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

Fahmina taranum

Improper use of medicines may carry possible health dangers and more evidence continues to stand that adverse drug reactions to medicines are common but often preventable. Self-medication phenomena with over the counter medicines is common among people. It is regarded as essential issue of self-care. Over the counter medicines use such as analgesics among children and adolescents is continuously increasing in Libya. This constitutes an important public health concern. The aim of this study is to focus on adolescent's self-medication phenomena about the over the counter medicines that teens frequently used to treat minor and serious diseases. This work collected information throughout survey-comprised number of questions for the teenagers bought medicines from private pharmacies at two different secondary schools in Benghazi city, Libya, without prescription. The sample size was 120 students, 58 males and 62 females in age range of 15-18 years. Data collected from questionnaire were analyzed for pattern of medicine use. Male adolescents bought toothache and muscle-spasm medicines more frequently than female adolescents. On the other hand, female adolescents administered more over the counter medications monthly than males. The use of over the counter medicines has been found highly rated and exaggerated among secondary school teenagers. In conclusion, adolescents have to be educated regarding over the counter medicine use in Libya. The need for promoting the appropriate use of medicines healthcare system is an important issue. This can be achieved through an educational strategy involved different public sectors such as health and education authorities.

Mediterranean journal of pharmacy and pharmaceutical sciences

In the last decade, we have observed the usage of artificial intelligence algorithms and machine learning models in industry, education, healthcare, entertainment, and several other areas. In this paper, we focus on using machine learning algorithms in the loan approval process of financial institutions. First, we briefly review some prior research papers that dealt with loan approval predictions using machine learning models. Next, we analyze the loan approval prediction dataset we downloaded from Kaggle, which was used in this paper to compare several machine learning classification models. During this analysis, we observed that credit scores and loan terms are the attributes that probably most affect the result. Next, we divided the dataset into a training set (80%) and a test set (20%). We trained 27 various machine learning models in MATLAB. Three models were optimized with Bayesian optimization to find the best hyperparameters with minimum error. We used 5-fold cross-validation for the validations to prevent overfitting during the training. In the following step, we used the test set on trained models to measure the models’ accuracy on unseen data. The result showed that the best accuracy both on validation and test data, more than 98%, was reached with neural networks and ensemble classification models.

Ladislav végh

Pheochromocytoma is a catecholamine-producing neuroendocrine tumor leading to hypertensive crises in untreated patients. Presentation in pregnancy can mimic gestational hypertension or pre-eclampsia. Physicians need to keep a high index of suspicion to have timely diagnosis and management of pheochromocytoma during pregnancy. We report a 27-year-old female who was diagnosed with pheochromocytoma at 18 weeks of gestation and she underwent laparoscopic adrenalectomy at 22 weeks of gestation with a good pregnancy outcome and with no recurrence over 8 years of follow-up.

Karishma

When we tested various industrial wastewater samples collected from different industries they shown high amount of toxic chemical components, and the samples are unfit for irrigation or for any kind of activity. Irrigation of untreated wastewater for long time leads to soil pollution by accumulating toxic salts in the soil. The regular growth of plant get effected by this water like improper growth, low chlorophyll content, low carotenoids content, low yield, etc. Three different types of oil yielding plants (Mustard, Ground nut and Sunflower) and three different types of vegetable crops (Tomato, Chilly and Brinjal) has grown by using different industrial wastewater samples. The primitive parameters of vegetative growth (imbibition, seed germination and vigour index) and nutritional components (chlorophyll a, b and carotenoids) have been observed in all the samples after growing for a particular time period. The imbibition test of seed samples in industrial wastewater samples have not shown significant variation compared to imbibition in distilled water sample. All the seeds in all wastewater samples absorbed almost negligible difference but in the percentage of germination there is significant difference. The tests for nutritional compositions have also shown significant decrease in chlorophyll a, b and carotenoids in all varieties.

Veerabhadraswamy al

As one of the flow-based passive sorting, the hydrodynamic filtration using a microfluidic-chip has shown to effectively separate into different sizes of subpopulations from cell or particle suspensions. Its model framework involving two-phase Newtonian or generalized Newtonian fluid (GNF) was developed, by performing the complete analysis of laminar flow and complicated networks of main and multiple branch channels. To predict rigorously what occurs in flow fields, we estimated pressure drop, velocity profile, and the ratio of the flow fraction at each branch point, in which the analytical model was validated with numerical flow simulations. As a model fluid of the GNF, polysaccharide solution based on Carreau type was examined. The objective parameters aiming practical channel design include the number of the branches and the length of narrow section of each branch for arbitrary conditions. The flow fraction and the number of branches are distinctly affected by the viscosity ratio between feed and side flows. As the side flow becomes more viscous, the flow fraction increases but the number of branches decreases, which enables a compact chip designed with fewer branches being operated under the same throughput. Hence, our rational design analysis indicates the significance of constitutive properties of each stream.

