Nowadays, gesture recognition has been sufficiently developed and used in Human-Computer Interaction, the traditional way is to use the wearable device such as digital gloves. With the development of computer vision, control and interaction by gesture can provide the users with a more intuitive understanding and make it easier for the operator to present. However, most methods are based on specific device such as depth sensor, which contributes to gesture recognition cannot be extensively implemented, using a normal RGB camera to track the hand and recognize the gesture becomes a significant issue. Model-driven methods is the most low-cost way. However, a problem with this method is the occurrence of jitter during the model matching process. This paper proposes a improved filter to eliminate jitter while gesture recognition and hand tracking for virtual model interaction based on a monocular camera.

The present study is designed to evaluate the nanotherapeutic efficacy of prepared PLGA-loaded Nedaplatin (PLGA-NDP) against 7,12-dimethyl benz(a)anthracene (DMBA)-induced experimental oral carcinogenesis in hamster buccal pouch (HBP) model. The buccal pouch of golden Syrian hamsters was painted with 0.5% DMBA in liquid paraffin three times a week for 14 weeks, ultimately leading to the development of oral squamous cell carcinoma (OSCC). Oral administration of PLGA-NDP (Pre-initiation) and Cisplatin delivery (5mg/kg b.wt) started one week before the carcinogen exposure and continued on alternative days. Post-administration of PLGA-NDP (5 mg/kg b.wt) started 2 days after carcinogen (DMBA) induction until the end of the experiment. After the 14 th week, we observed that DMBA-painted hamsters exhibited tumour formation, morphological alterations, and well-differentiated OSSC in addition to the responsive molecular proteins during oral carcinogenesis. Furthermore, immunoblotting analysis demonstrated that PLGA-NDP inhibits Notch signalling, as evidenced by downregulation of Bcl-Xl, Bcl-2, p21, PGE2, HGF, and CXCL12 proteins, and upregulation of p53 and Bax. This apoptotic response is crucial for PLGA-NDP to induce apoptosis. In addition, RT-PCR results showed that PLGA-NDP nanoparticles play a down-regulatory role in the therapeutic action of the notch signalling gene (Notch1, Notch 2, Hes1, Hey1, and Jagged1) at the mRNA transcription level in HBP carcinoma. Taken together, these data indicate that PLGA-NDP is a potent inhibitor of oral carcinogenesis and the expansion of cells that specifically target the Notch signalling pathway indicates that obstructing Notch signalling could potentially serve as a new and innovative therapeutic approach for oral squamous cell carcinoma (OSCC).

Ransomware continues to pose a significant threat to cybersecurity, causing extensive damage through the encryption of critical data and subsequent ransom demands. Introducing a novel dual-layer random forest approach enhances ransomware detection by leveraging hierarchical analysis of opcode sequences, providing superior accuracy and robustness compared to traditional models. The proposed methodology involves an initial layer that captures general opcode distribution patterns, followed by a refined second layer that focuses on the most discriminative features identified through advanced feature engineering techniques such as n-gram models and TF-IDF transformations. Extensive evaluations demonstrate the model's effectiveness across various performance metrics, including accuracy, precision, recall, and F1-score, significantly outperforming single-layer random forests, support vector machines, and neural networks. The hierarchical nature of the model mitigates overfitting and ensures scalability, making it well-suited for real-world ransomware detection scenarios. Additionally, detailed feature importance analysis provides valuable insights into the distinguishing characteristics of ransomware, facilitating the development of targeted cybersecurity strategies. The dual-layer random forest model represents a significant advancement in malware detection, demonstrating the potential of hierarchical machine learning techniques to address complex cybersecurity challenges with high accuracy and reliability.

