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Diabetes mellitus, particularly type 2 diabetes mellitus (T2DM), represents a rapidly expanding global health challenge with substantial public health and economic consequences. Recent advances in antidiabetic therapy—including dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), dual GIP/GLP-1 receptor agonists, and sodium–glucose cotransporter-2 (SGLT-2) inhibitors—have transformed diabetes management by providing benefits beyond glycemic control, such as cardiovascular and renal protection, weight reduction, and improved quality of life. As the therapeutic landscape becomes increasingly complex and patient-centered, ensuring the safe and effective use of these agents in real-world settings has emerged as a key concern for pharmacoepidemiology and pharmacovigilance. Community pharmacists, as highly accessible healthcare professionals, play an expanding role in diabetes care through medication optimization, patient education, adherence support, and monitoring of adverse drug reactions in primary care. Evidence from systematic reviews and meta-analyses indicates that pharmacist-led interventions improve glycemic outcomes, enhance self-care behaviors, and facilitate the appropriate adoption of contemporary antidiabetic therapies. This narrative review synthesizes current evidence on novel pharmacological treatments for T2DM and examines the evolving contribution of community pharmacists in translating therapeutic innovation into routine practice. Barriers to implementation and future perspectives for integrating pharmacist-led services into diabetes management and pharmacovigilance frameworks are also discussed. Full article

Type 2 myocardial infarction (T2MI) is defined as myocardial necrosis caused by an imbalance between oxygen supply and demand in the absence of acute atherothrombotic coronary occlusion/erosion. Unlike type 1 myocardial infarction (T1MI), T2MI comprises a heterogeneous group of clinical scenarios, often triggered by systemic or cardiac conditions, and it frequently affects elderly patients with a high burden of comorbidities. T2MI often underline multivessel coronary artery disease and, despite its growing clinical relevance, the diagnostic and therapeutic approach to T2MI remains challenging and lacks standardized recommendations. In this review, we present an updated and a comprehensive synthesis of current evidence on the diagnosis and management of T2MI, focusing on the role of coronary angiography and interventional strategies. We discuss the utility of high-sensitivity cardiac biomarkers, imaging modalities, and clinical risk scores to guide patient selection for invasive evaluation. Specific attention is given to conservative and alternative revascularization approaches—including drug-coated balloon angioplasty and stentless percutaneous coronary intervention (PCI)—in frail and high-bleeding-risk patients. The review emphasizes the need for individualized decision-making in a population where standard invasive strategies may not always be appropriate, and where a tailored balance between ischemic and hemorrhagic risk is crucial. Full article

The growth characteristics and changes in major polyphenol content of the rare plant Persicaria chinensis cultivated under greenhouse conditions were investigated to evaluate its potential for large-scale cultivation and industrial use. The fresh and dry weights of the leaves and stems were measured monthly from May to October, and the corilagin, ellagic acid, geraniin, and neochlorogenic acid contents were analyzed. Leaf fresh and dry weights peaked in June (11.73 ± 4.74 g and 3.02 ± 1.22 g, respectively) and increased again in August thereafter, and subsequently decreased, whereas stem fresh and dry weights continuously increased throughout the cultivation period, reaching 20.06 ± 3.88 g and 7.68 ± 1.55 g, respectively, in October. The polyphenol content in leaves was generally highest in June and then declined. In September, the contents of corilagin and ellagic acid showed marked increases, reaching 10.34 ± 4.13 mg/g and 7.26 ± 3.78 mg/g, respectively. In the stems, the polyphenol content was lower than that in the leaves and showed a decreasing trend after the early cultivation stage. Correlation analysis revealed weak relationships between biomass and polyphenol content in the leaves, whereas strong positive correlations among polyphenols and negative correlations between stem growth and polyphenol content were observed in the stems. These results demonstrate that stable greenhouse cultivation of P. chinensis and the accumulation of functional compounds are feasible and provide fundamental information for the development of cultivation strategies, including appropriate fertilization and environmental management, aimed at functional raw material production. Full article

