Keeping an in depth tab of recent folks or folks on chair with bound health conditions for his or her health and safety is a very important task. With maturity, weak bones and weakness because of alternative health connected problems could lead to will increase risk of falling. A supervisor might not continually be on the market with them and if correct assistance is not provided at the correct time it should cause larger health considerations which will need extra resources for treatment. For this purpose we've projected a wise IOT Fall Detection System exploitation acceptable sensors that square measure integrated facilitate|to assist} report these incidents to assist avail help at the correct time to forestall additional injury to health. The same system uses sensors like associate degree measuring system to live the speed of the person, a rotating mechanism to live the person’s orientation so as to live their stability, a load sensing element once the system is employed by an individual employing a chair to live their weight, a Wi-Fi module and a microcontroller that sends the general readings to alert the involvedthose that shall give with the right suggests that to assist the person in want. The microcontroller receives all the info from the sensors and perpetually transmits and monitors the acceleration and also the orientation of the person. Any fast abrupt modification within the system which will result from a fall is taken into account as a ‘fall’ and is reported . a serious concern would be that not all fast movement may end up from a fall and be thought of as a matter of concern. To avoid this warning a napbutton is provided to snooze the system. This button will be ironed before a definite time say 15-30 seconds to prevent the system from causation the alert, thus avoiding any confusion and panic. this method will be mounted to the person’s chair or will be created compact to be created into a wearable device which will be worn on the hand.
The share of renewable energy share in India's energy mix of India has been increasing recently owing to the promotion and implementation of various government policies that promote the use of renewable sources of energy, depleting fossil fuel levels, increasing fuel prices, and stringent laws for emission reduction worldwide. The increase in the use of solar-evacuated-tube-collector-based domestic water heating is the result of this transition from conventional to nonconventional sources of energy. The recent urban agglomeration is challenging to install these solar water heaters in every household because the roof space is limited. Space reduction can be achieved by reducing the collector area by varying the diameter of the evacuated tubes. This study used a single tube and tank arrangement model with a fixed inclination to achieve a thermosyphon effect in a solar water heating system with three different diameter configurations of 48 mm, 54 mm, and 72 mm, with a tube measuring 1800 mm in length. Thermal assessment of the thermosyphon-based evacuated tube-solar water heater using the ANSYS CFD simulation software involves measuring the temperature at three different positions in the tank to study the thermosyphon initialization. This study signifies that the 72-mm-diameter evacuated tube is more capable of initializing the thermosyphon effect in the system. Nevertheless, the final temperature of the system is better achieved in the 48-mm-diameter evacuated tube
Inflammation is a natural aspect of the immune system's response. Pain, redness, heat or warmth, and swelling are the four major symptoms of inflammation. Plants can generate a vast range of phytochemical substances as secondary metabolites, all of which have anti-inflammatory properties. Herbal medicines are significant cures for the treatment of a variety of disorders around the world. Medicinal plants are made up of roughly 7500 species, with representatives from about 17,000 higher flowering plant species. Even when synthetic chemistry has advanced beyond expectations, the utilization of natural products in the production of medications utilized in modern medicine is unrivalled. Anti-inflammatory medicines can help to reduce tissue damage and improve patient comfort by interfering with the pathophysiology of inflammation. As a result of the huge number of species available for investigation, the effective creation of new naturally occurring anti-inflammatory medications relies mostly on a multidisciplinary approach to finding new compounds. Despite the fact that many review articles have been written in this area, the vast majority of them only looked at the subject from a regional perspective. Various non-steroidal anti-inflammatory medicines have been proven to alleviate pain and inflammation by inhibiting the isoform of cyclooxygenase enzyme's digestion of arachidonic acid, hence lowering prostaglandin synthesis. Non-steroidal anti-inflammatory medicines come with a slew of negative side effects. Thus, there are, however, medicinal herbs that have anti-inflammatory therapeutic properties with a little or no negative side effects.
