bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of The Learning-to-Swim Method Using Fins and Swimming Boards on The Butterfly-Style Swimming Ability of SeaRIA Aquatic Athletes
Authors: Armen Meiriani , Alben Ary Suud Cahyo
Published: January 2024

This study examines how SeaRIA Aquatic athletes' butterfly-style swimming proficiency is affected by using fins and swimming boards during the learning phase. Using a quasi-experimental methodology, the study concentrates on 55 SeaRIA Aquatic athletes. Twenty male athletes were chosen using purposive selection, and groups were created using matching strategies. A pretest, a 14-session therapy phase, and a posttest are all included in the study. The butterfly swimming ability test is used as the assessment instrument. The normality test (Liliefors) and the t-test with a significance level of α=0.05 are used in data analysis. The results show a strong relationship between the fin-and-swimming board learning approach and the improvement of butterfly swimming skills in SeaRIA Aquatic athletes. The estimated t-value of 15.37 is more than the essential t-table value of 1.81, indicating that the observed influence is significant.  These findings highlight how well fins and swimming boards can be incorporated into swim training regimens for SeaRIA Aquatic athletes, especially when mastering the difficult butterfly-style technique. The consequences of this study go beyond its local setting, providing insightful information to aquatic sports organisations, coaches, and trainers looking for evidence-based methods to improve their participants' swimming skills. This study adds to the current conversation about novel and efficient ways to maximise training plans and lays the groundwork for further research on water sports education and performance improvement.
Etični vidiki nekaterih sorodnih konceptov odgovornosti podjetij
Authors: Sruk Vida , Ašanin Gole Pedja
Published: January 2024

Članek obravnava koncepte odgovornosti podjetja kot pojma uporabne etike in povezuje filozofske in družboslovne pristope ter spoznanja. Namen članka je na osnovi konstruktivistično interpretativne paradigme preiskati in soočiti nekatere sorodne koncepte odgovornosti podjetja glede na njihovo normativno vsebino, in sicer glede na primernost njihove uporabe kot paradigmatske teorije za poslovno etiko. Tako so analizirani koncepti družbene odgovornosti podjetij, družbenega učinka podjetij in teorije déležnikov, kar vodi tudi k analizi ključnih sodobnih konceptov, kot so odgovornost podjetij, pristojnostna odgovornost in korporativno državljanstvo, ki ponujajo pomemben konceptualni prostor za razumevanje poslovne etike onkraj njenih tradicionalnih meja. Izkazalo se je, da šibkost pojma družbena odgovornost izhaja iz manjka njegove filozofsko etične utemeljitve glede tega, kdaj ter pod katerimi pogoji in na kakšen način je nekaj moralni subjekt.
Key factors of neobanking's occurence
Authors: Jagrič Timotej , Amon Aleksandra
Published: January 2024

Neobanks, exclusively digital fintech-based banks are swiftly becoming a significant player in the financial markets. They bloomed rapidly and continue to develop swiftly, while there is little known about determinants of their establishment and performance. Purpose of this research is to find key factors determining occurrence of neobanks in selected 43 countries. We use random-effects model to analyse 13 financial, economic, and cultural–geographical factors. We find number of ATMs, S&P500 and rural population to be significant factors in occurrence of neobanks in selected countries. Our study presents first insight in factors of demand for neobanks and thus, first step in understanding demand for this new banking business model.
Can economic policy be praised for its environmental policy in the field of transportation?
Authors: Ovin Rasto , Nestorović Žarko , Geršak Tomaž
Published: January 2024

Car users in the European Union are facing concerning prospects regarding the costs and property value of their personal vehicles. According to EU documents, starting in 2035, the production of cars with internal combustion engines will cease. This has two main economic consequences for car users: firstly, they will be compelled to purchase electric vehicles, accepting higher entry costs for new vehicles with the same level of utility they have been accustomed to. Secondly, they will experience a significant loss in property value when parting with their personal vehicles, as their old cars will have to be sold at much reduced prices or even scrapped. From an emissions data standpoint, such a policy can be seen as an abrupt change in income distribution and a departure from the main principles of economic policy in a democratic society.
Manipulation in the world of marketing
Authors: Ljubičić Kristina , Vukasović Tina
Published: January 2024

Every day we are participants in various marketing advertisements. Wherever we turn at every turn, we can see at least one bit of marketing and try to communicate businesses to their products or services through marketing activities. Tempting sentences at once distract us and intrigue us to continue reading or watching a commercial or marketing view. The purpose of the research is to look at where and in what marketing activities manipulation is hidden and how and how marketing tricks using manipulation tactics influence the change in our attitude of behavior and attitude of buying certain advertised products or services. Research with a method of experiment has assessed aspects of manipulative advertising, their execution, and expected impacts on consumer behaviour in general about any purchase of a product or service worldwide. Analysis of the collected primary data revealed that manipulation in marketing is quite common and occurs at every step and has begun to be one of the main players when creating marketing ventures and actions.
Vloga organizacijske kulture in klime pri fluktuaciji zaposlenih v gostinstvu
Authors: Krajnc Evelin , Poplas Juvan Karmen
Published: January 2024

