bluuebunny/crossref_metadata_2025 huggingface dataset:
Determining the impact of the CRM system on the financial indicators of the enterprise using econometric methods
Authors: PRYKHODCHENKO Oksana , PISTUNOV Ihor
Published: March 2024

CRM systems help to improve customer relationship management, provide an opportunity for more accurate sales forecasting, optimization of marketing campaigns and increase in overall customer satisfaction.
The purpose of the paper is to determine the impact of the CRM system on the financial indicatots of the enterprise.
The study is based on the methods of econometric modeling, system analysis, financial analysis, works of domestic and foreign scientists, materials from periodicals, and data from the financial statements of the enterprise.
A correlation analysis was conducted between the selected independent indicators to determine the degree of their relationship. Based on this, it was determined which factors have the highest correlation with each other, which made it possible to focus on the most important aspects of financial management. A regression multivariate model of the relationship between such factors as inventory, accounts receivable, sales costs, other operating expenses, and the resultant indicator - net working capital (NWC) - is built.
The significance of the model as a whole and the significance of the regression coefficients are determined.
It is predicted that the net working capital of the enterprise in 2023 will be less than in 2022, which is due to factors such as a high level of accounts receivable, sales costs and other operating expenses. After the integration of the CRM system, the company implemented a number of measures aimed at improving the management of these factors. In particular, the company introduced automation of receivables management processes, optimized sales and other operating expenses.
As a result of these measures, the company's NWC increased at the end of 2023. This is confirmed by both the econometric model and the actual results.
Research of the modern state of railway transportation of freight
Authors: BORMOTOVA Maryna , MASHOSHYNA Tetiana , TROINIKOVA Olena
Published: March 2024

Railway transport in the overall transport potential plays a decisive role, ensuring logistics processes in the country. In the conditions of extraordinary events such as military actions, social upheavals, natural disasters, man-made disasters, railway transport provides the economic and social needs of the country, thanks to its reliability.
The current state of railway freight transportation in Ukraine, the structure of transportation, and its adaptation to modern conditions have been studied.
The advantages of railway transportation include: - the possibility of sending a large volume of cargo; - saving time when passing dimensional and weight control; - independence from weather conditions; - cost of transportation.
With the beginning of the russian aggression, logistical connections were lost. all Ukrainian farmers faced the problem of grain transportation and export. The grain cargo was concentrated on the borders with European countries. The main technical reasons for the limited ability to transport export goods through the western crossings: - different width of the railway track - in Europe it is 1435 mm, while in Ukraine - 1520 mm.; - shortage of transshipment capacities at the border; - lack of rolling stock; - limited capacity of certain sections of foreign railways; - presence of weight restrictions; - insufficient number of carriages for repositioning.
In August 2023, there were positive changes to overcome the decrease in cargo exports that occurred due to port blockades. Polish and Ukrainian railways agreed on joint work on the development of passenger and freight rail transport between the countries in order to increase the export-import potential. The formation of a long-term strategy regarding the possibility of expanding railway corridors to Baltic ports has begun.
During 2022, the railway suffered losses; - the acquisition of their own parks by farmers led to a surplus of railway containers; - the increase in tariffs for freight transportation did not compensate for the losses of the railway; - changes in the tariffs for railway transportation led to an increase in transportation by road transport.
Expository Details On Summary Skills in English Language for Beginners
Authors: Ajayi Oyedokun Samuel
Published: March 2024

It is not everything said in the classroom that can be represented during an examination session that has a limited duration of which learners must answer questions on a particular subject, the study therefore provides expository tips that are necessary to assist learners in summary skills. Summary skills are important to propel learners to reduce lengthy passages into cogent manageable proportions without losing the vital contents. In achieving this, basic concepts like comprehension, punctuation marks, outlining, paragraphs and tenses are encouraged to be mastered by learners to aid their summary skill.
Abordaje Integral en un Anciano con Enfermedad de Alzheimer: Un Reporte de Caso Clínico
Authors: Siguenza Vallejo Steven Alejandro , Toro Sánchez Gianella Lisseth
Published: March 2024

Paciente masculino de 69 años, ciudadano ecuatoriano y viudo de etnia mestiza, presenta estudios secundarios incompletos y se encuentra bajo la supervisión filial. Desde el año 2019, evidencia un abrupto déficit en funciones cognitivas superiores y alteraciones en el estado de ánimo que se mantienen aproximadamente 18 meses. Luego de una evaluación psiquiátrica, se formula un diagnóstico conforme a los criterios de la Clasificación Internacional de Enfermedades, 10.ª edición (CIE-10), con el código correspondiente a F00* Demencia en la enfermedad de Alzheimer (G30.–†). El paciente es ingresado en una institución gerontológica en octubre de 2022, marcando el inicio del contacto con el consultante. La evaluación psicológica fundamenta un plan de intervención con enfoque integrativo, amalgamando técnicas como estimulación cognitiva, terapia de reminiscencia, orientación a la realidad y técnicas de relajación. Las particularidades del caso, como el estadio avanzado de la enfermedad y la sintomatología preponderante, impiden la consecución plena de los objetivos terapéuticos establecidos al inicio de la intervención. A pesar de ello, se constata una mejoría en el estado de ánimo del paciente.
Acquired Forms of Fibroblast Growth Factor 23-Related Hypophosphatemic Osteomalacia
Authors: Ito Nobuaki , Hidaka Naoko , Kato Hajime
Published: March 2024

