Prominent Regions Research Articles

Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter

The most common reason worldwide for blindness is cataract, the clouding of the lens where vision becomes increasingly blurry. Early detection of cataract is crucial for a better prognosis. This can be achieved with improved automated cataract detection and localization of the affected regions in the fundus images. This work proposes a supervised miniature U-Net (SMi-UNet) for feature extraction integrated with a convolutional neural network (RINet) explicitly designed for fundus images. The dataset used has been self-curated by collecting cataract images from multiple repositories.The proposed SMi-UNet allows a deeper network with significantly reduced parameters than conventional U-Net. The proposed RINet utilizes the features extracted by SMi-UNet for discriminating between a cataract and a normal fundus image. Further, the performance of the RINet is optimized using a cyclic learning rate (CLR) hyperparameter. CLR eliminates the need to find the best value of the learning rate and improves accuracy in a minimum number of epochs, making it suitable for edge devices. Further, to localize the prominent regions in the cataract images, colored heatmap techniques are applied at the last convolutional layer. These maps help visualize the affected areas with a hotter color.The exceptional performance of the proposed technique in cataract detection and its localizationhas been established by quantitative and qualitative data, demonstrating that it can be a valuabletool for early cataract detection. The obtained results were validated by an expert. The proposed RINet attains a classification accuracy of 96% and 93% with and without CLR respectively.

Spatio-Temporal Distributions of the Natural Non-Sea-Salt Aerosol Over the Southern Ocean and Coastal Antarctica and Its Potential Source Regions

More than 40 years of aerosol data including concentrations of particle number and of nine major ions collected over the Southern Ocean and coastal stations have been aggregated and filtered with back trajectories to reduce the risk of influence from adjacent continents. That provided a rich dataset including latitudinal distribution and seasonality of physical and chemical aerosol parameters that allow insights into aerosol sources over the Southern Ocean. These data together with statistics of back trajectory paths of high (75% percentile) and low (25% percentile) concentrations of the studied aerosol parameters were used to identify potential source regions of the respective compounds. For particle number concentrations, MSA, and the non-sea-salt fractions of Ca and potassium the most prominent source regions were found in high DMS-areas close to Antarctica, whereas the potential source regions of NH4 and the non-sea-salt fraction of Mg were located in part further north over the Southern Ocean. These geographical differences would reflect differences in the marine biota.

Impact of COVID-19 Pandemic on Aquaculture Production and Profitability in Bangladesh: A Comprehensive Analysis

In March 2020, the COVID-19 pandemic rapidly spread across Bangladesh, affecting various sectors, including aquaculture. However, there is a lack of evidence regarding the effects on aquaculture production and profitability in the country. The present study addresses this gap and investigates the impact of the COVID-19 pandemic using a convenience questionnaire survey utilising face-to-face and telephonic interviews with 499 fish farmers from five prominent fish-culture regions (Satkhira, Khulna, Madaripur, Bhola, and Mymensingh) in Bangladesh from April to August 2020. The results show aquaculture production losses averaging 29.1 % during the pandemic compared to the pre-pandemic period. Before the COVID-19 pandemic outbreak, the farmers reported a profit of USD3813 per hectare, which turned into a loss of USD2565.4 per hectare during the pandemic period. The standard multiple linear regression analysis indicated that large farms experienced a more significant impact on aquaculture production loss and economic loss during the pandemic period compared to small farms [β = 0.15, P = 0.029]. The causes for the production loss were identified by rank based quotient (RBQ), indicating that increased fish transportation costs and prices of seed and feed dominated during the lockdown. The lockdown and movement restrictions also reduced selling prices because of fewer buyers. The government provided financial support to the fish farmers, but only onethird (36 %) of the respondents received financial aid. The study suggests implementing medium and long-term measures, such as strengthening communication networks, digital marketing strategies and developing strategic planning initiatives to improve disaster management and resilience to mitigate the effects of the pandemic.

