bluuebunny/crossref_metadata_2025 huggingface dataset:
Identifying Language Learning Strategies of Secondary School Students in Learning English as a Foreign Language
Authors: Sigit Aprisama
Published: November 2024

Knowing students’ language learning strategies is very important in teaching a foreign language. The purpose of this study is to identify language learning strategies used by secondary school students in learning English as a foreign language. The participants of this study were 31 secondary school students in Singkawang. The questionnaires developed by Gursoy (2013) were used as the instrument of data collection in this study. The questionnaires consist of four factors in learning a foreign language, i.e., cognitive and metacognitive strategies and two social-languages, strategies to improve language learning, strategies of facilitation of the reception and production of the target language, and strategies for the consolidation of the target language. Overall, the result of the study shows that the students have strong strategies to study English as a foreign language. By knowing students’ strategies in learning a language is very important to teachers because it can give much information to the teachers for planning their teaching.
Keyword: language learning strategies, foreign language, secondary school, students
Swear Words In Comment Column Of X Application About The 2024 Presidential Election In Indonesia
Authors: Ketut Budi Aryani
Published: November 2024

Language is very important for every people because by using language people can communicate with each other in daily life. There are a lot studies that discuss language, one of them is swear word. Swear words are one of the language phenomena found in society. Swear words were also found in the utterances uttered by social media users. This research is qualitative descriptive research. Data was taken from comments from posts that exposed the 2024 presidential election. The data collection method used observation. The instruments for this research are the researcher, smartphone and observation sheet. The results of the study show that religion swear words were found 4 number occurrences with a percentage of 7.54%, excrement swear words were 5 with a percentage of 9.43%, 10 animal swear words were found with a percentage of 18.87%, 20 swear words for Mental Illness were found with a percentage of 37.73%, sex swear words and personal background had the same number occurrence, namely 7 with a percentage of 13.20% so that overall there were 53 swear words found. Future, researchers are advised to research swear words in other applications to get to know more about the swear words spoken by social media users on social media.
The Relationship Between Students’ Anxiety Level And English-Speaking Competency In Eleventh-Grade Student Of Sma Negeri 1 Singaraja
Authors: Ketut Ivan Yuda Aditya  , Wahyuni Luh Gede Eka , Mahendrayana Gede
Published: November 2024

This research investigates the connection between anxiety and English-speaking proficiency among eleventh-grade students at SMA N 1 Singaraja. The objectives of the study are to (1) ascertain the presence of a correlation between the students' anxiety levels and their English-speaking abilities, (2) identify the direction of this correlation, and (3) assess the strength of the correlation between these variables. Employing a correlational design, the study sampled 114 eleventh-grade students through simple random sampling to ensure a balanced representation across the school's three departments. A simple correlation method was used to analyze the data. The findings indicate a significant correlation between students' anxiety levels and their English-speaking competence, with a p-value of .000, which is below the standard significance level of 0.05. The correlation coefficient of -0.378 indicates a low but negative relationship between the variables. Practically, this means that as students' anxiety decreases, their English-speaking competence improves. These results underscore the importance of addressing anxiety in educational settings to enhance students' language performance potentially. Understanding the nature and impact of this relationship can help educators better support students in developing their English-speaking skills.
Exploration Of Students' and Lecturers' Perceptions Towards the Utilization of Generative Artificial Intelligence
Authors: Pitra Satya Purnama Ardian , Putra Tomy Kartika , Arifin Adip , Azizah Shofie
Published: November 2024

The development of artificial intelligence (AI) tools such as Perplexity AI has been shown to improve self-confidence, academic achievement, and motivation to learn. This study aims to determine the understanding, benefits, challenges, and application of generative AI (GenAI) in education. Mixed research methods were used, with surveys and interviews involving students from Jenderal Soedirman University and Widya Mandala University. Results showed that most students understood and recognized the benefits of Perplexity AI in lectures, despite concerns over ethics, human interaction, and technology management. The implications of this study emphasize the importance of in-depth learning about the principles and ethics of AI use as well as the need for clear standards to ensure the responsible use of AI in education.
Analysis of Students’ Perception of Virtual English Learning: A case Study of MyBest LMS Implementation
Authors: Amelia Mike , Putri Erito Silvia Nanda , Ayumida Surtika
Published: November 2024

This study aims to analyze students' perceptions of the implementation of MyBest LMS in virtual English learning. The analysis uses Technology Acceptance Model (TAM). In the context of English learning in the Information Systems study program at Bina Sarana Informatika University, E-Learning has become an increasingly important tool to facilitate the lecture process. Through the LMS platform commonly referred to as MyBest, students can access learning materials, assignments, discussions, and evaluations online, without being limited by time and space. However, success in its implementation is not only determined by the sophistication of the technology used, but also by the user's perception of the platform. In this context, students' perception towards E-Learning has an important role in determining the effectiveness and acceptance of the technology in the learning process, especially in English learning which is one of the courses conducted virtually at UBSI. This research uses descriptive method by using observation, questionnaire and interview collected from 40 Information System students of Bina Sarana Informatika University who were selected from cluster random sampling technique.
Boolean Logic Operations Based on Four-Terminal Magnetic Tunnel Junction for Computing in Memory
Authors: Jin Hui , Liu Sijia , Xu Xiaoyang , Chen Siyu , Li Jiaqing , Wang Zhaohao , Zhang Youguang , Wang Bi
Published: November 2024

