Multiple primary brain abscesses in a 14 years old immunocompetent boy: A tale of Proteus mirabilis infestation from Pakistan.

Brain abscess (BA) formation that may be due to due to Gram-positive bacteria commonly and less commonly due Gram-negative bacteria affects pediatric population. Most cases are secondary to the involvement of ear, nose, throat and sinuses (ENTS). We describe a rare case of a 14 year old patient presenting with generalized tonic clonic seizures for the last six months associated with fever, vomiting and headache.

Effect of high-efficiency particulate air filter on children with asthma: a systematic review protocol of RCTs.

Introduction: Asthma has been classified as a major non-communicable disease by the WHO. With the worsening air quality index worldwide, the burden of asthma has increased specifically in children. The focus of the management strategy of asthma has shifted from traditional pharmacological treatments towards non-pharmacological preventive and control therapy in recent decades.

Laccase-based biocatalytic systems application in sustainable degradation of pharmaceutically active contaminants.

The outflow of pharmaceutically active chemicals (PhACs) exerts a negative impact on biological systems even at extremely low concentrations. For instance, enormous threats to human and aquatic species have resulted from the widespread use of antibiotics in ecosystems, which stimulate the emergence and formation of antibiotic-resistant bacterial species and associated genes. Additionally, it is challenging to eliminate these PhACs by employing conventional physicochemical water treatment techniques.

PHyPO: Priority-based Hybrid task Partitioning and Offloading in mobile computing using automated machine learning.

With the increasing demand for mobile computing, the requirement for intelligent resource management has also increased. Cloud computing lessens the energy consumption of user equipment, but it increases the latency of the system. Whereas edge computing reduces the latency along with the energy consumption, it has limited resources and cannot process bigger tasks.

Block cipher construction using minimum spanning tree from graph theory and its application with image encryption.

In modern cryptography, Substitution Boxes (S-boxes) are critical in introducing confusion into ciphertext, significantly enhancing encryption security. With the rising sophistication of hacking techniques, there is a growing need to develop stronger and more dynamic S-boxes. This paper proposes a novel method for constructing cryptographically secure S-boxes using graph theory, specifically based on the Minimum Spanning Tree (MST) of cycle graphs.

Nephroprotective and diuretic effect of Alternanthera brasiliana (L.) Kuntze leaf extract; acute and sub-acute toxicity assessment.

Ethnopharmacological Relevance: Alternanthera brasiliana (L.) Kuntze of the family Amaranthaceae has been extensively used in traditional medicinal practices in Brazil and India for its reputed efficacy in promoting diuresis, as well as treating wounds, inflammation, postnatal symptoms, diarrhea, and cough. Its selection for this study was driven not only by its ethnomedicinal significance but also by its rich phytochemical composition, including bioactive compounds such as flavonoids, saponins, and alkaloids, which are known to exhibit nephroprotective and diuretic effects.

Image enhancement with art design: a visual feature approach with a CNN-transformer fusion model.

Graphic design, as a product of the burgeoning new media era, has seen its users' requirements for images continuously evolve. However, external factors such as light and noise often cause graphic design images to become distorted during acquisition. To enhance the definition of these images, this paper introduces a novel image enhancement model based on visual features.

Exploiting the features of deep residual network with SVM classifier for human posture recognition.

Over the last decade, there have been a lot of advances in the area of human posture recognition. Among multiple approaches proposed to solve this problem, those based on deep learning have shown promising results. Taking another step in this direction, this paper analyzes the performance of deep learning-based hybrid architecture for fall detection, In this regard, the fusion of the residual network (ResNet-50) deep features with support vector machine (SVM) at the classification layer has been considered.

Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.

A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the present day. Research on various aspects of the price and production of rice has been done by various methods in the past.

Evaluating the dynamic response and phase angle behavior of SBS-modified asphalt mixtures for enhanced pavement performance.

Bitumen exhibits viscoelastic properties, showcasing both viscous and elastic behaviors, which are characterized by the phase angle and dynamic modulus. Issues like early fatigue fractures, rutting, and permanent deformations in bituminous asphalt pavements arise due to moisture susceptibility, high-temperature deformation, low-temperature cracking, and overloading. These distresses result in potholes, alligator cracks, and specific deformations that lead to early pavement failure, increasing rehabilitation and maintenance costs.

Effect of antibiotic growth promoters (AGPs) on feed conversion ratio (FCR) of broiler chickens: A meta-analysis.

Antibiotics have been used for a long time as growth promoters in the poultry industry for growth and health benefits. However, recent studies reflected little, no, or negative impacts of using antibiotics for growth promotion purposes. This study was designed to examine the overall effect of antibiotic supplementation on the feed conversion ratio (FCR) in broiler chickens as a performance indicator and assess different covariates for explaining heterogeneity in response to the use of antibiotics as growth promoters.

