bluuebunny/crossref_metadata_2025 huggingface dataset:
Importance of meteorological conditions to the prediction of surface PM2.5 using satellite-based observations in Sichuan basin, southwest China
Authors: Yang Kai
Published: July 2023

Air pollutants are of great global concern due to their effects on peoples health. Consequently, timely predictions of surface PM2.5/PM10 can help implement preventive interventions. Machine learning algorithms are commonly used to predict or retrieve PM2.5/PM10 concentrations based on satellite-derived observations. But these algorithms often ignore the interpretability of PM2.5/PM10 predictions and generally improve their performance by adding meteorological conditions derived from numerical weather predictions (NWP) reanalysis data. This paper explores the predictive ability of different meteorological conditions, such as wind speed, wind direction, temperature, and humidity derived from NWP data at different pressure levels, and their ability to improve the PM2.5 retrieval accuracy of a random forest model in comparison with using only satellite data. Adding meteorological conditions to satellite data raised the coefficient of determination (R2) from 0.533 to 0.722 (with data at 500hPa) and 0.752 (with data at both 500hPa and 975hPa), indicating that meteorological conditions could improve PM2.5 model predictions compared with experiments using only satellite observations. In the experiment where meteorological conditions were added to satellite observations, performance of PM2.5 retrieval improved. Other experiments have shown that the performance is better when meteorological conditions are used alone compared with the case when satellite observations are used alone. In addition, feature importance of these experiments has revealed that meteorological parameters are relatively higher, and there lies a gap between satellite observations and meteorological parameters. In the experiment using both satellite observations and meteorological data, the feature with the highest importance is the temperature (0.12 for those at 975hPa and 0.12 for those at 500hPa), while those of satellite observations are less than 0.04. And the R^(2 ) using only the meteorological condition (both 500hPa and 975hPa) decreased only by 0.012 compared with the experiment using all data, while RMSE and MAE increased by 0.34, 0.207, respectively. The last experiment reduced input features to 9 parameters based on feature importance, but its R2 decreased by only 0.026. It seems evident that meteorological conditions (such as temperature, humidity and wind) are crucial to surface PM2.5 retrieval, even when satellite observations are available in RF based PM2.5 retrieval.
Multivariate polynomial regression prediction of primary productivity on U.S. coastal areas
Authors: Zeng Yabei
Published: July 2023

This paper analyzes the factors influencing the primary productivity of U.S. coastal areas in 2010. Understanding primary productivity is crucial to our understanding of the ecosystem and the biodiversity it supports. In this analysis, five parameters were taken into consideration, including longitude, latitude, total nitrogen, total phosphorus, and ammonia. Incorporating data from the Nation Coastal Condition Assessment (NCCA), this study mainly focused on the two models, multivariate polynomial regression and random forest, and general performance on the prediction accuracy. Comparing the results of the two models, the multivariate polynomial model does perform slightly better than that of the random forest model. Both of the two models yield good prediction models that can be further applied to the prediction of primary productivity rate for the ecology prediction and biodiversity prediction.
Application and possibility of machine learning in integrated circuit design
Authors: Qiu Tian
Published: July 2023

Artificial Intelligence has had an impact on the field of integrated circuits. Artificial Intelligence technology is gradually replacing the traditional methodology of implementing Integrated Circuit tasks, which consumes a lot of time, funding, and labor. Traditionally, electronic products, like chips, which consist of a large number of circuits, were very slow and costly to process, because it was done by humans. The engineers have to design the layout, carry out operations, verify, and test the circuits, and this is actually extremely inefficient and expensive. However, with the help of Artificial Intelligence technology, efficiency can be greatly improved. The algorithms of Artificial Intelligence to a large extent, accelerated the process of designing, detecting, and maintaining the Integrated Circuit. Nowadays, many companies are applying Artificial Intelligence to upgrade their own products. Machine Learning is one of the main branches of Artificial Intelligence, and its powerfulness has provided a lot of help in the Integrated Circuit tasks. This paper discussed and analyzed the application and possibility of machine learning specifically in Integrated Circuit design activities through literature review and data research.
Diagnosability verification of discrete event systems
Authors: Cui Jingyu , Xia Yuze
Published: July 2023

Fault diagnosis is one of the key topics in the study of computer program operation and automatic control of large complex systems these days. It can be used in wide-spanning areas. As early as the last century, researchers started to study diagnosis structures and made a series of progress. Moreover, the problem of diagnosability verification of a system received much attention from many researchers. Therefore, in this paper, a discrete event system (DES) is proposed and a diagnoser is constructed as an automaton model to verify the diagnosability of a given system. A method is proposed to test if a given system is diagnosable under the discrete event system structure. The states of a system are classified into three categories, and a diagnoser structure with basic algorithms and functions is defined to verify diagnosability. The proposed diagnoser structure can better capture the behavior of the system and verify its diagnosability.
Statistical species distribution and their respective development
Authors: Liu Yinjie
Published: July 2023

