Various types of security attacks are normal in vehicular communication networks. The current study uses a support vector machine to implement a Point to Point Critical Path Monitoring (P2PCPM) based Denial of Service (DOS) Attack detection technique for Vehicular Communication Network (VCN) resource management. Greatest quality of P2PCPM is that it eliminates attacked nodes from the network for the smooth process of vehicular communication. This scheme works well in terms of accuracy as well as attack detection rate. The whole simulation is made and tried by utilizing MATLAB Software. Simulation result shows 99% accuracy in case of security attack detection as well as reduced training and testing error upto 2%. Experimental results indicate that this scheme has a great efficiency and works well up to 1000 nodes, which is the limitation of current implementation. In future, simulation test may be done for unlimited nodes using similar or other techniques of attack detection.
The bioactive phytochemicals are the most important bioactive compounds against insect herbivores. These phytochemicals produced by many legumes and react herbivore attacks. Therefore, keeping in mind the said facts, this review discusses the potential use of bioactive compounds like Proteinase inhibitors, trypsin inhibitors, lectins, vicillins (7S storage proteins), phenolics, amino acids, sugars and a-amylase inhibitors in legume plants as most important weapons that confer resistance against herbivorous insects. These inhibitors inhibiting proteases present in the larval gut and has insecticidal potential against insect pests. This review demonstrates the potential of natural phytochemicals from legume plants and or artificially diet incorporate to inhibit the development of pathogens and insect pests. Thus, legumes can be used to produce phytochemicals as bio-pesticides and minimize or avoid the use of agrochemicals in crop protection. This ability making them interesting bioactive for next generation of sustainable pesticides for more sustainable agriculture.
Introduction: Psilocybin mushroom use is well documented in spiritual and religious ceremonies globally. This drug is now the most popular in Europe and the USA. Objective: The objective of this study is to explore the experiences and effects of psilocybin on patients with depression and anxiety. Method: A qualitative study was conducted interviewing ten participants currently taking psilocybin while experiencing depression and/or anxiety. Ethical approval was obtained from the University ethics committee. Participants were recruited via social media and groups are known to have used psilocybin for the treatment of anxiety and/or depression. Participants were informed of study aims and consent was obtained before interviews commenced. Confidentiality was maintained throughout this study. Interviews began with informing participants that psilocybin may be effective in the management of depression. Initially, information around the way treatment with psilocybin was obtained was sought. This was followed by queries around the effects of the drug in terms of experiences both during and after treatment. Finally, participants were asked to outline the positive effects of psilocybin on their lives. Results: The data were thematically coded using Grounded Theory as an underpinning philosophical paradigm. Emerging themes included enhancement of smell, vision, hearing, and taste sensations. Another theme emerging was the experience of being ‘connected with the universe’ while on the drug. Additionally, participants reported a stabilization of mood, an increase in optimism and emotional control, and a healthier emotional connection with others. Most also felt an increase in comfort, peace and calmness. Another theme that emerged centered on the mechanism of action of psilocybin. Participants stated that this substance seemed to ‘make new connections in their brain,’ resulting in new perspectives. Some participants felt this resulted in a calming influence on the mind and body. This aligns with research showing that psilocybin works by changing the thinking and improving information processing. Conclusion: Psilocybin has promising effects on the patients with depression/anxiety even after a single dose. Psilocybin is safe but the administration should be guided by a health professional to yield safe and positive outcomes.
