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Internet of Medical Things-Based Smart System for the Mental Health Care Challenges in 21st Century: Trends and Progress
Depression is a major mental health challenge in the 21st century and the factors that contribute to depression are rising on a day-to-day basis. Rapid urbanization and modernization brought in drastic changes in the way of life, including family type, nature of relationships, eating habits, pattern of socialization, entertainment, and various other aspects. Sometimes, this often leads to isolation and alienation in a well-connected world. In addition to the above challenges, war and climate change also pose major threats to mental health and well-being of the world population. According to the WHO, around 3.8% of the world population experienced depression in 2023 and this includes 5% of the adult population globally. Depression is considered as a leading cause of suicide and a major mental health issue among individuals in the age range of 15-29 years. This chapter reviews the applications of Internet of Medical Things (IoMT)-based systems to effectively manage depression and the related mental health care challenges in the present world. The study gives an overview of the existing trends by exploring working systems and prototypes for their service features, ethical aspects, privacy, and confidentiality. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors. -
Implementing Innovative Weed Detection Techniques for Environmental Sustainability
Agriculture, supporting over half of India's population, grapples with the challenge of weed control. Current methods applied in plantation crops lack efficiency and pose environmental and health risks. This paper advocates a paradigm shift, emphasizing the critical need for effective weed detection using cluttered unmanned aerial vehicle (UAV) images. The research methodology integrates image processing, Mask R-Convolutional Neural Networks (R-CNN), and Internet of Things (IoT). A dataset of 200 UAV images was subjected to a thorough preprocessing. In the initial phase, weeds and crops were identified with precision employing an UAV-tailored Mask R-CNN with instance segmentation. This was found to surpass traditional methods in terms of communication between the model and the agricultural environment. For timely decision-making, real-time data were collected using IoT. Average Precision (AP) values reveal high accuracy, notably 89.1% for weeds, 88.9% for crops, and an overall precision of 89.4%. The Mask R-CNN network segments and classifies images, marking weed zones communicated to farmers via Raspberry Pi with a GSM module, enabling real-time alerts and informed decision-making for efficient weed control. This holistic approach, providing object classifications, detailed bounding boxes, and masks, addresses weed control challenges, highlighting the transformative potential of advanced technologies in agriculture. 2024, Institute for Environmental Nanotechnology. All rights reserved. -
N'-[(E)-1-(2-Fluorophenyl)ethylidene]pyridine-4-carbohydrazide
Acta Crystallographica Section E, Vol-E70, ISSN-1600-5368 -
N?-[(1E)-1-(2-Fluorophenyl)ethylidene]pyridine-3-carbohydrazide
The title compound, C14H12FN3O, adopts an E conformation with respect to the azomethine double bond whereas the N and methyl C atoms are in a Z conformation with respect to the same bond. The ketonic O and azomethine N atoms are cis to each other. The non-planar molecule [the dihedral angle between the benzene rings is 7.44(11)] exists in an amido form with a C=O bond length of 1.221(2) In the crystal, a bifurcated N - H(O,N) hydrogen bond is formed between the amide H atom and the keto O and imine N atoms of an adjacent molecule, leading to the formation of chains propagating along the b-axis direction. Through a 180 rotation of the fluorophenyl ring, the F atom is disordered over two sites with an occupancy ratio of 0.632(4):0.368(4). Sreeja et al. 2014. -
N?-[(E)-2-Fluorobenzylidene]benzohydrazide
The asymmetric unit of the title compound, C14H 11FN2O, contains two independent molecules, both of which adopt the E conformation with respect to the azomethine C=N bond. The molecules are non-planar, with dihedral angles of 26.92 (12) and 11.36 (11) between the benzene and phenyl rings. In the crystal, molecules are linked through N-H?O=C and N-H?N hydrogen bonds into chains along [101]. C-H?O contacts link these chains into layers parallel to (001). The three-dimensional crystal packing is stabilized by ?-? interactions, the shortest separation between the centroids of benzene rings being 3.884 (1) -
N?-[(E)-1-(2-fluorophenyl)ethylidene]pyridine-4-carbohydrazide
