Aims: The incidence of cognitive disorders is rising. Phytochemical compounds have had some success in improving cognitive outcomes in preclinical studies. A limited number of these have progressed to clinical trials. However, the evidence in support of phytochemical use in (1) improving cognition in healthy individuals or (2) as prophylaxis and treatment against the cognitive sequelae of neuropathogies, remains to be demonstrated. We sought to systematically evaluate the current evidence base surrounding the impact of phytochemical agents on cognitive function in healthy individuals, with a view to exploring their clinical application. Methods: A systematic search of Web of Science, PubMed, PsycNET, and AYUSH Research Portal was performed for double-and single-blind randomized controlled trials assessing the efficacy of Curcuma longa, Bacopa monniera, Ocimum sanctum, Camellia sinesis, Centella asiatica, Ganoderma lingzhi, and Rosmarinus officinalis, on cognitive function. Results: Seven studies from the initial 144 search results, were included, comprising of 416 participants examining the impact of either Bacopa monniera, Ocimum sanctum or Camellia sinesis. Meta-analysis revealed no benefit of Bacopa monniera or Camellia sinesis on processing speed, attention, working memory, language, psychomotor function or overall cognitive performance. Ocimum sanctum improved reaction times on an executive function task. Conclusion: Collectively, no beneficial effects were seen in healthy populations. The limited number of trials, methodological issues and unclear risk of bias casts doubt on the validity and extrapolation of these findings. More methodologically robust trials are recommended of longer duration to investigate the efficacy of phytochemicals for cognition.

Introduction: Pediatric solid tumors are a significant health challenge worldwide. It is more worsened in low- and middle-income countries like Ethiopia where there is deprived health care infrastructure and limited treatment modalities. This study aims to understand the epidemiological characteristics, pattern of these tumors and short-term treatment outcome which is crucial to provide timely and appropriate treatment to patients. Methods: a retrospective study of 2 year and 8 months period was conducted among all pediatric solid tumor children below age of 15 admitted at St Paul’s Hospital Millennium Medical College Hemato- Oncology unit. Data from the patient charts were entered and analyzed using SPSS version 29. Result: There are a total of 173 pediatric solid tumor patients over study period. 22.6% patients were seen on first year, 34.6% seen on second year and 42.8 % patient seen on last 8 months of the study period. 56.1% of them were males. Most patients came from Oromia region. The most frequent solid tumors were retinoblastoma, Wilm’s tumor and Rhabdomyosarcoma. Out of these 86 patients are still on treatment, 23 patients went into complete remission, 4 relapse, 2 were defaulters (Skipping a scheduled visit during evaluation of more than 2 weeks or skipping a scheduled session of chemotherapy by more than the duration between chemo-sessions), 5 patients lost from follow- up , 21 died, 5 refered to other hospital , 10 left against medical advice. Conclusion: The study shows increasing childhood solid tumour cases over the years. A significant portion of patients achieved remission, while the majority are still undergoing treatment or follow-up care. There are a small percentage of relapse, defaulters and loss to follow-up with mortality rates were observed. Early detection strategies and community-based awareness programs aimed at promoting early presentation to healthcare facilities could potentially improve outcomes by facilitating timely diagnosis and intervention.

Rising water temperatures driven by climate change threaten culturally and economically important salmonid fisheries throughout the Upper Midwest. Unsuitable thermal regimes degrade the effectiveness of habitat restoration projects in the region, thus strategies for mitigating peak summer stream temperatures are of interest to state and non-profit fisheries managers. Using a process-based stream temperature model, this study explores the thermal impact of riparian tree planting and tree removal in a 179 km 2 watershed in the unglaciated Driftless Area of southwestern Wisconsin. By creating hypothetical riparian vegetation scenarios and systematically adding and removing woody vegetation from the banks we explore the influence of shade and channel geometry on July stream temperatures with an emphasis on salmonid thermal suitability. We used this model to analyze an 18.5 km study reach to identify management areas that have the most potential to buffer downstream water temperatures throughout the summer with added shade. We developed a downstream thermal change (DTC) metric to measure the magnitude and downstream distance of temperature change following stream alterations. The magnitude of stream cooling was mediated by channel width in our scenarios, with more pronounced thermal changes in narrower stream reaches (p<.05). Modeled tree planting scenarios decreased the maximum July maximum weekly average temperature (MWAT) and July maximum weekly maximum temperature (MWMT) within the study reach by 0.52 ℃ and 0.53 ℃ respectively. This study offers a workflow using free and open-source modeling tools to determine the thermal impact of restoration and prioritize future management efforts in cold water stream ecosystems.

