Ayurveda therapy in the management of epilepsy.

Epilepsy, a chronic non-communicable disease of the brain, is one of the most common neurological diseases globally that affects people of all ages. The existence of medical, neurological, psychiatric, and cognitive comorbidities has always undermined the available advanced treatment strategies for epilepsy. New-generation antiepileptic drugs being less successful in completely controlling the seizures and observance of complex diseases, including drug-resistant cases, have provided scope for integrating and incorporating the therapeutic modalities of Ayurveda, the ancient Indian art of holistic medicine, in the effective management of epilepsy. Epilepsy can be correlated to Apasmara, described in the classics of Ayurveda as the transient appearance of unconsciousness with loathsome expression due to derangement of memory, intelligence, and mind. The multifaceted therapeutic approach of Ayurveda, which involves pharmacologic and nonpharmacologic measures, purificatory and pacifying procedures, herbal and herbo-mineral formulations, disease, and host-specific approaches, have enhanced the potential of not only relieving symptoms but also modifying the pathophysiology of the disease. Newer paradigms of research in Ayurveda, along with holistic and integrative approaches with contemporary medicine, can not only benefit the existing healthcare system but also impact future healthcare management in epileptology research. This cursory literature review is an earnest attempt to identify, evaluate, and summarize various studies and provide a comprehensive insight into the potential of Ayurveda in understanding and treating epilepsy.

Predictors of acute kidney injury in dengue patients: a systematic review and meta-analysis.

BACKGROUND: Dengue infection poses a significant global health challenge, particularly in tropical and subtropical regions. Among its severe complications, Acute kidney injury (AKI) stands out due to its association with increased morbidity, mortality, and healthcare burdens. This Meta-analysis aim to identify and evaluate the predictors of AKI among dengue patients, facilitating early detection and management strategies to mitigate AKI's impact. METHODS: We searched PubMed, EMBASE, and Web of Science databases, covering literature up to February 2024. We included human observational studies reporting on AKI predictors in confirmed dengue cases. Nested-Knowledge software was used for screening and data extraction. The Newcastle-Ottawa Scale was used for quality assessment. R software (V 4.3) was utilized to compute pooled odds ratios (ORs) and 95% confidence intervals (CIs) for each predictor. RESULTS: Our search yielded nine studies involving diverse geographic locations and patient demographics. A total of 9,198 patients were included in the studies, with 542 diagnosed with AKI. in which key predictors of AKI identified include severe forms of dengue (OR: 2.22, 95% CI: 1.02-3.42), male gender (OR: 3.13, 95% CI: 1.82-4.44), comorbidities such as diabetes mellitus (OR: 3.298, 95% CI: 0.274-6.322), and chronic kidney disease (OR: 2.2, 95% CI: 0.42-11.24), as well as co-infections and clinical manifestations like rhabdomyolysis and major bleeding. CONCLUSION: Our study identifies several predictors of AKI in dengue patients. These findings indicate the importance of early identification and intervention for high-risk individuals. Future research should focus on standardizing AKI diagnostic criteria within the dengue context and exploring the mechanisms underlying these associations to improve patient care and outcomes.

Dengue Infection During Pregnancy and Adverse Birth Outcomes: A Systematic Review and Meta-Analysis.

Dengue is a rapidly spreading mosquito-borne viral disease, posing significant public health challenges in tropical and subtropical regions. This systematic review and meta-analysis aimed to evaluate the relationship between maternal dengue virus infection and adverse birth outcomes. A literature search was conducted in PubMed, Embase, and web of science databases until April 2024. Observational studies examining the association between laboratory-confirmed maternal dengue infection and adverse birth outcomes such as preterm birth, low birth weight (LBW), small for gestational age (SGA), stillbirth, and postpartum haemorrhage were included. Data were extracted, and risk of bias was assessed using the Newcastle-Ottawa Scale. Random-effects meta-analysis models were used to pool data in R software (V 4.3). Twenty studies met the inclusion criteria. The pooled prevalence of preterm birth among dengue-affected pregnancies was 18.3% (95% CI: 12.6%-25.8%), with an OR of 1.21 (95% CI: 0.78-1.89). For LBW, the pooled prevalence was 17.1% (95% CI: 10.4%-26.6%), with an OR of 1.00 (95% CI: 0.69-1.41). SGA had a pooled prevalence of 11.2% (95% CI: 2.7%-36.9%) and an OR of 0.93 (95% CI: 0.41-2.14). The prevalence of stillbirth was 3.3% (95% CI: 1.6%-6.8%), with significant associations found in some studies (RR: 2.67; 95% CI: 1.09-6.57). Postpartum haemorrhage had an OR of 1.97 (95% CI: 0.53-2.69). While maternal dengue infection was associated with a higher prevalence of preterm birth and LBW, the associations were not statistically significant. Significant associations were observed for stillbirth in specific studies. Further research with standardized methodologies is needed to clarify these relationships and identify potential mechanisms.