The title compound, C14H12FN3O, adopts an E conformation with respect to the azomethine bond. The pyridyl and fluorobenzene rings make dihedral angles of 38.58(6) and 41.61(5) respectively with the central C(=O)N2CC unit, resulting in a non-planar molecule. The intermolecular interactions comprise two classical N - H?O and N - H?N hydrogen bonds and four non-classical C - H?O and C - H?F hydrogen bonds. These interactions are augmented by a weak ?-? interaction between the benzene and pyridyl rings of neighbouring molecules, with a centroid-centroid distance of 3.9226(10) This leads to a three-dimensional supramolecular assembly in the crystal system. The F atom is disordered over two sites in a 0.559(3): 0.441(3) ratio, through a 180 rotation of the fluorobenzene ring. 2014 CrossMark. -
Effects of reduced graphene oxide on nonlinear absorption and optical limiting properties of spin coated aluminium doped zinc oxide thin films
In this work, we investigate the nonlinear absorption and optical limiting properties of reduced graphene oxide (rGO) incorporated aluminum doped zinc oxide (AZO) composite thin films by open aperture z-scan technique using Q-switched Nd:YAG laser at 532 nm. The structural and spectral properties were also systemically analyzed. The composite thin films were synthesized by spin coating technique with online infrared curing facility. Studies on nonlinear optical responses of the investigated samples proved a substantial enhancement in the nonlinear absorption coefficient of AZO:rGO composites compared to AZO thin film. The nonlinear absorption is attributed to the two photon absorption with reverse saturable absorption. The strong nonlinear absorption and nonlinear scattering effects result in the optical limiting property of the composite material. The AZO:rGO thin film exhibits lower optical limiting threshold value (32 MW/cm2) as compared to AZO (59 MW/cm2). Hence it is an excellent optical limiter which explores applications in the field of optoelectronics as protecting material for sensitive photonic devices. 2021 -
A framework for information security assurance using DNA cryptography
Molecular biology is a branch of life science which plays a pivot role in improving the quality of life whereas Information security is another aspect for social edification, which human beings will never compromise. Both are subjects of high relevance and inevitable for humanity. Thus, an amalgamation of these subjects turns up as an innovation which is beneficial for Information security and storage. The secure transfer of information was of significant concern from ancient civilizations. Various techniques have been proposed from time immemorial to maintain the security of data so that only intended recipient should be able to receive the message other than the sender. newlineThe Information security aspects became prominent with the introduction of the newlineInternet. Regardless of the type of information which varies from a single newlinecharacter to the much-discussed Big Data , it is necessary to ensure secure storage and protection which is a matter of concern.Cryptography is an art by newlineitself and the science of secrecy which protects information from unauthorized newlineaccess. Various techniques have evolved through years of information protection newlinewhich includes Ciphers, Cryptography, Steganography, Biometrics and the most newlinerecent Nano-Cryptography comprising of Quantum Cryptography and DNA Cryptography. newlineDNA cryptography is an emerging and promising field of Information security. Dr. Leonard Adleman s experiment to solve the Hamiltonian Path Problem, which is an NP-complete problem using computational properties of DNA, has newlineredefined the word computing. The emergence of DNA computing marked the beginning of DNA Cryptography.It was a leap forward in the field of security to use biomolecular concepts and the later research followed on DNA encryption gives us new hope of unbreakable algorithms. DNA based encryption schemes work on the principles of DNA computing techniques.Cryptosystems based on DNA got relevance due to bio-computational properties of DNA. -
Wavelet packet transform based fusion of misaligned images
This paper proposes an image fusion method based on wavelet packet transform (WPT) for images with misaligned region of interest, which finds wide application in target recognition and feature extraction. The region of interest of the images are first aligned and then fused in the transform domain. The various no-reference parameters such as standard deviation (SD), spatial frequency (SF) are measured for the fused image. The result obtained from this method is compared with the other methods such as image fusion using discrete wavelet transform (DWT), stationary wavelet transform and guided filtering. It is evident from the simulation results that the two parameters are high for the fused image using wavelet packet transform. 2016 IEEE. -
Smart Intravenous Infusion Monitoring and Alert System using IoT-based Force Sensitive Resistor and Whatabot API
