bluuebunny/crossref_metadata_2025 huggingface dataset:
Key Factors Influencing the Gas and Nozzle Outlet Temperature in Cold Spray
Authors: Kindermann Philipp , Wunderer Martin , Straßer Maximilian , Lehmann Maja , Ünsal Ismail , Schlick Georg , Seidel Christian , Volk Wolfram
Published: October 2024

Cold spray is comparatively novel thermal spray process with high potential for the additive manufacturing of metallic materials. It has several unique characteristics – most notably, the process does not require any melting or fusion of the processed materials and the substrate. The powder is accelerated by a gas flow and forms dense layers on impact due to the high kinetic energy. The chamber temperature is the most known parameter in cold spray alongside the pressure of the process gas. The set chamber temperature has a crucial effect on the gas flow and its velocity and, thus, the build quality. However, in addition to the chamber temperature, other parameters, such as the nozzle material and the powder gas flow rate, also influence the parameters of the gas flow. The cause-effect relationships are not yet fully understood. This paper describes the influence of the nozzle material on the outlet gas temperature and its effect on the particle velocity.
Yerel Yönetimlerde Dijital Demokrasi
Authors: KAMAN Derya
Published: October 2024

Bilgi iletişim teknolojilerinde yaşanan yenilikler; sosyal, kültürel ve siyasal alanları önemli ölçüde etkilemiştir. Birçok alanda daha fazla bilgiye ihtiyaç duyma, hızlı erişim ve katılım gibi durumlar ortaya çıkmıştır. Bu durum vatandaşın yönetim sürecindeki konumunu da etkilemiştir. Yönetimde bilgi iletişim teknolojilerinin yansımasının bir sonucu olarak dijital demokrasinin gelişimi, vatandaşların yönetim organlarına yaklaşma ve onlarla iletişim kurma biçimlerinde dönüşüm meydana getirmiştir. Nitekim dijital dönüşüm demokrasiyi dönüştürerek vatandaşlara çevrimiçi tartışmalar, yönetim süreçlerine katılma ve yöneticilerle çevrimiçi iletişim kurma imkânı sunmuştur. Bütün bu yenilikler yerel yönetimlerde yönetici-vatandaş ilişkisini sağlamlaştıracak uygulamaların ortaya çıkmasına katkı sağlamıştır. Bu eserde bilgi iletişim teknolojilerinin demokrasiyi etkilemesi sonucu ortaya çıkan dijital demokrasinin hem dünyadaki hem de Türkiye’deki uygulamaları üzerinde yoğunlaşmaktadır. Ayrıca Türkiye’de yerel yönetimlerde dijital demokrasi uygulama başarısı nedir ve dijital demokrasiyi etkileyen faktörler ele alınacaktır. Bu yönde yapılan tespitler, yerel yönetimlerde demokrasinin geliştirilmesi ve dijital demokrasinin uygulanması için yapılacak çalışmalarda nerelere ihtiyaç duyulduğunun anlaşılmasında önemli bir rol oynayacaktır.
ULUSLARARASI PİYANO EŞLİKLİ ÇOCUK HALK ŞARKILARI
Authors: KARABURUN DOĞAN Derya
Published: October 2024

Bu albümde yer alan düzenlemesi Doç. Dr. Derya KARABURUN DOĞAN tarafından yapılan piyano eserlerinin bir bölümü Ziya Aydıntan ve Saip Egüz tarafından hazırlanmış 1985 yılında yayınlanmış olan Çok Sesli Müzik Eğitimi adlı okul kitabından temin edilmiştir. Farklı ulusların anonim çocuk halk şarkılarından oluşan eserler çocukların öğrenimine uygun şekilde piyano eşlikli düzenlemeleri yapılarak stüdyo ortamında seslendirilmiş internet ortamına aktarılmış ayrıca yazılı olarak beğeninize sunulmuştur.
“There is only one morally, legally and strategically defensible choice: an arms embargo”
Authors: Dill Janina , Bönnemann Maxim
Published: October 2024

Five Questions to Janina Dill
Taking Back Control?
Authors: Riemer Lena
Published: October 2024

This week, the Polish government unveiled its new migration strategy which lays out a proposal that, “in the event of a threat to destabilize the country by an influx of immigrants, it should be possible to temporarily and territorially suspend the right to accept asylum applications.” This blog argues that the proposal is not only unlawful but also poses a threat to the common European asylum system. This is so especially in light of the upcoming implementation of the New Pact on Migration and Asylum, a set of new rules managing migration and establishing a common asylum system at EU level.
Fatigue life prediction of CFRP flat-fold-flat adhesive joints
Authors: Ji Xu , Yong Xiao , Pengcheng Deng
Published: October 2024

Taking the flat-fold-flat (FJF) adhesive joints of carbon fiber reinforced bismaleimide resin-based composite materials as the object, the regularized fatigue life model and residual stiffness model of the one-way plate and the cohesive model parameters of the adhesive layer were fitted experimentally, and based on this, the fatigue life of the adhesive joint was predicted by ABAQUS software. The results show that under specific maximum load conditions, the predicted cracking life of the adhesive layer at the end of the lap joint and the final fatigue life are not greater than the error values of the test results 3% , which has a relatively good calculation accuracy. The cracking life of the adhesive layer at the end of the lap joint is approximately equal to the final fatigue life of the adhesive joint, indicating that the cracking of the adhesive layer at the end of the lap joint accounts for the main part of the total life of the adhesive joint, and the crack propagation life of the adhesive layer can be ignored.
Time-varying displacement excitation and dynamic modeling of angular contact ball bearing with local defects
Authors: Taylor Amanda , Garcia Alfredo , Ruizhe Song , Gaofeng Fang
Published: October 2024

