In the present study, we analyzed the role played by the apoplast in the crosstalk between biotic and abiotic stress conditions. In particular, we studied the crosstalk between nitrogen (N) limitation and infection of the model plant Arabidopsis thaliana by E. amylovora, an apoplastic bacterium . Our previous findings indicated that low N (LN) conditions increase E. amylovora in planta titers and expression of virulence factors . In this work, we extracted the apoplast wash fluids (AWF) from plants grown under low N or high N (HN) conditions and applied them to bacteria in vitro. We observed that LN-AWF induced stronger virulence gene expression than HN-AWF. Metabolomic analysis of both apoplast extracts revealed the presence of common metabolites, however, their proportions were distinct, indicating a direct effect of N availability on apoplast content. Interestingly, changes in the apoplast metabolite proportions were also observed early after bacterial infection, but only in plants grown under LN conditions. To evaluate the effect of single metabolites on virulence gene expression, we selected 43 metabolites and observed that 29 of them were activators whereas two, GABA and citrate, acted as repressors. This study shows that environmental constraints, such as N availability, impact plant-pathogen interactions by altering the apoplastic content.

Neuroinflammation plays a significant role in pathogenesis of hepatic encephalopathy (HE). Radiotracer [18F]PBR146 is used for in-vivo imaging of neuroinflammation. Bifidobacterium (BIF) and fecal microbiota transplantation (FMT) are emerging as promising therapeutic approaches for HE. The objective of this study was to monitor and compare the treatment efficiencies of BIF and FMT on neuroinflammation in chronic HE rats [bile duct ligation (BDL) operation] by [18F]PBR146 micro-PET/CT. Thirty rats were divided into Sham+NS, BDL+NS, BDL+BIF, and BDL+FMT groups. Behavioral assessments, fecal samples collections, and micro-PET/CT scans were conducted sequentially following the successful establishment of the chronic HE model. The study analyzed average %ID/g values of whole brain, brain regions, and main organs across each group, complemented by biochemical and pathological analysis. Behavioral results, IL-1β, IL-6, IL-10, and TNF-α levels showed no significant differences among four groups. Although there was no significant difference in global brain uptake values of [18F]PBR146 among four groups (P=0.053), regional brain comparisons revealed significant discrepancies in bilateral accumbens, retrosplenial cortex, posterior hippocampus, left striatum, cingulate cortex, right frontal association cortex, and antero-dorsal hippocampus (all P<0.05). Sham+NS group was mainly enriched with Parasutterella, Streptococcus, and Anaeroplasma, the BDL+FMT group with Enterococcus, Aestuariispira, Lactobacillus, Pseudomonas, and Globicatella, and the BDL+BIF group with Enterorhabdus. The results suggested that BIF had inhibitory effect on neuroinflammation in BDL rats, whereas FMT did not demonstrate positive effects on the chronic HE model rats, might because of dysbiosis. [18F]PBR146 could effectively and noninvasively monitor the efficacy of gut-targeted treatment in chronic HE model.

Although vertigo is a recognized complication of SARS-CoV-2 infection, its correlation with altered brain function remains unexplored. In this study, we utilized resting-state fMRI to investigate the cerebellum in eight patients experiencing persistent central vertigo following COVID-19, comparing them to 16 healthy controls. We conducted a whole-brain voxel-wise analysis, followed by a cerebellar map-based analysis, revealing significant between-group differences in Amplitude of Low-Frequency Fluctuations (ALFF), Regional Homogeneity (ReHo), and functional connectivity (FC), all localized to the cerebellum. We observed that the vertigo group, among other changes, showed reduced synchronization of neural activity in the flocculonodular lobe, a cerebellar region crucial for coordinating balance and eye movements. Next, we applied a machine learning algorithm to determine whether cerebellar changes related to SARS-CoV-2 exhibited distinct patterns, enabling effective classification of study participants as either vertigo-affected or healthy. The algorithm demonstrated outstanding discriminatory power with an average Area Under the Curve score of 0.901 (95% CI: 0.894 - 0.908). Consequently, we employed the SHapley Additive exPlanations approach to explain which factors were mostly responsible for our algorithm’s performance. Interestingly, we found that, rather than changes to the flocculonodular lobe, heightened neural activity in cerebellar regions associated with motor imagery, self-projection, and spatial simulation was of gratest impotance for our model. Nevertheless, incorporating data from additional cerebellar regions, analyzed using various other methods such as fractional ALFF, ReHo, and FC, further enhanced its capability, highlighting the complexity and multifaceted nauture of SARS-CoV-2-related changes.

