bluuebunny/crossref_metadata_2025 huggingface dataset:
Cytotoxicity comparison between fluoride varnish and SDF in pulpal stem cells using MTT assay: an in vitro study
Authors: Rathy Manisha Bala ,   Department of Pediatric and Preventive Dentistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India, Ramakrishnan Mahesh ,   Department of Pediatric and Preventive Dentistry, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
Published: July 2024

Background and objectives. SDF and fluoride varnish have garnered attention for their ease of application and potential to address ECC, particularly in young children with limited cooperative abilities for traditional dental procedures. But the cytotoxicity of these materials are not yet studied extensively. Materials and methods. Extracted human primary molars of comparable size and with no visible cavitated carious lesions were collected. The teeth were stored for less than 30 days in 0.1% thymol solution at 23°C prior to the experiment. Each tooth was coated with fluoride varnish and SDF respectively. MTT assay was performed and cytotoxicity is evaluated. Results. The materials used in this study - SDF and fluoride varnish showed significantly lower cell viability compared to the control group. There was significantly higher cell viability in SDF samples compared to fluoride varnish. Conclusions. Within the limitations of the study, it is concluded that the cell viability of SDF is higher when compared with the fluoride varnish.
Mandibular second premolar with C-shaped canal diagnosed with CBCT technology: case report with 24 months of follow-up
Authors: Almnea Raid Abdullah ,   Department of Restorative Dentistry, Division of Endodontics, College of Dentistry, Najran University, Najran, Saudi Arabia
Published: July 2024

Root canal anatomy can greatly vary by tooth and among teeth with the same type. The aim of this case report was to describe the management of a C-shaped canal in 21-year-old male Saudi patient presented with severe pain in the left second premolar mandibular tooth. It was diagnosed with cone beam computed tomography (CBCT). The C-shaped configuration exhibited fins, web-like connections, or an elongated ribbon-shaped appearance, which rendered cleaning, shaping, and obturation difficult. The use of modern endodontic tools, such as CBCT system; dental operating microscope, which facilitates cleaning and shaping; and bioceramic sealers accelerated sealing and healing. After 24 months of follow-up, clinical and radiographic evaluation revealed the absence of signs and symptoms; reduction in the size of the periapical lesion; and starting of complete healing.
Analysis of Graphene Coating Thickness for Single Mode and D-Shaped Fiber Sensor
Authors: Mohd Kamal Nurul Hazirah , Sapingi Husni Hani Jameela , Azzahar Najwa i
Published: July 2024

This project analyzed the impact of coating thickness on Single-Mode Fiber (SMF) and D-Shaped Fiber Sensors. Graphene was applied as the coating material using the drop casting method. The study aimed to investigate the influence of different coating thicknesses on the transmission spectrum of these sensors and examine the relationship between coating thickness and sensitivity. Coating thicknesses ranged from 0 to 21.523 mm, measured using a 3D laser microscope. The analysis revealed that coating thickness significantly affected the optical characteristics. SMF sensors showed small changes in the transmission spectrum with increasing coating thickness. D-shaped fiber sensors, with their unique cross-sectional shape, demonstrated a redshift in the transmission spectrum. Thinner coatings had peak points around -45.055 dBm, while thicker coatings had peak points around -63.646 dBm. These findings provide insights for optimizing the coating process and customizing fiber optic sensors with graphene coatings. Future research can explore alternative methods, materials, and applications for graphene-coated fiber sensors.
The Influence of Liquidity, Leverage, Profitability, Company Size, and Gender of the Finance Director on Financial Statement Fraud
Authors: Supartini Tati , Fadjarenie Agustin , Tarmidi Deden , Oktris Lin
Published: July 2024

Empirical evidence will be collected in this study in order to find out how liquidity, leverage, profitability, company size and gender of the financial director will influence financial statement fraud . This type of study involves causal relationships with a quantitative approach. The population is 163 manufacturing companies registered on the IDX in 2018-2022. Over a span of five years, data from 117 people was collected using purposive sampling techniques . Fixed Effect Model for estimating panel data used to analyze data using e view 10 software. The study results show that factors such as gender of the finance director and liquidity have no influence on Financial Statement Fraud compared to leverage , profitability and company size.
Impact Assessment of the Isang Tasáng Lapis: An Extension Program of the Teacher Education Department of Batanes State College
Authors: B. Buenafe Miah Daphnie
Published: July 2024