Mediterranean journal of pharmacy and pharmaceutical sciences
BACKGROUND AND OBJECTIVES: The requirements of stakeholders for the qualitative transformation of the approaches of industrial enterprises – environmental users to introduction of economic activities cause an increase in the role of environmental responsibility as their strategic priority for development. The purpose of the study is to improve the practical tools for calculating and developing strategies for the development of environmental responsibility of industrial enterprises. METHODS: In the study, tools for assessing the level of environmental initiative of an industrial enterprise as an integrated indicator of environmental initiative are suggested. It is expressed as the arithmetic mean of ten factors of environmentally proactive behavior of industrial enterprises. To achieve the objectives of the study, methods of criterion-qualitative assessment are suggested, such as expert assessment and survey. The assessment system includes ten factors rated on a 10-point scale and weighted by significance. The integrated indicator of the environmental initiative acquires values within, is a stimulant of environmental responsibility. FINDING: One justified a scientific and methodological approach to assessing the level of environmental responsibility or the industrial enterprise, including calculation of the corresponding taxonomic indicator with consideration of the quantitative factors of its environmental responsibility and the qualitative and quantitative factors of environmental initiative. This enables the possibility to assess the relevant state of environmental responsibility and determine the volumes for further correction of the ecological strategy for the development of the industrial enterprise. CONCLUSION: As a conclusion, practical recommendations are made for the implementation of organizational and economic support of environmental responsibility in the development strategy of an industrial enterprise taking into account the impact of its environmental initiative and environmental duty. The level of environmental responsibility of industrial enterprises taken into account when developing recommendations on adjustment of their environmental strategy of development is determined, which as a whole allowed to form organizational and economic support for environmental responsibility of the enterprises under study. Thus, an enterprise, which only ensures compliance with environmental emission standards (compensation strategy or sufficiency strategy) cannot be characterized by a high level of environmental responsibility. To ensure a high level of environmental responsibility, an industrial enterprise must rely on a proactive strategy or a strategy for sustainable use of nature.
The international opioid crisis highlights the important role of pharmacists in prevention, using their availability and drug knowledge to prevent abuse. In this study, the knowledge, attitudes, and practices of Mangalore pharmacists towards preventing opioid abuse were assessed. From February to March 2025, a cross-sectional survey was done among 203 pharmacists aged 18-46 years in Mangalore using a pre-tested structured questionnaire. Data were analyzed using the Chi-square test, and thematic analysis of qualitative feedback. Pharmacists showed high knowledge, with 93.6% identifying opioids' mechanism as binding to CNS receptors correctly, 78.8% identifying naloxone's role in reversing overdose, and 70.0% knowing prescription drug monitoring programs' usefulness. Attitudes were optimistic, with 92.6% considering patient education a primary responsibility, 92.1% identifying multiple visits to the pharmacy as misuse, and 93.1% supporting medication-assisted treatment. The practice was active, with 93.1% checking prescription drug monitoring programs for suspected misuse and 69.0% advising take-back programs, but 43.8% associated early refills with misuse. Mangalore pharmacists show strong knowledge, attitudes, and practice against opioid abuse, being very strong in education and medication-assisted treatment support but having voids in misuse detection (for example, recognition of early refill) and naloxone confidence. Stronger training, better prescription drug monitoring program access, and policy adjustments can enhance their role in India's opioid strategy. Pharmacists are presented as front-line champions of opioid misuse prevention in this study, with implications for localized harm reduction.
Mediterranean journal of pharmacy and pharmaceutical sciences
Cet article montre l’analyse des erreurs dans l’enseignement/apprentissage du Français Langue Étrangère au Ghana. Il a pour objectif principal d’analyser les erreurs commises en production écrite par les étudiants de Français Langue Étrangère (FLE) à l’Université du Ghana. Le corpus a été constitué du lexique de 100 apprenants. Les instruments de collecte des données ont été les questionnaires et les rédactions/compositions. Ces derniers ont été rédigés par les étudiants des niveaux 300 et 400. Etant donné la nature de l’étude, l’approche quantitative et l’approche qualitative ont été utilisées comme mode d’investigation. L’approche qualitative porte sur le modèle de l’analyse des erreurs proposé par Corder (1967) et l’approche quantitative met en évidence des données observables et quantifiables. Les principales erreurs rencontrées dans les productions écrites des étudiants ont été celles de la morphosyntaxe. Ces erreurs commises ont été analysés. Les recommandations de notre étude ont pour but d’améliorer la production écrite en Français Langue Étrangère.