Dried soil layer (DSL) is a common phenomenon forms by soil moisture deficiency in the Chinese Loess Plateau (CLP). In order to reveal the temporal stability and elimination degree of DSLs, we obtained the 19 occasions data of soil water content (SWC) at 15 observation sites in a typical slope-gully unit. The available soil moisture (ASM) and DSL were estimated by representative sites which determined through the temporal stability method, and then assessed the reliability of simulation equations between representative locations condition and mean conditions of the study area. Results show that: (1) The temporal dynamics of DSL were characterized with somewhat complexity. The ASM within the DSL (DSL-ASM), ASM within the sandwiched dried soil layer (SDSL-ASM) and quantitative index (QI) varied within the range of 2.75%–3.11%, 2.98%–4.22% and 0.254–0.356, respectively. (2) The possibility of development and recovery for DSL and SDSL in deep layers were less than that in surface layers. The maximum depth of DSL (DSLMD) was significantly and negatively related to the SDRD of DSL-ASM, the maximum depth of SDSL (SDSLMD) was negatively related to the SDRD of SDSL-ASM. (3) The prediction results of ASM above 300 cm depth were more accurate than other layers ( R 2=0.89). The DSL-ASM has a more prediction accurate than SDSL-ASM and QI. On the analysis of the time stability characteristics of ASM and dried soil layers, A2 and C3 can better represent the mean conditions of ASM at the depth of three and four soil layers, respectively. C2, A1 and A1 can better represent the average levels of DSL-ASM, SDSL-ASM and QI, respectively ( R 2=0.43, 0.14 and 0.18). (4) The restoration degrees of DSLs mainly showed no elimination and slight elimination, the DSLs cannot be completely eliminated within a short time. Scientific regulation of soil moisture can alleviate the formation and development of DSLs a certain extent, and provide the possibility for DSLs restoration.

Atmospheric convection grows differently over land and ocean. We address land-ocean contrast in convective organization using idealized cloud-resolving model simulations in a non-rotating radiative-convective equilibrium framework. In our ocean forced simulations, we mimic ocean and land forcing, exploiting their difference in heat capacities by fixing and oscillating sea surface temperature (SST), respectively, keeping temporal mean SST the same and also having a spatially homogeneous SST at a given time. Examining the speed of transition to an aggregated state we found that, an oscillating SST forces a faster onset of an aggregated state. Spatial heterogeneities of long-wave cooling are known to favor aggregation. With oscillating SST, we find that spatial anomalies of outgoing long-wave radiation are stronger, thus favoring aggregation. During the warm SST phase, long-wave cooling is enhanced in dry regions compared to neighboring moist convective regions. Stronger long-wave cooling allows stronger subsidence which allows low-level circulation to more efficiently transport moisture and energy up-gradient, driving convection to aggregate faster. We also note a sensitivity of our experimental setup to initial conditions, more so at warmer SST. This stochastic behavior, we suspect, might be critical in reconciling the differences of opinion regarding the response of convection aggregation to oscillating SST forcing.

Rationale: 3,14,19-Triacetyl andrographolide (ADA), a derivative of andrographolide, possesses promising anti-inflammatory and anti-tumor properties. However, there is currently no pharmacokinetic study of ADA. Accurate quantification of ADA in biological matrices is crucial for evaluating its pharmacokinetic profile and therapeutic potential. Here, we aimed to develop a rapid and sensitive UPLC-MS/MS method for quantifying ADA in rat plasma, facilitating preclinical pharmacokinetic studies. Methods: An ACQUITY UPLC BEH C18 column was employed for chromatographic separation of ADA and celecoxib (internal standard, IS) using a gradient mobile phase of acetonitrile/water (both containing 0.1% formic acid) at a flow rate of 0.3 mL/min. Quantification was achieved via multiple reaction monitoring (MRM) transitions of m/z 499.1→439.1 for ADA and m/z 381.9→361.9 for celecoxib. Plasma samples underwent liquid-liquid extraction prior to analysis. The method’s linearity, precision, accuracy, matrix effects, and recovery were thoroughly evaluated. Additionally, we administered different doses of ADA via two routes of administration (intragastric administration and intravenous injection) in rats and determined its plasma pharmacokinetic profile in vivo, including estimating its oral bioavailability. Results: The developed method exhibited excellent linearity (R 2=0.9921) over a concentration range of 5-2000 ng/mL for ADA in rat plasma. Both within-run and between-run precision (RSD%) were less than 6.88%, and the accuracy ranged from 94.86% to 107.61%. Matrix effects were found to be between 87.53% and 112.78%, with recoveries ranging from 98.60% to 104.39%. ADA was stable under various storage conditions in plasma. Applying this validated method to pharmacokinetic studies in rats showed that ADA exhibited linear pharmacokinetic characteristics in the dose range of 100-400 mg/kg, and the oral bioavailability was 7.193%-9.169%. Conclusion: The established UPLC-MS/MS method provides a rapid, sensitive, and reliable tool for the quantification of ADA in rat plasma, enabling comprehensive pharmacokinetic studies and further evaluation of its therapeutic potential.

