Background: The first wave of the COVID-19 pandemic was associated with significant morbidity and mortality among healthcare workers worldwide. The present study aimed to assess the knowledge, attitudes, and practices of healthcare workers toward COVID-19 at Ataq General Hospital, and three other hospitals and health centers in Shabwah Governorate, Yemen. Materials and Methods: From January 1, 2022, to February 28, 2022, a cross-sectional survey of healthcare workers was conducted in the city of Ataq, Shabwah Governorate at the following hospitals: Ataq General Hospital, Al Shefa’a Hospital, Al Aafiah Hospital, and COVID-19 Isolation Center. Results: A total of 107 healthcare workers completed the survey. Their mean age was 28.17 ± 7.73 years, 79 (73.8%) of them were male and 28 (26.2%) were female. The overall knowledge was good, with a score of 19 out of 21; however, most participants were unaware of some of the extra-respiratory symptoms of the disease, such as diarrhea and confusion, and about 57% of them were unaware that eating or interacting with wild animals may contribute to the infection with the COVID-19 virus. Attitude analysis of the participants revealed that about half of those surveyed do not believe that Yemen can contain COVID-19. In general, the practice of the participants was good. Conclusion: Although the overall knowledge score in this study was good, most respondents could not recognize some of the extrapulmonary manifestations of COVID-19 and were unaware of the possibility of transmission of the disease from wild animals. In addition, about half of those surveyed do not believe that Yemen can contain COVID-19

Karishma

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 Englishto-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature.

Kamal singh

Patients’ knowledge of hypertension and treatment has been found to affect health outcomes of hypertension. This study aimed to assess the impact of therapeutic patients’ education on knowledge of hypertension and lifestyle/dietary modification among hypertensive patients in Nigeria. The study was conducted among 317 hypertensive patients randomized into controlled and intervention groups (158 vs 159, respectively) between March 2021 and February 2022. Baseline knowledge of the patients was assessed and intervention was provided for the intervention group with a structured educational program at a baseline and six months. Descriptive data were presented with a frequency table in percentage while the chi-square test and univariate logistic regression were used to determine the association between categorical variables. Out of the total number of 318 patients, 275 completed the study (response rate: 86.8%) with 136 in the control group and 139 in the intervention group. The mean age of the patients was 59.5 (±12.5) and patients > 60 years (49.5%) were the most frequent age category. The baseline knowledge score of hypertension was 9.8 (±2.6) and 9.3 (±2.6) on a scale of 16 points in the control group and intervention group, respectively (P = 0.060) while at six months 11.9 (±2.3) vs 10.8 (±2.4) (P < 0.001) and 12 months 12.6 (±2.5) vs 9.5 (±2.0) (P < 0.001), respectively. Knowledge of lifestyle/dietary modification in the control group and intervention group at baseline was 7.0 (±2.1) and 6.6 (±2.0), respectively, while at six months 7.5 (±1.5) vs 9.9 (±1.3) (P < 0.001) and at 12 months 7.2 (±1.5) vs 10.4 (±1.2), respectively. Marital status, body mass index, and family history of hypertension were associated with knowledge of hypertension and lifestyle/dietary modification (P < 0.001). The educational intervention provided was found to be associated with a significant improvement in knowledge of hypertension and lifestyle/dietary modification. The marital status of the patients, body mass index and family history of hypertension influenced patients’ level of knowledge.

