Industry 5.0 is still a developing concept, but it is expected to leverage a range of advanced technologies to facilitate human-machine collaboration and enable more customized and sustainable manufacturing.This research paper tried to discuss the opportunities and challenges in the implementation of Industry 5.0. It primarily explored the need to transform from Industry 4.0 to Industry 5.0. The research paper further studied the technologies needed for the implementation on Industry 5.0 and also the principles of Industry 5.0.
The article devote to strategic planning of transport and logistical infrastructure development in territory of Siberia and Far East areas, network of regional terminals and the Multimodal transport logistical centers creation incorporated in regional logistical transport and distributive systems on the basis of formation uniform organizational-economic, information, scientific and technical and normal laws is expedient. It is the first in the literature that the multimodal logistical centers, which functions on the commercial basis, providing the coordinated interaction of all transport types and other participants of the logistical process, considered as basic elements of a International transport corridors logistical infrastructure and strategic points of Russia economy growth. Formation and development Purposes of International transport corridors in Russia territory are integration providing with the Russian transport in the European and world transport systems as the equal in rights partner.
Three commonly used legumes, Macrotyloma uniflorum (Lam.) Verdc., Phaseolus lunatus Linn., and Phaseolus vulgaris Linn. were subjected to determine their minerals and phytic acid contents to correlate their nutritional and medicinal properties. The atomic absorption spectroscopic method was used to quantify essential minerals, while the spectrophotometric method was used for phytic acid estimation. Fe, Mg, Mn, P and Zn were recorded in reasonable quantities, Ca and Cu in moderate, and K in small amounts in the seed flours of all the three tested legumes. Maximum Fe and Zn content (0.38 and 0.40 mg/g) were recorded in P. vulgaris, while M. uniflorum delivered high content of Mg, Mn, P and Ca (0.21, 0.20, 77.94 and 0.04 mg/g) and 0.04 mg/g Cu was recorded in P. lunatus. The highest level of phytic acid (37.00 mg/g) was recorded in M. uniflorum at 519 nm. The estimated quantities of minerals and phytic acid provide an excellent opportunity to conclude that all three tested legumes could be used as food to achieve nutritional and health-related functional benefits.
Vitamin D is a hormone which plays a vital role in immune response regulation, including the prevention of inflammation and autoimmunity. Insufficient vitamin D may increase the risk of infection. Vitamin D deficiency is not the only factor linked to an elevated risk of COVID-19 infection. Recent studies have discovered a link between SARS-COV-2 infection risk and blood type. This study was aimed to examine the association of vitamin D and blood groups with the severity of COVID-19. A retrospective study was conducted on 224 confirmed COVID-19 patients, aged between 18 and 89 years old. Patients were divided into three groups (asymptomatic, moderate, and severe cases), and serum 25(OH)D concentration and blood group were analyzed for all the patients. Data of the severe cases were obtained from Souq Althalath Isolation Center, Tripoli, Libya, while moderate and asymptomatic cases were obtained from Abushusha Polyclinic and Aldahmani COVID Filtration Center, during 22nd February 2021 and 28th April 2021 and serum 25(OH)D concentration and blood group were statistically analyzed for all the patients. The percentages of males and females were found to be 47.3% and 52.7%, respectively. Disease severity was distributed as follows: 12.5% asymptomatic, 44.6 % moderate and 42.9% severe. Most of the severe cases had vitamin D deficiency (88.5%). Among the severely ill patients, 39.6% had blood group A and 09.4% had group O, while 22.9%, and 28.1% had blood group B and AB, respectively. In contrast, among the asymptomatic patients, only 7.1% had group A and 85.7% had group O. Overall, the difference in the distribution pattern of blood group in the three severity categories was highly significant (p < 0.001). The prevalence of Rh positivity among asymptomatic, moderate and severe cases was 78.6%, 76.0%, and 60.4%, respectively. This study concludes that insufficient vitamin D levels might influence the severity of COVID-19. COVID-19 patients with blood group A and those who are Rh-positive could be more vulnerable to developing COVID-19 severity.
