bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Pengendalian Kualitas Produksi Dengan Metode Six Sigma Pada Industri Retail Meat N Fresh
Authors: Parningotan Sepriandi , Hidayat Miwan Kurniawan , Pangastuti Nova , Fajri Erland Alyansa , Irawati Dwi , Nuraeni Yuni Siti
Published: January 2024

Meat N Fresh merupakan industri retail yang bergerak dibidang frozen food. Permasalahan yang terjadi adalah banyaknya tingkat kecacatan produk Meat N Fresh. Penelitian ini bertujuan untuk mengetahui faktor penyebabkan kecacatan dan usulan pengendalian kualitas produk menggunakan metode Six Sigma. Penelitian ini menggunakan metode Six Sigma dengan tahapan DMAIC (Define, Measure, Analyze, Improve, and Control). Didukung oleh diagram Pareto, p chart, diagram fishbone, dan usulan perbaikan 5W+1H. Hasil dari penelitian ini diketahui faktor penyebab cacat produk yaitu faktor manusia, kurangnya pelatihan dan kelelahan akibat berdiri terlalu lama menyebabkan kurang fokus. Faktor metode, kesalahan saat assemblly, kesalahan proses pemotongan, dan proses packing yang kurang maksimal. Faktor mesin, kurangnya maintenance kestabilan mesin potong dan mesin.. Faktor bahan baku, kualitas bahan baku. Faktor lingkungan kerja, suhu yang terlalu panas. Berdasarkan analisis 5W+1H, usulan perbaikan untuk faktor manusia, perbaikan waktu istirahat serta penambahan ventilasi, dan pelatihan penggunaan mesin press. Faktor metode, pelatihan penggunaan mesin potong dan press, dan mengoptimalkan proses packing. Faktor mesin, perawatan mesin potong dan press secara berkala. Faktor bahan baku, pengawasan kualitas bahan baku. Faktor lingkungan, menambah pendingin bersuhu rendah untuk di kendaraan logistik maupun dalam pabrik.
Adaptation of flexible thinking in learning scale to Turkish culture
Authors: AKTAŞ Niyazi , DEMİRGÜL Süleyman Agah , SANCAR İskender Volkan
Published: January 2024

This article aims to adapt the Flexible Thinking in Learning (FTL) scale developed by Barak and Levenberg in 2016 to Turkish culture The FTL scale, whose original language is English, consists of three sub-dimensions: “Acceptance of Learning Technologies”, “Open-Mindedness in Learning” and “Adaptation to New Learning Situations”. During the process, language and field experts conducted mutual translations between English and Turkish to assess the language equivalence of the scale. The original scale was supplied to English teachers to measure the degree of similarity between the original language (English version) and the translated language (Turkish version). After a fifteen-day interval, the same teachers were given the adapted version of the scale. The degree of similarity between the scale's original language and its Turkish translation was calculated. Once the scale’s harmony was deemed satisfactory in both languages, a pilot study was conducted to receive feedback and suggestions on the comprehensibility, applicability, and general structure of the scale. After necessary improvements were made, the scale was finalized. The Flexible Thinking in Learning (FTL) scale, which was adapted to Turkish, was applied to 516 volunteer teachers. As per the findings of the analysis, the adapted scale has three sub-dimensions, just like the original scale. The measured structure of the adapted scale was found to be consistent with the original scale’s factor structure.
Između negiranja i konsternacije
Authors: Šantić Andrijana , Degmečić Dunja
Published: January 2024

Analizirajući relevantna istraživanja shvaćanja međudjelovanja okolišnih kulturnih i socioekonomskih čimbenika na zdravstveno stanje te daljnjim proučavanjem dostupne literature dolazimo do širine i jednostavnosti definiranja pojmova bolesti i kriznoga stanja. Shvaćanje bolesti i suočavanje s njom uvijek je individualno, što uporište pronalazi u vlastitoj predodžbi bolesti. Krizno stanje označava poremećaj psihosocijalne ravnoteže koji je posljedica nekoga nepovoljnoga događaja ili prolongiranih, često dugotrajnih, nepovoljnih životnih okolnosti. Cilj je ovoga preglednoga rada pojasniti osnovne elemente koji doprinose stvaranju percepcije bolesti i kriznoga stanja pacijenta te važnost empatije terapeuta tijekom sudjelovanja u liječenju pacijenata, što podrazumijeva stvarno dijeljenje osjećaja tereta, uz zadržavanje profesionalne objektivnosti i kontroliranja terapijskoga plana.
УПРАВЛІННЯ ТА ІДЕНТИФІКАЦІЯ РИЗИКІВ НА ГАЗОТРАНСПОРТНИХ ПІДПРИЄМСТВАХ
Authors: КОСТЮК Олег , БУБЕЛА Тетяна
Published: January 2024

