Extra-renal Wilms’ Tumor in a child: A Case Report

 Wilms’ tumor is one of the most common abdominal tumor of childhood, primarily a malignant renal tumor.  Extrarenal wilms’ tumor, however, is a rare disease, more commonly reported in Indian subcontinent. The locations of an extrarenal wilms’ tumor include retroperitoneum, uterus, skin and thorax

Unusual Presentation of Treated Colon Cancer with Extramural Venous Invasion: a Case Report

Introduction: Colon cancer is one of the leading malignancies globally and continues to be one of the most typical causes of cancer-related mortality. The clinical outcome of the disease depends on the primary tumor stage, regional nodal involvement, and distant disease dissemination. It often presents with hematogenous spread to the liver at the time of diagnosis. Another factor for increased mortality is the presence of extramural venous invasion (EMVI). This is exceedingly important as it has significant prognostic significance and helps predict survival. Case Description: A middle-aged female with a recent history of cesarean delivery presented with abdominal pain and occasional constipation, which led to a series of investigations. Initial Computed Tomography (CT) scan showed proximal to mid transverse colonic tumoral thickening with locoregional lymphadenopathy and solitary distant metastasis in the left hepatic lobe. This was followed by extended right hemicolectomy and hepatic metastasectomy.  The patient remained on follow-up and later presented with thrombus formation in the splenoportal circulation. Initially, this was considered a bland thrombus, and the patient was advised a close follow-up. However, the patient was lost to follow and later presented with extensive thrombosis of the portal and splenic veins. Practical Implications: Confident differentiation of the bland versus malignant thrombosis is crucial to ascertain disease stage and appropriate management. Invasive tissue sampling gives a confident diagnosis of benign versus malignant thrombus. However, using a noninvasive imaging modality, we can still distinguish between the two with reasonable certainty

Improvement of Abiotic Stress Tolerance in Plants with the Application of Nanoparticles

Plants are under the threat of climatic changes and there is a reduction in productivity and deterioration in quality. The application of nanoparticles is one of the recent approaches to improve plant yield and quality traits. A number of nanoparticles, such as zinc nanoparticles (ZnO NPs), iron nanoparticles (Fe2O3 NPs), silicon nanoparticles (SiO2 NPs), cerium nanoparticles (CeO2 NPs), silver nanoparticles (Ag NPs), titanium dioxide nanoparticles (TiO2 NPs), and carbon nanoparticles (C NPs), have been reported in different plant species to play a role to improve the plant physiology and metabolic pathways under environmental stresses. Crop plants readily absorb the nanoparticles through the cellular machinery of different tissues and organs to take part in metabolic and growth processes. Nanoparticles promote the activity of a range of antioxidant enzymes, including catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD), in plant species, which in turn improve the growth and development under stressful conditions. The present review focuses on the mode of action and signaling of nanoparticles to the plant systems and their positive impact on growth, development, and ROS scavenging potential. The appropriate elucidation on mechanisms of nanoparticles in plants leads to better growth and yields under stress conditions, which will ultimately lead to increased agricultural production

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Exploring the Role of Sensitive Responsiveness and Non-Directiveness in Mother-Infant Interaction: An Intervention Approach

This exploratory research study aimed to investigate mother-infant interaction, specifically focusing on sensitive responsiveness, non-directiveness, infant attentiveness, positive affect, negative affect, and liveness. The study was conducted in two phases. In Phase I, the researchers examined these aspects of mother-infant interaction, while Phase II involved implementing an intervention to enhance sensitive responsiveness and address caregiver responsiveness shortcomings. Pre and posttests were conducted to evaluate the impact of the intervention on caregivers. The study included a sample of 10 mother-infant dyads from the Gujranwala region of Pakistan, selected through purposive sampling. The participants consisted of mothers with varying levels of education and occupation, as well as infants of different ages, birth orders, and sibling status. Inclusion criteria required physically and mentally fit caregivers and infants without psychological disorders, while exclusion criteria involved infants or mothers with psychological or medical problems and second or third children based on birth order. The research instruments used in this study were the Mother-Infant Interaction Global Rating Scales (MACI) and the Circle of Security Infant Intervention (COS). Phase I involved pre-test data collection using the MACI model and video recordings of caregiver-infant interactions. Phase II implemented the Circle of Security intervention to enhance sensitive responsiveness and promote secure attachment between caregivers and children. The Circle of Security intervention comprised three sessions, with a 2-day gap between each session. Post-testing occurred one week after the intervention, utilizing the same video recording and decoding procedures. Descriptive analyses and correlations between the MACI scales were conducted. Participants provided informed consent and agreed to have their interactions recorded before and after the intervention. The study's findings underscored the significance of sensitive responsiveness, non-directive behavior, and attentiveness in mother-infant interactions. These factors were found to contribute to positive child personality development and a favorable attitude toward caregivers. The study also identified a lack of sensitive responsiveness among caregivers, which the Circle of Security intervention aimed to address

