bluuebunny/crossref_metadata_2025 huggingface dataset:
THE FORMATION OF THE IDEOLOGY OF NATIONALISM PROPOSED BY SUN YAT-SEN
Authors:   Researcher, Tashkent State University of Oriental Studies, Tashkent, Uzbekistan, Abdazimov Javlon
Published: March 2024

Political principles in China, formed under traditional Chinese ideology, were in some ways opposed to the teachings of Confucianism. Sun Yat-sen, the father of the Chinese state, mainly sought to create a strong liberal political state within society, based on the formation of China’s historical political culture, which is called “the reverse direction of totalitarianism”, and is considered to have unique national values compared to other countries. China's cultural and political ideologies are based on the idea of loyalty to historical heritage and traditions, and it is necessary to promote nationalism and identity by preserving ideological and humanitarian principles from the influence of globalization. At the beginning of the 20th century, the influence of the Western modernization model of development entered, and from the end of the 20th century, the national path of development was revived and the system of national ideological values became popular. The Chinese have never claimed economic, political or intellectual equality. An individual's upward or downward mobility economically, politically, or academically was believed to be slowed or accelerated by the influence of his family. However, hard work and mobility were constantly noticeable.
Timed picture naming norms for 800 photographs of 200 objects in English
Authors: van Hoef Rens , Lynott Dermot , Connell Louise
Published: March 2024

The present study presents picture-naming norms for a large set of 800 high-quality photographs of 200 natural objects and artefacts spanning a range of categories, with four unique images per object. Participants were asked to provide a single, most appropriate name for each image seen. We report recognition latencies for each image, and several normed variables for the provided names: agreement, H-statistic (i.e. level of naming uncertainty), Zipf word frequency and word length. Rather than simply focusing on a single name per image (i.e. the modal or most common name), analysis of recognition latencies showed that it is important to consider the diversity of labels that participants may ascribe to each pictured object. The norms therefore provide a list of candidate labels per image with weighted measures of word length and frequency per image that incorporate all provided names, as well as modal measures based on the most common name only.
Desafiando Lesiones: la Revolución de los Ejercicios Excéntricos en la Salvaguarda de Futbolistas contra Problemas Isquiotibiales
Authors: Pazmiño Patiño José Daniel , Paña Soldado Hector Galo , Vásquez Castro Carlos Enrique , Chirau Cudco Washington Antonio , Vásquez Castro Luis Alberto , Mosquera Lliguin Cristóbal Marcelo
Published: March 2024

Este estudio se llevó a cabo bajo un modelo de revisión bibliográfica titulada Ejercicios Excéntricos en la prevención de lesiones isquiotibiales en futbolistas, dentro de la Dirección de Investigación en Salud de Rehabilitación Física. Las lesiones del tendón de la corva generalmente son causadas por un estiramiento excesivo de la unión del tendón, siendo el bíceps femoral el más propenso a lesionarse. Estas lesiones suelen producirse por mecanismos de no contacto debido a las exigencias de alta intensidad del deporte, suelen ocurrir durante la fase oscilatoria final del sprint. Al ser el diagnóstico más común en el fútbol y caracterizado por una alta tasa de recurrencia, en esta área se requieren programas de prevención de lesiones como el entrenamiento excéntrico. Durante la investigación, la recopilación de información se basó en la demostración de atributos científicos, y para obtener diversas fuentes de información precisa, se utilizaron bases de datos científicas de referencia, como: PubMed, Google académico, Scielo, Elsevier, Science Direct y otros materiales de interés académico, mediante el enfoque analítico que evaluó cada artículo por la escala PEDro, filtrando los criterios de inclusión y exclusión, y gracias a ello, 35 artículos proporcionaron una base de evidencia sólida debido a su autenticidad. Finalmente, después de completar una recopilación de artículos científicos se demostró la efectividad del ejercicio excéntrico en la prevención de lesiones isquiotibiales en jugadores de fútbol, especialmente mediante el uso de ejercicios nórdicos para isquiotibiales. Los resultados obtenidos en cuanto a la resistencia y sus variables, para ejercicio excéntrico máximo y relación H/Q no son concluyentes.
Actividades Integradoras y su Impacto en el Desempeño Escolar de Estudiantes Universitarios Durante la Pandemia
Authors: García Robles Mayra Judith , Contreras Ovalle Noé Israel , Robles Huizar Mayela de San Juan , Vázquez Huerta Diana Isabel , Hernández Esqueda Gabriela
Published: March 2024