Сьогодні для підземного зберігання природного газу та забезпечення безперебійного постачання природного газу споживачам, газотранспортні підприємства використовують газоперекачувальне обладнання  з особливими експлуатаційними властивостями та технічними характеристиками, що працює за рахунок спалювання природного газу та займає 85-90% витрат енергоносіїв у структурі витрат підприємства. Подальший розвиток підприємства та забезпечення конкурентоспроможності цієї галузі у великій мірі пов’язане з управлінням енергоспоживання та рішеннями по впровадженню заходів з енергоефективності, спрямованих на виконання таких завдань, як оптимізація енергетичного балансу, мінімізація споживання енергоресурсів, оптимізація енергоефективності, охорона навколишнього природного середовища. В роботі проаналізовано основні етапи процесу управління ризиками для підприємств газотранспортної системи України. Акцент зроблено на ідентифікації ризиків з урахуванням стратегічних цілей, обмеженості ресурсів і  загроз, яка дозволить здійснювати вибір проектів, враховуючи при цьому: різноманітність завдань, що плануються для вирішення на газотранспортних підприємствах; планування реалізації заходів в різному часовому проміжку (врахування першочерговості впровадження), узгодження та координація на всіх рівнях управління, можливі ризики, а також механізми фінансування. Досліджено аспекти управління ризиками при реалізації енергозберігаючих заходів на газотранспортному підприємстві. Визначено перелік критичних ризиків, здійснена оцінка причин їх виникнення , змодельовані  заходи щодо їх управління. Практичне застосування такої моделі істотно підвищує можливість вибору оптимального пакету енергозберігаючих заходів для реалізації.
La gamificación para fomentar actitudes ambientales
Authors: Alomía Ceballos Karen Michele , Cuarán Chapuesgal Sandra Milena
Published: January 2024

Este estudio se construye con el objetivo de contribuir al fomento de actitudes ambientales a través de la gamificación en los estudiantes de séptimo grado de la Institución Educativa Rural José Asunción Silva en el Valle del Guamuez. Inicialmente, se identifica el nivel de actitudes ambientales mediante un pretest, dando paso al diseño e implementación de la gamificación. La propuesta contiene una serie de ambientes gamificados, utilizando aplicativos virtuales y elementos de juegos, con el fin de promover el desarrollo de buenos hábitos ambientales; es decir, que cada estudiante sea capaz de tomar las mejores decisiones ante una problemática ambiental que se genera desde pequeños contextos educativos como son los colegios. Posteriormente, se hace un análisis de la aplicación de la propuesta encaminada a desarrollar y mejorar dichas actitudes. Esta investigación se rige bajo un paradigma mixto, con enfoque crítico social e investigación de tipo cuasi experimental.
La calistenia, una estrategia fundamental para disminuir el sedentarismo en los estudiantes de la I.E.M. Liceo José Félix Jiménez sede Madre Caridad grado cuarto
Authors: Burbano Palacios Julián David , Bravo Belalcázar Estefanny Melissa , Segura Pabón Ángela Gabriela , Villacrez Oliva Maria Victoria
Published: January 2024

El proyecto de investigación tuvo como principal objetivo, emplear la calistenia como una estrategia fundamental para disminuir el sedentarismo en los estudiantes de la institución educativa municipal José Félix Jiménez sede Madre Caridad, por lo cual se propuso identificar los factores físicos, emocionales y sociales que provocan el sedentarismo en esta población, para luego diseñar e implementar la calistenia como estrategia pedagógica. El estudio fue cualitativo, con enfoque crítico social apoyado en un tipo de investigación acción aplicado a 31 estudiantes de primaria. Como técnica de recolección de información se utilizó la observación participante; como instrumentos, el diario pedagógico. Los resultados obtenidos muestran a una institución con cierto número de estudiantes que presentan sedentarismo, con los cuales se trabaja un proceso de actividades físicas, pero hace falta implementar ciertas capacitaciones para los docentes, que les permitan una formación adecuada en cuanto a fomentar la práctica de ejercicio con miras a un mejoramiento continuo en el proceso de enseñanza y/o aprendizaje de la institución. También, se debe precisar que la estrategia logró un impacto positivo, favoreciendo el desarrollo físico, emocional y competitivo, despertando el espíritu deportivo y aportando a una mejor calidad de vida.
Impact of women’s economic empowerment on the rise of female entrepreneurship and human capital in Botswana
Authors: Bobek Vito , Schachl Andrea , Horvat Tatjana
Published: January 2024

The authors investigated the importance of women’s economic empowerment and its impact on the rise of female entrepreneurship and human capital in Botswana. The research included a case study analysis with four in-depth expert interviews. Data triangulation ensured the study's validity, and the case was examined through pattern matching. The results demonstrate that female entrepreneurs face challenges such as access to resources and education, socio-cultural norms, a lack of social protection, and a large and unprotected informal sector. The government and institutions shall promote women's enablement through a direct labor market intervention, support for the informal sector, a gender-sensitive constitutional, legal, and institutional framework, the enforcement and oversight of gender-responsive laws and policies, and access to resources and education. Furthermore, women require digital inclusion, entrepreneur networks, social protection, and reformed socio-cultural norms. If female entrepreneurs are empowered adequately, they will contribute to nations' human capital, economic growth, and development.
Big data and artificial intelligence in post-stroke aphasia: A mapping review
Authors: Pottinger Gordon , Kearns Áine
Published: January 2024

