bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of flexural oscillations of the shaft of saw cylinder on the elastic bearing supports of the fiber cleaner
Authors: Dzhuraev A A , Maksudov R Kh , Holdorov Sh S , Tukhliev A
Published: December 2022

The results of analysis of flexural oscillations of the shaft of saw cylinder on the elastic bearing supports of the fiber cleaner are presented in the article. A design diagram, a mathematical model of flexural oscillations of the shaft of saw cylinder on the elastic bearing supports of the fiber cleaner are given. Analytical and numerical solutions of the problem of oscillations of the saw cylinder shaft are given. The main parameters of the system are substantiated.
Study of the effect of the speed of the receiving drum of the carding machine on the properties of the thread
Authors: Mardonov S E , Toshpulotov L I , Muminov Q M
Published: December 2022

The purpose of the study of scientific work is to study the possibilities of improving the quality of the combined tape and the performance of the carding machine, determining the effect of the receiving drum on the quality of the thread. The speed (rotating frequency) of the take-up drum, acting on the properties of the fibers, directly leads to a change in the properties of the tape and thread.
Hydrodynamic model of motion control of pulsiting flow of two-phase media in a pipe
Authors: Abidov Kamildjan , Ergashev Bakhtiyor
Published: December 2022

The scientific research illustrates that theoretically investigates the issues of optimization of the process of controlling the movement of two-phase media in a pipe based on the theory of interpenetrating media. The optimal parameters of the flow in the process of pulp transportation have been determined.
Simulation of radio-frequency heating and fast-ion generation in Wendelstein 7-X
Authors: Slaby C. , Machielsen M. , Lazerson S. , Graves J.P.
Published: December 2022

The next scientific operation phase of Wendelstein 7-X (W7-X) is scheduled to begin in late autumn of 2022 and will, for the first time, include experiments in which the ICRH (ion-cyclotron-resonance heating) antenna will be used.

In addition to heating the plasma, this system will generate fast ions and thus offers a new way to assess fast-ion confinement in a stellarator such as W7-X. The first plasmas that will be used for the upcoming ICRH operation will be Helium-4 plasmas with a small Hydrogen minority on the order of about 10%. In tokamaks such plasmas typically offer good power absorption and are thus considered a safe way for gaining first experiences with the new antenna in W7-X.

This assessment is confirmed by the SCENIC simulations carried out in this contribution that use profiles foreseen for the upcoming campaign as input. The simulations are carried out in the standard configuration of W7-X in low-beta (0.3% ≲ 〈β〉 ≲ 1%) plasmas. However, also scans over minority concentration and background-plasma density are performed. We find that the power absorbed by the Hydrogen minority directly from the radio-frequency wave is typically (provided that the minority concentration is not too high) on the order of about 90% with the rest going to the electrons. Very little power goes to the Helium-4 ions. Under the present simulation conditions only fast-ion energies up to about E ≈ 50 keV can be reached.

Combining SCENIC and ASCOT simulations enables us to track lost particles through the scrape-off-layer to the 3D wall of W7-X and to compute wall loads caused by ICRH. The results show that the wall loads that can be expected from ICRH under the first operating conditions are benign.
Gyrokinetic Stability Analysis of JET Pedestal Top Plasmas with Small-ELMs
Authors: Dicorato M. , Muraglia M. , Camenen Y. , Garcia J. , Garbet X. , Frigione D. , Garzotti L. , Lomas P. , Rimini F. , Sozzi C. , Van Eester D.
Published: December 2022

In recent years, a strong effort has been dedicated to the development of tokamak plasma regimes alternative to the standard high confinement mode (H-mode) with type-I edge localized mode (ELM), i.e. ELM-free and small-ELM regimes, given the associated hardly sustainable energy and particle fluxes on plasma facing components.

In this work, we will focus on new H-mode regimes with small-ELMs, the so-called baseline small-ELMs (BSE), characterized by high thermal confinement and low core impurity accumulation, which have been recently found at JET. In order to characterize the micro-turbulence at play at the top of the pedestal, an extensive local linear gyrokinetic analysis with the GKW code has been carried out. In particular, a comparison between a reference type-I ELM (#97395) and two BSE plasmas (#96994 and #94442) has been performed.

The ion-scale (0.1 ≤ k

θ

ρ

i
≤ 2) micro-turbulence is found to have different characteristics in the two regimes. Indeed, kinetic-ballooning modes (KBM) are destabilized in the type-I ELM regime at k

θ

ρ

i
∼ 0.1, while they are stable in BSE regimes. In addition, negative (i.e. electron-diamagnetic-direction) frequency modes, identified as electron-temperature-gradient (ETG) modes, are destabilized at k

θ

ρ

i
∼ 1.5 in the type-I ELM regime while BSE regimes are characterized by positive (i.e. ion-diamagnetic-direction) frequency modes. Meanwhile, at electron-scale (10 ≤ k

θ

ρ

i
≤ 700) ETG modes are the dominant micro-instabilities in both regimes. Then, since BSE regimes are characterized by a higher impurity concentration at the pedestal, particular attention has been given to the role played by them. We found that impurities represent a critical player in the linear dynamics, strongly affecting the nature of micro-instabilities at ion-scale.
Kinematic viscosity estimates in reversed-field pinch fusion plasmas
Authors: Vivenzi N , Spizzo G , Veranda M , Bonfiglio D , Cappello S
Published: December 2022

This paper concerns the kinematic viscosity in reversed-field pinch fusion plasmas, including both the study of numerical magneto-hydrodynamics (MHD) simulations and the analysis of RFX-mod experimental data.

