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AI-Powered Robotics: Opportunities, Challenges, and Future Directions
(SFE-International Conference, Puri, India, 2025) Intezar Mahdi, Nazish Siddiqui
Artificial Intelligence (AI)-powered robotics is rising as one of the most transformative technologies of the twenty-first century, reshaping industries and redefining human–gadget collaboration, by integrating superior AI strategies with device mastering, deep learning, natural language processing, and pc imaginative. Present-day AI-driven robots show adaptability, self- reliant decision-making, situational consciousness, and interactive intelligence, enabling them to characteristic in complex and dynamic environments. Those advancements have created incredible opportunities in various domains, inclusive of healthcare, where surgical robots and assistive devices improve precision and patient care; production and logistics, where collaborative robots (cobots) and independent structures decorate productivity; agriculture, where AI-powered drones and robots optimize crop monitoring and yield prediction; and transportation, in which self-riding motors promise more secure and more green mobility. Despite those possibilities, tremendous challenges continue to be those that avert large-scale adoption. Ethical and societal issues, which include privacy violations, job displacement, and accountability in case of disasters, pose principal hurdles. Furthermore, the absence of frequent regulatory and criminal frameworks complicates the deployment of clever robotics on an international scale. Addressing those demanding situations requires multidisciplinary collaboration across pc technology, engineering, regulation, ethics, and social sciences. This paper presents a complete evaluation of the opportunities, demanding situations, and destiny guidelines of AI-powered robotics, emphasizing the need for responsible innovation and sustainable integration into everyday life.
Handicrafts and GST: The Economic Shift in Uttar Pradesh
(Sandpiper Publisher, 2025) Moiz Akhtar, Farhina Sardar Khan, Rishika Awasthi
Taxation is a crucial tool for government revenue collection and financing development activities. In India, there are two types of taxes: direct taxes and indirect taxes. The structure of indirect taxes in India was based on three lists in the seventh schedule of the Constitution, which were based on the Government of India Act of 1935. These lists were complex and inefficient due to changes in technology and situations. The introduction of GST, a comprehensive value-added tax on goods and services, was a result of these changes. The world has given acceptance to GST long ago, with France being the first country to implement it in 1954. India also showed an inclination for GST in its 101st amendment to the Constitution of India on 1-7-2017. GST is a comprehensive value-added tax on goods and services.
The handicraft sector in India is extensively scattered across the country, which is majorly affected by GST. This sector generates employment, foreign revenue from exports, and investments. The dominant states for handicraft export in India are Tamil Nadu, Rajasthan, Uttar Pradesh, Karnataka, Jammu, and Kashmir. India is one of the major exporters and producers of handicraft products in the world, and Indian handicraft products are exported to more than 100 international markets. This study focuses on exports of handicrafts, as exports are an essential engine of India's economic growth. The research covers the major components of GST and their impact on the handicraft industry from the Select district of Uttar Pradesh. A comprehensive literature survey was conducted to obtain information about indirect taxation, tax reforms, GST, and Indian handicrafts. The analysis of data shows a positive and significant impact of GST on the handicraft industry in Uttar Pradesh. The findings show significant changes in profitability, sales Revenue, and ITC access to GST on the handicraft industry. Based on the outcome of the analysis, the research concludes that GST has a positive impact on the handicraft industry in Uttar Pradesh.
Recent progress in CAR-T cell therapy for B-cell cancers with resistant tissues
(Academic Press, 2026) Rajesh Kumar , Seetha Harilal , Mohd Aftab Siddiqui , Mohhammad Ramzan , Sumel Ashique
The therapy of B-cell cancers, particularly lymphomas, has undergone a tremendous change with the approval of chimeric antigen receptor (CAR)-T cell therapy, and is currently widely available, which can be considered as a standard therapeutic option, in the case of patients having aggressive lymphomas, even though being utilized after multiple lines of treatment. The current CAR-T cell therapies, which are approved by the FDA works by targeting the antigens such as CD19 or BCMA present in the B cells. The CAR-T cell therapies are rapidly advancing with new findings to address the current limitations, including toxicities, and resistance; such as targeting multiple antigens, the source and the delivery of genetic material into the T cells, utilization of nanotechnology, as well as mRNA-based strategies, utilization of another type of immune cells such as the natural killer cells, as well as incorporating gene editing strategies. A large number of studies, including preclinical and clinical trials, are conducted to translate the findings from the bench to the bedside. The chapter discusses the CAR-T cell therapy, the mechanism, approved therapies, limitations, including toxicities, and resistance, and recent advancements in research, particularly in the therapy of B-cell cancers.
Efficient Removal of Methylene Blue Dye from Textile Industry Effluent Using Rice Husk Peanut Shell Biochar: Adsorption Studies, Isotherm Profiling, and Kinetics Analysis
(Springer, Singapore, 2026) Neha Mumtaz, Tabish Izhar, Syed Aqeel Ahmad, Md. Jamshaid
Agricultural byproducts like rice husks and peanut shells are widely accessible. Rice Husk Peanut Shell Biochar (RHPSB), a new bio-adsorbent, is used in this study to remove methylene blue dye from the textile industry effluent. This minimizes the environmental impact of waste disposal. The biochar was synthesized through pyrolysis, a relatively low-cost and energy-efficient process in a muffle furnace at 500 °C. A reactor containing an aqueous solution of MB dye (50 ml) was loaded with the desired concentration (0.25, 0.50, 0.75, 1.5, 3.0 gm/50 ml) of RHPSB powder, and adsorption was facilitated. The mixture was incubated at room temperature in an incubator shaker at 120 rpm until equilibrium was reached. The pH level was kept constant at 8.3. The removal efficiencies of MB by RHPSB in a batch experiment were 73.0–98.9% at conditions, pH (6.0–11.0); Biochar dosage (0.5–6.0 g/100 mL) for 5 days. Thus, RHPSB is a more effective adsorbent for dye removal. Isotherm profiling, Adsorption kinetics, and Morphological Analysis by Scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) were also done to ensure the efficiency of the biochar. The PHz value was 7.8 for the RHPSB. The best adsorption isotherm and kinetics data best matched for Langmuir (R2 0.9981) and pseudo-second-order equation (R2 0.9986). The results of this study demonstrate that RHPSB is a highly effective adsorbent for the removal of methylene blue dye from textile industry effluent, opening up intriguing possibilities for long-term and sustainable wastewater treatment solutions.
Empowering water security: the synergy of automation and IoT integration
(Elsevier, 2025) Neha Mumtaz, Tabish Izhar, Jazbi Izhar, Syed Aqeel Ahmad
The integration of automation and the Internet of Things (IoT) is revolutionizing water security by combining smart sensors, data analytics, and automated systems within water management frameworks. This integration addresses challenges such as water scarcity, quality assurance, efficient resource utilization, and infrastructure resilience. Key benefits include real-time monitoring and control, data-driven decision making, resource optimization, and enhanced safety. IoT sensors provide continuous data streams, enabling proactive interventions and minimizing risks. Automated systems adjust water usage and optimize processes, leading to cost savings and environmental benefits. However, challenges like data security, interoperability, scalability, and the role of human operators must be addressed. Future advancements in AI, machine learning, blockchain, edge computing, and collaborative platforms promise to enhance these integrated solutions further, driving innovation, resilience, and sustainability in water management.