bluuebunny/crossref_metadata_2025 huggingface dataset:
Contextuality or Nonlocality: What Would John Bell Choose Today?
Authors: Kupczynski Marian
Published: February 2023

A violation of Bell-CHSH inequalities does not justify speculations about quantum non-locality, conspiracy and retro-causation. Such speculations are rooted in a belief that setting dependence of hidden variables in a probabilistic model (called a violation of measurement independence (MI)) would mean a violation of experimenters’ freedom of choice. This belief is unfounded because it is based on a questionable use of Bayes Theorem and on incorrect causal interpretation of conditional probabilities. In Bell-local realistic model, hidden variables describe only photonic beams created by a source, thus they cannot depend on randomly chosen experimental settings. However, if hidden variables describing measuring instruments are correctly incorporated into a contextual probabilistic model a violation of inequalities and an apparent violation of no-signaling reported in Bell tests can be explained without evoking quantum non-locality. Therefore, for us, a violation of Bell-CHSH inequalities proves only that hidden variables have to depend on settings confirming contextual character of quantum observables and an active role played by measuring instruments. Bell thought that he had to choose between non-locality and the violation of experimenters’ freedom of choice. From two bad choices he chose non-locality. Today he would probably choose the violation of MI understood as contextuality.
A Glimpse into Quantum Triplet Structures in Supercritical 3He
Authors: Sesé Luis M.
Published: February 2023

A methodological study of triplet structures in quantum matter is presented. The focus is on helium-3 under supercritical conditions (4 < T/K < 9; 0.022 < ρN/Å−3 < 0.028), for which strong quantum diffraction effects dominate the behavior. Computational results for the triplet instantaneous structures are reported. Path integral Monte Carlo (PIMC) and several closures are utilized to obtain structure information in the real and the Fourier spaces. PIMC involves the fourth-order propagator and the SAPT2 pair interaction potential. The main triplet closures are: AV3, built as the average of the Kirkwood superposition and the Jackson–Feenberg convolution, and the Barrat–Hansen–Pastore variational approach. The results illustrate the main characteristics of the procedures employed by concentrating on the salient equilateral and isosceles features of the computed structures. Finally, the valuable interpretive role of closures in the triplet context is highlighted.
Estimating the Dominant Life Phase Concerning the Effects of Battery Degradation on CO2 Emissions by Repetitive Cycle Applications: Case Study of an Industrial Battery System Installed in an Electric Bus
Authors: Takahashi Reiko , Negishi Koji , Noda Hideki , Mizutani Mami
Published: February 2023

Many studies have evaluated CO2 emission from batteries. However, the impact of Li-ion battery (LiB) degradation on the CO2 emissions from the material through operation phases has not been sufficiently examined. This study aims to clarify the dominant CO2 emission phase and the impact of the degradation of general industrial LiBs from repetitive cycle applications. We developed a model common to general LiB composition and calculated CO2 emissions by the LCA method using the IDEA database. Our model simplifies the degradation process, including capacity decrease and internal resistance increase. We used it in a sensitivity analysis of the carbon intensity of electricity charged to a LiB. The loss mechanism was determined by experimental data for an electric bus with an industrial LiB. The results illustrate that the carbon intensity of electricity affects CO2 emissions dominance, the operation phase for mix (71.3%), and the material phase for renewables (70.9%), and that battery degradation over six years increases the total amount of CO2 emissions by 11.8% for mix and 3.9% for renewables equivalent. Although there are limitations regarding the assumed conditions, the present results will contribute to building a method for monitoring emissions and to standardizing degradation calculations.
Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods
Authors: Palanivinayagam Ashokkumar , Damaševičius Robertas
Published: February 2023

The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification accuracy negatively. To address this challenge, we introduce the use of Support Vector Machine (SVM) regression for imputing the missing values. Additionally, we propose a two-level classification process to reduce the number of false classifications. Our evaluation of the proposed method was conducted using the PIMA Indian dataset for diabetes classification. We compared the performance of five different machine learning models: Naive Bayes (NB), Support Vector Machine (SVM), k-Nearest Neighbours (KNN), Random Forest (RF), and Linear Regression (LR). The results of our experiments show that the SVM classifier achieved the highest accuracy of 94.89%. The RF classifier had the highest precision (98.80%) and the SVM classifier had the highest recall (85.48%). The NB model had the highest F1-Score (95.59%). Our proposed method provides a promising solution for detecting diabetes at an early stage by addressing the issue of missing values in the dataset. Our results show that the use of SVM regression and a two-level classification process can notably improve the performance of machine learning models for diabetes classification. This work provides a valuable contribution to the field of diabetes research and highlights the importance of addressing missing values in machine learning applications.
Surface-Coated Acupuncture Needles as Solid-Phase Microextraction Probes for In Vivo Analysis of Bioactive Molecules in Living Plants by Mass Spectrometry
Authors: Cheng Huiyun , Zhao Xu , Zhang Lin , Ma Mingying , Ma Xiaoxiao
Published: February 2023