Fibroblast growth factor 23 (FGF23) is a pivotal humoral factor for the regulation of serum phosphate levels and was first identified in patients with autosomal dominant hypophosphatemic rickets and tumor-induced osteomalacia (TIO), the most common form of acquired FGF23-related hypophosphatemic rickets/osteomalacia (FGF23rHR). After the identification of FGF23, many other inherited and acquired forms of FGF23rHR were reported. In this review article, the detailed features of each acquired FGF23rHR are discussed, including TIO, ectopic FGF23 syndrome with malignancy, fibrous dysplasia/McCune-Albright syndrome, Schimmelpenning-Feuerstein-Mims syndrome/cutaneous skeletal hypophosphatemia syndrome, intravenous iron preparation-induced FGF23rHR, alcohol consumption-induced FGF23rHR, and post-kidney transplantation hypophosphatemia. Then, an approach for the differential diagnosis and therapeutic options for each disorder are concisely introduced. Currently, the majority of endocrinologists might only consider TIO when encountering patients with acquired FGF23rHR; an adequate differential diagnosis can reduce medical costs and invasive procedures such as positron emission tomography/computed tomography and venous sampling to identify FGF23-producing tumors. Furthermore, some acquired FGF23rHRs, such as intravenous iron preparation/alcohol consumption-induced FGF23rHR, require only cessation of drugs or alcohol to achieve full recovery from osteomalacia.
Estudio bibliométrico sobre el desarrollo de observaciones por pares en aulas escolares en Scopus (2012-2022)
Authors: Ferrada Ferrada Cristian
Published: March 2024

Este artículo presenta los resultados de un análisis bibliométrico en la base de datos Scopus sobre la observación por pares en el aula. Para ello, se utilizan palabras clave extraídas de la literatura y del Tesauro de la UNESCO: observación entre pares, evaluación formativa, retroalimentación, evaluación, aprendizaje de estudiantes y profesores, retroalimentación, evaluación por pares. Se analiza un total de 308 documentos, con apoyo de los softwares Biliometrix y VOSviewer. Entre los resultados se destacan dos etapas de desarrollo; una en 2018 como momento inicial y de fuerte productividad, y otra en 2021 compuesta de dos grandes nodos relacionados con otros menores, entre los que destacan conceptos como: humans, human y education; las áreas de estudio más intensas en producción son ciencias sociales (280), psicología (42), artes y humanidades (30). Al analizar el área geográfica en donde se produce el mayor número de trabajos investigados, Estados Unidos y Europa mantienen una clara predominancia en productividad científica establecida en la base de datos Scopus. Finalmente, considerando el lapso de los temas identificados en este estudio, es necesario realizar más investigaciones sobre el uso de nuevas herramientas en el desarrollo de investigación de observaciones por pares en aulas escolares y su trabajo práctico.
Study of Physiological and Pharmacological Properties of Hydrochlorothiazide Schiff Base and its Metal Ion Complex
Authors: Setpalani Khushi , Pandit Deepak , Vikraman Pillai Shraddha , Ghosh Suparna
Published: March 2024

The current study focuses on the synthesis and the biological evaluation of Schiff base metal complex produced from the diuretic drug Hydrochlorothiazide. The bidentate ligand is produced by inserting salicylaldehyde into a 1:1 molar ratio and condensing 6-chloro-1,1-dioxo-3,4-dihydro-2H-1λ6,2,4-benzothiadiazine -7-sulfonamide. Complex of Co(II) with general formula ML2 have been produced using this bidentate ligand. We examined the antibacterial properties of the produced compounds. The results that were achieved were compared with the original medicine, hydrochlorothiazide. The compounds exhibited enhanced antibacterial assay, with the Co(II) complex demonstrating especially strong activity. The ligand and its complex Co(II) were also screened for the invivo Diuretic techniques.
Asphericity of the Base of the Solar Convection Zone
Authors: Basu Sarbani , Korzennik Sylvain G.
Published: March 2024

We have used solar oscillation frequencies and frequency splittings obtained over solar cycles 23 and 24 to investigate whether the base of the solar convection zone shows any departure from spherical symmetry. We used the even-order splitting coefficients, a
2–a
8, and estimated the contributions from each one separately. The average asphericity over the two solar cycles was determined using frequencies and splittings obtained with a 9216-day time series. We find that evidence of asphericity is, at best, marginal: the a
2 component is consistent with no asphericity, the a
4 and a
6 components yield results at a level a little greater than 1σ, while the a
8 component shows a signature below 1σ. The combined results indicate that the time average of the departure from the spherically symmetric position of the base of the convection zone is ≲0.0001R
⊙. We have also used helioseismic data obtained from time series of lengths of 360, 576, 1152, and 2304 days in order to examine the consistency of the results and evaluate whether there is any time variation. We find that the evidence for time variation is statistically marginal in all cases, except for the a
6 component, for which tests consistently yield p-values of less than 0.05.
Probing Supermassive Black Hole Seed Scenarios with Gravitational-wave Measurements
Authors: Ellis John , Fairbairn Malcolm , Urrutia Juan , Vaskonen Ville
Published: March 2024

