bluuebunny/crossref_metadata_2025 huggingface dataset:
Aircraft engine fault diagnosis based on fused convolutional Transformer
Authors: Heidenberger Philp , Evans Christopher , Martin Jessica , Thomas Rodney
Published: October 2024

Aircraft engines will face corrosion and erosion problems when working in harsh gas path environments for a long time, and the fault parameter characteristics are not obvious. Therefore, accurate aircraft engine fault diagnosis methods are of great significance to ensure the safe operation of aircraft. In order to improve the prediction accuracy, an aircraft engine fault diagnosis method based on fused convolutional Transformer is proposed. The self-attention mechanism is used to extract useful features and suppress redundant information. The maximum pooling layer (MaxPool) is introduced into the Transformer model to further reduce the model memory consumption and parameter quantity, and alleviate the overfitting phenomenon. The simulation data set of turbofan engines based on GasTurb modeling is used for verification. The results show that compared with the Transformer network and other traditional deep learning models Back Propagation Neural Networks (BP network), Convolutional Neural Networks (CNN) and Recurrent Neural Network (RNN), the accuracy rates are improved by 6.552%、28.117%、13.189%and respectively 10.29%, which proves the effectiveness of the proposed method and can provide a certain reference for aircraft engine fault diagnosis.
GRU-IKF scene taxiing trajectory prediction model based on attention mechanism
Authors: Yusheng Liu , Xinmin Tang , Xuanming Ren
Published: October 2024

Aircraft taxi trajectory prediction helps solve operational problems such as airport taxiing conflicts and long waiting times, ensuring airport safety while improving service levels and increasing airport throughput. In view of the fact that the performance of machine learning models depends on good data sets, a method for predicting taxi trajectories of aircraft on the ground based on attention mechanism, fusion of gated recurrent unit (GRU) and improved Kalman filter algorithm (IKF) is proposed. Firstly, three independent gated recurrent unit networks are used to capture the motion state and temporal dependency of aircraft at future moments, and the attention mechanism is introduced to enhance the ability to extract data difference features and learn the mapping relationship from input to output; then, it is fused with the improved extended Kalman filter to integrate the output results of the neural network into the state prediction and update process to improve the accuracy of the predicted trajectory sequence. Finally, the effectiveness of the model was verified using the actual taxiing trajectory of aircraft at Lukou Airport. The simulation results show that the model can effectively and accurately predict the taxiing trajectory of aircraft on the surface, with an overall mean square error of about 0.00128. Compared with the single recurrent neural network (RNN), long short-term memory network (LSTM) and GRU model, the RMSE is reduced by 72.9%and respectively 39.9%, 54.7%and the prediction time is 40 ms. It can accurately and quickly predict the taxiing trajectory, which helps to reduce the operating load of the airport surface management system.
Ship detection method based on attention guidance and multi-sample decision making
Authors: Karzan Fatma , Anderson John , Harris Emily , Thompson Michael
Published: October 2024

Single-stage target detection methods have the characteristics of fast training speed and short detection time. However, its feature pyramid network is difficult to suppress the background and noise information of SAR ship images, and the detection head has prediction errors. To address this problem, this paper proposes a detection model based on attention guidance and multi-sample decision for synthetic aperture radar ship detection. Firstly, an attention guidance network is proposed and added to the highest level of the feature pyramid to suppress background and noise interference, thereby improving the representation ability of features. Secondly, a multi-sample decision network is proposed to participate in the prediction of target position. This network alleviates the impact of prediction errors on detection results by increasing the number of samples output in the regression branch. Finally, a novel maximum likelihood loss function is designed. This loss function constructs a maximum likelihood function using the samples output from the multi-sample decision network, which is used to standardize the training of the decision network and further improve the accuracy of target positioning. Taking the RetinaNet network model as the baseline method, compared with the baseline method and the current advanced target detection methods, this method shows the highest detection accuracy on the ship detection dataset SSDD, with AP reaching 52.8%. Compared with the baseline method, the proposed method improves the AP evaluation index 3.4% ∼ 5.7%, and the training parameter Params only increases by 2.03 M, and the frame rate FPS only decreases 0.5Iter/s.
Distinguishing between topological isomorphism and topological equivalence of power electronic converters
Authors: Liping Mao , Guipeng Chen , Zhiqiang Li
Published: October 2024

In the process of deducing the topology of power electronic converters, scholars often use topological equivalence or topological isomorphism to identify topologies with different structures but the same performance to avoid repeated research. However, the connotations of topological equivalence and topological isomorphism are not the same. This paper will clarify the method for accurately identifying topologies with the same performance by distinguishing the differences and connections between the two. First, it is derived that the necessary condition for topological isomorphism is that the determinants of their adjacency matrices are equal; then, it is derived that the necessary and sufficient conditions for topological equivalence are that their component composition is the same and their simple circuits correspond one to one; finally, the above two conditions are analyzed from the perspective of topological subgraphs, and it is found that topological isomorphism is a sufficient but not necessary condition for topological equivalence, and topological equivalence is a necessary and sufficient condition for the same topological performance. Therefore, in practice, equivalence rather than isomorphism should be used to identify topologies with the same performance. This paper verifies the correctness of the theoretical analysis through a case analysis. In addition, this paper also introduces a method for automatically determining equivalent topologies based on the depth-first search algorithm to help quickly and accurately identify converter topologies with the same performance.
Directed interactive topology optimization design for multi-agent affine formation maneuver control
Authors: Ahuja Ravindra K. , Evans Christopher , Martin Jessica , Turner Kevin
Published: October 2024