Mediterranean journal of pharmacy and pharmaceutical sciences

Pneumonia is an acute pulmonary infection that can be caused by bacteria, viruses, or fungi. It infects the lungs, causing inflammation of the air sacs and pleural effusion: a condition in which the lung is filled with fluid. The diagnosis of pneumonia is tasking as it requires a review of Chest X-ray (CXR) by specialists, laboratory tests, vital signs, and clinical history. Utilizing CXR is an important pneumonia diagnostic method for the evaluation of the airways, pulmonary parenchyma, and vessels, chest walls among others. It can also be used to show changes in the lungs caused by pneumonia. This study aims to employ transfer learning, and ensemble approach to help in the detection of viral pneumonia in chest radiographs. The transfer learning model used was Inception network, ResNet-50, and InceptionResNetv2. With the help of our research, we were able to show how well the ensemble technique, which uses InceptionResNetv2 and the utilization of the Non-local Means Denoising algorithm, works. By utilizing these techniques, we have significantly increased the accuracy of pneumonia classification, opening the door for better diagnostic abilities and patient care. For objective labeling, we obtained a selection of patient chest X-ray images. In this work, the model was assessed using state-of-the-art metrics such as accuracy, sensitivity, and specificity. From the statistical analysis and scikit learn python analysis, the accuracy of the ResNet-50 model was 84%, the accuracy of the inception model was 91% and lastly, the accuracy of the InceptionResNetv2 model was 96%.

Dr. chandrashekhar uppin

Vesical explosion during transurethral resection of the prostate (TURP) is an extremely rare, serious and dreadful complication, which should be considered as a blast injury requiring urgent exploratory laparotomy and repair. Until 2019, only 38 cases have been reportedin the International English literature. The underlying mechanism for this rare intravesical explosion is the generation and trapping of explosive gases under the dome of the bladder, which eventually detonates by sparks from the cutting electrode during TURP. Herein, we repor0low-up. Although uncommon, vesical explosion during TURP may occur and some preventive measures, discussed here, can be carried out to avoid this dreadful complication. In addition to the discussion of its mechanism, we will discuss the preventive measures of this dreadful event. To the best of our knowledge, this is the first case of a vesical explosion reported in our department.

Karishma

Background:Calcium, the very important mineralhelps in growth and development ofinfants.Calcium helps in building strong bones, teeth,proper functioning of nerves and muscle, blood clot and in activating the enzymes that convert food into energy. Infants and Children are growing new bone all the time, they need continuous supply of calcium to support the healthy growth.Milk is the only food for infants which is richest source of calcium. Some infants are sensitive to lactose in milk because they have Lactose Intolerance. The present study aimsto develop an alternate milk forlactose intolerance infants with finger millet and pearl millet.Method:Traditional methods were used to process the milletswhich help in retaining and increasing the nutritional content in millets.The millet milk was analyzed for calcium content using the ICPMS.The millet milk was supplemented for 6 weeks to albino rats in comparison with cow milk. The tibia weight and length were measured and calcium content in tibia was analyzed. Result:The calcium content of the millet milk was 80mg/100mlwhere as in cow milk it was 120mg/100ml.The mean calcium content of the tibia inalbino rats was15.35±3.50mg/dl fed with millet milkand20.40±3.74mg/dl in rats fed with cow milk.Conclusion: The developed millet milk contain good amount of calcium on par with cow’s milk, it can be used as substitute milk for lactose intolerant infants.

Kimeera ambati

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.

Sylvester ekemhonye

Salah satu mata pelajaran yang dianggap sulit oleh siswa adalah matematika. Sehingga pelajaran ini kurang diminati siswa. Permasalahan inilah yang menyebabkan banyak siswa mengalami kesulitan belajar matematika. Rumusan masalah dalam penelitian ini yaitu: Kesulitan Belajar Matematika Siswa MI Da’watul Falah Kecamatan Tegaldlimo Kabupaten Banyuwangi Tahun Pelajaran 2018/2019? Sedangkan tujuan penelitian ini adalah untuk mendeskripsikan kesulitan belajar matematika siswa MI Da’watul Falah Kecamatan Tegaldlimo Kabupaten Banyuwangi. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian fenomenologi. Subjek penelitian dalam penelitian ini menggunakan purposive sampling. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Sedangkan analisis data menggunakan model analisis Miles, Huberman dan Saldana yaitu data Condensation, data Display, serta Conclusion drawing/verivication. Adapun pengecekan keabsahan data yang digunakan adalah triangulasi sumber dan triangulasi teknik. Hasil penelitian ini menunjukkan bahwa kesulitan belajar matematika siswa disebabkan salahnya mindset yang dibangun dari awal oleh siswa, sehingga mereka kesulitan dalam memahami materi yang diajarkan di kelas. Adapun faktor-faktor yang menyebabkan kesulitan belajar terdiri dari faktor internal dan faktor eksternal.