A distribution is a set of information on a variable. When these data are normally grouped in size order from least to largest, they may then be visually represented. In fact, it is fairly simple to comprehend statistical distributions in terms of functional relationships. Simply put, a data variable is thought of as being coupled with another data variable or several data variables into specific functional relationships, the majority of which can be reflected in the coordinate axes. Once the distribution function has been built, it may be swiftly used to define and compute significant variables, such as an observation's probability, as well as to show the relationships between observations in the domain. The distribution of statistics is very broad, it goes deep into various fields of study, with different specialties and models combined. The process of discovering them is also different, and again, different distributions apply to different scenarios. When faced with different mathematical models, Mathematicians should choose the most suitable distribution method to calculate the probability density function, cumulative distribution function, and calculate the probability and expected value, so as to correctly understand the model. The following article will focus on different definitions of statistical distributions and their origins.
A post-training quantization method applied to the game-environment-based Dueling-DQN model
Authors: Yang Chenghao
Published: July 2023

Reinforcement learning is a common method that focuses on the best behaviors that agents can get the highest rewards for in one particular environment. It was recently combined with deep learning to improve information perception. However, the traditional deep reinforcement model DQN is considered to be as computationally intensive as its layer deplumation. As a result, this paper proposes to include a post-training quantization method in an improved version of DQN to see if it is worthwhile to include. After some experiments, the outputs exactly prove that post-training quantization can deduce the computation with a tiny precision loss.
Current state and future development of artificial intelligence in marketing
Authors: Mao Yuze
Published: July 2023

Artificial intelligence (AI) has emerged as a trend in various industries. In the marketing field, artificial intelligence has been the main driver of its growth and an important tool for companies, organisations, and marketing specialists. However, there is a gap between the existing AI research and the actual application of the technologies in marketing. To bridge the gap, this study focuses on the current state of research on artificial intelligence in marketing and AI technologies used in marketing. Research articles on this topic are searched from the ScienceDirect database and the IEEE Xplore database and the non-empirical studies are filtered out by selection criteria. Then the selected articles are analysed using the method of bibliometrics and content analysis. This study describes the landscape of research in artificial intelligence in marketing, summarises AI technologies applied in the marketing field, provides advice on applying AI applications to marketing for marketing specialists, and presents future research directions for AI specialists. Results show that the application of AI in marketing will increase fast in the coming years. In particular, companies and organisations may greatly benefit from the use of AI technology in marketing to increase sales, cut costs, improve firm productivity, boost innovation, and achieve organisational goals.
Research of the occluded face recognition methods
Authors: Cong Yunhao , Miao Shiqian , Zhang Chaorong
Published: July 2023

In face recognition, deep learning has always been a technology and problem that people need to improve. With the development of time, deep learning has the characteristics of self-learning ability, strong expression ability and better stability, and it is an effective solution to face recognition. However, in the sheltered environment, deep learning still faces many challenges. Different methods are used to expand the new deep learning methods, which can effectively solve the face recognition features in occlusion environment. This paper compares and classifies the related algorithms of deep learning and the traditional algorithms of deep learning. In particular, the network structure and construction principle of some classical algorithms are reviewed. Finally, discusses and summarizes their future development trends and directions. This study has certain reference significance for related scholars.
Studies advanced in chatbots based on deep learning
Authors: Li Lixin
Published: July 2023

Chatbots have always been a hot research topic in the field of human-computer interaction research, which aims to build a conversational intelligent response model to simulate human dialogue. Thanks to the rapid development of natural language processing technology and the continuous accumulation of dialogue data, the research of chat robots have made remarkable progress, which has gradually been widely used in various fields such as e-commerce and smart home. According to different technical frameworks, existing chatbots are mainly divided into two types: retrieval chatbots and generative chatbots. As the primary means of implementing chatbots in the industry, retrieval chatbots have smooth responses and low computational resource consumption. In contrast, generative chatbots do not require a predefined knowledge base and can dynamically generate responses based on the dialogue content. In this paper, focusing on the above two types of frameworks, we introduce the latest research progress in the field of deep learning-based chatbots in detail, including the representative algorithms and corresponding pipelines. Second, we compare the performance of representative algorithms on different datasets. We also summarize the problems chatbot technology research faces and give an outlook on its future development trends.
The transaction price prediction of second-hand cars based on model fusion
Authors: Huang Zhiqiu
Published: July 2023

With the gradual improvement of the second-hand car trading market, buyers and sellers are increasingly demanding a more orderly market, and price forecasting plays an important role in regulating the market order. On one hand, buyers hope to buy second-hand cars with better quality at a lower price. On the other hand, the seller wants to know what the buyer's demand is, so as to better sell second-hand cars in the market. Therefore, the reasonable prediction of price plays an important role in regulating the buying and selling market. At present, some machine learning models, such as neural networks, tree models are very mature in regression prediction technology. By using the above algorithm for modeling, the model can play the function of reasonably predicting prices, so as to meet the needs of both buyers and sellers. Therefore, in this paper, the author predicts the second-hand car transaction price through modeling around some machine learning algorithms, and analyses the performance of the model.
Performance comparison of representative chatbots based on deep learning
Authors: Song Chuqi
Published: July 2023

Chatbots have always been a hot topic in the field of natural language processing, which aims to train models to understand input content and give cognitively logical answers. With the continuous development of artificial intelligence technology, the performance of chat robots has continuously made breakthroughs, and has been widely used in many fields such as smart home, e-commerce, and automatic consultation. In this article, we introduce the basic techniques and methods of deep learning-based chatbots, including recurrent neural network (RNN), long short-term memory (LSTM), Seq2Seq model, attention mechanism, etc. We also review a chatbot designed using RNN and quality testing result. We finally summarize the existing research issues of the chatbot and discuss its possible future works.
Performance analysis and comparison of representative chatbots based on deep learning
Authors: Wang Runpu
Published: July 2023

