Inlet valve in an engine tends to be subjected to immense thermal loads besides chemical corrosion. Opening and closing of inlet valve practically could be in the order of 2000 times per 1.6 km. In the mean time of engine working cycle, seat insert of the inlet valve is the surface, against which an intake valve seats. Conventional engine valves are provided with a curved angle for its seating position, but for this study, the same is proposed to be positioned at a tapered angle. This tapered position as converted into radius in order to permit rich air at the inlet and reduce exhaust emission. This study is to investigate the nature of the future redesigned Scooping valve for a 1.25L 4-cylinder Petrol engine with VTVT (Variable Timing and Valve Train) under combined mechanical and thermal loading cycle by feeding the input conditions for this study after NX-CAD modelling in ANSYS 10.0 software and the numerical results thus obtained are recorded for future valve design considerations.

Boopathy govindarajan

Apprenticeship is one way of learning by doing. The Student Apprenticeship Program (SAP) or Apprenticeship as referred to in this study is a curricular program of the Institute of Accounts, Business and Finance (IABF) of the Far Eastern University - Manila. It aims to enhance the preparation of the students for actual employment after college graduation. A study was conducted on the sixty-nine (69) Business Administration interns of a private university in Manila during the first semester of academic year 2017 - 2018. Performance Evaluation Forms were distributed to all the supervisors of host companies. Evaluation forms were personally monitored by the Apprentices Adviser which made it possible to collect a 100% response. A sort of quantitative analysis was used to analyze the information provided for in the evaluation forms. The purpose of this study is to assess the interns’ performances and skills as well as their strengths and weaknesses based upon the personal and direct observation by the supervisors of the various host companies. This study will also find the gap in the interns’ skills based upon the Institute expectation and observation by the supervisors. The study is limited to one time observation by supervisors of various host companies. This study is underpinned by sociocultural theory, cognitive apprentice theory, situated learning theory and the 21st Century Skills Framework.

Dr. leonardo f. cada, jr.

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

This study reviews indicators of poverty and the government policies and strategies to reduce and alleviate poverty in Jordan and investigate the effects of information technologies (ITC) on the poverty in Jordan, Population growth rate, GDP at current prices, consumer price index, and human development index in addition to percentage of population use internet, percentage of export and import of ITC of the total trade are used as dependent variables. Data from different resource is collected from 1999 in which the internet started in Jordan till 2018 on the abovementioned variables. The results show that there are negative impacts of the percentage of population using internet on the poverty rate while there are positive effects of human development index and consumer price index on poverty

Iaeme

Datura arborea Linn is a sacred plant known for over 3000 years to have been used for magical and curative purposes. It was shown to have a central nervous system depressant effect. The active substances identified were tropane alkaloids: atropine, scopolamine, and hyosine. Therefore, we aimed to find out whether the ethanol extract of Datura arborea Linn has sedative and hypnotic activity. The extract was subjected to a thiopental sodium-induced sleep test and diazepam was used as a standard drug. The plant possesses sedative-hypnotic qualities, the findings indicate that doses of 35 mg/kg (2.70.24 min), 70 mg/kg (3.80.19 min), and 140 mg/kg (4.30.20 min) decreased the control's (9.2 min) latency to fall asleep. In comparison to the control, the length of sleep was increased by 23.46 minutes for 35 mg/kg (99.002.99 min), 70 mg/kg (132.605.53 min), and 140 mg/kg (118.606.04 min), respectively. The present study established the acute toxicity of Datura arborea Linn to be less than 600 mg/kg in mice. This study indicated that the ethanol extract of Datura arborea Linn has a sedative-hypnotic activity in the diazepam-induced sleep test. It is safe to suggest that the extract acts via either β-receptor by causing hyperpolarization or a decrease in spike activity in the cell, leading to relaxation, but these effects were not blocked by β-antagonist or α2-receptor to decrease acetylcholine release, leading to relaxation of the smooth muscle.

Mediterranean journal of pharmacy and pharmaceutical sciences

Pain according to WHO has been one of the greatest issues to plague man, in the bid to handle this issue of pain, man has sought to look for other means to reduce pain to its bare minimum. This study is aimed at investigating the analgesic activity of the methanolic extract of the African weaver ant using acetic acid-induced writhing, hot plate method, and formalin-induced pain models in Swiss mice. In the acetic acid test, the methanolic extract of Oecophylla longinoda (OL) was administered orally at 200 and 400 mg/kg body weight while aspirin was administered at 100 mg/kg and tween 80 served as standards. In the hot plate and formalin models, the extract was administered orally at two doses of 200 and 400 mg/kg while pentazocine at 10 mg/kg and tween 80 at 10 mg/kg served as standards. The methanolic extract of OL exhibited significant analgesic activity in all the models, with none less than the standard significant difference (p < 0.05) by increasing the reaction time of the mice after treatment in comparison to the control. The 400 mg/kg extract in the acetic acid-induced writhing response has a percentage inhibition of 52.7%, which shows how well the extract inhibits pain in mice. The methanolic extract significantly reduced pain response in mice, with a p-value of 0.03, 0.02, and 0.001 in all the test models, respectively. OL increased the pain threshold over time and significantly reduced the writhing response that mice experience from acetic acid. Furthermore, pretreatment with OL significantly and dose-dependently decreased the early and late phases of formalin-induced pain in mice. Thus, these findings suggest that the methanolic extract of OL acts on central and peripheral pain pathways.

