bluuebunny/crossref_metadata_2025 huggingface dataset:
Gabapentin for Delirium in Infants in the Neonatal Intensive Care Unit
Authors: Chang Eugenie , Parman Avery , Johnson Peter N. , Stephens Katy , Neely Stephen , Dasari Nalini , Kassa Netsanet , Miller Jamie L.
Published: October 2024

OBJECTIVE

A protocol was developed for neonatal intensive care unit (NICU) delirium: Step 1, gabapentin for pain or melatonin for sleep; Step 2, add on other Step 1 agent; Step 3, antipsychotics. The purpose of this study was to describe the utility and dosing of gabapentin for NICU delirium.

METHODS

Retrospective evaluation of NICU patients from January 1, 2021–December 31, 2022 who received >1 dose of gabapentin based on the delirium protocol. Data collection included demographics, gabapentin regimen, and concomitant sedatives and analgesics. The primary objective was to identify the number of patients receiving gabapentin for Step 1 or Step 2. Secondary objectives included identifying the number of patients requiring antipsychotics (Step 3), the gabapentin regimen, comparison of Échelle de Douleur et d'Inconfort du Nouveau-né (EDIN), Cornell Assessment of Pediatric Delirium (CAPD), and Withdrawal Assessment Tool-1 (WAT-1) scores 72 hours pre- and post-gabapentin initiation, and comparison of opioids, clonidine, and melatonin 24 hours pre- and 72 hours post-gabapentin initiation. Wilcoxon signed rank tests were employed with significance defined at p < 0.05.

RESULTS

Twenty-nine patients were studied. The majority (n = 22; 75.9%) received gabapentin for Step 1; no patients required Step 3. The median initial dose was 14.4 mg/kg/day divided every 8 hours. Twelve (41.4%) required increase to a median of 16.9 mg/kg/day. A significant decrease in EDIN and WAT-1 scores was noted, but there was no change in CAPD scores or opioid, clonidine, or melatonin doses pre- versus post-gabapentin.

CONCLUSION

The majority received gabapentin at a median dose of 14 mg/kg/day as Step 1 for delirium. Gabapentin was associated with a significant decrease in pain and withdrawal scores.
Effect of Targeted Single-Dose Antibiotics to Reduce the Occurrence of Pediatric Central Line–Associated Bloodstream Infections Post Alteplase Administration
Authors: Watchorn Patrick , Kavanagh Robert , Mulieri Kevin , DeMartini Theodore , Ceneviva Gary , Trout Lindsay
Published: October 2024

OBJECTIVE

Previous studies have shown an association between alteplase for line clearance and central line–associated bloodstream infections (CLABSIs). The objective of this study was to evaluate the use of post-alteplase antibiotics as a CLABSI reduction strategy in pediatric intensive care unit (PICU) patients.

METHODS

This was a single center, retrospective, observational study evaluating PICU patients from ­January 1, 2014, through August 1, 2021, conducted at a tertiary academic PICU. Included in this study were critically ill patients who had 1 or more central venous lines (CVLs) requiring alteplase for line clearance. The primary objective was incidence of CLABSI occurrence post alteplase administration for CVL clearance, with or without targeted single-dose antibiotics (piperacillin-tazobactam or vancomycin) post alteplase. Secondary outcomes included evaluation of total alteplase administrations and risk factors associated with CLABSI occurrence.

RESULTS

Two hundred fifty patients were included, with 156 receiving alteplase only, 82 piperacillin-­tazobactam, and 12 vancomycin, and with median ages of 2.8, 3.8, and 3.8 years, respectively. Seven ­CLABSIs occurred in the alteplase-only group, with 0 incidences in both the piperacillin-tazobactam (exact OR, 0.12; exact 95% CI, <0.01–0.59; p < 0.01) and vancomycin (exact OR, 1.20; exact 95% CI, 0.03–9.80; p = 1.00) groups. Patients in the piperacillin-tazobactam group achieved statistical significance for CLABSI risk factors that may benefit by decreasing CLABSI incidence (p values <0.01–0.02).

CONCLUSIONS

Alteplase use has been associated with CLABSIs. Providing a single dose of post-alteplase antibiotics targeting the most likely site-specific pathogens may reduce the incidence of CLABSIs.
Successful Desensitization With ELX/TEZ/IVA
Authors: Uygun Dilara Fatma Kocacik , Kaya Mehmet Akif , Bankoglu Betül , Basaran Abdurrahman Erdem , Bingol Ayşen
Published: October 2024

Elexacaftor/tezacaftor/ivacaftor (ELX/TEZ/IVA) was given US Food and Drug Administration approval based on its therapeutic benefits to treat patients with cystic fibrosis (CF) who had at least 1 allele of the CF transmembrane conductance regulator (CFTR) with phenylalanine deleted at position 508 (F508del). The increase in genotyping studies has increased the frequency of use of CFTR modulators; however, severe allergic reactions to CFTR modulators have also been described. It is critical to avoid the offending medication and select alternative treatments while dealing with drug allergies. Drug desensitization may be taken into consideration in situations where there is no other option. This article describes home desensitization treatment for a patient with CF who developed a maculopapular rash following CFTR modulator medication. There are currently no alternative drugs for CFTR modulators, which are crucial for patients with CF, and limited experience is available with allergic reactions to these drugs. It is important to establish desensitization protocols in order to control drug reactions to CFTR modulators, which are vital for individuals with CF.
Amnesia and homework
Authors: Vasilieva Irina , Vasilieva Maria , Vasiliev Ilie
Published: October 2024

