Abstract Global crises exhibit common patterns and interlinkages, from which critical lessons can be learned. In particular, the ongoing COVID-19 pandemic offers an unprecedented moment for unearthing insights helpful for climate change response. This research aims to systematically identify, assess, and prioritize such relevant lessons. To this end, we adopted a Horizon Scanning (HS) approach to collect 553 related lessons from multiple sources, including reviewing 108 peer-reviewed journal articles and two surveys. A total of 372 respondents contributed and ranked relevant lessons, of which 31 experts across countries, sectors, and disciplines had ranked the same lessons ranked in the second survey. Adopting the HS approach was not only helpful to collect relevant lessons, but also effective in promoting the general public’s engagement in scientific research, which is essential to amplify its voice regarding two major crises that are directly affecting the lives and livelihoods of people. Results of this research indicate that both participant groups (experts and non-experts) perceived climate change to be more threatening than COVID-19. However, they expressed different areas of concern regarding the two crises. Among all thematic areas, “Research and innovation” and “Policy and governance” are of supreme importance for COVID-19 and climate change. This research provides invaluable information for actors who are at the frontline of fighting both crises.1. IntroductionWith millions of confirmed cases and deaths, the ongoing COVID-19 pandemic is an unprecedented global crisis in the recent history of humanity (Fan et al., 2020). The pandemic has triggered extraordinary social measures (Cole and Dodds, 2021; Hepburn et al., 2020) and heavily affected the global economy (Kumar and Ayedee, 2021) and imposed serious implications for CO2 emissions and the Paris Agreement on climate change (Shan et al., 2021). The implications of COVID-19 on climate change action are enormous, including putting on hold many climate actions (Loureiro and Alló, 2021). For instance, this includes postponing the 26th conference of parties (COP26) in Glasgow (United Kingdom), an important milestone for committing more ambitious Nationally Determined Contributions (NDCs), for one year due to the challenges of holding an inclusive and ambitious gathering of climate change actors. The outbreak of this pandemic seems to be related to several global problems, for instance, climate change, urbanization, and global travel (Barouki et al., 2021). Despite the fundamental differences between the COVID-19 pandemic and climate change (Manzanedo and Manning, 2020), there are interlinkages (e.g. both are global crises), shared patterns (e.g. serious implications on multiple sectors), and commonalities (e.g. multiple root causes and complex interactions) that are typical for the Anthropocene era (Fuentes et al., 2020; Heyd, 2021; Lancet, 2021). Both, COVID-19 and climate change have interferences with development, research, global cooperation, and resilience (Hepburn et al., 2020; Manzanedo and Manning, 2020). To combat the COVID-19 pandemic, global societies have witnessed massive changes in all life aspects, and governments committed to radical measures to control the spread of COVID-19 and reduce losses of lives (Baldwin and Lenton, 2020). On the other hand, the world has been experiencing climate change effects for decades (IPCC, 2021), yet few such drastic measures have been taken, reflecting the urgency of the climate emergency (Coates et al., 2020). This has raised numerous critical questions on comparable global efforts in fighting