In response to the low efficiency of information collection and the lagging efficiency of fault diagnosis, this study constructed a power user electricity information collection system including terminal device layer, gateway interface layer, front-end processor, and front-end processor application layer. A data collector based on STM32F103RBT6 chip was designed, and edge devices were improved. The collection system has built-in monitoring and fault diagnosis functions, which can achieve external communication of various data and improve data collection capabilities. The experiment shows that the collection accuracy of the method in this study is 95%, which is 20% higher than the method in literature three.

1.INTRODUCTIONLateral medullary Syndrome(LMS) also known as Wallenberg’s syndrome or posterior inferior cerebellar artery (PICA) syndrome was initially described by Gaspard Vieusseux in 1808 and later by Adolf Wallenberg in 1895(1). It is usually caused by a cerebrovascular accident usually due to atherosclerosis or embolism of the vertebral artery or the posterior inferior cerebellar artery (PICA) resulting in damage to the lateral part of the medulla oblongata(2, 3).Patients with this condition could clinically present with nausea and vomiting, vertigo, headache, dysarthria, dysphagia, ipsilateral Horner syndrome, nystagmus, cerebellar ataxia and crossed sensory disturbance(4). Dysphagia has significant clinical importance as it has increased risk of aspiration, malnutrition, prolonged hospital stays, and mortality(5).The management approach towards dysphagia in LMS is aimed at treating the dysphagia in stroke patients with modern techniques being used globally(1). In this case report we present the journey of an eighty-year-old male with a history of hypertension presenting with a sudden onset of difficulty of swallowing. Then he was thoroughly investigated for possible local causes of dysphagia before the final diagnosis was settled with a brain MRI.This unique case report highlights the importance of high index of suspicion in isolated cases of dysphagia without other localizing signs and symptoms.

The use of animals in scientific research has sparked productive and important debates. To encourage an informed exchange of ideas and prevent misinformation, this literary work presents arguments in favor of animal research, particularly in the field of neuroscience. Through a literary approach, it supports the premise that animal research is essential for advancing medical science, offering crucial insights into biological and cognitive processes that cannot be replicated otherwise, ensuring both safety and efficacy---while also acknowledging the ethical and moral dilemmas that researchers may face.

Based on the different failure modes of FRP composites under random vibration fatigue loading, FRP composites are categorized into brittle and ductile types. The study summarizes the damage evolution patterns of these two types of FRP composites under random vibration fatigue loading, with matrix cracking and delamination being the primary damage modes. A new model is proposed to describe the degradation of natural frequency in FRP composites under random vibration fatigue loading, quantitatively accounting for the effects of different damage modes on natural frequency reduction. The applicability of the model is validated using random vibration fatigue test data from two materials of different characteristics: 2D woven ceramic matrix C/SiC composites and 2D woven glass fiber resin-based composites. The results indicate that this model accurately describes the natural frequency degradation behavior of FRP composites under random vibration fatigue loading.

Objective: To investigate the effects of aspirin on the distribution of birthweight and its impact on the rates of large-for-gestational age (LGA) neonates. Design: Secondary analysis of the Combined Multimarker Screening and Randomized Patient Treatment with Aspirin for Evidence-based Preeclampsia Prevention (ASPRE) trial. Setting: Thirteen hospitals in England, Spain, Belgium, Greece, Italy, and Israel. Population: Participants of the ASPRE trial at increased risk of preterm pre-eclampsia (PE) who had a live birth. Methods: We compared the birthweight distributions and the rates of LGA neonates between the trial groups. Analyses were stratified according to the presence of pre-existing diabetes mellitus and the development of pre-eclampsia, and logistic regression was used to investigate independent predictors of LGA neonates. Main Outcome Measures: Birthweight distribution and rate of LGA neonates. Results: Among 1,571 singleton, live neonates (777 from the aspirin group and 794 from the placebo group), aspirin was associated with a shift in birthweight from below 2,500 to between 2,500 and 4,000 grams, and birthweight percentile from below the 25 th to between the 25 th and 75 th percentiles, with no significant increase in LGA neonates (5.5% vs. 6.2%, p=0.667). Logistic regression demonstrated a significant interaction between treatment and pre-existing diabetes (p-value 0.034), and a positive association between maternal weight and LGA neonates (adjusted odds ratio 1.040, 95% confidence interval 1.030 – 1.051, p<0.001). Conclusions: Aspirin use is associated with increased birthweight without increasing the rate of LGA neonates. Among women with pre-existing diabetes, however, aspirin may lead to a higher rate of LGA neonates.

