 60 years of age, admitted to medical and surgical units of the Veterans Affairs Hospitals in Palo Alto and San Francisco, participated. RESULTS: Twenty-three of 42 (55%) patients exhibited behavioral problems. Anxiety, depression, irritability, and agitation/aggression were the most frequently observed behaviors. The severity of the behavioral problems was significantly correlated with staff distress. Lower performance on the MMSE at admission was significantly associated with higher NPI-Q ratings. Specifically, of those cases with scores less than or equal to 27 on the MMSE, 66% had behavioral problems during hospitalization, compared to only 31% of those with scores greater than 27. CONCLUSION: Behavioral problems in older hospitalized patients appear to occur frequently, are a significant source of distress to staff, and can result in the need for psychiatric consultation. Assessment of the mental status of older adults at admission to hospital may be valuable in identifying individuals at increased risk for behavioral problems during hospitalization