The electrocardiogram (ECG) is a vital device to examine the electrical activities of the heart. It is useful for diagnosing cardiovascular diseases, which often manifest themselves through alterations in the ECG signals' characteristics. These alterations are primarily observed in the signals' key components: the Q, R, S, T, and P peaks. At present, cardiologists typically rely on manual inspection of ECG measurements taken in controlled environments, such as hospitals and clinics, but most cardiac conditions reveal themselves outside clinical settings, when patients freely move and exert. In this paper, we dynamically identify and extract prominent ECG features in measurements taken outside clinical settings by subjects who have no medical training. The activities we consider are typical activities cardiac patients carry out in residential and rehabilitation environments, such as sitting, climbing up and down stairs, and standing up. To achieve accurate feature extraction, we employ adaptive thresholding and localization techniques. Our approach achieves promising results, with an accuracy of 95% for R peak detection and 92% for Q and S peaks detection. Similarly, our approach enables the detection of T and P peaks with an average accuracy of 87% and 84%, respectively.

Pilomatricoma in the Infraorbital Region

Bioinformatic analyses have become an integral part of modern life sciences. This manuscript is an ideal introduction into the exciting world of transcriptome analysis and is aimed at beginners. For example, as a comprehensible introduction for students, or as a useful addition to school lessons. Bioinformaticians deal with the research of genomes, i.e. the collection of blueprints of living organisms. For a few decades, they have been able to read the text of the individual blueprints, the transcripts, using sequencing methods. Over time, more and more sequencing methods have been developed and, for around 20 years, a method called RNA-Sequencing (RNA-Seq) has even made it possible to determine how often individual blueprints are read and required by a living organism. The combination of sequence information with information on the frequency of use enables an enormous number of insights into the function of the organism. Since RNASeq generates huge amounts of data, the work of bioinformaticians is similar to that of gold miners, with an extensive search for the relevant information. In this article you will find out how modern gold miners work and what the gold nuggets they are looking for look like.

Peter. G. Osborne. Correspondence. Baongong Agriscience Center, Fengtian Lu 1-8, Fengtian 961, Taiwan.  Peter.G.Osborne@gmail.com

The increasing sophistication and frequency of ransomware attacks have posed significant challenges to existing cybersecurity measures, highlighting the need for more effective detection techniques. A novel approach is presented that leverages an aggregated random forest technique to enhance the accuracy and robustness of ransomware detection. Through the integration of multiple random forests, the proposed method demonstrates superior performance in detecting a wide array of ransomware variants, including those utilizing advanced evasion tactics. The methodology includes comprehensive data collection, feature extraction, and rigorous evaluation, yielding high detection accuracy while maintaining low false positive and negative rates. Comparative analysis with other machine learning techniques, such as Support Vector Machines and Neural Networks, further underscores the efficacy of the aggregated random forest model, which also excels in detection speed and resource utilization. The implications for cybersecurity are profound, offering a scalable and efficient solution for real-time ransomware detection, thereby contributing to the resilience of security infrastructures across various sectors. Future work could explore the model's adaptability to new ransomware variants, integration with other machine learning techniques, and broader applicability to different types of malware.

In its first part, this article develops a variational formulation for modeling a chemical reaction suitable to represent a combustion process. The results are obtained through standard tools of calculus of variations and optimization theory in function spaces. We assume such a chemical reaction develops in a control volume which allows the entering and leaving of the concerned reacting chemical substances. We highlight the related fluid motion is addressed in an Eulerian context. Finally, in the last sections, we present a variational formulation for a model in superconductivity, including a magnetic field and respective magnetic potential.

The main goal is to numerically express Biot's equations for wave propagation in porous media with moment-tensor wave-excitation, to implement the numerical method, and to illustrate the loss mechanism when a fast P-wave propagates in a homogeneous medium. The numerical problem is solved with the method introduced and applied earlier for elastic and poroelastic problems. That is, the second order differential Biot equations in displacement- and stress-field variables are changed to first-order differential equations in the velocity- and stress-fields. The 2D finite difference scheme is implemented in a staggered grid in time and space with fourth order derivatives in space and second order derivatives in time. The code implementation of derivatives, accuracy, stability, convergence, initial conditions, moment tensor source, and boundary conditions are analyzed. The convergence is verified by the method of manufactured solutions. The source function is formulated as a force in time and location and added on the right hand side of Biot's equations. Two homogeneous porous media with consolidated sandstone frames and saturating pore fluid consisting of water or gas are tested. The source function chosen in the tests gives super-seismic frequencies. The water-filled pores give large amplitude slow Ps-waves in mainly wave mode. On the contrary, the gas-filled pores give slow Ps-energy in mainly diffusive mode. In conclusion, the numerical tests show expected behavior of the by Biot given poroelastic wave propagation. The real setting is a deep solid layer with a reservoir consisting of fluctuations of sand and shale. The pores are filled with water, oil, liquid CO\(_{2}\), or gas. Using well measurements a real geological model can be obtained and the effect on seismic and super-seismic data of saturating fluid in a reservoir observed from the earth surface or in a well-bore and in the laboratory (in core-plugs), respectively, can be analysed.Keywords --- poroelastic modelling, Biot, full waveform, mathematical formulation, numerical study, Rock physics, borehole geophysics