A document by Kamal Acharya. Click on the document to view its contents.

When selecting a habitat for breeding and offspring rearing, it is optimal for organisms to select a stable habitat with high amounts of quality resources. However, organisms may inadvertently select a habitat for breeding that would initially appear preferential and healthy but may, in reality, be detrimental to parent and/or offspring fitness. Such ecological traps may even be the result of human habitat modification and conservation efforts. In this study, we tested whether migratory European pied flycatcher (Ficedula hypoleuca) offspring cavity-nesting in patches of forest affected by outbreaks of the great web-spinning sawfly (Acantholyda posticalis) incurred fitness detriments characteristic of ecological traps when compared to flycatchers that nested in patches of unaffected forest. Outbreaking sawfly larvae overconsume Scots pine (Pinus sylvestris) needles and substrate, which decreases resource availability directly and indirectly – through cascading effects – for birds inhabiting the forest. In installing nest boxes to attract breeding pairs and potentially combat the outbreak, we found that flycatchers inhabiting areas of sawfly outbreaks had similar clutch sizes to pairs breeding in healthy forest patches. Contrarily, the fledgling number and body condition were significantly lower for those nesting in the damaged forests. Though larvae serve as the primary food source for nestlings, the forest patches damaged by sawflies also had lower larval biomass from rapid resource decline due to overconsumption. In provisioning nest boxes for migrating flycatcher pairs in forest patches that were subsequently impacted by a pest insect outbreak, an ecological trap arose for those pairs choosing to nest in what appeared to be an unaffected forest at first. Given the inability of breeding pairs to distinguish habitat quality on initial inspection, we suggest that nest boxes be used with caution in areas with unstable habitat conditions when attracting migratory birds given the trends of their declining global numbers.

Avian haemosporidians are a diverse group of parasites that infect birds worldwide and have been a major focus of research for decades. Yet, few studies have identified the drivers of infection at the intraspecific host level. We aimed to study the drivers of prevalence and diversity of haemosporidian parasites infecting a common North American songbird species, the American Robin (Turdus migratorius), which breeds across most of the continent. We found little seasonal variation in haemosporidian prevalence in robins, although prevalence of Leucocytozoon increases with breeding latitude in this host species. We also detected a significantly positive relationship between the robin breeding latitude and coinfection with different haemosporidian parasite lineages. Additionally, robins infected with Plasmodium had a significantly better body condition than those of uninfected robins, which could be due to migratory culling. When matched against known haemosporidian lineages, our results suggest that robins harbor a higher diversity of haemosporidian parasites than previously known. The results of this study suggest that comparisons of common, widespread bird species such as robins across their range could help unveil novel aspects of the haemosporidian–host relationship and how such a relationship may change under current and future rapid environmental change.

Estimating unreported cases of Covid-19 in a region or country presents a significant challenge, specially when they do not coincide with asymptomatic cases. This paper introduces a mathematical extension to deterministic models of total case growth, designed to describe the temporal evolution of unreported cases for each reported case of Covid-19. The proposed expression accounts for the growth of unreported cases in flat regions and their decline towards the end of an epidemic wave. We apply this extension to both a Gompertz growth model and a generalized Richards model, fitting these models to data from 30 countries/regions using Bayesian methods. The results show that fits from the extended models outperform those from the standalone Gompertz and generalized Richards models, as evidenced by superior values in the Bayesian Information Criterion (BIC) and R 2 metrics. In conclusion, the extended models offer a more accurate depiction of Covid-19 epidemic wave progression and provide short-term predictions of epidemic trends and criteria for identifying the end of an epidemic wave.