In the first part, we study the role of non-uniform time-constant radial viscosity profiles in 3D non-linear visco-resistive MHD simulations. The new profiles induce a moderate damp (for the velocity field) and a correspondent enhancement (for the magnetic field) of the spectral components resonating in the regions where the viscosity is higher.

In the second part, we evaluate the kinematic viscosity coefficient on a wide database of RFX-mod shots according to the transport theories of Braginskii (considering parallel, perpendicular and gyro viscosity coefficients), considering the action on viscosity of ITG modes (ion temperature gradient) and according to the transport theory of Finn. We then exploit the comparison with the visco-resistive MHD simulations (where the visco-resistive dissipation rules the MHD activity) to show that the classical Braginskii perpendicular viscosity produces the best agreement between simulations and data, followed by the Braginskii gyro-viscosity.
Statistics of Transport in the Vicinity of Lagrangian Coherent Structures
Authors: Dubuit N. , Agullo O. , Muraglia M.
Published: December 2022

Abstract. Transport properties of magnetic fluctuations, in particular the role of Lagrangian Coherent Structures, are investigated from a statistical point of view in a sheared magnetic field. It is shown that field lines escape a tube (jet) over a finite length which is independent of tube size. However this escape length is not uniform in a chaotic sea, and in particular is minimum (indicating maximal transport) in the vicinity of Lagrangian Coherent Structures. Combined with the fact that LCS are not fixed but vary in time and with the velocities of particles, this could reduce their effectiveness as transport barriers in cases where other transport processes exist.
Terrestrial Gamma-Ray Flashes at the Pierre Auger Observatory
Authors: Schimassek Martin
Published: December 2022

The Pierre Auger Observatory is designed to measure the highest energy cosmic rays. However, the surface detector, covering 3000 km2, is also sensitive to events associated with atmospheric electricity. These events can be distinguished from normal cosmic-ray events in both temporal and spatial structure. With signals lasting around 10 μs, they are about an order of magnitude longer than cosmic-ray events. Their circular footprints on the ground are also different and larger than those of typical cosmic-ray showers. Due to their association with thunderstorms and topology, these events are candidates for downward-going terrestrial gamma-ray flashes (TGFs). We show a detailed analysis of the effects that the data-taking system has on recording of TGF candidate events. Furthermore, we present a recently implemented special trigger algorithm aimed at increasing the data-taking efficiency for TGF candidates.
Transient Enhanced Mode design based on DC-DC Buck-Boost converter
Authors: Qiu Ziyi , Guo Zhongjie , Li Mengli , Shi Hao
Published: December 2022

With the rapid development of electronic products, a system may suddenly start operating from a dormant state. In order to provide a stable supply voltage to a system with a rapidly changing load and to improve the transient response of the DC-DC, a Buck-Boost type DC-DC with a Transient Enhancement Mode is proposed, which improves the transient response during load switching and reduces the overshoot/undershoot voltage and recovery time. The oscillator part can respond to different load transients and output different frequency clock signals to finally achieve fast charging and slow discharging of the inductor. The specific circuit design and physical implementation of the proposed method are verified based on a 0.18μm high-voltage BCD process. The test results show that the minimum overshoot/undershoot voltage can reach 40mV and the fastest recovery time can reach 14μs, and the transient voltage and recovery time are reduced by 66% and 88% respectively compared with the DC-DC design without a fast Transient Enhancement Mode.
Vehicle Real-time Condition Monitoring Based on CAN Bus
Authors: Wang Yuehao , Xu Jian
Published: December 2022

Because the automobile in the driving process there will be some hidden dangers, once the hidden dangers occur is likely to have a safety accident, then the driver’s safety will be endangered. In order to avoid this situation, this paper introduces multi-sensor communication under the CAN bus, using the CAN interface of STM32F103 MCU to transmit data with multi-sensor in real time. The high performance and reliability of CAN have been recognized, and it has been widely used in the field of automobile communication. It provides powerful technical support for the real-time and reliable data exchange of distributed control systems among nodes. Displaying the final result on the display when communicating with multiple sensors allows the driver to monitor the status of the car in real time and process it in the first place, providing a safety guide for driving.
YOLO-infrared: Enhancing YOLOX for Infrared Scene
Authors: Zhang Yao , Shen Ke Jiong , He Zhen Fang , Pan Zhi Song
Published: December 2022

