bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Manufacturing Equipment Operation State Evaluation Technology Based on Fractional Calculus
Authors: Zuo Yanhong , Cheng Hua , Geng Guoqing , Xia Shilong , Zhou Chao
Published: March 2023

The operational status of manufacturing equipment is directly related to the reliability of the operation of manufacturing equipment and the continuity of operation of the production system. Based on the analysis of the operation status of manufacturing equipment and its characteristics, it is proposed that the concept of assessing the operation status of manufacturing equipment can be realized by applying the real-time acquisition of accurate inspection data of important parts of weak-motion units and comparing them with their motion status evaluation criteria. A differential data fusion model based on the fractional-order differential operator is established through the study of the application characteristics of fractional-order calculus theory. The advantages of Internet of Things (IoT) technology and a fractional order differential fusion algorithm are integrated to obtain real-time high-precision data of the operating parameters of manufacturing equipment, and the research objective of the operating condition assessment of manufacturing equipment is realized. The feasibility and effectiveness of the method are verified by applying the method to the machining center operation status assessment.
Modelling, Validation and Experimental Analysis of Diverse RF-MEMS Ohmic Switch Designs in View of Beyond-5G, 6G and Future Networks—Part 1
Authors: Iannacci Jacopo
Published: March 2023

The emerging paradigms of Beyond-5G (B5G), 6G and Future Networks (FN), will capsize the current design strategies, leveraging new technologies and unprecedented solutions. Focusing on the telecom segment and on low-complexity Hardware (HW) components, this contribution identifies RF-MEMS, i.e., Radio Frequency (RF) passives in Microsystem (MEMS) technology, as a key-enabler of 6G/FN. This work introduces four design concepts of RF-MEMS series ohmic switches realized in a surface micromachining process. S-parameters (Scattering parameters) are measured and simulated with a Finite Element Method (FEM) tool, in the frequency range from 100 MHz to 110 GHz. Based on such a set of data, three main aspects are covered. First, validation of the FEM-based modelling methodology is carried out. Then, pros and cons in terms of RF characteristics for each design concept are identified and discussed, in view of B5G, 6G and FN applications. Moreover, ad hoc metrics are introduced to better quantify the S-parameters predictive errors of simulated vs. measured data. In particular, the latter items will be further exploited in the second part of this work (to be submitted later), in which a discussion around compact modelling techniques applied to RF-MEMS switching concepts will also be included.
Equirectangular Image Data Detection, Segmentation and Classification of Varying Sized Traffic Signs: A Comparison of Deep Learning Methods
Authors: Li Heyang (Thomas) , Todd Zachary , Bielski Nikolas
Published: March 2023

There are known limitations in mobile omnidirectional camera systems with an equirectangular projection in the wild, such as momentum-caused object distortion within images, partial occlusion and the effects of environmental settings. The localization, instance segmentation and classification of traffic signs from image data is of significant importance to applications such as Traffic Sign Detection and Recognition (TSDR) and Advanced Driver Assistance Systems (ADAS). Works show the efficacy of using state-of-the-art deep pixel-wise methods for this task yet rely on the input of classical landscape image data, automatic camera focus and collection in ideal weather settings, which does not accurately represent the application of technologies in the wild. We present a new processing pipeline for extracting objects within omnidirectional images in the wild, with included demonstration in a Traffic Sign Detection and Recognition (TDSR) system. We compare Mask RCNN, Cascade RCNN, and Hybrid Task Cascade (HTC) methods, while testing RsNeXt 101, Swin-S and HRNetV2p backbones, with transfer learning for localization and instance segmentation. The results from our multinomial classification experiment show that using our proposed pipeline, given that a traffic sign is detected, there is above a 95% chance that it is classified correctly between 12 classes despite the limitations mentioned. Our results on the projected images should provide a path to use omnidirectional images with image processing to enable the full surrounding awareness from one image source.
Diverse Task Classification from Activation Patterns of Functional Neuro-Images Using Feature Fusion Module
Authors: Bişkin Osman Tayfun , Candemir Cemre , Gonul Ali Saffet , Selver Mustafa Alper
Published: March 2023

One of the emerging fields in functional magnetic resonance imaging (fMRI) is the decoding of different stimulations. The underlying idea is to reveal the hidden representative signal patterns of various fMRI tasks for achieving high task-classification performance. Unfortunately, when multiple tasks are processed, performance remains limited due to several challenges, which are rarely addressed since the majority of the state-of-the-art studies cover a single neuronal activity task. Accordingly, the first contribution of this study is the collection and release of a rigorously acquired dataset, which contains cognitive, behavioral, and affective fMRI tasks together with resting state. After a comprehensive analysis of the pitfalls of existing systems on this new dataset, we propose an automatic multitask classification (MTC) strategy using a feature fusion module (FFM). FFM aims to create a unique signature for each task by combining deep features with time-frequency representations. We show that FFM creates a feature space that is superior for representing task characteristics compared to their individual use. Finally, for MTC, we test a diverse set of deep-models and analyze their complementarity. Our results reveal higher classification accuracy compared to benchmarks. Both the dataset and the code are accessible to researchers for further developments.
Postsurgical Analysis of Gait, Radiological, and Functional Outcomes in Children with Developmental Dysplasia of the Hip
Authors: Aslam Firdaus , Jamil Kamal , Htwe Ohnmar , Yuliawiratman Brenda Saria , Natarajan Elango , Elamvazuthi Irraivan , Naicker Amaramalar Selvi
Published: March 2023

