Hybrid PUF Design using Bistable Ring PUF and Chaotic Network

Physical Unclonable Function(PUF) is lightweight hardware that provides affordable security for electronic devices and systems which can eliminate the use of the conventional cryptographic system which uses large area and storage. Among the several models, Bi-stable Ring PUF(BR-PUF) is considered as a secure and efficient PUF model since it has no mathematical model still found. In this thesis, we proposed a modified design called a hybrid model of BR-PUF and a Chaotic network to improve the BR-PUF resilience against machine learning attacks. We experimented with the current modification XOR technique to analyze the uniqueness, reliability and resource consumption. The proposed PUF was implemented on Xilinx Artix 7 FPGA and the PUF metrics were captured and compared with the results of XOR-ed based PUF integration techniques. The lightweight PUF model was achieved with 16% resource reduction when compared to XOR-ed BR PUF with no compromise in PUF quality

A comparison between Asian and Australasia backpackers using cultural consensus analysis

This study tests the differences in the shared understanding of the backpacker cultural domain between two groups: backpackers from Australasia and backpackers from Asian countries. A total of 256 backpackers responded to a questionnaire administered in Kuala Lumpur, Bangkok and Krabi Province (Thailand). Cultural consensus analysis (CCA) guided the data analysis, to identify the shared values and the differences in the backpacker culture of the two groups. The findings revealed that while the two groups share some of the backpacker cultural values, some other values are distinctively different from one another. The study provides the first empirical evidence of the differences in backpacking culture between the two groups using CCA. Based on the study findings, we propose some marketing and managerial implications

Respiratory Management of the Newborn with an Omphalocele

Despite advances in neonatal care, infants with omphalocele have a mortality rate ranging between 5% and 25%. Respiratory insufficiency is a common clinical challenge and an independent predictor of mortality in these infants. The causes of respiratory failure are diverse and are not well understood. This chapter discusses the unique aspects of respiratory management in omphalocele infants. The authors have chosen references in this chapter with appropriate sample size, variable comparisons, regression analyses, and documented median follow-up times. Omphalocele is rare; therefore, the case reports of chapter references have important information

Congenital Diaphragmatic Hernia

Despite advances in neonatal and surgical care, the management of congenital diaphragmatic hernia (CDH) remains challenging with no definitive standard treatment guidelines. Several centers report mortality rates as low as 20%, but if extracorporeal membrane oxygenation (ECMO) support is required, the mortality rate rises to 50%. The disease severity is related to the degree of pulmonary hypoplasia and pulmonary hypertension that occurs with CDH. Both conditions decrease the infant’s ability to ventilate and oxygenate adequately at delivery. These physiologic conditions that impair gas exchange are the important determinants of morbidity and mortality in CDH infants. Presently, delivery of infants with CDH is recommended close to term gestation. The focus of care includes gentle ventilation, hemodynamic monitoring, and treatment of pulmonary hypertension followed by surgery for the defect. Extracorporeal membrane oxygenation (ECMO) is considered after failure of conventional medical management for infants ≥  34 weeks’ gestation or with weight >2 kg and no associated major lethal anomalies. This chapter discusses long‐term follow‐up recommendations for survivors, which should involve a multidisciplinary approach, as there are many surgical and nonsurgical consequences to the disease process. Clinical strategies that address these multifaceted aspects of care, from prenatal to long‐term follow‐up, may further reduce the high mortality rate for these infants

A Study on the effectiveness of aerobic dance in reducing body fat mass and increasing cardio vascular endurance.

INTRODUCTION: Aerobic exercise is a physical exercise that is closely associated with anaerobic exercises and, because they use oxygen to let the muscle generate energy, aerobic exercises include all types of exercising but are concentrated mainly on those that are performed at levels of intensity that may be described as being moderate and for extended lengths of time. Aerobic exercise will help to maintain a higher heart rate and the oxygen is used to burn the fats and glucose to produce adenosine triphosphate, which is the carrier of basic energy for each and every cell. At the beginning of aerobic exercises, glycogen gets broken down in order to produce glucose but if there is no glucose present, it would result in fat beginning to decompose. The decomposition of fat is a process that takes its time and also result in performance levels going down. When the body starts to use fat as a fuel, it causes what marathon runners call hitting the wall. OBJECTIVES: 1. To create awareness among the public about the physical fitness. 2. To create awareness about the ill effects of excess body fat mass. 3. To inform the public, dance as the best form of cardiac exercise. 4. To give an idea about the impact of aerobic dance in reducing body fat mass and improving cardiac endurance. 5. To give proper knowledge to the gym instructors and aerobic trainers about the effect of aerobic dance. METHOD: Sample Population - 30 members. Research Design - Descriptive Study. Research Setting - Figure in Fitness gym, Tirupur. Inclusion criteria : Females of Age group 19 to 25 years, Body fat mass above 15 Kg. Exclusion criteria ; Extremely obese females, Females with cardio pulmonary complications, Lower limb pathology, Disc problems. RESULTS: The study is done with 30 subjects testing their body Fat Mass and cardiac endurance, they are given aerobic classes for 3 weeks with 4 days / week, they all have developed cardiac endurance and decreased in body Fat Mass. The calculated paired 't' values are 5.75 for Body Fat Mass and 14.61 for total body vo2 and the 't' table value is 3.66 values at 0.001 levels. Since the calculated 't' value is more than the 't' table value, there is significant change in body fat mass and cardiac endurance following aerobic dance thereby we are going to accept alternate hypothesis and reject null hypothesis. CONCLUSION: The study was carried out in 30 subjects. They were given aerobic dance for 3 weeks. They were pre and post tested for body fat mass and vo2 max. The results were calculated using paired t test. The resulting t values show that there is significant increase in cardiac endurance and reduction in body fat mass following aerobic dance. And I conclude the study as aerobic dance has significant effect in the reduction of body fat mass and increasing cardiac endurance