Introduction: In humans, the phenomenon of temporally graded retrograde amnesia has been described in the clinic and the laboratory for more than 100 years. The memory f\deficit can occur against a background of intact intellectual and perceptual functions. Material and methods: There were analyzed articles from the PubMed database from the last 5 years 2019-2024, mentioning such words as “amnesia”, “homework”. Results: Amnestic syndrome is narrower than once believed in the sense that a number of learning and memory abilities are preserved. The brain system damage in amnesia has only a temporary role in memory. In the 1950 edition of the Encyclopedia of Educational Research H.J. Otto wrote “compulsory homework does not result in sufficiently improved academic accomplishments to justify retention” [1]. Eighteen years later P.R Wildman went a step further, starting that “whenever homework crowds out social experience, outdoor recreation, and creative activities and whenever it usurps time devoted to sleep, it is not meeting the basic needs of children and adolescents” [2]. Conclusion: Thus, as Otto’s remark exemplifies, homework fell out of favor. Homework, it was believed could accelerate knowledge acquisition. Wildman expressed the concern of the time that too much emphasis on school would lead to the neglect of other areas of personal fulfillment. Not all amnesias, results from brain damage. Amnesia may be produced by severe emotional trauma or naturally occurring changes in state or arousal [3-5]. Improves creative activity total quality management as a predictor of artificial intelligence provides competitive marketing, proven and by the role of social networks in reducing stress [6,7], confirming that amnesia has only a temporary role in memory.
Role of glucose in regulating menstrual cycle
Authors: Vasilieva Irina , Vasilieva Maria , Vasiliev Ilie
Published: October 2024

Goal of the study: To find correlation between estrogen hormone and glucose intake. Introduction: The main estrogens: estradiol, estrone and their acyl-esters have been studied essentially related to their classical estrogenic functions. However their main effect in the body is probably the sustained control of core energy metabolism. With regard to energy, the estrogen molecular species act through control of glucose availability. Material and methods: There were analyzed articles from the PubMed database, from the last 5 years 2019-2024, mentioning such words as “estrogen”, “glucose”, “ menstrual cycle” [1]. Results: Estrogens play a paramount and continued regulatory role, to maintain energy (lipid / glucose) homeostasis. Estrogens have extensive and powerful control of energy homeostasis. Premenopausal women exhibit enhanced insulin sensitivity and reduced incidence of type 2 diabetes, compared with age matched men, but this advantage disappears after menopause with disrupted glucose homeostasis, in part owing to a reduction in circulating 17 β –estradiol (E2). Moreover a study shows the efficacy of a glucagon like peptide-1 and estrogen dual agonist (GLP1-E2) in pancreatic islet protection. The enzymes that are involved in the menstrual cycle are β-glucoronidase, thought to be involved in the final stages of mucopolysaccharide breakdown. Conclusion: So far there is limited information on the major role played by different forms of physiological estrogens in the control of energy metabolism at the whole body level. E2 protects the functionality of the pancreatic β cells, preventing apoptosis, adapting their function to insulin resistance and maintaining their insulin content. The lack of E2 availability also increases hepatic insulin clearance. Estrogen receptor α plays a crucial role in regulating glucose. However, the underlying mechanisms remain incompletely understood and therefore studies on the maintenance of (lipid / glucose) homeostasis are ongoing [2-10] in various neuro-endocrine and visceral multisystem biomedical areas, where the diagnostic role of markers is essential [11,12].
Reifegrad bewerten: Mit DigiTAMM zur erfolgreichen Digitalen Transformation
Authors: Sames Gerrit , Leyh Christian
Published: October 2024

Die Gesellschaft erlebt heute eine rasante Entwicklung des digitalen Wandels. Staatliche Einrichtungen, private Haushalte und Unternehmen verändern sich durch die zunehmende Verbreitung und das schnelle Wachstum digitaler Technologien. Vor allem für Unternehmen ist es wichtiger denn je, sich auf IT-gestützte Fähigkeiten verlassen zu können und auf ein tiefes Verständnis der Informationstechnologie (IT) im Allgemeinen sowie digitaler Tools und digitaler Innovationen im Speziellen bauen zu können. Die technologischen Möglichkeiten, insbesondere die Verschmelzung der physischen mit der digitalen Welt, führen zu grundlegenden Paradigmenwechseln in allen Branchen. Zudem beeinflusst die fortschreitende Digitalisierung der Gesellschaft auch die tägliche Arbeit in Unternehmen erheblich. Um auf den (globalen) Märkten wettbewerbsfähig zu bleiben, müssen sich nahezu alle Unternehmen einer zunehmenden Digitalen Transformation unterziehen [1, 2, 3, 4]. Studien der Technischen Hochschule Mittelhessen [5, 6] zeigen jedoch, dass die Digitalisierung insbesondere bei klein- und mittelständischen Unternehmen (KMU) nur langsam voranschreitet. Dies wird auch durch den aktuellen Digitalisierungsindex des Bundesministeriums für Wirtschaft und Klimaschutz (BMWK) bestätigt [7].
The Impact of Financial Reporting on Investment Decision of Small and Medium Enterprises in Nigeria: A Case Study of Small and Medium Enterprises in Delta State, Nigeria
Authors:   Admiralty University of Nigeria, Department of Accounting, Business Administration and Economics, Faculty of Arts, Management and Social Sciences, (Ph.D) Anuolam M. O. , (Ph.D) M. O. Abani, ,   Bursary Unit, Admiralty University of Nigeria 08035405416, Osiobe O. I. ,   Department of Accounting, Business Administration and Economics, Admiralty University of Nigeria.
Published: October 2024

