bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterisation of capsid polypeptide P1 and capsid protein VP1 of the Malaysia foot and mouth disease virus (FMDV) serotype O and A isolates
Authors: Abd-Halin Farah Najwa , Zakaria Zunita , Ismail Saila , Othman Sarah
Published: February 2023

Foot and mouth disease virus (FMDV) is the cause of foot and mouth disease (FMD) outbreaks in livestock worldwide, which affects domestic and international trade, resulting in significant economic losses and social consequences. For efficient monitoring and prevention of FMD outbreaks, the need for improved strategies to control FMDV and achieve FMD-free status with various control measures including vaccination can be established. In vaccinology, major advances and discoveries in vaccination variations including DNA and protein subunit vaccines proved to be more economical and sustainable. To develop a safe vaccine for animals, possible antigenic genes or antigens need to be identified and characterised. The FMDV is a single-stranded RNA virus consisting of a capsid precursor polypeptide, P1, which encodes for four structural proteins (VP4-1), leading to antigenic variation and VP1 potentially carrying the key epitope for vaccine development. This study aims to identify and characterise the capsid polypeptide, P1 and capsid protein, VP1 of the Malaysian FMDV serotype O and serotype A isolates. The nucleotide and protein sequences were identified based on the FMD outbreaks in Malaysia and the antigenicity of the P1 and VP1 was predicted by Kolaskar and Tongaonkar's semi-empirical method. Subsequently, the P1 and VP1 genes were inserted into pET-28a, respectively, and used for protein expression analysis. The P1 and VP1 were predicted to be antigenic via in silico analysis and successfully expressed and characterised through in vitro analysis. Hence, this study can be exploited as a tool to design a new novel vaccine for vaccine development against FMD in bovines.
¿Qué podemos conocer?
Authors: Caicedo Machacón Oscar David , Bermúdez Barrera Eduardo
Published: February 2023

Los debates sobre el conocimiento, la realidad y la verdad han estado en el centro de la discusión filosófica desde hace décadas. El advenimiento de la Teoría Evolucionista del Conocimiento le ha revestido, no solo de hipótesis interesantes sobre los procesos que subyacen a las capacidades cognitivas en la tarea de conocer el mundo, sino que ha traído consigo nuevos problemas.
En este artículo se intenta ofrecer una perspectiva naturalizada del problema del conocimiento, adentrándonos en los debates suscitados desde el realismo y los conceptos de verdad y error a la hora de determinar si el éxito biológico está íntimamente relacionado o no con ambos conceptos, no solo en la especie humana sino también en otras especies animales.
PENGAMATAN VEKTOR AEDES AEGYPTI INFEKTIF VIRUS DENGUE DI JAKARTA UTARA TAHUN 2022
Authors: Syakhroni Syakhroni , Dwi Sutuningsih  , Nurjazuli
Published: February 2023

Dengue Hemorrhagic Fever (DHF) is a public health problem that needs seriousattention, because this disease has high morbidity and mortality rates and has the potential to cause extraordinary events (KLB). Dengue Hemorrhagic Fever cases tend to increase from year to year and have the potential to cause Extraordinary Events, so that the Special Capital Region of Jakarta Province is an endemic area for Dengue Hemorrhagic Fever. Thepurpose of this literature review is to analyze the density of Aedes aegypti mosquitoes, to analyze infective Aedes aegypti mosquitoes, to increase efforts to control DHF vectors and to be aware of an increase in DHF cases.This study uses an observational method. The data source used comes from primarydata taken directly in residential areas, the selected location is the village with the highest IR number and the test sample is examined in the laboratory.Data owned by the DKI Jakarta Health Service, until the end of January 2021, thenumber of Dengue Fever sufferers reached 3,091 people. Meanwhile, in the same period last year, the number of dengue fever sufferers increased by 35%. The mosquito surveywas conducted in areas that have high cases of dengue fever in North Jakarta, namely Warakas Village, Tanjung Priok District. Of the 100 houses that had been visited and a search for adult mosquitoes was carried out, 69 houses were found. The number of Aedes aegypti mosquitoes caught was 17, consisting of 15 females and 2 males. Then a separate extraction process was carried out between female mosquitoes and male mosquitoes to determine whether or not the dengue virus was present. After obtaining the extraction, the samples were then subjected to PCR testing.The results of testing samples of male and female mosquitoes using the PCR methodin the Warakas Village, Tanjung Priok District, obtained negative results (-) for dengue virus. Vector surveys carried out for disease control program implementers need to expand the sampling locations so that they can represent the population in an area
SISTEM INFORMASI KEHADIRAN SISWA BERBASIS SMS GATEWAY DENGAN QR CODE
Authors: Nata Gusti Ngurah Mega , I Wayan Wiraguna  , I Putu Ramayasa
Published: February 2023