Eighteen chickpea (Cicer arietinum L.) genotypes were evaluated for yield and their susceptibility reaction against gram pod borer, Helicoverpa armigera Hub. for three consecutive years under natural field conditions during rabi 2010-11, 2011-12 and 2012-13 at Hisar. Among these, maximum grain yield was realized from the genotype H 04-28 (13.00 q/ha) during the season rabi 2010-11 and it was statistically at par with RSG 931 (12.45 q/ha), H 03-56 (11.73 q/ha) and RSG 963 (10.82 q/ha) during rabi 2011-12 and it was statistically at par with GNG 1488 (10.01 q/ha), CSJ 140 (9.07 q/ha) and H 03-56 (8.95 q/ha) during Rabi 2012-13 and it was statistically at par with RSG 888 (8.80 q/ha) and GNG 1591 (7.79 q/ha). However, on the basis of average of three years (2010-11 to 2012-13), the maximum yield was exhibited by the genotype GNG 1488 (9.36 q/ha) followed by RSG 931 (8.95 q/ha), H 04-28 (8.32 q/ha) and H 03-56 (8.20 q/ha). The genotype H 03-56 flowered earliest in 68-71 days and proved the best donor against gram pod borer with PSR 4.7. Minimum larval population was recorded in BG 256 (15.8 l/mrl) and it was followed by GL 25016 (17.5 l/mrl) and H 04-28 (18.5 l/mrl). Minimum per cent pod infestation by H. armigera was recorded in genotype H 01-27 (27.8%) and it was superior over all other genotypes. It was followed by H 03-56 (29.5%), CSJ 140 (30.9%) and GNG 1488 (31.3%). H 01-27 proved least susceptible genotype under natural field condition. The genotype H 03-56 flowered earliest and seemed to be the best as potential donor for pod borer’s tolerance under late sown condition. GNG 1488, RSG 931, H 04-28, H 03-56 and RSG 963 proved promising genotypes for yield and against H. armigera. These genotypes may further be utilized in breeding programmes to develop the high yielding and tolerant cultivars against gram pod borer.
The current study was conducted to explore the antiemetic activity of two marine algae, Iyengaria stellata Børgesen (Phaeophycota) and Valoniopsis pachynema Børgesen (Chlorophycota), by chick emesis model. Emesis was induced by copper sulphate (50 mg/kg), and the extracts were tested orally at 150 mg/kg. Chlorpromazine (150 mg/kg orally) was used as a standard antiemetic drug. The results showed that methanol extracts of both seaweeds have antiemetic activity.
Introduction: Schizotypal personality represents genetic underpinning of schizophrenia spectrum disorders; hence, it provides conceptual models for understanding psychosis as well as a scheme for high-risk group identification. The study of structure of schizotypal personality is largely confined to western societies, whereas its assessment in varied socio-cultural groups is highly required. Aim: To study the factor structure of schizotypal personality in an Indian population. Materials and Methods: A sample of 492 college students (age, Mean= 21.3, SD= 2.61) filled the Hindi translated version of 74- items Schizotypal Personality Questionnaire (SPQ). Confirmatory Factor Analysis (CFA) technique was used to test the fitness (consonance of the modeled relationships, among latent and observed variables, in the sampled population) of different schizotypal personality models, that is, two-, three-, four-, bi-, and uni-factor models. The best-fit model was also studied for Measurement Invariance (MI) across gender groups. Results: Three, four, and bi-factor models adequately fitted the data. Whereas, four-factor model was the best good-fit model. It also showed partially strong MI across gender groups. The internal consistency of total SPQ was 0.90 and of subscales ranged from 0.62 to 0.78. Men scored higher on several schizotypal facets but lower on social anxiety as compared to women. Conclusion: The factor structure of schizotypal personality in India is similar to that reported elsewhere in the world. Thus, the present study supports the generalisation of schizotypal personality construct to the Indian people.
Adenoid Facies and its Management: An Orthodontic Perspective Adenoid facies is a disorder which refers to the open-mouthed face of children who have long faces with adenoid hypertrophy. Hypertrophy of the lymphoid tissues in the throat (the adenoids) is the most common cause of nasal obstruction in children. The mouth is always open because upper airway congestion/narrowing has made patients obligatory mouth breathers. Persistent mouth breathing is seen due to nasal obstruction in children and it may be associated with the development of craniofacial anomalies such as the adenoid facies (also called the “long face syndrome”). The most common symptoms are habitual mouth breathing and snoring. The most dangerous symptom is sleep apnea due to obstruction. This article discusses the orthodontic aspects of diagnosis and treatment of adenoid facies.
Since October 17, 2019, Lebanon has experienced unprecedented popular protests, demanding the departure of the entire political class, accused of being gangrened by corruption. Country paralyzed, institutions closed for more than two weeks, the eyes are turned to universities that have closed their doors but whose community (teachers and students) actively participate in the national jump. This study explores the use of social media by universities in Lebanon during the national revolution using social big data technology on Twitter in comparison to the national usage of twitter. Important information was collected, analyzed and visualized using the R language.