The Batanes State College as one of the State Colleges in the country has been fulfilling its duty and mandate in delivering extension services to its community. The college through its Teacher Education Department has implemented an extension program on December 2022 to June 2023 dubbed as “Isang Tasàng Lapis: An Extension Project of the Teacher Education Department to the Academically Challenged Pupils of Basco Central School” which aimed to improve the literacy skills of pupils. This research evaluated the impact of the extension program and the challenges encountered in the implementation. The descriptive -comparative design was employed with 52 parents, 17 BCS teachers, and 8 TED faculty members as respondents to the study. The findings of this research indicated that the extension project is positively perceived by both parents and teachers. Specifically, the project has notably increased the motivation of the learners to attend classes which was validated by the teachers and acknowledged by the parents. This study also provided evidence that the academic performance of learners was improved after attending the project. The data revealed that the project significantly contributed to improving the learners’ academic performance. Thus, this study affirms the effectiveness of the project and suggests its potential value in enhancing the learners’ academic success. The study also identified challenges related to planning, implementation, and monitoring wherein both groups indicated minimal challenges in all phases indicating an excellent planning and execution of the project. However, minor challenges such as clarity on partner agency’s focal person, insufficient resources, and project sustainability were pointed out improvement. Based on the findings of the study, recommendations were made to improve the project. The recommendations include designing activities to foster creativity, curiosity, and empathy among pupils, prioritizing immediate needs in reading comprehension and numeracy, and enhancing planning and coordination between partners schools. It was also recommended to address resource constraints such as materials, equipment, manpower, and time to ensure smooth implementation of the project. Other recommendations include implementing strong monitoring frameworks and planning for project sustainability and improving learning environment to optimize interventions and enhance academic success.
Social Perceptions of Air Pollution by Motorbike Taxi Drivers in Cotonou
Authors: André GAGA Finagnon , OUASSA-KOUARO Monique , ASSOGBA Raymond
Published: July 2024

Several studies have attempted to explain the increase in air pollution in Benin, but there is little work on the social determinants of this phenomenon. The aim of this research is to analyse the influence of social representations of exhaust fumes, developed among motorbike taxi drivers, on the evolution of air pollution in Cotonou. The research methodology is based on a literature review, 50 individual interviews, 10 focus groups with motorbike taxi drivers (Zémidjan) at a number of parking sites (Tokpa car park, Marina station, Kouhounou esplanade, Saint Michel station) and 25 questionnaires administered to institutional stakeholders. The sample values were retained once the empirical saturation point had been reached (Pourtois and Desmet, 1997). At the end of the research, it emerges firstly that air pollution is subject to a diversity of perceptions developed by the players involved. Secondly, understanding of the risks associated with pollution changes when we move from drivers to institutional players. Finally, variables such as the level of education of the motorbike taxi driver and the feeling of being used to exhaust fumes that he expresses, influence air pollution in Cotonou.
Experimental Study on Effectiveness of Square Stepping Exercise for Fall Risk Mitigation Among Senior Citizens
Authors: C.K Surya , Chandran.K Shilpa , D Praveena.
Published: July 2024

Background General fitness establishes the quality of life, but it often decreases with age. Therefore, it becomes vital to find out a method of evaluation of individual fitness level and to design a targeted exercise programme,ie SSE.. Fallsin the elderly are common and associated with major morbidity and mortality. Fall in the elderly is considered as a geriatric syndrome ,decreased physical functioning and autonomy and is associated with other geriatric syndromes.  Objective To find the effectiveness of square stepping exercise and strength and balance to reduce the risk of falls among elderly people.  Method 30elderly subjects are selected from the population who fulfill inclusion and exclusion criteria . These subjects randomly divide in to two groups[15 each Group ]. ABC Scale and Tinneti performance oriented mobility assessment score checked as pre and post test. The SSE group participate sessions 5 days in a week ,each session comprise 15 minutes of warm-up activities such as stretching and free walking ,30 minutes of SSE and 15 minutes of cool-down activities. Each step pattern repeat 4–10 times. The group B performs 30 minute of strengthening and balance exercise instead of SSE.  Result and Discussion SSE is as equally effective as SB training in improving lower-extremity functional fitness. SSE may also be recommended for older adults, due to its low cost and effectiveness. The findings suggest that SSE is safe and acceptable, and it improves the functional fitness of the lower extremities, which is a fall risk factor, in older adults.  Conclusion low-cost and feasible alternative to practice physical activity with good impact on improvement of functional mobility and maintenance of mood states, preventing depressive symptoms In older people and reduce the risk of fall in elderly.
Constraints Associated with the Adoption of Sustainable Cassava Weed Management Technology for Cassava Systems in Nigeria
Authors: J. A. Akinkunmi , O. O. Fasina , M.A. K. Smith,
Published: July 2024

The study investigated the constraints associated with the adoption of sustainable cassava weeds management technology for cassava systems (SCWMTCS) in Nigeria. Multistage was utilized in selecting 384 respondents for the study. Descriptive and inferential statistics were used to analyse the data collected. Results revealed that respondents have varied perceptions of the severity of constraints encountered in their process of adoption of SCWMTCS in the study area. Constraints comprising of frequent gluts in cassava market frustrates farmers, lack of processing equipment and poor value chain system for cassava products and frequent encroachments or destructive grazing of cassava farms by nomadic herders is very frustrating were rated high severity in the study area. Also, 17 constraints were rated to be moderately severe in the study area out of the 26 listed constraints encountered by cassava farmers.
DESAIN PELATIHAN E MARKETING DI PONDOK AL MUIN SYARIF HIDAYATULLAH
Authors: Magfira Dike Bayu , Yudianto Firman , Herlambang Teguh
Published: July 2024