The Von Neumann architecture urgently needs to overcome the bottleneck of the storage wall issue, which can be effectively addressed by the emerging Magnetic Random Access Memory (MRAM) due to its high speed, non-volatility, low power consumption, high integration, durability, and compatibility with CMOS. This makes magnetic storage an optimal solution for overcoming the bottleneck of the Von Neumann architecture. However, pure magnetic storage devices for storage and computation are not yet available. Therefore, the optimization of novel MRAM structures has become a new choice for future computing in memory. This paper proposes a four-terminal magnetic tunnel junction (MTJ) device structure basic principle of Spin-Orbit Torque (SOT), which has multi-bit and capable of performing logical operations such as AND, OR, and XOR with ultra-high computational efficiency. The proposed device structure is verified to perform Boolean logic operations in one cycle by Cadence simulation, which providing a new method for in-memory computing in our solution.
Analysis of the Influence of Blade Tip Reversal Angle on Helicopter Vibration
Authors: Sun Fengnan , Xing Longtao , Yuan Gaofei , Zhu Yan , Feng Zhizhuang
Published: November 2024

This paper establishes a rotor/fuselage coupling dynamic model for the inverted configuration of the blade tip. Based on the full-size BO-105 rotor blade, the changes in the heading, lateral, and vertical vibration loads of the hub and the vibration characteristics of the fuselage within the range of 0–20 ° of the inverted blade tip were analyzed. The research shows that the inverted blade tip changes the total pitch, periodic pitch, and fuselage pitch angle. The inverted blade tip at a small angle does not significantly affect the hub vibration load and fuselage vibration, while the inverted blade tip at a larger angle will increase the high-order harmonic vibration loads of the hub heading, lateral, and vertical, thereby causing an increase in fuselage vibration.
Optimal Hybrid Reinsurance Strategy Based on the Classic Model of Minimizing Ruin Risk
Authors: Liu Zhang , Zhu Xu , Shen Sijia , Chen Ziyun
Published: November 2024

The optimization problem in reinsurance risk theory is one of the hot issues that has attracted wide attention in the academic and financial circles. In order to study the optimal reinsurance strategy that can minimize the risk of bankruptcy under the classical risk model, this paper establishes a hybrid reinsurance model of proportional reinsurance and excess loss reinsurance based on the variance premium principle, calculates the mathematical expectation and variance of the pure operating profit process, and establishes the Lagrange function using the mean-variance criterion, solves the equations that satisfy the optimal proportional coefficient and the optimal retention, and uses specific examples to illustrate the practical application of the hybrid reinsurance model.
Mulberry Leaf Picking Device Design and Motion Simulation
Authors: Deng Yingfu , Wang Bo , Ding Yongyang , Wang Licheng , Li Zhijun , Zhong Jincheng , Chen Mengji , Lu Peng , Zhou Zupeng
Published: November 2024

In recent years, with the development of the silkworm industry, the scale of silkworm breeding is increasing, and the mechanized picking of mulberry leaves has become an inevitable trend of development. Based on the research of various existing picking machines, this paper proposes and designs a comb-brush mulberry leaf picking device. According to the morphological parameters of the tree, the spacing between planting rows and the picking requirements, the design parameters of the mulberry leaf picking device are determined. The three-dimensional modeling and design of mulberry leaf picking device are carried out by three-dimensional software, and the static analysis of key parts is carried out. The results show that the maximum stress of the drum and brush bar is 0.363 Mpa, and the maximum deformation is 0.0074 mm. The analysis results meet the requirements. The three-dimensional model is imported into the motion simulation software ADAMS. The analysis shows that the travel speed of the machine is 250 mm/s, the rotation speed of the drum is 130 r/min, and the effective picking range is about 850 mm. This design provides a certain reference for the development of mulberry leaf picking device.
Development and Optimization of a Tractor-Mounted Boring Mechanism for Efficient Fertilizer Application in Rubber Plantations
Authors: Kathapant Mongkol , Sengdang Yongyuth , Phasinam Khongdet , Junyusen Payungsak
Published: November 2024

The goal of this research is to develop, fabricate, and test a boring mechanism for a tractor that will be used to fertilize rubber plants. By designing and analyzing the mechanism, it was found that the mechanism consisted of a cone-type dibble, slider-cranks mechanism, and Geneva mechanism. The weight of the cone-type dibble was 64.50 N. The maximum stress of the slider-crank was 10.56 N/mm2. The displacement was 0.27 mm. The entire mechanism was tested in the Agricultural engineering laboratory’s soil bin. The soil consisted of sand (74%), silt (12%), and clay (14%). The mechanism could move at six different speeds: 0.10, 0.12, 0.14, 0.16, 0.18, and 0.20 m/s, respectively. At each of the four soil moisture levels, each speed was evaluated: 9%, 12%, 17%, and 25%, respectively. According to the test results, it was found that the mechanism had a good performance at a speed of 0.18 m/s with a soil moisture content of 12%. The respective efficiencies were 96.51% and 98.51%.
Big Data Technology Major Based on the OBE+ADDIE Model Digital Resource Construction
Authors: Li Jing , Xu Yanan
Published: November 2024