Myung-suk chun

Purpose – The purpose of this review is to critically analyse the extant research and help readers understand the ways the school-based comprehensive sexuality education (CSE) can contribute towards youth development and urge policymakers to implement nationwide good-quality, scientific, culturally relevant, age-appropriate and holistic school-based CSE. Design/methodology/approach – This literature review has been designed using the extant information available on Google Scholar, Web of Science (WoS) and PubMed. Findings – The findings of this review inform that there is a significant need amongst the youth of the day for good-quality, scientific, culturally relevant, age-appropriate and holistic school-based CSE. Also, the findings suggest that there are significant associations between school-based CSE and youth development. Research limitations/implications – This research paper although draws from extant literature about sexuality education and its delivery across the globe, it applies the sexuality education scenario in India. Practical implications – The findings of this review aim to implicate nationwide policy-level changes to implement CSE in the school curricula. There are more practical behavioural changes that CSE could foster amongst students, which are discussed in the review. Social implications – Due to the behavioural changes that CSE could foster amongst students, it may help in the upbringing of responsible citizens who are free of health complications, who can make independent health related decisions and look after each other in the community. Originality/value – This review is an original contribution from the author. Whilst there is extant literature about CSE and youth development, this article fills the void by investigating the interdependent contributions that both the concepts can make to one another and encourages more research on this topic.

Hari hara sudhan r

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.

Ladislav végh

This study examines Javanese Krama's learning in improving students' ability to speak politely at MIMA 35 Nurul Ulum Ambulu. This research approach is a descriptive qualitative approach, and the type of research used is phenomenology. Data collection techniques using interviews, observation, and documentation. While the data analysis using the model of Miles, Huberman, and Johnny Saldana consists of data condensation, data presentation, and conclusion. The results of this study are 1) Planning for learning the Javanese Krama language to improve the ability of students to speak politely at MIMA 35 Nurul Ulum Ambulu, namely: the teacher prepares a Learning Implementation Plan, prepares to memorize material for the Javanese Krama language vocabulary for students. 2) Implementation of Javanese Krama language learning in improving the ability of students to speak politely at MIMA 35 Nurul Ulum Ambulu, namely: opening, core, and closing activities. Then the habit of using Javanese manners during learning hours and outside the classroom. 3) Evaluation of Javanese Krama language learning in improving the ability of students to speak politely at MIMA 35 Nurul Ulum Ambulu, namely: in the classroom using daily questions, PTS and PAS. Meanwhile, habituation outside of learning hours is by assessing students' speech and manners. 4) The implications of learning Javanese Krama in improving the ability of students to speak politely at MIMA 35 Nurul Ulum Ambulu have a positive impact on students becoming accustomed to using Javanese Krama when communicating with teachers both in attitude and speech.

Educare: journal of primary education

Effective project management requires an understanding of how stakeholders are impacted by project failure. It draws attention to the effects on those involve finances, reputations, and emotions, assisting organizations in risk avoidance and fostering stakeholder satisfaction, trust, and long-term success. The purpose of this study is to provide proactive risk management, stakeholder involvement, and project result strategies. In order to compile this study, we have used a number literature reviews ranging from 2004 to 2023. The study's findings show that project failure results in significant financial losses, harms reputation, has legal ramifications, affects employee wellbeing, stifles relationships with stakeholders, stifles innovation, and endangers communities and the environment. By Adopting proactive risk management, strong governance, open communication, employee support, stakeholder involvement, strategic resource allocation, and social and environmental responsibility to reduce these negative effects and achieve sustainable project outcomes. The policymakers, practitioners and academia should focus risk factors those are associated with the project failure and hance manage a good harmony among the stakeholders.