Classification of Parkinson's disease by deep learning on midbrain MRI.

Purpose: Susceptibility map weighted imaging (SMWI), based on quantitative susceptibility mapping (QSM), allows accurate nigrosome-1 (N1) evaluation and has been used to develop Parkinson's disease (PD) deep learning (DL) classification algorithms. Neuromelanin-sensitive (NMS) MRI could improve automated quantitative N1 analysis by revealing neuromelanin content. This study aimed to compare classification performance of four approaches to PD diagnosis: (1) N1 quantitative "QSM-NMS" composite marker, (2) DL model for N1 morphological abnormality using SMWI ("Heuron IPD"), (3) DL model for N1 volume using SMWI ("Heuron NI"), and (4) N1 SMWI neuroradiological evaluation. Method: PD patients (n = 82; aged 65 ± 9 years; 68% male) and healthy-controls (n = 107; 66 ± 7 years; 48% male) underwent 3 T midbrain MRI with T2*-SWI multi-echo-GRE (for QSM and SMWI), and NMS-MRI. AUC was used to compare diagnostic performance. We tested for correlation of each imaging measure with clinical parameters (severity, duration and levodopa dosing) by Spearman-Rho or Kendall-Tao-Beta correlation. Results: Classification performance was excellent for the QSM-NMS composite marker (AUC = 0.94), N1 SMWI abnormality (AUC = 0.92), N1 SMWI volume (AUC = 0.90), and neuroradiologist (AUC = 0.98). Reasons for misclassification were right-left asymmetry, through-plane re-slicing, pulsation artefacts, and thin N1. In the two DL models, all 18/189 (9.5%) cases misclassified by Heuron IPD were controls with normal N1 volumes. We found significant correlation of the SN QSM-NMS composite measure with levodopa dosing (rho = -0.303, p = 0.006). Conclusion: Our data demonstrate excellent performance of a quantitative QSM-NMS marker and automated DL PD classification algorithms based on midbrain MRI, while suggesting potential further improvements. Clinical utility is supported but requires validation in earlier stage PD cohorts.

Perceptions and Satisfaction of E-Health Applications: An Analytical Cross-Sectional Study in a Rural Health Center at Tiruvallur District, Tamil Nadu.

Introduction E-health, defined as the utilization of information and communication technologies for health services, has become integral in enhancing healthcare delivery and accessibility. This study focuses on user satisfaction and perceptions of e-health applications in rural health centers, with special focus on Tamil Nadu, India. E-health technologies have proven to be effective in addressing challenges to healthcare accessibility and improving patient outcomes, at reduced costs. Despite these benefits, there is a need to understand user experiences in rural settings to optimize the implementation of e-health solutions. Methods A cross-sectional study was conducted among 383 patients registered in a non-communicable disease (NCD) clinic and specialty clinic in the rural health center of a tertiary care hospital in Tiruvallur district. Participants were selected using a consecutive sampling method from the NCD and specialty clinic registers. A semi-structured questionnaire was used to collect data on their perception and satisfaction with e-health applications. Data was entered in (Microsoft) MS Excel (Microsoft Corporation, Redmond, Washington, United States) and analyzed using IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, New York, United States). Results The overall mean age was 49.45 ± 7 years. Among the study participants, females constituted 57.3% compared to males who constituted 42.7%. 58.3% of the participants had comorbid conditions. More than half of the study participants were educated up to the high school level. According to BG Prasad's classification, 86.9 % of the participants belonged to middle class and below. Among the study participants, more than half of them use their smartphones as devices for internet access to use e-health applications. The study participants who had no co-morbid conditions were 3.3 times the odds of having poor perception and satisfaction when compared to the other categories (OR = 3.3, CI = 2.1 - 5.1) in using e-health applications, and this difference was found to be statistically significant (p = 0.01). Conclusion This study's findings reveal that gender, socio-economic status, occupation, and the presence of comorbid illnesses play significant roles in shaping users' perceptions and satisfaction levels. This study's findings underscore the importance of tailored e-health interventions to address these barriers and enhance healthcare delivery in rural areas.

