Comprehensive Assessment Research Articles

Robot-assisted treatment of secondary epilepsy caused by parasitic infection: a case report

BackgroundCerebral sparganosis represents the most severe manifestation of sparganosis, with a relatively low global incidence. For cases of secondary epileptic seizures caused by sparganosis infection in the functional areas of the brain, what advanced neurosurgical techniques should be employed to precisely identify and excise the epileptic lesions in the deep functional areas of the brain, aiming to achieve maximal removal while minimising the risk of neurological deficits? This remains a current challenge for epilepsy surgeons.Case presentationA 24-year-old Chinese male was admitted to our hospital, presenting with a history of left limb twitching persisting for over a year. His main clinical symptoms presented twitching and numbness of his left limb without loss of consciousness. Under the premise of inappropriate anti-seizure treatment, recurrent epilepsy attacked persist. The patient's diagnosis was considered as “space-occupying lesions in the several lobes of brain, secondary epilepsy” after comprehensive assessment and discussion. And experts considered that the patient's space-occupying lesions in the right frontal and parietal lobes were highly suspected to be infected by parasites. This report delved into the application of neurosurgery robot-assisted frameless stereotaxic technology and intraoperative stereotactic electroencephalography (SEEG) monitoring technology to accurately locate and optimize removal of parasite-related epileptic lesions situated in functional areas of the brain. As a result, the patient had achieved seizure freedom, leaving no symptoms of neurological deficit.ConclusionsWith the highly integrated development of imaging technology, mechanical technology, computer control technology, and artificial intelligence, surgical robots are poised to play a larger role across various neurosurgical specialties in the future. Considering benefits for patients and the promising application of this technology, its utilization holds significant value.

Frailty, Outcomes, Recovery and Care Steps of Critically Ill Patients (FORECAST): a prospective, multi-centre, cohort study.

Frailty is common in critically ill patients but the timing and optimal method of frailty ascertainment, trajectory and relationship with care processes remain uncertain. We sought to elucidate the trajectory and care processes of frailty in critically ill patients as measured by the Clinical Frailty Scale (CFS) and Frailty Index (FI). This is a multi-centre prospective cohort study enrolling patients ≥ 50years old receiving life support > 24h. Frailty severity was assessed with a CFS, and a FI based on the elements of a comprehensive geriatric assessment (CGA) at intensive care unit (ICU) admission, hospital discharge and 6months. For the primary outcome of frailty prevalence, it was a priori dichotomously defined as a CFS ≥ 5 or FI ≥ 0.2. Processes of care, adverse events were collected during ICU and ward stays while outcomes were determined for ICU, hospital, and 6months. In 687 patients, whose age (mean ± standard deviation) was 68.8 ± 9.2years, frailty prevalence was higher when measured with the FI (CFS, FI %): ICU admission (29.8, 44.8), hospital discharge (54.6, 67.9), 6months (34.1, 42.6). Compared to ICU admission, aggregate frailty severity increased to hospital discharge but improved by 6months; individually, CFS and FI were higher in 45.3% and 50.6% patients, respectively at 6months. Compared to hospital discharge, 18.7% (CFS) and 20% (FI) were higher at 6months. Mortality was higher in frail patients. Processes of care and adverse events were similar except for worse ICU/ward mobility and more frequent delirium in frail patients. Frailty severity was dynamic, can be measured during recovery from critical illness using the CFS and FI which were both associated with worse outcomes. Although the CFS is a global measure, a CGA FI based may have advantages of being able to measure frailty levels, identify deficits, and potential targets for intervention.

Assessments and observations of infection prevention and control practices in US outpatient hemodialysis facilities, 2015-2018: important opportunities for improvement.

Infections cause substantial morbidity and mortality among patients receiving care in outpatient hemodialysis facilities. We describe comprehensive infection prevention assessments by US public health departments using standardized interview and observation tools. Results demonstrated how facility layouts can undermine infection prevention and that clinical practices often fall short of policies.