This study examines the impact of financial reporting on investment of small and Medium Enterprises in Delta State, Nigeria. The study employed descriptive survey research design. A sample of 398 SMEs was employed for the study using simple random technique. Data collected was analyzed using correlation and chi-square technique. The results show that SMEs in Delta State do not use financial reporting in their decision making process. Besides, most of them do not even have adequate knowledge of financial reporting. The study therefore recommends that managers of SMEs should be trained on the use and preparation of financial reports by the various SMEs to enable them be able to use financial reports in their decision making process.
Information Security Risk Management Framework for Social Engineering Attack and Digital Prevention Techniques
Authors: Ahmed Abdullah-Al-Musa
Published: October 2024

Welcome to "Information Security Risk Management Framework for Social EngineeringAttack and Digital Prevention Techniques" this is the author’s PhD dissertation, whichconvert it to book. Since in today's digital age, where information preservation is thecornerstone for security and communication, safeguarding this invaluable asset has neverbeen more critical. This book is designed to serve as a dedicated framework for prevention techniques and to navigate the complex and ever evolving landscape of digital data protection from social engineering attacks. It is imperative to recognize the profound significance of role as an information security risk management framework. Every bit and byte of Digital information holds immense value, whether it pertains to personal identities, corporate secrets, or the intellectual property of nations. However, with this value comes vulnerability. In a world rife with cyber threats ranging from sophisticated malware to social engineering tactics, the protection of digital data is not merely a priority—it is an imperative.
Experience of Reorganization of TB Medical Units as a Tool for Achieving Main Development Goals for TB Services in the Russian Federation
Authors: Frolov E. G. , Smerdin S. V. , Vershinina M. V. , Untanova L. S.
Published: October 2024

The objective: to assess results of TB medical units reorganization aimed to optimize development of TB services.

Subjects and Methods. The article presents results of TB services reorganization in Moscow Region from 2015 to 2023.

Results. Effective coordination and organizational and methodological management allowed improving the quality of dispensary follow-up over patients, enhancing efficiency of inpatient medical care, complying with uniform requirements to diagnosis and treatment of tuberculosis patients which ensured the achievement of target rates.
Possibilities of Immunogenetic Methods in Testing the Activity of Tuberculosis Infection in Children
Authors: Plekhanova M. A. , Klevno N. I. , Gordeeva N. V. , Kalinina O. A. , Ludanny R. I. , Pakhlavonova A. D.
Published: October 2024

The objective: to test the TREC/KREC DNA levels in children with various manifestations of tuberculosis infection.

Subjects and Methods. A prospective, cross-sectional study was conducted in 2022-2024. Observation Group consisted of 115 children aged 6 (5; 7) years, of them 25 were diagnosed with tuberculosis, 63 were diagnosed with latent tuberculosis infection, 27 were not infected with Mycobacterium tuberculosis (conditionally healthy).

Results. Findings of the study were as follows: among children with LTBI and a positive response to TRA, only 18.2% had the high TREC DNA concentration which corresponded to the level in the children ill with tuberculosis (t = 0.971; p = 0.342), there was a direct relationship between the TREC DNA and KREC DNA levels in children with LTBI; in 21.2% of children the level was low and indicative of immunodeficiency. If the positive response to TRA persisted in children for two years or more, there was a decrease in the average TREC DNA level, which was statistically significant compared to that in children with TRA+ for less than 2 years. Taking into account the results obtained, the TREC DNA level in children with LTBI can be considered as an additional criterion to assess activity of tuberculosis infection and can be an evidence to justify preventive anti-tuberculosis therapy if studied further. We also found a direct correlation between the TREC and KREC DNA levels in children with LTBI, r = 0.48 (by Spearman). When the positive response to TRA persisted for more than two years, a statistically significant decrease in the TREC DNA level was noted versus the results in children with the first positive response to TRA (t = 2.965; p = 0.005).

Conclusion. Taking into account the results obtained, the TREC DNA level in patients with various manifestations of tuberculosis infection can be considered as an additional criterion of infection activity, which will allow differentiated approach to preventive treatment being an important evidence to justify anti-tuberculosis therapy.
Experience of Using Delamanid in the Treatment of Multiple Drug Resistant Tuberculosis
Authors: Bagdasaryan T. R. , Plekhanova M. A. , Smirnov V. Yu. , Grigorieva E. A. , Timakova Yu. I. , Goncharov A. S.
Published: October 2024

The objective: to evaluate treatment results in MDR TB patients when delamanid is added to the treatment regimen.