Introducción. Durante la pandemia por la COVID-19, la modalidad de clases en línea, impactó negativamente el aprendizaje significativo en los estudiantes de Ingeniería en Biotecnología de la Universidad Politécnica de Zacatecas. Por ello, se implementaron actividades integradoras en todos los niveles. Metodología. Se realizó un estudio cuasiexperimental cualitativo, longitudinal en panel, de tipo prospectivo, donde se identificaron y analizaron los factores que contribuyen con la educación de los estudiantes, se implementaron actividades integradoras durante los cuatrimestres septiembre-diciembre 2020 y enero-abril 2021 y encuestas de satisfacción. Resultados. Se observó un aumento en los factores económicos, académicos, psicoemocionales y familiares. Las actividades integradoras y las encuestas realizadas mostraron que los estudiantes se encontraron satisfechos. Conclusión. Las clases en línea favorecieron el aumento de factores que influyen en la educación. Con las actividades integradoras realizadas se reforzaron los conocimientos teóricos de las clases y se fomentó un aprendizaje significativo durante la pandemia.
Evaluación de las Herramientas de Gestión en el Proceso de Acreditación en alta Calidad de Ingeniería Industrial en Educación Superior
Authors: Cardozo Miranda Brayan Ignacio , Muñoz Chipatecua Julio Alexander
Published: March 2024

El estudio se enfoca en evaluar el uso y frecuencia de las herramientas de gestión de calidad en los procesos de acreditación en alta calidad de 36 universidades miembros de la red de decanos y directores de ingeniería industrial (REDIN), en Colombia. Para lograr esto, se utilizó una metodología cuantitativa que incluyó la aplicación de una encuesta estructurada. En el resultado se evidencia el compromiso inquebrantable de estas instituciones con la obtención de la acreditación en alta calidad, es crucial reconocer la importancia de herramientas de gestión para enfrentar los desafíos y complejidades en la búsqueda de la excelencia académica y el cumplimiento de estándares regulatorios. Las universidades colombianas se esfuerzan en diseñar programas académicos innovadores, pero se enfrentan a obstáculos en la gestión de procesos. La obtención de la acreditación en alta calidad en programas de educaciòn superior requiere evaluaciones internas y externas exhaustivas, centradas en infraestructura, cuerpo docente capacitado, investigación avanzada, estudiantes, egresados  y recursos tecnológicos. Aunque se promueve un ambiente propicio para el aprendizaje inclusivo, la falta de herramientas de gestión puede obstaculizar la optimización de procesos. Este artículo destaca la necesidad de indagar y comprender las herramientas de gestión de calidad empleadas por las universidades. Desde sistemas de seguimiento y evaluación de indicadores clave hasta plataformas tecnológicas para la automatización administrativa, estas herramientas no solo optimizan la obtención de la acreditación en calidad en programas, sino que también impulsan una cultura de mejora continua.
A Study on Support for Self-Reliance of the Disabled after Deinstitutionalization by Social Workers in Charge of Independent Living Housing: Focusing on Incheon Area
Authors:   The Korea Academy of Case Management, Jeon Jihye , Yang Sook Mee , Won Young-mi , Lee Sehee
Published: March 2024

Independent Living Housing for the Disabled is a residential space where people with disabilities can train and practice self-reliance after leaving a residential facility. Along with the discussion on deinstitutionalization, each local government implemented various deinstitutionalization projects, and the disabled who prepared for independence in independent living houses settled into the local community. Accordingly, this study examined how social workers in charge of independent living housing recognize and experience support for self-reliance for the disabled, any difficulties and whether there are any needs for improvement. A subjective questionnaire and focus group interview were conducted with 15 people who were in charge of independent living housing in Incheon, and a qualitative study was conducted using the keyword analysis method. As a result of the study, there was a conflict between the value philosophical perception of self-reliance and practical support, and the independent living housing was operated like a welfare center program provider rather than a residential space. In addition, difficulties in finding housing after eviction from independent living housing, problems in the support method for self-reliance settlement funds, and problems with relationships and perceptions with neighbors were revealed. Based on the research results, this study suggested policy stabilization of housing, improvement of the procedure for self-reliance subsidy, and reinforcement of the function of the transition support center as a comprehensive self-reliance support delivery system. Reinforcement of, supervisory, and case management capabilities was suggested.
Tasks of in-depth case management in child protection agencies according to changes in the child abuse response system -Focusing on the experience of the public officials in charge of child abuse-
Authors:   The Korea Academy of Case Management, Kim Kyunghee , Kim Yoensoo , Sohn Gahyun
Published: March 2024

This study was conducted for the purpose of exploring the current case management performance of child protection agencies after the publicization of the child abuse response system, and finding the future direction as a specialized agency for in-depth child abuse case management. To this end, from July to September in 2021, we conducted individualized in-depth interviews with five public officials in charge of child abuse investigation. The interview questions were about experiences of cooperation between public child protection sector and child protection agencies, expectations of child protection agencies’ role as an in-depth child abuse case management institution, and future tasks for in-depth case management agencies. As a result of the analysis, study participants who represent the public sector expressed various concerns and expectations about the in-depth child abuse case management of the child protection agencies, and suggested the practice competencies and environmental conditions necessary for a successful transition to the in-depth case management institution. Based on the results of the study, the practice competencies and policy strategies necessary for the development of child protection agencies’ in-depth cases management institution were proposed as implications of the study.
A Study on Influencing Factors on Service Satisfaction of Day and Night Care: Focusing on staffing, benefit cost, and facility environment factors
Authors:   The Korea Academy of Case Management, Park Sanghee , Yoo Jaenam
Published: March 2024