Dual-Wide Multi-Band (DWMB) four-port flexible MIMO antenna for on-body multiple wireless applications including high diversity performance.

The single-input-single-output technology experiences loss of data in the communication channel due to the receiving antenna undergoing fading of the signal impinged on it. Today's need is faster data transfer with multiple applications in the single antenna with multiple-identical radiating elements, leading to multiple-input-multiple-outputDWMB (MIMODWMB) technology. The MIMODWMB configuration with multi-band capability is the objective of the proposed work with applications ranging between microwave-millimeterWave bands.

Timely Transesophageal Echocardiography After Left Atrial Appendage Occlusion May Avoid Delayed Detection of Device-Related Thrombus.

• Timely follow-up is critical in reducing the risk for device-related complications. • Studies are needed on the efficacy of DAPT after LAAO in high-risk patients. • Serial TEE is crucial for evaluating device-related complications.

Cobalt-catalyzed reductive cross-coupling: a review.

Transition-metal-catalyzed reductive cross-coupling is highly efficient for forming C-C bonds. It earns its limelight from its application by coupling unreactive electrophilic substrates to synthesize a variety of carbon-carbon bonds with various hybridizations (sp, sp, and sp), late-stage functionalization, and bioactive molecules' synthesis. Reductive cross-coupling is challenging to bring selectivity but promising approach.

Enhancing DDoS detection in SDIoT through effective feature selection with SMOTE-ENN.

Internet of things (IoT) facilitates a variety of heterogeneous devices to be enabled with network connectivity via various network architectures to gather and exchange real-time information. On the other hand, the rise of IoT creates Distributed Denial of Services (DDoS) like security threats. The recent advancement of Software Defined-Internet of Things (SDIoT) architecture can provide better security solutions compared to the conventional networking approaches.

Optimizing prediction accuracy in dynamic systems through neural network integration with Kalman and alpha-beta filters.

In the realm of dynamic system analysis, the Kalman filter and the alpha-beta filter are widely recognized for their tracking and prediction capabilities. However, their performance is often limited by static parameters that cannot adapt to changing conditions. Addressing this limitation, this paper introduces innovative neural network-based prediction models that enhance the adaptability and accuracy of these conventional filters.

COVID-19-related Pneumonitis in Immunocompromised Patients: Reviewing Clinical Features and Management Approaches.

In this case series, we explore persistent SARS-CoV-2 infection and its resultant pneumonitis within a cohort of immunocompromised patients. We elucidate the complex interplay between immunosuppression and COVID-19 by examining four patients who experienced prolonged viral shedding and recurrent respiratory failure due to their compromised immune systems. This series elucidates the clinical presentation, diagnostic challenges, and therapeutic strategies.

Tailoring efficient manganese bromide-based scintillator films with ethyl acetate assistance.

Metal halide scintillators serve as a compelling substitute for traditional scintillators in X-ray detection and imaging due to their low-temperature fabrication process, high light yield and mechanical flexibility. Nevertheless, the spatial resolution and photoluminescence quantum yield (PLQY) of these films are hindered by the agglomeration and uneven distribution of metal halides crystal particles during the fabrication process. We introduce a modified fabrication approach for metal halide scintillator films involving an additional step of ethyl acetate (EA) treatment, resulting in the preparation of a smooth EA-treated (Ph4P)2MnBr4/Polydimethylsiloxane film.

In silico vaccine design for Yersinia enterocolitica: A comprehensive approach to enhanced immunogenicity, efficacy and protection.

Yersinia enterocolitica, a foodborne pathogen, has emerged as a significant public health concern due to its increased prevalence and multidrug resistance. This study employed reverse vaccinology to identify novel vaccine candidates against Y. enterocolitica through comprehensive in silico analyses.

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.

Magnesium-promoted nickel-catalysed chlorination of aryl halides and triflates under mild conditions.

In this study, we present a ligand-free nickel-catalyzed halogen exchange of aromatic halides with magnesium chloride. This method effectively facilitates the -Finkelstein reaction for a wide range of aryl bromides, iodides and triflates, demonstrating excellent functional group tolerance. Mechanistic studies reveal that magnesium plays a crucial role in the challenging reductive elimination from Ni intermediates.

Thymoma-Related Chest Pain and Dyspnea in a Middle-Aged Caucasian Female With Myasthenia Gravis and Good's Syndrome: A Case Report.

Thymomas are rare tumors originating from thymic tissue, often associated with various paraneoplastic syndromes that can pose significant clinical management challenges. Myasthenia gravis, one of the most common paraneoplastic syndromes linked to thymomas, is characterized by autoantibodies targeting the neuromuscular junction, leading to muscle weakness exacerbated by repetitive use. Good's syndrome, an adult-onset immunodeficiency associated with thymomas, results in hypogammaglobulinemia and susceptibility to opportunistic infections, which can be life-threatening.