BACKGROUND: Aphasia is an impairment of language as a result of brain damage which can affect individuals after a stroke. Recent research in aphasia has highlighted new technologies and techniques that fall under the umbrella of big data and artificial intelligence (AI). OBJECTIVES: This review aims to examine the extent, range and nature of available research on big data and AI relating to aphasia post stroke. METHODS: A mapping review is the most appropriate format for reviewing the evidence on a broad and emerging topic such as big data and AI in post-stroke aphasia. Following a systematic search of online databases and a two-stage screening process, data was extracted from the included studies. This analysis process included grouping the research into inductively created categories as the different areas within the research topic became apparent. RESULTS: Seventy-two studies were included in the review. The results showed an emergent body of research made up of meta-analyses and quasi-experimental studies falling into defined categories within big data and AI in post-stroke aphasia. The two largest categories were automation, including automated assessment and diagnosis as well as automatic speech recognition, and prediction and association, largely through symptom-lesion mapping and meta-analysis. CONCLUSIONS: The framework of categories within the research field of big data and AI in post-stroke aphasia suggest this broad topic has the potential to make an increasing contribution to aphasia research. Further research is needed to evaluate the specific areas within big data and AI in aphasia in terms of efficacy and accuracy within defined categories.
Simulation and Analysis of Multi-Signal Middle-Orbit Spacecraft Positioning Performance
Authors: Lai Jiangfeng , Ma Xiangtai , Hu Yanfeng , Wang Jun , Li Wenjian
Published: January 2024

To address the challenge of autonomous orbiting of space satellites under the increasing number of satellites in space,the Satellite Tool Kit (STK) is used to simulate and analyze the orbiting of medium-orbit satellites under Multi-Global Navigation Satellite System (Multi-GNSS) signals. The four global navigation systems and augmentation systems are modeled by STK. The satellite signals from the navigation systems are received by the middle earth orbit (MEO) satellite. The satellite signals from the navigation systems are received by the middle earth orbit (MEO) satellite receiver, and the number of visible stars, the Dilution of Precision (DOP) value, and the navigation and positioning accuracy are used as the evaluation indexes. The navigation systems are received by the middle earth orbit (MEO) satellite receiver, and the number of visible stars, the Dilution of Precision (DOP) value, and the navigation and positioning accuracy are used as the evaluation indexes to study the optimal positioning mode of the middle-orbit satellites in the case of multi-GNSS. concluded that under single-system positioning, the positioning accuracy of BEIDOU system is higher, up to 4 meters accuracy. Under dual-system positioning, the combined accuracy of BEIDOU system is higher, up to 4 meters accuracy. Under dual-system positioning, the combined accuracy of BEIDOU and the Global Positioning System (GPS) is higher, with an accuracy of about 3 meters.
Condition Monitoring of IGBT Devices in Internet of Things Based on Random Forest Model
Authors: Zhou Lidan , Yao Gang , Wang Hongyu , Li Jian , Liu Siyang , Nie Yongjie
Published: January 2024

Aiming at the problem of frequent aging faults of insulated gate bipolar transistor modules, this paper takes IGBT aging fault characteristic parameter data collected from the intelligent sensing layer of the Internet of Things terminal as samples. In the computing fusion cooperation layer, multi-terminal cooperation training and establishment of an optimized random forest model is applied to the IGBT aging fault diagnosis system to realize the condition monitoring of IGBT devices. Firstly, the characteristic parameters of aging fault are selected from the data samples and preprocessed to establish the aging fault diagnosis data set. Secondly, the traditional random forest model is built and optimized by parameter optimization of base evaluator, parameter optimization of model frame and bagging method. The optimization model training was completed on the basis of cross-validation. Finally, the prediction effect of the model in this paper and other models on IGBT aging fault diagnosis data set was evaluated by various evaluation indexes. Finally, the optimized model fit well, the error between the training set curve and the test set curve was 1.19%, and the prediction accuracy on the test set could reach 98.81%. The feasibility and accuracy of the optimized random forest model applied to IGBT condition monitoring system in the Internet of Things environment are verified.
Estimation of Resonance Echo Signal of Kalman Filter Algorithm Based on PCA Under Pipe String Sound Field Model
Authors: Sun Xia , Yang Jianli , Liu Zekui
Published: January 2024

Sound field analysis of oil well string is very important for the detection of oil well dynamic liquid level. Acoustic wave state is a key parameter, which indicates the relationship between oil well string and oil level. Because the echo resonance signal of acoustic wave contains the relevant parameters of oil level reflection, it needs to be processed. In this paper, the combination of principal component analysis (PCA) and Kalman filter algorithm is proposed to process the oil well echo resonance signal. Experimental results show that this method can significantly improve the noise filtering of the signal, and then improve the state estimation of the system more efficiently.
3D Ground-Penetrating Radar Void Detection Method Based on Spatial Convergence
Authors: Zhou Nanjie , Tang Jiaming , Huang Zhiyong , Li Weixiong , Zhang Xiaoning
Published: January 2024