Subjects and Methods. 91 patients with multiple drug resistant pulmonary tuberculosis were included in the study, of which 36 people (39.6%) were HIV positive. Patients were divided into four comparison groups depending on HIV status and inclusion of delamanid in the treatment regimen. Groups receiving delamanid included only patients in whom bedaquiline or linezolid had been discontinued due to adverse reactions.

Results. The results of treatment of MDR TB when delamanid is added to the chemotherapy regimen during the intensive phase, indicate its high effectiveness and safety including HIV positive patients.
An overview of the healing potential of silver nanoparticles in the treatment of diabetic wounds
Authors: Santos Ana Carolina Penna dos , Dutra Fabricio Andre , Barin Ruth , Silva William Leonardo da , Rhoden Cristiano Rodrigo Bohn
Published: October 2024

Silver is a metal known for its antimicrobial and antibacterial properties, and when reduced to the nanoparticle scale, there is an increase in its surface area, which enhances these properties. As a result, silver nanoparticles have been widely studied and used in wound treatment, especially in cases of chronic infections and infected wounds, such as those found in people with diabetes. The purpose of this study was to provide an updated overview of the potential of silver nanoparticles and their applications in diabetic wound treatment. A search was conducted in the PubMed Database, ranging over the last five years, using the descriptors and Boolean markers: silver nanoparticles AND wound healing AND diabetes. The search resulted in 54 articles, of which 14 were selected to compose this review according to the proposed criteria. From the studies included in this review, it was possible to observe that among many nanostructures containing AgNPs, hydrogel and spray were the most used for topical application in vivo. Of the analyzed articles, AgNPs showed promising results for the healing of diabetic wounds, showing anti-inflammatory and antibacterial properties
The Impact of Medical Care Provision on Teacher Welfare and Performance in Public Secondary Schools: A Case Study of Sheema Municipality, Uganda
Authors:   Department of Educational Foundations, Kampala International University, Western Campus, Uganda, Latif Kaganda , Silaji Turyamureeba ,   Department of Educational Foundations, Kampala International University, Western Campus, Uganda, Eze Val Hyginus Udoka ,   Department of Educational Foundations, Kampala International University, Western Campus, Uganda, Aisha Namudu ,   Department of Economics Kampala International University, Western Campus, Uganda
Published: October 2024

This study investigates the relationship between the provision of medical care for teachers and their overall welfare and performance in public secondary schools within Sheema Municipality, Uganda. Teacher welfare, particularly medical benefits, is increasingly recognized as a critical factor in enhancing job satisfaction and effectiveness. Using a mixed-methods approach, the research explores how access to quality healthcare affects key performance indicators, such as attendance, time management, and class participation. The theoretical framework for this study integrates Herzberg’s Motivator-Hygiene Theory, Expectancy-Value Theories, and Maslow’s Hierarchy of Needs to highlight the essential role of healthcare in addressing basic needs and improving job satisfaction. The research concluded that the majority 64.4% of the teachers were in disagreement that schools always provide first aid to teachers whereas a minority 13.7% were in agreement. Findings suggest that access to medical care can significantly reduce teacher absenteeism, boost morale, and enhance engagement in professional duties, thereby positively impacting student outcomes. The results underline the importance of targeted welfare interventions to support teachers’ health, thereby contributing to broader educational goals and community development. Keywords: Medical care, Teacher Welfare, Teacher performance, Secondary Schools, Uganda
Considering state administrative decrees (SAD) by artificial intelligence from the transparency principle in Indonesia (Case study: The ministry of law and human rights of the republic Indonesia)
Authors: Nasution Muhammad Guntur Hamonangan , Khasanah Nia Faridatul
Published: October 2024

Artificial Intelligence (AI) has now touched the realm of government, such as in the creation of State Administrative Decrees (SAD/Keputusan Tata Usaha Negara/KTUN). The involvement of AI in this realm leaves questions regarding the application of its transparency aspects based on the Indonesian legal context. This article aims to understand the phenomenon of using AI for SADs in Indonesia and to find out the application of the principle of transparency generally and contextually in terms of using AI for SADs. This research is normative-empirical research with a conceptual and statutory approach by conducting literature studies and respondent interviews. As a result, SADs as a product of government administrative action in several cases have been using AI and have received normative recognition. On the other hand, there is legislation that regulates the general aspects of SAD transparency, especially related to public information openness and personal data protection. AI transparency itself can be divided into two concepts, namely: technical transparency and justifiable transparency. Justifiable transparency is considered more convenient and suitable to be applied in Indonesia.
Network Traffic Identification Based On Machine Learning and Deep Packet Inspection
Authors: MB Anushlin Leena , R Jegana , P Abitha Rose
Published: October 2024

Accurate network traffic identification is an important basic for network traffic monitoring and data analysis and is the key to improve the quality of user service. In this project, through the analysis of two network traffic identification methods based on machine learning and deep packet inspection, a network traffic identification method based on machine learning and deep packet inspection is proposed. The deep packet inspection based on the feature library RuleLib, conducts in depth analysis of data traffic through pattern matching and identifies specific application traffic. Machine learning method is used to assist in identifying network traffic with encryption and unknown features, which makes up for the disadvantage of deep packet inspection that cannot identify new application and encrypted traffic. Experiments show that this method can improve the identification rate of network traffic.
Smart Road for Autonomous Accident Detection and Warnings
Authors: B Shanmugasundari , S Anto Sharlin Biju , C Swathy , G Sibi Arokya , K Muthupriyadharshini
Published: October 2024