climate change (Salas et al., 2020), a threatening crisis that moved down the top global agenda because of the pressing urgency to deal with COVID-19 (Lancet, 2021).Delayed action on both climate change and COVID-19 is threatening. Therefore, policymakers and the global community concerned about such global crises must be able to make informed decisions, based on sound scientific findings (Baldwin and Lenton, 2020; Jin, 2020; Manzanedo and Manning, 2020). The current pandemic outbreak offers an exceptional window into a global crisis and provides invaluable insights and profound lessons into how this crisis may be addressed and which policy approaches are considered favorable(8). Reflecting from the COVID-19 pandemic, these lessons can be of political, social, economic, and policy nature, among others. Examples of such lessons that can be found in the literature stress the importance of global solidarity and international cooperation (Cole and Dodds, 2021; Klenert et al., 2020), emphasize how costly a delayed intervention can be (Fan et al., 2020; Fuentes et al., 2020; Heyd, 2021; Jin, 2020), underline the importance of crisis prevention (Cole and Dodds, 2021; Manzanedo and Manning, 2020), highlight how inequality can be exacerbated without timely action (Klenert et al., 2020; Salas et al., 2020), and draw attention to the centrality of research and innovation in facing new challenges (Ching and Kajino, 2020; Jin, 2020). The term lesson used in the current research, thus, refers to the insights that can be drawn from the COVID-19 pandemic and potentially applied to climate change policy making and implementation. Given the wide-spectrum of potential lessons, we are aiming mainly to provide policy-makers at different levels with up-to-date and evidence-based knowledge that can help in making the right decisions regarding climate change, reflecting from the ongoing COVID-19 pandemic.Although several previous studies have contributed to collecting and analyzing such lessons (Andrieu et al., 2021; Baldwin and Lenton, 2020; Botzen et al., 2021; El Zowalaty et al., 2020; Herrero and Thornton, 2020; Hochachka, 2020; Howarth et al., 2020; Kakderi et al., 2021; Manzanedo and Manning, 2020; Negev et al., 2021; Perkins et al., 2021; Prideaux et al., 2020; Ruiu et al., 2020; Salas, 2020; Sarkis et al., 2020; Sheehan and Fox, 2020), no systematic review of these lessons has been conducted. In addition, the number of collected lessons in these studies was limited and, in many cases, confined to limited thematic areas. Employing the Horizon Scanning (HS) approach enables a more comprehensive overview by expanding the information sources across regions, disciplines, and professions, which can be quite helpful to inform and support decision-making (Hines et al., 2019). Enlarging the information sources through the HS has the potential to allow investigating opportunities, threats signs, and outlooks of phenomena. Concerning the aim of the current research, it allows identifying important lessons that might be missed if a single source of information (e.g., literature) is used. As of the date of writing this paper, this is the first research with this scale to collect a magnitude of lessons from COVID-19 that addresses a wide spectrum of thematic areas from published literature, the public, and experts. Therefore, the ultimate goal is to gather, analyze, rank, and reflect on the most critical lessons that, if addressed, would advance climate change action. This research provides recent, useful information for successfully navigating the challenges of climate change reflecting from the ongoing COVID-19 pandemic.