Comprehensive assessment of green hydrogen potential in Jordan: economic, environmental and social perspectives

Comprehensive assessment of green hydrogen potential in Jordan: economic, environmental and social perspectives

A comprehensive analytical and computational assessment of soil water characteristics curves in Atlantic Canada: Application of a novel SelectKbestbased GEP model

For sustainable agriculture, irrigation is one of the most important management practices in a semi-arid climate. Determining the site-specific soil type-based irrigation water requirements requires the development of a soil water characteristics curve (SWCC). This study focuses on exploring the suitability of analytical SWCC models based on the observed data of SWCC developed using the pressure membrane apparatus. A novel SelectKbest gene expression programming (GEP) model is used to create the generalized machine learning SWCC model for Atlantic Canadian soils. The composite soil samples with representative soil textures of loamy sand, loam, and sandy loam are collected from the selected locations in Prince Edward Island and New Brunswick provinces of Canada. The suitability of models at three regions shows that at all sites, including PEI-1 (loam soil) 1, PEI-2 (loamy sand), and NB-3 (sandy loam) if SWCC data has four measured suction potential levels, then McBee & Bomb and Tani exponential models may be selected. Van Genuchten, double exponential, Ruso, Kosuki, and Gardner's four parameters models should be a good choice for five-section potential. Similarly, for six measured suction potential values, the Fredlund & Xing, Omuto, and Van Genuchten models having parameters should be selected for determining the optimum soil hydraulic parameters. The HydroMe program with Brooks and Corey, four, and five parameters Van Genuchten models performed well. The HydroMe program is calibrated and validated with standard RETC for selected regions of Atlantic Canada, which suggests that the HydroMe program is flexible in developing efficient agricultural water management algorithms. Various performance metrics like R2 and RMSE are employed to assess the robustness of the model. A generalized SWCC model (R2=0.976 and RMSE=0.04) is developed using a novel SelectKbest-based GEP modeling approach for Atlantic Canadian soils. These novel approaches can significantly improve site-specific agricultural water management and decision support systems.

Advancing Health Equity through 15-min Cities and Chrono-urbanism.

Implementing the 15-min city and chrono-urbanism aims to improve sustainability and quality of life by ensuring residents' proximity to essential services. The 15-min city model is gaining global traction, with localized adaptations to suit communities' needs. Beyond environmental motivations, 15-min cities can benefit public health through enhanced walkability, social cohesion, and universal accessibility. However, research examining the intersection of health and equity among chrono-urbanism and the 15-min city remains limited. This study aims to develop a framework to integrate health and equity into chrono-urbanism and 15-min city plans. We describe the potential benefits and risks of the 15-min approach for urban planning, daily behaviors, and health outcomes. Potential benefits of 15-min cities for health equity include proximity to destinations, increased physical activity, strengthened social capital, reduced emissions, and traffic calming. Risks that must be mitigated include gentrification, variable proximity definitions, infrastructure upgrades, and inadequate cultural sensitivity. Recommendations to integrate 15-min cities into planning activities include conducting comprehensive baseline assessments, aligning goals with sustainability, economic development, flexible zoning, inclusive public spaces, and diverse community engagement tactics. We recommend interventions targeting marginalized communities and developing standardized measurement tools for comparison, monitoring, and evaluation. A nuanced, equitable approach to implementing 15-min cities can help urban plans support health equity across diverse populations.

Improving malignant fungating wound management among oncology nurses: a best practice implementation project.

Appropriate malignant fungating wound (MFW) care is challenging for oncology nurses, leading to increased stress, compromised care quality, and poor patient outcomes. This study aimed to address best practice barriers and develop evidence-based guidelines for MFW care. This project was guided by the JBI Evidence Implementation Framework, which follows a seven-phase process. Both nurses' skills and patient charts were audited to determine compliance with best practices for comprehensive MFW assessment, wound photo records, use of validated wound assessment tools, appropriate wound care, and patient pain and satisfaction. Bandura's social learning theory was used to guide the development of an online education program and an objective structured clinical examination for skill improvement to prompt behavior change in nurses. A follow-up audit was conducted to measure improvements in knowledge, skills, and self-efficacy among nurses to validate the effectiveness of the intervention. The project resulted in improvements in all four evidence-based practice criteria: (1) comprehensive MFW assessments increased from 27% to 98%; (2) the inclusion of wound photos in medical records increased from 50% to 100%; (3) use of a validated wound assessment tool increased from 0% to 100%; and (4) appropriate interventions to manage wounds and maintain patients' quality of life increased from 50% to 90%. The project integrated a flexible education program, multidisciplinary collaboration, and leadership support to empower nurses to effectively manage MFWs. In addition, Bandura's social learning theory was used to influence nurses' behavior and bring about sustainable changes to organizational culture and practices. http://links.lww.com/IJEBH/A205.