Pencatatan kehadiran siswa di setiap sekolah merupakan kegiatan rutin. Namun kegiatan tersebut masih dilakukan secara konvensional yaitu dengan cara memanggil siswa satu-persatu, dan catatan ini tidak langsung diketahui oleh orang tua / wali siswa. Catatan kehadiran siswa hanya ditulis dikertas kehadiran dan direkap setiap pembagian raport siswa. Jika informasi kehadiran siswa disekolah dapat langsung diinformasikan ke wali siswa maka wali siswa akan lebih percaya bahwa anak mereka sudah berada di sekolah atau belum. Maka pada penelitian ini dibangun sistem pencatatan kehadiran siswa menggunakan QR Code dan menginformasikan kehadiran siswa secara langsung menggunakan SMS gatway ke orang tua / wali siswa. QR Code digunakan untuk mempermudah alat pemindai dan mempercepat pengiputan data siswa saat pencatatan kehadiran. Komponen utama pada sistem ini adalah aplikasi web QR Code Scanner untuk membaca QR Code yang akan di isi primery key dari data siswa yaitu nomer induk siswa. QR Code ini akan dicetak pada kartu identitas setiap siswa. Pengiriman short massage service(SMS) menggunakan modem global system for mobile communication (GSM) dan personal computer (PC). Sistem aplikasi ini dirancang menggunakan bahasa pemrograman PHP dengan menggunakan fremwork Bootstrap dan MySQL untuk membuat Database. Hasil berupa sistem website kehadiran siswa. Pengujian sistem website menggunakan metode Black Box Testing dengan hasil yaitu setiap fungsi sudah berjalan sesuai dengan rancangan awal. Sistem yang dibangun juga sudah membantu dalam proses presensi agar lebih efektif dan efisien, aplikasi web QR Code Scanner dapat membaca QR Code pada kartu siswa secara akurat dalam jarak kurang dari 10 cm dengan ukuran market QRcode paling kecil 1,5 cm. Berdasarkan hasil kuisioner, fitur sms gateway untuk melaporkan kehadiran siswa ke wali / orang tua siswa mendapat respon baik dari responden.
CANCER REPERCUSSIONS ON LIFE TRAJECTORY AND HEALTH PROMOTION: LOW-INCOME CANCER PATIENTS’ PERCEPTIONS
Authors: Santos William Messias Silva , Santos Jaqueline Silva , Andrade Raquel Dully , Halboth Nadia Veronica
Published: February 2023

Objective: To know low-income patients’ perceptions about their trajectory after cancer diagnosis and health promotion actions carried out by them. Methods: This is a descriptive and qualitative study based on conceptual bases of health promotion and quality of life, carried out with low-income cancer patients, over 18 years old, assisted by a Volunteer Center in a municipality in the countryside of Minas Gerais. Recorded semi-structured interviews were used for data collection and the sample was closed using the theoretical saturation technique. Data were analyzed using inductive thematic analysis. Results: From data analysis, two themes emerged: Repercussions of cancer on patients’ life trajectory; Health promotion and realignment in ways of living. The reports point out the perceptions about cancer and how it had an impact on ways of living of patients with cancer. Conclusion: Perceptions indicate that the oncological trajectory is hampered by the situation of poverty and that cancer can allow different realignments in patients’ life, such as the search for health promotion. In this scenario, health professionals must recognize the potential of health education, seek to strengthen patient role and carry out actions based on interdisciplinary care practice, in which there is integration of all levels of care.
THE USE OF PRE-QUESTIONING TECHNIQUE AND INSTAGRAM TO COMPREHEND NARRATIVE READING TEXTS
Authors: JCP Admin
Published: February 2023

ABSTRACTThe study was conducted to know the effect of pre-questioningtechnique and Instagram on reading comprehension of narrative text of legend.True experimental in randomized-groups-posttest-only control group design wasapplied to the tenth grade students of SMAN 3 Palangka Raya in academic year2017/2018 chosen as the sample of the study. Reading test in form of multiplechoice was used as the main instrument in order to collect the data needed. Thedata obtained were analyzed statistically using Mann-Whitney U Test. The resultof this study shows that the use of pre-questioning technique and Instagram gave asignificant effect on reading comprehension of narrative text of the tenth gradestudents of SMAN 3 Palangka Raya in Academic Year 2017/2018.Keywords: Pre-questioning technique, instagram, reading comprehension
SPEAKING IN PROCEDURE TEXT BY RETELLING USING PICTURE SERIES
Authors: JCP Admin
Published: February 2023

AbstractThe main objective of the research was to know the effect of speaking of procedure textby retelling using picture series on students’ speaking achievement of MTs Miftahul JannahPalangka Raya. Quasi-experimental research was done in randomized control group pre-testpost-test design to the answer of the research problem. The population was the students of grade7 of MTs Miftahul Jannah Palangka Raya, and the samples of grades 7A and 7B were takenrandomly from the population to be the control and exerimental groups. The data were obtainedfrom the scores of speaking taken from the samples of the research. To test the hypothesis of theresearch, statistical calculation was done using t-test. Based on the result of hypothesis testcalculation, it was found that the value of tobserved was greater than the value of ttable. i.e. 20.019 >1.671 that Ha was accepted and H0 was rejected. It means picture series gave effect on thespeaking achievement of retelling of students of MTs Miftahul Jannah Palangka Raya.Keywords : Picture series, retelling, speaking achievement
Stroke Prediction Model Based on XGBoost Algorithm
Authors: He Wenwen , Le Hongli , Du Pengcheng
Published: February 2023

