Data Base Research Articles

Procedural Volume and Outcomes After Septal Reduction Therapies in Hypertrophic Obstructive Cardiomyopathy.

Septal myectomy and alcohol septal ablation (ASA) are septal reduction therapies for patients with symptomatic obstructive hypertrophic cardiomyopathy. Operator and hospital volume may influence outcomes, but contemporary data on this relationship are limited. This retrospective cohort study used data from the Vizient Clinical Data Base (2016-2022). Patients with undergoing septal myectomy and ASA were identified using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and stratified into low-, medium-, and high-volume groups based on annualized operator and hospital volumes. The outcomes were 30-day in-hospital mortality and 90-day readmission, analyzed using multivariable adjusted logistic and Cox models. Among 5725 patients with hypertrophic cardiomyopathy (3990 septal myectomy; 1735 ASA), most operators and hospitals performed <10 procedures annually. For septal myectomy, low-volume operators were associated with higher odds of 30-day mortality (adjusted odds ratio [aOR], 1.86 [95% CI, 1.11-3.15]) and greater risk for 90-day readmission (aOR, 1.51 [95% CI, 1.22-1.88]), and medium-volume operators had higher odds of 30-day mortality (aOR, 1.93 [95% CI, 1.05-3.55]). Medium-volume hospitals had higher 30-day mortality (aOR, 2.29 [95% CI, 1.32-3.99]), with low-volume hospitals showing greater risk for 90-day readmission (aOR, 1.60 [95% CI, 1.14-2.23]). For ASA, low- and medium-volume operators had increased 30-day mortality (aOR, 2.99 [95% CI, 1.15-7.75] and aOR, 3.86 [95% CI, 1.30-11.46]), but the risk of 90-day readmission was similar. Hospital volumes did not significantly impact outcomes for ASA. Low operator and hospital volumes were associated with worse outcomes for septal reduction therapies, emphasizing the need to refer patients with hypertrophic cardiomyopathy to high-volume centers with experienced operators.

Research on Deriving a Proportional System of a Roof Structure Through the Analysis of Hanok Architectural Design Methods

Hanoks are structures that have been built with unique techniques and styles since prehistoric times. Demand for hanoks is growing because they are recognized as climate-friendly buildings that make use of the natural environment as it is. However, there are a lack of standardized records concerning the methods or standards for constructing hanoks, so inferring them through the dimensional analysis of existing buildings is challenging. The roof of a hanok is its most beautiful part, and its proportions change the appearance of the hanok. Relying on existing examples or inherited figures when designing hanoks has led to the formation of uniform hanoks and the loss of their identity due to the lack of proportional standards. This study aimed to derive a proportional roof structure system by analyzing hanok architectural design methods. The employed method allowed for an analysis of the types of roofs and eaves of hanoks and extracted all the roof-related factors, such as the eave overhang, eave angle, roof angle, and hanok height. These data were compared with each other to find regularities and derive a final proportional system for a hanok roof structure. The analysis showed that the eave-height-to-roof-height ratio is 5.5:4.5, and notably, the sum of the eave and roof angles is in the range of 118°~120°, which means that the lower the eave angle, the higher the roof angle. Therefore, the roof structure of a hanok should not be designed based on a partial average value; rather, it should be based on a mutual proportional system considering the eave angle, roof angle, hanok height, and eave height. The results of this study can provide designers with a basis for creating hanoks through the use of the proportional system of roofs. This data basis guarantees continuity between the past and the present, and the proposed system can serve as a guide for hanok roof design and structural analysis.

Teaching principles of macroeconomics after COVID-19

The COVID-19 pandemic uniquely affected nearly all the subject matter in a typical principles of macroeconomics class. Fluctuations in the basic macroeconomic data in the COVID era were staggering and offer new teaching opportunities. In addition, because the recession was primarily driven by supply side shocks, the entire episode offers a unique avenue to present the theoretical models of the macroeconomy. Finally, new fiscal and monetary policy responses crafted over the past two recessions need to be fully incorporated into the material of macro principles going forward.

