Scholars who apply artificial intelligence to political questions seek, most generally, to expand the scope and relevance of political model analysis. By incorporating the effects of variable human notions, traditions, and meanings, they seek to humanize political models. Most early applications of artificial intelligence in political science research address substantive issues pertaining to political decision making. Most of these works apply production-system technology to construct choice models in for eign-policy decision contexts. In recent years, political applications have begun to diver sify. Today, lively research efforts flourish in widely varied application areas, such as computational text analysis, logic programming, computer learning, and conflict sim ulation. The works reviewed here constitute the early steps of a nascent program of study. Much remains to be accomplished. Nevertheless, the efforts conducted thus far suggest many potentially fruitful research avenues. Youth are the most essential and promising segment of every country’s population. India has a larger advantage over other countries in terms of becoming a global leader because we effectively tap into the youth’s potential. Quality education is the only way to achieve this. With artificial intelligence’s potential growth in India, now is the ideal time to incorporate AI in education to reap its benefits and prepare India’s young for the future. Artificial intelligence has great potential in India. India’s AI technology has the potential to make it a world leader in artificial intelligence. In India, AI technology is used effectively in nearly every area, including agriculture, healthcare, education, infrastructure, transportation, retail, manufacturing, and
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.
In this article, a systematic flow of contents was provided with regard to the synthesis of Atovaquone 1a on critical examination of the prior-arts. Several patents and study articles were published, disclosing different synthetic methods for the preparation of Atovaquone 1a at various scales. Based on the starting materials used, there are a few one-step, two-step and multi-step synthetic routes were reported with varied yields. In this work, we have put in our sincere effort to collect all the synthetic routes of Atovaquone 1a in detail with distinct and elaborate reaction schemes for a better and collective process clarity. From this review, global researchers will get a platform to re-design or re-work on the synthetic approach of Atovaquone 1a with better atom economy and purity. In addition, the drug commercialization angle could also be looked in during the design stage itself alongside green chemistry concepts. We have done the chronic analysis of study articles to highlight the commercial feasibility of the disclosed synthetic methods. A special emphasis was given to the synthetic routes with process development initiatives towards, recovery/reuse of costly starting materials/reagents/solvents and their feasibility for large scale manufacturing of drug Atovaquone 1a.
Mediterranean journal of pharmacy and pharmaceutical sciences
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.
The construct of Leadership entails the process of influencing other people to accomplish specific objectives. However, like love, the construct of Leadership is a universal desire that is virtually difficult to define explicitly (Klingborg, Moore and Varea-Hammond, 2006, p.280). It is characterised by the idea of an individual charisma capable of recruiting followers towards his or her path, promoting team-based problem-solving. Conversely, the concept of Leadership is based on many factors such as; "leaders are made not born", "he was a leader since he was a kid" and "if you have the will power, you can become an effective leader" (Klingborg, Moore and Varea-Hammond, 2006, p.280). However, scholars and organisations tend to focus on Leadership and how leaders impact an organisation. The leadership process entails how an individual influences other(s) to achieve a common goal or mission.
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.
In the present study the effect of the ethanol extract of Culcasia falcifolia on the neurotransmitter levels were evaluated. Pentylenetetrazole (PTZ) (60 mg/kg body weight, i. p) was administered to all the groups of mice to induce convulsions. After observing the convulsion, all groups rats were sacrificed, whole brain was dissected out and separated the forebrain. The brain tissue was homogenized and then centrifuged. The aqueous phase was taken for the assay. The reading was obtained using spectroflurimeter. The result of the present study shows that the ethanol extract of Culcasia falcifolia at the dose of 200 and 400 mg/kg body weight significantly increased the level of inhibitory neurotransmitter GABA and also showed significant increase in the levels of dopamine, noradrenalin and serotonin when compared to seizure control group (PTZ treated group) and was almost equivalent to control group. The findings of the study showed that the extract at 200 and 400 mg/kg body weight significantly (p<0.001) increased the levels of GABA, dopamine, serotonin and noradrenaline. The ethanol extract of Culcasia falcifolia exerted antiepileptic activity by decreasing seizure susceptibility to pentylenetetrazole-induced seizure in mice due to restoration of GABA, serotonin, dopamine and noradrenaline concentration levels in mice brain.
