bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Federated Weighted Learning Algorithm against Poisoning Attacks
Authors: Ning Yafei , Zhang Zirui , Li Hu , Xia Yuhan , Li Ming 
Published: December 2024

Abstract

The emergence of Federated Learning (FL) has provided a promising framework for distributed machine learning, where the probability of privacy leakage is minimized. However, the existing FL protocol is vulnerable to malicious poisoning attacks, thus affecting data privacy. To address this issue, Federated Weighted Learning Algorithm (FWLA) is introduced. In FWLA, the weight of each client is self-adjusted and optimized using asynchronous method and residual testing method during updating process. Each client uploads parameters independently in designed asynchronous training. Experiments show that the proposed framework can achieve at least 97.8% accuracy and at most 3.6% false acceptance rate for the CICIDS2017, UNSW-NB15 and NSL-KDD datasets, which reflects its state-of-the-art performance. Furthermore, when noise data exist in the training dataset, FWLA can also reduce the decline of accuracy, which ensures the robustness of federated learning.
Anomaly Detection in Quadcopter Systems Using AI and Vibration Signal Processing
Authors: LALEM Mohamed Seif El Islam , OUADAH Mhamed , TOUHAMI Omar 
Published: December 2024

Abstract

This study examines the implementation of artificial intelligence (AI) techniques for anomaly identification in quadcopters, concentrating on vibration data obtained from the ADXL345 accelerometer. The ESP32 Wi-Fi module analyses and transmits these signals, delivering high-resolution data appropriate for real-time monitoring. Diverse AI methodologies, encompassing supervised learning algorithms, are utilised to analyse the data and identify anomalies. Feature extraction techniques, including standard deviation (std), variance, and mean absolute deviation (MAD), are employed to augment the predictive capability of the data. Classifiers such as Random Forest and Support Vector Machine(SVM) are utilised on the retrieved features, with a maximum accuracy of 97.78%. The amalgamation of AI and IoT technologies facilitates an efficient and effective approach to enhance defect identification and problem diagnostics in unmanned aerial vehicles (UAVs), presenting substantial promise for augmenting the dependability and safety of these systems.
Study on the Motion Law of Metal Particles Based on Microfluidic Inductive Viscosity Measurement
Authors: Li Wei , Liu Yu , Han Wenbo , Tang Chaojun , Zhong Yuhang , Yue Haoyu , Zhao Bingqing , Zhang Hongpeng 
Published: December 2024

Abstract

Based on the principle of microfluidic inductive detection, this paper designs a micro viscosity measurement sensor for marine lubricating oil. The motion law of metal particles in the microchannel is studied by numerical simulation and experimental verification. The effects of parameters such as oil viscosity, oil density, particle diameter, particle density, and particle position on particle velocity are studied respectively. When the particles move at the bottom of the microchannel, as the particle diameter increases, the particle velocity first increases and then decreases. Among them, when the particle diameter is less than 600µm, the particle diameter is linearly proportional to the particle velocity at the same viscosity. The viscosity measurement experimental results at different temperatures are consistent with the simulation results. This study provides new ideas for the motion law of metal particles in microchannels, and also provides a new method for measuring the viscosity of marine lubricating oil, which avoids the occurrence of a major malignant accident.
Potential Mechanism of Tibetan Medicine Dali in the Treatment of Respiratory Diseases via Network Pharmacology
Authors: Fan Yuxin , Yang Yong , Wang Yunhong , Wang Jirui , Hua Lei , Zhang Xiaomei , Gao Sijia 
Published: December 2024

