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THz antennas, which function at high speeds, frequencies, and data rates, were developed in response to the increased need for high-speed communication equipment. In this work, a MIMO antenna operating between 2.25 and 2.85 THz is built and optimised with partial ground. The designed antenna possesses H-shaped slots and circular rings over the patch to enhance the antenna performance. The proposed antenna states the isolation loss value of 50 dB across the operating frequency with a bandwidth of 0.6 THz. In the manuscript, two antennas were designed, the first one having only circular slots and the second one, in addition to the circular slots over the patch, also including H-slots. The antenna has the highest gain value of 8.9 dBi in the design. Optimising the design is performed using parametric optimisation and geometrical parameters. The suggested antenna measures 50 x 50 x 100 µm². The suggested antenna can be used for high-speed communications because of its high gain and operating frequency applicability. Antenna having a low Error Correlation Coefficient (ECC) value of 0.08, a high Diversity Gain (DG) value with minimum mutual coupling < -25dB, an optimum Total Active Reflection Coefficient (TARC) value of -55dB and a Mean Effective Gain (MEG) value of 8.5dB. These antennae also operate across biomedical imaging applications, wireless network applications, beam scanning applications, and satellite communication applications with reflection coefficient values < -25dB.This study supports UN SDG 9: Industry, Innovation and Infrastructure by advancing sustainable THz communication technologies, and contributes to SDG 3: Good Health and Well-Being through its biomedical imaging applications.

In light of the unprecedented growth in internet usage, safeguarding data from unauthorized access has emerged as a paramount concern. Cryptography and steganography stand as pivotal methods for ensuring data security during transmission. This study introduces an innovative adaptive video steganography approach featuring three tiers of security for extracting concealed information, thereby facilitating secure communication. The embedding process operates within the spatial domain of cover video frames, enabling a remarkable hiding ratio of up to 28.125% (equivalent to 2.25 bits per pixel in payload) without compromising the quality of video frames. Users are afforded the flexibility to select between partial or full embedding capacity of C VF through the proposed adaptive control block (ACB). The chaotic key generator (CKG), which combines a logistic map and sine map, is employed to generate highly sensitive initial seeds for permutation order (PO), frame selection (FS), and random position for hiding (RPH), thereby ensuring three levels of security. Prior to transmission, both C VF and hidden data (S D ) are encrypted using PO. Encrypted C VFs are then randomly selected using FS for embedding, with RPH employed during the embedding process. Subsequently, for transmitting the stego-video frame, embedded C VFs are decrypted using the same PO. Experimental results demonstrate the efficacy of the proposed approach, achieving an adaptive hiding ratio ranging from 7.1 to 28.125% (equivalent to 0.56 to 2.25 bits per pixel in payload) and maintaining a peak signal-to-noise ratio (PSNR) within the range of 50.25 to 62.05 dB.

The data transfer between devices should be prominent in the 5G and Beyond 5G communication systems. Wireless communication system needs a sophisticated communication setup with less hardware and complexity. In this paper, Space Shift Keying (SSK) modulation is considered to be a convenient scheme for multi antenna system by activating a single antenna at one time. Moreover, Cooperative communication has more reliability in point-to-point communication by the relaying system. So, inclusion of SSK in cooperative communication system will lead to best performance in terms of data transmission. Thus, end-to-end Bit Error Rate (BER) in the multi-hop multi-branch DF relaying (MMDFR) model under cooperative communication scenario using SSK modulation scheme is analyzed. The closed-form expression for BER is derived over Nakagami-m fading channels and the results are verified with Monte Carlo simulation. This proposed model can also be compared with existing models which includes SSK modulation schemes. This system may be useful in IoT applications for 5G to improve network coverage, user experience and system capacity.

Reconfigurable Intelligent Surface (RIS) can enhance the performance of wireless communication systems in scenarios where there is an obstruction in the direct Line-of-Sight between transceivers. In this paper, we propose a double RIS assisted wireless communication system with no direct link present between source and destination with first RIS (R 1 ) near to the source, second RIS (R 2 ) near to the destination, and both RIS will independently assist the communication between source and destination. The analysis includes moment generating function-based symbol error rate evaluation and the derivation of simplified closed-form expression for the outage probability (OP) in terms of the Q-function over Rician and Rayleigh fading channels. A fair comparative performance evaluation, considering an identical number of RIS elements in two systems, is conducted against a single RIS-assisted system with the RIS positioned midway between the source and destination. The analytical findings are corroborated through Monte Carlo simulations and an in-depth examination of the energy consumption gain reveals that the proposed double RIS-assisted system surpasses the single RIS-assisted system in terms of SER and OP while exhibiting lower energy requirements.