Background: Children undergoing DDH correction surgery may experience gait abnormalities following soft tissue releases and bony procedures. The purpose of this study was to compare the residual gait changes, radiological outcomes, and functional outcomes in children who underwent DDH surgery with those in healthy controls. Methods: Inertial motion sensors were used to record the gait of 14 children with DDH and 14 healthy children. Pelvic X-ray was performed to determine the Severin classification and the presence of femoral head osteonecrosis (Bucholz–Odgen classification). For functional evaluation, the Children’s Hospital Oakland Hip Evaluation Scale (CHOHES) was used. Results: There was no difference in spatial parameters between the two groups. In terms of temporal parameters, the DDH-affected limbs had a shorter stance phase (p < 0.001) and a longer swing phase (p < 0.001) than the control group. The kinematic study showed that the affected limb group had smaller hip adduction angle (p = 0.002) and increased internal rotation (p = 0.006) with reduced upward pelvic tilt (p = 0.020). Osteonecrosis was graded II, III, and IV in five, three, and one patients, respectively. Five patients had no AVN changes. The Severin classification was grade I, II, and III for six, three, and five patients, respectively. Most patients had good functional outcomes on the CHOHES, with a mean total score of 96.64 ± 5.719. Multivariate regression analysis revealed that weight, height, and femoral osteotomy were independent predictors for gait, radiological and functional outcome. Conclusion: Despite good functional scores overall, some children had poor radiological outcomes and gait abnormalities. Our results identified the risk factors for poor outcomes, and we recommend specified rehabilitative strategies for long-term management.
A Targetless Method for Simultaneously Measuring Three-Degree-of-Freedom Angular Motion Errors with Digital Speckle Pattern Interferometry
Authors: Shi Lili , Wu Sijin , Yan Miao , Niu Haisha
Published: March 2023

As a guide rail is the basic motion unit of precision equipment, the measurement of and compensation for its motion errors are important preconditions for precision machining and manufacturing. A targetless and simultaneous measurement method of three-degree-of-freedom (3-DOF) angular motion errors using digital speckle pattern interferometry (DSPI) is introduced in this paper. Based on the analysis of the sensitivity mechanism of DSPI to DOF errors and the formation mechanism of the phase fringes, the relationship between the angular motion errors and the distribution of the interferometric phases was established, and a new simultaneous measurement model of 3-DOF angular motion errors was further proposed. An optical setup based on a three-dimensional spatial-carrier DSPI with a right-angle symmetrical layout was used in the measurement system. Furthermore, repetitive tests, noise tests, and precision analysis were carried out to verify the performance of the system. The test results showed that the measurement resolution of the system was <1 μrad, which is capable of measuring the pitch angle, yaw angle, and roll angle at the submicron arc level simultaneously without target mirrors. The method has the advantages of no need to install cooperative targets and high measurement resolution, showing broad application prospects in many fields, including mechanical manufacturing, laser detection, aerospace, etc.
Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution
Authors: Pérez Ricardo , Rivera Marco , Salgueiro Yamisleydi , Baier Carlos R. , Wheeler Patrick
Published: March 2023

Software Defined Networking (SDN) is a communication alternative to increase the scalability and resilience of microgrid hierarchical control. The common architecture has a centralized and monolithic topology, where the controller is highly susceptible to latency problems, resiliency, and scalability issues. This paper proposes a novel and intelligent control network to improve the performance of microgrid communications, solving the typical drawback of monolithic SDN controllers. The SDN controller’s functionalities are segregated into microservices groups and distributed through a bare-metal Kubernetes cluster. Results are presented from PLECS hardware in the loop simulation to validate the seamless transition between standard hierarchical control to the SDN networked microgrid. The microservices significantly impact the performance of the SDN controller, decreasing the latency by 10.76% compared with a monolithic architecture. Furthermore, the proposed approach demonstrates a 42.23% decrease in packet loss versus monolithic topologies and a 53.41% reduction in recovery time during failures. Combining Kubernetes with SDN microservices can eliminate the single point of failure in hierarchical control, improve application recovery time, and enhance containerization benefits, including security and portability. This proposal represents a reference framework for future edge computing and intelligent control approaches in networked microgrids.
Accuracy of Intracranial Pressure Monitoring—Single Centre Observational Study and Literature Review
Authors: Pelah Adam I. , Zakrzewska Agnieszka , Calviello Leanne A. , Forcht Dagi Teodoro , Czosnyka Zofia , Czosnyka Marek
Published: March 2023