The Children’s Oncology Group (COG) Rare Tumor committee includes the Infrequent Tumor and Retinoblastoma subcommittees, encompassing a wide range of extracranial solid tumors that don’t fall within another COG disease committee. Current therapeutic trial development focuses on nasopharyngeal carcinoma, adrenocortical carcinoma, pleuropulmonary blastoma, colorectal carcinoma, melanoma, and thyroid carcinoma. Given the rarity of these tumors, novel strategies and international collaborative efforts are necessary to advance research and improve outcomes.

Hydraulic servo control systems pose significant challenges for controller design due to their nonlinear, time-varying of parameters, inertial force, and susceptibility to external disturbances. Traditional PID control methods struggle to set optimal control parameters, necessitating new approaches. In this study, we construct an Expanded State Observer(ESO) to estimate the external disturbance and uncertainty of modeling, a BP neural network to adaptively adjust PID control parameters and an RBF neural network to identify input and output Jacobian information. Our simulations demonstrate superior disturbance rejection and accurate dynamic tracking capabilities, as well as robust stability under inaccurate hydraulic system parameters and models. By regarding the controlled object as an open-loop basic type, we offer a new, effective approach for adaptive control of these challenging systems.

Group A rotavirus (RVA) is considered an important cause of acute gastroenteritis (AGE) in all age groups, especially in children. We investigated the epidemiology of RVA in outpatients aged ≤16 years at the Children’s Hospital of Fudan University, Shanghai, China. In this study, 16.6% (246/1482) were infected with RVA. The detection rate of RVA was significantly higher in the year of 2021 (20.3%, 147/725) compared to the year of 2020 (14.5%, 77/531) and 2022 (9.7%, 22/226) ( p=0.000). RVA infection was prevalent in all seasons from 2020 to 2022, with a different monthly distribution observed in different years. Among 246 RVA-positive samples, 14 different RVA genotypes were detected with different frequencies. Overall, G9P[8] (45.5%, 112/246) was the most common RVA genotype, followed by G8P[8] (37.4%, 92/246) and G3P[8] (4.1%, 10/246). The prevalence of G/P combinations varied from 2020 to 2022. G9P[8] was the most circulating genotype in 2020 (68.2%, 15/22) and 2021 (57.8%, 85/147). However, G8P[8] (68.8%, 53/77) suddenly became the most prevalent genotype in 2022 after being first identified in 2020 and prevalent in 2021. The G8 strains detected in the study were all clustered to DS-1-like G8 strains with the closest genetic distance to strains circulating in Southeast Asia. Our study demonstrated the diversity of circulating RVA genotypes in Shanghai. The sudden emergence and high prevalence of unusual G8P[8] strains deserve more concern and indicate the need for continuous surveillance of RVA in children with AGE in the future to refine future vaccine strategy.

A crucial component of agricultural output is water, and its production can be reduced by shortage, which negatively affects food security. In an effort to address this developing issue, irrigation was employed as form of water management. Various irrigation methods were employed but there were various limitation to those methods such as soil and water erosion due to inability of soil moisture determination. This work focusses on the creation of an irrigation system based on the Internet of Things. The implementation was done using Arduino microcontroller programmed in C programming Language. The application’s data on soil moisture level, valve condition, and remote management of the smart irrigation system were all displayed using an Arduino microcontroller. In Nigeria, the smart irrigation system was tested on three different soil types: clay, loam, and sandy. Data including the moisture reading and irrigation time were acquired after inserting the moisture sensor probe into the soil sample. The average time taken to irrigate clay, loamy and sandy soil at 2kg, 5kg, 8kg and 10kg were 10.93s, 15s, 19.75s, 23.25s; 9.5s, 12.4s, 17s, 21.5s; 8.25s, 11.3s, 14.7s and 20.2s, respectively. This system helps in reducing soil erosion, as it monitors and reads soils moisture in real-time.

This letter presents a deadtime offset reduction (DOR) technique to reduce the offset and ripple at the output of the capacitively coupled chopper instrumentation amplifier (CCIA) for neural signal recording. DOR employs switches to discharge the offsets at main amplifier and DC servo loop, during the deadtime of the chopping clocks. The circuits are targeted at IC realization and designed in 0.18-μm CMOS technology. The proposed CCIA with DOR achieves an output offset reduction ratio of 52 dB and a ripple reduction ratio of 47 dB without any significant increasement of power, area, or noise overhead.

Multivariate time series data classification has a wide range of applications in reality. With rapid development of deep learning, convolutional networks are widely used in this task and have achieved the current best performance. However, due to high difficulty and cost of collecting this type of data, labeled data is still scarce. In some tasks, the model shows overfitting, resulting in relatively poor classification performance. In order to improve the classification effect under such situation, this paper proposes a novel classification method based on transfer learning - similar domain knowledge transfer (call SDKT for short). Firstly, we designed a multivariate time series domain distance calulation method (call MTSDDC for short), which helped selecting the source domain that are most similar to target domain; Secondly, we used ResNet as a pre-trained classifier, transfered the parameters of the similar domain network to the target domain network and continued to fine-tune the parameters. To verify our method, we conducted experiments on several public datasets. Our study has also shown that the transfer effect from the source domain to the target domain is highly negatively correlated with the distance between them, with an average pearson coefficient of -0.78. For the transfer of most similar source domain, compared to the ResNet model without transfer and the current best model, the average accuracy improvement on the datasets we used is 4.01% and 1.46% respectively.