Mediterranean journal of pharmacy and pharmaceutical sciences
This paper aims to study the restructuring and change management of SARHS, which in turn will be accompanied by some complex, difficulties and discussions that may include personnel emotion, which must be taken into account. We will guide SARHS managers by conducting a comprehensive study of majority factors that will affect the success of the process, considering and covering all views. Which will result in the dismissal of some employees and the closure of their jobs permanently in the new job structure. The study will include many theories, models and justified recommendations to be followed to ensure a successful and safe restructuring and management change free from unresolved impediments and difficulties that could lead to a setback. Finally, restructuring is not a result but the beginning of a new process
Background: Perinatal mortality remains high in developing countries, including Yemen. However, information on perinatal mortality in Yemen is lacking. This study aimed to find out the perinatal mortality rate in Aden General Hospital and to analyze the causes of perinatal mortality. Materials and Methods: This descriptive study was conducted at the Obstetrics and Gynecology Department of Aden General Hospital during the period from January 1, 2003 to June 30, 2004. It was a retrospective study for the first 6 months (January–June 2003) and prospective for the remaining period (July 2003–June 2004). Results: During the study period from January 1, 2003 to June 30, 2004, there were a total of 3770 births at Aden General Hospital, out of which there were 2976 births during the period from January to December 2003 and a further 794 births in the 6-month period from January to June 2004. The perinatal deaths were 166 (4.4%) giving a perinatal mortality rate of 44/1000 normal deliveries. Further analysis showed a total of 105 perinatal deaths in 2003 with a perinatal mortality rate of 35.3/1000 normal deliveries and 61 deaths in the period from January to June 2004 with a rate of 77/1000 normal deliveries. Unclassified deaths including premature cases accounted for 29% (n=48) of all causes, followed by mechanical causes 36 (21.7%). The mechanical causes are divided as follows, 33 (19. 9%) due to fetal distress and 3 (1.8%) due to breech presentation. Uncertain origin causes accounted for 19.3% (n=32) of all cases of death and toxemia was observed in 16 cases (9.6%), while malformation was found in 13 (7.8%) cases. Conclusion: The perinatal mortality rate in our center was 44/1000 deliveries. The major cause of perinatal mortality was prematurity, followed by mechanical causes. The most of the mortalities occurred outside the health facilities (extra-hospital).
Long periods of free-movement Restrictions may negatively affect Cardio-Pulmonary fitness and health. As, the COVID-19 virus primarily affects Respiratory system, and also associated with cardiovascular disease, can induce the following complications like thrombosis, myocardities, Interstitial pulmonary fibrosis, diffuse alveolar damage and persistent decline in lung function, as the lung capacity decreases it may results in decrease in Cardio Pulmonary endurance. The Present study investigated changes after the COVID-19 confinement in total distance covered in 6 minutes by patients and correlation between 6 minutes walk test vs. oxygen saturation; Results suggest that the Mean ± SD of age is 43.4 ± 10.8years. Male: Female 1:0.5.Mean ± SD of total distance walked in 6 minutes by patients is 443.5 ± 55 compared with Hypothetical mean (normative value) is 571 ± 90.Correlation between Total distance walked in 6 minutes vs. oxygen saturation is r = 0.055.
Political participation of women is essential for the functioning and vitality of any democracy. In India, despite constitutional provisions and various initiatives, women's participation in politics remains significantly lower than that of men. This study aims to delve into the factors influencing women's political participation in Indian democracy and explore avenues for their empowerment in the political sphere. Through a comprehensive analysis of existing literature, data, and case studies, this article examines socio-cultural, economic, and institutional barriers that hinder women's entry into politics. Additionally, it highlights successful initiatives and policy measures undertaken at various levels to enhance women's political participation. The study underscores the importance of addressing structural inequalities, promoting gender sensitive policies, and fostering a conducive environment for women's engagement in politics. By advocating for inclusive and equitable political representation, this research contributes to the ongoing discourse on women's empowerment and democratic governance in India.
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.
The study was conducted on glass slides to observe the growth patterns of urinary calcium oxalate monohydrate crystals and their inhibition using 5, 10, 15 and 20 % Phaseolus lunatus 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 a glass slide and converted into a gel. A 1 M oxalic acid drop was dropped to the left, and 1 M calcium chloride and magnesium acetate (1:1) solution was dropped to the right side of the properly formed gel. The glass slide was observed under a microscope till it was completely dried. In the case of the crystal inhibition study, a drop of Phaseolus lunatus infusion was also added to the right side after adding calcium chloride and magnesium acetate solution. The results without infusion showed detailed morphology and aggregation patterns of observed crystals such as donuts, dumbbells, needles, platy, prismatic, rosette, round edges, X-shape crystals, and loose and compact aggregates. All infusions of Phaseolus lunatus showed defective crystals. 5% infusion inhibited crystals of all morphologies with their loose and compact aggregates except X-shaped crystals and rosettes. Meanwhile, 10% and 15 % infusions decreased X-shaped and rosette crystals. 20 % infusion showed defective rosettes. The microscopic study of calcium oxalate crystal growth and its inhibition is simple and provides rapid qualitative analysis of antiurolithiatic activity.