Light velocity, when measured by Humans, would always result in a constant value and the maximum possible velocity that humans can measure, a claim that was presented by Einstein's Special Relativity Theory as an axiom, without any proof. The above demonstrates the uniqueness of the velocity of Light. But it should be also emphasized that the velocity of Light also presents a severe peculiarity, which is presented as follows: When a moving Human spectator measures the velocity value of any tangible substance, for example, the velocity of a moving Massive Body, the velocity, and the direction of motion of this spectator, relative to the velocity and the direction of motion of this Massive Body, does affect the measured velocity value of this Massive Body, by this Human spectator. But, when a moving Human spectator, measures the velocity value of a Light beam, the velocity, and the direction of motion of this spectator, relative to the direction of motion of this Light beam, does not affect at all, the measured velocity value of this Light beam, by this Human spectator, which always results in a constant Light velocity value, which is also the maximum velocity value that Humans can measure. This should be regarded as a severe peculiarity, in any velocity value measurements of Light beams, by Humans, which must be also explained. Because it seems reasonable that the velocity of a Light beam measured by Humans, when the Light beam and the Human travel at opposite directions, should be bigger as compared to the velocity of a Light beam measured by Humans, when the Light beam and the Human travel on the same directions.

Suspended sediment fluxes on continental shelves impact geomorphology, habitats, and biogeochemistry. In the coastal Arctic, the rate at which sediment is transported to locations where it can be sequestered also impacts the fate of carbon from thawing permafrost. This study used a numerical model to analyze the role of wave events on open water suspended sediment fluxes over hourly to monthly timescales. A coupled hydrodynamic – sediment transport model, the Regional Ocean Modeling System (ROMS) - Community Sediment Transport Modeling System (CSTMS), was implemented within the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System for the 2020 open water season on the Alaskan Beaufort Sea shelf. Results showed that wave- and current-induced bed shear stresses were frequently capable of resuspending sediment. Waves dominated bed shear stresses in depths shallower than 10 m and currents dominated in depths deeper than 20 m. Suspended sediment flux directions oscillated with the currents, which were eastward on average. However, since large waves tended to occur during westward currents, time-averaged suspended sediment fluxes on the inner shelf were westward. Sensitivity tests were performed where significant wave heights were (1) set to zero and (2) doubled, which showed that waves increased the fraction of time that sediment could be resuspended by up to 50% and increased westward suspended sediment fluxes on the inner shelf. Overall, the results improve our understanding of how waves impact sediment fluxes on the Beaufort Sea shelf during the open water season and suggest that terrestrially-derived sediment may be transported westward along the inner shelf.

The surface reconstruction behavior of transition metal phosphides (TMPs) precursors is considered an important method to prepare efficient oxygen evolution catalysts, but there are still significant challenges in guiding catalyst design at the atomic scale. Here, the CoP nanowire with excellent water splitting performance and stability is used as a catalytic model to study the reconstruction process. Obvious double redox signals and valence evolution behavior of the Co site are observed, corresponding to Co2+/Co3+ and Co3+/Co4+ caused by auto-oxidation process. Importantly, the in-situ Raman spectrum exhibits the vibration signal of Co-OH in the non-Faradaic potential interval for oxygen evolution reaction, which is considered the initial reconstruction step . Density functional theory and ab initio molecular dynamics are used to elucidate this process at the atomic scale: First, OH- exhibits a lower adsorption energy barrier and proton desorption energy barrier at the configuration surface, which proposes the formation of a single oxygen group. Under a higher -O group coverage, the Co-P bond is destroyed along with the POx groups. Subsequently, lower P vacancy formation energy confirm that the Ni-CoP configuration can fast transform into highly active phase. Based on optimized reconstruction behavior and rate-limiting barrier, the Ni-CoP exhibit an excellent overpotential of 236 mV for OER and 1.59 V for overall water splitting at 10 mA cm-2, which demonstrates low degradation (2.62 %) during the 100 mA cm-2 for 100 h. This work provide systematic insights into the atomic-level reconstruction mechanism of TMPs, which benefit further design of water splitting catalyst.