In order to implement the training plan for on-site engineers in the field of big data technology in higher vocational education. With the development of artificial intelligence technology, big data technology, cloud computing technology, etc., exploring the construction of digital resources for big data technology majors is helpful for the training of on-site engineers. The article takes the construction of artificial intelligence courses as an example to explore the construction and application strategies of digital teaching resources for big data technology majors. This article mainly elaborates on the development of a talent training plan for big data technology majors under the OBE framework, combined with the ADDIE model to optimize the development and implementation of digital resources. Through digital resource platforms, a new model of personalized talent cultivation can be achieved, the teaching process can be optimized, teaching and learning outcomes can be improved, and educational evaluation methods can also be enriched.
Design of Attitude Control Law for Coaxial Helicopter Based on Active Disturbance Rejection Control
Authors: Liu Minghao
Published: November 2024

In this paper, a coaxial twin rotor unmanned helicopter is taken as the research object to study the anti disturbance problem during the homing approach and landing phases of unmanned aerial vehicles. In order to improve the anti disturbance performance of coaxial helicopters against external disturbances, an active disturbance rejection controller (ADRC) is selected to design the attitude control law for coaxial helicopters in the marine landing environment. An improved particle swarm optimization algorithm was designed to optimize the parameters of the active disturbance rejection control law. The simulation results show that the improved particle swarm optimization algorithm can significantly improve the parameter tuning speed and accuracy; The auto disturbance rejection control law with optimized parameters has good dynamic response and robustness in strong interference environments.
Quantification of Necrosis Cells in Heart Disease Diagnosis Using Image Processing
Authors: Poddar Harshit , Rajagopal Sivakumar , Saini Aarushi , Hemalatha K
Published: November 2024

This study presents an inventive software application that has been developed in the LABVIEW and MATLAB environments to effectively identify hypertension and various heart irregularities, which include Sinus Bradycardia, Sinus Tachycardia, Supraventricular Tachycardia (SVT) Abnormal, Arrhythmia, and Atrial Flutter. By utilizing advanced algorithms for image processing, such as image enhancement, thresholding, mathematical morphology, and labelling, the software offers accurate identification of neurosis cells. Given the significant contribution of hypertension and heart diseases to the global health burden, with high blood pressure accounting for 54% of strokes and 47% of heart-related issues, the early and rapid detection of necrosis cells becomes imperative for improved treatment outcomes. This research provides a robust software tool that outperforms conventional methods, offering a more accurate, efficient, and accessible means of self-testing for individuals. This contribution aims to facilitate timely medical interventions and enhance health outcomes, thereby addressing the critical need for advanced diagnostic tools in cardiovascular health.
Prediction of Fatty Acid Changes in Corn Under Different Storage Conditions Based on SAMformer
Authors: Zuo Min , Cui Jingyi , Zhang Qingchuan , Dong Wei
Published: November 2024

Corn is one of the three major staple crops in our country, with an annual production of up to 500 million tons, which is of great significance for ensuring national food security. During storage, the quality of corn gradually deteriorates over time, and the rate of deterioration is easily affected by its initial moisture content and storage temperature. It is necessary to measure the fatty acid value during the corn storage process to determine the state of the corn and better adjust the storage strategy. This study focuses on the corn storage situation in the Central China region. By analyzing the monitoring data during the storage process of corn in this region, we attempt to reveal the impact of different storage conditions on the fatty acid content of corn. This research uses time, moisture content, and temperature as independent variables, and fatty acid as the dependent variable. Based on the SAMformer model, a predictive model for corn quality change has been constructed. This model demonstrates the highest accuracy and minimal errors in predicting quality changes throughout the storage of corn. Consequently, this paper furnishes both model and data support for corn storage and presents an effective reference for regulating storage conditions.
Application of the Markov Chain Monte Carlo Method Based on Bayesian Inference
Authors: Zhou Yujie , Chen Yiwei
Published: November 2024

This paper examines the substantial influence of agricultural price fluctuations on farming and societal sectors in the form of application cases. It specifically applies the Markov Chain Monte Carlo method for Bayesian inference, utilizing this statistical tool to estimate and analyse parameters of complex probability distributions, a particularly useful approach for complex models and data. The study’s multi-dimensional, diverse, and time-dependent nature aids in understanding the genesis and variation in agricultural price fluctuation mechanisms. This enhanced understanding offers robust insights into agricultural market conditions and trends, offering crucial support for policy decisions and market predictions.
The Specific Application of Gravity Model in Economics
Authors: Ying Kai , Chen Yiwei
Published: November 2024

Based on the classic framework of the trade gravity model, this paper expands and deepens the model, especially taking into account the policy variables of the “the Belt and Road” and the direct investment variables, and makes an empirical analysis. The purpose of this extended model is to more comprehensively explore and analyze the impact mechanism of these variables on bilateral trade between China and ASEAN under the “the Belt and Road” framework. Based on the conclusion, suggestions are proposed for the specific application of gravity models in economics.
Dynamic Pricing and Coordination of Telecom Supply Chain Based on Stackelberg Model Under Mobile Terminal Customization
Authors: Wang Dafei , Zhou Xueyan , Ren Tinghai , Kou Yan
Published: November 2024