Antiphospholipid Syndrome and Catastrophic Antiphospholipid Syndrome: A Comprehensive Review of Pathogenesis, Clinical Features, and Management Strategies.

Antiphospholipid syndrome (APS) is an autoimmune disorder characterized by the presence of antiphospholipid antibodies (aPLs) that predispose individuals to thrombotic events and pregnancy-related complications. APS can occur as a primary condition or in association with other autoimmune diseases, most commonly systemic lupus erythematosus (SLE). Catastrophic APS (CAPS) is a rare, severe variant of APS, marked by rapid-onset, widespread thrombosis leading to multi-organ failure, often triggered by infections, surgical procedures, or cessation of anticoagulation therapy. Both APS and CAPS present significant clinical challenges due to their potential for severe morbidity and mortality. This comprehensive review aims to provide a detailed overview of the pathogenesis, clinical features, diagnostic criteria, and management strategies for APS and CAPS. The review highlights the immunological mechanisms underlying APS, including the role of aPLs, complement system activation, and endothelial cell dysfunction in developing thrombosis. It also outlines the clinical manifestations of APS, such as venous and arterial thrombosis, pregnancy morbidity, and neurological symptoms, along with the diagnostic criteria based on clinical and laboratory findings. The review delves into its pathogenesis, clinical presentation, and diagnostic challenges in the context of CAPS, emphasizing the need for immediate and intensive therapy to manage this life-threatening condition. Current management strategies for APS, including anticoagulant therapy, immunomodulatory treatments, and specific interventions for pregnancy-related complications, are discussed. The review highlights the importance of a multidisciplinary approach for CAPS, combining anticoagulation, high-dose corticosteroids, plasma exchange, and intravenous immunoglobulin. The review also addresses the prognosis and long-term outcomes for patients with APS and CAPS, underlining the necessity for ongoing monitoring and follow-up to prevent recurrent thrombotic events and manage chronic complications. Finally, future directions in research are explored, focusing on emerging therapies, biomarkers for early diagnosis, and the need for clinical trials to advance the understanding and treatment of these complex syndromes. By enhancing the understanding of APS and CAPS, this review aims to improve diagnosis, treatment, and patient care, ultimately leading to better health outcomes for those affected by these conditions.

Energy and throughput aware adequate routing for wireless sensor networks using integrated game theory method.

A Wireless Sensor Network (WSN) is usually made up of a large number of discrete sensor nodes, each of which requires restricted resources, including memory, computing power, and energy. To extend the network lifetime, these limited resources must be used effectively. In WSN, clustering constitutes one of the best methods for optimizing network longevity and energy conservation. In this work, we proposed a novel Energy and Throughput Aware Adaptive Routing (ETAAR) algorithm based on Cooperative Game Theory (CGT). To achieve the energy efficient and improved data rate routing in WSN, we are applied two game theories of CGT and coalition game. The main part of this routing mechanism is cluster head selection and clustering the nodes to perform energy efficient and throughput effective communication between the nodes. In first stage, CGT based utility function which adopts both energy and throughput is utilized to handpick the CH nodes. In the second stage, along with the energy and throughput, average end-to-end delay is considered for the adaptive time slot transmission to avoid collision in the coalition game approach. MATLAB tool is used for simulation. The simulation results shows that the proposed ETAAR protocol is outperforms than earlier works of routing in terms of residual energy, PDR, energy due ratio, average end-to-end delay, dead nodes. The network lifetime of 48% extension, energy saving of 60% and 52.5% of delay shortage attained in ETAAR.

Effect of rotational shear on the dielectric dispersion of a nematic liquid crystal above the Freedericksz threshold field.