Intravenous fluids with vitamins are given to people who are dehydrated and have an imbalance of electrolytes. When the IV bag is empty, the patient's blood flows through the IV line toward the empty bag because their blood pressure is higher than the IV bag's. This process, called diffusion can lead to pain and loss of blood. If the IV bag is empty and hooked up to the patient, air can get into the bloodstream. The air bubble enters the patient's bloodstream, causing the same catastrophic effects. This paper aims to eliminate the danger by creating Smart IV Bags in light of the rising number of risks in the medical sector brought on by the reverse flow of blood in an IV bag (intravenous bag). The Smart IV bags eliminate the need for constant physical monitoring of the IV bag's state while preventing reverse blood flow. For detection of the IV fluid state, a 0.5 ' diameter force-sensitive resistor is deployed. We integrate the system with a NodeMCU module and using Wi-Fi, it establishes communication between the smart IV bag and the person in charge at the hospital, like a nurse or a caretaker. In this study, the IV Bag is the 'thing' connected to the internet where the FSR readings are analyzed using NodeMCU script to determine if it needs to be emptied and send a WhatsApp message to the caretaker. This design establishes an IoT environment where the IV Bag automatically alerts the caretaker and eliminates the need for constant human intervention. 2023 IEEE. -
Enhancing Patient Safety and Efficiency in Intravenous Therapy: A Comprehensive Analysis of Smart Infusion Monitoring Systems
Intravenous (IV) fluids, comprising vitamin-rich solutions, are administered to address patient electrolyte imbalances and dehydration through IV infusion therapy. Infusion pumps are integral for precise medication dosage delivery in this common medical procedure, generally posing low risks. These fluids are stored in polypropylene bags connected to patients through tubes. However, when the IV bag empties, the patients blood may flow backward into the IV tube due to higher blood pressure, known as diffusion, potentially leading to complications like air embolism-life-threatening if air enters the bloodstream through the IV line, obstructing blood flow to vital organs. Smart IV Bags emerged as a solution to mitigate such risks, eliminating the need for manual IV bag monitoring while preventing reverse blood flow. This research comprehensively assesses various IoT-enabled IV Bag monitoring systems, comparing their strengths, weaknesses, and unique features. Key evaluation criteria include component efficiency, real-world applicability, accuracy, latency, and technical specifications. The aim is to provide an objective evaluation of each Smart Intravenous Liquid Monitoring System to inform future developments in this field. A systematic approach ensures the selection of systems that best meet specific requirements in diverse healthcare environments. 2024 Scrivener Publishing LLC. -
Indoor location tracking using time of arrival estimation method
Background & Objective: Location-based services enable collection of location-oriented information which finds use in various fields. Methods: With its utility found in so many applications, various localization techniques are adopted to improve these services. One such property of a signal which is used for these estimations is known as Time of Arrival property. The Time of Arrival property of a signal is the time difference for a signal to go from the transmitter to the receiver. The most common application is to navigate through places, finding or tracking your personal belongings, targeted advertisements by knowing the nearby popular places and various other services like augmented reality gaming among others. Results & Conclusion: Through this paper, we demonstrate a method to track the location of a mobile sensor node using Trilateration algorithm with the help of Time of Arrival (ToA) property of signals. The time of arrival of packets at each node is recorded and data collected from the simulation of a wireless sensor network for this experiment is spread across various distributions to find the op-timum statistical inference. 2020 BenthamScience Publishers. -
Clinical Text Classification of Medical Transcriptions Based on Different Diseases
Clinical text classification is the process of extracting the information from clinical narratives. Clinical narratives are the voice files, notes taken during a lecture, or other spoken material given by physicians. Because of the rapid rise in data in the healthcare sector, text mining and information extraction (IE) have acquired a few applications in the previous few years. This research attempts to use machine learning algorithms to diagnose diseases from the given medical transcriptions. Proposed clinical text classification models could decrease human efforts of labeled training data creation and feature engineering and for designing for applying machine learning models to clinical text classification by leveraging weak supervision. The main aim of this paper is to compare the multiclass logistic regression model and support vector classifier model which is implemented for performing clinical text classification on medical transcriptions. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