Nazim ullah

Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require caution, and even the smallest error in diagnosis can have negative repercussions. Medical errors in brain tumor diagnosis are common and frequently result in higher patient mortality rates. Magnetic resonance imaging (MRI) is widely used for tumor evaluation and detection. However, MRI generates large amounts of data, making manual segmentation difficult and laborious work, limiting the use of accurate measurements in clinical practice. As a result, automated and dependable segmentation methods are required. Automatic segmentation and early detection of brain tumors are difficult tasks in computer vision due to their high spatial and structural variability. Therefore, early diagnosis or detection and treatment are critical. Various traditional Machine learning (ML) techniques have been used to detect various types of brain tumors. The main issue with these models is that the features were manually extracted. To address the aforementioned insightful issues, this paper presents a hybrid deep transfer learning (GN-AlexNet) model of BT tri-classification (pituitary, meningioma, and glioma). The proposed model combines GoogleNet architecture with the AlexNet model by removing the five layers of GoogleNet and adding ten layers of the AlexNet model, which extracts features and classifies them automatically. On the same CE-MRI dataset, the proposed model was compared to transfer learning techniques (VGG-16, AlexNet, SqeezNet, ResNet, and MobileNet-V2) and ML/DL. The proposed model outperformed the current methods in terms of accuracy and sensitivity (accuracy of 99.51% and sensitivity of 98.90%).

Mehdhar s. a. m. al-gaashani

The National Education Policy 2020 (NEP 2020) aims to modernize India's higher education system by prioritizing the learner, increasing accessibility, and fostering inclusivity. It emphasizes the importance of libraries as information hubs and libraries, with the policy focusing on their resources and facilities. The policy requires sufficient library employees to manage facilities, create suitable career courses, and foster cooperation between educational institutions and libraries. Infrastructures for libraries are crucial for adult education, lifelong learning, and study. Schools, school complexes, and public library locations should be well-designed and equipped with information and communication technology. Central and state governments are responsible for creating and funding libraries, ensuring they are available and reasonably priced for everyone in the nation. Digital libraries and online resources are included in the NEP 2020, with efforts to improve accessibility online and expand the reach of digital libraries. The policy also includes provisions for enhancing all current libraries, establishing reading rooms and rural libraries in underprivileged areas, making reading materials in Indian languages widely accessible, opening child-friendly and transportable libraries, creating social literary societies, and promoting better partnerships between educational institutions and libraries. The government is focusing on providing top-notch online resources for education, including digital resources, online courses, applications, satellite TV channels, online books, and IT-equipped libraries and Adult Education Centers across India. The policy has significantly raised the standard of instruction in India's higher education establishments, providing students with a more comprehensive and holistic education. Preliminary findings suggest that the policy has had positive effects, but significant human, material, and technological resources are needed for its success. The policy also seeks to increase diversity in higher education by providing financial aid and scholarships to underrepresented groups.

Dr. awadhesh singh gautam

Study objectives: The study aimed to evaluate the antitussive effect of aerial parts of ethanolic extract of Caesalpinia pulcherrima (Caesalpiniaceae). Methods: In this study, cough was induced by the sulfur dioxide induction method. Four groups of animals were made, with six animals in each group, and all drugs were administered orally. Group I was used as a control, group II as a standard, and groups III and IV received 200 and 400 mg/kg Caesalpinia pulcherrima aerial parts extract. Results: Caesalpinia pulcherrima aerial parts (CPAP) extract suppressed cough. Doses of 200 and 400 mg/kg Caesalpinia pulcherrima aerial parts extract showed highly significant results compared to the standard at 60 and 90 min of drug administration. Conclusion: From the above results, it can be concluded that plants have significant activity in cough suppression.

Dr. salman ahmed

Internet of things describes the network of physical objects such as sensors, receivers, transmitters and other technologies which are used in VCN. In Vehicular communication network two or more vehicles are communicate with each other. VCN use advanced technologies to solve transportation related problems like long traffic delays, road accidents and air pollution. IOT based technologies make vehicular network smart. In this chapter we reviewed about network resource allocation security techniques, challenges and also discuss how we can make vehicular communication network smarter. We reviewed about different models and schemes for V2V communication. These schemes were developed to ensure a fair, efficient and transparent allocation of resource in an intelligent transportation system.