The process whereby the supermassive black holes (SMBHs) populating the centers of galaxies have been assembled remains to be established, with the relative importance of seeds provided by collapsed Population III stars, black holes formed in nuclear star clusters via repeated mergers, or direct collapses of protogalactic disks yet to be determined. In this paper we study the prospects for casting light on this issue by future measurements of gravitational waves emitted during the inspirals and mergers of pairs of intermediate-mass black holes (IMBHs), discussing in particular the roles of prospective measurements by LISA and the proposed atom interferometers AION and AEDGE. We find that the expected number of detectable IMBH binaries is

O
(
100
)

for LISA and AEDGE and

O
(
10
)

for AION in low-mass seeds scenarios and goes down to

O
(
10
)

for LISA and below one for AEDGE and AION in high-mass seed scenarios. This allows all of these observatories to probe the parameters of the seed model, in particular, if at least a fraction of the SMBHs arises from a low-mass seed population. We also show that the measurement accuracy of the binary parameters is, in general, best for AEDGE, which sees very precisely the merger of the binary.
Exploring Ginger as Botanical Pesticides for Sustainable Maize Protection, Economic Growth, and Landscape Planning Strategies for Maize in North Sumatra, Indonesia
Authors: Siregar Rahmad Syukur , Bangun Imam Hartono , Saleh Arifin , Silalahi Marina , Apriyanti Ira , Kamaludin Mahirah , Hussein Abogazia Abdellatif
Published: March 2024

Maize production in Indonesia faces a significant challenge from the emerging threat of Spodoptera frugiperda, leading to heavy reliance on chemical control methods. Unfortunately, this results in high residue levels, impacting human health and the environment. Addressing this, ginger emerges as a botanical insecticide, presenting a solution to mitigate these negative consequences. Evaluating the botanical insecticide industry's export and import values reveals its potential contribution to economic growth, enhancing national income and societal prosperity. This article addresses the maize armyworm problem through ginger-derived botanical pesticides, evaluating economic benefits and exploring the feasibility of ginger-based formulations, considering economic factors and landscape planning. The systematic review, following the PRISMA-P methodology, ensures a transparent analysis of scientific production in four stages: identification, screening, feasibility assessment, and inclusion. Recent research highlights ginger's efficacy in pest management, emphasizing ecological benefits and sustainable practices. Ginger-based botanical pesticides support environmental sustainability and offer positive economic potential. A holistic maize farming approach in North Sumatra forms the foundation for productive and eco-friendly agriculture. Training in pest management is crucial for maximizing economic benefits and ensuring sustainable ginger-based botanical pesticide application. The amalgamation of scientific research and ginger-based practices offers a model for effective, economical, and sustainable farming.
Illustrated review of Mormon cricket Anabrus simplex (Tettigoniidae, Tettigoniinae) embryonic development
Authors: Srygley Robert B. , Senior Laura B.
Published: March 2024

Mormon crickets Anabrus simplex Haldeman, 1852 are a pest of crops and rangeland in the western United States, but little is known about their development in the egg stage. Mormon crickets have multiple states at which they may diapause and thus affect population growth. Consequently, a series of photographs of Mormon cricket embryonic stages was organized using published research on Old World katydids. Earlier stages were more difficult to distinguish without removing the chorion. However, where possible, features that can be seen through the chorion are indicated with the expectation that these will be useful in characterizing development in living embryos. As with other Orthoptera, the timing of development varied greatly among individuals, but at a minimum, embryos filled approximately half the egg in six weeks, whereas they required 12 weeks from oviposition to reach the final stage before their obligate winter diapause.
Translating Person-Centered Care Policy Into Practice: A Pre-Post Study of a Work-Based Learning Intervention for Nurses
Authors: Todd Jo-anne , Shanahan Brenton , Del Fabbro Letitia , Armit Lyn , Grealish Laurie
Published: March 2024

Background:

Person-centered care is critical to quality health care, but difficult to implement. This challenge is attributed to cultural factors derived from group values about work practices. Work-based educational interventions allow nurses to develop shared meanings of practice, in this case, promoting the value of person-centered care.

Method:

A 30-minute, work-based educational intervention incorporating reflection on videorecorded practice scenarios was evaluated with a quasi-experimental pre-post design. Nurses (
N
= 119) completed a survey, including a subset of 16 items from the Person-Centred Practice Inventory-Staff, before and immediately after the intervention.

Results:

Nurses' awareness of what patients value about their care, the importance of connecting with the patient, and the value of integrating human elements into actions increased after the intervention. Nurses' perceptions of how they would include patients and their preferences in care decisions did not significantly change.

Conclusion:

Educational techniques that allow nursing teams to reflect on practice may help with implementation of person-centered care.

