bluuebunny/crossref_metadata_2025 huggingface dataset:
Double Closed-Loop Control Strategy of LLC Resonant Converter Based on LADRC
Authors: Hao Faqiang , Guo Jining
Published: December 2023

LLC resonant converter, which is widely used in the charging of new energy vehicles, can achieve zero-voltage switching (ZVS) of the primary side MOSFET and zero-current switching (ZCS) of the secondary side rectifying diode. They also have the advantages of high efficiency and high-power density. The output voltage is still affected by input voltage fluctuation, reference voltage change, load mutation and other factors. The charging mode of automobile batteries with different materials is also different. In order to stabilize the output voltage and realize automatic switching of constant voltage and current, this paper proposes a double closed-loop linear active disturbance rejection control (LADRC) scheme. Firstly, the transfer functions of the system are obtained by extended description function (EDF) method and simulation method respectively. The transfer functions of the two methods are compared and analysed. Finally, the LADRC controller and PI controller are simulated and compared, and the dynamic performance of the control system is evaluated by ITAE index. The experimental results show that the output voltage of LADRC control is more stable.
Research on Crowd Location Algorithm Based on FIDTM
Authors: Yu Jingquan , Guo Lixin , Liu Hengshuai , Li Jianjun , Wang Yaping
Published: December 2023

Crowd localization task is one of the core tasks in the field of computer vision, and it has become a research hotspot in crowd scene problems in recent years. The main task is to predict the specific position information of each head in images or videos. On the basis of existing crowd localization methods, this article conducts further research on crowd localization based on the Focal Inverse Distance Transform Maps (FIDTM). The CAI-CAN convolutional neural network is used as a regressor for the truth map of the focus inverse distance transform in the crowd localization network to predict the predicted results. The LMDS module and K-nearest neighbor algorithm are used to obtain the head localization point map and head localization block diagram, respectively. Experiments were conducted on two mainstream public datasets, and the experimental results demonstrated the effectiveness, feasibility, and robustness of the proposed method. And using the same network structure to regress the density map generated based on Gaussian kernel, the comparison results show that the proposed method can still clearly distinguish the head distribution in extremely crowded scenes. In addition, the method proposed in the text was applied in practical scenarios, and video was collected from dense crowds at Baotou Railway Station and Inner Mongolia University of Science and Technology campus. The data was applied to the method proposed in this article, and excellent prediction results were obtained.
A Coupled CFD-DEM Simulation for Optimization of Tobacco Stems Separation Efficiency in a Cylindrical Separator
Authors: Tang Jun , Yi Bin , Lin Wenqiang , Wen Yadong , Xin Chengrong , Liu Yue , Yin YanChao , Zhou Bing
Published: December 2023

To remove the stem from the cut tobacco and improve the quality of the cigarettes, a second winnowing process is added to the primary separator to reduce the loss of the tobacco leaves. The separation effect of the high stem proportional tobacco stream coming from the primary winnowing process was simulated based on the CFD-DEM coupling method. Three different lengths of tobacco models were established to give a more realistic tobacco size distribution. The velocity contour in the circular chamber of the second separator with four different inlet speeds is illustrated to analyze the fluid field characteristic. The proportion of leaves and stems in the upper and lower outlets after winnowing was calculated to obtain separation efficiency. The results suggest a better separation effect with the inlet speed of 7.5 m/s at tobacco stream feed rates of 500 kg/h and 1000 kg/h.
Integrated Online Monitoring System for Predicting Battery State Based on PSO-LSSVM Model
Authors: Hu Yabo
Published: December 2023

By correcting the discharge current, discharge efficiency and the working temperature of the battery, the AC four-terminal method is used to detect the internal resistance of the battery, combined with the improved ampere-hour method and internal resistance method, based on PSO-LSSVM model, the online comprehensive evaluation method of the health state of the battery is put forward.
Impact of Top Management Team’s Transformational Leadership on Employee Cognitive Conflict Based on Evolutionary Game Theory
Authors: Zhang Linrong , Pan Xiaoqian , Wu Mengyun , Liu Ruiwen , Zhu Yuqing
Published: December 2023

This paper aims to investigate the impact of transformational leadership exhibited by top management team (TMT) members on the cognitive conflict experienced by employees in small and medium enterprises (SMEs). Drawing upon the theory of evolutionary economics, an evolutionary game model is constructed to analyze the strategic choices made by TMT members and employees. The findings reveal that cognitive conflict is most favorable when TMT members demonstrate transformational leadership and employees incur minimal costs while deriving significant benefits from their cognitive conflicts.
Security Analysis of Single Authentication Key Exchange Protocol
Authors: Du Meifang
Published: December 2023