An increasing number of vehicles on the roads increases the risk of accidents. This risk almost doubled due to bad visibility as well as road conditions. If an accident happens, especially in bad weather, it is important to inform approaching vehicles about it. In this research, an accident alert light and sound (AALS) system is proposed for auto accident detection and alerts with all types of vehicles. No changes are required in non equipped vehicles (nEVs) and EVs because the system is installed on the road side. The idea behind this research is to make smart roads (SRs) instead of equipping each vehicle with a separate system. Wireless communication is needed only when an accident is detected. This study is based on different sensors that are used to build SRs to detect accidents. Additionally, the proposed framework for the AALS also reduces the risk of MVCs
Generating Musical Compositions with GRU and LSTM Neural Networks
Authors: V Thanammal Indu , M Kishanthini , M Gokuldhev
Published: October 2024

The field of music generation has witnessed remarkable advancements in recent years, thanks to the emergence of deep learning techniques. In this paper, we present a novel music generation system utilizing a character level Recurrent Neural Network (char RNN) empowered by a hybrid architecture of Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) cells. Our system is trained on a comprehensive dataset consisting of 340 tunes represented in ABC notation, a text based format for musical compositions. By predicting the subsequent character in a sequence of ABC notation, our model adeptly generates new and captivating melodies. Extensive evaluations are conducted, employing a variety of metrics, to assess the system’s performance, revealing its ability to generate coherent and musically plausible music. Furthermore, we demonstrate the versatility of our proposed system, highlighting its potential applications in music composition, accompaniment, and real time improvisation. The results substantiate the effectiveness of employing char RNN with LSTM GRU cells for music generation, thereby opening up intriguing avenues for future research in this evolving field.
Yolo Algorithm Based Multimodal Sentiment Analysis on Image and Text Data
Authors: J Sindhuja A , C Brintha
Published: October 2024

Sentiment analysis’s objective is to examine public sentiment in a way that will support corporate growth. It emphasizes emotions as well as polarity (positive, negative, and neutral). It makes use of a variety of Natural Language Processing techniques, including Automatic, Hybrid, and Rule based. Users are becoming accustomed to uploading text and photographs on social networks to express their feelings or ideas. As a result, multimodal sentiment analysis has drawn more attention as a research area in recent years. Usually, an image has emotional areas that trigger human emotion, which are typically expressed by corresponding words in comments. Similarly, while writing visual descriptions, people frequently depict the emotive areas of an image. As a result, for multimodal sentiment analysis, the association between picture affective areas and the accompanying text is extremely important. This paper exhibits one of the best CNN representatives You Only Look Once (YOLO), which breaks through the CNN family’s tradition and innovates a completely new way of solving object detection with most simple and highly efficient way. Its name derives from the fact that, unlike earlier object detector algorithms like Faster RCNN, it only requires that an image or video travel once through its network. Its outcomes surpassed the performance of Faster RCNN greatly. The performance of YOLO is compared with faster RCNN in terms of accuracy and F1 Measure.
Lifting Inspired Invertible Sparsity Driven Denoising Networks
Authors: M Mohamed Shereen , DK Kalaivani
Published: October 2024

Image denoising aims to restore a clean image from an observed noisy one. Model based image denoising approaches can achieve good generalization ability over different noise levels and are with high interpretability. Learning based approaches are able to achieve better results, but usually with weaker generalization ability and interpretability. In this paper, we pro pose a wavelet inspired invertible network (WINNet) to combine the merits of the wavelet based approaches and learning based approaches. The proposed WINNet consists of K scale of lifting inspired invertible neural networks (LINNs) and sparsity driven denoising networks together with a noise estimation network. The network architecture of LINNs is inspired by the lifting scheme in wavelets. LINNs are used to learn a non linear redundant transform with perfect reconstruction property to facilitate noise removal. The denoising network implements a sparse coding process for denoising. The noise estimation network estimates the noise level from the input image which will be used to adaptively adjust the soft thresholds in LINNs. The forward transform of LINNs produces a redundant multi scale representation for denoising. The denoised image is reconstructed using the inverse transform of LINNs with the denoised detail channels and the original coarse channel. The simulation results show that the proposed WINNet method is highly interpretable and has strong generalization ability to unseen noise levels.
Automatically Monitoring Water Level Using Sensors
Authors: V Naveen , A Muthu selvan , KM Annammal
Published: October 2024