The purpose of this study is to explore the impacts of foreign cartoons programs on the social behavior and attitude of Pakistani Children. It is forecasting different cartoon programs 24/7; hence, children spend most of their leisure in front of the television. All these cartoon characters affect the social life and psyche of the children and induce positive and negative mannerism in their daily lifestyles. It has found that one of the most disturbing factor is that the ferocity in children today is increasing rapidly due to following their favorite violent cartoon characters which are even different from their culture and societal norms. The issue is violence is what they see in every cartoon program in one or the other way. Their Guardians are unaware that these cartoons they let their children watch are destroying their parenting as negative forces are attacking the innocent minds of this generation. The study gives the insight of why and what is happening with non-parametric statistics studied and used for thorough analysis. The behavioral outcome of the kids like, imitating their preferred animation character, utilizing various dialects, watching the TV as opposed to deciding on outdoor games and being difficult about getting precisely the same outfits and embellishments as their adored character. This contextual analysis features the disturbing circumstance that guardians are uninformed of. There is something other than mimicking the particular character. The only traits of watching these foreign cartoon characters is that it might damage their own customs and they wildly become to believe these characters as their role models.
Justicia carnea, a plant rich in bioactive compounds, has traditionally been used as a haemoglobin booster by herbal practitioners in rural areas of Edo State of Nigeria. In this study, the methanol leaves extract of Justicia carnea was investigated for its antisickling potential in hemoglobin SS (HbSS) in-vitro by sodium metabisulphite assay and characterized by Gas Chromatography-Mass Spectrometry (GC-MS) and High-Performance Liquid Chromatography (HPLC). Terpenoids, saponins, glycosides, phenolics, flavonoids and alkaloids were present except tannins. Photomicrograph examinations revealed a reduction of sickle cells with a percentage decrease from 37.50%, and 22.22% down to 3.85% with 100 mg/mL crude extract of Justicia carnea at three durations, respectively. Detected compounds from Gas Chromatography-Mass Spectrometry included hexadecanoic acid methyl ester (Retention time (Rt): 21.46, 05.99%) and 9,12-octadecadienoic acid, methyl ester (Rt: 23.567, 02.59%) while the major constituent was phytol (Rt: 23.741, 67.28%). While kaempferol (Rt: 17.23, 16.72%) was the major component from High-Performance Liquid Chromatography quantification among resveratrol (Rt: 3.7, 13.85%), gallic acid (Rt: 5.88, 3.55%), Justicinol (Rt: 11.85, 01.34%) and phytic acid (Rt 5.06, 01.43 %). These compounds have been cited as physiological agents that reduce inflammation, and oxidative stress and potentially prolong the lifespan of cells across species. The antisickling results from this study corroborate and support the traditional use of the plant in treating patients with sickle cell anemia.
Mediterranean journal of pharmacy and pharmaceutical sciences
The current COVID-19 is now endemic on everycontinent and becomes the most challenging outbreaks over centuries, thus millions of people have been infected with the novel coronavirus (SARS-CoV-2), and have contributed to the deaths of more than two millionpeople. Researchers are working continuously to develop safe and effective vaccines that people have started receiving since December 2020. Vaccines against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are the most important countermeasure to the COVID-19 pandemic taking into considerationthat vaccines induce a robust immune response
Mediterranean journal of pharmacy and pharmaceutical sciences
Migratory behaviour in Littorina scabra (Linne 1758) was studied in a mangrove ecosystem and observations were made in their natural habitat or in situ observation in Tanjung Tiram, Ambon. Migratory speed and pattern of L. scabra of different sizes (small and large) particularly in mangrove Sonneratia alba were observed throughout of the February 19th to March 11th, 2019 during the day and night on incoming or outgoing tides and these are usually a 3 hours (270 minutes) observation. Marked snails were used to track the position to investigate their migratory direction and speed during advancing and receding tides. Those organisms migrate up and down the trees following the tidal cycles. This study indicates that small size organisms which live on leaves, branches or trunks move faster than the big organisms and they move faster during the incoming tide than outgoing tide. For a big size L. scabra, they move slower during the incoming tide than the outgoing tide. This behaviour indicates that they move faster to avoid immersion during incoming tide than during the outgoing tide when they move slower because they are searching for food. The migration trials showed different patterns for all sizes of L. scabra and this pattern seems to be influenced by the area of surface they occupy such as leaves, branches or trunks. They tend to move forward in one direction (almost straight line) when they are on a small surface such as trunks and on the larger surface such as leaves and braches most L. scabra of all sizes make different trial patterns such zig-zag.