Abstract

As a source of Tibetan medicine “Dali”, Rhododendron anthopogonoides Maxim (RAM) has good medically helpful effect on respiratory diseases. However, the pharmacological and pharmacodynamic research on its active components is still scarce. In order to solve this problem, the research method of network pharmacology is used. The active components of RAM were obtained by searching the relevant literatures, and the protein targets of RAM were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP) with normalizing to the gene name through UniProt. Genes related to acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) were searched by Online Mendelian Inheritance in Man (OMIM) database and GeneCards database. The “Component-Target-Protein” network was established by Cytoscape software, and the core targets were screened by combining with STRING. And then the targets were analyzed for Gene Ontology function (GO) and Kyoto Encyclopedia of Genes and Genomes database (KEGG) pathway enrichment. We found 92 active components of RAM and 176 gene targets of ALI/ARDS were screened, including 46 common targets, which were related to biological processes such as inflammation, immune and inflammatory response, cell growth and differentiation and apoptosis. In conclusion, RAM regulates a variety of physiological processes such as cell growth, differentiation, apoptosis and death by activating the Toll-like receptor signaling pathway, TNF signaling pathway and etc., as well as regulating the inflammatory response of cells, the immune response of the body and promoting the inflammatory cytokines NF‐κB dependent expression and other processes to treat ALI/ARDS. This study revealed the mechanism of RAM multi-component, multi-target and multi-pathway, and provided scientific basis and research ideas for its clinical application.
Effects of high temperature annealing and low temperature metamictization on Archean zircon: constraints from U–Pb isotopes, trace elements and Raman dating
Authors: Ribeiro Carlos V. A. , Dantas Elton L. , Fuck Reinhardt A. 
Published: December 2024

Abstract
Zircon is a common accessory mineral that can survive extreme temperature conditions in the crust, although U-Th series radioactive decay is responsible for its self-destruction over long time scales. Upon exhumation at lower temperatures, metamict zircon grains are then more susceptible to isotopic and trace element disturbance. In this work, we investigated the isotopic and trace element behavior of zircon through LA-ICP-MS, coupled with Raman spectroscopy, from two Archean mylonitic samples within the São José do Campestre Massif, northeastern Brazil. U–Pb in zircon dating indicates Paleoarchean (3.3 Ga) sedimentation followed by Mesoarchean (3.0–2.9 Ga) high temperature metamorphism in the mylonitic paragneiss sample, while the mylonitic amphibolite was emplaced during the late Neoarchean (2521 ± 22 Ma) and reached high-temperature conditions during shear zone development and deformation during the Paleoproterozoic (2.0 Ga). Inherited zircon grains in the amphibolite are consistent in morphology and ages with zircon grains from the host paragneiss. However, high temperature annealing and structure recovery upon entrainment of inherited zircon grains in the hot mafic magma led to homogenization of trace elements and preservation of internal textures. On the other hand, zircon grains from the host paragneiss accumulated radiation damage for a longer time, leading to self-destruction of the crystalline structure. Upon later low temperature fluid influx, non-formula elements were incorporated in metamict grains, as evidenced by the positive correlation between trace elements and radiation damage. Raman zircon dating indicates Cambrian to Late Paleozoic exhumation for these rocks, which agrees with U–Pb in zircon lower intercept ages. Although often avoided in geochronological studies, metamict zircon can provide important constraints on low temperature events. Collectively, these observations show a complex trans-crustal history of zircon recycling and exhumation from the Paleoarchean to the Paleozoic and the rock-dependent behavior of zircon upon fluid flow and deformation. The results have implications for the interpretation of trace 36 elements in naturally annealed zircon grains, especially those inherited in mafic rocks.
Model Kontrol Pada Ekosistem Perkebunan Teh
Authors: Diana Arista Fitri , Romadan Gilang , Khumaeroh Mia Siti , Aulia Lathifatul , Iktiyar Zakaria Bani 
Published: December 2024