[
J Contin Educ Nurs.
2024;55(6):303–308.]
A Cost Analysis of Surgical Approach in Total Hip Arthroplasty
Authors: Cochrane Niall H. , Wixted Colleen , Kim Billy , Kelly Patrick J. , Bolognesi Michael P. , Holst David , Wellman Samuel , Ryan Sean P.
Published: March 2024

Background:

With pressures to decrease the financial burden of total hip arthroplasty (THA), it is imperative to understand the cost drivers of this procedure. This study evaluated operative and total encounter costs for two surgical approaches to THA—posterior (P) and direct anterior (DA).

Materials and Methods:

A total of 233 THAs (134 P and 99 DA) performed by two fellowship-trained arthroplasty surgeons from 2017 to 2022 were reviewed. Demographics, comorbidities, mobility status, operative time, length of stay, implants used, discharge location, and complications until final follow-up were recorded. Total encounter cost was collected and itemized. Multivariable regression analyses evaluated predictors of cost.

Results:

There were differences in age (67 years for DA and 63 years for P;
P
=.03), body mass index (28.0 kg/m
2
for DA and 33.8 kg/m
2
for P;
P
<.01), Elixhauser Comorbidity Index score (4.6 for DA and 5.6 for P;
P
=.04), and operative time (2.1 hours for DA and 1.9 hours for P;
P
<.01) between the two cohorts. The DA cohort trended toward shorter length of stay, with the highest percentage of patients discharged home (86.9%;
P
=.02). The P cohort had the lowest encounter ($9601 for DA and $9100 for P;
P
=.20) and intraoperative (including implant used) ($7268 for DA and $6792 for P;
P
<.01) costs. The DA cohort had a significantly higher cost of radiology during the encounter ($244;
P
<.01). Regression analysis demonstrated that length of stay and DA approach were both predictors of increased encounter cost.

Conclusion:

The DA cohort had improved measures of health; however, this approach was associated with a higher operative cost and was predictive of increased encounter cost despite a shorter length of stay. [
Orthopedics
. 2024;47(3):e151–e156.]
Anterior Segment Biometry During Accommodation After Posterior Chamber Phakic Implantable Collamer Lens Implantation
Authors: Zhang Guang-Ming , Zhao Li-Jun , Xie Hua-Tao , Wu Ming-Feng
Published: March 2024

Purpose:

To evaluate the dynamic changes in anterior segment parameters during accommodation following Implantable Collamer Lens (ICL) implantation with swept-source optical coherence tomography (SS-OCT).

Methods:

Under the accommodation of 0.00 diopters (D), 3.00 D, and maximum amplitude, SS-OCT was used to examine the anterior segment parameters, including ICL vault, ICL depth (the distance between the corneal endothelium and the posterior surface of ICL), crystalline lens thickness, anterior chamber depth, and various parameters of the anterior chamber angle, comprising angle opening distance, angle recess area, trabecular iris space area, and trabecular iris angle.

Results:

During accommodation, the ICL vault showed a significant decrease from baseline (536 ± 278 μm) to 3.00 D (522 ± 281 μm), followed by an increase from 3.00 D to maximum amplitude (548 ± 306 μm) (analysis of variance [ANOVA],
P
< .001). Four eyes (2.61%) exhibited a decrease in ICL vault to less than 100 μm (47 ± 32 μm) at maximum accommodation. The ICL depth decreased significantly as accommodation increased (ANOVA,
P
< .001). Crystalline lens thickness increased, whereas anterior chamber depth decreased during accommodation (ANOVA,
P
< .001). The anterior chamber angle widened during 3.00 D of accommodation but narrowed at maximum accommodation, leading to significant changes in the angle opening distance, angle recess area, trabecular iris space area, and trabecular iris angle during accommodation (ANOVA,
P
< .001 for all).

Conclusions:

The anterior segment, including ICL vault and anterior chamber angle, undergo significant dynamic changes during accommodation. These accommodative changes may require careful monitoring for the surgery design of ICL implantation.

[

J Refract Surg

.
2024;40(3):e164–e172.]
The dynamics and control of an ISCRM fractional-order rumor propagation model containing media reports
Authors: Yue Xuefeng , Zhu Weiwei
Published: March 2024

Modern social networks are especially beneficial for spreading rumors since they perform as multichannel communication platforms. The spread of false information has a detrimental impact on people, communities, and businesses. Media reports significantly affect rumor propagation by providing inhibiting factors. In this paper, we propose a new ISCRM fractional-order model to analyze the law of rumor propagation and provide appropriate control strategies. First, under fractional differential equations, the boundedness and non-negativeness of the solutions are obtained. Second, the local and global asymptotic stability of the rumor-free equilibrium and rumor-permanence equilibrium are proved. Third, employing Pontryagin's maximum principle, the conditions necessary for fractional optimum control are derived for the rumor model, and the optimal solutions are analyzed. Finally, several numerical simulations are presented to verify the accuracy of the theoretical results. For instance, while media reports can mitigate the propagation of rumors across various dynamic regions, they are unable to completely restrain rumor spread.
Efficient implementation of the hybridized Raviart-Thomas mixed method by converting flux subspaces into stabilizations
Authors: Anantharamu Sreevatsa , Cockburn Bernardo
Published: March 2024