The motto behind the keenness of urban areas has become unmistakable in current cities because of the rise of installed and associated shrewd gadgets, frameworks, and innovations. It is possible to connect every object to the Internet. As a result, in the impending Internet of Things era, the “Internet of Vehicles-IoV” will play a critical role in newly developed dazzling urban communities. The IoV can possibly address different traffic and street wellbeing issues successfully to forestall deadly crashes. In any case, a specific test of IoV, particularly in “Vehicle-to-Vehicle” as well as “Vehicle-to-Infrastructure” communications, guarantees quick, in order to transmit securely and exact performance of the information. The above effort is modifying Blockchain innovation for continuous application called RTA to meet “Vehicle-to-Every thing-V2x” communications problems in order to overcome these challenges. As a result, the main goal of the study is to develop a Blockchain-based IoT framework for establishing communication security and creating a completely decentralized computing platform. Research methodology used here is divided into two major sections. In the part 1 presented below, authors discuss the traceability and optimization over Merkle trees. The second section deals with implementing an actual blockchain with our optimized Merkle tree as the underlying technology to represent a distributed trust based ledger.
Unmanned aerial vehicles (UAVs) are aerial systems controlled remotely or autonomously by astronauts. Massive advancements in electronics and information technology have prompted the popularity and growth of UAVs. As a result of the huge advances made in electronics and information technology, civilian tasks can now be accomplished with UAV in a more effective, efficient, and secure way. Known as a drone, UAVs are developed and operated using a variety of technologies such as machine learning, computer vision, artificial intelligence, and collision avoidance. Having become more affordable and accessible, drone technology has become more popular among civilians. Therefore, this technology is constantly evolving and can be used across a variety of fields. The application of drones makes a huge difference in the most demanding and complex industrial environments such as those in the mining industry, maritime, oil, gas, and seaports. The usage of drones is increasing among industrialists to improve and optimize processes, as well as to enhance operational efficiency in industrial process. This chapter discusses UAVs on a wide range of topics, including evolution and historical perspectives of UAV, taxonomy of UAV, significance of UAV to society and industry, and industrial and academic perspectives on UAV.
This study aims to investigate the relationship between green marketing elements and customer purchase intention. To conceptualize green marketing, the researcher has researched the literature and identified the green marketing elements which include Green products, Green price, Green place, Green promotion, and Green Distribution. By using the snowball sampling technique, questionnaires from the respondents were collected as part of the study's survey methodology. According to the study's findings, there is a clear, substantial correlation between customer purchase intention and Green marketing.
Dengue is an acute infection disease caused by a flavi virus (species Dengue virus of the genus Flavi virus), transmitted by female mosquito aedes mosquito, infection has globally become a major public health concern since the incidence of the dengue fever has increased more than 30-fold over the last decades. The dengue fever has been a most important public health problems since many years and the various outbreak of the dengue cases has been seen time to time. One of the reasons for the increasing and time to time outbreak of the dengue may be the reason of climate change, global warming, lack of knowledge about signs, symptoms, transmission, preventive measure and lack of ignorance or lack of the preventive practice of the dengue fever. Method: Descriptive, cross-sectional study on 192 head of household's was study population residing in Kanchan RM, Rupandehi Respondent was selected using Non probability judgmental sampling techniques by face-to-face interview was used. Result shows 58.3% good knowledge and 62% good practice. Knowledge was found to be associated with Age, Types of family, Size of family, educational level and Family suffered from dengue. Preventive practice was found to be associated with the Ever heard from health professional. Study will contribute towards development of appropriate policy strategies at local level that will tackle the problem associated with the knowledge and preventive practice of DF and provide a basis for future research on this area. Inferential analysis shows that there is significant association between the level of knowledge with age, types of family, size of family, educational level and family suffered from dengue and the level of preventive practice was associated with the ever heard from health professional.
In the research described in this paper, we used computer simulations to analyze and compare different types of game strategies in the popular board game Don't Get Angry. Following a brief introduction, we summarized a few previous research papers examining similar board games' game strategies. Next, after a review of the Don't Get Angry game's official rules, we outlined four strategies that can be applied to increase the likelihood of winning. We simulated 50,000 games in which all four players made their moves randomly and 50,000 games where each used a different strategy. We tracked how frequently each player finished first, second, third, or last during the simulations. Furthermore, we recorded how many rounds were needed to complete the game for each player, how many times the players’ pawns were kicked out and returned to their houses by other players, and the number of players’ remaining steps during every gameplay. From the analysis of the recorded data, we could conclude that significant differences exist in the chances of winning the game for the examined strategies when all players use different strategies. The results improve the specific domain knowledge for the Don't Get Angry board game. It may help create more vigorous computer opponents and encourage further study to create a tool for evaluating students' strategic thinking while playing.