In this paper, we propose a deep learning approach for visual recognition of bird species in noisy environments. Bird species recognition has been a challenging task due to the high variation in bird appearances and the presence of noise and clutter in natural environments. Our approach utilizes a deep convolutional neural network (CNN) to learn discriminative features from bird images and classify them into different species. We also incorporate data augmentation techniques to increase the diversity of the training data and improve the robustness of the model. To address the issue of noisy environments, we introduce a novel noise-robust loss function that penalizes the model for incorrect predictions caused by noise. We evaluate our approach on a dataset of bird images collected from diverse environments and compare it with state-of-the-art methods. Our results demonstrate that our approach achieves superior performance in both clean and noisy environments, highlighting the effectiveness of our noise-robust loss function. Our approach has the potential to be applied in real world scenarios for bird species recognition and conservation.
This dissertation aimed to critically investigate how UK manufacturing companies can employ 3PL services to enhance business profitability. A simple, cross-sectional sequential mixed methods research methodology was implemented with the qualitative phase being used to explain the findings of the quantitative phase, which was performed first. Data for the quantitative period were collected using an online questionnaire that was designed and administered through a Google survey (N= 416). At the same time, semi-structured interviews were performed via Zoom calls with senior executives and managers of UK manufacturing firms (N= 5). Descriptive statistics, a one-sample t-test, and stepwise regression were used for quantitative data analysis using SPSS while manual analysis of interview data was performed in Microsoft Excel. The results showed that transportation and fleet management were the services that UK manufacturing companies outsourced to the most significant extent while clearing and forward and inventory management were the services that were outsourced to the lowest degree. The reasons behind this trend included the level of risk involved in outsourcing a particular service, availability of 3PL providers offering the outsourcing service, and the cost involved. In terms of feasibility, all items were scored highly, although increased operational flexibility and significant reduction of operational costs ranked highest. Finally, the stepwise regression test revealed four statistically significant models with an overall prediction power of 20.1% on business profitability. The statistically significant predictor variables were a reduction of operational costs, increased operational flexibility, reduced fixed asset costs, and the gaining of external resources from 3PL service providers.
Host plant resistance is an important tool for minimizing the losses in pigeonpea due to spotted pod borer, Maruca vitrata, which is the most threatening hidden pest of pigeonpea crop. Experiment was carried out to study the morphological and chemical traits in pigeonpea associated with expression of resistance to M. vitrata and their incidence in different sowing dates. The incidence of M. vitrata varied significantly among different sowing dates. Crop sown on D2 (1st week of July) resulted in maximum pod infestation by M. vitrata (13.1%). Minimum pod infestation (2.3%) and (2.9%) was recorded in D4 (3rd week of July) and D1 (3rd week of June) sown crop, respectively. Among different varieties, AL-201 registered lowest pod infestation (4.3%) as compared to Pusa-992 (7.9%). The non-glandular (type A), and glandular (type B) pod trichome density of top, middle and lower canopy of the plant and the pod wall thickness was responsible for the resistance to M. vitrata. Whereas, non-glandular (type C) pod trichomes, pod length, seed width and number of seeds per pod were associated with the susceptibility to spotted pod borer. Expression of resistance to M. vitrata pod infestation was associated with low amounts of crude protein and total soluble sugar and higher amount of fat content, phenol content and tannin content of seed as well as pod wall
Green computing is focusing on reducing the energy consumption, resource usage, carbon dioxide emission. It was found that Last year, Google used about 12.4 terawatt-hours of electricity. Energy consumption in data centers is reduced by decreasing the resource utilization that is by switching off or shifting the computing nodes to sleep mode. But when the servers are being used the energy consumption is minimized by using energy efficient scheduling and optimization techniques.In WNS the sensor nodes are deployed in remote areas, these sensors are powered by battery that decreases the lifetime, therefore by using energy efficient techniques can increase the uptime of the battery-operated devices in WNS. This work studied various energy efficient techniques that minimize energy consumption usage in Data Centers (DC) and the algorithms that increase the uptime of the battery-operated device in (WNS) Wireless Network Sensors.
The research paper aims to find out the relevance of the existing support system for accelerating women entrepreneurship development and how these entrepreneurial support services of various Institutions expedite the process of social inclusion of women. The study has been conducted in the West Tripura District between January to August 2022. A total of 385 women entrepreneurs who were trained under government institutions were considered as the sample size. The primary data was collected directly from the field on basis of secondary information from Government Departments. The purposive sampling method has been deployed to identify the respondents for conducting the sample survey .
