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Abstract With the swift advancement of technology and growing popularity of internet in business and communication, cybersecurity posed a global threat. This research focuses new Deep Learning (DL) model referred as FinSafeNet to secure loose cash transactions over the digital banking channels. FinSafeNet is based on a Bi-Directional Long Short-Term Memory (Bi-LSTM), a Convolutional Neural Network (CNN) and an additional dual attention mechanism to study the transaction data and influence the observation of various security threats. One such aspect is, relying these databases in most of the cases imposes a great technical challenge towards effective real time transaction security. FinSafeNet draws attention to the attack and reproductive phases of Hierarchical Particle Swarm Optimization (HPSO) feature selection technique simulating it in a battle for extreme time performance called the Improved Snow-Lion optimization Algorithm (I-SLOA). Upon that, the model then applies the Multi-Kernel Principal Component Analysis (MKPCA) accompanied by Nyström Approximation for handling the MKPCA features. MKPCA seeks to analyze and understand a non-linear structure of data whereas, Nyström Approximation reduces the burden on computational power hence allows the model to work in situations where large sizes of datasets are available but with no loss of efficiency of the model. This causes FinSafeNet to work easily and still be able to make accurate forecasts. Besides tackling feature selection and dimensionality reduction, the model presents advanced correlation measures as well as Joint Mutual Information Maximization to enhance variable correlation analysis. These improvements further help the model to detect the relevant features in transaction data that may present a threat to the security of the system. When tested on commonly used database for testing banks performance, for instance the Paysim database, FinSafeNet significantly improves upon the previous and fundamental approaches, achieving accuracy of 97.8%.

Abstract This study investigates the application of the multiobjective grey wolf optimizer (MOGWO) for optimal placement of thyristor-controlled series compensator (TCSC) to minimize power loss in power systems. Two conflicting objectives are considered: (1) minimizing real and reactive power loss, and (2) minimizing real power loss and TCSC capital cost. The Pareto-optimal method is employed to generate the Pareto front for these objectives. The fuzzy set technique is used to identify the optimal trade-off solution, while the technique for order preference by similarity to the ideal solution suggests multiple optimal solutions catering to diverse utility preferences. Simulations on an IEEE 30 bus test system demonstrate the effectiveness of TCSC placement for power loss minimization using MOGWO. The superiority of MOGWO is confirmed by comparing its results with those obtained from a multiobjective particle swarm optimization algorithm. These findings can assist power system utilities in identifying optimal TCSC locations to maximize their performance.

Abstract Background Tenosynovial giant cell tumor is a rare soft tissue tumor of the synovium of joint, bursae, or tendon sheath. It is divided into localized or diffuse types on the basis of the growth pattern. Localized tenosynovial giant cell tumors are usually benign and treated successfully by excision. Diffuse tenosynovial giant cell tumors, in contrast to localized type, can destroy bone and cartilage and are associated with frequent local recurrences and distant metastasis. Localized type tenosynovial giant cell tumors rarely metastasize to distant organs. Here, we report a case of localized tenosynovial giant cell tumor presenting with lung metastases and systematically review literature. Case presentation A 55-year-old Asian male presented with a dry cough, right-sided chest pain and progressive dyspnea for 1 month. At 18 months before this presentation, he had undergone excision of a painless swelling on his right index finger. The swelling recurred within 3 months of excision, and a biopsy was then suggestive of a giant cell tumor. Given the suspicion of a giant cell tumor, a wide excision of the lesion was performed and the excisional biopsy was consistent with a diagnosis of tenosynovial giant cell tumor, localized type. At admission to our hospital, the patient had tachypnoea and absent breath sounds on the right side. A chest radiograph showed a right-sided pleural effusion with a homogenous opacity in the left mid-zone. A contrast-enhanced computed tomography of the chest and abdomen showed right massive pleural effusion and bilateral multiple lobulated heterogeneously enhancing pleural-based masses with areas of internal calcification. Pleural fluid analysis revealed an exudate with no malignant cells on cytology. A lung biopsy showed osteoclast-like giant cells and mononuclear spindle cells with areas of hemorrhage and necrosis, suggesting tenosynovial giant cell tumor metastasis. A final diagnosis of localized type tenosynovial giant cell tumor of the right index finger with metastases to the lungs and pleura was made. The patient passed away after receiving three cycles of denosumab injection owing to progressive disease. Conclusion Lung metastasis is extremely rare in patients with localized tenosynovial giant cell tumor. The survival is usually poor in patients with lung metastasis. A close follow-up of patients with localized type tenosynovial giant cell tumor is necessary for early detection of pleuropulmonary complications.

Abstract This paper provides a new, less complex multilevel inverter topology that can be used for industrial loads and renewable energy sources. The arrangement consists of eight switches to produce an 11-level output voltage with two uneven input sources. Moreover, it can be connected in a cascade to increase the output voltage and number of levels even further. Due to its control mechanism, which is based on the Rotating Trapezoidal Sinusoidal Pulse Width Modulation control method for creating a high-quality output voltage, the inverter’s key characteristic is its very low harmonic distortion of 3.45% at the output voltage when compared to the advanced triangular carrier-based PWM techniques of phase disposition sinusoidal pulse width modulation (PD-SPWM) it produces harmonic distortion of 11.38% at the output voltage, phase opposition disposition sinusoidal pulse width modulation (POD-SPWM) it produces harmonic distortion of 6.43% at the output voltage, alternative phase opposition disposition sinusoidal pulse width modulation (APOD-SPWM) it produces harmonic distortion of 6.69% at the output voltage, IN-Shift sinusoidal pulse width modulation (IN-shift SPWM) it produces harmonic distortion of 3.93% at the output voltage. This inverter is commonly used in wind turbines and solar cells. The schemes are implemented in MATLAB/SIMULINK and are validated with single-phase 11-level inverter implemented by using digital signal controller (DSC).

Abstract Background Glioblastoma (GBM) is the most frequent and aggressive brain tumor in adults with the lowest survival rates five years post-diagnosis. Oncolytic viruses (OVs) selectively target and damage cancer cells, and for this reason they are being investigated as new therapeutic tools also against GBM. Methods An oncolytic herpes simplex virus type 1 (oHSV-1) with deletions in the γ34.5 neurovirulence gene and the US12 gene, expressing enhanced green fluorescent protein (EGFP-oHSV-1) as reporter gene was generated and tested for its capacity to infect and kill the murine GL261 glioblastoma (GBM) cell line. Syngeneic mice were orthotopically injected with GL261cells. Seven days post-implantation, EGFP-oHSV-1 was administered intratumorally. Twenty-one days after parental tumor challenge in the opposite brain hemisphere, mice were sacrified and their brains were analysed by immunohistochemistry to assess tumor presence and cell infiltrate. Results oHSV-1 replicates and induces cell death of GL261 cells in vitro. A single intracranial injection of EGFP-oHSV-1 in established GL261 tumors significantly prolongs survival in all treated mice compared to placebo treatment. Notably, 45% of treated mice became long-term survivors, and rejected GL261 cells upon rechallenge in the contralateral brain hemisphere, indicating an anamnestic antitumoral immune response. Post-mortem analysis revealed a profound modification of the tumor microenvironment with increased infiltration of CD4 + and CD8 + T lymphocytes, intertumoral vascular collapse and activation and redistribution of macrophage, microglia, and astroglia in the tumor area, with the formation of intense fibrotic tissue suggestive of complete rejection in long-term survivor mice. Conclusions EGFP-oHSV1 demonstrates potent antitumoral activity in an immunocompetent GBM model as a monotherapy, resulting from direct cell killing combined with the stimulation of a protective adaptive immune response. These results open the way to possible application of our strategy in clinical setting.