Overexploitation of large and highly connected marine fish populations may impact their future evolutionary potential and recovery, but understanding the underlying changes to genetic diversity can be challenging. The collapse of Northern Cod (Gadus morhua), historically the largest population of Atlantic Cod in the northwest Atlantic, raised questions regarding the potential biological consequences for the populations’ genetic diversity. Using low-coverage whole genome sequencing (lcWGS) on collections from the 1990s and 2010s, we detected a decline in genetic diversity of Atlantic Cod along the Canadian Atlantic coast. Most recent collections exhibited lower genetic diversity (i.e., Watterson’s θ) and fewer genetically distinguishable groups than 1990s collections. Runs of homozygosity were also longer and more numerous in the 2010s collections. Our results demonstrate a loss in genetic diversity at the population and individual level following the fishery collapse and indicate that genetic diversity can be lost even in numerically large populations. The loss of genetic diversity may have important implications for fisheries conservation.

Human Activity Recognition (HAR) is crucial in healthcare monitoring and smart home systems, tracking patient movements, de- tecting falls, and monitoring daily activities. Despite its importance, HAR faces significant challenges due to the scarcity of large-scale, diverse datasets and the lack of data representing abnormal activities, essential for detecting rare but critical health events. This paper addresses these challenges through advanced synthetic data generation and state-of-the- art classification techniques. We introduce a Generative Adversarial Net- work (GAN) designed for time series data to generate synthetic samples, significantly expanding the WISDM dataset. Our method includes gener- ating an ’abnormal’ activity class, enhancing the dataset’s diversity and real-world applicability. The synthetic data quality is rigorously evalu- ated using Dynamic Time Warping (DTW) to ensure fidelity to original data distributions. For classification, we leverage transformer-based mod- els to interpret and classify human activities from accelerometer data. This approach demonstrates the adaptability of advanced language mod- els to numeric, time-series data, opening new avenues in HAR research. Transformers, known for their success in natural language processing, show promise in capturing complex patterns in human activity data, leading to improved accuracy and robustness. Our methodology aims to expand the dataset, particularly for rare and abnormal activities, and enhance classification accuracy. This work contributes to HAR by pro- viding a framework for dataset enhancement and classification, paving the way for more robust and versatile activity recognition systems, espe- cially where data collection is challenging. The implications for health- care are significant, potentially leading to better patient outcomes and more efficient healthcare delivery.

The Global-Local Attention Transformer (GLAT) model is utilized for the effective integration of global and local features in the classification and detection of defects within Geographic Information System (GIS) imagery. Comprised of a Vision Transformer (ViT) backbone and a Global-Local Attention (GGLA) module, GLAT employs localized pooling and convolutions to enhance channel interactions. Input features are segmented, followed by the application of pooling and convolutions, culminating in the generation of attention weights via a sigmoid function. This process refines the features by highlighting pivotal information and diminishing irrelevant details. Achieved through experimentation, a classification accuracy of 83.4% is reported for GLAT, outpacing traditional Convolutional Neural Networks (CNNs). Additionally, the incorporation of the GGLA module across various ViT configurations results in an average accuracy enhancement of 0.9 percentage points. Such outcomes underscore GLAT’s capability in bolstering the identification of both global structures and local details, signifying its potential as a novel solution in the realm of GIS defect detection and the advancement of technology in this domain.

