bluuebunny/crossref_metadata_2025 huggingface dataset:
Successful Practices in Developing a Professional Partnership in the Nursery/Kindergarten-Family-Community Triad
Authors: Iurea Corina
Published: January 2024

The study aims to present a series of resources for coherent and effective practices in order to establish a positive relationship between educational actors: family and educators. Teachers will find arguments in favour of the need to create a unity of action between teacher and parents and the importance of the partnership between daycare/kindergarten and family, a professional partnership based on trust, respect, knowledge and communication. For this partnership to become tangible, it is necessary for the adult - whether educator or parent - to internalise this, to be constantly informed and to exploit all human, material, and financial resources available in educational practice.
The Workaholism and Psychological Exhaustion of Educators
Authors: Ghiță Iulia Adelina
Published: January 2024

The primary purpose of the addressed theme is to present an updated perspective on the tendency of excessive work, including the definition, causes, and effects of burnout on teachers, according to studies published in the specialized literature. The topic discussed in this context focuses on workaholism and psychological exhaustion among preschool educational staff. Workaholism refers to an obsessive preoccupation with work, often leading to an overly high investment of time and energy. Preschool educators may exhibit this attitude due to myriad pressures and demands associated with their profession, including tasks such as lesson preparation, addressing interpersonal conflicts among children, managing classroom dynamics, and engaging with various educational stakeholders. As workaholism persists, it can lead to the psychological exhaustion of teaching staff. This exhaustion is manifested through a constant lack of motivation, decreased professional performance, and even symptoms of depression.
Opportunities and Challenges of Marketing 5.0
Authors: Movahed Ali Bakhshi , Movahed Aminmasoud Bakhshi , Nozari Hamed
Published: January 2024

The fifth generation of marketing is Marketing 5.0 (M 5.0). In this chapter, the opportunities and challenges of M 5.0 are defined. The main factors of M 5.0 are humans, culture, and technology. M 5.0 and business have a close connection to each other. M 5.0 is important based on creating content planning, brand awareness, and predictive marketing and has some applications in the business. The evolution of M 5.0 is defined as a long journey in marketing history. For highlighting the fifth generation of marketing, other elements of the same generation of M 5.0 such as marketing personalization and the creation of a magnificent feeling for customers are stated too. As a classic insight, exploring the challenges and opportunities is important. Finding opportunities and challenges is an attractive topic to help top management. After reviewing the literature and data analysis, finally, four opportunities and four challenges were selected with the Delphi method.
Smart Interactive Marketing Based on Internet of Things
Authors: Hasanzadeh Mohanna
Published: January 2024

In today's world and with the development of advanced industrial generations, the internet of things as an epidemic technology has caused a huge change and transformation in all aspects of daily life, including business. This technology has affected all dimensions and components of the organization's value chain, and a new concept called intelligent and interactive marketing based on the internet of things has also been formed. Considering the importance of sales and marketing in the organization's supply chain, it is necessary to understand the dimensions and components of this type of marketing. The internet of things is one of the most important sources of big data production from marketing processes and it seems that businesses' emphasis on this type of marketing can guarantee business growth.
Quantum Computing for IoT Security
Authors: Tripathy B. K. , Goel Sarthak , Guha Anamika
Published: January 2024

As we approach Web 4.0, which relates to the uprising of internet of things (IoT)-enabled smart manufacturing devices that serve as data generator devices for companies, the responsibility of managing and securing this data is an overhead. Since the data can contain sensitive information, it is vulnerable to cyber-attacks. As advanced encryption-decryption cryptography algorithms are deficient to handle the situation, the uprising of quantum computing is making today's security mechanisms imperiled. Therefore, a quantum wall (QW) needs to be deployed for key generation which can resist potential attacks. Quantum-inspired IoT (QIoT) implies harnessing power imparted by quantum computing (QC) to secure IoT applications. It promises secure management of data throughout its life cycle. This chapter summarizes the recent relevant work conducted in this domain by conducting an intensive literature review around IoT, security implications, and how QC is making an impact in mitigating the cyber risks involved in data transfers in IoT.
Forensic Science
Authors: Mahanta Kshyamasagar , Maringanti Hima Bindu
Published: January 2024

Forensic science is an integral component of the justice system, providing reliable scientific evidence that establishes facts and circumstances in criminal cases. This chapter explores the historical development and transformation of forensic science into a recognized discipline, highlighting its crucial role in various fields such as DNA profiling, forensic pathology, digital forensics, forensic psychology, forensic anthropology, forensic entomology, and forensic toxicology. The chapter also discusses the use of digital forensics in cybercrime investigations, behavioral analysis in forensic psychology, and the estimation of time and location of death through forensic entomology. Furthermore, it emphasizes the significance of forensic science in rectifying wrongful convictions and addresses challenges. By recognizing the importance of continuous improvement and ethical practices, this chapter underscores the vital role of forensic science in ensuring better justice delivery.
Gut Microbiota and Artificial Intelligence
Authors: Nallappan Devi , Kanathasan Jayasree S. , Poddar Sandeep , Ware Andrew
Published: January 2024