Healthcare Costs of Hospitalizations Due to Aspergillosis and 25-Year Trends in Spain, 1997–2021

In the last 40 years, a significant increase in the incidence of lung infections by Aspergillus has been reported. The scarcity of studies that describe the costs of aspergillosis indicates that the economic impact of aspergillosis in the hospital environment is greater than that of other fungal infections. The objective of the study was to evaluate the direct healthcare costs associated with aspergillosis in the Spanish National Health System from 1997 to 2021. A retrospective nationwide longitudinal descriptive study was designed to review hospital records from the Minimum Basic Data Set of patients admitted to hospitals of the National Health System from 1997 to 2021, with a diagnosis of aspergillosis. A total of 44,586 patients were admitted for aspergillosis in the Spanish National Health System. There was a progressive increase in the average annual cost from 1997 to 2012, which reached a maximum peak, EUR 1,395,154.21 (±2,155,192.87). It decreased between 2014 and 2019, but increased again in 2020 and 2021, EUR 28,675.79 (±30,384.12). The Pearson correlation coefficient revealed a weak negative correlation between age and hospital costs and a moderate positive correlation between average length of stay and hospital costs. Our data show that the economic impact of hospitalizations for aspergillosis is significant and increasing at a rate proportionally higher than that of other prevalent diseases. Costs related to Aspergillus infection are associated mainly with respiratory diseases. The results of this economic evaluation may be useful for health authorities to develop a future economic strategy for managing this fungal infection.

ExoMol line lists – LXII. Ro-vibrational energy levels and line strengths for the propadienediylidene (C3) in its ground electronic state

ABSTRACT Improved opacities are needed for modelling the atmospheres and evolution of cool carbon-rich stars and extra-solar planets; in particular, contributions made by the astrophysically important propadienediylidene (${\mathrm{C}}_{3}$) molecule need, at a minimum, to be determined using a line list which includes all significant transitions in the energy range of interest. We report variational calculations giving ro-vibrational energy levels and corresponding line strengths for $^{12}{\mathrm{C}}_3$, $^{12}{\mathrm{C}}^{13}{\mathrm{C}}^{12}{\mathrm{C}}$, and $^{12}{\mathrm{C}}^{12}{\mathrm{C}}^{13}{\mathrm{C}}$. In the $^{12}{\mathrm{C}}_3$ case, we obtain 2166 503 ro-vibrational state energies $\leqslant$2000 cm−1 for the electronic $\tilde{X}{\, }^{1}{\Sigma _{\rm g}}^{+}$ ground state. Comparison with experiment indicates a maximum error of $\pm 0.03$ ${\rm cm}^{-1}$ in calculated positions of lines involving an upper state energy $\lessapprox$4000 cm−1. For lines with upper state energies $\gtrapprox$4000 cm−1 to have comparable line-position accuracies, conical intersections would need to be accounted for in an adopted potential energy surface. Line lists and associated opacities are provided in the ExoMol data base (http://www.exomol.com).

Horticultural and Ecological Assessment of Public Gardens and Parks at Benghazi City during Last Five Decades

Gardens and parks play significant and major role from ecological and environmental point of view. The presence of trees, plants and greenery in public gardens and resorts helps to cool the surrounding environment, reduce air pollution and improve air quality. They can also support pollinators and wild life like bees, butter flies and birds by providing a diverse range of flowering plants and habitats for urban wildlife. Despite of the ornamental plants were very limited, and the workers and specialists in this field were very rare, the municipality of Benghazi tried to provide the horticultural structures like plant nurseries, training programs and investing in employees and providing opportunities for their development. During years from 1990 to 2023, the number of gardens and parks was jumped to more than 127. Recently, more horticultural care was noticed not only in the governmental sector but also in the private one while the number of ornamental nurseries increased, private agricultural companies established, and more plants were imported and introduced to the city. Because of lack of information, we tried to analyzed and assayed the gardens and parks situation from horticultural and ecological point of view at Benghazi city from 1973 to the present using available information with focusing on the development of this sector to provide more data base for the authorities, interests and researchers.