In this intelligent transportation systems era, traffic congestion analysis in terms of vehicle detection followed by tracking their speed is gaining tremendous attention due to its complicated intrinsic ingredients. Specifically, in the existing literature, vehicle detection on highway roads are studied extensively while, to the best of our knowledge the identification and tracking of heavy-construction vehicles such as rollers are not yet fully explored. More specifically, heavy- construction vehicles such as road rollers, trenchers and bulldozers significantly aggravate the congestion in urban roads during peak hours because of their deadly slow movement rates accompanied by their occupation of majority of road portions. Due to these reasons, promising frameworks are very much important, which can identify the heavy-construction vehicles moving in urban traffic-prone roads so that appropriate congestion evaluation strategies can be adopted to monitor traffic situations. To solve these issues, this article proposes a new deep-learning based detection framework, which employs Single Shot Detector (SSD)-based object detection system consisting of CNNs. The experimental evaluations extensively carried out on three different datasets including the benchmark ones MIO-TCD localization dataset, clearly demonstrate the enhanced performance of the proposed detection framework in terms of confidence scores and time efficiency when compared to the existing techniques.
Olfactory Reference Disorder (ORD) is defined by a continuous fixation on the belief that one is exuding an unpleasant or offensive body odor or breath, which is either imperceptible or only marginally detectable by others. This report describes a 26-year-old male who sought assistance due to his conviction of emitting a foul odor from his mouth and nose, prompting him to visit multiple dentists and otolaryngologists. His condition led to social withdrawal, resulting in feelings of despair and powerlessness. The Mental Status Examination (MSE) revealed a depressed mood, suicidal thoughts, and an obsession with the perceived smell. Both MRI and EEG findings were normal. The patient was diagnosed with ORD and depression based on the Yale-Brown Obsessive-Compulsive Scale – Olfactory Reference Syndrome (YBOCS-ORS) and the Hamilton Depression Rating Scale (HAM-D). He was prescribed fluoxetine at a dosage of 40 mg, along with a low dose of olanzapine. Furthermore, Cognitive Behavioral Therapy (CBT) was initiated to support his recovery. Ultimately, the patient secured employment. Although he continued to have lingering thoughts of an unpleasant odor at a low intensity, he managed to function adequately and engage in social interactions more effectively.
Salinity is a major environmental stress which has been studied extensively and has its impact on agriculture in the past, present and future. The global importance of salt affected soils can be explained by their wide distribution on all continents covering about 10% of the total land surface. At present, there are nearly 954 million ha of saline soils on earth’s surface. It is extremely difficult to quantify the social and economic costs of salt prone land and water resources. Plant Growth Promoting Rhizobacteria (PGPR) is a group of bacteria that actively colonize plant roots and increase plant growth and yield. They play an important role within the interaction between soil and plant. As plants grow on marginal soils such as saline soils, the importance of the rhizobacteria increases as they mobilize nutrients and provide tolerance ability to the plants. In the present study, an attempt was made and isolated 51 PGPR isolates (Phosphate Solubilizing Bacteria–18; Azotobacter spp.-16 and Azospirillum spp.-17) from different salt affected areas in Tamil Nadu and Puducherry. All the isolates were screened for their efficacy against different sodium salts namely sodium chloride, sodium citrate and sodium sulphate. It was observed that the absorbance of the culture broth grown in salt stress to sodium chloride decreased with increasing concentration of the salt. Similarly decrease in growth pattern in terms of the absorbance was also observed in salt stress to sodium citrate and sodium sulphate.