Draw a bead on the specialty of infrared scenes and tackling the disequilibrium between positive and negative samples in object detectors, this paper introduces an object detection model for infrared scenes named YOLO-infrared based on YOLOX. This paper first analyses the shortcomings of the object detection model designed for the visible domain when applied to the infrared domain by visualizing the feature heat map of the YOLOX neck network. Considering the blurred edges of the target in the infrared image, which almost blends with the background in terms of colour and texture, with little distinction between pixel points at close distances, this paper first employs an attention module to extract the position relationship between distant pixels, which enhances the feature abstracting capacity of YOLOX. Finally, DR Loss is utilized to address the issue of positive and negative sample imbalance in the object detection process. The model YOLO-infrared proposed in this paper achieves 38.2% and 38.6% on the FLIR and KAIST datasets, respectively, which is at least 0.5% higher than the current SOAT detector.
Smart Home Environment Monitoring System Based on Microcontroller
Authors: Hu Chunzheng , Miao Fushuai , Ding Zeyu , Gong Wei
Published: December 2022

More than 90% of a person’s lifetime is spent indoors in a variety of activities, thus the parameters of the home environment affect human physical and mental health. With the development of Internet of things technology, people put forward new and higher requirements for the smart home. Based on the microcontroller, in this paper, we use multiple sensor systems to monitor various indoor environmental parameters, that is, to collect and display the environmental temperature, humidity, light intensity, CO concentration, and smoke concentration accurately and in real time. In the process of monitoring, the limits of various environmental parameters can be set artificially. Different types of alarms will be activated when one or several parameters are detected to exceed the limits. The microcontroller transmits the monitoring data to mobile terminals such as smartphones and others through Bluetooth modules, and the display interface is clear and intuitive. After testing, the system has the advantages of accurate measurement results, stable performance, and simple operation, which has a certain promotion and use value in smart home environment monitoring.
Automatic Depth Image Generation for Unseen Object Amodal Instance Segmentation
Authors: Wang Dongyu
Published: December 2022

This research proposes an automatic instance-wise depth image estimation method for Unseen Object Amodal Instance Segmentation (UOAIS), which predicts depth images automatically by sharing features of other prediction branches. The depth images can provide valuable information for amodal mask generation. To achieve good performance, the model estimates the depth images in two steps by adding two extra depth branches to the original UOAIS model. A new feature fusion scheme incorporating these two branches is also designed to facilitate information sharing between tasks. The new model is evaluated on OCID and UOAIS-Sim evaluation datasets. Compared with the performance of the original model with pure RGB input, the AP50 of the new model increases by 0.685% on the UOAIS-Sim evaluation dataset, and the overlap and boundary F measures increase by 2.3% and 1.6% respectively on the OCID dataset. Consequently, the model achieves similar performance to those which need RGB-D images as input. It has the potential to serve as a compromise plan for UOAIS if the collection of real scene-depth images is difficult or unavailable.
Deep Learning-based and Machine Learning-based Application in Skin Cancer Image Classification
Authors: Wang Xikun
Published: December 2022

Skin cancer arises from the skin and is capable of invading other parts of the body. The earlier detection of malignant skin lesions effectively helps cure skin disease and prevents fatal skin cancer. As part of AI, machine learning and deep learning can learn the characteristics of input datasets and perform classifications with high accuracy. In this paper, the CNN, KNN, and SVM models are implemented and tested based on the datasets collected from ISIC. The idea of the implementation is to classify the images of skin lesions into benign and malignant. The information of GANs based model is gathered. The results display the accuracy of using these models to classify different types of lesions. And the discussion of the results focuses on the efficiency to implement the machine learning and deep learning models and the accuracy of using them. The goal of the study is to figure out which method is more useful in skin cancer identification. And some of the possible practices are also discussed as future expectations.
rPPG Signal Measurement Based on Time-do-main Attention Network
Authors: Ding Wangyi , Chen Hao
Published: December 2022

The measurement of heart rate without touching the object being measured is referred to as “non-contact heart rate estimation.” Telemedicine, education, and a variety of other fields can all benefit from this approach, which is capable of achieving continuous heart rate measurement under certain conditions. The video segmentation network and the backbone network are cascaded in this paper’s cascaded heart rate estimation model. Adding temporal attention based on the existing 3D convolutional network model, the video segmentation network divides the video into multiple segments and fuses the relevant temporal features. It then sends the fusion results to the backbone network with the temporal attention mechanism. Mechanisms and modules like spatiotemporal convolution to make heart rate measurement more reliable and use a custom joint loss function to cut out other kinds of periodic signals’ influence. The trial results show the way that the proposed calculation can successfully lessen movement ancient rarity and light change clamor.Additionally, the dataset UBFC-rPPG demonstrates the model’s efficacy.
Research on Health Diagnosis Technology of Key Equipment in Coal Mine Power Grid
Authors: Li Zhong-kui , Wu Wen-zhen , Zhang Zi-Liang , Hua Dong
Published: December 2022