Introduction Uterine masses are commonly submitted for frozen section, to guide the surgeon, regarding the type and extent of the procedure during surgery. Despite the technical difficulties in processing, sectioning, and staining of frozen section samples, it remains a fairly reliable intraoperative tool. Aim This study aims to analyze the diverse spectrum of uterine masses sent for frozen sections for two years. In addition, it aims to analyze the histomorphology of the uterine masses sent for the frozen section and correlate it with that of the routine histopathological findings, thereby justifying the diagnostic value of the frozen section with this study. Furthermore, the study aims to classify the lesions into benign and malignant, quantify their frequency, and list the most common lesions seen in the uterine mass specimens sent for frozen section analysis. Methodology This retrospective descriptive study includes data from January 2021 to December 2022, retrieved from the archives of the Department of Pathology at Saveetha Medical College. This study includes a total of 76 cases, including all the uterine masses sent for frozen section analysis during the study period. Results Of the total of 76 cases received, 17 (22.4%) were malignant and 59 (77.6%) were benign. Of the malignant cases reported, the most common was endometrial carcinoma, and the least common entities encountered were carcinosarcoma and leiomyosarcoma. Of the benign cases, benign endometrial polyp was the most common endometrial lesion and leiomyoma with and without degeneration was the most common myometrial lesion encountered. Of the 50 cases of leiomyoma encountered, 16 had extensive degenerative changes. The most common degeneration seen in the fibroid was hyaline degeneration, and the least common was xanthogranulomatous degeneration. Conclusions The intraoperative frozen section analysis is a very important diagnostic tool, but we need to be aware of its limitations. The accuracy, sensitivity, and specificity rates were found to be high. Thus, frozen section diagnoses can be very valuable in the clinical management of uterine tumors. Careful gross examination, sampling from representative areas, and good communication between the pathologist and surgeon may help in avoiding its limitations.

Aims/hypothesis This study reports the results of the first phase of a national study to determine the prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in India. Methods A total of 363 primary sampling units (188 urban, 175 rural), in three states (Tamilnadu, Maharashtra and Jharkhand) and one union territory (Chandigarh) of India were sampled using a stratified multistage sampling design to survey individuals aged ≥20 years. The prevalence rates of diabetes and prediabetes were assessed by measurement of fasting and 2 h post glucose load capillary blood glucose. Results Of the 16,607 individuals selected for the study, 14,277 (86%) participated, of whom 13,055 gave blood samples. The weighted prevalence of diabetes (both known and newly diagnosed) was 10.4% in Tamilnadu, 8.4% in Maharashtra, 5.3% in Jharkhand, and 13.6% in Chandigarh. The prevalences of prediabetes (impaired fasting glucose and/or impaired glucose tolerance) were 8.3%, 12.8%, 8.1% and 14.6% respectively. Multiple logistic regression analysis showed that age, male sex, family history of diabetes, urban residence, abdominal obesity, generalised obesity, hypertension and income status were significantly associated with diabetes. Significant risk factors for prediabetes were age, family history of diabetes, abdominal obesity, hypertension and income status. Conclusions/interpretations We estimate that, in 2011, Maharashtra will have 6 million individuals with diabetes and 9.2 million with prediabetes, Tamilnadu will have 4.8 million with diabetes and 3.9 million with prediabetes, Jharkhand will have 0.96 million with diabetes and 1.5 million with prediabetes, and Chandigarh will have 0.12 million with diabetes and 0.13 million with prediabetes. Projections for the whole of India would be 62.4 million people with diabetes and 77.2 million people with prediabetes.