In this work, we report the coupling of solid-phase microextraction (SPME) enabled by surface-coated acupuncture needles with nano-electrospray mass spectrometry (nanoESI-MS) for the analysis of bioactive molecules in living plants. The needle tip was oxidized by a mixture of nitric acid and hydrogen peroxide solution and then subject to surface coating via carbonization of paraffin. A combination of oxidation and surface coating resulted in a thin coating of carbon film, whereby the significantly increased surface area promoted both analyte enrichment and ionization for MS analysis. The analytical performances were evaluated through the characterization of small molecules, peptides and proteins. Compared with conventional nanoESI, our new strategy of employing surface-coated needles had a high salt tolerance. The streamlined experimental workflow could be completed within one minute. The linear dynamic ranges for L-histidine and L-lysine, as two representatives, were over two orders of magnitude with a limit of detection (LOD) of 3.0~5.0 ng/mL. A mark is made on the needle at 2 mm from the tip, the needle is then kept in the sample for 30 s. In vivo sampling and identification of α-tomatine and organic acids from the stem of a living tomato plant were demonstrated as a practical application, while the physiological activities of the plant were not disrupted due to the minimally invasive sampling. We anticipate that the developed strategy may be of potential use for real-time clinical and other on-site analyses.
Highly Reliable Multicomponent MEMS Sensor for Predictive Maintenance Management of Rolling Bearings
Authors: Landi Elia , Prato Andrea , Fort Ada , Mugnaini Marco , Vignoli Valerio , Facello Alessio , Mazzoleni Fabrizio , Murgia Michele , Schiavi Alessandro
Published: February 2023

In the field of vibration monitoring and control, the use of low-cost multicomponent MEMS-based accelerometer sensors is nowadays increasingly widespread. Such sensors allow implementing lightweight monitoring systems with low management costs, low power consumption and a small size. However, for the monitoring systems to provide trustworthy and meaningful data, the high accuracy and reliability of sensors are essential requirements. Consequently, a metrological approach to the calibration of multi-component accelerometer sensors, including appropriate uncertainty evaluations, are necessary to guarantee traceability and reliability in the frequency domain of data provided, which nowadays is not fully available. In addition, recently developed metrological characterizations at the microscale level allow to provide detailed and accurate quantification of the enhanced technical performance and the responsiveness of these sensors. In this paper, a dynamic calibration procedure is applied to provide the sensitivity parameters of a low-cost, multicomponent MEMS sensor accelerometer prototype (MDUT), designed, developed and realized at the University of Siena, conceived for rolling bearings vibration monitoring in a broad frequency domain (from 10 Hz up to 25 kHz). The calibration and the metrological characterization of the MDUT are carried out by comparison to a reference standard transducer, at the Primary Vibration Laboratory of the National Institute of Metrological Research (INRiM).
Design and Analysis of Circular Polarized Two-Port MIMO Antennas with Various Antenna Element Orientations
Authors: Taher Fatma , Hamadi Hussam Al , Alzaidi Mohammed S. , Alhumyani Hesham , Elkamchouchi Dalia H. , Elkamshoushy Yasser H. , Haweel Mohammad T. , Sree Mohamed Fathy Abo , Fatah Sara Yehia Abdel
Published: February 2023

This article presents the circularly polarized antenna operating over 28 GHz mm-wave applications. The suggested antenna has compact size, simple geometry, wideband, high gain, and offers circular polarization. Afterward, two-port MIMO antenna are designed to get Left Hand Circular Polarization (LHCP) and Right-Hand Circular Polarization (RHCP). Four different cases are adopted to construct two-port MIMO antenna of suggested antenna. In case 1, both of the elements are placed parallel to each other; in the second case, the element is parallel but the radiating patch of second antenna element are rotated by 180°. In the third case, the second antenna element is placed orthogonally to the first antenna element. In the final case, the antenna is parallel but placed in the opposite end of substrate material. The S-parameters, axial ratio bandwidth (ARBW) gain, and radiation efficiency are studied and compared in all these cases. The two MIMO systems of all cases are designed by using Roger RT/Duroid 6002 with thickness of 0.79 mm. The overall size of two-port MIMO antennas is 20.5 mm × 12 mm × 0.79 mm. The MIMO configuration of the suggested CP antenna offers wideband, low mutual coupling, wide ARBW, high gain, and high radiation efficiency. The hardware prototype of all cases is fabricated to verify the predicated results. Moreover, the comparison of suggested two-port MIMO antenna is also performed with already published work, which show the quality of suggested work in terms of various performance parameters over them.
Redox Active Molecules in Cancer Treatments
Authors: Stepanić Višnja , Kučerová-Chlupáčová Marta
Published: February 2023

Cancer is one of the leading causes of death worldwide, with nearly 10 million deaths in 2020 [...]
Polyethylene Glycol Functionalized Silicon Nanowire Field-Effect Transistor Biosensor for Glucose Detection
Authors: Zhu Yan , Wei Qianhui , Jin Qingxi , Li Gangrong , Zhang Qingzhu , Xiao Han , Li Tengfei , Wei Feng , Luo Yingchun
Published: February 2023