Angular contact ball bearings will produce fault damage when working for a long time, thus affecting the normal operation of the system. This paper takes angular contact ball bearings with local defects on the outer ring as the research object, proposes a method to distinguish different local defect profiles, establishes a generalized characterization model of time-varying displacement excitation of local defects in angular contact ball bearings, and studies the evolution process of local defects and their displacement excitation mechanism. On this basis, considering the influence of time-varying displacement caused by bearing defects on dynamic characteristics, based on Hertz contact theory, a fault dynamics model of angular contact ball bearings is established, and the correctness of the established model is verified by experiments. In addition, the analysis results show that rectangular local defects will eventually evolve into trapezoidal shapes; the displacement excitation change trends induced by different defect morphologies are different; compared with the length of local defects, the width has a greater impact on displacement excitation. The research results provide a theoretical basis for bearing optimization design and fault diagnosis.
Rolling bearing fault diagnosis method based on SSA-IWT-EMD
Authors: Morgan Jaison , Hall Sophia , Young Daniel , Storm Phillip
Published: October 2024

Aiming at the problem of insufficient wavelet threshold noise reduction and unclear extraction of characteristic frequency of EMD decomposition, a rolling bearing fault diagnosis method based on SSA-IWT-EMD is proposed. Two adjustment factors are introduced to propose an improved threshold function (IWT), which overcomes the shortcomings of traditional soft and hard thresholds, and the sparrow search optimization algorithm (SSA) is used to globally optimize its parameters to achieve rolling bearing signal noise reduction. A comprehensive index P is proposed to select and reconstruct the components generated by empirical mode decomposition (EMD) to highlight the fault characteristic information of the signal. Envelope spectrum analysis is used to realize bearing fault diagnosis. Simulation and measurement results verify the effectiveness of the proposed method; at the same time, compared with the method of selecting components with a single index and the literature method, it is shown that the comprehensive index P and the proposed method have stronger noise reduction and feature extraction capabilities, and the envelope spectrum amplitude and frequency doubling components are more obvious, which can better realize the fault diagnosis of rolling bearings.
Image recognition based on THGS algorithm to optimize ResNet-18 model
Authors: Li Jian , Liu Huan , Li Yanqiu , Wang Hairui , Guan Lu , Liao Changyi
Published: October 2024

In order to quickly and accurately identify brown spot images, an improved THGS-ResNet-18 recognition model is proposed in this paper. Firstly, the Hunger Game search algorithm is improved by using Tent chaos mapping to solve the problem of excessive randomness in the population initialization of the Hunger Game search algorithm. Secondly, the hyperparameters of the improved Hunger Game search algorithm are optimized for the ResNet-18 model. Finally, the improved model THGS-ResNet-18 is applied to identify 5064 rice leaf images, and compared with four other ResNet-18 models improved by swarm intelligence algorithm on seven evaluation indicators. Experiments show that the model proposed in this paper has improved accuracy 5.22%−6.09%, sensitivity 3.53%−5.31%, specificity 7.38%, precision 6.95%−7.13%, recall 3.53%−5.31%, f-measure 5.22%−6.20%and g-mean 5.24%−6.13%.
Target detection and obstacle avoidance for UAV based on dynamic vision sensor
Authors: Cai Zhihao , Tan Henry , Zhao Jiang , Wang Yingxun
Published: October 2024

Aiming at the problem of UAV sensing dynamic targets and avoiding high-speed dynamic obstacles in dynamic environments, a target detection and obstacle avoidance algorithm based on dynamic vision sensor is designed. A filtering method and motion compensation algorithm are designed to filter out background noise and hot spot noise in the event stream as well as redundant events caused by the camera's own motion. A dynamic target fusion detection algorithm that fuses event images and RGB images is designed to ensure the reliability of detection. The target motion trajectory is estimated based on the detection results, and the speed obstacle method is improved to avoid dynamic obstacles by combining the obstacle motion characteristics and UAV dynamic constraints. A large number of simulation tests, handheld tests and flight tests verify the feasibility of the proposed algorithm.
Fault diagnosis method of rolling bearing of BN ball mill based on AESL-GA
Authors: Simchi Levi David , Anderson John , Harris Emily
Published: October 2024

Aiming at the shortcomings of incomplete and inaccurate knowledge-based Bayesian network (BN) construction methods, a BN structure construction method based on knowledge guidance and data mining is proposed. Aiming at the problem of inaccurate single signal fault diagnosis results and the uncertainty problem in fault information, the current signal and the vibration signal are fused to establish the feature nodes of the BN network, and the fault feature parameters of the two signals are extracted respectively. The feature basket is selected using the discrimination index method and used as the node of the BN structure feature layer. The initial BN structure constructed by expert knowledge is combined with the adaptive elite structure genetic algorithm (AESL-GA) for structural optimization. By adaptively restricting the search space in the evolution process, reducing the number of free parameters, improving its global search ability, and obtaining the optimal BN structure. The method is verified by the measured data of the ball mill rolling bearing of Jinchuan Company and the Paderborn University data set, which proves the effectiveness of the proposed method.
Research on network time reliability evaluation method based on uncertainty theory
Authors: Brandeau Margaret , Collins Robert , Carter Ashley
Published: October 2024