To explore the effect of anxiety levels on attentional networks in high altitude migrants and to verify the mediating and moderating role of sleep quality and haemoglobin concentration(HGB). One hundred and forty high altitude transplants living on the plateau for two years were selected and anxiety levels were captured by the SCL-90 questionnaire, behavioural data by the ANT experimental procedure, sleep quality by the Pittsburgh Sleepiness Index and HGB by means of venous blood sampling. The results revealed a significant difference between the high and low anxiety groups in the attentional executive network and no difference in the alertness and orientation networks; a difference in sleep quality between the high and normal HGB groups.Sleep quality was fully mediated between anxiety level and attentional executive network, accounting for 45% of the total effect; sleep quality and HGB were moderated mediation between anxiety level and attentional executive network (β = 0.19, t = 2.03, p < 0.05), and only for individuals with high HGB did the sleep quality of individuals with high anxiety levels differ from that of individuals with low anxiety levels. It was only for individuals with high HGB that differences existed. It is concluded that as anxiety levels increase, this affects the sleep quality of high altitude migrants and thus their attentional network efficiency, and that as HGB increase, this alleviates the poor sleep quality of high altitude migrants with increased anxiety levels and thus improves their attentional network efficiency.

Significant shortages of key medicines are a global health issue. Drugs recommended as a first-line treatment are often unavailable raising concerns in patients, prescribers, and pharmacists. Among the main factors affecting the periodical drug shortages production shortages, and poor or temporary shortcomings in distribution are the most frequent. Drug replacement, when possible, can result in medication errors, and adverse reactions. National and international efforts by drug agencies, pharmaceutical companies, and political authorities are need to prevent these delays and guarantee the right to health for all.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may be associated with long-term health problems termed Long COVID or post COVID-19 syndrome. Symptoms can include fatigue, cognitive dysfunction, pain, anxiety, depression and sleep disturbances. There are few treatments available. Cannabis-based medicinal products (CBMPs) may reduce some of the common symptoms associated with Long COVID as they are known to ameliorate these symptoms occurring in other conditions. We conducted a single arm open label feasibility trial of the safety and tolerability of a full spectrum cannabidiol (CBD)-dominant CBMP for treating the symptoms of Long COVID. The treatment phase ran for a total of 21 weeks, followed by ~3 weeks without the study drug. Participants received up to 3 mL of MediCabilis 5% CBD Oil (50 mg CBD/mL, <2 mg THC/mL) per day orally. We recruited 12 (1 male, 11 female) individuals diagnosed with Long COVID into the trial. Monthly patient reported outcome measures (PROMs) of common symptoms and daily self-report of symptoms were collected via a smartphone app. Key measures of heart rate, activity, sleep, and oxygen saturation were assessed using wearable technology. All patients adhered to the treatment protocol for the duration of the study and there were no serious adverse events. Response rates for the research assessments were high with over 90% completion of PROMs and daily self-report. CBD-dominant CBMPs are safe and well tolerated in individuals diagnosed with Long COVID. Future work with larger samples and incorporating a control group should test the efficacy of this treatment.

Anxiety is a common psychological disorder associated with affective disorders and associated with other mental disorders, with depression being the most common comorbidity. Few studies have examined the neural mechanisms underlying anxiety after controlling for depressive symptoms. This study aimed to explore whether there are differences in cortical activation in anxiety patients with different severity whose depressive symptoms is normal. In current study, depression levels were normal for 366 subjects—139 healthy subjects, 117 with mild anxiety, and 110 with major anxiety. The Hospital Anxiety and Depression Scale (HADS) and a verbal fluency task (VFT) tested subjects’ anxiety and depression and cognitive function, respectively. A 53-channel guided near-infrared spectroscopic imaging technology (fNIRS) detected the concentration of oxyhemoglobin (oxy-Hb). Correlation analysis between anxiety severity and oxy-Hb concentration in the brain cortex was performed, as well as ANOVA analysis of oxy-Hb concentration among the three anxiety severity groups. Results showed that anxiety severity was significantly and negatively correlated with oxy-Hb concentration in the left frontal eye field (lFEF) and in the right dorsolateral prefrontal area (rDLPFC). The oxy-Hb concentration in the lFEF and the rDLPFC were significantly lower in the major anxiety disorder group than that in the control group. This suggests that decreased cortical activity of lFEF and rDLPFC may be neural markers of anxiety symptoms after control depressive symptoms. Anxiety symptoms without depressive symptoms may be result from the dysfunction of cognitive control network (CCN) which includes lFEF and rDLPFC.