Educare: journal of primary education

Developing automated systems with a reasonable cost for long-term care for elders is a promising research direction. Such smart systems are based on realizing activities of daily living (ADLs) to enable aging in place while preserving the quality of life of all inhabitants in smart homes. One of the research directions is based on localizing items used by elders to monitor their activities with fine-grained details of the progress. In this paper, we shed the light on this issue by presenting an approach for localizing items in smart homes. The presented method is based on applying machine learning algorithms to Radio Frequency IDentification (RFID) tags readings. Our approach achieves the required task through two stages. The first stage detects in which room the selected object is located. Then, the second one determines the exact position of the selected object inside the detected room. Additionally, we present an efficient approach based on gradient boosted decision trees for detecting the location of the selected object in a real-world smart home. Moreover, we employ some techniques of over- and under-sampling with data clustering for improving the performance of the presented techniques. Many experiments are conducted in this work to evaluate the performance of the presented approach for localizing objects in a real smart home. The results of the experiments have shown that our approach provides remarkable performance.

Shadi abudalfa

Neuroblastoma is the most prevalent extracranial solid tumor in pediatric patients, originating from sympathetic nervous system cells. Metastasis can be observed in approximately 70% of individuals after diagnosis, and the prognosis is poor. The current care methods used, which include surgical removal as well as radio and chemotherapy, are largely unsuccessful, with high mortality and relapse rates. Therefore, attempts have been made to incorporate natural compounds as new alternative treatments. Marine cyanobacteria are a vital source of physiologically active metabolites, which have recently received attention owing to their anticancer potential. This review addresses cyanobacterial peptides' anticancer efficacy against neuroblastoma. Numerous prospective studies have been carried out with marine peptides for pharmaceutical development, including research on anticancer potential. Marine peptides possess several advantages over proteins or antibodies, including small size, simple manufacturing, cell membrane crossing capabilities, minimal drug-drug interactions, minimal changes in blood-brain barrier (BBB) integrity, selective targeting, chemical and biological diversities, and effects on liver and kidney functions. We discussed the significance of cyanobacterial peptides in generating cytotoxic effects and their potential to prevent cancer cell proliferation via apoptosis, the activation of caspases, cell cycle arrest, sodium channel blocking, autophagy, and anti-metastasis behavior.

Dr. salman ahmed

Ever-growing era of mobile and personal wireless networks, motivated research in several fields of engineering resulted in low power and low cost consumer products. The voice band processing required in mobile applications demand for architectures, which can easily be integrated in single chip SoC applications. The conventional approach is to have a dedicated IC outside the digital ICs to perform analog to digital conversion. The motivation of single chip radios demand for integration of such ADC modules on digital cellular related ICs. Mixed signal design is very challenging and hence usually it is preferred to have separate ADC chip before the ASIC/FPGA. In this paper we present a digital sigma delta ADC architecture, which can perfectly be integrated in any digital IC with a targeted sampling rate of 20 kS/s with more than 80 dB dynamic range.

P.a. harsha vardhini

Vigna trilobata (L.) VERDC. belongs to the family Papilionaceae, which is found throughout the tropical and warm temperate regions of the world. In folk medicine, it is used for arthritis, fever, cough, dysentery, and urinogenital disorders. Different secondary metabolites, such as alkaloids, glycosides, terpenoids, and flavonoids, have been reported in Vigna trilobata. It has antioxidant, antidiabetic, and anti-inflammatory activities.

