bluuebunny/crossref_metadata_2025 huggingface dataset:
THE PREVENTION OF CARDIOVASCULAR COMPLICATIONS AFTER CORONARY STENTING IN PATIENTS WITH UNSTABLE ANGINA AND RESISTANCE TO ANTIPLATELET AGENTS
Authors: Medvedeva E. A. , Gelis L. G. , Russkich I. I. , Rusak T. V.
Published: August 2023

Objective: the aim of the study was evaluation of the clinical significance of high residual platelet reactivity in patients with unstable angina and coronary arteries stenting in the inpatient and outpatient monitoring and development of optimal ways of correction of this condition.

Material and Methods: the study included 131 patients with unstable angina after coronary stenting. The main group represented 78 patients (UA) underwent dynamic observation of platelet aggregation (Multiplate aggregometer) on the inpatient and outpatient observations (7 day, 1 month, 6 months, 12 months, 18 months) to identify primary and secondary resistance to antiplatelet agents with subsequent correction of antiplatelet therapy. The control group consisted of 53 patients with standard therapy with antiplatelet agents without control of platelet aggregation. All patients were performed: general blood analysis, biochemical blood analysis with determination of the level of TnI, C-reactive protein, myeloperoxidase, von Willebrand factor, and fibrinogen; the test of thrombin generation, also ECG, EchoCG, 24-hour ECG monitoring, coronary angiography. The Republican Scientific and Practical Center Cardiology, Minsk, Belarus

Results: the results of our study showed a reduction in sensitivity to clopidogrel at 24,4% of patients with UA and stenting of the coronary arteries, of which the original clopidogrel in 7,7% of patients, generic clopidogrel 16,7% pts. Reduced sensitivity to acetylsalicylic acid was detected in 17,9% of individuals with UA. Laboratory resistance to ASA and/or clopidogrel increased the relative risk of recurrent cardiovascular events more than 4 times [CI 2,9; 5,6] during the 18 months of observation in comparison with a group of pts with no signs of resistance to antiplatelet agents.

Conclusions: execution of aggregatogram to patients with unstable angina and stenting of the coronary arteries allows to identify patients with high residual platelet reactivity, to correct of antiplatelet therapy and to reduce the number of repeat cardiovascular events in patients with signs of laboratory resistance to antiplatelet agents.
COMPARISON OF GENERAL CLINICAL DATA FROM TWO INDEPENDENT REGISTERS AMONG MALE SUBJECTS IN ONE AREA TASHKENT CITY
Authors: Nagaeva G. A. , Mamutov R. S.
Published: August 2023

The register is an organized system for collecting information about patients with specific diseases. Functions of registers on acute coronary diseases allow using them to characterize therapeutic approaches and assess their quality. It is with the help of registers that help to identify the status and deficiencies in the management of patients at individual stages of specialized care, you can see the most optimal ways to improve the quality of treatment. Carrying out registers and estimation of their dynamics for today are poorly covered in the literature, and in this connection we conducted a comparative analysis of the database of two independent registers (in 2009 and 2015) in one of the districts of Tashkent (a total of 894 patients with acute coronary syndrome and acute myocardial infarction). The analysis revealed that the incidence of ACSAMI in the 2nd register among men younger than 40 years decreased, but the number of obese individuals increased. In the 2nd register, the number of men with HR> 90 beats/min decreased, but the mean values of blood pressure increased. Among men with ACS/ АMI, an increase in the level of triglycerides of blood was registered in the 2nd register, but the percentage of men with hypertriglyceridemia was less. In the 2nd register, the number of troponin determinations has increased, which indicates an increase in the coverage of laboratory studies. The results of the 2nd register on ACS/ АMI among males revealed a significant increase in the groups of drugs used in the treatment, not only those included in the basic therapy of IHD, but also the main ones in the treatment of ACS/ АMI, which indicates positive qualitative shifts in treatment acute cardiac pathology. Thus, the use of the population methodologies of the Registers allows the creation of a program for predicting the outcome of the disease, and also to improve the volume and quality of medical care, taking into account individual risk factors and the potential of their interrelationships
POSSIBILITY OF USING THE AUGMENTATION INDEX AS A PREDICTOR OF ATHEROSCLEROTIC DISEASE OF CAROTID ARTERIES IN PATIENTS WITH ESSENTIAL HYPERTENSION
Authors: Mamasaidov J. A. , Polupanov A. G. , Alimbekova D. B. , Romanova T. A. , Dzhumagulova A. S.
Published: August 2023

Objective. Study of the possibility of predicting atherosclerosis of carotid arteries on the basis of the augmentation index in patients with essential hypertension.

Material and methods. A total of 155 patients with EH in the age range 30-70 years. A physical examination, identification of a number of biochemical parameters: glucose and creatinine and blood lipid (LDL, HDL and triglycerides), duplex scanning of carotid arteries, the definition of arterial stiffness by pulse wave contour analysis.