In this study, we aimed to explore the demographic and clinical factors that could determine the short- and long-term complete pain relief (CPR) in adult patients with primary trigeminal neuralgia (PTN) after microvascular decompression (MVD) to guide clinical practice. This single-center retrospective study included 200 adult patients with PTN who underwent MVD as their initial neurosurgical procedure in the Department of Neurosurgery at the Second Affiliated Hospital of Harbin Medical University from January 2017 to December 2019 and completed a 3-year post-surgery follow-up. Pain relief of local patients at different time points after sufficient decompression of TN during MVD was evaluated by outpatient follow-up, whereas those of local cases who could not return to outpatient follow-up or non-local cases were assessed through telephone or WeChat.The type of conflicting vessels and the compression degree of TN at various time points after MVD were the related factors to CPR in logistic regression analysis, with the former having the greatest impact. The areas under the ROC curve of CPR at different time points after MVD were 0.937, 0.874, 0.879, 0.864, and 0.869, respectively. In summary, the compression degree of TN and the type of conflicting vessels could determine the short- and long-term CPR in adult patients with PTN after sufficient decompression of TN during MVD, which allowed better characterization of potential candidates suitable for MVD and contributed to optimizing the planning of MVD.

Successful product development is mostly based on how well ideas, opinions, and contributions from stakeholders are taken into account. There are signs that the way a project manager involves stakeholders in the project is directly linked to how well software products are delivered. Engagement of stakeholders enables organizations to proactively consider the requirements and desires of anyone with a stake in the stakeholder management process. For the stakeholder management process to work, all stakeholders must be listed in a reference document, and their involvement in the process must be kept up-to-date. The main goal of this study is to find a solution to this problem by coming up with a feature-based strategy for capturing and documenting the right stakeholders during the stakeholder management process. The strategy also supports ongoing monitoring of the status and attributes of stakeholders during this process. To evaluate the strategy, we have conducted a case study on the stakeholder management process of Smart Home to assess the ease of use, usefulness, effectiveness, and efficiency of the proposed strategy. The results reveal that our strategy of documenting and keeping track of the stakeholders makes the stockholder management process more effective and efficient. The results have also shown that the proposed strategy is considered easy to learn and useful by the software engineers.

Background: Balloon sinuplasty (BSP) is a common treatment modality used in the management of chronic rhinosinusitis (CRS), although it’s gained popularity, minimal self-reported data on its utilization and complications have been reported. The goal of this study was to describe current practices and complications experienced during frontal sinus BSP. Methods: An anonymous 20-question online survey was distributed to members of the American Osteopathic Colleges of Ophthalmology and Otolaryngology-Head and Neck Surgery from August 1, 2022, to August 30, 2022. Questions were listed as multiple choices or percentage sliding bars, and data were collected using a commercial online survey service site. Results were reported as frequencies, means, and percentages. Results: Forty-two respondents participated in the survey, with the majority practicing in the following hospital settings: community (80.95%), hybrid (11.90%), and academic (7.14%). The southeast had the largest proportion of respondents (30.95%), versus the midwest (28.57%), southwest (23.81%), northeast (11.90%), and northwest (4.76%). On average, BSP was performed most commonly in the hospital setting versus in-office and in surgical centers. Respondents who used BSP primarily, reported a yearly average of 35.72 cases, a median of 12 cases, and a range of 0-361 cases. Respondents who used BSP with functional endoscopic sinus surgery (FESS), reported a yearly average of 48.62 cases, a median of 31 cases, and a range of 0-189 cases. Overall, 15.3% of otolaryngologists reported using intraoperative (11.72%) or postoperative (3.62%) nasal packing. Early complications included postoperative headaches (9.86%), acute bacterial sinusitis (ABRS) (3.52%), and tooth/facial numbness (0.86%). Reported long-term complications included postoperative synechiae (5.10%), orbital complications (0.14%), and skull base complications (0.10%). A previously unreported complication was identified through this study, accidental sphenopalatine fossa dilation. Conclusions: This study contributes to the growing body of literature on frontal sinus BSP by characterizing utilization and complications from a large otolaryngologic academy.