This paper investigates the directed interactive topology optimization design problem for multi-agent affine formation maneuver control. Firstly, considering the optimization indexes such as information interaction cost and information spreading energy consumption, a directed topology optimization model satisfying affine formation maneuver is established, including two sub-models of topology structure construction and weight allocation. Secondly, aiming at the topological structure construction for affine formation maneuver, a directed k-rooted graph detection method is proposed, which can realize the solution of d +1 -rooted constraint for directed information interaction topology, and then an improved NSGA-II topological structure construction optimization algorithm is designed. Finally, a formation of seven agents in twodimensional space is taken as an example for simulation verification. The results show that the improved topology NSGA -II topology construction optimization The algorithm has better optimization effects, can effectively provide a variety of feasible directed interactive topologies for affine formation maneuver control, and the generated interactive topology can meet the requirements of directed d +1 -rooted graph.
Study on radiation characteristics of multi-phase plumes containing ice crystals in orbit-control engines
Authors: Wudi Luo , Junxue Ren , Zhihui Li , Haibin Tang
Published: October 2024

In order to obtain the radiation characteristics of the multiphase plume containing ice crystals in the high-altitude orbit control engine and analyze its influence on the telemetry effect, this paper deduces the radiation characteristics parameters of gases based on Einstein radiation theory and radiation transfer equation. Based on the latest HITRAN2020 spectral line library solving gas radiation and the Mie theory of particle scattering solving particle radiation, the radiation characteristic parameters of the multi-phase plume containing ice crystals in the high-altitude orbital control engine and the radiation intensity distribution in the near-infrared and mid-long wave infrared bands are simulated, and the main influencing factors of the radiation are analyzed. The results show that, in general, the main radiation of the engine plume includes the scattered light in the near infrared band and the thermal radiation in the middle long wave infrared band. In the near-infrared band, considering solar background radiation, the total radiation amount in the calculation domain is about 10 −6 W/sr, and the thermal radiation is dominant within the axial distance of 0.5 m, while the ice crystal scattering is dominant beyond the axial distance of 0.5 m . In the mid-long wave infrared band, the total radiation amount in the calculation domain is about 10 W/sr, and the thermal radiation of gas dominates within 1 m axial distance, while the thermal radiation of ice crystal dominates beyond 1 m axial distance.
Self-supervised image change detection method based on lightweight capsule network
Authors: Gerla Mario , Wright Nicholas , Hughes Samantha , Lee Benjamin
Published: October 2024

In response to the significant impact of speckle noise on the accuracy of SAR image change detection, the high complexity of existing capsule network based image change detection methods, and the loss of a large amount of original image information in training samples, this paper proposes a self supervised image change detection method based on the Light Capsule Network (SCapsNet). First, the log ratio operator difference graph is generated, and the "pseudo label" of training samples with high confidence is obtained through the maximum inter class variance method and fuzzy C-means clustering method, which lays the foundation for self-supervised learning; Secondly, construct a three channel training sample based on the difference map of two temporal SAR images and logarithmic ratio operators to maximize the preservation of sample information; Then, SCapsNet is designed to extract training sample features through single scale convolution, and a single scale capsule network is used to mine spatial relationships between features; Finally, comparative experiments and ablation experiments were set up and tested on 5 real SAR Datasets. The experimental results show that the The advantage of this method is to improve the operational efficiency of the method while reducing model complexity, obtain stronger robust features, suppress the adverse impact of speckle noise on change detection performance, and improve change detection performance.
Prescribed finite-time tracking control with input buffer for a manipulator system
Authors: Andrew William , Anderson John , Harris Emily , Thompson Michael
Published: October 2024

The prescribed finite-time trajectory tracking control problem with input buffer is investigated for a linkage manipulator system. The backstepping method is used to design the prescribed finite-time trajectory tracking controller. A new prescribed finite-time performance function is proposed, which can more easily regulate control performance. With the help of this performance function, a constraint control law is designed for the tracking error, and a better transient performance than the existing prescribed finite-time performance function can be obtained under the same parameter conditions for the trajectory tracking process of the manipulator system. At the same time, a control input buffer function is designed, which solves both the overvoltage problem of control input caused by the overlarge position error of the manipulator and the problem that the manipulator system is difficult to start under heavy load. The simulation experiments verify the effectiveness and superiority of the proposed controller.
Railway foreign object tracking and detection with spatial positioning and feature generalization enhancement
Authors: Yong Chen , Zhen Wang , Fangchun Zhou
Published: October 2024

The existing deep learning foreign object tracking and detection algorithm is easily affected by complex environments and target occlusion, resulting in problems such as missed detection and low detection accuracy. A railway foreign object tracking and detection algorithm with spatial positioning and feature generalization enhancement is proposed. First, a multi-scale cascade improved GhostNet feature network is proposed to improve the feature extraction capability of infrared targets. Secondly, the spatial positioning and feature generalization enhancement module is designed by using the spatial position positioning and generalized morphological information of foreign objects to enhance the detection accuracy of targets with position movement and tracking trajectory changesin complex scenes. Then, a pyramid prediction network is constructed to obtain the detection anchor frame, type and confidence information of infrared railway foreign objects. Finally, by improving the DeepSORT tracking algorithm with improved category and confidence display, combined with Kalman filtering and Hungarian algorithm, railway foreign object tracking and detection in infrared weak light environment is realized. Experimental results show that the proposed method has a tracking and detection accuracy of railway foreign objects 83.3%, with an average detection rate of 11.3 frames per second. Compared with the comparison method, the proposed method has higher detection accuracy and has better performance in railway foreign object tracking and detection in infrared weak light scenes.
Aero-engine defect detection by integrating attention and multi-scale features
Authors: McConnell Virginia , Adams Kimberly , Simmons Andrew , Glover Bryan
Published: October 2024