Abstract At present, the availability of nonrenewable sources and their usage for electric vehicle technology is reducing gradually because of their disadvantages are more environmental pollution, direct effect on human health, less reliability, and taking more time to start functioning. So, in this article, the proton exchange membrane fuel cell (PEMFC) is considered for the automotive application because of its advantages quick startup, more power density, more safety to handle, high efficiency, and capability of operating at very low operational temperature conditions. However, the drawback of PEMFC is very difficult to identify the accurate MPP position of the fuel system. Here, the improved variable step genetic algorithm is added with the adaptive neuro-fuzzy inference system for tracking the operational point of the proposed system with high efficiency. These hybrid MPPT controller features are easy to understand, more accurate, have a better dynamic response, and have low design complexity. The evaluated proposed MPPT controller operational efficiency, and settling time of the converter voltage at different fuel stack temperature conditions are 98.7402%, and 0.01607 s respectively. Finally, the boost converter is used in this work to enhance the voltage supply capability of the entire system. The proposed system is investigated by applying the MATLAB tool.

Abstract Smart elevators provide substantial promise for time and energy management applications by utilizing cutting edge artificial intelligence and image processing technology. In order to improve operating efficiency, this project designs an elevator system that uses the YOLO model for object detection. Compared to traditional methods, our results show a 15% improvement in wait times and a 20% reduction in energy use. Due to the elevator’s increased accuracy and dependability, users’ qualitative feedback shows a high degree of pleasure. These results imply that intelligent elevator systems can make a significant contribution to more intelligent building management. Due to the elevator’s increased accuracy and dependability, users’ qualitative feedback shows a high degree of pleasure. These results imply that intelligent elevator systems can make a significant contribution to more intelligent building management. The successful integration of artificial intelligence (AI) and image processing technologies in elevator systems presents a promising foundation for future research and development. Further advancements in object detection algorithms, such as refining YOLO models for even higher accuracy and real-time adaptability, hold potential to enhance operational efficiency. Integrating smart elevators more deeply into IoT networks and building management systems could enable comprehensive energy management strategies and real-time decision-making. Predictive maintenance models tailored to elevator components could minimize downtime and optimize service schedules, enhancing overall reliability. Additionally, exploring adaptive user interfaces and personalized scheduling algorithms could further elevate user satisfaction by tailoring elevator interactions to individual preferences. Sustainable practices, including energy-efficient designs and integration of renewable energy sources, represent crucial avenues for reducing environmental impact. Addressing security concerns through advanced encryption and access control mechanisms will be essential for safeguarding sensitive data in smart elevator systems.

Abstract In this pilot study, we investigated the utility of handheld ultrasound-guided photoacoustic (US-PA) imaging probe for analyzing ex-vivo breast specimens obtained from female patients who underwent breast-conserving surgery (BCS). We aimed to assess the potential of US-PA in detecting biochemical markers such as collagen, lipids, and hemoglobin, and compare these findings with routine imaging modalities (mammography, ultrasound) and histopathology results, particularly across various breast densities. Twelve ex-vivo breast specimens were obtained from female patients with a mean age of 59.7 ± 9.5 years who underwent BCS. The tissues were illuminated using handheld US-PA probe between 700 and 1100 nm across all margins and analyzed for collagen, lipids, and hemoglobin distribution. The obtained results were compared with routine imaging and histopathological assessments. Our findings revealed that lipid intensity and distribution decreased with increasing breast density, while collagen exhibited an opposite trend. These observations were consistent with routine imaging and histopathological analyses. Moreover, collagen intensity significantly differed (P

Abstract Simulation and implementation of a single DC-link-based three-phase inverter are investigated in this article. The primary focus is on designing a single DC-link three-phase inverter for high power applications. Unlike conventional inverters that require 600 V to generate 400 V (RMS) at the output, the proposed system achieves this with only 330 V, facilitated by a 12-terminal 1:1 transformer. The system employs Proportional Integral (PI) and Neural Network (NN) controllers to optimize performance. Various Carrier-Based Pulse Width Modulation (CB-PWM) techniques, including Phase Disposition (PD), Phase Opposition Disposition (POD), and Alternative Phase Opposition Disposition (APOD), are implemented and evaluated based on Total Harmonics Distortion (THD) concerning the Modulation Index (MI) of the inverter. The proposed inverter achieves a THD reduction to 4.8%, demonstrating superior performance compared to recent studies. The system’s performance is validated through extensive MATLAB/Simulink simulations and practical implementation using XILINX FPGA software, confirming the efficacy of the proposed design.

Abstract Proper utilization of agricultural land is a big challenge as they often laid over as waste lands. Farming is a significant occupation in any country and improving it further by promoting more farming opportunities will take the country towards making a huge leap forward. The issue in achieving this would be the lack of knowledge of cultivable land for food crops. The objective of this work is to utilize modern computer vision technology to identify and map cultivable land for agricultural needs. With increasing population and demand for food, improving the farming sector is crucial. However, the challenge lies in the lack of suitable land for food crops cultivation. To tackle this issue, we propose to use sophisticated image processing techniques on satellite images of the land to determine the regions that are capable of growing food crops. The solution architecture includes enhancement of satellite imagery using sophisticated pan sharpening techniques, notably the Brovey transformation, aiming to transform dull satellite images into sharper versions, thereby improving the overall quality and interpretability of the visual data. Making use of the weather data on the location observed and taking into factors like the soil moisture, weather, humidity, wind, sunlight times and so on, this data is fed into a generative pre-trained transformer model which makes use of it and gives a set of crops that are suitable to be grown on this piece of land under the said conditions. The results obtained by the proposed fusion approach is compared with the dataset provided by the government for different states in India and the performance was measured. We achieved an accuracy of 80% considering the crop suggested by our model and the predominant crop of the region. Also, the classification report detailing the performance of the proposed model is presented.

Abstract The influence of boundary layer flow of heat transfer analysis on hybrid nanofluid across an extended cylinder is the main focus of the current research. In addition, the impressions of magnetohydrodynamic, porous medium and thermal radiation are part of this investigation. Arrogate similarity variables are employed to transform the governing modelled partial differential equations into a couple of highly nonlinear ordinary differential equations. A numerical approach based on the BVP Midrich scheme in MAPLE solver is employed for solution of the set of resulting ordinary differential equations and obtained results are compared with existing literature. The effect of active important physical parameters like Magnetic Field, Porosity parameter, Eckert number, Prandtl number and thermal radiation parameters on dimensionless velocity and energy fields are employed via graphs and tables. The velocity profile decreased by about 65% when the magnetic field parameter values increases from 0.5 to 1.5. On the other hand increased by 70% on energy profile. The energy profile enhanced by about 62% when the Radiation parameter values increases from 1.0

Abstract Giardia duodenalis, a major cause of waterborne infection, infects a wide range of mammalian hosts and is subdivided into eight genetically well-defined assemblages named A through H. However, fragmented genomes and a lack of comparative analysis within and between the assemblages render unclear the molecular mechanisms controlling host specificity and differential disease outcomes. To address this, we generated a near-complete de novo genome of AI assemblage using the Oxford Nanopore platform by sequencing the Be-2 genome. We generated 148,144 long-reads with quality scores of > 7. The final genome assembly consists of only nine contigs with an N50 of 3,045,186 bp. This assembly agrees closely with the assembly of another strain in the AI assemblage (WB-C6). However, a critical difference is that a region previously placed in the five-prime region of Chr5 belongs to Chr4 of Be-2. We find a high degree of conservation in the ploidy, homozygosity, and the presence of cysteine-rich variant-specific surface proteins (VSPs) within the AI assemblage. Our assembly provides a nearly complete genome of a member of the AI assemblage of G. duodenalis, aiding population genomic studies capable of elucidating Giardia transmission, host range, and pathogenicity.

