Pharygeal Cervicobrachial Variant Of Guillian -barre Syndrome

Guilain-Barre Syndrome (GBS) is a common cause of Neuro-muscular paralysis with a spectrum of clinical and electrophysiology variants. We present a case of thePharyneo-cervico-brachial type. A 25 yr old male came to the Medical OPD with the complains of one day history of upper limb weakness and decreased flexion of the neck , which was progressively worsening, along-with associated shortness of breath. His systemic inquiry and past medical/surgical histories were insignificant. Physical exam correlated withthe diagnostic criteria of PCB variant of GBS. Diagnosis was confirmed on EMG/NCS,which showed axonal neuropathy involving axillay and musculocutaneousnerve, along with absent F –waves latencies inleft median nerve. He showed significant improvement in his weakness over a course of 12 days. Such a case has not been reported to the best of our knowledgefrom our part of world, as of yet

SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized Violence

Detection of violence and weaponized violence in closed-circuit television (CCTV) footage requires a comprehensive approach. In this work, we introduce the \emph{Smart-City CCTV Violence Detection (SCVD)} dataset, specifically designed to facilitate the learning of weapon distribution in surveillance videos. To tackle the complexities of analyzing 3D surveillance video for violence recognition tasks, we propose a novel technique called, \emph{SSIVD-Net} (\textbf{S}alient-\textbf{S}uper-\textbf{I}mage for \textbf{V}iolence \textbf{D}etection). Our method reduces 3D video data complexity, dimensionality, and information loss while improving inference, performance, and explainability through the use of Salient-Super-Image representations. Considering the scalability and sustainability requirements of futuristic smart cities, the authors introduce the \emph{Salient-Classifier}, a novel architecture combining a kernelized approach with a residual learning strategy. We evaluate variations of SSIVD-Net and Salient Classifier on our SCVD dataset and benchmark against state-of-the-art (SOTA) models commonly employed in violence detection. Our approach exhibits significant improvements in detecting both weaponized and non-weaponized violence instances. By advancing the SOTA in violence detection, our work offers a practical and scalable solution suitable for real-world applications. The proposed methodology not only addresses the challenges of violence detection in CCTV footage but also contributes to the understanding of weapon distribution in smart surveillance. Ultimately, our research findings should enable smarter and more secure cities, as well as enhance public safety measures.Comment: 5 tables, 3 figure

Therapeutic potential and bioactive phenolics of locally grown Pakistani and Chinese varieties of ginger in relation to extraction solvents

Current study compares the Therapeutic/nutra-pharmaceuticals potential and phenolics profile of Pakistani grown Pakistani and Chinese varieties of ginger. Crude yield of bioactive components from the varieties tested, using different extraction solvents including chloroform, ethyl acetate, ether, methanol, ethanol and distilled water. The crude bioactives varied from 14.1-82.5%. The highest extraction yield was noted for Pakistani species. The HPLC analysis revalued significant amounts of phenolics including vanillin, protocatechuic, vanillic, ferulic, sinapinic and cinnamic acids. The highest anti-inflammatory activity was shown by ethanolic extract of Pakistani variety (IC50: 26.5±1.8) whereas Chinese variety exhibited potent anticancer potential against MCF-7 cell line (Inhibition: 91.38 %). The Chinese variety in general showed higher phenolics and anticancer, while the Pakistani exhibited higher anti-inflammatory activity. Pakistani grown ginger and ethanolic extract of Chinese ginger showed highest antimicrobial activity against Pseudomonas aeruginosa 18.0±0.02 & 15.00±0.02 mm respectively. Minimum results obtained with water for both varieties of ginger with range of 7.2±0.22 and 6±0.07 respectively. Moreover, the phenolics composition, anti-inflammatory, antibacterial and anticancer activities of both tested varieties of ginger were notably affected as a function of extraction solvents. Our findings advocate selection of appropriate solvent for recovery of effective phenolic bioactive compounds from ginger verities to support the Nutra-pharmaceutical formulation