In daily life, water supply is very necessary for every activity and functions as water consumption. In urban areas where water supply is regulated for a specific time, a person must be present at that specific time to turn on their water pumps and store water in their water storage tank, and also the water tank is empty (the water level is below the tank ). If they are not present at that time, they have to go through hardships caused by a lack of water. It intelligently (without the need of any person) turns on the motor when the water is supplied and turns off the motor when the tank is filled. Nowadays, more and more people turn on the motor and forget to turn it off, causing waste of water and electricity due to overflowing of the water tank. The system is designed using an ultrasonic sensor, an automatic switching module, an IOT based ultrasonic sensor, and a pumping machine for automatic water filling switching. When using an ultrasonic sensor, an ultrasonic transmitter is mounted on the top of the tank, which sends an ultrasonic pulse down into the tank. The motor will remain on and fill the tank until another water sensor in the tank signals the ultrasonic sensor that the tank is full. When the tank is full, the ultrasonic sensor with the received signal will automatically turn off the water pump motor. When the tank is empty, the ultrasonic sensor with the received signal automatically turns on the water pump motor. This eliminates the need for a person to be physically present in time to turn on/off the water pump motor. It will be used, people will enjoy the water supply without worrying about spilling water and wasting electricity.
Effectiveness of Machine Learning Algorithms in the Diagnosis of Cardiovascular Disorders
Authors: T Benila Christabel , KK Thanammal
Published: October 2024

In the entire world, cardiovascular diseases (CVDs) are the main cause of death. According to estimates, 17.9 million deaths worldwide in 2019 were attributable to CVDs, or 32% of all fatalities. Heart attack and stroke deaths accounted for 85% of these fatalities. The majority of CVD fatalities occur in low and middle income nations. In 2019, non communicable illnesses caused 17 million premature deaths (before the age of 70), and 38% of those fatalities were attributable to CVDs. By addressing behavioural risk factors like tobacco use, unhealthy eating and obesity, inactivity and problematic alcohol consumption, the majority of cardiovascular illnesses can be avoided. Early detection of cardiovascular disease is crucial in order to start treatment with counseling and medication. This study examines the effectiveness of machine learning algorithms in the diagnosis of cardiovascular diseases.
Locating Faults in A Multi-Storage Cloud Based On Blockchain Base Auditing
Authors: N Dhiviya , T Escaline Freetha
Published: October 2024

Cloud computing has attracted wide attention because it can provide data storage and computation to us. However, when the users outsource the data to the cloud server, the users lose control over the data, so the data auditing is very important to protect users data. To reduce computation and communication costs of the users, the existing schemes utilized a trusted third party (TPA) to conduct verification on behalf of users. However, TPA is a centralized party, which is vulnerable to external attacks and internal faults. In this paper, we present a decentralized public auditing scheme for cloud storage based on blockchain, which improves the reliability and stability of auditing results. In the proposed scheme, the cloud service providers work together to perform data verification without TPA. Finally, the security analysis shows that the scheme can resist a variety of attacks, and the experimental results demonstrate that the proposed scheme has enhanced security and reliability.
Sectioning the Liver Using the Best CT and MRI Techniques
Authors: S Subha , U Kumaran
Published: October 2024

Liver segmentation is detrimental. The toughest segment is the liver. Segment CAD abdominal CT scans in order to look for liver cancers. The tumor’s size, shape, location, and other objects with comparable intensities in the CT scans make automatic tumor segmentation difficult. Therefore, precise tumor segmentation was originally made possible by liver segmentation. Since MRI is essential in medicine, we are concentrating on domain management from MRI to CT volumes, utilizing 3D and 2D liver segmentation. As a result, we must provide automated liver segmentation in CT pictures. Utilizing cuckoo optimization, fuzzy c means, and the random walker’s method, clinical data from patients was segmented. The suggested method was validated using a clinical liver dataset with one of the highest numbers of tumors for liver tumor segmentation. Zones impacted by liver illness are separated using fuzzy clustering. Liver boundary data is segmented using fuzzy C means, fuzzy clustering, and SVM classification. The user may choose a location of interest and do the contour operations again to increase accuracy with spatial liver boundary limitations.
Varför Paris men inte Prag?
Authors: Sköldberg Emma , Wenner Lena
Published: October 2024

The article reports on a study of the treatment of names in the latest edition of The Swedish Academy Glossary (SAOL 14). Initially, we present the principles for inclusion of names in Swedish monolingual dictionaries in general. After that, we discuss the names included in SAOL 14, on the basis of names listed in previous editions, dictionary user emails regarding the names, and the results of a web questionnaire on the topic. Finally, we address the question how the editors could handle this subset of headwords in the next edition of the glossary.
THE JOURNEY TOWARD A LIBERATED WOMAN CHARACTER IN SISWATI LITERATURE
Authors: Mtumane Zilibele , Tengetile Antones Dlamini Rachel
Published: October 2024

This paper presents a feminist comparative analysis of siSwati prose, which was published in different eras such as the last decade of the 20th century, as well as the first and second decades of the 21st century. The purpose is to examine the role played by these stories in portraying women’s struggles and triumphs in their fight for liberation, in a cultural and patriarchal ESwatini.
The effect of circumference on the segregation of objects in a mixture
Authors: Chaplin Ananda , Wilkerson-Chaplin Jimmie
Published: October 2024