Aiming at the problem that the traditional fault monitoring method of mine power supply equipment is single and can not effectively reflect the real-time working state of equipment and cables, this project studies a comprehensive intelligent fault diagnosis and monitoring early warning technology method. Through the research of two key technologies, power quality analysis technology based on harmonic method and insulation condition monitoring technology of electrical equipment, an intelligent diagnosis system for the health condition of mine power supply equipment is designed and formed. Through real-time monitoring of power grid harmonic parameters, power grid operation parameters, insulation parameters, and temperature parameters, the system can comprehensively analyze and judge the working status of various equipment and connecting cables in the underground power grid to comprehensively judge the faults of high explosive switches, transformers, and connecting cables, and achieve the purpose of fault location and early warning.
Design and Prototyping of an Underactuated Index Finger Exoskeleton
Authors: Bo Jiacheng
Published: December 2022

At present, the rehabilitation treatment methods for hand dysfunction caused by stroke are mainly to reconstruct or improve the hand motor function of stroke patients through motor learning. To realize smooth motion without the interference of the underactuated hand exoskeleton system, this paper designs and manufactures an exoskeleton system in which a single motor drives the index finger MCP and PIP to rotate. The simulation results show that the system can realize 0-90° motion of MCP and 0-110° motion of PIP, and the motion is smooth and without interference. The system is prototyping by 3D printing. By testing the prototype, the actual movement range of the prototype is slightly smaller than the design index, and it can achieve the 0-90° movement of the MCP, but the PIP can only achieve the 0-90° movement. Through further research and analysis, it is determined that this phenomenon is caused by unreasonable motion coupling between MCP and PIP, inaccurate axial positioning, and offset of the rotation center of each joint. The system will be used as the basis for follow-up research and will continue to be optimized in combination with the problems shown in the actual wearing, and finally design and manufacture a complete set of underactuated hand exoskeleton systems that can move smoothly without interference.
Station-keeping of Stratospheric Aerostat with Receding Horizon Tree Search Planning Method
Authors: Xie Mengshan , Long Yuan , Deng Xiaolong , Yang Xixiang
Published: December 2022

The station-keeping property of stratospheric aerostat is significant for practical applications. In this work, we established the dynamics model of aerostat, then divided the wind fields into various layers according to the wind direction variation, which converted the data that wind speed continuously varies with height into a set of discrete wind layer sequences. After that, in order to realize station-keeping, the receding horizon tree search strategy was implemented to select the candidate wind layers. Finally, the station-keeping trajectory of the aerostat in dynamic wind fields was simulated. The results have shown that the proposed method could make the selection of the perpetual altitude more reasonable, and greatly reduce the computational complexity, effectively achieving the purpose of keeping the aerostat in a certain area.
Identification of Burned Areas Based on Texture Features of Different Windows
Authors: Wu Jinwen , Zhang Yushu , Sun Longyu , Ji Ruipeng , Yu Wenying , Feng Rui
Published: December 2022

It is vital to choose appropriate pixel spacing as the window size determines the distribution of texture features in a gray-level co-occurrence matrix (GLCM). The window size ranged from 9×9 to 15×15 to keep the richness of texture image information. In this study, the importance evaluation method based on the Gini index was used to determine the appropriate window for the identification of burned areas, and burned areas were identified with the random forest classification method based on texture features. The results showed that 15×15 was the most appropriate texture window size for the identification of burned areas, and the best texture features for the identification of burned areas were the contrast of the visible blue light band and the texture mean of the near-infrared band; burned areas could be fully identified with the random forest classification method based on texture features, with an overall classification accuracy of 83.87%, but there would be interference pixels in reservoirs, pits, ponds, marshes and irrigated dry fields.
Gram-Schmidt Remote Sensing Image Fusion Algorithm Based on Matrix Elementary Transformation
Authors: Zhang Shuang , Han Yifei , Wang Hua , Hou Daishuang
Published: December 2022

In the application of the Internet of vehicles, it is difficult for a single remote sensing image to have accurate spatial information and spectral information at the same time, so engineers must use image fusion to improve the utilization of remote sensing image information. Aiming at the shortcomings of low spectral resolution and relatively complex programming of traditional fusion algorithms, this paper proposes a Gram-Schmidt remote sensing image fusion algorithm based on matrix elementary transformation, which aims to improve the spatial resolution of multispectral images by using panchromatic images with high spatial resolution. The orthogonalization process of the algorithm in this paper uses the elementary matrix transformation, which is simple and easy to perform. The experimental results show that it can effectively improve the spatial resolution of the original image and has good spectral retention.
Extraction Method of Stand Density Based on High-Resolution Remote Sensing Imagery
Authors: Han Xuefeng , Xu Huan
Published: December 2022

In this paper, a stand density extraction method is proposed based on QuickBird high-resolution satellite image data of Baisha artificial forest farm in Minhou, Fujian. Firstly, through the analysis band canopy image of QuickBird panchromatic, it is known that there is a maximum reflectivity point in the canopy. Then, the vegetation-covered area was extracted by the normalized difference vegetation index ( NDVI ). The canopy image of the forest was extracted through the decision tree classification algorithm. The texture information and spectral information were comprehensively utilized to classify the images. Then, the number of stand trees was extracted by the maximum filtering method, and the stand density was calculated to produce the stand density map. The experiment verified that this method can meet the needs of a stand density survey.
Study on Short-term and Imminent Precipitation Prediction Model and Accuracy Evaluation Based on Depth Learning
Authors: Liao Yuanyuan , Yin Gang
Published: December 2022