In the context of mobile terminal customization, this study develops a Stackelberg model for a telecom supply chain (TSC) that includes a handset manufacturer, a telecom operator, and strategic consumers. The model is analyzed under both integrated and decentralized scenarios, focusing on dynamic pricing, demand over two cycles, and corresponding profits. The study identifies the reasons for the TSC’s performance loss and proposes a revenue sharing contract mechanism to achieve coordination within the TSC. The findings indicate that an increase in the proportion of communication service utility (PCSU) leads to a higher wholesale price and lower retail prices, which is advantageous for the handset manufacturer but may not be beneficial for the telecom operator. In the decentralized scenario, the first cycle demand remains unchanged, yet the first cycle profit is higher, and the overall two cycles profit is lower compared to the integrated scenario. Enhancing PCSU can mitigate strategic consumer behavior, but it also exacerbates the gap between supply chain profits in two scenarios. Under certain conditions, the revenue sharing contract can achieve perfect coordination within the TSC.
Tackling Visual Redundancy in Multi-Modal Sentiment Analysis with Salient-Driven Image Pre-Processing
Authors: Zhang Yu , Zhao Zhenjie , Lu Haojie , Xiao Lifei , Liu Yifan
Published: November 2024

With the form of posts shifting from pure text into multi-modality, more and more researchers turn to the sentiment analysis of multi-modal posts. We focus on analyzing the sentiment of posts composed of text and images. In this task, images provide abundant information for accurate analysis but also produce redundant information. Previous works have tried to address the visual redundancy problem caused by modal heterogeneity, but they often overlook the fact that redundant visual elements can pollute the effective information during the encoding process. To alleviate this issue, in this paper, we propose a novel multi-modal sentiment analysis method, including a Salient-driven Image Pre-processing module (SIP) and a Data Augmentation based Self-supervised learning module (DAS). The SIP module will retain the most salient parts of the image during the pre-processing stage, emphasizing the visual information related to events and topics. The introduction of this module mitigates the challenges such as feature redundancy and feature pollution in the image encoding process. The DAS module enhances the robustness of the model by modelling the raw data and the augmented data of a single sample. Our method is tested on three public benchmarks including MVSA-single, MVSA-multiple and HFM. The results demonstrate the competitiveness of our method against previous approaches by achieving state-of-the-art accuracy on MVSA-single and MVSA-multiple.
Jointly Model-Level and Task-Level Learning for Semi-Supervised Medical Image Segmentation with Low Sample Size
Authors: Xu Bin , Zhao Zhenjie
Published: November 2024

Segmenting medical images automatically plays a vital role in intelligent healthcare systems. Existing methods for medical image segmentation usually rely on deep learning approaches, which require lots of labeled samples. This makes them less practical in scenarios where labeling is expensive or time-consuming. Semi-supervised learning, which leverages unlabeled data, is therefore practical to investigate. In this paper, we further consider semi-supervised medical image segmentation under low sample size conditions. We propose to learn jointly on both the model level and the task level, and through the use of two levels of supervision, the model can learn good segmentation results with even smaller sample sizes than previous semi-supervised learning methods. On the publicly available atrial segmentation challenge dataset, our method outperforms state-of-the-art methods under low sample size conditions, which indicates the superiority of our method for low sample size medical image segmentation.
Low-Power VLSI Adiabatic Circuits for Bio-Medical Application
Authors: Ram Akarsha , Aakash M  , Sivakumar R  , K Hemalatha
Published: November 2024

The paper reviews the application of VLSI in Bio-Medical electronics. It highlights the development of VLSI in micro-electronics such as pacemakers. The concept of VLSI is combined with the advantages of Adiabatic Circuits to develop a power-efficient method for Pacemakers. Basic measurements such as Power consumption, Drive Current and Area of the circuit are tracked. A schematic for reducing the power required to drive the circuit to the stability of a system using Adiabatic Logic is proposed. For this purpose, a simulation is performed highlighting the efficiency of the circuit. Further efficiency improvements for future models and schematics are outlined
In vivo imaging of vascular gene delivery/expression: Current	status
Authors: Du Xiangying , Yang Xiaoming
Published: November 2024

Vascular gene therapy is a potential promising treatment for atherosclerotic disease. Imaging of vascular gene therapy is essential for the assessment of the success of the therapeutic strategy. Several imaging techniques, including MRI, ultrasound, and optical imaging, have been evaluated to monitor, enhance, and track vascular gene delivery, transfection/transduction, and expression. This review summarizes the current status of applying these techniques in the imaging of vascular gene therapy.
Determination of calibration parameters of a VRX CT system using	an "Amoeba" algorithm
Authors: Jordan Lawrence M. , DiBianca Frank A. , Melnyk Roman , Choudhary Apoorva , Shukla Hemant , Laughter Joseph , Gaber M. Waleed
Published: November 2024

Efforts to improve the spatial resolution of CT scanners have focused mainly on reducing the source and detector element sizes, ignoring losses from the size of the secondary-ionization charge "clouds" created by the detected x-ray photons, i.e., the "physics limit." This paper focuses on implementing a technique called "projective compression," which allows further reduction in effective cell size while overcoming the physics limit as well. Projective compression signifies detector geometries in which the apparent cell size is smaller than the physical cell size, allowing large resolution boosts. A realization of this technique has been developed with a dual-arm "variable-resolution x-ray" (VRX) detector. Accurate values of the geometrical parameters are needed to convert VRX outputs to formats ready for optimal image reconstruction by standard CT techniques. The required calibrating data are obtained by scanning a rotating pin and fitting a theoretical parametric curve (using a multi-parameter minimization algorithm) to the resulting pin sinogram. Excellent fits are obtained for both detector-arm sections with an average (maximum) fit deviation of ∼0.05 (0.1) detector cell width. Fit convergence and sensitivity to starting conditions are considered. Pre- and post-optimization reconstructions of the alignment pin and a biological subject reconstruction after calibration are shown.
Radiation dose in rodent tissues during micro-CT imaging
Authors: Obenaus André , Smith Anna
Published: November 2024