The purpose of this study is to analyze the factors influencing the day and night care service satisfaction of the caregiver. Among staffing factors, benefit cost factors, and facility environment factors, which factor best explains service satisfaction is to be identified. The subject of this study is the primary caregiver of long-term care insurance day and night care users for the elderly. Some of the data collected through the 2021 study of the National Health Insurance Service’s ‘The Function Specialization of the Day and Night Care in the Long-Term Care Insurance’ was used. A hierarchical multiple regression analysis method was performed. The analysis results of this study are as follows. Among staffing factors, benefit cost factors, and facility environment factors, the factor that best explains the service satisfaction of the primary caregiver is staffing factor, followed by facility environment factors and benefit cost factors in that order. In particular, in the staffing factor, the professionalism of the staff, communication with the family, and the degree of reflection of the family were analyzed as determinants that affect service satisfaction. As for the benefit cost factors, it was found that the higher the satisfaction with the cost of using the service, the higher the satisfaction with the service. In terms of facility environment factors, the latest facilities and sufficient equipment, a structure that is convenient for the elderly to use, and a caring space affected service satisfaction. Based on the research results, related policy and practical directions were suggested, such as strengthening staffing and facility environment standards, appropriateness of benefit costs, and seeking various service payment methods that can enhance the satisfaction of services provided by day and night care institutions.
Research on Policy Developments to Ensure the Labor Rights of Out-of-School Youth: Comparative Analysis of Korea and France
Authors:   The Korea Academy of Case Management, Ryu Tae-Kyung , Moon Sung Ho
Published: March 2024

This study aimed to systematically analyze the policies of Korea's Naeil Irum School and France's La Garantie Jeunes with an objective to propose a development measure to guarantee the labor rights of out-of-school youths. In order to achieve the purpose of the study, an analysis was attempted by dividing it into delivery system, benefit, policy target, and financial resources, which was the framework for the output analysis of social welfare policies proposed by Gilbert and Terrell(2005). As a result of the analysis, it was confirmed that Korea is absent on the basis regulation of the delivery system and lacks expertise. In the case of benefit, the link between purpose and goal was insufficient, and the content of benefit was set to be centered on the provider. The problem of the policy target was shown to be the operation at the pilot project level and the absence of career exploration process. Finally, the securing of financial resources was not stable, and there was a lack of reality in the appropriation of training expense. Based on these results, proposals were made to reorganize the promotion system into the out-of-school youth support center, to provide consumer-centered service, to modify the statutes for the guarantee of labor rights, and to secure stable financial resources through general accounting.
Calendario para el registro de floración y cosecha 2020
Authors:   Centro Nacional de Investigaciones de Café
Published: March 2024

Registro de la floración y la cosecha, esto le permitirá manejar la broca, controlar la roya y administrar la cosecha, para utilizar las lonas y la derribadora selectiva de café.
Calendario para el registro de floración y cosecha 2022
Authors:   Centro Nacional de Investigaciones de Café
Published: March 2024

Registro de la floración y la cosecha, esto le permitirá manejar la broca, controlar la roya y administrar la cosecha, para utilizar las lonas y la derribadora selectiva de café.
MODIFICATION OF THE SICKLE INSERT OF AN INTERNAL GEAR PUMP
Authors: Towarnicki Krzysztof , Danilevičius Algimantas , Šukevičius Šarūnas
Published: March 2024

The reduction of the weight of high-pressure components and systems (including hydraulic) is especially important in aircraft or mobile machinery. An interesting trend that began in the first half of the 20th century in the aviation industry is the weight reduction of structures by using components made of composite materials in place of those made of conventional materials. This trend is not only not diminishing, but is actually increasing year by year. This paper investigates the effect of modifying the design of the sickle insert on the volumetric efficiency of the pump. Moreover, this work presents the replacement of the sickle insert of an internal gear pump made of bronze with plastic materials, reducing its weight by 80%. To ensure similar performance, its design was modified, increasing the pump’s efficiency while additionally reducing its weight. This material substitution allows the reduction of weight, but it can adversely affect the performance of the hydraulic component, this also applies to the displacement pumps. For this reason, the design had to be changed to obtain similar operational parameters after changing the material.
DETERMINE COVERAGE CHARACTERISTICS OF EARTH SATELLITE
Authors: Marinov Assen
Published: March 2024