Abstract The present power generation corporations are working on Renewable Power Systems (RPS) for supplying electrical power to the automotive power industries. There are several categories of RPSs available in the atmosphere. Among all of the RPSs, the most general power network used for Electric Vehicles (EVs) is hydrogen fuel which is available in nature. The H2 fuel is fed to the Proton Exchange Membrane Fuel Stack (PEMFS) for producing electricity for the EV stations. The advantages of this selected fuel system are more power conversion efficiency, environmentally friendly, low carbon emissions, more power density, less starting time, plus able to work at very low-temperature values. However, this fuel stack faces the issue of a nonlinear power density curve. Due to this nonlinear power supply from the fuel stack, the functioning point of the overall network changes from one position of the I–V curve to another position. So, the peak voltage extraction from the fuel stack is not possible. In this article, there are various metaheuristic optimization-based Maximum Power Point Tracking (MPPT) methodologies are studied along with the conventional methods for obtaining the Maximum Power Point (MPP) position of the PEMFS. From the simulative investigation, the Continuous Different Slope Value-based Cuckoo Search Method (CDSV with CSM) provides better efficiency with more output power. Also, for all the MPPT methods comprehensive analysis has been made by utilizing the simulation results.

Abstract The present power generation government companies focus on Renewable Power Sources (RPS) because their features are zero carbon footprint, unlimited power source, fewer greenhouse pollutants, fewer output wastages, plus creatinga very healthy atmosphere. In this work, the sunlight source is utilized for the Photovoltaic (PV) standalone network. The merits of sunlight sources are very optimal human resources needed, unlimited natural sources, plus easy operation. However, the solar power resource is nonlinear fashion. As a result, the operating point of the sunlight network fluctuates concerning sunlight intensity. So, in this article, the Modified Grey Wolf Methodology with Adaptive Fuzzy Logic Controller (MGWM-AFLC) is introduced to maintain the operating point of the sunlight system at the global power point position of the PV array. This controller traces the MPP with very low fluctuations in the PV-produced voltage. The advantages of this proposed method arefewer sensing devices required, less difficulty in development, more useful for rapid changes inthe sunlight temperatures, simpler to realize operation, greater economic growth, plus highly useful for household applications. The sunlight set-up generation voltage is lowwhich is improved by introducing the new Wide Power Rating High Voltage DC-DC Boost Converter (WPRHVBC). The features of this WPRHV converter are low voltage strain on semiconductor devices, few passive elements are enough to develop the circuit, plus easy understanding.

Abstract At present, conventional energy production is absent because of the more hazardous gases released into the environment, the high effect on human health, more cost required for maintenance, plus less usefulness for highly populated areas. So, the Renewable Energy Sources are more focused for the present automotive industry application. In this work, the Proton Exchange Membrane Fuel Stack is considered for analyzing the proposed DC–DC converter circuit. The advantages of this fuel stack are high energy density, fast functioning nature, more robustness, and more usefulness for the various water membrane conditions of the fuel stack. However, the disadvantages of the fuel stack are excessive current generation, plus more current conduction losses. So, the wide voltage supply single switch power converter is introduced in this work for optimizing the current production of the fuel stack network. The merits of this converter circuit are high stability, good reliability, low voltage appearing across the switches, plus a uniform power supply. Here, the converter switching pulses are obtained by proposing the Modified Continuous Step Change Adaptive Fuzzy Logic with Grey Wolf Optimization hybrid controller. This controller provides high maximum power extraction efficiency from the fuel stack which is equal to 99.421%. Also, this controller's Maximum Power Point Tracking time is 0.0285 s.

Abstract From the power generation history, the nonrenewable power sources utilization is falling extremely because of their demerits are high atmospheric pollution, more expensive, more catchment area for development, high fossil fuel transportation cost, less flexibility, and reliability. So, the sunlight systems are utilized in this work for feeding the power to the central grid. On the earth, the sunlight energy availability is more and it is more flexible for the installation. However, the sunlight photovoltaic (PV) module’s power production is very low. To improve the power generation of the PV network, a modified slider maximum power point tracking (MPPT) controller is proposed in the first objective and it is interfaced with the sunlight system for capturing more sunlight insolation thereby moving the functioning point of the solar system from local MPP place to required global MPP place. The features of this sliding controller are continuous peak power production, easy development, less power dissipation losses, plus good dynamic system response. In the second objective, the available voltage of the PV is low which improved from low level to high level by utilizing the Wide voltage supply-inductor coupled converter. The development of this circuit needed very less inductive, plus capacitive components. Also, it is developed by selecting a single switch. As a result, the entire network power production cost is reduced. In the third objective, a two-leg inverter is proposed for the transformation of the DC voltage supply into three-phase powers. The MATLAB/Simulink tool is used to investigate the overall system.

Background: The COVID-19 pandemic has exacerbated mental health challenges among medical students, already a vulnerable group to mental health disorders. Recent evidence underscores a significant rise in anxiety, depression, and stress among this demographic globally, necessitating a deeper understanding of their mental health status and effective interventions. Objective: This study aims to assess the socio-demographic profile, prevalence rates of depression, anxiety, and stress, as well as coping strategies employed by medical students during the COVID-19 pandemic, with a focus on identifying effective interventions for managing their mental health crises. Methods: A cross-sectional study was conducted among 1st to 4th year MBBS students at ACSR Government Medical College, Nellore, during August and September 2020. Data were collected online using Google Forms, incorporating demographic details and the Depression, Anxiety, and Stress Scale (DASS-21). Descriptive statistics and chi-square tests were utilized for data analysis. Results: The study included 400 participants, 57% of whom were female, with a mean age of 23 ± 2 years. Significant proportions reported experiencing depression (20.2%), anxiety (13%), or stress (51.3%), with notable rates of past psychiatric symptoms. Coping mechanisms included video chatting (35%) and online entertainment (32.2%), while professional help utilization was low (5.5%). COVID-19 repercussions extended beyond mental health, impacting various facets of daily life. Conclusion: This study found various mental health challenges faced by medical students during the pandemic, emphasising the need for ongoing monitoring and psychological support. Additionally, a low rate of seeking professional help was found. Early training in handling pandemic-like situations and mental health is recommended. However, further research is necessary to track mental health progression and ensure accurate diagnosis through individual clinical assessments.