This study aimed to evaluate recycled manure solids (RMSs) as an alternative to straw as dairy bedding under controlled in vitro conditions using two different conditioners. Pre-cut straw and RMSs were treated once with either 10 wt.% hydrated lime, 200 mL/m² of an acidic liquid conditioner or left untreated, and incubated for three days at room temperature. Daily, samples were inoculated with manure and Klebsiella (K.) pneumoniae. Outcomes were aesculin-positive Streptococcus spp. and coliform counts, pH, and dry matter (DM) content. Hydrated lime reduced all target bacteria by >99% in both materials. The acidic conditioner decreased K. pneumoniae and streptococcal counts by 98.62%/96.6% (straw) and 98.63%/99.58% (RMSs), respectively. It reduced Escherichia (E.) coli counts by ~67% in both materials without statistical significance (p = 0.064). RMSs showed higher bacterial loads and lower DM content than straw but could be substantially improved by lime treatment. As the conditioner were applied following different manufacturer-recommended dosing principles, these findings reflect effectiveness under practical use rather than intrinsic superiority of one conditioner. RMSs might represent an alternative bedding material when managed with appropriate hygienic measures, although straw showed more favorable microbiological and physicochemical aspects. Both materials contained substantial bacterial loads prior to treatment. Full article

Studies on land use and land cover changes are essential for predicting future trends and determining natural resource management decisions and the appropriate and precise detection of land use and land cover change is indispensable for obtaining detailed information. In this study, a purposive sampling technique was used for descriptive purposes. Geospatial approaches are powerful tools for analyzing these changes, offering precise, cost-effective, detailed, and advanced insights. This study focused on understanding the spatiotemporal dynamics of land use, land cover, and its drivers in Melokoza, utilizing Landsat images from 1993, 2013, and 2023, with a resolution of 30 m. Through supervised classification using the maximum likelihood method, this study identified six distinct land uses and land covers: forest, settlement, agriculture, shrubland, bare land, and water bodies. The findings revealed significant transformations, with a dramatic shift from natural forests to agriculture and settlements, which are driven by increasing human demands. Over the past three decades, forest and shrubland cover dropped to 29.89% and 12%, respectively, while settlement and agriculture increased by 154.6% and 231.9%. This transformation underscores the pressing need to address the conversion of formerly forested and shrub-covered areas into vibrant farming and settlement areas. To safeguard the stability and sustainability of our natural resources and ecosystems, stakeholders must focus on the pace of land use and land cover changes, mainly the deforestation linked to agricultural expansion and settlement growth. Full article

The global carbon cycle has become increasingly unbalanced over the past century as anthropogenic fluxes into the atmosphere far exceed the sequestration capacity of land and ocean systems. Data from 2025 show estimated annual anthropogenic emissions of ≈11.2 gigatonnes of carbon (GtC), while only ≈5.6 GtC are sequestered by land and ocean sinks mainly provided by photosynthetic CO₂ fixation. The resulting surplus of carbon emissions has led to a doubling of atmospheric CO₂ concentrations above pre-industrial values to ≈430 ppm, which is a major driver of increasingly erratic climatic phenomena. Recent data indicate that fossil fuel use will continue rising up to and beyond 2050, largely negating the drive to cut CO₂ emissions as recommended by the IPCC and other reputable transnational bodies. Hence, there is an urgent need to reduce atmospheric CO₂ levels via carbon sequestration. This review focuses on the proven capacity of biological mechanisms to sequester CO₂ at a global scale with an annual capacity in the range of gigatonnes of carbon. New measures such as re- and a-forestation, plus improved and more sustainable management of tropical tree crops, can further increase the carbon sequestration potential of these plants. By implementing these and other nature-based solutions, the highly productive tropical vegetation belt could contribute an additional 1–2 Gt of carbon sequestration via natural forests and perennial tree crops. In order to expedite this process, we examine the use of new modalities of transparent carbon trading systems that include selected tropical crops. As highlighted at COP30 in Brazil and elsewhere, this would enable tropical countries to derive benefit for costs incurred in land management changes such as reforestation, regenerative farming, and intercropping to benefit smallholders and other rural communities. In particular, carbon finance is emerging as a critical driver, with appropriately regulated and transparent carbon credit schemes offering fungible monetary compensation for climate-positive land management. Full article