In order to solve the problem of void feature detection of 3D ground-penetrating radar data, the test of void detection in polystyrene cubic simulation road is carried out in this paper. The B-scanning image was processed by binarization, corrosion, expansion and thin length, and the suspected void region was obtained, According to the characteristics of multi-channel detection of 3D ground-penetrating radar, a method is proposed to divide the B-scanning image of suspected void into several clusters and calculate the convergence of each cluster to identify and determine the void signal. The detection method has been verified in the engineering, The results show that in the process of the field test and verification, the algorithm of 3D ground-penetrating radar data void characteristic detection accurately recognizes 4 sites with void potential. Also, the 3D matching test successfully eliminated 8 suspected void regions, indicating that the 3D ground-penetrating void feature detection algorithm has excellent robustness in the task of void segmentation of radar images. The technique can detect the voids inside city roads accurately and fast which have great significance in reducing casualties and property damage.
Experimental Study of Active Vibration Control for Flexible Truss by Using a Stewart Platform Manipulator
Authors: Luo Bo , Yu He , Feng Fei , Gao Benzheng , Ge Yue
Published: January 2024

Experiments of active vibration control for flexible truss are studied, with a Stewart platform manipulator (SPM) employed as an active device at the bottom of the truss. A back-propagation neural network is designed to identity the controlled object. And on the basis of the identification model, this work constructs a neural network adaptive inverse controller (NNAIC). Then based on the dSPACE real-time simulation system, the control test system for the truss is built, on which the neural network adaptive inverse control experiments are carried out. The vibration amplitude decreases more than 93.8% and 89.6% with the structure continuously being excited at the first-order and second-order resonant frequency respectively. The results indicate the effectiveness of the control conducted by using SPM, and NNAIC has a good performance.
Research and Practice of Mechatronic Engineering Experimental Platform Based on Digital Twin
Authors: Wu Min , Ying Wenfeng
Published: January 2024

Aiming at the problems existing in product design, model design and analysis, electrical and mechanical collaborative design, process design and other aspects of Mechatronics Engineering, this paper uses digital twin technology to build Mechatronics experimental platform. The digital twin model is established in Siemens NX, and the communication network based on TCP, plcsim adv and other communication modes is constructed. The platform can realize the functions of product design, process design, virtual machining, virtual motion simulation, virtual real joint debugging and so on. Taking the automatic sorting device as an example, the practical application was carried out. The research results show that the experimental platform provides students with a close to reality mechatronics engineering environment, helps students strengthen the concept of product life cycle from product design, process planning, product manufacturing, product testing and other aspects, and helps to cultivate students’ ability to discover potential problems, stimulate innovative thinking, and constantly pursue optimization and progress, It is in line with the development direction of mechatronics engineering experiment technology.
A Three-Leg-Based Full-Bridge Converter with Active Current Doubler Rectifier
Authors: Liu Haoyang , Fu Xintian , Chang Ruirui , Chen Huanyun
Published: January 2024

To improve the performance of conventional phase-shifted full-bridge (PSFB) converter, this paper presents a three-leg-based full-bridge with active current doubler rectifier, which used two full-bridge structures and an active current multiplier rectifier. The converter overcomes the shortcomings of traditional converters such as narrow soft switching range and large output filter inductance. In addition, the converter solves the circulating loss of existing current doubler converter and improves the voltage gain. By using two auxiliary switches on the rectifier side, soft switching of all switches is achieved. An experimental model with a power of 1kW, input voltage of 220–400V, and output voltage of 100V is designed to justify the feasibility of this converter.
Study on the Transmission Performance of Single and Double Circular arc Normal Plane Cutoffs of Ball Screw Vice Raceways
Authors: Li Shuai , Zhang Xiaofeng
Published: January 2024

In order to further grasp the transmission performance of ball screw vice, with the research object of FFZD-type ball screw sub with internal circular gasket preloaded flange nut of Nanjing Process Equipment Manufacturing Co. The single and double circular arc ball screws were analyzed for transmission efficiency fluctuation comparison. Derived: single arc ball screw than double arc ball screw transmission efficiency fluctuation range is larger. The fastest increase in the transmission efficiency of the screw is in the range of the lead angle, and the average increase in the lead angle of 1 °, the average increase in the transmission efficiency of the screw is about 4%. Single and double circular arc screw required driving torque comparative analysis. The analysis results show that the driving torque required for single arc ball screws can be saved by up to 33% compared with double arc ball screws.
Recommendations for Acceptance Protocol for Flatness of Surface Plates
Authors: El Melegy Ahmed , Zahwi Sarwat
Published: January 2024

Assessment and calibration of surface plates becomes necessary demand in production metrology. Surface plates are considered as reference planes for many types of dimensional measurements. There are different measuring instruments that can be used in calibration of surface plates i.e. laser interferometer systems and autocollimator systems. In both measuring instruments, a carriage with foot spacer that carries the reflector/reflecting mirror are used. The problems in calibration of surface plates appear in determination of related effected parameters i.e. plate working size, distance between the two feet of foot spacer and number of tested points over the plate. The determination of these parameters can act as an acceptance criteria or protocol of surface plates. In this paper, a grade 1 granite surface plate is calibrated by a laser interferometer system. Three foot spacers with different foot distance 2, 4 and 6 inches are used. The plate calibration is performed at different working sizes 90%, 80% and 70% of actual plate size. The flatness measurements in these 6 calibrations are analyzed. The results and evaluated uncertainties are evaluated and compared.
Perfluorobutane application value in microwave ablation of small hepatocellular carcinoma (<3 cm)
Authors: Pan Yanghong , Liu Delin , Liang Fei , Kong Zixiang , Zhang Xu , Ai Qinqin
Published: January 2024