Penilaian autentik ini bertujuan untuk mendeskripsikan pengetahuan guru serta menggambarkantugas-tugas riil bagi siswa untuk menghasilkan pengetahuan, sikap dan keterampilan. Teknik pengumpulan data yang digunakan adalah observasi dan wawancara. Focus penelitian ini (1) bagaimana penilaian kompetensi sikap pada pembelajaran tematik di MI Darussalam 01 Bagon Puger Jember? (2) bagaimana penilaian kompetensi pengetahuan pada pembelajaran tematik di MI Darussalam 01Bagon Puger Jember?, (3) bagaimana penilaian kompetensi keterampilan pada pembelajaran tematik di MI Darussalam 01 Bagon Puger Jember? Hasil dari penelitian ini menunjukkan: (a) penilaian kompetensi sikap meliputi sikap jujur dan disiplin, dimana mudah didalam teori, namun sulit untuk menerapkannya. Tergantung dari guru favorit masing-masing, proses pembelajaran tergantung pada materi pelajarannya, dan juga berkaitan dengan nilai atau norma. (b) Penilaian kompetensi pengetahuan, meliputi: tes tulis, tes lisan, dan penugasan, baik penugasan terstruktur dan tidak terstruktur. (c) Penilaian kompetensi keterampilan meliputi: penilaian kinerja, penilaian proyek, dan penilaian portofolio.
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare domain, revolutionizing various aspects of medical research, diagnostics, treatment, and patient care. This paper provides an overview of recent developments and applications of AI in healthcare, highlighting its potential to enhance efficiency, accuracy, and accessibility in medical practices. The integration of machine learning algorithms, natural language processing, and computer vision techniques has enabled AI systems to analyze vast amounts of medical data, support clinical decision-making, and personalize treatment plans. Additionally, AI-powered technologies play a crucial role in predictive analytics, early disease detection, and the optimization of healthcare workflows. Despite the promising advancements, challenges related to data privacy, ethical considerations, and regulatory frameworks need to be addressed to fully harness the benefits of AI in healthcare.
The main purpose of this research is to know the relationship of liquidity and solvency in profitability of Ultra tech and Shree cements. Cement industry is one of the prime support services in giving work to the general population. In Ultra Tech Cement, return on equity is positively correlated with return on asset, current ratio and quick ratio and negatively correlated with debt equity ratio. In Shree Cements, return on equity is positively correlated with the independent variables. return on asset is negative weak relation with the independent variables. Current ratio is strong correlation with quick ratio and debt equity ratio
The present study is designed to determine the types of secondary metabolites in three selected seed powders using a fast, reliable, and non-destructive Near Infra Red spectroscopic analytical technique. NIRS analysis of Macrotyloma uniflorum (Lam.) Verdc., Phaseolus lunatus Linn., and Phaseolus vulgaris Linn., seed flours were used to qualitatively evaluate secondary metabolites. The fine powder of crude drug was directly applied to FOSS XDS near the infrared Rapid Content Analyzer. The adequately filled powdered sample in a disposable glass silicate vial closed with a plastic lid was centrally placed onto the Foss Rapid Content Analyzer sample presentation glass. The scanning of samples at ambient temperature gives NIR spectra within 30 seconds. The major proposed compounds in M. uniflorum were 3,4-dihydroxybenzoic acid, caffeic acid, chlorogenic acid, ferulic acid, gallic acid, kaempferol, linolenic acid, niacin, quercetin, sinapinic acid, syringic acid, and vanillic acid. Whereas coumaric acid, fructose, galactose, L-serine, raffinose, stachyose, sucrose, threonine, and tyrosine were detected in P. lunatus, and the NIR suggested the presence of caffeic acid, ferulic acid, sinapinic acid, phytic acid, leucine, and valine in P. vulgaris. NIRS is an advanced innovative technology extensively used in chemical, food, petrochemical, and pharmaceutical industries for rapid and reliable standardization. The present study revealed an excellent correlation to conclude that flour samples of all three legume seeds could be added to the food system to achieve nutritional and functional benefits.