CAR T cells outperform CAR NK cells in CAR-mediated effector functions in head-to-head comparison

BackgroundCAR NK cells as vehicles for engineered “off-the-shelf” cellular cancer immunotherapy have attracted significant interest. Nonetheless, a comprehensive comparative assessment of the anticancer activity of CAR T cells and CAR NK cells carrying approved benchmark anti-CD19 CAR constructs is missing. Here, we report a direct head-to-head comparison of CD19-directed human T and NK cells.MethodsWe generated CAR T and CAR NK cells derived from healthy donor PBMC by retroviral transduction with the same benchmark second-generation anti-CD19 CAR construct, FMC63.28z. We investigated IFN-γ secretion and direct cytotoxicity in vitro against various CD19+ cancer cell lines as well as in autologous versus allogeneic settings. Furthermore, we have assessed anticancer activity of CAR T and CAR NK cells in vivo using a xenograft lymphoma model in an autologous versus allogeneic setting and a leukemia model.ResultsOur main findings are a drastically reduced capacity for CAR-mediated IFN-γ production and lower CAR-mediated cytotoxicity of CAR NK cells relative to CAR T cells in vitro. Consistent with these in vitro findings, we report superior anticancer activity of autologous CAR T cells compared with allogeneic CAR NK cells in vivo.ConclusionsCAR T cells had significantly higher CAR-mediated effector functions than CAR NK cells in vitro against several cancer cell lines and autologous CAR T cells outperformed allogeneic CAR NK cells both in vitro and in vivo. CAR NK cells will likely benefit from further engineering to enhance anticancer activity to ultimately fulfill the promise of an effective off-the-shelf product.

Comprehensive Toxicological Assessment of Halobenzoquinones in Drinking Water at Environmentally Relevant Concentration.

Halobenzoquinones (HBQs), an emerging unregulated category of disinfection byproduct (DBP) in drinking water, have aroused an increasing concern over their potential health risks. However, the chronic toxicity of HBQs at environmentally relevant concentrations remains largely unknown. Here, the occurrence and concentrations of 13 HBQs in drinking water from a northern megacity in China were examined using ultrahigh performance liquid chromatography coupled with triple-quadrupole tandem mass spectrometry (UHPLC-MS/MS). Four HBQs, including 2,6-dichloro-1,4-benzoquinone (2,6-DCBQ), 2,6-dibromo-1,4-benzoquinone (2,6-DBBQ), 2,3,6-trichloro-1,4-benzoquinone (TriCBQ), and 2,5-dibromo-1,4-benzoquinone (2,5-DBBQ), were detected beyond 50% occurrence frequency and at median concentrations from 4 to 50 ng/L. The chronic toxicity of these four HBQs to normal human colon and liver cells (FHC and THLE-2) was investigated at these concentrations. After 90 days of exposure, 2,5-DBBQ and 2,6-DCBQ induced the highest levels of oxidative stress and deoxyribonucleic acid (DNA) damage in colon and liver cells, respectively. Moreover, 2,5-DBBQ and 2,6-DCBQ were also found to induce epithelial-mesenchymal transition (EMT) in normal human liver cells via the extracellular signal regulated kinase (ERK) signaling pathway. Importantly, heating to 100 °C (boiling) was found to efficiently reduce the levels of these four HBQs in drinking water. These results suggested that environmentally relevant concentrations of HBQs could induce cytotoxicity and genotoxicity in normal human cells, and boiling is a highly efficient way of detoxification for HBQs.

Test Review of Acadience Reading Diagnostic: Comprehension, Fluency, and Oral Language Assessment

Test Review of Acadience Reading Diagnostic: Comprehension, Fluency, and Oral Language Assessment

2024 Chinese expert consensus guidelines on the diagnosis and treatment of Atrial Fibrillation in the Elderly. Executive Summary.

The consensus guidelines of the Geriatric Society of Chinese Medical Association (GSCMA) on the management of atrial fibrillation (AF) in the elderly was first published in 2011 and updated in 2016, with endorsement by Chinese Society of Geriatric Health Medicine (CSGHM). Since then, many important studies regarding the screening and treatment in the elderly population have been reported, necessitating this updated expert consensus guidelines. The writing committee members comprehensively reviewed updated evidence pertaining to elderly patients with AF, and formulated this 2024 update. The highlighted issues focused on the following: screening for AF, geriatric comprehensive assessment, use of the Atrial fibrillation Better Care (ABC) pathway for the elderly patients, and special clinical settings related to elderly patients with AF. New recommendations addressing smart technology facilitated AF screening, ABC pathway based management and optimal anticoagulation were developed, with a focus on the elderly.