In this paper, individual sample data randomly measured are preprocessed, for example, outliers values are deleted and the characteristics of the samples are normalized to between 0 and 1. The correlation analysis approach is then used to determine and rank the relevance of stroke characteristics, and factors with poor correlation are discarded. The samples are randomly split into a 70% training set and a 30% testing set. Finally,the random forest model and XGBoost algorithm combined with cross-validation and grid search method are implemented to learn the stroke characteristics. The accuracy of the testing set by the XGBoost algorithm is 0.9257, which is better than that of the random forest model with 0.8991. Thus, the XGBoost model is selected to predict the stroke for ten people, and the obtained conclusion is that two people have a stroke and eight people have no stroke.
Promoción de habilidades transversales por medio del Trabajo de Fin de Grado
Authors: Moya Velasco Jorge , Torres Polo Marta
Published: February 2023

El objetivo de este trabajo es proponer un modelo eficiente e integrado para la selección de habilidades personales, con la idea de inducir su adquisición entre los estudiantes de la universidad. Definidas las competencias de amplio espectro a mejorar, se sugieren herramientas y procesos para su consecución. En concreto, como trabajo aplicado, se ofrece el uso del Trabajo de Fin de Grado como guía para realizarlo. El método consiste en permitir al docente implicado en la tutorización del TFG la elección de competencias que aseguren el aprendizaje transversal del alumno así como la motivación del estudiante en la realización del proyecto. Los resultados obtenidos sugieren que es posible a través de programas aplicados como el aquí descrito lograr mejoras en la habilidad de los estudiantes, a la vez que se podrían mejorar los resultados académicos finales.
Extracting relations from NER-tagged sentences for ontology learning
Authors:   Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences, Lomov Pavel A. , Nikonorova Marina L. ,   Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences, Shishaev Maxim G. ,   Putilov Institute for Informatics and Mathematical Modeling of the Kola Science Centre of the Russian Academy of Sciences
Published: February 2023

This paper is a continuation of the research on training and using a neural-network language model for ontology learning. The paper deals with the problem of analyzing domain natural language texts and extracting possible relations between concepts from them. A brief overview of existing approaches to solving this problem is presented. A procedure for extracting relations between concepts based on the analysis of the sentence syntax dependency tree is proposed. The results of evaluating the efficiency of extracting relations using this procedure are considered.
Architecture of the centralized system for remote collection of heterogeneous geophysical information
Authors:   Mining Institute of the Kola Science Centre of the Russian Academy of Sciences, Kozyrev Anatoly A. , Kagan Michail M. ,   Mining Institute of the Kola Science Centre of the Russian Academy of Sciences, Panasenko Igor G. ,   Mining Institute of the Kola Science Centre of the Russian Academy of Sciences
Published: February 2023

The article analyses the features of the organization of centralized remote collection of heterogeneous geophysical information from the mine fields of mining enterprises. The authors have determined preferred architectural implementation of the collection system and analyzed its essential features affecting the reliability of functioning. Practical implementation experience of the system built within the framework of the proposed architecture, has been stated and summarized. Based on the operating experience, steps have been identified for its further development aimed at increasing its flexibility and reliability.
Introducción
Authors:   Universidad La Salle Pachuca, Panedas Galindo Jesús Ignacio
Published: February 2023

La sociedad occidental ha tenido un largo recorrido histórico por diferentes formas de gobierno. Desde armas consuetudinarias en el interior de las familias nómadas que caminaban en busca de pastura para sus rebaños, hasta la democracia actual que todos conocemos, aunque no todos vivimos. Durante siglos, las sociedades estuvieron regidas por autoridades asociadas a diferentes estamentos que aprovecharon de su posición para con­ trolar la propia comunidad: señores feudales, monarcas, nobleza, sacerdotes.
The Three Agricultural Problems in the Disequilibrium of World Agriculture
Authors:   Foundation for Advanced Studies on International Development, Japan, Hayami Yujiro , Godo Yoshihisa ,   Meiji Gakuin University, Tokyo
Published: February 2023

The disequilibrium of world agriculture has been worsening as manifested by increasing food deficit in developing economies in contrast with increasing surplus in developed economies. Underlying this disequilibrium are policies determined by the three different agricultural problems confronted by countries depending on their different development stages. "Agricultural problem" is defined here as the problem of an overriding concern to policymakers with respect to designing and implementing policies for agriculture as part of policies to promote national economies in their own countries. As such, it may well be called the "basic problem in determining agricultural policies".
Assessment of Physicochemical and Microbiological Qualities of Potable Water Sources in Okorenkoko, Delta State Nigeria
Authors: E. I. Asionye , A. P. Bariweni , J. E. Idome , A. P. Onyena
Published: February 2023