This article explores the intersection of Artificial Intelligence (AI) and predictive analytics in healthcare, focusing on the transformative role of AI-based predictive analytics in enabling proactive and personalized patient care. Through an in-depth analysis of recent advancements, practical implementations, and ethical considerations, the paper elucidates how these technologies contribute to early intervention, improved patient outcomes, and enhanced healthcare efficiency.
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
Learning is a conscious effort made by individuals to acquire various kinds of abilities (competencies), skills (skills), and attitudes (attitudes) through a series of learning processes that will ultimately result in behavioral changes in the individual. The learning process in schools tends to emphasize the achievement of changes in cognitive (intellectual) aspects which are carried out through various forms of approaches, strategies, and certain learning models. Learning systems that specifically develop affective abilities have received less attention, affective abilities are only used as a nurturing effect. This study aims to (1) find out whether online learning is able to bring out the affective abilities of prospective study program teachers (2) analyze the affective abilities of prospective teachers in online learning. The data used in this study is qualitative data. The technique used is a questionnaire. This questionnaire was given to respondents, namely students of PGSD teacher candidates at Muhammadiyah University of Pringsewu. The results of the study indicate that affective abilities can appear in online learning as evidenced by the results of the questionnaire that has been given to respondents. The indicators of affective ability in this study include attitudes, interests, self-concept, values, and morals, all of which are in the good range. This means that the results of students' affective abilities can be said to be valid or appear in online learning
The present study describes the use of an aqueous solution containing a blend of hydrotropic solubilizing agents (mixed hydrotropic substance’s solution) as a successful solvent system utilizing the concept of mixed hydrotropy for spectrophotometric analytical estimation of various conventional formulations as well as novel drug delivery systems. Frusemide, a poorly water-soluble drug, was estimated by application of mixed hydrotropic solubilization method. There was more than 15-fold enhancement in aqueous solubility of frusemide in a solution of blend of hydrotropic agents which consisted of 30% urea, 13.6% sodium acetate and 11.8% sodium citrate. This solvent mixture was employed to solubilize the drug from the fine powder of tablet formulations as well as the niosomes of frusemide. The selected λmax for spectrophotometric estimation was 333 nm. The hydrotropic agents used in the analysis and additives used in the manufacture of tablets and preparation of niosomes did not interfere in the analysis. Statistical data proved the accuracy, reproducibility and precision of the proposed method. The results suggested that proposed method is new, rapid, simple, accurate, and reproducible as well as employed aqueous solvent instead of organic solvents in estimation of drug from the dosage forms.
This paper delves into the dynamic intersection of Artificial Intelligence (AI) and Remote Patient Monitoring (RPM), exploring how the integration of these technologies is reshaping the landscape of healthcare. By examining recent breakthroughs, practical implementations, and ethical considerations, the article elucidates the transformative potential of AI-enhanced RPM in providing personalized, proactive, and efficient healthcare solutions.
The coronaviruses are group of viruses containing about seven members that have genetic material of RNA. They are surrounded by the protein capsid and lipid-containing membrane which has spike protein as flower petals. This family of viruses can infect animals and birds as well as humans causing signs and symptoms of respiratory system. However, these depend on the immune system of the infected host. The COVID-19 pandemic is a major global health disaster and the greatest task have faced the world. The infecting agent of COVID-19 disease was identified on December 31st, 2019 by Chinese scientist in Wuhan City. It was named Novel Coronavirus (Severe Acute Respiratory Syndrome-2 or SARS-2). After that, health minister of China announced that this virus is a new Coronavirus and it is of very high contagious rate [1]. In spite of the existence of many infectious cases in Libya at the winter season, the National Center of Disease Control (NCDC) announced about the first case of coronavirus on March 24th, 2020. It was identified by using a RT-PCR technique for a patient who came from Saudi Arabia. The NCDC, which is the government corporation responsible for the COVID-19 in Libya, has a daily news report about COVID-19 situation, including numbers of new cases infected patients, healing cases and total deaths number all over the country
Mediterranean journal of pharmacy and pharmaceutical sciences