bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Realistic Greedy Parameter Aggregation Approach for Federated Learning Packet Transmissions
Authors: Mahembe Bright K , Nyirenda Clement N , Isafiade Omowunmi 
Published: August 2024

Abstract

Federated Learning (FL) enables decentralized machine learning while preserving data privacy. Despite extensive research on FL frameworks and simulations, packet skewness due to poor network conditions remains understudied. This paper proposes a greedy approach for parameter selection in FL scenarios that prioritizes global model improvements and mitigates performance declines. The proposed greedy parameter aggregation approach is evaluated using a modified User Datagram Protocol (UDP) in the NS-3 network simulator under diverse network conditions, employing the widely used CIFAR-10 dataset.The global model with greedy aggregation outperformed in severely degraded networks, achieving 67% accuracy on CIFAR-10, compared to 27 % without the approach. The greedy model’s accuracy decreased 14 % from ideal conditions, while the non-greedy model declined 54 %. This comparison underscores the greedy approach’s resilience and effectiveness in maintaining the global model performance despite challenging network environments.
Understanding the intricacies of rainfall dynamics using entropy measures
Authors: Singh Shekhar , Kumar Anil 
Published: August 2024

ABSTRACT

The present study quantifies the variability of rainfall dynamics across multiple time-periods and various entropy measures. Daily gridded rainfall from 1951 to 2020 was used to study Haryana, India, based on entropy and advanced statistical methods. The post-monsoon season had high variability for Sirsa and Palwal districts due to the variation occurring in October and December. This means these months are responsible for causing variations in the winter season. Similarly, during the monsoon season, low variability was found in Panchkula, Ambala, Yamunanagar, and some parts of Kurukshetra due to low variability in July. It was also observed that intra-variability in both rainfall amounts and rainy days increased with an increase in the time scale for all districts in Haryana. However, inconsistency on rainy days was more pronounced than rainfall amounts, which further means that the distribution of rainfall intensity was highly inconsistent in the study region. This study provides valuable insights into regional rainfall characteristics, and it assists local farmers in adapting to resilient crop varieties and efficient water-management practices, especially during crop harvesting and planting. Also, those in urban planning, disaster vigilance, and many others may consider this study to make districts resilient and adaptable.
corpo na era da inteligência artificial já era?
Authors: Parreiras Mônica 
Published: August 2024

A inteligência artificial (IA)[1] tem se tornado cada vez mais importante na indústria moderna, trazendo consigo benefícios e inovações capazes de transformar a maneira como o trabalho é executado. Sendo assim, este artigo tem o objetivo de elucidar alguns tipos de IA e sua aplicabilidade no cotidiano da vida moderna. Ademais, intenciona-se abordar os apelos da personalização de conteúdos que capturam e algoritmizam o indivíduo, de modo a ensejar os desafios éticos implicados em seu avanço. E, por fim, ambiciona-se tencionar a relação entre os benefícios do avanço tecnológico frente a questão concernente à autonomia e liberdade do corpo próprio na acepção merleau-pontyana, trazendo o corpo para condição de sujeito e, com isso, rompendo com a tradição cartesiana dualista, de modo a seguir na proposta de atribuir ao corpo-sujeito, a capacidade de fazer ato e, dessa forma, se constituir enquanto um corpo político, sendo a base para ações inteligentes e cautelosas até mesmo na função de operar as máquinas que sem ele não podem sequer ser acionadas.

[1] Sigla utilizada para referir-se à inteligência artificial e que será mencionada ao longo do artigo com fins de abreviação dos termos.
A New Frontier in Phytotherapy: Harnessing the Therapeutic Power of Medicinal Herb-derived miRNAs
Authors: Feng Ya-long 
Published: August 2024