Vartika agarwal

Dr. G. Kamalakar, Pursuing Post-Doctoral Fellow ICSSR, Research Assistant, ICSSR Major Research Project, Department of History, Dr. B.R. Ambedkar Open University. with a Ph.D in Political Science. He is awarded Doctorate by the Osmania University, Hyderabad, for the thesis on “WTO and GATS: Implication for the Indian Higher Education”. He is the recipient of RGNF Fellowship from the UGC and Pre-Doctoral Fellowship from OUCIP. He worked as a guest faculty at City College, Hyderabad and as a Counselor at Ambedkar Open University. He has written 3 books and edited 4 books and also published research articles in 17 UGC care list Journals. He also reviewed 11 Books and published them in UGC care list journals and sage publications. He received 7 awards including Amazing Grace Award, Pride India Award, Dr.B.R. Ambedkar Excellency Award, International Research Excellence Award, Dr. A.P.J. Abdul Kalam Life Time Achievement National Award, National best Teacher Award and Vidya Bharati Award. He presented research papers in more than 24 International, National Conferences and seminars. He has published thematic research papers in 13 National and 30 International Level Peer Reviewed / Refereed Research Journals He is also the Assistant Editor to an International journal and a Member of Editorial board & Reviewer for National and International journals published from 20 countries like USA, Turkey, Syria, UK, Pakistan, China etc. and has membership in 4 various associations.

Dr gedam kamalakar

The very first recruitment for a public relations practitioner in Malaysia was encountered in 1948 and was advertised by the federal government of the British Colony in Malaya. This paper examines the subsequent advertisements after Malaya sought independence from the British colonial government. A total of eleven recruitment advertisements were found before the formation of Malaysia on the 16th September 1963. This paper outlines the advertisers, the titles of positions, as well as their qualifications and duties. The results show that the job requirement mainly came from the federal and local governments. Generally, the duties were related to information services and some specific responsibilities.

Mohammed fadel arandas

Writing is a complex skill and is difficult for students to master well. This study aims to determine the effect of the application of Think Talk Write learning models with poster media on the writing skills of persuasion essay from fifth grade elementary school students. This type of research is a quasi-experimental design with a pre-test post-test control group. The sample in this study was VA and V class students of SDN Rambigundam 01 Jember. Collecting data in this study using interviews, tests, and documentation. The data analysis technique of student learning outcomes uses t-test. Based on the results of the t-test on the learning outcomes of students' persuasive essay writing skills, it is known that the value of tcount> ttable, (2.208> 2.0180), so it can be concluded that the hypothesis is accepted that the Think Talk Write learning model through poster media influences the writing skills of persuasion writing in the fifth grade students of SDN Rambigundam Jember 1. The results of the pretest and posttest activities also showed that the increase in the value of writing skills written by students in the experimental class was higher than the increase experienced by the control class. Difference in the increase in the average value experienced by the experimental class and control class by 3,7. Menulis merupakan salah satu keterampilan yang kompleks dan sulit dikuasai siswa dengan baik. Penelitian ini bertujuan untuk mengetahui pengaruh penerapan model pembelajaran Think Talk Writedengan media poster terhadap keterampilan menulis karangan persuasi siswa kelas V SD. Jenis penelitian ini merupakan eksperimen semu dengan desainpre-test post-test control group. Sampel dalam penelitian ini adalah siswa kelas VA dan V B SDN Rambigundam 01 Jember. Pengumpulan data dalam penelitian ini menggunakan metode wawancara, tes, dan dokumentasi. Teknik analisisdata hasil belajar siswa menggunakan uji t-test. Berdasarkan hasil uji-t terhadap hasil belajar keterampilan menulis karangan persuasif siswa, diketahui bahwa nilai thitung>ttabel, (2,208>2,0180), sehingga dapat disimpulkan bahwa hipotesis diterima yaitu model pembelajaran Think Talk Write melalui media poster berpengaruh terhadap keterampilan menulis karangan persuasi pada siswa kelas V SDN Rambigundam 01 Jember. Hasil kegiatan pretest dan posttest juga menunjukan bahwa peningkatan nilai keterampilan menulis karangan siswa di kelas eksperimen lebih tinggi dari pada peningkatan yang dialami kelas kontrol. Selisih peningkatan rata-rata nilai yang dialami kelas eksperimen dan kelas kontrol sebesar 3,7.

Educare: journal of primary education

Background: Exhaust noise is known to be a major pollutant in the environment and workplaces due to the development of industry and transportation. Exhaust noise can be reduced to normal levels by mufflers or silencers. A reactive muffler efficiently dampens noise at low frequencies by reflecting sound waves. Therefore, muffler design is of great importance in exhaust noise reduction. Transmission loss (TL) is an essential characteristic of mufflers, demonstrating their acoustical properties. Any acoustical appliance is selected based on its damping performance and reliability. Predicting TL through experimentation is different from theoretical calculations. Methods: In the present study, a double-expansion chamber muffler was designed as a reflective muffler on a laboratory scale by equations. Next, TL was evaluated by an impedance tube applying a 4-microphone technique to determine the acoustical performance of the designed muffler. Results: Findings revealed that the TL of the muffler at 312 Hz frequency obtained 27.5 dB agreement with the required TL of the muffler of 25 dB. In addition, the TL of the muffler against frequency attenuates noise in broadband frequencies. Conclusions: These results indicated that the built muffler provides desired TL for exhaust chambers. Therefore, equations can be used as a precise method for muffler design. Furthermore, multi-expansion chamber mufflers are useful for reducing noise at a wide range of frequencies.