The size segregation problem refers to the phenomena of larger particles rising to the top of a mixture of variously sized items seemingly against gravity. Upon reviewing the literature on the size-segregation problem, also known as the trail mix quandary, we realized that the reported findings did not account for the apparent adverse behavior of hollow items. Despite geophysical implications, such as erosion sediments, explanations regarding hollow items are necessary to ensure more precise distribution of nanoparticle substances throughout various systems. Additionally, the size segregation of irregularly shaped particles has not been clearly addressed. To address these limitations, we put forth a hypothesis that circumference, rather than size, dictates the arrangement of falling objects. We found that the distribution of hollow particles could be better predicted with a revision of the size-segregation theory. The key observation that motivated us to propose the revision to the model was that hollow beads sometimes trended toward the bottom of the mixing container over their smaller counterparts, contrary to the size-segregation theory. Our findings may increase precision and predictability of particle movement of non-enclosed hollow objects among unrelated items. A better understanding of particle distribution that may explain certain phenomena (i.e., that larger particles tend to rise to the top of a mixture and not sink under the influence of gravity) could be useful for many fields that deal with particulate matter from geology to chemistry.
La enseñanza de las ciencias naturales desde un enfoque STEAM: Impacto en la creatividad y el pensamiento crítico
Authors: Guailla Muñoz Yessenia Elizabeth , Chicaiza Yépez Erik Danilo , Merino Araujo Danny Mercedes , Monserrate García Wilfrido Luis , Pilligua Sellan Diana Narcisa
Published: October 2024

La naturaleza de la educación actual demanda llevar a cabo cambios metodológicos tendentes a fomentar unas aulas activas que propicien la motivación, participación y la adquisición de los aprendizajes de forma significativa. Ante este problema, el enfoque STEAM se revela como una vía de cambio segura para conseguir despertar, mantener y afianzar el deseo de saber, saber hacer y saber ser. El enfoque se basa en torno a un proyecto, que servirá de conexión entre el mundo individual del alumno y el contenido académico, estando permanentemente presentes métodos activos, tareas colaborativas, uso de las inteligencias múltiples y el trabajo sobre innovación y tecnología de vanguardia. Por tanto, acercamos toda una serie de aspectos esenciales para la formación adecuada del alumnado, con objeto de que adquieran la competencia necesaria para afrontar cualquier problema o situación con éxito, adquiriendo una serie de conocimientos de gran valía: pensamiento crítico, resolución de problemas, razonamiento lógico, proyección, conocimiento de uno mismo, etc. En este enfoque, el protagonismo recae sobre el alumno y se trabajan de forma globalizada múltiples aspectos: académicos, personales, sociales y procedimentales. Se pretende evitar la manipulación propiciada por una educación bancaria de almacenar conocimientos que con el tiempo olvidamos, y conseguir la verdadera autonomía del alumnado. Esto implica recuperar la pasión por el conocimiento, el asombro, la ejecución de actividades constructivas y autónomas, y la verdadera atención a la diversidad.
Flash Card Media Development in Grade 1 Indonesian Language Learning at Madrasah Ibtidaiyah Negeri 2 Jember
Authors: Husnul Hotimah
Published: October 2024

This research aims to address the low interest and reading skills of students in Indonesian language lessons by developing flashcard media based on alphabet material. The method used is Research and Development (R&D) with the ADDIE model, which includes five stages: Analysis, Design, Development, Implementation, and Evaluation. The development results in a product in the form of A4-sized flashcards made from 250 gsm art ivory paper, totaling 29 cards, designed using the Canva application.The results of this study show that the validity test yielded very good results, with a validity level of 90% from media experts, 88% from content experts, 98% from teachers, and 73.5% from students. The total validity score is 87.3%, which falls into the very feasible category and does not require revisions, allowing this media to be implemented in learning activities. The developed media flashcards can enhance motivation and are suitable for improving students' understanding in the subject of Indonesian Language. This flashcard can make learning more engaging, interactive, and easier for students to understand the material, thus it is hoped to significantly improve students' learning outcomes.
Performance of the Classical Model in Feature Selection Across Varying Database Sizes of Healthcare Data
Authors: Thiruvengadam Kannan , Doddamani Dadakhalandar , Krishnan Rajendran
Published: October 2024

Machine learning is increasingly being applied to medical research, particularly in selecting predictive modelling variables. By identifying relevant variables, researchers can improve model accuracy and reliability, leading to better clinical decisions and reduced overfitting. Efficient utilization of resources and the validity of medical research findings depend on selecting the right variables. However, few studies compare the performance of classical and modern methods for selecting characteristics in health datasets, highlighting the need for a critical evaluation to choose the most suitable approach. We analysed the performance of six different variable selection methods, which includes stepwise, forward and backward selection using p-value and AIC, LASSO, and Elastic Net. Health-related surveillance data on behaviors, health status, and medical service usage were used across ten databases, with sizes ranging from 10% to 100%, maintaining consistent outcome proportions. Varying database sizes were utilized to assess their impact on prediction models, as they can significantly influence accuracy, overfitting, generalizability, statistical power, parameter estimation reliability, computational complexity, and variable selection. The stepwise and backward AIC model showed the highest accuracy with an Area under the ROC Curve (AUC) of 0.889. Despite its sparsity, the Lasso and Elastic Net model also performed well. The study also found that binary variables were considered more crucial by the Lasso and Elastic Net model. Importantly, the significance of variables remained consistent across different database sizes. The study shows that no major variations in results between the fitness metric of the model and the number of variables in stepwise and backward p-value models, irrespective of the database's size. LASSO and Elastic Net models surpassed other models throughout various database sizes, and with fewer variables.
Entre lo personal y lo político: el feminismo agua-fiestas de Sara Ahmed en el giro hacia la felicidad
Authors: Tocino Rivas María
Published: October 2024