Accurate monitoring of blood glucose levels is crucial for the diagnosis of diabetes patients. In this paper, we proposed a simple “mixed-catalyzer layer” modified silicon nanowire field-effect transistor biosensor that enabled direct detection of glucose with low-charge in high ionic strength solutions. A stable screening system was established to overcome Debye screening effect by forming a porous biopolymer layer with polyethylene glycol (PEG) modified on the surface of SiNW. The experimental results show that when the optimal ratio (APTMS:silane-PEG = 2:1) modified the surface of silicon nanowires, glucose oxidase can detect glucose in the concentration range of 10 nM to 10 mM. The sensitivity of the biosensor is calculated to be 0.47 μAcm−2mM−1, its fast response time not exceeding 8 s, and the detection limit is up to 10 nM. This glucose sensor has the advantages of high sensitivity, strong specificity and fast real-time response. Therefore, it has a potential clinical application prospect in disease diagnosis.
Jeong Hagok on Emotions and the Korean Four-Seven Debate: A Confucian, Comparative, and Contemporary Interpretation
Authors: Chung Edward Y. J.
Published: February 2023

This article presents Jeong Jedu (Hagok; 1649–1736) on the topic of emotions and its comparative and contemporary relevance. It discusses this leading neo-Confucian thinker’s thought-provoking Four-Seven thesis and its vital implication for self-cultivation and ethics. This important topic has not been discussed in current scholarship on Korean Confucianism. The article begins with the Confucian notion of emotions (jeong/qing, 情), according to its textual and philosophical background in the Chinese tradition, and then covers key issues regarding the “Four Beginnings” of virtue, the “Seven Emotions”, and leading neo-Confucian perspectives by Zhu Xi (1130–1200) and Wang Yangming (1472–1529). The article also provides a brief comparative analysis of Toegye’s and Yulgok’s leading Korean opinions on the nature, role, and problem of emotions. The third section focuses on Hagok’s interpretation in the same context. The fourth section discusses Hagok’s ethics and spirituality of emotions in terms of the mind’s original essence (bonche/benti) and innate knowledge (of good) (yangji/liangzhi) in connection to Wang Yangming’s doctrines. The final section concludes by considering the originality and distinctiveness of Hagok’s holistic interpretation. It also presents my contemporary reflections to articulate how Hagok’s groundbreaking insights compare with certain Western theories of emotions and why they offer a worthwhile resource for comparative philosophy, religion, and ethics.
Food Culture, Religious Belief and Community Relations: An Ethnographic Study of the Overseas Chinese Catholic
Authors: Xiong Wei
Published: February 2023

Religion and food culture are two closely related topics in the Christian discourse and have been the subject of extensive anthropological research. This paper takes the Boston Chinese Catholics as a case study, and it adopts an ethnographic research methodology to explore the ways in which the sense of belonging develops in the Church community, based on the analysis of food culture in this context. Chinese Catholics in Boston are mainly Fujian and Hong Kong immigrants, and the class, status, and economic differences between these two communities are well apparent. The Boston Chinese Catholic Church divides food into sacred and secular. During religious rituals, all Catholics share the sacred food, the Holy Body and the Holy Blood, which symbolize the unity of the Catholic Church. In everyday life, Fujian Catholic and Hong Kong Catholic community members follow the dietary habits of their community to maintain a division between each community’s traditions. Over the years, the Boston Chinese Catholic Church has developed a flexible strategy—externally consistent and internally differentiated—to maintain the unity of the Church while embracing the cultural differences of its members. This flexible strategy has also influenced the way in which the Boston Chinese Catholic Church operates. This study indicates that we need to place more emphasis on the diversity and complexity of the members of the overseas Chinese Catholic Church and the specificities of the Catholic religion’s discourse so that we can better understand the overall practices and methods of overseas Chinese Catholicism. This study is a catalyst for the study of overseas Chinese Catholicism, as well as the study of food culture, religion, community, and identity in that context.
The 0-3 Lead Zirconate-Titanate (PZT)/Polyvinyl-Butyral (PVB) Composite for Tactile Sensing
Authors: Jo Eun-Bee , Lee Yoon-A , Cho Yoon-A , Günther Paul A. , Gebhardt Sylvia E. , Neubert Holger , Kim Hyun-Seok
Published: February 2023

In this study, a 0-3 piezoelectric composite based on lead zirconate-titanate (PZT)/polyvinyl-butyral (PVB) was fabricated and characterized for its potential application in tactile sensing. The 0-3 composite was developed to incorporate the advantages of both ceramic and polymer. The paste of 0-3 PZT–PVB composite was printed using a conventional screen-printing technique on alumina and mylar substrates. The thickness of the prepared composite was approximately 80 μm. After printing the top electrode of the silver paste, 10 kV/mm of DC field was applied at 25 °C, 120 °C, and 150 °C for 10 min to align the electric dipoles in the composite. The piezoelectric charge coefficient of d33 and the piezoelectric voltage coefficient of g33 were improved by increasing the temperature of the poling process. The maximum values of d33 and g33 were 14.3 pC/N and 44.2 mV·m/N, respectively, at 150 °C. The sensor’s sensitivity to the impact force was measured by a ball drop test. The sensors showed a linear behavior in the output voltage with increasing impact force. The sensitivity of the sensor on the alumina and mylar substrates was 1.368 V/N and 0.815 V/N, respectively. The rising time of the sensor to the finger touch was 43 ms on the alumina substrate and 35 ms on the mylar substrate. Consequently, the high sensitivity and fast response time of the sensor make the 0-3 PZT–PVB composite a good candidate for tactile sensors.
Efficient Stereo Depth Estimation for Pseudo-LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder
Authors: Hossain Sabir , Lin Xianke
Published: February 2023