Abstract In the last few decades, researchers have thoroughly studied the use of plants in Palestine, one of them is Cyclamen persicum Mill. (C. persicum). Cyclamen persicum has been historically cultivated since the 1700s due to its tuber. The tuber is known to stimulate the nasal receptors, thus triggering the sensory neurons. Cyclamen persicum has anti-inflammatory effects, reduces cholesterol levels, treats diabetes, and inhibits tumor growth. In this respect, in-vitro examination of antibacterial and anticancer activities and antioxidative potency of C. persicum ethanolic extract were evaluated. The antioxidative potency of the extracted plant material was determined spectrophotometrically using the DPPH free radical scavenging method and the HPLC–PDA method to evaluate its total phenolic content (TPC) and total flavonoid content (TFC). The experimental results demonstrated limited antibacterial activity of C. persicum extract against both gram negative (E. coli) and gram positive (Streptococcus and S. aureus) bacterial strains, with the observed zones of inhibition measuring less than 8 mm. On the other hand, powerful activity against MCF7 breast cancer as well as HT29 colon cancer cell lines was obtained. The findings also revealed potent inhibition of free radicals and the presence of maximal levels of natural products such as phenolic compounds and flavonoids, which supportits biological activities and powerful ability to scavenge free radicals. HPLC results showed the presence of numerous flavonoid and phenolic compounds such as rutin, chlorogenic acid, kaempferol, trans-cinnamic acid, quercetin, sinapic acid, and p-coumaric acid.

The therapy for complicated appendicitis presents a clinical challenge, as it is characterised by inflammation with a contained or localised perforation that results in the formation of an abscess. This case report describes the presentation, diagnosis, and effective non operative management of a 14-year-old girl with acute complex appendicitis. Investigations and clinical examination confirmed the presence of an appendicular abscess in the patient, who exhibited characteristic symptoms. The treatment course adhered to the Ochsner-Sherren protocol, which included fluid resuscitation, broad-spectrum intravenous antibiotics, and a Nil Per Oral (NPO) status. An ultrasound-guided aspiration of periappendicular pus indicated that an empirical upgrade to Piperacillin + Tazobactam was necessary. The patient showed improvement in all symptoms, including fever and abscess resolution, after the switch in antibiotics. This case adds to the increasing body of research that supports non operative therapy for complex appendicitis, particularly when assisted by diagnostic tools such as ultrasonography. The decision to forego emergency surgery aligns with current evidence advocating for conservative strategies, which demonstrate higher success rates and lower risks of postoperative complications. Although appendectomy remains the preferred treatment for perforated appendicitis without an abscess, this case highlights the viability and effectiveness of non operative interventions in certain situations. This report emphasises the significance of customised treatment strategies based on patient presentation and clinical response, contributing to the ongoing discussion regarding the best therapy for complex appendicitis.

Introduction The primary goal of any diabetes treatment is better control of blood sugar levels. Self-care practices were found to be positively correlated with good glycaemic control, reduction of complications, and improvement in quality of life. The objectives of this study is to estimate the prevalence of self-care practices and to explore the facilitating factors and barriers in the self-management of diabetes. Methodology: The study was a community-based cross-sectional concurrent mixed method study done among the diabetic individuals residing in the urban field practice area of a Government Medical College (GMC) during October and November 2023 after obtaining approval from the Institutional Ethics Committee.The responses of 126 participants were obtained to assess the prevalence of self-care activities using a semi-structured questionnaire. 15 In-depth interviews (IDI) were conducted to know the practices and barriers to self-management of diabetes using an IDI guide. Each interview/discussion was recorded electronically after obtaining verbal consent.Quantitative data was analysed using a statistical package for social sciences (SPSS) software for descriptive statistics. The audio recordings and the field notes were transcribed and translated into English. The data were analysed thematically and were grouped into a few broad themes and sub-themes. Results: The prevalence of self-care practices was high for medication adherence and least for the foot care component. The facilitating factors for increased medication adherence, self-blood glucose monitoring, and changing dietary patterns were increased awareness, fear of complications, and following the doctor’s advice. The barriers to decreased foot care component and physical activity were health concerns, lack of awareness, busy work schedules, and cultural factors. Conclusion: The prevalence of medication adherence and self-blood glucose monitoring was the highest when compared to foot care practices. Our study results emphasized the need for awareness regarding self-care practices among diabetics.

Small bowel obstruction is a common surgical emergency due to mechanical blockage of the bowel. Though it can be caused by varied pathology, the leading cause in the developed world is intra-abdominal adhesions. We present a rare case of small bowel obstruction at 5 months of pregnancy who presented with acute pain in abdomen and vomiting, and responded to laparoscopic adhesiolysis.

BACKGROUND: Functional constipation (FC) is a common condition in children, and information on the clinical characteristics of FC in Saudi children is scarce. OBJECTIVE: Describe the clinical profile of FC in Saudi children. DESIGN: Retrospective SETTING: Hospital that provides primary, intermediate and tertiary care. PATIENTS AND METHODS: All children diagnosed with FC according to the Rome IV criteria were included and had at least one follow-up clinic visit. Demographic and clinical data collected from medical records included the age at onset, duration of constipation, clinical features, treatment modalities, and factors associated with clinical response. Descriptive statistics and Pearson's chi-squared test were used in the statistical analysis to see how categorical study variables were linked to clinical response. A P value of ≤.05 was used to report statistical significance. MAIN OUTCOME MEASURE: Compliance and clinical response to polyethylene glycol (PEG) compared with lactulose. SAMPLE SIZE: 370 children from 0.1 to 13 years of age. RESULTS: The median (IQR) age of onset was 4 (5) years and less than one year in 14%. The median (IQR) duration of constipation was 4 months (11) and less than two months in 93/370 (25%). Abdominal pain was the most commonly associated feature (44%). Screening for celiac disease and hypothyroidism was negative. A Fleet enema was the most common disimpaction method (54%) and PEG was the most common maintenance medication (63.4%). PEG was significantly better tolerated (P=.0008) and more effective than lactulose (P

Human vision depends heavily on retinal tissue. The loss of eyesight may result from infections of the retinal tissues that are treated slowly or do not work at all. Additionally, the diagnosis is susceptible to inaccuracies when a large dataset is involved. Therefore, a fully automated transfer learning approach for diagnosing diabetic retinopathy (DR) is suggested to minimize human intervention while maintaining high classification accuracy. To address this issue, we proposed a transfer learning-based trilateral attention network (TaNet) for the classification. To boost the visual quality of the DR pictures, a contrast constrained adaptive histogram equalization approach is applied. The pre-processed pictures are then segmented using a bilateral segmentation network (BiSeNet). The BiSeNet segmented the optic disc and blood vessels individually. After the completion of segmentation, the features are extracted. Feature extraction is based on the wavelet scattering transformation approach. The results of many trials were evaluated against the Messidor-2, EYEPACS, and APTOS 2019 datasets. The proposed model was created using a refined pre-trained technique and transfer learning methodology. Finally, the suggested framework was tested using efficiency assessment methods, and the classification rate was recorded as having above 98% sensitivity, specificity, precision, and accuracy. The proposed approach yields greater performance and shows enhancement towards the existing approach.

Abstract Dry gas pipelines can encounter various operational, technical, and environmental issues, such as corrosion, leaks, spills, restrictions, and cyber threats. To address these difficulties, proactive maintenance and management and a new technological strategy are needed to increase safety, reliability, and efficiency. A novel neural network model for forecasting the life of a dry gas pipeline system and detecting the metal loss dimension class that is exposed to a harsh environment is presented in this study to handle the missing data. The proposed strategy blends the strength of deep learning techniques with industry-specific expertise. The main advantage of this study is to predict the pipeline life with a significant advantage of predicting the dimension classification of metal loss simultaneously employing a Bayesian regularization-based neural network framework when there are missing inputs in the datasets. The proposed intelligent model, trained on four pipeline datasets of a dry gas pipeline system, can predict the health condition of pipelines with high accuracy, even if there are missing parameters in the dataset. The proposed model using neural network technology generated satisfactory results in terms of numerical performance, with MSE and R2 values closer to 0 and 1, respectively. A few cases with missing input data are carried out, and the missing data is forecasted for each case. Then, a model is developed to predict the life condition of pipelines with the predicted missing input variables. The findings reveal that the model has the potential for real-world applications in the oil and gas sector for estimating the health condition of pipelines, even if there are missing input parameters. Additionally, multi-model comparative analysis and sensitivity analysis are incorporated, offering an extensive comprehension of multi-model prediction abilities and beneficial insights into the impact of various input variables on model outputs, thereby improving the interpretability and reliability of our results. The proposed framework could help business plans by lowering the chance of severe accidents and environmental harm with better safety and reliability.