Climate variability also has the potential to worsen existing vulnerabilities such as Malaria, HIV/AIDS and Tuberculosis. This study examined the effects of poverty diseases and adaptive capacities to climate change on farm income along river Niger in Edo and Kogi States, Nigeria. Questionnaires were collected from 358 respondents using multistage sampling techniques from Edo and Kogi States. Descriptive statistics and different functional forms of ordinary least squares (OLS) were used as analytical tools. The results revealed that increase in farm size and age will lead to 1.27% and 1.83% increase in farmers’ income respectively. The major constraints identified by the respondents were lack of funds and credit challenge (94.40%), distance to health centres (93.90%) and access to freshwater supplies (82.70%). It was concluded that the majority 83.80% of respondents had malaria diseases. The study recommends that to reduce the effect of poverty disease, there is a need for policy makers to engage communities when making decisions relating to their health.
Background: Idiopathic Parkinson's disease (PD) is a central nervous system degenerative disorder with an unknown etiology. PD is the second leading cause of neurological impairments. Exercise therapy treatment is commonly used for PD to improve health and decrease the functional limitations. Exercise therapy includes Strengthening, aerobic, agility etc.. Objective: To investigate the evidence on efcacy and limits of strength training in rehabilitation of Parkinson's disease Method: A comprehensive search on pubmed, clinical keys database using keywords Parkinson's disease, physical therapy, strength training ,resistance training. The studies including Randomized controlled trails and systematic reviews published since 2005 are reviewed. Results: 36 studies identied through database searching. 25 studies are excluded due to duplicates, irrelevance, based on titles, outcome diversity. 5 systemic reviews and Meta analysis, 6 RCT are included. Review and analysis of articles is going on Conclusion : The result of this review suggests that strength training program can be effective in people with mild and moderate parkinson's disease. It can improve functional independency with increased muscle strength, gait parameters, posture and balance, all of these positive role on participation and quality of life.
World Health Organization (WHO) estimation disclosed over 116 million girls (3.4%) area unit stricken by PCOS worldwide. The predisposing risk factors embrace genetic science, system, lifestyle/environment, fatness that contributes to the event of PCOS. it's calculable that between 5 to ten % of U.S. girls of childbearing age have PCOS. that is regarding five million girls, which makes the condition one among the foremost common secretion endocrine disorders among girls of generative age. A study to assess the prevalence of PCOS among adolescent women at hand-picked setting, Chennai. Objective: to assess the prevalence of PCOS among adolescent women. Methodology: A non-experimental descriptive analysis style was adopted during this study. The non-probability convenient sampling technique was accustomed choose the sample size of two hundred adolescent Girls. The assessment of the prevalence of PCOS was administrated employing a self-reported check list through a Googletype. A survey link was sent to the respondents, via email and WhatsApp& teams. knowledge was analyzed by descriptive and inferential statistics. Result: our Majority (36.5%) of the samples had gentle & moderate PCOS symptoms and twenty-sevenths had severe symptoms. relating to physical activity, the bulk (38%) of the samples had gentle physical activity, thirty-fourth had moderate physical activity and twenty-eighth had severe activity. There was a direct correlation between PCOS symptoms and Physical activity. There was a statistically vital relationship between PCOS symptoms with age, religion, academic standing, dietary habits, previous information, supply of data, the cycle of emission and BMI and there was a statistically vital relationship between physical activity with age, Religion, academic standing, monthly family financial gain, age at the time of start, previous information, supply of data, variety of family, Cycleof emission & BMI. Conclusion: PCOS among adolescents is a rising problem that wants careful assessment, timely intervention, and appropriate treatment. Diagnosis of PCOS in adolescence remains a challenge attributable to overlapping symptoms of PCOS with traditional time of life changes in adolescents. life-style modifications for weight reduction and dietary modifications and psychological content plays vital role in these young ladies for preventing long run complications. Keywords: Poly cystic ovarian syndrome (PCOS), Prevalence, PCOS symptoms, Physical activity, Adolescent Girls.