Threats posed by counterspace capabilities are directed against space systems, their supporting ground infrastructure, and data links between space systems and ground infrastructure. Space countermeasures include direct attack and co-orbital anti-satellite systems, cyber attacks, electronic warfare and directed energy. Earth as seen from space is a key visual element in planning operations. This necessitates a careful selection of continuous review of certain areas of operational and strategic interest. Satellite coverage planning covers the entire process from the idea of a new satellite system to final in-orbit testing. It is a multidisciplinary activity that ranges from defining the areas of interest in the relevant geographic areas, designing the appropriate orbit, and arriving at the determination of the necessary sensors that will meet the mission need.
APPLICATION OF SATELLITE DATA FOR MONITORING THE RETREAT OF MOUNTAIN GLACIER MORTERATSCH, SWISS ALPS, OVER A PERIOD OF 51 YEARS
Authors: Stoyanov Andrey
Published: March 2024

The presented study aims to apply a method for monitoring the retreat of mountain glacier in Alpine region of Swiss Alps, which consists of using optical satellite imagery and their spectral capabilities to observe snow and ice objects on earth surface. Satellite imagery with its big legacy archive dating back to 1972 for Landsat imagery, can be of big help to track and monitor the alpine glaciers retreat for long periods and serve as a database for modelling and predicting the glaciers retreat in the future. By combining different satellite data processing approaches, results have been obtained on the spatial distribution and dynamics of the Morteratsch Glacier over a period of 51 years. The focus of the study is to track the changes that have occurred along the positions of the ice front (terminus) in glacier’s ablation zone to obtain information about glacier’s dynamics during the study period.
New books
Authors: Getsov Peter
Published: March 2024

At the end of 2023, the Bulgarian Academy of Sciences Publishing House "Prof. Marin Drinov" published the second revised and supplemented edition of the book "Introduction to Cosmonautics" by Prof. Doctor of Technical Sciences and Doctor of Physics Eng. Garo Mardirossian. The author is well known to specialists in the field of space research and technology for his ten books, over 150 scientific publications and reports, more than 60 patents, and hundreds of popular science articles in print and electronic media.
Formulation and validation of Candesartan cilexetil-loaded nanosuspension to enhance solubility
Authors: Al-Edresi Sarmad , Albo Hamrah Karrar , Al-Shaibani Abulfadhel
Published: March 2024

The following research aimed to enhance solubility by loading candesartan cilexetil into nanosuspension. Candesartan cilexetil-loaded nanosuspension was prepared with the aid of Design-Expert® software. A technique of solvent evaporation was employed to produce nanosuspensions from hydroxyl propyl methyl cellulose (HPMC E5), polyvinyl pyrrolidone (PVP K-30), and poloxamer (PXM 188). The optimised nanosuspensions’ particle size and polydispersity index (PDI) were 64.65 nm and 0.059, respectively. The entrapment efficacy (EE %) and drug loading (DL %) were 86.75 and 10.17%, respectively. The atomic force microscopy (AFM) revealed spherical and smooth nanoparticles. The Fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC) revealed pure, crystalline and conjugated drugs inside the nanosuspension. The release study confirmed 90% release within 10 min. No significant changes in particle sizes over three months were found, indicating stable nanoparticles. Saturated solubility of the candesartan cilexetil powder and loaded nanosuspension was 63.3 ± 6 and 344.7 ± 16 µg.ml-1, respectively, revealing more than five times increase in solubility. Candesartan cilexetil-loaded nanosuspensions were successfully prepared using different combinations of PVP K-30, HPMC E-5 and PXM 188 in various concentrations. Solubility was enhanced by loading the payload into nanosuspensions.
Circularity and environmental impact of edible insects
Authors: Smetana Sergiy
Published: March 2024

Insect production has an environmental impact. However, the use of organic waste in insect feeding can mitigate the impact and even result in environmentally positive scenarios. The two potential effects are waste reduction and return of nutrients to food systems in the form of fertilisers, feed and food. While waste reduction by insects is being assessed, the potential of insects for nutrient circularity has thus far been poorly analysed. The current publication provides an insight into the scarce cases of circularity potential assessment (as a part of life cycle assessment) of insects and the methodological approaches that can be further developed to ensure the recycling potential of insect production systems, relying on organic waste.
The impact of social financing structures on different industry sectors: A new perspective based on time-varying and high-dimensional methods
Authors: Wu Xianghua , Li Hongming , Jiang Yuanying
Published: March 2024

With the continuous innovation of financial instruments, the financing structure presents a diversified development trend, and the proportion of direct financing in Aggregate Financing to the Real Economy (AFRE) has been increasing. We utilized monthly data from January 2002 to March 2023 to establish a time-varying spillover index model and a large TVP-VAR model in order to investigate the dynamic impact of the social financing structure on various industry sectors. The empirical results suggested that the impact of financing structure on different industry sectors varies. Direct financing had the least impact on the industry compared to on-balance-sheet financing and off-balance-sheet financing. Lagging effects had the most significant influence on all industries. Furthermore, since 2015, the impact of different industries on the proportion of direct financing has significantly changed, indicating that the impact of direct financing on different industries became apparent during the 'stock crash'. Moreover, the impact of different financing methods on the economic development of various industry sectors was susceptible to external events, and the degree of impact varied. Our results are useful in helping policy makers better understand the changes in different industries affected by the financing structure, which can inform their policy formulation.
Impacts of Social Media Experiences on Academically Related Peer Influence and Fear of Missing Out of Secondary and High School Students
Authors: Ngo Thi Thuy An , Nguyen Ngoc Thien An , La Uyen Nhu , Truong Dong Nhi , Nguyen Hoang Quoc Bao
Published: March 2024