KEY POINTS 1. Congenital cholesteatoma (CC) is a relatively uncommon condition, accounting for 2-5% of all cholesteatomas. 2. Endoscopic ear surgery is commonly employed for limited cholesteatomas , usually Potsic stage 1 and 2. 3. This is the first reported case in the literature utilized a transcanal endoscopic ear surgery approach for an 11-year-old child with POTSIC 4 Congenital cholesteatoma, ensuring complete cholesteatoma removal and subsequent area reconstruction. 4. Endoscopic approaches offer advantages in terms of visualization and minimizing the need for external incisions and postoperative scarring, CC, improving the quality of life.

Species richness has been shown to decrease, and elevational range increase (the Rapoport effect), with elevation as a consequence of biotic and abiotic factors, but patterns are inconsistent across taxonomic groups. Despite being an important indicator taxon and component of local communities, Orthoptera distributions at higher elevations in Europe remain unclear. We investigated the relationship of Orthoptera species richness and elevational range with elevation by conducting field studies at 28 sites across three study areas in the Pyrenees mountains, Europe. We found that species richness declined with elevation. Study area and the site-specific factors of sampling effort, topography (slope) and vegetation structure (density and cover) were also important predictors of species richness. We did not observe a Rapoport effect, with elevational range peaking at mid-elevation instead. Smaller elevational ranges found at high elevations may be due to a combination of sampling over a restricted elevational range and the presence of specialist high-elevation species. We also explored the composition of Orthoptera assemblages using multivariate methods, finding no clear effect of elevation, slope or vegetation structure on these communities, although study area somewhat influenced assemblages. To our knowledge, this is the first study of the Rapoport effect along an elevational gradient using insects as a study system in Europe. We argue that our findings are useful for understanding species distributions with elevation at the interface between local and regional scales. Clarifying the biotic and abiotic predictors of species distribution is important for informing conservation efforts and predicting consequences of climate change.

This study investigated the relationship between executive function development and cost-related information-gathering behaviour in early childhood. Fifty-six children aged 4-6 years completed an information gathering task, a black-and-white inhibitory task to measure inhibitory control measurement, and a backward word span task to assess working memory. In the information gathering task, children participated in non-cost and cost conditions, where they could freely gather information or incur a cost of one sticker per piece of information. Results showed that children with higher inhibitory control gathered less information when a cost was involved. This suggests that inhibitory control plays a crucial role in shaping information-seeking behaviour in the presence of explicit costs. These findings highlight the importance of executive function development in understanding how children consider costs in their decision-making processes.

For a non-lightlike non-degenerate regular curve, we have the arc-length parameter and the Frenet-Serret type formula by using a moving frame like as a regular space curve in the Euclidean space. If a point of the curve moves between spacelike and timelike regions, then there is a lightlike point. In this paper, we consider mixed types of not only regular curves but also curves with singular points. In order to consider mixed type of curves with singular points, we introduce a frame, so-called the lightcone frame, and lightcone framed curves. We investigate differential geometric properties of mixed type curves by using the lightcone frame.

Nano-Enhanced Phase Change Material (NePCM) is a promising technology aimed at reducing glob-al energy consumption by maximizing the thermal capacity and minimizing heat loss of traditional phase change materials (PCMs). The superior heat capacities, thermal conductivities, and stability of NePCMs have been the subject of extensive research, and this review aims to classify recently inves-tigated NePCMs based on their components and melting temperatures. By providing a comprehen-sive classification of NePCMs reported in the literature, considering their melting temperature and composition, this review offers a deeper understanding of these materials. Furthermore, the review delves into the various applications of NePCM in thermal management systems (TMS) and describes current methods for improving their performance by modifying geometric parameters and configura-tions. Additionally, a new classification is introduced for NePCMs that do not fit directly into exist-ing PCM categories, and a stack bar chart is created to cross-reference this classification with tem-perature and composition. The review also identifies gaps in the literature and suggests areas for fu-ture research, providing a valuable resource for those interested in this field.