Gostinska dejavnost je kadrovsko zelo intenzivna gospodarska panoga z nadpovprečno stopnjo fluktuacije kadrov in velikimi kadrovskimi izzivi. Zaradi strukturnih sprememb gostinske dejavnosti, ki jo je spodbudila Pandemija Covid-19, se je kadrovska problematika v gostinski dejavnosti še okrepila; predvsem je narasla negativna fluktuacija. Visoka stopnja fluktuacije kadrov v gostinski dejavnosti ima desetletja dolgo zgodovino in evidentno je, da gospodarstvu in politiki še ni uspelo poiskati uspešnih rešitev. Prispevek empirično preverja vlogo organizacijske kulture in klime pri fluktuaciji kadrov v gostinskih podjetjih Slovenije. Z uporabo kvantitativne metodologije raziskujemo zaznavo organizacijske klime, organizacijske kulture in predvideno fluktuacijo. Ugotavljamo, da sta zaznani organizacijska kultura in klima med anketiranci relativno nizki, prav tako je zaznati zmerno visoko stopnjo predvidene fluktuacije. Okoli 50% vprašanih predvideva menjavo podjetja oziroma menjavo poklicnega področja. Med dobro ocenjenimi so atributi organizacijske kulture in klime, ki se nanašajo na goste oziroma stranke ter produktivnost dela. Slabše ocenjeni so atributi organizacijske kulture in klime, ki se nanašajo na zaposlene in delo v organizaciji.
The impact of higher education on innovation: A comparison of Slovenia and Switzerland
Authors: Car Anja , Stanovnik Peter
Published: January 2024

Knowledge transfer between universities and industry and their impact on innovation is nowadays a key research topic in both economic studies and science and technology policy in many developed and developing countries. In this context, we investigated the impact of higher education on the current state of innovation in Slovenia in comparison with Switzerland. The Switzerland represents an incubator of future strong innovators and Slovenia a group of modest innovators. Switzerland has the world's highest innovation index, and this success is based on human resources that have the right skills to contribute to innovative solutions to improve living standards, the environment and economic development. Considering that Slovenia's strongest attributes are also its human resources, Slovenia should be a country that is recognizable for its innovative and highly technologically oriented companies in selected niches on the world market. The work is based on the comparison of univeristies and their impact on innovation in the context of the analysis of the publication of scientific articles, the number of patents and the number of newly founded companies.
Nagradne igre med mladimi na družbenem omrežju Facebook
Authors: Strašek Nejc
Published: January 2024

Živimo v času, ki ga zaznamujejo nenehne spremembe in hiter tempo življenja. Kot družba smo postali vedno bolj odvisni od sodobnih tehnologij. Z razvojem sodobnih tehnologij postajajo vedno bolj razširjena družbena omrežja, ki so za mladostnike del vsakdana. Mladim iz celega sveta omogočajo, da se povezujejo med seboj, izmenjujejo svoje ideje in interese na enostaven način. Ne predstavljamo si življenja brez njih, med nami pa je izredno malo posameznikov, ki nimajo pametnega telefona, na katerem so naložene aplikacije kot so Facebook, YouTube, Instagram, TikTok in še mnoge druge. V zadnjem času smo kot uporabniki družbenega omrežja Facebook opazili velik porast nagradnih iger, ki jih objavljajo podjetja iz različnih razlogov. V članku prikazujemo rezultate raziskave v kateri smo raziskali priljubljenost družbenega omrežja Facebook in nagradnih iger med mladimi na tem družbenem omrežju. Ugotovili smo, da večina mladih uporablja družbeno omrežje Facebook vsak dan in sicer za socializacijo s prijatelji in za nagradne igre. Večina mladih dostopa do Facebooka preko mobilnega telefona. V Facebookovih nagradnih igrah je sodelovala večina anketiranih, medtem ko je ključni motiv za sodelovanje v nagradnih igrah na Facebooku privlačna nagrada. Nagradne igre na Facebooku zaradi številnih objav in popularnosti pri podjetjih postajajo med uporabniki zasičene. Kljub temu sodelujoči menijo, da so aktivnosti podjetij, kot so oglaševanje, predstavitve izdelkov in blagovnih znamk, sodelovanje z vplivneži, nagradne igre in druge aktivnosti še vedno učinkovit način za komuniciranje med podjetjem in njegovo ciljno skupino potrošnikov.
Research on Error Control Technology of High Performance CNC System Based on Feedforward Control
Authors: Liu Ping , Wu Min , Lin Guoyong
Published: January 2024

The mathematical model of servo control system is established, and the physical meaning of feedforward control is analyzed. Based on the servo three-loop control structure, a feedforward compensation mathematical model is constructed to reduce the tracking error of each axis of the CNC system. The application in FANUC CNC system shows that the large tool path tracking error of the servo system due to the phase lag and amplitude attenuation of the drive signal can be reduced by setting the appropriate feedforward coefficient during high-speed and high-precision machining.
Battery Shell Liquid-Filled Forming Experiment and Simulation Analysis Based on Dynaform
Authors: Guo Jianbin , Liu Bolan
Published: January 2024