The gut microbiota is a potentially modifiable risk factor for various health complications. Therefore, advanced techniques are warranted to understand the relationship between gut microbiota, disease, and clinical relevance. This chapter focuses on the emerging application of artificial intelligence (AI) techniques in the studies of gut microbiota. It opens with a discussion on the role of gut microbiota in health, mentions an overview of AI techniques, and provides information on the application of AI in the study of the gut microbiome and its role in the diagnosis and treatment of diseases. It also gives a glimpse into the challenges and future direction of artificial intelligence in gut microbiome research. The chapter provides new insights into the extraordinary applications of AI in the study of the gut microbiome.
Mathematical Simulation to Correlate Sustainable and Lean Manufacturing
Authors: Sanchez Corona Ana Laura , Herrera Manuel Guzmán , Román Daniel Barrera , Toxqui Cicerón González , Vargas Bernal Olivia Yesenia , Robledo Verónica Arrendando , Badilla Gustavo Lopez
Published: January 2024

A mathematical simulation was developed with the regression and statistical correlation method with which an evaluation of the sustainable practice relationship in manufacturing processes of industries located in the city of Mexicali was developed, with the objective of determining, through a mathematical model, the levels of statistical estimation, carried out in 14 industrial companies of various types of industrial activities. In this analysis, a mathematical equation was obtained with a confidence level of 85℅ (r2=0.85) to estimate this parameter in the future and in the case of loss of numerical data, to be able to recover them.
Smart Patient Monitoring Module Using Intelligent Technologies-Supported Wireless Application
Authors: Kanna R. Kishore
Published: January 2024

The study focuses on creating an IoT gateway-backed WSN architecture for healthcare monitoring application. The intended users are elderly persons living alone at home and hospitalized patients. The physiological signs to be watched include body temperature, heart rate, and saturation oxygen (SpO2) level. The postural activity monitoring is carried out by obtaining data from 3-axis accelerometer. The IoT gateway functions as a bridge device that facilitates data flow between WSN and internet server.
Lightweight Cryptography for Cyber-Physical Systems
Authors: Datta Agni , Srivastav Aditya , Murugan Thangavel
Published: January 2024

Cyber-physical systems (CPS) are the next generation of intelligent systems that combine the inherent and comprehensive embedding of communication and control technologies to integrate computational resources with hardware facilities. The CPS modules are more vulnerable to an attacker, raising the possibility of physical attacks that might compromise security. For the implementation of lightweight cryptography in CPS, difficulties generally include finding a balance between industrial requirements and publicly available research data. Lightweight cryptographic primitives have a smaller footprint than traditional cryptographic primitives. Lightweight cryptographic techniques are required in the CPS paradigm to minimize latency and resources. Lightweight ciphers' performance advantages include reduced block and key lengths, along with simplified key scheduling. This chapter examines the usage of lightweight cryptography in cyber-physical systems.
The Emerging Advancement of Robotics in the Modern Agriculture Field
Authors: Barua Ranjit , Bhowmik Sumit , Banerjee Arindam , Banerjee Debasish
Published: January 2024

Agricultural robots play a unique role in the development of digital agriculture and offer a variety of benefits to farming productivity. Since the first industrial robots were developed in the 1950s, both science and business have started to pay attention to robotics. Agricultural robots have rapidly evolved as a result of recent developments in computer science, sensing, and control methods, relying on a variety of cutting-edge technologies for a variety of application scenarios. In fact, combining strategies for observation, decision-making, control, and execution has resulted in considerable advancements. However, because they are not integrated with artificial intelligence, the majority of agricultural robots still require intelligence solutions, confining them to limited applications with low volume production. The authors analyse the advantages and difficulties associated with future applications in the present moment as they bring together various agricultural robot research statuses and applications.
Potential Growth of Artificial Intelligence (AI) and Internet of Things (IoT) in Agriculture
Authors: Waqas Muhammad M. , Muthaminnah Muthaminnah , Ahmad Tanveer
Published: January 2024

The integration of AI and IoT in agriculture has sparked a transformative revolution in conventional farming practices. This abstract underscores the profound impact of AI and IoT technologies in the agricultural domain, emphasizing their pivotal role in enhancing productivity, optimizing resources, and driving sustainability. The symbiosis between AI and IoT has unlocked a multitude of opportunities in agriculture. By deploying IoT sensors, drones, and smart devices across agricultural landscapes, real-time data on soil conditions, weather patterns, and crop health can be meticulously collected and seamlessly transmitted. AI algorithms then process this data, empowering farmers to make well-informed decisions and fine-tune agricultural operations with unparalleled precision. Precision agriculture emerges as a transformative application of AI and IoT in farming. Through AI-powered analytics, farmers can optimize resource allocation, precisely administer water, fertilizers, and pesticides, thereby minimizing wastage.
Study on Aerial Monitoring System in Agriculture, Forestry, Defense, and Border Protection Using Artificial Intelligence (AI)
Authors: Arya Leena , Rastogi Ravi
Published: January 2024

In recent years, AI-enabled aerial sensing has become an essential tool for agriculture, forestry, defense, and border protection agencies. This technology includes using unmanned aerial vehicles (UAVs), or drones, equipped with sensors and AI algorithms to collect and analyze real-time data. UAVs can monitor border regions for illegal activity, like smuggling or unlawful border crossings. AI algorithm people and the data collected by UAVs to detect and classify objects, such as vehicles or people, and identify suspicious behavior. This study explores the application of aerial monitoring systems integrated with artificial intelligence (AI) in agriculture, forestry, defense, and border protection. With the increasing need for efficient surveillance and security measures, the utilization of AI-driven aerial monitoring systems has gained significant attention. Overall, AI-enabled aerial sensing has the potential to revolutionize agriculture, forestry, defense, and border protection by providing real-time situational awareness and improving response times.
Cyber Security for Internet of Things (IoT) Devices and Sensors
Authors: Qamar Roheen , Zardari Baqar Ali , Khang Alex
Published: January 2024