Accessibility of Potable water in rural and riverine communities have reduced drastically in recent times. A total of six borehole water samples and a freshwater sample were obtained from Okerenkoko community in Delta State, Nigeria. The water samples were analyzed for physicochemical and microbiological parameters using standard procedures. Pearson correlational analysis was employed to evaluate the level of association of the data using Statistical Package for Social Sciences version 23. Our results showed that pH concentration values ranged from 5.62 to 7.81, electrical conductivity had 10.03 to 490.01 µS/cm, dissolved oxygen varied from 3.90 to 7.91 mg/L, COD had 10.01 to 50.03 mg/L. The fecal coliform count ranged from 4- 2400 MPN/ml, while the surface water had a fecal coliform count 2400 MPN/ml;  fungal count 3.1 Log10CFU/ml and 3.6 Log10CFU/ml respectively, Total aerobic count had a maximal concentration value of 5.8 Log10CFU/ml and 5.4 Log10CFU/ml; Total Salmonella Shigella Count it had a concentration of 4.0 Log10CFU/ml. Microbes associated with the water samples were Bacillus sp., Escherichia sp., Staphylococcus sp., Streptococcus sp., Shigella sp., Proteus sp., Pseudomonas sp., Klebsiella sp., Vibrio sp.  and Micrococcus sp. There is an urgent need to source-track the trajectory of pollutants from both from domestic and industrial activities. There is need that the government at all levels should improve the available potable water resources in Okerenkoko community.
On the mysterious Seychellois endemic spider genus Cenemus (Araneae, Pholcidae)
Authors: Huber Bernhard A. , Meng Guanliang
Published: February 2023

The Pholcidae subfamily Smeringopinae has been revised extensively over the last decade, and most of its currently eight genera can now be placed with some confidence in the phylogeny of the family. A notable exception has been the endemic Seychellois genus Cenemus Saaristo, 2001. Morphologically, the genus is mainly characterized by plesiomorphies, which resulted in weakly supported and unstable positions in previous cladistic analyses. Molecular data have not previously been available. Here we revise the morphology of the type species Cenemus culiculus (Simon, 1898), including first SEM photos, and present the first molecular data for the genus. Morphology and molecules continue to give conflicting results regarding the sister taxon of Cenemus, but our analyses strongly support a position of the genus within the northern group of Smeringopinae (Northern Africa and the Mediterranean to India) rather than in the southern group (Subsahara Africa). This supports the idea that Cenemus is an ancient taxon, dating back to the breakup of Gondwana, between the separation of the Mascarene platform from Madagascar (~85 mya) and its separation from India (~60 mya). In addition, we present first molecular data for the recently established Smeringopinae genus Maghreba Huber, 2022, which is consistently resolved as sister to Crossopriza Simon, 1893; we present molecular evidence for the polyphyly of Holocnemus Simon, 1873, supporting previous morphological evidence; and we present an annotated list of the Pholcidae of the Seychelles, most of which are supposedly recent human introductions.
Promoting sustainable global innovative smart governance through the 5th wave theory, via Fuzzy AHP for future SMEs (SME 5.0/hybrid SMEs)
Authors: Mohammadian Hamid Doost , Langari Zeinab Ghasabzadeh , Kamalian Amin Reza , Yaghoubi Nour Mohammad , Aramesh Hamed
Published: February 2023

With the advancement of technology and Smartening, governments have realized that the most essential feature of business models is the emphasis on knowledge and innovation, and that governance needs innovation to be sustainable. Modern organizations today are looking for new solutions to create public value through innovative, effective, human-service-based services and decision-making using the potential of modern and digital technologies to provide the tools needed for organizational development and sustainability. The present study is of a practical type and specifically based on structural equation modeling. Data collection tools are standard questionnaires whose validity was assessed using the content validity method and their reliability was assessed using Cronbach's alpha test. The statistical population of the research included some government organizations of Iran and the sample size was calculated using G*power software and the number of people was estimated to be 284. Findings showed that with 95% confidence, the variables of 7 Pillars Sustainability (7PS) and innovation culture have a positive and significant effect on organizational sustainability. while indirect path analysis reveals the mediating role of innovation culture in the impact of the 7PS on organizational sustainability. Also, FUZZY AHP was used to determine the weight and importance coefficient of the criteria of the 7PS Model, and the culture with the highest score was given the first priority.
Effects of inter-industry agglomeration on environmental pollution: Evidence from China
Authors: Xu Li , Guo Ping , Pan Guoqin
Published: February 2023