The intricate relationships between parasites and their hosts, which influence behavior and phenotype through various means, represent an intriguing ecological phenomenon. However, the molecular mechanisms governing such regulation remain incompletely understood. This study aimed to shed light on this phenomenon by focusing on the parasitic fungus Metarhizium anisopliae and its host Sogatella furcifera, as a model for investigation. The parasitic fungus was observed to modify the feeding behavior of S. furcifera, causing it to shift its preference from specific virus-infected rice plants to random feeding. Examination of S. furcifera’s antennae using scanning electron microscopy (SEM) revealed several major types in sensilla, including sensilla auricillica, sensilla trichoidea A, sensilla trichoidea B and Sensilla chaetica, with no distinctions between males and females. Furthermore, infection by M. anisopliae led to decreased expression of olfactory-related genes in S. furcifera, which correlated with the observed change in feeding behavior, indicating a potential olfactory response to the fungus. Knocking down specific genes, including chemosensory proteins (CSP1) and sensory neuron membrane proteins (SNMP2), inhibited S. furcifera’s preference for the odor of virus-infected rice plants, similar to the response after fungal infection. These findings suggest that the parasitic fungus may influence the insect host’s olfactory behavior towards plant volatile attractants by regulating olfactory genes, offering new insights into understanding parasite-host interactions and proposing potential strategies for controlling target insect pests using a combination of fungus and chemical odorants.

Guyuan cattle are located in the transitional zone between the northwest and north of China, as well as near the transitional zone between the north and sout of China. As a result, Guyuan cattle inhabit a transitional zone between semi-arid and semi-humid climate, featured by warm, humid summers and cold, dry winters, where admixture between taurine and indicine cattle has occurred. Nucleotide diversity, breed-specific single-nucleotide polymorphisms, linkage disequilibrium decay and regions of homozygosity suggested that the genomic diversity of Guyuan cattle was intermediate between those of taurine and indicine cattle. The signatures of selection in Guyuan cattle with excess taurine ancestry are associated with reproduction, immunity, body length, cold climate adaptation, pigmentation, muscle development, residual feed intake, and fat deposition. The signatures of selection in Guyuan cattle with excess indicine ancestry are associated with disease-resistance. Our study increases the understanding of the genetic resources of Guyuan cattle in the transitional zone between semi-arid and semi-humid region of China and provides valuable insights for genetic breeding programs that aim to leverage the breed complementarity and heterosis of taurine×indicine cattle.

Forest trees face threats from many insect pest species, underscoring the importance of understanding their defense mechanisms for survival. In a North American conifer species Picea glauca, white spruce, a defense-related gene, βglu1, is responsible for releasing phenolic compounds (acetophenones) to defend against its insect defoliator, Choristoneura fumiferana, the eastern spruce budworm. βglu1 is also expressed in a Eurasian conifer species Picea abies, Norway spruce, although no major insect defoliator is present within the species’ natural range. We compared range-wide variation of βglu1 transcript levels from foliage samples of P. glauca in North America and P. abies in Europe using RT-qPCR and targeted transcriptome sequencing. βglu1 transcript levels were highly correlated between the two methods, with wide ranges of variation being detected within and between populations in both species. We found a significant longitudinal gradient in βglu1 transcript levels in P. glauca, with one βglu1 gene form being differentially expressed across populations, but not in P. abies. The expression level differences in P. glauca are consistent with the historically higher C. fumiferana outbreak frequency and severity in eastern compared to western populations, with C. fumiferana defoliation severity being a significant explanatory variable for βglu1 transcript levels. Climate per se was not a significant explanatory factor in either species. Overall, these results enhance our understanding of potential adaptive variation in acetophenone defenses in P. glauca, while the factors influencing βglu1 transcript variation in P. abies require further investigation.