Active Fault Interpretation in the Northern Segment of the Red River Fault Based on Multisource Remote Sensing Data

High-resolution topographic and geomorphic data are important basic data for the study of active structures. Here, multisource remote sensing data were used to reinterpret the active faults in the northern segment of the Red River Fault (China). First, we obtained airborne light detection and ranging (LiDAR) data, high-resolution GaoFen-7 (GF-7) remote sensing image data, and historical aerial photographs, and a high-resolution digital elevation model (DEM) was generated based on the airborne LiDAR data and GF-7 data. According to the remote sensing interpretation, the main active faults were identified. We subsequently verified the faults in the field and constrained the geographic locations. The current activity was confirmed to be dominantly normal faulting, with some dextral strike-slip components, and the latest active age was the Late Holocene. It reflects the coordination of structural deformation between the rotation of the secondary block and the sliding of the boundary fault within the Sichuan–Yunnan Block. The results show that airborne LiDAR and GF-7 remote sensing data have a great application value in providing high-resolution topographic and geomorphologic data for the study of active structures. The comprehensive application of multisource remote sensing data can greatly improve the reliability of active fault interpretations and provide a reference for follow-up research within the study area.

Assessment of nurses’ compliance with Patients’ Rights in South Africa: A scoping review.

Abstract Background Compliance with Patients’ Rights by nurses is a crucial determinant of how well healthcare services are provided. Nurses are responsible for upholding Patients’ Rights because they spend so much time with patients. Therefore, it is essential to continuously assess nurses’ compliance with Patients’ Rights in healthcare institutions. Objectives To outline the breadth and type of existing research on nurses’ compliance with Patients’ Rights as well as to pinpoint any gaps in the body of existing knowledge. Methods A scoping review search was done in six electronic databases. For eligibility, articles written in English and focusing on nurses’ compliance with Patients’ Rights in South Africa were checked and evaluated. Data were taken from eligible study materials in order to compile, evaluate the quality, summarize, and create a narrative summary of the results. Results The literature collected was 1158 records from six data bases, after deleting 239 duplicates, 919 records remained. 891 records were excluded using title and abstract of the studies. 15 articles were included in the final analysis. Four articles were quantitative studies, 10 qualitative and one a mixed method. The included studies focused on six Patients’ Rights listed in the Patients’ Rights Charter which consist of 12 Patients’ Rights. Conclusion Nurses’ compliance with Patients’ Rights is inconsistent and there are limited studies on nurses’ compliance with all Patients’ Rights in SA. More studies are required in future, as seen by the included studies’ inconsistent findings.

Assessing the achievement of sustainable development in the Maghreb countries

Aim. Comparative analysis of the progress of achieving sustainable development by Maghreb countries (among them Libya, Tunisia, Algeria, Morocco, Mauritania) according to the indices developed by international organizations and scientific institutions, as well as ranking the countries according to the level of sustainable development in the region.Objectives. To analyze the regulatory framework governing sustainable development in the Maghreb countries; to assess the level of sustainable development of the countries under consideration according to international environmental, social and economic indices in 2018–2023; to apply a universal methodology for assessing sustainable development based on basic statistical data of each country; to identify common achievements and unique challenges faced by countries in the process of implementing sustainable development programs.Methods. The analysis is based on the comparison of statistical data, publications and reports of international organizations on the success of the implementation of sustainable development programs in the Maghreb countries. Comparative and analytical approaches to assessing the level of sustainable development were applied, and attention was paid to factors affecting successes and obstacles to achieving sustainable development.Results. Maghreb countries are at different levels of sustainable development. The article traces the differences in the countries’ strategies for implementing national sustainable development programs. The analysis of the level of sustainable development in Maghreb countries showed that Morocco has the highest position. Libya has the lowest level of sustainable development. The poverty rate in the region is decreasing, although in Libya, it remains high. Countries are showing progress in renewable energy development, with Morocco in particular implementing solar energy programs. Despite the successes, the countries face significant challenges. Inequality in access to resources and income, along with high unemployment, especially among youth, remains a pressing problem in the region. Political instability in Libya, non-cooperation between Morocco and Algeria hinder economic development and the realization of the Sustainable Development Goals.Conclusions. Regular monitoring of the level of sustainable development in the Maghreb countries, as well as timely adjustment of actions, serves as a necessary step to achieve prosperity and well-being in the region. Despite many challenges, Libya, Tunisia, Algeria, Morocco and Mauritania have great potential for sustainable development. However, realizing the Aim. requires considerable effort, political will and effective cooperation, both within the region and internationally. It is necessary to continue to invest in development, strengthen regional cooperation and utilize innovative technologies to achieve a sustainable future.