Lane detection is a critical component of autonomous driving systems, enabling vehicles to identify and navigate within lanes accurately. This paper presents a novel approach to enhancing lane detection ac curacy using the Mask R-CNN algorithm. By leveraging the capabilities of Mask R-CNN, the proposed algorithm demonstrates efficient and precise detection of road lanes, including the classification of lane types and angle evaluation for steer ing purposes. The algorithm’s functionality encompasses determining bounding boxes of lanes, angle evaluation through image cropping, classification, and lane data configuration for schematic environ mental surveillance. Through extensive testing, the algorithm has shown superior performance in scenarios with challenging conditions such as insufficient lighting and lane line degradation. The results indicate a significant improvement in lane detection accuracy, making it a promising solution for advancing the capabilities of autonomous driving systems.  

Objectives: To quantify the association of ambient air pollution (particulate matter, PM 2.5) exposure with medically attended acute respiratory illness among infants with bronchopulmonary dysplasia (BPD). Study Design: Single center, retrospective cohort study of preterm infants with BPD in Metropolitan Philadelphia. Multivariable logistic regression quantified associations of annual mean PM 2.5 exposure (per μg/m 3) at the census block group level with medically attended acute respiratory illness, defined as emergency department (ED) visits or hospital readmissions within a year after first hospital discharge adjusting for age at neonatal intensive care unit (NICU) discharge, year, sex, race, insurance, BPD severity, and census tract deprivation. As a secondary analysis, we examined whether BPD severity modified the associations. Results: Of the 378 infants included in the analysis, 189 were non-Hispanic Black and 235 were publicly insured. Census block PM 2.5 level was not significantly associated with medically attended acute respiratory illnesses, ED visits, or hospital readmissions in the full study cohort. We observed significant effect modification by BPD grade; each 1 µg/m 3 higher annual PM 2.5 exposure was medically attended acute respiratory illness (aOR 1.65, 95% CI: 1.06-2.63) among infants with grade 1 BPD but not among infants with grade 3 BPD (aOR 0.83, 95% CI: 0.47-1.48) (interaction p=0.024). Conclusions: Cumulative PM 2.5 exposure in the year after NICU discharge was not significantly associated with medically attended acute respiratory illness among infants with BPD. However, infants with grade 1 BPD had significantly higher odds with higher exposures. If replicated, these findings could inform anticipatory guidance for families of these infants to avoid outdoor activities during high pollution days after NICU discharge.

Linking the M-current to the Ca2+ sensing receptor, this paper extends the repertoire of signalling paths that contribute to modulation of the M-current that was first described by David Brown and Paul Adams using voltage-clamp recordings from bull-frog sympathetic ganglion neurons. In the associated paper, Chuinsiri et al., (2024) demonstrate that in mouse dorsal root ganglia (DRG) neurons and human induced pluripotent stem cell (hiPSC)-derived nociceptive-like neurons, the Ca2+ sensing receptor (CaSR) links to Kv7.2/7.3 channels via the Gi/o protein-adenylate cyclase-cyclicAMP-protein kinase A signalling cascade. Suppression of CaSR function demonstrated a potential to rescue hiPSC-derived nociceptive-like neurons from an algogenic cocktail-induced hyperexcitability (a cell model system related to neuropathic pain).

Beta class glutathione S-transferase (GST) activity is known to be associated with antibiotic resistance, one of the most serious threats to global health. In this research, the study of antibiotic resistance developed by beta class GST was conducted using KKSG6, one of the GST isozymes found in Acidovorax sp. KKS102. The KKSG6 gene has been successfully expressed in Escherichia coli BL21 Star™ (DE3) using pET101/D-TOPO®-KKSG6 as an expression vector, resulting in the presence of a protein band of approximatly 20 kDa after purification using GSTrap™ HP column. Over-expression of KKSG6 made Escherichia coli BL21 Star™ (DE3) to be less susceptible towards kanamycin, streptomycin, gentamycin, tetracycline and chloramphenicol, suggesting the antibiotics binding with KKSG6. Our study has revealed the KKSG6 conjugation activity towards chloramphenicol, but not with kanamycin and tetracycline. The inhibition of protein conjugation activity towards CDNB by the presence of chloramphenicol has also been demonstrated. An in-silico study using protein-ligand docking predicted that antibiotics binding could take place at the protein dimer interface and H-site depending on their properties.