The deployment of sophisticated language generation models has enabled remarkable progress in generating contextually relevant and coherent responses across various applications, yet challenges persist in maintaining coherence over extended interactions, especially in scenarios requiring context retention across multiple conversational turns. The novel approach presented here, termed Neural Cascade Decoding, introduces a hierarchical decoding mechanism designed to iteratively refine generated outputs by capturing both immediate and overarching contextual cues, ultimately enhancing logical consistency. Experimental results across diverse datasets demonstrate significant reductions in perplexity and error rates, alongside notable improvements in response coherence and contextual accuracy, which collectively demonstrate the mechanism's effectiveness. Furthermore, while the addition of Neural Cascade Decoding marginally increases computational resource requirements, the trade-off is justified through substantial gains in contextual fidelity, highlighting the potential for broader applications in dialogue systems and other high-stakes language tasks. The findings from this study contribute a refined framework for decoding that not only advances the technical boundaries of language model architectures but also offers a practical solution to context-related limitations commonly encountered in interactive AI systems.

Background: Non-small cell lung cancer (NSCLC) accounts for the majority of all lung cancer cases. Causes of NSCLC are typically identified through molecular testing for EGFR and other mutations. Around half of Asian patients with NSCLC, particularly non-smoking women, have EGFR mutations. Most patients with ipsilateral NSCLC typically have a single common EGFR mutation in exons 18-21. It is extremely rare for patients with bilateral primary NSCLC to harbor two different EGFR mutations. Case summary: We present a 70-year-old non-smoking Vietnamese patient diagnosed with early bilateral primary NSCLC with the presence of EGFR in both exon 18 and exon 19. The complexities of diagnosis and treatment for this case resulted in surgical intervention on the left lung and targeted therapy with afatinib for the right lung. Progression arrest was observered in a period of 12 months. Conclusion: This case highlights a rare instance of synchronous bilateral NSCLC in a non-smoking, 70-year-old Vietnamese woman with complex management, underscoring the challenges of treating synchronous primary tumors with different genetic profiles.

Being a teacher is not a simple task but rather a practice of patience, forbearance, and commitment to the profession and professional ethics. But before becoming an enhanced and effective classroom teacher, one must undergo a Teaching Internship or deployment. This study aims to determine the perceptions of the Training Establishment Institute (TEI) and the Host Training Establishment(HTE), the significant differences, and the best practices in the implementation of the Teaching Internship Program during the deployment phases and adapt from the best practices implemented by the respondent Private and Public Higher Education Institutions offering Teacher Education Courses. The data gathered were tallied and analyzed using descriptive methods. To answer the extent of implementation, weighted mean and ranking were used, while for the differences in the extent of implementation of the Teaching Internship Program between private and public, a t-test was used. Findings showed a high level of implementation in the deployment phases, and there are no significant differences in the performance of the teaching internship program in private and public HEIs in the province. For pre-deployment, private HEI has a greater mean of 3.73, while the public HEI has a mean of 3.64. In the deployment phase, private has a greater mean of 3.66 than the mean of the public HEI, which is 3.57. For post-deployment, private schools have a 3.68 mean, which is also greater than the mean of public schools, which is 3.61. Recommendations were proposed in the deployment phases of the Teaching Internship Program.

Correspondence: The Influence of Mass Cytometry on Farm Dust-Induced Protection Against Childhood AsthmaJu-Ching Yen1, Nian-Rong, Wu1Su-Boon Yong MD, PhD 2,3,4 Chin-Yuan Yii5 MD, Chien-Heng Lin 6,7School of Medicine, China Medical University Hospital, Taichung, TaiwanDepartment of Allergy and Immunology, China Medical University Children’s Hospital, Taichung, TaiwanResearch Center for Allergy, Immunology, and Microbiome (A.I.M.), China Medical University Hospital, Taichung, Taiwan.Department of Medicine, College of Medicine, China Medical University, Taichung, TaiwanDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Landseed International Hospital, Taoyuan, TaiwanDivision of Pediatric Pulmonology, China Medical University Children’s Hospital, Taichung, Taiwan;Department of Biomedical Imaging and Radiological Science, College of Health Care, China Medical University, Taichung, Taiwan.