Intracranial hypertension and adequacy of brain blood flow are primary concerns following traumatic brain injury. Intracranial pressure (ICP) monitoring is a critical diagnostic tool in neurocritical care. However, all ICP sensors, irrespective of design, are subject to systematic and random measurement inaccuracies that can affect patient care if overlooked or disregarded. The wide choice of sensors available to surgeons raises questions about performance and suitability for treatment. This observational study offers a critical review of the clinical and experimental assessment of ICP sensor accuracy and comments on the relationship between actual clinical performance, bench testing, and manufacturer specifications. Critically, on this basis, the study offers guidelines for the selection of ICP monitoring technologies, an important clinical decision. To complement this, a literature review on important ICP monitoring considerations was included. This study utilises illustrative clinical and laboratory material from 1200 TBI patients (collected from 1992 to 2019) to present several important points regarding the accuracy of in vivo implementation of contemporary ICP transducers. In addition, a thorough literature search was performed, with sources dating from 1960 to 2021. Sources considered to be relevant matched the keywords: “intraparenchymal ICP sensors”, “fiberoptic ICP sensors”, “piezoelectric strain gauge sensors”, “external ventricular drains”, “CSF reference pressure”, “ICP zero drift”, and “ICP measurement accuracy”. Based on single centre observations and the 76 sources reviewed in this paper, this material reports an overall anticipated measurement accuracy for intraparenchymal transducers of around ± 6.0 mm Hg with an average zero drift of <2.0 mm Hg. Precise ICP monitoring is a key tenet of neurocritical care, and accounting for zero drift is vital. Intraparenchymal piezoelectric strain gauge sensors are commonly implanted to monitor ICP. Laboratory bench testing results can differ from in vivo observations, revealing the shortcomings of current ICP sensors.
Effects of JPEG Compression on Vision Transformer Image Classification for Encryption-then-Compression Images
Authors: Hamano Genki , Imaizumi Shoko , Kiya Hitoshi
Published: March 2023

This paper evaluates the effects of JPEG compression on image classification using the Vision Transformer (ViT). In recent years, many studies have been carried out to classify images in the encrypted domain for privacy preservation. Previously, the authors proposed an image classification method that encrypts both a trained ViT model and test images. Here, an encryption-then-compression system was employed to encrypt the test images, and the ViT model was preliminarily trained by plain images. The classification accuracy in the previous method was exactly equal to that without any encryption for the trained ViT model and test images. However, even though the encrypted test images can be compressible, the practical effects of JPEG, which is a typical lossy compression method, have not been investigated so far. In this paper, we extend our previous method by compressing the encrypted test images with JPEG and verify the classification accuracy for the compressed encrypted-images. Through our experiments, we confirm that the amount of data in the encrypted images can be significantly reduced by JPEG compression, while the classification accuracy of the compressed encrypted-images is highly preserved. For example, when the quality factor is set to 85, this paper shows that the classification accuracy can be maintained at over 98% with a more than 90% reduction in the amount of image data. Additionally, the effectiveness of JPEG compression is demonstrated through comparison with linear quantization. To the best of our knowledge, this is the first study to classify JPEG-compressed encrypted images without sacrificing high accuracy. Through our study, we have come to the conclusion that we can classify compressed encrypted-images without degradation to accuracy.
Low-Cost Online Partial Discharge Monitoring System for Power Transformers
Authors: Sikorski Wojciech , Wielewski Artur
Published: March 2023

The article presents in detail the construction of a low-cost, portable online PD monitoring system based on the acoustic emission (AE) technique. A highly sensitive piezoelectric transducer was used as the PD detector, whose frequency response characteristics were optimized to the frequency of AE waves generated by discharges in oil–paper insulation. The popular and inexpensive Teensy 3.2 development board featuring a 32-bit MK20DX256 microcontroller with the ARM Cortex-M4 core was used to count the AE pulses. The advantage of the system is its small dimensions and weight, easy and quick installation on the transformer tank, storage of measurement data on a memory card, battery power supply, and immediate readiness for operation without the need to configure. This system may contribute to promoting the idea of short-term (several days or weeks) PD monitoring, especially in developing countries where, with the dynamically growing demand for electricity, the need for inexpensive transformer diagnostics systems is also increasing. Another area of application is medium-power transformers (up to 100 MVA), where temporary PD monitoring using complex measurement systems requiring additional infrastructure (e.g., control cabinet, cable ducts for power supply, and data transmission) and qualified staff is economically unjustified.
Compensating for Sensing Failures via Delegation in Human–AI Hybrid Systems
Authors: Fuchs Andrew , Passarella Andrea , Conti Marco
Published: March 2023

Given the increasing prevalence of intelligent systems capable of autonomous actions or augmenting human activities, it is important to consider scenarios in which the human, autonomous system, or both can exhibit failures as a result of one of several contributing factors (e.g., perception). Failures for either humans or autonomous agents can lead to simply a reduced performance level, or a failure can lead to something as severe as injury or death. For our topic, we consider the hybrid human–AI teaming case where a managing agent is tasked with identifying when to perform a delegated assignment and whether the human or autonomous system should gain control. In this context, the manager will estimate its best action based on the likelihood of either (human, autonomous) agent’s failure as a result of their sensing capabilities and possible deficiencies. We model how the environmental context can contribute to, or exacerbate, these sensing deficiencies. These contexts provide cases where the manager must learn to identify agents with capabilities that are suitable for decision-making. As such, we demonstrate how a reinforcement learning manager can correct the context–delegation association and assist the hybrid team of agents in outperforming the behavior of any agent working in isolation.
Optimizing Cardiac Wireless Implant Communication: A Feasibility Study on Selecting the Frequency and Matching Medium
Authors: Amin Bilal , Rehman Muhammad Riaz ur , Farooq Muhammad , Elahi Adnan , Donaghey Kevin , Wijns William , Shahzad Atif , Vazquez Patricia
Published: March 2023