To protect adjacent nodes in wireless sensor networks against malicious attacks, this paper puts forward a secure one-pass authenticated key establishment protocol based on computational Diffie-Hellman Problem on bilinear pairings. This protocol identifies the authenticity of participating node identities and agrees on an authenticated session key between any two adjacent sensor nodes, which can be used to establish a secure communication channel for secure data communication between trusted nodes. The analysis results of MKM protocol in eCK model show that the security model of the protocol limits the ability of the adversary to attack, it does not allow an adversary to obtain the long-term private key of the participating node through the queries, and the protocol does not possess security properties such as forward security, key-compromise impersonation resilience, etc.
A Novel Hybrid Model for Forecasting China Carbon Price Using CEEMDAN and Extreme Learning Machine Optimized by Whale Algorithm
Authors: Ni Li , Liew Venus Khim-Sen
Published: December 2023

The carbon market can provide economic incentives for manufacturing industry to reduce carbon emissions. This paper follows the idea of “primary decomposition- noise reduction-secondary decomposition- forecasting and integration”, the contribution is constructing a hybrid carbon price forecasting model using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Extreme Learning Machine (ELM) optimized by the Whale Optimization Algorithm (WOA). The results conclude that, the CEEMDAN-type secondary decomposition hybrid models have high forecasting accuracy, the WOAELM-type models can effectively reduce the forecasting errors. Noteworthy, the forecasting errors RMSE, MAE and MAPE of the proposed CEEMDAN-SE-CEEMD-WOAELM model are 2.587, 2.04 and 0.108 respectively, that is the lowest in all the comparative models. The forecasting accuracy and reliability of the proposed model have been convinced. Those findings can provide valuable reference for manufacturing industry to reduce pollutant emissions and take low-carbon investment.
A Quadratic-Spectrum-Based Radio Frequency Fingerprinting Method for Unmanned Aerial Vehicles
Authors: Li Tianjia , Xie Yuelei , Liu Xiangguo
Published: December 2023

With the increase of unmanned aerial vehicle (UAV) application scenarios, the incidents of UAV interference and malicious harassment are increasing, which pose a threat to public privacy and security. Aiming at the problem that UAVs are difficult to control, this paper proposes a radio frequency fingerprinting (RFF) method based on the quadratic spectrum. Firstly, the small window power detection is used to detect the transmission signal of the image to be recognized and extract the effective signal. The quadratic spectrum preprocessing is performed on the extracted signal, and finally, the improved VGG-16 deep convolutional neural network in this paper is used to extract the RFF information of the signal. The softmax classifier is used to classify and recognize the signal. The experiment is carried out in three steps, and the results prove that the combination of quadratic spectrum and improved VGG-16 deep convolutional neural network for RFF can complete a series of identification of “whether – what-which”, and the time consumed is shorter.
A Method for Extracting Planar Image Features Based on a Multi-Scale Feature Backtracking Network in Surface Machining
Authors: Hong Yun , Song Haotian , Li Xiaohong , Yang Shengjun , Hong Tao
Published: December 2023

This paper is supported by the Sichuan Science & Technology Program under Grant 2022YFG0070. Image feature extraction technology plays a very important role in the measurement and control process of industrial product processing, but currently it has problems such as low recognition accuracy. Aiming at the structural characteristics of the feature pyramid network, combined with the characteristics and requirements of image feature extraction in the measurement and control processing process, this paper proposes a planar feature extraction method based on a multi-scale feature backtracking network structure, that is, by introducing weights based on background judgment in the feature pyramid structure, accurate prediction of target location is achieved. We used the PCB Defect Dataset to verify and test the algorithm. The test results show that compared with other models, our model has improved detection accuracy by 10.7%.
Autoencoder-Based Wave Detection Technique
Authors: Jiang Peng , Yang Xiongchao , Lv Yun
Published: December 2023

Wave observation is a crucial subject for the shipbuilding industry. Due to human error and the difficulty to monitor for an extended period of time, traditional manual observation methods have been abandoned. Other expensive and vulnerable approaches include remote sensing inversion observation and wave instrument measurement. This article suggests a dynamic wave detection technique based on autoencoders as a solution to these problems. This technique extracts static information from video pictures using autoencoders and dynamic information based on the dynamic interaction between the images. In order to detect waves, the video’s dynamic and static information are combined. A kernel-based classifier is then utilized. In this study, the strategy is empirically validated using a wave video dataset , and the results show that the proposed method has good results.
Multi-Strategy Equilibrium Optimizer Based on Comprehensive Improvement
Authors: Sun Quandang , Zhang Xinyu , Jin Ruixia , Zhang Xinming , Zhang Hui
Published: December 2023