A Comparative Study of Time Fractional Nonlinear Drinfeld–Sokolov–Wilson System via Modified Auxiliary Equation Method

The time-fractional nonlinear Drinfeld–Sokolov–Wilson system, which has significance in the study of traveling waves, shallow water waves, water dispersion, and fluid mechanics, is examined in the presented work. Analytic exact solutions of the system are produced using the modified auxiliary equation method. The fractional implications on the model are examined under β-fractional derivative and a new fractional local derivative. Extracted solutions include rational, trigonometric, and hyperbolic functions with dark, periodic, and kink solitons. Additionally, by specifying values for fractional parameters, graphs are utilized to comprehend the fractional effects on the obtained solutions

Report Generation of Lungs Diseases From Chest X-ray using NLP

Pulmonary diseases are very severe health complications in the world that impose a massive worldwide health burden. These diseases comprise of pneumonia, asthma, tuberculosis, Covid-19, cancer, etc. The evidences show that around 65 million people undergo the chronic obstructive pulmonary disease and nearly 3 million people pass away from it each year that make it the third prominent reason of death worldwide. To decrease the burden of lungs diseases timely diagnosis is very essential. Computer-aided diagnostic, are systems that support doctors in the analysis of medical images. This study showcases that Report Generation System has automated the     Chest X-Ray interpretation procedure and lessen human effort, consequently helped the people for timely diagnoses of chronic lungs diseases to decrease the death rate. This system provides great relief for people in rural areas where the doctor-to-patient ratio is only 1 doctor per 1300 people. As a result, after utilizing this application, the affected individual can seek further therapy for the ailment they have been diagnosed with. The proposed system is supposed to be used in the distinct architecture of deep learning (Deep Convolution Neural Network), this is fine tuned to CNN-RNN trainable end-to-end architecture. By using the patient-wise official split of the OpenI dataset we have trained a CNN-RNN model with attention. Our model achieved an accuracy of 94%, which is the highest performance. Full Tex

Report Generation of Lungs Diseases From Chest X-ray using NLP

Pulmonary diseases are very severe health complications in the world that impose a massive worldwide health burden. These diseases comprise of pneumonia, asthma, tuberculosis, Covid-19, cancer, etc. The evidences show that around 65 million people undergo the chronic obstructive pulmonary disease and nearly 3 million people pass away from it each year that make it the third prominent reason of death worldwide. To decrease the burden of lungs diseases timely diagnosis is very essential. Computer-aided diagnostic, are systems that support doctors in the analysis of medical images. This study showcases that Report Generation System has automated the     Chest X-Ray interpretation procedure and lessen human effort, consequently helped the people for timely diagnoses of chronic lungs diseases to decrease the death rate. This system provides great relief for people in rural areas where the doctor-to-patient ratio is only 1 doctor per 1300 people. As a result, after utilizing this application, the affected individual can seek further therapy for the ailment they have been diagnosed with. The proposed system is supposed to be used in the distinct architecture of deep learning (Deep Convolution Neural Network), this is fine tuned to CNN-RNN trainable end-to-end architecture. By using the patient-wise official split of the OpenI dataset we have trained a CNN-RNN model with attention. Our model achieved an accuracy of 94%, which is the highest performance. Full Tex

PROTEIN-NUCLEIC ACID INTERFACE (PNAI) INHIBITOR DRUG MOLECULES FOR SARS-COV-2

In this research we used the structure of SARS-CoV-2 related, recently mapped, atomic structure of nsp10/16 proteins for docking with some known drug molecular structures at pH 7 and 5. Chosen molecules were azo -N=N- and -COOH derivatives. It was revealed that the molecules showed good binding energy with nsp10/16 protein at both pH. These molecules can act as protein-nucleic acid interface (PNAI) inhibitor drug molecules. Such molecules can be used in combination with polymerase and protease inhibitors for treatment of SARS-CoV-2. </p

pH Dependent Differential Binding Behavior of Prtotease Inhibitor Molecular Drugs for SARS-COV-2

In this research we used the structure of SARS-CoV-2 main protease (Mpro) for docking with Anti-HIV protease inhibitor drug molecules within pH 4-8. By carrying out the variance analysis of binding energies at pH 4-8, it was revealed that the binding energy and mode of interaction of the potential ligands with SARS-CoV-2 Mpro, was dependent on variation of pH. We found out that two of the selected protease inhibitors have differential binding characteristics with changing pH hence their binding energies and mode of interaction depends upon intracellular pH. This differential binding behavior can lead to development of pH selective potent drug molecules for binding with viral protease at lowered intracellular pH of virus infected cell. </p