Di era Kemajuan teknologi pemasaran makin menjadikan sitem bisnis menjadi berkembang pesat. Memiliki sarana sebagai penyampaian informasi secara digital banyak sekali alternatif dalam penerapannya salahstunya adalah dengan pembuatan website profil suatu bisnis. Dengan meningkatnya kemajuan teknologi di era pasca pandemi, kemunculan pemikiran terhadap penyembaran informasi melalui media digital juga membantu dalam pergerakan peningkatan dunia digital.Melakukan promosi tidak selalu melalui lisan ke lisan, bisa juga ketika seseorang tidak sengaja memberikan kata kunci dalam memasukkan data di internet maka mereka juga akan menemukan media promosi yang mereka cari. Penggunaan E-Marketing ini yang dimaksudkan menjadikan salah satu kemajuan bisnis di era digital, tumbuh seiring meningkatnya kemajuan industri dalam berbagai bidang menjawab keberadaan promosi di era digital, media ini juga sebagai branding terhadap menjalankan pola industri. Salahsatunya yang menggunakan E-Marketing dalam branding kemajuan pengelolaannya adalah Pondok Pesantren Al Muin Syarif Hidayatullah. Penerapan E-Marketing pada instansi pondok pesantren ini menciptakan sarana informasi dan promosi bagi Pondok Pesantren Al Muin Syarif Hidayatullah. Dengan fungsinya sebagai media pengenalan kepada masyarakat berbasis digital akan sangat membantu dalam meningkatkan financial pesantren pada masa yang sangat ramai dalam pengunaan sarana prasarana untuk mendapatkan informasi dengan media digital. Pengembangan aplikasi ini menggunakan cms wordpress dengan bahasa pemrograman CSS untuk mempermudah dalam pengaplikasian kode nya. Pemrograman akan masuk ke kancah pesantren dengan memberikan wawasan baru terkait bahasa pemrograman. Dengan memberikan pengaplikasian kecil akan membatu pembrandingan pondok itu sendiri juga sebagai pengetahuan baru terkait pemikiran tekhnilogi berbasis pengkodean.
PENERAPAN METODE PSIKOEDUKASI, EXTINTCION, DAN SHAPPING DALAM MENGURANGI PERILAKU MEROKOK
Authors: Ferdiansyah M Vicky , Nisa Ratna Roghibatun , Nisak Choirun , Zunairoh Anik , Ridhoha Ahmad Faruq
Published: July 2024

Kegiatan pengabdian masyarakat kali ini adalah upaya dalam membentuk satu kesadaran diri bagi individu yang memiliki perilaku merokok dengan tujuan untuk memberikan wawasan tentang dampak negatif dari perilaku merokok. Nantinya akan memberikan program perilaku kepada subjek yang telah berkenan untuk mengikuti kegiatan pengabdian masyarakat ini serta menerapkan beberapa metode dalam modifikasi perilaku sebagai alat untuk merubah perilaku merokok dari subjek. Metode perilaku tersebut berupa psikoedukasi, extension, dan shapping. Metode ini buat berdasarkan hasil assesment kemudian disesuaikan dengan program yang akan dilaksanakan. Hasil yang didapatkan, diperoleh kesadaran yang positif dari metode modifikasi perilaku yang diberikan. Kesadaran diri tersebut yang akan membantu individu lepas dari ketergantungannya akan merokok.
PELATIHAN E-COMMERCE PADA PELAKU USAHA MIKRO KECIL MENENGAH DI KEBON KOSONG JAKARTA PUSAT
Authors: Haholongan Rutinaias , Priscillia Devina , Sakinah Mutiara , Fadillah Raihan Hamim , Darmawan Revaldo , Yustianingsih Ririn
Published: July 2024

Masih banyak UMKM yang belum mengenal adanya keberadaan e-commerce, dan masih  banyak UMKM yang melakukan transaksi secara manual. Saat ini kemunculan e-commerce memberikan dampak yang sangat  positif bagi UMKM dan sangat membantu dalam menunjang kegiatan promosi dan penjualan yang efektif dan efisien. Penelitian ini bertujuan untuk mengetahui pengaruh e-commerce terhadap peningkatan penjualan Usaha Mikro Kecil dan Menengah (UMKM). Objek penelitian ini adalah Zona Warkop di Kebon Kosong, Kota Jakarta Pusat. Tujuan dari kegiatan pengabdian ini untuk pengenalan dan peltihan  e-commerce dalam pelaksanaan kegiatan penjualan, serta diharapkan dapat mengembangkan ide-ide kreatifnya demi menyeimbangi gaya hidup masyarakat saat ini. Teknik pengumpulan data yang digunakan meliputi observasi, wawancara, dan dokumentasi. Keunggulan berjualan melalui e-commerce adalah mudah diakses oleh UMKM melalui telepon selulernya dan sangat mudah untuk berbagi foto dan video serta memberikan deskripsi produk yang menarik sehingga konsumen tertarik
Penyakit Gigi Dan Gusi Sebagai Penyebab Penyakit Jantung
Authors: Hartanto Hamdan Ali , Meilan Arsanti  , Muhammad Syarif Wicaksono
Published: July 2024

