In this paper, investigations are made to analyze the human body temperature during wound healing process due to surgery. Wound is considered after the skin graft. Skin graft is a technique used in plastic surgery. Skin is the first line of defense between the human and environment, it is very susceptible to damage. Internal body or core temperature (Tb) is one of the clinical vital signs along with pulse and respiratory rates. Any disturbance in body temperature will drive complexities in wound healing process. These studies are important in the mechanism of establishing the limits of thermal regulation of human body during the healing process in different situations and conditions. The Finite element method is used to analyze tissues temperature for normal tissues (donor site) and abnormal tissues (tissues after surgery). Appropriate boundary conditions have been framed. Numerical results are obtained using Crank Nicolson Method.

Manisha jain

For utilization of a certain biomass it is necessary to know its chemical composition. The present study is qualitative crude chemical analyses of nutritional value (crude compounds) such as acidity, starch, carohydrates, iron and calcium etc. from stem extracts of Tinospora cardifolia, Centella asiatica, Clerodendrum inerme and leaf extract of Ocimum sanctum, Lawsonia inermis and Piper nigrum were conducted and also separate the pigments by TLC methods. The results revealed that Tinospora cardifolia, biomolecules like starch and carbohydrates were present and elements like iron and calcium were absent. In Centella asiatica indicated the absence of biomolecules like starch and carbohydrates and only one molecules, i.e., calcium is present and iron is absent. Similarly, in Clerodendrum inerme, biomolecules like starch were absent and carbohydrates were present. Both the elements iron and calcium were absent in Clerodendrum plant extracts. In Ocimum sanctum, starch is absent carbohydrates are present, iron and calcium are absent. In Lawsonia inermis, the results are similar to Ocimum sp. i.e., only carbohydrates are present remaining starch, iron and calcium are absent in Ocimum leaf extract. Interestingly, in Piper nigrum, all chemical compounds are totally absent. Related to pigments analysis highest distance travelled pigments are carotenoids (4.3 cm) in O. sanctum and highest numbers of pigments were founded in C. inerme with six pigments and least number of pigments was recorded in O. sanctum (four) and L. inermis (four). Meanwhile, the highest Rf value recorded in O. sanctum and P. nigrum with 0.97 (chlorophyll a). Among the seven pigments in six species carotenoids, chlorophyll a and xanthophylls are common to all species but chlorophyll b, lutein, anthocyanin and lawsonin are rare to occurs in these six species for example Lawsonin occur only in P. nigrum.

Veerabhadraswamy al

Background Type 2 diabetes and obesity are serious public health concerns globally and a growing burden in Africa. Both conditions have serious repercussions on health when they co-occur, yet the extent of their co-occurrence in Africa remains unknown. Therefore, this review aimed to identify the prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa. Method A systematic search was conducted on PubMed, MEDLINE, Embase, African Index Medicus (AIM), and African Journals Online (AJOL) for observational studies that reported the prevalence of overweight and/or obesity among type 2 diabetes patients in Africa. The prevalence data from individual studies were aggregated through a random-effects meta-analysis. The I2 statistic was used to evaluate between-studies heterogeneity, while subgroup analysis and mixed-effects meta-regression were performed to identify sources of heterogeneity. We assessed publication bias using funnel plots and Egger’s test. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Results Of 1753 records retrieved, 80 articles were eligible for this review, with 74 cross-sectional studies included in the meta-analysis. The pooled prevalence of overweight and obesity was 35.6% and 25.6% respectively, while the overall prevalence of both overweight and obesity was 61.4%. Also, the pooled prevalence of both overweight and obesity across the five geographical areas in Africa ranged from 56.9% in East Africa to 88.5% in Southern Africa. Nineteen factors were significantly associated with overweight and obesity among patients with type 2 diabetes. Conclusion The high prevalence of overweight and obesity among patients with type 2 diabetes is a significant public health concern that transcends geographical boundaries within Africa. The findings from this review highlight the need for innovative weight management interventions that are tailored to the cultural context of the African setting

Emmanuel ekpor

To the editor, Hepatitis B virus (HBV) infection remains a global public health concern, with over 296 million chronic carriers worldwide and an estimated 820,000 deaths annually due to HBV-related complications such as cirrhosis and hepatocellular carcinoma (HCC). [1] While serological markers like hepatitis B surface antigen (HBsAg) and hepatitis B e antigen (HBeAg) have long been used in diagnosis and monitoring, emerging research has revealed the value of novel biomarkers in assessing disease progression, predicting treatment response, and guiding personalized care strategies.