:
Medicinal herbs have been utilized in the treatment of various pathologic conditions, including neoplasms,
organ fibrosis, and diabetes mellitus. However, the precise pharmacological actions of plant miRNAs
in animals remain to be fully elucidated, particularly in terms of their therapeutic efficacy and mechanism of
action. In this review, some important miRNAs from foods and medicinal herbs are presented. Plant miRNAs
exhibit a range of pharmacological properties, such as anti-cancer, anti-fibrosis, anti-viral, anti-inflammatory
effects, and neuromodulation, among others. These results have not only demonstrated a cross-species regulatory
effect, but also suggested that the miRNAs from medicinal herbs are their bioactive components. This
shows a promising prospect for plant miRNAs to be used as drugs. Here, the pharmacological properties of
plant miRNAs and their underlying mechanisms have been highlighted, which can provide new insights for
clarifying the therapeutic mechanisms of medicinal herbs and suggest a new way for developing therapeutic
drugs.
Interleukin 18 (-137G/C, -607C/A) Polymorphisms as Genetic Biomarkers of Susceptibility to Systematic Lupus Erythematosus
Authors: Rezaieyazdi Zahra , Delavar Payman , Rafatpanah Houshang , Ganjali Rashin , Sahebari Maryam , Tabaei Samira , Esmaeili Habibollah , Khodashahi Mandana 
Published: August 2024

Background:
Systemic lupus erythematosus (SLE) is an autoimmune disease of unknown
etiology. Several studies have suggested that interleukin-18 (IL-18) is associated with SLE
pathogenesis. The genotype distribution of IL-18 promoter polymorphisms differs among ethnic
populations. The present study aimed to investigate the correlation between IL-18 polymorphisms
at positions -137 and -607 in patients situated in Northeastern Iran.

Methods:
This case-control study examined the prevalence of IL-18 -137C/G and -607C/A polymorphic
variants among 95 SLE patients referred to the Department of Rheumatology, who were
referred to the general clinics of Ghaem Hospital and Imam Reza Hospital in Mashhad, Iran, were
included in the study. In addition, 100 healthy individuals were included in the control group.
DNA from whole blood was extracted by the salting-out method using a commercial kit (Biogene,
US). Allelic and genotypic frequencies of polymorphisms (-137G/C, -607C/A) in the IL-18 promoter
gene were analyzed using a polymerase chain reaction (PCR)-based amplification refractory
mutation system (ARMS) method.

Results:
The results of this study demonstrated that the frequency of SLE patients with the homozygous
C/C genotype of the IL-18 promoter gene at position -137 was significantly higher than
that of the homozygous G/G genotype (P < 0.001) in normal controls. Furthermore, the polymorphism
analysis performed illustrated a significant association between (-137G/C) and (-607C/A)
polymorphisms in the IL-18 promoter gene and SLE (P < 0.005).

Conclusion:
These results indicated that the 607A/A and 137C/C polymorphisms are more prevalent
in SLE. Further research involving larger sample sizes from various populations is necessary
to elucidate the role of these polymorphisms and the distribution of alleles in SLE patients.
Comparison of the Performance of [18F]-FDG PET/CT and [18F]-FDG PET/MRI for Lymph Node Metastasis in Breast Cancer: A Systematic Review and Meta- Analysis
Authors: Han Suchi , Huang Yanjing 
Published: August 2024

Objective:
The primary objective of this study was to conduct a comparative analysis of the diagnostic efficacy of [18F]-FDG PET/CT and [18F]-FDG
PET/MRI in the detection of breast cancer lymph node metastasis.

Methods:
We conducted a comprehensive search on PubMed, Embase, and Web of Science databases, encompassing eligible articles until March 2023. The
pooled sensitivity and specificity for [18F]-FDG PET/CT and [18F]-FDG PET/MRI have been reported as estimates with 95% Confidence Intervals
(CIs) using a bivariate random-effect model. Utilizing the I square (I2) statistic, heterogeneity among pooled studies was evaluated. The quality
assessment of the included studies was conducted using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) methodology.

Results:
We included 18 studies (2057 patients). The sensitivity, specificity, and AUC (Area Under the Curve) values of [18F]-FDG PET/CT for overall lymph node metastasis in breast cancer have been found to be 0.58 (0.39 - 0.75), 0.83 (0.69-0.92), and 0.79 (0.75-0.82), respectively. Correspondingly, the values for [18F]-FDG PET/MRI were found to be 0.76 (0.60-0.88), 0.85 (0.77-0.91), and 0.89 (0.86-0.91), respectively. The sensitivity, specificity, and AUC values of [18F]-FDG PET/CT for axillary lymph node metastasis in breast cancer were 0.52 (0.37-0.67), 0.84 (0.68-0.92), and 0.73 (0.69-0.76), respectively. Correspondingly, the values for [18F]-FDG PET/MRI were 0.84 (0.76-0.89), 0.87 (0.75-0.94), and 0.86 (0.83-0.89), respectively.