Industrial pollution comes not only from within industries, but also from between industries that are strongly linked. From the perspective of agglomeration, this study explores the mutual transmission of pollution between different manufacturing industries. We found that there is an inverted U-shape relationship between inter-industry agglomeration and environmental pollution among 20 Chinese manufacturing industries. Energy intensity, which is an important transmission path from agglomeration to pollution, is positively related to the energy consumption of industries with some degree of agglomeration. Besides, the expansion of production scale caused by inter-industry agglomeration leads to more energy consumption and pollution. Furthermore, the innovative technology resulting from inter-industry agglomeration reduces environmental pollution but does not have a significant impact on energy consumption.
Patch model for border reopening and control to prevent new outbreaks of COVID-19
Authors: Zheng Tingting , Zhu Huaiping , Teng Zhidong , Nie Linfei , Luo Yantao
Published: February 2023

In this paper, we propose a two-patch model with border control to investigate the effect of border control measures and local non-pharmacological interventions (NPIs) on the transmission of COVID-19. The basic reproduction number of the model is calculated, and the existence and stability of the boundary equilibria and the existence of the coexistence equilibrium of the model are obtained. Through numerical simulation, when there are no unquarantined virus carriers in the patch-2, it can be concluded that the reopening of the border with strict border control measures to allow people in patch-1 to move into patch-2 will not lead to disease outbreaks. Also, when there are unquarantined virus carriers in patch-2 (or lax border control causes people carrying the virus to flow into patch-2), the border control is more strict, and the slower the growth of number of new infectious in patch-2, but the strength of border control does not affect the final state of the disease, which is still dependent on local NPIs. Finally, when the border reopens during an outbreak of disease in patch-2, then a second outbreak will happen.
Dynamic Mosaic algorithm for data augmentation
Authors: Li Yuhua , Cheng Rui , Zhang Chunyu , Chen Ming , Liang Hui , Wang Zicheng
Published: February 2023

Convolutional Neural Networks (CNNs) have achieved remarkable results in the computer vision field. However, the newly proposed network architecture has deeper network layers and more parameters, which is more prone to overfitting, resulting in reduced recognition accuracy of the CNNs. To improve the recognition accuracy of the model of image recognition used in CNNs and overcome the problem of overfitting, this paper proposes an improved data augmentation approach based on mosaic algorithm, named Dynamic Mosaic algorithm, to solve the problem of the information waste caused by the gray background in mosaic images. This algorithm improves the original mosaic algorithm by adding a dynamic adjustment step that reduces the proportion of gray background in the mosaic image by dynamically increasing the number of spliced images. Moreover, to relieve the problem of network overfitting, also a Multi-Type Data Augmentation (MTDA) strategy, based on the Dynamic Mosaic algorithm, is introduced. The strategy divides the training samples into four parts, and each part uses different data augmentation operations to improve the information variance between the training samples, thereby preventing the network from overfitting. To evaluate the effectiveness of the Dynamic Mosaic algorithm and the MTDA strategy, we conducted a series of experiments on the Pascal VOC dataset and compared it with other state-of-the-art algorithms. The experimental results show that the Dynamic Mosaic algorithm and MTDA strategy can effectively improve the recognition accuracy of the model, and the recognition accuracy is better than other advanced algorithms.
Temporal fact extraction of fruit cultivation technologies based on deep learning
Authors: Liu Xinliang , Ma Lei , Mao Tingyu , Ren Yanzhao
Published: February 2023

There are great differences in fruit planting techniques due to different regional environments. Farmers can't use the same standard in growing fruit. Most of the information about fruit planting comes from the Internet, which is characterized by complexity and heterogeneous multi-source. How to deal with such information to form the convenient facts becomes an urgent problem. Information extraction could automatically extract fruit cultivation facts from unstructured text. Temporal information is especially crucial for fruit cultivation. Extracting temporal facts from the corpus of cultivation technologies for fruit is also vital to several downstream applications in fruit cultivation. However, the framework of ordinary triplets focuses on handling static facts and ignores the temporal information. Therefore, we propose Basic Fact Extraction and Multi-layer CRFs (BFE-MCRFs), an end-to-end neural network model for the joint extraction of temporal facts. BFE-MCRFs describes temporal knowledge using an improved schema that adds the time dimension. Firstly, the basic facts are extracted from the primary model. Then, multiple temporal relations are added between basic facts and time expressions. Finally, the multi-layer Conditional Random Field are used to detect the objects corresponding to the basic facts under the predefined temporal relationships. Experiments conducted on public and self-constructed datasets show that BFE-MCRFs achieves the best current performance and outperforms the baseline models by a significant margin.
“Nested Liminalities”: Death, Migration and Pandemic among Georgians in Russia
Authors: Gurchiani Ketevan , Darchiashvili Mariam
Published: February 2023

Based on an ethnographic fieldwork among Georgian migrants in Russia, the paper focuses on the management of deceased bodies abroad during the pandemic of COVID-19. More precisely, the paper identifies three levels of liminality, which contribute to the “making of death” in this context: that of death, that of migration, and that of the pandemic. The paper looks at the material and emotional expectations and constraints that surround the repatriation of corpses, including the technological solutions, and what these rituals do for the migrants. We see that during repatriation the bodies go through the process material, linguistic and affective re-appropriation, which enables mourners to transition out of liminality. The paper also shows how death reactivates reciprocal networks and obligations in the homeland that might be disrupted by migration. Death rituals and their technological adaptations enable both the mitigation of some of the liminalities and the revitalisation of local networks.
Covid Live Multi-Threaded Live COVID 19 Data Scraper
Authors: Birthare Parth , Raja Maheswari , Ramachandran Ganesan , Hargreaves Carol Anne , Birthare Shreya
Published: February 2023