Results. The augmentation index, along with age, was an independent risk factor for atherosclerosis carotid arteries in patients with EH, as well as the severity of its symptoms.
SOME EARLY PREDICTORS OF A RECURRENCE OF FIBRILLATION OF AURICLES IN PATIENTS WHO HAVE UNDERGONE RFA OPERATION
Authors: Mostovnek M. V. , Shokhzodaeva Z. O. , Ryabikina G. V. , Shedrina E. V. , Volkov V. E.
Published: August 2023

The aim of this study was to identify possible ECG predictors of atrial fibrillation (AF) recurrence in the early period after radiofrequency catheter ablation (RCA). We compare P-waves parameters before and after radiofrequency catheter ablation. In total 12 lead surface ECG of forty-two patients with paroxysmal and persistent atrial fibrillation were analyzed before and after catheter ablation. The 12 lead surface ECG was recorded on sinus rhythm before and within 24-48 h after RCA . 13 patients out of 42 had atrial fibrillation recurrence. Patients with early AF recurrence were significantly older than patients with sinus rhythm. In the group of patients with AF recurrence, the duration of P wave was longer than in the group without AF recurrence. After RCA in both groups there were observed reducing of PQ interval and increasing of heart rate.
DEPENDENCE OF MORTALITY FROM CARDIOVASCULAR SYSTEM DISEASES ON METEOROLOGIC FACTORS AMONG POPULATION OF BAKU AND GUBA
Authors: Azizov V. A. , Hatamzade E. M. , Rahimova A. S. , Alekperova A. K. , Sadigova T. A. , Mamedzade A. Y.
Published: August 2023

The article presents the results of study dependence of mortality from cardiovascular system diseases on meteorologic factors among population of Baku and Guba. Air temperature and rainfall have been taken as the main meteorological indicator for months. Increased risk of death from cardiovascular diseases in both cities was observed more in the spring-winter months than in the summer, which was associated with a high amount of precipitation at this time of the year and with a lower temperature.
A BRIEF SUMMARY OF THE RESULTS OF THE 6TH WORLD SYMPOSIUM ON PULMONARY HYPERTENSION IN NICE IN 2018: VIEW OF A YOUNG SCIENTIST
Authors: Taran I. N.
Published: August 2023

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THE HEMODYNAMICS AND RENAL FUNCTION BEFORE AND AFTER PULMONARY THROMBOENDARTERECTOMY
Authors: Tsyrenov D. D. , Tabakyan E. A. , Mershin K. V. , Buldakova N. A. , Akchurin R. S.
Published: August 2023

Objective: to study the pulmonary hemodynamics and kidney function in patients with chronic thromboembolic pulmonary hypertension (CTEPH) after pulmonary thromboendarterectomy (PTE). To analyze the main results of PTE.

Material and methods: among 51 patients with CTEPH undergoing PTE, the group with chronic kidney disease (CKD) was identified. The main parameters of hemodynamics, such as cardiac output (CO), cardiac index (d), pulmonary arterial pressure (PAP), pulmonary vascular resistance (PVR), were determined. The cases of acute kidney injury (AKI) after PTE were identified. The correlation between hemodynamics and renal function was analyzed.

Results: there was decrease of mean PAP, PVR and increase of CO and CI after PTE. In cases of AKI 1-2, the complete recovery of renal function were observed. Glomerular filtration rate (GFR) increased before discharge in patients with CKD and in other patients.

Conclusion: the positive dynamics of renal function in patients with CTEPH after PTE is more probably associated with an increase in the С and renal perfusion.
MODERN APPROACHES TO DETECTING EARLY SUBCLINICAL CARDIOTOXICITY INDUCED BY CHEMOTHERAPY IN PATIENTS WITH BREAST CANCER
Authors: Avalyan A. A. , Saidova M. A. , Oshchepkova E. V. , Chazova I. Ye.
Published: August 2023

In recent decades, developed countries of the world have made progress in the treatment of breast cancer, both because of the early detection of cancer and the use of modern methods of treatment (target therapy and chemotherapy, radiation therapy and surgical treatment). Due to this, the time of disease-free course of cancer and the duration of life of patients have increased. However, a number of antitumor drugs have cardiotoxicity [1]. It is shown that cardiovascular diseases are the second leading cause of death among women who have undergone breast cancer [27]. Reduction of systolic function of the heart is the most common manifestation of cardiotoxicity of antitumor therapy [7]. Other manifestations of cardiotoxicity include arterial hypertension (AH), acute coronary syndrome, arrhythmias and thromboses. In recent years, methods such as electrocardiography (ECG); echocardiography (EchoCG) with the classical definition of the left ventricular ejection fraction (LVEF) by the method of Simpson's biplane and the global longitudinal strain of the left ventricular (GLS) using data from the 2D Speckle Tracking Imaging; determination of the level of biomarkers of myocardial damage and magnetic resonance imaging (MRI) of the heart have been used to detect the cardiotoxicity of antitumor therapy. Thus, the early diagnosis and timely detection of cardiotoxic effects of antitumor drugs are among the tasks of cardiooncology - an area in medicine formed in recent years [1].
Perinatal Outcomes in Hypoplastic Left Heart Syndrome
Authors: ATALAY Ayşegül , SAHİN Dilek
Published: August 2023

Aim: To review our experience in fetuses with prenatally diagnosed hypoplastic left heart syndrome (HLHS).

