A Rare Case of Disseminated Tuberculosis Presenting As a Frontal Headache and Photophobia in the UK.

Tuberculosis is a disease caused by  (TB), demonstrating a vast clinical spectrum that can potentially involve all systems of the body. We present the case of a female in her late 20s, with an employment background in healthcare. She recently moved to the UK from India.

Comparative Microstructural Evaluation of Wood in Three Dominant Species of Desert Ecosystem (Cholistan), Pakistan.

The present microstructural evaluation was carried out on the woods of three ethnobotanically important local fruit trees, namely, Lam., Z. (L.

In Vivo Study of Seed Extracts as Potential Sources of Neuroprotection against Rotenone-Induced Neurotoxicity.

Parkinson's disease (PD) is a leading neurodegenerative disorder affecting 1-3 percent of the elderly population. Oxidative stress is the primary factor for the neurodegeneration of Substantia Nigra (SN). The current study aims to assess the seed extracts of (MO) on rotenone-mediated motor function impairments in a PD mouse model.

cGAS-STING, an important signaling pathway in diseases and their therapy.

Since cyclic guanosine monophosphate-adenosine monophosphate synthase (cGAS)-stimulator of interferon genes (STING) signaling pathway was discovered in 2013, great progress has been made to elucidate the origin, function, and regulating mechanism of cGAS-STING signaling pathway in the past decade. Meanwhile, the triggering and transduction mechanisms have been continuously illuminated. cGAS-STING plays a key role in human diseases, particularly DNA-triggered inflammatory diseases, making it a potentially effective therapeutic target for inflammation-related diseases.

Automatic Detection of Chronic Insomnia from Polysomnographic and Clinical Variables Using Machine Learning.

Insomnia is defined subjectively by the presence and frequency of specific clinical symptoms and an association with distress. Although sleep study data has shown some weak associations, no objective test can currently be used to predict insomnia. The purpose of this study was to use previously reported and relatively crafted insomnia-related polysomnographic variables in machine learning models to classify groups with and without insomnia.

Advanced methods of algal pigments extraction: A review.

Algae are exclusively aquatic photosynthetic organisms that are microscopic or macroscopic, unicellular or multicellular and distributed across the globe. They are a potential source of food, feed, medicine and natural pigments. A variety of natural pigments are available from algae including chlorophyll a, b, c d, phycobiliproteins, carotenes and xanthophylls.

Bioremediation of heavy metals polluted environment and decolourization of black liquor using microbial biofilms.

Background: With increased urbanization and industrialization, modern life has led to an anthropogenic impact on the biosphere. Heavy metals pollution and pollutants from black liquor (BL) have caused severe effects on environment and living organisms. Bacterial biofilm has potential to remediate heavy metals and remove BL from the environment.

Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning.

Background: Treatment of obstructive sleep apnea is crucial for long term health and reduced economic burden. For those considered for surgery, drug-induced sleep endoscopy (DISE) is a method to characterize location and pattern of sleep-related upper airway collapse. According to the VOTE classification system, four upper airway sites of collapse are characterized: velum (V), oropharynx (O), tongue (T), and epiglottis (E).

Antimicrobial Efficacy of Biogenic Cobalt and Copper Nanoparticles against Pathogenic Isolates.

Biogenic synthesis of cobalt (Co) and copper (Cu) nanoparticles (NPs) was performed using the bacterial strains Escherichia coli and Bacillus subtilis. Prepared NPs were confirmed by a color change to maroon for CoNPs and green for CuNPs. The NPs characterization using FTIR showed the presence of functional groups, i.

Evaluation of Safety of Stewart's Wood Fern () and Its Anti-Hyperglycemic Potential in Alloxan-Induced Diabetic Mice.

Diabetes has become a critical challenge to the global health concerns. Cytotoxicity and development of resistance against available drugs for management of diabetes have shifted the focus of global scientific researchers from synthetic to herbal medications. Therefore, the current study was conducted to investigate the possible anti-hyperglycemic potential of using Swiss albino mice.

Detection of Cheyne-Stokes Breathing using a transformer-based neural network.

Annotation of sleep disordered breathing, including Cheyne-Stokes Breathing (CSB), is an expensive and time-consuming process for the clinician. To solve the problem, this paper presents a deep learning-based algorithm for automatic sample-wise detection of CSB in nocturnal polysomnographic (PSG) recordings. 523 PSG recordings were retrieved from four different sleep cohorts and subsequently scored for CSB by three certified sleep technicians.

Comparison of Digital Versus Conventional Documentation of Ward Round in Terms of Staff Satisfaction, Effect on Education, and Adherence to British Orthopaedic Association Guidelines.