A document by Chinnaraji Annamalai. Click on the document to view its contents.

The fast advancement of low-field MRI (magnetic resonance imaging) has generated a high demand for costeffective and versatile consoles for MRI scanners. MaRCoS (MAgnetic Resonance COntrol System) is such an open-source system that has been well-tested on various low-field systems. However, due to limitations of the basic hardware, MaRCoS is constrained in its ability to support a wide range of field strengths and RF (radio-frequency) channels. In this study, we aim to port the MaRCoS console to high-field MRI systems and increase the number of RF receive channels, enabling phased-array coils and/or active EMI (electromagnetic interference) elimination techniques. A series of implementations were conducted across 0.11-, 0.5-, and 1.5-Telsa MRI systems, in order to evaluate its compatibility and performance. Promising results indicate that the extended console not only matches but, to some extent, surpasses the performance of a commercial spectrometer, particularly in terms of flexibility and accessibility. It is hoped that this study could effectively expand the scope of open-source MRI technology, making MRI scans more accessible and affordable.

Objectives: This study aims to examine the effects of autologous platelet-rich plasma (PRP), which increases new connective tissue synthesis and revascularization, on healing in parotid surgery wound, prevention of salivary fistula formation, drain removal time, and hospitalization in the postoperative period. Materials and Methods: Fifty-four patients who had an operation on superficial parotidectomy were randomized, and then two groups were created. PRP was gained by centrifuging the blood taken from the patients at the end of the surgery in the study group. This gained PRP was injected into the surgical site, and then the wound flap was closed by suturing. Patients were evaluated for the parameters such as the development of salivary fistula, duration of drain removal, discharge time, all other complications during the postoperative 4 weeks. Results: Drain removal time and discharge time of the PRP group cases were statistically shorter than those in the control group. The rate of development of salivary fistula according to the groups was remarkably high in the control group, but it was not statistically significant. Statistically significant correlation was found between the location of the compared tumor, and volume of material removed, and the incidence of all complications. Conclusions: PRP reduced the duration of drain removal and discharge time for those who had an operation on superficial parotidectomy. Thus, the decreased discharge time provides both reduced health costs and the risk of developing nosocomial infections. Although it was not statistically significant, a significant difference was observed in the rates of salivary fistula development.

This paper explores the development and integration of advanced predictive maintenance technologies utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) within critical industrial systems. The objective is to enhance reliability and efficiency by mitigating unplanned downtimes through real-time monitoring and predictive analytics. Through a comprehensive methodology encompassing data collection, algorithm development, system integration, field testing, and training, this study demonstrates the efficacy of AI and IoT in preempting equipment failures. Results indicate significant improvements in industrial reliability, efficiency, and safety, with reduced maintenance costs and increased equipment uptime. By leveraging real-time data analytics and predictive algorithms, industries can transition from reactive to proactive maintenance strategies, thereby optimizing operational performance and contributing to industrial sustainability.

Adaptive strategy of prey against predation risk has been pivotal in the studies of non-consumptive effects. However, the adaptive strategies and response mechanisms of prey to various predation risk cues remain unclear. We hypothesized that prey adopt the similar adaptive strategy to address different predation risks, but the response mechanisms depend on the attributes of predation risk cues. To test this hypothesis, we utilized the Didinium-Paramecium as a predator-prey model to first evaluate the effects of various predation risk cues (including homogenates from predators (TD) and prey (TP) alone or in combination (TM)) and conspecific prey density on the prey growth rate (SGRs), thus determine prey’s adaptive strategies, and then reveal the underlying response mechanisms based on transcriptomic analysis. Our results show that predation risk cues significantly enhance prey SGRs, with effects arranged in descending order as TM, TD and TP; however, such effects gradually decrease as the conspecific prey density increases until they disappear. The trend in the level of differentially expressed genes (DEGs) generated in prey exposed to different predation risk cues is similar to that of SGRs. Notably, pathways based on enrichment of DEGs mediated by predation risk cues involve cellular processes, nutrient metabolism and synthesis of biological macromolecules, however, they differ in type, number, and location within specific biological processes. In conclusion, prey Paramecium employ early reproduction strategies to address the predation risk caused by different cues, and differences in response mechanisms depend on the attributes of predation risk cues, resulting in differences in prey SGRs.