In the field of weather forecasting, short-term precipitation forecast is still a global problem. The complicated mechanism of convective weather system, the medium and small scale weather system brings great difficulties to the forecast, which is difficult to detect, understand and forecast. The application of short-term precipitation forecast is still in the initial stage. At present, the optical flow method based on radar echo is widely used in short-term and imminent precipitation prediction, but the optical flow method has obvious limitations. In order to improve the forecast precision of short-term and imminent precipitation forecast model, this study introduces the method of depth learning to build the forecast model. The application of depth learning to short-term precipitation forecasting is still in its initial stage. We analyze the existing models may exist in the shortcomings of the proposed in-depth learning model combination of different ideas. By combining different network structures (such as CONVLSTM, CONVGRU, etc.), we can get a better combined forecasting model. It has certain application value.
Design and Analysis of Upper Limb Passive Exoskeleton Robot for Lift Assist
Authors: Ning Yeyan , Li Yunji , Zhang Zhenyu , Cai Jun , Wang Chunlei
Published: December 2022

. Exoskeleton robots are developing rapidly in the field of industrial manufacturing and medical rehabilitation as an intelligent wearable power assist device, which can reduce the lifting burden and muscle fatigue. Existing upper limb passive exoskeleton robots still need to be improved for human-machine integration. In this paper, by establishing a human kinematic model and a lumbar spine motion model, the lifting assist is analyzed, and the design principle of human-machine integration is used to complete the passive upper limb. In structural design, the exoskeleton robot is divided into 4 structural modules, combined with the specific motion form of the spring energy storage module to complete the cam curve design, and the EMG test system is used to collect the surface EMG of the user without wearing and wearing the exoskeleton robot. According to the signal EMG data, the experiment shows that the amplitude of the muscle EMG signal in the wearing state is smaller than that of the non-wearing muscle EMG signal, and the amplitude of the muscle activation amplitude varies from 0 to 10%, which verifies the effectiveness of the upper limb passive exoskeleton.
Speech recognition and hardware accelerator design based on hummingbird core
Authors: Weng Ziyi , Zhang Shiyu , Cheng Xiyuan
Published: December 2022

In recent years, with the rapid development of artificial intelligence, speech recognition has irreplaceable advantages in human-computer interaction. In human-computer interaction, we hope that speech recognition has the characteristics of fast recognition speed, high recognition accuracy, and strong flexibility. This paper develops a hardware accelerator based on a programmable gate array, in which the nucleic acid detection systems utilize voice to complete machine control. We use a traditional BP neural network to train the parameters of the speech recognition model, and it is successfully deployed on FPGA to realize speech recognition. The acceleration effect is significantly improved, realizing that the cycles used before acceleration are almost four times those used after acceleration.
ISAR Imaging Method for High-speed Maneuvering Target Based on MFT-UNET3+ Network
Authors: Li Wenzhe , Luo Ying , Wang Zhihao , Zhao Xiaochen , Li Yuan , Li Bo
Published: December 2022

When inverse synthetic aperture radar (ISAR) images a high-speed maneuvering target, the imaging results of traditional methods are blurred and defocused in the range and azimuth directions because of the high speed and acceleration of the target. The existing imaging methods of maneuvering targets have poor imaging effects or low efficiency, and can’t eliminate the migration through range cells (MTRC) of far points on the target. Given that the existing methods can’t meet the imaging requirements of high-speed maneuvering targets, a new method by combing the UNET3+ convolution neural network (CNN) to machting Fourier transform (MFT) imaging process is proposed in this paper. Overcoming the limitations of the existing imaging methods, the proposed method can realize fast and accurate imaging for high-speed maneuvering targets. Experiments show that the novel MFT-UNET3+ method can achieve a good focus even under the condition of a low signal-to-noise ratio and down-sampling.
Measurement of transverse beam emittance of split beams for the CERN Proton Synchrotron Multi-Turn Extraction
Authors: Russo G. , Cerutti F. , Esposito L.S. , Franchetti G. , Giovannozzi M. , Hunt J.R. , Huschauer A.
Published: December 2022

Crossing a horizontal nonlinear resonance is the approach that can be used to split a beam
in several beamlets with the goal to perform multi-turn extraction from a circular particle
accelerator. Such an approach has been successfully implemented in the CERN Proton Synchrotron and
is used routinely for the production of high-intensity proton beams for fixed-target physics at
the Super Proton Synchrotron. Recently, thanks to the deployment of diamond detectors, originally
installed to monitor the beam losses at extraction, it has been possible to measure the horizontal
beam emittance of the split beam just prior to extraction. This is the first time that an
emittance measurement is attempted for split beams, i.e. in a regime of highly nonlinear beam
dynamics. In this paper, the technique is presented and its application to the analysis of the
experimental data is presented and discussed in detail. This result is essential for the
performance assessment of the splitting process and for the design of further performance
improvements.
A comparative study of quality of life between elders living in a temporary shelter (huntara) and elders living at home in Petobo village
Authors: Zulmulatifah F , Syamsi N , Tanra A A M
Published: December 2022