Introduction: Pemphigus vulgaris is a rare, autoimmune disorder characterized by blistering skin and mucous membrane lesions, often presenting with oral lesions in 50-70% of cases. It has a global incidence of 0.5-3.2 per 100,000 people, with variations across regions, and in Iran, the rate is about 1 per 100,000 annually. The disease typically manifests in the 6th decade of life, though the age of onset varies internationally, being younger in India and Western countries. Method: In this cross-sectional study, information of 63 patients, diagnosed with pemphigus vulgaris was confirmed by biopsy of the lesions, was collected during a telephone call. This project was approved by the Research Ethics Committee of Iran University of Medical Sciences. SPSS version 22 software was used for the statistical analysis of the data. Results: In a study of 63 pemphigus vulgaris patients, 56% were female and 44% male, with an average age of 50.17 years. Most patients initially presented with mucosal symptoms (70%), and the average time to diagnosis was about 17 months. Common misdiagnoses included aphthous ulcers, lichen planus, and allergic reactions. Post-diagnosis, most patients (82%) received multiple medications. Specific treatments included prednisolone (12%), methylprednisolone (1.7%), and methotrexate (1.7%). Also Those who initially managed their illness well tended to have more frequent and intense flare-ups later. Patients diagnosed early generally had fewer relapses, while those who first showed mucosal symptoms experienced longer periods without relapses. Also, being diagnosed late can affect how well treatments work and how the disease is managed. Discussion: Pemphigus vulgaris predominantly affects middle-aged women, typically emerging in their fifth decade, with mucosal symptoms often preceding skin manifestations. Delayed diagnosis, particularly in cases presenting with skin symptoms, may impact prognosis. Treatment choice and adjuvant therapy post-diagnosis may influence relapse rates, warranting further investigation.

Objective:To explore the mechanism of Clinacanthus nutans against hepatic fibrosis (HF) by network pharmacology and molecular docking. Methods:Using the traditional Chinese herbal medicine database and the compound information database,combining HIT、TCMSP、BATMAN-TCM、NPASS、TCMID and with literature, the search for the active ingredients of the herb was conducted,the eligible ingredients were obtained after screening through the SwissADME.The component targets after removing duplicates were predicted by SwissTargetPrediction;The Genecards and OMIM were queried and mined for genes related to HF and the intersecting targets for HF treatment with Clinacanthus nutans.Than,using the String and Cytoscape to construct a protein-protein interaction network and hub targets for network screened by CytoHubba plugin. Meanwhile,We futher performed GO functional and KEGG pathway enrichment analyses.AutoDock Vina was used to perform molecular docking between the core active components of Clinacanthus nutans and the key targets of HF. Results:27 active ingredients, 437 drug targets, 3479 disease targets and 260 intersecting targets of Clinacanthus nutans.The compounds with a higher degree value are 3-Hydroxy-9-methoxypterocarpan、isolariciresinol、α-tocospirone、Maackiain、Beta-Sitosterol.10 anti-hepatiticfibrosis core targets were predicted :HRAS、SRC、PIK3CA、PIK3CB、PIK3CD、PTPN11、MAPK1、MAPK3、PDGFRB and RAF1A.A total of 3354 GO items and 173 pathways were obtained by gene enrichment analysis (P < 0.05).Molecular docking verified the main active components and core targets has good combining ability. Conclusion:The treatment of HF can be achieved through multi-molecules, mutalti-targets, multi-channel and multi-action mechanisms.

To fulfill the increasing energy demands of the world through renewable energy sources requires the utilization of a highly efficient large-scale electrochemical energy storage device. A hybrid Supercapacitor (HSC) that consists of a battery-type electrode coupled with the counter capacitive electrode, while in principle offering supercapacitor-like power and cyclability values and higher energy density can be a potential device as a large-scale energy storage device to cater to the energy needs through renewable energy sources. The KCo 0.5Ni 0.5PO 4 electrode demonstrated a notably enhanced electrochemical performance attributed to the synergistic interaction of Co 2+ and Ni 2+ ions in a phosphate framework. The incorporation of redox-mediated diffusive charge storage through the incorporation of Ni 2+ on the Co 2+ site resulted in a large-scale charge storage capacity coupled with capacitive-type surface charge storage on the KCo 1-xNi xPO 4 electrodes. The KCo 0.5Ni 0.5PO 4 delivers 173 mAh/g (capacitances: 1038 F/g) at a current density of 0.5A/g in an aqueous 2M KOH electrolyte accompanied by cyclic stability up to 5000 cycles. HSC mode consists of Activated Carbon as the negative electrode along with KNi 0.5Co 0.5PO 4 as the positive electrode displaying high energy density and power density of 183.7 Wh/kg and 7952W/kg respectively, in 2M aqueous KOH electrolyte. The superior full performance in HSC mode makes KCo 0.5Ni 0.5PO 4 a potential positive electrode for the development of high-performing HSCs.