In this paper, a simulation analysis is conducted for liquid-filled deep drawing process of battery shell used on electric vehicles. Firstly, the plate liquid-filled forming experiments are conducted on our own hydraulic forming experimental platform, secondly, the hydraulic simulations based on the nonlinear finite element software DYNAFORM are conducted to demonstrate correctness of the finite model and the simulation method, and finally, based on the correctness of the finite element simulation method, finite element modeling and simulation analysis for the battery shell of electric vehicles are conducted to discuss the impact of different presser ring edge pressures and hydraulic pressures on the wall thickness of the battery shell, providing a reference for the practical application of the liquid-filled deep drawing process of battery shell.
Effect of Support on Tensile Strength of Stereolithography Products
Authors: Vu Tran Ba , Y Vo Viet , Ngan Le Hoai , Ngan Van Thi Cam , Nga Pham Thi Hong
Published: January 2024

Stereolithography (SLA) is a 3D printing technology commonly used in many fields. This advanced printing technology makes it possible to produce a wide range of products with smooth surfaces with high precision. Nowadays, 3D printing technology is the Top most effective with almost absolute accuracy. Support is still needed to print corner protrusions. Still, a more significant concern is to minimize the cross-sectional area at each print layer to avoid bias when removing a print layer from the silicone. Support structures in small columns or frame structures to keep the model in the correct position during printing are often created in preparation for stereolithography 3D printing. These structures are printed with the model and removed after printing. The support structure has an essential influence on the quality and accuracy of the 3D-printed product. In this study, the survey model is fabricated based on SLA 3D printing technology with different support structures, and the mechanical properties of acrylonitrile butadiene styrene like resin (ABS like resin) are tested. Check the parameters on the compression testing machine, and the results show that the two-headed support structure is optimal for the surveyed plastic materials.
Energy-Efficient Routing Protocol for WSNs Based on Tree-Like Link Topology Structure
Authors: Lai Xuyuan
Published: January 2024

To address the problem of the LEACH routing protocol’s inapplicability to large-scale networks due to its lack of consideration for dynamic changes in the network, a wireless sensor network energy-efficient routing protocol based on a tree-like link topology structure is proposed. This protocol seeks parent nodes based on the remaining storage energy of cluster heads, geographical location information, and the load level of neighboring cluster heads. Through multiple iterations, it establishes a tree-like link with the base station, enabling multi-hop routing transmission between cluster heads and the base station. Simulation and performance analysis demonstrate that compared to the LEACH protocol, the proposed protocol effectively balances network energy consumption and overall network lifespan.
Research on Improving the Dynamic Characteristics of Pneumatic Electromagnetic Valves
Authors: Guo Dayong , Si Guolei , Chen Junhui , Wang Jialei
Published: January 2024

Dynamic characteristics are an important indicator for measuring the performance of electromagnetic valves, and are also one of the most difficult problems to solve. By establishing an AMESim model of a certain type of pneumatic solenoid valve and conducting dynamic characteristic optimization simulation research, the impact of different control methods on its dynamic characteristics is analyzed. Through simulation, it was found that when using 12 V and 24 V single voltage control, as the control voltage increases, the opening time of the pneumatic solenoid valve decreases and the closing time prolongs, failing to achieve the goal of improving dynamic characteristics; After analyzing the reasons, a dual voltage control method of 24 V + 4 V was proposed, which reduced the opening and closing time of the pneumatic solenoid valve, but the reduction was not significant and the effect was not significant; After analyzing the underlying reasons, a three voltage control method was proposed, which ultimately reduced the opening time of the pneumatic solenoid valve from 16 ms to 9 ms and the closing time from 61 ms to 11 ms, effectively improving the dynamic characteristics of the pneumatic solenoid valve, and the effectiveness of the simulation was verified through experiments.
Forecasting of the Spacecraft Dynamic Loading Under the Rocket Engine Thrust Oscillations of the Launch Vehicle
Authors: Nikolayev Dmytro
Published: January 2024

During the rocket launch into working orbits, the rocket structure and its spacecraft are subjected to extreme dynamic impacts. During this period, the rocket structure and the spacecraft may be subjected to vibroacoustic loads, which can lead to malfunctions of the devices and the strength of the light, thin-walled spacecraft. Testing the spacecraft’s self-oscillations and predicting the spacecraft’s reaction to dynamic loads from the launch vehicle (LV) is a complex task, the relevance of which is manifested in the significant saving of material and technical resources invested in spacecraft development. An approach has been developed to predict the dynamic loads of spacecraft launched into working orbits using LVs (of various layout schemes). The approach makes it possible to estimate the values of dynamic loads (spectral densities of vibration accelerations) of the spacecraft under the propulsion system thrust oscillations acting on the LV structure in the active part of the liquid LV flight. The approach includes mathematical modeling of spatial oscillations of the launch vehicle structure by its structural and layout scheme and preliminary experimental determination of the power spectral density of the rocket engine structure.
Study on Parking Assistance Test Based on China Intelligent-Connected Car Assessment Programme (C-ICAP)
Authors: Zhang Zhibo , Zou Zhiliang , Liu Peng , Li Tao , Zhou Jianhua
Published: January 2024