Cardiac wireless implantable medical devices (CWIMD) have brought a paradigm shift in monitoring and treating various cardiac conditions, including heart failure, arrhythmias, and hypertension. One of the key elements in CWIMD is the implant antenna which uses radio frequency (RF) technology to wirelessly communicate and transmit data to external devices. However, wireless communication with a deeply implanted antenna using RF can be challenging due to the significant loss of electromagnetic (EM) signal at the air–skin interface, and second, due to the propagation and reflection of EM waves from different tissue boundaries. The air–skin interface loss of the EM wave is pronounced due to the absence of a matching medium. This paper investigates the EM propagation losses in the human body and presents a choice of optimal frequency for the design of the cardiac implant antenna and the dielectric properties of the matching medium. First, the dielectric properties of all tissues present in the human thorax including skin, fat, muscle, cartilage, and heart are analyzed as a function of frequency to study the EM wave absorption at different frequencies. Second, the penetration of EM waves inside the biological tissues is analyzed as a function of frequency. Third, a transmission line (TL) formalism approach is adopted to examine the optimal frequency band for designing a cardiac implant antenna and the matching medium for the air–skin interface. Finally, experimental validation is performed at two ISM frequencies, 433 MHz and 915 MHz, selected from the optimal frequency band (0.4–1.5 GHz) suggested by our analytical investigation. For experimental validation, two off-the-shelf flexible dipole antennas operating at selected ISM frequencies were used. The numerical and experimental findings suggested that for the specific application of a cardiac implant with a penetration depth of 7–17 cm, the most effective frequency range for operation is within 0.4–1.5 GHz. The findings based on the dielectric properties of thorax tissues, the penetration depth of EM waves, and the optimal frequency band have provided valuable information on developing and optimizing CWIMDs for cardiac care applications.
Modeling for Single-Photon Avalanche Diodes: State-of-the-Art and Research Challenges
Authors: Qian Xuanyu , Jiang Wei , Elsharabasy Ahmed , Deen M. Jamal
Published: March 2023

With the growing importance of single-photon-counting (SPC) techniques, researchers are now designing high-performance systems based on single-photon avalanche diodes (SPADs). SPADs with high performances and low cost allow the popularity of SPC-based systems for medical and industrial applications. However, few efforts were put into the design optimization of SPADs due to limited calibrated models of the SPAD itself and its related circuits. This paper provides a perspective on improving SPAD-based system design by reviewing the development of SPAD models. First, important SPAD principles such as photon detection probability (PDP), dark count rate (DCR), afterpulsing probability (AP), and timing jitter (TJ) are discussed. Then a comprehensive discussion of various SPAD models focusing on each of the parameters is provided. Finally, important research challenges regarding the development of more advanced SPAD models are summarized, followed by the outlook for the future development of SPAD models and emerging SPAD modeling methods.
A Data-Driven System Identification Method for Random Eigenvalue Problem Using Synchrosqueezed Energy and Phase Portrait Analysis
Authors: Mahato Swarup , Chakraborty Arunasis , Griškevičius Paulius
Published: March 2023

The primary purpose of this research is to evaluate the uncertainty associated with modal parameter estimation for an inverse dynamic problem in which the structural parameters are random. The random nature of the structure’s parameters will be reflected in the modal features of the respected system. However, this may result in additive/subtractive errors in modal parameter identification, affecting the identification technique’s efficiency. With this in mind, the present study aims to develop an automated modal identification algorithm for a random eigenvalue problem. This is achieved by a recently developed advanced version of the wavelet transform (i.e., synchrosqueezing), which offers better resolution. Using this technique, the measured responses are transformed into a time-frequency plane, which is further processed by unsupervised learning using K-means clustering for quantification of the modal parameters. This automated identification is repeated for an ensemble of measurements to quantify the random eigenvalues in a statistical sense. The proposed methodology is first tested using simulated time histories of a two degree-of-freedom (dof) system. It is followed by an experimental validation using a beam whose mass matrix is random. The numerical results presented in this work clearly demonstrate the performance (i.e., in terms of efficiency and accuracy) of the proposed output-only automated data-driven identification scheme for random eigenvalue problems.
A Deep Learning Model for 3D Ground Reaction Force Estimation Using Shoes with Three Uniaxial Load Cells
Authors: Kim Junggil , Kang Hyeon , Lee Seulgi , Choi Jinseung , Tack Gyerae
Published: March 2023

