Collaborations

Assessing Knowledge of Health care Providers about Maternal Health Services Utilization by the pregnant women

I am currently working on a research study titled “Assessing Knowledge of Healthcare Providers about Maternal Health Services Utilization by Pregnant Women.” This study aims to explore the level of awareness, understanding, and practices of healthcare providers in promoting and facilitating the utilization of maternal health services. The research seeks to identify existing gaps in knowledge and service delivery, and to generate evidence-based recommendations that can strengthen maternal healthcare outcomes at the community level. I warmly invite researchers, public health professionals, academicians, NGOs, and field practitioners working in the domain of maternal and child health to collaborate on this study. Contributions may include: Research design and methodology support Data collection and field coordination Statistical analysis and interpretation Manuscript writing and publication This collaboration offers an opportunity to contribute to impactful research addressing maternal health challenges and improving service utilization among pregnant women. If you are interested in collaborating, please feel free to connect and discuss potential areas of contribution.

SNP Analysis and Functional Annotation in Human Genes

I am an M.Tech student in Computational Biology from Anna University seeking collaborators for a research project in bioinformatics and computational biology.The project focuses on areas such as SNP analysis, protein structure analysis, molecular dynamics simulation, and RNA-seq data interpretation. The objective is to apply computational approaches to understand biological systems and generate meaningful insights.I am looking for motivated students or researchers interested in bioinformatics, drug discovery, or structural biology. Basic knowledge of tools like Galaxy, Cytoscape, or molecular modeling software is a plus but not mandatory. This collaboration aims to enhance research skills, explore publication opportunities, and work on real-world biological datasets.

A complete solution for Researcher

Experience in in vivo , in silico, and in vitro analysis- cancer biology, water purification, material science, and biofuel, Experience in analytical instrument handling and also in calibration.Research article and research proposal prepartion.

Research Lab at Plausible Instruments Private Limited & Envision Research Lab And Medical Solutions ,New Delhi, DL, IN

Plausible Instruments Private Limited offers on-site hardness tester calibrations. PI uses Direct verification as per the applicable IS/ISO/ASTM Standards, Indirect verification as per the applicable IS/ISO & Verification of Test Cycle of all sorts of Hardness Testers. • Rockwell Hardness Testers as per IS 1586, ISO 6508, ASTM E18 • Brinell Hardness Testers as per IS 1500, ISO 6506, ASTM E10 • Vickers Hardness Testers as per IS 1501, ISO 6507, ASTM E92, ASTM E384 * Load cells (Class 0.5, AA) used to certify your machines are traceable to FRI (Fie Research Institute, Ichalkaranji) to the current revision as per above standards required. Plausible Instruments Private Limited offers on-site Uni-axial Static Hardness Testing Machines calibration. PI uses Force verification as per the applicable IS/ISO/ASTM Standards, Linear Measurement of Travel of UTM Crosshead (Encoder), Crosshead Travel of Spring Testing Machine as per the applicable ASTM, Long Travel Extensometers L.C. 0.001 mm verification as per the applicable IS/ISO & ASTM & Verification of Speed of Crosshead travel of Uniaxial Testing Machines as per the applicable ASTM standard. • Calibration facility of Uniaxial Testing Machines, 5N to 2000 kN in compression mode and 5N to 100 kN in tension mode as per Latest published IS 1828/ISO 7500/ ASTM E4 standards. • Speed and Displacement of Cross head of Uniaxial Testing Machines as per ASTM E2309, ASTM E2309M. • Extensometer Calibration Up to 25mm as per IS 12872 / ISO 9513 / ASTM E83. * Our CMC (Calibration Measurement Capability) from 5N to 100kN for tension & compression mode ±0.26% & from 100kN to 2000kN for Compression mode ± 030% accredited by NABL - INDIA (National Accreditation Board for Testing & Calibration Laboratory) as per ISO / IEC 17025: 2017 Verification of all sorts of Civil industrial templates (i.e., Test Sieves, Moulds, Slump Cone, Elongation & Flakiness Gauges, Jigs & Fixtures) up to 300mm as per IS/ISO. Envision Research Lab and Medical Solutions OPC Private Limited is your trusted partner for comprehensive services aligned with **AERB (Atomic Energy Regulatory Board)** guidelines. We specialize in the **commissioning, decommissioning**, and **licensing** of diagnostic equipment such as **CT Scanners**, **Cath Labs**, and **Mammography** units. Our services include: - **Commissioning**: Safe setup and initial operation of X-ray equipment, ensuring compliance with **AERB** standards. - **Decommissioning**: Safe disposal and decommissioning of X-ray equipment, adhering to **AERB** regulations. - **Licensing**: Assistance with securing **AERB licenses** for X-ray equipment, ensuring full regulatory compliance. In addition to these services, we specialize in the sale and service of both **refurbished** and **new** diagnostic equipment: - **Refurbished CT Scanners, Cath Labs, and C-Arms**: High-quality refurbished equipment offering cost-effective solutions without compromising on performance or compliance. - **New X-ray Machines with CR and DR Options**: We offer the latest in X-ray technology, including both **Computed Radiography (CR)** and **Digital Radiography (DR)** systems, tailored to meet your specific needs. We also provide flexible **payment options**, making it easier to acquire and maintain cutting-edge diagnostic equipment. Partner with Envision Research Lab for reliable, compliant, and cost-effective solutions in diagnostic radiology.