Adolescents nowadays experience significant mental and behavioral changes, largely influenced by the pervasive use of social media, the rise in peer influence, and the fear of missing out (FoMO). However, many crucial questions regarding the relationships between social media, peer influence, and FoMO remain unanswered. Therefore, this study was conducted to explore the interconnections among social media processes, FoMO, and peer influence among secondary and high school students, with a specific focus on posts sharing academic achievements or experiences among peers. The research employed a quantitative approach, using a 5-point Likert scale questionnaire to collect data via an online survey. A total of 419 valid samples were collected and analyzed using factor analyses and structural equation modeling (SEM). The findings revealed that certain social media experience processes, namely online peer norms and novel peer experiences, significantly influenced both peer influence and FoMO. While online peer norms affected both phenomena, novel peer experiences only had an impact on peer influence. Moreover, FoMO played a mediating role in the relationship between social media experience and peer influence. Based on these findings, the study proposes solutions to optimize the impact of social media on adolescents. Gaining insights into the dynamics of social media processes, FoMO, and peer influence can enhance support for adolescents’ mental well-being and address challenges in the digital age.
Barriers Hindering Digital Transformation in SMEs
Authors: Pujari Siva Kumar , Saha Saibal Kumar
Published: March 2024

The chapter aims to find interdependencies between barriers that hinder adoption of digital transformation technologies in small and medium firms. Barriers were identified using an extensive literature review and finalized after consulting an expert panel. Next, a pairwise questionnaire was developed, and responses from essential stakeholders working with small and medium firms were collected. Data were analyzed using the DEMATEL technique. Salient challenges for implementing digital transformation technologies were identified, and the cause-and-effect relationship between the barriers was established. Lack of proper digital vision and strategy was identified as the most critical barrier that hinders adoption of digital transformation technologies in small and medium firms. Digital technologies help to improve the efficiency of the firms and improve resource utilization by facilitating timely and accurate decision making. Hence, overcoming the identified challenges in transformation will improve the operations of the production system and organizational process.
Application of Fireworks Algorithm in Bioinformatics
Authors: Zhang Yuchen , Lei Xiujuan , Tan Ying
Published: March 2024

Fireworks Algorithm (FWA) has been applied to many fields in recent years, showing a strong ability to solve optimization problems. In this chapter, FWA is applied to some research hotspots in bioinformatics, such as biclustering of gene expression data, disease-gene prediction, and identification of LncRNA-protein interactions. This chapter briefly introduces some backgrounds of bioinformatics and related issues. Through corresponding bioinformatics' problems to optimization problems, some specific optimization functions are constructed and solved by the Fireworks Algorithm. The simulation results illustrate that the fireworks algorithm shows high performance and potential application value in the field of bioinformatics.
Applications of Machine Learning Models With Medical Images and Omics Technologies in Diabetes Detection
Authors: Jain Chakresh Kumar , Kulshreshtha Aishani , Agarwal Avinav , Saxena Harshita , Tripathi Pankaj Kumar , Kaushik Prashant
Published: March 2024

Diabetes mellitus is a long-term condition characterized by hyperglycaemia resulting in the emergence of a variety of health problems, such as diabetic retinopathy, kidney failure, dental problems, heart disease, nerve damage, etc.; and is governed by several factors, i.e. biological, genetics, food habits, sedentary lifestyle choices, poor diets and environments, etc. According to the recent morbidity figures, the global diabetic patient population is anticipated to reach 642 million by 2040, implying that one out of every ten people will be diabetic. The data generation and AI based methods—i.e., SVM, kNN, decision tree, Baysian method in medical health –have facilitated the effective prediction and classification of voluminous size of biological data of different types of BMI, skin thickness, glucose, age, tongue and retinal images apart from Omics data, for early diagnostics. The chapter summarizes the basic methods and applications of machine learning and soft computing techniques for diabetes diagnosis and prediction with limitations of integrative approaches.
Data Stewards, Curators, and Experts
Authors: Oxley Peter R. , Ben Maamar Sarah , Wheeler Terrie
Published: March 2024

Research data management practices continue to evolve as data become more connected, distributed, granular, and continuous. While keeping their mandate to serve the academic community, libraries are seeking to foster knowledge creation, learning, and information access in an ever more data-driven and online environment. In this chapter, the authors describe their perspectives that shape the library's mandate, roles, and technology. They detail specific roles that have been created to foster data engagement: a secure enclave data core, an institutional data catalog, scientific software management, bioinformatics and research reproducibility support, data integrity, and community engagement. A constant focus on customer service has shaped each role, built the library's reputation, and contributed to high-impact services.
Gene Editing and Gene Therapies in Cancer Treatment
Authors: Tripathi Gyanendra , Faiyaz Maryam , Hasan Ziaul , Khanam Afreen , Husain Arbab
Published: March 2024

