Cost-effectiveness Benefits Research Articles

A Review on Fish Oil Extraction from Fish by-Product as Sustainable Practices and Resource Utilization in the Fish Processing Industry

The fish processing industry generates significant by-products, such as viscera, skin, bones, and heads, which are valuable for producing food, medicinal products, energy, and industrial feedstock. Fish oil, rich in omega-3 polyunsaturated fatty acids like eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), is widely used in nutritional supplements and other applications. Among these by-products, fish viscera contain the highest concentration of oil, making them an ideal target for extraction due to their cost-effectiveness and environmental benefits. Extracting oil from fish by-product helps reduce environmental pollution and promotes sustainable practices by fully utilizing fish resources. This holistic approach contributes to waste reduction and resource efficiency in the fish processing industry. By incorporating sustainable principles into extraction processes - such as using environmentally friendly solvents, implementing efficient solvent recovery systems, and ensuring compliance with environmental regulations - companies can enhance the sustainability of their operations while extracting valuable components. As demand for fish-based food products rises, effective extraction of fish oil and fishmeal from by-products becomes increasingly important. Various extraction methods, including physical, chemical, and biological approaches, are essential for separating solids, oil, and water to recover valuable components like EPA and DHA. Optimizing these processes and combining different methods can achieve high concentrations of polyunsaturated fatty acids (PUFAs) in fish oil, ranging from 65% to 80%. Emphasizing maximum PUFA content highlights the potential to enhance the quality and nutritional value of fish oil extracted from by-products while advancing sustainability in the fish processing industry.

P0958 Curcumin-QingDai combination for active ulcerative colitis: A cost-effectiveness analysis

Abstract Background A combination of two herbal compounds, curcumin and QingDai (CurQD), was recently proposed as an effective treatment for patients with active ulcerative colitis (UC) based on randomized controlled and real-world evidence, but no cost-effectiveness analysis for this nutraceutical is currently available Methods A Markov model was generated to simulate the progression of patients with moderate-to-severe UC, by separate analysis for a cohort of advanced therapy-naïve and advanced therapy-experienced patients. Medications costs were derived from published average wholesale price (AWP) in the US. Efficacy data was modeled by synthesis of efficacy reports of randomized placebo-controlled trials and real-world cohort studies of all FDA-approved drugs for UC, and each compared with CurQD. The model used a time horizon of 54 weeks. The threshold of 50,000$/quality adjusted life-year (QALY) was chosen, and a one-way sensitivity analysis was performed for testing analysis robustness. Results The comparison of CurQD with the FDA approved advanced therapies for UC yielded an estimated incremental cost-effectiveness ratio (ICER) of over 200,000$/QALY for all comparisons. Differences ranged from -0.05 to a slight gain of 0.07 QALY in bio-experienced patients and from -0.1 to 0.04 QALY in bio-naïve patients. The one- way sensitivity analysis proved the robustness of the analysis. Conclusion The present analysis suggests that the markedly reduced cost and demonstrated efficacy of CurQD provides a significant cost-effectiveness benefit over advanced therapies for active UC, including over anti-TNF biosimilars.

Gtfswizard: a set of tools for exploring and manipulating general transit feed specification in R language

The public transport system is fundamental to sustainable urban mobility, offering cost-effectiveness, scalability, and environmental benefits while addressing equity challenges. This study identifies a research gap in existing tools for General Transit Feed Specification (GTFS) data analysis, which often lack integration, usability, and flexibility for comprehensive transit planning. In response, GTFSwizard is developed, a R package that facilitates exploration, and manipulation of GTFS feeds. To demonstrate its potential, a case study in Fortaleza, Brazil, evaluates interventions designed to enhance accessibility equity. The interventions, which include bus corridors, optimized boarding, and increased frequency, were tested exclusively using GTFSwizard, which, with simple functions, allowed the analysis and modification of GTFS data as well as the estimation of accessibility. Results showed an 18% reduction in the number of individuals under critical accessibility levels, a reduction in accessibility inequity, and operational efficiency gains, including a 2.7% reduction in required fleet size and a slightly increase of 0.35% in vehicle-kilometer traveled. The ease with which the scenarios are generated highlights the package's ability to perform GTFS analysis and manipulation in a simple and unified manner.