In today's society, chat robots have entered people's vision. They can mainly carry out corresponding human-computer interaction, and are also research hotspots in the field of science and technology. Chat robots can build models to understand the input content, and then output relatively natural answers. In recent years, their birth has also produced a certain range of applications. However, the most representative chat robots are mainly based on retrieval and generation. Their patterns are different, so their behavior is also different. At the same time, in order to enable users to choose better chat robots, this paper compares the performance of retrieval chat robots based on SMN model, retrieval chat robots based on DAM model and seq2seq generation chat robots respectively. Their performance was analyzed and evaluated, mainly from the appropriateness and diversity of their responses and the difficulty of the training model.
Application and development of artificial intelligence based on computer science
Authors: Jia Yuchen
Published: July 2023

Artificial intelligence (AI) technology has become widely utilized in all spheres of life due to the quick growth of information technology. AI operations are added to computer technologies such as information and network technology so that computers may think like humans do, ultimately taking computers to a level above humans. This study undertakes a thorough examination of the classification, development, application, and trend of computer AI technology. It can be concluded that computer AI technology has great application potential in the field of automatic driving, medical diagnosis, scientific research, and problem solving. Besides, the improvement of smart chip, the optimization of facial recognition, and the combination with the Internet can be some of the trends for the future development of computer AI technology.
Detecting homophobic and transphobic texts from youtube comments using machine learning models
Authors: Subramanian Malliga , Sathishkumar Veerappampalayam Easwaramoorty , Shanmugavadivel Kogilavani , Deva P , Haris S , Cho Jaehyuk
Published: July 2023

Today's world has witnessed an exponential rise in disseminating degrading and offensive content via social media. A global increase in violence against minorities, such as gun violence, murders, and forced displacement, has been connected to using harsh and derogatory language online. The policies enacted to prevent abusive or derogatory language risk stifling free speech and are applied differently. These languages can affect the mental state of social media users. Homophobic and transphobic expressions are a insulting people's sexuality or character among harsh and disrespectful remarks. To study social media information and discriminate between homophobic and transphobic comments, it is necessary to construct language-based automatic categorization methods. This dataset consists of Tamil YouTube comments collected as part of the Shared Task on Sentiment Analysis and Homophobia detection of YouTube comments in Code-Mixed Dravidian Languages. This study detects and categorises abusive comments using machine learning models such as SVM, Naive Bayes, Logistic regression, and KNN. In comparison to other classifiers, the accuracy of logistic regression is the highest, at 55%.
Sentimental analysis using machine learning in Twitter dataset
Authors: Vanitha C. N. , Malathy S. , Krishna S. A. , Vanitha M. , E. Sathishkumar V
Published: July 2023

The analysis of sentiment is also known as opinion mining. Observation of sentiment is used for detecting different emotions of people through the feedback given by them. It is done to know whether the customer is satisfied by the organizations product, service and so on. Nowadays rating the product or service becomes very essential and important in everyones life. These are nothing without rating the sentiments of the customer. It is absolutely essential to collect the sentimental data since it helps in improving the product or its service, to satisfy the customer and to increase the sale. In this fast-changing world, Twitter is one of the most used and biggest sensation creating apps. Twitter is mostly used for delivering thoughts of people. This process is known as sentimental delivery. This research analysis is done with the help of views, likes, comments and shares of a particular tweet. The output of this analysis might be positive, negative or neutral. Machine learning is an algorithm or a method in which the task is conducted by an AI system. In this output value is predicted from the given input data.
Rhizosphere: An Ideal Site for PGPR Screening
Authors: Ahmed Ambreen , Tariq Aqsa
Published: July 2023

Rhizosphere is the thin layer of soil surrounding plant roots and play important role in plant-bacterial interactions. This rhizospheric region around plant roots is an area rich in plant growth promoting bacteria. These plant-associated bacteria usually promote plant growth through various direct or indirect mechanisms including phosphorous solubilization, phytohormone production, nitrogen fixation, iron sequestration via siderophores and production of extracellular polymeric substances etc. PGPR modify root system of plants by the production of various phytohormones which facilitate the uptake of nutrients from soil more efficiently resulting in enhanced plant growth. Objective: To study the growth conditions of bacterial isolates. Methods:  In the current study, rhizobacterial isolates have been isolated from indigenous environment and characterized macroscopically, microscopically, and biochemically. These isolates have been biochemically identified using Bergey’s Manual of systematic bacteriology and using ABIS 7 online software and evaluated for their various growth promoting attributes. Results: AS2 was identified as Bacillus sp., while AS3 and AS4 were identified as Pseudomonas sp. All three strains exhibited auxin production, nitrogen fixation, and HCN production capabilities. However, AS4 lacked ammonification and zinc solubilization potential, and AS3 lacked ACC deaminase activity. Conclusions: It is concluded that these bacterial isolates have ability to promote plant growth. These bacterial isolates can be further used for plant stimulating agents for sustainable agriculture practices.
Knowledge and Attitude Towards Cervical Cancer and its Screening among Women Attending the Gynecology Out Patient Department
Authors: Siddiqa Ayesha , Iqbal Saba , Hameed Wajiha , Saba Ambreen , Khalid Uzma , Younas Naila , Bashir Fouzia , Aslam Hina , Karam Din Saima
Published: July 2023