BACKGROUND: No studies have been retrieved comparing perfluorobutane with sulfur hexafluoride for microwave ablation (MWA) in small hepatocellular carcinoma(sHCC). OBJECTIVE: To retrospective investigate the value of perfluorobutane ultrasonography contrast agent in ultrasonography (US)-guided MWA of sHCC. METHODS: We conducted a retrospective clinical controlled study about US-guided percutaneous MWA in patients with sHCC, and in patients undergoing intra-operative treatment with perfluorobutane or sulfur hexafluoride. In both groups, a contrast agent was injected to clear the tumor and then a needle was inserted. A 5-point needle prick difficulty score was developed to compare needle prick difficulty in the two groups of cases. RESULTS: A total of 67 patients were included: 25 patients in group perfluorobutane, aged 41–82 (60.64±9.46), tumor size 1.1–2.8 (1.78±0.45) cm. 42 patients in group sulfur hexafluoride, aged 38–78 (62.26±9.27), with tumor size of 1.1–3.0 (1.89±0.49) cm. There was no significant difference in age or tumor size in both groups (P > 0.05). Puncture difficulty score (5-point): 2.0–2.7 (2.28±0.29) in group perfluorobutane, and 2.0–4.7 (2.95±0.85) in group sulfur hexafluoride, and the difference between the two groups was statistically significant (P < 0.05). Enhanced imaging results within 3 months after surgery: complete ablation rate was 100% (25/25) in the group perfluorobutane, 95.2% (40/42 in the group sulfur hexafluoride), with no significant difference between the two groups (P > 0.05). CONCLUSION: Perfluorobutane kupffer phase can make the operator accurately deploy the ablation needle and reduce the difficulty of operation.
Improved learning in human evolutionary systems with dynamic contrastive learning
Authors: Johnson Joseph , Giraud-Carrier Christophe , Hatch Bradley
Published: January 2024

We introduce a new inductive bias for learning in dynamic event-based human systems. This is intended to partially address the issue of deep learning in chaotic systems. Instead of fitting the data to polynomial expansions that are expressive enough to approximate the generative functions or of inducing a universal approximator to learn the patterns and inductive bias, we only assume that the relationship between the input features and output classes changes over time, and embed this assumption through a form of dynamic contrastive learning in pre-training, where pre-training labels contain information about the class labels and time periods. We do this by extending and integrating two separate forms of contrastive learning. We note that this approach is not equivalent to inserting an extra feature into the input data that contains time period, because the input data cannot contain the label. We illustrate the approach on a recently designed learning algorithm for event-based graph time-series classification, and demonstrate its value on real-world data.
Construction of power load control and management terminal operation system based on machine learning technology
Authors: Liu Bing , Li Xianzhong , Li Zheng , He Peidong
Published: January 2024

With the increasing Power Load (PL), the operation of the power system is facing increasingly severe challenges. PL control is an important means to ensure the stability of power system operation and power supply quality. However, traditional PL control methods have limitations and cannot meet the requirements of load control in the new era of power systems. This is because with the development of modern industry and commerce, the demand for electricity is gradually increasing. This article constructed a PL control and management terminal operating system based on machine learning technology to achieve intelligent management of PL, so as to improve the operational efficiency and power supply quality of the power system. This article identified the design concept of a PL control management terminal operating system based on machine learning technology by reviewing the current research status of PL control technology. Based on the operational characteristics and data characteristics of the power system, this article selected suitable machine learning algorithms to process and analyze load data, and established a prototype of a PL control and management terminal operating system based on machine learning technology, so as to realize intelligent processing and analysis of load data and conduct experimental verification. The experimental results show that through the comparative study of 6 sets of data in the tertiary level, the difference between the system and the real tertiary level is 0.079 kw, 0.005 kw and 0.189 kw respectively. Therefore, therefore, the average difference between the predicted value and the measured value of the PL system is about 0.091 kw. This indicated that the system had high accuracy and real-time performance in predicting PL, which could effectively improve the load control efficiency and power supply quality of the power system. The PL control management terminal operating system based on machine learning technology constructed in this article provided new ideas and methods for the development of PL control technology. In the future, system algorithms can be further optimized and a more intelligent PL control and management terminal operating system can be constructed to cope with the growing PL and increasingly complex power system operating environment.
A novel anomaly detection model for secure multipath QUIC communications by jointly using empirical mode decomposition and long short-term memory networks
Authors: Lei Gang , Wu Junyi , Gu Keyang , Jiang Fan , Li Shibin , Jiang Changgen
Published: January 2024