Background: Septic shock is a leading cause of mortality worldwide, with community-acquired (CA) and hospital-acquired (HA) infections representing distinct clinical entities. The differences in clinical characteristics, immune response profiles, and effects of sepsis treatments between CA and HA septic shock have not been fully elucidated. Methods: This retrospective cohort study included 726 adults with septic shock who were admitted to two ICUs at Modena University Hospital between January 2006 and September 2024. Patients were classified as having CA or HA septic shock based on the origin of the infection. Clinical, microbiological, and immunological data, treatments, and outcomes were analysed. Immune cell dynamics were assessed during the first week after the onset of the shock. Multivariable Cox regression models were used to identify predictors and the effects of treatment on ICU mortality. Results: Among 344 patients with CA and 382 with HA septic shock, those with CA had higher severity scores but lower ICU and in-hospital mortality. Patients with HA exhibited a higher prevalence of multidrug-resistant organisms and more comorbidities. Immunologically, CA survivors showed increasing lymphocyte counts over time, whereas HA survivors mainly demonstrated recovery in T helper cells. Therapeutic strategies were similar between groups; however, continuous renal replacement therapy was more frequent in patients with HA. Neither appropriate empiric antibiotics nor steroids or immunoglobulin therapy independently improved mortality in the multivariate analyses. Conclusions: CA and HA septic shock differ significantly in terms of clinical severity, microbiological aetiology, immune recovery patterns, and outcomes. The lack of mortality benefit from standard treatments highlights the need for personalised management strategies that integrate clinical, immunological, and microbiological data to optimise care in septic shock subpopulations. Full article

It is now crucial to accurately monitor the state of health (SoH) of batteries in a setting where the use of electric vehicles (EVs) and renewable energy technologies is still growing. To solve this issue and evaluate the SoH, this paper makes use of deep learning technology. The suggested method incorporates voltage, current, and temperature data, which are important indications of the SoH and can potentially be obtained directly from the battery management system (BMS). Although deep neural networks (DNNs) have previously been employed for SoH estimation, our study distinguishes itself by implementing a robust, completely configurable DNN application in MATLAB/Simulink R2019a. This design enables the adjustment of activation functions, layer depth, and neuron count to adapt to different battery aging conditions. To achieve optimal performance, numerous configurations were examined, highlighting the relevance of hyperparameter setting. Our technique avoids traditional feature engineering while providing a practical, adaptive, and accurate SoH estimate framework appropriate for real-world integration. The precision of the improved model was then verified against a Li-ion battery dataset with various discharge profiles given by the national aeronautics and space administration (NASA). The collected findings revealed that the proposed method is more accurate and robust than other regularly used models. The DNN model achieved a Mean absolute error (MAE) of 1.433% and a Coefficient of determination of 0.99998, outperforming previous methods such as CNN-BiGRU, which reported an MAE of 2.448% in a recent publication. This study demonstrates the reliable performance of the DNN in predicting the SoH of Li-ion cells. Full article

Urban green is a key component of municipal natural resources management (MNRM) in metropolitan areas, providing ecosystem services (ESs) related to climate regulation, environmental quality, and citizens’ well-being. However, these ESs are often weakly integrated into municipal management practices, and this may be due to the absence of structured accountability and reporting mechanisms. This study examines whether a topic-specific Environmental, Social, and Governance (ESG) reporting framework for urban green could support the integration of ecosystem services into MNRM. The research is based on semi-structured interviews with representatives from 23 municipalities across Greece, exploring awareness of ESG concepts, views on accountability and stakeholder engagement, and perceptions of urban green as a managed natural resource. The findings indicate broad recognition of the multifunctional role of urban green and strong agreement on the value of systematic reporting and accountability. At the same time, municipalities identify the lack of an appropriate reporting framework as a key constraint, alongside organizational and staffing limitations. Drawing on stakeholder and impression management theory, the study shows the respondents support that urban green ESG reporting can function as a governance tool, enhancing transparency and stakeholder involvement. A municipal ESG reporting framework is perceived as a tool that could support operationalizing ESs within local governance structures, contributing to a more effective MNRM. Full article