COMMENSALITY AND CULTURE: A SEMIOTIC READING OF IGBO TRIBAL LIFE IN CHINUA ACHEBES THINGS FALL APART
Foodin literary production signifies the culturalandcross-culturalrelations from which it is produced. The emergence of Literary Food Studies engages food as a signifier to magnify human relations and emotions. Food is a mosaic system of signs symbolising diasporic, class, caste, racial, and gender relations. The paper focuses on commensality, one of the mushrooming trends in literary food studies. Commensality is the act of eating together that helps to build relationships and create conviviality, the social pleasure among people. It helps to reinforce the identity and sense of belongingness among the community members. Drawing on the theoretical readings from Mary Douglas and Arjun Appadurais semiotics of food, the paper explores the possibilities of commensality in Chinua Achebes Things Fall Apart. The paper tries to argue that, commensality and its food practices along with representing togetherness could also symbolise the complex cultural functioning of the Igbo tribal community. The ingredients of the commensality, the culinary tools, and the order of eating convey cultural meanings. It throws light into the hierarchy and various power relations existing in the community. Copyright 2023 Sreelakshmi K P. -
Impact of Livelihood Strategies on the Dependence on Agriculture in Arid Regions of Andhra Pradesh, India
The livelihood risks tend to change households capital, assets, or resources by impacting the value of their asset portfolio. This study attempts to understand various risks and how these risks affect the farming communitys livelihoods in the designated areas. Also, this research attempts to understand the relationships between risks and livelihood capital to develop effective measures to improve their well-being and suggest various policies to help farmers cope with these risks in the most effective ways. The study used a sample of 827 farmers from Andhra Pradesh, India. The ordinal logistic regression findings revealed that knowledge capital (knowledge on nutrient deficiency, disease and pests and access to information), social capital (community membership and access to natural resources and services) and financial capitals have a significant impact on the selection of livelihood strategies. 2022 Management Development Institute. -
Green Bonds: A Propitious Financial Instrument of Climate Finance
Green bonds are a comparatively recent investment mechanism for green initiatives and are perceived as the first line of climate change protection. The aim of the article is to decide if the issuing of a green bond is perceived to be good news for market players, and also to ascertain whether developing markets, relative to established markets, are more inclined towards green bonds to tackle climate change. The study used an international sample of recent green bond issues and illustrated the possible effects of the issuing of a green bond for the issuer. A sample of 392 green bonds released from 2017 to 2020 is included. Event study methodology is used to analyse investor response to green bond issuance. Over the years, emerging markets have been found to be keen on greening projects by green bonds, much in line with established markets. The findings suggest that on the day of issuance of the green bonds the stock market responds adversely and reacts positively after the day. Hence statistical technique is applied on different event windows to obtain the cumulative abnormal returns (CAR). Statistical analysis concludes that the market responds adversely to the issuing of a green bond. This influence is particularly evident in the first issuing of green bonds and in developing markets. This research shows that proposals of green debt transmit unfavourable knowledge about the issuing companies. These results are relevant only in the case of green bonds issued by listed firms. 2023 MDI. -
Enhancing the Operational Efficiency of FPOs by Using Predictive Model Building in Machine Learning Through Feature Selection Method
This study employs a machine learningbased feature selection approach to identify key factors that significantly enhance the predictive accuracy of models assessing farmer producer organization (FPO) performance. It focused on an FPO in the Anantapur and Kadapa districts of Andhra Pradesh, India; the research investigated the operational effectiveness of small and marginal farmers who are members by the end of 2022. The study reviewed existing shortcomings and proposed necessary policy amendments to ensure the sustainability of FPOs. The study utilized a survey design method, with the exploratory questionnaire through the field study. A sample of 73 small-scale producer farmers from the region was selected for the analysis. The result indicated that a) the reason for the operational efficiency of FPOs, b) the gradient boosting regressor achieved the highest testing accuracy of 0.78 to predict the best feature for FPO performance, and c) FPO insights for policy guidelines. 2025 Scrivener Publishing LLC. -