Karishma

A simple one pot synthesis has been developed for the synthesis 1,4-dihydropyridine using an efficient and reusable silica supported MgO solid catalyst by condensation of dimedone, ethyl acetoacetate, aldehyde and ammonium acetate in methanol as a solvent at room temperature. The reactions could be carried out under mild reaction conditions with very good yield of polyhydroquinoline, up to 92%. This catalyst could be recycled very easily, which makes this methodology environmentally benign.

Shilpa sangle

Numerous initiatives to rely on new renewable energy sources, such solar electricity, have been sparked by the increased interest in global warming. With an increase in home photovoltaic (PV) panels that are available to the public, more precise calculations of energy generation are now possible. Segmenting satellite images offers a straightforward and inexpensive way to categorize solar panels..This work suggests a method for classifying and segmenting solar panels that combines the watershed algorithm with deep learning approaches. First, a Convolutional Neural Network (CNN) architecture with the ResNet, EfficientNet, and Inception architectures is used for classification. Through the fine-tuning of pre-trained networks on a heterogeneous dataset of solar panels, transfer learning improves performance. The categorization model recognizes solar panels in a variety of settings with accuracy, making maintenance and monitoring easier. After classification, the watershed method uses intensity gradients to precisely delineate solar panels from the background. Tasks like defect detection and layout optimization are made easier when deep learning-based classification and watershed segmentation are combined. The outcomes of the experiments show how well the suggested method performs in terms of segmenting and classifying solar panels under various circumstances. A flexible automated solar panel management solution is provided by the combination of deep learning and the watershed algorithm, which promotes increased sustainability and efficiency in solar energy systems.

Bakka arun kumar

India is in the midst of a severe second wave of Covid-19. As per the Global Commission for Post-Pandemic Policy by mid-April of 2021, India had manufactured nearly 17 percent of all Covid-19 vaccine doses globally. It was the world’s fourth-largest producer, after China (about 36 percent), the United States (about 22 percent) and the European Union (more than 17 percent). Even so, following a shortage of vaccines and with insufficient local production, Government of India decided to import more foreign vaccines with quicker approval process for vaccines accepted in US/EU markets. India is currently using made-in-India vaccines, namely, Covishield manufactured by Serum Institute India and Covaxin of Bharat Biotech in its COVID-19 immunisation programme. The shortcoming in the production of vaccines and its dissemination within the country urges one to understand who the local producers are and how the market is playing out. This paper looks at the evolving market structure of vaccine production in India in the textbook framework of an oligopoly market. We use secondary data sources and daily newspaper briefs.

Nandini

Front line demonstration is an appropriate means for demonstration as well as transfer of improved agricultural innovations to the farming community. Under centrally sponsored schemes on oilseed production technology under NFSM schemes, KVK Athiyasan, Nagaur-I conducted 425demonstrations on mustard covering 180 ha areaduring Rabi, 2015-16to 2019-20. The critical inputs were identified in existing production technology through discussion with farmers and on the basis of soil sampling. Lack of plant protection measures were the predominant identified causes of low productivity of oilseed crop in district Nagaur. In the same sequence the other parameters like technological impact, economical impact and extension gap were analyzed for impact assessment of frontline demonstration (FLDs) on mustard crop. The results of five consecutive years study revealed that the demonstration plots produced on an average 1954 kg/ha mustard grain yield, which was 22.51% higher compared to prevailing farmers practice (1597 kg/ha). The average increase in gross return, net return and cost of cultivation was in the tune of 22.36, 31.08 and 6.43 per cent, respectively. Further, data indicated that the average additional cost of cultivation (Rs. 1435/ha) under integrated crop management demonstrations and has fetched additional net returns of Rs. 12659 per hectare with incremental benefit: cost ratio of 0.41. The average technology gap, extension gap & technological index were found 636kg/ha, 356kg/ha and 24.44percent, respectively. The results clearly indicate the positive effect of FLDs over the existing practices.