Kompetensi pedagogik merupakan kemampuan yang harus dimiliki guru dalam mengelola pembelajaran. Berkaitan dengan pengelolaan Pembelajaran Tematik fakta di sekolah menunjukkan banyak guru belum sepenuhnya mampu mengimplementasikan pembelajaran yang memiliki prinsip mengintegrasikan banyak materi. Untuk itu, penelitian ini bertujuan untuk mendeskripsikan kemampuan guru: 1) Memahami peserta didik dalam melaksanakan Pembelajaran Tematik di MI Miftahul Hidayah Tegalsari Tahun Pelajaran 2018/2019. 2) Merencanakan pembelajaran dalam melaksanakan Pembelajaran Tematik di MI Miftahul Hidayah Tegalsari Tahun Pelajaran 2018/2019. 3) Melaksanakan pembelajaran pada Pembelajaran Tematik di MI Miftahul Hidayah Tegalsari Tahun Pelajaran 2018/2019. 4) Mengevaluasi hasil belajar dalam melaksanakan Pembelajaran Tematik di MI Miftahul Hidayah Tegalsari Tahun Pelajaran 2018/2019. Hasil penelitian menunjukkan bahwa: 1) Kemampuan guru memahami peserta didik sudah sesuai indikator kompetensi pedagogik. 2) Kemampuan guru merencanakan pembelajaran sudah sesuai dengan indikator kompetensi pedagogik. 3) Kemampuan guru dalam melaksanakan pembelajaran ada satu indikator yang perlu diperbaiki. 4) Kemampuan dalam mengevaluasi hasil belajar sudah sesuai dengan indikator kompetensi pedagogik.
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.
Is open theological education reducing barriers and increasing access to theological training? Has the use of digital technologies in accessing theological training deviated from or complied with the training criteria? This paper highlights the seminarians’ borderless access to theological education and its benefits. Several persons frowned on open education a few years ago, but from March 2020, the COVID-19 pandemic has seen many institutions adopting elearning. Is it a wake-up call for theological education? The study discovered that theological education without barriers enhances theological training, research writing, scholarship, and academic honesty. The accreditation criteria for open theological learning does not alter contents but ensures that the greater populace can access a high standard of delivery of theological training equal to the on-campus programmes.
Fruits are indispensable in today’s world owing their tremendous health benefits. Cucumber and watermelon are commonly consumed fruits worldwide. In this study, antioxidant potential of crude methanol extract of different concentrations of cucumber and watermelon were screened for antioxidant activity using total phenolic content, ferric reducing power (FRAP), ferric thiocyanate (FTC) tests and free radical scavenging (DPPH) assay. They are good source of calcium, magnesium and copper with appreciable amounts of vitamin C (143.360 ± 101.400 mg/100 g) for cucumber and vitamin A (90.980 ± 22.860 mg/100g; 29.475 ± 0.575 mg/100 g) for both watermelon and cucumber respectively. It was found that polyphenolics compounds were maximum in watermelon (87.04 ± 0.55 mg/g GAE in concentration 100 mg/mL). The extracts showed a potent DPPH free radical scavenging activity; cucumber had maximum percentage inhibition at 20 µg/mL concentration (29.2%) compared to watermelon at 40 µg/mL concentration (13.5%). These fruits also exhibited fairly good antioxidant activity with in both FRAP (0.517 mg/100 g; 0.317 mg/100 g) and FTC (17.2%; 31%) methods for watermelon and cucumber respectively.