Title pageCase ReportProlong embedded Earring at earlobe with erosive oral lichen planusKeywords: oral lichen planus,erosive lichen planus, embedded earringWord count :1151Figures: 3Author: Sutthinun Wichyanrat, MDInstitute: Division of dermatology, Department of medicine, Ramathibodi hospital, Mahidol University, Bangkok, ThailandCorresponding author: Sutthinun WichyanratEmail: s.wichyanrat@gmail.comCase reportProlong embedded earring at earlobe with erosive oral lichen planusKey clinical message Embedded earring in adults is reported to be the causative of erosive lichen planus.Abstract Erosive lichen planus is rare and mostly cannot find the cause of this condition. Embedded earring at earlobe in adults also very rare. We accidentally remove the earring from earlobe and the condition of erosive oral lichen planus seem to improve gradually. Then we hypothesized that the embedded earring may be the factor inducing the erosive lichen planus in this case.Keywords : oral lichen planus, erosive lichen planus, embedded earringIntroduction : The causative of erosive lichen planus is usually unknown, although possible causes of oral lichen planus is immune-related, another factor such as stress and contact allergen have been report in the literatures. The most common contact allergen is metal in amalgam which may be irritate the buccal mucosa and cause oral lichenoid reaction. The distant metal outside the oral area may be the trigger of oral lichen planus, but have never been reported in the literature. We believe this case report may be the first case that the erosive lichen planus is improved after we found the foreign body material inside the earlobe and remove it.Case History and examinations : A 38-years-old Thai female have painful ulcer in upper, lower lip and lateral side of her tongue for 3 years. The physical examination was shown erythematous ulcerative ulcer at upper and lower lip mucosa, and erosive gingiva, and erythematous ulcer at lateral side of tongue.

Conservation biology requires accurate data on how human-induced threats affect wildlife fitness and survival. Gut microbiota play a critical role in health by influencing physiology, nutrition, immunology, and behaviour. Advances in non-invasive sampling, particularly scat microbiome analysis, offer scalable conservation solutions. This study establishes a

Introduction Radiation therapy targets tumor tissue and requires children to lay still, which often necessitates procedural sedation. Historically anesthesiologists provided procedural sedation, but pediatric critical care physicians now regularly administer sedation to children outside the operating room. Procedural sedation for radiation therapy poses unique challenges. This study’s objective was to evaluate the efficacy and safety of repeated sedations for radiation therapy performed by pediatric critical care physicians. Methods We performed a single-center, retrospective case series of children who received procedural sedation for radiation therapy by pediatric critical care physicians. The primary outcome was the success rate, defined as completion of the sedation and radiation treatment. Secondary outcomes included type of medication, dosing, tolerance, and complications requiring intervention. Results In our sample, 55 patients underwent 1174 sedation instances (mean 19.8 sedations per patient). Patients had a mean age of 4.7 years (SD 3.4), and a mean weight of 20.2 kg (SD 11.9). All patients had an ASA of 2 (74.5%) or 3 (25.5%). All patients had either a brain tumor (49.1%) or a solid tumor that was non-mediastinal (50.9%). The success rate of sedations was 99.8% (1172/1174). The mean duration of sedation was 30.7 min (SD 12.4). All sedations included propofol as a first agent with a mean bolus 3.3 mg/kg (SD 1.4) and a mean drip rate 148.7 mcg/kg/min (SD 39.7). 4.4% of sedations required a second agent (ketamine or dexmedetomidine). There was no significant effect of repeated sedation with regards to the medication amount received (p=0.97). 0.2% of sedations had laryngospasm. No patients required bag-mask ventilation, intubation, or chest compressions; no patients died. ­ Conclusion Pediatric critical care physicians can perform procedural sedation for radiation therapy successfully and safely.

Under-expansion of the coronary stent is associated with increased rates of in-stent restenosis and thrombosis. Stentablation with rotational atherectomy is used for the management of undilatable, under-expanded coronary stents; however, its effect on coronary microcirculatory function remains unclear. This novel report compares microcirculation indices before and after stentablation.