A 15 YEAR PERFORMANCE AND EVALUATION OF CRCP EXPERIMENTAL ROAD

This study presents a comprehensive 15-year evaluation of the Continuously Reinforced Concrete Pavement (CRCP) implemented in the Nakayama Bypass on National Highway Route 112. Spearheaded by a collaborative effort from The Nippon Road Co., Ltd., the Tohoku Regional Construction Bureau, Road Management Technology Center, Tohoku Branch, and Rainbow Consultants Co., Ltd., the research aims to assess the long-term performance, durability, and maintenance requirements of CRCP under various traffic and environmental conditions. The methodology encompasses detailed inspections and performance analyses, including pavement condition surveys, crack mapping, deflection measurements, and structural integrity assessments. This longitudinal study also integrates advanced evaluation techniques to understand the CRCP's behavior over its service life, focusing on crack propagation, load transfer efficiency, and overall pavement stability. Results indicate that CRCP, with its design and construction innovations, exhibits superior durability and performance compared to traditional pavement types. Notably, the CRCP section demonstrated remarkable resistance to traffic-induced stresses and environmental impacts, showcasing minimal maintenance needs over the 15-year period. The study also highlights the importance of initial quality control and precise construction practices as key factors contributing to the pavement's longevity and reduced lifecycle costs. Conclusively, the findings advocate for the broader adoption of CRCP in road infrastructure, emphasizing its cost-effectiveness and sustainability benefits. This research contributes valuable insights into pavement engineering, offering a robust evidence base for future CRCP projects and innovations in pavement technology. (Abstract generated by AI tool ChatGPT 4)

DESIGN AND OPTIMIZATION OF SOLAR PARKING CANOPY AS A PART OF ENERGY EFFICIENT URBAN PLANNING

This paper proposes the optimal use of available space on canopies of parking spaces in urban areas for the installation of low and medium power photovoltaic systems and electricity production. Simulations show that a PV1 system offers a return on investment of 187% with a payback period of 5.6 years, while a PV2 system achieves an ROI of 91.9% with an 8.4-year payback. These findings emphasize the cost-effectiveness and environmental benefits of solar parking canopies in urban planning. The obtained electricity could be used to power nearby residential and business premises or electric car chargers. Also, there is a possibility of direct injection of produced electricity into the distribution network. Two configurations of the photovoltaic system at a specific location were analyzed in order to find the optimal solution in terms of the relationship between the price of the system, the electricity produced and the time required to return the investment. The program PVsyst was used for the design and optimization of photovoltaic systems. The obtained simulation results for both proposed photovoltaic systems are presented and compared.

Optimizing Oil-Contaminated Wastewater Purification with Polypropylene Thread Waste

AbstractThe increasing generation of oil-containing wastewater poses significant environmental challenges, necessitating the development of effective and sustainable filtration materials. Polypropylene thread scraps, a waste product from textile manufacturing, present a potential low-cost alternative to industrially produced polypropylene fibrous filters. This study evaluates the filtration properties of these scraps to determine their viability for oil product removal from wastewater. The polypropylene thread scraps exhibited promising physical characteristics: a fiber diameter range of 10–120 μm, bulk density between 100 and 200 kg/m3, total porosity of 78–89%, and a specific surface area of 75 m2/kg. Their hydrophobic nature is comparable to that of commercial polypropylene filter materials. Experimental studies demonstrated that the thread scraps could effectively remove oil products at a 70% efficiency, with a maximum specific wastewater volume of 8 L/g. The oil capacity for oil products was measured at 51.1 mg/g, which decreased to 36.2 mg/g after regeneration by washing with hot water at 70 °C. The optimal filtration parameters were identified as a material packing density of 65 kg/m3, filtration speed of 3.5 m/h, and a loading height of 1.5 m, achieving removal efficiencies of 82.0% for oil products and 91.5% for suspended solids. Polypropylene thread scraps demonstrate significant potential as a sustainable filtration material for oil-containing wastewater, offering comparable performance to industrial filters. Their ability to be regenerated and reused further enhances their cost-effectiveness and environmental benefits. This research supports the use of polypropylene thread scraps as a viable solution for wastewater treatment, contributing to waste reduction and improved environmental management. Graphical abstract