Niloofar

Abstract Background. Numerous studies have found that various core muscles are involved in subjects with chronic low back pain. The evidence for profiles of respiratory muscle involvement in normal low backache subjects has not been reviewed explicitly for low back pain. Aims. The study’s primary objective was to scientifically analyze, condense, and to evaluate the evidence for the involvement of respiratory muscles in subjects suffering from chronic low back pain. Methods. This evaluation procedure will trail the guidelines of PRISMA and MOOSE. The assessors will use a custombuilt tool to extract data from the studies, regardless of the methodology used. A modified Downs and Black index will be used to assess the superiority of the methods used in the selected studies. Results. This index evaluates the characteristics of the subjects, the timing of the outcomes, and the characteristics of the interventions, and quantitative, formal analysis, so-called meta-analysis, is performed if necessary. The study’s effect, including the evidence, will be determined using the GRADE a framework for a systematic approach. Earlier research has found that core muscles are involved, and the interventions are tailored to include deficiencies and intrusions that target specific muscle groups. Conclusion. As an additional component that can be targeted by clinical practitioners in their day-to-day practice and added to rehab programmes, this systematic review protocol will summarise the list of evidence available for the rehabilitation of low back ache and highlight the involvement of respiratory muscles in lowback ache subjects. Keywords: chronic low back pain, diaphragmatic breathing exercises, respiratory muscles.

Nagaraj sibbala

In the teaching and learning process, teachers are required to be able to carry out their role to the fullest as a motivator and initiator in an effort to maintain and at the same time increase the enthusiasm of students to learn. Especially in the Covid-19 pandemic situation which requires educational institutions to carry out online learning. This study aims to discuss the teacher's role as a motivator and the teacher's role as an initiator in improving the quality of student learning in online learning at Madrasah Ibtidaiyah Ma'arif Condro Jember. This research uses qualitative research methods and the type of research is a case study. Data collection techniques using observation, interviews and documentation. The validity of the data using source triangulation and technical triangulation. Meanwhile, data analysis uses data condensation, data presentation and verification/conclusion. The results of this study indicate: 1) The teacher's role as a motivator in improving the quality of learning in online learning, namely: providing opportunities for students to play an active role in learning, providing reinforcement, praise or verbal appreciation, teachers listening to students' concerns and wishes to bond. good relationship between teachers and students. 2) The role of the teacher as an initiator in improving the quality of learning in online learning, namely: utilizing information and communication technology such as Whatsapp, Facebook, Google Meet and Google Form. Dalam proses belajar mengajar, guru dituntut untuk mampu melaksanakan perannya secara maksimal menjadi motivator dan inisiator dalam upaya menjaga dan sekaligus meningkatkan semangat belajar peserta didik. Terlebih dalam situasi pandemi Covid-19 yang menuntut lembaga pendidikan untuk melaksanakan pembelajaran secara Daring. Penelitian ini bertujuan untuk membahas tentang peran guru sebagai motivator dan peran guru sebagai inisiator dalam meningkatan kualitas belajar peserta didik pada pembelajaran daring di Madrasah Ibtidaiyah Ma’arif Condro Jember. Penelitian ini menggunakan metode penelitian kualitatif dan jenis penelitiannya adalah studi kasus. Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Keabsahan data menggunakan triangulasi sumber dan triangulasi teknik. Sedangkan analisis data menggunakan kondensasi data, penyajian data dan verifikasi/kesimpulan. Hasil penelitian ini menunjukkan: 1) Peran guru sebagai motivator dalam meningkatkan kualitas belajar pada pembelajaran daring yaitu: memberikan kesempatan kepada peserta didik untuk berperan aktif dalam pembelajaran, memberikan penguatan, pujian atau apresiasi secara verbal, guru mendengarkan keresahan dan keinginan peserta didik agar terjalin ikatan yang baik antara guru dan peserta didik. 2) Peran guru sebagai inisiator dalam meningkatkan kualitas belajar pada pembelajaran daring yaitu: memanfaatkan teknologi informasi dan komunikasi seperti Whatsapp, Facebook, Google Meet dan Google Form.

Educare: journal of primary education