Effect of Bandwidth Scalability on System Performance in the Downlink LTE Systems

Long Term Evolution (LTE) system employs Orthogonal Frequency Division Multiple Access (OFDMA) in downlink in order to support network deployment using various system bandwidth configurations i.e., 1.4MHz, 3MHZ, 5MHz, 10MHz, 15MHz and 20MHz. The bandwidth scalability enables operator to access multiple channels to achieve higher peak data rates. Also, the bandwidth scalability allows operators to deploy LTE network with the existing spectrum or newly licensed band. Therefore the study on performance of LTE system with different bandwidth configuration becomes vital. Hence in this paper, an attempt has been made to study and compare the performance of LTE system with different spectrum configuration i.e., 1.4MHz, 3MHz, 5MHz, 10MHz, 15MHz and 20MHz for Constant Bit Rate (CBR) traffic scenario in the downlink. The performance metrics considered for simulation studies are aggregate bytes received, average throughput, average delay and average jitter

Lightweight PUF-Based Gate Replacement Technique to Reduce Leakage of Information through Power Profile Analysis

The major challenge faced by electronic device designers is to defend the system from attackers and malicious modules called Hardware Trojans and to deliver a secured design. Although there are many cryptographic preventive measures in place adversaries find different ways to attack the device. Differential Power Analysis (DPA) attack is a type of Side Channel Attacks, used by an attacker to analyze the power leakage in the circuit, through which the functionality of the circuit is extracted. To overcome this, a lightweight approach is proposed in this paper using, Wave Dynamic Differential Logic (WDDL) technique, without incurring any additional resource cost and power. The primary objective of WDDL is to make the power consumption constant of an entire circuit by restricting the leakage power. The alternate strategy used by an adversary is to leak the information through reverse engineering. The proposed work avoids this by using a bit sequencer and a modified butterfly PUF based randomizing architecture. A modified version of butterfly PUF is also proposed in this paper, and from various qualitative tests performed it is evident that this PUF can prevent information leakage. This work is validated on ISCAS 85, ISCAS 89 benchmark circuits and the results obtained indicate that the difference in leakage power is found to be very marginal

Lightweight PUF-Based Gate Replacement Technique to Reduce Leakage of Information through Power Profile Analysis

The major challenge faced by electronic device designers is to defend the system from attackers and malicious modules called Hardware Trojans and to deliver a secured design. Although there are many cryptographic preventive measures in place adversaries find different ways to attack the device. Differential Power Analysis (DPA) attack is a type of Side Channel Attacks, used by an attacker to analyze the power leakage in the circuit, through which the functionality of the circuit is extracted. To overcome this, a lightweight approach is proposed in this paper using, Wave Dynamic Differential Logic (WDDL) technique, without incurring any additional resource cost and power. The primary objective of WDDL is to make the power consumption constant of an entire circuit by restricting the leakage power. The alternate strategy used by an adversary is to leak the information through reverse engineering. The proposed work avoids this by using a bit sequencer and a modified butterfly PUF based randomizing architecture. A modified version of butterfly PUF is also proposed in this paper, and from various qualitative tests performed it is evident that this PUF can prevent information leakage. This work is validated on ISCAS 85, ISCAS 89 benchmark circuits and the results obtained indicate that the difference in leakage power is found to be very marginal

Variation in the Morphological Characters of the Hill and Plain Populations of Indian Honey Bee, Apis cerana indica (Fab.) in Tamil Nadu, India