Improvement on the updating equation of an algorithm is among the most improving techniques. Aimed at the defects, such as insufficient search ability, high computational complexity and poor operability, of equilibrium optimizer (EO) in solving complex optimization problems, this paper proposes an improved EO, namely Multi-strategy on updating Synthetized EO (MS-EO). Firstly, a simplified updating strategy is adopted in EO to improve operability and reduce computational complexity. Secondly, an information sharing strategy updates the concentrations in the early iterative stage using a dynamic tuning strategy in the simplified EO to form a simplified sharing EO (SS-EO) and enhance the exploration ability. Thirdly, a migration strategy and a golden section strategy are used for a golden particle updating to construct a Golden SS-EO (GS-EO) and improve the search ability. Finally, an elite learning strategy is implemented for the worst particle updating in the late stage to form MS-EO and strengthen the exploitation ability. The strategies are embedded into EO to balance between exploration and exploitation by giving full play to their respective advantages. Lots of experimental results on the complex functions from CEC2013 and CEC2017 test sets demonstrate that MS-EO outperforms EO and quite a few state-of-the-art algorithms in search ability, running speed and operability.
Integrated Analysis of China’s Export Trend Forecast for Chinese Herbal Medicines and Proprietary Chinese Medicines
Authors: Liu Xin , Xia Fang , Gao Shiyu , Xu Ziying , Cai Yiguo , Zhao Zhe
Published: December 2023

This study aimed to conduct an integrated forecasting analysis of China’s export of Chinese herbal medicines and proprietary Chinese medicines through the GM(1,1) gray forecasting model and the ARIMA forecasting model. The data of the study is the export value of Chinese herbal medicines and proprietary Chinese medicines from 2002 to 2021. The analysis found that China’s export of Chinese herbal medicines and proprietary Chinese medicines shows a stable upward trend, and the integrated forecast results show that the export value of Chinese herbal medicines and proprietary Chinese medicines will reach US$177,801,180,000 in 2028. The forecasting accuracy of the two models is examined to be superior, the model fits the data well, and the precision of the forecasting results is credible, which can be used in the research of import and export forecasting of Chinese medicine industry.
Research on Nonlinear Trajectory Tracking Control Method for Autonomous Vehicles
Authors: Xie Jinli
Published: December 2023

The trajectory tracking model of autonomous vehicles is usually simplified to a linear model, and then the matching controller is designed. However, the simplification process of the model requires a lot of assumptions, which are difficult to be established. For this reason, a nonlinear trajectory tracking control method is proposed. Firstly, a system error dynamics model is established based on the vehicle kinematics model and dynamics model, and the steady state control law for the vehicle trajectory tracking control is deduced on this basis. Then, the compensation control law based on the vehicle lateral displacement error is further designed to improve the system’s anti-interference. The effectiveness of the proposed control method is verified by comparing with the commonly used controllers for vehicle trajectory tracking, and the results show that the control accuracy and convergence speed of the proposed control method are effectively improved.
On a Fuzzy Difference Equation Based on Generalized Division
Authors: Jia Lili , Zhang Qimin , Wang Changyou , Li Lian
Published: December 2023

In this work, a second-order fractional fuzzy difference equation is investigated. Firstly, the fuzzy difference equation is transformed into the corresponding ordinary difference equations with parameters based on the fuzzy set theory and generalized division of fuzzy number. And then, the existence and uniqueness of the solution for the ordinary difference equations are proved by the mathematical induction, the mixed iteration method and the inequality technique. Finally, the existence and uniqueness of the solution for the fractional fuzzy difference equation is obtained.
Numerical Simulation of Bifurcation and Dynamical Behavior in A “d-modulation” NH3 Laser
Authors: Yans Senlin
Published: December 2023

This paper reports out a novel study of production of chaos in a NH3 laser by adjusting the frequency detuning of the molecule vibration frequency of laser gas and laser oscillation frequency, which is named as “d-modulation”. Its technical proposal is that the variation of the frequency detuning results from the variation of the molecule vibration frequency of the gas being excited by microwave or ultrasonic wave, in physics. Then, based on Zeghlach-Mandel model, this paper presents a chaotic laser mode of a “d-modulation” NH3 laser to how to product chaos. To study bifurcation and dynamics in the laser, we use a bifurcation diagram to present a path to chaos, and discuss detailedly the evolution of dynamical behaviour from a stable state passing through a bifurcation to chaos. And numerical bifurcation diagrams exhibit an unstable state from a stable state passing through bifurcation to chaos by adjusting the pump rates and the frequency detuning of NH3 laser. The chaotic regions, unstable regions, and stable regions are found in the distributions of the pump rate and the frequency detuning of NH3 laser. It can be found that the frequency detuning or the molecular vibration frequency of the laser gas affects obviously laser bifurcation and dynamics. And the laser is very sensitive to the frequency detuning, and which results in beating and quasi-period. The study of laser gives an important value to study laser systems, chaotic optics emitters, random optics signal generators, precision optics measuring devices, and optic encoding communications.
Crop Disease Detection Method Based on Improved Yolov5 Algorithm
Authors: Bai Mingyu , Wang Qingfang
Published: December 2023