Non-timber forest products: evolution, development and research

ABSTRACT A comprehensive review of the non-timber forest product (NTFP) sector from 1980 to 2022 was undertaken. The study employed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, incorporating explicit keywords. The results indicate that NTFPs underwent significant evolution, including research and development changes, particularly following the Rio de Janeiro summit. Most published research originated from the United States, accounting for 24% of the total; Brazil and India each contributed 10% of the published research. We included 316 potential research items: 262 articles, 19 book chapters, 27 review articles, and eight conference papers. The review analysis highlighted that NTFPs are crucial in meeting food requirements, obtaining specific medicinal resources, and acquiring material inputs for rural households, serving as a safety net during agrarian distress. NTFPs play a crucial role in promoting the development of the bio-economy. In low- and high-income nations with abundant bio-resources, NTFP value chains are increasingly pertinent for generating revenue, enhancing livelihoods, and reducing poverty in forest dependent communities. Further, the analysis emphasized that NTFP consumption, utilization, and sales occur at the household level, and its comprehensive assessment is challenging, leading to the need for a reevaluation of approaches that include value chain analysis.

Clinimetric properties of the "FIND-NEEDS" to screen geriatric conditions.

Comprehensive geriatric assessment (CGA) is used to thoroughly assess and identify complex healthcare problems among older adults. However, administration of CGA is time-consuming and labor intensive. A simple screening tool with the mnemonic "FIND-NEEDS" was developed to quickly identify common geriatric conditions. The present study was to evaluate the clinimetric properties of the FIND-NEEDS. First-visiting older adults aged 65 years and above (and who were able to communicate by themselves or with the help of a caregiver) were assessed (October to December, 2021) using the FIND-NEEDS and CGA at geriatric outpatient clinics of a tertiary, referred medical center. The FIND-NEEDS was examined for its criterion-related validity and compared with the CGA results. Two types of scoring (summed score and binary score) of FIND-NEEDS and CGA were analyzed using Spearman correlation, sensitivity and specificity, and area under receiver operating characteristic curve (AUC). The mean age of the 114 outpatients was 78.3±7.6 years, and 79(69.3%) were female. The internal consistency was excellent when using all FIND-NEEDS items, and was acceptable when using domain scores. Exploratory factor analysis showed that most of the FIND-NEEDS domain scores had factor loadings higher than 0.3. Intercorrelations of binary scores between domains of FIND-NEEDS and CGA showed most domains were moderately correlated. The overall correlation of summed scores between FIND-NEEDS and CGA was high. The FIND-NEEDS summed score was moderately correlated with CGA score (r=0.494; p<0.001), and the binary score showed excellent correlation (r=0.944; p<0.001). When using the CGA score as the gold standard, the FIND-NEEDS showed excellent AUC (0.950), sensitivity (1.00), and specificity (0.90). The present study demonstrated that the FIND-NEEDS had acceptable clinimetric properties to screen for geriatric problems among older adults. Further in-depth assessment and care plan can then be conducted afterwards.

A Comprehensive Survey and Assessment of Rice Blast Disease Incidence from Major Rice Growing Districts of Telangana State, India

Aim: The aim of this study was to assess the incidence and severity of rice blast disease caused by Pyricularia grisea in various rice cultivars grown in Telangana State during the kharif season of 2019. Methodology: A purposive disease survey was conducted in major rice-growing areas of Telangana State. Disease incidence and severity were recorded from the tillering to grain hardening stage. Percentage disease incidence and severity were calculated at each sampling location. Additionally, pathogenicity tests were conducted on susceptible rice cultivar TN-1 using different isolates of P. grisea. Results: The study revealed significant variations in rice blast disease incidence and severity across the surveyed areas. Disease incidence ranged from 18.5% in Mancherial to 79.41% in Peddapalli, while severity ranged from 22.2% to 85.1%. All sampled cultivars exhibited varying degrees of susceptibility, with severity scores ranging from moderately resistant (2.0) to highly susceptible (9.0). TN-1 showed the highest blast severity, while WGL 1368 exhibited the least severity. Pathogenicity tests showed significant differences among P. grisea isolates, with reactions on TN-1 ranging from moderately susceptible (4.0 to 5.0) to highly susceptible (8.0 to 9.0). Conclusion: The study highlights the widespread occurrence of rice blast disease in Telangana State and underscores the varying susceptibility levels among rice cultivars. These findings emphasize the importance of continued monitoring and management strategies to mitigate the impact of rice blast disease on rice production in the region.