Rheo-dielectric studies of soft materials provide important information on the dynamic structure and electric polarization. We study the dielectric dispersion of a nematic liquid crystal by applying a high AC probe field without a DC bias and a low AC probe field with a high DC bias under steady rotational shear. The dielectric anisotropy of the nematic is positive and the applied electric field is parallel to the velocity gradient with a magnitude larger than the Freedericksz threshold field. We find that the dielectric dispersion and the relaxation frequencies are strongly shear rate dependent. The analysis of the results based on a simple physical model shows that the effective dielectric constant of the nematic with non-uniform director tilt in the shear plane can be modelled as a series combination of parallel and perpendicular components. Our experiments demonstrate changes in dielectric dispersion are due to molecular reorientation under the influence of the competing effects of hydrodynamic and dielectric torques.

Agile soft template array fabrication of one-dimensional (1D) polyaniline nanocomposite fibers for hydrogen storage.

Polyaniline-Zn/V2O5 nanocomposites were prepared in the presence of toluene-4-sulfonic acid monohydrate as an anionic surfactant via an in situ oxidation polymerization method. The structural study of the nanocomposites was carried out using FTIR and XRD analysis, and their surface morphology was characterized through SEM analysis. The BET surface area of a 3 wt% nanocomposite was 386 m2 g-1, which is higher compared to that of PANI. The Kelvin two probe method was used to study DC conductivity, and it was found that the conductivity increases with increasing temperature. Among all the PANI nanocomposites, 3 wt% PANI-Zn/V2O5 shows a high conductivity of 13.8 S cm-1. Cyclic voltammetry results show the characteristic oxidation-reduction peaks at 0.93 V and 0.24 V for polyaniline and its nanocomposites, respectively. Hydrogen absorption studies were carried out using volumetric sorption measurement technique. At room temperature, it was found that the hydrogen adsorption capacity of polyaniline fibres is about 4.5 wt%, and its absorption capacity increases two-fold upon increasing the temperature up to 60 °C. Conversely, the 3 wt% PANI-Zn/V2O5 nanocomposite showed a high absorption capacity of 6.6 wt% compared with other compositions, which is may be due to the presence of nitrogen (N) molecules in polyaniline and its particular porous fiber architecture.

Efficacy, safety, and tolerability of lifitegrast 5% eye drops: A randomized, double-blind, active-controlled trial in Indian patients with dry eye disease.

PURPOSE: To compare the efficacy, safety, and tolerability of lifitegrast 5% versus carboxymethylcellulose (CMC) 0.5% in adult patients with dry eye disease (DED). METHODS: A total of 370 eligible patients with DED were randomized equally to receive twice-daily doses of a single drop in each eye of either lifitegrast 5% or CMC 0.5% for 12 weeks. Follow-up at weeks 2, 6, and 12 evaluated changes from baseline in primary [eye dryness score (EDS), ocular discomfort score (ODS), ocular surface disease index (OSDI), and tear film break-up time (TFBUT)] and secondary [Schirmer tear test (STT) score and corneal fluorescein staining (CFS) score] endpoints. Global improvement, safety, and tolerability were also assessed. RESULTS: At week 2, values of ocular discomfort score, OSDI, and conjunctival redness were significantly more favorable in patients treated with lifitegrast compared to CMC. At week 6, values of all study variables were better in patients treated with lifitegrast compared to CMC; differences between the groups were statistically significant for all except photophobia. This trend was also maintained at week 12. Global improvement and tolerability were found to be better with lifitegrast than with CMC. No serious safety concerns were reported in any treatment group. CONCLUSION: To our knowledge, this is the first active-controlled trial informing on the efficacy, safety, and tolerability of lifitegrast 5%. Significantly more favorable values for EDS (except photophobia), ODS, OSDI, TFBUT, STT score, CFS score, and conjunctival redness score were achieved at week 12 with lifitegrast 5% compared to CMC 0.5%.

Effectiveness of early Anakinra on cardiac function in children with multisystem inflammatory syndrome of COVID-19: a systematic review.