Penyakit gigi dan gusi merupakan kondisi yang tersebar di seluruh dunia. Contoh dari penyakit tersebut adalah karies dan periodontitis. Kondisi ini membahayakan jika dibiarkan dikarenakan mikroba gigi dan gusi yang terinfeksi dapat bermigrasi ke bagian tubuh lain, salah satunya terhadap organ kardiovaskular. Tujuan penelitian ini adalah mengetahui manifestasi kondisi penyakit gigi dan gusi yang buruk mempengaruhi timbulnya penyakit jantung atau kardiovaskular. Metode penelitian yang dilakukan adalah literature review atau studi pustaka. Materi referensi ditelusuri menggunakan data sekunder melalui buku, artikel, maupun jurnal nasional dan internasional. Data yang dikumpulkan berkaitan dengan gigi berlubang, penyakit periodontal, dan penyakit kardiovaskular. Pencarian data berasal dari Google Scholar, Science Direct, PubMed sesuai kata kunci. Dampak penyakit kardiovaskular yang timbul antara lain bacterial endocarditis, angina pectoris, infark miokard, hipertensi, atherosclerotic cardiovascular disease, gagal jantung, fibrilasi arteri, penyakit arteri perifer, dan penyakit kardiovasular lainnya.
A riplock into the future
Authors: Safaeyan Saghar
Published: July 2024

In David Cronenberg’s
Crimes of the Future
(2022), a series of mutations persistently germinate within the bodies of a group of humans known as neo-organ generators, manifesting in the form of seemingly superfluous organs. While mutation in Cronenberg’s oeuvre is often associated with a viral tendency within the body, leading to grotesque organismic transformations, this article posits that the director’s signature portrayal of organic excess in
Crimes of the Future
bears resemblance to the behavioral patterns of vegetal beings, whose ontology may offer a creative leeway out of the virus-organism dialectic. Although the plant, as a figure, is not the focal point of the film, I argue that the neo-organs’ resilience to destruction and disruption of systematic control and manipulation by the governing bodies of the film share an essence with the plant and its will for disorganization. I refer to this rebellious force as “disorganic entelechy,” and trace it within the burgeoning new flesh in the film to investigate whether the becoming-plant bodies of the film can combat the deadly modes of the exploitative humanistic systems.
Modeling the Progenitor Stars of Observed Type IIP Supernovae
Authors: You 游 Kai-An 凱安 , Chen 陳 Ke-Jung 科榮 , Pan 潘 Yen-Chen 彥丞 , Tsai 蔡 Sung-Han 松翰 , Ou 歐 Po-Sheng 柏昇
Published: July 2024

Type IIP supernovae (SNe IIP) are thought to originate from the explosion of massive stars >10 M
⊙. Their luminosity is primarily powered by the explosion energy and the radioactive decay energy of 56Co, with the photosphere location regulated by hydrogen recombination. However, the physical connections between SNe IIP and their progenitor stars remain unclear. This paper presents a comprehensive study of SNe IIP and their progenitor stars by using the one-dimensional stellar evolution code, MESA. Our model grids consider the effects of stellar metallicity, mass, and rotation in the evolution of massive stars, as well as the explosion energy and 56Ni production in modeling supernovae. To elucidate the observed SNe IIP and their origins, we compare their light curves (LCs) with our models. Furthermore, we investigate the impact of stellar parameters on LCs by considering stellar mass, metallicity, rotation, explosion energy, and 56Ni production. We find that more massive stars exhibit longer plateaus due to increased photon diffusion time caused by massive ejecta. Higher metallicity leads to increased opacity and mass loss of progenitor stars. Rapid rotation affects internal stellar structures, enhancing convective mixing and mass loss, potentially affecting the plateau’s brightness and duration. Higher explosion energy results in brighter but shorter plateaus due to faster-moving ejecta. 56Ni mass affects late-time luminosity and plateau duration, with larger masses leading to slower declines.
Galaxy Ages with Redshift z = 2–4: Stellar Population Synthesis for Candidates in FourStar Galaxy Evolution Survey
Authors: Gao Chong-Yu , López-Corredoira Martín , Wei Jun-Jie
Published: July 2024

Observations of large amounts of massive galaxies with relatively old populations found at high redshifts are challenging galaxy formation scenarios within the standard cosmology. Precise determinations of the average age of these galaxies would be useful for the discussion of this problem. Here we carry out a better constraint of the age of 200 V-shaped spectral energy distribution (SED) nonactive galactic nucleus galaxies at redshifts 2 < z < 4 of the catalog of the FourStar Galaxy Evolution Survey, identified by the V shape in their SED with a Lyman and a Balmer break. The SED fitting includes a main stellar population in addition to a residual younger population and extinction. The galaxies are younger at a higher redshift on average. However, for the galaxies with z > 2.5, we do not see a significant evolution of their average age, with all average ages of the galaxies mostly remaining between 1 and 2 Gyr. Our research finds that most massive galaxies (∼1010
M
⊙) are older (typically > ∼1 Gyr old) and formed earlier than less massive galaxies in our sample.
Radio Signature of the Strong Compression between a Streamer and a Coronal Hole Boundary
Authors: Aguilar-Rodriguez E. , Vourlidas A. , Corona-Romero P. , Monstein C. , Reeve W. D. , Romero-Hernandez E. , Andrade-Mascote E. , Villanueva-Hernandez P. , Peralta-Mendoza I. A. , Perez-Leon J. E. , Perez-Tijerina E.
Published: July 2024

