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262 articles for “expectations”
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Non-Small Cell Lung Cancer: Types, Pathogenesis, Diagnosis, and Novel Therapeutic Strategies
Abstract: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer, accounting for over 85% of all cases globally. It remains one of the primary causes of cancer-related death due to its rapid progression, few early symptoms, and late detection. The three main forms of non-small cell lung cancer (NSCLC) are adenocarcinoma, squamous cell carcinoma, and giant cell carcinoma; each has a unique histology, prognosis, and response to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Design and Development of a Smart Automated Packaging System for Poultry Drumsticks
Abstract: The present work aims to design and implement an automated packaging system for poultry drumsticks that enhances operational efficiency, product quality, and adaptability. The integrated system offers a solution that complies with industrial quality and safety standards by sorting products, getting accurate weighing, and efficiently portioning food into 1-kilogram standardized units. By effectively reducing human involvement, operational inefficiencies, workforce requirements, and contamination hazards, the automation system becomes sufficiently adaptable to …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Design and simulation of Solar Powered Automated Dual Rotor Mechanism for Sugarcane Harvesting
Abstract: Sugarcane being the vast cultivated cash crop of India’s agricultural economy has undoubtedly one of the most difficult harvesting processes. The existing mechanisms to harvest sugarcane are costly and are not affordable by rural based farmers. In this project a novel design mechanism is suggested that would serve the purpose of harvesting with least manpower, being cost effective and serving the purpose of cutting, stripping, sorting and loading of the …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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Monoclonal antibodies in targeted cancer therapy advances, resistance mechanisms, and next-gen formats (Bispesifics, ADCs)
Abstract: Breast cancer is one of the leading causes of cancer-related morbidity and death worldwide, which emphasizes the need for more effective and focused treatment strategies. antibody-mediated drug delivery techniques. Specifically, antibody–drug conjugates (ADCs) have emerged as a potential approach that combines the specificity of monoclonal antibodies with the potent cytotoxicity of anticancer drugs. By selectively targeting tumor-associated antigens, ADCs enhance drug accumulation within cancer cells while minimizing systemic toxicity associated …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
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Effectiveness of a Structured Educational Intervention on Managing Minor Disorders of Pregnancy Through Home Remedies Among Antenatal Women in Urban and Rural Kuppam
Abstract: Pregnancy is a physiological process often accompanied by minor disorders such as nausea, vomiting, backache, heartburn, and fatigue, which can affect the well-being of expectant mothers. Appropriate knowledge and timely management using simple home remedies can significantly reduce discomfort and improve maternal health. This study aimed to evaluate the effectiveness of a structured educational intervention on the management of minor disorders of pregnancy through home remedies among antenatal women in …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 7–15 Read article
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Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
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Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Attitude of Undergraduate Agriculture Students Towards Farming: Empirical Evidence From a Premier State Agricultural University in India
Abstract: Agricultural education plays a critical role in developing skilled human resources for sustaining and revitalizing the farming sector in India. Despite agriculture being the backbone of the national economy, there is increasing concern about the declining inclination of educated youth towards farming as a profession. The present study was undertaken to assess the attitude of undergraduate agriculture students towards farming and to examine selected socio-demographic, educational, economic, and psychological factors …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 41–56 Read article
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Energy-Aware Task Offloading in 6G-Enabled Mobile Edge Computing Environments
Abstract: The emergence of sixth-generation (6G) wireless communication networks is expected to revolutionize future mobile systems by enabling ultra-low latency communication, extremely high data rates, massive connectivity, and intelligent network management. In parallel, mobile edge computing (MEC) has gained significant attention as a promising paradigm that brings computational resources closer to end users, thereby alleviating network congestion and reducing end-to-end service delays. Despite these advantages, the rapid growth of computation-intensive and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Barg-e-Tulsi (Ocimum sanctum Linn.) in Unani Medicine: Bridging Classical Therapeutics with Contemporary Pharmacological Evidence
Abstract: In the Unani System of Medicine (USM), Barg-e-Tulsi (Ocimum sanctum Linn.), commonly known as Tulsi or Holy Basil, is a highly valued medicinal herb that has been extensively used for centuries in the prevention and treatment of various ailments. It occupies an important place in traditional Unani therapeutics due to its broad spectrum of medicinal properties and its effectiveness in managing respiratory, gastrointestinal, neurological, and infectious disorders. Classical Unani scholars …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 Read article
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RNA- Based Drug Delivery, Current Advances, Pharmaceutical Applications, and Future Perspectives
Abstract: RNA-based therapeutics have emerged as a transformative approach in modern medicine due to their ability to regulate gene expression with high specificity and precision. Advances in molecular biology, RNA chemistry, and nanotechnology have accelerated the development of diverse RNA modalities, including messenger RNA (mRNA), small interfering RNA (siRNA), microRNA (miRNA), antisense oligonucleotides (ASOs), and RNA aptamers. These therapeutics offer promising strategies for the treatment of cancer, genetic disorders, infectious diseases, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 Read article
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Design and Implementation of a 4-Bit Breadboard CPU Using Digital Integrated Circuits
Abstract: This paper presents the design and hardware realization of a simple 4-bit CPU built using discrete TTL integrated circuits on a breadboard. The CPU employs a 4-bit common data bus with tri-state buffers for device arbitration, three 4-bit registers (Register A, Register B, and an Output Register) implemented with 74LS175 quad D flip-flops, and a 4-bit ALU for addition/subtraction using a 74LS83 adder and XOR gates. Manual control signals (load, …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
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Holographic Beam Switching and Intelligent Routing for Terahertz Space-Air-Ground Integrated Networks
Abstract: The rapid evolution of sixth-generation (6G) and beyond communication technologies necessitates highly adaptive, ultra-high-capacity, and low-latency networking frameworks capable of supporting global connectivity across terrestrial and non-terrestrial domains. This study proposes a novel holographic beam switching and intelligent routing framework for terahertz (THz) Space-Air-Ground Integrated Networks (SAGINs). The proposed architecture leverages holographic beamforming techniques to dynamically manipulate electromagnetic wavefronts, enabling precise beam steering, reduced interference, and enhanced spectral efficiency in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Mast Cell Activation Disorders: Diagnosis & Management
Abstract: Mast Cell Activation Disorder (MCAD) is a broad umbrella term which includes a heterogenous group of disorders characterized by the inappropriate and excessive release of mediators from mast cells. Mast Cell Activation Syndrome represents a severe and well-defined form within the broader spectrum of Mast Cell Activation Disorders. These disorders are generally divided into clonal and non-clonal categories. Clonal conditions include Systemic Mastocytosis, Cutaneous Mastocytosis, and Monoclonal Mast Cell Activation …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 31–40 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Exploring the viability of DIY mobile robots, a technical and economic perspective.
Abstract: This article is intended for on ramping of novices in mobile robotics and shine a new light on feasibility of home-brew robots. Readers are expected to use this resource as a take-off point from which they will get to know where to look and to what extent, along with some of our own recommendations. The topics covered include but not limited to, hardware selection, firmware programming, feedback control, system design, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article