A Study of the Role of Probiotics in Irritable Bowel syndrome

INTRODUCTION : Irritable Bowel Syndrome (IBS), the prototypical functional GI disorder, is common throughout the world and often requires care from primary care and specialist physicians. Because no etiology is found with routine treatment testing, IBS is a symptom-based diagnosis, requiring chronic abdominal discomfort / pain and abnormal bowel function; other Gastrointestinal (GI) symptoms are also common. Though it is considered as a functional bowel disorder the burden of the disease to the patient is very high and the quality of life in patients with IBS is miserable. Once an IBS sufferer has told “some of my earliest memories are sitting in the back of a car in excruciating pain during family trips and not telling anyone” and such is the quality of life in patients with IBS. IBS appear to be part of a continuum of GI and CNS (Central nervous system) reactions to external and internal stimuli. At one end of this spectrum, many people have functional GI symptoms in response to emotional stress. Many such individuals do not seek health care for these symptoms, yet others have severe symptoms with or without stress that impair their quality of life. In the absence of a biological marker, defining abnormality on the spectrum ranging from occasional, stress related GI symptoms in people not seeking care to disabling symptoms in patients with refractory IBS is controversial. AIM : The aim of our study is to evaluate the role of probiotics in Irritable bowel syndrome. MATERIALS AND METHODS : Patients with Irritable bowel syndrome fulfilling the Rome III Criteria attending the outpatient department of the Department of Medical Gastroenterology were included in the study. Patients with red flag signs, those who are already on probiotics and those who are not willing for the study are excluded from the study .Ethical clearance was obtained from the ethical committee. A written informed consent was obtained from all the patients entering the study. The study is a prospective single blind randomized controlled study. CONCLUSION : In patients with constipation predominant IBS (IBS-C), probiotics improves bloating and quality of life (QOL) when compared to placebo, however the improvement in abdominal pain and frequency of stools was not significant. In patients with diarrhea predominant IBS (IBS-D), probiotics improves the frequency of stools when compared to placebo but the improvement in abdominal pain, bloating and quality of life was not significant. Hence from our study we conclude that probiotic treatment have a definitive role in the constipation predominant IBS patients with bloating and in reducing the stool frequency in diarrhea predominant IBS with high frequency of stool passage (>5 stools/day)

Antidiabetic potential of Lantana aculeata root extract in alloxan-induced diabetic rats

The present study investigates the antidiabetic potential of dried mature roots of Lantana aculeata, a weed belonging to verbenaceae family on biochemical profile in alloxan-induced diabetic rats. The effects of an ethanolic extract of the dried mature roots of Lantana aculeata on serum glucose, total cholesterol, triglycerides, plasma insulin and liver glycogen were examined in control and experimental groups. Lantana aculeata root extract reduced the serum glucose concentration at 24, 48 and 72 hours. To verify the activity sub-chronically, the extract administered orally in the doses of 25, 50 and 100 mg/kg to diabetic rats for 30 days, that significantly reduced the level of glucose, total cholesterol and triglycerides with an increase in insulin and glycogen concentration to near normal levels in a dose-dependent manner. The results indicate that roots of Lantana aculeata possess antidiabetic potential in alloxan-induced diabetic rats. The activity might be due to high concentration of oleanolic acid present in the roots

Implementation of Driver Software of Trailer Module Chip

The aim of the project is to develop a driver software for UJA1076A SBC in embedded C using IAR Embedded Workbench and integrate the driver software with application software of Trailer module. Currently MC33903 system basis chip from Freescale is used in Trailer Module. As an initiative to reduce the material cost for the Trailer module product, a lower price SBC NXP UJA1076A has been used. Also due to the fact that the newly proposed SBC has less number of operating modes and registers to configure, it helps in making the driver software much more simpler, thus reducing the risk of hidden issues in the otherwise complex design and code of the current SBC driver software