Natural disasters can result in various changes in a person’s life. In addition to physical changes, psychological changes also significantly affect the quality of life of the elders. Quality of life is an important indicator to assess the success of health care interventions, both prevention, and treatment. The environment where older adults live is a fundamental problem that causes elders’ good and bad health status. This study aims to determine the difference in the quality of life among the elders who live in a temporary shelter (Huntara) and the elders who live at home after the disaster in the Petobo Village community. The study design is a comparative study. The study was conducted in September-October 2019. The number of respondents was 194 elders consisting of 97 people living in the Huntara and 97 people living at home. The sampling technique is purposive sampling. The result of the Mann-Whitney U test show that there is a significant difference between the quality of life of older adults living in the Huntara and living at home in the Petobo village, namely the physical health domain at QoL (p=0.000), psychological domain at QoL (p=0.001), the social relations domain at QoL (p=0.010) and the environmental domain at QoL (p=0.000). The conclusion is there is a significant difference between the quality of life of older adults living in the Huntara and living at the home of Petobo Village in each domain.
Effectiveness of moringa oleifera on triglyceride levels in diabetic wistar rats (Rattus norvegicus) induced with streptozotocin (STZ)
Authors: Setyawati T , Adawiyah R , Walanda R M , Riski  , Chandra R
Published: December 2022

Dyslipidemia is a lipid metabolism syndrome in an abnormal situation inside the body marked with increasing or decreasing the fraction of plasma lipid. This condition can be treated with an antioxidant found on Kelor Leaves (Moringa oleifera) that contains high flavonoid and saponin and potency to control the lipid levels inside the body. This study aims to know the effectiveness of Moringa oleifera to decrease the lipid profile of white rats. The design of this study is a true experimental pre-test and post-test with a group of the control. The sample, white rat (Rattus norvegicus) grouped into six groups and inducted by STZ 50 mg/kg BW. Group I is the standard control, group II is a negative control that is not given the treatment, group III is a positive control, group IV, V, VI is the group that given the treatment of Moringa oleifera with the concentration of 50 mg/kg BW, 100 mg/kg BW, and 200 mg/kg BW respectively. The data were analyzed using the parametric statistical test, Two-Way ANOVA. The Two-Way ANOVA test showed no significant difference in triglycerides levels that showed P-value 0,827 (p > 0,05) after the treatment. The induction of Moringa oleifera has not significantly decreased the triglycerides levels of the white rat (Rattus norvegicus).
Optimum conditions for absorption of copper (Cu) from its solution using durian skin waste biomass (Duriobzibethinus)
Authors: Said I , Aminah S , Ningsih P , Chairunnisa S
Published: December 2022

This study aimed to determine the optimum conditions for durian skin biomass to absorb copper metal (Cu) from its solution. Determination of optimum conditions includes optimum weight, optimum pH for biosorption, biosorption contact time, and initial concentration of copper metal (Cu). Determination of the adsorbed analyte used Atomic Absorption Spectrophotometry (AAS). In this study, the durian skin used was obtained from local durian skin waste from the Parigi Regency, Central Sulawesi Province. The parameters tested were the weight of the adsorbent or the weight of the powder with variations of 50 mg, 70 mg, 90 mg, 110 mg, and 120 mg, variations in contact time 20 minutes, 40 minutes, 60 minutes, 80 minutes, and 110 minutes, variations in pH 2, 3, 4, 5, 6 and concentration variations of 50 ppm, 100 ppm, 150 ppm, 200 ppm, and 250 ppm to determine the optimum conditions for adsorption of copper (Cu). The results of this study indicate that the optimum conditions for absorption of copper metal by durian skin biomass respectively, the optimum weight for biosorption was 120 mg with an absorption capacity of 99.08%, the optimum contact time was 100 minutes with an absorption capacity of 98.31%, the optimum pH was 5 with the absorption capacity of 99.72% and the optimum concentration of 50 ppm with an absorption capacity of 98.92%.
Climate change impacts on the Palu watershed’s precipitation characteristics
Authors: Arafat Y , Sutapa I W , Hasanah Y
Published: December 2022