Cybersecurity faces a major challenge in the escalating sophistication of ransomware, which exploits vulnerabilities in critical systems and disrupts essential services across various sectors. Introducing an unprecedented approach, the Quantum-Layered Differential Analysis (QLDA) framework leverages quantum computing principles alongside differential pattern analysis to elevate ransomware detection to new standards of adaptability, accuracy, and speed. The QLDA framework is structured through a modular, multi-layered architecture, where quantum principles such as entanglement and superposition facilitate parallel data processing, allowing for the rapid detection of ransomware with minimized computational overhead. Experimental evaluations demonstrated QLDA's impressive detection accuracy of 97.8% and a notably low false-positive rate of 1.1%, outperforming traditional detection methods such as signaturebased and heuristic approaches. Furthermore, QLDA exhibited substantial scalability and efficiency, managing large datasets and adapting to previously unseen ransomware samples with a detection rate of 93.2%. These results affirm that QLDA offers a transformative enhancement in cybersecurity, providing a highly scalable and resilient method capable of identifying emerging ransomware threats in real-time, without reliance on pre-existing signature databases or heuristic rules. Through its novel integration of quantum computing and differential analysis, QLDA holds significant promise for advancing cybersecurity protections against ransomware within increasingly complex and dynamic digital ecosystems.

Herein, we report an electrochemical multicomponent one-pot cascade protocol for the synthesis of 4-selenylsulfonylpyrazoles from sulfonohydrazides, pentane-2,4-diones and diselenides under catalyst-, chemical oxidant- and electrolyte-free conditions. This method features good functional group tolerance, step economy, mild reaction conditions, environmental friendliness, easy operation with cheap reagents, scaled-up synthesis and high yields, providing a promising strategy to construct pyrazole derivatives containing selenium and sulfonyl, which is widely used in drugs, agricultural chemicals and biologically active compounds. Notably, the representative compound 1-((4-fluorophenyl)sulfonyl)-3,5-dimethyl-4-(phenylselanyl)-1 H-pyrazole 4jaa can inhibit the proliferation of human triple-negative breast cancer cells with an IC 50 value of 5.35 ± 0.76 μM. Moreover, the proposed mechanism is supported by control experiments and density functional theory calculations.

A document by Ahmad Afyouni. Click on the document to view its contents.

1. INTRODUCTIONThe paranasal sinuses include the ethmoid, frontal, sphenoid, and maxillary sinuses. These air-filled spaces in the maxillofacial and skull area are lined with mucosa and communicate with the nasal cavity (1). The maxillary sinuses start developing in the third month of intrauterine life, making them the first paranasal sinuses to develop in the human fetus (2). They continue to grow until puberty. The maxillary sinus typically has an average volume of 6-8 cm³, making it the largest paranasal sinus, though its size varies with age (3).Maxillary sinus aplasia (MSA) is a condition characterized by the absence of sinus development. This rare condition is often asymptomatic but can sometimes present as facial pain or headaches. Typically diagnosed incidentally during radiological procedures for other purposes, such as dental implants, MSA shows no gender or geographical predilection and can occur worldwide (4). MSA may occur in isolation or be associated with broader craniofacial syndromes like cleft palate, Crouzon syndrome, or Apert syndrome. While many individuals with MSA are asymptomatic, those with symptoms may experience nasal obstruction, sinus infections, or facial pain (5). Symptomatic management focuses on addressing related nasal or sinus issues, and surgical intervention is rarely needed, reserved only for specific complications or associated craniofacial abnormalities (6). Hypoplasia of the inferior concha and the absence of the infundibulum and uncinate process are rare anatomical variations that can significantly impact clinical outcomes, particularly in cases of MSA or other sinus anomalies (7). Often discovered incidentally during imaging, these conditions can be asymptomatic but may sometimes present with sinonasal symptoms like nasal obstruction or chronic sinusitis. Case reports highlight the association of these anomalies with impaired sinus function and recurrent infections, necessitating careful evaluation and tailored management strategies (8).Maxillary sinus hypoplasia (MSH) refers to the underdevelopment of the maxillary sinuses, where the sinus is present but smaller than normal. This condition can affect individuals of any age and gender and is often discovered incidentally (9). Symptomatic individuals may experience chronic or recurrent sinus infections, nasal obstruction, or facial pain, particularly in the cheek area. MSH can also be associated with other craniofacial anomalies or developmental conditions like cleft palate and craniosynostosis syndromes (10). MSH is classified into three types according to Bolger’s classification: Type I (mild hypoplasia), Type II (significant hypoplasia with an absent uncinate process), and Type III (profound hypoplasia with an absent uncinate process). CT scans are the gold standard for diagnosing MSH and MSA, with MRI also being useful (11). Symptomatic cases are treated with medical management, including antibiotics, nasal decongestants, and corticosteroids (9). For chronic or recurrent sinusitis unresponsive to medical treatment, functional endoscopic sinus surgery (FESS) may be considered to improve sinus drainage and ventilation. Asymptomatic cases do not require treatment. An incidental finding of unilateral maxillary sinus aplasia was reported during a radiographic examination (8, 9). We report an incidental finding of unilateral aplasia of the maxillary sinus during a radiographic examination.