The structural integrity of aircraft engines is related to flight safety. At present, aircraft engine defect detection based on borescope technology is mainly manual operation. In order to improve the detection accuracy and efficiency, an intelligent aircraft engine defect detection algorithm that integrates attention and multi-scale features is proposed to assist borescope work. First, to address the class imbalance problem of defect samples in the original borescope image, a multi- sample fusion data enhancement method based on geometric transformation and Poisson image editing is used to enrich small sample images and construct a defect dataset. Then, the coordinated attention module (CA) is integrated into the baseline network YOLOv5 to emphasize the extraction of defect features and enhance the network's distinction between defect targets and complex backgrounds. A weighted bidirectional feature pyramid structure (BiFPN) is constructed in the neck network to complete higher-level feature fusion and improve the expression ability of multi-scale targets. Finally, the bounding box regression loss function is defined as the EIOU loss to achieve fast and accurate positioning and identification of defect targets. Experimental results show that the average accuracy of defect detection of the proposed algorithm reaches 89.7%, which is improved compared with the baseline network 6.3%, and the size of the trained model is only 14.0 M. Therefore, the proposed method can effectively detect the main defects of aircraft engines.
A tisztességtelen kereskedelmi gyakorlatok szabályozása, avagy a versenyjog és a fogyasztóvédelem közös metszéspontja
Authors: Fazekas Judit , Bartha Ildikó
Published: October 2024

Vörös Imre jogtudósi munkásságában kiemelt jelentőségűek az európai jognak a magyar jogrendszerre gyakorolt hatásait vizsgáló kutatások. Az MTA Jogtudományi Intézetben Vörös irányításával folyó kutatások egyik területe a versenyjogot érintő új hatások vizsgálata volt. A 2006-ban lefolytatott kutatás aktualitását a tisztességtelen kereskedelmi gyakorlatok tilalmáról szóló 2005/29/EK irányelv transzpozíciójának előkészítése szolgálta, ami szükségessé tette a versenyjogi és fogyasztóvédelmi jogi alapkérdések megválaszolását. A kutatás eredménye nagyban segítette a teljes harmonizáció elvén alapuló, a fogyasztók gazdasági érdekeit védő, átfogó, horizontális jellegű irányelv magyar jogba való beillesztését. Erre is tekintettel e tanulmányban a versenyjog és a fogyasztóvédelem közös metszéspontját jelentő, tisztességtelen kereskedelmi gyakorlatok elleni szabályozás magyar sajátosságainak és ezzel összefüggésben a jogfejlődés legújabb fejleményeinek a rövid bemutatására vállalkozunk. Kitérünk továbbá egy speciális, Vörös Imre munkássága által szintén érintett terület, a közüzemi szolgáltatások nyújtásával kapcsolatos fogyasztóvédelmi kérdések tárgyalására is, ugyancsak az uniós jog és a hazai jog viszonyának vizsgálatát előtérbe helyezve.
An Uncertain Perspective on Consciousness
Authors: Nicholson John
Published: October 2024

This should be considered as an addendum to Fundamental Cosmology and Physics Beyond the Standard Model [1] and ideas from pilot/wave theory [2]. It is more accurate to say that this is a philosophical perspective that comes from common basic observations and we can give a simple demonstration of this Pilot Wave theory by showing several examples of scale invariance [3]. It is not only just at the smallest levels of quantum mechanics we can observe these properties. Consider large flocks of birds or schools of fish moving together at the human scales of perception. We may show each bird is a particle being piloted by the wave of birds in the flock. But, each bird is also a small part of the wave and has the freedom to change the waveform simultaneously, dynamically. As some might say, “That’s all there is folks.” A living fish or bird, with simpleconsciousness, can change the waveform based on internal freewill. There is something happening internally that sets life apart from that which can only be influenced externally. Life has internal dynamics. Particles interacting at the sub-atomic level have no choice in their interaction with the waveform, as this is solely influenced by its own (external) properties. Indeed there is a Markov blanket separating internal and external states. There is a repeating pattern of scale invariance when comparing brain holography theory and ADS-CFT correspondence [4], as black hole holography, as we will show.
การยืดอายุเส้นขนมจีนด้วยสารสกัดฝางเพื่อลดความเสี่ยงต่อภาวะอาหารเป็นพิษ
Authors: สินวัต สุรัสวดี , ทับทิมทอง ทวีรัตน์ , เอมเปีย จุฑาทิพย์ , พิมลทีป สตรีวิทย์ , เงินงาม แพรวพรรณ
Published: October 2024

ภูมิหลังและวัตถุประสงค์: ขนมจีนเป็นอาหารที่มีความเสี่ยงต่อการเกิดอาหารเป็นพิษ ซึ่งในท้องตลาดมีการใส่สารกันเสียเพื่อไม่ให้เส้นขนมจีนเกิดการบูดเน่าอันนำมาสู่การเกิดภาวะอาหารเป็นพิษ ซึ่งหากผู้บริโภคได้รับสารกันเสียเป็นประจำจะทำให้เกิดผลเสียต่อสุขภาพตามมา ดังนั้นการใช้สารสกัดฝางมาใช้ทดแทนการใช้สารกันเสียในอาหารประเภทเส้นขนมจีนจะช่วยลดการใช้สารกันเสียประเภทสารเคมีได้ โดยงานวิจัยนี้มีวัตถุประสงค์เพื่อเปรียบเทียบการยืดอายุเส้นขนมจีนที่มีส่วนผสมของสารสกัดฝางกับเส้นขนมจีนที่ ไม่มีส่วนผสมของสารกันเสีย, มีสารกันเสียตามมาตรฐาน, และมีสารกันเสียเกินมาตรฐาน
ระเบียบวิธีการวิจัย: เป็นวิจัยเชิงทดลองแท้ (True-Experimental Research) โดยศึกษาผลของสารสกัดฝางที่มีผลต่อระยะเวลาในการยืดอายุเส้นขนมจีน โดยเปรียบเทียบค่าความเป็นกรด – ด่างของสารสกัดฝาง
ผลการวิจัย: พบว่าเส้นขนมจีนที่มีส่วนผสมของสารสกัดฝางที่ความเข้มข้น 3, 6, และ 12 กรัม ทำให้ค่าความเป็นกรด-ด่าง ของเส้นขนมจีนมีการเปลี่ยนแปลง ตั้งแต่เวลา 30 ชั่วโมงเป็นต้นไป
สรุปผล: เส้นขนมจีนที่มีส่วนผสมของสารสกัดฝางสามารถยืดอายุเส้นขนมจีนได้ดีกว่าเส้นขนมจีนที่ไม่มีส่วนผสมของสารกันเสีย อีกทั้งสามารถยืดอายุเส้นขนมจีนได้ไม่ต่างกับเส้นขนมจีนที่มีส่วนผสมของสารกันเสียตามมาตรฐาน และเส้นขนมจีนที่มีส่วนผสมของสารกันเสียเกินมาตรฐาน
การส่งเสริมและพัฒนาคุณภาพทุเรียนให้ได้มาตรฐานทางการเกษตรที่ดี : กรณีศึกษา แปลงใหญ่ทุเรียนสี่ขีด อำเภอสิชล จังหวัดนครศรีธรรมราช
Authors: เมืองมุสิทธิ์ อัตพร , ไกรวาส กิจฐเชต , บุญสวยขวัญ รงค์ , สุขหอม อาภาภรณ์
Published: October 2024