Perception and localization are essential for autonomous delivery vehicles, mostly estimated from 3D LiDAR sensors due to their precise distance measurement capability. This paper presents a strategy to obtain a real-time pseudo point cloud from image sensors (cameras) instead of laser-based sensors (LiDARs). Previous studies (such as PSMNet-based point cloud generation) built the algorithm based on accuracy but failed to operate in real time as LiDAR. We propose an approach to use different depth estimators to obtain pseudo point clouds similar to LiDAR to achieve better performance. Moreover, the depth estimator has used stereo imagery data to achieve more accurate depth estimation as well as point cloud results. Our approach to generating depth maps outperforms other existing approaches on KITTI depth prediction while yielding point clouds significantly faster than other approaches as well. Additionally, the proposed approach is evaluated on the KITTI stereo benchmark, where it shows effectiveness in runtime.
A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing
Authors: Hu Youxi , Liu Chao , Zhang Ming , Jia Yu , Xu Yuchun
Published: February 2023

Remanufacturing prolongs the life cycle and increases the residual value of various end-of-life (EoL) products. As an inevitable process in remanufacturing, disassembly plays an essential role in retrieving the high-value and useable components of EoL products. To disassemble massive quantities and multi-types of EoL products, disassembly lines are introduced to improve the cost-effectiveness and efficiency of the disassembly processes. In this context, disassembly line balancing problem (DLBP) becomes a critical challenge that determines the overall performance of disassembly lines. Currently, the DLBP is mostly studied in straight disassembly lines using single-objective optimization methods, which cannot represent the actual disassembly environment. Therefore, in this paper, we extend the mathematical model of the basic DLBP to stochastic parallel complete disassembly line balancing problem (DLBP-SP). A novel simulated annealing-based hyper-heuristic algorithm (HH) is proposed for multi-objective optimization of the DLBP-SP, considering the number of workstations, working load index, and profits. The feasibility, superiority, stability, and robustness of the proposed HH algorithm are validated through computational experiments, including a set of comparison experiments and a case study of gearboxes disassembly. To the best of our knowledge, this research is the first to introduce gearboxes as a case study in DLBP which enriches the research on disassembly of industrial equipment.
Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning
Authors: Higashi Takaaki , Ogawa Naoki , Maeda Keisuke , Ogawa Takahiro , Haseyama Miki
Published: February 2023

This study presents a method for distress image classification in road infrastructures introducing self-supervised learning. Self-supervised learning is an unsupervised learning method that does not require class labels. This learning method can reduce annotation efforts and allow the application of machine learning to a large number of unlabeled images. We propose a novel distress image classification method using contrastive learning, which is a type of self-supervised learning. Contrastive learning provides image domain-specific representation, constraining such that similar images are embedded nearby in the latent space. We augment the single input distress image into multiple images by image transformations and construct the latent space, in which the augmented images are embedded close to each other. This provides a domain-specific representation of the damage in road infrastructure using a large number of unlabeled distress images. Finally, the representation obtained by contrastive learning is used to improve the distress image classification performance. The obtained contrastive learning model parameters are used for the distress image classification model. We realize the successful distress image representation by utilizing unlabeled distress images, which have been difficult to use in the past. In the experiments, we use the distress images obtained from the real world to verify the effectiveness of the proposed method for various distress types and confirm the performance improvement.
Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
Authors: Wang Chunzheng , Ma Jianshe , Cai Chao , Su Ping
Published: February 2023

Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing.
Correction of Dynamical Properties of Data Acquisition Systems
Authors: Figwer Jarosław , Michalczyk Małgorzata I.
Published: February 2023

Accurate and fast measurements are important in many areas of everyday engineering and research activities. This paper proposes a method that gives such measurements, additionally shortening the time in which they are obtained. To achieve this, a supplementary discrete-time filter, estimating values of delayed samples of the measured signal, is attached to the output of the data acquisition system. This filter is identified with the use of classical estimation methods, based on a dynamical model of the data acquisition system. The definition of the cost function minimised during filter identification depends on the nature of the environment in which measurements are acquired. The considerations presented in this paper are illustrated with four corresponding simulated case study examples. They show how, in a very simple way, dynamical properties of data acquisition systems may be corrected, and thus improved, using the corresponding supplementary discrete-time filters. The improvement, measured by the correction quality index introduced in the paper, was from a few times up to more than 100. The paper also raises the issue of obtaining models for tuning of the supplementary discrete-time filter. The considerations presented may be applied to formulate the artificial intelligence of data acquisition systems as well as sensors. Finally, the paper proposes to implement this intelligence as a knowledge base of the expert system.
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies
Authors: Escobar-Linero Elena , Muñoz-Saavedra Luis , Luna-Perejón Francisco , Sevillano José Luis , Domínguez-Morales Manuel
Published: February 2023