Objectives - This comprehensive study investigates the diverse bacterial species responsible for upper respiratory tract infections, their impact on different age groups, clinical diagnoses, and antibiotic resistance patterns. Design -A prospective analysis was conducted to uncover the intricate connections between various bacterial infections and their corresponding effects on a large patient population. Setting -The study’s methodology involved thorough clinical assessments to monitor respiratory diseases, culminating in the classification of bacteria and their microbial growth Participants :- . Of the 1,003 participants, 514 were found to be infected, with the 16-39 age group being the most affected. The primary clinical diagnoses included acute tonsillopharyngitis, acute tonsillitis, acute pharyngitis and acute laryngitis . Main outcome measures :- The findings underscore the respiratory system’s susceptibility to infection due to its exposure to airborne microorganisms. Results :- Analysis of 1,003 cases revealed that Streptococcus mitis had the highest infection rate across all age groups, particularly in cases of cold cough and sore throat. Other common bacteria identified were Streptococcus parasanguinis and Streptococcus sanguinis. The study aimed to assess the susceptibility of these infectious microorganisms to various medications, with Vancomycin, linezolid, and bacitracin exhibiting 100% sensitivity, while carbimoxazole displayed the highest resistance at 84%. Methicillin-resistant Staphylococcus aureus was identified as the most resistant strain, with a maximum resistance of 57.86% against all tested medications. Conclusion : This comprehensive investigation provides valuable insights into the relationship between infection and bacterial strain resistance, paving the way for the development of new therapeutic strategies.

Direction of arrival (DOA) estimation is an important issue for radar and communication applications. Monopulse is widely used to obtain the DOA result by the complex ratio from the sigma and delta beams of the antenna. In the case of digital array systems, various methods based on the covariance matrix of the received signal have been proposed to obtain the DOA result. However, it is impractical for tracking radar scenarios, as the covariance matrix is not easy to obtain. Nevertheless, there is merely one target echo in the vicinity of the range cell as forecasted. Thus, the Maximum Likelihood Estimator (MLE) is a relatively good estimator for tracking radar, which has high accuracy and robustness. However, MLE is often very computationally resource-intensive, as it needs to search the whole steering vector set. In this letter, in order to utilize MLE effectively, we propose an algorithm to quickly search the steering vector set by the binary tree hierarchical matching method, which can significantly reduce the computational cost. Furthermore, the computational complexity and accuracy performance have been studied from both theoretical analysis and simulation perspectives.

In order to analyze the running error of watt-hour meter, an improved hybrid neural network based on long-term and short-term memory is designed. This paper analyzes the theoretical error of watt-hour meter from three aspects, that is, the error caused by watt-hour meter operation, the error caused by internal components and the error caused by the line. In this paper, K-means clustering is used to select the index which has a great influence on the operation error of watt-hour meter, and the operation model of watt-hour meter is established. In this paper, the model is applied to the improved LSTM neural network, and the dync sliding window and attention mechanism are used to realize the daily running error analysis and error prediction. The experimental results show that the proposed scheme can effectively identify the error source of watt-hour meter and predict the error according to the operation conditions.

Irruptions in plant and animal populations are not uncommon but the factors underlying irruptions are rarely explored quantitatively. In addition, it has been suggested that these irruptions may be reduced by predators or herbivores, but there is a paucity of controlled experimental evidence. Using data from the Kenya Long-term Exclosure Experiment (KLEE), we show that populations of perennial Hibiscus spp. (primarily H. flavifolius) show multiple short-term irruptions a year after rainy periods, increasing in abundance in some cases by more than an order of magnitude before declining in ensuing months and years. We demonstrate that these irruptions are largely limited to experimental plots from which large mammalian herbivores have been excluded, particularly megaherbivores (elephants and giraffes). This represents a rare controlled replicated experimental demonstration of top-down regulation of irruptions. African elephants and giraffes are often at greater risk of local extinction than other large mammals, and their absence appears to destabilize this African savanna ecosystem, providing additional support for their conservation.

A document by Ali Chamani. Click on the document to view its contents.

A document by Francis Williams. Click on the document to view its contents.