In this paper, the stochastic Hartree equation with multiplicative noise is considered and the global well-posedness is obtained for the 1D defocusing mass-subcritical nonlinearities.

Axial spondyloarthritis (axSpA) is a chronic multifactorial inflammatory disease of the axial skeleton with activation of innate immunity evidencing by an increase in classical monocytes (cMo) and the dominance of a pro-inflammatory phenotype. However, the immunosuppressive/anti-inflammatory potential of monocyte/macrophages remains practically unexplored. This study aimed to evaluate the expression of tyrosine kinase Mer (MerTK) and arginase 1 (Arg1) in patient monocyte subsets, addressing different clinical features, disease activity, and medication response. Fourty axSpA patients, ranging in age from 22 to 61, and 17 healthy donors, ranging in age from 25 to 58, were enrolled in the study. We have identified the changes in the Mo subsets in axSpA manifested by an increased proportion of cMo and an elevated Mo/Lymphocyte ratio, which are correlated with disease activity. In both donors and patients, MerTK+ and Arg1+ cells were identified in all Mo subsets, with a higher rate in intermediate (iMo) and non-classical (nMo) Mo. However, patient monocytes demonstrated a decreased percentage of MerTK+ cells in nMo and Arg1+ cells within iMo and nMo. The most pronounced decrease in monocyte expression of MerTK and Arg1 was characteristic of a more aggressive course of the disease, including patients with the involvement of peripheral joints (especially with coxitis), positive for HLA-B27, and high disease activity. This data suggests an important role of MerTK and Arg1 in limiting myeloid-driven inflammation and indicates the potential prognostic significance of these molecules as new biomarkers in axSpA.

Validation of fish environmental RNA metabarcoding analysis for ecological surveys by additional traditional field surveys in the Naka River

The ever-changing world of online security requires us to constantly improve how we protect web applications from attack. In this paper, the important role of Web Application Firewalls (WAFs) will be discussed, along with how a powerful defense can be offered by combining them with Security Information and Event Management (SIEM) systems. We’ll look at the best ways to set up a WAF, including how to manage rules, create profiles, and carefully scan incoming content. Additionally, we’ll explain how a SIEM system works alongside your WAF to gather and analyze data, helping you spot and react to threats quickly. We’ll share examples of how this has worked in real-life situations and talk about the difficulties and potential future directions in this field.