Mediterranean journal of pharmacy and pharmaceutical sciences

Background: Although statins are considered safe, they do have side effects with a wide range of hepatic adverse effects. The present study aims to estimate the frequency of liver injury in patients treated with various statins and to describe their clinical characteristics and outcomes. Materials and Methods: We carried out a secondary post hoc analysis of collected data from our previous study entitled “Frequency of Rhabdomyolysis in Patients Treated with Statins in Hamad General Hospital, Qatar.” Results: We identified 10 cases (1.0%) of statin-induced liver injury during the study period. Their mean age was 62±10.09 years, with 6 (60%) males and 4 (40%) females. Of the 10 patients, six patients received rosuvastatin, two patients received atorvastatin, and other two cases received simvastatin. The mean duration between the initiation of statin and the development of liver injury (latency period) was 20.40±6.91 months. Five of our patients were asymptomatic, and liver injury was discovered incidentally during routine testing of the patients during routine follow-up, while four patients developed painless jaundice and one developed muscle pain attributed to rhabdomyolysis. Statins were stopped in all patients. Nine of them were managed on an outpatient basis, while one patient with rhabdomyolysis was admitted. In all patients, other statins were reintroduced after a mean time of 7.4±3 months without recurrence of liver injury. No mortality has been reported. Conclusion: Our study demonstrated that statin-induced liver injury is a rare clinical entity that occurs regardless of the dose and type of statin, with rosuvastatin being the most causative drug. Statin-induced liver injury was asymptomatic and was discovered incidentally in 50% of our cases during routine testing, underscoring the importance of routine follow-up of liver function tests in asymptomatic patients.

Karishma

A simple, rapid, sensitive reversed-phase high-performance liquid chromatography method was developed and validated for simultaneous measurement of albendazole and praziquantel with an internal standard, simvastatin, at single wavelength of 225 nm. Chromatographic separation was performed on an Enable C18 column (250 mm × 4.6 mm, 5 μm: Spinco Biotech Pvt Ltd) and a mobile phase consisting of acetonitrile:water (60:40, v/v) with 10% orthophosphoric acid to adjust the pH to 3.2, at a flow rate of 1.0 ml/min. The calibration curve was linear (r2 ≥ 0.999) over the concentration range 0.05–8.0 μg/ml. The concentrations of simvastatin was 1.0 μg/ml. The limit of quantification was 0.05 μg/ml for both albendazole and praziquantel. No interference was found by the excipients in the synthetic mixture. The proposed methods were validated as per International Conference on Harmonisation guidelines for linearity, accuracy, precision and robustness for estimation of albendazole and praziquantel in bulk and in a synthetic mixture, and the results were found to be satisfactory.

Prasanna pradhan

Crude methanol extracts of the leaves of Adenanthera pavonina L., Peltoforum roxburghii L, Prosopis cineraria L., and Prosopis juliflora DC., were evaluated for anti-emetic activity. Emesis was induced by the oral administration of copper sulphate 50mg/kg body weight to male chicks of four days age. The anti-emetic activity was determined by calculating the mean decrease in number of retching in contrast with those of control. All extracts (150 mg / kg body weight orally) showed anti-emetic activity when compared with standard drug Chlorpromazine at the same dose. Among all the extracts, Prosopis juliflora showed the highest (73.64%) and Adenanthera pavonina showed the lowest (50.17%) anti-emetic activity

Dr. salman ahmed

This paper examines the influence of empowerment on job satisfaction in five-star hotels in Jordan. The influence of empowerment on job satisfaction remains a relatively unexplored area. A 52-item questionnaire, measuring empowerment and job satisfaction, was distributed to 332 employees in 12 five-star hotels in Jordan with a 56% response rate. Principal components analysis determined the factor structure and regression analysis determined the influence of empowerment on job satisfaction. The results revealed both structural and psychological empowerment have significant individual influences on job satisfaction, but more significant when structural and psychological empowerment are combined. Most of previous studies were conducted in western economies and little in the Middle East generally and Jordan in particular. This research contributes to the literature by including both dimensions of empowerment where previous scholars used only one.