Corn, as a macronutrient-rich crop, has become one of the indispensable foods worldwide. But crop diseases have a great impact on corn yield, so timely treatment of crop diseases and pests can improve crop yield to a certain extent. In this paper, we propose an improved computer vision-based Yolov5s algorithm for maize leaf disease detection to achieve efficient corn leaf disease identification. We replace the feature pyramid network structure in the Yolov5s structure with a weighted feature pyramid network structure, using this weighted feature network can better fuse the features. That improves the efficiency of the extracted features and improves the detection accuracy of the model for small targets. At the same time, we optimize the loss function of the model, which makes the algorithm have some improvement in convergence speed and localization accuracy. We compare the dataset on different target detection algorithms for comparison experiments. The improved algorithm of this paper can improve the detection accuracy while retaining a faster detection speed, and it can detect more diseased targets in a shorter period.
Analysis of the Development Level and Obstacles of Agricultural Rural Modernization in Guangdong Province
Authors: Wu Peixin , Zheng Jiatao , Feng Lichang , Zhou Yang
Published: December 2023

Based on the relevant connotation of rural revitalization strategy and existing research results, this paper comprehensively uses the entropy weight method, comprehensive index measurement model, overall regression model and obstacle model, selects 29 representative indicators from five dimensions of rural industrial modernization, rural ecological modernization, rural cultural modernization, rural governance modernization and rural life modernization, constructs an index system, evaluates and analyzes the development level of agricultural and rural modernization in Guangdong Province from 2011 to 2020, predicts the future development level, and detects the obstacle factors. The results show that from 2011 to 2020, the level of agricultural and rural modernization in Guangdong Province has entered the late stage of upgrading from the development stage of Chinese-style modernization, and has developed rapidly. Through the overall regression model, the level of agricultural and rural modernization in Guangdong Province will enter the sprint stage in 2040, and the modernization of Chinese-style agriculture and rural areas will be basically realized in 2050. According to the degree of obstacles, the impact of rural ecological modernization and peasant life modernization on the development of agricultural and rural modernization in Guangdong Province is more obvious, followed by the impact of rural industrial modernization, rural governance modernization and rural cultural modernization.
Simulation Based Design and Development of a Wireless Inductive Charging System for an Electric Vehicle
Authors: Vilain Alexis , Khan M.K.A. Ahamed , Mokayef Mastaneh , Tiang Sew Sun , Lim Wei Hong
Published: December 2023

In this study, the simulation-based design and development of a wireless inductive charging system for an electric vehicle using Matlab-Simulink is presented. First, existing chargers are compared to extract some specifications. Secondly, design and simulation on Matlab-Simulink are performed. Finally, a small rendering study is performed.
Numerical Optimized Control of Object with Hysteresis with Smoothing Deviation
Authors: Zhmud Vadim
Published: December 2023

Controlling an object containing a nonlinear element with hysteresis in its mathematical model is an extremely difficult task. In some cases, it is possible to control nonlinear objects using the sliding mode method, but this method is completely unsuitable if there is a pure delay in the object model, since the delay does not allow very fast switching with an extremely small amplitude in the system. Ideally, the oscillations should be negligible due to fast switching, but due to the influence of the delay, these oscillations have a period of at least twice the value of the delay, and therefore the amplitude of such oscillations increases. In addition, the parameters of these oscillations remain uncontrollable when using design methods focused on organizing the sliding mode. It is much more effective to introduce forced oscillations into the control loop by introducing a small deviation into the control signal. It is intuitively clear that the amplitude of the signals of this deviation should be close to the hysteresis value, however, the choice of the amplitude and frequency of this deviation can greatly affect the control result, and there are no analytical algorithms for such a choice. The task is complicated by the fact that an element with hysteresis, as a rule, always itself has some dynamic properties, that is, it has both a non-zero signal propagation time and a dependence of the signal amplitude on frequency, so changing the frequency of the deviation signal will require changing its amplitude. The article proposes a solution to this problem of controlling an object with hysteresis in a circuit having dynamic properties by means of numerical optimization, while not only the coefficients of the controller used are subject to calculation by this method, but also the amplitude of the smoothing deviation signal, and the selection of the deviation frequency is carried out by an iterative procedure. Simulation and optimization confirm the effectiveness and robustness of this controller design method.
Study on the Resonance of Network Public Opinion Based on Langevin’s Equation
Authors: He Yuan , Zeng Sheng , Gao Xing
Published: December 2023