Colon is part of the digestive system in the human body responsible for absorbing water and nutrients from food residues. There are many problems affecting the colon including irritable bowel syndrome, constipation, hemorrhoids, anal fissures, abscess, colitis and colon cancer which considered one of the most common diseases among the Libyan community. The aim of this study was to search the presence of colonic disease and the tendency of those diseases to transform into colonic cancer at Benghazi medical center in Benghazi-Libya. A survey was comprised of 15 questions concerning colon diseases, proper diagnosis and treatment type. The survey was distributed to the physician specialized in medicine at Benghazi medical center and they fill it voluntary. The initial part of the questionnaire designed to obtain demographic data concerning the physicians who diagnose the colon illness. The rest part of the questionnaire was concerning special questions to define frequency of the diagnosed disease. There were 20 participants at this study. The response to all questionnaires were collected and analyzed for drug use, patients and disease distribution. In conclusion, this study demonstrates that the correct diagnosis, prescribing the appropriate treatment for the colon disease and using the medicine properly is one of the most important things that help in treating the disease and reducing its exacerbation. In some cases, eradication procedures may be required if the medicine is not sufficient to treat the disease without the need for operations
Mediterranean journal of pharmacy and pharmaceutical sciences
Biological information processing networks rely on allosteric protein switches that dynamically interconvert biological signals. Construction of their artificial analogues is a central goal of synthetic biology and bioengineering. Receptor domain insertion is one of the leading methods for constructing chimeric protein switches. Here we present an in vitro expression-based platform for the analysis of chimeric protein libraries for which traditional cell survival or cytometric high throughput assays are not applicable. We utilise this platform to screen a focused library of chimeras between PQQ-glucose dehydrogenase and calmodulin. Using this approach, we identified 50 chimeras (approximately 23% of the library) that were activated by calmodulin-binding peptides. We analysed performance parameters of the active chimeras and demonstrated that their dynamic range and response times are anticorrelated, pointing to the existence of an inherent thermodynamic trade-off. We show that the structure of the ligand peptide affects both the response and activation kinetics of the biosensors suggesting that the structure of a ligand:receptor complex can influence the chimera's activation pathway. In order to understand the extent of structural changes in the reporter protein induced by the receptor domains, we have analysed one of the chimeric molecules by CD spectroscopy and hydrogen-deuterium exchange mass spectrometry. We concluded that subtle ligand-induced changes in the receptor domain propagated into the GDH domain and affected residues important for substrate and cofactor binding. Finally, we used one of the identified chimeras to construct a two-component rapamycin biosensor and demonstrated that core switch optimisation translated into improved biosensor performance.
Solar Energy is the prime important source of energy, and it has continued to gain popularity globally. As of 2018, about 486 GW of solar PV was installed worldwide. One of the key requirements for socio-economic improvement in any nation of the world is the provision of dependable electricity supply systems. Recently, there is a massive growth in access to solar electricity in several Africa countries, notably South Africa, Egypt, Morocco, and Algeria. As a result, it decreases the global population without access to electricity with an appreciable value. This paper review the present state of solar energy capacity in the world also identifies vital approaches of improving their functionality, reliability, and affordability as well as the essential method that policymakers may implement in the future. The result shows that there is a recurrent growth in solar energy annually and as at the end of 2018 Asia with the largest capacity of 56.58%, while Central America and the Caribbean have the lowest installed capacity of 0.36%. As the request for an uninterrupted supply increases in different regions, progressive builders are embracing solar photovoltaics (PV) renewable energy as an option for their customers.
A zoonotic disease is an infectious disease caused by pathogens such as bacteria, virus, rickettsia, fungi, parasite or prion that has been transmitted from an animal, especially a vertebrate to human beings. Usually, the first infected human transmits the infectious agent to other humans very rapidly; it is one of the important concerns of zoonoses. The World Health Organization (WHO) currently list the Emerging infectious diseases (EID) of epidemic issues in their research and development blueprint as COVID-19 (Corona viruses), Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), Ebola and Marburg viruses (Filovirus), Crimean Congo haemorrhagic fever (Nairo virus), Lassa Fever (Lassa virus), Nipah (Henipa virus ), Rift Valley fever (Phlebo virus) and Zika (Flavi virus). Due to the deadly pandemics facing by the globe, it is essential to understand the way of transmission of emerging viruses, its mode of infection and important measures to eliminate or control them from the world is essential. However, mankind overcomes so many deadly viruses with the help of scientific knowledge, through vaccination, new therapies, drugs etc. Nowadays, viral zoonoses like rabies (Lyssa virus) are 100% preventable through vaccination and medication even though, humans face lots of new threats especially emerging zoonosis diseases like Covid19. This review summarized the major zoonotic viruses affecting human beings, their source, pathogenicity and its important ways to overcome the transmission of microbes from animal to humankind.
Department Of Orthopedics, University Faculty Of Medicine
Dr Vishwanath Karad Mit World Peace University
Department Of Mathematics, National University Of Skills (nus), Tehran, Iran.
Police Academy, Egypt