Microarray integrated spatial transcriptomics (MIST) for affordable and robust digital pathology

10X Visium, a popular Spatial transcriptomics (ST) method, faces limited adoption due to its high cost and restricted sample usage per slide. To address these issues, we propose Microarray Integrated Spatial Transcriptomics (MIST), combining conventional tissue microarray (TMA) with Visium, using laser-cutting and 3D printing to enhance slide throughput. Our design facilitates independent replication and customization in individual labs to suit specific experimental needs. We provide a step-by-step guide from designing TMAs to the library preparation step. We demonstrate MIST’s cost-effectiveness and technical benefits over Visium and GeoMx Nanostring. We also introduce ‘AnnotateMap’, a novel computational tool for efficient analysis of multiple ROIs processed through MIST.

Carbon emission reduction effects of heterogeneous car travelers under green travel incentive strategies

Encouraging car travelers to switch to public transport is an effective measure to alleviate urban traffic congestion and reduce traffic carbon emissions. This study integrates travel survey data with multi-dimensional individual travel data to focus on incentive strategies. The research identifies key target groups for green travel incentives and quantifies the carbon reduction potential and cost-benefit effectiveness of differentiated incentive strategies for heterogeneous car users. Using Nanjing as a case study, the results show that low-income groups, long-distance commuters, and those with lower car dependency are primary targets users for these incentives. The optimal periods for implementing these strategies are during morning and evening peak commuting times. There is a positive correlation between overall carbon reduction and incentive levels. With a green travel incentive of 0.5 yuan per trip, the target group’s carbon emissions from travel decreased by 27.3%. The highest cost-effectiveness was observed with a 0.1 yuan per trip incentive, resulting in a reduction of approximately 280 yuan per ton of carbon. This study provides crucial insights for designing effective green incentive strategies, enhancing both cost-efficiency and carbon reduction in urban transport.

Simulating A/B testing versus SMART designs for LLM-driven patient engagement to close preventive care gaps

Population health initiatives often rely on cold outreach to close gaps in preventive care, such as overdue screenings or immunizations. Tailoring messages to diverse patient populations remains challenging, as traditional A/B testing requires large sample sizes to test only two alternative messages. With increasing availability of large language models (LLMs), programs can utilize tiered testing among both LLM and manual human agents, presenting the dilemma of identifying which patients need different levels of human support to cost-effectively engage large populations. Using microsimulations, we compared both the statistical power and false positive rates of A/B testing and Sequential Multiple Assignment Randomized Trials (SMART) for developing personalized communications across multiple effect sizes and sample sizes. SMART showed better cost-effectiveness and net benefit across all scenarios, but superior power for detecting heterogeneous treatment effects (HTEs) only in later randomization stages, when populations were more homogeneous and subtle differences drove engagement differences.

A Review of Advances in Heterostructured Catalysts for Li-S Batteries: Structural Design and Mechanism Analysis.