In past years, several novel treatments have been given by gene therapies for the treatment of cancer. Gene-based therapeutic approaches include gene transfer, oncolytic virotherapy, and immunotherapy. Gene Transfer or gene editing is the most recent treatment method that allows the insertion of new genes into the cancer cell to mediate the slow growth or death of the cancerous cell. Gene transfer is a very flexible technique, and a wide range of genes and vectors are being used in clinical trials with positive results. CRISPR/Cas9 is found to be a promising technology in cancer research. It helps to dissect the mechanism of tumorigenesis, identify the target for drug development, and helps in the cell-based therapies. Oncology virotherapy uses viral particles that are capable of replicating within the cancer cell and results in cell death. Oncology virotherapy has shown great efficiency in metastatic cancer. In immunotherapy, cells and viral particles are genetically modified before being introduced within the patient's body to trigger the host immune response to destroy cancer cells.
Homology Modeling and Binding Site Analysis of SARS-CoV-2 (COVID-19) Main Protease 3D Structure
Authors: Adebiyi Marion Olubunmi , Obagbuwa Ibidun Christiana
Published: March 2024

The severe acute respiratory syndrome coronavirus 2 (SAR-Cov-2) caused the coronavirus (COVID-19) pandemic. The global concern is the discovery of a new target drug for the total cure. Recently, some research showed that a few COVID-19 enzymes may have been contemplated to be potential drug targets, but not much is known about its structural biology. This research investigates the 3-D structure of protease SAR-CoV-2. The tertiary structure was determined by homology modeling. The Swiss-Model workspace and the basic local alignment search tool (BLAST) were employed for modeling, and the resulted model was validated with programs that include PROCHECK, Verify3D, and QMEAN to ascertain reliability. To establish the structures that fitted, HHBlits software was employed. To verify the structure quality, a Ramachandran plot was exploited. The binding site was determined using CASTp and DeepSite algorithms, which showed that this protein can be exploited as a prospective pharmaceutical target. Albeit further experimentation is required as a COVID-19 virus vaccine-design/target-drug.
Importance of Information Working With Colon Cancer Research
Authors: Lu Zhongyu , Xu Qiang , Al-Rajab Murad , Chiazor Lamogha
Published: March 2024

Modern science helps us to understand the changing world around us, across fields such as biology, computer science, mathematics, statistics, chemistry, computational biology, biotechnology, biochemistry, and many others. An important branch of science that has had a large impact on the medical field is bioinformatics. This chapter introduces the importance of information science into colon cancer research. According to the American Cancer Association, in the United States in 2018, 97,220 new cases of colon cancer (CC) were identified. The research into this topic area is an immediate need to save many lives and improve people's living standards.
In Silico Models on Algal Cultivation and Processing
Authors: Hassan Lamiaa H. , Ahmad Imran , Sheekh Mostafa El , Abdullah Norhayati
Published: March 2024

In modern system-level metabolic engineering, genome-wide metabolic reconstructions are used as a systems-based framework for integrating and analyzing large “omics” data sets as well as for assessing cell design molecular and bioinformatics approach “in silico”. Microalgae growth processes are based on the concurrent interaction of micronutrients (Mg, Fe, Zn, etc.), macronutrients (N, C, P), and environmental parameters (temperature and light). Blackbox models or macroscopic models give the reliable interrelationship amidst the growth kinetics of microalgae and its potential of lipid and starch accumulation in response to any of the growth restraining factors. This chapter provides an insight into the different in silico models for the growth and cultivation of microalgae. Various factors such as light intensity/distribution, the temperature during cultivation, and nutrient concentration are considered. The chapter also summarises the role of different photobioreactors (PBRs) in optimising algae-based products using genome-scale models.
Structural and Functional Data Processing in Bio-Computing and Deep Learning
Authors: S. Karthigai Selvi
Published: March 2024

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.
A Meta-Analysis of the Effect of Interactive Technologies on Language Education
Authors: He Runtong , Xu Wei , Dong De , Yu Zhonggen
Published: March 2024

With the enhancement of internet medium and development of science and technology, interactive technologies have gradually emerged in the field of language education. However, previous empirical studies and meta-analyses have focused on the impact of specific types of technologies. Therefore, this study aims to comprehensively synthesize the effect of overall interactive technologies on language education through meta-analysis. The results revealed that interactive technologies could exert a substantial influence on learning attitudes, self-efficacy, listening, reading, writing skills, vocabulary and grammar level, and overall learning outcomes. Additionally, numerous types of interactive technologies have demonstrated potential in language education, such as mobile apps, multimedia, technology-assisted tools, etc. In future research, educators should judiciously apply interactive technologies to different language educational processes according to their unique features, and researchers should expand their survey scope to ensure data validity.
Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management
Authors: Huang Yijing , Vakharia Vinay
Published: March 2024