In the era of rapid development of modern internet technology, network transmission techniques are continuously iterating and updating. The Quick UDP Internet Connections (QUIC) protocol has emerged as a timely response to these advancements. Owing to the strong compatibility and high transmission speed of QUIC, its extended version, Multipath QUIC (MPQUIC), has gained popularity. MPQUIC can integrate various transmission scenarios, achieving parallel transmission with higher bandwidth. However, due to some security flaws in the protocol, MPQUIC is susceptible to attacks from anomalous network traffic. To address this issue, we propose an MPQUIC traffic anomaly detection model based on Empirical Mode Decomposition (EMD) and Long Short-Term Memory (LSTM) networks, which can decompose and denoise data and learn the long-term dependencies of the data. Simulation experiments are conducted by obtaining MPQUIC traffic data under normal and anomalous conditions for prediction, analysis, and evaluation. The results demonstrate that the proposed model exhibits satisfactory prediction performance when trained on both normal and anomalous traffic data, enabling anomaly detection. Moreover, the evaluation metrics indicate that the EMD-LSTM-based model achieves higher accuracy compared to various traditional single models.
Investigation on wireless communication reliability planning in cloud computing mMTC scenarios
Authors: Li Qiang
Published: January 2024

With the development of cloud computing technology, cloud computing has been applied in various fields, but there is a lack of research in the Massive Machine Type Communication (mMTC) scenario. This article analyzed wireless communication reliability solutions in cloud computing mMTC scenarios to address this issue. Using the method of cloud computing, this article analyzed the reliability of wireless communication schemes and verified the effectiveness of the algorithm through credibility judgment and algorithm convergence characteristics under the guidance of wireless communication schemes. By analyzing the application of cloud computing in wireless communication solutions, this article analyzed the effectiveness of wireless communication solutions in the experimental section by comparing the error rate, success rate, and convergence of various algorithms. Through experimental analysis, it was found that the implementation success rate of chaotic particle swarm optimization algorithm was 5% higher than that of adaptive particle swarm optimization. The results indicated that cloud computing was well applied in wireless communication networks, thus providing reference significance for the application of cloud computing in other communication fields.
External biliary drainage before choledochal cyst treatment in a very low birth weight infant
Authors: Lee Ting-Yu , Chen C.-W.
Published: January 2024

Choledochal cysts (CC) are congenital biliary tract dilatations. Infantile CC (IFCC) in very low birth weight (VLBW) infants is rare. This is a case of a huge IFCC presented in VLBW preterm infant managed with external biliary drainage prior to definitive treatment. Electrolyte imbalance, poor weight gain, and infections were managed during external biliary drainage maintenance. Choledochal cyst excision and Roux-en-Y hepaticoenterostomy were successfully performed when the infant weighed 4.9 kg 5 months later. Delayed definitive treatment with external biliary drainage could be a feasible alternative for managing CC in low-birth-weight infants.
CANARD: An approach for generating expressive correspondences based on competency questions for alignment
Authors: Thiéblin Elodie , Sousa Guilherme , Haemmerlé Ollivier , Trojahn Cássia
Published: January 2024

Ontology matching aims at making ontologies interoperable. While the field has fully developed in the last years, most approaches are still limited to the generation of simple correspondences. More expressiveness is, however, required to better address the different kinds of ontology heterogeneities. This paper presents CANARD (Complex Alignment Need and A-box based Relation Discovery), an approach for generating expressive correspondences that rely on the notion of competency questions for alignment (CQA). A CQA expresses the user knowledge needs in terms of alignment and aims at reducing the alignment space. The approach takes as input a set of CQAs as SPARQL queries over the source ontology. The generation of correspondences is performed by matching the subgraph from the source CQA to the similar surroundings of the instances from the target ontology. Evaluation is carried out on both synthetic and real-world datasets. The impact of several approach parameters is discussed. Experiments have showed that CANARD performs, overall, better on CQA coverage than precision and that using existing same:As links, between the instances of the source and target ontologies, gives better results than exact label matches of their labels. The use of CQA improved also both CQA coverage and precision with respect to using automatically generated queries. The reassessment of the counter-example increased significantly the precision, to the detriment of runtime. Finally, experiments on large datasets showed that CANARD is one of the few systems that can perform on large knowledge bases, but depends on regularly populated knowledge bases and the quality of instance links.
Classification of benign and malignant pulmonary nodule based on local-global hybrid network
Authors: Zhang Xin , Yang Ping , Tian Ji , Wen Fan , Chen Xi , Muhammad Tayyab
Published: January 2024

BACKGROUND:

The accurate classification of pulmonary nodules has great application value in assisting doctors in diagnosing conditions and meeting clinical needs. However, the complexity and heterogeneity of pulmonary nodules make it difficult to extract valuable characteristics of pulmonary nodules, so it is still challenging to achieve high-accuracy classification of pulmonary nodules.

OBJECTIVE:

In this paper, we propose a local-global hybrid network (LGHNet) to jointly model local and global information to improve the classification ability of benign and malignant pulmonary nodules.

METHODS:

First, we introduce the multi-scale local (MSL) block, which splits the input tensor into multiple channel groups, utilizing dilated convolutions with different dilation rates and efficient channel attention to extract fine-grained local information at different scales. Secondly, we design the hybrid attention (HA) block to capture long-range dependencies in spatial and channel dimensions to enhance the representation of global features.

RESULTS:

Experiments are carried out on the publicly available LIDC-IDRI and LUNGx datasets, and the accuracy, sensitivity, precision, specificity, and area under the curve (AUC) of the LIDC-IDRI dataset are 94.42%, 94.25%, 93.05%, 92.87%, and 97.26%, respectively. The AUC on the LUNGx dataset was 79.26%.