Traditionally, only mobile phones and laptops were connected to the internet, but with the development of new technologies, additional items such as security cameras, microwaves, automobiles, and industrial equipment are now connected to the internet. The internet of things refers to this network of things. This chapter highlights the need to reduce IoT security issues. Cloning of devices and exposure of sensitive data. The internet of things (IoT) is emerging as a strong arena in which embedded devices and sensors may connect and exchange data through the Internet. The IoT refers to the integration of sensors and actuators as a method of regulating cyber-physical systems in resource networks. However, the internet connectivity of much standalone IoT equipment creates several cybersecurity issues since sensitive information is vulnerable to malevolent users.
An Advanced Cybersecurity Model for High-Tech Farming Using Machine Learning Approach
Authors: Kuppusamy Palanivel , Khang Alex
Published: January 2024

The need for agricultural and food goods has dramatically expanded due to the rapid population growth. Agriculture's reliance on older technologies has rendered them outmoded and unable to meet demand. Agricultural goods' quantity and quality can be improved by integrating data-driven and sensor technology into the agriculture and food production sectors. Nevertheless, it might increase cyber dangers and make the farming environment worse. As a result of cyberattacks, consumers may consume unsafely, and the economy may suffer. Attackers may operate remotely and deed on-field sensors and entirely self-directed vehicles. The motivation of this chapter is to study various cyber-attacks in the smart farming ecosystem and propose a real-time cybersecurity model for a multi-cloud-based hi-tech farming system.
Analysis on Wireless Technologies and Application of Sensors in the Agriculture Sector
Authors: Nidhya M. S. , Akhila P.
Published: January 2024

Sensors are applied in various fields and can be used in everyday life. Sensors are devices which monitor the environment or collect the data and react based on the constraint which was specified. In many fields the application of sensors are tremendous. It checks the gas, heat, temperature, flow of fuel, velocity, grip, and so on. The same set of sensors can also be applied in the medical field to find temperature, blood pressure, and control the flow of medicine to the patient remotely. Using sensors, we can protect a building and living area from the fire or any disasters. In this chapter the authors analysed wireless technologies used by sensors and number of sensors applied in various field like agriculture, industry and day to day life. The importance of sensors is also discussed.
Nutritional, anti-nutritional, and sensory properties of cowpea hull-enriched Gari
Authors: Olawuyi I. F. , Olapade G. M. , Karim O. R. , Abiodun O. A. , Salami K. O. , Akintayo O. A.
Published: January 2024

In continuous search for solutions to malnutrition, mainly prevalent among the people of developing countries, various views have been expressed regarding the necessity to improve the nutritional quality of indigenous foods such as gari through better processing and enrichment with cheap and readily available plant materials such as cowpea hull. Gari was produced using the traditional method and enriched with freshly produced cowpea hull in dry form to improve the nutritional composition. The objective of this study was to determine the effect of stages of inclusion of cowpea hull on some quality attributes of gari. Factorial design of 2 stages of inclusion (before and after fermentation) with 4 levels (0 %, 3 %, 5 % and 7 %) of cowpea hull treatments and standard methods were used to analyze the enriched gari (EG). The results of the proximate analysis of gari revealed that as inclusion level increases crude fibre, ash and crude protein contents increased in the fermented EG. Enrichment caused a significant (p<0.05) increase in the minerals and the amino acid profile compared to the control while fermentation caused a significant increase in vitamins content of EG. The titratable acidity of the EG may be linked to the increase in amino acid content of the samples, and pH ranged from 3.87 to 3.99. Fermentation of the cowpea hulls with cassava mash significantly enhanced the sensory characteristics and make them acceptable than their unfermented counterpart. Based on the results, it is recommended to enrich gari by incorporating 7% cowpea hull that have undergone fermentation with cassava mash.
A Systematic Literature Review to Develop a Conceptual Model to Assess Farmers' Sustainable Agriculture Potential for Organic Use in Rice Cultivation in Sri Lanka
Authors: Ariyarathna S. M. W. P. K. , Madurapperuma M. W.
Published: January 2024

The researcher found a timely need to assess Sri Lankan Rice Farmers' Sustainable Agriculture (SA) potential, their readiness to adopt more organic-centric farming, and the institutional help they receive for such adoption. Since no straightforward assessment method has been found in the literature, this paper describes how the researcher developed a conceptual framework and suggests indicators to explain the constructs for such an assessment. The conceptual model and indicators are drawn through a systematic literature review. The systematic literature review helped to find a set of credible and relevant articles for the study and provided a structured way of extracting usable findings for this study. Resilience theory (RT) properties are the foundation selected to develop the conceptual framework combined with the Rural Livelihood Assessment Framework (RLAF). The previous research findings of SA studies show that capital assets described in RLAF, Human, Social, Financial, Physical, and Natural, would adequately explain farmers' SA potentials. The suggestions from RT on ecosystem resilience can describe the farmer's predictive behaviours in this transitioning ecosystem. The researcher believes this conceptual combination is adequate to explore the unknowns mentioned in the study's objective. Also, the literature provides insights to develop an indicator framework which will guide the development of a research instrument explaining the latent constructs of the model in future research.
Does online community engagement and online community experience play a role in value co-creation at Jenius BTPN bank?
Authors: Naomi P. , Cahyati N.
Published: January 2024