Ground reaction force (GRF) is essential for estimating muscle strength and joint torque in inverse dynamic analysis. Typically, it is measured using a force plate. However, force plates have spatial limitations, and studies of gaits involve numerous steps and thus require a large number of force plates, which is disadvantageous. To overcome these challenges, we developed a deep learning model for estimating three-axis GRF utilizing shoes with three uniaxial load cells. GRF data were collected from 81 people as they walked on two force plates while wearing shoes with three load cells. The three-axis GRF was calculated using a seq2seq approach based on long short-term memory (LSTM). To conduct the learning, validation, and testing, random selection was performed based on the subjects. The 60 selected participants were divided as follows: 37 were in the training set, 12 were in the validation set, and 11 were in the test set. The estimated GRF matched the force plate-measured GRF with correlation coefficients of 0.97, 0.96, and 0.90 and root mean square errors of 65.12 N, 15.50 N, and 9.83 N for the vertical, anterior–posterior, and medial–lateral directions, respectively, and there was a mid-stance timing error of 5.61% in the test dataset. A Bland–Altman analysis showed good agreement for the maximum vertical GRF. The proposed shoe with three uniaxial load cells and seq2seq LSTM can be utilized for estimating the 3D GRF in an outdoor environment with level ground and/or for gait research in which the subject takes several steps at their preferred walking speed, and hence can supply crucial data for a basic inverse dynamic analysis.
Rational Design, Synthesis, Separation, and Characterization of New Spiroxindoles Combined with Benzimidazole Scaffold as an MDM2 Inhibitor
Authors: Alshahrani Saeed , Al-Majid Abdullah Mohammed , Ali M. , Alamary Abdullah Saleh , Abu-Serie Marwa M. , Dömling Alexander , Shafiq Muhammad , Ul-Haq Zaheer , Barakat Assem
Published: March 2023

Rational design for a new spiroxindoles, combined with a benzimidazole scaffold to identify a new murine double minute two (MDM2) inhibitor was synthesized and characterized. The desired spiroxindoles were achieved via a [3+2] cycloaddition reaction approach which afforded the cycloadducts with four asymmetric centers separated in an excellent regioselective and diastereoselective compound. The separated spiroxindoles were subjected to a set of biochemical assays including an NCI cell panel assay, MTT assay, and MDM2 binding analysis by a microscale thermophoresis assay. The anticancer reactivity for the tested compounds showed IC50 (µM) in the range between 3.797–6.879 µM, and compound 7d with IC50 = 3.797 ± 0.205 µM was the most active candidate between the series. The results showed promising results that identified that compound 7a could be inhibited the MDM2 with KD = 2.38 μm. Compound 7a developed a network of interactions with the MDM2 receptor studied in silico by molecular docking.
Headache, Fever, and Myalgias in an HIV-Positive Male with a History of Tuberculosis: Epstein–Barr Virus Aseptic Meningitis
Authors: Kakoullis Loukas , Hentschel Claudia , Colgrove Robert
Published: March 2023

Background: We describe a case of EBV aseptic meningitis in a patient with HIV with an extensive history of prior infections and exposures. Detailed Case Description: A 35-year-old man with a history of HIV, syphilis, and partially treated tuberculosis presented with headache, fever, and myalgias. He reported recent exposure to dust from a construction site and had sexual contact with a partner with active genital lesions. An initial workup revealed mildly elevated inflammatory markers, significant pulmonary scarring from tuberculosis with a classic “weeping willow sign”, and lumbar puncture findings consistent with aseptic meningitis. An extensive evaluation was conducted to identify causes of bacterial and viral meningitis, including syphilis. Immune reconstitution inflammatory syndrome and isoniazid-induced aseptic meningitis were also considered based on his medications. EBV was ultimately isolated through PCR from the patient’s peripheral blood. The patient’s condition improved, and he was discharged on his home antiretroviral and anti-tuberculous treatment. Conclusion: Central nervous system infections represent unique challenges in patients with HIV. EBV reactivation can present with atypical symptoms and should be considered as a cause of aseptic meningitis in this population.
Identification of Challenges for Second-Life Battery Systems—A Literature Review
Authors: Kampker Achim , Heimes Heiner Hans , Offermanns Christian , Vienenkötter Janis , Frank Merlin , Holz Daniel
Published: March 2023

Lithium-ion batteries (LIBs) have been proven to be increasingly popular and are the solution of choice for many companies and business models around the world. One major question for battery owners is how to deal with returning batteries if they still contain sufficient capacity for operation. In this case, those energy storages can still be used in different, less-required second-life applications, such as stationary battery storage systems, contributing to increased product sustainability and economic benefits at the same time. However, the second-life business model is still at an early stage of development due to the young EV market in combination with long vehicle lifetimes. As a consequence, there are several barriers in various thematic fields, complicating the rededication process for LIBs. This review paper focuses on a summary of barriers to second-life adoption published with scientific reference. Furthermore, barriers are clustered thematically to provide a transparent landscape picture and valuable insights into the rededication process of LIBs.
Design of Permanent Magnet-Assisted Synchronous Reluctance Motor with Low Torque Ripple
Authors: Li Xinmin , Sun Zihan , Sun Wenbo , Guo Liyan , Wang Huimin
Published: March 2023