A kind of cervix cancer called cervical cancer arises when the cells in the cervix divide too rapidly. The costs of cervical cancer are considerable for the woman, her family, and society as a whole. Women's attitudes and understanding on cervical cancer screening are the subject of this study. Objective: To determine the Knowledge and attitude towards cervical cancer and its screening among women attending the Gynecology Out Patient Department and to evaluate the factors associated with knowledge and attitude towards cervical cancer and its screening. Methods: This study was carried out using a cross-sectional design. 15 women visiting the Gynaecology OPD were recruited through convenient sampling technique. A structured questionnaire encompassing socio-demographic characteristics, knowledge, and attitudes was utilized to collect data, which was then analyzed using SPSS version-24. Results: According to the study's findings, 65 (43%) of the 122 participants were between the ages of 31 and 40, and 94 (74.7%) were housewives. About 106 (70.7%) of respondents had low understanding of cervical cancer screening, whereas 44 (29.3%) had strong knowledge. The results suggest that respondents' knowledge of cervical cancer screening was significantly related to their education, marital status, occupation, and place of residence. The respondents' attitudes regarding cervical cancer screening were also significantly related to their education, occupation, and place of residence. Conclusions: The study revealed that women visiting the Gynaecology department have insufficient knowledge and attitudes about cervical cancer and screening.  There is a need to enhance women's understanding and attitudes towards cervical cancer screening in order to detect and treat the illness early.
Impact of Vigorous Exercise on Blood Serum Creatinine Concentration Among Students Athletes
Authors: Ullah Moheb , Khan Alamgir , Jamil Muhammad , Iqbal Butt Muhammad Zafar , Ullah Imran , Zubair Muhammad , Saheem Salman , Nasir Hamza
Published: July 2023

Creatinine is a chemical compound left over from energy-producing processes in your Healthy kidneys that filter creatinine out of the blood. Creatinine exits your body as a waste product in urine. Objective: To examine the impact of vigorous-intensity exercises on serum creatinine concentration among student athletes. Methods: Participants were categorized as the control group (CG=n-15) and the experimental group (EG=n-15). Eight-week self-made vigorous intensity exercise protocol was applied on EG. 5 ml blood was collected from each subject, and similarly, serum creatinine concentration was assessed through a serum creatinine test in a biochemistry laboratory. The results (pre and post-test) were statistically tested by independent t-test, mean, and paired sample t-test as statistical tools. Results: A statistically significant difference was found in the Creatinine level between the pretest and posttest scores of EG (P < 0.05) after the treatment. No significant difference was observed in Creatinine level in CG's pretest and posttest scores (P > 0.05). Conclusions: The study shows a considerable difference in the pre and post-test of the subjects of CG and EG, and thus it is shown that vigorous exercise has a positive impact on kidney functions, particularly on creatinine
ACCOUNTING PROFESSION: USING SWOT ANALYSIS APPROACH IN 5.0 SOCIETY ERA
Authors: Sari Nuzullina Rahmadhani
Published: July 2023

The accounting profession has a very important role in various entities and sectors. This study aims to examine the existence of the accounting profession related to the presence of the 5.0 industrial revolution era. This research uses quantitative methods. The sample in this study were accountants who worked as accountant educators, public accountants and tax consultants in the city of Medan, totaling 150 people. As a result, it is known that the role of the accounting profession in the era of the industrial revolution 5.0 has been transformed into digital skills, applying new technology prototypes, learning by doing, international certification-based education, responsive to changes in industry, business and technology development, as well as curricula and learning based on digital skills. Accountant professional bodies need to encourage and facilitate continuous learning for accountants, for example through an online course or knowledge base that can be accessed widely and provides real-time and continuous updating of knowledge. This is necessary so that the accounting profession can continue to exist in an era of challenges. 5.0.
Çiçek, M. Talha. Negotiating Empire in the Middle East: Ottomans and Arab Nomads in the Modern Era, 1840-1914. Cambridge: Cambridge University Press, 2021. 280 Page. ISBN 9781316518083.
Authors: AMARA Ahmad
Published: July 2023

M. Talha Çiçek's Negotiating Empire in the Middle East discusses the changing relationships between the Ottoman imperial administration and the Shammar and the Anizah tribal confederations, in the regions of today’s Iraq, Syria, Arabia, and Jordan, between the Tanzimat Era and the WWI. The book is an essential addition filling several scholarly gaps in the writing of the Ottoman Middle East's social history, the history of the Tanzimat Reforms across the Empire, and that of the Arab Tribal communities, commonly known today as the Bedouin communities.
О решении одного гиперсингулярного интегрального уравнения, встречающегося в механике трещин
Authors: Акопян В. В. , Гаспарян А. В. , Саакян А. В.
Published: July 2023