The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In this work, we carried out a detailed study on the use of these devices (regarding the general trends); we analyzed the research works and devices marketed in the last 10 years. This analysis extracted relevant information on the general trend of use, as well as more specific aspects, such as the use of sensors, communication technologies, and diseases. A comparison was made between the commercial and research aspects linked to wearables in the healthcare field, and upcoming trends were analyzed.
Detection of False Data Injection Attacks in Smart Grids Based on Expectation Maximization
Authors: Hu Pengfei , Gao Wengen , Li Yunfei , Wu Minghui , Hua Feng , Qiao Lina
Published: February 2023

The secure operation of smart grids is closely linked to state estimates that accurately reflect the physical characteristics of the grid. However, well-designed false data injection attacks (FDIAs) can manipulate the process of state estimation by injecting malicious data into the measurement data while bypassing the detection of the security system, ultimately causing the results of state estimation to deviate from secure values. Since FDIAs tampering with the measurement data of some buses will lead to error offset, this paper proposes an attack-detection algorithm based on statistical learning according to the different characteristic parameters of measurement error before and after tampering. In order to detect and classify false data from the measurement data, in this paper, we report the model establishment and estimation of error parameters for the tampered measurement data by combining the the k-means++ algorithm with the expectation maximization (EM) algorithm. At the same time, we located and recorded the bus that the attacker attempted to tamper with. In order to verify the feasibility of the algorithm proposed in this paper, the IEEE 5-bus standard test system and the IEEE 14-bus standard test system were used for simulation analysis. Numerical examples demonstrate that the combined use of the two algorithms can decrease the detection time to less than 0.011883 s and correctly locate the false data with a probability of more than 95%.
A New Approach to Quantifying Muscular Fatigue Using Wearable EMG Sensors during Surgery: An Ergonomic Case Study
Authors: Merbah Johan , Caré Bertrand R. , Gorce Philippe , Gadea François , Prince François
Published: February 2023

(1) Background: Surgeons are exposed to musculoskeletal loads that are comparable to those of industrial workers. These stresses are harmful for the joints and muscles and can lead to musculoskeletal disorders (MSD) and working incapacity for surgeons. In this paper, we propose a novel ergonomic and visualization approach to assess muscular fatigue during surgical procedures. (2) Methods: The activity of eight muscles from the shoulder girdle and the cervical/lumbar spines were evaluated using position and electromyographic wearable sensors while a surgeon performed an arthroscopic rotator-cuff surgery on a patient. The time and frequency-domain variables of the root-mean-square amplitude and mean power frequency, respectively, were calculated from an electromyographic signal. (3) Results: The entire surgical procedure lasted 73 min and was divided into 10 sub-phases associated with specific level of muscular activity and fatigue. Most of the muscles showed activity above 60%, while the middle trapezius muscles were almost constantly activated (>20%) throughout the surgical procedure. (4) Conclusion: Wearable sensors can be used during surgical procedure to assess fatigue. Periods of low-to-high activity and fatigue can be evaluated and visualized during surgery. Micro-breaks throughout surgical procedures are suggested to avoid fatigue and to prevent the risk of developing MSD.
Numerical Approaches for Recovering the Deformable Membrane Profile of Electrostatic Microdevices for Biomedical Applications
Authors: Versaci Mario , Morabito Francesco Carlo
Published: February 2023

Recently, a circular symmetrical nonlinear stationary 2D differential model for biomedical micropumps, where the amplitude of the electrostatic field is locally proportional to the curvature of the membrane, was studied in detail. Starting from this, in this work, we first introduce a positive and limited function to model the dielectric properties of the material constituting the membrane according to experimental evidence which highlights that electrostatic capacitance variation occurs when the membrane deforms. Therefore, we present and discuss algebraic conditions of existence, uniqueness, and stability, even with the fringing field formulated according to the Pelesko–Driskoll theory, which is known to take these effects into account with terms characterized by reduced computational loads. These conditions, using “gold standard” numerical approaches, allow the optimal numerical recovery of the membrane profile to be achieved under different load conditions and also provide an important criterion for choosing the intended use of the device starting from the choice of the material constituting the membrane and vice versa. Finally, important insights are discussed regarding the pull-in voltage and electrostatic pressure.
A Method for Autonomous Generation of High-Precision Time Scales for Navigation Constellations
Authors: Yang Shitao , Yi Xiao , Dong Richang , Ren Qianyi , Li Xupeng , Shuai Tao , Zhang Jun , Gong Wenbin
Published: February 2023