Coastal areas are one of the key systems for global sustainability. These are the transition areas between land and sea. Coastal regions gained importance because of multiple uses, like high productivity of the ecosystem, highly concentrated population, industrial friendly, waste disposal, tourism, transportation, strategic planning in military and many more. These coasts are always in a dynamic state trying to change, and nature always works for maintaining the equilibrium. India, with most diverse ecosystem, high productivity and thickly populated over coastal region, has gained its very own importance. Despite all of these, Indian coasts are under threat due to multiple stresses like global climate change and human intervention. These stresses are driving vulnerabilities like sea-level rise, coastal erosion, frequent extreme events, and saltwater encroachment. In this critical scenario, coastal management has become one of the very important issues in the last two decades. Thus, coastal vulnerability assessment methods have been developed to identify and manage the vulnerable areas over the coast. In the present review, we focussed on different vulnerabilities to coast of India and one of the assessment methods, coastal vulnerability index methodology, applied over India. Vulnerability assessment is the process where we identify the problem, quantify it, and assess the risk rate in formulating development strategies to reduce the risk and vulnerabilities. Proper planning and protection strategies for Indian coast must be taken swiftly by the coastal management and policy makers to safeguard coastal ecosystem and livelihoods. In recent years, there has been much focus on coastal vulnerability assessments using various kinds of data. Most of the reported studies over Indian coast are based on remote sensing and GIS methods.

Abstract Medical images of patients must be securely transmitted and kept private in telemedicine. To secure such medical images, this paper proposes a single round chaotic image encryption scheme based on a permutation-diffusion structure. A combined chaotic key generator (CCKG) is proposed to enhance key sensitivity and generation in order to improve the security of medical images to be encrypted. CCKG is used to produce the initial seeds for the fractional order chaotic system (FOCS) and Lorenz system (LS) for the permutation and diffusion processes, respectively. CCKG together with proposed permutation and diffusion methods enhances cipher image security in single round. Using zigzag transform (ZT) scanning, the plain image is first permuted block by block. The type of scanning used on each block is heavily influenced by the ZT selection from FOCS and LS. Following block-wise permutation, the permutation order (PO) generated from LS performs overall permutation. Based on the pixel positions, the overall permuted image is divided into odd and even parts. Then these parts of the images are diffused separately by the random pixel matrices generated by LS and FOCS. The cipher image is formed by combining the odd and even parts after diffusion. Secret key analysis, statistical analysis, differential attack analysis, and simulations confirm that with a single round of image encryption, the proposed system is competent, robust and effective.

For the first time, electrochemical methods are utilized to study the response of tubulin monomers (extracted from plant source such as Green Peas: Arachis Hypogea) towards charge perturbations in the form of conductivity, conformational changes via self-assembly and adsorption on Au surface. The obtained dimerization and surface adsorption energetics of the tubulins from Cyclic Voltammetry agree well with the literature value of 6.9 and 14.9 kCal/mol for lateral and longitudinal bond formation energy respectively. In addition to the effects of charge perturbations on change in structure, ionic and electronic conductivity of tubulin with increasing load are investigated and found to be 1.25 Sm −1 and 2.89 mSm −1 respectively. The electronic conductivity is 1.93 times higher than the literature value of 1.5 mSm −1 , demonstrating the fact that the microtubules (dimer of tubulins, MTs) from plant source can be used as a semiconductor electrode material in energy conversion and storage applications. Thus, motivated by the Monte Carlo simulation and electrochemical results the MTs extracted from plant source are used as cathode material for energy storage device such as Bio-battery and the Galvanostatic Charge/Discharge studies are carried out in coin cell configuration. The configuration of the bio-battery cell is as follows: Al/CB//PP-1M KCl//MTs/SS; where SS and Al are used as current collectors for cathode and anode respectively, Polypropylene (PP) membrane soaked in 1M KCl as electrolyte and Carbon Black (CB) is the anode material. Another configuration of the cell would be replacement of CB by biopolymer such as ethyl cellulose anode (Al/EC/PP-1M KCl/MTs/SS).

Reconfigurable Intelligent Surface (RIS) can boost wireless communication systems’ capacity when direct Line-of-Sight (LoS) is blocked between the transceivers. This paper analyses the ergodic capacity of centralized RIS and distributed RIS setups. In the centralized setup, all the reflecting elements are consolidated into a single RIS entity. In stark contrast, the distributed approach evenly distributes the total number of reflecting elements among multiple RISs. The analysis begins by establishing upper bounds for ergodic capacity using Jensen’s inequality and explores the impact of RIS placement on system performance. Subsequently, we derive the expressions for the exact number of reflecting elements required by the RIS-generated virtual LoS to outperform the capacity of direct LoS, and the simulations conform to the exactness of the derived expressions. In addition, we analyze the impact of RISs location on the performance of all the systems under consideration.