Global Research Society Publisher

GRS Publisher Open Access Policy
Introduction
GRS Publisher is committed to advancing knowledge and fostering collaboration through open access publishing. Our open access policy ensures that research is freely accessible to all, promoting wider dissemination and engagement with scholarly work.
Definition of Open Access
Open access (OA) refers to the practice of providing unrestricted access to scholarly research outputs, including journal articles, books, and other academic publications. All materials published under this policy are freely available to read, download, and share, without financial, legal, or technical barriers.
Mission and Vision
Our Mission
Our mission is to publish rigorous, peer-reviewed scholarly work that contributes to the advancement of science, education, and society. We strive to maintain the highest standards of integrity and quality in all our publications, ensuring that each piece of research is a valuable resource for the academic community and beyond. We envision a world where knowledge is freely accessible to all, empowering researchers, students, and the general public to engage with and contribute to the global dialogue of ideas. Our commitment to open access ensures that research can be disseminated widely, promoting collaboration and discovery.
Our Vision
We envision a world where knowledge is freely accessible to all, empowering researchers, students, and the general public to engage with and contribute to the global dialogue of ideas. Our commitment to open access ensures that research can be disseminated widely, promoting collaboration and discovery.
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Journals
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Track Manuscript
Latest Article
1. Biotechnological Approaches in the Detection, Control, and Prevention...
2

Dr. Anjali Maria*
First year junior resident Dept .of microbiology Pushpagiri institute of medical sciences and research Centre, thiruvalla, Pathanamthitta, kerala.
1-8

Background- Candida auris is an emerging multidrug-resistant (MDR) fungal pathogen that poses a significant global health threat, particularly in healthcare settings. Its ability to cause invasive infections, coupled with its resistance to multiple antifungal drugs and propensity for hospital outbreaks, necessitates rapid and accurate diagnostic and control strategies. Aim- This report aims to comprehensively review the biotechnological approaches employed in the rapid detection, effective control, and proactive prevention of C. auris infections. A particular focus will be placed on CRISPR-based diagnostic methods and novel biotechnological interventions for managing this formidable pathogen. Methodology- Conventional diagnostic methods for C. auris often suffer from limitations such as prolonged turnaround times and misidentification issues. The advent of molecular diagnostics, including PCR, sequencing, and MALDI-TOF, has significantly improved detection capabilities. Among these, CRISPR technology has emerged as a highly promising tool for rapid, sensitive, and specific C. auris detection. Systems like SHERLOCK and DETECTR, utilizing Cas12 and Cas13 enzymes, offer point-of-care potential and the ability to detect resistance genes. Beyond diagnostics, biotechnological strategies for control and prevention involve the development of novel antifungal compounds, nanotechnology-based solutions such as antifungal coatings and targeted nanoparticles, and CRISPR-based gene editing for identifying therapeutic targets. These innovations are crucial for mitigating the spread and impact of C. auris. Conclusion- CRISPR-based diagnostic approaches represent a significant advancement in the rapid and accurate identification of C. auris, facilitating timely intervention and outbreak control. Coupled with other biotechnological innovations in prevention and control, these strategies are poised to revolutionize the management of this challenging fungal pathogen, ultimately improving patient outcomes and public health safety.
2. Generative AI and the Illusion of Learning: Examining Metacognitive Fl...
6

Abdul Alim*
Department of Business Development, National Research University of Higher Economics (HSE)
22-35
https://doi.org/10.5281/zenodo.20484331