ภูมิหลังและวัตถุประสงค์: กระทรวงเกษตรและสหกรณ์มีนโยบายในการส่งเสริมและพัฒนาคุณภาพทุเรียนให้ได้มาตรฐานทางการเกษตรที่ดี ทั้งนี้ เพื่อเป็นการควบคุม ป้องกัน และแก้ไขปัญหาทุเรียนด้อยคุณภาพออกสู่ตลาดซึ่งจังหวัดนครศรีธรรมราชเป็นแหล่งผลิตปลูกทุเรียนมากเป็นอันดับห้าของประเทศ โดยมีผลผลิตรวมในปี 2566 จำนวน 80,959 ตันแหล่งผลิตหลักอยู่ในพื้นที่อำเภอท่าศาลา อำเภอสิชล อำเภอนบพิตำ และอำเภอพิปูน ซึ่งในพื้นที่ตำบลสี่ขีด อำเภอสิชล จังหวัดนครศรีธรรรมราช เกษตรกรได้รวมตัวกันเพื่อเข้าร่วมโครงการการส่งเสริมและพัฒนาคุณภาพทุเรียนให้ได้มาตรฐานทางการเกษตรที่ดี ในการศึกษาครั้งนี้มีวัตถุประสงค์เพื่อ (1) ศึกษาการผลิตทุเรียนแปลงใหญ่ตามมาตรฐานการปฏิบัติทางการเกษตรที่ดี (GAP) ในพื้นที่ตำบลสี่ขีด อำเภอสิชล จังหวัดนครศรีธรรมราช (2) ส่งเสริมและพัฒนาคุณภาพทุเรียนแปลงใหญ่ในพื้นที่ตำบลสี่ขีด อำเภอสิชล จังหวัดนครศรีธรรมราช ให้ได้มาตรฐานทางการเกษตรที่ดี
ระเบียบวิธีวิจัย: ใช้วิธีวิจัยเชิงคุณภาพ (Qualitative Research) ในการศึกษา โดยใช้เครื่องมือแนวคำถามในการสัมภาษณ์แบบเจาะลึก (In-depth Interview) เพื่อเก็บรวบรวมข้อมูลจากผู้ให้ข้อมูลสำคัญ (Key Informants) จำนวน 10 คน ประกอบด้วย กลุ่มเกษตรกรสวนทุเรียนที่พัฒนาคุณภาพทุเรียนสู่มาตรฐานทางการเกษตรที่ดีของจังหวัดนครศรีธรรมราช กลุ่มเกษตรกรสวนทุเรียนในพื้นที่ตำบลสี่ขีดที่ดำเนินการหรือมีความสนใจพัฒนาคุณภาพทุเรียนสู่มาตรฐานทางการเกษตรที่ดี และกลุ่มนักวิชาการและปราชญ์ชุมชนด้านการพัฒนาคุณภาพทุเรียนสู่มาตรฐานทางการเกษตรที่ดี การวิเคราะห์ข้อมูลใช้วิธีการวิเคราะห์เนื้อหา (Content Analysis)
ผลการวิจัย: การผลิตทุเรียนแปลงใหญ่ตามมาตรฐานการปฏิบัติทางการเกษตรที่ดี (GAP) ในพื้นที่ตำบลสี่ขีด พบว่า เกษตรกรมีการปฏิบัติได้ได้ครบถ้วนตามมาตรฐาน ทางการเกษตรที่ดี (GAP) ทั้งด้าน (1) ด้านแหล่งน้ำ (2) ด้านพื้นที่ปลูก (3) ด้านการใช้วัตถุอันตรายทางการเกษตร (4) ด้านการเก็บรักษาและการขนย้ายผลิตผล (5) ด้านการบันทึกข้อมูล (6) ด้านการผลิตให้ปลอดภัยจากศัตรูพืช (7) ด้านการจัดการกระบวนการผลิตเพื่อให้ได้ผลิตผลคุณภาพ และ (8) ด้านการเก็บเกี่ยวและการปฏิบัติหลังการเก็บเกี่ยว ส่วนผลการศึกษาแนวทางส่งเสริมและพัฒนาคุณภาพทุเรียนแปลงใหญ่ในพื้นที่ตำบลสี่ขีด พบว่า (1) ด้านแหล่งน้ำควรมีการพัฒนาระบบน้ำอัจฉริยะ (2) ด้านพื้นที่ปลูกควรพัฒนาตามมาตรฐาน GAP (3) ด้านการใช้วัตถุอันตรายควรอบรมให้ความรู้เกษตรกร (4) ด้านการเก็บรักษา ควรมีการฝึกอบรมการเก็บรักษา (5) ด้านการบันทึกข้อมูล ควรกำหนดรูปแบบของการบันทึกข้อมูลที่ชัดเจน (6) ด้านการผลิตให้ปลอดภัยจากศัตรูพืช ค้นคว้าข้อมูลเกี่ยวกับโรคศัตรูพืช (7) ด้านการจัดการกระบวนการผลิตเพื่อให้ได้ผลิตผลคุณภาพ ส่งเสริมให้เกษตรกรรายใหม่ และ (8) ด้านการเก็บเกี่ยวและการปฏิบัติหลังการเก็บเกี่ยว ควรมีการอบรมวิธีการดูผลผลิตตามมาตรฐานการปฏิบัติทางการเกษตรที่ดี (GAP)
สรุปผล: เกษตรกรตำบลสีขีดมีความเป็นเลิศในด้านแหล่งน้ำ การจัดการศัตรูพืช และเทคนิคการเก็บเกี่ยว และพวกเขาก็ประสบความสำเร็จในการปฏิบัติตามมาตรฐาน GAP สำหรับแปลงทุเรียนขนาดใหญ่ ขอแนะนำให้สร้างระบบน้ำอัจฉริยะ เสนอการฝึกอบรมเกี่ยวกับการจัดการและการจัดเก็บวัตถุอันตราย และสร้างรูปแบบการบันทึกข้อมูลที่ชัดเจนเพื่อปรับปรุงคุณภาพต่อไป
Penerapan Metode Clustering Pada Kasus Kecelakaan Kerja
Authors: Prisa Abela  , Relita Buaton  , Magdalena Simanjuntak
Published: October 2024