Materials and Method: Retrospective study of fetuses prenatally diagnosed with HLHS between 2020 and 2022 in a tertiary referral center.

Results: 29 fetuses with HLHS were identified. 13 of all 29 cases (44.8%) had associated cardiac abnormalities and 8 cases (27.5%) had coexisting extracardiac abnormalities. Only a small minority of cases underwent invasive diagnostic testing (20%), and all of which had a normal karyotype. Most cases were delivered at term (58.6%), median gestational week at delivery was 37 (range, 34-39), and the mean standard deviation (SD) birthweight was 3099±455 grams. In addition, HLHS was more common in male than in female fetuses (69% vs 31%). Termination of pregnancy (TOP) was selected in 4 (13.7%) of the diagnosed 29 cases and performed before at ≤ 26 weeks of pregnancy. There were 3 intrauterine fetal demise (IUFD) at 23,29, and 34 weeks of gestation. Among the 29 cases of HLHS, 22 (75.8%) were live born. 3 of 22 live born infants were managed by medical procedures as they were not appropriate surgical candidates and later died at 22nd, 23rd and 25th of postnatal day. Surgery was performed in 15 cases and only one of them is are still alive. Mortality rate in the first three months of neonatal period was 96.5%.

Conclusion: Fetal echocardiography allows an accurate diagnosis of HLHS, which is made even

in the late first trimester. Despite early prenatal detection and postnatal surgical interventions, the results from our center in last two years reflect poor outcomes for HLHS.
Improving FAIRness of eDNA and Metabarcoding Data: Standards and tools for European Nucleotide Archive data deposition
Authors: Paupério Joana , Gupta Vikas , Burgin Josephine , Jayathilaka Suran , Lanfear Jerry , Abarenkov Kessy , Kõljalg Urmas , Penev Lyubomir , Cochrane Guy
Published: August 2023

The advancements in sequencing technologies have promoted the generation of molecular data for cataloguing and describing biodiversity. The analysis of environmental DNA (eDNA) through the application of metabarcoding techniques enables comprehensive descriptions of communities and their function, being fundamental for understanding and preserving biodiversity. Metabarcoding is becoming widely used and standard methods are being generated for a growing range of applications with high scalability. The generated data can be made available in its unprocessed form, as raw data (the sequenced reads) or as interpreted data, including sets of sequences derived after bioinformatics processing (Amplicon Sequence Variants (ASVs) or Operational Taxonomic Units (OTUs)) and occurrence tables (tables that describe the occurrences and abundances of species or OTUs/ASVs). However, for this data to be Findable, Accessible, Interoperable and Reusable (FAIR), and therefore fully available for meaningful interpretation, it needs to be deposited in public repositories together with enriched sample metadata, protocols and analysis workflows (ten Hoopen et al. 2017).

Metabarcoding raw data and associated sample metadata is often stored and made available through the International Nucleotide Sequence Database Collaboration (INSDC) archives (Arita et al. 2020), of which the European Nucleotide Archive (ENA, Burgin et al. 2022) is its European database, but it is often deposited with minimal information, which hinders data reusability.

Within the scope of the Horizon 2020 project, Biodiversity Community Integrated Knowledge Library (BiCIKL), which is building a community of interconnected data for biodiversity research (Penev et al. 2022), we are working towards improving the standards for molecular ecology data sharing, developing tools to facilitate data deposition and retrieval, and linking between data types.

Here we will present the ENA data model, showcasing how metabarcoding data can be shared, while providing enriched metadata, and how this data is linked with existing data in other research infrastructures in the biodiversity domain, such as the Global Biodiversity Information Facility (GBIF), where data is deposited following the guidelines published in Abarenkov et al. (2023). We will also present the results of our recent discussions on standards for this data type and discuss future plans towards continuing to improve data sharing and interoperability for molecular ecology.
Anti-tumor necrosis factor therapy in Bulgarian pediatric patients with inflammatory bowel disease – an 8-year experience of a referral center
Authors: Shentova-Eneva Rayna R. , Kofinova Denitza R. , Baycheva Mila Zh. , Hadzhiyski Petyo G. , Naydenov Hristo B. , Yaneva Penka G. , Lazarova Elena A.
Published: August 2023

Introduction: Anti-tumor necrosis factor (anti-TNF) therapy has become a mainstay in the treatment of patients with inflammatory bowel disease over the past few decades.

Aim: The aim of this study was to present our 8-year experience with anti-TNF treatment in pediatric patients with inflammatory bowel disease.

Materials and methods: We reviewed retrospectively the medical records of all children with inflammatory bowel disease who received anti-TNF drugs between September 2013 and September 2021.

Results: The study included 48 patients in total, with a median age of 15 years (range: 11 months to 17 years). All but one of them were receiving combination therapy, which included both an immunomodulator and a biologic agent, for moderate-to-severe disease. Infliximab was administered to only half of the study participants, adalimumab was only received by 22.9%, and 27.1% were treated with more than one biologic agent. Clinical remission at 6 months was achieved by 72.9% of them and 47.9% achieved a deep remission at 12 months. A quarter of the patients required therapy escalation and 27.1% switched to another biologic agent due to adverse events, primary non-response, or secondary loss of response (18.8% switched to a second anti-TNF and 8.3% switched to an anti-integrin agent). During the study period, the following serious adverse drug reactions were observed: 3 cases of anaphylactic reactions, 1 case of allergic rash, 1 case of disseminated tuberculosis, 1 case of severe herpes simplex infection, 1 case of herpes zoster infection, and 2 cases of drug-induced psoriasis.