El trabajo de Sara Ahmed permite pensar la felicidad como un régimen de gobierno emocional distintivo del contexto del giro afectivo. La autora aborda el modo en que los afectos operan como mecanismos disciplinarios de forma intensificada en lo que, precisamente, denomina el «giro hacia la felicidad» contemporáneo. Sin embargo, a partir de la figura ahmediana de la feminista aguafiestas, también cabe problematizar esta relación entre poder y felicidad como una experiencia de transformación de lo personal en político. La politización feminista por la vía de la infelicidad posibilita imaginar otros mundos y otras formas de vivir que se desvíen de la normatividad de los discursos felicitarios que dominan el presente.
Village Expansion in Indramayu Regency: Case Study of Village Expansion in Kalimati Village, Jatibarang District, Indramayu Regency
Authors: Ismanudin  , Ibrohim
Published: October 2024

The study of policy implementation regarding village expansion is an important aspect to know. This research is to determine the process of village expansion in Kalimati Village, Jatibarang District, Indramayu Regency. The process of expanding Kalimati Village, Jatibarang District in this research is the process of expanding one village into two villages. The main village that was expanded was Kalimati Village, Jatibarang District, while the planned village results that were expanded were Prupugan Village, Jatibarang District, which was previously called the Prupugan Block, Kalimati Village, Jatibarang District. The process of expanding Kalimati Village, Jatibarang District, which is viewed from the aspects of planning, organization, movement/implementation and supervision in general, has been implemented in accordance with the provisions of applicable laws and regulations. The village expansion process has been running since the end of 2006, however, due to the results of the village expansion, until now the Indramayu Regency Government has not given clear status, namely whether the village has been expanded or not expanded.
Transformando la Visita al Planetario: Metodologías de Realidad Aumentada
Authors: Durán Carhuamaca Amanda , Almidón Ortiz Carlos Alcides , Asto Huaman Leonidas , Angoma Astucuri Miriam
Published: October 2024

El mundo cada vez es más digital; en medio de esta revolución tecnológica, los museos están enfrentando grandes desafíos para atraer y mantener el interés de una audiencia cada vez más demandantes de experiencias interactivas y tecnológicamente avanzadas. Este libro, “Transformando la Visita al Planetario: Metodologías de Realidad Aumentada” surge como una respuesta a esta necesidad imperiosa de adaptación y evolución de los procesos guiados del museo El Planetario, ubicado en Lima, Perú. En este contexto, se ha considerado la realidad aumentada (RA) como herramienta poderosa para transformar la manera de gestionar las visitas y las interacciones de los visitantes. Al establecer una nueva metodología basada en un aplicativo móvil de RA, no solo se mejoran los procesos administrativos, también se busca la participación activa de los visitantes, enriqueciendo el proceso educativo, además de hacer la experiencia atractiva y más accesible para todo público.
Pentecostalismo no ou do quilombo?
Authors: Monteiro Alef
Published: October 2024

No Brasil existem mais de três mil comunidades quilombolas reconhecidas pelo Estado. Nesses espaços, assim como no restante do país, vem ocorrendo o decréscimo do catolicismo e expansão do pentecostalismo evangélico. Em tal contexto, toma-se como objeto de análise uma comunidade quilombola da Amazônia brasileira cuja população, na maioria, é adepta do pentecostalismo evangélico (51,1 %). O objetivo é fazer uma breve descrição da religião praticada pela maioria dessa população, e, ao mesmo tempo, refletir sobre o agenciamento dos quilombolas no processo de adoção e produção do pentecostalismo. Os métodos utilizados foram a observação participante e realização de entrevistas semiestruturadas. A análise foi feita sob uma perspectiva teórica pós-colonial. Os resultados apontam que o processo de conversão da população não implicou abandono ou apagamento substancial das antigas crenças de origem africana e indígena, havendo, de fato, uma articulação de outras formas de significado alocadas dentro de uma poderosa dinâmica sincrética do pentecostalismo, que, por sua vez, é apossado e “crioulizado” pelos quilombolas. Conclui-se que o pentecostalismo praticado no quilombo é mais um desdobramento do vasto conjunto de experiências agenciadas das religiosidades afro-diaspóricas do contexto brasileiro.
Pengaruh Lingkungan Kerja dan Disiplin Kerja terhadap Kinerja Karyawan pada PT. Telkom Witel Bekasi
Authors: Silvia Jamhari  , Zahra
Published: October 2024

This research aims to analyze the influence of the work environment and work discipline on employee performance at PT. Telkom Witel Bekasi. Human Resources (HR) are a critical element in achieving a company's vision and mission, where employee performance is greatly influenced by environmental factors and work discipline. This study uses a quantitative approach with a population of 46 organic employees, sampled through the saturated sampling method. Data was collected through observation and questionnaires, then analyzed using data quality tests, classical assumption tests, hypothesis tests, and multiple linear regression. The results show that both the work environment and work discipline have a significant effect on employee performance, both partially and simultaneously. The work environment has a positive influence on performance by 35%, while work discipline contributes 44.2%. Simultaneously, these two variables affect employee performance by 45.7%, while the remaining 54.3% is influenced by other factors not examined. In conclusion, improving a conducive work environment and good work discipline can enhance employee performance at PT. Telkom Witel Bekasi.