Purpose/Significance: The resonance of Network public opinion is a phenomenon of public opinion superimposed with the development of network technology, social platform. Emotions of net users are ‘ignited’ again in the stimulation of the events similar to the original subjects or issues are raised again although the current public opinion should be in the declining period. Therefore, the situation of the emotional resonance effect of 1 + 1 > 2 occurred commonly. However, most researches on network public opinion focus on the definition and the evolution path analysis of single public opinion and the studies on emotional resonance of net users are relatively few. Method/Process: The paper intends to establish the network public opinion emotional resonance model based on the Langevin’s equation in physics, in order to study the resonance of net users’ emotion in the process of network public opinion evolution, with the regional culture, the crowd characteristics, the intervention of the government and the network media, and other factors as regulatory variables. The data was collected from the 2013 Hepatitis B Vaccine and 2016 Shandong Vaccine. Result/Conclusion: The results presented that the model designed is basically consistent to the data calculation.
Design of a Robotic Vehicle to Avoid Obstacle Using Arduino Microcontroller and Ultrasonic Sensor
Authors: Goswami Shankha Shubhra , Sahoo Sushil Kumar
Published: December 2023

This project depicts an obstacle-evasion robot vehicle restricted by an ultrasonic sensor. The Arduino microcontroller drives the robot prototype car, which employs an ultrasonic sensor for obstacle detection. This sensor is mounted on the vehicle’s front and two sides. The sensor receives data from the robot’s attached sensors once the encircling zone begins. The sensor detects the impediment and proceeds to choose an impediment-free path. The sensor will convey the command to the controller and is distinguished from the controller by selecting the appropriate motion for the robot wheel. The vehicle wheel’s advancement and direction will now be determined by the identification of the ultrasonic sensor and the use of a wheel encoder. This vehicle is used to detect obstructions and avoid their effects.
Statistical Analysis of Measured Sucrose Solubility, in Complex System and Its Prediction with UPDH Model
Authors: Abderafi Souad , Abed Yamina
Published: December 2023

The sucrose solubility was measured at atmospheric pressure, for complex system, at temperature equal to 70°C. The complex system was assimilated to industrial sugar juices characterized by four pseudocomponents impurities; those are invert sugar, amino acid, carboxylic acid and ash. The variation intervals of these impurities were chosen proportionately small as in industrial sugar juices. The analysis of the experimental results, carried out using the Pareto diagram and the ANOVA test, shows the main effect of the composition of reducing sugar, ash and water with a contribution of 90% of total effects on the sucrose solubility and a correlation coefficient of 98%, without any interaction effect between the different variables studied. The UNIFAC Pitzer Debye-Hükel (UPDH) model was used to predict experimental sucrose solubility, in complex system. Some binary interaction parameters available in the literature were exploited and new others were estimated in this work. The model describes the experimental sucrose solubility in complex system, with mean absolute error of 3% and maximum error of 7%.
The Application of Image Classification Algorithm Based on YOLO in Digital Media Image Processing
Authors: Ding Yanjun
Published: December 2023

Digital media technology plays an important role in helping people to better access, disseminate and share information, promote people’s communication and interaction, and promote the development and progress of society. Image classification is one of the important technologies of digital media. It is of great significance to improve the development and progress of image classification algorithm in digital media technology. However, the existing image classification algorithms generally have the problem of insufficient flexibility or accuracy. Based on this, an image classification algorithm based on YOLO technology is proposed in this paper. In order to reduce the training cost of the model, the standard convolutional module and feature extraction network in the original model are replaced by a depth separable convolutional module and a lightweight network MobileNetV2. Secondly, an image preprocessing method is proposed to locate and cut out the workpiece area in the image before input detection network. Then, a new data enhancement method was introduced to avoid the poor performance of the original mosaic data enhancement method in this data set and to prevent the over-fitting of training. In order to accelerate the training convergence, the model was pre-trained by transfer learning. Finally, the reliability of our model is verified on the real data set.
Classification of Gestational Diabetes Using Machine Learning Techniques
Authors: Comlan Maurice , Alokpo Manuela
Published: December 2023

In this work, we characterized the association of diabetes with pregnancy and developed a classification system for gestational diabetes based on machine learning models. Using statistical data, we can predict whether or not a patient has gestational diabetes based on certain attributes: age, number of pregnancies, insulin levels, etc. This allows the patient to seek medical attention quickly to reduce the risk of complications from this disease on her health. To achieve this goal, we proposed a method of data classification using supervised learning techniques: KNN, decision tree, and Random Forest. First, we will use Machine Learning tools (Google Colab) to create and train our algorithm, then evaluate its effectiveness and accuracy. In the second phase, we will use our model to predict cases of diabetes.
Fuzzy-enhanced adaptive multi-layered cloud security framework leveraging artificial intelligence, quantum-resistant cryptography, and fuzzy systems for robust protection
Authors: Niyasudeen F. , Mohan M.
Published: December 2023