Salvia moorcroftiana is a medicinal plant found in the Himalayan mountainous range, common in the Kashmir Valley, traditionally used to cure various ailments. In this study GCMS, GCGCTOFMS and LCMS/QTOF/Orbitrap spectroscopic techniques were used for comprehensive phytochemical profiling of seed oil obtained through hexane extraction. Additionally, in vitro antioxidant, anticancer activities, Thermogravimetry cum Differential thermal analysis (TGADTA) and amino acid profiling were evaluated. The seed oil revealed linoleic acid as major phytochemical through GCMS (84.94%) and GCGCTOFMS (29.36%). High Resolution Liquid Chromatograph Mass Spectrometer detected presence of phenolic, flavonoid, monoterpenoid, sphingolipids, coumarins, fatty acid derivatives compounds. Seed oil was found to be moderate for radical scavenging potential with IC 50 values of 206.79µg/ml,199.04 µg/ml and 171.72µg/ml in DPPH, ABTS and FRAP scavenging assays and total antioxidant capacity was 92+4.79 (mg AAE/g dw). The phenolic (TPC=32.11±2.43 mg GAE/g dw) and flavonoid (TFC=15.34±3.71 mg RE/g dw) contents of the seed oil were also assessed. The seed oil demonstrated strong in vitro anticancer activity against HCT-116 (GI 50=26.38 µg/ml), HeLa (GI 50=28.89 µg/ml), MCF-7(GI 50=31.60 µg/ml) and A-549 (GI 50=46.82 µg/ml) cancer cell lines, was carried by MTT assay. The seed oil comparatively showed less cytotoxicity with GI 50 value of 140.12 µg/ml towards normal cell line (L-929). DAPI and Rhodamine 123 dyes confirmed disruption and alteration of nucleus and mitochondria in cancer cell lines. TGADTA evaluation supports optimum thermal stability and degradation patterns of seed oil. Essential amino acids like isoleucine, phenylalanine, threonine, and tryptophan among others were present in seeds. This study presents a potential future strategy to drive the pharmaceutical, nutraceutical benefits from seeds of Salvia moorcroftiana.

Introduction: Pediatric asthma exacerbations sometimes require aggressive intervention including continuous albuterol, a cornerstone therapy for reversing airway obstruction. However, pediatric dosing typically follows adult guidelines, with limited evidence for specific dosing ranges. This study aimed to compare the clinical outcomes of a reduced initial dose (10 mg/hr) of continuous albuterol with a standard dose (15 mg/hr) in children hospitalized for critical asthma exacerbations. Methods: This retrospective cohort study was conducted at Riley Hospital for Children, analyzing pediatric patients (ages 2-18) admitted with critical asthma exacerbations between 2014 and 2022. Stabilized inverse probability weighting (SIPW) was used to adjust for confounding factors between groups. The primary outcome was the percentage change in the Pediatric Asthma Severity Score (PASS) at 24 hours, with secondary outcomes including the duration of continuous albuterol, PICU length of stay, and hospital length of stay. Results: Analysis of 1,486 encounters revealed no significant difference in percent PASS changes at 24 hours between the 10 mg/hr and 15 mg/hr groups (Additive Treatment Effect of 1.69, 95% CI: -0.93-4.31, p = 0.207). PICU and hospital lengths of stay were also similar. However, the 10 mg/hr group showed a significantly shorter duration of continuous albuterol therapy compared to the 15 mg/hr group (Multiplicative Treatment Effect of 1.29, 95% CI: 1.14-1.45, p < 0.001). Conclusions: Findings suggested that starting continuous albuterol at 10 mg/hr provides clinical outcomes comparable to 15 mg/hr in managing pediatric critical asthma exacerbations. A lower starting dose may optimize resource use and reduce treatment-related adverse effects.

In order to solve the problem of water pollution caused by the accumulation of ammonia nitrogen, the fungus can degrade ammonia nitrogen efficiently and tolerate salt was isolated from the saline land of Shanyin County, Shuozhou, Shanxi Province, China. The fungus was identified as Fusarium sp. and named X-8 by morphological observation and ITS sequence homology analysis, and further analysed the effects of single and multi factors on the degradation of ammonia nitrogen under different environmental conditions (temperature, pH, inoculum amount, initial ammonia nitrogen concentration, salt concentration, C/N), and carried out three-factor, three-level orthogonal tests. The results showed that the degradation rate of ammonia nitrogen by X-8 could reach 93.47% when the temperature was 37.37℃, pH was 8.12, and the inoculum amount was 4.72 g/L.