Abstract As of now, there are multiple types of renewable energy sources available in nature which are hydro, wind, tidal, and solar. Among all of that the solar energy source is used in many applications because of its features are low maitainence cost, less human power for handling, a clean source, more availability in nature, and reduced carbon emissions. However, the disadvantages of solar networks are continuously depending on the weather conditions, high complexity of the solar energy storage, and lots of installation place is required. So, in this work, the Proton Exchange Membrane Fuel Stack (PEMFS) is utilized for supplying the power to the local consumers. The merits of this fuel stack are high power density, ability to work at very less temperature values, efficient heat maintenance, and water management. Also, this fuel stack gives a quick startup response. The only demerit of PEMFS is excessive current production, plus very less output voltage. To optimize the current supply of the fuel stack, a Wide Input Operation Single Switch Boost Converter (WIOSSBC) circuit is placed across the fuel stack output to improve the load voltage profile. The advantages of the WIOSSBC are less current ripples, uniform voltage supply, plus good voltage conversion ratio. Another issue of the fuel stack is nonlinear power production. To linearize the issue of fuel stack, the Grey Wolf Algorithm Dependent Fuzzy Logic Methodology (GWADFLM) is introduced in this article for maintaining the operating point of the fuel cell near to Maximum Power Point (MPP) place. The entire system is investigated by utilizing the MATLAB software.

Background & Aims: Platelet-rich plasma (PRP) has emerged as a treatment for osteoarthritis (OA) and rheumatoid arthritis (RA). The aim of the current study is to assess the effect of PRP injection and its influence on interleukin-6 (IL-6) in the synovial fluid of the knee joint in OA and RA patients. Materials & Methods: Clinico-radiologically diagnosed case of OA and RA of 30 each was included during the study period of 2 years. 10 ml of patient blood collected and PRP was prepared by differential centrifugation method, and this freshly prepared PRP was injected to the affected knee joint slowly. IL-6 levels assessed in synovial fluid at pre-PRP injection and 1st, 3rd and 6th month post-PRP Injection. Pain was measured using Visual Analog Scale. Results: The mean age of the cases was 58.5 years for OA and 47.2 years for RA. Females were predominantly compared to males. Majority were Kellegren Lawrence radiological grade 3 in 15 (50%) cases, following grade 2 in 8 (26.67%) cases, grade 4 in 6(20%) cases and grade 1 in 1(3.33%) case. Mean IL-6 in OA cases was 89.5±24.5 pg/ml at pre PRP, and 66.48±23.1 pg/ml at post PRP (p

Abstract The present research aims to predict effluent soluble chemical oxygen demand (SCOD) in anaerobic digestion (AD) process using machine-learning based approach. Anaerobic digestion is a highly sensitive process and depends upon several environmental and operational factors, such as temperature, flow, and load. Therefore, predicting output characteristics using modeling is important not only for process monitoring and control, but also to reduce the operating cost of the treatment plant. It is difficult to predict COD in a real time mode, so it is better to use Complex Mathematical Modeling (CMM) for simulating AD process and forecasting output parameters. Therefore, different Machine Learning algorithms, such as Linear Regression, Decision Tree, Random Forest and Artificial Neural Networks, have been used for predicting effluent SCOD using data acquired from in situ anaerobic wastewater treatment system. The result of the predicted data using different algorithms were compared with experimental data of anaerobic system. It was observed that the Artificial Neural Networks is the most effective simulation technique that correlated with the experimental data with the mean absolute percentage error of 10.63 and R2 score of 0.96. This research proposes an efficient and reliable integrated modeling method for early prediction of the water quality in wastewater treatment.

Abstract In the present study, ZnO nanoparticles have been synthesized using an aqueous extract of shilajit. The nanoparticles were characterized using different techniques such as UV (ultraviolet–visible spectrophotometer), FTIR (Fourier transform infrared), XRD (X-ray diffraction), particle size analysis, SEM (scanning electron microscope) and EDAX (Energy-dispersive X-ray) analysis. The UV absorption peak at 422.40 nm was observed for ZnO nanoparticles. SEM analysis showed the shape of nanoparticles to be spherical, FTIR spectrum confirmed the presence of zinc atoms, particle size analysis showed the nanoparticle size, EDAX confirmed the purity of ZnO nanoparticles whereas XRD pattern similar to that of JCPDS card for ZnO confirmed the presence of pure ZnO nanoparticles. The in vitro anticancer activity of ZnO nanoparticles against the HeLa cell line showed the IC50 value of 38.60 μg/mL compared to reference standard cisplatin. This finding confirms that ZnO nanoparticles from shilajit extract have potent cytotoxic effect on human cervical cancer cell lines.

Abstract Background Necrotic enteritis (NE) is a severe intestinal infection that affects both humans and poultry. It is caused by the bacterium Clostridium perfringens (CP), but the precise mechanisms underlying the disease pathogenesis remain elusive. This study aims to develop an NE broiler chicken model, explore the impact of the microbiome on NE pathogenesis, and study the virulence of CP isolates with different toxin gene combinations. Methods This study established an animal disease model for NE in broiler chickens. The methodology encompassed inducing abrupt protein changes and immunosuppression in the first experiment, and in the second, challenging chickens with CP isolates containing various toxin genes. NE was evaluated through gross and histopathological scoring of the jejunum. Subsequently, jejunal contents were collected from these birds for microbiome analysis via 16S rRNA amplicon sequencing, followed by sequence analysis to investigate microbial diversity and abundance, employing different bioinformatic approaches. Results Our findings reveal that CP infection, combined with an abrupt increase in dietary protein concentration and/or infection with the immunosuppressive variant infectious bursal disease virus (vIBDV), predisposed birds to NE development. We observed a significant decrease (p

Abstract Quantum light emitters (also known as single photon emitters) are known to be the heart of quantum information technologies. Irrespective of possessing ideal single photon emitter properties, quantum emitters in 2-D hBN defect structures, exhibit constrained quantum light emission within the 300–700 nm range. However, this emission range cannot fully satisfy the needs of an efficient quantum communication applications such as quantum key distribution (QKD), which demands the quantum light emission in fiber optic telecom wavelength bands (from 1260 to 1625 nm) and the free space optical (FSO) (UV-C-solar blind band—100 to 280 nm) wavelength ranges. Hence, there is a necessity to tune the quantum light emission into these two bands. However, the most promising technique to tune the quantum light emitters in hBN here, is still a matter of debate and till date there is no experimental and theoretical assurances. Hence, this work will focus on one of the most promising simple techniques known as Stark electrical tuning of the quantum light emission of hBN defect structures (NBVN, VB, CB, CBVN, CBCN, CBCNCBCN complex, and VBO2). These hBN defects are designed and sandwiched as metal/graphene/hBN defect structure/graphene/metal heterostructure and electrically tuned towards FSO and fiber optic bands (tuning range from UV-C to O-band IR region) region, using constrained DFT computations. The external electric field predicted to yield an atomic bond angle tilt associated with this point defect structure creates out-of-plane dipole moments, enabling the tuning of quantum emission. This electrical tuning technique leads to a simple passive photonic component which enables easier compatibility with quantum circuits and it is found to be one of the perfect alternative solutions, which does not require much external hardware setup to implement as compared to earlier published strain induced tuning experiments.