Background: The pathomechanism of blast TBI and blunt TBI is different. In blast injury, evidence indicate that a single blast exposure can often manifest long-term neurological impairments. However, its pathomechanism is still elusive and treatments were symptomatic. Poly ADP Ribose Polymerase-1 (PARP1) is being implicated in the parthanatos and secondary neuroinflammation. Animal studies indicate the over-activation of as a major downstream event underlying the neurological sequalae of several traumatic and neurodegenerative disorders irrespective of the mode of cell death. PARP over-activation forms ADP polymers on several nuclear proteins known as trans-PARylation by consuming NAD+ and ATP. As NAD+ is a substrate for sirtuins, it too has been implicated in the oxidative stress underlying TBI pathology. Hypothesis: We recently established the implication of PARP1 following blast overpressure (BOP) and its differential response on astrocytes and microglial cells. We found that the inhibition of PARP is proven to be beneficial by attenuating oxidative stress. In this study, we hypothesized the involvement of the PARP1-SIRT-NRF2 axis following Blast induced PARP over-activation in glial cells for the manifestation of oxidative stress in BOP insults. Objective: Our objective is to determine the downstream modulation of the PARP-Sirt-NRF2 axis and changes in ATP levels following blast exposure in astrocytes and microglia cell lines. Results: As a result of NAD+ being a common substrate for PARP1 and Sirtuins, we found the decreased expression of SIRT1, SIRT3 and NRF2, a major transcriptional regulator for the expression of antioxidant genes. We found that ATP levels were elevated post-BOP from both glycolysis and oxidative phosphorylation (OXPHOS), an increase of ATP by glycolysis more significant than OXPHOS source indicating the pro-inflammation post-BOP. Conclusion: This result shows that blast-induced PARP over-activation impacts the deacetylation activity of sirtuins and consequently impacts the regulation of antioxidant levels in astrocytes and microglia.

Artificial intelligence systems, particularly those deployed in high-stakes environments, require a high degree of transparency and explainability to ensure that their decisions can be understood and trusted. Traditional approaches to enhancing explainability often rely on post-hoc methods that fail to fully capture the internal reasoning processes of complex models. In this research, a novel integration of Belief Change Theory was employed to address this challenge, offering a systematic framework for belief revision that directly influences the decisionmaking process of the model. The proposed methodology was implemented in the Llama model, which was modified to incorporate belief revision mechanisms capable of handling contradictory information and generating coherent explanations. Through a series of simulations, the modified model demonstrated significant improvements in belief consistency, revision accuracy, and overall explainability, outperforming traditional models that lack integrated belief management systems. The findings highlight the potential of Belief Change Theory to not only enhance the transparency of AI systems but also provide a foundation for more dynamic and interactive forms of model interpretability. The research opens new avenues for the development of AI systems that are both powerful and accountable, paving the way for their adoption in critical decision-making contexts.

Burning histories derived from charcoal preserved in sediment archives offer scope to reconstruct past climate and landscape dynamics. The fault-bounded Aksay Pond in northwestern China preserved 24 macrocharcoals that when analysed for 14C using Accelerated Mass Spectrometry recorded three periods spanning two sigma error ranges of 1053 to 1379 CE, 1424 to 1622 CE and 1652 to 1990 CE. These periods of charcoal formation span the early to middle stages of the Medieval Climate Anomaly, the early stages of the Little Ice Age (LIA), and the transition from peak LIA to Recent Warming. The charcoal record from Aksay Pond differs from other Altai climate and burning records suggesting the region has a complex burning history.

Subsurface accumulations of chlorophyll, also known as deep chlorophyll maxima (DCMs), have been studied in the tropical and temperate oceans for decades, but they have received less attention in the Southern Ocean. Their formation and maintenance are still under debate, as is their contribution to phytoplankton biomass and net primary productivity (NPP). Recently, the application of satellite-based NPP algorithms to data from biogeochemical (BGC)-Argo floats has improved vertically-resolved NPP estimates. Using this new approach on 247 BGC-Argo floats, we report (1) subsurface (below the mixed layer) estimates of NPP, (2) the contribution of subsurface NPP to total NPP, and (3) the influence of DCMs and deep biomass maxima (DBMs, based on particulate backscatter) on (1) and (2). We compare and contrast trends in adjacent latitudinal bands in the southern hemisphere, south of 30°S, from nitrate-limited oligotrophic waters to iron-limited high-nutrient, low-chlorophyll (HNLC) regions. This comparison of pervasive DCMs in oligotrophic waters with the same features in HNLC waters reveals differences in seasonality of DCM occurrence and their contribution to total NPP. Unlike oligotrophic DCMs, HNLC DCMs occur only during spring and summer, and their contribution to total NPP decreases from ~40% to ~25% through the productive season, likely linked to the availability of iron and silicate. When DCMs are present but not accounted for, up to 45% of NPP is not quantified. Our results highlight the importance of understanding the vertical structure of phytoplankton stocks and productivity, with direct impacts on global NPP estimates and, ultimately, the biological carbon pump.