We show how to reduce the computational time of the practical implementation of the Raviart-Thomas mixed method for second-order elliptic problems. The implementation takes advantage of a recent result which states that certain local subspaces of the vector unknown can be eliminated from the equations by transforming them into stabilization functions; see the paper published online in JJIAM on August 10, 2023. We describe in detail the new implementation (in MATLAB and a laptop with Intel(R) Core (TM) i7-8700 processor which has six cores and hyperthreading) and present numerical results showing 10 to 20% reduction in the computational time for the Raviart-Thomas method of index $ k $, with $ k $ ranging from 1 to 20, applied to a model problem.
L’Algérie dans la littérature de la diaspora chilienne d’origine palestinienne : Dernier nid pour les cigognes (2019) d’Adriana Lassel
Authors: Lassus Jean-Marie
Published: March 2024

Dernier nid pour les cigognes, est le récit à deux voix des drames collectifs et personnels d’une famille de Palestiniens et de leurs exils, au gré des vents violents de l’histoire, du Chili à l’Algérie. La vie à Alger et les paysages de l’Algérie où ils doivent fuir après le coup d’Etat de Pinochet les conduiront progressivement à la prise de conscience que le bonheur existe, même dans la douleur de l’exil. Adriana Lassel, elle-même d’origine chilienne, mariée à un Algérien, nous livre à travers ce roman l’impact d’un pays qui s’est révélé à elle dans son passé et son présent, lui permettant de porter un autre regard sur le monde. Quête du bonheur malgré la tragédie, entre la barbarie de la dictature chilienne et la sociabilité réparatrice de l’Algérie, Dernier nid pour les cigognes est aussi une évocation lyrique de la terre algérienne.
Future Perspectives of Artificial Intelligence in Various Applications
Authors: Suriyan Kannadhasan , Nagarajan R. , Sundaravadivazhagan B.
Published: March 2024

AI technology has a lengthy history and is continually evolving and expanding. It focuses on intelligent agents, which are composed of gadgets that observe their surroundings and then take appropriate action to increase the likelihood that a goal will be achieved. In this chapter, the authors discuss the fundamentals of contemporary AI as well as a number of illustrative applications. Artificial intelligence (AI) is the ability of computers, computer programmes, and other systems to mimic human intelligence and creativity, autonomously come up with solutions to issues, be able to reach judgements, and make choices. Additionally, there are ways in which existing artificial intelligence outsmarts humans. Additionally, it will examine the forecasts for artificial intelligence and provide viable solutions to address them in the next decades.
“Better Than Human” in Partnership With AI
Authors: McCleskey Jim A. , Melton Rebecca M.
Published: March 2024

The onset of COVID-19 brought about a significant transformation in higher education (HE), expediting an ongoing evolution and compelling institutions and educators to cultivate the necessary skills for effective online delivery and resource provision. Insights from student experiences during the spring of 2020 indicated that institutions faced challenges in their transitions, revealing deficiencies in crucial aspects such as online instructor presence, social interaction among instructors and students, and instructor immediacy. This chapter suggests instructional practices and technology approaches within HE from a community of inquiry (CoI) perspective to enhance student engagement and instructor presence. The trajectory of HE is persistently shifting towards advanced technology, aiming to expand, streamline, and enhance student engagement and interaction, all while introducing innovative methods to enhance instructor presence. The authors urge HE institutions to adopt and refine various techniques to elevate the student experience.
Gamification and Personalised Learning
Authors: Yadav Preksha
Published: March 2024

Gamified personalized learning (GPL) has emerged as a promising approach to enhance student engagement and promote positive learning outcomes in higher education. This study investigated the effectiveness of GPL by comparing its impact on student engagement to that of traditional non-gamified personalized learning (non-GPL) in a higher education setting. The study employed a two-way ANOVA and regression analysis to examine the effects of group (GPL vs. non-GPL) and time (pre-test vs. post-test) on engagement scores. The results indicated a significant positive effect of GPL on engagement. Additionally, the increase in engagement scores from pre-test to post-test was greater for the GPL group. Regression analysis revealed that points, badges, and leaderboards were all significantly positively correlated with engagement scores. These findings suggest that GPL can be a valuable tool for enhancing student engagement and promoting positive learning outcomes in higher education.
Meta Analysis of the Impact of the Flipped Classroom on Secondary Students' Mathematics Performance
Authors: Pogoy Angeline Mag-Aso , Boholano Helen B. , Cabanilla Jr. Angelito , Dapat Lelani , Plaisent Michel
Published: March 2024

This meta-analysis assesses the effect of flipped classroom on secondary students' mathematics performance. Seven scholarly electronic databases were used to identify the papers published in English language journals on flipped classroom in secondary students' mathematics performance through Google Scholar, Scopus, Proquest, PDF Drive, core.ac.uk, archive.org, elephind.com databases published in 2013 for 2021. With the use of inclusion and exclusion criteria, 15 published research articles were included in the meta-analysis using the preferred reporting items for systematic reviews and meta-analyses (PRISMA). A publication bias showed a positive result in students' mathematics performance. No published studies had shown negative results in secondary students' mathematics performance using flipped classroom as a strategy in teaching. Using larger scope of moderating variables with balanced statistical results in utilizing flipped classroom as a strategy in math instruction may provide more insights that are evidence-informed application and teaching practice.
Teaching the Political and Media Discourse at the Secondary Level Schools
Authors: Alexandropoulos Georgios
Published: March 2024