Development of thematic teaching materials based on Islamic values, especially those related to the contents of the verses of the Alqur'an and / or hadith as the basis of all science. In the available books, there are no thematic teaching materials that are integrated with the Al-Quran and Hadith, as well as Islamic values ??that are able to implement the core competencies of the 2013 curriculum, namely the competence of spiritual attitudes in thematic learning. The formulation of this research is: (1) producing thematic teaching materials based on Islamic values ??theme 7 (Leadership) class 6 Madrasah Ibtidaiyah Negeri 2 Jember. (2) to determine the effectiveness of thematic teaching materials based on Islamic values ??in learning. This study uses a research and development research type, the Borg and Gall model which is divided into 10 steps, namely: (1) research and data collection (2) planning, (3) product draft development, (4) initial field trials, ( 5) revising the results of trials, (6) field trials, (7) improving products from field tests, (8) conducting field trials, (9) improving product results, and (10) disseminating and implementing. The testing technique was carried out by comparing the pre-test and post-test values. The data was calculated using the t-test and processed using the SPSS application to determine the effectiveness of teaching materials. The results of this study indicate: the validation test produces an average of 88.79% with the criteria that the book is very suitable for use in learning. In terms of attractiveness, this book is very interesting to use for students, this is based on the results of the questionnaire data given to students with an average of 88.24% with very attractive qualifications. Meanwhile, from the results of the pre-test and post-test based on the t count which shows that it is greater than the t table, it means that the book is effective for use in learning. Pengembangan bahan ajar tematik berbasis nilai keislaman, terutama yang terkait dengan isi ayat Alqur'an dan/atau hadits sebagai dasar dari semua sains. Dalam buku yang telah tersedia tidak ada bahan ajar tematik yang terintegrasi dengan Al-Quran, dan Hadits, serta nilai-nilai Islam yang mampu mengimplementasikan kompetensi inti dari kurikulum 2013 yaitu kompetensi sikap spiritual dalam pembelajaran tematik. Perumusan penelitian ini yaitu: (1) menghasilkan bahan ajar tematik berbasis nilai keislaman tema 7 (Kepemimpinan) kelas 6 Madrasah Ibtidaiyah Negeri 2 Jember. (2) mengetahui efektifitas bahan ajar tematik berbasis nilai-nilai keislaman dalam pembelajaran. Penelitian ini menggunakan jenis penelitian pengembangan Research and Development, model Borg and Gall yang terbagi menjadi 10 langkah, yaitu: (1) penelitian dan pengumpulan data (2) perencanaan, (3) pengembangan draf produk, (4) uji coba lapangan awal, (5) merevisi hasil uji coba, (6) uji coba lapangan, (7) penyempurnaan produk hasil uji lapangan, (8) uji pelaksanaan lapangan, (9) penyempurnaan produk hasil, dan (10) diseminasi dan implementasi. Teknik uji coba dilakukan dengan membandingkan nilai pre-test dan post-test. Data dihitung dengan uji-t dan diolah menggunakan aplikasi SPSS untuk mengetahui efektifitas bahan ajar. Hasil penelitian ini menunjukkan: uji validasi tersebut rata-rata menghasilkan 88,79 % dengan kriteria bahwa buku tersebut sangat layak untuk digunakan dalam pembelajaran. Dari segi kemenarikan, buku ini sangat menarik untuk digunakan pada siswa, hal ini berdasarkan dari hasil data angket yang diberikan kepada siswa dengan rata-rata 88,24% dengan kualifikasi sangat menarik. Sedangkan dari hasil pre-test dan pos-test berdasarkan uji t hitung yang menunjukan lebih besar dari t tabel, berarti buku tersebut efektif untuk digunakan dalam pembelajaran.