Lithium-sulfur (Li-S) batteries, acclaimed for their high energy density, cost-effectiveness, and environmental benefits, are widely considered as a leading candidate for the next-generation energy storage systems. However, their commercialization is impeded by critical challenges, such as the shuttle effect of lithium polysulfides and sluggish reaction kinetics. These issues can be effectively mitigated through the design of heterojunction catalysts. Despite the remarkable advancements in this field, a comprehensive elucidation of the underlying mechanisms and structure-performance relationships of heterojunction catalysts in sulfur electrocatalysis systems remains conspicuously absent. Here, it is expounded upon the mechanisms underlying heterostructure engineering in Li-S batteries and the latest advancements in heterostructure catalysts guided by these multifarious mechanisms are examined. Furthermore, it illuminates groundbreaking paradigms in heterostructure design, encompassing the realms of composition, structure, function, and application. Finally, the research trends and future development directions for the novel heterojunction materials are extensively deliberated. This study not only provides a comprehensive and profound understanding of heterostructure catalysts in Li-S batteries but also facilitates the exploration of new electrocatalyst systems.

Tannic acid reduced the growth performance, antioxidant, and immune functions of the Nile tilapia (Oreochromis niloticus)

The Nile tilapia (Oreochromis niloticus) is highly regarded for its delicious taste and abundant nutritional value. With the growing demand for sustainable aquaculture, plant proteins have become crucial in fish feeds due to their cost-effectiveness and environmental benefits. Proteins such as soy protein, rapeseed meal, and faba bean protein have partially replaced traditional animal-derived proteins. However, these plant proteins often contain significant amounts of antinutritional factors, such as tannic acid (TA), and the effects of high doses on Nile tilapia remain not fully understood. The objective of this 60-day experiment was to evaluate how varying levels of TA affect the growth performance, intestinal structure, physiological indices, and immune functions of Nile tilapia. Five groups were designed for this experiment: TA0 (0 g/kg), TA1 (5 g/kg), TA2 (10 g/kg), TA3 (15 g/kg), and TA4 (20 g/kg). The results of the study showed that the body weight of Nile tilapia in the other TA groups was significantly lower compared to the TA0 groups (P < 0.05). The liver somatic index and viscerosomatic index of the TA0 group were significantly lower than those of the other TA groups (P < 0.05). Observations of intestine tissues indicated varying degrees of structural damage in the treatment groups. The muscle thickness of the TA0 was significantly greater than that of the TA4 group (P < 0.05). The villus width was significantly reduced in the TA3 and TA4 groups (P < 0.05), while the villus height in the TA0 group was significantly greater than that of the other groups (P < 0.05). Regarding physiological indicators, there were no notable variations in the levels of total antioxidant capacity and superoxide dismutase in the serum, liver, and intestine. However, catalase activity was significantly reduced in serum and liver (P < 0.05), with a decreasing trend in the levels of glucose-6-phosphate dehydrogenase observed in the serum, liver, and muscle tissues of the TA1, TA2, and TA3 groups. Also, the expression levels of Hsp70 and IL-1β were significantly upregulated in the liver, intestine, and muscle tissues of the treatment groups (P < 0.05). These results will help to clarify the effects of high concentrations of TA on Nile tilapia and provide valuable insights for selection of appropriate dosage of TA.

Enteric Tube Placement and Management: Tips for Interventional Radiologists

AbstractThere is a significant risk of malnutrition and aspiration among hospitalized patients, particularly the elderly, patients with head and neck malignancy, and those with a chronic debilitating disease. Enteral feeding is preferred over parenteral feeding for patients with functional gastrointestinal tracts but who have impaired swallowing due to its cost-effectiveness, lesser complications, and theoretical benefits such as preserving mucosal architecture and gut-associated lymphoid tissue. While nasogastric and nasojejunal tubes address short-term feeding needs, long-term enteral feeding tubes are crucial for patients requiring nutritional support beyond 4 weeks. Enteric tube placement can be performed surgically, endoscopically, or radiologically, with radiologically inserted gastrostomy emerging as a safe and effective method. This review article discusses various interventional radiological techniques for enteral feeding, including percutaneous gastrostomy, gastrojejunostomy, jejunostomy tube placement, and gastrointestinal tract decompression procedures like cecostomy. It covers procedural considerations, patient selection criteria, technical aspects, and outcomes, drawing on current evidence and clinical experience. The review also addresses emerging trends, advancements, and future directions in interventional radiology for enteral feeding and gastrointestinal tract decompression, aiming to contribute to the ongoing evolution of clinical practice and patient care. Key recommendations from international guidelines are summarized, emphasizing individualized risk assessment for optimal enteral feeding strategies.