We present evidence of the first detection of the radio signature at metric wavelengths of the strong compression between a helmet streamer (HS) and the boundary of a coronal hole (CH) using radio observations from the Callisto MEXICO-LANCE and ALASKA-HAARP systems and white-light observations obtained by the STEREO-A/COR1-COR2 coronagraphs. The event occurred very close to the Sun (∼3.4 solar radii) and produced an intense and unusually broad drifting radio feature at metric wavelengths after a downward-drifting band of emission related to a metric Type II radio burst. The compression is caused by the interaction between an expanding structure (coronal mass ejection/shock) and the HS against the CH boundary. Observations in white light show a sharp compressive feature that propagates radially outward, while STEREO-A/EUVI images show loop oscillations at the same position angle, indicating that the interaction occurs across a range of heights. The loop oscillations cease when the compressive front loses its sharp boundary. This transition indicates a reduction of the density compression at the front and the cessation of the radio emission.
Differential survival and feeding rates of three commonly traded gastropods across salinities
Authors: Renk Elisabeth , Dickey James W. E. , Cuthbert Ross N. , Kazanavičiūtė Elžbieta , Briski Elizabeta
Published: July 2024

Increasing rates of biological invasions pose major ecological and economic threats globally. The pet trade is one major invasion pathway, and environmental change could mediate the successful establishment and impact of these released or escaped non-native species (NNS). Salinity regime shifts are a pervasive but often overlooked environmental change in aquatic ecosystems. This study investigates the establishment and impact risks posed by three readily available, traded snail species – Melanoides tuberculata, Tarebia granifera and Anentome helena – by assessing their survival and feeding responses across a spectrum of salinity levels (0.2–16 g/kg). Survival differed among the species, with M. tuberculata showing close to 100% survival across the salinity range, T. granifera exhibiting heightened mortality at 16 g/kg, and A. helena displaying no survival at salinities above 12 g/kg. In feeding experiments assessing the more resilient M. tuberculata and T. granifera, the former had greater consumption rates towards both plant- (spinach) and animal-based (daphniid) resources. While salinity and density effects did not affect animal consumption, they both had significant effects on plant consumption, with feeding suppressed for both consumers under a salinity of 8 g/kg relative to freshwater conditions. When combining proportional survival and resource consumption for M. tuberculata and T. granifera, M. tuberculata demonstrated higher impact potential towards both plant and animal resources, highlighting its potential to exert higher ecological impacts. Studies have overlooked the importance of salinity for invasion success and the impact of pet trade species. We therefore propose that these methods provide a screening tool to assess the potential risks of traded species establishing and exerting impacts, and we encourage future studies to account for a broader range of abiotic stressors.
Four new species of the genus Camptoscaphiella Caporiacco, 1934 (Araneae, Oonopidae) from Xizang, China
Authors: Wang Xiaohan , Tong Yanfeng , Li Shuqiang
Published: July 2024

Four new species of the genus Camptoscaphiella Caporiacco, 1934 are described from Xizang, China, i.e., C. metok Tong & Li, sp. nov. (♂), C. shannan Tong & Li, sp. nov. (♂♀), C. trifoliata Tong & Li, sp. nov. (♂♀) and C. zayu Tong & Li, sp. nov. (♂♀). Morphological descriptions, photographic illustrations and a distribution map of the four new species are given.
Design and implementation of a novel didactic strategy using learning styles for teaching control theory
Authors: Rojas Palacio Cinthia Viviana , Arango Zuluaga Eliana Isabel , Botero Castro Héctor Antonio
Published: July 2024

This paper explains the design and implementation of a novel didactic strategy based on learning styles for teaching automatic control theory in engineering. Traditional research on engineering education has worked to develop teaching methodologies, educational resources, and assessment tasks without considering the learning styles of the students. However, it is important to consider the learning styles of students to increase the number of useful tools that aid students in understanding abstract ideas and difficult concepts. To demonstrate that it is possible to design excellent courses of automatic control by using class activities concerning the learning styles of students. The proposal includes knowing the learning styles of students that enable professors to design appropriate didactic strategies based on the student needs. The proposed didactic strategy is appropriate and enhances the understanding of difficult concepts related to automatic control.
Hybrid Deep Learning-Based Air Pollution Prediction and Index Classification Using an Optimization Algorithm
Authors: Kutala Sreenivasulu , Awari Harshavardhan , Velu Sangeetha , Anthonisamy Arun , Bathula Naga Jyothi , Inthiyaz Syed
Published: July 2024

Lockdowns were implemented in nearly all countries in the world in order to reduce the spread of COVID-19. The majority of the production activities like industries, transportation, and construction were restricted completely. This unprecedented stagnation of resident's consumption and industrial production has efficiently reduced air pollution emissions, providing typical and natural test sites to estimate the effects of human activity controlling on air pollution control and reduction. Air pollutants impose higher risks on the health of human beings and also damage the ecosystem. Previous research has used machine learning (ML) and statistical modeling to categorize and predict air pollution. This study developed a binary spring search optimization with hybrid deep learning (BSSO-HDL) for air pollution prediction and an air quality index (AQI) classification process during the pandemic. At the initial stage, the BSSO-HDL model pre-processes the actual air quality data and makes it compatible for further processing. In the presented BSSO-HDL model, an HDL-based air quality prediction and AQI classification model was applied in which the HDL was derived by the use of a convolutional neural network with an extreme learning machine (CNN-ELM) algorithm. To optimally modify the hyperparameter values of the BSSO-HDL model, the BSSO algorithm-based hyperparameter tuning procedure gets executed. The experimental outcome demonstrates the promising prediction classification performance of the BSSO-HDL model. This model, developed on the Python platform, was evaluated using the coefficient of determination R2, the mean absolute error (MAE), and the root mean squared error (RMSE) error measures. With an R2 of 0.922, RMSE of 15.422, and MAE of 10.029, the suggested BSSO-HDL technique outperforms established models such as XGBoost, support vector machines (SVM), random forest (RF), and the ensemble model (EM). This demonstrates its ability in providing precise and reliable AQI predictions.
Synchronization of a class of nonlinear multiple neural networks with delays via a dynamic event-triggered impulsive control strategy
Authors: Yi Chengbo , Cai Jiayi , Guo Rui
Published: July 2024