Conclusions: Anti-TNF agents are an effective and safe treatment option in Bulgarian pediatric patients with inflammatory bowel disease.
Twelve-month clinical evaluation of retention of resin-based sealant on first permanent molars
Authors: Shtereva Lilyana , Kondeva Veselina
Published: August 2023

Introduction: The majority of researchers agree that sealants need to be monitored and kept in good condition because even a small amount of sealant loss raises the possibility of developing caries lesions. The first year after application is when sealant loss is reported to be at its highest. This motivated us to monitor silanized patients who received resin-based sealant for a full year.

Aim: The aim of this study was to monitor the retention of resin-based sealant on fully erupted first permanent molars in children aged 7-8 years.

Materials and methods: Prior to sealant application, all first permanent molars included in the study were subjected to visual diagnostics using the ICDAS II system and diagnostics with VistaCamiX Macro using the same system. Silanization was performed according to the indications. The follow-up checks were performed at 3, 6, and 12 months in accordance with the accepted methodology.

Results: At the end of the first year, completely lost sealant was reported in approximately 8%-9% of the monitored surfaces using various diagnostic methods.

Conclusions: Resin-based sealants are suitable for application on occlusal surfaces of teeth when it is possible to properly isolate the field of work. They provide both an excellent prophylactic effect of caries and very good retention.
CT perfusion – an up-to-date element of the contemporary multimodal diagnostic approach to acute ischemic stroke
Authors: Halil Eray
Published: August 2023

Acute ischemic stroke is of great clinical and societal importance due to its high incidence and mortality rates, as well as the fact that those who are affected suffer from permanent acquired disability. Modern trends explicitly state that the disease’s diagnostic plan should use a multidisciplinary approach. The therapeutic steps that ultimately determine the clinical outcome are defined by an accurate diagnosis of acute ischemic stroke. Highly specialized facilities for the diagnosis and treatment of acute ischemic stroke (Stroke Units) are in operation in countries that make significant investments in healthcare. Imaging the brain parenchyma at risk, or the so-called ischemic penumbra, in acute ischemic stroke is one of the main tasks of the multimodal computed tomography approach. The most rapid method for imaging the ischemic penumbra is computed tomography perfusion (CTP). This modality provides information about the anatomy and the physiologic state of the brain parenchyma.

The current literature review offers a comprehensive overview of the various aspects of computed tomography perfusion in acute ischemic stroke and, more specifically, about the differential diagnosis of acute ischemic strokes and diseases that mimic strokes, predicting the risk of hemorrhagic transformation, the computed tomography perfusion used in intravenous thrombolysis (IVT) beyond the therapeutic window, wake-up strokes (WUS) and strokes of unknown onset (SUKO), and the reported predictive parameters of CTP in correlation with the clinical outcome in acute ischemic stroke.
Feature adaptive multi-view hash for image search
Authors: Sun Li , Song Bing
Published: August 2023

With the rapid development of network technology and small handheld devices, the amount of data has significantly increased and various kinds of data can be supplied to us at the same time. Recently, hashing technology has become popular in executing large-scale similarity search and image matching tasks. However, most of the prior hashing methods are mainly focused on the choice of the high-dimensional feature descriptor for learning effective hashing functions. In practice, real world image data collected from multiple scenes cannot be descriptive enough by using a single type of feature. Recently, several unsupervised multi-view hashing learning methods have been proposed based on matrix factorization, anchor graph and metric learning. However, large quantization error will be introduced via a sign function and the robustness of multi-view hashing is ignored. In this paper we present a novel feature adaptive multi-view hashing (FAMVH) method based on a robust multi-view quantization framework. The proposed method is evaluated on three large-scale benchmarks CIFAR-10, CIFAR-20 and Caltech-256 for approximate nearest neighbor search task. The experimental results show that our approach can achieve the best accuracy and efficiency in the three large-scale datasets.
State-of-the-art survey of in-vehicle protocols and automotive Ethernet security and vulnerabilities
Authors: Douss Aida Ben Chehida , Abassi Ryma , Sauveron Damien
Published: August 2023