With the construction of large-capacity long-distance high-voltage direct current transmission projects and the large-scale integration of renewable energy, the frequency security of the power system is facing severe challenges. For fast and accurate online assessment of frequency security, a data-driven frequency security assessment model based on Generative Adversarial Network(GAN) and Metric Learning(ML) is proposed. Firstly, the key frequency security indicators are selected as the outputs of the model, and the input feature set is constructed; Then, the Wasserstein Generative Adversarial Network(WGAN) technique based on Wasserstein distance metric is applied to learn the distribution information of historical operation scenarios of power systems, to generate operation scenarios covering typical operation modes to build the training sample set; Finally, considering the inapplicability of a single machine learning model to frequency security assessment under complicated operation modes of power systems, a combined assessment model for frequency security assessment composed of multiple sub-models is constructed based on Metric Learning for Kernel Regression (MLKR) method. Finally, a simplified Shandong power system example is used to verify the effectiveness of the proposed method.

The release of synaptic vesicles (SVs) at the synaptic junction is a complex process involving various specialized proteins that work in unison. Among these, Bassoon has emerged as a significant protein, particularly noted for its association with various neurological and aging-related diseases. Due to its structural and functional roles, Bassoon has become a focus of recent research, especially in understanding its implications in neurodegenerative and psychiatric disorders. In this narrative review, we explore Bassoon’s structure, function, and its role across a spectrum of neurological disorders. Neurotransmission is a tightly regulated process that relies on specialized structures within the presynaptic terminal, such as the presynaptic active zone (AZ), to precisely control SV release in response to incoming signals. The AZ comprises a complex network of large, multidomain proteins, with Bassoon playing a crucial role in this arrangement. Bassoon facilitates the tethering and reloading of SVs, ensuring responsiveness to high-frequency signals, while also maintaining proteostasis at the presynapse. This involves orchestrating the localization of proteins essential for neuronal development and plasticity. Bassoon’s large size and unique structural features enable it to interact with and regulate the function of multiple proteins, making it integral to presynaptic functioning. Variants in the Bassoon gene have been linked to a variety of neurodegenerative and psychiatric conditions, including Progressive Supranuclear Palsy, multiple system atrophy (MSA), epilepsy, schizophrenia, bipolar disorder, and Parkinson’s disease. This review delves into Bassoon’s pivotal role in preserving presynaptic integrity and how disruptions in its functions may contribute to these disorders.

In this paper, we discuss the development and deployment of a robust autonomous system capable of performing various tasks in the maritime domain under unknown dynamic conditions. We investigate a data-driven approach based on modular design for ease of transfer of autonomy across different maritime surface vessel platforms. The data-driven approach alleviates issues related to a priori identification of system models that may become deficient under evolving system behaviors and/or shifting, unanticipated, environmental influences. Our proposed learning-based platform comprises a deep Koopman system model and a change point detector that provides guidance on domain shifts prompting relearning under severe exogenous and endogenous perturbations. Motion control of the autonomous system is achieved via an optimal controller design. The Koopman linearized model naturally lends itself to a linear–quadratic regulator (LQR) control design. We propose the C3D control architecture “Cascade Control with Change Point Detection and Deep Koopman Learning”. The framework is verified in station keeping tasks on an ASV in both simulation and real experiments. The approach demonstrated a consistent improvement in mean distance error across all test cases compared to the methods that do not consider system changes.

Strategies to combat monkeypox; A public health emergency of international concernEhtisham Shafique1, Farakh Javed*1, Afsheen Tajummal1, Muhammad Fozan1, umm e Habiba1Department of Biological & Health Sciences, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Mang, Haripur, Pakistan.

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the degeneration of dopaminergic neurons in the substantia nigra and striatum, leading to debilitating motor symptoms. Emerging evidence suggests a significant role of neuroinflammation in PD pathogenesis, particularly through the upregulation of inflammatory cytokines. However, the causal relationship between inflammatory mediators and PD remains unclear. This study employs a bidirectional Mendelian randomization (MR) approach to investigate the potential causal associations between circulating levels of 91 inflammatory cytokines and PD. Genetic variants from genome-wide association studies (GWAS) were utilized as instrumental variables to assess the causal impact of PD on specific inflammatory markers, including CD6, IL-17A, and TNFRSF9. Our findings demonstrate that genetically increased levels of CD6, IL-17A, and TNFRSF9 are significantly associated with an elevated risk of PD. Specifically, CD6 was found to be linked with T-cell activation and immune responses in the central nervous system, while IL-17A was implicated in exacerbating neuroinflammation and dopaminergic neuron loss. TNFRSF9, a member of the tumor necrosis factor receptor family, showed associations with cognitive decline in long-term PD progression. These results underscore the critical role of immune-mediated pathways in PD development and suggest that targeting inflammatory cytokines may offer new therapeutic avenues for disease management. The robustness of our results is supported by extensive sensitivity analyses, including inverse variance weighting, MR-Egger, and MR-PRESSO models. Our study provides strong evidence for the involvement of specific inflammatory markers in PD etiology and highlights the need for further research to explore these pathways in diverse populations.