Influence of silica and alumina nanoparticles on the wear and mechanical behavior of Indian almond fiber reinforced natural composites

Natural composites are valued for their lightweight, cost-effectiveness, and environmental benefits, but they often fall short in performance compared to conventional materials. To enhance their properties, nanoparticles are added. This study focused on natural composites made from Indian almond fiber, with alumina and silica nanoparticles incorporated. The scope of this research was to develop the Indian almond based materials as industry ready by enhancing its strength with nano-fillers. Four composites were created: C0 (Epoxy/Indian almond), C1 (Epoxy/Indian almond/Silica), C2 (Epoxy/Indian almond/Alumina), and C3 (Epoxy/Indian almond/Silica/Alumina), using a resin-to-fiber ratio of 70:30 and 3 wt% nanoparticles. The inclusion of nanoparticles improved composite performance, with C2 demonstrating superior mechanical and wear properties. Specifically, C2 achieved high tensile strength (84 MPa), flexural strength (122 MPa), impact strength (7.31 kJ/m2), and hardness (86 shore D), along with smallest wear and friction coefficient. HIGHLIGHTS Natural fiber based material was prepared by means of Indian almond fiber in addition to epoxy resin Silica and alumina nano-additives were added for further strengthening of composite Indian almond/Silica/Alumina composite’s functioning was investigated Indian almond/Alumina composite exhibited better tensile, flexural and impact strengths Indian almond/Alumina composite showed high hardness, slightest wear plus low friction coefficient

Estimation of soil organic carbon content using visible and near-infrared spectroscopy in the Red River Delta, Vietnam

Accurate estimation of Soil Organic Carbon (SOC) is vital for assessing soil fertility, health, and carbon sequestration. Visible and Near-Infrared (Vis-NIR) spectroscopy has gained popularity worldwide for SOC estimation due to its cost-effectiveness and environmental benefits. However, inconsistencies arise from varying preprocessing techniques and regression models applied across different datasets and regions. Few studies explore combinations of spectral preprocessing, modeling algorithms, and resampling techniques. This study presents the first SOC estimation using Vis-NIR spectroscopy in the Red River Delta, Vietnam. We assessed estimation performances incorporating fifteen preprocessing techniques, four regression models, and three resampling methods to identify the most effective strategies. Standard Normal Variate (SNV) emerged as the top preprocessing technique, while Partial Least Squares Regression (PLSR) demonstrated the highest accuracy with minimal discrepancies between calibration and validation. Regarding resampling methods, repeated cross-validation (repeatedcv) proved most robust, with simple cross-validation as an alternative. By utilizing SNV, PLSR, and repeatedcv, we achieved the first successful Vis-NIR spectroscopy-based SOC estimation in the Red River Delta and Vietnam. This approach satisfied stringent statistical criteria for predictive models, yielding validation performance metrics of R2 = 0.740, RMSE = 0.166, RPD = 2.337, and RPIQ = 2.321. Our findings highlight the importance of optimizing preprocessing, regression, and resampling techniques for accurate Vis-NIR spectroscopy-based SOC prediction.