BPPO-Based Anion Exchange Membranes for Acid Recovery via Diffusion Dialysis

To reduce the environmental impact of acids present in various industrial wastes, improved and robust anion exchange membranes (AEMs) are highly desired. Moreover, they should exhibit high retention of salts, fast acid permeation and they should be able to operate with low energy input. In this work, AEMs are prepared using a facile solution-casting from brominated poly-(2,6-dimethyl-1,4-phenylene oxide) (BPPO) and increasing amounts of 2-phenylimidazole (PI). Neither quaternary ammonium salts, nor ionic liquids and silica-containing compounds are involved in the synthesis. The prepared membranes showed an ion exchange capacity of 1.1–1.8 mmol/g, a water uptake of 22%–47%, a linear expansion ratio of 1%–6% and a tensile strength of 0.83–10.20 MPa. These membranes have potential for recovering waste acid via diffusion dialysis, as the acid dialysis coefficient (UH) at room temperature for HCl is in the range of 0.006–0.018 m/h while the separation factor (S) is in the range of 16–28, which are higher than commercial DF-120B membranes (UH = 0.004 m/h, S = 24)

Medical image colorization for better visualization and segmentation

Medical images contain precious anatomical information for clinical procedures. Improved understanding of medical modality may contribute significantly in arena of medical image analysis. This paper investigates enhancement of monochromatic medical modality into colorized images. Improving the contrast of anatomical structures facilitates precise segmentation. The proposed framework starts with pre-processing to remove noise and improve edge information. Then colour information is embedded to each pixel of a subject image. A resulting image has a potential to portray better anatomical information than a conventional monochromatic image. To evaluate the performance of colorized medical modality, the structural similarity index and the peak signal to noise ratio are computed. Supremacy of proposed colorization is validated by segmentation experiments and compared with greyscale monochromatic images

Management of secondary immunodeficiency in hematological malignancies: a Delphi consensus from the Middle East

Secondary immunodeficiency (SID), acquired hypogammaglobinemia, is an immunodeficiency caused by different factors like diseases, medications, and/or nutrition disorders. Most patients with hematological malignancies (HM), namely chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), experience such SID. These patients have a consistently high risk of infection throughout the disease course. Traditional chemotherapy and novel agents used to treat HM may further increase infection susceptibility. Immunoglobulin replacement therapy (IgRT) is an effective management option for SID. The prevalence of SID in the Middle East needs better documentation. Healthcare providers should consider and evaluate SID in patients at risk, monitor for infection occurrence, and treat accordingly (including initiating IgRT when indicated). A Delphi initiative was conducted by a consensus panel of 15 experts from the Middle East who have over 20 years of experience in actively managing patients with SID. The modified Delphi process was used, and 16 questions reached a consensus on managing SID patients with IgRT. In addition, the consensus panel of Middle East experts recommended real-world practice recommendations regarding initiating, dosing, and discontinuing IgRT in managing SID. This consensus recommendation aims to assist healthcare practitioners in the Middle East in evidence-based clinical decision-making for better management of SID

Fourth Hankel Determinant Problem Based on Certain Analytic Functions

In recent years, the Hankel determinant bounds for different subclasses of analytic, starlike and symmetric starlike functions have been discussed and studied by the many well-known authors. In this paper, we first consider a new subclass of analytic function and then we derive the fourth Hankel determinant bound for this class

STT-Net: Simplified Temporal Transformer for Emotion Recognition

Emotion recognition is one of the crucial topics in computer vision to efficiently recognize the expression of humans through faces. Recently, transformers have been recognized as a robust architecture, and many vision-based transformer models for emotion recognition have been proposed. The major drawback of such models is the high computational cost of the attention mechanism for computing space-time attention. To that end, we studied temporal feature shifting for frame-wise deep learning models to avoid this burden. In this work, we propose a novel temporal shifting approach for a frame-wise transformer-based model by replacing multi-head self-attention (MSA) with multi-head self/cross-attention (MSCA) to model the temporal interactions between tokens without additional cost. The contextual connection between and inside channels and across time is encoded by the proposed MSCA to enhance the recognition rate and reduce the latency for real-world applications. We extensively evaluated our system on CK+ (Cohn-Kanad) and Fer-2013plus (Facial-Emotion-Recognition) benchmark datasets with geometric transforms-based augmentation to address the imbalance issue in the data. According to the results, the proposed MSCA has either outperformed or closely matched the performance of state-of-the-art (SOTA) techniques. However, we conducted an ablation study on a challenging Fer2013+ dataset to demonstrate the significance and potential of our model for complex emotion recognition tasks

Fourth Hankel Determinant Problem Based on Certain Analytic Functions

In recent years, the Hankel determinant bounds for different subclasses of analytic, starlike and symmetric starlike functions have been discussed and studied by the many well-known authors. In this paper, we first consider a new subclass of analytic function and then we derive the fourth Hankel determinant bound for this class