The establishment of the Nepal Journal of Multidisciplinary Research (NJMR) aimed to facilitate the exchange of knowledge among global scholars. Consequently, a thorough examination of NJMR's trajectory toward its objectives became essential. This investigation, conducted through systematic review methods, durations five years and encompasses 164 articles, including one special issue. Throughout this period, the journal exhibited growing interest across diverse areas of study, although a notable observation was the limited citations in many articles. The majority of contributions came from scholars in Nepal and India, covering a wide range of subjects. Notably, Tribhuvan University emerged as a leading contributor, particularly in the areas of software development and cultural practices, which received more citations. The predominant focus of the journal was on quantitative research; however, there is a recognized need to acknowledge and emphasize the value of qualitative findings. To enhance its academic standing, the Nepal Journal of Multidisciplinary Research [NJMR] could benefit from increased global awareness, engagement, and a more balanced approach to research methods. Gaining wider acceptance may involve fostering international collaboration and ensuring a more comprehensive representation of qualitative research within its publications. By addressing these aspects, the journal has the potential to elevate its academic impact and contribute more substantially to the global scholarly community.
The recent boom in Android mobile device usage has caused a shift in the information technology and has affected the way how information and data are stored, shared among the mobile users. The advent of social networking applications also demands the availability of resources that can be shared among the authentic users. This paper reviews and compares the available techniques and solutions for detecting Unexpected Permission Authorization to Mobile Apps. It is observed that malware for the android system is also growing significantly, current solutions for detecting malware on smartphones are still ineffective.
Moringa oleifera, a very important healthful plant, is one amongst the foremost wide cultivated species of the family Moringaceae. It's extremely valued from past as a result of its large healthful properties. Moringa oleifera, native to India, grows within the tropical and climatic zone regions of the globe. It's commonly called drumstick tree or horseradish tree. Moringa will face up to each severe drought and gentle frost conditions and, therefore wide, cultivated across the globe. With its high alimentary values, each part of the tree is appropriate for either nutritional or commercial purposes. The leaves are rich in minerals, vitamins and alternative essential phytochemicals. Extracts from the leaves are useful in treatment of anemia, enhance breast milk in wet mothers. It's used as a potential antioxidant, anti-cancer, anti-inflammatory, anti-diabetic and antimicrobial agent. Thus, this study was aim to investigate the phytoconstituents from ethanolic and aqueous extracts of the Moringa oleifera cultivated in Libya and to assess its anti-bacterial and anti-diabetics activity. The phytochemical investigations of these extracts of Moringa oleifera revealed the presence of alkaloids, carbohydrates, flavonoids, saponins, steroids, tannins and phenolic compounds. The antibacterial activity of cold and hot extraction of methanolic and water extracts of Moringa oleifera by using the well diffusion method were assessed. Results revealed that there was a profound antibacterial activity of the studied Moringa oleifera against representatives of Gram-positive bacteria. After in vitro evaluation of anti-hyperglycemic properties of the ethanolic extract of Moringa oleifera by testing its capacity to inhibit α-amylase activity, the methanolic extract exhibited inhibitory effect on the α-amylase enzyme.
Mediterranean journal of pharmacy and pharmaceutical sciences
X-ray crystallography has been central to the development of many fields of science over the past century. It has now matured to a point that as long as good-quality crystals are available, their atomic structure can be routinely determined in three dimensions. However, many samples in physics, chemistry, materials science, nanoscience, geology, and biology are noncrystalline, and thus their three-dimensional structures are not accessible by traditional x-ray crystallography. Overcoming this hurdle has required the development of new coherent imaging methods to harness new coherent x-ray light sources. Here we review the revolutionary advances that are transforming x-ray sources and imaging in the 21st century.
The article is a discourse analysis of the Wildflower telerserye, exploring the themes and portrayals of the main character and the ambiguities projected by her characterization. The research’s objective revolves around the details that upon the attempt of the telersye to flaunt the modern archetypes of a Filipina, a strong and empowered woman who liberates under the yoke of patriarchal hegemony, her actions and ways were deemed crucial and subjected to great scrutiny. The researcher also dealt with how these portrayals affect and reflect the Filipinos’ way of thinking and sense of morality. Two major literary theories were used to underscore the article’s crucial points. To show how the woman portrayals in teleserye try to subvert the idea and configuration of patriarchy, Feminism (Helene Cixous) was used. Meanwhile, Deconstructionism (Jacques Derrida) was employed to show that in the attempt of the teleserye to empower the woman lead character, remove her from her marginalized and stereotypical views, and liberate her from the yoke of patriarchal hegemony, the result was otherwise. Based on these analyses, a synthesis of Filipinos’ sensibilities on how it affects and reflects their ways of thinking was crafted.
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.