CONCLUSION:

The above classification results are superior to the state-of-the-art methods, indicating that the network has better classification performance and generalization ability.
Effects of Long-term Pulmonary Rehabilitation Program on Lung Transplant Recipients: A Case Report
Authors:   Korean Academy of Cardiorespiratory Physical Therapy, Jeong Jong-Hwa
Published: January 2024

Purpose: The purpose of this study was to provide long-term pulmonary rehabilitation program (PR) to lung transplant recipients for more than a year and verify their effectiveness.
Methods: A 52-year-old female patient who had bilateral lung transplantation received an outpatient PR 3 times a week for a total of 97 weeks. The PR applied was composed of aerobic exercise, strength exercise, breathing exercise, flexibility exercise, and home exercise education. Evaluation was performed on the participant at 3, 6, 9, 12, and 24 months after surgery. For each period, the following parameters were determined: 6-minute walk distance (6MWD), grip strength, respiratory muscle strength, lung function, peak cough flow rate, skeletal muscle mass (SMM), and skeletal muscle index (SMI).
Results: The 6MWD increased up to 12 months following surgery, and exercise-induced hypoxemia occurred only 3 months following surgery. The grip strength increased up to 12 months after surgery and decreased at 24 months after surgery. The MIP increased up to 12 months after surgery, and the MEP increased until 24 months after surgery. The FVC increased up to 12 months following surgery and FEV1 increased up to 24 months following surgery. PCF increased up to 12 months after surgery. Body weight also increased steadily until 24 months postoperatively. SMM and SMI increased up to 12 months after surgery, and SMI decreased at 24 months following surgery.
Conclusion: It is essential that the PR for lung transplant recipients be applied intensively in less than 12 months after surgery, and the goal of the PR should be configured for the purpose of management in more than 12 months following surgery.
Study of the wave scattering in geological environments for the propagation velocity estimation
Authors:   Faculty of Physics and Engineering Physics, University of Science, Ho Chi Minh City, Van Anh Le Cuong ,   Vietnam National University, Ho Chi Minh City, Vietnam
Published: January 2024

Diffraction is a naturally physical phenomenon which plays an extremely key role in forming some theoretical foundations of analyzing geophysical data such as seismic reflection and high frequency electromagnetic, Ground Penetrating Radar to study geological objects. In this phenomenon, when a wave field propagates from a source to an object with small size or a rough surface, its wave energy receivers act as the secondary sources and send their energy parts back to geophones on the ground surface. The relationship between the wave propagation time and the receiver coordinates is formulated as a diffraction hyperbola. This paper reported examples of the high frequency electromagnetic and seismic scattering phenomena with their applications in the study of the wave propagation velocity, location of civil underground objects and seabed depth. The research on scattering phenomenon for the electromagnetic waves has been known and widely applied; however, studying the wave velocity model by the diffraction analysis from the high resolution reflection seismic data for a fixed source receiver distance can be firstly considered in Vietnam and in the world. To determine the two wave velocity types, two graphs of their energy and entropy attributes were built and then calculated from their Kirchhoff migrated data in velocity ranges in order to find out their attributes’ extremes versus velocity variables. Their migrated sections with correct wave velocities could correctly locate diffractors as underground anomalies and produced the maximum energy and minimum entropy values in the peaks of diffraction hyperbolae and the surrounding zones of the diffractors, respectively. These geophysical data were measured at the urban and coastal area of Can Gio district, Ho Chi Minh city, Vietnam.
Five triterpenoids from the stems of Lasianthus bidoupensis V.S. Dang & Naiki (Rubiaceae)
Authors:   Faculty of Environmental Science, Sai Gon University, Ho Chi Minh City, Vietnam, Nguyen Thi-Quynh-Trang , Doan Tuan ,   Faculty of Environmental Science, Sai Gon University, Ho Chi Minh City, Vietnam, Nguyen Thi-Diem-Huong ,   Ngo Gia Tu High School, District 8, Ho Chi Minh City, Vietnam, Nguyen Thi-Hoai-Thu ,   University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam, Pham Nguyen-Kim-Tuyen ,   Faculty of Environmental Science, Sai Gon University, Ho Chi Minh City, Vietnam
Published: January 2024