Analysis of Physiological Signals to Detect the Symptoms of Paralysis Disorder using Neural Network Approach: a Cohort Study

As per World Medical Associations, Paralysis attack is one of the leading causes of disorder in the human subjects after other chronic disorders such as Cancer and Heart Attack. Due to the attack of Paralysis, the body parts of human body become un responsive due to which the person may be physically disabled from hands or legs-based locomotion. There is scarcity in the methodologies who can early indicate the symptoms and alert the medical practitioners or human subject under surveillance. In this study, the health-related signals were studied and as per consultation of medical experts, total eight key parameters were identified and then based on that the output decision that weather person has symptoms of paralysis or not. The observatory data base has been prepared from more than 40,000 human subjects for the duration January 2018 to December 2023. As per categorical analysis based on training, validation and testing of three-layer Recurrent Neural Network, it has been observed that the ECG, Blood pressure, Heart Rate and PPG signals are key indicators to judge the susceptance of Paralysis disorder in the human subjects. Based on the evaluation parameters of machine learning models, the conjunction of response in association with selected input parameters gives 94% accuracy than other models. Our study helps research community to develop such methodologies by which the early indication of such disorders can be helpful to human health.

Effects of mechanical ventilation on neurodevelopment at 12 months in preterm low birth weight pediatric patients: a systematic review.

The objective of this review is to know the existing scientific evidence about the effects of mechanical ventilation (MV) on neurological development in low-birth-weight premature pediatric patients after 12 months of life, taking as background the direct impact that ventilation has on the central nervous system in the newborn during the first days of life. A systematic search was carried out between 2003 and 2024 in the data bases of: PUBMED, Cochrane Library Plus, PEDro, CINAHL, and SciELO, and two investigators scored the articles according to the Newcastle-Ottawa Assessment scale. Were found 129 non-replicated articles, and 10 cohort and cross-sectional studies were selected that performed an assessment of neurodevelopment in the three spheres after 12 months of life in corrected age of premature infants exposed to ventilator support and related the two variables independently. Mechanical ventilation is an independent neurodevelopmental risk factor in low-birth-weight preterm infants. The time of exposure and the type of ventilation were the variables with the most scientific evidence. https://www.crd.york.ac.uk/, Identifier CRD42023446797.

Meat productivity and meat quality of broiler chickens when input plant-based additive in compound feed

At present, the increase in poultry meat production is associated with the development of resource- saving technologies that ensure maximum productivity. However, the search for new methods to reduce the rearing period, increase live weight and reduce feed costs per 1 kg of gain continues. It should be noted that at the current stage of development, poultry farming has a high productivity potential, which is currently not fully utilized in some cases. The main reason is the inclusion of ingredients containing anti-nutritional substances in the compound feed. In compound feed for broiler chickens, the need to use biologically active additives has been proven. The inclusion of such additives in the composition of compound feed helps to increase the productive action, improve digestibility and effi ciency of using nutrients in diets. The purpose of the research was to study the meat productivity and meat quality of broiler chickens when input additive of plant-based additive in compound feed. On the base of research data, the eff ectiveness of including the plant-based feed additive Biostrong 510 in the compound feed for rearing of broiler chickens of the cross Cobb 500 in the amount of 0.010 %, 0.015 and 0.020 % of the compound feed weight was established. It made possible to increase the average daily live weight gain by 4.3–8.5 %, increase the gutted carcass weight by 4.3–4.6 %, reduce feed costs per 1 kg of broiler chicken gain by 0.07–0.13 kg, and increase the profi tability level by 0.78–1.44 abs.%. The safety of the tested additive was proven by a number of indicators. The obtained results of animal science, physiological and biochemical studies made it possible to identify the optimal dose of the plant feed additive Biostrong 510 for broiler chickens of the cross Cobb 500 in feeding technology 0.015 % of the mass of the compound feed.