Jenius BTPN is one of the many digital banking resources in Indonesia. This study investigates the effect of online community experience and online community engagement on value co-creation at Jenius BTPN Bank. The sample for this research comprises Jenius customers who join the Jenius online community and follow Jenius BTPN on Instagram @jeniusconect. The number of respondents in this study was 101, and data collection used online questionnaires. Data analysis was performed using regression and path analysis. The results of this study indicate that Jenius’s co-creation is still in the idea-creation stage of value co-creation within the progression levels of ideas, brand advertisement, and products. Testing for this study’s hypothesis reveals that: 1) Online community experience and online community engagement variables have a significant effect on value co-creation, and 2) Online community engagement strengthens the influence of online community experience on value co-creation.
Moderating effect of board independence on the determinants of financial performance in listed non-financial companies of Colombo Stock Exchange
Authors: Kumari J. S.
Published: January 2024

The overarching objective of every business organization is to maximize stakeholder wealth, but various financial constraints can hinder this goal. This study mainly focuses on examining the moderating effect of board independence on the determinants of the financial performance of listed non-financial companies in the Colombo Stock Exchange. There is a lack of research on the factors that determine financial performance at both the national and international levels. Further, there is a dearth of studies related to the moderating effect of board independence on the determinants of financial performance. The present study applied the quantitative approach. This study investigates the relationship between the Quick ratio, Total Assets turnover ratio, Leverage, and Growth in sales as independent variables and their impact on Financial Performance as the dependent variable. Additionally, the study incorporates board independence as the moderating variable. Financial performance is measured using Return on Assets (ROA). The study's population comprises listed non-financial companies on the Colombo Stock Exchange and data was collected from the top 100 companies with the highest market capitalization during the latest period spanning 2020 to 2022, descriptive statistics, correlation analysis, and regression analysis were used to analyze the data. This study has observed that total asset turnover and growth in sales have a positive and significant relationship with ROA. However, leverage has an insignificant relationship with ROA. The relationship between quick ratio and ROA is moderated by board independence. Further, the relationship between growth in sales and ROA is moderated by board independence on the other hand, the relationship between total asset turnover, leverage, and ROA is not moderated by board independence. The insights gained from this research will contribute to a better understanding of the determinants of financial performance in the context of listed companies on the Colombo Stock Exchange.
Monetary policy framework in Sri Lanka and its impact on the financial sector: A review
Authors: Werake W. M. M. S.
Published: January 2024

Monetary policy is a prominent stabilization mechanism often used to accomplish price and economic stability in a country. The success of monetary policy depends on the operating economic environment, the institutional framework adopted, and the choice and mix of the instruments used. The aim of this paper was to review the evolution of the monetary policy framework in Sri Lanka and its impact on the financial sector. The review is important, and monetary policy is intended to impact aggregate spending in the economy to contribute to the goals of full employment, price stability, sustainable economic growth, and balance of payments equilibrium. The paper reviewed more than twenty-five research and review papers using a thematic approach. The paper explains the historical evolution of monetary policy regimes in Sri Lanka and the reasons for adopting various monetary and exchange rate policy regimes from time to time. The review considers national and international studies on monetary policy regimes and their impact on the financial system. The paper concludes that the Currency Board could not influence the money supply in any way, and until the adoption of open economy policies in 1977 under the fixed exchange rate regimes, the Central Bank had no control over domestic inflation. The review also identifies that flexible inflation targeting is the international best practice of Central Banking, and flexible inflation targeting enables the maintenance of low inflation, thereby helping economies achieve a high and stable growth path. However, it emphasizes that it should be maintained sustainably subject to several conditions through government intervention.
The dynamic relationship between foreign direct investment inflows and interest rate in Sri Lanka
Authors: Washima M. N. F.
Published: January 2024

Foreign direct investment acts as an engine of rapid growth and development of developing and emerging countries. It helps to promote the host nation’s economic growth, financial inflows and markets, technology, and skills. This study aims to identify the dynamic influence and relationship between Foreign Direct Investment (FDI) and interest rate in Sri Lanka over the period 1978 to 2020. Foreign direct investment inflow has been used as the dependent variable while gross domestic products, interest rate, inflation rate, trade openness and exchange rate are the independent variables. This study used the ARDL model for the analysis. According to the bound test, F statistics is greater than the upper bound value. Therefore, this study confirmed that there is a cointegration relationship between foreign direct investment inflows and other explanatory variables. A negative and significant error correction coefficient of FDI inflows reveals that 128% disequilibrium is corrected each year which implies that FDI moves downward towards long-run equilibrium. This study found that there is no substantial relationship between the interest rate and FDI inflows in the long run and a negative and substantial relationship in the short run. Therefore, this study suggests that the government of Sri Lanka has to reflect on developing a monetary policy and maintaining the balance of interest rate and exchange rate. Because of the currency depreciation, the exchange rate negatively influences FDI.
A Noncanonical CD56dimCD16dim/− NK Cell Subset Indicative of Prior Cytotoxic Activity Is Elevated in Patients with Autoantibody-Mediated Neurologic Diseases
Authors: Yandamuri Soumya S , Filipek Beata , Lele Nikhil , Cohen Inessa , Bennett Jeffrey L , Nowak Richard J , Sotirchos Elias S , Longbrake Erin E , Mace Emily M , O’Connor Kevin C
Published: January 2024