COVID-19 began in 2019, and by the advent of 2020, it had become widespread and adversely affected the world. In this work—Covid Live, COVID-19 data is scraped from an online website, which gives an overview of the status of the pandemic in the desired format. The authors built an application interface using a Python micro web Flask framework. The data scraping uses a multi-threading concept to reduce the program's runtime error, resulting in receiving the data quickly, and faster than existing web crawlers and scrapers. This paper focuses on dealing with storing scraped data in the desired format. It also provides options to hear the audio of the scraped data and to download the scraped data. The authors present visualizations of current trends with scraping period details and demonstrate an efficient application that does the data scraping quickly and efficiently.
Structural and Functional Data Processing in Bio-Computing and Deep Learning
Authors: S. Karthigai Selvi
Published: February 2023

The goal of new biocomputing research is to comprehend bio molecules' structures and functions via the lens of biofuturistic technologies. The amount of data generated every day is tremendous, and data bases are growing exponentially. A majority of computational researchers have been using machine learning for the analysis of bio-informatics data sets. This chapter explores the relationship between deep learning algorithms and the fundamental biological concepts of protein structure, phenotypes and genotype, proteins and protein levels, and the similarities and differences between popular deep learning models. This chapter offers a useful outlook for further research into its theory, algorithms, and applications in computational biology and bioinformatics. Understanding the structural aspects of cellular contact networks helps to comprehend the interdependencies, causal chains, and fundamental functional capabilities that exist across the entire network.
Consumer Reactions and Brand Strategies in Wartime
Authors: Yurdagel Mine , Baycur Gözde
Published: February 2023

Wars and political conflicts are crucial factors that shape consumer choices and responses. Tensions among countries may lead consumers to boycott the products of certain countries and brands that support those countries. The major goal of this chapter is to explain how war and other types of political conflicts among countries can affect consumer brand relationships. While discussing the economic repercussions of conflicts and war, this chapter will explore the literature streams of country of origin, consumer animosity, consumer power and boycotts, and brand activism. Contemporary instances of how brand-consumer connections change during times of conflict will be examined. In conclusion, the chapter will provide practical insights for brands to survive wartime and be less vulnerable to international political tensions.
The Changing New Face of the Concept of Crime in the Digital Age
Authors: Yıldırım Arzu
Published: February 2023

Cybercrime has become one of the most important problems of not only individuals but also countries and institutions. Today, it is known that crimes on this subject have increased with the widespread use of computers, the increase in virtual jobs, and the emergence of working from home. Therefore, the aim of the study is to raise awareness about cybercrime. After the conceptual framework of cybercrime that will be faced by societies that have become a digital society is created, suggestions are developed to combat cybercrime.
War and Conflicts Over National and Ethnic Identities in the Middle East
Authors: Keskin Oğuz , Chaychi Semsari Mortaza , Gedik Ahmet
Published: February 2023

In general, it can be said that more than half of the world's countries experienced ethnic and religious conflicts after the Second World War. Especially in terms of this conflict and war, The Middle East is one of the tensest places in the world, and all conflicts in this region have various internal and external causes. However, many of them start with a religious and ethnic motif or a small spark (a political statement, any action on the street, etc.). Today, ethnic and religious conflicts are of great concern and challenge for decision-makers and academics, and this difficulty contains an important breaking point in political debates. In fact, carrying a different meaning to the world with violence and ethnic and religious conflicts in more than a quarter of the Middle East, it aims to make the center of regional politics visible in identity conflicts and thus to open identity and ethnic space through conflict, thus opening the door to conflict politics.
War, Refugees, and Labor
Authors: Kılıç Eda
Published: February 2023

Russia's heavy attack on Ukraine, which started in the first months of 2022 and is currently ongoing, has had global effects not only on the aforementioned countries. However, the most affected are Ukraine and its people. The country has been completely destroyed. On the other hand, displaced people (women, children, and the elderly) who have been separated from or lost their families constitute the heaviest loss of the war. Displaced people have sought asylum primarily in neighboring countries. The Council of the EU adopted and activated “Temporary Social Protection” for all those affected by the war. The most urgent needs of refugees are cash, employment, and shelter. Although cash and shelter needs can be met temporarily, meeting these needs in the medium and long term is only possible by employing them. In this respect, the workforce profiles of refugees from Ukraine, most of whom are single and educated mothers, and their outlook in the labor market in the host country will be discussed in the example of Poland, the host country where refugees are most often registered and admitted.
Student Initiative of Producing Their Own Mini Videos for Language Learning
Authors: Guenier Amily
Published: February 2023