Semi-TSGAN: Semi-Supervised Learning for Highlight Removal Based on Teacher-Student Generative Adversarial Network

Despite recent notable advancements in highlight image restoration techniques, the dearth of annotated data and the lightweight deployment of highlight removal networks pose significant impediments to further advancements in the field. In this paper, to the best of our knowledge, we first propose a semi-supervised learning paradigm for highlight removal, merging the fusion version of a teacher–student model and a generative adversarial network, featuring a lightweight network architecture. Initially, we establish a dependable repository to house optimal predictions as pseudo ground truth through empirical analyses guided by the most reliable No-Reference Image Quality Assessment (NR-IQA) method. This method serves to assess rigorously the quality of model predictions. Subsequently, addressing concerns regarding confirmation bias, we integrate contrastive regularization into the framework to curtail the risk of overfitting on inaccurate labels. Finally, we introduce a comprehensive feature aggregation module and an extensive attention mechanism within the generative network, considering a balance between network performance and computational efficiency. Our experimental evaluations encompass comprehensive assessments on both full-reference and non-reference highlight benchmarks. The results demonstrate conclusively the substantive quantitative and qualitative enhancements achieved by our proposed algorithm in comparison to state-of-the-art methodologies.

BiVO4-based heterojunction nanophotocatalysts for water splitting and organic pollutant degradation: a comprehensive review of photocatalytic innovation

Abstract The novel semiconductor photocatalytic material bismuth vanadate (BiVO4) is gaining significant attention in research due to its unique characteristics, which include a low band gap, good responsiveness to visible light, and non-toxic nature. However, intrinsic constraints such as poor photogenerated charge transfer, slow water oxidation kinetics, and fast electron–hole pair recombination limit the photocatalytic activity of BiVO4. Building heterojunctions has shown to be an effective strategy for enhancing charge separation and impeding electron–hole pair recombination over the last few decades. This review covers the state-of-the-art developments in heterojunction nanomaterials based on BiVO4 for photocatalysis. It explores heterojunction design, clarifies reaction mechanisms, and highlights the current developments in applications including photocatalytic water splitting and organic matter degradation. Finally, it offers a preview of the development paths and opportunities for BiVO4-based heterojunction nanomaterials in the future. This comprehensive assessment of BiVO4-based heterojunctions provides insightful knowledge to researchers in materials science, chemistry, and environmental engineering that will drive advances and breakthroughs in these important fields.

A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering

AbstractArtificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble learning (EL) are four outstanding approaches that enable algorithms to extract information from data and make predictions or decisions autonomously without the need for direct instructions. ANN, ML, DL, and EL models have found extensive application in predicting geotechnical and geoenvironmental parameters. This research aims to provide a comprehensive assessment of the applications of ANN, ML, DL, and EL in addressing forecasting within the field related to geotechnical engineering, including soil mechanics, foundation engineering, rock mechanics, environmental geotechnics, and transportation geotechnics. Previous studies have not collectively examined all four algorithms—ANN, ML, DL, and EL—and have not explored their advantages and disadvantages in the field of geotechnical engineering. This research aims to categorize and address this gap in the existing literature systematically. An extensive dataset of relevant research studies was gathered from the Web of Science and subjected to an analysis based on their approach, primary focus and objectives, year of publication, geographical distribution, and results. Additionally, this study included a co-occurrence keyword analysis that covered ANN, ML, DL, and EL techniques, systematic reviews, geotechnical engineering, and review articles that the data, sourced from the Scopus database through the Elsevier Journal, were then visualized using VOS Viewer for further examination. The results demonstrated that ANN is widely utilized despite the proven potential of ML, DL, and EL methods in geotechnical engineering due to the need for real-world laboratory data that civil and geotechnical engineers often encounter. However, when it comes to predicting behavior in geotechnical scenarios, EL techniques outperform all three other methods. Additionally, the techniques discussed here assist geotechnical engineering in understanding the benefits and disadvantages of ANN, ML, DL, and EL within the geo techniques area. This understanding enables geotechnical practitioners to select the most suitable techniques for creating a certainty and resilient ecosystem.