This study explores the potential application of deep learning techniques in stock market prediction and investment decision-making. The authors used multi-temporary stock data (MTS) for effective multi-scale feature extraction in reverse cross attention (RCA), combined with improved whale optimization algorithm (IWOA) to select the optimal parameters for the bidirectional long short-term memory network (BiLSTM) and constructed an innovative RCA-BiLSTM stock intelligent trend prediction model. At the same time, a complete RCA-BiLSTM-DQN stock intelligent prediction and investment model was established by combining the deep Q network (DQN) investment strategy. The research results indicate that the model has excellent sequence modeling and decision learning capabilities, which can capture the nonlinear characteristics and complex correlations of the market and provide more accurate prediction results. It can continuously improve the robustness and stability of the model through adaptive learning and automatic optimization.
Comfort Properties and Antimicrobial Activity of Cotton and Nylon/PU Knits Treated with Microcapsules Containing Sea Buckthorn Oil
Authors: Sarmandakh Badmaanyambuu , Yi Eunjou
Published: March 2024

This study was performed to investigate comfort properties and antimicrobial activity of cotton and nylon knits treated with microcapsules containing sea buckthorn fruit oil reported as having antimicrobial efficacy depending on concentration of microcapsules and treatment types. Chitosan-arabic gum microcapsules containing sea buckthorn fruit oil were prepared and they were treated on cotton and nylon/PU knit respectively by an experimental design of 2 different treatment types (bath immersion method and screen printing method) Χ 5 different concentration levels of microcapsules (20, 30, 40, 50, and 60% on the weight of fabric). As comfort properties, stiffness, water-vapor permeability, and air permeability were measured objectively. Antimicrobial activity was evaluated by calculating the percentage reduction of the bacterium. As results, stiffness values of the treated knits were slightly higher than those of untreated ones, which was thought not to affect touch in wear. The values of water-vapor permeability and air permeability of both cotton and nylon after the treatment were not significantly decreased. These results means that microcapsules loaded on the knits might not worsen their wear comfort. As for antimicrobial activity, more than 90% of bacterial reduction rates against S. Aureus were shown in cotton jersey by screen printing even after repeated laundry while those was found in nylon/PU tricot by bath immersion. From these results, it was concluded that chitosan-arabic gum microcapsule containing sea buckthorn fruit oil could be utilized for textiles to provide antimicrobial activity.
Novel Knit Structure with Adjustable Tensile Behaviour Based on Combined Weft/Warp Technology
Authors: Hellmann Sven , Sachse Carmen , Häntzsche Eric , Cherif Chokri
Published: March 2024

Weft-knitted fabrics are used in a wide range of applications. The tensile behaviour, the geometric diversity and the materials to be used are essential structural parameters that are also economically important. To improve this behaviour, the new approach is to integrate warp-stitch threads into a weft-knitted fabric using conventional weft-knitting machine technology, thus significantly increasing the range of binding possibilities for the adjustment of elasticity in wale direction. The characteristics that can be achieved in this way open up new areas of application, for example in compression textiles.
Analysis of main components of Lake Toba’s water quality in different seasons
Authors: Hastuti Yuni Puji , Nirmala Kukuh , Hutagaol Manuntun Parulian , Tanjung Dahri , Kriswantriyono Agit , Nurussalam Wildan , Wulandari Yulia Puspadewi , Fatma Yuli Siti
Published: March 2024

Lake Toba is one of the largest lakes in North Sumatra Province, Indonesia. Its waters are used for multiple purposes, constituting an important natural and economic resource. Most of the waters of Lake Toba come from the overflow of disposal of agriculture, livestock, fisheries, tourism, households, and other activities. The present study identified water quality based on total nitrogen, total phosphorus, chlorophyll-a and other water quality parameters carried out at 60 sampling sites grouped into 6 observation stations, i.e., control areas (located in the middle and far from direct activities), community floating net cages, company floating net cages, settlement, hospitality, and river mouths. The main water quality components were very dynamic at the monitoring stations in three seasons (rainy, transition, and dry). Total nitrogen concentration tended to be higher in the rainy season than in the transition and dry seasons. However, all stations tended to be classified as mesotrophic or higher in all seasons, with total nitrogen concentrations greater than 12.5 mg L–1. Total phosphorus at the six stations was highly dynamic in all seasons and tended to decrease in the dry season. The concentration of total phosphorus was higher at the settlement and hospitality stations than at the other stations. The total phosphorus of the settlement and hospitality stations reached 0.18 mg L–1 and 0.17 mg L–1, respectively, in the rainy season. In general, total phosphorus concentrations in the waters of Lake Toba were above 0.1 mg L–1, which allowed the lake to be classified as above mesotrophic status.
The diagnostic procedure for subjects with suspected pulmonary embolism. A recent comparison among the recommendations available from the international guidelines
Authors: Palareti Gualtiero
Published: March 2024