Fast spread of smart computer programs, especially big language models, changed how people learn today - offering quick answers, short recaps, because they help solve problems fast. Even though such tools bring clear advantages in education, there’s a risk learners might feel they know more than they actually do. What looks like solid grasp could just be surface-level comfort. This work digs into how thinking about one's own thinking connects to overconfidence when using AI helpers. Ideas around mental effort, memory recall, reliance on outside aids play a role here. Smoothness of machine-made replies often tricks students into believing they’ve learned deeply. That smooth flow gets mistaken for real insight, which leads them to rate their knowledge higher - even if test results tell another story. Using large language models too much might make people think less deeply, skip useful memory exercises, then forget things faster. What students believe they learn often does not match what they actually retain - a pattern showing how easily judgment can drift off track with AI help. Even so, artificial intelligence tools still hold value inside classrooms if paired with methods like questioning oneself or pausing to reflect. Clear guidance emerges near the end: those who study, teach, or build tech should adjust their habits to support sharper thinking alongside machines. This work adds weight to ongoing conversations about pairing smart devices with mental effort, aiming for deeper understanding that lasts longer.
3. Effects of Multisensory Teaching Methods on Students’ Achievement in E...
5

Habiyambere Ernest*, Twagirumu...
Department of Educational Administration and Management, Chhatrapati Shahu Ji Maharaj University, Kanpur.
18-25
https://doi.org/10.5281/zenodo.20484632

This study examined the effects of multisensory teaching methods on students’ achievement in English in inclusive classrooms at G.S. HVP Gatagara in Rwanda. The study employed a quantitative exploratory research design involving 69 respondents composed of students, English teachers, the dean of studies, and the head teacher. Data were collected using questionnaires, observation, and document analysis. Statistical analysis revealed that 69.6% of respondents strongly agreed that multisensory teaching methods improve English instruction, while 30.4% agreed. Findings further indicated that multisensory instruction positively contributed to students’ English achievement through improved communication skills, increased learner engagement, enhanced memory retention, and better academic performance. However, the implementation of the approach faced challenges including inadequate teacher training (45%), insufficient teaching resources (31.8%), overloaded curriculum content (17.4%), and overcrowded classrooms (5.8%). The study concludes that multisensory pedagogy significantly improves English learning outcomes in inclusive educational settings and recommends strengthened teacher professional development, adequate instructional resources, and institutional support for effective implementation.
4. Utility of Diffusion-Weighted Imaging and ADC Mapping on 3T MRI in Cha...
2

Prof Dr Bhawana Sonawane*, Dr...
Department of Radiology IGGMC Nagpur MH India 440018.
14-21
https://doi.org/10.5281/zenodo.20484293

Background- Intracranial lesions encompass a wide spectrum of neoplastic, infective, inflammatory, ischemic, and cystic pathologies. Conventional magnetic resonance imaging (MRI) sequences often demonstrate overlapping imaging appearances, making accurate diagnosis challenging. Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping provide additional physiological and microstructural information that can improve lesion characterization. Aim- To evaluate the role of diffusion-weighted imaging and ADC values obtained from 3T MRI in the assessment and differentiation of intracranial lesions. Materials and Methods- A prospective observational study was conducted in patients presenting with suspected intracranial lesions who underwent MRI brain examination using a 3T MRI scanner. Conventional MRI sequences including T1-weighted, T2-weighted, FLAIR, and post-contrast imaging were performed along with DWI and ADC mapping. Lesions were analyzed for diffusion restriction patterns and quantitative ADC values. Histopathology, clinical follow-up, and radiological correlation were used for final diagnosis. Results- High-grade tumors, pyogenic abscesses, epidermoid cysts, and acute infarcts demonstrated restricted diffusion with low ADC values. Low-grade gliomas, arachnoid cysts, and cystic lesions with free water diffusion showed elevated ADC values. DWI proved particularly useful in differentiating pyogenic abscesses from necrotic tumors and epidermoid cysts from arachnoid cysts. Quantitative ADC analysis showed significant correlation with lesion cellularity and histopathological grade. Conclusion- DWI and ADC mapping significantly improve the diagnostic accuracy of MRI in intracranial lesions. These techniques provide valuable non-invasive information regarding tissue cellularity, viscosity, and microstructural integrity, thereby aiding lesion characterization, tumor grading, and early diagnosis.