ASEAN, and Indonesia’s Rising Influence In The Region

When one looks at the world map, Indonesia is not really visible in a very obvious manner, due to it being an archipelago, scattered over thousands of islands in South East Asia. However, when one reads into it, they realize that it is actually the fourth most populous country on earth, and holds quite a bit of diplomatic power as well. Indonesia is one of the founding members of ASEAN, the Association of South-East Asian Nations. ASEAN houses major natural resources, a huge chunk of Earth’s population, and together, the 10 ASEAN member states form one of the busiest trade routes in the world. To keep it simple, ASEAN is a really important organisation, and Indonesia, being one of the founding members, as well as the largest country in it, acts as the de-facto leader. Unfortunately, Indonesia is prone to many natural disasters due to its unfortunate geographic location, smack in the Pacific Ring of Fire. Recent major disasters have weakened Indonesia’s position, and many countries now do not consider Indonesia as the de-facto leader of ASEAN. This research focuses on Indonesia’s rise and fall as the undisputed leader of ASEAN, and what the future holds in store for Indonesia. To conduct this research, numerous research papers have been referred to and cited, as well as fresh information has been collected on a primary data basis. The primary data is collected by interviewing 15 Indonesian citizens, as well as senior officials at the Consulate General of Indonesia, Mumbai. Thus, the research presents the observations derived from interviewing two sides, the perspective of the Indonesian citizens, as well as the perspective of the Indonesian government. The research aims to answer some questions such as if Indonesia is prepared to tackle the current and future issues arising in ASEAN, being the leader. The research goes a step further to figure out if the Pacific Ring of Fire affects the geopolitics of Indonesia, and finally, the research looks at if the Indonesian government, and their people, the citizens look eye to eye? All of the interviews of the Indonesian citizens have been conducted virtually via Google Forms, and a meeting at the Consulate was set up in Mumbai to get the government’s perspective.

Introducing edge intelligence to smart meters via federated split learning

The ubiquitous smart meters are expected to be a central feature of future smart grids because they enable the collection of massive amounts of fine-grained consumption data to support demand-side flexibility. However, current smart meters are not smart enough. They can only perform basic data collection and communication functions and cannot carry out on-device intelligent data analytics due to hardware constraints in terms of memory, computation, and communication capacity. Moreover, privacy concerns have hindered the utilization of data from distributed smart meters. Here, we present an end-edge-cloud federated split learning framework to enable collaborative model training on resource-constrained smart meters with the assistance of edge and cloud servers in a resource-efficient and privacy-enhancing manner. The proposed method is validated on a hardware platform to conduct building and household load forecasting on smart meters that only have 192 KB of static random-access memory (SRAM). We show that the proposed method can reduce the memory footprint by 95.5%, the training time by 94.8%, and the communication burden by 50% under the distributed learning framework and can achieve comparable or superior forecasting accuracy to that of conventional methods trained on high-capacity servers.

Feasibility of Emergency Flood Traffic Road Damage Assessment by Integrating Remote Sensing Images and Social Media Information