In view of the problem that existing network time reliability assessment methods often only consider the impact of inherent uncertainty, while ignoring the impact of epistemic uncertainty caused by insufficient fault information on reliability assessment results, a new method based on uncertainty theory is proposed. According to the node range of network reliability, two types of measurement parameters of single node pair and multi-node pair time reliability are designed. The extended uncertain network model is proposed to directly model the epistemic uncertainty characteristics on nodes and links, and further single node and multi-node pair time reliability algorithms based on the most reliable path and the most reliable extended uncertain subnetwork are designed. Finally, taking a six-node network and the backbone network of China Education and Research Network (CERNET) as examples, the method is applied to evaluate two time reliability indicators, verifying the correctness and effectiveness of the method.
Design of Bayesian evaluation test for missile damage effectiveness based on multiple damage level standards
Authors: Chen Tong , Liu Haobang , Hu Tao
Published: October 2024

The qualified missile damage effectiveness is an important guarantee for giving full play to combat effectiveness. In order to test whether the missile damage effectiveness meets the standard, it is particularly necessary to carry out damage effectiveness identification test research. In view of the limitation that the existing "single-shot damage probability" damage effectiveness quantitative characterization index is difficult to fully describe the missile damage effectiveness based on a single damage standard, considering the different damage level results formed by a single missile hitting the target, the damage effectiveness is characterized by the probability of occurrence of different damage level results. Missile identification from the perspective of multiple damage level standards is conducive to comprehensive inspection of missile damage effectiveness. In addition, in order to overcome the problem of insufficient information in small sample missile assembly tests, the Bayesian method is combined with the system contribution degree to fuse multi-source prior information in the identification test design, and a test scheme with full information utilization and controllable risks for both parties is designed. The example shows that compared with the quantitative characterization index of a single damage standard, this study can fully describe the missile damage effectiveness, and compared with the improved binomial distribution hypothesis test method, the superiority of this method is verified.
Magnetic resonance imaging reconstruction based on geometric distillation and feature adaptation
Authors: Lin Duo , Yong Ren , Boyu Xu , Xin Yang
Published: October 2024

Although existing deep learning-based compressed sensing magnetic resonance imaging methods have achieved good results, the interpretability of these methods is still challenging, and the transition from theoretical analysis to network design is not natural enough. To solve the above problems, this paper proposes a deep dual-domain geometry distillation feature adaptive network (DDGD-FANet). The deep unfolded network iteratively unfolds the magnetic resonance imaging reconstruction optimization problem into three sub-parts: data consistency module, dual-domain geometry distillation module and adaptive network module. It can not only compensate for the lost contextual information of the reconstructed image and restore more texture details, but also remove global artifacts to further improve the reconstruction effect. Experiments were conducted using three different sampling modes on public datasets. The results show that DDGD-FANet achieved higher peak signal-to-noise ratio and structural similarity index under the three sampling modes. Under the Cartesian CS ratio, the peak signal-to-noise ratio was improved by 3.34 10%dB and 3.34 dB respectively compared with the three models of ISTA-Net+, FISTA-Net and DGDN.5.01 dB、4.81 dB
Spaceborne particle identification platform and its application based on convolutional neural network
Authors: Chaoping Bai , Shenyi Zhang , Xu Zhang , Yueqiang Sun , Shuai Zhang , Ziting Wang
Published: October 2024

The identification of particle types in space radiation particle detection is a problem of great concern in scientific research and engineering applications. At present, the particle types are mainly identified by the difference in energy deposition of particles in the sensor, the difference in waveform in the sensor, the flight time and energy of particles, and the difference in the deflection path of particles in the electric field, such as traditional telescope detectors, particle pulse waveform analysis, flight time TOF system and electrostatic analyzer. However, the current on-orbit particle identification logic is relatively simple and the identification accuracy is limited. Convolutional neural networks have powerful target classification capabilities and are good at capturing and extracting target feature details, which can improve the accuracy of particle energy measurement and identification. Based on the environment commonly used in space environment detection payloads, this paper proposes a method for building an on-orbit convolutional neural network particle identification platform to achieve particle type identification. The platform first constructs a multi-dimensional input data set, completes the model training and weight derivation with the help of the software platform, and completes the waveform inference and data set expansion through the hardware platform. The established identification platform is used to train and test the neutron and gamma waveform data obtained in actual tests, and the accuracy of the identification of the software and hardware platforms is analyzed, completing the verification of the platform. The establishment and application of this platform provides a new idea and method for particle measurement and identification in future space environment detection, and has strong engineering practice significance.
Research and application of intelligent diagnosis method for impeller fault based on centrifugal pump digital twin flow field cloud map
Authors: Kumara Soundar , Walker Daniel , Moore Rachel , Hall Timothy
Published: October 2024

