Background: Breast cancer is a commonly found malignancy worldwide in women, and effective treatment is regarded as a substantial clinical challenge even in the presence of several options. Extensive literature is available that demonstrates polyphenols, the richly introduced phytopharmaceuticals, as anticancer agents. Among these polyphenols, resveratrol, silibinin, quercetin, genistein, and curcumin are reported to have tremendous potential against breast cancer. However, till now, no comprehensive survey has been found about the anticarcinogenic properties of luteolin against breast cancer. Scope and approach: This review targeted the available literature on luteolin in the treatment of breast cancer, its effects in combination with other anticancer drugs, and possible mechanisms. Key findings and conclusion: Lutein's outstanding therapeutic potential in the treatment of breast cancer has been recorded not just as a chemopreventive and chemotherapeutic agent but also complemented by its synergistic effects with other anti-cancer therapies such as cyclophosphamide, doxorubicin, and NSAIDs such as celecoxib and possible underlying mechanisms. Ideally, this review will open new dimensions for luteolin as an effective and safe therapeutic agent in diminishing breast cancer.
India's hotel and hospitality industry occupancy decreased significantly in the first quarter of 2020, as the outbreak of COVID-19 affects different segments of the market. The outbreak of the novel coronavirus (COVID-19) has inflicted a blow on industries around the world, but maybe none as devastating as hospitality and travel. Depending on the length of the pandemic, companies across the industry adjusted growth forecasts for 2020, estimated profits to be conservatively 40-50 percent lower than expected before the outbreak. The effect on hospitality demand is greater than many other sectors, but even among hotels, air and cruise ships, and restaurants it is varied. Hotels and airlines operate at half capacity, with both business and leisure travelers canceling scheduled trips and not arranging any for the near future.The present article aims to study some novel practices for the survival of hospitality industries once the lockdown is over.
Despite the evolution of modern technology, the users of hearing aids do not realize the persistence of feedback, while wearing the device until the condition becomes worse. The feedback cancellation algorithms, instead of cancelling the acoustic feedback, limits speech intelligibility. The paper presents a novel method for estimation of SNR based adaptive-feedback equalizers (SBAFE) algorithm to develop an optimized hearing aid for the feedback less sound transmission and achieving better speech discrimination. The data gathered for the optimization is visualized and compared with the traditional technology, which provides the subjective and objective quality of the hearing aids.
Abstract should be times new roman with 9 fount single spacing.The main focused of Watermarking is developing and i Image Recognition is the idea of simulating the visual functions of human brain which uses human eyes as the source of input to recognize and make decisions on the objects it sees. This became possible with the advent of cameras and advanced processing technologies. The idea is to copy the features exactly present in the pattern, that the brain uses to recognize images [6]. The image in the real world are captured and pre-processed in the desired format and stored in large chunks of memories. This is to provide the recognition program to compare the new image taken with the ones that has been pre-processed and stored. The comparison is done at the pixel level of the image which is expressed in a matrix form. The image is compared with the data set stored at pixel level and the decisions are made recognizing the image. This picture recognition method becomes a smarter solution with the availability of more number of data sets. With large number of trail and errors the system will get familiar and intelligent providing best solution for computer and robot vision technologies.
This article explores the increasing prevalence of mental health disorders and the pivotal role of Artificial Intelligence (AI) in diagnosis and treatment. It highlights how AI enhances diagnostic processes, continuous monitoring, and personalized mental health care experiences. The piece showcases examples of AI applications in detecting signs of mental illness through speech and video analysis, emphasizing improved accuracy for conditions like depression, Post-traumatic stress disorder PTSD, Attention deficit hyperactivity disorder ADHD, and Autism spectrum disorder ASD. Additionally, it discusses AI's role in continuous monitoring, prediction, and addressing the shortage of psychiatrists globally. The article concludes by introducing AI-based apps designed to assist individuals in managing depression, serving as complementary tools in collaboration with healthcare professionals. Overall, it underscores the transformative impact of AI on mental healthcare, offering innovative solutions for more effective, personalized, and accessible support.