This study explores how students produce their own mini videos using the target language to share experiences and communicate with native speakers. Multimodality is used as a theoretical approach. Class observations and in-depth interviews were used for data collection, which was analysed by theme. The research results indicate that students deem it the agency of their own learning rather than completing the assignments given by the tutor; they gain more from the discussions among their peers and native speakers than from giving the presentations in class only; watching and making comments on their own videos is visually and mentally stimulating, which triggers more thoughts and expressions. Students appreciate the cooperation among themselves, while they also find it challenging to manage their publicity. This research provides empirical evidence on how to encourage students' initiative to improve language skills and enhance intercultural communication competence, which sheds light on reshaping language and intercultural communication education.
A Dynamic Interoperability Model for an Emergent Middleware Framework
Authors: Nundloll Vatsala , Blair Gordon S.
Published: February 2023

Standard middleware platforms are unable to cope with extreme heterogeneity and dynamicity of distributed systems. With new trends in mobile/pervasive applications, distributed systems are required to connect to one another at run time, implying that heterogeneities arising in systems need to be resolved on the fly. This ability of a system to interact with a different system is known as interoperability. More advanced solutions, which exceed the state-of-the-art in middleware, are required to handle interoperability on the fly. This paper investigates the challenges of enabling dynamic interoperability for the domain of vehicular ad-hoc networks (VANETs). The paper uses semantic web technologies to help devise an emergent middleware to enable different VANETs to interact with each other at runtime. An ontology-based framework coupled with an experimental evaluation of the framework is presented. The need for linguistic techniques in assisting ontologies is also emphasized in the framework.
A Policy Rate Channel Testing of Monetary Policy Transmission Mechanism
Authors: Malik Firdous Ahmad , Das Deepanjali , Janjua Laeeq Razzak , Adam Hebatallah
Published: February 2023

Against the backdrop of invariant financial and economic reforms, there are presumptive changes in the confines and speed with which target variables respond to Reserve Bank of India (RBI) policy signals. The result of transmission lags from monetary policy to the real sector is unmistakable. The empirical approach used in this study is a natural progression from the VAR model videlicet, co-integration, and error correction techniques used to overcome the problem of spurious regression associated with non-stationary time-series data. After a shock induces disequilibrium, the speed and degree of adjustment return to a balanced state but with some time lag. The results indicate that in the two-step verification model, it takes approximately 2.851 months for WACMR to fully respond to a change in policy rates, whereas in the second step, it takes approximately 10.33 months for base rates to reach their complete pass-through following changes in call money market and deposit rates.
A Framework for Public eServices Transparency
Authors: Lourenço Rui Pedro
Published: February 2023

Different aspects of government transparency have been analyzed by the research community, but no structured framework was found concerning public eServices transparency. This article considers transparency from a service users' point of view and outlines a framework rooted in a systematic literature review, complemented by a selected literature analysis on the fields of eServices quality and public sector values. The framework defines the concept of ‘public eServices transparency' and characterizes the information that should be made available, according to different service user profiles. The aim is to assist practitioners from public administration to develop eServices and scholars to assess existing eServices transparency.
E-Banking Adoption by Algerian Bank Customers
Authors: Bellahcene Mohammed , Latreche Hela
Published: February 2023

This study aimed to identify the factors affecting customers' adoption and use of e-banking services in Algeria. For this purpose, a theoretical model—based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT)—was developed. To test the hypotheses, a survey was conducted on 326 Algerian bank customers, and the data were analyzed using structural equation modeling. At the end, the results indicate that perceived usefulness and perceived ease of use significantly positively influence attitudes toward e-banking. In turn, attitudes toward e-banking influence behavioral intention and behavioral intention, facilitating conditions each influence significantly and positively actual e-banking use. The results also found that the relationship between perceived usefulness and attitude toward e-banking use was stronger for women, and the relationship between facilitating conditions and actual e-banking use was significantly stronger for older end-users.
Digital Disparities in Patient Adoption of Telemedicine
Authors: Dickey Alissa M. , Wasko Molly McLure
Published: February 2023

Telemedicine's growth during the COVID-19 pandemic exposed digital and health disparities in U.S. communities. Public health advocates suggest disparities in healthcare access may be mitigated through free or low-cost broadband. However, prior research shows that many factors influence patient adoption of information technologies; therefore, increasing access to broadband alone is insufficient. This paper advances a patient-centered model of telemedicine (TM) adoption supported by qualitative interview data. The model illustrates that patient adoption of TM is driven by a complex sociotechnical system comprised of technology factors, structural factors underlying the provider's provision of TM, and individual patient factors. Findings highlight the importance of the physical place of the TM visit, the need for experienced TM healthcare workers and technology support for patients, the impact of provider-mandated technology on task-technology fit (TTF), and the strength of the patient-provider relationship. These factors affect patient perceptions of TTF and ultimately TM adoption.
Changing Nature of Customer Relationships in Organizations
Authors: Mandal Pratap Chandra
Published: February 2023