In the context of global climate change, the frequency of sudden natural disasters is increasing. Assessing traffic road damage post-disaster is crucial for emergency decision-making and disaster management. Traditional ground observation methods for evaluating traffic road damage are limited by the timeliness and coverage of data updates. Relying solely on these methods does not adequately support rapid assessment and emergency management during extreme natural disasters. Social media, a major source of big data, can effectively address these limitations by providing more timely and comprehensive disaster information. Motivated by this, we utilized multi-source heterogeneous data to assess the damage to traffic roads under extreme conditions and established a new framework for evaluating traffic roads in cities prone to flood disasters caused by rainstorms. The approach involves several steps: First, the surface area affected by precipitation is extracted using a threshold method constrained by confidence intervals derived from microwave remote sensing images. Second, disaster information is collected from the Sina Weibo platform, where social media information is screened and cleaned. A quantification table for road traffic loss assessment was defined, and a social media disaster information classification model combining text convolutional neural networks and attention mechanisms (TextCNN-Attention disaster information classification) was proposed. Finally, traffic road information on social media is matched with basic geographic data, the classification of traffic road disaster risk levels is visualized, and the assessment of traffic road disaster levels is completed based on multi-source heterogeneous data. Using the “7.20” rainstorm event in Henan Province as an example, this research categorizes the disaster’s impact on traffic roads into five levels—particularly severe, severe, moderate, mild, and minimal—as derived from remote sensing image monitoring and social media information analysis. The evaluation framework for flood disaster traffic roads based on multi-source heterogeneous data provides important data support and methodological support for enhancing disaster management capabilities and systems.

Research on the Knowledge Structure and Sustainable Development Pathways of Artificial Intelligence from the Perspective of Technological Science

Achieving significant breakthroughs in both the fundamental theories and technological applications of artificial intelligence is essential for fostering its long-term development. Under the guidance of Professor Qian Xuesen’s theory of technological science, exploring the internal mechanisms of knowledge evolution in artificial intelligence holds profound theoretical and practical significance for promoting sustainable technological advancement. This study draws on literature from the Web of Science (WOS) database and employs methods such as knowledge mapping, natural language processing, clustering analysis, and citation analysis to outline the knowledge structure of the field, clarify the trajectory of sustainable development, and trace the technological genealogy of VR/AR technologies.This study divides the knowledge structure within the field of technological science into “basic theoretical knowledge—applied basic knowledge—applied knowledge”, enriching Qian’s theory of technological science from within and providing strong intellectual support and technological pathways for sustainable technological development in practice. Artificial intelligence encompasses 10 distinct knowledge domains, among which machine learning and deep learning constitute the basic theoretical knowledge, data intelligence, computer vision, and swarm intelligence are the applied basic knowledge, and image processing and human-computer intelligence are the applied knowledge. The development of VR/AR technology has formed two main sustainable development paths: “machine learning—data intelligence—intelligent systems—human computer intelligence”, and “deep learning—computer vision—image processing”.

Central Venous Catheter Use in Burn Patients: Complications and Preventive Measures

Summary: The use of a central venous catheter (CVC) is essential in the management of burn patients, especially due to the difficulty of venous access, the length of hospitalization, and the need for routine fluid replenishment and medication administration, particularly antibiotics. Aim of the study: The aim of this study is to identify the rate of complications associated with central venous catheters in the context of burn patients to discuss its indications and the benefit/risk ratio. Methods: This descriptive retrospective study was conducted in the Plastic Surgery Department of CHU Mohamed VI in Marrakech, involving patients who received a central venous catheter during their admission to the burn unit from March 2023 to March 2024. Data collection included basic demographic data, comorbidities, burn mechanism, burn depth, percentage of burned body surface area (BSA), central catheter location (subclavian, femoral, jugular), the site (healthy/burned), the duration of catheter placement, complications (infection and venous thrombosis), detection of germs during culture, and the length of hospital stay. Results: Infection and venous thrombosis were identified as the most frequent complications of CVC use. Further research is needed to evaluate the role of regular CVC changes (every 10 to 15 days after insertion) in preventing infections and to establish a clear anticoagulation protocol for preventing deep vein thrombosis (DVT). Conclusion: While CVCs can be a valuable resource in the treatment of burn patients, they are associated with significant risks, some of which may be life-threatening. The duration of CVC placement should be minimized, and blood cultures (preferably from the CVC tip) should be systematically sent after 10 days or at the first suspicion of complications to reduce the incidence and severity of CVC-related infections.