Genomic associations with antibody response to an oral cholera vaccine

Oral cholera vaccine is one of the key interventions used in our fight to end the longest pandemic of our time, cholera. The immune response conferred by the currently available cholera vaccines, as measured by serum antibody levels, is variable amongst its recipients. We undertook a genome wide association study (GWAS) on antibody response to the cholera vaccine; globally, the first GWAS on cholera vaccine response. We identified three clusters of bi-allelic SNPs, in high within-cluster linkage disequilibrium that were moderately (p < 5 × 10−6) associated with antibody response to the cholera vaccine and mapped to chromosomal regions 4p14, 4p16.1 and 6q23.3. Intronic SNPs of TBC1D1 comprised the cluster on 4p14, intronic SNPs of TBC1D14 comprised that on 4p16.1 and SNPs upstream of TNFAIP3 formed the cluster on 6q23.3. SNPs within and around these clusters have been implicated in immune cell function and immunological aspects of autoimmune or infectious diseases (e.g., diseases caused by Helicobacter pylori and malarial parasite). 6q23.3 is a prominent region harbouring many loci associated with immune related diseases, including multiple sclerosis, rheumatoid arthritis and systemic lupus erythematosus, as well as IL2 and INFα response to a smallpox vaccine. The gene clusters identified in this study play roles in vesicle-mediated pathway, autophagy and NF-κB signaling. No significant effect of O blood group on antibody response to the cholera vaccine was observed in this study.

Geochemical Characteristics of the Volcanic Rocks Associated with Boron-Rich Deposits from the Xiongba Basin, Qinghai–Tibet Plateau

The Qinghai–Tibet Plateau (QTP) hosts significant lacustrine sedimentary boron-rich deposits, with the Xiongba Basin being a prominent region housing two large sedimentary boron-rich deposits. These deposits are closely associated with extensive Neogene volcanic rocks. This study investigates the origin and boron sources of Miocene volcanic rocks in the Xiangqu River area, located within the Xiongba Basin. The volcanic rocks in the basin comprise ultrapotassic andesites, ultrapotassic trachyte, potassic trachyte, and potassic trachyandeiste. The trace element content and the active/inert elements ratios of the studied volcanic rocks have indicated that they were generated in a subduction environment and were influenced by enrichment fluids derived from deep-sea sediments or altered oceanic crust during their formation. Accordingly, the studied volcanic rocks exhibit significant boron enrichment. The eruption of magma and subsequent hydrothermal activity released boron, which became the primary source for the lacustrine sedimentary boron-rich deposits within the basin. The arc-like trace element features (e.g., Nb-Ta depletion relative to La and K) and high B concentrations in these rocks were inherited from the mantle source, which had been enriched by melt/fluid of the subducted sediments. A two-stage evolutionary model is proposed to explain the enrichment of B in subduction environments, as well as the subsequent melting of the B-enriched source during a post-collisional setting. These findings highlight the potential for boron and lithium mineralization in similar volcanic rock-bearing regions across the QTP. Future exploration efforts in such areas could provide valuable insights into the formation processes of lacustrine sedimentary boron-rich deposits and contribute to the understanding of boron and lithium resource potential.

Interlibrary loan in Türkiye: interlibrary loan tracking system (KITS)