With the development of industrial technology, the demand for health diagnosis and maintenance of centrifugal pumps is becoming increasingly urgent. Combining digital twin and machine vision technology, this paper proposes an intelligent diagnosis method for centrifugal pump impeller machinery fault based on digital twin flow field cloud map. Firstly, the centrifugal pump digital twin model is used to simulate the evolution of random fracture fault of impeller blades, and the impeller flow field pressure and velocity cloud maps with different fault characteristics are generated; secondly, based on the learning and training of Yolov5 algorithm, two types of machine vision models of pressure and velocity cloud maps are obtained, and the preliminary diagnosis of impeller faults is realized by combining statistical analysis; then, considering the complementary advantages of the two types of detection models, the two are integrated based on the idea of stacking integration to improve the accuracy of impeller fault diagnosis. Experimental verification shows that for random fracture faults of impeller blades, the centrifugal spring intelligent fault diagnosis method proposed in this paper can achieve a diagnostic accuracy of more than 0.99, and the developed intelligent diagnosis system for centrifugal pump impeller machinery faults enables the method in this paper to be put into practice.
Design method of aircraft boundary characteristics based on upwind adjoint equation
Authors: Jun Deng , Zhenghong Gao , Jiangtao Huang , Ke Zhao , Lu Xia
Published: October 2024

The boundary characteristics of an aircraft determine its safety and flight performance, and have always been the difficulty and focus of aircraft design. This paper aims to improve the accuracy, efficiency and robustness of the adjoint equation solution for complex flow problems by introducing the adjoint equation of the upwind format and different flux limiter processing forms, thereby expanding the application scope of the adjoint optimization method in the design of the boundary characteristics of aircraft. Firstly, the basic principle of discrete adjoint gradient solution is introduced. On this basis, the inviscid term of the adjoint equation and the variational form of its boundary conditions are derived. According to the processing method of the flux limiter, the adjoint equation with first-order accuracy, second-order accuracy and mixed accuracy is formed. Then, the boundary processing measures of the adjoint equation are studied. Through the ONERA M6 wing gradient accuracy and robustness verification example, the solution performance of the adjoint equation of the upwind format and the center format is compared, and the influence of the limiter and boundary processing measures on the convergence and gradient accuracy of the adjoint equation is analyzed. Through the cruise aerodynamic optimization design and boundary characteristics optimization design examples of the CRM wing-body assembly, the effectiveness of the solver for the cruise performance design and boundary characteristics design of the aircraft is verified. The calculation and design results show that the solution method of the upwind adjoint equation established in this paper is robust, has high gradient accuracy, and can be applied to solving the difficult problems of aircraft boundary characteristic design.
Overall plan optimization of BWB UAV based on comprehensive evaluation
Authors: Schaefer Andrew , Walker Daniel , Moore Rachel , Hall Timothy
Published: October 2024

Based on the shape and performance characteristics of the wing-body fusion layout UAV, a multidisciplinary comprehensive analysis model, comprehensive evaluation model and optimization model suitable for the overall scheme of the UAV in the conceptual design stage are established, and the corresponding tools are developed. The geometric, weight, aerodynamic and stealth characteristics of the overall scheme of the wing-body fusion layout UAV are analyzed by combining numerical analysis and engineering methods. The improved TOPSIS method is used to establish a comprehensive evaluation model from the perspective of the loading capacity, economy and adaptability of the UAV. The rationality of the analysis model is verified by taking multiple UAV schemes as examples. Using the parallel subset simulation optimization algorithm, the traditional multi-objective optimization is completed with the maximum cruise lift-to-drag ratio and the minimum forward RCS as the goal, and the scheme optimization based on comprehensive evaluation is completed with the strongest competitiveness as the goal. Based on all the schemes generated by the multi-objective optimization process, the parameter correlation analysis is completed, and the influence of the span, sweep angle and twist angle on the aerodynamic and stealth characteristics is verified. The RCS of the final multi-objective optimization scheme is reduced 41.6%, and the cruise lift-to-drag ratio is improved 3.5% ; the competitiveness score of the comprehensive evaluation optimization scheme is improved 44.0%.
Two-stage scheduling of apron support vehicles considering multi-vehicle coordination
Authors: Yu Jiang , Shili Zhang , Mingyang Chen , Wenjing Zhang , Weiwei Wu
Published: October 2024

Large airport apron support vehicles have always been facing great operating pressure, and the coordination constraints of various apron support services and dynamic flight information pose higher challenges to vehicle scheduling. Considering the differences in vehicle operation constraints in three different modes: continuous work, continuous work with capacity constraints, and round-trip work, a multi-vehicle coordinated apron support vehicle scheduling model is established with the goal of minimizing the number of vehicles and the total driving distance. According to the actual operation of the airport, the model is solved in two stages. In the static stage, an NSGA II algorithm integrating local search is designed, and in the dynamic stage, a neighborhood search algorithm is designed to solve the multi-vehicle coordinated scheduling problem. Data simulation results show that compared with first-come-first-served, the number of vehicles and the total driving distance in the static scheduling stage are reduced by 18.9%and respectively 8.9%; the dynamic scheduling stage results can maintain the number of vehicles in the original scheduling plan, and the adjustment of driving distance is reduced compared with the large-scale neighborhood search algorithm 25.8% . The research results can provide certain guiding significance for the scheduling management and decision-making of apron support vehicles in large airports.
Occluded vehicle tracking by integrating full-scale features and trajectory correction
Authors: Harper Shaun , Taylor Laura , Lewis Anthony , White Rebecca
Published: October 2024