The use of non-invasive imaging modalities, including micro X-ray computed tomography (micro-CT), is starting to be used extensively to investigate normal and pathological states in a variety of animal models. This increased use of in vivo imaging requires a better understanding of the radiation dose delivered during routine imaging. Our laboratory is equipped with a micro X-ray computer tomography unit (MicroCAT II®, ImTek Inc., Knoxville, TN) with a 60 kVp X-ray source and a reconstruction volume resolution as low as 15 microns that is used for proton radiation therapy treatment planning. In order to determine the X-ray radiation dose delivered to skin and internal organs by our micro-CT we implanted new, calibrated Harshaw TLD-100 Lithium Fluoride thermo-luminescent detectors (TLDs), into five C57BL/6 male mice and ten Sprague-Dawley male rats. Implants were made into the brain, heart, right lung, liver, stomach, cecum, bladder, dorsal thoracal skin and ventral abdominal skin in each animal. Animals were each scanned once using 50 kVp at 800 μA with 360 projections per scan with each projection lasting 400 msec. Using the TLD readings, the radiation dose from each body location was measured with the dorsal thoracal skin receiving the highest average dose (4.5 cGy, mouse; 2.8 cGy, rat) and other internal organs receiving significantly lower average doses. Therefore, knowing the radiation doses delivered during routine imaging, care can be taken to avoid significant and potentially lethal doses of radiation.
Cone beam cover method: An approach to performing backprojection	in Katsevich's exact algorithm for spiral cone beam CT
Authors: Yang Jiansheng , Kong Qiang , Zhou Tie , Jiang Ming
Published: November 2024

The conventional implementation of Katsevich's inversion formula involves the computation of PI segment. This is done by solving a nonlinear equation with a numerical algorithm such as Newton's method. In this study, we develop an implementation of Katsevich's inversion formula without computing PI segment. Our implementation involves a new concept, cone beam cover, which is closely related to PI segment and Tam-Danielsson window. Unlike the implementation based on PI segment, the algorithm complexity of our implementation can be estimated with several important imaging parameters. This result may be instructive for practical applications to choose scanning parameters and reduce the algorithm complexity. The proposed implementation is validated with satisfactory numerical experiments.
A practical software platform of integrated reconstruction	algorithms and forward algorithms for 2D industrial CT
Authors: Li Hui , Zhang Zhaotian , Tian Jie
Published: November 2024

Computed tomography plays an important role in industrial non-destructive testing, medical applications, astronomy and many other fields to analyze inner structures of scanned objects. This article addresses a new development of non-destructive testing software platform to efficiently detect inner flaws of space industrial components. As the key of our software, reconstruction algorithms of 2D industrial computed tomography including preprocess of raw data, re-arrange algorithm and filtered back-projection algorithms have been described in detail in this article. Experimental results with four groups of real raw data from China Aerospace Science and Technology Corporation confirmed the accuracy of the reconstruction algorithm in our software. Forward algorithm of 2D industrial computed tomography is another important component of our software, which conveniently generates parallel-beam and fan-beam raw data with given parameters.
Metal artifact reduction for CT based on sinusoidal	description
Authors: Liu Julian J. , Watt-Smith Stephen R. , Smith Stephen M.
Published: November 2024

Computed tomography has played a key role in bone structure imaging for over two decades. However, when a metal implant is present in the sample, the reconstructions are seriously distorted by artifact, and no method has successfully met the clinical demands. This paper presents a new method for metal artifact reduction in Computed Tomography based on sinusoidal description with the concentration of clinical applications. A piece of pig's leg with a lead nail placed inside the bone was scanned, generating 224 slices, in 177 of which the metal implant was present. The method includes detection of the correspondence of metal implants, fitting, amendment, and reconstruction based on sinusoidal description. Simulation and statistical error analysis show that the method improves PSNR (Peak Signal-to-Noise Ratio). A 3D modeling based on the reconstruction using the sinusoidal amendment method for a real case demonstrates that most of the metal artifact has been removed, which is compared with that based on the default output of the scanner. Metal artifacts in CT can be reduced effectively by the method based on the sinusoidal description, which isolates the correspondence of a metal implant from the original projection, so that a high quality reconstruction can be obtained.
Coherent Raman protocol of biosensing with a hollow	photonic-crystal fiber
Authors: Konorov S.O. , Fedotov A.B. , Mel'nikov L.A. , Shcherbakov A.V. , Miles R.B. , Zheltikov A.M.
Published: November 2024

A nonlinear-optical protocol of biosensing is demonstrated with a hollow-core photonic-crystal fiber. This protocol involves phase-matched four-wave mixing of millijoule nanosecond laser pulses guided by photonic band gaps of hollow fibers with a two-dimensionally periodic cladding and a core diameter of about 50 μm. Raman resonances related to the stretching vibrations of water molecules inside the hollow fiber core are detected in the spectrum of the four-wave mixing signal, suggesting phase-matched coherent anti-Stokes Raman scattering in hollow photonic-crystal fibers as a convenient sensing technique for condensed-phase biospecies adsorbed on the inner fiber walls and trace gas detection, including exhale-gas diagnostics.
System for undisturbing on-line control of spatial distribution of	X-radiation fields
Authors: Kochubey V.I. , Konyukhova Ju.G.
Published: November 2024