The present study investigates the morphological differences between the hill and plain populations of the Indian honey bee, Apis cerana indica Fabricius, collected from six different locations in Tamil Nadu, India: Coimbatore, Karumandhurai, Coonoor, Madurai, Dindigul, and Chidambaram during 2023-2024. Significant differences were found between the two populations based on a comprehensive morphometric analysis of 29 characters. The hill populations from TNAU Insectary (Marudhamalai hills), Karumandhurai (Kalvarayan hills), and Coonoor (Nilgiri hills), the mean altitude of the locations being 1207 m a.s.l. exhibited significantly higher values in several morphometric traits than the plain populations from Madurai, Dindigul, and Chidambaram, with a mean altitude of 124 m above MSL (P<0.05). Component loading analysis highlighted the key morphometric characters contributing to the first and second components of both ecotypes. In the plain population, breadth of the radial cell, breadth of the forewing, and length of the radial cell demonstrated strong positive correlations with the first principal component, explaining 16.4% of the variance. The second principal component, influenced by characters such as the length of the femur and breadth of the metatarsus, showed 12.2% of the variance. In the hill population, the length of the radial cell, length of vein R.L., and length of the hindwing were the most influential traits for the first principal component, explaining 28.0% of the variance. In contrast, the second component, which included the breadth of the forewing and length of vein I.L., explained 12.3% of the variance. Further, the cubital index, a critical morphometric parameter, also showed a statistically significant difference, with the hill population (3.55) showing a higher value than the plain population (3.29). The significant morphometric differences observed between the hill and plain populations of A. cerana indica may suggest that they have undergone morphological divergence, likely due to adaptations to their specific environmental conditions

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

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Chemokine CXCL13 is overexpressed in the tumour tissue and in the peripheral blood of breast cancer patients

The abilities of chemokines in orchestrating cellular migration are utilised by different (patho-)biological networks including malignancies. However, except for CXCR4/CXCL12, little is known about the relation between tumour-related chemokine expression and the development and progression of solid tumours like breast cancer. In this study, microarray analyses revealed the overexpression of chemokine CXCL13 in breast cancer specimens. This finding was confirmed by real-time polymerase chain reaction in a larger set of samples (n=34) and cell lines, and was validated on the protein level performing Western blot, ELISA, and immunohistochemistry. Levels of CXCR5, the receptor for CXCL13, were low in malignant and healthy breast tissues, and surface expression was not detected in vitro. However, we observed a strong (P=0.0004) correlation between the expressions of CXCL13 and CXCR5 in breast cancer tissues, indicating a biologically relevant role of CXCR5 in vivo. Finally, we detected significantly elevated serum concentrations of CXCL13 in patients with metastatic disease (n=54) as compared with controls (n=44) and disease-free patients (n=48). In conclusion, CXCL13 is overexpressed within breast cancer tissues, and increased serum levels of this cytokine can be found in breast cancer patients with metastatic disease pointing to a role of CXCL13 in the progression of breast cancer, suggesting that CXCL13 might serve as a useful therapeutic target and/or diagnostic marker in this malignancy

Recovery of dialysis patients with COVID-19 : health outcomes 3 months after diagnosis in ERACODA

Background. Coronavirus disease 2019 (COVID-19)-related short-term mortality is high in dialysis patients, but longer-term outcomes are largely unknown. We therefore assessed patient recovery in a large cohort of dialysis patients 3 months after their COVID-19 diagnosis. Methods. We analyzed data on dialysis patients diagnosed with COVID-19 from 1 February 2020 to 31 March 2021 from the European Renal Association COVID-19 Database (ERACODA). The outcomes studied were patient survival, residence and functional and mental health status (estimated by their treating physician) 3 months after COVID-19 diagnosis. Complete follow-up data were available for 854 surviving patients. Patient characteristics associated with recovery were analyzed using logistic regression. Results. In 2449 hemodialysis patients (mean ± SD age 67.5 ± 14.4 years, 62% male), survival probabilities at 3 months after COVID-19 diagnosis were 90% for nonhospitalized patients (n = 1087), 73% for patients admitted to the hospital but not to an intensive care unit (ICU) (n = 1165) and 40% for those admitted to an ICU (n = 197). Patient survival hardly decreased between 28 days and 3 months after COVID-19 diagnosis. At 3 months, 87% functioned at their pre-existent functional and 94% at their pre-existent mental level. Only few of the surviving patients were still admitted to the hospital (0.8-6.3%) or a nursing home (∼5%). A higher age and frailty score at presentation and ICU admission were associated with worse functional outcome. Conclusions. Mortality between 28 days and 3 months after COVID-19 diagnosis was low and the majority of patients who survived COVID-19 recovered to their pre-existent functional and mental health level at 3 months after diagnosis