Permanent magnet-assisted synchronous reluctance motors (PMSRMs) have been widely used in household appliances, national defense and the military, due to their advantages of low cost and high efficiency. However, their excessive torque ripple cause a series of problems, such as high vibration and noise. To solve this problem, this paper first considers the important factor that causes the torque ripple—the cogging torque. Firstly, the generating principle of the cogging torque is analyzed, and a method combining magnetic pole migration and the stator auxiliary groove is proposed. On this basis, considering the position, width, depth, quantity and shape of the auxiliary groove, the Taguchi method is used to optimize the proposed improved structure. Finally, a new motor structure that can minimize torque ripple is obtained. Compared with the original structure, the cogging torque is reduced by 57.6%, the torque ripple is reduced by 38%, and the electromagnetic torque is only reduced by 1.6%.
IMPROVEMENT OF TROLLEYBUS TRANSPORTATION IN BRYANSK (BY THE EXAMPLE OF ROUTES №91 AND 9)
Authors:   Bryansk State University of Engineering and Technology, Vladimir Viktorovich Sivakov , Kristina Sergeevna Borovaya ,   Bryansk State University of Engineering and Technology, Evgeny Andreevich Yurkov ,   Bryansk State University of Engineering and Technology
Published: March 2023

The state of the issue of organizing trolleybus transportation in the city of Bryansk and possible directions for their improvement are considered. The options for using different types of transport for organizing transportation are analyzed. The expediency of acquiring trolleybuses with dynamic charging, traveling up to 60 km without the need to connect to a contact network, is substantiated when replacing rolling stock. The possibility of replacing buses with trolleybuses with dynamic charging without the need to lay a contact network is shown.
TECHNICAL RISK FACTORS IN THE TRANSPORTATION OF OVERSIZE AND HEAVY CARGO
Authors:   JSC «NIIAT», Tatiana Nikolaevna Pashkova , Nadezhda Anatolievna Filippova ,   Moscow Automobile and Road Construction State Tech-nical University (MADI)
Published: March 2023

When transporting bulky and heavy cargo, there are many risks that affect the reliability and safety of this event. The main task of preparing for transportation and its implementation is a thorough and preliminary assessment of potential risks in the given parameters: weight and size characteristics of the cargo, vehicle, drivers, transport infrastructure along the route, etc.
ASSESSMENT OF THE INFLUENCE OF SIM ON THE INDICATORS OF THE TRAFFIC STREAM IN JOINT TRAFFIC
Authors:   IDIM LLC, Anastasia Alekseevna Jung , Anastasia Gennadievna Shevtsova ,   Belgorod State Technological University, Victoria Vladimirovna Vasilyeva ,   Orel State University
Published: March 2023

The appearance of individual mobility aids (IM) in the traffic flow creates a certain load, primarily associated with a change in the average speed of movement, delays. In order to assess the change in the reflected indicators, the paper analyzes their change, taking into account the different share of SIM in the total traffic flow at a particular object of study. Using the Aimsun simulation product, a number of experiments were performed, on the basis of which numerical indicators of the studied characteristics were obtained and an economic assessment of their change was carried out.
THEORETICAL FOUNDATIONS AND PRACTICE OF DIAGNOSTICS OF ENVIRONMENTALLY-FIRE HAZARDOUS EMERGENCY MODES OF OPERATION OF ROAD TRANSPORT CATALYTIC SYSTEMS
Authors:   St. Petersburg University of the State Fire Service of the Ministry of Emergency Situations of Russia, Vladimir Nikolaevich Lozhkin
Published: March 2023

A kinetic model of the processes of chain oxidative reactions in automotive catalytic converters and PM2.5 soot particle filters of a honeycomb block design has been developed. Calculations according to the model confirmed the emergency modes of operation of converters, uncontrolled heat growth of more than 261683 kJ/h and, as a consequence, the oxidation temperatures of CO, CH, soot with melting and destruction of catalyst carrier matrices. It is shown that the causes of extreme neutralization modes can be malfunctions of electronic catalytic systems, increased sulfur content in fuel and oil, corrosion of fuel equipment parts, overheating of the engine and turbocharger. It is shown that the emergency heating of the converter is associated with an increase in the risk of car fire. An original method for monitoring the environmental-fire hazardous modes of operation of catalytic converters based on the modernization of the standard diagnostic procedure in accordance with GOST 33997-2016 (TR TS 018/2011) is proposed.
INFLUENCE OF PHYSICAL EXERCISES UNDER THE CONDITIONS OF LONG DUTY ON THE EFFICIENCY OF AIR TRAFFIC MANAGEMENT SPECIALISTS
Authors:   Moscow State Technical University of Civil Aviation, InessaAlbertovna Rodionova , Vladimir Ilyich Shalupin ,   Moscow State Technical University of Civil Aviation, Elizaveta Sergeevna Kumantsova ,   Moscow State Technical University of Civil Aviation
Published: March 2023

The article deals with the formation of the need for physical self-improvement of students of civil aviation universities in preparation for such service activities as long-term duty. At the same time, as a model of the study, physical education classes were chosen for 4-year students of the training direction 25.05.05 «Operation of aircraft and air traffic management» of groups EVSm 4-1 and 4-2. Studies have shown that university studies provide about 30% of motor activity useful for a healthy person.
STUDENTS-PSYCHOLOGIST’S SELF-ACTUALIZATION INDICATORS EMPIRICAL RESEARCH
Authors: Lavrinenko V.
Published: March 2023

The article analyzes the results of the theoretical and empirical study of students-psychologist’s self-actualization indicators. A generalized theoretical analysis of the individual self-actualization phenomenon, its components and the connection with the professional formation process of a psychologist-specialist is presented.