Conclusion:
This study has suggested [18F]-FDG PET/MRI to have greater diagnostic power than [18F]-FDG PET/CT in detecting lymph node metastasis in
breast cancer. However, the [18F]-FDG PET/MRI results have been obtained from a small sample size study, and more and larger prospective
studies are needed for further confirmation on this issue.
Plant-derived Terpenoids as Novel Anti-tubercular Agents
Authors: Masand Mukesh , Sharma Pramod Kumar , Balaramnavar Vishal M. 
Published: August 2024

Abstract:
Mycobacterium tuberculosis is the primary cause of tuberculosis (TB), which accounts
for over two million deaths annually and is the leading infectious illness. Because of their significant
therapeutic capabilities, a number of natural compounds, such as terpenoids generated from
natural sources, have attracted interest in recent decades. Terpenoids have several different structures,
displaying a variety of actions and modes of action. Some natural terpenoids and their derivatives
have been selected as prototype molecules for the development of new anti-tubercular
medications due to their strong anti-tubercular activity against Mycobacterium tuberculosis. This
study assessed the roles and mechanisms of terpenoids. In this review article, we offer recent
findings about the anti-tubercular activity of terpenoids.
Recent Trends in Chemistry and Biological Activity of Antipsychotics
Authors: Yousif Mahmoud N. M. , Abu-Hashem Ameen A. 
Published: August 2024

Abstract:
Several novel antipsychotics have been outlined in this review. Different synthetic
methods for the synthesis of promising antipsychotics have been summarized. There are different
starting materials from which we can start to prepare the proposed antipsychotics. Also, the final
nucleus of the proposed antipsychotics is different e.g. 8-azabicyclo[3.2.1]oct-3β-yl-amide 8a-w,
3-aminoethyl tetralones 19, 3-fluourobenzoyl-propionic acid 22, 6,7-dihydrobenzo[b]thiophen-
4(5H)-one derivative 26, 3,4-dihydronaphthalen-1(2H)-one derivative 30, Benzocycloalkanone
derivative 36, 3-methyl-6,7-dihydrobenzo[d]isoxazol-4(5H)-one derivative 55, 1,5,6,7-
tetrahydro-4H-indazol-4-one derivative 61, 2-methyl-1,5,6,7-tetrahydro-4H-benzo[d]imidazol-4-
one derivative 66. Different antipsychotic activities of the prepared compounds are summarized.
The Role of Medicinal Plants in the Treatment of Oral Cancers in vitro: A Systematic Review
Authors: Azadbakht Kamran , Shakib Pegah , Sanaie Ghazal 
Published: August 2024

Introduction:
The use of medicinal plant compounds for cancer treatment has been
considered since ancient times. This systematic study aimed to conduct a review on the effects of
medicinal plant extracts on oral cancer cell lines in vitro.

Methods:
In this systematic study, articles were searched in databases, including PubMed,
Google Scholar, ScienceDirect, Web of Science, and Scopus, using keywords as "herbal drugs",
"medicinal plants", "extract", "essence", "oral cancer", "in vitro", and "clinical trials".

Results:
After searching the articles according to inclusion and exclusion criteria, removing duplicates,
and reviewing full-text articles, the researchers entered the data of all the collected articles
into Endnote X9. Initially, 14,650 studies were identified, but after applying the inclusion/
exclusion criteria, 21 studies were selected.

Conclusion:
According to the inclusion and exclusion criteria, 21 studies have been selected. The
study's findings have revealed that medicinal plants have the potential to inhibit the growth of
oral cancer cells, making them a promising candidate for further research on cancer treatment.
In-silico based Designing of benzo[d]thiazol-2-amine Derivatives as Analgesic and Anti-inflammatory Agents
Authors: Mishra Arun K. , Thajudeen Kamal Y. , Singh Mhaveer , Rasool Gulam , Kumar Arvind , Singh Harpreet , Sharma Kalicharan , Mishra Amrita 
Published: August 2024

Background:
Benzo[d]thiazoles represent a significant class of heterocyclic com-pounds renowned for their diverse pharmacological activities, including analgesic and anti-inflammatory properties. This molecular scaffold holds substantial interest among medicinal chemists owing to its structural versatility and therapeutic potential. Incorporating the benzo[d]thiazole moiety into drug molecules has been extensively investigated as a strategy to craft novel therapeutics with heightened efficacy and minimized adverse effects.