BACKGROUND: Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 can lead to severe cardiovascular complications. Anakinra, an interleukin-1 receptor antagonist, is proposed to benefit the hyperinflammatory state of MIS-C, potentially improving cardiac function. This systematic review evaluated the effectiveness of early Anakinra administration on cardiac outcomes in children with MIS-C. METHODS: A comprehensive search across PubMed, Embase, and Web of Science until March 2024 identified studies using Anakinra to treat MIS-C with reported cardiac outcomes. Observational cohorts and clinical trials were included, with data extraction focusing on cardiac function metrics and inflammatory markers. Study quality was assessed using the Newcastle-Ottawa Scale. RESULTS: Six studies met the inclusion criteria, ranging from retrospective cohorts to prospective clinical studies, predominantly from the USA. Anakinra dosages ranged from 2.3 to 10 mg/kg based on disease severity. Several studies showed significant improvements in left ventricular ejection fraction and reductions in inflammatory markers like C-reactive protein, suggesting Anakinra's role in enhancing cardiac function and mitigating inflammation. However, findings on vasoactive support needs were mixed, and some studies did not report significant changes in acute cardiac support requirements. CONCLUSION: Early Anakinra administration shows potential for improving cardiac function and reducing inflammation in children with MIS-C, particularly those with severe manifestations. However, the existing evidence is limited by the observational nature of most studies and lacks randomized controlled trials (RCTs). Further high-quality RCTs are necessary to conclusively determine Anakinra's effectiveness and optimize its use in MIS-C management for better long-term cardiac outcomes and standardized treatment protocols.

Epithelial-mesenchymal transition in chemoradiation-induced lung damage: Mechanisms and potential treatment approaches.

Pulmonary injury is one of the key restricting factors for the therapy of malignancies with chemotherapy or following radiotherapy for chest cancers. The lung is a sensitive organ to some severely toxic antitumor drugs, consisting of bleomycin and alkylating agents. Furthermore, treatment with radiotherapy may drive acute and late adverse impacts on the lung. The major consequences of radiotherapy and chemotherapy in the lung are pneumonitis and fibrosis. Pneumonitis may arise some months to a few years behind cancer therapy. However, fibrosis is a long-term effect that appears years after chemo/or radiotherapy. Several mechanisms such as oxidative stress and severe immune reactions are implicated in the progression of pulmonary fibrosis. Epithelial-mesenchymal transition (EMT) is offered as a pivotal mechanism for lung fibrosis behind chemotherapy and radiotherapy. It seems that pulmonary fibrosis is the main consequence of EMT after chemo/radiotherapy. Several biological processes, consisting of the liberation of pro-inflammatory and pro-fibrosis molecules, oxidative stress, upregulation of nuclear factor of κB and Akt, epigenetic changes, and some others, may participate in EMT and pulmonary fibrosis behind cancer therapy. In this review, we aim to discuss how chemotherapy or radiotherapy may promote EMT and lung fibrosis. Furthermore, we review potential targets and effective agents to suppress EMT and lung fibrosis after cancer therapy.

Engineering multifunctionality graphene-based nanocomposites with epoxy-silane functionalized cardanol for next-generation microwave absorber.

As technology advances, the demand for effective microwave-absorbing materials (MAM) to mitigate electromagnetic wave interference is growing. Two-dimensional (2D) materials are increasingly favored across various fields for their high specific surface area, electrical conductivity, low density, and dielectric loss properties. This study presents lightweight nanocomposites composed of graphene nanoplatelets blended with epoxy resin (ER) and cardanol with silane-functionalized (SFC) as a toughening agent. The resulting nanocomposites exhibit a high surface roughness of 130 nm and an enhanced hydrophobicity, as evidenced by a high contact angle. Notably, the ER/SFC/GNP sample at 3 wt% (0.075 g) achieves a minimum reflection loss value of -18 dB at a thickness of 10 mm, indicating improved impedance matching and enhanced dielectric loss capability. The increasing damping factor ratio to approximately 0.95 further augments the reflection loss performance. The research aims to develop cost-effective, efficient, lightweight graphene-based nanocomposite absorbers.

A Comprehensive Review of Ocular Manifestations in Systemic Diseases.