Research Lab at Envision Research Lab and Medical Solutions OPC Private Limited, New Delhi , DL, India

Envision Research Lab Envision Research Lab and Medical Solutions OPC Private Limited is your trusted partner for comprehensive services aligned with **AERB (Atomic Energy Regulatory Board)** guidelines. We specialize in the **commissioning, decommissioning**, and **licensing** of diagnostic equipment such as **CT Scanners**, **Cath Labs**, and **Mammography** units. Our services include: - **Commissioning**: Safe setup and initial operation of X-ray equipment, ensuring compliance with **AERB** standards. - **Decommissioning**: Safe disposal and decommissioning of X-ray equipment, adhering to **AERB** regulations. - **Licensing**: Assistance with securing **AERB licenses** for X-ray equipment, ensuring full regulatory compliance. In addition to these services, we specialize in the sale and service of both **refurbished** and **new** diagnostic equipment: - **Refurbished CT Scanners, Cath Labs, and C-Arms**: High-quality refurbished equipment offering cost-effective solutions without compromising on performance or compliance. - **New X-ray Machines with CR and DR Options**: We offer the latest in X-ray technology, including both **Computed Radiography (CR)** and **Digital Radiography (DR)** systems, tailored to meet your specific needs. We also provide flexible **payment options**, making it easier to acquire and maintain cutting-edge diagnostic equipment. Partner with Envision Research Lab for reliable, compliant, and cost-effective solutions in diagnostic radiology.

Waste water Treatment

Seeking for collaboration opportunity

Research Collaboration in Bioinformatics, Network Pharmacology, and Computer-Aided Drug Discovery

I am inviting researchers, faculty members, and early-career scientists to collaborate on interdisciplinary research projects in the fields of bioinformatics, computational biology, and drug discovery. This collaboration aims to support students and researchers in developing high-quality research projects, publications, and advanced analytical skills using modern computational approaches. My research expertise includes network pharmacology, molecular docking, virtual screening of natural product libraries, cheminformatics, and systems biology approaches for drug discovery. Through this collaboration, participants will gain guidance on research design, data analysis, and scientific writing aligned with international academic standards. This collaboration is particularly suitable for students and researchers interested in computational approaches for natural product drug discovery, target identification, pathway analysis, and systems pharmacology. Areas of Collaboration Bioinformatics and computational biology research Network pharmacology analysis Molecular docking and virtual screening Natural product drug discovery Data analysis and interpretation Research paper and thesis guidance Expected Outcomes Development of collaborative research projects Guidance for thesis and dissertation work Preparation of research manuscripts for publication Skill development in modern computational biology tools Ideal Collaborators Undergraduate and postgraduate students PhD scholars and early-career researchers Faculty members interested in computational drug discovery

Research Article writing

I am interested in scientific research article writing in the fields of pharmaceutical, medical, chemical, and other related disciplines. Please feel free to contact me if you require any further information or assistance.”

Research mentorship and scientific project collaboration

I am keen to engage in collaborative research in pharmaceutical and biomedical sciences, with a focus on advancing drug discovery, therapeutic development, and scientific innovation. I provide comprehensive support to researchers and students in structuring and executing research projects from inception to completion. This includes guidance in developing the introduction, literature review, methodology, results, discussion, and reference management in high-quality scientific writing. In addition, I offer expertise in pharmacological evaluations, bioactive compound analysis, and formulation studies. I welcome interdisciplinary collaborations aimed at generating impactful research, improving therapeutic effectiveness, and facilitating high-quality scientific publications.

Advancing Pharmaceutical Research Through Collaborative Mentorship

This research collaboration aims to investigate emerging challenges and innovations in pharmaceutical sciences, with a focus on improving drug formulation, therapeutic effectiveness, and patient outcomes. The project may explore areas such as novel drug delivery systems, pharmacological evaluation of new compounds, quality control and analytical method development, or pharmacovigilance and clinical outcomes. The exact research topic, methodology, and study population can be finalized collaboratively based on mutual research interests. The collaboration will provide structured academic guidance and support to students and researchers in the following areas: 1. Literature review development and identification of research gaps. 2. Selection and validation of analytical or experimental methods. 3. Research design (experimental / analytical / clinical / observational studies). 4. Data analysis using statistical tools such as SPSS, GraphPad Prism, or Design-Expert. 5. Interpretation of experimental and pharmacological data. 6. Scientific writing, manuscript preparation, and journal publication support This collaboration aims to strengthen research skills, encourage innovative pharmaceutical research, and support the publication of high-quality scientific work in peer-reviewed journals.

Home Digital Practices and Cognitive Self-Regulation in Early Childhood

This research collaboration aims to investigate the role of family digital habits and home learning contexts in shaping cognitive self-regulation among preschool children. The project may examine parental mediation strategies, digital literacy levels, screen engagement patterns, and environmental stimulation as predictors of executive functioning skills. The exact constructs, measures, and population focus can be finalized collaboratively. Students will receive guidance on: Literature review development Scale identification and validation Research design (cross-sectional / correlational) Data analysis (SPSS/AMOS/Process, if needed. Academic writing and publication preparation

Research Collaboration - Writing manuscripts and publishing

Research Interest - Machine Learning, Deep Learning, Artificial Intelligence, and Internet of Things