With the growing reliance on cloud computing, ensuring robust security and data protection has become a pressing concern. Traditional cryptographic methods face potential vulnerabilities in the post-quantum era, necessitating the development of advanced security frameworks. This paper presents a fuzzy-enhanced adaptive multi-layered cloud security framework that leverages artificial intelligence, quantum-resistant cryptography, and fuzzy systems to provide comprehensive protection in cloud environments. The proposed framework incorporates data encryption, access control, and intrusion detection mechanisms, with fuzzy logic systems augmenting the decision-making process for threat detection and response. The integration of artificial intelligence and quantum-resistant cryptographic techniques enhances the framework’s adaptability and resilience against emerging threats. The implementation of fuzzy systems further improves the accuracy and efficiency of the security mechanisms, ensuring robust protection in the face of uncertainty and evolving attack vectors. The fuzzy-enhanced adaptive multi-layered cloud security framework offers a comprehensive, adaptable, and efficient solution for securing cloud infrastructures, safeguarding sensitive data, and mitigating the risks associated with the post-quantum era.
In silico antibacterial, anticancer, antioxidant, antidiabetic activity predictions of the dual organic peroxide 2,5-dimethyl-2,5-di(tert-butyl peroxyl)hexane
Authors: Abd El-Wahab M. , El-Desouky M.G.
Published: December 2023

In this search organic peroxide has been studied for its potential biological activities in various fields, including medicine and biotechnology. Molecular docking studies have been conducted to predict the binding between organic peroxide and certain biological targets, such as the breast cancer receptor 3hb5-oxidoreductase and the prostate cancer mutant 2q7k-Hormone. The docking results indicate potential interactions between peroxide and these targets. In addition to its potential cytotoxic activity, organic peroxide has been investigated for its antidiabetic activity. The docking results suggest that peroxide binds to the active site of enzymes involved in diabetes, such as α-amylase, pancreatic lipase, and β-glucosidase, with low binding energies. This indicates a potential role for peroxide in the treatment of diabetes. Furthermore, the interaction between peroxide and the antioxidant protein IHD2 (2HCK) has been explored. These computational studies suggest a possible pharmacological role for peroxide in the treatment of Helicobacter pylori (H. pylori) infection. The docking energy between peroxide and Helicobacter pylori adhesin HopQ type I bound to the N-terminal domain of human CEACAM1 indicates that peroxide could be a potential target to inhibit H. pylori infection. It’s important to note that these findings are based on computational methods and molecular docking studies. Further research, including in vitro and in vivo experiments, would be necessary to validate these findings and fully understand the potential benefits and limitations of peroxide in these applications.
RANCANG BANGUN ALAT DETEKTOR FORMALIN PADA TAHU PUTIH MENGGUNAKAN SENSOR GAS
Authors: Ardiansyah Adi
Published: December 2023

Menurut data dari BPOM pada tahun 2012 bahwa kasus keracunan yang diakibatkan karena mengonsumsi makanan mencapai 66,7%. Penelitian pembuatan mesin bertempat di kediaman peneliti jalan jupiter nomor 20 Tlogomas, Kecematan Lowokwaru, Kota Malang, Jawa Timur, Metode penelitian ini dilaksanakan dengan tahapan meliputi perancangan mesin, perakitan alat komponen-komponenya dan penguian mesin, perancangan mesin dilakukan dengan mendesain mesin dengan menggunakan AutoCAD. Setelah semua alat komponen sudah dirangkai dan program arduino uno sudah siap untuk dilakukan dengan pengujian mesin terhadap senyawa murni formalin dengan analisis ploatting principal componenet analisis (pca). Hasil uji mesin pendeteksi terhadap senyawa formalin pada tahu menunjukkan bahwa mesin pendeteksi formalin sudah cukup mampu untuk mendeteksi seyawa formalin pada tahu dimana memiliki sensor gas yang sangat respon dan optimal terhadap senyawa formalin. Untuk sensor gas yang paling baik digunakan adalah sensor TGS-2600 dan MQ-8. Sedangkan sensor yang lain seperti MQ-3, MQ-4 dan MQ-138 masih kurang baik dan respon terhadap senyawa formalin pada tahu.
The problem of the development of land relations in northern Kazakhstan in the second quarter of the 19th – 50-60s of the 20th centuries: historiographic analysis
Authors:   Saken Seifullin Kazakh Agrotechnical Research University, Nurbay K. , Alpyspaeva G. ,   Saken Seifullin Kazakh Agrotechnical Research University, Aubakirova Kh. ,   Saken Seifullin Kazakh Agrotechnical Research University
Published: December 2023