The study was conducted on glass slides to observe the growth patterns of urinary calcium oxalate monohydrate crystals and their inhibition using 5, 10 and 15% Phaseolus vulgaris seed infusion. For this purpose, a drop of gel medium (sodium metasilicate of 1.06 specific gravity and 3M acetic acid solution) at pH 5.02-5.17 was placed in the middle of the glass slide and converted into gel. A single drop of 1 M oxalic acid was dropped to the left, and 1 M calcium chloride and magnesium acetate (1:1) solution fell to the right side of the adequately formed gel. The glass slide was observed under microscope till it was completely dried. In the case of the crystal inhibition study, a drop of Phaseolus vulgaris infusion was also added on the right side just after adding calcium chloride and magnesium acetate solution. The results without infusion showed detailed morphology and aggregation patterns of observed crystals as donut, dumbbells, needles, platy, prismatic, rosette, round edges, and loose and compact aggregates. All infusions of Phaseolus vulgaris showed defective crystals. 5 % infusion inhibited crystals of all morphologies with their loose and compact aggregates except rosettes. Whereas 10 and 15 % infusion converted the rosette crystals into ineffective calcium oxalate dihydrate crystals of tetragonal bipyramidal and elongated rod shape. The microscopic study of calcium oxalate crystal growth and its inhibition is simple and provides rapid qualitative analysis of antiurolithiatic activity.
Social Network sites are one of the most prominent websites used in almost every facet of life. A social network reflects relationships among social entities, including acquaintances, co-workers, or co-authors. With the extreme success of Social networks, the misuse has also been escalated and unlocked the way for various illegal behavior and security threats. Social Network anomaly detection has become a critical topic to be explored by researchers. The nature of the input data is a significant aspect of an anomaly detection technique. In the field of anomaly detection in the social network, input networks can be classified as static or dynamic, Attributed or unattributed. The number of nodes and the connections between the nodes in static networks would not change with time. Attribute networks are pervasive in various domains and constitute a vital element of modern technological architecture, where node attributes support the topological structure in data exploration. While social networks build up over time, evaluating them as if they had been static is very beneficial. Numerous studies have been done for Anomaly detection, but to the best of our knowledge, research in static attributed anomaly detection has been very limited. This review tries to portray earlier research on detecting anomalies for social static attributed networks and thoroughly discusses state-of-the-art embedding approaches
Mushrooms and fenugreek are widely used to reduce hyperglycemia, and fenugreek is also used as a culinary ingredient to enhance flavor and aroma. This study is aimed at investigating the underlying mechanisms of the hypoglycemic effects of mushrooms and fenugreek in a Type 2 diabetic rat model. Adenosine monophosphate (AMP)–activated protein kinase (AMPK) functions to reduce hyperglycemia through insulin-independent pathways and protects beta-cells. Diabetic model rats were administered standard diets supplemented with 5% oyster mushroom powder (mushroom-treated (MT) group) and 5% fenugreek seed powder (fenugreektreated (FT) group) for 8 weeks. The results showed improvements in both glycemic and lipid profiles, with both oyster mushroom and fenugreek enhancing the phosphorylation of AMPK in muscle tissue. However, no effect on insulin secretion was observed. These findings suggest that both substances reduce hyperglycemia through an insulin-independent pathway. In silico analysis of both mushroom and fenugreek seed extracts revealed bioactive compounds having a strong binding affinity to α-glucosidase, which suggests mushroom and fenugreek supplements might control postprandial blood glucose levels.
The study examined psychological predictors and mediators of teacher subjective well-being. Participants included 174 teachers from urban middle and highschools. The first objective was to explore the psychological correlates of the teacher SWB: self-esteem, general self-efficacy (core self-evaluation), teacher self-efficacy, optimism (cognitive trait related to the psychological well-being), and perceived social support (psychosocial trait related to the psychological wellbeing. The second objective was to investigate the mediating role of self-efficacy in the association between optimism and subjective well-being. The third objective was to explore the mediating role of teacher self-efficacy in the relation between perceived social support and teacher subjective well-being. Correlation, linear regression and mediation model analyses through the Sobel test were computed. Results confirmed the research assumptions. The findings of this study enhance the understanding of personal factors associated with teacher subjective wellbeing. The constructs linked to subjective well-being (predictors and mediators) could be target of school psychologists’ interventions, in order to have more engaged and performing teachers in schools. The findings were discussed in the context of designing the interventions for enhancement of the subjective wellbeing among teachers.
Université Nazi Boni
Central Council For Research In Unani Medicine, Ministry Of Ayush, Government Of India, New Delhi