After the coronavirus pandemic, many teachers and students received training in the use of digital tools. These tools are increasingly being utilized, and in conjunction with other methods, they facilitate learning. Through various didactic scenarios, students will acquire the knowledge necessary for political studies, mass communication, media and political discourse, as well as persuasion techniques and strategies. Additionally, this teaching approach will not only foster critical thinking but also develop digital literacy skills.
Machine Learning and Decision-Making
Authors: Socorro Márquez Félix Oscar
Published: March 2024

At the end of the 1950s, the possibility of machine learning in computers began to be discussed. After more than half a century, thanks to technological advances, machine learning is more than a reality; it is a tool that supports different fields, such as education, business, science, and management. This chapter explores how machine learning takes place in decision-making, especially in the managerial field, and the advantages that it offers when studying scenarios, choosing strategies, exploring the possible consequences of our actions, and/or predicting the likely responses of the parties involved in a specific situation.
Fueling Healthcare Transformation
Authors: Kaur Jaspreet
Published: March 2024

A substantial transformation in the healthcare industry is being fueled by quick technological advancements, changing patient needs, and the need for better outcomes and efficiency. This change is being driven by the dynamic interaction between venture capital investment, innovation ecosystems, and healthcare entrepreneurs. Entrepreneurs and venture capitalists play a critical role in fostering innovation across all facets of healthcare. Venture capital firms and healthcare entrepreneurs working together is becoming a significant force behind disruptive transformation. This collaboration has produced ground-breaking solutions in the areas of telemedicine, digital health, personalised medicine, and healthcare delivery models. This chapter offers a thorough analysis of this transformational nexus and its potential to change the way healthcare is delivered in the future, eventually enhancing the well-being of society at large.
Heavy Metals in Foodstuffs
Authors: Biswas Hari Shankar , Poddar Sandeep
Published: March 2024

Heavy metal contamination in foodstuffs poses a significant threat to human health worldwide. This chapter depicts sources, bioaccumulation mechanisms, and associated health risks of heavy metals in various food items. Metals such as lead, cadmium, mercury, and arsenic find their way into the food chain through natural processes, industrial activities, and agricultural practices. Once ingested, these metals tend to accumulate in human tissues, leading to severe health consequences. This chapter also explores the various remediation strategies employed to mitigate heavy metal contamination in food, including agricultural practices, phytoremediation, bioremediation, and technological interventions. The issue of heavy metal contamination in foodstuffs requires a multidisciplinary approach that combines scientific research, policy interventions, and public awareness. Implementing stringent regulations, promoting sustainable agricultural practices, and investing in innovative remediation technologies are crucial steps toward ensuring food safety and safeguarding public health.
Anticancer Activity of Flavonoids
Authors: Azad Abul Kalam , Dayoob Mohamad , Zohera Fatema Tuz
Published: March 2024

Flavonoids like the synthetic flavone, flavopiridol; the soy isoflavonoid, genistein; the tea catechin epigallocatechin gallate; or the common dietary flavonol, quercetin, are emerging as prospective anticancer drug candidates and some of them have already entered in clinical trials. A positive correlation between flavonoids-rich diet and lower risk of colon, prostate and breast cancers lead to a question that whether flavonoids mediate the protective effects as chemopreventive agents or can interact with different genes and proteins to play role in chemotherapy. Flavonoids modulate reactive oxygen species (ROS)-scavenging enzyme activities, participate in arresting the cell cycle, induce apoptosis, autophagy, and suppress cancer cell proliferation and invasiveness. Flavonoids have dual action regarding ROS homeostasis—they act as antioxidants under normal conditions and are potent pro-oxidants in cancer cells triggering the apoptotic pathways and downregulating pro-inflammatory signaling pathways.
Past, Present, and Future of Alkaloid-Based Anticancer Agents
Authors: Perera W. H. P. A. D. , Senadeera Mithuni N. , Udukala Dinusha N.
Published: March 2024

Alkaloids are defined as a group of naturally occurring compounds that contain at least one nitrogen atom in their heterocyclic ring. They are abundant in nature, and are a source of pharmacologically significant compounds. This chapter provides an overview of the past, present, and future of the anticancer activity of these secondary metabolites. Based on their chemical structure, biological activity, and pathways of biosynthesis, they can be classified into different classes and are investigated for their anti-cancer properties. The action of alkaloids depends on how they target the cancer cells, their interactions with cellular components, their impact on cell cycle regulation, apoptosis induction, and angiogenesis inhibition. Numerous scientific advancements have been achieved over the years to enhance their efficacy and reduce their resistance to these alkaloids. Although these naturally occurring compounds have contributed remarkably to cancer treatment, there are challenges and limitations present. Hence, future perspectives of alkaloids are being investigated.
Phytochemical and Biological Properties of Anticancer Medicinal Plants From India
Authors: Lakkoju Babi , Asuthkar Swapna , Rambabu Gundla , Balakrishna Kolli
Published: March 2024