With the help of advanced technology, the automotive industry is in continuous evolution. Modern vehicles are not only comprised of mechanical components but also contain highly complex electronic devices and connections to the outside world. Today's vehicle usually has between 30 and 70 ECUs (Electronic Control Units), which communicate with each other over standard communication protocols. There are different types of in-vehicle network protocols and bus systems, including the Controlled Area Network (CAN), Local Interconnected Network (LIN), FlexRay, Media Oriented System Transport (MOST), and Automotive Ethernet (AE). Modern cars are also able to communicate with other devices through wired or wireless interfaces such as USB, Bluetooth, Wi-Fi or even 5G. Such interfaces may expose the internal network to the outside world and can be seen as entry points for cyber-attacks. In this paper, the main interest is in the AE network protocol. AE is a special Ethernet design that provides the bandwidth needed for today's applications, and the potential for even greater performance in the future. However, AE is a "best effort" protocol, which cannot be considered reliable. This implies that it is not trustworthy in terms of reliability and timely deliveries. The focus of this paper is to present a state-of-the-art survey of security threats and protection mechanisms relating to AE. After introducing and comparing the different protocols being used in the embedded networks of current vehicles, we analyze the potential threats targeting the AE network and describe how attackers' opportunities can be enhanced by the new communication abilities of modern cars. Finally, we present and compare the AE security solutions currently being devised to address these problems and propose some recommendations and challenges to deal with security issue in AE protocol.
The Requirements for Heutagogical Attunement within STEAM Education
Authors: Heilala Janne , Shibani Antonette , Gomes de Freitas Adriano
Published: August 2023

As we launch into an era marked by rapid technological advancements, education is experiencing disruptive transformations. Central to this shift is the integration of Artificial Intelligence (AI), predictive hybrid cloud strategies, and large language models (LLMs) like ChatGPT. As technology, AI becomes increasingly central to education; this paper explores the evolution of pedagogy in response to these changes, with a focus on the horizon. This investigation delves into the challenges and opportunities arising from the integration of AI, predictive hybrid cloud strategies, and LLMs into education, especially in the context of self-determined learning or heutagogy. The research looks into the role of collaboration, innovation, and adaptability in shaping curricula that prepare students for the fast-paced and dynamic landscape of the future, supported by AI, autonomous systems, and high-performance computing. The significance of problem- or project-based learning and cross-disciplinary collaboration is addressed, as this paper underscores the potential for preparing someone capable of future careers across various sectors. By integrating technology into education, the vision is of a globally connected, skilled, and innovative workforce ready to navigate a rapidly evolving world. Future research in this area might illuminate the potential of collaboration networks to drive sustainable improvements in learning and well-being.
“Debe aguardarse su corrección y enmienda con otra clase de pena”: praxis judicial y sentencias a trabajo contra los ladrones en Ciudad de México (1800-1835)
Authors: Muñoz Cogaría Andrés David
Published: August 2023

El presente artículo tiene por objetivo estudiar la práctica punitiva contra los ladrones de la Ciudad de México desde inicios del siglo XIX hasta finales de la primera república federal. A partir de los fondos del Archivo General de la Nación de México, queda evidenciado que la recurrente administración de penas basadas en el trabajo como las de presidio y obras públicas obedecía a la necesidad de aprovechar mano de obra penada que diera beneficios económicos al gobierno tanto monárquico como republicano. Por otra parte, se analizan las motivaciones de los jueces a la hora de sentenciar, y ya en la etapa del primer federalismo, las motivaciones de la Corte Suprema para proferir una condena ascendente o descendente respecto a la dictada en primera instancia, o dejarla igual.
Black Feminist Thought as a Framework to Mentor Black Women in Higher Education
Authors: Moore Evette L. Allen
Published: August 2023

Black women experience a plethora of challenges in the workplace. Mentoring has been noted as one strategy to assist Black women as they cope with those struggles as well as a strategy to assist Black women with navigating higher education institutions. Black Feminist Thought is used to center the experiences of Black women with attention to their unique and intersecting identities in connection to social and political issues. This chapter will be used to frame mentoring through the lens of what Black women need socially and politically to thrive in the workplace. Themes will be presented from an integrative review of literature on Black Feminist Thought and mentoring. The chapter concludes with implications using intentional frameworks to mentor Black women in the workplace and recommendations for future practice in mentoring Black women.
Organizational Change Models in Practice
Authors: Uyan Umut
Published: August 2023

In a competitive business environment, it is vital that firms consider implementing techniques to cope with constant change to remain competitive and survive. Most change initiatives, however, suffer from several difficulties and are often hampered by resistance, primarily caused by fear of adopting new practices or concern about competence. As a result, such initiatives could result in unintended consequences. In fact, they might result in irreversible situations, impairing the dynamics of an organization. Michelin Shanghai underwent an organizational change initiative to enhance its competitiveness. The initiative resulted in significant improvements in the company's productivity and profitability as well as increased employee satisfaction. The main objective of the study is to understand the organizational change dynamics of Michelin Shanghai Co. The chapter also attempts to evaluate challenges encountered during the process and critically analyze the leadership approaches that were applied by Mr. Ballarin (plant manager of Michelin Co.) based on related theories.
The Effect of Work and Family Conflict on Life Satisfaction
Authors: Aktaş Selda Coşkuner
Published: August 2023

The purpose of this study is to examine the effect of gendered aspects of work and family conflict on life satisfaction. The data were collected from two major public universities in Turkey, and 349 dual-earner family members were reached by using random sampling method. The study employed linear regression analysis to predict the effect of work and family conflict on women's and men's life satisfaction. The regression analysis model explained 21% of the life satisfaction of women while it explained 20% of the life satisfaction of men. According to the findings, women's life satisfaction was predicted by both strain-based work-to-family conflict and strain-based family-to-work conflict. The life satisfaction of men, however, was only predicted by strain-based family-to-work conflict. In light of the results, the contribution of the study to the literature was highlighted.
Service Quality Matters of Private Hospitals in Prevention of Orthopedic Issues During the COVID-19 Outbreak in India
Authors: Rajasekaran Vijay Anand , Jayalakshmi P.  , Gouri M. S.  , Siva Balan R. V.  , Susi S.  , Jothikumar R.  , Kumar K. R.
Published: August 2023