With the improvement of automobile intelligent technology, the assembly rate of automatic parking function is increasing. Performance testing and evaluation for intelligent parking systems (APS) are becoming more and more important. However, in the ISO 16787:2017 protocol, only the standard spatial and linear parallel and perpendicular parking spaces are tested and evaluated, which is not enough to comprehensively measure the advantages and disadvantages of intelligent parking system functions. Therefore, we propose the China Intelligent Connected Vehicle Assessment Programme (C-ICAP) to comprehensively test the intelligent parking function of vehicles. In this research, based on the basic parking assistance part of C-ICAP, we conducted five sets of tests using high-precision positioning test technology to evaluate the performance of APS equipped test vehicles. Based on the test results, the feasibility and reasonableness of the test protocol were analyzed and evaluated.
Structural Design and Analysis of Wind Turbine Tower Cleaning Robot
Authors: Sun Lixin , Wang Qi , Chen Chong , Zhang Minglu
Published: January 2024

Aiming at the problems of wind turbine tower oil cleaning difficulty and low efficiency of manual operation, design a new wind turbine tower cleaning robot that can replace manual work, reducing labor costs and accident risk. The structural elements and operating principles of the cleaning robot are covered in great detail in this study. To determine the size of the necessary magnetic adsorption force, a hydrostatic study is performed while the robot is in various crawling positions. Maxwell was used to study and simulate the adsorption of the permanent magnet. The simulation findings meet the necessary magnetic adsorption force after the impact of various spacings on the force is examined. The performance of the robot is evaluated after it has undergone physical processing. The results of the studies demonstrate the robot’s consistent mobile performance, certain load and obstacle-crossing capability, and effective cleaning capability.
Durability Assessment of Substation Steel Components Based on Graphene Coating
Authors: Jin Quan , Duan Wei , Yao Liang , Ding Wen , Du Daining , Deng Ping’an
Published: January 2024

The durability of metal component corrosion protection coatings represented by graphene was studied. Design corresponding low carbon steel and galvanized steel test samples. The primers for low carbon steel components are cold sprayed zinc, cold sprayed alkene zinc, and epoxy rich zinc, with the outermost coating being fluorocarbon topcoat; The primer for galvanized steel components is zinc phosphate primer, and the outermost coating is fluorocarbon topcoat; Conduct 1440 hours of neutral salt spray test, accelerated coating aging test, and coating adhesion test on the components; The experimental results show that cold sprayed zinc and cold sprayed alkene zinc coatings have better durability than epoxy zinc rich coatings; Under the same durability, the overall cost of low-carbon steel and galvanized steel varies with the thickness of the material, reflecting different economic benefits; The research results provide technical support for metal materials and corrosion protection coatings of power equipment.
Asymmetric Loss-Oriented Cost Sensitive Learning Model for Credit Risk Assessment
Authors: Chen Wenjing , Liu Chao , Yu Wanshui , Wen Jie , Zhou Lihua
Published: January 2024

Credit risk assessment (CRA) is a hot topic in both academia and financial circles. Existing CRA methods can encompass both experience-based and data-driven approaches. The data-driven approaches are mainstream in recent years. Various data-driven CRA techniques are constructed with machine learning techneques. Since the non-default consumers are far more than the default consumers, CRA is typically a class imbalanced problem. Indeed, the misclassification of default consumers usually encounters heavier loss than the contrary case. An asymmetric loss-oriented cost sensitive learning model named CSLINEX-SVM is proposed by using the asymmetry of LINEX loss to assign more costs to the minority class. In credit risk assessment, the default consumers (majority class) deserve more penalty than the non-default consumers (majority class). Thus, we apply the Nesterov accelerated gradient algorithm to solve CSLINEX-SVM for credit risk assessment. The experiments verify the effectiveness of CSLINEX-SVM.
Analysis and Evaluation of Measurement Uncertainty of Aneroid Barometer Based on GUM Method
Authors: Li Changchun , Li Fen , Zhou Taocheng , Wei Mingming
Published: January 2024

In response to the current lack of research on the evaluation of measurement uncertainty for aneroid barometer, this study used the GUM method to evaluate the measurement uncertainty of their calibration results. The study first analyzed the evaluation process and steps of the GUM method. Then, according to the requirements of JJG 272-2007 “Aneroid barometer and Aneroid Barograph”, calibration experiments were conducted on the DYM3 type aneroid barometer. Finally, the measurement uncertainty of the calibration results was evaluated using the GUM method, and the expanded uncertainty U95 = 0.8hPa and U = 0.8hPa were obtained. This study provides a reference route and scheme for the evaluation of measurement uncertainty of aneroid barometer. This provides technical support for effectively improving the accuracy of air pressure measurement of aneroid barometer.
Performance Enhancement with Denavit-Hartenberg (D-H) Algorithm and Faster-RCNN for a 5 DOF Sorting Robot
Authors: Ajayi Oluwaseun K. , Arojo Timilehin A. , Ogunnaike Ayodeji S. , Adeyi Abiola J. , Olanrele Oladeji. O.
Published: January 2024