Work accidents are one of the problems that often occur in companies/agencies where accidents happen to employees/workers and cause serious physical injuries. BPJS Employment is an insurance program that is trusted by agencies/companies by claiming Work Accident Insurance (JKK) which can help in easing the financial burden on families as well as initial efforts to handle cases of work accidents that occur. The main aim of this research is to assist companies in handling work accident cases that occur. The data used in this research includes work accident reports collected from the Bpjs Ketenagakerjaan Stabat office. The method used is the clustering method with the K-means algorithm, which was chosen because of its ability to group fairly large amounts of data with fast and efficient computing time. By using the clustering method that has been used to process work accident case data at Bpjs Ketenagakerjaan in Stabat, we can produce new information from the 672 data that have been tested. From 672 work accident case data at Bpjs Employment in Stabat, 3 clusters were obtained with the results of Cluster 1 having 2 work accident case data, Cluster 2 having 9 work accident case data and Cluster 3 having 9 work accident case data.
Pengaplikasian Data Mining Penentuan Penerimaan Bantuan Sosial Masyarakat Dengan Prosedur Algoritma Naive Bayes
Authors: Nurfalah Nurfalah  , Rouli Doharma Ms
Published: October 2024

Social assistance is an important aspect of government and non-government programs that can help on a large scale for the community so that the impact is to lighten life in the short term, but social assistance has several criteria such as income, social conditions, family status and the impact of the economic situation. . Knowing the criteria for social assistance is done by applying data mining to social assistance using the Naive Bayes algorithm procedure which produces accuracy calculations from 100 testing data, obtained good values, namely accuracy of 95.00%, precision of 92.31%, and recall of 97.95%.
The rapid advancement of information and communication technology has significantly impacted the lives of children and adolescents. While social media offers numerous benefits, its irresponsible use can lead to risks of personal data abuse and cybercrime.
Authors: Reno Rahmadiansyah Srg
Published: October 2024

The rapid advancement of information and communication technology has significantly impacted the lives of children and adolescents. While social media offers numerous benefits, its irresponsible use can lead to risks of personal data abuse and cybercrime. This study aims to develop smart and wise internet skills in social media for children and adolescents as an effort to protect personal data and prevent cybercrime. The research employs a qualitative approach with case studies in schools. The findings indicate that proper digital literacy education can enhance awareness among children and adolescents regarding existing risks and equip them with skills to use social media safely. This recommendation is crucial to be implemented in the educational curriculum to create a safer and more responsible generation in using technology.
CAUSAS E IMPACTOS CAUSADOS POR PROBLEMAS DE DRENAGEM PLUVIAL EFETIVA NA CIDADE DE GUARAÍ NO ESTADO DO TOCANTINS
Authors: Lourenço Neto Lázaro , Moreira Karla Cristina Bentes , Coêlho Marco Túlio Souza , Silva Kaibes Pereira da
Published: October 2024

A ocorrência de alagamentos tem se tornado cada vez mais comum em cidades brasileiras. A crescente onda de migração do campo para as cidades (êxodo rural) fez com que a área permeável no perímetro urbano fosse reduzida, dando lugares as construções civis. As causas de alagamentos são multifatoriais, mas pode-se citar também a falta de planejamento e poluição. A ocorrência desse fenômeno merece atenção uma vez que a ocorrência sazonal da estação chuvosa traz consigo prejuízos relacionados ao acúmulo de águas da chuva. A ação da chuva e os meios propícios para incidência de alagamento no centro da cidade de Guaraí, no estado do Tocantins é objeto de estudo da presente pesquisa. Esta visa levantar e indicar as possíveis causas, os prejuízos decorrentes e as eventuais formas de prevenção para tais alagamentos. As causas principais levantadas são a grande quantidade de áreas impermeáveis, associados ao sistema de escoamento de água ineficiente e ao acúmulo de lixo no próprio sistema de drenagem.
A INEFICÁCIA DAS MEDIDAS PROTETIVAS NO ÂMBITO DA VIOLÊNCIA CONTRA A MULHER
Authors: DA SILVA KARLA
Published: October 2024

O artigo analisa a Lei 11.340/2006, conhecida como Lei Maria da Penha, focando nas suas medidas protetivas e na sua eficácia. O objetivo é demonstrar a persistência da violência doméstica contra mulheres no Brasil e avaliar se as medidas legais são efetivas na proteção das vítimas. Inicia-se com uma visão geral da violência doméstica no país, detalhando os tipos de violência descritos na lei e as medidas protetivas de urgência previstas. A revisão da literatura aborda a origem histórica da violência doméstica e a evolução das medidas legais para combatê-la. O estudo de campo revela falhas na aplicabilidade das medidas, evidenciando a necessidade de uma revisão e aprimoramento da lei para garantir maior proteção e efetividade. Conclui-se que, apesar dos avanços, a Lei Maria da Penha enfrenta desafios significativos, principalmente relacionados à implementação e ao suporte institucional, que comprometem sua eficácia na proteção das mulheres.
ALIENAÇÃO PARENTAL E OS DÉFICITS NA APRENDIZAGEM DOS ALUNOS.
Authors: Santos Silva Daniela , Martins Silva Rocha Jakeline
Published: October 2024