The proliferation of Large Language Models (LLMs) has ushered in a transformative era in artificial intelligence, particularly within the realm of network security. These models demonstrate exceptional capabilities, from conducting code vulnerability audits to proposing solutions, significantly impacting decision-making processes in security. Ensuring the consistency and accuracy of security threat intelligence across models becomes a key challenge when sharing knowledge among different large models, especially in the context of deploying various Large Language Models for security purposes. This paper introduces dynamic incentive sharing mechanisms (DISM), an incentive mechanism crafted to foster the sharing of network threat intelligence among LLMs. Grounded in evolutionary game theory, DISM addresses the challenge of knowledge discrepancies among LLMs by promoting collaboration and seamless sharing of security threat intelligence. DISM formulates incentive strategies to mitigate free-riding behavior among participating LLMs. In conclusion, the effectiveness of DISM in promoting and regulating threat intelligence sharing was verified through experimental simulations and comparative analyses.

Successful Management of Type 1 Jejunal Atresia in a Premature NeonateMujtaba Yama 1 , Mohammad Shafiqi 1, Dunya Moghul 2.3 Afghan Arya Complex Hospital, Herat, AfghanistanMcGill University Faculty of Medicine and Health Sciences, Montreal, QC, CanadaDivision of Pediatric Surgery, Montreal Children’s Hospital, Montreal, QC, CanadaCorresponding Author: Dr. Dunya MoghulEmail address: dunya.moghul@mail.mcgill.caFull postal address: Harvey E. Beardmore Department of Surgery, McGill University Health Centre, 5252 Boul de Maisonneuve Ouest, Montréal H4A 3S5, QC, Canada

This paper investigates the mechanical behavior of soft elastomeric membranes under indentation by a rigid spherical object, with a particular focus on the failure mechanisms leading to puncture. The study examines both pristine membranes and those with pre-existing flaws, such as cracks, to explore how these imperfections affect the mechanical response and failure characteristics. An analytical axisymmetric model, based on a nonlinear solution for a hyperelastic, incompressible membrane, is presented. The prediction of the model are validated with experimental data obtained from indentation tests on silicone membranes. The study considers both stretch-based and energy-based criteria for fracture, providing insight into the conditions necessary for membrane failure and crack propagation.

We present two characterisations of quasiconvexity for radially semicontinuous mappings defined on a convex subset of a real linear space. As applications, we obtain an extension of Sion's minimax theorem and two characterisations of quasiconvex risk measures.

Humans are driving unprecedented environmental change, causing the loss of species from local ecosystems. This local species loss is likely to result in declines in ecosystem functioning, but understanding why these so-called biodiversity-ecosystem functioning relationships vary is crucial for conservation efforts. Previous studies have shown that variation among biodiversity-ecosystem functioning (BEF) relationships can be explained by a ’function-dominance correlation’, i.e., the correlation of species’ biomass in monoculture (‘functioning’) vs. mixtures (‘dominance’). One potential reason for the importance of the function-dominance correlation is its relationship to underlying plant traits. Here, we explore which traits control species’ biomass in monoculture and mixture and thereby drive the function-dominance correlation, and hence BEF relationships. To do this, we perform a modeling experiment with six trait-based models of plant community dynamics and classify model traits as either ‘size’ or ‘resource’ traits. This approach allows us to better generalize across systems that differ in terms of their key traits and/or how a given trait affects individual performance and ecosystem functioning. We found that size traits, but not resource traits, predicted species’ monoculture biomass in five out of the six models. However, in mixture, resource traits became more important and – in addition to size traits - explained substantial variation in species’ biomass in four models. In models where size traits were consistently important predictors of biomass variance in monoculture and mixture, the function-dominance correlation was high, and BEF relationships were strongly positive. Our analysis shows how generalizable categories of functional traits allow predicting BEF relationships across simulated systems, and thereby the potential effects of losing species on ecosystem functioning.