Host-associated microbiota can be affected by factors related to environmental change, such as urbanization and invasive species. For example, urban areas often affect food availability for animals, which can change their gut microbiota. Invasive parasites can also influence microbiota through either competition or indirectly through a change in the host immune response. These interacting factors can have complex effects on host fitness, but few studies have disentangled the relationship between urbanization and parasitism on an organism’s gut microbial composition. To address this gap in knowledge, we investigated the effects of urbanization and parasitism by the invasive avian vampire fly (Philornis downsi) on the gut microbiota of nestling small ground finches (Geospiza fuliginosa) on San Cristóbal Island, Galápagos. We conducted a factorial study in which we experimentally manipulated parasite presence in an urban and non-urban area. Feces were then collected when nestlings to characterize the gut microbiota (i.e., alpha and beta diversity, community composition). Although we did not find an interactive effect of urbanization and parasitism on the microbiota, we did find main effects of each variable. Urban and parasitized nestlings had lower bacterial diversity and differences in relative abundance of bacterial phyla and genera compared to non-urban non-parasitized nestlings, respectively. Overall, this study advances our understanding of the complex effects of anthropogenic stressors on the gut microbiota of birds.

Background: Intracardiac echocardiography (ICE) has been widely used in clinical and has achieved significant effects in helping control the burden of cardiovascular diseases. This study aims to conduct a bibliometric analysis of publications related to ICE and provide reference and guidance for researchers to conduct in-depth research and future topic selection in this field. Methods: In the study, a systematic search of the published research on ICE spanning the years 2000 through 2022 was carried out by us using the Science Citation Index Expanded (SCIE) and the Social Science Citation Index (SSCI) of the Web of Science. We employed various software such as VOSviewer, CiteSpace, and Bibliometrix Package to analyze publication distribution, annual trends, keyword co-occurrence, and collaboration between researchers, nations, and institutions. Results: We manually screened 1021 publications. Notwithstanding the annual number of ICE-related publications’ slight fluctuations over the previous two decades, yearly publications have increased from 8 in 2000 to 47 in 2022. The United States accounted for the most significant proportion of all publications (547) and total citations (16,017). Mayo Clinic is the most active institution, Natale Andrea is the leading scholar, and the Journal of Cardiovascular Electrophysiology published the most publications in this area. “Radiofrequency ablation” was the greatest commonly occurrences keyword. Conclusions: In the past few years, the quantity of publications related to ICE has significantly increased. Future research in ICE will focus on the diagnosis, evaluation, and treatment of structural cardiac disease and cardiomyopathy.

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Word Count: 1,075Key Clinical Message: Despite emphasis for emergent surgical treatment of Stanford Type A aortic dissections, pregnant patients that are clinically stable may safely receive a staged approach instead, with delivery followed by delayed dissection repair.Keywords: Cardiothoracic Surgery, Obstetrics/Gynecology, Anesthesia, Cardiovascular Disorders

Monkeypox (Mpox) is an uncommon viral infection closely related to smallpox, manifesting as a milder febrile rash in affected individuals. Over the past two decades, the incidence of Mpox has surged, possibly linked to a declining immunity against the smallpox vaccine worldwide. Recent outbreaks of Mpox in multiple countries have sparked concerns regarding altered transmission patterns and the potential for a global menace. In this article, we present a multidimensional review, encompassing the latest scientific discoveries, illuminating the intricate structure of human Mpox virus. Additionally, we explore noteworthy breakthroughs in diagnostic techniques and therapeutic interventions. By shedding light on the molecular aspects, epidemiological trends, and clinical manifestations, our review aims to facilitate a comprehensive understanding of Mpox, providing critical insights for the field of virology and guiding public health efforts in combating this emerging threat.