Este artigo explora a alienação parental, um fenômeno psicossocial complexo comconsequências significativas para o desenvolvimento infantil, especialmente no contextoescolar. A alienação parental ocorre quando um dos genitores manipula a percepção dacriança contra o outro, criando um ambiente de conflito que afeta negativamente as relaçõesfamiliares, a saúde emocional e o desempenho acadêmico da criança. A relevância do temaestá no impacto profundo desse fenômeno sobre crianças com deficiências globais, que jáenfrentam desafios adicionais no processo de aprendizagem. O objetivo principal da pesquisa é investigar os danos causados pela alienação parental no ambiente escolar e analisar como esses efeitos comprometem o desenvolvimento educacional e emocional de crianças com deficiências globais. A pesquisa também propõe estratégias de intervenção eficazes, voltadas à prevenção e mitigação dos efeitos prejudiciais da alienação parental no contexto escolar. A metodologia adotada inclui uma revisão teórica da literatura e a análise de casos práticos, com o intuito de oferecer recomendações que promovam um ambiente educacional mais inclusivo e saudável.
CONTRIBUIÇÃO DA CRONONUTRIÇÃO NA PREVENÇÃO E TRATAMENTO DE DOENÇAS CARDIOVASCULARES – REVISÃO DE LITERATURA
Authors: Cristina Rocha Oliveira Elaine , Anna Letícia Catarina Abrantes Sá  , Maria Eduarda de Figueiredo Duarte
Published: October 2024

O sistema circadiano desempenha um papel crucial na saúde humana, regulando os ritmos biológicos e influenciando diretamente o metabolismo. Desequilíbrios nesse sistema podem resultar em consequências como distúrbios alimentares, ganho de peso, resistência à insulina e aumento do risco de doenças crônicas, incluindo doenças cardiovasculares. A crononutrição surge como uma estratégia terapêutica promissora ao investigar a relação entre os padrões alimentares, o ritmo circadiano e a saúde metabólica. Este estudo teve como objetivo examinar como o alinhamento dos hábitos alimentares com o ciclo circadiano pode prevenir e tratar desequilíbrios metabólicos, com foco especial na prevenção de doenças cardiovasculares. Por meio de uma revisão da literatura, foram analisadas as evidências científicas que indicam que a crononutrição, ao sincronizar a ingestão alimentar com os ritmos biológicos, pode reduzir fatores de risco como obesidade e hipertensão. Além disso, as as considerações finais deste artigo destacam a importância da educação nutricional e de práticas preventivas, como a adoção de dietas alinhadas ao ritmo circadiano e a atividade física regular, para reduzir a morbidade e mortalidade associadas às doenças cardiovasculares. A crononutrição, portanto, apresenta-se como uma intervenção terapêutica eficaz na promoção da saúde cardiovascular e na melhoria da qualidade de vida.
ATUAÇÃO DO MINISTÉRIO PÚBLICO NA RESPONSABILIDADE CIVIL AMBIENTAL
Authors: De Alcântara Rodrigues Branco Wellington , Vitor Santos Araújo Ricardo , Ferreira de Araújo Murilo , Augusto Lima Vaz da Silva Carlos
Published: October 2024

RESUMO
 Este trabalho analisa a atuação do Ministério Público na defesa do meio ambiente nos municípios de Nanuque e Serra dos Aimorés, entre 2018 e 2023. A pesquisa focou na identificação das principais violações ambientais, como desmatamento ilegal, poluição hídrica e descarte inadequado de resíduos, além de avaliar a eficácia dos instrumentos jurídicos utilizados, como o Inquérito Civil, o Procedimento de Investigação Criminal (PIC), o Termo de Ajustamento de Conduta (TAC) e as Ações Civis Públicas (ACP). A metodologia incluiu análise documental e avaliação de 26 processos judiciais relacionados à proteção ambiental. Os resultados indicam que 26,92% das ações foram relacionadas a Serra dos Aimorés e 73,08% a Nanuque. Em termos de área, houve uma ação para cada 30,51 km² em Serra dos Aimorés e uma para cada 79,90 km² em Nanuque. Em relação à população, a média foi de uma ação para cada 992 pessoas em Serra dos Aimorés e uma para cada 1.844,10 pessoas em Nanuque. O estudo revelou uma maior incidência de infrações ambientais em Nanuque e destacou a relevância do TAC e das Ações Civis Públicas na prevenção e reparação de danos. A pesquisa demonstra a importância da atuação proativa do Ministério Público para a sustentabilidade e melhoria da qualidade de vida local.
 
Palavras-chave: Ministério Público; Meio ambiente; Nanuque; Serra dos Aimorés; Ação Civil Pública.
DIREITO REAL DE USO COMO INSTRUMENTO DE DEFESA DA PROPRIEDADE EM FACE DE USUCAPIÃO
Authors: Vargas Torrelio Jorge Eduardo , Jacob Alexandre
Published: October 2024