The article presents a historiographical overview of the history of land relations in northern Kazakhstan in the period from the second quarter of the 19th century to the 50-60s of the 20th centuries. In the scientific study of the problem, the authors conventionally identify several periods, each of which differs not only in the thematic range of issues being studied, but also in the formulation of problems, and scientific approaches to assessing the state’s land policy. Following the principles of scientific objectivity and historicism, the authors consider the history of the study of land relations in the Northern regions of Kazakhstan as a process that has a certain direction and dynamics of development. The systematic approach used by the authors to the analysis of historical facts and events makes it possible to study land relations as an important component of the country's socio-economic system. Based on a critical analysis of the works of pre-revolutionary, Soviet and post-Soviet authors, it is concluded that the problem of the development of land relations in the northern region of Kazakhstan in the chronological period under consideration has not been fully studied from the standpoint of continuity and continuity of historical processes, from the point of view of the relationship between traditional and modernist views on this problem, as well as assessing the role of the local Kazakh population in the ongoing agrarian changes. The necessity of studying the history of land relations in the context of the theory of adaptation of Kazakh nomads to new economic conditions, which makes it possible to study the features and consequences of agrarian modernization in the region, is substantiated.
The land management policy of the Soviet state in Kazakhstan in the 1920s-1930s (based on materials from the Irtysh region)
Authors:   Shakarim University, Oralbekova A. , Abenova G. ,   Shakarim University, Botabekova A. ,   Shakarim University
Published: December 2023

This article delves into Soviet land policy and land regulation, focusing on the 1920-1930s. It aims to clarify land use standards in the Irtysh region and analyze land assessment processes, structure, and outcomes. The study also addresses overlooked aspects like class-based conflicts and local disputes over land during development. The primary information source is the Documentation Center for Contemporary History of the Abay Region. It augments historical analysis of land matters, social dynamics, and intercultural interactions with unpublished data. Since 1926, Kazakhstan has been a sought-after resettlement destination, akin to the Russian Empire era. The Irtysh region was a key area for seeking additional land resources. This involved lowering norms for livestock farming, and reallocating surplus lands for agricultural growth and population relocation. The Soviet government sought to rectify the disparities in colonial land policy from the Russian Empire era. Initial attempts were made to grant land to those liberated from colonial oppression and to set land regulations while assessing available resources. However, it was later recognized that these measures were not effectively carried out. In particular, the implementation of land reform in the Irtysh region encountered difficulties and advanced unevenly.
Sistem Informasi E-Presensi Mahasiswa Menggunakan Qr Code Program Studi Sistem Informasi Universitas Indo Global Mandiri
Authors: Pratama Ahmad Daniel , Ariati Nining , Kesuma Hendra Di
Published: December 2023

Technology in these days have grown so fast. Many tools have been designed to make people's lives easier, one of which is quick response codes (QR codes). Qr code is one of the raster codes that is made to help scanning tools to deliver and receive data in a fast way Qr codes are used to support the process of presence database management. The main component of this system is a webcam that acts as a scanner to read  QR codes that will be filled by primary key from the student database. To run this website system, it uses hypertext prepocessor (PHP) with framework codeigniter. The result from the test, application system that is done by administrator has succeed and can be run based on the first plan, that is to help the presence process effectively and efficiently.
Lei dos 60 Dias: Realidade do Tratamento Tempestivo na Análise de uma Série de Casos de Câncer Colorretal
Authors: Zago Pulido José , Carrupt Machado Sogame Luciana , Aleixo Sabina Bandeira
Published: December 2023

Introdução: A Lei 12.732/12 determina que o primeiro tratamento oncológico ocorra em até 60 dias após o diagnóstico. Objetivo: Verificar o cumprimento da lei em pacientes com câncer colorretal (CCR) tratados no Hospital Evangélico de Cachoeiro de Itapemirim (HECI). Método: Estudo transversal com coleta de dados retrospectivos do Sistema de Registro Hospitalar de Câncer (SisRHC HECI) no período de 2010 a 2017 para identificar o primeiro tratamento após diagnóstico. Foi realizada análise descritiva e utilizado o teste qui-quadrado para avaliar a diferença do tempo entre o diagnóstico, ≤ 60 dias ou > 60 dias, e o primeiro tratamento oncológico. Resultados: Foram identificados 585 casos de CCR, a maioria em homens (52,8%), classificados em estádios III e IV (60%), localizados no cólon (65%), com idade entre 51 e 80 anos (70,5%), e 71% receberam primeiro tratamento em até 60 dias. Na análise univariada, os casos com idade ≤ 50 anos e com tumores localizados no cólon tiveram maior probabilidade de receber o primeiro tratamento em até 60 dias (p < 0,05). O tempo médio entre a data do laudo histopatológico e a primeira consulta foi de 51,06 dias e o tempo médio entre a primeira consulta e o primeiro tratamento foi de 30,10 dias. Conclusão: Quase um terço dos pacientes não recebeu o primeiro tratamento conforme preconizado pela lei. Pacientes mais jovens e com tumor localizado no cólon tiveram probabilidade maior de receber o primeiro tratamento em até 60 dias. O tempo para a primeira consulta com especialista da Unidade de Assistência de Alta Complexidade em Oncologia (Unacon) parece ser o principal fator de atraso do primeiro tratamento.
Responses, coping strategies and needs of primary and secondary caregivers of children with visual impairments in Namibia
Authors: Haihambo Ya-Otto Cynthy K. , Tobias Elina I. , Mashego-Brown Antony
Published: December 2023