Dr. babu lal jat

Tracing graduates has become an imperative for higher education institutions much more during the pandemic. This tracer determined the employment and employability status of the 2019 BSE graduates and identified the competencies they adequately acquired and deemed vital for work. It used descriptive design, and data were collected from the 103 graduates through a Google form with open and closed-ended questions administered between November and December 2020. Results revealed that most of the graduates had been employed in teaching and teaching-related jobs but mostly in contractual arrangements within the first and second six months after graduation. Many had their first jobs with meager salaries from the private sector. Communication, pedagogy, information communication technology, time management, and flexibility were the top competencies they adequately acquired and were beneficial in work. The study concluded that these graduates had acquired 21st-century skills in their respective degree programs. These results have corresponding implications for future research in confirming the most employable skills in secondary teaching. As recommended, classroom instruction might emphasize the development of these skills. Eventually, these become the competitive advantage and employability capitals of future graduates. Administering the licensure examination and the release of its results can be done within the first three months after graduation to lessen the cost of waiting.

Manuel caingcoy

The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in the human history before. With the current usage of social media platforms, consumers are creating and sharing more information than ever before, some of which are misleading with no relevance to reality. Automated classification of a text article as misinformation or disinformation is a challenging task. Even an expert in a particular domain has to explore multiple aspects before giving a verdict on the truthfulness of an article. In this work, we propose to use a machine learning ensemble approach for the automated classification of news articles. Our study explores different textual properties that can be used to distinguish fake contents from real. By using those properties, we train a combination of different machine learning algorithms using various ensemble methods and evaluate their performance on 4 real world datasets. Experimental evaluation confirms the superior performance of our proposed ensemble learner approach in comparison to individual learners. The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in human history before. Besides other use cases, news outlets benefitted from the widespread use of social media platforms by providing updated news in near real-time to its subscribers. The news media evolved from newspapers, tabloids, and magazines to a digital form such as online news platforms, blogs, social media feeds, and other digital media formats. It became easier for consumers to acquire the latest news at their fingertips. Facebook referrals account for 70% of traffic to news websites. These social media platforms in their current state are extremely powerful and useful for their ability to allow users to discuss and share ideas and debate over issues such as democracy, education, and health. However, such platforms are also used with a negative perspective by certain entities commonly for monetary gain and in other cases for creating biased opinions, manipulating mindsets, and spreading satire or absurdity. The phenomenon is commonly known as fake news.

Kamal singh

Gaucher Disease (GD) is the most common lysosomal storage disorder. The prevalence of GD is approximately 1/100,000, and type III GD accounts for 5% of cases. [1] It is an autosomal recessive disease due to a GBA gene mutation, leading to glucocerebrosidase enzyme deficiency. [1,2] Gaucher disease (GD) is categorized into three types according to clinical presentation: [3] Type I, which is non-neuronopathic and most common, particularly among Ashkenazi Jews; Type II, which is acute neuronopathic and marked by significant neurological involvement and high mortality rates; and Type III, which is subacute neuronopathic, exhibiting both systemic and neurological symptoms. In this report, we discuss a 24-year-old man from Libya diagnosed with GD type III. His diagnosis was established at the age of one due to symptoms including pallor, poor appetite, and hepatosplenomegaly. Laboratory tests indicated a hemoglobin level of 5.6 g/dL, chitotriosidase activity of 18,742 μmol/L, and an angiotensin-converting enzyme level of 251 UI/L. Genetic analysis confirmed a homozygous L444P mutation. He underwent splenectomy at the age of three, and enzyme replacement therapy (ERT) was administered intermittently with regular follow-ups until 2011. In December 2023, the patient experienced two weeks of abdominal pain, distension, and fatigue. A physical examination revealed ascites, dilated abdominal veins, and an enlarged liver and spleen.

Karishma

Introduction/aims: Maturity-Onset Diabetes of the Young (MODY) is a monogenic non-autoimmune diabetes with 14 different genetic forms. MODY-related mutations are rarely found in the Tunisian population. Here, we explored MODY related genes sequences among seventeen unrelated Tunisian probands qualifying the MODY clinical criteria. Materials and methods: The GCK and HNF1A genes were systematically analyzed by direct sequencing in all probands. Then, clinical exome sequencing of 4,813 genes was performed on three unrelated patients. Among them, 130 genes have been reported to be involved in the regulation of glucose metabolism, β-cell development, differentiation and function. All identified variants were analyzed according to their frequencies in the GnomAD database and validated by direct sequencing. Results: We identified the previously reported GCK mutation (rs1085307455) in one patient. The clinical features of the MODY2 proband were similar to previous reports. In this study, we revealed rare and novel alterations in GCK (rs780806456) and ABCC8 (rs201499958) genes with uncertain significance. We also found two likely benign alterations in HNF1A (rs1800574) and KLF11 (rs35927125) genes with minor allele frequencies similar to those depicted in public databases. No pathogenic variants have been identified through clinical exome analysis. Conclusions: The most appropriate patients were selected, following a strict clinical screening approach, for genetic testing. However, the known MODY1-13 genes could not explain most of the Tunisian MODY cases, suggesting the involvement of unidentified genes in the majority of Tunisian affected families.