PurposeThis study aims to evaluate the current situation of the interlibrary loan in Türkiye using interlibrary loan tracking system raw data (2008–2019). Data was analyzed geographically to reveal the effect of geographical distance on the collaboration and thematically to identify the prominent areas/topics in the requests. In addition, the requests were evaluated in terms of the type and age of the university, the size of the collection and the number of library users.Design/methodology/approachThe effect of geographical distance on the collaboration was revealed using VOSviewer. The place numbers and titles of the requests were used for thematic analysis, which was performed using Flourish and VOSviewer. Statistical tests were conducted with SPSS to investigate the effects of factors such as university age and type.FindingsGeographic analysis revealed that the prominent regions are Marmara, Central Anatolia and Aegean Regions, respectively. The fact that these regions host Türkiye’s largest cities with the highest number of universities has been effective in achieving this result. The results of the thematic analysis are in accordance with the literature. Almost half of the requests are from Social Sciences, Language and Literature, History and Law. While the effects of collection size and the number of library users have relatively insignificant effects on requests, age and university type were found to be more relevant.Originality/valueInterlibrary loan data of this size has not been the subject of an evaluation before in Türkiye. Hence, the results obtained have the potential to influence relevant policies and decisions on the subject. On the other hand, to the best of the authors’ knowledge, bibliographic mapping was used for the first time on interlibrary loan data.

Infectious Bronchitis Virus (Gammacoronavirus) in Poultry: Genomic Architecture, Post-Translational Modifications, and Structural Motifs

Infectious bronchitis virus (IBV) is an avian coronavirus (CoV) that belongs to the genus Gammacoronavirus and has been listed as an important disease by the World Organization for Animal Health (WOAH). It causes highly contagious respiratory, reproductive, and renal diseases in commercial poultry farms. Multiple IBV serotypes and genotypes have been identified in many countries and many detected variants do not provide cross-protection against infection, resulting in repeated outbreaks and significant economic losses worldwide. In addition, the high genetic mutations and recombination events in the prominent genomic regions of IBV, particularly in the spike glycoprotein (S) and nucleocapsid (N) proteins, are directly involved in the evolutionary processes of IBV and lead to increased pathogenicity and tissue tropism. The characterization of the different genotypes and the relationship between the structure, function, post-translational modifications (PTMs), and structural motifs will elucidate the mechanisms that promote replication and pathogenicity and affect the host’s immune response during infection. In this review, we discuss the molecular features of various IBV genes and proteins that contribute to the infection process. We also highlight the common PTMs and structural motifs that occur during protein synthesis and are essential components of IBV ecology.

Sub-regional variation in atmospheric and land variables regulates tea yield in the Dooars region of West Bengal, India.

Climatic variables can have localized variations within a region and these localized climate patterns can have significant effect on production of climate-sensitive crops such as tea. Even though tea cultivation and industries significantly contribute to employment generation and foreign earnings of several South Asian nations including India, sub-regional differences in the effects of climatic and soil variables on tea yield have remained unexplored since past studies focused on a tea-producing region as a whole and did not account for local agro-climatic conditions. Here, using a garden-level panel dataset based on tea gardens of Dooars region, a prominent tea-producing region in India, we explored how sub-regional variations in climatic and land variables might differently affect tea yield within a tea-producing region. Our analysis showed that the Dooars region harboured significant spatial variability for different climatic (temperature, precipitation, surface solar radiation) and soil temperature variables. Using graph-based Louvain clustering of tea gardens, we identified four spatial sub-regions which varied in terms of topography, annual and seasonal distribution of climatic and land variables and tea yield. Our sub-region-specific panel regression analyses revealed differential effects of climatic and land variables on tea yield of different sub-regions. Finally, for different emission scenario, we also projected future (2025-2100) tea yield in each sub-region based on predictions of climatic variables from three GCMs (MIROC5, CCSM4 and CESM1(CAM5)). A large variation in future seasonal production changes was projected across sub-regions (-23.4-35.7% changes in premonsoon, -4.2-3.1% changes in monsoon and -10.9-10.7% changes in postmonsoon tea production, respectively).