Study on the Environmental Impact and Benefits of Incorporating Humus Composites in Anaerobic Co-Digestion Treatment

This study evaluated the environmental impact and overall benefits of incorporating humus composites in the anaerobic co-digestion of kitchen waste and residual sludge. The life cycle assessment method was used to quantitatively analyze the environmental impact of the entire anaerobic co-digestion treatment process of waste, including garbage collection, transportation, and final product utilization. Moreover, the comprehensive assessment of the environmental impact, energy-saving and emission-reduction abilities, and economic cost of using humus composites in the anaerobic co-digestion treatment process was conducted using a benefit analysis method. The results showed that the anaerobic co-digestion of kitchen waste and residual sludge significantly contributed to the mitigation of global warming potential (GWP), reaching −19.76 kgCO2-eq, but had the least impact on the mitigation of acidification potential (AP), reaching −0.10 kgSO2-eq. In addition, the addition of humus composites significantly increased the production of biogas. At a concentration of 5 g/L, the biogas yield of the anaerobic co-digestion process was 70.76 m3, which increased by 50.62% compared with the blank group. This amount of biogas replaces ~50.52 kg of standard coal, reducing CO2 emissions by 13.74 kg compared with burning the same amount of standard coal. Therefore, the anaerobic co-digestion treatment of kitchen waste and residual sludge brings considerable environmental benefits.

HRD-negative high-grade carcinoma of the ovary in <i>BRCA2</i> pathogenic variant carrier

Background. Homologous recombination deficiency (HRD) is a valuable molecular marker for predicting response to platinum agents and poly(ADP-ribose)-polymerase (PARP) inhibitors. Germline and somatic alterations in the BRCA1 and BRCA2 genes are the major cause of HRD in ovarian cancer. However, in some cases, tumors arising in carriers of BRCA1 or BRCA2 pathogenic variants do not lose the normal copy of the corresponding gene and are not deficient for homologous recombination. Aim of the study was to present a case of high-grade ovarian carcinoma without HRD phenotype developed in a BRCA2 mutation carrier. Case report. A 48-year-old woman was diagnosed with multiple primaries: HER2-positive high-grade ovarian cancer and colorectal adenocarcinoma. analysis of the coding BRCA1/BRCA2 sequences revealed the germline BRCA2 c.658_659delgt [rs80359604] pathogenic variant. Given the unusual histological features, namely the absence of serous or endometrioid markers and high HER2 expression, we performed additional molecular analysis of the metastatic lesions in the lymph nodes. In all samples, the pattern of chromosomal instability did not match the HRD profile and there was loss of the mutant copy of the BRCA2 gene. Therefore, this tumor lacked the BRCAness phenotype. Conclusion. Tumors arising in HRR gene mutation carriers require additional molecular analysis for a comprehensive assessment of HRD.

A Comprehensive Study on Methane Adsorption Capacities and Pore Characteristics of Coal Seams: Implications for Efficient Coalbed Methane Development in the Soma Basin, Türkiye

Abstract This study represents a comprehensive assessment of methane adsorption capacity and pore characteristics for the coal seams of the Soma Basin in Western Türkiye, with a focus on their implications for coalbed methane potential. Twenty-one exploration wells were utilized to obtain coal samples from the kP1 and kM2 coal seams in the Kınık coalfield of the Soma Basin. High-pressure methane adsorption experiments using the indirect gravimetric method were conducted to quantify the storage capacities of these coal seams. Results revealed a wide range of methane adsorption capacities, ranging from 10.5 to 28.3 m3/t (air-dry basis), indicating significant methane storage potential for the kP1 and kM2 coal seams. The gas contents, ranging from 1.1 to 4.3 m3/t (as-received basis), suggested that the coal seams were undersaturated. Low-pressure N2/CO2 adsorption tests, along with standard proximate and gross calorific value analyses, were performed to investigate the influence of coal quality and pore characteristics on methane adsorption capacities. The findings demonstrated correlations between coal quality parameters and adsorption capacity, with ash yield showing a moderately negative correlation and fixed carbon content and gross calorific values exhibiting moderately positive correlations. Microporosity was identified as the critical factor governing methane adsorption, with a strong positive correlation observed between micropore surface areas and volumes and adsorption capacity. These results highlight the significant methane storage capacities of the coal seams in the Soma Basin and underscore the importance of micropores in determining methane adsorption capacity. The findings provide valuable insights for optimizing methane extraction and utilization in the region and offer important considerations for reservoir characterization and development strategies in similar low-rank coal deposits. Highlights Extensive evaluation of methane adsorption and pore characteristics in Soma Basin coals, uncovering substantial potential for coalbed methane. The study reveals a diverse range of methane adsorption capacities, indicating highly promising methane storage capabilities. Correlation between coal quality parameters and methane adsorption, offering valuable insights into gas storage influenced by coal composition. Emphasis on the crucial role of micropores in methane storage, underscoring their significance as primary adsorption sites. Practical implications for optimizing methane extraction and utilization, guiding reservoir development in low-rank coal deposits like Soma Basin.