Mariam moalla

The current study is carried out to evaluate the antiemetic activity of methanol extracts of five leguminous plants leaves viz., Cassia siamea Lamk., Cyamopsis tetragonoloba Taubert., Delonix regia Rafin., Samanea saman Merr. and Vigna trilobata Verdc. at a dose of 150 mg/kg body weight orally, using a chick emesis model. Emesis was induced in male chicks by the oral administration of copper sulphate (50 mg/Kg body weight). The antiemetic activity was determined by calculating the mean decrease in the number of retching as compare with the control. All the extracts showed antiemetic activity when compared with standard drug chlorpromazine (150 mg/kg body weight orally). Among all extracts, Delonix regia showed the highest (96.74%) and Cassia siamea lowest (18%) antiemetic activity.

Dr. salman ahmed

Introduction: The university experience often brings various personal and academic challenges that can negatively impact students’ mental health. This research aimed to evaluate the effect of a mindfulness program on stress, anxiety, depression, sleep quality, social support, and life satisfaction among university students. Methods: A quasi-experimental study was conducted with 128 participants, divided into experimental and waiting list control groups. The experimental group participated in a mindfulness meditation program consisting of 12 weekly sessions. Pre-test and post-test measurements were performed using the Perceived Stress Scale (PSS-10), the Zung Self-Rating Anxiety Scale (SAS), the Zung Self-Rating Depression Scale (SDS), the Pittsburgh Sleep Quality Index (PSQI), the Medical Outcomes Study Social Support Survey (MOS-SS), and the Satisfaction with Life Scale (SWLS) to assess the variables. Results: The experimental group showed statistically significant differences between the study phases and the groups after the intervention for all the variables examined (p < 0.05). The effect sizes calculated using the HC3 model were stress (η2 = 0.376), anxiety (η2 = 0.538), depression (η2 = 0.091), sleep quality (η2 = 0.306), social support (η2 = 0.704), and life satisfaction (η2 = 0.510). The mindfulness program was shown to be effective in reducing levels of stress, anxiety, and depression while also improving sleep quality, social support, and life satisfaction in college students. Conclusion: These findings indicate that mindfulness meditation may be valuable for enhancing psychological well-being in educational settings.

Paul alan arkin alvarado-garcia

In this work a set of some cyclic peroxy ketals were tested for their antimalarial activities. Quantitative structure activity relationship (QSAR) analysis was applied to 20 organic compounds of the above mentioned derivatives using Physicochemical, informational and 2D-autocorelation parameters and modeled their antimalarial activity (logIC 50) values. The multiple regression analysis clearly indicates that 5 BIC, 1 IC, MATS4v and ST parameters yielded the best model having R 2 value of 0.9515. The predictive powers of the models were explained using LOO (Leave-One-Out) Cross validation procedure. The results are also discussed on the basis of ridge regression.

Dr. shweta sharma

Mobile Ad-hoc Network (MANET) owing to their very open characteristics are being very attractive and adaptive. With the openness comes security issues to be dealt. The most usual attack in mobile ad-hoc network is the black-hole attack. It advertises false path as shortest and newest to the destined node. On gathering packets containing data will drop them and does not send it to the destination. This paper proposes an algorithm to overcome such an attack under Ad-hoc On-demand Distance Vector (AODV) routing protocol in MANETs. The proposal aims to detect and avoid black-hole attack by using the parameters of AODV routing protocol in its enhanced form of route recovery. The proposed algorithm has two different scenarios, where first comes the detection then the avoidance. The simulation results are obtained from NS -2 to authenticate the effectiveness of proposed technique in comparison with the existing protocols in the existence of black-hole attack with respect to change in simulation end time and active number of attackers. The implementation is assessed based on delay, delivery ratio, drop, overhead, throughput and packet forwarding ratio. The results obtained from network simulator are mapped to form a dataset, which is then validated on a modelled fuzzy inference system using MatLab software.