A new type of intelligent fault diagnosis device has been designed to address the problems of low fault diagnosis accuracy, low data processing efficiency, and poor real-time performance in existing technology for electric energy metering devices. The control unit uses ATE7053 multifunctional chip to quickly integrate abnormal measurement fault data and process cloud transmitted decrypted data, providing hardware support for subsequent control fault handling alarms. In addition, the study adopts an intelligent fault alarm method to determine the current health problems of the metering equipment by transmitting them to the backend energy metering service system. By using adaptive PID control for fault alarm and adopting AC sampling algorithm to calculate the alarm threshold of the detector, the fault diagnosis capability is improved through an improved SVM algorithm. The simulation results show that the research has the highest accuracy in fault diagnosis, with a fault accuracy of over 90.76%.

Snake bite, also known as snake envenomation, is an injury caused by the bite of a snake, and it can be life threatening if the snake is venomous. Bleeding, renal failure, severe allergic response, tissue death, and breathing problems are all symptoms of chronic illnesses; in addition to the vomiting and the impaired vision, in some cases, tingling in the limbs and sweating can be seen. Snake bites are a serious health, social, and economical danger in many regions of the world, especially in the tropical and subtropical countries. The agriculture sector has the greatest occupational risk in terms of snake bites. High mortality is largely caused by inadequate health care, poor transportation facilities, and delays in administering the anti- venom, particularly in remote areas. The families, Elapidae and Viperidae contribute to the most common snake bites. The Indian spectacled cobra (Naja naja), common krait (Bungarus caeruleus), Russell’s viper (Daboia russelii), and saw-scaled viper (Echis carinatus) are the most dangerous snakes in India. The venomous effects are from a complex mixture of proteins- enzymes, nonenzymatic polypeptide toxins, and nontoxic proteins. Depending on the nature of toxin and the type of snake, the toxins are classified into neuro, cardio, and cytotoxins. This review aimed to present more perspectives regarding the venomous snakes in India, the mechanism of action of snake venom.

AbstractHydration is a fundamental aspect of maintaining and improving Healthspan, the period of life spent in good health. This study explores the importance of hydration, its impact on various physiological functions, and strategies to maintain optimal hydration levels. Drawing on recent research and expert opinions, the highlight is on how proper hydration can enhance overall well-being, support longevity, and mitigate age-related health issues. This paper will discuss the following topics related to Hydration and how it can help improve your HealthSpan:What is Hydration and why is it important?What is the connection between Hydration and Aging?How does Hydration affect us in different stages of Life?What are the strategies to maintain optimal Hydration?

Objective: Using a 3-degree-of-freedom (DOF) prosthetic foot with lateral and toe joint compliance, this study aims to evaluate the combined effects these features in prosthetic gait through gait trials on 10 non-amputated individual. Results: The addition of coronal and toe compliance had significant kinematic and muscular effects. Notably, this compliance combination reduced peak pelvis obliquity by 27%, preserved the swing stance/ratio, and decreased gluteus medius’s activation by 34% on the non prosthetic side, compared to the laterally rigid version of the prosthesis without toe compliance. Conclusions: The results underscore the importance of integrating coronal and toe compliance in prosthetic feet designs as they shows potential in improving gait metrics related to mediolateral movements and balance, while also decreasing muscle activation. Still, these findings remain to be validated in people with transtibial amputations.

Abstract To evaluate in vitro the influences of various moisturizing pretreatment approaches on the cleaning effect and mechanical properties of small reusable dental instruments. The mostly used instruments in the dental clinic, such as surgical high-speed long fissure burs, slow-speed round burs and Ni-Ti root canal instruments, were selected to analyze the effects of the pretreatment methods. In the control group, water was utilized as the moisturizer. In the experimental groups, DR. WEIGERT multi-enzyme cleaner (enzyme group) and PRE-Klenz instrument transport gel (professional moisturizer group) were used for moisturizing pretreatment, and each instrument was reused four times. The cleanliness of the instruments was observed under an optical microscope magnified 25 times and scored. Rapid Adenosine Triphosphate (ATP) testing was used to measure surface cleanliness of the instruments. Simultaneously, the surface contaminant residue and mechanical wear of instruments after last recycling were observed under a scanning electron microscope (SEM) and analyzed by the energy dispersive spectroscopy (EDS). The results showed that the professional moisturizer group demonstrated superior effects in terms of cleanliness and ATP residue detection compared with the enzyme cleaner and water groups (P < 0.05). Moreover, during the recycling of the instruments, the professional moisturizer group maintained a stable cleaning effect. The results of SEM indicated that the instruments in the professional moisturizer group had less surface contaminant residue, and the results of EDS also revealed less mechanical wear. This study provides an experimental foundation and clinical guidance for moisturizing pretreatment methods of dental instruments.