Since becoming signatory to the Salamanca Declaration in 1994, the Namibian education system has been battling with the implementation oj inclusive education. It is taking the country a lot of efforts to move towards inclusive education approaches as the process is faced with various challenges including a lack of a commonly agreed upon conceptual understanding of inclusive education by stakeholders; lack of human and material resources and clinging to segregated approaches by stakeholders. One effort to implement inclusive education was to include learners with visual impairments in mainstream education systems. At the same time, special schools for learners with severe special needs continue to function and receive high preference from parents and caregivers. Teachers in mainstream schools do come across learners with visual impairments in their classes. In special schools into which learners with visual impairments are integrated, teachers also have the primary duty to teach all learners, including those with visual impairments even if they have not specialized in the field of visual impairment. While teachers have their own share of experiences related to their roles as teachers of learners with visual impairments, parents have experiences which influence their decisions to accord or withhold their children from education and social participation. In the current paper, which draws from two separate research exercises, one . that focused on teachers' experiences and another on parents' experiences,primary and secondary caregivers share their experiences of caring for children with visual impairments through the narrative approach. The researchers simply represent and re -tell those stories.
Factors influencing academic performance in Basic Business Statistics course at Polytechnic of Namibia
Authors: Pazvakawambwa Lillian , Ngololo Elizabeth Ndeukumwa , Dumeni Efraim
Published: December 2023

The Polytechnic of Namibia offers the Basic Business Statistics course for all its undergraduate registered students for the Bachelor of Technology degrees in Business Administration, Public Administration ,Marketing, Human Resources Management and Economics programmes as part of their curriculum requirements, on full-time, part-time and distance education (open learning) basis. Academic performance in this course is generally poor, leaving a lot of students with the Basic Business Statistics Course outstanding even after their final year of study, thus delaying their graduation.This paper seeks to the determinants of the students' performance in this course by fitting a binary logistic regression based on the population of distance students who enrolled for the course in the first semester of 2012. The dependent variable is the performance or final result (Pass or Fail} for the Basic Business Statistics course. The independent variables include gender of student, Matric Score (Moths, English), home language, and degree programme.
Effective teaching practices from the perspective of Kilpatrick, Swafford and Findells (2001) model
Authors: Stephanus Gervasius H.
Published: December 2023

This paper presents findings from a broader PhD study that was undertaken at Rhodes University. The purpose of this qualitative case study was to explore and analyse the Geometry teaching practices of five purposefully selected secondary school teachers in Namibia who are regarded as effective mathematics teachers by the broader professional community including teachers, education ministry officials and University of Namibia lecturers. It also aimed to understand teachers’ perceptions of factors that contributed towards their effective teaching of geometry. The selected case study schools where the teachers taught were representative of high performing Namibian schools in terms of learners’ mathematics performance in the annual national examinations. This investigation was done through a process of classroom observations where the teachers’ instructional practices were observed and analysed using an adapted model of teaching for mathematical proficiency as developed by Kilpatrick, Swafford and Findell (2001) and an enactivist theoretical perspective. The study also used open-ended and semi-structured interviews with the five participating teachers. These interviews took the form of post lesson reflective and stimulated recall analysis sessions with the participating teachers. In this paper, we only focus on the qualitative analysis of videotaped geometry lessons taught by three teachers. We analyse vignettes of selected lessons for effective teaching using the five strands of the Kilpatrick’s model for proficient teaching. The analysis indicated that conceptual understanding (CU), procedural fluency (PF) and productive disposition (PD) were reflected regularly by all three teachers. However, the development of strategic competence (SC) or adaptive reasoning (AR) appeared relatively rarely. We observed many occasions where Namibian students were engaged in conceptually rich mathematical activities or invited to solve authentic problems. The tentative conclusion of the study is that the instructional practices enacted by the participating teachers, who were perceived to be effective, aligned well with practices informed by the five strands of the Kilpatrick’s model.
Assessment practices in Africa today
Authors: Condy Janet
Published: December 2023

The 1990 Jomtien World Conference ‘Education for All’ and the 2000 World Education Forum in Daka encouraged governments in developing countries to shift their emphasis from measuring outcomes to establishing the extent to which their education systems could provide quality in education (Howie, 2012, p. 81). Within the global economy, governments are held responsible for providing adequate education. This increased political pressure has led to direct links between national economies and education. The purpose of this paper is to identify tensions found in the various types of literacy and numeracy assessments within Africa; from large international high-stakes testing to local classroom formative and summative assessments. Four high-stakes tests commonly found in Africa are discussed. They are: school-leaving exams which assess all subjects at Grade 12 level; Trends in International Mathematics and Science Study (TIMSS); The Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ); and, finally, the Progress in International Reading Literacy Study (PIRLS). I discuss four principles of summative and formative assessments based on the work of Johnston and Costello (2005, p. 256-265). They include: assessment as a social practice, minds in society, representation and interpretation and, lastly, practices of teacher assessments.