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Introduction: Obesity is a global-level epidemic. Together with this disease, called chronic subclinical inflammatory disease, many other diseases, known as comorbidities, arise. Objective: To show that the association between low-level laser therapy and physical exercise is supported, by experimental and clinical studies, being an instrument that maximizes the treatment of obesity as well as its comorbidities. Conclusion: This manuscript brings a compendium of accomplished work by our group that allows understand the mechanism base of interaction between the photonic technology and the physical exercise, allowing to potentiate the treatment of the obesity.

The etiology of abdominal obesity is multifactorial and has environmental factors as its most expressive risk factors. This study cross-sectional analyzed the association of abdominal fatness with physical inactivity and food inadequacy of 1,557 subjects, both genders, over 35yrs. old, enrolled in an ongoing epidemiological study. Waist circumference (WC) was the primary variable and demographic, social-economic, anthropometric and dietary intake data, were the co-variables. NCEP-ATP III, WHO, IPAQ-long (version 8) and Healthy Eating Index were used for functional definition of variables. Furthermore, longitudinal data from 50 subjects in an exercise protocol for 10 week receiving either regular diet (G1, n=22) or 30g fiber adequacy (G2; =28), were analyzed. The performed statistical analyses used software SAS for Windows, version 9.1 with p=0.05. In a predominantly female sample (74%), 76% aging 35-60yrs, 64% completed elementary school, 73% were living in a low income household, 77.5% overweight. The 62.5% presenting altered WC values were predominantly older, presented higher body fatness, and were consuming low variety-poor quality diet rich in fat (mainly saturated) and lower in fruit. WC correlated negatively with fruit intake and aerobic capacity (VO2max) but only carbohydrate (positive) and fruit intake (negative) were considered independent risk factors for abdominal obesity. In the longitudinal study, both G1 and G2 groups were similar at baseline and G1 maintained the anthropometry values throughout the experiment. Conversely, G2 decreased total body (4%) and WC (7%) fatness, reducing severe obesity by 16%, minimally affecting overweight and eutrophic rates. G2 presented 211% increase in fiber intake and 150% increase in plasma beta-carotene (colorful-fiber marker). Thus, in conclusion, recommended dietary fiber intake (increased fruit and low CHO intake) and physical activity would be the recommended changes against abdominal obesity and, by associating both physical exercises and dietary fiber there was indeed a decrease in abdominal fatness and obesity, predominantly at its higher grade.

Introduction: Pleomorphic Carcinoma (PC) is a subset of poorly differentiated non–small cell lung cancer that is diagnostically challenging because it is a rare malignancy of the lung. It shows varying dual-cell components; spindle or giant cells and epithelial cells.Method: We report a case of 68-year-old non-smoking female who presented with cough, fever, pain in the left side of chest & weight loss of recent onset and an abnormal shadow on her chest X-ray. Computed tomography of chest revealed a well defined heterogeneously enhancing cavitatory soft tissue lesion in the posterior basal segment of the left lower lobe with mediastinal lymphadenopathy.Results: Fine needle aspiration cytology& percutaneous lung biopsy confirmed poorly differentiated malignant tumor. Patient underwent a left lower lobectomy. A diagnosis of PC was confirmed after Immunohistochemistry (IHC). Mutation analysis revealed an EGFR exon 21 mutation within the tumor cells. The patient is on Gefitinib based chemotherapy and has remained disease-free for three years post-surgery.Conclusion: PC of the lung is a rare pathological entity. Definite diagnosis may only be made on a resected tumor along with the use of IHC. Surgical resection is the main modality of the treatment. Such rare cases should be documented to establish an optimal management plan and to provide a further insight to targeted therapy.

Biological membranes present an essential constituent of living cells. Their main role is to separate the interior of a cell from its surrounding, however allowing the selective transfer of specific material through it. Configuration changes of membranes are often correlated with important biological processes [1-7].

Fact-finding Investigation for the Activation of the Legal-forensic Nursing Consultancy Desk at the Order of Nursing Professions of the Province of Avellino

A 24-year-old male presented with epistaxis and gingival bleeding, physical examination revealed pallor and purpuric spots on the left upper limb. Laboratory findings showed pancytopenia. As part of the etiological workup for pancytopenia, a bone marrow aspirate was performed, revealing moderately cellular marrow with rare megakaryocytes and intranuclear inclusions in proerythroblasts. Parvovirus B19 testing in the bone marrow was conducted via nucleic acid extraction followed by PCR.

Present piece of idea exhibits to divert attention towards automated high precision Life Support System (LSS) instead of manual one using medical intelligence devices while treating and diagnosis to the patient, where Ventilator, inhaler and respiratory control is most important factor during operation, surgeries and in other likewise medical emergency situations to maintain proper saturation in patient lungs to sustain their lives. This work gives idea, how we can design A.I based Inhaler System for the same. 

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing crop yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate the potential for increasing accuracy and automating disease identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient and accurate disease identification, especially in regions with limited access to advanced diagnostic technologies. The main goal is to develop a productive system that can recognize tomato plant diseases. The model was trained on a collection of images of healthy and damaged tomato leaves from PlantVillage using transfer learning techniques. The images from the dataset were cleansed by resizing them from 256 × 256 to 224 × 224 to match the dimensions used in pre-trained models using min-max normalization. An evaluation of VGG16, VGG19, and DenseNet121 models based on performance accuracy and loss value for 7 categories of tomatoes guided the selection of the most effective model for practical application. VGG16 achieved 84.54% accuracy, VGG19 achieved 84.62%, and DenseNet121 achieved 98.28%, making DenseNet121 the chosen model due to its highest performance accuracy. The web application development based on the DenseNet121 architecture was integrated using the Django web framework, which is built on Python. This enables real-time disease diagnosis for uploaded images of tomato leaves. The proposed system allows early detection and diagnosis of tomato plant diseases, helping to mitigate crop losses. This supports sustainable farming practices and increases agricultural productivity.

Microplastics (MPs) pose a significant risk to human health, particularly through seafood consumption. Once ingested, MPs can spread from the digestive system to other organs via phagocytosis and endocytosis, leading to toxicological effects. Accumulation of MPs in tissues causes swelling, blockages, oxidative stress, and Cytotoxicity. Studies show MPs alter metabolism, disrupt immune function, and contribute to autoimmune diseases. Chronic exposure has been linked to neurotoxicity, vascular inflammation, and increased cancer risk due to DNA damage. MPs can cross biological barriers, including the placenta, affecting fetal development. Additionally, they serve as vectors for pollutants and bacteria, further complicating health risks. MPs in the bloodstream can trigger inflammatory responses, endothelial adhesion, and red blood cell coagulation, leading to cardiovascular complications. In vitro studies indicate MPs impair renal function and cause long-term inflammation in distal tissues. Moreover, oxidative stress caused by MPs plays a critical role in carcinogenicity. Despite growing evidence of adverse health effects, further research is necessary to understand the full impact of MPs’ exposure on human health and develop effective mitigation strategies.

A poison is a substance capable of causing illness or harm to a living organism upon contact or introduction to the body. Toxins and venoms are poisons of biological origin, with the latter usually reserved to describe the bites or stings of poisonous animals. In India, the suicide rate is 18.5 suicide deaths for every 100,000 people. The majority (79%) of suicides occur in low- and middle-income countries. Ingestion of poison is one of the most common modes of suicide in low and middle-income countries such as India [1].