Chris and Clive have decided to keep up with the requirements of their company, to comply with the requirements of work and to keep up with the modern times by moving to a full-time business. All the shareholders have agreed to introduce advanced technology and move to a higher step to keep up with the requirements of modern times and work. We will be in this document critically analyse current existed CC MUSIC operation and information management and demonstrate an understanding of the strategic importance of information management. Evaluate the fundamental principles of information systems and the significance of a socio-technical approach to their use in CC MUSIC critically. Select and apply appropriate problem-solving and improvement approaches for information systems in CC MUSIC
Radio resource allocation in VCN is a challenging role in an intelligent transportation system due to traffic congestion. Lot of time is wasted because of traffic congestion. Due to traffic congestion, user has to miss their important work. In this paper, we propose radio resource allocation scheme so that user can utilize their time by taking the advantage of subscription plan. In this scenario, multitype vehicle identification scheme from real time traffic database is proposed, its history will match in transport database and vehicle travelling history database. Proposed method indicates 95% accuracy for multitype vehicle detection. Subscription plans are allocated to the user on the basis of resource allocation, scheduling, levelling and forecasting. This scheme is better for traffic management, vehicle tracking as well as time management.
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.
Febrile convulsions have been defined as any convulsion associated with a fever of more than 38 oC without central nervous system infection in a child aged six months to five years. Febrile convulsion can be divided into two groups of simple and complex seizures. This study aimed to determine the prevalence of febrile convulsions in Libyan children and to investigate the associated risk factors related to this type of seizure in children. 120 cases of febrile convulsions with one day - 12 years old were collected during from April to August 2022. A study has conducted in the Pediatrics Hospital in Bayda City, Libya about the prevalence of febrile convulsions in children, the data collection tool was a self-designed pre-tested validated questionnaire including general information such as age, gender, family history, and admission to the hospital. In addition, data such as body temperature, recurrent convulsion attacks, the condition of hospital admission, discharge status, the treatment in-hospital and out-hospital. The collected data were analyzed by using descriptive methods. Among the 120 children, the majority of the cases were aged between two years and five years old. The gender prevalence rate in this study was 55.0% in males and 97 of the children were hospitalized due to simple febrile seizure (80.8%), 92 of the cases with no family history of febrile convulsions (75.0%) and respiratory tract infections is the main cause of febrile convulsions. In conclusion, this study indicated that respiratory tract infections is the most common cause of febrile convulsions among Libyan children, however, a large sample study is needed to support this issue in Libya.
Mediterranean journal of pharmacy and pharmaceutical sciences
In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths world wide were attributable to exposure to particulate matter 2.5 μm (PM2.5). This study assessed the environmental burden of disease attributable to PM2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The averagePWELs for annual PM2.5 for 2000, 2008, and 2013 were 22 μg m-3, 18 μg m-3 and 24 μg m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM2.5 of 10 μg m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 % CI: 3347–12,791), COPD was between 164 and 957 (95 % CI: 95–1411), lung cancer was between 109 and 307 (95 % CI: 63–437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2–394) and stroke was between 6 and 155 deaths, ac-cording to age groups (95 % CI: 3–261). An increase in estimated health endpoints was associated with increased estimated PWEL PM2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM2.5 level to the Malaysian AirQuality Standard IT-2 would reduce the national health endpoints mortality
Cystic fibrosis is a challenging disease which creates many complications. The impact caused from cystic fibrosis on an adolescent is a challenging phase for their lives. Negative impacts like the society’s pressure, anxiety and depression are few common reasons that are being unspoken and ignored due to complexity of the disease. This study is aimed to identify the necessary gaps and educate the necessary policy makers and CF center health care team to have a better understanding about the context of the aftermath of cystic fibrosis and enhance better patient care. More over this systematic review also points out the main trends in this field of study. Qualitative study and quantitative are prominently used research methods to gain an understanding the about the gaps in the research. However, there is still a scarcity of quantitative and mixed research methods. Furthermore, limitations such as language, cultural influences were identified whilst going through the analysis. Overall through the information given in the following in this study more information regarding that warrants answers can be identified which will lead to proper care towards the teenagers who suffers from cystic fibrosis