Intro: In Australia, older Aboriginal and Torres Strait Islander (hereafter Indigenous) Australians have the highest prevalence of hearing loss, with Indigenous-specific audiological services being provided. However, there is limited research on the experiences older Indigenous Australians have with hearing loss and audiological services. Therefore, this study aimed to consolidate existing literature with a scoping review, specifically on the above to identify gaps and guide future research. Method: Ten databases were searched, identifying 539 records; twenty-one studies met our inclusion criteria. Our inclusion criteria constituted research of any design on the experiences of older Indigenous Australians (aged 45+) with hearing loss and audiological services. Results: Sixteen studies reported on experiences with hearing loss, four studies reported on experiences with audiological services, and one study reported on both experiences. Prevalence of hearing loss was estimated to be 20-34% in older Indigenous Australians; a discrepancy between self-reported and objective hearing difficulties was also identified. Audiological services currently available to older Indigenous Australians were also underutilised. Conclusions: Future experimental/correlational research with Indigenous Australians is required to uncover: (1) the reasons for underreported hearing loss; (2) types of hearing loss experienced; (3) barriers to accessing audiological services; and (4) best hearing-loss management and rehabilitation practices.

Note: Strings and micro cylinders of structured  nanowires  (silicon/germanium)  are used for possible applications in energy, electronics, optics and other fields.Nanowires  (Si Silicon / Germanium Gi)  , narrow structures whose diameter is only a few billionths of a meter but thousands or millions of times longer.  They exist in various forms—made of metals, semiconductors, insulators, and organic compounds—and are used for applications in the fields of electronics, energy conversion, optics, and chemical sensing. Because of their extreme thinness, nanowires  with the (Si Silicon / Germanium Gi) structure  are essentially one-dimensional. Nanowires  are quasi-one-dimensional materials, "their two dimensions are on the nanometer scale."  This one-dimensionality confers distinct electrical and optical properties. For one thing, this means that the electrons and photons in these nanowires experience "confined quantum effects." However  , unlike other materials that produce such quantum effects, such as quantum dots, the length of nanowires allows them to communicate with other macroscopic devices and the outside world.

A document by Matthew Chen. Click on the document to view its contents.

Note: The use of audio signals to identify molecular activity (interaction) or (active orbit) is attractive. In nanocommunication and interaction with electronic nanoparticles based on carbon nanotubes, the sensitivity of signal recognition may be increased through the production of controllable noise.These carbon nanotube-based nanocommunications show that it is possible to identify individual molecules through their unique noise particles in current nanocommunication signals. Improved knowledge of molecular origin and interaction with electronic nanoparticles based on noise nanotubes should lead to the development of electronics that use noise to improve their performance instead of destroying it. Regarding  the communication structure between two nanoparticles through chemical signaling,  their measurement performance requires that they be placed in  an environment from which parameters must be measured, and the  area covered by a nanoparticle is limited to the environment.  Is around it. This is while a network of nanoparticles communicates It can cover a wider area and perform more network processing  . In addition, there are several nanocommunication technologies that  require the use of external excitation and measurement to work.  Wireless communication between the nano-network and micro and macro devices and equipment can  meet this need.

This study conducts a comprehensive analysis of artificial intelligence models' capabilities in solving advanced mathematical problems beyond Calculus II. Notably, the research focuses on evaluating the effectiveness of six optimized models, including a specially designed Physics-Informed Neural Network (PINN), in solving stochastic, linear, nonlinear, and ordinary differential equations. Our findings revealed that the optimized PINN achieved a success rate of 91.03%, outperforming most state-of-the-art artificial intelligence models. This research contributed to the development of artificial intelligence mathematical reasoning, with potential applications to high-level engineering, healthcare, research, sustainability, and big data optimization.

Optimizing portfolios (linear combinations of shares) based on stochastic continuous-time models is notoriously difficult. We architect a collection of neural networks and regression estimates to approximate the optimal portfolio allocation of any number of shares based on perceived fair price-informed by current sentiment, historical performance, and competitor performance. We also architect a means to divide the market and train on smaller segments whilst retaining a characteristically high degree of accuracy. This model is of particular significance by virtue of its characteristically low training time and nano-second scale queries.