The results of an empirical study of students-psychologist’s self-actualization indicators in the context of their professional formation are analyzed. It is summarized that future specialists are characterized by medium indicators of self-actualization and personality maturity, with sufficiently increased orientations of future specialists towards manifestations of contact, perception of their own Self, a valuable component of self-actualization and orientation towards a humanistic perception of human nature, orientation towards knowledge. It has been found that students-psychologists are characterized by a predominance of achievement motivation, attitude towards their own Self, and the ability to be in contact with communication partners. Identified trends are analyzed in the context of compliance with the requirements for the professional activity of a psychologist.
Pose:
Authors: Kennedy Natacha
Published: March 2023

This paper sets out to theorise one possible origin of transphobia in relation to the current round of increasingly politically driven attacks on trans people’s human rights. To do this, it attempts – drawing on sections of the US television series Pose – to establish a new characterisation of the sociocultural and affective roots of transphobia. I argue that to understand some forms of transphobia, we need to conceptualise identification as a process rather than identity as a substantive and understand how this process leads to trans people exposing the fragilities in some cis people’s identities, producing an irrational transphobic hatred. The argument developed here represents an attempt to deploy social activity method in a specifically queer sociological approach, creating a “deformance” of the data relating to identification processes and the implications and consequences of this analysis.
Cytology and histology characteristics of platelet-rich fibrin
Authors: Nguyen Thanh Tung , Nguyen Tran Bao Song
Published: March 2023

Background: Platelet-rich fibrin (PRF) is a biomaterial whose frame is a network of fibrin fibers containing cells from peripheral blood and growth factors. PRF biomaterials have great potential for application in regenerative medicine, especially in maxillofacial surgery and orthopedic trauma. The purpose of this study is to investigate the cytological and histological properties of PRF in order to provide the background knowledge for the applied studies of PRF. Materials and Methods: Peripheral blood from 10 rabbits collected via the ear artery was used to generate platelet-rich plasma and platelet-rich fibrin. Blood samples with anticoagulant are centrifuged to obtain fractions of platelet-rich plasma (PRP) and
Platelet rich and white blood cell rich plasma (L-PRP). Plasma is fibrinated with Calcium chloride (CaCl2) to produce platelet-rich fibrin (PRF), Platelet rich and white blood cell rich fibrin (L-PRF). The cellular composition of PRP and L-PRP was investigated using an automated veterinary hematology analyzer. The histological structures of PRF and L-PRF were examined by Hematoxylin-Eosin and Sirius Red staining. Results: The results of cell composition showed that PRP almost did not contain cellular components such as white blood cells and red blood cells, and the platelet concentration was lower than that of peripheral blood. Meanwhile, L-PRP contains a large number of cellular components, especially a high density of
white blood cells and platelets. Histological examination results showed that PRF had a dense network of fibrin fibers and lacked the presence of cells. Conclusions: The PRF and L-PRF biomaterials have a suitable spatial structure as a natural biological substrate. Furthermore, L-PRF has a rich cellular component that has great potential in promoting tissue regeneration
Key words: Biomaterials, Platelet-rich plasma (PRP), platelet rich and white blood cell rich plasma (L-PRP), tissue regenerative medicine, histological structure
Assessement of nutritional status and dietary habits among the elderly inpatients at two departments of internal medicine, Hue University of Medicine and Pharmacy Hospital
Authors: Hoang Thi Bach Yen , Nguyen Thi Thu Cuc , Nguyen Thi Cuc , Nguyen Thi Thanh Nhan
Published: March 2023

Introduction: Undernutrition is popular among inpatients. According to estimates of National institute of Nutrition, the prevalence of undernutrition accounts for 40% to 50% among inpatients. Undernutrition has a significant effect on complication, mortality, hospital stay as well as quality of life... Therefore, screening and evaluating the nutritional status is important in the treatment process. Objectives: 1. To assess nutritional status of elderly inpatients at two departments of Internal medicine, Hue University of Medicine and Pharmacy Hospital. 2. To find out dietary habits and its relation to nutritional status. Methodology: A cross-sectional study was conducted on 389 inpatients in two departments of Internal medicine. Body Mass Index (BMI) and Subjective Global Assessment (SGA) were applied to assess nutritional status, and questionnaire was used to understand dietary habits and its relation to nutritional status. Results: The prevalence of undernutrition among elderly inpatients by BMI and SGA were 38.8% and 35.0 % respectively. The was a relationship between the habit of using food after cooking for more than 2 hours, the selection of food suitable for diseases and the nutritional status assessing by BMI. There was a relationship between the eating at a fixed time, using food within 30 minutes after cooking, eating after 9:00 PM, drinking over 1.5 liters of water per day and the nutritional status assessing by SGA. Conclusion: The prevalence of undernutrition among elderly inpatients at two departments of Internal medicine was quite high. Therefore, it is important to consider assessing nutritional status as a routine procedure and design nutritional intervention plan with undernutrition inpatients.
Key words: nutritional status, dietary habits
Conservation and Restoration of the House of Butehamon 21st Dynasty 1054 BC - The Medinet Habu Temple Precinct
Authors: Hassan Lotfi Khaled
Published: March 2023