Objective To compare the role of paper-based versus digital record keeping in the orthopaedic ward in terms of staff satisfaction, education of staff, and adherence to British Orthopaedic Association (BOA) guidelines. Materials and methods Forty-four participants including nurses, senior house officers, foundation year trainees, and consultants completed a questionnaire. The first survey was done to introduce electronic records keeping to the participants and the second survey was conducted to review the collected record.

Proteomic Biomarkers of the Apnea Hypopnea Index and Obstructive Sleep Apnea: Insights into the Pathophysiology of Presence, Severity, and Treatment Response.

Obstructive sleep apnea (OSA), a disease associated with excessive sleepiness and increased cardiovascular risk, affects an estimated 1 billion people worldwide. The present study examined proteomic biomarkers indicative of presence, severity, and treatment response in OSA. Participants (n = 1391) of the Stanford Technology Analytics and Genomics in Sleep study had blood collected and completed an overnight polysomnography for scoring the apnea−hypopnea index (AHI).

Application of green silver nanoparticles synthesized from the red seaweeds and against oral pathogenic bacteria by using microscopic technique.

Aqueous extracts of two red seaweeds and were used to synthesize green silver nanoparticles. These biogenic nanoparticles were tested against four strains of oral pathogenic bacteria which cause tooth decay or cavities. (MT416445), (MT416448), (MT416447) and (MT416446) were used.

Impaired Mineral Ion Metabolism in a Mouse Model of Targeted Calcium-Sensing Receptor (CaSR) Deletion from Vascular Smooth Muscle Cells.

Background: Impaired mineral ion metabolism is a hallmark of CKD-metabolic bone disorder. It can lead to pathologic vascular calcification and is associated with an increased risk of cardiovascular mortality. Loss of calcium-sensing receptor (CaSR) expression in vascular smooth muscle cells exacerbates vascular calcification Conversely, vascular calcification can be reduced by calcimimetics, which function as allosteric activators of CaSR.

Medicinal Perspective of Antibacterial Bioactive Agents in Earthworms (Clitellata, Annelida): A Comprehensive Review.

Humoral practice is a fundamental natural biological phenomenon in earthworm defensive system which protects them from infectious bacteria and irritating agents by different mechanisms. The defensive system of earthworms is highly complicated because they lack antibodies in their blood circulatory system but their body extracts and coelomic fluid comprise of different bioactive agents (i.e.

Honey Potential as Antibiofilm, Antiquorum Sensing and Dispersal Agent against Multispecies Bacterial Biofilm.

This study is first to test Pakistani honey bees, Apis dorsata and A. cerana honey samples as anti biofilm, anti quorum sensing (QS) and biofilm dispersal agents honey against multispecies biofilm of bacteria (obtained from obese patients). Briefly, five previously identified isolates Pseudomonas aeruginosa, Escherichia coli, Staphylococcus aureus, Morganella morganii and Klebsiella pneumoniae (MT448672-MT448676) were selected.

Authentication of the therapeutic Lamiaceae taxa by using pollen traits observed under scanning electron microscopy.

Herbal medicines are gaining popularity worldwide for human healthcare because of their therapeutic potential. However, adulteration and use of unauthentic raw herbals as substitutes have become a major issue for the local communities and industry for reasons of safety and efficacy. Therefore, the authentication of medicinal plants before their use in herbal medicines is a need of time.

Upper Airway Classification in Sleep Endoscopy Examinations using Convolutional Recurrent Neural Networks.

Assessing the upper airway (UA) of obstructive sleep apnea patients using drug-induced sleep endoscopy (DISE) before potential surgery is standard practice in clinics to determine the location of UA collapse. According to the VOTE classification system, UA collapse can occur at the velum (V), oropharynx (O), tongue (T), and/or epiglottis (E). Analyzing DISE videos is not trivial due to anatomical variation, simultaneous UA collapse in several locations, and video distortion caused by mucus or saliva.

Polysomnographic Plethysmography Excursions are Reduced in Obese Elderly Men.

Sleep apnea is a widespread disorder and is defined by the complete or partial cessation of breathing. Obstructive sleep apnea (OSA) is caused by an obstruction in the upper airway while central sleep apnea (CSA) is characterized by a diminished or absent respiratory effort. It is crucial to differentiate between these respiratory subtypes as they require radically different treatments.

Automatic Segmentation to Cluster Patterns of Breathing in Sleep Apnea.

Annotation of polysomnography (PSG) recordings for diagnosis of obstructive sleep apnea (OSA) is a standard procedure but an expensive and time-consuming process for clinicians. To aid clinicians in this process we present a data driven unsupervised hierarchical clustering approach for detection and visual presentation of breathing patterns in PSG recordings. The aim was to develop a model independent of manual annotations to detect and visualize respiratory events related to OSA.