Background: Seborrheic keratosis (SK) is a skin condition affecting the keratinocytes. Although various treatment options are available, the need for a simpler topical treatment approach is unmet. Hydrogen peroxide (HP) acts by forming free radicals and initiates apoptosis in cells. Aims and Objectives: The aim of this study was to evaluate the safety and efficacy of 30% HP in SK. Materials and Methods: This study was conducted on patients attending the Dermatology, Venereology, and Leprology at MGM Hospital attached to Kakatiya Medical College, Warangal and Government Medical College Mahabubabad, Telangana, during the period from December 2019 to May 2021. In total, 80 adult patients with SKs were enrolled. The study was approved by the Research Ethics Committee of the MGM Hospital attached to Kakatiya Medical College. This is a prospective and interventional study. Eighty patients will be treated with 30% of HP topically. A photographic record of the pre- and post-treatment appearance of lesions was maintained. Physician’s lesion assessment (PLA) score was evaluated on day 15th and 106th day after treatment. Local skin reactions (LSRs) were divided into mild, moderate, and severe categories. LSR was observed immediately after 2 weeks and 106 days of treatment. Results: Most of the patients were of middle to elderly age group. SK lesions were most common seen over the head and trunk. The dermatosis papulosa nigra variant was the most common. PLA 0 was observed by day 15 in some patients after application. Of 30% HP, faster healing rates were observed in lesions over the face, and middle aged. Conclusion: About 30% HP is a promising option for the treatment of SK.

Sub-Saharan Africa bears the largest public health burden of Kaposi sarcoma (KS), a leading cause of cancer mortality. Quality of life (QOL) assessments in cancer patients can provide information on prognosis beyond traditional biomarkers or biological measures. The prognostic value of QOL measures in patients with HIV-KS was evaluated. Prognostic associations of baseline QOL scores (by quartiles or thresholds for clinical importance) and changes in QOL scores (using minimum important difference) over the first 3 months of therapy were evaluated in 112 participants with HIV-KS randomised to receive ART, with or without chemotherapy. Cox’s regression analysis assessed the prognostic contribution of QOL scores from the EORTC QLQ-C30 questionnaire. Survival curves were generated using the Kaplan–Meier method. Baseline QOL scores did not predict overall survival. The change in the 3-month QOL scores for the global health scale, fatigue, and pain domains was prognostic; the hazard ratios were 3.88 (95% CI 1.32–11.38, p = 0.01), 3.72 (95% CI 1.61–8.62, p = 0.00) and 5.96 (95% CI 2.46–14.43, p = 0.00), respectively. QOL assessments can provide useful prognostic information in patients with HIV-KS. Patients lacking meaningful improvement early into treatment represent a population at high risk of death.

Background. Globally, pneumonia is one of the major cause of mortality and morbidity in children aged below 5 years. Lung ultrasonography (LUS) may become the next line investigation of choice before CXR and CT. Researchers have investigated the idea of employing LUS to diagnose pneumonia. Aim. To evaluate the findings of LUS in children with pneumonia and to correlate LUS findings with clinical and etiological findings in children. Methods. Study conducted in 100 children with chronic cough and fast breathing. All children undergone LUS within 24 hrs, and the data was correlated between clinical indicators and ultrasound proven pneumonia. The ROC (receiver operating characteristic curve) was drafted to estimate the cut-off values for respiratory, and laboratory variables. Results. 44% had positive LUS results. The presence of sensitivity with 88.5%, 77.45%, 95.4%, 81.6%, 79.4%, 70.45%, 84.25%, and 86.25% for the presence of fever, refusal of feeds/fluids, temperature 380C, oxygen saturation 95%, nasal flaring, grunting, chest retractions, and crepitation in children to predict the pneumonia. Leukocytosis appeared in 60% and CRP positive in 24% children. Grunting had the highest specificity of 94.66%. Chest x-ray identified 40% of pneumonia cases, while LUS identified 44% pneumonia cases. LUS had a sensitivity of 0.895 and a specificity of 0.66, and CXR had a sensitivity of 0.855 and a specificity of 0.60 to detect pneumonia. Conclusions. LUS cannot be used a sole diagnostic tool in childhood pneumonia, but it has role in the detection of complications. LUS has higher diagnostic accuracy than CXR for pneumonia diagnosis.

Pulmonary hypertension is seen in approximately 10% of infants with respiratory distress admitting to pediatric ICUs. Causes can be idiopathic or secondary to lung parenchymal or vascular diseases. Among various causes of pulmonary arterial hypertension, thiamine deficiency (TD) is one of the reversible causes. TD is still prevalent in selected parts of India. This review outlines five typical patients admitted to KIMS, Amalapuram, with thiamine-responsive acute pulmonary hypertension who responded dramatically to thiamine supplementation. It can cause life-threatening pulmonary hypertension in exclusively breastfeeding infants of mothers who are on a restricted diet predominantly consisting of polished and washed rice which can contribute to infant mortality. Thiamine administration based on clinical suspicion and echo findings leads to remarkable recovery. To tackle this fatal disease, a very high degree of awareness and thiamine supplementation in relevant geographical areas is required.

Key Clinical Message Palliative surgical resection of extra‐calvarial metastatic lesions from renal cell tumors is crucial for controlling metastatic spread, improving quality of life, and preventing associated morbidity. Careful surgical planning, including selective preoperative embolization and controlled resection around critical structures such as the sagittal sinus, is essential for successful outcomes. Cranioplasty with Titanium mesh and bone cement post‐resection can provide symptomatic relief, better cosmesis, and overall improved quality of life. Abstract Renal cell carcinomas are aggressive tumors with distant systemic disease. The calvarium appears to be an unusual and rare site for distant metastasis. The treatment modalities are challenging and out of the normal realm for the management of these tumors. We report a case of a 63‐year‐old woman with a previous history of nephrectomy who presented with symptoms of severe headaches, and swelling of bi‐frontal and bi‐parietal scalp regions due to multifocal extracalvarial disease. Preoperative bilateral superficial temporal artery embolization was performed to control the intraoperative bleeding. Surgical technique has been described with the critical steps involved, and a literature review has been conducted. Palliative tumor resection surgery was performed to improve the patient's quality of life as well as to confirm the histopathological diagnosis. Gross total resection of the extracalvarial metastatic tumor was achieved. Biopsy confirmed renal cell tumor with the clear cell subtype. The patient recovered well from her surgery with slow healing of the scalp wound. At 6‐month follow‐up, no recurrence of the extracalvarial disease was observed on serial imaging. Extracalvarial metastasis is a rare presentation in renal cell carcinoma. Considering the inherent radioresistant nature of the tumor, palliative surgical resection can be offered to control the metastatic spread, relieve agonizing pain symptoms, and to improve the quality of life. Preoperative embolization helps to decrease intraoperative blood loss. Moreover, palliative surgical resection of extracalvarial diseases helps to treat the metastasis as well as avoiding the associated morbidity that may occur if left untreated.