Mukhles m. al-ababneh

Improving the agricultural productivity is an imminent need to meet the food requirement of constantly growing population rate. It can be gracefully satisfied if the farming process is integrated through technologies such as big data and IoT. The integration of agricultural processes with modern technologies has emerged as the smart agriculture technology. This research work is focused on proving the suitability of the big data analytics for smart agricultural processes in terms of increasing production and quality of yields with less resources and overhead. This research paper expounds the extensive review carried out on the related works in smart agricultural farming, challenges in implementing the smart farming technologies at large scale, followed by the conceptual framework model for the effective implementation of big data together with IoT devices in smart farming.

Dr h shaheen

TikTok is a mobile application which is available for Android & IOS platforms. It is used for video creation & video sharing purpose. It was launched in China in 2016. The application helps users to become a video creator, so that they can share videos regarding the things they are passionate about. It competes with various social media applications like Facebook, Instagram and YouTube. (1) The social media video app ‘TikTok’ is witnessing highest growth in all around the world. TikTok, which was earlier known as ‘Musicl.ly’ has now user base in 150 countries. It has 800 Million monthly active users all around the world. Their mobile application has downloaded 1.5 Billion times. Average time spent on TikTok is 52 minutes. 83% of its users are also creates videos on the platform. (2) Youth is a major user of this application. College students use it in large numbers. College students use various other social media applications such as Facebook, Instagram, LinkedIn, Snapchat, Twitter etc. These applications are present in market since a decade. But a new entrant, TikTok has seen a tremendous growth in a short duration of time. Hence, researcher has focused on use of TikTok by students. Researcher has limited the focus on management students from Pune city.

Nitin mali

A 33-year-old young male patient with a history of uncontrolled hypertension was referred to my clinic due to a 2-week fever, generalized body aches, shortness of breath, and easy fatigue. Clinical examination showed a toxic dyspneic patient, but conscious and well-oriented. His blood pressure was 170/100 mm Hg, pulse 90 beat/min, respiratory rate 15/min, and the temperature was 38.6°C. Cardiac examination showed a harsh systolic murmur at the mitral area radiating to the axilla. Abdomen examination revealed moderate splenomegaly and mild hepatomegaly. The rest of the examination was unremarkable.

Karishma

Digital data is growing enormously as the year passes and therefore there is a need of mechanism to protect the digital contents. Image watermarking is one of the important tools for the human to provide copyright protection and authorship. For achieving the ideal balance between imperceptibility and robustness, a robust blind color image watermarking employing deep artificial neural networks (DANN), LWT and the YIQ color model has been presented. In the suggested watermarking method, an original 512-bit watermark is applied for testing and a randomly generated watermark of the same length is used for training. PCA is used to extract 10 statistical features with significant values out of 18 statistical features, and binary classification is used to extract watermarks here. For the four images Lena, Peppers, Mandril, and Jet, it displays an average imperceptibility of 52.48 dB. For the threshold value of 0.3, it does an excellent job of achieving good balance between robustness and imperceptibility. Except for the gaussian noise, rotation, and average filtering attacks, it also demonstrates good robustness against common image attacks. The results of the experiment demonstrate that the suggested watermarking method outperforms competing methods.

Manoj kumar pandey

Background: Hospital acquired infections (HAIs) are infections that patients acquire while receiving treatments for other conditions. Studies have shown that stethoscopes and sphygmomanometers can act as potential sources of these infections in patients accessing treatment in healthcare facilities. This study aimed to increase awareness among health workers in Nigeria of the potentials of stethoscopes and sphygmomanometers to transmit HAIs. Methods: Moist swab sticks were used to collect samples from 38 randomly selected stethoscopes and sphygmomanometers from some departments of four district hospitals. Collected samples were cultured using standard microbiological techniques. In addition, self-designed questionnaire was used to assess the knowledge and practice of doctors and nurses on the roles of stethoscopes and sphygmomanometers in HAIs. Results: About 83.8% of the health workers demonstrated some awareness of the roles of stethoscopes and sphygmomanometers in HAIs. 42.5% cleaned their stethoscopes, while 5% their sphygmomanometers. Staphylococcus aureus, (65.9% of stethoscopes), proteus mirabilis, Pseudomonas aeruginosa (67.6% of sphygmomanometers), Streptococcus and Coliform species were isolated. There was no significant difference between the contamination of stethoscopes and sphygmomanometers by the isolates, except for Pseudomonas aeruginosa (t=3.49, p=0.04). Conclusions: Awareness did not match practice in cleaning the stethoscopes and sphygmomanometers in the four facilities. Staphylococcus aureus and Pseudomonas aeruginosa were the two most common organisms isolated with a significant difference (t=3.49, p=0.04) between stethoscopes and sphygmomanometers in isolation of Pseudomonas aeruginosa. To curb HAIs, health workers need to improve on their practice of cleaning stethoscopes and sphygmomanometers.