Ocular manifestations often serve as critical indicators of underlying systemic diseases, providing valuable diagnostic and prognostic information. This comprehensive review aims to elucidate the complex interplay between ocular symptoms and systemic conditions, emphasising the importance of early recognition and interdisciplinary collaboration in patient management. The review encompasses various systemic diseases, including cardiovascular, autoimmune, infectious, neurological, endocrine, hematologic, genetic, dermatologic, gastrointestinal, hepatic, renal, and connective tissue disorders, highlighting their specific ocular manifestations. Diagnostic approaches, including ophthalmologic examination techniques, imaging modalities, and laboratory tests, are discussed to enhance diagnostic accuracy. Furthermore, the review outlines current management and treatment strategies, emphasising the need for a multidisciplinary approach to care. Emerging therapies and future research directions are also explored, underscoring the necessity of continued innovation in this field. This review aims to improve clinical practices, promote integrative healthcare, and ultimately enhance patient outcomes by providing a detailed overview of ocular manifestations in systemic diseases.

A Narrative Review on Magnesium Sulfate as a Game Changer in Reducing ICU Stays in Organophosphate Poisoning Cases.

Organophosphate (OP) poisoning is a critical public health issue, particularly in agricultural regions where these compounds are extensively used as pesticides. The toxic effects of OP compounds arise from their inhibition of acetylcholinesterase, leading to an accumulation of acetylcholine and a subsequent cholinergic crisis, which can be fatal if not promptly treated. Traditional management of OP poisoning includes the administration of atropine and pralidoxime; however, these treatments often fall short of reducing the high morbidity and mortality associated with severe cases. Recent research has highlighted the potential of magnesium sulfate as an adjunctive treatment for OP poisoning. Magnesium sulfate exerts its beneficial effects through mechanisms such as calcium channel blockade and stabilization of neuromuscular junctions, which help mitigate the cholinergic hyperactivity induced by OP compounds. Clinical studies have shown that magnesium sulfate can significantly reduce the duration of intensive care unit (ICU) stays and improve overall patient outcomes. This narrative review aims to comprehensively analyze current insights into using magnesium sulfate to manage OP poisoning. It discusses the pathophysiology of OP poisoning, the pharmacological action of magnesium sulfate, and the clinical evidence supporting its use. Furthermore, the review will address the safety profile of magnesium sulfate and its potential role in current treatment guidelines. By synthesizing available evidence, this review seeks to establish magnesium sulfate as a game-changer in the management of OP poisoning, ultimately contributing to better clinical practices and patient outcomes.

Development and validation of a PCR-based method to differentiate human sex in blood-fed Aedes aegypti (Diptera: Culicidae).

Monitoring mosquito host choice to identify high-risk groups for different vector-borne diseases is important to devise vector control strategies and disease management. The present study was conducted to develop and validate a PCR-based method to identify human sex in blood-fed Aedes aegypti mosquitoes. Several human genes present in both the X and Y chromosomes were screened and diagnostic PCR primers were successfully designed and amplified for the human STS gene. The limit of detection of this PCR assay was carried out on Ae. aegypti fed with human blood up to 5 days (120 hours) post blood-meal under laboratory condition. The efficiency of this PCR assay was evaluated in field-collected Ae. aegypti mosquitoes and compared with other existing methods. The developed PCR primers can successfully amplify and distinguish human sex in mosquitoes up to 72 hours after a blood meal, with an amplified product of 627bp and 298bp for male (XY) and 627bp for female (XX) blood-fed mosquitoes. Further, validation of this assay in field-collected Ae. aegypti mosquitoes revealed that this assay could detect human sex in mosquito blood meal substantially more efficiently (c2 = 4.5, p = 0.034) than other PCR based assay. The newly developed PCR assay highly specific to human DNA and can distinguish male and female DNA for up to 72 hours. This assay can be is used for identifying highrisk groups and extended to other medically important hematophagous insects to assess their role in disease transmission and epidemic preparedness.

Identification and characterization of multiple fungal pathogens associated with brown spot disease of rice in India.