Three-dimensional (3D) bioprinting presents a transformative approach to replicating vivo-like environments for mammalian cell cultures, offering potential advances in bioproduction and tissue engineering. In this study, we investigated the growth, metabolic activity, and structural organization of four mammalian cell lines (HEK, MDCK, CHO, and Vero) in 3D bioprinted constructs. Our results demonstrate that even highly selected, immortalised cell lines can regain physiological traits closer to their native tissue when cultured in 3D environments. We observed significant shifts in proliferation kinetics, including reduced growth rates and reduced fermentative activity. A Design of Experiment (DOE) approach identified critical biofabrication parameters—such as hydrogel microporosity and consolidation conditions—that modulate cell behavior and proliferation in 3D matrices. These findings highlight the potential of 3D bioprinting not only for medical applications, such as regenerative medicine and drug testing, but also for enhancing bioproduction processes by supporting higher cell densities and metabolic efficiency. Our work underscores the importance of optimizing 3D culture conditions to mimic vivo-like behaviors and improve productivity, offering new insights into the scalability of bioprinted constructs for industrial applications.

Modification and deterioration of old-growth forests by industrial forestry have seriously threatened species diversity worldwide. The loss of natural habitats increases the concentration of circulating glucocorticoids and incurs chronic stress in animals, influencing the immune system, growth, survival, and lifespan of animals inhabiting such areas. In this study, we tested whether great tit (Parus major) nestlings grown in old-growth unmanaged coniferous forests have longer telomeres than great tit nestlings developing in young managed coniferous forests. This study showed that the patches of young managed coniferous forests had lower larval biomass than old-growth forests. Since insect larvae are the preferred food for great tit nestlings, the shortage of food may divert energy resources away from growth, which can show up as physiological stress, often raising the heterophil/lymphocyte (H/L) ratio. The H/L ratio revealed a significant difference in stress levels, being the highest in great tit nestlings developing in young-managed pine forests. We also found that the development of great tit nestlings in young managed forests had significantly shorter telomeres than in old-growth forests. Although nestling survival did not differ between the habitats, nestlings growing up in old-growth forests had greater telomere lengths, which can positively affect their lifespan. Our results suggest that the forest habitats affected by industrial forestry may represent ecological traps as the development of young birds in deteriorated environments can affect the age structure of populations.

Telomeres are DNA-protein complexes capping chromosomal ends to secure genomic integrity in all eukaryotes. Many genes are involved in telomere maintenance. Mutations in those genes lead to shortening and (rarely) to lengthening of telomeres that affect their functionality. In humans, telomere attrition is often linked to diseases. In addition to mutational events, many stress factors contribute to alteration of telomere length (TL). Budding yeast, Saccharomyces cerevisiae, is a very popular model species for studying telomere biology. Thermal stress was one of the first among discovered extrinsic factors causing telomere shortening. Temperature-induced decline in TL is known as Tmp - phenotype. This vivid phenomenon highlights possibilities to manipulate TL by exogenous factors. Here we show that mre11Δ mutants with very short telomeres do not generate Tmp - phenotype, while pif1Δ mutants possessing very long telomeres do generate it and reduce their TL to the level of TL in wild type (WT) cells grown under normal conditions. It was also observed that mre11Δ mutants exposed to elevated temperature (35 oC) altered their telomeric DNA patterns resembling those in type I survivors. These patterns are thought to result from recombinational processes within telomeric DNA. We discuss relevance of these findings to fundamental and applied research.

ARUN KUMAR RAMACHANDRAN SUMANGALA DEVIArchitect II- Software Testing UST Global Inc, Glen Allen, Virginia, USA