Dear Editor,We read with interest the manuscript published by Zhao et al. [1]. We wish to express our admiration for the authors’ innovative insights and pivotal observations. As we delve into further investigations on this subject, we believe it is important to highlight certain inherent limitations and address ambiguities within the article.First, information bias is a major concern due to absence of an intent-to-treat analysis on patient compliance, validity of capture of clinical status and lifestyle choices by questionnaires. Moreover, the lack of comprehensive information about patients’ motives for seeking hospital assistance could introduce variations influenced by social desirability. Another concern pertains to the reliance on patient self-reports for diabetes mellitus (DM) data. Given the known impact of DM medication and glycemic control on hepatocellular carcinoma (HCC) risk [2,3], it is imperative to collect more detailed data, encompassing DM medication usage, HbA1C levels, and glycemic status, to gain a comprehensive understanding of the clinical context.Second, considering possible residual confounders such as comorbidities, we suggest including additional covariates in the analysis, specifically metabolic diseases, cardiovascular diseases, and renal function. Emerging evidence has underscored the correlation between metabolic dysfunction and heightened HCC risk in individuals with non-alcoholic fatty liver disease (NAFLD) [3,4,5]. Also, evidence of robust relationship between cardiovascular diseases and hepatocellular carcinoma had been reported [3]. Moreover, renal function status has been independently identified as a significant risk factor for HCC progression [4]. Recognizing these associations, we advocate for the incorporation of above comorbidities as covariates, enhancing the robustness of analysis by accounting for influential factors.Finally, we noted that the study did not exclude patients who consumed both sweeteners and sugars concurrently, thus potentially resulting in misclassification bias. Furthermore, the description of the grouping method used during subject selection was not explicitly outlined. A closer examination of Figure 1, along with participant numbers, suggests potential overlap between the sugar-sweetened and artificial sweetener groups. Specifically, the sum of participants from these groups (163,573) exceeds the total count of participants indicated in the study (122,970). This discrepancy raises concerns about participant allocation accuracy and potential implications for study outcomes.We appreciate the contributions of the authors to this field and believe that addressing these points could further strengthen the significance and reliability of their findings.ReferencesZhao L, Zhang X, Coday M, et al. Sugar-Sweetened and Artificially Sweetened Beverages and Risk of Liver Cancer and Chronic Liver Disease Mortality. JAMA. 2023;330(6):537-546. doi:10.1001/jama.2023.12618 Rigor J, Vasconcelos R, Lopes R, Moreira T, Barata P, Martins-Mendes D. Associations between muscle mass, strength, and performance and non-alcoholic fatty liver disease. Minerva Gastroenterol (Torino). 2023;69(3):374-381. doi:10.23736/S2724-5985.22.03097-2 Powell EE, Wong VW, Rinella M. Non-alcoholic fatty liver disease. Lancet. 2021;397(10290):2212-2224. doi:10.1016/S0140-6736(20)32511-3 Chen YG, Yang CW, Chung CH, Ho CL, Chen WL, Chien WC. The association between metabolic risk factors, nonalcoholic fatty liver disease, and the incidence of liver cancer: a nationwide population-based cohort study [published correction appears in Hepatol Int. 2022 Apr;16(2):488]. Hepatol Int. 2022;16(4):807-816. doi:10.1007/s12072-021-10281-9 Preveden T, Veres B, Ruzic M, et al. Triglyceride-Glucose Index and Hepatic Steatosis Index for the assessment of liver steatosis in HCV patients. Minerva Gastroenterol (Torino). 2023;69(2):254-260. doi:10.23736/S2724-5985.22.03168-0

TO THE EDITOR:We recently read with great interest the article written by Ehrmann et al. (1), wishing to point out possible flaws in inclusion criteria. First of all, we believe that the genre of the intensive care units (ICUs) must be taken into consideration. According to the following two articles about the risk factors and epidemiology of Ventilator associated pneumonia in ICUs (2-3), we believe that comparing to internal medical ICUs, surgical ICUs, which being composed mostly of patients with trauma and disturbed consciousness, have more than 1.5 times higher incidence rate. Furthermore, we also believe among different hospitals would manifest different bacteria colonization, and thus bias may exist. Moreover, early onset VAP in previously healthy patient usually involves oropharyngeal flora whereas late-onset VAP and patients with risk factor of multidrug resistant (MDR) pathogens are more likely to develop such pathogens (4-5). Given uncertain pathogens and time to infection, we can’t rule out this bias.References:Ehrmann, S., Barbier, F., Demiselle, J., Quenot, J. P., Herbrecht, J. E., Roux, D., … & Tavernier, E. (2023). Inhaled Amikacin to Prevent Ventilator-Associated Pneumonia. New England Journal of Medicine .Othman, H. A., Gamil, N. M., Elgazzar, A. E. M., & Fouad, T. A. (2017). Ventilator associated pneumonia, incidence and risk factors in emergency intensive care unit Zagazig university hospitals. Egyptian Journal of Chest Diseases and Tuberculosis, 66(4), 703-708.Craven, D. E. (2000). Epidemiology of ventilator-associated pneumonia. Chest, 117(4), 186S-187S.Papazian, L., Klompas, M., & Luyt, C. E. (2020). Ventilator-associated pneumonia in adults: a narrative review. Intensive care medicine, 46(5), 888-906.Hosamirudsari, H., Forghani, S., & Samaneh, A. (2018). Multi-drug resistant ventilator associated pneumonia: risk factors and outcomes. Can J Infect Control, 33(1), 20-4.