Neuromyelitis optica spectrum disorder (NMOSD), myelin oligodendrocyte glycoprotein Ab disease, and autoimmune myasthenia gravis (MG) are autoantibody-mediated neurologic conditions where autoantibodies can induce Ab-dependent cellular cytotoxicity (ADCC), a NK cell–mediated effector function. However, whether ADCC is a pathogenic mechanism in patients with these conditions has not been confirmed. We sought to characterize circulatory NK cells using functional assays, phenotyping, and transcriptomics to elucidate their role in pathology. NK cells from NMOSD patients and MG patients with elevated disease burden exhibited reduced ADCC and CD56dimCD16hi NK cells, along with an elevated frequency of CD56dimCD16dim/− NK cells. We determined that ADCC induces a similar phenotypic shift in vitro. Bulk RNA sequencing distinguished the CD56dimCD16dim/− population from the canonical CD56dimCD16hi cytotoxic and CD56hiCD16− immunomodulatory subsets, as well as CD56hiCD16+ NK cells. Multiparameter immunophenotyping of NK cell markers, functional proteins, and receptors similarly showed that the CD56dimCD16dim/− subset exhibits a unique profile while still maintaining expression of characteristic NK markers CD56, CD94, and NKp44. Notably, expression of perforin and granzyme is reduced in comparison with CD56dimCD16hi NK cells. Moreover, they exhibit elevated trogocytosis capability, HLA-DR expression, and many chemokine receptors, including CCR7. In contrast with NMOSD and MG, myelin oligodendrocyte glycoprotein Ab disease NK cells did not exhibit functional, phenotypic, or transcriptomic perturbations. In summary, CD56dimCD16dim/− NK cells are a distinct peripheral blood immune cell population in humans elevated upon prior cytotoxic activity by the CD56dimCD16hi NK cell subset. The elevation of this subset in NMOSD and MG patients suggests prior ADCC activity.
Dairy farmers’ knowledge about milk-borne zoonosis in the Eastern Cape province, South Africa
Authors: Diniso Yanga Simamkele , Jaja Ishmael Festus
Published: January 2024

Foodborne zoonosis is a longstanding global issue that limits and continues to threaten the food production industry and public health in several countries. The study’s objective was to evaluate the dairy farmers’ knowledge, attitudes, and practices about milk-borne pathogens in the Eastern Cape province, South Africa. A total of 139 dairy farmers were interviewed using a semi-structured online questionnaire. The pathogens of interest were Brucella spp., Escherichia coli, Listeria monocytogenes, Salmonella spp., Staphylococcus aureus, and Cryptosporidium. Only 20.9% of dairy farmers reported knowledge of Brucella spp. as a milk-borne pathogen. The most known pathogen was E. coli (54.7%), followed by Listeria spp. (41.0%), Staphylococcus spp. (38.8%), and Salmonella spp. (35.3%). In this study, knowledge of milk-borne pathogens was statistically associated (p<0.05) with workplace position. Only a few participants (37.2%) showed knowledge of abortion as an important clinical sign of foodborne pathogens. Also, 84.1% of dairy farmers indicated that they consume unpasteurized milk and sour milk (77%). Some respondents (18.0%) do not believe assisting a cow during calving difficulty without wearing gloves is a risk factor for zoonosis. Knowledge assessment is essential in developing countries that have experienced a foodborne outbreak, such as South Africa. There is an urgent need to educate dairy farmers about milk-borne zoonosis to minimize the threat to food security and public health.
Model development and initial characterization of Escherichia coli in the shellfish-producing area of Butrinti Lagoon
Authors: Maçi Renis , Shehu Fatmira , Spaho Enton , Bijo Bizena
Published: January 2024

The purpose of this research was to estimate the correlation between hydrochemicals and Escherichia coli contamination in Mytilus galloprovincialis by using multi-linear regression and statistically processing the monthly mean results. This study was conducted in the traditional cultivation of M. galloprovincialis, sampled and analyzed (n=136) for E. coli microbial analysis with ISO 16649-3. During the years 2015-2017, seawater was measured with a multiparameter apparatus, where four variables [dissolved oxygen (n=115), temperature (n=127), pH (n=115), salinity (n=127), and local area rainfall monitoring (n=23)] were taken into consideration. The results were compared and shown to have a significant correlation, allowing for the quantification of the impact resulting from adjustments made to the monthly mean computation. During the study period, statistical performance for each year was estimated R2=94.4% (2015), R2=46.8%, and R2=97.5% (2017).
Clinicopathological implications of immunohistochemical expression of TBX21, CXCR3, GATA3, CCR4, and TCF1 in nodal follicular helper T-cell lymphoma and peripheral T-cell lymphoma, not otherwise specified
Authors: Han Bogyeong , Lim Sojung , Yim Jeemin , Song Young Keun , Koh Jiwon , Kim Sehui , Lee Cheol , Kim Young A , Jeon Yoon Kyung
Published: January 2024