Research on Geothermal Geology and Heat-Forming Conditions in the Tangyuan Fault Depression

In order to gain an in-depth understanding of the geothermal geological characteristics and heat-forming conditions in the Tangyuan fault-depression area, this paper has carried out a series of detailed geological works, including geological surveys and geophysical explorations. Through these works, combined with the results of systematic drilling, sampling tests, and dynamic monitoring, we have studied, analyzed, and compared the relevant data to achieve a comprehensive understanding of the geological characteristics in the Tangyuan fault-depression area. During the research process, we preliminarily determined the stratigraphic structure and geological structure in this area and clarified the characteristics of the main geothermal reservoir and its burial conditions. These findings provide basic data support for our understanding of the formation and distribution of geothermal resources. At the same time, we have carried out a systematic analysis of the basic geothermal geological parameters, laying the foundation for the future calculation and evaluation of geothermal resource reserves. Through the collation and analysis of these research results, this paper not only provides a scientific basis for the development of geothermal resources in the Tangyuan fault-depression area but also provides specific references for future development prospect plans. This series of work will lay a solid foundation for further development and utilization of geothermal resources and promote the sustainable development of the regional economy.

Investigating the link between coronary artery calcification and atrial fibrillation: A systematic review and meta-analysis.

Both coronary artery calcification (CAC) and atrial fibrillation (AF) are associated with common risk factors, such as age, hypertension, diabetes, and dyslipidemia. Investigating their association may provide insights into shared pathophysiological mechanisms and overlapping risk profiles. A systematically search was performed covering various data bases including PubMed, Scopus, ISI, and Google Scholar from January 2000 until December 2023 for English-published articles. We focused on observational studies-cohort, case-control, and cross-sectional-that involved adult participants (aged 18 and older) and provided data on the any association between CAC and AF. We excluded studies if the full text was unavailable, the publication was not in English, there was insufficient numerical data or relative risk information. All the included articles (n = 14), were observational studies (n = 5 case-control and n = 9 cohort). All of the included papers (100%), reported a link between CAC and higher rate of major adverse cardiovascular events such as stroke and mortality in AF patients. The overall prevalence of AF across 5 studies was estimated to be 9.00% (95% confidence intervals [CI]: 2.00, 16.00), and 60% of the AF population were male. The overall proportion of AF in individuals with a coronary artery calcification score (CACS) of 0 is relatively high at 0.48 (95% CI: 0.32, 0.64), followed by CACS (1-99) which was 0.22 (95% CI: 0.16, 0.28), CACS (100-399) which was 0.17 (95% CI: 0.07, 0.28), and CACS (≥ 400) as 0.14 (95% CI: 0.07, 0.22). It can be concluded that there is a robust and consistent association between CAC and AF. Our systematic review underscores the importance of considering CAC as a potential factor in assessing the risk of AF, while also recognizing the multifactorial nature of this relationship.

Biochar carbon removal from residues in Germany—assessment from environmental and economic perspectives

Abstract The topic of biochar carbon removal (BCR), which refers to the pyrolysis of biomass, is increasingly being discussed as a potential solution for the long-term removal of carbon dioxide from the atmosphere. However, BCR technology assessments in Germany, which are used as the basis for strategic decision-making, are often limited to woody biomass as an input material and are based on old data. Consequently, this study focuses on BCR from forest residues, straw and sewage sludge and assesses its contribution to negative emissions under current techno-economic framework conditions. Using life cycle assessment and annuity method, as well as complementary stakeholder engagement formats, the study provides a comprehensive analysis of BCR pathways in Germany based on an empirical, up-to-date data basis. The results highlight the environmental advantages of BCR, particularly in reducing greenhouse gas emissions compared to the conventional treatment of residues. The economic feasibility of BCR is uncertain, with profitability dependent on plant scale, biomass type and the integration of energy co-products. Stakeholder insights underscore the necessity for supportive policies and investment in BCR technology to enhance scalability. This interdisciplinary approach enriches the discourse on BCR’s role in achieving carbon neutrality and offers a robust data foundation for future evaluations.