Climate change occurs naturally and due to accelerated elements due to human activities, which result in deviations from the average climate trend (increasing or decreasing). This study was conducted to identify the effects of climate change on the precipitation characteristics in the Palu watershed (DAS). The climate change analysis method used is Mann-Kendall-Sens. The analysis of the nature of rain uses the standard deviation, which shifts the wet month from the wet month to the dry month using the Oldeman method. This study uses secondary data, namely rainfall data from 1985–2020, from five rainfall stations. The results of this study indicate climate change in the Palu watershed, which is characterised by a negative Z value (decreasing) in January and a positive Z value (increasing) in June. The results of the analysis of the nature of rain in January for the 1985-1995 period were normal (N), the 1996-2006 period was below normal (BN) and the 2007-2020 period was below normal (BN). In June, the 1985–1995 period was below normal (BN), the 1996–2006 period was normal (N), and the 2007–2020 period was normal (N).
Multi-hazard assessment in Palu Barat District
Authors: Mulyati Sri , Rizkhi  , Salhuddin
Published: December 2022

West Palu District is one of the areas severely affected by the earthquake that occurred on September 28, 2018. The purpose of this study was to assess the level of multi-hazard disasters in the West Palu District. The study was conducted by assessing each disaster hazard, namely the hazard of earthquakes, tsunamis, and liquefaction presented in a multi-hazard map. The earthquake hazard assessment parameter is based on PGA data. The tsunami hazard parameter is based on data from the highest peak of a tsunami wave that has ever occurred. Meanwhile, the liquefaction hazard parameter is based on the ground shear strain (GSS) value. Then the weighting and overlapping methods are carried out to obtain the final result in a multi-hazard assessment map. The results showed that the level of multi-hazard in West Palu District was in the medium and high class. The middle multi-hazard level is in Baru Village, Kamonji Village, and Siranindi Village. In contrast, the high multi-hazard level is in Balaroa Village, Ujuna Village, and Lere Village.
Identification and treatment of black spots in the road network around Universitas Tadulako
Authors: Setiawan A , Ramlan R , Labaso E R , Nur A A
Published: December 2022

Safety is an essential thing that must be met in the implementation of traffic activities on the highway. Every effort is made to increase traffic safety. The road network around Universitas Tadulako has a high traffic flow so that the number of accidents increases. The accidents are indicated by several black spot locations. This condition requires research that can identify and find the proper black spot treatment. Therefore, the objectives of this research are to identify and discover the proper black spot treatment on the road network around campus. The method used in this research is an interview of road network users around the campus (students, community members, and the authorities) and inspections of locations that can become black spots. Three hundred forty-six respondents were collected and analyzed. The results show that the location of the black spot around the Universitas Tadulako is in front of the gate of the Universitas Tadulako lecturer housing. The proposed treatments at the black spot location are controlling street vendors’ spots, optimizing traffic lights, setting U-turns, cutting several trees, and repairing road pavements.
Patterns of utilization of residential spaces affected by the tsunami in donggala regency
Authors: Najib M , Mulyati A , Astha A M Y
Published: December 2022

Settlements are an artificial environment that is formed and is strongly influenced by the local socio-cultural and climate. To remain in the unit of the residential setting, the settler will make adjustments based on his needs in a settlement system. This research aims to develop a pattern of living space for people affected by the tsunami in a settlement system. The study used a qualitative phenomenological approach to examine the settlements and environment in Wani II Village directly affected by the earthquake and tsunami. The unit of analysis includes housing, community activities, and community behavior in land use. The research design looks at the overall location description, sees the relationship between systems, gives meaning to social settings, analyzes data in the field through interpersonal relationships, and combines respondent information. The inductive method is used to continuously analyze the study cases as a purposively selected objective sample. The residential environment unit in Wani II Village, Tanantovea District, Donggala Regency, forms a clustered (concentrated) pattern, oriented to the environmental center, public facilities, social facilities, and existing ecological facilities and infrastructure. The settlement pattern formed is influenced by; a) the existence of worship facilities (old mosque); port facilities (pier); and c) the existing design of environmental roads. The land-use patterns are influenced by; 1) social resilience and cohesion built through social sense; 2) mutual trust between settlers; and 3) respect for existing culture and values. Several residential units that functioned as places of business were repaired and rebuilt on the existing site. The informal sector business spaces utilize the remaining areas that are still permitted for development. Residual land formed between buildings and between buildings and environmental roads and land for housing sites that have collapsed due to the earthquake and tsunami is the most dominant living space used for various activities that can support the lives of settlers with or without government assistance. Research conclusions are ‘local theories’ or ‘substantive theories,’ which apply specifically to the research area and are provisional.
Analytical modeling of mass transfer dynamics, velocity, heat transfer and enthalpy in a gas-liquid combustible mixture
Authors: Ismatov J F , Matmurodov F M , Khakimov J O , Djalilov J X
Published: December 2022

The article studied the distribution of the droplet and temperature over the volume of the combustion chamber when liquid fuel was injected into it. The study showed that the portable mass in the combustion chambers and temperatures are directly proportional. Compiled systems of dynamic equations describing mass transfer, motion, heat transfer and enthalpy at the beginning inside the chamber phase and during combustion inside the chamber. Mathematically modeled a gasoline-hydrogen-air mixture with the mass transfer method. With this simulation, pressures are determined at the beginning inside the chamber phase and during combustion inside the chamber, taking into account the newly introduced enthalpy coefficient of gas kHg
and steam kHp
phase media.
Environmentally friendly technology for obtaining fuel briquettes from oil waste
Authors: Jumaev Kayum , Tursunov Bakhodir
Published: December 2022