Tea plants are one of the commodities in Indonesia. In their development, the plantation ecosystem is heavily influenced by several factors, both internal and external factors. In the field of applied mathematics, mathematical modelling can be used to analyze the development of tea plant growth and their interaction each othe in their ecosystem. The mathematical model in this research is combining three main models, there are logistic model, epidemiological model, and predator prey model by adding fungicide and insecticide controls. Furthermore, local stability analysis is carried out and the optimal control problem is solved by Pontryagin maximum principle. The results of the analysis obtained five equilibrium points. Local stability analysis was carried out using the Routh Hurwitz criteria which showed the fifth equilibrium point is locally asymptotically stable. The basic reproduction number in the model is 0,99. Because it can be concludeed that there is no spread of disease in the tea plantation ecosystem after a period of 5 years. The control provided can reduce pest and disease attacks. After being given control, the population of infected tea plants decreased by 93,21%, Empoasca pests decreased by 99,47%, and leaf roller caterpillars decreased by 99,31% compared to the model that was not given control.Keywords: Tea Plantation, Dynamical Model, Fungicide, Insecticide, Optimal Control.
Prediction of water quality and LULC analysis using machine learning and geospatial techniques
Authors: Kaur Komalpreet , Singh Kanwarpreet , Gupta Sushindra Kumar , Tiwary Aditya Kumar 
Published: December 2024

ABSTRACT

The present study explores the use of machine learning and geographical methods to forecast and assess the quality of water and examine the use and coverage of land. The study focuses on the Karamana River in India and looks at the significant changes in LULC models and water quality parameters between 2001 to 2020. The study reveals material from a dynamic environment manifested in the river through detailed numerical analysis and visualization, including urban development, deforestation, and agricultural development. Moreover, it has the ability to identify fluctuations in water quality metrics, which includes temperature, dissolved oxygen levels, pH, conductivity, and biochemical oxygen demand (BOD), providing important insights into pollutants, ecological stresses, and human impacts. The Water Quality Index (WQI) evaluates the overall water quality. Correlation analysis elucidates the interactions between water quality parameters while also providing insight into pollution sources and ecosystem dynamics. The findings illustrate the efficacy of the random forest method in soil classification, as it effectively covers an even distribution of soil types. Overall, the study emphasizes the importance of informed strategies for land management and techniques for managing water quality in sustaining the Karamana River ecosystem.
(AUTO)BIOGRAFIA EM CENA E PROCESSO CRIATIVO:NARRATIVAS DO CONGADO MINEIRO
Authors: Silva Iasmim Alice 
Published: December 2024

Este texto tem como objetivo apresentar e refletir sobre o processo de criação da obra “Raiz D’água”. Percebo meu corpo, enquanto instrumento artístico que nasceu e foi acolhido pelas festas populares dos Congados mineiros- corpo em diálogo com saberes, afetos, memórias e ancestralidade - na busca por atingir um processo de criação que ruma a horizontes mais íntegros com a cultura afromineira. O congado e toda a sua ancestralidade, revela elementos simbólicos, gestuais, sonoros, que provocam a experimentar cenicamente. São referências práticas deste texto a vivência no Congado e Moçambique de Ibertioga/ MG e os saberes transmitidos oralmente através de familiares e referências como Inaicyra Falcão Santos (2009), Leda Maria Martins (1997; 2002), Juliana Mota (2012; 2020), Jarbas Siqueira Ramos (2017, 2019).
Effect of Silica Fume on the Performances of Self-compacting Repair Mortar
Authors: Euldji Meriem , Ghrici Mohamed , Choucha Said , Khatib Jamal 
Published: December 2024

Background
Concrete is a widely utilized material in construction worldwide. However, concrete performance could be damaged under aggressive environments, therefore, many concrete structures may require repair and frequent maintenance.

Objective
The aim of this study is to develop reinforced Self-Consolidating Repair Mortars (SCRMs) incorporating silica fume and polypropylene fibers.

Methods
This research aimed to study the effect of silica fume as an alternative supplementary cementitious material (SCM) on the performance of fiber reinforced self-consolidating repair mortars (SCRMs). For this purpose, five SCRMs mixes incorporating 0%, 5%, 10%, 15%, and 20% of silica fume as partial cement replacement were prepared. Testing included slump flow, flow time, and unit weight, air-dry unit weight, compressive and flexural strengths, dynamic modulus of elasticity and water absorption.

Results
The results indicated that the substitution of cement by 15% of silica fume improves the flexural strength and slightly reduce the compressive strength of the fiber-reinforced repair mortar. The lowest values of total shrinkage, water capillary absorption, and sorptivity were observed for repair mortars containing 10% silica fume. In addition, bonding results between repair mortars containing silica fume and old concrete substrate investigated by the bond flexural strength test showed good interlocking, justifying the effectiveness of these produced mortars.