Multi-objective optimal scheduling of electricity consumption in smart building based on resident classification

By the end of 2021, the urbanization rate of China had reached 64.72 %. Increasing urbanization rates have led to an 80 percent share of carbon emissions in urban areas. Therefore, a load optimal scheduling model of smart buildings is proposed in this paper, which takes into account the cost of carbon emissions. The model aims to minimize the electric cost for building residents and maximize the utilization of distributed energy. The research focuses on the load optimal scheduling for two types of residents, i.e., the working residents and the retired ones, based on their electricity usage patterns and habits. To address the challenges of uneven load distribution, nonlinear behavior, and uncertainties introduced by electric vehicles and photovoltaic energy, the multi-objective beluga whale optimization algorithm with hybrid reverse learning competitive strategies (RCMBWO) is introduced. It utilizes the energy storage and discharge capabilities of electric vehicles to mitigate the uncertainties of photovoltaic energy generation. The simulation results show that load optimal scheduling for both types of residents can lead to significant cost savings for a smart building with 100 households, approximately 29,554 RMB per year. Furthermore, the optimized results can guide the determination of the appropriate size for the photovoltaic energy storage system, reducing energy waste resulting from insufficient energy consumption capability of smart buildings. The research on targeted load optimal scheduling for classified residents presents a viable solution for enhancing the cost-effectiveness and environmental benefits of smart buildings.

Current Scenario and Global Perspective of Sustainable Algal Biofuel Production.

Industrialization and globalization have increased the demand for petroleum products that has increased a load on natural energy resources. The escalating fossil fuel utilization has resulted in surpassing the Earth's capacity to absorb greenhouse gases, necessitating the exploration of sustainable bioenergy alternatives to mitigate emissions. Biofuels, derived from algae, offer promising solutions to alleviate fossil fuel dependency. Algae, often regarded as third-generation biofuels, present numerous advantages owing to their high biomass production rates. While algae have been utilized for their bioactive compounds, their capability as biomass for the production of biofuel has gained traction among researchers. Various biofuels such as bio-hydrogen, bio-methane, bio-ethanol, bio-oil, and bio-butanol can be derived from algae through diverse processes like fermentation, photolysis, pyrolysis, and transesterification. Despite the enormous commercial potential of algae-derived biofuels, challenges such as high cultivation costs persist. However, leveraging the utilization of algae byproducts could improve economic viability of biofuel production. Moreover, algae derived biofuels offer environmental sustainability, cost-effectiveness, and waste reduction benefits, promising novel opportunities for a more sustainable energy future.

Sensitivity, Specificity, and Cost-Benefit Effect Between Primary Human Papillomavirus Testing, Primary Liquid-Based Cytology, and Co-Testing Algorithms for Cervical Lesions.

Cytology has long been a major screening method for cervical cancer prevention. Human papillomavirus (HPV) testing has recently been introduced for cervical cancer screening, and HPV tests become a major screening method in some countries. To seek the optimal strategy considering the cost-effectiveness for cervical cancer screening, we compared the performance of primary LBC, primary HPV test, and LBC plus HPV co-test in real practice. From March 2016 to June 2018, 3742 patients were included in this study. Liquid-based cytology (LBC), HPV test, and histopathological assessment were performed in 3727, 1063, and 508 cases, respectively. The sensitivity, specificity, and cost-benefit effects of primary HPV, primary LBC, and co-test algorithms were simulated for 317 cases with LBC, HPV, and histopathological results. On the LBC, 13.0% of the cases were diagnosed with atypical squamous cells of undetermined significance or higher grade lesions. In the HPV test, high-risk HPV was found in 43.5%, and 11.9% was positive for HPV type 16 or 18. Among the three simulated algorithms, the co-test demonstrated the best sensitivity (97.5%) and the lowest specificity (50.3%). The primary LBC demonstrated the best specificity (53.5%) and a slightly better sensitivity, compare with the primary HPV (95.1% vs. 93.8%). Using the primary LBC algorithm, 82.0% can be determined without additional HPV test, whereas 50.1% could be determined without additional LBC using the primary HPV algorithm. The primary LBC algorithm for uterine cervical cancer (UCC) screening is comparable to the primary HPV algorithm and has the best cost-benefit effect among the three algorithms.