Fahmina taranum

Over the previous many years, India has taken a few While India has done well in guaranteeing access steps to accomplish its objectives towards universalization and universalisation of pre-essential, essential and of instruction. Past training changes, supported by auxiliary schooling, it is falling behind in numerous focal and state government plans and approaches, boundaries, for example, nature of instructing learning have helped in advancing access and value results, enrolments in advanced education and the and inch nearer to the predefined 2030 targets. Nature of abilities granted to its childhood. While free intercessions in the space of financing, development and innovation have been seen before, a durable methodology embracing each of the three switches are, numerous a period, missing in framework wide mediations. This paper examines key arrangements across these three switches that hold critical guarantee for India and gives proposals to states and different entertainers to accomplish 2030goals by utilizing these arrangements in a brought together way.

Dr gedam kamalakar

Consumption of energy drinks was significantly associated with sleep problems, which are progressively used regardless of negative health effects particularly among adolescents and young adults. The goal of this study is to examine the relationship between energy drinks and sleep patterns on college students by more than one parameter. Target number of students was taken to be 1 000 participants and the study reached 434 participants were invited via self-administered questionnaire at Libyan International Medical University students during 2020 and 2021 in all levels which consisted of 20 questions and the main measurements are dependency, negative effect of energy drink and effect of energy drink on sleep. The results showed that the consumption prevalence rate of energy drinks amongst participants is 59.4%. The majority of participants enrolled in this study are male (52.5%) and 47.5% were female students. In conclusion: energy drinks consumption is a risk factor of poor sleep quality between Libyan International Medical University students. An awareness must be increased about energy drinks consumption to confirm the relation to sleep quality and general health.

Mediterranean journal of pharmacy and pharmaceutical sciences

Background Type 2 diabetes and obesity are serious public health concerns globally and a growing burden in Africa. Both conditions have serious repercussions on health when they co-occur, yet the extent of their co-occurrence in Africa remains unknown. Therefore, this review aimed to identify the prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa. Method A systematic search was conducted on PubMed, MEDLINE, Embase, African Index Medicus (AIM), and African Journals Online (AJOL) for observational studies that reported the prevalence of overweight and/or obesity among type 2 diabetes patients in Africa. The prevalence data from individual studies were aggregated through a random-effects meta-analysis. The I2 statistic was used to evaluate between-studies heterogeneity, while subgroup analysis and mixed-effects meta-regression were performed to identify sources of heterogeneity. We assessed publication bias using funnel plots and Egger’s test. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Results Of 1753 records retrieved, 80 articles were eligible for this review, with 74 cross-sectional studies included in the meta-analysis. The pooled prevalence of overweight and obesity was 35.6% and 25.6% respectively, while the overall prevalence of both overweight and obesity was 61.4%. Also, the pooled prevalence of both overweight and obesity across the five geographical areas in Africa ranged from 56.9% in East Africa to 88.5% in Southern Africa. Nineteen factors were significantly associated with overweight and obesity among patients with type 2 diabetes. Conclusion The high prevalence of overweight and obesity among patients with type 2 diabetes is a significant public health concern that transcends geographical boundaries within Africa. The findings from this review highlight the need for innovative weight management interventions that are tailored to the cultural context of the African setting

Emmanuel ekpor

A 55‑year‑old male patient who has undergone physiotherapy sessions on and off for about 6 months has been admitted to the hospital for the recurrence of back pain along with it he has slight breathing issues while performing day‑to‑day activities, especially in forward bending activity and has been treated with pain killers and muscle relaxants during the medication periods. The patient is feeling better again, but his symptoms continue to worsen. Later, he was referred to a pulmonologist for additional evaluation after presenting with decreased diaphragm excursion, which was causing a disordered breathing pattern. He was treated with medication and referred to additional rehabilitation for low back pain management after a thorough physical examination that also included checking the patient's core and deep breathing muscles Activities of Daily Living (ADL) activities. Keywords: Chronic low back ache, diaphragm excursion and lumbar mobility, diaphragmatic breathing exercise

Nagaraj sibbala