Dear editor:We have had the opportunity to read an article published by Yu-Hsiang Meng et al. [1], and we firmly believe that the correlation between carbon monoxide poisoning and epilepsy is of great significance. Over the past decades, incidents of carbon monoxide poisoning have been occurring frequently in Taiwan. However, with continuous efforts to raise awareness about the precautions of using gasoline or water heaters indoors, the number of accidents has gradually decreased in recent years. Nevertheless, carbon monoxide poisoning remains a challenging issue, not only due to its high mortality rate but also because of the subsequent health problems that arise after resuscitation [2-4]. According to the aforementioned article, there is a strong association between CO intoxication and epilepsy, which is a complex central nervous system condition that often indicates the presence of underlying encephalopathy or other systemic diseases. Although the conclusion of the article seems to be reasonable, we still like to highlight some inherent limitations of the databases and address certain ambiguous concepts mentioned in the article with the aim of advancing further research on this topic.In the beginning of the article, it is said that delayed neurologic sequelae (DNS) might be the crucial point of the occurrence of epilepsy. However, we can’t see any direct evidence to prove this hypothesis in the remaining part of the article. Neither clinical images (for example, magnetic resonance imaging or computed tomography) nor laboratory data (for example, HbCO level [5] or oxygen saturation in the blood) was taken into consideration, which makes it quite difficult to explain authors’ statements. Furthermore, since 2008 the government in Taiwan established several regulations about CO sensor. These regulations have potentially reduced the time for resuscitation and the occurrence of extremely high HbCO levels in the blood in cases after 2008, causing it possibly with lower severity of brain damage than cases before 2008. This is why we strongly recommend that the inclusion of HbCO levels should not be disregarded in this study.Secondly, we believe that the covariates considered in this article is insufficient. As we know, the etiology of epilepsy could be provoked by toxic, structural, cardiogenic, metabolic, and systemic causes [6], showing a great variety within inpatients and outpatients. A recent study showed that CNS infection, brain tumor or AVM, mental and behavior disorders are also common reasons of epilepsy for hospitalized patients [7], which is not involved as co-variates in Dr. Meng’s research. As for the common reasons of outpatients, either cryptogenic or congenital problems are among the highest percentage [8], which is also ignored in Dr. Meng’s article. All in all, we believe that the the research should take more baseline comorbidities into consideration.In summary, we would like to reaffirm our positive altitude to the relationship between carbon monoxide and epilepsy. However, the mechanism of brain damage coincide with epilepsy is still ambiguous and needed to be confirmed in further investigation.References:Meng YH, Hsieh MS, Chi YC, How CK, Chen PC, Chang CM. Effect of Carbon Monoxide Poisoning on Epilepsy Development: A Nationwide Population-Based Cohort Study. Ann Emerg Med. 2023 Aug;82(2):145-151. doi: 10.1016/j.annemergmed.2022.11.021. Epub 2023 Feb 15. PMID: 36797130.Shin M, Bronstein AC, Glidden E, Malone M, Chang A, Law R, Boehmer TK, Strosnider H, Yip F. Morbidity and Mortality of Unintentional Carbon Monoxide Poisoning: United States 2005 to 2018. Ann Emerg Med. 2023 Mar;81(3):309-317.Ghanbari V, Ardalan A, Nejati A, Rostamnia L, Mousavi G. Emergency numbers accessibility for disabled peoples’: Case of the Islamic Republic of Iran. J Emerg Manag. 2020 Nov-Dec;18(6):541-544. doi: 10.5055/jem.2020.0512. PMID: 33428209.Lemak, MPH, R. (2007). Carbon monoxide poisoning from devices used in disaster recovery. Journal of Emergency Management, 5(3), 25–32. https://doi.org/10.5055/jem.2007.0005Touger M, Gallagher EJ, Tyrell J. Relationship between venous and arterial carboxyhemoglobin levels in patients with suspected carbon monoxide poisoning. Ann Emerg Med. 1995 Apr;25(4):481-3.Wyman AJ, Mayes BN, Hernandez-Nino J, Rozario N, Beverly SK, Asimos AW. The First-Time Seizure Emergency Department Electroencephalogram Study. Ann Emerg Med. 2017 Feb;69(2):184-191.e1.Yu N, Lin XJ, Zhang SG, Di Q. Analysis of the reasons and costs of hospitalization for epilepsy patients in East China. Seizure. 2019 Nov;72:40-45.Garcia-Martin G, Perez-Errazquin F, Chamorro-Muñoz MI, Romero-Acebal M, Martin-Reyes G, Dawid-Milner MS. Prevalence and clinical characteristics of epilepsy in the South of Spain. Epilepsy Res. 2012 Nov;102(1-2):100-8.