This chapter explores patient satisfaction with healthcare service quality particularly medical and non-medical service quality as a significant component in the appraisal of service quality attention of the COVID-19 outbreak. In this way, this investigation discovers how the patients evaluated service nature of facilities at private medical clinics in India. This examination in private emergency clinics with 300 patients arbitrarily chose from five private medical clinics. Information was gathered utilizing a survey, the legitimacy and dependability of which was affirmed in past examination. The outcomes demonstrated that among eight hypotheses of service quality, the patients were progressively happy with doctor meeting, services expenses, and confirmation process. There was a noteworthy connection between the positive impression of service quality and socio-economic factors in this research process. Most of the patients had positive involvement in visiting facilities and non-medical service quality arrangement.
The mHealth Application Quality
Authors: Gouri M. S. , Gummalla Sridhar , Muntha Raju , Nagarajan M. , Jothikumar R. , Kumar K. R. , Susi S.
Published: August 2023

The mHealth apps have greatly changed the way patients access the healthcare industry. The purpose of the study was to examine whether the use of mobile health apps improves patient experience and behavioural intention. The authors used 179-outpatient experience questionnaire to survey patient experience. The U-test and H-test were employed to compare the different categorical characteristics between mobile health app patients. An examination gives resilient supporting the utilization of mHealth applications for improving patient experience. Versatile wellbeing applications show increasingly exact wellbeing data and straightforward clinical charge data. They likewise furnish patients with more chances to speak with doctors and may improve the connection among doctors and patients. Mobile health app patients in India were younger, better educated, living in urban areas, and had higher demands for specialists. In addition, mobile health app patients gave significantly moderate scores.
Leveraging Social Media Geographic Information for Smart Governance and Policy Making
Authors: Ahmad Munir
Published: August 2023

This chapter explored the use of social media geographic information in governance and policy-making. Social media geographic information has great potential to impact decision-making, citizen engagement, service delivery, crisis management, innovation, policy formation and evaluation, and public opinion assessment. However, challenges such as data quality, privacy concerns, data overload, standardization, limited access, ethics, technical issues, language barriers, and limited geographic coverage also arose. To address these challenges, policymakers should establish clear guidelines, ensure data accuracy, address privacy concerns, manage data overload, and promote ethical practices. Real-world applications in disaster response, traffic management, urban planning, air quality monitoring, disease outbreak tracking, and flood monitoring are also described. By harnessing social media geographic information while addressing challenges, policymakers can make informed decisions that benefit society.
Machine Learning-Based Sentiment Analysis of Mental Health-Related Tweets by Sri Lankan Twitter Users During the COVID-19 Pandemic
Authors: Karunarathna S. P. W. S. K. , Ishanka U. A. Piumi , Kuhaneswaran Banujan
Published: August 2023

The emergence of COVID-19 emanating from Wuhan, China in December 2019 has deeply affected society at every level, impacting areas like public health, social well-being, and local economies globally. The study highlights mental health and its impact on social behavior during pandemics. The authors analyze Sri Lankan individuals' mental health issues through tweets presented using sentiment analysis techniques. A rigorous data preparation process was completed before filtering categorized data into three distinct groups: ‘experience', ‘information', and ‘counseling'. Three different machine learning algorithms were utilized for sentiment analysis, including ANN, LSTM, and SVM. In addition, the Latent Dirichlet Allocation technique was employed to identify topics from tweets during four waves of the COVID-19 outbreak, analyzing people's mental status and identifying conditions present. The findings contribute significantly to the evolving field of psychology during these trying times caused by COVID-19, providing much-needed guidance on implementing relevant support mechanisms.
Identity-Centered STEM Curricula for Black Girls
Authors: Joseph Nicole M. , Erving Christy L. , Ellis Kimberlyn A.
Published: August 2023

This chapter presents data from Black Girls Becoming Summer Research Institute (BGB), a two-week summer residential program for rising seventh and eighth grade Black girls at Vanderbilt University. The program was intentionally designed with Black girlhood celebration and joy as its centripetal force—all instructors, chaperones, volunteers, and even the photographer were Black women. The girls spent two weeks engaging in STEAM workshops that also supported their socio-emotional development while developing academic literacies. Using intersectionality and Black girlhood as lenses for understanding the various learning experiences, the authors present narratives that reclaim educational spaces in Black girls' own images. In so doing, this chapter serves as one model for higher education administrators seeking to expand their STEM footprint within their community as well as researchers interested in the research impacts on student learning outcomes from STEM-related programming.
Developing Consumers' Competencies for Digital Marketing Transitions
Authors: Tran Xuan
Published: August 2023