Рассматриваются граничные задачи механики трещин и теории стационар- ной теплопроводности, сводящиеся к интегральному уравнению с гиперсингулярным ядром Коши. Определяющее гиперсингулярное интегральное уравнение допускает замкнутое решение в интегральной форме, которое при обратной постановке задачи может быть интерпретировано как интегральное уравнение Фред- гольма первого рода с симметричным логарифмическим ядром. Эти уравнения решены также численно-аналитическим методом механических квадратур, основанным на квадратурных формулах типа Гаусса для гиперсингулярного интеграла и представленной в работе квадратурной формуле для интеграла с симметричным логарифмическим ядром. Проведен сравнительный численный анализ решений, полученных при помощи различных квадратурных формул, с замкнутым решением.
Դիտարկվում են ճաքերի մեխանիկայի և ստացիոնար ջերմահաղորդակա- նության տեսության եզրային խնդիրներ, որոնք հանգում են Կոշու հիպերսինգուլյար կորիզով ինտեգրալ հավասարման: Որոշիչ հիպերսինգուլյար ինտեգրալ հավա- սարումը թույլատրում է ինտեգրալի տեսքով փակ լուծում, որը խնդրի հակադարձ դրվածքի դեպքում կարելի է մեկնաբանել որպես սիմետրիկ լոգարիթմական կորիզով Ֆրեդհոլմի առաջին սեռի ինտեգրալ հավասարում: Այդ հավասարումները լուծված են նաև մեխանիկական քառակուսացման թվային-անալիտիկ եղանակով, որը հիմնված է հիպերսինգուլյար ինտեգրալի համար Գաուսի տիպի քառակուսացման բանաձևերի, ինչպես նաև լոգարիթմական սիմետրիկ կորիզով ինտեգրալի համար աշխատանքում ներկայացված քառակուսացման բանաձևի վրա: Կատարվել է տարբեր քառակուսաց- ման բանաձևերի միջոցով ստացված լուծումների և փակ լուծման համեմատական թվային վերլուծություն:
The paper considers boundary value problems in fracture mechanics and in the theory of steady-state thermal conductivity. The problems reduce to an integral equation with a hyper-singular Cauchy kernel. The governing hyper-singular integral equation permits closed-form solution of an integral form, which, under the inverse problem formulation, can be interpreted as a Fredholm integral equation of the first kind with a symmetrical logarithmic kernel. These equations are also solved by the numerical analytical method of mechanical quadratures based on Gauss type quadrature formulae for hyper-singular integral and on the introduced in the paper quadrature formula for the integral with a symmetrical logarithmic kernel. By numerical analysis, the solutions obtained by various quadrature formulae are compared with the closed-form solution.
Определяющие уравнения деформирования упругого слоя во взаимодействии с концентраторами напряжений при осесимметричном кручении
Authors: Канецян Е. Г. , Мкртчян М. С.
Published: July 2023

При помощи интегрального преобразования Ханкеля выводятся определяющие интегральные и другие уравнения задач o напряженно-деформированном состоянии кусочно-однородного упругого слоя с концентраторами напряжений типа тонкостенного включения или трещины круговой формы при осесимметричном кручении. При этом, в частности, рассматривается аналог известной задачи Гриффитса, когда упругое однородное изотропное пространство с круговой трещиной на бесконечности скручивается равномерно распределенными касательными силами. Рассматривается также аналог известной модели Мелана для стрингера в случае осесимметричного кручения тонкого упругого слоя.
Հանկելի ինտեգրալ ձևափոխության օգնությամբ արտածվում են շրջանաձև բարակապատ ներդրակի կամ շրջանաձև ճաքի տիպի լարումների կենտրոնացուցիչներ պարունակող կտոր առ կտոր համասեռ առաձգական շերտի դեֆորմացիայի որոշիչ ինտեգրալ և մյուս հավասարումները՝ առանցքահամաչափ ոլորման ժամանակ։ Մասնավորապես, դիտարկվում է Գրիֆիտսի հայտնի խնդրի անալոգը, երբ շրջանային ճաքով գծային համասեռ իզոտրոպ առաձգական տարածությունը անվերջում ոլորվում է հավասարաչափ բաշխված շոշափող ուժերով։ Դիտարկվում է նաև ստրինգերի համար Մելանի հայտնի մոդելի անալոգը՝ բարակապատ առաձգական շերտի առանցքահամաչափ ոլորման դեպքում։ Արտածվում է, այդ մոդելի շրջանակներում, առաձգական բարակապատ շերտի դեֆորմացիայի որոշիչ դիֆերենցիալ հավասարումները։
Using Hankel’s Integral transformation, the governing integral and other equations of the problems of the stress-strain state of a piecewise homogeneous elastic layer with stress concentrators such as a thin-walled inclusion or a circular crack under axisymmetric torsion are derived. In particular, an analog of the well-known Griffith problem is considered when an elastic homogeneous isotropic space with a circular crack is twisted at infinity by uniformly distributed tangential forces. In addition, an analog of the well-known Melan model for a stringer is considered for a thin elastic layer under axisymmetric torsion.
Հարավային Կովկասում պղնձե դարի կենդանական բազմազանության, անասնապահության և կենսապահովման առանձնահատկությունները
Authors: Մկրտչյան Ս․ Լ. , Անտոնոսյան Մ․ Ա. , Եպիսկոպոսյան Լ․ Մ.
Published: July 2023