Background: Metamizol (dipyrone) is a widely used analgesic and antipyretic drug in several European countries, particularly for postoperative pain management in both adult and pediatric populations. Methods: A narrative literature review was conducted to evaluate the efficacy, safety, and pharmacological mechanisms of metamizol in postoperative pain management. A comprehensive search of PubMed, Scopus, and the Cochrane Library was performed, and included articles published up to 2024. Search terms included metamizol, dipyrone and children. Results: The available evidence indicates that metamizol provides effective postoperative analgesia, with an efficacy comparable to that of other non-steroidal anti-inflammatory drugs and paracetamol. Pediatric studies similarly support its effectiveness in postoperative settings. Regarding safety, short-term use of metamizol appears to be well tolerated, with a low incidence of serious adverse events. Mechanistic studies suggest that metamizol exerts analgesic effects through a multimodal pathway, involving not only cyclo-oxygenase inhibition but also modulation of opioid and endocannabinoid systems. Conclusions: Metamizol represents an effective and generally well-tolerated option for short-term postoperative pain management in both adults and children when used under appropriate clinical monitoring. Current evidence supports a favorable benefit-to-risk balance for short-term use while highlighting the need for caution during prolonged therapy. Further large-scale, prospective studies are warranted to better define rare adverse events, clarify interindividual risk factors, and refine the understanding of their non-classical mechanisms of action. Full article

Understanding landform evolution is essential for assessing how terrain responds to geomorphic drivers such as weathering, fluvial erosion, hillslope processes, and tectonic uplift. This is particularly important in applications such as constructed post-mining landform rehabilitation, where predicting long-term erosional stability is vital for sustainable closure planning. In addition to long-term average erosion rates, the spatial patterns of gullies, rills, and channels are critical for assessing landform stability. This review examines Digital Elevation Model (DEM)—driven, process-based Landform Evolution Models (LEMs), with a primary focus on SIBERIA, CAESAR-Lisflood, and SSSPAM, which are widely used to evaluate the erosional behaviour of constructed post-mining landforms, each with distinct characteristics. These models are systematically compared in terms of input requirements, process representations, parameterisation, and predictive capabilities. Recent advances in high-spatial resolution DEMs (e.g., LiDAR, SRTM), along with digital soil and rainfall databases and satellite-derived vegetation indices, have improved the parameterisation of erosion, hydrological, and sediment-transport processes of the LEMs. A brief comparative case study is presented to demonstrate how these LEMs simulate 1000-year erosional behaviour along a linear hillslope. This review synthesises the current capabilities and limitations of DEM-driven LEMs, providing guidance for researchers, land managers, and practitioners in selecting appropriate models to support sustainable post-mining landform management, as well as outlining potential future advancements. Full article

Placental abruption (PA) without vaginal bleeding is known to be associated with severe outcomes when compared to symptomatic cases; the presence of hypertensive disorders of pregnancy (HDP) is an additional negative prognostic factor. According to guidelines, severe HDP are indications for prompt delivery after maternal–fetal stabilization. Considering gestational age, parity and clinical obstetric examination, the induction of labor should be prioritized to avoid additional risks associated with cesarean section. However, since only a minority of cases of PA may be detected by ultrasonography (US), findings consistent with this suspicion should contribute to the establishment of an appropriate mode of delivery. We present two cases affected by severe HDP, eclampsia and HELLP syndrome, admitted to St. Luke Catholic Hospital, Wolisso, Ethiopia. In both cases, obstetric point-of-care (POC) US revealed a live premature fetus and a solid heterogeneous placental mass, raising the suspicion of concealed placental abruption. To expedite delivery, cesarean section was promptly offered. PA was confirmed in both cases; the first had stillbirth and postpartum hemorrhage, while the second ended up with healthy mother and newborn. In conclusion, POC-US imaging could play a role in optimizing delivery mode and timing for patients with HDP in low-resourced settings. Additional research is warranted to determine the impact of this technique in the management of obstetric emergencies. Full article