The Integration of HMS using IOMT and CE Through ANFIS
Advances in the IoMT-enabled cloud computing and interactive applications provide a basis for reconsidering the landscape for delivery of healthcare services. Even though the IoMT-cloud-based systems monitor patients remotely, it fails to take into account the sustainability of the healthcare systems. The paper presents the integrated framework of green healthcare under the umbrella of unique technology to enhance user interactivity. Our system is user-friendly, considering scalability and performance for both patients and doctors. Patients can send their health data to the doctor in real time with the help of the wearable sensor. We propose that in the presence of Hierarchical Clustering Algorithms and adaptive neuo-fuzzy inference system (ANFIS) for identification and analysis of the data, the applied solutions could enhance the healthcare experience interaction among all the stakeholders. 2024 IEEE. -
A Novel Decision Tree and LSTM Powered Intelligent Agent System for Early Detection of Vegetable Plant Diseases
The early and precise diagnosis of vegetable plant diseases is crucial for sustainable agriculture since these diseases have a major impact on crop output and quality. Disease identification performance is examined in this work through a robust detection pipeline that examines the effects of several preprocessing techniques, class imbalance handling strategies, and deep learning classifiers. To better represent data and increase model knowledge of illness characteristics, the GLCM was used to extract texture information. By combining XGBoost with LSTM networks, a new hybrid model was created. While XGBoost is great at classifying structured data, the LSTM component is great at evaluating sequential data, which allows it to capture patterns and trends in the evolution of plant diseases over time. Better and more meaningful forecasts are made possible by this supplementary integration. By surpassing more conventional methods of illness classification, the suggested LSTM-XG model attained a remarkable prediction accuracy of 99.34%. An important factor in achieving this outcome was the use of hybrid modeling in conjunction with thorough preprocessing and correction of class imbalance. Finally, the LSTM-XG model shows great promise for practical use in precision farming. Its precision and efficiency in identifying illnesses in vegetable plants might facilitate prompt action, lessen crop loss, and encourage better farming methods. 2025 IEEE. -
IMPACT OF DIGITALIZATION AND CHANGING CONSUMER PREFERENCES AND CHOICES ON VIRTUAL SHOPPING OF RETAIL SECTOR IN BANGALORE
Purpose: This investigation covers the impact of digitalization on consumer behavior and their choices of virtual shopping in the retail sector of Bangalore. Design/ Methodology/ Approach: The introduction section covers the research background and its aim and objectives. Apart from that, the research rationale and significance are also enabled in this section's literature review. That theory is associated with the impact of digitalization, which changes consumer preferences and choices in virtual shopping. This focuses on changing consumer preferences and options in the retail sector, specifically in the Bangalore area. Digital marketing theory and Kotler theory are used in these chapters to understand better the reason for consumer preferences and choices in virtual shopping. It also conveys the research methods where positivism research philosophy was used, and the researcher also uses descriptive research design to reach the aims and objectives. Secondary data collection methods were used to collect reliable data per the chosen topic. In this section, inclusion and exclusion criteria are also mentioned, which are associated with the investigation Findings:Both qualitative and quantitative data are used to analyze the importance of offline shopping among the people of Bangalore. It is to explore that most consumers prefer to do online shopping by staying at home Originality/value:Offline shopping in the Bangalore area: Most people in the Bangalore area prefer to bring their Essentials through offline shopping. It is recommended that companies formulating this virtual shopping introduce their product with relevant details and descriptions. Research limitations: Limitations were found at the time of selecting relevant journals and articles. Some journals need authentic access, so data cannot be analyzed from these articles Social implications :The use of virtual platforms can effectively judge the demands and the preferences of the consumers. Moreover, various retail sectors can perform well by virtual shopping within their industry. 2022 Institute of Advanced Engineering and Science. All rights reserved.