Exploring the Maritime Nexus in Turkey’s African Agenda

ABSTRACT Turkey is labelled an emerging middle power and aspiring to play a more visible role in world affairs with Africa as one prominent region where Turkey expanded its diplomatic presence. Turkey’s growing presence in Africa unfolds along hard and soft diplomatic endeavours with each avenue featuring its own objectives and set of policy instruments to pursue Turkish foreign policy goals. Overall, the countries featuring within Turkey’s Africa policy drive include several coastal states like Sudan, Somalia, Eritrea, Nigeria, and Libya. While Libya represents an aggressive Turkish response, other coastal states like Somalia, Sudan and Eritrea receive security sector support encased in softer capacity building terms. On balance, demarcating and describing the maritime and naval avenues of Turkey’s diplomacy and how Africa features in this shift are underplayed in the growing body of literature on Turkey’s African agenda. To this end, Turkey’s security objectives, the use of its military assets, and mixing soft and hard diplomatic instruments offer scope to also explore the maritime security, and naval diplomacy avenues of Turkey’s interests in Africa.

Identification of Healthy Tissue from Malignant Tissue in Surgical Margin Using Raman Spectroscopy in Oral Cancer Surgeries.

Accurate identification of tissue types in surgical margins is essential for ensuring the complete removal of cancerous cells and minimizing the risk of recurrence. The objective of this study was to explore the clinical utility of Raman spectroscopy for the detection of oral squamous cell carcinoma (OSCC) in both tumor and healthy tissues obtained from surgical resection specimens during surgery. This study enrolled a total of 64 patients diagnosed with OSCC. Among the participants, approximately 50% of the cases were classified as the most advanced stage, referred to as T4. Raman experiments were conducted on cryopreserved tissue samples collected from patients diagnosed with OSCC. Prominent spectral regions containing key oral biomarkers were analyzed using the partial least squares-support vector machine (PLS-SVM) method, which is a powerful multivariate analysis technique for discriminant analysis. This approach effectively differentiated OSCC tissue from non-OSCC tissue, achieving a sensitivity of 95.7% and a specificity of 93.3% with 94.7% accuracy. In the current study, Raman analysis of fresh tissue samples showed that OSCC tissues contained significantly higher levels of nucleic acids, proteins, and several amino acids compared to the adjacent healthy tissues. In addition to differentiating between OSCC and non-OSCC tissues, we have also explored the potential of Raman spectroscopy in classifying different stages of OSCC. Specifically, we have investigated the classification of T1, T2, T3, and T4 stages based on their Raman spectra. These findings emphasize the importance of considering both stage and subsite factors in the application of Raman spectroscopy for OSCC analysis. Future work will focus on expanding our tissue sample collection to better comprehend how different subsites influence the Raman spectra of OSCC at various stages, aiming to improve diagnostic accuracy and aid in identifying tumor-free margins during surgical interventions.

A DCT probability histogram-based ROI features for content-based natural and medical image retrieval applications

The effectiveness of a Content-based Image Retrieval (CBIR) system depends on selecting representative and salient visual features. Capturing the salient image features for forming a feature vector is an essential part of the CBIR process, as it can significantly affect retrieval efficiency. Most images contain a visually prominent region that perceives maximum image semantic information, known as Regions-of-Interest (ROIs). This paper suggests a new CBIR scheme that employs a Graph-based Visual Saliency (GBVS) map to extract the ROI of the image. Further, block-level Discrete Cosine Transforms (DCT) and subsequent histograms are computed for the DC and significant AC coefficients of the extracted ROI image. In addition, a low-dimensional feature vector is formed from the modified histograms. Subsequently, six statistical features from the background scene have also been computed for the final feature vector construction. As a result, the final feature vector contains ROI and background information in their proper proportion to improve retrieval performance. Moreover, the performance of the proposed CBIR scheme has been evaluated using one medical, three natural, two objects, one texture, and one natural heterogeneous image database. All these databases collectively contain 53732 different images from 200 image classes. The outcomes of the experiments demonstrate substantial improvement in the retrieval process with some existing related schemes. At the same time, it also shows that the performance of the proposed scheme is robust concerning all kinds of image databases.

Circulating foot-and-mouth disease virus serotype A African-genotype IV in Egypt during 2022.