Conclusion
The results reveal that structural repair mortars containing 10 and 15% silica fume conform to the performance requirements of class R4 materials (European Standard EN 1504-3) and could be used in repair applications.
Prevalence of Body Dysmorphic Disorder (BDD) among Orthodontic Patients Compared to Community Population in Eastern Mediterranean Region
Authors: Moawad Shadi 
Published: December 2024

Background and Objectives
Many orthodontists may recognize that some of their clinic's patients may have one or more abnormal physical or psychological conditions, such as Body Dysmorphic Disorder (BDD). The aims of this study were to screen and identify the prevalence of BDD among orthodontic patients using the COPS-BDD questionnaire. Additionally, the study aimed to compare the prevalence of BDD between orthodontic patients and the normal population (community group) in the Eastern Mediterranean region.

Material and Methods
Two groups of participants aged between 18-25 years old were recruited: a) Community group consisting of dental clinic visitors for operative procedures (n=503 participants), and b) Orthodontic patients' group comprising individuals seeking orthodontic treatment at orthodontic offices (n=500 participants).

Results
According to questionnaire guidelines, 7.36% and 11.2% of participants from the community group and orthodontic patients' group, respectively, were likely to have BDD with higher probability. Meanwhile, 16.7% and 12.4% of participants from these groups were still likely to have BDD but with lower probability. Females scored higher than males in both groups. In both groups, BDD was more common among females, with younger individuals showing higher likelihood of BDD. No significant differences in the mean scores of BDD subjects were observed when comparing the study groups. While there were no significant variations in the prevalence of BDD between both groups, the scores of questionnaire items suggested that subjects in the orthodontic patients' group received significantly higher scores than those in the community group, indicating a greater tendency to have BDD.

Conclusion
Body Dysmorphic Disorder (BDD) is a notable psychological condition that should be carefully investigated and addressed by orthodontists. It is recommended that BDD be routinely considered as part of the decision-making process in orthodontic offices.
Control of Asthma and its Influencing Factors in Children Followed in Pneumo-pediatrics Consultation at the Mother-child Hospital in the City of Marrakech, Morocco
Authors: Labyad Maryem , Draiss Ghizlane , El Fakiri Karima , Ouzennou Nadia , Bouskraoui Mohammed 
Published: December 2024

Introduction
Evaluate asthma control and determine its influencing factors to ensure adequate management and improve the quality of life for asthmatic children.

Method
A prospective cross-sectional study was conducted over a two-month period, from 02/11/2022 to 01/01/2023, at the pneumo-pediatric consultation at the MCH. The target population was asthmatic children aged 4 to 11 and their parents. The Arabic version of the C-ACT and PMAQ-3W were used to assess asthma control and medication compliance, respectively.
Statistical analysis was performed with SPSS, using descriptive and correlational analysis (bivariate and multivariate).

Results
203 asthmatic children were included in the study, out of which 60.6% were male, with a mean age of 6 years. Asthma was uncontrolled in 53% of children. Factors associated with uncontrolled asthma were rural residence, low parental education, low monthly family income, lack of awareness of triggers, presence of conjunctivitis or allergic rhinitis, occurrence of respiratory infections, parental history of asthma, exposure to smoking, and non-compliance with treatment.

Conclusion
53% of children had uncontrolled asthma. A range of predictive factors were significantly associated with suboptimal asthma control. Recommended actions to improve childhood asthma control include education on trigger prevention and medication compliance, treatment of comorbidities, and accessibility of care for all socio-economic classes.
Investigation of the Prevalence of Depressive Illness in Vitiligo Patients: A Cross-sectional Study
Authors: Askarpour Hedyeh , Raesi Rasoul , Hushmandi Kiavash , Razzaghi Alireza , Norouzi Amirreza , Daneshi Salman 
Published: December 2024

Background
Vitiligo, as a progressive skin disease, is associated with the public's negative attitudes toward this condition, as well as numerous social and familial problems that can lead to psychiatric disorders.