Южный Кавказ (территория между Большим Кавказским хребтом и рекой Аракс) с географической точки зрения является связующим звеном между двумя крупными природными и культурными образованиями – Евразийской степью и Ближним Востоком. Ранние земледельческие поселения появились здесь в эпоху энеолита, с VI тыс. до н. э. Население в указанный период в основном специализировалось в разведении овец, коз и крупного рогатого скота. Региональные особенности использования животных ресурсов могут быть связаны с различными эколого-климатическими условиями каждой местности, под воздействием которых сообщества адаптировались к конкретным экологическим нишам посредством специфических форм жизнеобеспечения и производства. В статье представлен обзор данных, полученных из доступных публикаций о фаунистических останках, а также выявлены пробелы, которые могут быть восполнены в ходе дальнейших зооархеологических исследований на Южном Кавказе.
The South Caucasus, which spans the region between the Great Caucasus range and the Araxes River, connects two significant natural and cultural regions: the Near East and the Eurasian steppes. The early farming settlements appeared in the area in the Chalcolithic period beginning in the 6th millennium BC. The Chalcolithic populations mostly specialized in domestic sheep, goat, and cattle herding. The geographical differences in the use of animal resources may be related to the unique environmental and climatic features of each region, which have helped societies adapt to distinct biological niches through specialized subsistence and production patterns. Here, we overview the evidence drawn from available studies of faunal remains and identify the gaps, which should be filled in further zooarchaeological studies in the South Caucasus.
Flexibility and Personalization of Learning in the Senior High Open High School Program: Basis for Enhanced Alternative Delivery Mode of Teaching and Learning
Authors: Mirasol Ken , Noli P. Acosta , Nicolas Analou
Published: July 2023

The Open High School Program is an alternative approach to providing secondary education available to learners. This program places significant importance on promoting independent learning, self-paced study, and flexibility to cater to individuals who face challenges that prevent them from starting or completing their secondary education. This study examined the flexibility and personalization of learning of senior high school learners enrolled in OHSP. The study utilized a descriptive-correlational design using a validated survey questionnaire with seventy-five senior high OHSP learners. Descriptive statistics using frequency, percentage, weighted mean, and rank were used to analyze the data. On the other hand, inferential statistics using t-test and ANOVA were used to determine the significant relationship between the demographic profile and the flexibility and personalization of learning of the respondents. Results revealed that OHSP provided senior high learners with a learning experience that is flexible and personalized. The comparison between the learners’ demographic profile and the flexibility and personalization of learning was revealed to be not significant. It is recommended that the OHSP must be enhanced further to provide a more flexible and personalized learning environment enabling learners to tailor their learning experience according to their individual needs, interests, and preferences.
Effectiveness of Aloe Vera gel application on the treatment of intravenous phlebitis among patients receiving intravenous therapy at tertiary hospitals of Gangtok, Sikkim
Authors: Gurung Pranita , Ashalata Devi Wangkheimayum , Gurung Sandhya
Published: July 2023

Introduction: Intravenous infusion is the organization of liquid or medicine intravenously in intense conditions for impact. Phlebitis is one of the foremost common complications of intravenous treatment. Around 80% of hospitalized patients are given intravenous infusion therapy at a point admit their remain in a advanced medical facility. Aloe Vera may be a best known plant utilized for treating skin wounds, but it has few other uses that could potentially benefit health. Objective: To evaluate the effectiveness of Aloe Vera gel application among patients with IV phlebitis. Methods: Quasi Experimental study was conducted among 60 hospitalized patients who developed intravenous phlebitis. Purposive sampling technique was used and randomly assigned to the experimental and control groups that met the inclusion criteria. On the first day, a VIP score was used to determine the degree of phlebitis, and then the Aloe Vera gel was applied twice a day for three days in the experimental group and once a day in the control group. On the fourth day, both groups received post-test evaluations using the same scale. Results: The mean post test IV phlebitis score (3.07± 2.477) which was less than the mean pre-test score (9.40 ± 2.673) with a mean difference of 6.33 & t value ( t=8.250 at df = 29) was statistically significant at the p< 0.05 level in the experimental group. In the experimental group, a significant association was found between educational qualification and previous history of any chronic illness in patients with a pre-test level of IV phlebitis (p 0.05). Conclusion: It is concluded that Aloe Vera gel was effective in the treatment of intravenous phlebitis among patients receiving intravenous therapy and can be recommended for use in grade I and II phlebitis.
FROM CRISIS ONSET TO DE-ESCALATION: EXAMINING ROLE OF CRISIS MANAGEMENT IN THE PULWAMA CRISIS
Authors: Khurshid Ms. Tayyaba
Published: July 2023

The enduring rivalry between India and Pakistan has been manifold due to the trust deficit, threat perception, and non-resolving nature of their disputes. The hostile nature of the two neighbours demands a deep understanding of their relationship, and focus isrequired on how a particular crisis management approach has helped them manage their conflict and avoid war during the Pulwama crisis. The paper applies Michael Brecher's four-stage model to explain the Pulwama crisis and describe how the situation between India and Pakistan has shifted from a perception of nuclear war to de-escalation after the attack. Crisis management helped the two states to retaliate back from their position and avoid the war-like scenario anticipated at that time. The various dimensions and underpinnings of crisis management entail that the synthesis of traditional and modern concepts of crisis management will better explain the theoretical contours of crisis management.