This work demonstrates the fruit sorting improvement system architecture using the Faster-RCNN algorithm to identify fruits of varying size, colour selection, and segregation. The requirement is for a fruit sorting mechanism with accurate and precise detection with accurate placement capabilities. For this purpose, a 5 DOF robotic arm was built in the laboratory. For the control, an algorithm was developed using Denavit-Hartenberg (D-H) kinematic analysis model. The Image processing was implemented in OpenCV by adopting the Faster-RCNN image processing using NumPy and panda packages. Color clustering was employed to improve fruit detection, and segmentation techniques were used to focus more on the fruit image. The algorithm used was based on baseline architecture within relevant architecture, and with the results that are derived, it shows a great improvement from typical fruit detection systems using non-deep learning techniques, especially for position identification and the edge-to-edge estimation of the fruits. However, it was discovered that the time to detection was the same for all colours and weights, while the sorting duration varies with weight.
Improved Sliding Mode Control of PMSM with Disturbance Compensation
Authors: Zhou Zhuhai , Zhao Chunping , Liu Tong , Zhu Yi
Published: January 2024

To enhance the performance of the traditional speed control system for Permanent Magnet Synchronous Motors (PMSM) and eliminate the adverse effects of concentrated disturbances within the system, a novel fast exponential convergence law is proposed for the velocity loop. In addition, an improved extended state observer is designed to create a composite sliding mode controller for achieving robust control of PMSM speed regulation. This strategy builds upon the conventional exponential convergence law by incorporating a power function into the sliding mode surface and using a saturation function to replace the traditional signum function. Ultimately, an integral sliding mode surface is employed in designing the velocity loop sliding mode controller. To address issues related to load disturbances, the new convergence law is integrated into the traditional sliding mode controller, along with the design of an improved extended state observer that provides feedforward compensation for disturbance information within the velocity loop sliding mode controller. Simulation results demonstrate that this control strategy effectively enhances system control precision, robustness, and dynamic performance while mitigating chattering associated with sliding mode control.
Fabrication of PDMS (Dimethylsiloxane) Spiral Microchannels Using Overturn Exposure with Dose Modulation of SU-8
Authors: Chen Qiming , Fu Renxuan , Song Xianwen , Zhou Jinyun , Huang Yijie
Published: January 2024

A dose-modulated overturn exposure method was proposed to prepare SU-8 molds for spiral microfluidic channels. The exposure device is a maskless digital lithography device and the light source is a LED with the wavelength of 405 nm. For thicker SU-8 photoresist layers, multiple exposures using low-dose can effectively suppress the T-shaped structure formed due to overexposed at the top and underexpose at the bottom. A 55 µm high spiral SU-8 mold was fabricated in this work with 60 times exposures. The actual outline of the SU-8 mold closely matches the design outline. The PDMS microchannel structure was prepared by using SU-8 mold. The spiral microchannels are clear with the minimum width of a single microchannel reaching 50 µm. This method provides a more flexible way to manufacture SU-8 molds with higher accuracy.
PV Cell Defect Detection Based on Improved YOLOv7 Modeling
Authors: Zhao Yao , Zhang Yanling , Han Liming
Published: January 2024

This paper proposed an improved model based on YOLOv7, with the aim of tackling the issues of low detection accuracy and heavy model weight of current defect detection algorithms for photovoltaic cells. Ghost convolution is introduced in the original backbone network and neck to reduce the weight of the model. Secondly, the DenseBlock module is improved in two parts to enhance feature extraction ability and feature fusion ability. The introduction of a Wise-IOU loss function to further enhance the detection accuracy of the model was finally successful. Experiments with four defect datassets featuring cracks, broken gates, thick lines and black cores revealed that the weight size of the improved model in this paper was reduced by 24.4%, and the defect detection accuracy and mean average detection accuracy were both increased by 9.7% and 3.7% respectively, in comparison to the original YOLOv7 network.
An Electromagnetic Scattering Feature Conversion Method of Scaled Model Based on Neural Network
Authors: Zhu Fan , Deng Xianming , Zhang Tiancai , Xu Lang , Wang Lin , Wu Xinrui
Published: January 2024

In this paper, a method of electromagnetic scattering feature conversion of scaled model based on multivariate nonlinear neural network is proposed. Through batch training, weight adjustment is carried out to greatly reduce the total error of multivariate nonlinear neural network and improve the electromagnetic scattering feature conversion accuracy of scaled model. In this paper, the conversion and verification tests of electromagnetic scattering characteristics of cuboid scale model with 4 kinds of media materials are designed. The results show that the conversion method of electromagnetic scattering characteristics of scale model based on multivariate nonlinear neural network can effectively control the conversion error. The conversion errors of cuboid RCS with 4 kinds of media materials are 0.0017 dB, 0.0048 dB, 0.0041 dB and 0.0022 dB respectively.
Deformation Prediction Method of Large Span Pile Foundation Based on PCA-LSTM
Authors: Dai Ya , Wang Bo , Zhang Nan , Ye Chao , Li Boyi , Xu Weizhou
Published: January 2024

In order to meet the demand of electricity in the south bank of the Yangtze River, the construction scale of trans-Yangtze River transmission tower is constantly expanding. Current scholars have focused on the wind-vibration response of large span tower and the optimal construction method and technology of pile foundation, but there is little research on the comprehensive influence of various factors on the deformation of large span pile foundation under wind load. In this paper, based on the 385m high large span transmission tower project from Fengcheng to Meili in Jiangsu Province, detailed three-dimensional finite element numerical simulation is carried out to systematically study the factors affecting the deformation of large span tower pile foundation. It is found that the pile foundation deformation of large span tower is closely related to wind speed, wind direction, soil compression modulus and pile length under wind load. Then, the principal component analysis (PCA) is used to reduce the dimensionality of the data, and the principal component information of all indicators is mined. Finally, all the principal component information is divided into the training set and the test set according to the ratio of 8:2. Long short-term memory network (LSTM) is used to predict the deformation of large-span pile foundation, and good results are obtained, which provides preliminary guidance for the design of oversize transmission tower pile foundation engineering.
Study on the Performance Test Method of the Elevator Brake
Authors: Wang Bo
Published: January 2024