Aim
The present study was conducted to determine the frequency of depressive illness in patients with vitiligo.

Methods
This is a cross-sectional descriptive study conducted using census sampling on 178 patients with vitiligo who were referred to the skin clinic of Imam Khomeini Hospital (RA) in Jiroft in 2023. Data were collected face-to-face using the Beck Depression Questionnaire and analyzed using descriptive and inferential statistical tests in SPSS-22 statistical software, with a significance level of p less than 0.05.

Results
The average age of the examined patients was 31.4 ± 6.8 years. Of the participants, 53.3% were women and 46.7% were men. The frequency of individuals exhibiting moderate and severe depressive symptoms was 17.9% and 28.8%, respectively. The prevalence of depressive illness was higher among married women compared to single women.

Conclusion
The high prevalence of depressive illness symptoms in these patients underscores the urgent need for effective interventions and treatment strategies to address this mental health concern. The findings of this study highlight the necessity for continuous surveillance and monitoring of depressive illness prevalence and its risk factors, which will inform the development of effective interventions and policies aimed at mitigating this mental health issue.
Towards Zero Carbon Buildings: Overcoming the Financial Constraints to the Adoption of Biogenic Building Materials
Authors: Sodangi Mahmoud 
Published: December 2024

Introduction
The adoption of biogenic building materials is an important step towards decarbonizing the construction industry. However, a number of constraints limit their wider adoption in the industry.

Objective
To determine and analyse the financial constraints (FC) to the adoption of biogenic building materials; examine how they relate to one another; and provide strategy for overcoming the constraints to promote wider utilization of the materials in building construction.

Methods
The data for the study was obtained using methodical review of related literature and expert-based survey while the results were analysed using the decision-making trial and evaluation laboratory (DEMATEL) technique.

Results
The findings indicate that the most critical constraints with the strongest level of cause on other FC are high initial costs of materials (FC3), high design & production cost of the materials (FC4), lack of standardization & certification (FC7), difficulty in upscaling production (FC1), and limited access to capital and financing options (FC8).

Conclusion
This study contributes to advancing knowledge in sustainable construction practices by determining and understanding the specific financial constraints that impede the widespread adoption of biogenic building materials within the construction industry. By addressing these constraints, the study promotes sustainable practices within the construction sector, contributing to environmental conservation and resource efficiency.
Samoby (Safe Mom And Baby): An Android-based Application Increasing The Success Of Childbirth Planning And Complication Prevention Program
Authors: Titisari Ira , Kundarti Finta Isti , Indriani Ririn , Sendra Eny , Firdayanti Iva 
Published: December 2024

Introduction
The childbirth planning and complication prevention programme in the Sukorame Health Center area has faced challenges in implementation. Many pregnant women have not displayed the childbirth planning and complication prevention program stickers on their doors or windows, preventing the local community recognizing that a pregnant women lives in the area. The stickers are often incomplete. To maximize the success of the program an Android-based application called Samoby (Save Mom and Baby) was introduced. This study aimed to determine the effect of the Samoby (mom and baby safe) application on improving the childbirth planning and complication prevention program in the Sukorame Health Center area, Kediri City.

Method
This study used a pre-experimental design using a one-group pre-test and post-test approach, without a comparison group. Data were collected through questionnaires and observation sheets . The population was 50 pregnant women from the Sukorame Health Center area, Kediri, determined by a simple random sampling technique. Data were analyzed using the Wilcoxon Match Pairs Test, obtaining a p-value of 0.001.

Result
The study demonstrated that the android-based application had proven to be more effective in increasing the success of the childbirth planning and complication prevention program. The Samoby application allowed midwives could monitor the the completion and display of program stickers, leading to better compliance..

Conclusion
Samoby, an Android-based application, could increase the success of the childbirth planning and complication prevention program by 38% in the Sukorame Health Center Area, Kediri. However, t its use is limited to pregnant women with Android smartphones. The app could be further enhanced by adding new, more comprehensive features. Therefore, further research should explore the impact of Samoby with larger sample sizes and a control group.