Foot-and-mouth disease (FMD) virus causes continuous outbreaks, leading to serious economic consequences that affect animal productivity and restrict trade movement. The potential influence of the disease was due to the emergence of new strains or re-emergence of local strains with major antigenic variations due to genetic mutations. This study aims to evaluate circulating virus in samples collected from infected animals during an outbreak using antigenic characterization and identify whether there is an emergence of a new strain or mutation. Reverse-transcription polymerase chain reaction (RT-PCR) was used to screen 86 samples. Viral protein 1 (VP1) codon sequencing was performed. The virus was isolated from the samples inoculated on the baby-hamster kidney cell line and Enzyme-linked immunosorbent assay was performed for serotyping and antigen detection. Based on the RT-PCR screening results, 10 positive samples were selected for sequencing. The sequences belonged to the FMD serotype A African topotype originating from the ancestor prototype Sudan/77, with which it shared 98.48% ± 1.2% similarity. The divergence with local isolates from 2020 was 9.3%. In addition, the sequences were 96.84% ± 1.01% and 95.84% ± 0.79% related to Egyptian-Damietta type 2016 and Sudanese-2018, respectively. Divergence with vaccinal strains ranged from 10% to 17%. Amino acid sequence analysis revealed that the isolates had variation in the most prominent antigenic regions (residues 35-75) and the immunogenic determinants of the G-H loop of VP1 (residues 100-146 and 161-175). The current isolates should be included in the locally produced vaccine to provide broader immunogenic coverage against serotype A African topotypes.

Genetically programmed retinoic acid deficiency during gastrulation phenocopies most known developmental defects due to acute prenatal alcohol exposure in FASD.

Fetal Alcohol Spectrum Disorder (FASD) arises from maternal consumption of alcohol during pregnancy affecting 2%-5% of the Western population. In Xenopus laevis studies, we showed that alcohol exposure during early gastrulation reduces retinoic acid (RA) levels at this critical embryonic stage inducing craniofacial malformations associated with Fetal Alcohol Syndrome. A genetic mouse model that induces a transient RA deficiency in the node during gastrulation is described. These mice recapitulate the phenotypes characteristic of prenatal alcohol exposure (PAE) suggesting a molecular etiology for the craniofacial malformations seen in children with FASD. Gsc +/Cyp26A1 mouse embryos have a reduced RA domain and expression in the developing frontonasal prominence region and delayed HoxA1 and HoxB1 expression at E8.5. These embryos also show aberrant neurofilament expression during cranial nerve formation at E10.5 and have significant FASD sentinel-like craniofacial phenotypes at E18.5. Gsc +/Cyp26A1 mice develop severe maxillary malocclusions in adulthood. Phenocopying the PAE-induced developmental malformations with a genetic model inducing RA deficiency during early gastrulation strongly supports the alcohol/vitamin A competition model as a major molecular etiology for the neurodevelopmental defects and craniofacial malformations seen in children with FASD.

Brain hubs defined in the group do not overlap with regions of high inter-individual variability

Connector ‘hubs’ are brain regions with links to multiple networks. These regions are hypothesized to play a critical role in brain function. While hubs are often identified based on group-average functional magnetic resonance imaging (fMRI) data, there is considerable inter-subject variation in the functional connectivity profiles of the brain, especially in association regions where hubs tend to be located. Here we investigated how group hubs are related to locations of inter-individual variability. To answer this question, we examined inter-individual variation at group-level hubs in both the Midnight Scan Club and Human Connectome Project datasets. The top group hubs defined based on the participation coefficient did not overlap strongly with the most prominent regions of inter-individual variation (termed ‘variants’ in prior work). These hubs have relatively strong similarity across participants and consistent cross-network profiles, similar to what was seen for many other areas of cortex. Consistency across participants was further improved when these hubs were allowed to shift slightly in local position. Thus, our results demonstrate that the top group hubs defined with the participation coefficient are generally consistent across people, suggesting they may represent conserved cross-network bridges. More caution is warranted with alternative hub measures, such as community density (which are based on spatial proximity to network borders) and intermediate hub regions which show higher correspondence to locations of individual variability.