The issues of mismatching between the feedback and the strategies have deteriorated most businesses in their transitions. The purpose of this chapter is thus to provide an instant digital marketing transition from consumers' feedback to providers' strategies. The three theories of action regulation, actor-network, and motivation are used to direct the solutions and recommendations whereby the feedback has been clustered by the digital Linguistic Inquiry and Word Count into 12 words and transited to 12 marketing strategies. Findings indicated that the feedback words related to “body”, “health”, “risk”, “work”, “friend”, “social”, “adjectives”, “family”, “biological” “drives”, “affect”, and “positive emotion” have been transited to physical handling, fact finding, packaging, product planning, distribution, display, advertising, personal selling, branding, servicing, pricing, and promotion, respectively. Solutions and recommendations have been discussed.
Web 3.0 Revolution in the Finance Industry
Authors: Lekhi Pooja
Published: August 2023

The emergence of Web 3.0, or the decentralized web, has the potential to transform the finance industry. Web 3.0 introduces new technologies such as blockchain, decentralized apps, and smart contracts that enable secure, transparent, and decentralized financial transactions. This can reduce the need for intermediaries, decrease transaction costs, and enhance the speed and efficiency of financial processes. Additionally, Web 3.0 allows for the creation of new financial products and services that were previously impossible, such as decentralized exchanges, NFTs, peer-to-peer lending platforms, and decentralized autonomous organizations. These innovations could democratize access to financial services and provide new opportunities for individuals and businesses alike. However, Web 3.0 also poses challenges for regulators and financial institutions in terms of risk management, compliance, and adapting to new business models.
Understanding the Impact of CBDCs on Financial Stability
Authors: Kaur Guneet
Published: August 2023

The development of digital banking and the introduction of cryptocurrencies have drawn considerable attention to central bank digital currencies (CBDCs) in the global financial system. Policymakers, economists, and business experts are debating the deployment of CBDCs and their effects on financial stability as central banks examine their potential. In order to investigate the possible risks and advantages of CBDCs for financial stability, this study presents a thorough narrative literature review that critically evaluates a wide range of academic publications, reports, and research studies. This study also highlights the necessity of a user-centric financial ecosystem that incorporates Web 3 concepts. It also explores the significance of carefully constructed CBDC frameworks by looking at the potential impacts of CBDC adoption on monetary policy, systemic risks, and banking intermediation.
Regulatory Challenges and Opportunities in Web 3
Authors: Ross Lisa-Marie
Published: August 2023

The novel use of distributed ledger technology (DLT) in the financial sector poses considerable regulatory challenges, such as anonymity, technology neutrality, interconnectedness within the market of virtual assets, as well as with the traditional financial system and new legal risks to regulators around the globe. At the same time, the novelty of DLT for financial uses embodies also significant potential benefits to the financial sector, like innovation, inclusion, and competition. This chapter analyses these challenges and opportunities in detail and subsequently reviews possible regulatory responses at the current stage of virtual asset revolution and financial services innovation. Given the ongoing rapid development in the DLT financial services sphere, the analysis identifies the risk-based regulatory approach as potentially the most universal approach for national/regional regulators with advantages of high flexibility and resource efficiency.
Review Work of Automation Agricultural Robot System Using Machine Learning and Deep Learning
Authors: Rajakumari R. Felshiya , Ramkumar M. Siva
Published: August 2023

An occupation based on automatic system using machine learning and deep learning techniques is developed in this chapter. The agricultural land and automatic systems are worked mutually to defeat the concern by integration with solar panel. This concern is resolved by the automatic system and it is employed very well for the farming procedures, and the automatic technology is cooperative with a high-quality vital role in engineering, medical field, military, etc. The major concern of the manuscript transaction the farming seeds is to lessen the chap authority interference. In this study, humidity sensor designates the earth irrigate contented in the farming field. In this chapter the complete works review with the automatic system by using machine learning and deep learning techniques for farming and weeding the seeds.
Enhancing Tomato Fruit Detection and Counting Through AI-Enabled Agricultural Innovations
Authors: Usha S Gandhimathi Alias
Published: August 2023

This chapter aims to enhance tomato fruit detection and counting in agricultural practices through AI-enabled innovations. Traditional manual methods for fruit detection and counting are labor-intensive and time-consuming. By exploiting AI technologies, such as computer vision and machine learning algorithms, this research proposes an automated system to accurately detect and count tomato fruits in real-time. The system utilizes image processing techniques and trained models to analyze images or videos captured in the field. The proposed approach has the potential to significantly improve efficiency, reduce costs, and increase accuracy in tomato fruit detection and counting, thereby benefiting the agricultural industry.
Crop Prediction for Smart Agriculture Using Ensemble of Classifiers
Authors: Kindra Khushal , Amma N. G. Bhuvaneswari
Published: August 2023

Nowadays due to the advancement in technology, smart agriculture is in the evolving stage. Agricultural farmers worldwide commonly utilize the process of cultivating and harvesting crops to produce food and fiber. Therefore, crop prediction is vital for smart agriculture and the proposed approach involves utilizing all the necessary resources to facilitate crop growth and maintenance. Crop cultivation used to be carried out based on farmers' actual experience. For farmers and agricultural decision-makers to make prompt and accurate judgments that will impact the caliber of agricultural harvests, advanced tools are required. A prediction has been supplanted by machine learning techniques as a result. To anticipate agricultural yield, the authors provide a prediction system based on an ensemble of machine learning classifiers. Also, they discovered that an ensemble technique provided more accurate prediction than using the currently available categorization algorithms.
Smart Crop Protection System From Wild Animals Using Artificial Intelligence
Authors: Mudengudi Shailaja S. , Patil Muktha S. , Mudaraddi Neetha S.
Published: August 2023