 

 

Bibliography Entry

Khurshid, Tayyaba (2023) “From Crisis Onset to De-Escalation: Examining Role of Crisis Management in the Pulwama Crisis” NDU Journal. 37: 25-33.
INDIA'S CYBER WARFARE CAPABILITIES: REPERCUSSIONS FOR PAKISTAN'S NATIONAL SECURITY
Authors: Ashraf Ms. Nageen , Kayani Dr. Saima Ashraf
Published: July 2023

Cyber warfare refers to a state's ability to penetrate another state's digital systems to cause disruption. Cyber warfare has emerged as the fifth operational warfighting domain. India has been strengthening its cyber warfare capabilities for a long time, which can seriously affect Pakistan. Considering the theoretical constructs of Barry Buzan and Ole Waever regarding the broader concept of security, this paper aims to highlight the possible threats and security challenges that India's cyberspace can pose to Pakistan's national security. The paper argues that India has acquired a robust cyberspace that can potentially cause financial damage, political instability, societal unrest, and radicalisation in Pakistan's society. Furthermore, strong cyberspace can also challenge nuclear deterrence between the two neighbours, thus threatening military security. The paper concludes with recommendations regarding what Pakistan can do to mitigate this growing cyber threat.

 

 

Bibliography Entry

Ashraf, Nageen and Dr. Saima Ashraf Kayani (2023) “India's Cyber Warfare Capabilities: Repercussions for Pakistan's National Security” NDU Journal. 37: 34-45.
INDIA-US STRATEGIC CONVERGENCE: IMPLICATIONS FOR STRATEGIC BALANCE IN SOUTH ASIA
Authors: Khan Mr. Muhammad Ahmad
Published: July 2023

South Asia is the victim of regional politics between Pakistan and India, making it the least integrated region globally. The jostling between the two nuclear competitors negatively impacts the region's peace, security and development. Major Powers have exploited these fault lines to achieve their strategic objectives. India considers itself a significant regional power, and the US encourages it to be a net security provider in the region. India perceives Pakistan and China as obstacles in its hegemonic ambitions. It has moved closer to the US in its strategic initiatives, resulting in multiple socioeconomic, political and strategic implications for the strategic balance in South Asia, particularly for Pakistan. India is trying to push the region's strategic balance in its favour. It brings significant challenges for Pakistan and opportunities to counter them. This research paper aims to analyse the implications of the India-US strategic partnership on the strategic situation in South Asia, especially Pakistan. It explores the out-of-box way forward that Pakistan may adopt to create opportunities for itself.

 

 

Bibliography Entry

Khan, Muhammad Ahmad (2023) “India-US Strategic Convergence: Implications for Strategic Balance in South Asia” NDU Journal. 37: 46-58.
LATEX VISCOELASTICITY: A RECENT LITERATURE REVIEW THAT ADDRESSES THE MOST USED TREATMENT METHODS
Authors: Garcia Deolinda Lucianne Ferreira , Coelho Ane Micheele Rodrigues , Bacelar Larissa Vitória Barbosa , Dantas Carlos Eduardo Moreira , Gonçalves Cláudio , Mourão Andreza Bastos
Published: July 2023

A borracha é um importante material que por desconhecimento de suas propriedades passou muito tempo sem nenhuma utilidade relevante. Após apresentar suas propriedades físicas e mecânicas, passou a estar presente na composição de muitos produtos industriais, principalmente devido a sua capacidade de se recuperar de deformações. Entretanto, entender o comportamento viscoelástico nas mais variadas aplicações e meios é extremamente necessário para melhor aplicação deste produto. Portanto, este trabalho visa discutir a viscoelasticidade do látex por meio de um estudo de artigos encontrados na literatura, buscando entender a relação das variáveis encontradas com os produtos estudados. As publicações foram selecionadas a partir de uma busca nas bases de dados (Revistas CAPES, Scielo e Google Acadêmico) no período de 2017 a 2021. Os resultados culminaram em treze artigos relacionados à propriedade da viscoelasticidade da borracha e, após análise, foi possível verificar que os estudos investigaram o comportamento viscoelástico, destacando que o método de avaliação mais utilizado para obter a resposta viscoelástica foi o reômetro.
OS PRINCIPAIS ASPECTOS RELACIONADOS AO CONDROSSARCOMA DE BAIXO GRAU, VISANDO ALTA ACURÁCIA DIAGNÓSTICA
Authors: Pereira Matheus Amorim , Da Mota Junior Américo Alves , Gomes Aquino Santana , Vieira Rafael Valois , De Carvalho Thiago Augusto Cavalcante
Published: July 2023