One of the most dreadful medical conditions in the entire world is cancer, which is the second leading cause of mortality globally. The rising threat of cancer that are resistant to treatment highlights the urgent need for the development of more potent anticancer medicines because of the drawbacks and expense of standard therapy. Alternatives to contemporary cancer treatments, like herbal medicine are fairly affordable, and few plant-based medications are used to treat it. In-vitro and in-vivo studies are conducted on the phytochemicals to determine how they work to prevent cancer. This chapter provides an overview of prospective outcomes for anticancer chemicals obtained from plants in the Indian region. Many research has confirmed the anticancer efficiency of the Phytochemicals that are extracted from plants and demonstrated that these have an essential role in battling various cancer cell lines such as breast, stomach, oral, colon, lung, hepatic, cervical, and blood cancer cell lines.
In Vitro Antioxidant and In Vitro Cytotoxic Potentials of Ancardium occidentale Linn. Against Hep G2 Cell Lines
Authors: Shobana G. , Agnel Arul John N. , Hariharan G. , Sridharan G.
Published: March 2024

Cancer is a disease in which there is an uncontrolled multiplication and spread, within the body, of abnormal forms of the body's own cells. The Ethanol extract (EEAO) of Anacardium occidentale Linn was used for In-Vitro anticancer screening against HepG2 cell lines.Preliminary phytochemical analysis of the test drug was carried out and it revealed the presence of Tannin, Terpene, Quinone, Coumarin, Phenol. The results revealed that the extracts have significant Antioxidant potentials. In- vitro cytrotoxic assay such as tryphan blue dye exclusion, MTT and LDH releasing assays were carried out against liver cancer cell line (HepG2). The results showed that the ethanol extract of Anacardium occidentale L. has potent anticancer potentials. From the study it was concluded that the ethanol extract of Anacardium occidentale L. showed significant free radical scavenging and anticancer activity against HepG2 cell line.
Virtual Insights, Real Solutions
Authors: Kaur Jaspreet
Published: March 2024

Augmented reality (AR) has the potential to fundamentally transform healthcare, offering a significant change in the way medicine is practiced. The present study examines the profound capacity of augmented reality (AR) and traces its path in the fields of diagnostics, surgical accuracy, medical instruction, and patient involvement. The combination of AR's virtual insights with practical applications in the real world represents extraordinary progress in the field of healthcare delivery. AR is playing a crucial role in transforming medical practices by improving surgical navigation and enabling immersive simulations for medical education. AR apps that prioritise the needs and experiences of patients promote improved comprehension and involvement, fundamentally transforming the process of patient care.
Artificial Intelligence in Medical Imaging by Machine Learning and Deep Learning
Authors: Rahate Kalpana Pravin , Sengar Mridul Singh , Patel Sakshi
Published: March 2024

The aim of this chapter is to introduce and discuss on new approaches to machine learning (ML) and deep learning (DL) in the context of medical image analysis. This includes new applications, structures, and algorithms. Additionally, to assess the precision with which DL algorithms detect disease in medical imaging. AI is heavily used in imaging in medicine. Numerous diagnostic activities, including the early identification and categorization of illnesses via the use of MRIs, CT scans, and other medical imaging, have shown the benefits of machine learning and deep learning algorithms. They make it easier to identify flaws, accurately segment organs, and locate malignancies, which speeds up and improves the accuracy of patient diagnosis. Since several review papers have evaluated the contributions of deep learning imaging methods and medical image analysis, this chapter specifically focuses on the assessment and summary of contributions from the Med AI.
Web-Based Application for Physical to Digital ECG Signal Analysis for Cardiac Dysfunctions
Authors: S. Hariharan , Karnan Hemalatha , D. Uma Maheshwari
Published: March 2024

Electrocardiogram (ECG) acts as a symptomatic tool that routinely analyzes the functions of the heart. Till recently, most ECG records were kept on thermal paper. The evaluation of ECG charts needs considerable training and can be time-consuming and daunting process. The evaluation of ECG charts needs considerable training and can be time-consuming and daunting process. We can perform diagnosis and analysis with automation by digitizing the paper ECG. We can perform diagnosis and analysis with automation by digitizing the paper ECG. The main goal of this chapter is physical to-digital fusion of ECG signal and implement machine learning algorithm. This can be achieved by extracting the P, QRS, and T waves in ECG signals to demonstrate the heart's electrical activity using various techniques. The web-based application can make use of a machine-learning algorithm that analyzes and diagnoses cardiac disorders and normal conditions by uploading the ECG image. Thereby it reduces the time-consuming and daunting process for the analysis of ECG reports.
Digital Twin-Based Smart Healthcare Services for the Next Generation Society
Authors: Hemamalini V. , Armosh Firas , Tyagi Amit Kumar
Published: March 2024