Lasianthus bidoupensis, belonging to Rubiaceae, has been recently found and has not been studied on chemical constituents and biological activities whereas species of the same genus have been used in traditional medicine and possessed diverse bioactivities. This paper reported the isolation and structural elucidation of organic compounds from the n-hexane extract of L. bidoupensis stems in order to give more chemical and biological information on this species. From the dried powder of L. bidoupensis stems, the crude extract was obtained by maceration of material in ethanol. This extract was separated into different polar ones by the method of liquid‒liquid extraction. The n-hexane extract, exhibited the strongest cytotoxic activity against MCF-7 cell line, was thus chosen to isolate the organic compounds by silica gel column chromatography. Five compounds were isolated as lupeol (1), 3-epi-betulinic acid (2), 3-epi-3-O-acetyl betulinic acid (3), 3-epi-oleanolic acid (4), and vergatic acid (5). The chemical structures of the isolated compounds were elucidated based on MS and NMR spectral data as well as a comparison of their NMR data with the published ones. Among them, compounds 2‒5 were reported in the genus Lasianthus for the first time and compound 3 showed the strongest MCF-7 cytotoxic activity with IC50 of 13.88±0.11 mg/mL.
Development of an in vitro mouse cultured uterine tissue model for the endometrial regenerative therapy
Authors:   Department of Physiology and Animal Biotechnology, Biology and Biotechnology Faculty, University of Science, VNU-HCM, Vietnam, Thi Vi Tuyet Le ,   Laboratory of Tissue Engineering and Biomedical Materials, University of Science, VNU-HCM, Vietnam,   Vietnam National University, Ho Chi Minh City, Vietnam, Thi Diem Hoang Tuyet ,   Hung Vuong Hospital, Ho Chi Minh City, Vietnam, Le Bao Tran Ha ,   Department of Physiology and Animal Biotechnology, Biology and Biotechnology Faculty, University of Science, VNU-HCM, Vietnam; Laboratory of Tissue Engineering and Biomedical Materials, University of Science, VNU-HCM, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam
Published: January 2024

The endometrium is a characteristic structure that undergoes sequential phases involving regeneration and shedding of the functional area. It is believed that the stroma and stem cells found in the endothelium's basal layer are what cause regeneration. This process is impacted by numerous endometrial diseases which decrease the fertility. The absence of readily available animal‒level models is the fundamental constraint on the research into the regenerative treatment. This paper presented an air‒liquid culture model, established to investigate the suitable conditions for maintaining the survival of mouse uterine tissue in vitro. The submerged culture model was used as a control. The culture lasted for 16 days. The evaluations of the structure (H & E staining), viability (live/dead staining), and function (embryo implantation) of the uterine tissue were performed to confirm the efficacy of the model. The obtained results showed that the mouse uterine tissues cultured in an air‒liquid condition recovered their tissue structure clearly, remained stable throughout the survey up until day 12, and displayed impaired degradation on the 16th day. On the other hand, by the 12th day, the submerged culture model had clearly degraded. Additionally, compared to the submerged culture model, the viability of tissue cultured under air‒liquid conditions demonstrated the superiority with the P-value of 0.05. Only the tissues, cultured in an air‒liquid environment, showed the embryos attaching to the endometrium's surface. In summary, the air‒liquid culture conditions supported the maintenance of a stable tissue structure for 12 days. This model could be suitable for the study of therapies for mouse‒damaged endometrial tissue in vitro with a duration of up to three estrous cycles.
Preparation of NaA and NaY zeolites from kaolin and their use as adsorbent for the removal of Ni2+ and Co2+ in aqueous solution
Authors:   University of Science, Vietnam National University Ho Chi Minh City, Vietnam, Hoai Phuong Duy Nguyen , Phuoc Hieu Nguyen ,   University of Science, Vietnam National University Ho Chi Minh City, Vietnam, Thanh Quang Le ,   Vietnam Academy of Science and Technology, Institute of Chemical Technology, Ho Chi Minh, City, Vietnam, Cao Thanh Tung Pham ,   Vietnam Academy of Science and Technology, Institute of Chemical Technology, Ho Chi Minh, City, Vietnam, Tu Thanh Le ,   University of Science, Vietnam National University Ho Chi Minh City, Vietnam
Published: January 2024

Heavy metal ions can cause environmental problems and affect human health if they are not properly removed before waste water released into the environment. Adsorption is one of the most widely used method for removal of heavy metal ions due to its simplicity and efficiency. Among many adsorbents, NaA and NaY zeolites showed good ability to remove metal ions in aqueous solution due to their high ion exchange capacity. However, the cost of zeolites NaA and NaY, synthesized from pure chemical sources, is still quite high. Therefore, this paper presented the synthesis of NaA and NaY from kaolin, a commercial available and cheap material. Experimental results showed that kaolin calcined at 500°C was appropriate to be used as and source for synthesis of zeolite. NaA and NaY zeolites were synthesized by reaction at 100°C in 24 hours. NaA zeolite was synthesized in a gel with the molar ratio in term of 1.0 Al2O3/2.0 SiO2/1.6 Na2O/76 H2O and NaY zeolite was synthesized with the molar ratio of 1.0 Al2O3/3.7 SiO2/2.7 Na2O/76 H2O with the addition of from industrial fly ash. XRD results of both synthesized NaA and NaY zeolites showed that the diffraction peaks of these zeolites matched with simulated XRD pattern of NaA and NaY zeolite. Synthesized NaA and NaY zeolites were used as adsorbents to remove Ni2+ and Co2+ in aqueous solution. NaY zeolite showed the highest adsorption capacity of 56.5 mg/g and 58.2 mg/g for Ni2+ and Co2+, respectively. NaA zeolite showed higher metal removal efficiency than that of NaY zeolite, with the highest adsorption capacity for Ni2+ and Co2+ at 80 mg/g and 123.2 mg/g, respectively. Experimental data fit the pseudo-second-order model and Langmuir isotherm adsorption model well. The results showed that the removal of Ni2+ and Co2+ ions by NaA and NaY zeolites was of the .