Objetivo: Verificar por meio da literatura as principais características de condrossarcoma de baixo grau, a fim de discernir esse tumor das demais lesões condrais. Metodologia: Revisão integrativa da literatura realizada no mês de maio de 2023, a partir da pesquisa nas bases de dados da PUBMED e BVS, utilizando os descritores: “Chondrosarcoma Low Grade”, “Diagnostic Imaging” e “Radiology” cruzados pelo operador AND, encontrando 44 estudos. Foram incluídos artigos publicados no período de 2018 a 2023, na língua portuguesa e inglesa e excluídas teses, dissertações, cartas ao editor e textos incompletos, e selecionados 13 estudos para elaboração da presente revisão. Resultados: O condrossarcoma de baixo grau é agressivo no seu local de origem, possui um bom prognóstico e pertence ao grupo dos tumores malignos. Em relação à metástase, apesar de ser incomum nessa patologia, quando ocorre afeta principalmente os pulmões. Alguns estudos mostraram a baixa probabilidade de casos metastáticos serem desenvolvidos por meio do CS de grau 1. A distinção entre CS grau 1 e as demais lesões condrais é bastante complexa, principalmente em relação ao encondroma devido à semelhança histológica entre as duas patologias. É fundamental a assertividade desse diagnóstico para determinação do melhor tratamento, uma vez que essas doenças possuem condutas diferentes. A partir disso, os estudos avaliaram as lesões separadamente por meio de ressonância magnética (RM) e pela análise da textura (AT), a fim de diferenciar o tipo de alteração encontrada. Notou-se que os exames quando combinados entre si, proporcionam acurácia diagnóstica bastante significativa. Além disso, outros manuscritos tiveram como objetivo avaliar o resultado diagnóstico de tumores cartilaginosos em ossos longos, com respaldo na textura baseada em TC simples e em RM. A partir dos resultados, pode-se distinguir quais lesões eram provenientes de condrossarcoma de baixo grau e de alto grau. Por fim, também verificou-se a importância da sintomatologia de dor e da utilização da imagem ponderada em difusão (DWI), o que demonstrou não possuir relevância expressiva na distinção entre as lesões. Conclusão: A partir disso, torna-se evidente que o diagnóstico de condrossarcoma de baixo grau é difícil e precisa de melhores recursos para ser elaborado de maneira rápida e eficaz, a fim de distingui-lo das inúmeras lesões condrais, e assim conduzir o doente da maneira mais eficiente.
The Great Tzotzil Dictionary of Santo Domingo Zinacantan with Grammatical Analysis and Historical Commentary, Volume II: English-Tzotzil
Authors: Laughlin Robert M. , Haviland John B.
Published: July 2023

This dictionary of Tzotzil (Mayan) vocabulary from the town of Zinacantan, Chiapas, Mexico, was edited by the author over a period of nine years. The original manuscript, compiled by an anonymous Domimcan friar, probably at the close of the 16th century, disappeared during the Mexican Revolution but a manuscript copy of 351 pages survives. It was made around 1906 at the behest of the Bishop of Chiapas, Francisco Orozco y Jimenez. The approximately 11,000 Spanish-Tzotzil entnes have been translated into English. Following the format of The Great Tzotzil Dictionary of San Lorenzo Zinacantan. the colonial Tzotzil has been ordered by roots. The spelling has been corrected and modernized. Doubtful interpretations are stated and problems are brought to the reader's attention, with frequent reference to the existing colonial Tzeltal dictionaries. Ea.ch entry is analyzed grammatically according to a system devised by John B. Haviland. All entries are keyed to their original location in the manuscript copy. A second section provides an English-Tzotzil dictionary and index for the thesaurus that follows. To make the cultural contents of this dictionary more readily available to anthropologists and historians, the thesaurus groups the Tzotzil terms under 36 cultural categories such as world, movement, life cycle, emotions, agriculture, ailments, religion, etc. Of special interest is metaphoric speech, subdivided into 10 categories. A third section presents the Spanish-Tzotzil dictionary slightly abbreviated and with the spelling of both languages modernized. A facsimile of the manuscript copy is also offered. Preceding the dictionaries is a historical sketch that places the original in its colonial setting, compares it to other 16th and 17th century lexicographic efforts, and suggests a possible author. The lives of the five individuals responsible for the preservation of the manuscript copy are traced. John B. Haviland, drawing upon the contents of the manuscript, provides a detailed analysis of the grammatical changes that have occurred in Tzotzil over the past four centuries.
Pengkajian Resep Elektronik Rawat Jalan Di Rumah Sakit X Dari Aspek Administratif Pada Bulan Desember 2022
Authors: Hamdi Rasul , Adrianto Dimas
Published: July 2023

Seorang ahli farmasi wajib melakukan pengkajian terhadap resep yang diterimanya meliputi pengkajian administratif, farmasetis dan klinis untuk menjamin resep yang legal dan meminimalkan kesalahan pengobatan. Tujuan penelitian ini adalah untuk mendapatkan gambaran tentang penulisan resep elektronik oleh dokter terhadap Peraturan Menteri Kesehatan nomor 72 tahun 2016 dari aspek administratif di Rumah Sakit X pada bulan Desember tahun 2022. Penelitian ini termasuk non eksperimental bersifat deskriptif, yaitu hanya menggambarkan keadaan objek yang didasarkan  pada data resep elektronik rawat jalan saja. Penelitian ini dilakukan pada bulan Desember tahun 2022 di rumah sakit x. Dengan menghitung persentase kelengkapan administratif resep elektronik rawat jalan  hasil nya dapat di uraikan  sebagai berikut:  nama dokter 100%, SIP dokter 100%,  alamat praktek dokter 100%, paraf dokter 100%, nama pasien 100%, umur pasien 100%, berat badan 57%, jenis kelamin 67%,ruangan asal penulisan resep 76%. Kesimpulan dari gambaran kelengkapan resep elektronik rawat jalan rumah sakit x, dari 363 lembar resep 31 % lengkap dan 69 % tidak lengkap.