Emmanuel umegbolu

Nine fruit morphological traits were studied in ten stands of Jatropha curcas spread in eight forest divisions of Uttarakhand. Variation was examined at stand level as well as at tree level. Significant differences were found among stands for fruit length, fruit diameter, pericarp weight per fruit, seed: fruit weight ratio, kernel: fruit weight ratio and pericarp: fruit weight ratio traits while all morphological traits showed significant differences among trees within stands. The estimation of the variance components, however, revealed that the fruit traits, especially weight traits viz. fruit weight, total seed weight per fruit and total kernel weight per fruit have negligible contribution from stands and small contribution from trees. Maximum variation was found among fruits within trees (i.e. at fruit level or error). Pericarp weight per fruit and fruit ratio traits (i.e. seed: fruit weight ratio, kernel: fruit weight ratio and pericarp: fruit weight ratio) were affected to small extent by stand per se. The repeatability of all fruit traits at tree level were also low to moderate (0.105 to 0.278)

Kshitij malhotra

Social media use is inherently linked to everyday life in the digital world, from professional contexts to leisure time. Prior research focused on antecedents of social media use such as personality traits, age, gender, social skills, and also on broad range of its various effects. Positive effects include extension of friendship network, diminishing anxiety in social interaction, and improving exercise motivation. Problematic social media use and addiction are related to stress, depression, suicidal thoughts, loneliness, and scarce school engagement. Less attention has been paid to the relationship between social media use and well-being. Inconsistent results were obtained; being emphasized either small relationship between time spent using social media and psychological well-being, or absence of significant correlation. Aims: Therefore, we analyzed in this research what degree and how active social media use and self-esteem would lead to subjective well-being. Starting from the necessary distinction between the passive and active social media use, the aim of this study was to analyze the direct and indirect effects of active use and self-esteem on subjective well-being. Method: Based on a cross-sectional design, the survey data was collected from a sample consisted of 653 participants (male = 274; M age = 21.52; SD = 4.33). To verify the hypothesized direct and indirect effects included in the multiple mediation model, a path analysis was performed. Results: The findings showed positive association between active social media use, self-esteem, affective engagement in social media use, sense to belong to online community, number of friends/followers, and subjective well-being, The path analysis revealed excellent fit between proposed mediation model and sample data. Active social media use has directly effect on subjective well-being, and indirectly via sense to belong to online community. Interaction between active social media use and self-esteem significantly predicts subjective well-being. The relationship between affective engagement in social media use and sense to belong to online community is mediated by number of friends or followers on social media platforms. Conclusion: The findings of this study extend the previous research, providing support for the relationship between active social media use and subjective well-being. Keywords: active social media use; number of friends/followers; affective engagement in social media use; sense to belong to online community; subjective well-being; mediation analysis.

Elena stănculescu

Intensively cultivated rice-wheat cropping system of the Indo Gangetic plain (IGP) is a potential source of greenhouse gas (GHG) emissions.Agriculture sector emits GHGs like methane (CH4) and nitrous oxide (N2O). The total amount of GHGs emitted by a product is known as its carbon footprint (CFP).Quantification of CFP of crops will help in identifying management practices to reduce CFP of crop production. Studies related to assessing of CFP of agricultural products are lacking. The present review paper was aimed to discuss about the studies done on GHG emission from rice-wheat cropping system of the Indo Gangetic plains. The paper elaborates on what is CFP, how to calculate CFP of rice-wheat cropping system with the help of different case studies. The paper provides insights about certain agricultural management practices which can help in reducing CFP of rice-wheat cropping system. Discussion from this paper signifies the importance of carbon footprint assessment in maintaining the sustainability of rice wheat cropping system.

Dr.renu dhupper

Scheduling is the need of every project. Without scheduling, projects don’t fulfill time constraints, go over spending plan. It is a process utilized by teams to organize and structure their resources so the tasks they need to complete are scheduled based on availability and capability. This process is more beneficial if it is required to allocate and assign task to the resources without allocating their schedules. This paper reviews different types of network scheduling techniques, which are used to schedule a task. These techniques are very effective and help us to preplan the whole scheduling process

Vartika agarwal

This article investigates the integration of Artificial Intelligence (AI) with Electronic Health Records (EHR), exploring the transformative impact of this synergy on healthcare informatics. Through an in-depth analysis of recent advancements, practical implementations, and ethical considerations, the paper illuminates how AI is enhancing the efficiency, accuracy, and insights derived from EHR, ultimately contributing to improved patient care and clinical decision-making.

Dhruvitkumar talati