Opportunity of the developing of the X-ray transparent systems for on-line recording of spatial distribution of hard X-rays is considered. The systems also make it possible to record images with the submicron spatial resolution. A system including lead-free glass microcapillary plate filled with X-ray phosphor which weakly absorbs X-radiation is proposed.
Capillary optics for real time X-ray diffractometry
Authors: Bjeoumikhov A. , Bjeoumikhova S. , Langhoff N. , Wolff H.
Published: November 2024

The objective of the present work is the measurement of diffraction patterns of polycrystalline materials in a short time. A method is proposed which opens possibilities to generate real time diffraction patterns using a normal x-ray CCD camera without cooling. The key element is an effectively focusing capillary lens. Using the transmission focusing scheme according to Guinier diffraction patterns of molybdenum and zirconium polycrystals have been recorded. A 30 Watt x-ray tube with Mo anode and a capillary lens with a focus spot of 35 μm diameter were employed for that purpose. Procedures to further improve the quality of the diffraction pattern are discussed.
Visualization of guinea pig cochleae with computed tomography of	diffraction enhanced imaging and comparison with histology
Authors: Yin Hong-Xia , Zhao Tao , Liu Bo , Shu Hang , Huang Zhi-Feng , Gao Xiu-Lai , Zhu Pei-Ping , Wu Zi-Yu , Luo Shu-Qian
Published: November 2024

As a novel imaging method, X-ray diffraction enhanced imaging (DEI) has extremely high sensitivity for weakly absorbing biological soft tissues. Recently, biomedical application research about DEI and computed tomography of DEI (DEI-CT) has become a hot issue. In this paper, a novel visualization method of micro biomedical structures is presented, which uses DEI-CT techniques to study guinea pig cochleae. The acquired DEI images clearly displayed the spiral structures and inner details of the guinea pig cochleae. DEI-CT reconstructions were obtained from the peak projection data and refraction angle projection data of guinea pig cochleae. Based on DEI-CT reconstructions, we implemented three-dimensional visualization of guinea pig cochleae. Moreover, visualization of guinea pig cochlea based on color images of the histological sections was performed for comparison with the results of DEI-CT. The advantages and limitations of the two methods in visualizing guinea pig cochleae are also discussed. This study demonstrates that DEI-CT is an effective method to visualize the biomedical micro-organs and minute tissues with a good contrast and spatial resolution.
Characteristics of Domestic Violence in the Context of Divorce Legal Formulation of the Religious Chamber in SEMA No. 3 of 2023
Authors: Masyayih Ali Akbar , Al Waris Mohammad Wahyu , Rato Dominikus
Published: November 2024

This research aims to analyze the resolution of divorce disputes in religious courts after the implementation of Circular Letter of the Supreme Court of the Republic of Indonesia Number 3 of 2023 concerning the Implementation of the Formulation of the Results of the Plenary Meeting of the Court Chamber of the Supreme Court in 2022 as a Guide to the Implementation of Duties for the Court. The method used for this research is a normative legal research method which refers to literature and legal research, then data collection and analysis is carried out after which conclusions are drawn using deductive thinking methods. The results of the study show that, the publication of the Religious Chamber's Formulation of Circular Letter Number 3 of 2023 which regulates that to maintain a marriage and fulfill the principle of making divorce difficult, divorce cases based on continuous disputes and quarrels can be granted if it is proven that the husband/wife has continuous conflicts and quarrels. continuously, or have been separated from their residence for at least 6 (six) months, it does not just appear out of thin air but goes through a long process. The Supreme Court through the Religious Chamber Meeting Formulations in SEMA 4 of 2014 also provided several indicators indicating the condition of a broken household ( broken marriage ). This formulation was then refined in SEMA 3 of 2023 which provides instructions for judges to consider sufficiently and carefully when adjudicating divorce cases. The formulation of the Religious Chamber Meeting in SEMA 3 of 2023 emphasizes the provisions of Article 39 paragraph (2) of Law Number 1 of 1974 concerning Marriage, which makes it easier for judges to explore the roots of divorce problems submitted by husbands or wives to minimize the reasons for divorce, continuous disputes and quarrels
Detectability of Accretion-Induced Bosenovae in the Milky Way
Authors: Maseizik Dennis , Eby Joshua , Seong Hyeonseok , Sigl Günter
Published: November 2024

We estimate collapse rates of axion stars in our galaxy based on the axion minicluster mass function of the Milky Way dark matter halo. We consider axion-like particles with different temperature evolution of the axion mass, including the QCD axion with \(m_a = 50\mu\)eV. Combining estimates for the present-day axion star mass function from our previous work with the axion star accretion model predicted by self-similar growth, we can infer the expected number of bosenovae occurring within the Milky Way. Our estimates suggest that for an observation time of \(t_{obs} = 1\)yr, the majority of the up to \(\sim 10^{13}\) bosenovae per galaxy occur in the densest miniclusters with initial overdensity parameter \(\Phi \lesssim 10^4\). We discuss the detectability of such recurring axion bursts within our galactic vicinity and find that, for models with derivative couplings including axion-fermion interactions, potential broadband axion DM experiments can probe a large range of ALP masses \(m_a \lesssim 10^{-6}\)eV and with moderate improvements even the QCD axion case. For axions with non-derivative-type interactions like the axion-photon coupling, our analysis suggests that optimistic predictions with order-one dark matter abundance of axion stars \(f_\star \sim 1\) can be probed by dedicated burst searches.
Economic Interaction and Competitiveness of Regional Development in Conditions of Clustering of Forms of Innovative Project Activity of Educational Institutions
Authors:   State Higher Educational Institution “Pryazovskyi State Technical University”, Khadzhynova Olena , Zhovnovach Ruslana ,   Central Ukrainian National Technical University, Yakushev Oleksandr
Published: November 2024

