Volume 13 | Issue 4 |

 Abstract

As we see communication systems transform at an incredible rate of change there is a great demand for smart, secure and scalable solutions. In steps Quantum Machine Learning (QML) which is that which we see as a very powerful new approach which puts together what quantum computing has to offer with traditional machine learning thus bringing in a new age of communication networks. This paper looks at how QML may put forward solutions to some of the main issues in the next generation of networks which include 6G and beyond in terms of improving channel estimation, enhancing error correction, and optimising resource management. Also included in the picture are what QML's features of quantum parallelism and entanglement bring to the table which in turn have the promise of QML out performing classical models in areas such as signal processing, predicting network traffic, and improving in the field of cybersecurity. Also we see a report on the present state of quantum hardware and algorithm development as they pertain to how this may play out in real world network settings. At the same time we look at present issues which include hardware limitations, quantum noise, and the issue of developing very efficient algorithms which we also put forward possible solutions to. As a whole the report puts forth that QML may in fact play a very transforming role in the future of communication technologies in which we see networks becoming smarter, faster and more secure.

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 Keywords

Quantum Computing, Machine Learning, Next-Generation Communication, 6G, Quantum Algorithms, Network Optimization

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 Abstract

Preterm and low birth weight (LBW) infants face a significantly higher risk for neurodevelopmental delays across cognitive, motor, and language domains. Early developmental screening is essential to identify and address these impairments during critical periods of brain plasticity. The Bayley Scales of Infant and Toddler Development, Fourth Edition (BSID-IV), is among the most widely validated tools to assess developmental status in high-risk pediatric population. This narrative review explores the importance of early developmental screening using BSID-IV in preterm and LBW children, highlighting its clinical relevance, strengths, challenges, and role in guiding early intervention strategies.

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 Keywords

Preterm, Low Birth Weight, Neurodevelopmental Delay, BSID-IV, Early Developmental Screening

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The Reach Out and Read (ROR) program is an evidence-based early literacy intervention aimed at enhancing cognitive, language, fine motor, and socioemotional development in infants, especially those at high risk due to preterm birth or neonatal complications. This narrative review explores the impact of ROR on neurodevelopmental outcomes in high-risk infants based on randomized controlled trials and cohort studies. Evidence suggests significant improvements in receptive language, cognitive abilities, fine motor coordination, and socioemotional behaviors following ROR interventions. The review highlights the therapeutic potential of integrating ROR into routine pediatric care for high-risk populations.

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 Keywords

Reach Out and Read, Early Literacy Intervention, High-Risk Infants, Neurodevelopment, Early Childhood Development

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This study aims to analyze the perception of taxpayers towards the existing taxation system in India, focusing on factors such as tax compliance, transparency, fairness, and the ease of filing taxes. The research explores the awareness levels of taxpayers regarding direct and indirect taxes, their satisfaction with government tax policies, and the challenges they face in the taxation process. Through surveys and secondary data analysis, the study highlights key determinants influencing taxpayer behavior, including trust in the system, the burden of tax rates, and perceptions of corruption and tax evasion. The findings provide valuable insights for policymakers to enhance the efficiency and effectiveness of the taxation system, ensuring higher compliance and improved public trust. This study ultimately seeks to contribute to the development of a more taxpayer-friendly tax regime in India.

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 Keywords

Tax fairness Ease of tax filing Direct and indirect taxes Tax policy satisfaction Tax awareness Tax burden Corruption in taxation

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Cerebral palsy (CP) often presents with oromotor dysfunction, significantly impacting feeding, swallowing, speech, and oral motor control. Traditional therapies have offered foundational rehabilitation strategies; however, the integration of emerging technologies is reshaping therapeutic outcomes. This narrative review explores the latest advancements in technology-assisted oromotor rehabilitation for children with CP, discusses their mechanisms, and evaluates their potential benefits and limitations based on current evidence.

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Cerebral palsy, oromotor dysfunction, technology

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This research explores the impact of wastewater from the vittalwadi STP plant on the corrosion resistance of concrete structures and investigations the role of corrosion inhibitors in mitigating these effects.