Dr. salman ahmed

Stem cells hold great promise for tissue regeneration and have the potential to treat many incurable degenerative diseases. Cancer stem cells (CSCs), or cancer initiating cells, have the ability to self-renew and differentiate into heterogeneous lineages of cancer cells. Current stem cell therapies face limitations, such as limited stem cell sources, time consumption, tumor formation, and immune rejection upon allogeneic transplantation. Allogeneic stem cell treatments simplify stem cell manufacturing and reduce transplant time, but their therapeutic potential is limited by human leukocyte antigen (HLA)-matched donors. CSCs retain characteristics essential for tissue regeneration. However, several limitations hinder cancer stem cell reprogramming with pluripotent factors. The development of 3D culture models for tissue imitating extracellular matrix in cancer cell lines aims to enhance CSC enrichment. This mini-review focuses on a new strategy for treating incurable degenerative diseases involving in vitro and in vivo 3D cancer models and the induced differentiation of CSCs into mature normal cell types. This allows tissue survival without immune rejection and offers a safe alternative to cancer stem cell reprogramming with pluripotent factors. In conclusion, preservation and banking of allogeneic CSCs offer an alternative, readily available, and safe strategy that can be used to facilitate stem cell-based cell therapy.

Josita alloysius

The study examined public-private sectors’ collaboration in human resource management and curriculum development in the administration of public senior secondary schools in Rivers State. The study adopted the descriptive survey design. Two research questions and two hypotheses guided the study. The population of the study comprised 281 principals in the 281 public secondary schools in Rivers State. The proportionate stratified random sampling technique was used to draw up sample of 259 principals representing 92.2% of the population of the study (211 male principals and 70 female principals). An instrument titled: Public-Private Sectors’ Collaboration for School Administration Questionnaire (PPSCSAQ) designed in the modified 4-point Likert Scale with a reliability index of 0.87 was used for data collection. The face and content validities were ensured. Mean and standard deviation were used in answering the research question while z-test was used in testing the hypotheses at 0.05 level of significance. The finding of the study showed that to a high extent public-private sectors collaborate in human resource management and curriculum development in the administration of public senior secondary schools in Rivers State. It was recommended among others that the government should provide enabling environment and formulate favourable policies to sustain public-private sectors’ collaboration as it ensures effective human resource management in the state.

Fxintegrity publishing

Scholars who apply artificial intelligence to political questions seek, most generally, to expand the scope and relevance of political model analysis. By incorporating the effects of variable human notions, traditions, and meanings, they seek to humanize political models. Most early applications of artificial intelligence in political science research address substantive issues pertaining to political decision making. Most of these works apply production-system technology to construct choice models in for eign-policy decision contexts. In recent years, political applications have begun to diver sify. Today, lively research efforts flourish in widely varied application areas, such as computational text analysis, logic programming, computer learning, and conflict sim ulation. The works reviewed here constitute the early steps of a nascent program of study. Much remains to be accomplished. Nevertheless, the efforts conducted thus far suggest many potentially fruitful research avenues. Youth are the most essential and promising segment of every country’s population. India has a larger advantage over other countries in terms of becoming a global leader because we effectively tap into the youth’s potential. Quality education is the only way to achieve this. With artificial intelligence’s potential growth in India, now is the ideal time to incorporate AI in education to reap its benefits and prepare India’s young for the future. Artificial intelligence has great potential in India. India’s AI technology has the potential to make it a world leader in artificial intelligence. In India, AI technology is used effectively in nearly every area, including agriculture, healthcare, education, infrastructure, transportation, retail, manufacturing, and