Background: The emergence of artificial intelligence (AI) has triggered a global transformation, with the healthcare sector experiencing significant disruption and innovation. In current public health practice, AI is being deployed to power various aspects of public functions, including the assessment and monitoring of health, surveillance and disease control, health promotion and education, policy development and planning, health protection and regulation, prevention services, workforce development, community engagement and partnerships, emergency preparedness and response, and evaluation and research. Nevertheless, its use in leadership and management, such as in change management, process development and integration, problem solving, and decision-making, is still evolving. Aim: This study proposes the adoption of the Public Health AI Framework to ensure that inclusive data are used in AI development, the right policies are deployed, and appropriate partnerships are developed, with human-relevant resources trained to maximize AI potential. Implications: AI holds immense potential to reshape public health by enabling personalized interventions, democratizing access to actionable data, supporting rapid and effective crisis response, advancing equity in health outcomes, promoting ethical and participatory public health practices, and strengthening environmental health and climate resilience. Achieving this goal will require a deliberate and proactive leadership vision, where public health leaders move beyond passive adoption to collaborate with AI specialists to co-create, co-design, co-develop, and co-deploy tools and resources tailored to the unique needs of public health practice. Call to action: Public health professionals can co-innovate in shaping AI evolution to ensure equitable, ethical, and value-based public health. Full article

Background/Objectives: Melanoma remains one of the most malignant types of skin cancer with rising incidence numbers, despite the progress made in the prevention and management of the disease. Recent technological advancements, such as developments in the field of molecular biology, imaging, and artificial intelligence (AI), have led to a paradigm shift in the diagnosis, assessment, and management of melanoma. The current review aims to integrate current research on melanoma, moving beyond the boundaries of conventional histological analysis. Methods: This is a critical appraisal narrative review that focuses on recent studies in the areas of translation research and digital health with regard to melanoma. This research particularly targeted recent studies within the last five years, with landmark studies implicated when appropriate. Evidence was synthesized within the major categories that include epidemiology, early diagnosis, histopathology, predictive biomarkers, genetic/epigenetic changes, AI-assisted diagnostic platforms, and novel therapeutic platforms & targets. Results: Early detection techniques, innovative imaging, and biomarker-guided risk adjustment can improve diagnostic accuracy and prognostic stratification. The potential of AI in dermoscopy, digital pathology, and decision analytical systems is evident, although validation, bias, and integration issues need to be addressed. Advances in immunotherapy, targeted therapies, and novel molecular/immunological targets are expanding and facilitating integrated and personalized management. Conclusions: There is a trend in melanoma research to shift towards an integrated diagnostic platform that involves the use of AI, molecular characterization, and clinical inputs to enable more accurate and personalized diagnoses. To realize this potential, there is a need to validate, collaborate, and address ethics and implementation. Full article

Humans tend to mark their presence and thus their lands by naming charismatic places such as mountains, canyons, rivers, and lakes. Toponyms is the term for marking places with names. In doing so, cultural groups claim the lands and the recognition of their presence through names in their language and behaviors reflecting their culture. When other cultures occupy these lands, they similarly mark them with their own place names, thus replacing earlier names and evidence of occupation. A conflict of toponyms occurs when one cultural group uses their power to maintain a superior attachment to the land. This chapter uses six toponym ethnographic studies to understand the origins of debates between Native American and settler colonial peoples in North American. Research findings from these studies define both the importance of toponyms to cultural groups and possible resolution of heritage conflicts. All studies have been reviewed and approved for public use for place interpretations, visitor education, and culturally appropriate management by funding agencies and participating Native American tribes and Pueblos. Full article