SINGLE VERSUS MULTIPLE TRIAL VECTORS IN CLASSICAL DIFFERENTIAL EVOLUTION FOR OPTIMIZING THE QUANTIZATION TABLE IN JPEG BASELINE ALGORITHM

Quantization Table is responsible for compression / quality trade-off in baseline Joint Photographic Experts Group (JPEG) algorithm and therefore it is viewed as an optimization problem. In the literature, it has been found that Classical Differential Evolution (CDE) is a promising algorithm to generate the optimal quantization table. However, the searching capability of CDE could be limited due to generation of single trial vector in an iteration which in turn reduces the convergence speed. This paper studies the performance of CDE by employing multiple trial vectors in a single iteration. An extensive performance analysis has been made between CDE and CDE with multiple trial vectors in terms of Optimization process, accuracy, convergence speed and reliability. The analysis report reveals that CDE with multiple trial vectors improves the convergence speed of CDE and the same is confirmed using a statistical hypothesis test (t-test)

A Context-Responsive LSTM based IoT Enabled E- Healthcare Monitoring System for Arrhythmia Detection

Detecting Arrhythmia, a life-threatening cardiac condition, in real-time is crucial for timely intervention and improved healthcare outcomes. Traditional manual methods for Arrhythmia detection using Electrocardiogram (ECG) signals are error-prone and resource-intensive. To address these limitations, this paper presents an automated system based on the Context Responsive Long Short-Term Memory (CR-LSTM) model for real-time Arrhythmia classification. The system leverages IoT technology to continuously monitor vital signs and effectively combines contextual information with temporal sensor data to accurately discern different types of Arrhythmias. The CR-LSTM model achieves an impressive accuracy of 99.72% in multiclass classification of Arrhythmias, making it a promising solution for dynamic healthcare settings and proactive personalized care

Experimental Investigation on Wire Electric Erosion Behaviour of Silicon Dioxide Particulate Reinforced Composite

The intend of current study was focused on the prediction of material removal rate (MRR) and surface roughness (SR) for the AA7050-SiO2 composite during wire electric erosion or discharge machining (WEDM) process using a brass (Br) wire electrode. Here, stir casting process was employed to develop the AA7050 matrix composite with inclusion of 10wt.% SiO2 particle reinforcement. The multi-objective optimization method of Technique for order preference by similarity to ideal solution (TOPSIS) approach has been applied to find out the optimal setting of input machining parameters such as peak current (Ip), pulse-on time (Ton) and pulse-off time (Toff). Furthermore, the significant effects of parameters were identified by analysis of variance (ANOVA). Taguchi L9 (33) orthogonal design has been formulated to perform the experimental work. TOP SIS results stated that the optimal setting of Ip at 30 amps, Ton of 130 μs and Toff of 55 μs provide the better MRR with lesser SR. The ANOVA results noticed that Ip has the prime noteworthy parameter over the adopted responses having a contribution of 45.67%, followed by Ton (32.34%) and Toff (12.26%), respectively. The confirmation test was carried out by the optimal parameters setting to verify the predicted results. Finally, the scanning electron microscopy (SEM) test was carried out for the machined surface of the composite specimen and it was reveals that the formation of craters and recast layer thickness in the machined surfaces

Characterization and evaluation ethyl acetate extract of melochia corchorifolia leaf- anticancer antibiological and molecular docking studies on breast cancer estrogen receptor