EXPLORING TOURISM IN THE CITY OF KUALA LUMPUR

Kuala Lumpur, the capital city and the heartbeat of Malaysia, certainly has enough tourism products to keep tourists occupied while visiting the city. This study explores the hotel managers’ perception and opinion on tourism potentials of Kuala Lumpur as a tourism destination and looks at ways to develop the tourism products that are available there. Sixty hotel managers of hotels in the city area were interviewed. The results show that Kuala Lumpur lacks a number of important elements of a successful destination, and faces serious challenges such as lack of security, bad traffic, high cost and lack of cleanliness

Analyzing CT Scan Images towards the Early Detection of Lung Cancer using Medical Images based Edge Feature Preserving CT Scan Medical Image Coder (EZWT - EFPIC)

With the current improvements in virtual image processing techniques have received several benefits. Today, all of the scientific techniques produce virtual scientific pictures, through healthcare specialists analyze and diagnose the abnormality. The frequent view of scientific picture processing might also additionally appear simpler; however, it entails many challenges. As the scientific pics are interconnected with human lives, the laptop-aided scientific image processing structures have to be overcautious, if we want to eliminate inaccuracy rates. The utility of medical image processing techniques for the analysis of CT scan images similar to lung cancer cells has been gaining momentum in recent years. This paper discusses the use of a Transform Edge Feature preserving CT scan Medical Image Coder (EZWT - EFPIC) using Computed Tomography (CT) images to help in the early diagnosis of lung cancer. We discuss and explore the design and significance of an EZWT-EFPIC-CT image-processed model in cancer diagnosis

Multi-functional architectures supported on organostannoxane scaffolds

Organostannoxane cages and aggregates of well-defined composition and structure can be prepared by the reactions of organotin oxides or organotin oxide-hydroxides with protic acids. The utility of this strategy for the preparation of dendrimer-like molecules containing a stannoxane core and a functional periphery is described

Stochastic Artificial Intelligence: Review Article

Artificial intelligence (AI) is a region of computer techniques that deals with the design of intelligent machines that respond like humans. It has the skill to operate as a machine and simulate various human intelligent algorithms according to the user’s choice. It has the ability to solve problems, act like humans, and perceive information. In the current scenario, intelligent techniques minimize human effort especially in industrial fields. Human beings create machines through these intelligent techniques and perform various processes in different fields. Artificial intelligence deals with real-time insights where decisions are made by connecting the data to various resources. To solve real-time problems, powerful machine learning-based techniques such as artificial intelligence, neural networks, fuzzy logic, genetic algorithms, and particle swarm optimization have been used in recent years. This chapter explains artificial neural network-based adaptive linear neuron networks, back-propagation networks, and radial basis networks

MULTIDRUG-RESISTANT POLYMICROBIAL BACTEREMIA AND SEPSIS: A RARE CASE REPORT

Antibiotic-resistance is currently a serious threatening factor to global public health that needs a universal action by all government sectors and societies. Here, we report an aggressive case of multidrug-resistant (MDR) polymicrobial bacteremia and sepsis. A 73-year-old male patient was admitted to a tertiary hospital with the complaints of breathlessness, cough with expectorations, vomiting, loose stools, and altered sensorium due to polymicrobial bacteremia and sepsis, which was found to be antibiotic resistant. Blood culture reports showed Pseudomonas aeruginosa and Pseudomonas putida, and sputum culture showed Acinetobacter baumannii and Klebsiella pneumonia. However, according to the culture sensitivity test reports, the organisms were resistant to almost all antibiotics and different antibiotics were tried. On the last day of hospitalization, the patient started desaturation and developed bradycardia and after sometimes cardiac arrest. In spite of continuous cardiopulmonary resuscitation, the patient could not be resuscitated and declared to be dead. The patient was finally diagnosed with MDR polymicrobial bacteremia and sepsis, chronic obstructive pulmonary disease with cor pulmonale, colitis, diabetes mellitus, hypertension, and respiratory acidosis. Although polymicrobial bacteremia and sepsis are rare, awareness of such conditions and of the rare causative pathogens, such as A. baumannii, especially in patients with comorbidities, will help treat the patients with bacteremia and sepsis