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Wastewater , Concrete Corrosion , Corrosion inhibitors , AI-Powered Water Management , Compressive strength.

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This study investigates grievance handling practices and their impact on industrial relation within the organization. It aims to evaluate the effectiveness, transparency and responsiveness of existing grievance redressal mechanisms. A structured questionnaire was administered to a randomly selected sample of 169 employees. Data was analyzed using SPSS software. The study benchmark current practices against established industrial relation frameworks. Key findings highlight strengths and area for improvement, with recommendations to enhance grievance resolution and promote workplace harmony.

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Grievance Handling, Industrial Relations, Employee Morale

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Neurodevelopmental disorder (NDDs) often manifest with challenging behaviors that impact learning and social functioning. Movement-based interventions have emerged as adjunctive strategies to improve behavior and self-regulation in this population. This narrative review examines evidence for various movement therapies, synthesizes current evidence on the therapeutic efficacy of these interventions, examining their methodologies, underlying mechanisms in children with NDDs Findings from clinical trials and case studies suggest that these movement therapies can lead to improvements in attention, reductions in hyperactivity and impulsivity, enhanced social interactions, and decreased maladaptive behaviors. However, the heterogeneity in study designs and the limited sample sizes in many trials necessitate cautious interpretation of results. The review underscores the potential of integrating structured physical and movement activities into behavioral management plans for children with NDDs and highlights the need for future research, including larger randomized controlled trials, dose-response studies, and investigations into the neurobiological mechanisms underpinning the observed therapeutic

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 Keywords

: neurodevelopmental disorder; autism; ADHD; aquatic therapy; yoga; equine therapy; sensory integration; exercise; behavior

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In this paper, We came with the Smart energy meter, With energy management taking center stage, the traditional energy meter does much less in providing instant data about power consumption. Smart Energy Meter with Real-Time Monitoring and predictive bill calculation, is designed and implemented based on the ESP32 microcontroller. The system consists of a PZEM-004T energy meter for the measurement of total power, ACS712 current sensors for the monitoring of individual loads, and a DHT11 sensor for the monitoring of environmental parameters. Remote load control is done through a 4-channel relay module, while real-time energy data is made available on a 16x2 I2C LCD display as well as uploaded to the Thingspeak platform, where it can be downloaded in .csv file format. The smart meter continuously measures voltage, current, power and energy consumption while also calculating the predictive billing on the basis of past trends. The data is locally displayed as well as the Blynk IoT platform, which gives users the ability to monitor energy usage and control loads remotely. This proposed design thus raises awareness among consumers, maximizing energy efficiency, and providing a cost-effective solution to home automation.

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 Keywords

Smart Energy Meter, ESP32, PZEM-004T, ACS712, Real-time Monitoring, Predictive Bill Analysis, IoT, Home Automation, Blynk.

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Abstract In today's rapidly changing world, mental health disorders such as anxiety have seen a significant rise, especially in the wake of the COVID-19 pandemic. Anxiety, when left unmanaged, not only affects psychological well-being but also manifests physically, resulting in psychosomatic ailments. This clinical study aimed to understand the causation, effects, and expression of anxiety specific to the Kali group of homoeopathic remedies through the study of ten clinical cases. The study was conducted at Sainath Hospital, with cases selected across different age groups and analysed using the Synthesis Repertory. Anxiety manifestations, constitutional profiles, and therapeutic outcomes were assessed. The findings suggest a distinct expression pattern of anxiety in Kali group personalities, marked by family-centric fears, financial worries, fear of being alone, and physical manifestations such as insomnia, palpitations, and digestive disturbances. This study reinforces the effectiveness of individualised homoeopathic prescriptions for anxiety disorders, with the Kali group proving especially significant in cases marked by familial and relational insecurities.

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 Keywords

Index Terms - Anxiety, Kali group, homoeopathy, rubrics, clinical study, repertory, Kent's repertory, mental symptoms.

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