In this paper, the impulsive synchronization of a class of nonlinear multiple neural networks (MNNs) with multi-delays was considered under a dynamic event-based mechanism. To achieve a more comprehensive synchronization outcome and mitigate the conservativeness of impulsive control due to predetermined time sequences, we integrated a dynamic event-triggered strategy. This approach formed a novel control framework for generalized MNNs, where impulsive inputs were applied only under specific conditions governed by event-triggering rules. Towards the above objectives, the impulsive jumping system, resulting from dynamic component, and matrix measure method were invoked to directly increase the computational simplicity and extensibility of the study. As the outcome, the synchronization criteria for the MNNs could be achieved, and the exponential convergence rate is resolved by considering both the generalized comparison principle regarding impulsive systems and the variable parameter formula. Moreover, Zeno-freeness of the achieved triggering regulation is ensured. Finally, two numerical examples confirmed the validity of the designed approach.
A primeira fenomenologia de Husserl como filosofia primeira (metafísica)
Authors: Guilhermino Daniel
Published: July 2024

A primeira fenomenologia de Husserl, cuja expressão maior é a obra Investigações Lógicas, de 1900/1901, pretende ser uma teoria do conhecimento que opera segundo o princípio da “neutralidade metafísica”. Essa neutralidade metafísica é usualmente interpretada como a delimitação do horizonte temático da fenomenologia ao domínio das vivências, excluindo-se, com isso, a coisa transcendente do seu domínio de investigação. A primeira fenomenologia seria, portanto, uma espécie de “psicologia intencional”. Contra essa interpretação, pretendemos mostrar, com base nos textos do Husserl desse mesmo período, que a teoria do conhecimento fenomenológica das Investigações Lógicas é filosofia primeira, isto é, metafísica. A “neutralidade metafísica” não é, ali, uma proibição do discurso sobre a transcendência, mas um princípio metodológico para que tal discurso possa ser legitimado. Com isso, pretendemos mostrar que a fenomenologia pré-transcendental não é mera “psicologia intencional”, mas filosofia primeira (metafísica) no sentido em que Husserl a compreende: ciência última da realidade.
Quantum Key Distribution Protocols
Authors: Sihare Shyam R.
Published: July 2024

The author will discuss different quantum protocols in this chapter for guided media and open space communication. The author examines already developed quantum protocols for photons and electrons. Earlier developed quantum protocols are the basis of recently developed quantum protocols. The author makes a study on quantum protocols with the help of quantum mechanics features such as entanglement, superposition, uncertainty principle, and no cloning.
Embarking on Quantum Horizons
Authors: Sihare Shyam R.
Published: July 2024

The multifaceted landscape of quantum technologies, including their advances, challenges, and ethical implications, is explored in the chapter. It covers the diverse applications of quantum computing, collaborating across scientific domains, impacting society and the critical role of quantum literacy. The chapter explores different aspects of quantum technology, including interdisciplinary research, quantum communication networks, the relationship between quantum computing and artificial intelligence, and ethical considerations. It also highlights the societal responsibilities of the quantum community. Topics covered include ethical supply chains, media representation, disaster response, and international relations. The chapter advocates ethical governance, responsible innovation, and inclusive access to ensure harmonious integration into the fabric of our society as quantum technologies continue to develop.
Challenges in Online Education During the COVID-19 Pandemic
Authors: Mandal Tirthankar
Published: July 2024

COVID-19 has had a serious impact on all aspects of society, all citizens, and all institutes around the country. In India, educational institutions have compulsorily changed their traditional teaching methods to an online platform. The transition to online mode has been an abrupt one due to the unprecedented lockdown imposed to manage COVID-19, and all the educational institutes did not have time to design and adopt the course contents for an online delivery system. Several obstacles like infrastructure, internet service, e-resources, communication gap, rural-urban gap, financial constraints, social and family burden, etc. have made the education and learning system far behind the previous system. The present study has tried to find out the difficulties students face to continue smooth learning such that a skilled and technologically efficient generation will arise soon.
Strategic Utilization of Analytics by Driving Business Value and Competitive Edge
Authors: Whig Pawan , Yathiraju Nikhitha , Jain Anupriya , Bhatia Ashima Bhatnagar , Kasula Balaram Yadav
Published: July 2024