The time maintenance accuracy of the navigation constellation determines the user positioning and timing performance. Especially in autonomous operation scenarios, the performance of navigation constellation maintenance time directly affects the duration of constellation autonomous navigation. Among them, the frequency stability of the atomic clock onboard the navigation satellite is a key factor. In order to further improve the stability of the navigation constellation time-frequency system, combined with the development of high-precision inter-satellite link measurement technology, the idea of constructing constellation-level synthetic atomic time has gradually become the development trend of major GNSS systems. This paper gives a navigation constellation time scale generation framework, and designs an improved Kalman plus weights (KPW) time scale algorithm and time-frequency steer algorithm that integrates genetic algorithms. Finally, a 30-day autonomous timekeeping simulation was carried out using the GPS precision clock data provided by CODE, when the sampling interval is 300 s, the Allan deviation of the output time scale is 5.73 × 10−14, a 71% improvement compared with the traditional KPW time scale algorithm; when the sampling interval is 1 day, the Allan deviation is 9.17 × 10−15; when the sampling interval is 1 × 106 s, the Allan deviation is 8.87 × 10−16, a 94% improvement compared with the traditional KPW time scale algorithm. The constellation-level high-precision time scale generation technology proposed in this paper can significantly improve the stability performance of navigation constellation autonomous timekeeping.
Evaluation of Pressure Types Impacted on Sediment Supply to Dam Reservoirs: Selected Examples of the Outer Western Carpathians Catchments Area
Authors: Absalon Damian , Matysik Magdalena , Pieron Łukasz
Published: February 2023

The proper characteristics of the catchment area of dammed reservoirs is of great importance when managing their capacity in the context of enabling proper functioning, including retention of the planned amount of water and counteracting the effects of drought. Therefore, detailed analyses covered mountain reservoirs with varying degrees of capacity changes: Goczałkowice on the Vistula, Rożnów on the Dunajec and Tresna on the Soła, thanks to which reasons for the differences in these changes were determined. For this purpose, data on the volume of the suspended load was used. Diversity in its transport is mainly caused by the presence of damming structures. Correlation of morphological and hydraulic indicators was carried out, preceded by the identification and characteristics of all transverse and longitudinal structures located in catchments upstream of individual reservoirs. Analysis of the geological structure, as well as the structure of land use in the basins of the reservoirs, was also performed. The obtained results allowed for the preparation of recommendations for further work, allowing, among other things, an increase in water retention. The key factors for maintaining the capacity of retention reservoirs were defined, which may be useful in national plans or programs in the field of counteracting the effects of drought or flood protection.
Ethylene glycol toxicity in two calves
Authors: ÖZYILDIZ Zafer , ÖZMEN Özlem , YILDIZ Ramazan , AKINCI İlker Yusuf , OKUYUCU Gözde , ALTINTAŞ Melike
Published: February 2023

Burdur Mehmet Akif University Veterinary Faculty Animal Hospital was brought from livestock to 3 calves aged between 15 and 20 days with complaints of weakness, dehydration, inability to get up and nervous findings. Two of them failed the treatment and were brought to the pathology department after being euthanized. Both animals were macroscopically dehydrated, cachectic, and had hair loss in some parts of the body. There was 1-2 liters of white light-colored transparent fluid in the abdominal cavity. Many organs and serous membranes in the abdominal cavity were hyperemic. Histopathological examination revealed bleeding, edema and degenerative changes in the heart, lungs and kidneys. Calcium oxalate crystals were found in many tubuler lumens, especially the proximal convoluted tubules in the kidneys. In the light of clinical, macroscopic, and histopathological findings, the case was diagnosed with ethylene glycol toxicity. Ethylene glycol toxicity is often seen in cats and dogs living near industrial or auto car repair shops, and in animals that accidentally drink antifreeze waste. This case report is the first case of ethylene glycol toxicity reported in livestock calves in Türkiye.
MENINGKATKAN HASIL BELAJAR PPKn TEMA 2 PERISTIWA DALAM KEHIDUPAN DENGAN METODE EXAMPLE NON EXAMPLE (ENE)
Authors: Winarti Puspo
Published: February 2023

Abstract ______________________________________________________________The indicators of Civic Education on the Second Theme are limited, then the students have lack on mastering the subject about teamwork in all environments and have low on learning outcomes. So, the purposes of this research are to describe the Civic Education learning on the Second Theme, the Events in this Life and to analyze the enhancement of the students learning outcomes. This Classroom Action Research (CAR) is going on the Fifth Class of Waru 3 General Elementary School on the early period on the First Semester of 2018/2019 Academic Year. The subjects are 21 students (10 boys and 11 girls). Techniques of collecting data are nontest and test. Tools of collecting data are observation sheet, multiple choice test and documentation. Technique of analyzing data is comparative-descriptive. The results are learning by observation and discussion also analyzes the pictures in the small group and learning outcomes enhanced to satisfying category.Learning Outcomes, Civic Education, Events, Example Non Example (ENE) Method
Uma discussão sobre atividades de monitoria: estudo de caso da disciplina metrologia da FEM/UFPA
Authors: Negrão Junior Antonio Sergio da Costa , Pimentel Luciano Matheus Rodrigues , Dia Roberto Yuri Costa , Leal Maria de Fátima Mendes , Veloso Mauro José Guereiro , Rodrigues Leonardo Dantas , Fujiyama Roberto Tetsuo
Published: February 2023