ANALYSIS OF CROP INSURANCE SCHEME WITH SPECIAL REFERENCE TO COIMBATORE CITY

Crop insurance plays a crucial role in mitigating the financial risks faced by farmers due to adverse weather conditions, pests, diseases, or other unforeseen events. This abstract presents a comprehensive analysis of the crop insurance scheme implemented in Coimbatore City, a prominent agricultural region in southern India. The study aims to evaluate the effectiveness, accessibility, and impact of the crop insurance scheme on farmers in the region.

CRAFT: Concept Recursive Activation FacTorization for Explainability.

Attribution methods, which employ heatmaps to identify the most influential regions of an image that impact model decisions, have gained widespread popularity as a type of explainability method. However, recent research has exposed the limited practical value of these methods, attributed in part to their narrow focus on the most prominent regions of an image - revealing "where" the model looks, but failing to elucidate "what" the model sees in those areas. In this work, we try to fill in this gap with CRAFT - a novel approach to identify both "what" and "where" by generating concept-based explanations. We introduce 3 new ingredients to the automatic concept extraction literature: (i) a recursive strategy to detect and decompose concepts across layers, (ii) a novel method for a more faithful estimation of concept importance using Sobol indices, and (iii) the use of implicit differentiation to unlock Concept Attribution Maps. We conduct both human and computer vision experiments to demonstrate the benefits of the proposed approach. We show that the proposed concept importance estimation technique is more faithful to the model than previous methods. When evaluating the usefulness of the method for human experimenters on a human-centered utility benchmark, we find that our approach significantly improves on two of the three test scenarios. Our code is freely available: github.com/deel-ai/Craft.

Microcrack initiation and propagation in 3 C-SiC ceramic based on molecular dynamics nano-drilling

The evolutionary mechanism of microcracking has been the focus of research in materials processing. The experimental calculation and analysis of microcracking are inevitably difficult due to the limitations of the controllability of its emergence and expansion and the existing observation techniques. In this paper, an experimental model of nano-drilling of 3 C-SiC ceramic parts is constructed using molecular dynamics simulations to achieve real-time observation of the drilling process at the atomic scale, and the microcrack evolution behavior at different depths during the drilling process is discussed, and the microcrack initiation and propagation laws of 3 C-SiC ceramic drilling processing are proposed. The results show that when drilling reaches a certain depth, the compressive stress generated by drilling leads to a prominent region in the plastic deformation zone below the drill bit, where the atomic spacing becomes larger and the workpiece material splits, forming a microcrack eruption zone. The expansion direction of the microcrack is related to the dislocation slip direction, and it expands continuously with the continuous emission of dislocations at the crack tip. The influence of the special evolutionary behavior of the dislocation ring on the microcrack expansion during drilling is focused on, and it is found that the trend of microcrack expansion changed due to the creation of the dislocation ring, and the limit of microcrack expansion is significantly correlated with the dislocation ring evolutionary behavior. With the drilling simulation, the new microcrack expansion showed a periodic occurrence pattern with the special evolutionary behavior of dislocation rings.

Identification of the rice Rc gene as a main regulator of seed survival under dry storage conditions.

Seed deterioration during storage results in poor germination, reduced vigour, and non-uniform seedling emergence. The aging rate depends on storage conditions and genetic factors. This study aims to identify these genetic factors determining the longevity of rice (Oryza sativa L.) seeds stored under experimental aging conditions mimicking long-term dry storage. Genetic variation for tolerance to aging was studied in 300 Indica rice accessions by storing dry seeds under an elevated partial pressure of oxygen (EPPO) condition. A genome-wide association analysis identified 11 unique genomic regions for all measured germination parameters after aging, differing from those previously identified in rice under humid experimental aging conditions. The significant single nucleotide polymorphism in the most prominent region was located within the Rc gene, encoding a basic helix-loop-helix transcription factor. Storage experiments using near-isogenic rice lines (SD7-1D (Rc) and SD7-1d (rc) with the same allelic variation confirmed the role of the wildtype Rc gene, providing stronger tolerance to dry EPPO aging. In the seed pericarp, a functional Rc gene results in accumulation of proanthocyanidins, an important sub-class of flavonoids having strong antioxidant activity, which may explain the variation in tolerance to dry EPPO aging.