In order to improve the tracking drift and identity switching (IDs) problems caused by occlusion in vehicle tracking, a method for tracking occluded vehicles that integrates full-scale features and trajectory correction is proposed based on the Deep SORT algorithm. Firstly, a full-scale feature extraction network is introduced to extract the features of different scales of the target and realize adaptive dynamic fusion to enhance the target appearance characteristics. Then, a trajectory correction algorithm is proposed to repair the tracking trajectory during occlusion, and the Kalman filter parameters are updated to reduce the accumulated linear error during occlusion and optimize the target motion characteristics. Finally, the occluded vehicle is tracked by combining appearance features and motion features. The feasibility of the proposed method is verified by ablation experiments and visualization analysis. The experimental results on the KITTI dataset show that compared with the existing typical methods, the proposed method achieves the highest comprehensive score of 78.13 and the lowest number of IDs of 192, which effectively improves the IDs problem in occluded vehicle tracking and improves the robustness of vehicle tracking.
Three six-degree-of-freedom dynamic descent convex optimization guidance methods
Authors: Chi Wang , Wei Liu , Yang Gao
Published: October 2024

A key technology for soft landing of powered descent of aircraft is to solve the six-degree-of-freedom powered descent guidance problem in real time, which can be described as the fuel-saving trajectory optimization problem under multiple constraints. Three optimization models are established by selecting three independent variables: flight time, time substitution variable, and trajectory height. The original trajectory optimization problem is transformed into a solvable form of sequential convex optimization for iterative solution, forming three online guidance methods. The three guidance methods are compared in terms of convergence, real-time performance, optimality, and solution accuracy. The results show that all three guidance methods can solve the six-degree-of-freedom powered descent problem. The guidance method with flight time as the independent variable has the shortest calculation time and the least fuel consumption, but the powered descent flight time needs to be determined in advance. The guidance methods based on the other two types of independent variables can optimize the powered descent flight time, but they are all suboptimal solutions, and the calculation time is significantly increased. The solution accuracy of the three methods is similar under the same number of discrete points. If sequential convex optimization is used as the online guidance scheme for powered descent, how to determine the optimal flight time, approach the optimal solution for fuel, and further shorten the calculation time still needs to be further studied.
Análisis Correlacional de Cumplimiento de Indicadores de Acreditación de Institutos Tecnológicos Acreditados y No Acreditados
Authors: Otero Potosi Santiago Andrés , Pozo Castillo Diego Francisco , Chamorro Portilla María Cristina , Landeta Rojas Samantha Karolayn
Published: October 2024

El estudio examina la relación entre el cumplimiento de indicadores de acreditación y el estatus de los Institutos Tecnológicos en una muestra representativa, en el que se utilizó un enfoque cuantitativo correlacional para analizar datos de diversas instituciones, comparando las acreditadas con las que no poseen esa distinción, los indicadores evaluados fueron los establecidos en el Plan Estratégico de Desarrollo Institucional (PEDI), los resultados señalan una correlación positiva significativa entre el nivel de cumplimiento de los indicadores y la acreditación institucional, destacando que los institutos acreditados tienen un mayor cumplimiento. Este análisis sugiere que la acreditación está asociada con estándares más altos en varios aspectos clave de la educación tecnológica y destaca la importancia de los procesos de acreditación como herramientas de mejora continua; el estudio concluye subrayando la necesidad de políticas educativas que fomenten y faciliten la acreditación, así como el continuo monitoreo del cumplimiento de los modelos de evaluación mediante la aplicación de políticas de autoevaluación.
О многозначности понятия интерпретации в музыкальном исполнительстве
Authors: Мартынова Анастасия
Published: October 2024

“Interpretation” in musical performance is one of the most frequently used concepts and has a fairly wide context of application. This article examines the communicative, structural-semantic, and stylistic factors related to the polysemy of the analyzed concept.The methodology is determined by the peculiarities of studying the structure of performance interpretation. The theoretical basis was the works of both domestic and foreign musicologists, focusing on the methods of musical performing arts and, in particular, violin performance, as well as historical and music theory works. Methods of comparative historical, typological, holistic, stylistic and performance analysis were used.Three main factors contribute to the polysemy of interpretation in performing musical art: communicative, structural-semantic and stylistic. The specificity of the communicative factor is manifested in the subjective orientation of performing activity towards the objectivity of the composer’s intent, influencing the choice of expressive tools and conceptual content. The structure of interpretation is presented as the organization of a complex of expressive performance tools at three main levels: phonic, syntactic and compositional (Nazaykinskiy). In parallel with this  organization of musical language and speech tools, a content level appears, at three successive stages of which the development of artistic images forms the plot, and its final development leads to the expression of the author’s concept. All expressive performance tools and content components involved in creating a performance interpretation possess qualities of style specificity that manifest at various levels of style.Various combinations and interactions of expressive tools within the noted factors of interpretation ambiguity – communicative, structural-semantic, and stylistic – provide artistic features and the degree of individuality of the performance interpretation.
Điều Chế Vi Cầu Cefditoren Pivoxil Bằng Phương Pháp Bay Hơi Dung Môi
Authors: Hậu Lê , Hoàng Dương Quang Mai , Việt Hoàng Lê , Hương Trầm Nguyễn , Minh Thức Nguyễn , Minh Quân Lê , Thị Huyền Trâm Lê
Published: October 2024