Este trabalho tem como objetivo apresentar a atividade de monitoria ministrada no ano de 2019 na disciplina de Metrologia para a turma do segundo semestre do curso de engenharia mecânica da Universidade Federal do Pará, e também discutir como a atividade de monitoria foi avaliada pelos alunos. O processo de ensino foi dividido em três fases, atividades teóricas, simuladas e práticas. Ao final do curso, foi elaborado um formulário online com 5 questões com o objetivo de saber como a monitoria foi compreendida pelos alunos acompanhados. O formulário foi disponibilizado por meio de uma extensão da plataforma Google. O procedimento avaliativo dividido em três etapas, teórica, simulada e prática, proporcionou uma visão ampla de como ocorre gradativamente a absorção do que é ensinado aos alunos. Observou-se a interação através da forma que os alunos monitorados tiveram uma boa experiência de ensino/aprendizagem proporcionada pela presença do monitor em sala de aula. Um monitor é fundamental para ampliar a disseminação do conhecimento que é repassado do professor para o aluno-monitorado.
Selamento dentinário imediato: revisão de literatura
Authors: Júnior Marcos José de Oliveira , Limeira Pedro Gabriel Tavares , Bezerra Pâmela Tayná Matias , Rodrigues Sandryelle de Andrade , Leite Thiago Bezerra
Published: February 2023

O preparo para restaurações indiretas, por serem extensas, expõe grande quantidade de dentina, sendo necessário um adequado selamento da interface dente-restauração, conseguida por meio do uso de adesivos. O princípio de uma adesão de qualidade é obter uma camada de interface ou interdifusão, conhecida por camada híbrida, entre o material adesivo e a dentina, o que é um desafio para dentística restauradora. A técnica do Selamento Dentinário Imediato aparece com a finalidade de reduzir as consequentes falhas durante o processo de hibridização, com vantagens tanto em relação a resistência de união e a formação de lacunas, quanto à sensibilidade pós-operatória. O obetivo do presente trabalho é apresentar, a partir de uma revisão de literatura, a efetividade da técnica de selamento dentinário imediato, bem com suas vantagens e limitações. Como método, esse trabalho foi realizado a partir de uma revisão de literatura do tipo narrativa, por meio de levantamento bibliográfico, com busca nas bases de dados PUBMED e SCIELO, utilizando artigos apenas na língua inglesa, indexados pelo Qualis acima de B2, publicados no período de 2000 a 2021, utilizando os descritores: “immediate dentin sealing”, “resin coating technique” e “prehybridization”.  Recomendado por melhorar o processo de adesão em processo restaurador indireto, do qual reduz de contaminação, sensibilidade pós operatória, auxilia na manutenção da resistência de união e redução de fraturas. Sendo contraindicado em casos de exposições superficiais de dentina.
Manejo do potro órfão – relato de caso
Authors: Leal Laís Cecato Moura , Feitosa Francisco Leydson Formiga
Published: February 2023

O manejo de potros órfãos é um desafio dentro da equinocultura, pois carecem de maiores exigências de cuidados e monitoramentos. A nutrição e os manejos saudáveis garantem o desenvolvimento e crescimento desses animais de forma mais adequada e semelhante aos que são criados com as próprias mães. Os cuidados com o neonato e o diagnóstico preciso, garantem maiores chances de resolução clínica e perspectiva de vida. O objetivo deste trabalho é abordar as principais temáticas sobre a neonatologia equina e relatar o manejo e particularidades dos cuidados de um potro órfão.
Responsabilidade social das empresas: o compromisso social do sistema OCEMG
Authors: Da Silva Larissa Reis , Brito Letícia Rodrigues , De Souza Iracema Caproni
Published: February 2023

A presente pesquisa tem por objetivo averiguar de que maneira as cooperativas prestam por meio de suas atividades uma atuação com responsabilidade social empresarial. Nesse propósito, utilizou como fonte de suas análises os resultados obtidos nas prestações de contas da Organização das Cooperativas do Estado de Minas Gerais, Sistema Ocemg. A metodologia escolhida foi uma pesquisa bibliográfica, descritiva com abordagem quantitativa por meio de dados dos Relatórios Anuais do Sistema Ocemg no período de 2017 a 2021. Buscou-se nesse sentido, responder a seguinte questão: as informações prestadas demonstram que as cooperativas colocam em prática as exigências da responsabilidade social empresarial?  Ao final, conclui-se que as atividades do Sistema Ocemg avançam para uma gestão de responsabilidade social, com foco não apenas nos seus cooperados, mas na comunidade do entorno, com ações de valores socialmente responsáveis para toda a sociedade.
Ethanol Extract of Passiflora cincinnata Seeds Posses Antidiabetic, Antiglycant, and Antioxidant Activities in vitro
Authors: Knop Luciana , Flávia Adaís Rocha dos Santos  , Elaine Luiza Santos Soares de Mendonça  , Felipe Cabral da Silva  , Jadriane de Almeida Xavier  , J. P. Jose Merlin  , Marília Oliveira Fonseca Goulart  , H. P. Vasantha Rupasinghe
Published: February 2023