A state in southern India called Telangana has a rich and varied cultural history. There are numerous tribes in the area, and they have long coexisted peacefully with the environment. These tribes have distinctive traditions that have been handed down through the generations. The Gond, Koya, Lambada, and Banjara are notable tribes in Telangana. Over the years, these tribes have encountered several difficulties, such as land acquisition, displacement, and a loss of cultural identity. However, via several government initiatives and community-based programs, efforts are being undertaken to maintain their culture and give them more authority. Tribal Development has been in the agenda for discussion at several levels in different forums for quite some time and continues to be an important aspect for serious deliberation in Telangana, not only because of a significant portion of the tribal population but more importantly because of the inequality of their participation, both socially and economically. The conventional wisdom that the tribal population should not be integrated with the mainline population, does not cut ice any longer as tribals themselves are eager to participate in national development and construction. A major initiative to empower the tribals, in my view is through the provision of appropriate educational opportunities to the children of the tribal families, though the aspects like infrastructural and health are identified as critical inputs. The present book tries to disclose the situation of the Scheduled Tribes in Telangana State. Various eminent scholars and students, media friends delivered their observations through their research papers. As per the observations and findings, the book contains some valuable and instant suggestions for overall development of tribes that the Telangana State Government has to play a major role in this endeavour This article critically examines initiatives for greater participation in education by tribal communities in India, arguing that current policy does not effectively enough facilitate greater participation and may, in fact, go against the avowed principle of ensuring greater equity. The article relies on fieldwork-based study to support arguments for the need to be culturally sensitive in making appropriate provisions for the education of scheduled tribes in India. Reasons for high dropout rates and non-enrolment among tribal children are examined and some searching
Numerous health and social relationship problems, namely an increased risk of contracting HIV, mortality, crime, unemployment and impaired interpersonal relationships, are related to drug dependence, with opioids at the helm. For this reason, opioid addiction is considered a major public health problem [1] and is characterized as a ‘chronic relapsing disease’ and is a major concern for public health, as are drug and alcohol addictions [1, 2]. In addition to social support and psychotherapy, treatment of opioid dependence relies on medication intake. The three main opioid-dependence treatment categories include opioid agonists, opioid antagonists, and non-opioid medications. Naltrexone hydrochloride (API), one of the most commonly used medications relies on an opioid antagonist. It reduces opioid cravings, it can be administered outside the hospital setting and cannot be abused [3]. However, during treatment several patients often forget to take a dose, doubling the next dose to compensate. In some cases, this finding in the therapeutic levels not being reached, while in other cases undesired (side) effects appear. For this reason, especially in the case of long-term treatments of numerous diseases, an extended dosing interval is recommended, so that the patient receives the drug, only once a day, instead of two or three times a day.
Mediterranean journal of pharmacy and pharmaceutical sciences
Celiac disease (CeD) is a complex disorder characterized by gastrointestinal (GI) symptoms as well as extraintestinal manifestations, sometimes difficult to diagnose. Commonly referred to as a childhood disease, adult CeD is a well-known entity that should be included in the differential diagnosis of chronic diarrhea or malabsorption syndrome. The pathogenesis involves a genetically mediated autoimmune pathway. In individuals with genetic susceptibility, the mucosa of the small intestine is damaged in response to foods containing gluten. The clinical presentation is variable and ranges from typical GI symptoms to extra-intestinal and systemic manifestations. Clinical improvement and restoration of the intestinal mucosa occur simply by eliminating gluten from the diet. We reported a case of CeD in a young man after 6 years of iron deficiency anemia (IDA), without asserting a clear etiology during this time. In our country, the search for CeD in patients with IDA is usually forgotten and we hereby put it in the spotlight.