In today's data-driven business landscape, the strategic utilization of analytics has become paramount for organizations seeking to gain a competitive advantage and drive business value. This chapter explores the transformative potential of leveraging analytics strategies to extract insights, make informed decisions, and propel organizational growth. The authors delve into various facets of analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, elucidating their roles in uncovering trends, understanding customer behavior, and optimizing operations. Additionally, they examine the importance of data quality, governance, and ethics in ensuring the reliability and integrity of analytics initiatives. Through real-world case studies and examples, they illustrate how organizations across industries harness analytics to enhance decision-making, innovate products and services, and differentiate themselves in the marketplace. Moreover, they explore emerging trends and technologies shaping the future of analytics.
Logistic Regression for Assessing Childhood ADHD
Authors: Silva Joao Carlos , Brito Rita , Sousa Ines
Published: July 2024

This work aims to offer a quick and easy way to diagnose a child for ADHD (attention-deficit/hyperactivity disorder) by measuring/classifying some of the child's features and habits. The importance of an early diagnosis is crucial, and the best time to assess and deal with this problem is in pre-school, avoiding future traumatic situations such as school dropout in the future. In this work several preschool children participated in a survey comprised of 13 variables that was compiled with the help of a paediatrician and afterwards were tested for ADHD. With these results, the authors were able to measure the importance of each variable in determining the likelihood of the child having ADHD using a logistic regression. As a result, they ended up with a smaller set of variables (9 instead of 13), that can be used as an easy method (simple equation) for an early diagnosis of ADHD, just by measuring some of the child's main characteristics.
Healthcare Innovation
Authors: Mirthika G. L Swathi , Sivakumar B.
Published: July 2024

The practical use of technology in healthcare is a nascent discipline focused on promoting sustainability within the healthcare sector. Nevertheless, the research in this field has experienced significant and swift growth. Although this expansion has been beneficial for the discipline, it has also rendered it more challenging to comprehend its full scope. Thus, it has become impossible to answer questions about the biggest technological shifts in sustainable healthcare research, the most important revolution articles, their influence, and the most prolific and prominent scholars. Understanding the logical framework of technology for sustainable long-term healthcare information is difficult. An in-depth assessment of studies on revolutionary healthcare technology that promotes long-term health addressed these issues. It did so to address some of the issues. Over the past four years, the COVID-19 pandemic, artificial intelligence, machine learning, and the internet of things have propelled sustainable healthcare technology research.
Design of a Smart Walking Stick for the Visually Impaired Using Internet of Things
Authors: Devi M. Nirmala , Murugan Thangavel , Karthigeyan R. , Subbulakshmi B.
Published: July 2024

In the ever-evolving landscape of assistive technologies, the visually impaired community encounters unique challenges in pursuing heightened mobility and environmental awareness. The endeavor to navigate through perpetually shifting and often unpredictable surroundings necessitates innovative solutions that empower individuals with visual impairments, granting them the ability to traverse with newfound confidence and independence. This research aims to explore the groundbreaking realm of the smart walking stick, an ingeniously designed assistive device that seamlessly integrates cutting-edge technologies, notably Arduino and ultrasonic sensors. At its essence, the main objective of this design is to respond to the urgent and compelling need for advanced navigation tools that can offer real-time obstacle detection and deliver tactile feedback, thereby enhancing the overall mobility experience for individuals with visual impairments.
Healthcare Integrating Automation and Robotics-Based Industry 5.0 Advancement
Authors: Sindhu P. , Sivakumar M.
Published: July 2024

Healthcare is undergoing a significant transformation with the advantage of Industry 5.0, which is marked by the fusion of human expertise and advanced technology. This period is characterized by the integration of automation and robotics into healthcare practices, which can enhance patient care, optimize operational efficiency, and redefine medical norms. This chapter provides an overview of the use of automation and robotics in healthcare within the context of Industry 5.0. It analyzes the ways in which telemedicine, patient monitoring, and customized therapy are facilitated by robotics and automation
The Impact and Integration of Cloud Computing for Enhanced Patient Care and Operational Efficiency
Authors: Prabu M. , Diviya M. , Bhuvaneswari R. , Reddy Doddi Sreenija , Venkatesan K. , Natarajan Arul Kumar
Published: July 2024

Cloud computing is reshaping healthcare by offering a flexible solution for stakeholders to access data remotely. It revolutionizes data creation, storage, and sharing, enabling professionals to access patient information from anywhere, enhancing care and streamlining operations. Adoption is increasing due to its efficiency and innovation benefits. Services like SaaS, PaaS, and IaaS offer flexibility, driving adoption. Challenges include data breaches, necessitating robust security measures. Despite challenges, cloud computing has transformed healthcare, improving decision-making, data security, record sharing, and automation. During COVID-19, it has been crucial, highlighting its importance in advancing healthcare. Providers must embrace cloud technology for its potential to enhance medical data analysis and improve healthcare services.
Innovative Measures to Promote Social Responsibility in Tourism
Authors: Simão Érica , Mendonça-Pedro Rui Manuel
Published: July 2024