The elevator brake is an important part to ensure the safe operation of the elevator, and its performance directly determines the safety of the whole machine. This paper describes a brake performance test scheme and test principle, and tests the elevator brake reliability through the test device, recording the suction and release voltage, the response time, the brake surface temperature, and the delay time of the mechanical parts on both sides. The analysis of the changing characteristics of the brake performance with time is helpful to further understand the safety condition of the elevator brake, and provides a reference for the related study of the brake performance.
CCTSDB dataset enhancement based on a cross-augmentation method for image datasets
Authors: Lin Xinrui , Wang Wei , Zhu Xiaohui , Yue Yong
Published: January 2024

In the digital era, the rapid advancement of artificial intelligence has put a spotlight on target detection, especially in traffic settings. This area of study is pivotal for crucial projects like autonomous vehicles, road monitoring, and traffic sign recognition. However, existing Chinese traffic datasets lack comprehensive benchmarks for traffic signs and signals, and foreign datasets do not match Chinese traffic conditions. Manually annotating a large-scale dataset tailored for Chinese traffic conditions presents a significant challenge. This study addresses this gap by proposing a cross-augmentation method for image datasets. We utilized YOLOX for target detection and trained models on the BDD100K dataset, achieving an impressive mAP of 60.25%, surpassing most algorithms. Leveraging transfer learning, we enhanced the CCTSDB dataset, creating the ACCTSDB dataset, which includes annotations for common traffic objects and Chinese traffic signs. Using YOLOX, we trained a traffic detector tailored for Chinese traffic scenarios, achieving an mAP of 75.79%. To further validate our approach, we conducted experiments on the TT100K dataset and successfully introduced the ATT100K dataset. Our methodology is poised to alleviate the limitations of manually annotating image datasets. The proposed ACCTSDB dataset and ATT100K dataset are expected to compensate for the lack of large-scale, multi-class traffic datasets in China.
A novel dual-granularity lightweight transformer for vision tasks
Authors: Zhang Ji , Yu Mingxin , Lu Wenshuai , Dai Yuxiang , Shi Huiyu , You Rui
Published: January 2024

Transformer-based networks have revolutionized visual tasks with their continuous innovation, leading to significant progress. However, the widespread adoption of Vision Transformers (ViT) is limited due to their high computational and parameter requirements, making them less feasible for resource-constrained mobile and edge computing devices. Moreover, existing lightweight ViTs exhibit limitations in capturing different granular features, extracting local features efficiently, and incorporating the inductive bias inherent in convolutional neural networks. These limitations somewhat impact the overall performance. To address these limitations, we propose an efficient ViT called Dual-Granularity Former (DGFormer). DGFormer mitigates these limitations by introducing two innovative modules: Dual-Granularity Attention (DG Attention) and Efficient Feed-Forward Network (Efficient FFN). In our experiments, on the image recognition task of ImageNet, DGFormer surpasses lightweight models such as PVTv2-B0 and Swin Transformer by 2.3% in terms of Top1 accuracy. On the object detection task of COCO, under RetinaNet detection framework, DGFormer outperforms PVTv2-B0 and Swin Transformer with increase of 0.5% and 2.4% in average precision (AP), respectively. Similarly, under Mask R-CNN detection framework, DGFormer exhibits improvement of 0.4% and 1.8% in AP compared to PVTv2-B0 and Swin Transformer, respectively. On the semantic segmentation task on the ADE20K, DGFormer achieves a substantial improvement of 2.0% and 2.5% in mean Intersection over Union (mIoU) over PVTv2-B0 and Swin Transformer, respectively. The code is open-source and available at: https://github.com/ISCLab-Bistu/DGFormer.git.
Bi-layer deep feature fusion based mineral classification using hand-specimen images
Authors: Behera Santi Kumari , Rao Mannava Srinivasa , Amat Rajat , Sethy Prabira Kumar
Published: January 2024

Mineral classification is a crucial task for geologists. Minerals are identified by their characteristics. In the field, geologists can identify minerals by examining lustre, color, streak, hardness, crystal habit, cleavage, fracture, and specific features. Geologists sometimes use a magnifying hand lens to identify minerals in the field. Surface color can assist in identifying minerals. However, it varies widely, even within a single mineral family. Some minerals predominantly show a single color. So, identifying minerals is possible considering surface color and texture. But, again, a limited database of minerals is available with large-scale images. So, the challenges arise to identify the minerals using their images with limited images. With the advancement of machine learning, the deep learning approach with bi-layer feature fusion enhances the dimension of the feature vector with the possibility of high accuracy. Here, an experimental analysis is reported with three possibilities of bi-layer feature fusion of three CNN models like Alexnet, VGG16 & VGG19, and a framework is suggested. Alexnet delivers the highest performance with the bi-layer fusion of fc6 and fc7. The achieved accuracy is 84.23%, sensitivity 84.23%, specificity 97.37%, precision 84.7%, FPR 2.63%, F1 Score 84.17%, MCC 81.75%, and Kappa 53.59%.
On the metric-based resolving parameter of the line graph of certain structures
Authors: Koam Ali N.A. , Ahmad Ali , Azeem Muhammad , Qahiti Raed
Published: January 2024