Dr gedam kamalakar

In some countries, a high percentage of the population relies on traditional plants for treating certain diseases. The aim of this study was to investigate the effect of G. alypum extract (GAE) and Alhagj marorum extract (AME) on lipid profiles in experimentally induced hypercholesteremic rats and on the blood pressure of experimentally induced hypertensive rats. Male Wistar rats weighing 200 - 300 g were divided into five groups: group 1 received a normal diet (negative control), group 2 received a high lipid diet containing coconut oil (10 g/kg/day), cholesterol (4 g/kg/day) and cholic acid (0.20 g/kg/day) (positive control), group 3 received a high lipid diet together with clofibrate (50 mg/kg/day), group 4 received a high lipid diet together with AME (200 mg/kg/day) and group 5 received GAE (200 mg/kg/day). The experiment continued for two weeks, then the rats were sacrificed and blood samples were collected for estimation of cholesterol, triglycerides, high-density lipoprotein and low-density lipoprotein. To induce hypertension, rats were divided into two groups (n = 8 in each group). Group 1 received normal saline (control) and Group 2 received dexamethasone (0.40 mg/kg, i.p.) for seven consecutive days. Later, the rats were anesthetized using thiopental and the carotid artery was cannulated for recording blood pressure. AME (40 mg/kg) or GAE (40 mg/kg) were injected through a cannula placed into the internal jugular vein at a dose volume of 0.1 ml. Systolic and diastolic blood pressure were measured before and after plant extract administration. The results showed that clofibrate GAE extract and ANE extract significantly decreased cholesterol, triglycerides, low-density lipoprotein and high-density lipoprotein as compared to high-lipid diet-treated rats. Data also indicated that administration of GAE or AME extract significantly decreased systolic and diastolic blood pressure in experimentally induced hypertensive rats. In conclusion, GAE and AME have antihyperlipidemic and antihypertensive activities and further investigation is needed to clarify the mechanism of these effects.

Mediterranean journal of pharmacy and pharmaceutical sciences

This study was conducted to optimize the integration of solar-photovoltaic-distributed energy resources (SPVDERs) within the Nigerian power system networks using an AI-based Particle Swarm Optimization (PSO) Algorithm. By employing a mixed research method, primary and secondary data were gathered to calculate flow analysis, NR method's equations, PSO's position update model, particle swarm optimizer algorithm, and application modeling including Solar-PV DER modeling. The AI-based PSO algorithm design was developed for optimizing SPV-DER integration in Nigerian power system networks, and key parameters and variables that needed consideration were identified. The study also established how the performance of the AI-based PSO algorithm could be evaluated and compared with other optimization techniques for SPV-DER integration within Nigerian power system networks. The study's results showed that voltage limits were within acceptable ranges, and solar power contributions were estimated at 880.10MW with 46,718 panels needed. The study concluded and recommended that investing in AI-powered tools for efficient power distribution; monitoring and resource optimization for sustainable energy sources would optimize performance and unleash Nigeria's sustainable energy potential.

Fxintegrity publishing

As it is increasingly being reported from India, we carried out a prospective study of patients with culture-proven melioidosis from south India, examining clinical, laboratory features, epidemiological data, risk factors, treatments, outcomes at three and six months, and factors associated with mortality.Between 2014 and 2018, 31 cases were identified. Diabetes (83.9%) and alcohol abuse (58.1%) were common risk factors. Musculoskeletal, skin and soft tissue manifestations together constituted 48.4% of presentations, while 29% had pneumonia. During the intensive phase, 74.2% received one of three recommended antibiotic regimes, but 51.6% did not receive continuation treatment. Pneumonia and lack of continuation treatment were independently associated with a high mortality of 25.8%. Hot spots for melioidosis exist in India, and there is considerable diversity of presentation, including skin, soft tissue, musculoskeletal and neurological involvement. High rates of bacteraemia are shown.

Aneesh basheer

Object: In the competitive world of the market economy, every economic unit tries organizing everyday activities. Creating a set of suitable and cost-efficient organizational structures and making competitive products and services, top managers should find the mechanisms of building alternative ways of organizational structures. Methods: This paper presents the traditional and modern management structures, their historical steps, and developed methods. In this footfall of the market economy, companies in developing countries should build their management system’s organizational structure. They should advance a management system, managerial behaviours, and new management styles of developed ones. For this purpose in this research has learned organizational structures of developed companies. The investigation discusses the emergence, formation, and modern appearance of management structures that evaluate organizational structures’ importance in enterprises and companies’ activities, using vivid examples. Findings: Then, it has shown some forms of developed organizational structures of companies with the assessment of their highest role in management. In the conclusions and recommendations, we offer our approaches to solving existing organizational problems using the historical period of development to this day.

Ikboljon odashev mashrabjonovich

By using mathematical vectors calculations as financial modeling then further into a new form of quantitative analysis instrument for linear financial computation graphs. A new tool in financial data analysis as an indicator

Dr abdul rahim wong