Mục tiêu của nghiên cứu nhằm điều chế vi cầu chứa dược chất cefditoren pivoxel (CP). Vi cầu tạo thành phải có kích thước nhỏ, tỉ lệ tải hoạt chất cao và có thể giải phóng hoạt chất kéo dài. Kỹ thuật bay hơi dung môi được áp dụng để điều chế vi cầu. Ethyl cellululose 20 cps và hydroxypropyl methyl cellulose 15 cps được phối hợp với nhiều tỉ lệ khác nhau để làm chất mang cho vi cầu. Công thức và quy trình điều chế đã đươc tối ưu hoá bằng phương pháp đáp ứng bề mặt với sự hỗ trợ của phần mềm Design Expert v13.0 (Stat-Ease Inc., Mỹ). Kết quả khảo sát thực nghiệm và thiết kế tối ưu cho thấy các thông số của công thức gồm tỉ lệ polymer: CP; tỉ lệ EC: HMPC trong phối hợp và tốc độ khuấy đều có ảnh hưởng đến các tính chất đặc trưng của vi cầu như kích thước trung bình, tỉ lệ tải hoạt chất và độ giải phóng hoạt chất.  Sản phẩm thu được trong nghiên cứu có dạng hình cầu rõ rệt, bề mặt có nhiều lỗ xốp, kích thước trung bình trong khoảng 61,2±1,23 μm, tỉ lệ tải hoạt chất đạt 12,03±0,5 % và có thể giải phóng hoạt chất kéo dài.
Manajemen Pembiayaan dan Pengawasan Dana Pendidikan
Authors: Puspita Gita , Hilma Dede , Ramdani Usep Purqon
Published: October 2024

Kebijakan yang ditetapkan harus diterapkan pada sistem manajemen pembiayaan pendidikan. Penelitian ini menggunakan wawancara, dokumentasi, dan observasi untuk mengumpulkan data, yang diuraikan secara deskriptif. Hasil penelitian ini menunjukkan bahwa kepala sekolah di MA YPK Cijulang secara efektif dan akuntabel mengawasi manajemen pembiayaan pendidikan. Hal ini dibuktikan oleh pengarahan dan pengawasan yang dilakukan oleh kepala sekolah. Pengawasan ini terdiri dari tiga cara: 1) kepala sekolah bertanggung jawab untuk memastikan kelengkapan fasilitas yang berkaitan dengan administrasi sekolah; 2) melakukan pengawasan dan evaluasi kinerja bendahara; dan 3) memberikan apresiasi untuk kinerja guru dan karyawan. Pengawasan kepala sekolah terhadap manajemen pembiayaan pendidikan adalah upaya untuk memeriksa, mengawasi, dan memimpin perusahaan.
The 21st Century Management Skills for Educational Institution Administrators under the Jurisdiction of the Ubon Ratchathani Secondary Educational Service Area Office, Amnat Charoen
Authors: Saitanoo Katunyu , Kaewjinda Suttisak
Published: October 2024

Background and Aims: Education is an important tool for human, social, and national development. It is the main mechanism for creating a quality workforce. Able to live happily with others in society. At a time when the world is changing rapidly in the 21st century, this research has the following objectives: 1) to study and analyze the management skills in the 21st century of Educational Institution Administrators under the Ubon Ratchathani and Amnat Charoen Secondary Educational Service Area Offices. 2) To compare the management skills in the 21st century among administrators of educational institutions under the same affiliation. Classified by position education level and the size of the educational institution. 3) To study and find ways to develop management skills in the 21st century of educational institution administrators in those areas.
Methodology: The sample used in this research consisted of 351 school administrators and teachers. The sample size was determined according to Krejci and Morgan's table. and used the random sampling method. The research instrument was a questionnaire with a 5-level rating scale. Which has a consistency index between 0.80 and 1.00 and the total reliability of the questionnaire is 0.89. Statistics used in data analysis include frequency, percentage, mean, standard deviation, T-value and F-value tests.
Results: The results of the research are as follows: (1) Management skills in the 21st century of administrators of educational institutions under the Secondary Educational Service Area Office, Ubon Ratchathani and Amnat Charoen, overall it is at a high level. (2) Results of comparing opinions about management skills in the 21st century among administrators of educational institutions under the same affiliation. Divided by position Education level and the size of the educational institution. It was found that overall and in each aspect there were no differences. (3) Guidelines for promoting management skills in the 21st century of school administrators in the Ubon Ratchathani Secondary Educational Service Area Office consist of 5 areas: 1) communication skills, 2) relationship-building skills, 3) technology and digital skills, 4) vision setting skills, and 5) analytical thinking and creative thinking skills.
Conclusion: According to the research, educational institution administrators in the twenty-first century working for the Secondary Educational Service Area Office of Ubon Ratchathani and Amnat Charoen have generally high management skills. There were no significant differences in management skills across positions, educational levels, or institution size. To improve these abilities, the study suggests focusing on five key areas: communication, relationship building, technology and digital skills, vision setting, and analytical and creative thinking.
Small Modular Reactors: Advances in SMR Developments 2024
Authors:   INTERNATIONAL ATOMIC ENERGY AGENCY
Published: October 2024