188-196The present work focused on Phytochemical screening, characterization, anticancer activity and antibiological activity of ethyl acetate extract of Melochia corchorifolia leaves followed by molecular docking studies have been carried out. The plant leaves have been collected, weighed, and extracted with the soxhlet apparatus by using ethyl acetate solvent and then extracted are subjected to phytochemical screening.  Antibiological activity of plant leaves ethyl acetate extract has been tested against six bacterial and two fungal strains using agar well diffusion methodology. The characterization of phytoconstituents compounds has been carried out using various spectroscopy method such as GC-MS (Gas chromatography Mass spectroscopy), UV-visible and Fourier-transform infrared. Auto dock tool (4.2.0) is used for molecular docking studies. The phytochemical analysis of Melochia corchorifolia ethyl acetate leaves, reveals the existence of carbohydrates, glycosides, triterpenes flavonoids and alkaloids. Antimicrobial activity is effective against gram-positive bacterial strains namely Staphylococcus aureus (17 mm), Bacillus subtilis (16 mm), the gram-negative bacterial strains namely Salmonella typhi (15 mm) and E. coli (14 mm). Moreover, the extract is also found to be effective against Aspergillus Niger (18 mm) fungal species. The GC-MS and FT-IR analysis show bioactive compounds and their functional groups. UV-VIS analysis results reveal that the presence of phytoconstituents derivatives in the range between 206-350 nm. The cytotoxicity activity for the MCF-7 cell line shows that the drug efficacy IC50 value is 148.836 (μg/mL). Further, the predicted bioactive compounds are docked with the cancer estrogen protein receptor (PDB ID: 3s7s) with ligand martidin-15 one shows the highest binding affinity. The study reveals the potential of Melochia corchorifolia leaves ethyl acetate extract showed antibiological and anticancer activity

A STUDY ON ANTIMICROBIAL SENSITIVITY AND COST ANALYSIS OF ANTIBIOTICS IN PEDIATRIC UNIT AT A TERTIARY CARE HOSPITAL.

 Objectives: (1) To determine the antimicrobial susceptibility pattern in pediatrics, (2) to identify the pattern of empirical antibiotic usage, (3) to determine the cost analysis of generic antibiotic usage pattern, (4) to assess the different dosage forms of antibiotics.Methods: A retrospective observational study was carried out. The study population included the medical records of children aged day 1–15 years with bacterial infection who got admitted in the pediatric department of the hospital. The average cost for each generic dosage form of antibiotic was calculated.Result: Among the 176 cases taken for the study, sepsis (35.8%) was found to be the most common disease. Bacterial infection showed gender predominance in males (62.5%) and occurrence of sepsis was highly found in age groups of 0–1 years (55.68%). Among the 14 causative organisms, methicillin-resistant coagulase negative staphylococci (61.93%) was predominant in Gram-positive and Escherichia coli (38.06%) for Gram-negative. Highly prescribed drug for empirical therapy was considered to be amikacin (39.20%). Widely prescribed antibiotics were amikacin (21%), ceftriaxone (15.1%), ampicillin (12.34%) and meropenem (9.57%), among which meropenem was found to be of high cost.Conclusion: It should be taken care that the drug should be given not only based on the sensitivity pattern but can also consider the economic affordability of the patient, with reference to existing brands from the formulary. This would help in reducing the burden of health-care cost for the patients

Future Prospects of Large Language Models: Enabling Natural Language Processing in Educational Robotics

Large language models (LLMs) have recently shown considerable promise in educational robotics by offering generic knowledge necessary in situations when prior programming is not possible. In general, mobile education robots cannot perform tasks like navigation or localization unless they have a working knowledge of maps. In this letter, we tackle the issue of making LLMs more applicable in the field of mobile education robots by helping them to understand Space Graph, a text-based map description. This study, which focuses on LLMs, is divided into several sections. It explores basic natural language processing (NLP) techniques and highlights how they can help create smooth education discussions. Examining the development of LLMs inside NLP systems, the paper explores the benefits and implementation issues of important models utilized in the education sector. Applications useful in educational discussions are described in depth, ranging from patient-focused tools like diagnosis and treatment recommendations to systems that support education providers. We provide thorough instructions and real-world examples for quick engineering, making LLM-based educational robotics solutions more accessible to novices. We demonstrate how LLM-guided upgrades can be easily included in education robotics applications using tutorial-level examples and structured prompt creation. This survey provides a thorough review and helpful advice for leveraging language models in automation development, acting as a road map for researchers navigating the rapidly changing field of LLM-driven educational robotics