The article examines the economic interaction and competitiveness of regional development in the conditions of clustering of forms of innovative project activity of educational institutions, and also examines the impact of clustering on the economic development of regions. The focus of the study is the integration of educational institutions, scientific institutions and enterprises into single innovation clusters. The mechanisms by which such interaction contributes to increasing the competitiveness of regions, stimulates innovation and ensures sustainable economic growth are analyzed.
The article considers the advantages of the cluster approach, including improving the quality of education, improving the qualifications of specialists, creating favorable conditions for the development of entrepreneurship and innovation. The socio-economic effects of clustering, such as the growth of employment, the improvement of the population's standard of living, and the development of social infrastructure, are also investigated. It has been determined that economic interaction and competitiveness in the context of regional development of educational institutions are important aspects for ensuring the effective functioning and development of education in certain regions.
This study provides new knowledge and practical recommendations for economic interaction and competitiveness of regional development, based on innovation and integration of educational and scientific institutions in the economic activity of regions, which contributes to increasing their competitiveness at the national and global levels.
Prospective scientific research on the activation of integration processes and the determination of measures to promote the development of clustering of innovation-project activity of educational institutions will contribute to a deeper understanding of the mechanisms of economic interaction and competitiveness of regional development, as well as the development of effective strategies to support the innovation-project activity of educational institutions. This, in turn, will help create conditions for sustainable economic growth and improvement of the population's welfare in various regions.
PERLINDUNGAN HUKUM TERHADAP MEREK BARANG DAN JASA
Authors: Ahmad Ali Nabfahrin
Published: November 2024

Tulisan ini bertujuan untuk memberikan perlindungan hukum terhadap merek dan jasa. Hal ini berdasarkan kepada peraturan perundang-undangfan khususnya yang berhubungan dengan merek yaitu UU No. 15 Tahun 2001, dan peraturan perundang-undangan yang berhubungan dengan merek. Dengan pertimbangan bahwa pentingnya sebuah merek, merek memerlukan perlindungan hukum sebagai obyek yang terkait dengan hak-hak perseorangan atau badan hukum. Untuk menjamin pelindungan hukum bagi pemegang hak atas merek dagang, kemudian para pemilik merek diharapkan dapat mendaftarkan mereknya untuk mendapat kepastian hukum
Zorunlu Şartlarda Tele Çalışmaya İlişkin Tutum ve İş Yaşam Dengesi Arasındaki İlişki Pandemi Süreci Örneği
Authors: Akcebe Furkan , Nişancı Zehra Nuray
Published: November 2024

Araştırmanın temel amacı, pandemi sürecinde tele çalışma modelini uygulayan çalışanların, tele çalışmaya ilişkin tutumlarını ve bu tutumlar ile iş yaşam dengeleri arasındaki ilişkiyi ortaya koymaktır. Araştırma, günümüzde olduğu gibi gelecekte de gelişmeye devam edecek olan iletişim teknolojilerinin etkisiyle daha da yaygınlaşacağı öngörülen tele çalışmaya ilişkin tutumları, bu tutum ile iş yaşam dengeleri arasındaki ilişkiyi ve tutumların demografik faktörlere göre değişip değişmediğini ortaya koyması açısından önemlidir. Günümüzün hızla gelişen dünyasında, geleceğe yönelik doğru öngörülere ulaşabilmek rekabet anlamında büyük önem arz etmektedir. Bu araştırma, çalışma hayatı, çalışanların iş yaşam dengeleri ve performanslarına dair geleceğe yönelik önemli ipuçları verecek olması açısından da ayrıca önemlidir. Araştırmada veri toplama aracı olarak anket kullanılmış, yeterli sayıda örnekleme ulaşabilmek için kartopu tekniğinden yararlanılmıştır. Çeşitli üniversite ve okullarda görev alan akademisyen ve öğretmelere ek olarak tele çalışmayı deneyimleyen kamu ve özel sektör çalışanlarından oluşan örneklem, toplam 382 kişiden oluşmaktadır. Yapılan analizler sonucu katılımcıların büyük kısmının tele çalışmaya ilişkin tutumlarının ortalamanın üzerinde olumlu olduğu tespit edilmiştir. Yine aynı şekilde çalışmaya katılan katılımcıların iş yaşam dengelerinin de ortalamanın üzerinde iyi bir düzeyde olduğu tespit edilmiştir. Öte yandan demografik faktörlerden eğitim durumu, yaş, çalışılan kurum gibi faktörlerin tele çalışmaya ilişkin tutum ile iş yaşam dengesi üzerinde anlamlı bir etkisi varken cinsiyet faktörünün herhangi bir etkisi olmadığı sonucuna ulaşılmıştır. Her iki değişken arasında düşük düzeyde korelasyon mevcuttur. Ayrıca iş yaşam dengesinin, tele çalışmaya ilişkin tutumu pozitif yönde etkilediği tespit edilmiştir.
Afyonkarahisar Kadınana Suyu Vakıfları
Authors: Karazeybek Mustafa
Published: November 2024