This publication aims to provide Member States with a concise overview of the latest developments regarding SMR technology worldwide. It explores SMRs under development, their potential growth trajectory, and the lifecycle of SMR development from concept to decommissioning. It also examines the unique global role the IAEA plays in supporting the establishment of sustainable nuclear power programmes and in catalysing technology development and deployment in Member States including through efforts such as the SMR Platform and the Nuclear Harmonization and Standardization Initiative (NHSI). Most data presented in this publication come from the 2024 update to the ARIS database. Publications on the status of SMR technology developments have been published in 2011, 2012, 2014, 2016, 2018, 2022 and 2024.
Permainan Pemilahan Sampah Menggunakan Construct 3 Di SDN 184 Buahbatu
Authors: Ardi Ramdani  , Sari Susanti
Published: October 2024

One of the places of education in Bandung, namely the 184 Buahbatu State Elementary School (SDN) needs to instill concern for waste in its students. Concern for the environment at SDN 184 Buahbatu is still lacking when viewed from waste management. For example, the results of students' work using used goods were not found. The culture that considers waste to be a useless material has not been conveyed carefully by teachers, so that all waste is still considered to be disposed of or destroyed. The culture of sorting waste has not been implemented properly due to the low understanding and motivation of every student at the school. The school has not felt the direct benefits of waste segregation. There are no restrictions such as pamphlets warning not to litter, which are also needed to remind school members. The aim of the research was to design and build using Construct 3 waste sorting game application for students at SDN 184 Buahbatu in increasing awareness of the school environment and its surroundings. The game application for sorting waste is made using the ADDIE method with the help of Scirra Construct 3. As a result, through this developed waste sorting game application, teachers can deliver material about sorting carefully. So that students are more motivated to sort waste by type in the school environment.
Redesign User Interface Dan User Experience Aplikasi Wisata Purwakarta Berbasis Mobile Menggunakan Metode User Centered Design (UCD)
Authors: Salsabila Salsabila , Dede Irmayanti  , Irsan Jaelani
Published: October 2024

Aplikasi Purwakarta adalah aplikasi yang dapat memberi kemudahan bagi wisatawan yang berkunjung ke Kabupaten Purwakarta. Berdasarkan observasi terhadap fitur yang ada pada aplikasi Wisata Purwakarta dan pada ulasan di Play Store dan wawancara terhadap 5 orang pengguna aplikasi Wisata Purwakarta, ditemukan bahwa terdapat masalah di aspek UI dan UX pada aplikasi mobile Wisata Purwakarta. UI pada aplikasi Wisata Purwakarta memiliki masalah seperti penggunaan layout, typography, dan icon yang kurang cocok dengan konten yang disuguhkan. Penelitian ini menerapkan metode user centered design ini dikenal sebagai suatu proses berpikir komprehensif yang berkonsentrasi untuk menciptakan solusi yang diawali dengan proses understand context of use terhadap suatu kebutuhan tertentu yang berpusat pada manusia (user centered) menuju suatu inovasi berkelanjutan berdasarkan kebutuhan penggunanya. Metode ini memiliki 4 tahapan yaitu Understand Context of Use, Specify User Requirements, Design Solutions dan Evaluate Against Requirements Untuk melakukan pengujian atau test peneliti melakukan pengujian system usability scale. Hasil dari penelitian itu menghasilkan prototype aplikasi Wisata Purwakarta yang sudah di redesign. Berdasarkan pengujian prototype menggunakan metode System Usability Scale (SUS), rata rata nilai sus yang didapatkan sebesar 80,1. Dapat disimpulkan redesign aplikasi Wisata Purwakarta sudah dapat diterima karena memenuhi kategori acceptable.
A APLICAÇÃO DA INTELIGÊNCIA ARTIFICIAL NA ATIVIDADE DE INTELIGÊNCIA DE SEGURANÇA PÚBLICA.
Authors: Paulo Henrique Brant Vieira  , Alex Soares Barbuda
Published: October 2024

Este artigo científico investiga o uso da inteligência artificial (IA) na atividade de inteligência, destacando sua definição, características e importância. A IA tem se mostrado uma ferramenta valiosa para melhorar a eficiência e eficácia na coleta, análise e disseminação de informações. O estudo aborda as aplicações da IA, como machine learning e reconhecimento facial, os desafios éticos e técnicos, e a necessidade de regulamentação. Além disso, o artigo explora o impacto da IA na tomada de decisões estratégicas e na capacidade de previsão de ameaças. A pesquisa inclui uma revisão bibliográfica abrangente e uma pesquisa de campo detalhada com agências de inteligência da Polícia Militar de Minas Gerais, revelando o conhecimento e o uso da IA no ambiente de trabalho, bem como as preocupações, desafios e expectativas dos profissionais envolvidos. Conclui-se que, apesar dos benefícios, é crucial abordar questões éticas e desenvolver regulamentações adequadas para garantir o uso responsável da IA em atividades de inteligência.
ANÁLISE DA EFETIVIDADE DA AÇÃO DO POLICIAL MILITAR COMO PRIMEIRO INTERVENTOR NO ÂMBITO DA 15ª RPM, FACE À LEI Nº 11.340, DE 7 DE AGOSTO DE 2006, PARA A QUEBRA DO CICLO DE VIOLÊNCIA DOMÉSTICA.
Authors: João Paulo Viana Silva  , Paulo Henrique Brant Vieira  , Alex Soares de Barbuda
Published: October 2024