The purpose of this study is to explore the belief of teacher educators about the relationship between teaching and research. Keeping in view the role of the teacher educators, a survey was done. The beliefs of teacher educators were explored with the help of an opinionaire. The collected data were analyzed through qualitative method of analysis. It was found that the secondary teacher educators were positive about the need of research with a little dilemma between teaching and research.
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
X-ray crystallography has been central to the development of many fields of science over the past century. It has now matured to a point that as long as good-quality crystals are available, their atomic structure can be routinely determined in three dimensions. However, many samples in physics, chemistry, materials science, nanoscience, geology, and biology are noncrystalline, and thus their three-dimensional structures are not accessible by traditional x-ray crystallography. Overcoming this hurdle has required the development of new coherent imaging methods to harness new coherent x-ray light sources. Here we review the revolutionary advances that are transforming x-ray sources and imaging in the 21st century.
This study investigated the connection between translanguaging and reading comprehension of Filipino ESL intermediate learners. The respondents were intermediate pupils enrolled in the selected central schools in Bicol, Philippines. The respondents' ages range from 8 to 12 years old, and 124 students (27.55%) were males while 326 students (72.44%) were females. The descriptive-correlational method was used in the study. The descriptive method was used to describe the reading performance of the ESL intermediate learners and their translanguaging factors, while Pearson Product Moment Correlation was used to determine the relationship between the two variables. The primary instruments used were validated teacher-made reading comprehension test and translanguage factors survey questionnaire. Data disclosed that the general reading comprehension of the ESL intermediate learners along with vocabulary, drawing inferences, and getting the main idea, are very satisfactory. Meanwhile, the different translanguaging factors, along with personal, teacher, and social, were surveyed and identified in the study. The statistical test revealed that the reading comprehension of the respondents was significantly correlated with the identified translanguaging factors. Thus, it is recommended that teachers should promote group discussions and allow open interactions in the classroom. Teachers should allow the use of both the home language and English; employ translanguaging pedagogy in teaching reading; foster an understanding and acceptance of linguistic differences; promote multilingualism, and allow indigenous languages to be used in education to facilitate meaningful learning.
Four Trichoderma species with known biocontrol activity (T. harzianum, T. hamantum, T. viride and T. virens) were tested for their efficacy against Cephalosporium acremonium, a causal organism of Black bundle disease in maize. Interactions between the fungi were assessed in vitro to study mutual antagonisms. Among the four bio-agents, T. hamantum proved to be promising which showed maximum inhibition (51.3%) followed by T. virens (45.2%), T. harzianum (44.6%) and T. viride (20.3%). T. hamantum was also found to be hyperparasite on C. acremonium whereas, T. harzianum and T. viride showed mycelial deformation. The volatile toxicants released by all the Trichoderma spp. were inferior in inhibiting the growth of C. acremonium when compared to the control as evident by inverted plate technique. The results of in vivo experiments confirmed the results from the in vitro study and showed that all the four bio-agents significantly reduced the disease incidence of Black bundle disease.
This paper compares different optimizable machine learning classification models to predict eight types of anemia from complete blood count (CBC) data. For the research, we used a publicly available Kaggle dataset containing 1281 observations, 14 predictors, and the diagnosis as the categorical target variable with nine categories (eight types of anemia and the healthy category). First, we examined the dataset and observed the histograms of some of the predictors. We compared the values of predictors of observations with no anemia to the observations where any anemia was diagnosed. Next, we used MATLAB R2024a to train and test nine optimizable machine-learning classification models. These models were Ensemble, Tree, SVM, Efficient Linear, Neural Network, Kernel, KNN, Naïve Bayes, and the Discriminant. Bayesian optimization was used to optimize the hyperparameters of all these models. We used 90% of observations for training and 10% of observations for testing. During the training, 10-fold cross-validation was used to prevent overfitting. The results showed the best accuracy was reached with the Ensemble classification model using the bag ensemble method (validation accuracy: 99.22%, test accuracy: 100%). Finally, we inspected our best classification model in more detail. We calculated the permutation feature importance to determine the contribution of each predictor to the final model. The results showed 6–7 important predictors, while the most important feature was the amount of hemoglobin.