Inicialmente, procurou-se averiguar no Código Civil brasileiro as razões jurídicas que impossibilitam o uso do direito real como instrumento de utilização preventivo da usucapião no cotidiano social, contendo a pretensão de estimular sua utilização para esse fim. O beneficiamento de prover o titular da competência sobre bem imóvel de instrumento o qual  se concebe apto, em termos jurídicos, prevenir contra os atos de terceiros que pretendem lograr a propriedade alheia, pensando-se ser mais coerente com o princípio da função social da propriedade, quando é expressado tal prática, esta pode conciliar, consequentemente, os interesses privados, quanto sociais, cita-se como exemplo, a instituição deste direito real seja efetivada em favor de terceiros carecente de amparo governamental, aponta-se como exemplo, os moradores de rua, a população de baixa renda e dos também os desempregados, que não possuem qualificação para o trabalho formal. O presente artigo objetiva discutir sobre o direito real de uso visto como um instrumento de defesa da propriedade em face da usucapião.  Para tanto, optou-se por método dialético-dedutivo, que se pauta em discussões doutrinárias divergentes sobre o tema proposto, a exemplo dos aspectos consentâneos aos conceitos e efeitos jurídicos. Os resultados atestaram que o direito real de uso constitui como um instrumento eficaz para a prevenção de a propriedade imobiliária ser usucapida, principalmente se o proprietário apresentar a carência de recursos financeiros; não tenha a capacidade de edificar sobre o terreno, mediante a carência de recursos de origem financeira, ou devido à distância do seu próprio domicilio e onde ele não consegue administrar ou monitorar a sua propriedade, por estes motivos a propriedade pode ser usucapida. Apesar do proprietário não poder estar sempre no imóvel, conseguiria tanto permanecer como seu titular, quanto o imóvel sendo protegido pelo Estado e resguardado um usuário de boa-fé de ter sua propriedade, atingindo ambos os interesses e atendendo as exigências fundamentais no que diz a respeito da função social da propriedade privada.
A MATEMÁTICA NA MICROSCOPIA: UM RELATO DE EXPERIÊNCIA EXTENSIONISTA
Authors: Auharek Sarah , Domingos Mouzinho Barbosa Tiago , Aloysio Amaral Ernani
Published: October 2024

Este trabalho descreve experiência vivida durante uma Oficina ministrada na Semana Nacional de Ciência e Tecnologia, 2017, com o tema: A Matemática está em tudo! A oficina proposta tinha como título "a matemática na microscopia" e foi ofertada a professores de Ciências e Biologia das redes pública e privada do município de Teófilo Otoni, Minas Gerais. A vivência dentro da oficina contribuiu para o aprimoramento dos professores da rede básica quanto ao uso do microscópio nas aulas práticas bem como evidenciou a transversalidade da matemática neste contexto. A atividade propiciou reflexão, compartilhamento de experiências e troca de saberes frente a uma dificuldade atemporal na educação básica: a compreensão da estrutura microscópica do corpo humano e a existência de uma realidade que não é captada pelo poder de resolução do olho humano.
RELAÇÃO DA MORDIDA ABERTA ANTERIOR COM A QUALIDADE DE VIDA DAS CRIANÇAS DURANTE A INFÂNCIA
Authors: Gomes Carvalho Vitória , Neto Camargos Frois Moacir , Rodrigues Aguiar Mainna , Araújo Mattos Lizziane
Published: October 2024

A mordida aberta anterior (MAA) é uma das más-oclusões mais frequentes na infância, caracterizando-se pela ausência de contato entre os incisivos superiores e inferiores, enquanto os dentes posteriores estão em oclusão. Este problema ortodôntico é complexo e multifatorial, resultando de fatores esqueléticos, dentários, tecidos moles e hábitos deletérios, como chupar dedo e uso de chupeta. A MAA pode ser classificada pela sua localização (anterior ou posterior) e origem (dento-alveolar ou esquelética). Seu tratamento exige uma abordagem multidisciplinar, envolvendo ortodontia, fonoaudiologia e, em casos mais graves, cirurgia ortognática, considerando a gravidade da má oclusão, a idade do paciente e características individuais. Este estudo foi realizado por meio de uma revisão da literatura, com o objetivo de compreender a relação entre a MAA e a qualidade de vida do paciente, além de identificar estratégias preventivas e opções de tratamento disponíveis. A pesquisa foi conduzida nas principais bases de dados, incluindo PubMed, SciELO e Google Acadêmico, além de outras fontes oficiais.
El posicionamiento de las marcas de productos de higiene personal en la población manabita
Authors: Franco-Mero Israel Smith , Rangel-Anchundia Lindsay Katherine
Published: October 2024

En esta investigación se analizó el posicionamiento de marcas de productos de higiene personal en la población manabita mediante el método de Análisis de Correspondencia Simple. Se empleó IBM SPSS versión 29 para analizar diversas marcas de productos de higiene personal (pasta de dientes, antitranspirante, shampoo, cepillos de dientes, papel higiénico, cosméticos, acondicionador de cabello y jabón de tocador) a través de una muestra representativa de 647 manabitas. La aplicación detallada de este método permitió visualizar de manera integral el posicionamiento de cada marca en relación con atributos específicos. Los resultados obtenidos proporcionaron una comprensión profunda del panorama competitivo y las preferencias de la población manabita en el ámbito de productos de higiene personal
Spiral decorated shawls in Late Iron Age Finland
Authors: Sahramaa Jenni , Pasanen Mervi
Published: October 2024

Spiral decorated shawls in Late Iron Age Finland (c. AD 800–1200) were elaborate and special garments with strong connections to identity. In prior research, richly decorated shawls from female graves have been reconstructed for ancient costumes. In this study, we trace the sensorial properties of shawls using microarchaeological methods, experimental archaeology and reconstructions. Examples from female graves, male graves and a child’s grave are included for examining the similarities and differences between spiral decoration techniques. In a broader context, we discuss the use and meanings of shawls in both life and death.
Como o diclofenaco pode contribuir para o controle da inflamação e dor pós-operatória em pacientes submetidos a procedimentos odontológicos?
Authors: Rosendo Cléia , Silva Laísy , Farias Joyce , Cosme Jefferson , Brandão Vanessa , Lima Yago
Published: October 2024