In today's smart era, the healthcare landscape is rapidly evolving, driven by advancements in technology and the growing healthcare needs of an aging and increasingly interconnected society. To address these challenges, the concept of digital twins has emerged as a promising solution to transform healthcare services for the next generation. This work provides an overview of the key aspects and benefits of digital twin-based smart healthcare services and their potential to revolutionize the healthcare industry. DWT involves creating a digital replica or model of a physical entity, in this case, an individual's health and medical data. By harnessing real-time data from various sources, including wearable devices, electronic health records, and medical imaging, Digital Twins provide a holistic view of an individual's health status, treatment history, and predictive analytics for future health outcomes. This work provides information about data-driven approach enables healthcare providers to make more informed decisions and tailor personalized treatment plans/ improving patient outcomes.
Technology Integration in Learning Ecosystems
Authors: Yassin Mohammad Kamal
Published: March 2024

This chapter explores technology's revolutionary power in modern education, investigating its potential to access knowledge, encourage collaboration, and formulate critical thinking abilities. However, the chapter reports the problems of bridging digital gaps, protecting data privacy, and balancing technology and human contact. It investigates several effective technology-enhanced teaching paradigms, such as blended learning, flipped classrooms, and online learning platforms. Practice and best practices emphasize the necessity of selecting appropriate tools, engaging learners, and regularly monitoring and evaluating the impact of technology integration. Finally, the chapter imagines the future of learning, in which emerging technologies such as AI and AR/VR have enormous promise to customize instruction and broaden classroom boundaries. Educators and stakeholders can guarantee that technology is a potent instrument for empowering all learners and charting a road toward a more equitable and engaging future of education by navigating the complexity with understanding and accountability.
Global Insight Into National Climate Mitigation Priorities Within the Framework of Climate Education
Authors: Riaz Sobia , Sohail Muhammad , Rashid Haroon U. , Nawaz Farrakh , Asif Vardah , Majeed Yasir , Sahar Rashba , Khan Aamir , Farooqi Zia Ur Rahman , Ma'arij Abdullah , Ilić Predrag , Jamal Masih Ullah
Published: March 2024

Global concerns surrounding climate change, exacerbated by its detrimental impact on ecosystems and societies, underscore the urgency of climate education. This study emphasizes the differing short-term needs for tackling air and water pollution and mitigating climate change across diverse countries. While developed nations integrate climate education seamlessly, challenges faced by developing and underdeveloped countries include limited resources, technology constraints, and a lack of interest. This chapter advocates for collaborative efforts among stakeholders, policymakers, and educators to ensure universal access to effective climate education, fostering a sense of global citizenship. This collective approach is crucial in addressing shared challenges and empowering individuals to contribute meaningfully to climate change solutions.
Exploratory Research on Violence Against Transgender Prostitutes
Authors: Conde Catarina Capucho , Gonçalves Fabiana Rodrigues , Andrade Beatriz Filipa
Published: March 2024

This chapter delves into the intricate intersectionality of transgender identity and involvement in prostitution, shedding light on the heightened vulnerability of transgender prostitutes to sexual and physical violence. The primary focus of this chapter is an exploration of the challenges encountered during a qualitative and criminological study aimed at collecting first-hand accounts through semi-structured interviews with transgender prostitutes. Despite the importance of this research, building a representative sample proved to be notably difficult, highlighting the complexity of engaging this marginalized population in research endeavors. By addressing these challenges, the chapter aims to contribute to the broader discourse on the victimological phenomenon affecting transgender prostitutes and emphasizes the critical importance of overcoming obstacles in conducting empirical research in this field. The ultimate goal is to facilitate future scientific inquiry by raising awareness about the intricacies of researching violence against transgender prostitutes.
A High-Density Organic Package Solution to W-band SiGe Flip-Chip Applications
Authors: Altuntas Firat , Oznazli Nihan , Kalkan Olcay , Koc Emrah
Published: March 2024

High-density packaging concepts need to be

studied to meet the demands from telecommunication and radar

applications which require large operational bandwidth and

system compactness. In this work, package design of a

transmitter SiGe flip-chip with C4 solder ball interface on a

multilayer PCB operating around 94 GHz is presented.
UV Laser Copper Pad Surface Exposure for Laser Direct Structuring (LDS) of Interconnection
Authors: Catalano Guendalina , Gottardo Alessandro Mellina , Villa Riccardo
Published: March 2024

Microelectronics market demands strong

miniaturization and high-quality packages solutions; therefore,

companies and researchers start thinking about alternative

methods to create more flexible and performing

interconnections which are able to reduce package dimensions.

Laser direct structuring (LDS) technology creates a conductive pattern on MID (Moulded Interconnected Device) with the

combination of laser layout structuring and electroplating bath. LDS can be applied to leadframe based IC packages to realize

interconnections in alternative to standard wires connection.

Feasibility study on copper (Cu) pad covered by moulding compound is conducted varying laser parameters as power, frequency and scanning speed to obtain a 80μm diameter via on

die. Die via is connected through a trace with a 200μm diameter via on lead to realize the interconnection path, filled with copper after plating process. UV 355nm wavelength laser is used to obtain a complete exposition of Cu surface without silicon damage. Visual inspection with optical microscope and SEM

analysis method are performed to evaluate the integrity of metal

pads and interconnection layout.