Background: The classification of nodal peripheral T-cell lymphoma (PTCL) has evolved according to histology, cell-of-origin, and genetic alterations. However, the comprehensive expression pattern of follicular helper T-cell (Tfh) markers, T-cell factor-1 (TCF1), and Th1- and Th2-like molecules in nodal PTCL is unclear.Methods: Eighty-two cases of nodal PTCL were classified into 53 angioimmunoblastic T-cell lymphomas (AITLs)/nodal T-follicular helper cell lymphoma (nTFHL)-AI, 18 PTCLs-Tfh/nTFHL–not otherwise specified (NOS), and 11 PTCLs-NOS according to the revised 4th/5th World Health Organization classifications. Immunohistochemistry for TCF1, TBX21, CXCR3, GATA3, and CCR4 was performed.Results: TCF1 was highly expressed in up to 68% of patients with nTFHL but also in 44% of patients with PTCL-NOS (p > .05). CXCR3 expression was higher in AITLs than in non-AITLs (p = .035), whereas GATA3 expression was higher in non-AITL than in AITL (p = .007) and in PTCL-Tfh compared to AITL (p = .010). Of the cases, 70% of AITL, 44% of PTCLTfh/ nTFHL-NOS, and 36% of PTCL-NOS were subclassified as the TBX21 subtype; and 15% of AITL, 38% of PTCL-Tfh/nTFHL-NOS, and 36% of PTCL-NOS were subclassified as the GATA3 subtype. The others were an unclassified subtype. CCR4 expression was associated with poor progression-free survival (PFS) in patients with PTCL-Tfh (p < .001) and nTFHL (p = .023). The GATA3 subtype showed poor overall survival in PTCL-NOS compared to TBX21 (p = .046) and tended to be associated with poor PFS in patients with non-AITL (p = .054).Conclusions: The TBX21 subtype was more prevalent than the GATA3 subtype in AITL. The GATA3 subtype was associated with poor prognosis in patients with non-AITL and PTCL-NOS.
Utility maximization of the exponential Lévy switching models
Authors: Dong Yuchao , Vostrikova Lyudmila
Published: January 2024

Данная статья посвящена максимизации HARA-полезности экспоненциальных процессов Леви с переключениями, заданных на конечном промежутке времени, используя дуальный метод. Дается описание всех минимальных по $f$-дивергенции мартингальных мер и выражения соответствующих процессов плотности Радона-Никодима, включающие в себя процессы Хеллингера и процессы Кульбака-Лейблера. Получены оптимальные стратегии, обеспечивающие максимизацию HARA-полезности в прогрессивно-расширенной фильтрации, а также значения соответствующих полезностей. В качестве примера приводятся результаты для броуновского движения с переключениями и их финансовая интерпретация в терминах процесса стоимости.
Совместные распределения обобщенных интегрируемых возрастающих процессов и их обобщенных компенсаторов
Authors: Borzykh Dmitriy Alexandrovich
Published: January 2024

Рассматривается множество $\Lambda$ всех краевых совместных распределений $\operatorname{Law} ([X_a, A_a], [X_b, A_b])$ в моменты $t=a$ и $t=b$ интегрируемых возрастающих процессов $(X_t)_{t \in [a, b]}$ и их компенсаторов $(A_t)_{t \in [a, b]}$, которые в начальный момент времени стартуют из произвольного интегрируемого начального условия $[X_a, A_a]$. Установлены выпуклость и замкнутость множества $\Lambda$ в $\psi$-слабой топологии с калибровочной функцией $\psi$ линейного роста. Получены необходимые и достаточные условия того, что некоторая вероятностная мера $\lambda$, заданная на $\mathcal{B}(\mathbf{R}^2 \times \mathbf{R}^2)$, принадлежит классу мер $\Lambda$. Основным результатом работы является следующий: для двух мер $\mu_a$ и $\mu_b$, заданных на $\mathcal{B}(\mathbf{R}^2)$, получены необходимые и достаточные условия того, что множество $\Lambda$ содержит меру $\lambda$, для которой $\mu_a$ и $\mu_b$ являются маргинальными распределениями.
Свойства мер устойчивости отбора признаков
Authors: Bulinski Alexander Vadimovich
Published: January 2024

Доказано, что свойство монотонности введенной S. Nogueira et al. (2018) меры устойчивости отбора признаков (факторов) может не выполняться. Имеет место иное свойство монотонности. Показано также, в каких случаях возможно сравнивать по некоторым параметрам матрицы, описывающие работу алгоритмов выделения значимых признаков.
Энергетически эффективная аппроксимация винеровского процесса при односторонних ограничениях
Authors: Lifshits Mikhail Anatolievich , Nikitin Sergei Evgen'evich
Published: January 2024

В работе рассматривается энергетически эффективная аппроксимация винеровского процесса при односторонних ограничениях. Показано, что с вероятностью единица на больших интервалах времени минимально необходимая для аппроксимации энергия логарифмически зависит от длины интервала. Построена адаптивная стратегия аппроксимации, оптимальная в классе диффузионных стратегий, также дающая логарифмический порядок расхода энергии.
Research progress and challenges in stem cell therapy for diabetic foot: Bibliometric analysis and perspectives
Authors: Shi Hong-Shuo , Yuan Xin , Wu Fang-Fang , Li Xiao-Yu , Fan Wei-Jing , Yang Xiao , Hu Xiao-Ming , Liu Guo-Bin
Published: January 2024

BACKGROUND

Stem cell therapy has shown great potential for treating diabetic foot (DF).