In the given work one can learn about methods for obtaining fuel briquettes from hydrocarbon-containing wastes of oil refineries as a binder are considered, and a comparative analysis of the performance characteristics of the obtained products and previously known fuel briquettes is carried out. To improve the performance properties of oil sludge briquettes, a study is being carried out and, for the first time, it is recommended to use licorice root production waste as a filler-hardener. The results of laboratory studies of the obtained oil-sludge fuel briquettes of the central laboratory of the Bukhara oil refinery are presented. The article also provides the recommended technological scheme for the production of fuel briquettes using licorice root production waste as a filler-hardener.
Laboratory research of coal briquette quality indicators
Authors: Kobilov Khasan
Published: December 2022

The research is based on the results of scientific research on the development of technology for the production of high-energy and environmentally friendly coal briquettes.The study of crushing of different sizes of coal, as well as the study of separation processes on the geometric size of the fine fraction of coal revealed high efficiency of hammer grinders and multi-layer screening devices for sorting, based on the consistency of briquette constituents, a technological system for the production of briquettes based on the use of a solution of biohumus and rice starch as effective biobinders, providing effective interaction of coal particles. The strength of briquettes obtained by increasing the amount of starch solution in coal compounds by 2%, 4%, 6% is 1.3-1.5 times, and when the pressing pressure is increased from 5 MPa to 40 MPa, the average strength of briquettes is from 2.8 MPa to 6.4 MPa. increase was detected.
Development of technology and equipment for harvesting mung bean crops
Authors: Astanakulov K D , Babaev Kh M , Eshankulov Kh M , Turdibekov I M
Published: December 2022

The volume of mung bean cultivation and export is also increasing in Uzbekistan. In Uzbekistan, mung bean is mainly planted as a repeat crop after wheat in June-July, and harvested in autumn in October-November. This provides additional income for farms and improves soil fertility. There are methods of mowing, plucking and harvesting mung bean from 5-10 cm above the surface of the ground, and cutting mung bean from the roots 5-10 cm below the ground. Because this method gives a good result in harvesting mung bean, which grows along the cultivated land in Uzbekistan and when the grain is ripe, but the stalks are green. Research is currently underway to develop a harvester that implements this method and to adapt the Dominator-130 combine to threshing without breaking the mung bean.
“Direct” sowing of grain crops after potatoes
Authors: Volkov A I , Prohorova L N , Bogdanov K V
Published: December 2022

The effectiveness of the use of “direct” sowing in the cultivation of grain crops in the north-east of the Non-Chernozem zone of the Russian Federation has been revealed. Field experiments were carried out in 2019-2021 on medium loamy low-humus gray forest soils with a high content of mobile phosphorus and exchangeable potassium. The weather conditions during the years of the experiments differed both in terms of heat supply and the amount of precipitation. The objects of the study were: winter wheat of the Moskovskaya 39 variety, spring wheat – Arhat, malting barley – Elf, fodder barley – Pamyaty Rodinoy, corn for silage and grain hybrid NK Gitago. “Direct” sowing was carried out using the Primera DMC (Amazone) sowing complex with the simultaneous application of mineral fertilizers for the maximum planned yield of each crop. On average, the maximum (3.43 t/ha) grain yield when using “direct” sowing was formed when cultivating corn, and the minimum (1.86 t/ha) – malting barley. In the production of these crops, the highest (2.42) and the lowest (1.85) energy efficiency coefficient, respectively, was also revealed. An analysis of economic indicators testified to the expediency of using “direct” sowing in the cultivation of winter wheat, which was reflected in obtaining the maximum (73.3%) level of profitability. The minimum (31.5%) level of profitability was noted in the cultivation of malting barley, which is explained by the high degree of material and labor costs and its relatively low yield. The profitability of the production of other types of crop products was 1.18-1.94 times lower. In general, the agronomic, energy and economic assessment showed bright prospects for the cultivation of winter wheat and maize for grain using the “direct” seeding method after potatoes.
Sustainable development of the land use system in the agricultural sector
Authors: Kuzmich N P
Published: December 2022

The specific of the agrarian sector in the general system of the state manifests itself in relief in solving the problems of land and property relations. In the context of increasing intensity of land use there are processes that lead to a decrease in the efficiency of land use. In this regard the problem of sustainable development, organization of rational use and protection of land resources is particularly relevant. Large areas of land especially for agricultural purposes have been used for non-agricultural activities in recent years. This is of particular concern since the area of fertile land is very limited. The article discusses the main strategic directions in the field of land use in which decisions are needed which in the future will contribute to the sustainable development of not only agro-industrial production, but also rural areas in general. The role of the components of the land management system as interrelated links in the process of regulating land relations is revealed. The purpose of this research is to improve the theory and practice of the development of land and property relations in agriculture and rural areas. Research methods used in writing this work are methods of logical and comparative analysis, observation, systematic approach, review of information