Afyonkarahisar Kadınana suyunun ana kaynağı, Afyonkarahisar şehir merkezine yakın Kışlacık Köyü yakınlarında dağdan çıkmaktadır. Bu su taştan yapılmış bir kanal ile şehre gelmektedir. Su kanalının ilk defa ne zaman ve kimin tarafından yaptırıldığına dair muhtelif rivayetler vardır. Ancak yaptığımız çalışmalar sonucunda kanalın yapımına Kanuni Sultan Süleyman'ın sadrazamlarından Semiz Ali Paşa tarafından 1560'lı yıllarda başlatıldığı ortaya çıkmıştır. Su kanalının bakım ve onarım masraflarını karşılamak üzere vakıflar oluşturulmuştur. Kanalın yapılmasından sonra oluşturulan ilk vakıf Gülşirin Hatun Vakfı'dır. Gülşirin Hatun, Afyonkarahisar şehir merkezinde Otpazarı mevkiinde on iki dükkan yaptırarak vakfetmiştir. Söz konusu vakıf 1575 tarihinden önce kurulmuştur. Hark-ı Kebîr olarak isimlendirilen kanalın bakım ve onarımı için oluşturulan en önemli vakıf ise Hark-ı Kebîr Vakfı'dır. Bu vakıf güçlü bir nakit para vakfı olarak 1575'ten sonraki bir tarihte Kadınan olarak anılan kişi tarafından kurulmuştur. Bu vakıf aynı zamanda Afyonkarahisar şehri ve çevresindeki köylerde yaşayan kişilerin nakit para ihtiyacını karşılayan önemli bir finans kurumudur. Hark-ı Kebîr Vakfı zamanla çeşitli kişiler tarafından miraslarından para tahsis edilerek güçlendirilmiştir.
Bu makalenin amacı, yüzyıllarca Afyonkarahisar Şehri'nin önemli bir su kaynağı olarak hizmet veren, aynı zamanda şehrin ilk şebeke suyu özelliği taşıyan suyun uzun zaman hizmet vermesini sağlayan vakıflarını ortaya koymaktır. Aynı zamanda, bu vakıflar üzerinden Osmanlılar döneminde nakit para vakıflarının işleyişi ve finans kaynağı olarak şehir hayatındaki rolünün anlaşılmasına katkıda bulunmaktır.
Якісне визначення виділення антибактеріальних препаратів остеопластичними матеріалами, які застосовуються в стоматології та щелепно-лицевій хірургії
Authors: Михайличенко Богдан Григорович , Мочалов Юрій Олександрович
Published: November 2024

Вступ. Остеопластичні (або кістково-замінні) матеріали є медичними виробами, які застосовуються у різних галузях медицини, і стоматологія перебуває на умовному третьому місці у світі за рівнем їх споживання. Клінічне застосування остеопластичних матеріалів завжди має ризики інфікування рани патогенною та умовно-патогенною мікрофлорою, яка може потрапляти на операційне поле. Фармакокінетика антибактеріальних засобів, введених до складу остеопластичних матеріалів є мало дослідженим питанням в медицині та в стоматології зокрема. Методологія та методи дослідження. Мета дослідження – перевірити за допомогою якісних тестів тривалість виділення антибіотиків з остеопластичних матеріалів, які застосовуються в стоматології та щелепно-лицевій хірургії, після попередньої експозиції матеріалів у відповідних розчинах. Три матеріали («Біомін ГТ», «easy-graft CLASSIC 150» та «InterOss» (1–2 мм)) після добової витримки в розчинах гентаміцину сульфату 4,0%, офлоксацину 5,0%, метронідазолу 5,0% та левоміцетину 5,0% і наступного висушування, поміщали в дистильовану воду, в якій визначали присутність залишків антибіотиків на 2-й, 5-й, 10-й та 30-й день (із заміною води). Для визначення використовували експрес-тест для визначення антибіотиків та інгібіторів (антисептики та мийні засоби) в молоці «Charm CowSide® II». Виклад основного матеріалу дослідження. Результати дослідження показали, що тривале виділення антибіотиків (30 днів) спостерігалося при застосуванні розчину гентаміцину сульфату та офлоксацину. Залишки метронідазолу та левоміцетину виявлялися до другого дня експерименту включно. Застосована тест-система є високочутливою до гентаміцину сульфату й офлоксацину й менш чутливою до двох інших препаратів. Також не можна виключати часткову інактивацію метронідазолу та левоміцетину при взаємодії з речовиною остеопластичного матеріалу. Процеси взаємодії окремих антибіотиків з кістково-замінними матеріалами природного та штучного походження потребують подальшого дослідження. Висновки. Проведені тести якісного визначення залишків антибіотиків в остеопластичних матеріалах дозволяють підтвердити тривале виділення активної речовини (до 30 днів) матеріалами природного та штучного походження при застосуванні розчину гентаміцину сульфату та офлоксацину. Взаємодія метронідазолу та левоміцетину з остеопластичними матеріалами потребує подальшого дослідження.