O estudo identifica, na literatura, como o medicamento diclofenaco pode contribuir para o controle das inflamações e dores pós-operatória em pacientes que foram submetidos a procedimentos odontológicos, buscando relacionar a importância do anti-inflamatório no pós-cir´´urgico. Devido as propriedades analgésicas e anti-inflamatórias do diclofenaco, nesse estudo pode-se analisar que o diclofenaco é um dos medicamentos mais utilizado no pós-cirúrgico, trazendo uma recuperação mais tranquila, e um bem estar para o paciente.
The Role of Various Factors in Accumulation of Household Debt on OECD Countries
Authors: Aziz Abdul Rehman , Israr Shumaila , Amin Sadiya , Ashraf Bisma , Tahir Hanzalah-bin
Published: October 2024

The rapid increase in household debt since the 1980s has significantly transformed economic environments and raised substantial concerns regarding financial stability, particularly in the aftermath of the 2008 global financial crisis. This research seeks to explore the underlying factors contributing to household debt accumulation across 30 OECD nations, examining the impacts of both demand and supply-side elements. The analysis utilizes a baseline regression model to assess the determinants of household debt, employing fixed effect (FE), random effect (RE), and panel corrected standard error (PCSE) estimators to ensure robustness over the period from 1995 to 2022. The findings of this study provide novel insights into the drivers of household debt. Additionally, the results indicate that income, interest rates, financial development, unemployment, housing prices, welfare expenditures, and the working population all exert positive and significant influences on household debt, while inflation is found to have a negative impact. Consequently, the study advises policymakers to exercise caution and take proactive measures to prevent household indebtedness from escalating to unsustainable levels, thereby fostering sound countercyclical policies and ensuring adequate regulation of the housing market.
Explore How Transformational Leadership Styles Impact Educational Environments and Student
Authors: Sultana Nargis , Ayoob Muhammad , Samson Haroon , Saeed Anwar
Published: October 2024

This study investigates the impact of transformational leadership on school climate and student outcomes using both correlational and regression analyses to assess the relationships between leadership behaviors and educational variables. The findings reveal that transformational leadership significantly enhances teacher collaboration (r = 0.65), inclusivity (r = 0.71), and innovation (r = 0.58), with leadership explaining up to 51% of the variance in inclusivity. Additionally, transformational leadership is positively correlated with student outcomes, including academic performance (r = 0.62) and student engagement (r = 0.62). Schools led by transformational leaders had higher mean scores in student academic performance, with an average test score of 85.50 compared to 78.00 in schools with other leadership styles. Statistical analyses such as ANOVA confirmed that these differences are statistically significant, showing that transformational leadership fosters a more collaborative, inclusive, and innovative school environment, which directly enhances student engagement and academic achievement. These results highlight the importance of transformational leadership in educational settings, particularly in shaping both teacher effectiveness and student success. The study concludes by recommending leadership development programs, collaboration initiatives, and regular leadership evaluations to ensure continuous improvement in school environments.
Vibration Characteristics and Reduction Analysis of the Lifting Pipe Below Sea Wave
Authors: Rahman Sabaruddin
Published: October 2024

The effect of vibration dampening on lifting pipes in deep sea mining has attracted more and more attention in the last three decades; however, there are very few reports in the literature on the influence of ocean currents on pipe vibrations. Considering the geometric features of the prototype, this paper establishes the physical, mathematical, and simulation models of the lifting subsystem. A comprehensive finite element model for a deep sea mining system by OrcaFlex was developed to explore the influence of prop mass and sailing speed on deflection angles and axial loads and stresses of lifting pipes. Analytical and numerical simulations have been formulated to describe the variation rules of longitudinal vibration and axial stress at pump and buffer positions for the lifting subsystem to determine dynamic vibration damping parameters. This paper uses MATLAB and Orcaflex software to verify the mathematical model. The simulation results show that the installed DVA can effectively reduce the axial stress and longitudinal displacement at specific positions of the lifting pipe.
Impact and Failure of Internal Pressure of Pipe Connections C Influenced by Sea Water
Authors: Husain Firman
Published: October 2024

The consequences of seawater absorption on the impact behaviour of glass/epoxy composite elbow pipe joints were investigated experimentally. Glass-epoxy elbow pipe connections using E-glass and S-glass are made using hand layup. Pipe connections are soaked in water according to current conditions for 0,3 and 6 months. The relationship between unmanaged and aged samples was studied by calculating contact force, displacement, and absorbed energy values ​​from impact tests. Therefore, it is concluded that seawater increases the ageing period of E-glass/epoxy fibre-reinforced composite pipe elbow joints, resulting in degradation between the fibre and resin interface, which is more prominent in elbow joints made with E-glass than in those made with S-fiber—proposed glass.
Pengaruh Aromaterapi Inhalasi Terhadap Penurunan Nilai Kecemasan Pada Pasien Gagal Ginjal Kronik Yang Menjalani Hemodialisa Di Rumah Sakit Grandmed Lubuk Pakam
Authors: Pratiwi Christa Simarmata  , Sari Desi Esta Ulina Sitepu  , Erik Huandi Sitorus
Published: October 2024

Anxiety is one of the complaints of patients with Chronic Kidney Failure (CKD) undergoing hemodialysis. CAM (Complementary Alternative Medicine) therapy as a substitute for drugs using lavender aromatherapy is expected to reduce anxiety levels in CKD patients who are undergoing hemodialysis therapy. The aim of the study was to determine the effect of inhaled aromatherapy on reducing anxiety levels in CKD patients undergoing hemodialysis at Grandmed Lubuk Pakam Hospital. This type of research is quantitative research with a pre-experimental research design with one group pre-test and post-test approaches. The sampling technique in this study was total sampling with a total of 20 respondents. Data analysis was carried out using the sample paired t-test. The results of the study obtained a p-value of 0.00 where the p-value was <0.05, it can be concluded that there was a significant effect after being given inhaled aromatherapy to decrease anxiety values in CKD patients at Grandmed Lubuk Pakam Hospital. The conclusion in this study is that lavender inhalation aromatherapy has a significant effect on reducing anxiety levels in CKD patients undergoing hemodialysis and it is recommended for health workers to further improve anxiety management with non-pharmacological measures.