Let G be a graph and R = {r1, r2, …, rk} be an ordered subset of vertices of G, if every two vertices of G have different representation r (v|R) = (d (v, r1) , d (v, r2) , …, d (v, rk)) with respect to R, then R is said to be a metric-based resolving parameter or resolving set of G and its minimum cardinality is called the metric dimension of graph G . Metric dimension is considered as an important applied concept of graph theory especially in the localization of a network and also in the chemical graph theoretical study of molecular compounds. Therefore, it is hot topic to study for different families of graphs as well. Convex polytopes play an important role both in various branches of mathematics and in applied areas, most notably in linear programming. In this paper, we determine the metric-based resolving parameter of line graph of a convex polytope Sn, and conclude that it has constant metric dimension but vary with the parity of n . This article presents a measurement of the line graph of a convex polytope, denoted as ( S n ) . The subsequent section provides the metric dimension of the resulting graph. There are two scenarios pertaining to the metric dimension of a selected graph with respect to the metric dimension. The metric dimension of even cycle-based convex polytopes is three, whereas for other values, the metric dimension is four.
Future directions of artificial intelligence integration: Managing strategies and opportunities
Authors: Sundar R. , Choudhury Ziaul Haque , Chiranjivi M. , Parasa Gayatri , Ravuri Praseeda , Sivaram M. , Subramanian Balambigai , Muppavaram Kireet , Lakshmi.Challa Vijaya Madhavi
Published: January 2024

Embracing Artificial Intelligence (AI) is becoming more common in a variety of areas, including healthcare, banking, and transportation, and it is based on substantial data analysis. However, utilizing data for AI raises a number of obstacles. This extensive article examines the challenges connected with using data for AI, including data quality, volume, privacy and security, bias and fairness, interpretability and ethical considerations, and the required technical knowledge. The investigation delves into each obstacle, providing insightful solutions for businesses and organizations to properly handle these complexities. Organizations may effectively harness AI’s capabilities to make educated decisions by understanding and proactively tackling these difficulties, obtaining a competitive edge in the digital era. This review study, which provides a thorough examination of numerous solutions developed over the last decade to address data difficulties for AI, is expected to be a helpful resource for the scientific research community. It not only provides insights into current difficulties, but it also serves as a platform for creating novel ideas to alter our approaches to data strategies for AI.
Immediate effects of a novel hand rehabilitation board on fine motor skills in children with cerebral palsy: A pilot study
Authors: Narayan Amitesh , Joshua Abraham M. , Fernandes Romita , Karnad Shreekanth D. , Alammari Abdulaziz , Chauhan Namrata S. , Almgamese Mohand Taleb D.
Published: January 2024

BACKGROUND: In children with cerebral palsy (CP), fine motor skills limit forearm supination and active extension of the elbow, wrist, or fingers. Therapeutic interventions focusing on improving the ranges at these joints while facilitating active movements are the key to augmenting fine motor skills. OBJECTIVE: This pilot study examines if children with CP (with UE involvement) exposed to the Novel Hand Rehabilitation (NHR) Board will demonstrate 1) changes in spasticity and passive ROM of forearm and wrist/finger muscles, and 2) improvement in fine motor abilities. METHODS: The forearm and wrist/fingers of children with spastic CP (N = 15; M = 7, F = 8) aged 49–72 months (65.33±6.355 months) were positioned on the NHR board till their tolerance limit or a minimum duration of 30 minutes. The outcome measures, i.e., spasticity (Modified Ashworth Scale), passive range of motion (PROM) of wrist and fingers, and fine motor skills (PDMS-2 - Fine motor scale), were recorded. RESULTS: The spasticity of forearm pronators (0.001) and wrist flexors (0.008) reduced significantly, but not in wrist extensors. Post-intervention improvements in wrist extension (p = 0.005) and ulnar deviation ROM (p = 0.007) were significant. In thumb, changes were non-significant for the CMC flexion, but extension (0.003) and abduction (0.001) as well as MCP extension (0.004) were significant. The post-intervention MCP extension ROM for the 2nd (0.001), 3rd (0.007), and 4th fingers (0.014) were also substantial, but not for PIP and DIP joints. The post-intervention percentage change in the Grasping and Visual-motor integration subtests of PDMS-2 was 11.03% (p = 0.002) and 5.09% (p = 0.001) respectively. CONCLUSION: The immediate effects on fine motor skills in children with CP after the NHR board application were positive and encouraging. Hence, the NHR board can be recommended as an intervention to improve the fine motor abilities of children with CP.
What Motivates the Gold Traders to Fulfill Zakat on Gold Compliance? Discovering the Internal and External Factors
Authors: Virgiawan Rheyza , Al-Qudry Anas , Pusparini Martini Dwi
Published: January 2024