AIM

To conduct a bibliometric analysis of studies on the use of stem cell therapy for DF over the past two decades, with the aim of depicting the current global research landscape, identifying the most influential research hotspots, and providing insights for future research directions.

METHODS

We searched the Web of Science Core Collection database for all relevant studies on the use of stem cell therapy in DF. Bibliometric analysis was carried out using CiteSpace, VOSviewer, and R (4.3.1) to identify the most notable studies.

RESULTS

A search was conducted to identify publications related to the use of stem cells for DF treatment. A total of 542 articles published from 2000 to 2023 were identified. The United States had published the most papers on this subject. In this field, Iran’s Shahid Beheshti University Medical Sciences demonstrated the highest productivity. Furthermore, Dr. Bayat from the same university has been an outstanding researcher in this field. Stem Cell Research & Therapy is the journal with the highest number of publications in this field. The main keywords were “diabetic foot ulcers,” “wound healing,” and “angiogenesis.”

CONCLUSION

This study systematically illustrated the advances in the use of stem cell therapy to treat DF over the past 23 years. Current research findings suggested that the hotspots in this field include stem cell dressings, exosomes, wound healing, and adipose-derived stem cells. Future research should also focus on the clinical translation of stem cell therapies for DF.
Use of priming strategies to advance the clinical application of mesenchymal stromal/stem cell-based therapy
Authors: Miceli Vitale
Published: January 2024

Mesenchymal stromal/stem cells (MSCs) have garnered significant attention in the field of regenerative medicine due to their remarkable therapeutic potential. MSCs play a pivotal role in maintaining tissue homeostasis and possess diverse functions in tissue repair and recovery in various organs. These cells are characterized by easy accessibility, few ethical concerns, and adaptability to in vitro cultures, making them a valuable resource for cell therapy in several clinical conditions. Over the years, it has been shown that the true therapeutic power of MSCs lies not in cell engraftment and replacement but in their ability to produce critical paracrine factors, including cytokines, growth factors, and exosomes (EXOs), which modulate the tissue microenvironment and facilitate repair and regeneration processes. Consequently, MSC-derived products, such as conditioned media and EXOs, are now being extensively evaluated for their potential medical applications, offering advantages over the long-term use of whole MSCs. However, the efficacy of MSC-based treatments varies in clinical trials due to both intrinsic differences resulting from the choice of diverse cell sources and non-standardized production methods. To address these concerns and to enhance MSC therapeutic potential, researchers have explored many priming strategies, including exposure to inflammatory molecules, hypoxic conditions, and three-dimensional culture techniques. These approaches have optimized MSC secretion of functional factors, empowering them with enhanced immunomodulatory, angiogenic, and regenerative properties tailored to specific medical conditions. In fact, various priming strategies show promise in the treatment of numerous diseases, from immune-related disorders to acute injuries and cancer. Currently, in order to exploit the full therapeutic potential of MSC therapy, the most important challenge is to optimize the modulation of MSCs to obtain adapted cell therapy for specific clinical disorders. In other words, to unlock the complete potential of MSCs in regenerative medicine, it is crucial to identify the most suitable tissue source and develop in vitro manipulation protocols specific to the type of disease being treated.
Analyzing the Moisture and Chemical Retention Behavior of Flax
Fiber–Ceramic Hybrid Composites for Automotive Underbody Shields
Authors: Pandian Arvinda , Kaliappan Seeniappan , Natrayan L. , Reddy Vinay
Published: January 2024

In pursuing enhanced bio-composite properties, filler materials play a pivotal
role. This study delves into the impact of ceramic additives on the chemical
resistance and moisture durability of flax fiber-reinforced polymers. Utilizing
the hand lay-up technique, we developed polyester composites reinforced with
flax fibers. Silicon carbide (SiC) and aluminum oxide
(Al2O3) were chosen as filler components. One batch of
flax fibers underwent an alkaline treatment to enhance their properties further
using a 5% NaOH solution. The resistance of composite samples to acetic acid and
sodium hydroxide was then assessed. Additionally, the moisture absorption
patterns of all models were investigated. A thorough comparative analysis was
conducted among multiple composite batches. The results highlighted that
integrating additives significantly bolstered the chemical and moisture
resistance of the composites. Notably, the alkali-treated samples exhibited
superior moisture and chemical agent resistance compared to their untreated
counterparts.
Investigation of Mechanical and Thermal Properties of Bamboo Fiber
Reinforced with Epoxidized Soybean Oil for Automotive Seat Bases
Authors: Meshram Pawan Devidas , Natrayan L. , Balaji N. , Reddy Vinay
Published: January 2024