Objectives To investigate the efficacy, safety, pharmacokinetics and pharmacodynamics of nipocalimab in participants with moderate to severe active rheumatoid arthritis (RA) and inadequate response or intolerance to ≥1 antitumour necrosis factor agent.Methods In this phase 2a study, participants with RA seropositive for anticitrullinated protein antibodies (ACPA) or rheumatoid factors were randomised 3:2 to nipocalimab (15 mg/kg intravenously every 2 weeks) or placebo from Weeks 0 to 10. Efficacy endpoints (primary endpoint: change from baseline in Disease Activity Score 28 using C reactive protein (DAS28-CRP) at Week 12) and patient-reported outcomes (PROs) were assessed through Week 12. Safety, pharmacokinetics and pharmacodynamics were assessed through Week 18.Results 53 participants were enrolled (nipocalimab/placebo, n=33/20). Although the primary endpoint did not reach statistical significance for nipocalimab versus placebo, a numerically higher change from baseline in DAS28-CRP at Week 12 was observed (least squares mean (95% CI): –1.03 (–1.66 to –0.40) vs –0.58 (–1.24 to 0.07)), with numerically higher improvements in all secondary efficacy outcomes and PROs. Serious adverse events were reported in three participants (burn infection, infusion-related reaction and deep vein thrombosis). Nipocalimab significantly and reversibly reduced serum immunoglobulin G, ACPA and circulating immune complex levels but not serum inflammatory markers, including CRP. ACPA reduction was associated with DAS28-CRP remission and 50% response rate in American College of Rheumatology (ACR) criteria; participants with a higher baseline ACPA had greater clinical improvement.Conclusions Despite not achieving statistical significance in the primary endpoint, nipocalimab showed consistent, numerical efficacy benefits in participants with moderate to severe active RA, with greater benefit observed for participants with a higher baseline ACPA.Trial registration number NCT04991753.

Dental malocclusions have been found to disrupt the balance of oral bacteria, contributing to the development of dental caries and periodontal diseases. Utilizing Low-Level Laser Therapy (LLLT) can potentially restore biodiversity and ecological equilibrium in the oral microbiome, promoting optimal oral health. We propose that administering LLLT with a diode laser emitter emitting visible red light at a wavelength of 970±10 nm and power output of 100mW, can have a positive impact on the oral microbiome. With an exposure area of 6cm2 for a duration of 30 seconds per session (4 sessions per week), it may help prevent dental caries and periodontitis associated with dental malocclusion. We believe that LLLT has the potential to improve the biodiversity of the oral microbiome and promote good oral hygiene and integrity. This non-invasive treatment can serve as an effective therapeutic adjunct by stimulating the oral mucosa. Keywords: Dental Malocclusion, Dental Caries, Periodontitis, Low Level Laser Therapy

Abstract The purpose of this paper is to analyze the heat transfer behavior of the electromagnetic 3D micropolar tri-hybrid nanofluid flow of a solar radiative slendering sheet with non-Fourier heat flux model. The conversion of solar radiation into thermal energy is an area of significant interest as the demand for renewable heat and power continues to grow. Due to their enhanced ability to promote heat transmission, nanofluids can significantly contribute to enhancing the efficiency of solar-thermal systems. The combination of silicon oil-based silicon (Si), magnesium oxide (MgO), and titanium (Ti) nanofluids has attracted attention for their ability to improve the performance of solar-thermal systems. The present study discloses a new approach for intelligent numerical computing solving, which utilizes an MLP feed-forward back-propagation ANN and the Levenberg-Marquard algorithm. The collection of data was conducted for the purpose of testing, certifying, and training the ANN model. The Bvp4c solver in MATLAB is utilized to solve the nonlinear equations governing the momentum, temperature, skin-friction coefficient, and Nusselt number. The characteristics of numerous dimensionless parameters such as porosity parameter $$\left(K={0.0,2.0,4.0}\right)$$ K = 0.0 , 2.0 , 4.0 , vortex viscosity parameter $$\left({R}_{1}={0.5,1.0,1.5}\right)$$ R 1 = 0.5 , 1.0 , 1.5 , electric field parameter $$\left(E={0.0,0.1,0.2}\right)$$ E = 0.0 , 0.1 , 0.2 , thermal relaxation time $$\left(\Lambda ={0.01,0.10,0.20}\right)$$ Λ = 0.01 , 0.10 , 0.20 , heat source/sink parameter, $$\left(Q=-{0.3,0.0,0.3}\right)$$ Q = - 0.3 , 0.0 , 0.3 thermal radiation parameter $$\left(R={0.5,1}.{0,1.5}\right)$$ R = 0.5 , 1 . 0 , 1.5 , temperature ratio parameter $$\left({\theta }_{w}={0.5,1.0,1.5}\right)$$ θ w = 0.5 , 1.0 , 1.5 ,nanoparticle volume fraction $$\left(\phi ={0.00,0.02,0.04}\right)$$ ϕ = 0.00 , 0.02 , 0.04 on Si + MgO + Ti/silicon oil micropolar tri-hybrid nanofluida are analyzed. The ANN model engages in a process of data selection, network construction, training, and evaluation of its effectiveness through the utilization of mean square error. Tables and graphs are used to show how essential parameters affect fluid transport properties. The velocity profile is decreased by higher values of the porosity parameter, whereas the temperature profile is increased. The temperature profile is inversely proportional to higher values of the electric field parameter. The micro-rotation profiles reduced by expanding values vortex viscosity parameter. It has been determined that entropy generation and Bejan number intensifications for enlarged nanoparticle volume fraction.

Background: Neurodegenerative diseases primarily afflict the elderly and are characterized by a progressive loss of neurons. Oxidative stress is intricately linked to the advancement of these conditions. This study focuses on Phoenix dactylifera (P. dactylifera; Family: Arecaceae), commonly known as “Ajwa,” a globally cultivated herbal plant renowned for its potent antioxidant properties and reported neuroprotective effects in pharmacological studies. Method: This comprehensive systematic review delves into the antioxidant properties of plant extracts and their phytochemical components, with a particular emphasis on P. dactylifera and its potential neuroprotective benefits. Preferred reporting items for systemic reviews and meta-analysis (PRISMA) were employed to review the articles. Results: The study includes 269 articles published in the literature and 17 were selected after qualitative analysis. The growing body of research underscores the critical role of polyphenolic compounds found in P. dactylifera, which significantly contribute to its neuroprotective effects through antioxidant mechanisms. Despite emerging insights into the antioxidant actions of P. dactylifera, further investigation is essential to fully elucidate the specific pathways through which it confers neuroprotection. Conclusions: Like many other plant-based supplements, P. dactylifera’s antioxidant effects are likely mediated by synergistic interactions among its diverse bioactive compounds, rather than by any single constituent alone. Therefore, additional preclinical and clinical studies are necessary to explore P. dactylifera’s therapeutic potential comprehensively, especially in terms of its targeted antioxidant activities aimed at mitigating neurodegenerative processes. Such research holds promise for advancing our understanding and potentially harnessing the therapeutic benefits of P. dactylifera in neuroprotection.