“Understanding the original materials and techniques used in objects not only provides insights into its history of construction but may also shed light on the nature of past and current deterioration problems”.
The royal scribe and overseer of the royal treasury in Theban necropolis. Butehamon held office during the reign of Pinudjem I in the 21st Dynasty 1054 BC. Butehamun had long lived in the village of Deir el-Medina working on the tombs in the Valley of Kings, Butehamun’s coming of age saw invasion and civil war in Thebes, and the end to the making of new tombs in the Valley, as the New Kingdom came to an end. Instead, he was given the task by the High Priests of Amun to remove and rewrap royal mummies and rebury them in secret caches, while plundering them of their gold and other valuables for the coffers of the priestly rulers of Thebes. That project seems to have been successful: The mummy of every single king from the 18th through 21st Dynasties that has been identified and was found in a tomb was found in the two caches KV 35 or TT 320 (with the sole exception of Tutankhamun).
The Formation of Clinical Transfusiologyin Belarus (to the 100th Anniversary of the First Blood Transfusion in Domestic Medicine)
Authors: Гольдинберг Б.М. , Климович О.В. , Секретова Е.Б.
Published: March 2023

Цель исследования. Провести анализ значимости этапа становления белорусской трансфузиологии и показать вклад ученых и практикующих врачей в этот процесс. Материалы и методы. Изучены архивные и музейные документы, а также литературные источники по теме организации и становления производственной и клинической трансфузиологии в Беларуси в период с 1923 по 1941 год. Результаты и обсуждение. Проведен обзор архивных и литературных источников об истории научного обоснования переливания крови и особенностях его становления в Беларуси. Этому процессу способствовало участие ученых и опытных практикующих врачей. Выводы. Становление клинической трансфузиологии в Беларуси прошло три этапа: единичных переливаний крови (1923–1931), регулярных трансфузий (1932–1937) и массовых переливаний крови (1938–1941).

Purpose. To analyze the significance of the stage of formation of Belarusian transfusiology and to show the contribution of scientists and practitioners in this process. Materials and methods. Archival and museum documents, as well as literary sources of research on the organization and formation of industrial and clinical transfusiology in Belarus in the period from 1923 to 1941 were studied. Results and discussion. The review of archival and literary sources of the history of the scientific justification of blood transfusion and the peculiarities of its formation in Belarus was carried out. This process was facilitated by the participation of scientists and experienced practitioners. Conclusions. The formation of clinical transfusiologyin Belarus went through three stages: single blood transfusions (1923–1931), regular transfusions (1932–1937) and mass blood transfusions (1938–1941).
Combined Deficiencies of Blood Clotting Factors: Advantages of Modern Therapy
Authors: Кожанова И.Н. , Романова И.С. , Чак Т.А.
Published: March 2023

При значительных дефицитах факторов свертывания у пациентов отмечаются жизнеугрожающие кровотечения. Основой лечения пациентов с комбинированными дефицитами факторов свертывания крови является специфическая заместительная терапия лекарственными препаратами или компонентами крови, содержащими дефицитные (сниженное количество или отсутствие) факторы свертывания. Заместительная терапия исторически проводится с использованием свежезамороженной плазмы, относящейся к компонентам крови, в то время как использование препарата ОктапласЛГ по сравнению со свежезамороженной плазмой ассоциируется с высоким уровнем эффективности и безопасности. ОктапласЛГ, относящийся к лекарственным препаратам, производится по правилам надлежащей производствен- ной практики (GMP). Этот препарат прошел полный спектр доклинических и клинических испытаний в соответствии с правилами надлежащей клинической практики (GCP). Лекарственный препарат характеризуется высоким уровнем инфекционнойбезопасности, минимальным риском развития осложнений, стандартизированным содержанием активных компонентов, что снижает общий объем трансфузий.

Life-threatening bleeding is noted in patients with significant deficits of coagulation factors. The basis for the treatment of patients with combined deficiencies of blood clotting factors is specific replacement therapy with drugs or blood components containing deficient (reduced or absent) clotting factors. Replacement therapy is traditionally performed using freshly frozen plasma related to blood components. The use of OctaplasLG compared with freshly frozen plasma is associated with a high level of efficiency and safety. ОctaplasLG is medicinal product manufactured according to the rules of good manufacturing practice (GMP) and subjected to a full range of preclinical and clinical trials in accordance with the rules of good clinical practice (GCP). The medicine is characterized by high level of viral safety, minimal risk of complications.