Morphometric Assessment of Facial Morphology in Infants with Orofacial Clefts up to two Years of Age: A Three-Dimensional Cross-Sectional Study.

To assess modelled facial development of infants with unilateral cleft lip (CL) and cleft lip and palate (UCLP) compared to controls up to two years of age. A total of 209 facial images of children (CL: n = 37; UCLP: n = 39; controls: n = 137) were obtained in four age categories (T0 = 0.2-0.5; T1 = 0.6-1.0; T2 = 1.1-1.5; T3 = 1.6-2.0 years) and were evaluated using stereophotogrammetry and geometric morphometry. All patients underwent lip surgery before T0, patients with UCLP underwent palatoplasty (T0, T1 before palatoplasty; T2, T3 after palatoplasty). In patients with CL, the forehead was significantly retracted (p ≤ 0.001), while the supraorbital and ocular regions were prominent (p ≤ 0.001). The oronasal region appeared convex (p ≤ 0.001). The lower lip and chin were non-significantly protruded. In patients with UCLP, a significantly retracted forehead and prominent supraorbital region were apparent (p ≤ 0.001). A retrusive oronasal region (p ≤ 0.001) was observed in the middle face. The chin was anteriorly protruded (p ≤ 0.01). No progression of deviations was found with increasing age. After the first year, a slight improvement in the morphological features became apparent. The shape variability of the clefts and controls overlapped, suggesting a comparable modelled facial development. The facial morphology of individuals with cleft was comparable to the norm. Shape deviation was apparent in the oronasal region, forehead, and chin, which minimised with increasing age even in complete clefts.

Hydrogeochemical evaluation for human health risk assessment from contamination of coastal groundwater aquifers of Indo-Bangladesh Ramsar site

The suitability of groundwater (GW) and the corresponding health risk caused by heavy metals become prime concerns in the recent era; so, the determination of GW quality most important for drinking, agricultural, and domestic purpose is the foremost responsibility of the concurrent researchers. Our study intends to develop an innovative approach to delineate the health hazard risk zone (HHRZ) association to the hydro chemical condition of available GW of the most prominent Indo-Bangladesh Ramsar region by coupling the groundwater quality measurement (GWQM), degree of concentration (Cd), and health risk index (HRI) with the help of hazard quotient (HQ) method. A total of 199 GW samples were collected from the Ramsar sites of both countries and twelve (12) significant physiochemical properties, namely Sodium (Na+), Potassium (K+), Magnesium (Mg2+), Nitrate (NO3−), Bicarbonate (HCO3-), Phosphate (PO42−), Fluoride (F−), Chloride (Cl−), Sulphate (SO42−), pH, Arsenic (As) and Electoral conductivity (EC) considered as water quality and health hazard causative factors for this research work. This study also assesses the individual health of each parameter and anthropogenic pressure on this Ramsar region. The produced GWQM reveals that the GW of extensive areas in the eastern, north-east, central, and south-central zone is characterized by unfit for consumption (11.47%), very poor (14.27%), and poor (20.76%) categories; whereas, health hazard map also identified quite a similar zone for significant health risk and wide geographical area of Indo-Bangladesh Ramsar site fall under very high (17.49%), high (13.26%), moderate (7.91%) health risk zone. Therefore, our study will help the policymakers, and governments of both countries in ensuring the monitoring plans, strict water management policies, and adoption of health hazard mitigating measures to ensure the well beings of the exposed inhabitants of this coastal Ramsar site region.