Bamboo fibers were used as reinforcement in hardened epoxy mixes altered with
ethoxylated soybean oil (ESO) to enhance the mechanical and thermal qualities.
Compared to a bio-based epoxy mix, the tensile strength and modulus of the
laminate with 20% bamboo fiber were higher. During thermogravity analysis (TGA)
evaluation, it was discovered that the rate of deterioration peak had been moved
to a warmer temperature, indicating improved thermal durability of the aggregate
over the base material. The dynamic mechanical evaluation of the bio-based
composite anticipated increased storage modulus and greater glass transition
temperatures. High fiber–matrix adherence was visible in scanning electron
morphology (SEM). Measurements of the interfacial adhesion demonstrate the
hydrophilicity of the bio-based reinforced composites. The binding and effective
insemination of fibers is responsible for the fiber-reinforced composite’s
durability. Higher rigidity and durability were generated because the
lignocellulosic biomass adhered well to the low-viscosity resin. Moreover,
research on adherence in composite materials reveals that the interfaces of
composite materials with bamboo fibers are becoming more hydrophilic. Sufficient
mechanical hardness, stiffness, and durability are realized for automobile and
industrial purposes.
Partial-dual genus polynomial as a weight system
Authors: Chmutov Sergei
Published: January 2024

We prove that the partial-dual genus polynomial considered as a function on
chord diagrams satisfies the four-term relation. Thus it is a weight system
from the theory of Vassiliev knot invariants.
METODOLOGIAS ATIVAS NA EDUCAÇÃO
Authors: Silva Ana Walquíria Souza da , Vilela Márcia Alves Medeiros , Ribeiro Priscilla Eustáquio de Oliveira , Oliveira Ricardo Furtado de , Santos Sonia Araújo dos
Published: January 2024

Com o advento da tecnologia e da popularização dos recursos online, fica evidente a necessidade da contextualização do ambiente escolar com o novo perfil de estudante conectado e da sociedade para que o aprendizado seja imbuído de significado e motivação. Diante desta desafiadora realidade, popularizam-se as Metodologias Ativas dentro do ambiente educacional com a missão de, através destas ferramentas, desenvolver o protagonismo, a autonomia e a capacidade de resolução de problemas. Entretanto é importante que para uso destas, haja entendimento de seu conceito, origem, tipologias, compreensão da importância da inserção de tais ferramentas no cotidiano escolar, para que cada vez mais o estudante tenha o desenvolvimento do senso crítico com o uso autônomo das ferramentas tecnológicas. O presente artigo foi produzido com base em referências bibliográficas e pesquisas, dados e informações extraídas também de fontes bibliográficas online em concordância com o tema proposto. Subdividido em quatro partes, esta produção levou em consideração os conceitos explorados, tratando sobre a importância do conhecimento das Metodologias Ativas para promoção de autonomia no ambiente escolar, aprofundando no estudo da Cultura Maker e sua funcionalidade nesta nova realidade de sala de aula, fazendo uma breve reflexão sobre os desafios enfrentados pelos professores e respectivas escolas.
METODOLOGIAS ATIVAS E TECNOLOGIA NA EDUCAÇÃO
Authors: Gallo Solange Aparecida , Barros Ayrla Morganna Rodrigues , Carvalho Ianan Eugênia de , Laet Lucas Estevão Fernandes , Silva Tatiana Petúlia Araújo da
Published: January 2024

O presente artigo aborda a integração de metodologias ativas e tecnologia no contexto educacional, destacando a necessidade de promover práticas pedagógicas inovadoras e alinhadas às demandas contemporâneas. A pesquisa busca explorar os conceitos e estratégias relacionados a essa integração, enfocando a sala de aula invertida como metodologia ativa aliada ao uso de plataformas online. A revisão bibliográfica abrange temas como a essência das metodologias ativas, a incorporação da tecnologia no ensino e os benefícios da sala de aula invertida. Destaca-se a relevância de ferramentas digitais para proporcionar uma aprendizagem personalizada e colaborativa. A análise ressalta a importância da autonomia do aluno, do desenvolvimento de habilidades de autodireção e da capacidade do professor em acompanhar o progresso individual dos estudantes. Em síntese, a integração de metodologias ativas e tecnologia, utilizando a sala de aula invertida com o suporte de plataformas online, representa uma abordagem inovadora que visa otimizar a aprendizagem, promover a participação ativa dos alunos e prepará-los para os desafios da sociedade contemporânea.
O PAPEL DO PROFESSOR NO DESENVOLVIMENTO DA AUTONOMIA NA APRENDIZAGEM DE LÍNGUAS ESTRANGEIRAS
Authors: Silva Jean dos Santos , Ferreira Franciele de Carvalho , Sousa Matozalém de , Silva Mauri Alves da , Oliveira Ricardo Furtado de
Published: January 2024

Este artigo discute o papel do professor de língua estrangeira no desenvolvimento da autonomia do aprendente. A autonomia na aprendizagem de línguas envolve a capacidade do aluno de assumir a responsabilidade pelo próprio processo de aprendizagem, estabelecendo metas, selecionando estratégias e avaliando seu desempenho. O professor atua como facilitador, criando um ambiente que incentiva a tomada de decisões, a autorreflexão e a autorregulação. O objetivo do estudo é investigar como o professor pode promover a autonomia no aprendente de língua estrangeira e refletir sobre práticas pedagógicas que facilitem esse desenvolvimento. A pesquisa bibliográfica foi utilizada como método, com a análise de materiais já publicados na literatura e artigos científicos. Os autores citados incluem Benson, Dickinson, Ellis e Shintani, Freire, Little, Richards e Schimid, Taylor e Vygotsky. O estudo busca contribuir para uma melhor compreensão do papel do professor no desenvolvimento da autonomia do aprendente de língua estrangeira durante o processo de ensino-aprendizagem.