Treatment of textile dyes with steel flakes via Fenton and Electro-Fenton processes: An experimental analysis

The textile production process is well recognised as one of the most water-intensive industries, with an estimated daily water consumption of several thousand cubic metres. The main objective of the study is to remove the colour and COD of three reactive dyes namely reactive blue, reactive yellow and reactive black by Fenton and Electro Fenton Process. In this research paper, new novel catalyst steel flakes have been employed as part of the Fenton and Electro-Fenton process, replacing the conventional Fenton and Electro-Fenton catalyst. Scanning Electron Microscope (SEM), Energy-Dispersive X-ray Analysis (EDAX), Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Thermo Gravimetric Analysis (TGA) was done to characterize the steel flakes. The pH, dye concentration, FeSO4 dosage and H2O2 dosage were studied. The maximum colour and Chemical Oxygen Demand (COD) removal in Fenton process was 98.47 % and 74 % respectively. In Electro Fenton Oxidation the maximum colour and COD removal was 99.65 % and 78 % respectively. The best colour and COD removal was observed by Fenton and Electro Fenton oxidation with optimum Fenton molar ratio of 50:1 and pH 3 in all three dyes. In the laboratory-scale feasibility tests on the Electro-Fenton process, the highest colour removal effectiveness was observed at catalyst dosages of 1 g/L, 132 mM H2O2, and pH 3. The novel modified heterogeneous Electro-Fenton approach presents a distinct cost-effectiveness benefit in comparison to both the conventional Electro-Fenton reaction and the Electro-Fenton reaction employing alternative iron sources.

A Comprehensive Review of the Impact of CO2 Emissions on Global Warming and the Potential Using Solar Energy Mitigation

Carbon dioxide (CO2) emissions are the principal cause of global warming, a serious environmental issue with far-reaching implications. This extensive assessment investigates the multidimensional influence of CO2 emissions on global warming, looking at both the scientific basis and the possibility for solar energy as a mitigation approach. The evaluation focuses on solar energy's ability to reduce CO2 emissions and combat global warming. It investigates the benefits of solar energy as a clean, renewable, and sustainable source of electricity. The evaluation assesses the current state and future prospects of solar technology, focusing on its cost-effectiveness, scalability, and environmental benefits. Furthermore, the assessment looks at the obstacles and potential connected with solar energy deployment. It emphasizes the importance of legislative assistance, infrastructural development, and technology developments to hasten the transition to solar energy. The evaluation also evaluates the possible synergies between solar energy and other renewable energy sources as part of a comprehensive approach to CO2 emissions reduction. Finally, the assessment highlights the critical necessity for a worldwide response to the climate catastrophe. It advocates for bold and collaborative efforts to cut CO2 emissions and transition to sustainable energy systems, with solar energy playing a critical role. The review is an invaluable resource for policymakers, scientists, and stakeholders interested in the impact of CO2 emissions on global warming and the possibilities of solar energy mitigation

Dental Identification System in Public Health: Innovations and Ethical Challenges: A Narrative Review.

Dental identification systems (DISs) encompass various techniques used for forensic identification, serving as alternatives or complements to genetic methods. Technologies such as microchip implants, prosthetic inscriptions, microSD cards, and identification plaques have been proposed to address limitations in comparative methods, offering streamlined processes for forensic experts. This study reviews current and potential DIS implementations, emphasizing cost-effectiveness and community benefits. Literature analysis from PubMed (2008-2024) yielded 17 relevant articles on implantable DISs, enabling direct subject identification via teeth or prostheses. The integration of DIS aims to enhance accuracy and speed in personal profiling and legal identification, promoting technology transfer in dentistry. It will be necessary to develop strict privacy regulations to protect patient data and establish ethical guidelines for their use. The study's aim is to highlight that the universal adoption of DISs could mitigate healthcare disputes and facilitate data exchange in clinical settings, which is particularly beneficial for vulnerable populations.