In dynamic wireless power transfer systems for smart rail trains, a high fluctuation rate of mutual inductance leads to reduced efficiency when an offset occurs between the transmitting and receiving coils. This paper explores the mutual inductance characteristics and the variation rule of magnetic induction strength between the transmitting coil and the receiving coil at offset. And proposes an I-shape coil structure. The I-shape coil structure has good anti-offset performance in the direction of motion, and the maximum offset distance is up to 1.2 times the outer length of the transmitting coil. First, the mutual inductance characteristics of this I-shape coil structure are investigated based on the coupling mechanism of the I-coil. Meanwhile, a mutual inductance optimization method is proposed, which is used to obtain the values of each coil parameter that satisfy the requirements. Secondly, the magnetic core optimization of the I-coil structure has been carried out to achieve higher mutual inductance and better transmission efficiency. Finally, a wireless power transfer system is constructed based on the obtained coil and magnetic core parameters. Simulation and experimental tests are carried out for this coil structure and the coil structure with magnetic core, respectively. The experimental results verify the rationality and correctness of the structure. The results show that the maximum mutual inductance fluctuation rate is only 4.97% in the coil structure without magnetic cores with the offset distance between the transmitting and receiving coils at 120% of the outer edge length of the transmitting coil. With the addition of the magnetic core, the maximum mutual inductance fluctuation is only 5.02% with an efficiency of 97.61% at an offset distance between the transmitting and receiving coils of 120% (50.8 cm) of the outer edge length of the transmitting coil.

not-yet-known not-yet-known not-yet-known unknown The Arctic has warmed nearly four times faster than the global average since 1979, resulting in rapid glacier retreat and exposing new glacier forelands. These forelands offer unique experimental settings to explore how global warming impacts ecosystems, particularly for highly cli-mate-sensitive arthropods. Understanding these impacts can help anticipate future biodiversity and ecosystem changes under ongoing warming scenarios. In this study, we integrate data on arthropod diversity from DNA gut content analysis—offering insight into predator diets—with quantitative measures of arthropod activity-density at a Greenland glacier foreland using Structural Equation Modelling (SEM). Our SEM analysis reveals both bottom-up and top-down controlled food chains. Bottom-up control, linked to sit-and-wait predator behavior, was prominent for spider and harvestman populations, while top-down control, associated with active search behavior, was key for ground beetle populations. Bottom-up controlled dynamics predominated during the early stages of vegetation succession, while top-down mechanisms dominated in later successional stages further from the glacier, driven largely by increasing temperatures. In advanced successional stages, top-down cascades intensify intraguild predation (IGP) among arthropod predators. This is especially evident in the linyphiid spider Collinsia holmgreni, whose diet included other linyphiid and lycosid spiders, reflecting high IGP. The IGP ratio in C. holmgreni negatively correlated with the activity-density of ground-dwelling prey, likely con-tributing to the local decline and possible extinction of this cold-adapted species in warmer, late-succession habitats where lycosid spiders dominate. These findings suggest that sustained warming and associated shifts in food web dynamics could lead to the loss of cold-adapted species, while brief warm events may temporarily impact populations without lasting extinction effects.

A document by Magnus Lindqvist. Click on the document to view its contents.

Unexpected Primaquine-Induced Hemolysis in a G6PD Normal Patient: A Case Report from NepalAarju Khadka1, Sachet Subedi2, Nisha Lama1, Indu Bhattarai1, Chandrashekhar Deuba1, Uttam Khatri1, Nisha Regmi11College of Medical Sciences Teaching Hospital2Tribhuvan University Institute of Medicine, Maharajgunj Medical Campus

not-yet-known not-yet-known not-yet-known unknown INTRODUCTION Wallenberg syndrome, initially documented in 1808 by Gaspard Vieusseux, received a more comprehensive delineation in 1895 from Adolf Wallenberg. He characterized it as an infarction that occurs in the lateral medulla oblongata due to occlusion of either the vertebral artery (VA) or the posterior inferior cerebellar artery (PICA). This syndrome is also known as lateral medullary syndrome (LMS) or posterior inferior cerebellar artery syndrome(1). looms as the leading brain stem ischemic stroke syndrome, although less frequent in occurrence compared to other stroke types. Among the cases of LMS, 75% are due to atherothrombotic events in large arteries, 17% originate from cardioembolism, and the remaining 8% arise due to vertebral artery dissection(2). The hallmark symptoms of LMS comprise pain and loss of temperature on the ipsilateral face and contralateral body, ipsilateral ataxia, vertigo, nystagmus, dysphagia, hoarseness, hiccups, and Horner’s syndrome(3). The clinical recognition of patients with LMS is of particular importance due to its association with vertebral artery dissection in 15 to 26% of cases and the favorable prognosis associated with optimal management(4). Brain magnetic resonance imaging serves as the cornerstone for diagnosis. Early recognition and the initiation of treatment lead to a favorable prognosis for this syndrome(5). We describe the case of a 42-year-old woman with LMS. Despite not receiving thrombolytic treatment, she experienced gradual recovery and achieved functional independence.