Acute pulmonary embolism (PE) is a common and potentially life-threatening disease characterized by the occlusion of arterial lung vasculature, typically due to thrombi traveling from a thrombotic vein in the lower limb. Several guidelines have been proposed worldwide to assist clinicians in its diagnosis, however, they are not consistent on the usage of diagnostic tools. This commentary reviews the literature and discusses the concordance/discordance between these international guidelines on PE diagnosis.
Qualitative characteristics of sheep’s and goat's milk in Albania
Authors: Maçi Renis , Xhafa Artan , Arndt Christoph
Published: March 2024

Cost-effective methods are crucial in small-scale operations to assess the physicochemical properties of milk, identify potential clinical or subclinical mastitis, and test β-lactams in small ruminants. The aim was to evaluate the importance of physicochemical characteristics, somatic cells, and antibacterial substances as factors for monitoring the quality and safety of bulk tank milk from sheep and goats. Furthermore, we aimed to elucidate the influence of grazing capacity on the composition of sheep's milk. The fat content of sheep's milk (n=119) was found to be 7.7%, with a range of 5.3% to 9.9%. The average fat content of dairy goats (n=33) was found to be 4.9%, with a range of 2.8-6.7%. The results indicate that 2.8% of sheep milk samples and 7.8% of goat milk samples exhibited clear positive reactions when assessed using the California mastitis test. β-lactam antibiotics were present in 0.7% of sheep milk samples, but not in any of the goat milk samples using lateral flow strips. This measurement method can be useful to detect adulterated milk and better understand the quality and safety of small ruminant milk before processing.
Test Method for the Determination of Total Acidity in Polyol Ester and Diester Gas Turbine Lubricants by Automatic Potentiometric Titration
Authors:   E-34 Propulsion Lubricants Committee
Published: March 2024

The test method describes the procedure for determination of the total acid number (TAN) of new and degraded polyol ester and diester-based gas turbine lubricants by the potentiometric titration technique. The method was validated to cover an acidity range of 0.05 to 6.0 mg KOH g-1. The method may also be suitable for the determination of acidities outside of this range and for other classes of lubricants.
World Manufacturer Identifier
Authors:   VIN - WMI Technical Committee
Published: March 2024

This SAE Recommended Practice establishes procedure for the issuance and assignment of a World Manufacturer Identifier (WMI) on a uniform basis to vehicle manufacturers who may desire to incorporate it in their Vehicle Identification Numbers (VIN). This recommended practice is intended to be used in conjunction with the recommendations for VIN systems described in SAE J853, J187, J272, and other SAE reports for VIN systems.

These procedures were developed to assist in identifying the vehicle as to its point of origin. It was felt that review and coordination of the WMI by a single organization would avoid duplication of manufacturer identifiers and assist in the identification of vehicles by agencies such as those concerned with motor vehicle titling and registration, law enforcement, and theft recovery.
APPLICATION PROBLEM-SOLVING LEARNING MODEL TO IMPROVE SCIENCE LEARNING OUTCOMES IN STUDENTS CLASS IV ELEMENTARY SCHOOL GMIM 7 TOMOHON
Authors: Manggribeth Stacy N. , Rindengan Mersty , Palendeng Francisca G. , Rorimpandey Widdy H. F.
Published: March 2024

The research was conducted to improve science learning outcomes for fourth-grade students at GMIM 7 Tomohon Elementary School in the academic year 2022/2023, with a total of 33 students. This study used classroom action research (CAR) with four stages: planning, action implementation, observation, and reflection, which were applied in two cycles. In this study, observations and assessments were conducted by asking all students a series of written questions using Student Worksheets and Assessment Sheets. The data were analyzed using percentage calculations and the average learning outcomes achieved by the students. The initial data obtained showed that the students' science learning outcomes were 60%. The research results showed that the students' science learning outcomes experienced a significant improvement after implementing the problem-solving learning model. In Cycle I, there was an increase in learning outcomes to 70.15%. In Cycle II, the learning outcomes reached 90%. This research provides evidence of consistent improvement in the student's science learning outcomes from Cycle I to Cycle II. Based on the research findings and discussions, implementing the Problem-Solving learning model will improve the science learning outcomes of fourth-grade students at GMIM 7 Tomohon Elementary School. This research provides evidence of consistent improvement in the student's science learning outcomes from Cycle I to Cycle II. Based on the research findings and discussions, implementing the Problem-Solving learning model improves the science learning outcomes of fourth-grade students at GMIM 7 Tomohon Elementary School. This research provides evidence of consistent improvement in the student's science learning outcomes from Cycle I to Cycle II. Based on the research findings and discussions, implementing the Problem-Solving learning model improves the science learning outcomes of fourth-grade students at GMIM 7 Tomohon Elementary School.