Aims:
The aim of the present research work was to design, synthesize and characterize the new benzo[d]thiazol-2-amine derivatives as potent analgesic and anti-inflammatory agents.

Materials and Methods:
The synthesis of the presented benzo[d]thiazol-2-amine derivatives
was performed by condensing-(4-chlorobenzylidene) benzo[d]thiazol-2-amine with a number
of substituted phenols in the presence of potassium iodide and anhydrous potassium carbonate
in dry acetone. IR spectroscopy, 1HNMR spectroscopy, 13CNMR spectroscopy and Mass
spectroscopy methods were used to characterize the structural properties of all 13 newly synthesized
derivatives. The molecular properties of these newly synthesized derivatives were
estimated to study the attributes of drug-like candidates. Benzo[d]thiazol-2-amine derivatives
were molecularly docked with selective enzymes COX-1 and COX-2.

:
Analgesic and anti-inflammatory activities of synthesized compounds were evaluated by using
albino rats.

Results:
Findings of the research suggested that compounds G3, G4, G6, G8 and G11 possess higher binding affinity than diclofenac sodium, when docking was performed with enzyme COX-1. Compounds G1, G3, G6, G8 and G10 showed lower binding affinity than Indometh-acin when docking was performed with enzyme COX-2. In vitro evaluation of the COX-1 and COX-2 enzyme inhibitory activities was performed for synthesized compounds.

Discussion:
Compounds G10 and G11 exhibited significant COX-1 and COX-2 enzyme in-hibitory action with an IC50 value of 5.0 and 10 μM, respectively. Using the hot plate method and the carrageenan-induced rat paw edema model, the synthesized compounds were screened for their biological activities, including analgesic and anti-inflammatory activities. Highest analgesic action was exhibited by derivative G11 and the compound G10 showed the highest anti-inflammatory response. Inhibition of COX may be considered as a mechanism of action of these compounds.

Conclusion:
It was concluded that synthesized derivatives G10 and G11 exhibited significant analgesic and anti-inflammatory effect; therefore, the said compounds may be subjected to further clinical investigation for establishing these as future compounds for the treatment of pain and inflammation.
Integrating Machine Learning and Feature Extraction for Islanding Detection in Grid-Connected Photovoltaic Systems: A Hybrid Intelligent Approacha
Authors: Bhushan Indu , Chandra Subhash , Yadav Arvind 
Published: August 2024

Introduction:
In recent years, the integration of renewable energy sources, particularly
Photovoltaic (PV) systems, into the grid has garnered considerable attention. However, the distributed
nature of these grid-integrated PV systems has introduced challenges concerning grid
faults and maintenance.

Method:
This paper aims to present a pioneering approach to augment the monitoring of gridintegrated
PV systems by integrating intelligent methods, specifically machine learning and feature
extraction techniques. The primary focus of this approach is on islanding detection, which
involves promptly identifying grid faults or maintenance challenges and initiating the grid's transition
to an isolated mode of operation. To accomplish this, an intelligent signaling method is employed,
capitalizing on the capabilities of Distributed Generation (DG) networks. By recording
critical signals such as voltage, current, and frequency at common coupling points, fault conditions
can be accurately detected. Signals obtained from the grid are subjected to wavelet transformation
to extract pertinent information that characterizes fault conditions. These extracted features
are then utilized as inputs to machine learning methods, facilitating the proposal of intelligent islanding
scenarios. To assess the efficacy of the proposed approach, simulations are conducted on a
grid-connected PV system. The recorded signals are meticulously analyzed, and the extracted features
are employed to train machine learning models. The performance of these models is evaluated
based on their ability to detect fault conditions and initiate appropriate islanding scenarios accurately.

Result:
The results obtained demonstrate the immense potential of the proposed approach in bolstering
the monitoring of grid-integrated PV systems.