The chapter intends to reflect on the theoretical role of tourism in reducing inequalities in society (SDG 1 and 16), the supply chain innovations and innovative products in tourism (SDG 8), employment opportunities for marginalised social sectors in tourism (SDG 1 and 8) and the challenges faced by women in tourism (SDG 5). This research aims to analyse the theoretical impacts that the legalisation of prostitution would have on a tourism destination, on the individuals involved, and on contributing to the diversity of tourism products (supply chain innovations). The result of this NLR of the responsibility in tourism in the face of prostitution resulted in the analysis of the impact felt by residents with prostitution. The understanding of the distinction between formal employment and informal employment, thus framing the best position for prostitution. The ethical concerns associated with prostitution are exploitation, trafficking, and prejudgment. The regulation of the demand for sexual services marketed in different political contexts.
AI Applications and Digital Twin Technology Have the Ability to Completely Transform the Future
Authors: Ali Syed Ibad , Kale Geetanjali P. , Shaikh Mohammad Shahnawaz , Ponnusamy Sivaram , Chouhan Prithviraj Singh
Published: July 2024

Digital twin (DT) has a growth revolution by increasing artificial intelligence (AI) techniques and relative technologies as the internet of things (IoT). They may be considered as the panacea for DT technology for various applications in the real world such as manufacturing, healthcare, and smart cities. The integration of DT and AI is a new avenue for open research in the upcoming days. However, for exploring the issues of developing digital twins, there are interesting in identifying challenges with standardization ensures future developments in this innovative theme. This chapter first presents the digital twins concept, challenges, and applications. Afterward, it discusses the incorporation of AI and DT for developing various IoT-based applications while exploring the challenges and opportunities in this innovative arena. Then, developing tools are presented for exploring the digital twins' system implementation. Further, a review of recent DT-based AI approaches is presented. Finally, a discussion of open research directions in this innovative theme is presented.
Echoes of Tomorrow
Authors: Rathod Seema Babusing , Ponnusamy Sivaram , Mahajan Rupali A. , Khan Rais Abdul Hamid
Published: July 2024

“Echoes of Tomorrow: Navigating Business Realities With AI and Digital Twins” charts a visionary course where artificial intelligence and digital twins converge to reshape the business landscape. With AI's cognitive insights and digital twins' dynamic reflections, this paradigm promises enhanced decision-making, streamlined operations, and a transparent future. Businesses, propelled by this synergy, anticipate change, innovate strategically, and thrive in a landscape where adaptability and ethical practices define success. It is a transformative echo, guiding enterprises toward a future where technology harmonizes with strategic foresight.
Smart Monitoring and Predictive Maintenance of High Voltage Cables Through Digital Twin Technology
Authors: Thenthiruppathi T. , Kasiviswanathan Harish Ravali , Swaminathan K.
Published: July 2024

Urban power transmission and distribution are closely linked to high voltage cables. The advancement of the ubiquitous power internet of things (UPIOT) introduces the concept of holographic state perception techniques for power cables. To enhance the efficiency and scientific utilization of data information, this chapter incorporates the digital twin (DT) technique into the power cable domain, investigating its advanced applications. The initial sections cover the significance, technical system, and key elements of the DT model. Subsequently, the chapter delves into the application scenarios of DT-driven technical frameworks in high voltage cable design, production, and operational maintenance.
Social Superheroes
Authors: Martin Justin
Published: July 2024

In the chapter, the author considers the implications of a constructivist approach to understanding superhero media for scholarly analyses concerning the relation between social interactions, judgments, and superhero missions. The approach, social cognitive domain theory (SCDT), grounds the development, refinement, and application of moral and nonmoral social concepts in heterogeneous social interactions and arrangements. Particularly, special attention is given to comic, television, and film portrayals of T'Challa (Black Panther), Carl Lucas (Luke Cage), and the time-traveling X-Man Lucas Bishop. Previous work explores the parallels of their narratives for understanding the ubiquity of heterogeneous social and moral judgments, as their narratives can be partly distinguished through their grounding in national, local, and societal contexts, respectively. In keeping with this work, the present chapter explores the potential of three features of social judgments for understanding superheroes along three social interactional dimensions.
(Re)Imagining Worlds and Reality in Media
Authors: DeHart Jason D.
Published: July 2024

This chapter makes use of textual examples and description, as well as autoethnographic case study, to examine media storytelling and envisioning reality through storytelling. Attention is given to concepts of social justice, as well as implications for practice and further research. These implications include considerations of both text and readership, as well as explorations of criticality and notions of representation. A continued call for this kind of close reading of multiple texts and types of texts is central to the chapter.
Digital Twins in the Modern Context Bridging Realities With Blockchain
Authors: Dashore Rachana , Sharma Nidhi
Published: July 2024

The distinction between the real and virtual worlds is becoming more hazy as a result of the ongoing digital revolution. The idea of “digital twins,” which are computerised replicas of real-world systems, assets, or processes that are updated in real-time using data gathered from those counterparts, is one of the most intriguing developments in this field. By helping us to better understand complex systems, forecast maintenance requirements, and optimise operations, this technology has the potential to completely transform a wide range of sectors.This essay examines the idea of “digital twins” in the contemporary setting, emphasising both its advantages and disadvantages. We explore the several layers of digital twins, from intricate models of single components to intricate representations of entire processes. We examine the practical applications and outcomes of these digital counterparts in a variety of industries, including manufacturing, healthcare, and urban planning. However, strong data management and security are necessary for digital twins to reach their full potential. This is the point at which blockchain technology becomes revolutionary. With its fundamental values of immutability, decentralisation, and transparency, blockchain provides a safe and impenetrable framework for handling the enormous volumes of data produced by digital twins.This article looks at how digital twins and blockchain can work together to build a strong and safe environment.