In this review of "P-wave alternans rebound following pulmonary vein isolation predicts atrial arrhythmia recurrence," we examine a study performed by Nearing et al in the use of P-wave morphology, as a predictor of A-Fib recurrence. Patients who underwent pulmonary vein isolation, had pre and post-procedural ecgs performed specifically to monitor P-waves. With the help of artificial intelligence, objective and reproducible findings established the presence of P-wave alternans. This novel technique uses our most ubiquitous test in medicine, as a means to help hone our ability to stratify patient's risk for recurrence of their arrhythmia. And, hopefully, give clinicians a means to individualize the approach to monitor and offer prophylactic treatment to ablation patients, garnering a success level once thought unachievable.

TO THE EDITOR:We read Redline et al.’s article [1] with keen interest, aiming to highlight a potential risk factor for adenotonsillectomy. Obstructive sleep apnea (OSA) has emerged as a critical focus in modern health research due to its widespread prevalence and significant impact on overall health. This condition affects millions of individuals globally, with far-reaching implications for public health [2].It is known that after birth, the surfaces of human adenoids and palatine tonsils exhibit numerous folds and crypts inhabited by commensal microbiota. These microorganisms subsequently play a role in shaping the maturation of the innate mucosal immune response, potentially serving as a critical determinant in either safeguarding or predisposing individuals to mucosal infections [3-4]. Therefore, we are concerned that after adenotonsillectomy, the immune pathway of infants would be altered, thus causing lasting effects in adulthood. According to this study [5], which tracked children who underwent adenoidectomy or tonsillectomy up to 30 years old, the results show that tonsillectomy was associated with nearly tripled relative risk of diseases of the upper respiratory tract, and adenoidectomy was associated with more than doubled relative risk of chronic obstructive pulmonary disorder (COPD). The relative risk of upper respiratory tract diseases and conjunctivitis is nearly doubled. This finding provides a decision factor for those children who are at high risk of upper respiratory disease, such as a family history of lung cancer. Another similar article [6] compared the asthma conditions, emergency room visits, hospitalization rates, and asthma prescriptions of poorly controlled asthmatic children before and one year after undergoing adenotonsillectomy. The results indicate that undergoing the surgery can improve asthma symptoms. Despite providing the opposite result, this article lacks efficient observational outcome indicators and needs a longer observation period.Based on previous studies, we recommend that decision-making regarding surgery needs to consider the risks of various long-term health conditions.References:Redline S, Cook K, Chervin RD, et al. Adenotonsillectomy for Snoring and Mild Sleep Apnea in Children: A Randomized Clinical Trial. JAMA . 2023;330(21):2084-2095.Kattimani V, Panneerselvam E, Tiwari R, Panga GSK, Sreeram RR. An Overview of Systematic Reviews on the Surgical Management of Obstructive Sleep Apnoea. J Maxillofac Oral Surg. 2023 Dec;22(4):781-793. doi: 10.1007/s12663-023-02051-x. Epub 2023 Nov 17. PMID: 38105854; PMCID: PMC10719205.Johnston JJ, Douglas R. Adenotonsillar microbiome: an update. Postgrad Med J. 2018;94(1113):398-403.Hara M, Morimoto N, Watabe T, Morisaki N, Matsumoto K. Can the effectiveness of tonsillectomy for PFAPA syndrome be predicted based on clinical factors. Int J Rheum Dis. 2023;26(3):480-486.Byars SG, Stearns SC, Boomsma JJ. Association of Long-Term Risk of Respiratory, Allergic, and Infectious Diseases With Removal of Adenoids and Tonsils in Childhood. JAMA Otolaryngol Head Neck Surg. 2018;144(7):594-603.Kaiser P. Obstructive sleep apnea in poorly controlled asthmatic children: effect of adenotonsillectomy. Pediatr Pulmonol. 2012;47(3):311-314.