Conclusion:
By synergizing machine learning techniques with feature extraction and intelligent
signaling methods with the KNN-Confusion Matrix, all predicted labels match the true labels, resulting
in a 100% accuracy. The detection of grid faults and maintenance challenges can be substantially
improved, thereby fostering more efficient and dependable operation of these systems.
Language attitude of Pedawa`s adolescents towards their native language
Authors: Indrawati Ni Luh Ketut Mas , Puspani Ida Ayu Made , Sukarini Ni Wayan 
Published: August 2024

Assessing language attitudes in a multilingual community is important to investigate the shifted language use. In certain domains, research on language attitudes has received much attention in recent years. Pedawa village is a traditional village that is newly developed into a tourism destination in the northern part of Bali Island, Indonesia. Due to its contact with recent developments in tourism, and the use of the National Language (Indonesian), it is presumed that the adolescents have shifted their attitude towards their native language, Bali Age (BA). This research aims to describe the language attitudes of Pedawa adolescents towards their native language; in-depth interviews and distributing questionnaires were conducted to obtain the data. The results revealed that they have a positive attitude towards their language. It is signified by the response to the questionnaires which have five indicators concerning the frequency of using their language (BA) compared to the Indonesian and Balinese languages with Bali Dataran dialect, and six questions related to language attitudes. Though the village has just been promoted as one of the tourist destinations, it does not affect their positive attitude towards their native language.
Analisis Dampak Fenomena “Zoom Fatigue” di Masa COVID-19 Pada Anak Sekolah Dasar selama Pembelajaran Daring: Studi Literatur
Authors: Hanin Noerul , Adi Ahmad Cahyono 
Published: August 2024

Covid-19 telah mengakibatkan proses belajar mengajar yang semula dilakukan tatap muka menjadi pembelajaran jarak jauh. Kebijakan ini bertujuan untuk mengurangi dan mencegah penularan Covid-19. Proses pembelajaran jarak jauh diterapkan mulai dari tingkat dasar hingga tingkat perguruan tinggi. Pada tingkat sekolah dasar, proses pembelajaranjarak jauh dilakukan secara virtual dengan memanfaatkan media online seperti whatsapp, google classroom, hingga video conference seperti zoom. Berdasarkan Hasil observasi yang dilakukan mengenai kondisi siswa SD ketika belajar daring membuat siswa mudah marah dan menjadi malas. Fenomena ini mengindikasikan “Zoom Fatigue” yang mulai dialami oleh anak sekolah dasar. Penelitian ini bertujuan untuk mengetahui dan menganalisis fenomena “Zoom Fatigue” yang dialami oleh anak sekolah dasar dengan menggunakan pendekatan studi literatur yang memanfaatkan penelitian-penelitian terdahulu sebagai referensi dan melakukan kompilasi serta analisis untuk mendapatkan informasi mengenai “Zoom Fatigue” pada anak sekolah dasar. Hasil dari penelitian ini dipaparkan secara deskriptif dengan menjawab persoalan-persoalan “Zoom Fatigue” pada anak sekolah dasar. Hasil dari penelitian ini dapat menjadi referensi bagi sekolah untuk meningkatkan kualitas pembelajaran jarak jauh yang diterapkan.
Coping strategies for bullying: a phenomenology of student perceptions
Authors: Nurhayati Riana 
Published: August 2024

Efforts to reduce bullying in schools can be made by making strategies. However, so far, the strategies to overcome bullying are still seen from the teacher's point of view, and we need to see strategies to overcome bullying from students' perceptions. This study aims to find students' strategies for overcoming bullying. This research uses a qualitative approach with the type of phenomenology. The informants were high school and vocational high school students in Java. Data were collected through interviews, forum group discussions, and open-ended questionnaires. Data analysis used interactive analysis techniques. Data validity used triangulation of sources and techniques. The results showed that students' strategies to overcome bullying were carried out through social environment, internal factors, and external factors. The most effective strategies to overcome bullying are reporting to parents, teachers, or other students, being indifferent, establishing positive friendships, and focusing on the goals to be achieved. Supporting factors for the success of this strategy are the support system, guidance and counseling, and school socialization regarding anti-bullying. The inhibiting factors are school rules that still need to be firm, school culture that has not changed, and there is still an assumption that bullying is regular.Keywords: strategies bullying, phenomenology, student perceptions