To analyze the molecular epidemiological characteristics of influenza viruses in influenza-like cases in Chongqing Hi-Tech Zone, China, to provide data support and a scientific basis for optimizing influenza prevention and control strategies in the region. A retrospective analysis was conducted on the molecular epidemiological characteristics of influenza viruses in influenza-like cases at a hospital in Chongqing Hi-Tech Zone from 2021 to 2024. Colloidal gold detection of viral antibodies, fluorescent PCR detection of nucleic acids, and gene sequencing were used to identify the different subtypes. Among 39,986 ILI specimens tested using the immunocolloid gold method, 6,616 influenza viruses were detected, with a detection rate of 16.54%. Infections included 4,464 influenza A viruses (67.50%), 2,033 influenza B viruses (30.73%), and 119 co-infections of influenza A and B viruses (1.77%).In this region, H3N2 was the predominant subtype of influenza A, and Victoria was the main subtype of influenza B. Influenza epidemics in the winter and spring seasons in Chongqing Hi-Tech Zone were predominantly caused by influenza A, with influenza B also circulating. Influenza A strains were mainly H3N2, while influenza B strains were primarily Victoria.

In the ever-evolving world of education technology (EdTech), open-source solutions like Linux are proving to be game-changers. Linux, known for its flexibility, security, and cost-effectiveness, offers numerous benefits that EdTech companies should leverage to enhance learning experiences and streamline operations. Here’s why embracing Linux could be a strategic move for EdTech providers.1. Cost-EffectivenessOne of the most compelling reasons for adopting Linux in EdTech is its cost efficiency. Unlike proprietary operating systems that require expensive licenses, Linux is open-source and free to use. This allows educational institutions to allocate more resources towards educational tools and content rather than software licenses. For startups and small EdTech companies, this cost-saving can be a significant advantage.2. Customization and FlexibilityLinux’s open-source nature allows for extensive customization. EdTech companies can tailor the operating system to fit their specific needs, whether it’s optimizing for performance in a virtual classroom setting or creating a lightweight OS for older hardware. This flexibility ensures that EdTech solutions can adapt to diverse educational environments, enhancing both teaching and learning experiences.3. Security and StabilitySecurity is a critical concern in the EdTech sector, especially with the increasing reliance on online platforms. Linux is renowned for its robust security features, including strong community support that regularly updates and patches vulnerabilities. Its stability ensures minimal downtime, which is crucial for maintaining uninterrupted educational services.4. Promoting Digital LiteracyIntegrating Linux into EdTech also promotes digital literacy. Students exposed to open-source environments learn valuable skills such as coding, system administration, and troubleshooting. These competencies are increasingly in demand in the job market, giving students a competitive edge.5. Community Support and CollaborationThe open-source community surrounding Linux is vibrant and collaborative. This ecosystem provides EdTech companies with access to a wealth of shared knowledge, resources, and support. Engaging with this community can foster innovation and enable quicker problem resolution.Yellow Tail Tech, a leader in EdTech, exemplifies the advantages of integrating Linux into educational frameworks. By focusing on Linux system administration and cloud technologies, Yellow Tail Tech helps individuals from non-technical backgrounds transition into lucrative tech careers. Their programs not only teach essential technical skills but also emphasize the importance of open-source technologies in today’s IT landscape.Yellow Tail Tech is an excellent resource for anyone looking to understand the practical applications of Linux in the EdTech sector. Their approach underscores how Linux can be a cornerstone in building a resilient, cost-effective, and innovative educational technology infrastructure.Linux offers an unmatched combination of cost savings, security, flexibility, and educational value. For EdTech companies aiming to provide cutting-edge learning experiences while managing costs and enhancing security, embracing Linux is a logical step. As Yellow Tail Tech demonstrates, integrating open-source technologies can pave the way for transformative educational solutions, equipping students with the skills needed for a tech-driven future.

A document by Kudratdeep Aulakh. Click on the document to view its contents.