Brown spot (BS) disease causes significant losses to rice productivity. In this study, a roving survey in the Karnataka state of India revealed a wider distribution of BS with a percent disease index range of 20.56-50.74. From the symptomatic geo-distinct samples, pure cultures of 63 isolates were obtained. Based on the conidial morphology, 63 isolates were identified as Bipolaris oryzae (Bo) (n = 40), Curvularia lunata (Cl) (n = 15), and Exserohilum rostratum (Er) (n = 08). The taxonomic identity was further confirmed via ITS-sequencing. A pathogenicity assay on a BS-susceptible rice cultivar GNV-05-01 confirmed the pathogenicity of all three pathogens, which induces typical BS disease on test plants. Further, on PDA media, all isolates of three pathogens showed significant cultural diversity for mycelial color, colony type, and sporulation. We further studied the in-planta distribution of three pathogens on a randomly collected 600 BS spots from 10 different rice fields, which indicated that 77.83%, 17.33%, and 4.83% of the typical BS were produced by Bo, Cl, and Er, respectively. The ITS region was sequenced for selected 9, 7, and 3 isolates of Bo, Cl, and Er, respectively, and analyzed for their nucleotide and haplotype diversity, and phylogenetic relationships. A phylogenetic study identified the unique clustering patterns, and haplotyping indicated 3, 4, and 6 haplotypes. Tajima's D (D) test showed several rare alleles in the ITS regions. This is the first comprehensive study reporting the three fungal pathogens causing BS of rice and it is useful for re-designing the screening protocol for the host plant resistance breeding program. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-024-04033-3.

Performance Evaluation of Deformable Image Registration Systems - SmartAdapt® and Velocity™.

Aim: To commission and validate commercial deformable image registration (DIR) systems (SmartAdapt® and Velocity™) using task group 132 (TG-132) digital phantom datasets. Additionally, the study compares and verifies the DIR algorithms of the two systems. Materials and Methods: TG-132 digital phantoms were obtained from the American Association of Physicists in Medicine website and imported into SmartAdapt® and Velocity™ systems for commissioning and validation. The registration results were compared with known shifts using rigid registrations and deformable registrations. Virtual head and neck phantoms obtained online (DIR Evaluation Project) and some selected clinical data sets from the department were imported into the two DIR systems. For both of these datasets, DIR was carried out between the source and target images, and the contours were then propagated from the source to the target image data set. The dice similarity coefficient (DSC), mean distance to agreement (MDA), and Jacobian determinant measures were utilised to evaluate the registration results. Results: The recommended criteria for commissioning and validation of DIR system from TG-132 was error <0.5*voxel dimension (vd). Translation only registration: Both systems met TG-132 recommendations except computed tomography (CT)-positron emission tomography registration in both systems (Velocity ~1.1*vd, SmartAdapt ~1.6*vd). Translational and rotational registration: Both systems failed the criteria for all modalities (For velocity, error ranged from 0.6*vd [CT-CT registration] to 3.4*vd [CT-cone-beam CT (CBCT) registration]. For SmartAdapt® the range was 0.6*vd [CT-CBCT] to 3.6*vd [CT-CT]). Mean ± standard deviation for DSC, MDA and Jacobian metrics were used to compare the DIR results between SmartAdapt® and Velocity™. Conclusion: The DIR algorithms of SmartAdapt® and Velocity™ were commissioned and their deformation results were compared. Both systems can be used for clinical purpose. While there were only minimal differences between the two systems, Velocity™ provided lower values for parotids, bladder, rectum, and prostate (soft tissue) compared to SmartAdapt. However, for mandible, spinal cord, and femoral heads (rigid structures), both systems showed nearly identical results.

Nanotechnology-Enhanced Naloxone and Alternative Treatments for Opioid Addiction.

Opioids are commonly prescribed to address intense, ongoing pain associated with cancer, as well as long-lasting noncancer-related pain when alternative methods have proven ineffective. Individuals who exhibit both chronic pain and misuse of opioids face a significant danger of experiencing adverse health outcomes and the potential loss of life related to opioid use. Thus, there is a current movement to prescribe naloxone to those considered high-risk for opioid overdose. Naloxone has been explored as an antidote to reverse acute respiratory depression. Conversely, naloxone can give rise to other problems, including hypertension and cardiac arrhythmias. Thus, the importance of nanotechnology-enabled drug delivery strategies and their role in mitigating naloxone side-effects are significant. In this review, we explore the latest advancements in nanotechnology-enabled naloxone and alternative methods for addressing the opioid crisis through the utilization of non-opioid natural alternatives for chronic pain management.