Companies focus on developing relationships and marketing partners to generate customer value and to receive value in return. However, companies should be selective in developing relationships with customers and marketing partners. The objective of the study is to understand and to focus on profitable customers and marketing partners. The methodology adopted is a conceptual analysis of the various aspects of building, developing, and managing relationships with selected customers and marketing partners. Companies should focus on developing deep and interactive customer relationships and on consumer-generated marketing. They should focus on developing customer relationships both in offline and online domains. They should understand various consumer rights and protect such rights. They should also focus on building relationships with marketing partners both within and outside the firms. The discussions will sensitize both academicians and practitioners about the importance of developing relationships with selected customers and partners to be successful in the long run.
Drivers of Unfettered Urban Sprawl in Pakistan
Authors: Ahmad Niaz
Published: February 2023

Urban sprawl is a global concern, however, developing countries are failing to effectively overcome this problem. For instance, in Pakistan, urban development policies are tenuous and urban areas remained without certified boundaries. This failure is mainly causing an unfettered sprawl in major cities of the country. An alarming fact is that most of the urban sprawl is consistently taking place on fertile agricultural land in the peripheries of cities. The researcher has verified the problem through literature and by supervised classification of the satellite imageries to specifically verify growth of Peshawar city. This research contributed to unveil the fundamental causes of the unrestricted urban sprawl and its aftereffects in the context of Pakistan. Finally certain reforms and techniques are suggested to curb leapfrogged and low-density haphazard growth of cities.
Propaganda Information of Internet Celebrity Influence
Authors: Meng Fei , Jiang Shiqi , Moses Kmena , Wei Jianliang
Published: February 2023

At present, internet celebrity marketing has become a driving force for the growth of mobile e-commerce; however, it has also become more apparent that the credibility and authenticity of the internet celebrity is directly correlated to the success of the marketing model. Therefore, in order to entice consumers into purchasing products, cooperations and internet celebrities must be deemed trustworthy. In addition, there are several factors that influence the trust between internet celebrities and consumers. To highlight these factors, this paper constructed an internet celebrity marketing model from the perspective of trust and takes internet celebrity features, marketing character, and product factor as three constructs. Furthermore, eight independent variables are defined, and the corresponding items are designed. Through a quite large data survey and analysis, they have three findings: all eight independent variables have significant influence on trust, and internet celebrities' popularity, interactivity, and professionalism are the top three important factors.
Linking ecosystems, habitats, and biodiversity: from the grand picture to the tiny details, and back
Authors: Boero Ferdinando
Published: February 2023

Natural sciences usually proceed through the analysis of facts that are then assembled into a general framework, often called a “theory”. I have tried here to assemble the “tiny facts” that I have uncovered in my career and to organize them into a holistic perspective. I have chosen to start from the “big picture”, i.e., the functioning of ecosystems, to focus then on details regarding the expression of biodiversity, from the role of life cycles in ecosystem functioning, to the way of assessing biodiversity based on the accurate knowledge of its evolution in time. The Historical Biodiversity Index allows to compare the potential biodiversity (all the species recorded from the studied habitat type) with the realized biodiversity (the species found by sampling in that habitat). The study of natural history might lead to unexpected ecological connections, such as the dynamics of plankton (the most important ecological phenomenon of the whole planet) and the composition of resting stage banks, or the keystone role of the interstitial fauna in determining the diversity of plankton. The oceanic realm is in three dimensions and must be considered as a volume rather than as an area. Living systems, though, change constantly and a fourth dimension (time) is crucial to understand their structure and function. The cells of ecosystem functioning, based on connectivity, are proposed as natural spatial units for both management and protection from human impacts.
Prevalence of Diabetes Mellitus and Depression Status among Pregnant Women in Rural Population in Kancheepuram District
Authors: Sandhya M , Manikumar M , Augustina S Jenifer , Kamalakannan M
Published: February 2023

Background:

Gestational diabetes mellitus (GDM) is a condition that lasts for a short period of time during pregnancy. It is usually diagnosed in the second trimester of gestational period and present in almost 12% of pregnant women.

Aim:

The main aim of the study is to find the prevalence of GDM and depression status among pregnant women in rural population in Kancheepuram district.

Methodology:

Total of 150 pregnant women belongs to rural area were selected for the study to find out the prevalence of gestational diabetes mellitus. Pregnant women between 24 and 28 weeks of fetal age were included in the study, and pregnant women below 24 weeks and above 28 weeks of the fetal age and women who refused to participate in the study were excluded. Detailed procedure was explained, and written consent was obtained from the subjects. The Diabetes in Pregnancy Study Group India criteria were used for the diagnosis of GDM, and Edinburgh postnatal depression assessment tool was used to measure the depression level among the pregnant women with GDM.

Results:

About 40% of the women were diagnosed with gestational diabetes mellitus, in which out of 40%, 32% of the women with gestational diabetes were also suffered from depression during pregnancy.

Conclusion:

This study concluded that there is a high incidence of diabetes during pregnancy among women in rural population in Kancheepuram district. Age, gravida status, parity, and obesity are the main risk factors that are strongly related to gestational diabetes.