This work aimed to investigate the antidiabetic, antiglycation, and antioxidant potentials of the ethanol extract of seeds of Passiflora cincinnata (EPCIN) in vitro. The EPCIN was evaluated from the following assays: total phenolic content (TPC – mg of Gallic Acid Equivalents (GAE)/g of dry extract), Radical Scavenging Assays (DPPH•, HOCl-scavenging assay), and protective effects against glycation of bovine serum albumin (BSA) with methylglyoxal (MGO) or a mixture of reducing sugars, fructose and glucose, as well as the potential for MGO capture by derivatization with ortho-phenylenediamine (OPD). To evaluate the antidiabetic activity of EPCIN in vitro, we used the assays of enzymes α-amylase (4 U/mL), α-glucosidase (0.25 U/mL), and dipeptidyl peptidase-4 (DPP-4 – 3.125 mU). The cell viability of EPCIN-pretreated normal human bronchial epithelial cells (BEAS-2B) alone or in the presence of the carcinogen 4-[(acetoxymethyl)nitrosamine]-1-(3-pyridyl)-1-butanone (NNKOAc) was measured using MTS assay. Quercetin (QCT), piceatannol (PIC), acarbose (ACB), and sitagliptin (STG) were used for comparison purposes. EPCIN had an average of TPC 157.0 ± 1.5 mg of GAE/g of dry extract, exhibited IC50 for DPPH• and HOCl of 11.9 ± 1.8 μg/mL and 6.9 ± 0.9 μg/mL, respectively. EPCIN and AMG inhibited the formation of advanced glycation end-products (AGE) with IC50 of 574 ± 8.7 and 31.9 ± 2.7 μg/mL for the initial stage and 542.6 ± 2.7 and 52.8 ± 8.1 μg/mL for the intermediate stage of glycation, respectively. EPCIN showed IC50 for α-amylase and α-glucosidase of 218.2 ± 15.9 μg/mL (p<0,05) and 242.0 ± 25 μg/mL (p<0,05), respectively. EPCIN did not show cytotoxicity for BEAS-2B cells at 10 and 50 μg/mL concentrations. In addition, it was also able to protect cultured human cells from oxidative stress caused by the NNKOAc at100 μM. The in vitro evidence of the potential antioxidant, antiglycant, and antidiabetic effects warrants further investigation of the antidiabetic potential of Passiflora cincinnata seeds.
Signal Acquisition Methods for Vital and Nonvital Parameters in Electronic Health Devices: A Scoping Review
Authors: Thiago Cardoso Maia  , Maely Guilherme Botelho Coelho Filho  , Yasmim Batista Oliveira  , Luiza Zanoni Barbi  , Thamiles Rodrigues de Melo  , Valter Estevão Beal  , Valéria Loureiro da Silva
Published: February 2023

This paper presents the most common vital and nonvital parameters in current wearable electronic devices, describing the respective signal acquisition methods. We included complete studies in indexed sources and accessible online in the consulted databases between the years 2017 to 2022. Nine studies focused on capturing at least one vital sign. Five addressed HR, four FR, two BP, four SpO2, and seven body temperature. As for nonvital parameters, half of the total sample approached gait analysis, while one-third addressed non-invasive blood glucose sensors. The preparation of this material aimed to aid the scientific community by summarizing essential information to foster the development of new technologies capable of improving health decisions.
Ethics Applied to Development in Robotics
Authors: Tiago B. Sant’Anna  , Marco A. dos Reis  , Roberto L.S. Monteiro
Published: February 2023

Technology is increasingly present in everyday life. With this, there is an increase in the interactions between men and machines. As a result, ethical dilemmas arise. These ethical dilemmas occur both as a consequence for the developer and as part of the machine’s problems. However, one can affirm that the moral differences between citizens interfere with how to solve these dilemmas. Furthermore, these ethical differences can be collected and used to model machines based on ethics. Thus, this work aims to study the relationship between ethical values and robotics, both in the development of new technologies and in the decision-making of machines. Thus the importance of ethics in technological development becomes evident.
Techniques Used for Determining the Hydrotreated Vegetable Oil Presence in Diesel
Authors: Fabio de Sousa Santos  , Marcelo A. Moret  , Lilian Lefol Nani Guarieiro
Published: February 2023

Determining HVO content in diesel is essential for fuel quality control and other important aspects, so studying the techniques used for this purpose is necessary. In this article, the authors did a systematic review to determine the techniques used to define HVO in diesel and the efficiency of each technique. The results of the study showed that the use of techniques that are based on measuring the amount of C14 radiocarbon in the sample have good efficiency, but concerning the cost and time used to perform the exams, FTIR spectroscopy together with the use of Chemometric techniques is an excellent alternative for the study.