Zakat is an obligatory charitable giving that holds immense significance in the lives of Muslims worldwide. While zakat is primarily associated with financial assets, such as money and agricultural produce, one specific aspect often overlooked is Zakat on gold. This study attempts to discover what factors shape the perception of gold traders towards fulfilling gold zakat compliance. In this study, primary data was collected from 18 gold traders at Lambaro Ingin Jaya Market, Aceh Besar, through in-depth interviews. The study discovered that the perception of gold traders at Lambaro Market, Ingin Jaya, Aceh Besar, regarding the fulfillment of zakat on gold is motivated by a combination of internal and external factors. The internal factors encompass elements such as attitude, level of faith, knowledge, awareness, self-satisfaction, and moral values driven by the desire to seek the pleasure of Allah SWT. Conversely, external factors consist of educational elements, social values inherent in zakat, and the level of trust placed in amil zakat institutions. Additionally, the perception towards zakat on gold compliance is influenced by inhibiting and supporting factors. Inhibiting factors encompass statutory policies, traditional attitudes, and the impact of the Covid-19 Pandemic. In the other hand, supporting factors involve the awareness of gold traders in fulfilling zakat obligations and their altruistic or socially sensitive inclinations.
Good and Bad Corporate Social Responsibility in Islamic Business Ethics Perspective
Authors: Triwibowo Ananto , Baidhowi Muhammad Mujib , Sugeng Anggoro
Published: January 2024

Abstract

This research aims to analyze good and bad corporate social responsibility practices when viewed with Islamic business ethics. The method used is a qualitative method with a grounded theory approach using secondary data sources where the source comes from several examples of company cases in Indonesia which are then reviewed with literature on Islamic business ethics in particular and Islamic economics in general. The results of the study concluded that the application of business social responsibility that is less professional actually has a negative impact on the company itself. One example of violations that occur in the application of corporate social responsibility is the practice of corruption and policies that only provide benefits for certain groups. In Islamic business ethics, the implementation of good corporate social responsibility can refer to the maqasid sharia principle, namely with the aim of protecting religion, soul, mind, property, and lineage
Effects of Trunk Stabilization Training by Breathing Exercise on the Pulmonary Functions
Authors:   Korean Academy of Cardiorespiratory Physical Therapy, Ha Mi-Sook , Han Dong-Wook
Published: January 2024

Purpose: The purpose of this study is to examine the effects of trunk stabilization training on pulmonary functions and respiratory muscle activity.
Methods: All participants in this study were healthy and participated voluntarily. The participants were divided into 2 groups (10 people in the control group and 10 people in the trunk stabilization training group). The experimental group had trunk stabilization training with breathing exercises and the control group performed breathing exercises for 4 weeks. Pulmonary functions were assessed. Digital spirometry (Pony FX, COSMED Inc., Italy) and free EMG (Apsun, Inc., Italy) were used in order to determine the changes in the respiratory muscle. The SPSSWIN (version 21.0) package program was used for the statistical analysis.
Results: The trunk stabilization training group (p<.05) had a significant difference in the forced expiratory volume in 1 second, forced vital capacity, inspiratory reserve volume, inspiratory capacity, and maximal voluntary ventilation prior to and after exercises. The control group, however, showed no change. No significant difference was seen in the change in respiratory muscular activity between the two groups.
Conclusion: In order to improve pulmonary functions, application of trunk stabilization training can be a particularly effective intervention method.
Organizational Homeostasis: A Quantum Theoretical Exploration With Bohmian and Prigoginian Systemic Insights
Authors: Leong David
Published: January 2024

This research investigates the intricate dynamics of systemic well-being within organizational frameworks, intertwining Bohm’s idea of ‘wholeness’ and Prigogine’s perspective on equilibrium. By rooting its exploration in wave analogies and quantum principles like superposition, non-locality, and entanglement, the study highlights the fluctuation (far-from-equilibrium) in systems around a balanced state. Contrasting conventional ideas of stability, Prigogine emphasized the constant divergence systems experience while pursuing equilibrium.

This study investigates the complex dynamics of systemic well-being within organizational structures, drawing upon Bohm’s concept of ‘wholeness’ and Prigogine’s theories on equilibrium. It employs wave analogies and quantum principles such as superposition, non-locality, and entanglement to illuminate the nature of fluctuations in systems striving for a balanced state. Consequently, this research advocates for a paradigmatic shift in organizational strategies, orienting towards a balanced approach underpinned by scientific principles. This shift is proposed as a means to address and bridge existing management gaps.

Within this context, organizations demand versatile strategies aligned with dissipative structures, utilizing external energies to uphold internal coherence amidst potential chaos. Moreover, elevated through mindful strategies, corporate consciousness offers insights into temporal dynamics, enhancing decision-making, resilience against market fluctuations, and fostering an enriched organizational ethos rooted in present awareness. Consequently, the emergent corporate entity, invigorated by this heightened consciousness and need for corporate alignment and coherence, excels in present conditions and is adept at anticipating and addressing future challenges. This paper introduces “Mindful Corporate Entity” (‘MCE’), underscoring the essence of mindfulness as a cardinal strategy to ensure holistic organizational well-being and enduring sustainability.