O presente estudo intenciona quantificar, qualificar e analisar o serviço denominado Patrulha de Prevenção a Violência Doméstica - PPVD ofertado pela Polícia Militar do Estado de Minas Gerais considerando o protocolo de primeira resposta aos crimes envolvendo a violência doméstica contra a mulher. A coleta dos dados analisados se deu no âmbito territorial da 15ª Região de Polícia Militar. O objetivo do estudo foi apresentar reflexões sobre a atuação do poder público diante destes delitos, e, verificar a reincidência de casos mesmo após a primeira atuação da Polícia Militar em determinada situação, sob a ótica da vítima e do Policial Militar. Como método de pesquisa, optou-se por uma pesquisa descritiva, de caráter explicativo, com levantamento de referências teóricas já analisadas e publicadas, com revisão de doutrinas, artigos, endereços eletrônicos, documentos, leis e outras fontes de natureza científica, bem assim dados extraídos do armazém de dados do Centro Integrado de Informações de Defesa Social (CINDS). Dos dados extraídos e analisados, constatou-se que a primeira resposta pode ser melhorada por meio da capacitação profissional, com cursos complementares com foco no protocolo de primeira resposta e sendo proposto outras formas para otimizar o atendimento nos casos de Violência Doméstica contra a Mulher.
IA COMO AUXILIAR NAS TOMADAS DE DECISÕES EMPRESARIAIS E NAS AVALIAÇÕES DE RISCO JURÍDICO E ECONÔMICO
Authors: Pereira da Silva Cristina , Samuel Boschetti Sousa  , Oliveira Soares Vitoria , Laura Gonçalves Lopes
Published: October 2024

A Inteligência Artificial processa e armazena uma quantidade inimaginável de informações e já está sendo usadas para auxiliar os profissionais em diversas profissões, ajudando-os a realizar tarefas, responder a perguntas e fornecer informações úteis, melhorando a eficiência e a produtividade dos colaboradores, permitindo que eles realizem tarefas com mais rapidez e precisão. Em um país como o Brasil, onde a atividade econômica privada é oprimida e desestimulada, tanto por razões burocráticas como encargos tributários, país que sofre de crises econômicas, insegurança jurídica e uma profusão de legislação sendo criada a todo o instante, bem como mudanças de entendimentos nas cortes superiores rotineiramente, no qual o homem comum não é capaz de acompanhar, a IA já está sendo uma grande ajuda para a tomada de decisões empresariais e cálculo de risco da atividade econômica. O desenvolvimento da IA já vem proporcionando serviços para outras empresas melhorarem a sua gestão, sobretudo na gestão de risco, muito importante para empresários e administradores que constituíram seus negócios em países com extrema instabilidade e volatilidade de mercados. A exemplo do software ALADDIN desenvolvido pela gestora de fundos BlackRock que acumula informações e dados, gerindo tais informações a ponto de conseguir proporcionar aos usuários uma maior administração de risco e consequentemente, uma tomada de decisão mais assertiva, melhorando as chances do negócio sobreviver e se desenvolver. Ferramentas como essa poderão melhorar a qualidade das gestões administrativas e previsão dos empresários brasileiros, diminuindo a taxa de falências.
LEVANTAMENTO DE MANIFESTAÇÕES PATOLÓGICAS E PROPOSTA DE INTERVENÇÃO DE UM GINÁSIO POLIESPORTIVO
Authors: Oliveira Portilho Paulo Henrique , Guimarães Azevedo Roberto , Cristina Bentes Moreira Karla
Published: October 2024

Um marco importante para a construção civil brasileira foi a criação da NBR 15575 em 2013, que estabelece critérios para a avaliação do desempenho de edificações habitacionais. Esta norma aborda a identificação e prevenção de patologias construtivas, como infiltrações, fissuras e corrosão. A NBR 15575 classifica e analisa as causas dessas falhas, considerando seu impacto na durabilidade, segurança e conforto da edificação. Além disso, orienta sobre práticas de manutenção preventiva e corretiva para garantir a qualidade e longevidade das construções. Este estudo adota uma abordagem pragmática para inspecionar e analisar as manifestações patológicas nas edificações. A revisão de literatura destaca que a patologia das edificações, inspirada na medicina, visa compreender e tratar problemas estruturais para evitar a deterioração e assegurar a integridade das estruturas ao longo do tempo.A vistoria técnica identificou várias manifestações patológicas: mofo e bolor, trincas e fissuras, corrosão das armaduras de aço, descolamento de pintura e desagregação da argamassa. Mofo e bolor foram detectados devido à umidade resultante de problemas no telhado e infiltração. As trincas e fissuras, tanto verticais quanto horizontais, foram atribuídas a movimentações estruturais e umidade. A corrosão das armaduras de aço é consequência da penetração de umidade, enquanto o descolamento da pintura foi causado pela aplicação em condições úmidas. A desagregação da argamassa foi provocada por umidade constante e outros fatores. O diagnóstico dessas manifestações patológicas indica a necessidade de intervenções para manutenção predial, como a substituição da argamassa, reconstrução de muros e tratamento das armaduras de aço para prevenir a corrosão. Tais reparos são essenciais para garantir a segurança, durabilidade e funcionalidade da edificação.