Hepatocellular carcinoma (HCC) ranks among the most lethal tumors globally, characterized by high propensity for recurrence and metastasis. Consequently, the imperative challenge is to pioneer novel pharmaceuticals and therapeutic methodologies for efficacious liver cancer treatment. In the present study, we successfully synthesized a mannose modified Graphene Oxide-PGPML nanoparticles delivery system for remodeling the HCC tumor microenvironment though targeting cancer stem cells. These mannose modified-PGPML nanoparticles possess the capability to target canncer stem cell and M2 tumor-associated macrophages (TAMs) through specific binding to mannose receptor C Type 2 (MRC2) and macrophage mannose Receptors (MMRs). Within the acidic tumor microenvironment, the PGPML nanoparticles could inhibit proliferation, migration and reverse the epithelial-mesenchymal transition (EMT), which efficiently displayed the anti-tumor efficacy with HCC tumors in vitro and in vivo. Mechanically, the PGPML nanoparticles significantly downregulated the expression of cancer stem cell marker CD133, attenuates PD-L1 expression within the tumor microenvironment (TME), thereby reducing tumor stemness characteristics, promoting T cell activation and macrophage M2-M1 repolarization to remodel TME, augments the levels of reactive oxygen species (ROS) and tumor necrosis factor-alpha (TNF-α) in tumor cells, fostering tumor cell demise. Collectively, our findings underscore that a synergistic treatment approach combining cancer stem cell-targeted therapy with immunotherapy holds promise as a potential therapeutic strategy for HCC.

This article develops duality principles applicable to originally non-convex primal variational formulations. More specifically, as a first application, we establish a convex dual variational formulation for a non-linear model in elasticity. The results are obtained through basic tools of functional analysis, calculus of variations, duality and optimization theory in infinite dimensional spaces. We emphasize such a convex dual formulation obtained may be applied to a large class of similar models in the calculus of variations. In a subsequent section, we present a global existence result for such a concerning model in elasticity. Finally, in the last sections, we develop duality principles and relaxation procedures for a related model in phase transition.

Burn injuries are associated with high morbidity and mortality, and severe burns trigger many pathophysiological reactions, such as metabolic changes, distributive shock, and inflammatory responses, which are potentially devastating to patients. Burn wound management necessitates infection prevention, anti-inflammation, pain management, and growth factor management, but there are still significant obstacles. Extracellular vesicles (EVs) are lipid bilayer vesicles secreted by a variety of cell types, including mammalian cells, plant cells, and even prokaryotes, and are widely involved in various biological processes, such as cell survival, neovascularization, and immunomodulation. EVs are abundant in components that can play a major role in different stages of wound repair and at different subcellular levels at the same stage by transporting various active contents, such as proteins and nucleic acids. Moreover, EVs are detectable in many biofluids of burn injury patients and are thus regarded as novel biomarkers for monitoring therapeutic response and predicting prognosis. In this review, the biological roles of EVs and their mechanisms of action in burn injury are summarized. The prospects and opportunities for the clinical application of EVs in burn wounds are also discussed. This review will stimulate and guide additional in-depth studies of EVs in burn wound repair, provide a new therapy for burn wounds, and provide a reference and guidance for the application of EVs in clinical wound repair.

Female zebra finches (Taeniopygia guttata) are unable to sing due to the vestigial development of forebrain song control areas such as the RA (nucleus robustus archistriatalis), a premotor nucleus of the song control pathway. In male zebra finches RA is also involved in call-based vocal communication in addition to song control. Here, we monitored the activity of RA neurons during vocal communication in freely behaving females using a miniaturized telemetric recording device combined with telemetric audio recording. Neurons in the RA region showed premotor activity associated with stack and tet calls, two innate short-range social calls produced by both sexes. RA units were active when females called to respond to a male partner’s call or to initiate a partner’s call. However, spontaneous, regularly firing units, typical of male RA, were very rare in females or, when found, showed no association with vocal output. Despite the small number of adult female RA neurons, these neurons are not functionless, but are involved in call-based communication.