Abstract We investigate the mechanism associated with the severity of COVID-19 in men with TLR7 mutation. Men with loss-of-function (LOF) mutations in TLR7 had severe COVID-19. LOF mutations in TLR7 increased the risk of critical COVID by 16.00-fold (95% confidence interval 2.40–106.73). The deleterious mutations affect the binding of SARS-CoV2 RNA (− 328.66 ± 26.03 vs. − 354.08 ± 27.70, p = 0.03) and MYD88 (β: 40.279, p = 0.003) to TLR7 resulting in the disruption of TLR7-MyD88-TIRAP complex. In certain hypofunctional variants and all neutral/benign variants, there is no disruption of TLR7-MyD88-TIRAP complex and four TLR7 agonists showed binding affinity comparable to that of wild protein. N-acetylcysteine (NAC) also showed a higher binding affinity for the LOF variants (p = 0.03). To conclude, TLR7 LOF mutations increase the risk of critical COVID-19 due to loss of viral RNA sensing ability and disrupted MyD88 signaling. Majority of hypofunctional and neutral variants of TLR7 are capable of carrying MyD88 signaling by binding to different TLR7 agonists and NAC.

Background The COVID-19 pandemic had an enormous impact on people’s quality of life worldwide. Appropriate use of facemasks is an important checkpoint in containing the spread of infection, which was believed to provide the desired level of protection and preserve the community. Given the relative novelty of facemask use in the general population, it is imperative to prioritize the promotion of appropriate facemask utilization and identify factors that may contribute to poor adherence. Aim This study assessed the factors that determined facemask use among the public. Methods A cross-sectional questionnaire-based study was conducted among the residents of the Kingdom of Saudi Arabia between November 2020 and January 2021. The current study explored the factors such as demographic characteristics influencing the knowledge and practice of proper use of facemasks. The study included a total of 198 participants. The results were derived through binomial logistic regression analysis to determine the relationship between the demographic characteristics and responses. Results The key findings of the study which are crucial in developing targeted intervention strategies to enhance the responsible use and disposal of facemasks are gender, income and employment. A significant difference was found between male and female participants regarding a positive approach to using facemasks, such as washing their hands (P = 0.042). In addition, homemakers differed significantly from students, regarding the correct usage of facemasks (P = 0.026). The study participants were aware that hand hygiene is essential when putting on and removing facemasks. Despite wearing facemasks properly, adult participants possessed less knowledge about the hazards of reusing facemasks and appropriate disposal (OR = 0.202, 95% CI [0.032–1.298]). Conclusion The present research identified gender, income, and employment as the primary attributes that play a pivotal role in the formulation of focused intervention tactics aimed at improving the cautious use and appropriate disposal of facemasks. It is essential to implement nationwide awareness activities, such as information campaigns, to enhance knowledge. Health authorities should establish a functional infrastructure for the collection and disposal of used facemasks by the general public, starting with the dissemination of knowledge. Moreover, the results of the present study have significant implications for health preventive programs aimed at preparing for future pandemics, since they highlight the specific demographic groups that should be prioritized in the development of such policies. Furthermore, it is advisable to integrate these interventional initiatives with national health polices to promote preparedness for handling future pandemics.

Advancements in brain imaging techniques have significantly expanded the size and complexity of real-time neuroimaging and behavioral data. However, identifying patterns, trends and synchronies within these datasets presents a significant computational challenge. Here, we demonstrate an approach that can translate time-varying neuroimaging data into unique audiovisualizations consisting of audible representations of dynamic data merged with simplified, color-coded movies of spatial components and behavioral recordings. Multiple variables can be encoded as different musical instruments, letting the observer differentiate and track multiple dynamic parameters in parallel. This representation enables intuitive assimilation of these datasets for behavioral correlates and spatiotemporal features such as patterns, rhythms and motifs that could be difficult to detect through conventional data interrogation methods. These audiovisual representations provide a novel perception of the organization and patterns of real-time activity in the brain, and offer an intuitive and compelling method for complex data visualization for a wider range of applications.

We investigate the dynamic volatility connectedness of geopolitical risk, stocks, bonds, bitcoin, gold, and oil from January 2018 to April 2022 in this study. We look at connectivity during the Pre-COVID, COVID, and Russian-Ukraine war subsamples. During the COVID-19 and Russian-Ukraine war periods, we find that conventional, Islamic, and sustainable stock indices are net volatility transmitters, whereas gold, US bonds, GPR, oil, and bitcoin are net volatility receivers. During the Russian-Ukraine war, the commodity index (DJCI) shifted from being a net recipient of volatility to a net transmitter of volatility. Furthermore, we discover that bilateral intercorrelations are strong within stock indices (DJWI, DJIM, and DJSI) but weak across all other financial assets. Our study has important implications for policymakers, regulators, investors, and financial market participants who want to improve their existing strategies for avoiding financial losses.

Aim: The study investigates the correlation of dental caries status with body mass index (BMI) in school children of age 3 to 16 years. Background: Obesity is a rising global health epidemic. Dental caries has been the predominant disorder in modern society. Obesity and dental caries are major health problems with multifactorial characteristics and similar risk factors, such as diet, lack of physical activity, unhealthy eating pattern, not enough sleep, and high amount of stress etc. Various studies have documented diverse outcomes linked to BMI and dental caries. Material and Methods: A cross-sectional study was implemented on 756 participants. Among the study participants, 475 (62.8%) were boys and 281 (37.2%) were girls. The decayed, missing and filled teeth (DMFT) index has been used to assess the prevalence of dental caries. Information of the study participant’s height and weight was reported using a standardized measuring scale and weighing machine; after that, the BMI was measured. SPSS version 22 was used to analyze the data. Results: The mean DMFT of the study participants in normal-weight children was 2.3. There was a positive correlation between the dental caries status and BMI, with a significant value of 0.27. Conclusion: Diet counselling and regular dental check-ups should be prescribed to prevent dental caries from occurring and monitor children’s healthy weight. Balanced nutrition needs to be provided to children by school authorities and parents.

Abstract Developing a cost-effective pseudocapacitor electrode manufacturing process incorporating binder-free, green synthesis methods and single-step fabrication is crucial in advancing supercapacitor research. This study aims to address this pressing issue and contribute to the ongoing efforts in the field by introducing ULPING (Ultra-short Laser Pulse for In-situ Nanostructure Generation) technique for effective design. Laser irradiation was conducted in ambient conditions to form a CuO/NiO hybrid structure providing a synergistic contribution to the electrical behavior of the electrode. Mainly, the effects of surface morphology and electrochemical surface because of tuning laser intensity were analyzed. The samples demonstrated high oxide formation, fiber generation, excellent porosity, and ease of ion accessibility. Owing to a less than 10-min binder-free fabrication method, the electrochemical performance of the as-fabricated electrode was 25.8 mC cm−2 at a current density of 1 mA cm−2 proved to be excellent. These excellent surface properties were possible by the simple working principle of pulsed laser irradiation in ambient conditions and smart tuning of the important laser parameters. The CuO/NiO electrode demonstrates excellent conductivity and rewarding cyclic stability of 83.33% after 8000 cycles. This study demonstrates the potential of the ULPING technique as a green and simple method for fabricating high-performance pseudocapacitor electrodes.

One of the most common errors in intraoperative medication delivery is the result of “syringe swap,” when syringes that have been mixed up lead to the incorrect administration of a drug. An improvement of syringe organization could reduce medication administration errors. Recently, there have been many efforts to improve medication organization; however, these interventions struggle to achieve widespread use, even though they typically report substantial improvements in error rates and medication awareness in home institutions.A syringe organization hub was developed based on observations, interviews, and past designs. In order to assess the perceived acceptance of the hub, we used the Technology Acceptance Model (TAM) to develop a survey that was distributed to anesthesia providers at two medical institutions in the United States: one in the Mid-Atlantic and one in the southeast.The results of the four different linear regression models revealed that participants at the southeastern institution had significantly lower usefulness ratings (p