The first major threat to the farmers is drought. Crop vandalization by animals is the second major threat after drought. Crops are vulnerable to animals. Therefore, it is very important to monitor the nearby presence of animals. The main aim of this project is to provide a better solution in order to resolve this problem. In this chapter, the authors proposed a method which could detect the presence of animal and offer a warning. They used a microcontroller and camera to detect the movement of animals, and send signal to the controller. It diverts the animal by producing sound; and, further, a signal is transmitted to GSM which gives an alert to the owner of the crop immediately. The proposed monitoring scheme is to provide an early warning about possible intrusion and damage by animals.
Integrated Control Strategies for Helminth Parasites in Livestock
Authors: Abdullah Iram , Tak Hidayatullah
Published: August 2023

Parasitic infections are highly prevalent among livestock occurring in one-fourth of farm animals annually. In animal husbandry, chemotherapy is the more successful technique used in mitigating parasitism; although, safe, effective, and economical, its deleterious and debilitating side effects make it necessary to explore alternative disease control strategies. Presently, researchers are examining integrated initiatives that may involve a trifecta of grazing management, biological control, and parasite vaccination programs. Experimental studies and veterinary practice suggest vaccination may be the most effective procedure employed in controlling parasites. Proteomic research has provided viable pathways for the integrated control of parasites resulting in the identification of proteins with promising immunostimulatory properties. In vivo vaccination programs involving several candidate antigens show promising efficacy results. This chapter attempts to review and hopefully consolidate available strategies for parasite control within the context of vaccine development.
Seaweed
Authors: Suresh J. Immanuel , Sri Janani M. S.
Published: August 2023

A preponderance of research suggests that marine organisms are a veritable resource of metabolites critical in the drug discovery and development process. Typically, seaweeds produce a plethora of compounds that exhibit anti-inflammatory, antimicrobial, antiviral, anticancer, and antifungal properties. Studies on seaweed phytochemicals show that they possess an array of pharmacological properties that include antioxidative, immunostimulatory, and antitumor activity. Certain algae such as Ulva reticulata, Caulerpa occidentalis, Cladophora socialis, Dictyota ciliolate, and Gracilaria dendroides produce phlorotannins, diterpenoids, sterols, quinines, etc. These compounds are believed to have significant potential in the synthesis of investigational new drugs that will lead to the development of medicines that are safe, affordable, and effective in the prevention, management, and treatment of a broad spectrum of diseases and comorbidities. Consequently, this brief overview complements ongoing other exploratory studies propounding the utilization of CAM products in disease therapy.
Therapeutic Potential of Medicinal Plants in the Management and Treatment of Severe Acute Respiratory Syndrome 2 (SARS CoV-2 [COVID-19])
Authors: Towarane Sarika Daulatrao , Ahirrao Sapana Prabhakar
Published: August 2023

Severe Acute Respiratory Syndrome 2 (SARS CoV-2 [COVID-19]) is a single-strand RNA virus with numerous structural proteins that facilitate entry into the host and assist in virus replication. The rapid transmission of COVID-19 amongst disparate demographics in the world is alarming and of immediate global concern. As of November 2022, COVID-19 mortality and morbidity stood at 6.6 million and 638 million persons, respectively. Literature expounds the promise of medicinal plants in the prevention, management, and treatment of certain diseases and comorbidities. Natural products may find utility in providing relief to COVID-19 patients exhibiting mild to severe symptomatology. Natural remedies are safe and possess a low toxicity profile when compared to synthetic drugs. Tinospora cordifolia (Giloy), Withania somnifera (Ashwagandha), and Dashamula, etc. are some of the medicinal plants believed to be safe and effective in the treatment of COVID-19. Phytochemical compounds isolated from these plants show promising therapeutic indications against coronavirus by inhibiting Mpro or 3CLpro proteins.
Multiple Perspectives of Participatory Autoethnography
Authors: Dhungana Sandip , Pant Binod Prasad , Dhungana Parbati
Published: August 2023

This chapter explores the multifaceted nature of participatory autoethnographic research. The three researchers adapted two research designs: participatory action research and autoethnography making the journey, from ‘'I' to ‘we' and vice versa, and the transformative changes that begin with self is the first step toward the participatory autoethnographic study. The informing nature of one methodological approach to another which covers the limitation of both research methodologies on the journey of human flourishing has been linked with the teaching and learning process as a form of transformative teachers' professional development. Participatory autoethnographic inquiry helps to balance knowledge and wisdom which often are a mixed or overlooked dimension in the research process. The finding states that the different ways of knowing and their contribution to educational practices are blended for this research, which helped to acknowledge the voices of all the key stakeholders in the process of the transformative journey from conventional practitioner to transformative one.