bluuebunny/crossref_metadata_2025 huggingface dataset:
Drone Detection and Classification Using Physical-Layer Protocol Statistical Fingerprint
Authors: Morge-Rollet Louis , Le Jeune Denis , Le Roy Frédéric , Canaff Charles , Gautier Roland
Published: September 2022

We propose a novel approach for drone detection and classification based on RF communication link analysis. Our approach analyses large signal record including several packets and can be decomposed of two successive steps: signal detection and drone classification. On one hand, the signal detection step is based on Power Spectral Entropy (PSE), a measure of the energy distribution uniformity in the frequency domain. It consists of detecting a structured signal such as a communication signal with a lower PSE than a noise one. On the other hand, the classification step is based on a so-called physical-layer protocol statistical fingerprint (PLSPF). This method extracts the packets at the physical layer using hysteresis thresholding, then computes statistical features for classification based on extracted packets. It consists of performing traffic analysis of communication link between the drone and its controller. Conversely to classic drone traffic analysis working at data link layer (or at upper layers), it performs traffic analysis directly from the corresponding I/Q signal, i.e., at the physical layer. The approach shows interesting properties such as scale invariance, frequency invariance, and noise robustness. Furthermore, the classification method allows us to distinguish WiFi drones from other WiFi devices due to underlying requirement of drone communications such as good reactivity in control. Finally, we propose different experiments to highlight theses properties and performances. The physical-layer protocol statistical fingerprint exploiting communication specificities could also be used in addition of RF fingerprinting method to perform authentication of devices at the physical-layer.
Multi-Level Cycle-Consistent Adversarial Networks with Attention Mechanism for Face Sketch-Photo Synthesis
Authors: Ren Danping , Yang Jiajun , Wei Zhongcheng
Published: September 2022

The synthesis between face sketches and face photos has important application values in law enforcement and digital entertainment. In cases of a lack of paired sketch-photo data, this paper proposes an unsupervised model to solve the problems of missing key facial details and a lack of realism in the synthesized images of existing methods. The model is built on the CycleGAN architecture. To retain more semantic information in the target domain, a multi-scale feature extraction module is inserted before the generator. In addition, the convolutional block attention module is introduced into the generator to enhance the ability of the model to extract important feature information. Via CBAM, the model improves the quality of the converted image and reduces the artifacts caused by image background interference. Next, in order to preserve more identity information in the generated photo, this paper constructs the multi-level cycle consistency loss function. Qualitative experiments on CUFS and CUFSF public datasets show that the facial details and edge structures synthesized by our model are clearer and more realistic. Meanwhile the performance indexes of structural similarity and peak signal-to-noise ratio in quantitative experiments are also significantly improved compared with other methods.
Monitoring Osseointegration Process Using Vibration Analysis
Authors: Lu Shouxun , Vien Benjamin Steven , Russ Matthias , Fitzgerald Mark , Chiu Wing Kong
Published: September 2022

Osseointegration implant has attracted significant attention as an alternative treatment for transfemoral amputees. It has been shown to improve patients’ sitting and walking comfort and control of the artificial limb, compared to the conventional socket device. However, the patients treated with osseointegration implants require a long rehabilitation period to establish sufficient femur–implant connection, allowing the full body weight on the prosthesis stem. Hence, a robust assessment method on the osseointegration process is essential to shorten the rehabilitation period and identify the degree of osseointegration prior to the connection of an artificial limb. This paper investigates the capability of a vibration-related index (E-index) on detecting the degree of simulated osseointegration process with three lengths of the residual femur (152, 190 and 228 mm). The adhesive epoxy with a setting time of 5 min was applied at the femur–implant interface to represent the stiffness change during the osseointegration process. The cross-spectrum and colormap of the normalised magnitude demonstrated significant changes during the cure time, showing that application of these plots could improve the accuracy of the currently available diagnostic techniques. Furthermore, the E-index exhibited a clear trend with a noticeable average increase of 53% against the cure time for all three residual length conditions. These findings highlight that the E-index can be employed as a quantitative justification to assess the degree of osseointegration process without selecting and tracing the resonant frequency based on the geometry of the residual femur.
Computational Study on Thermal Motion Sensors That Can Measure Acceleration and Rotation Simultaneously
Authors: Siddique Kamran , Ogami Yoshifumi
Published: September 2022

In this study, a new technique has been proposed by numerical simulations by which multiple physical quantities can be simultaneously measured. The sensor is a modification of existing physical sensors such as a thermal motion sensor. Simultaneous measurement of acceleration and rotation is presented herein. Cross-axis sensitivity is employed such that output sensitivities observed at two perpendicular axes, X and Y sensor data, are related to the input physical quantities. The physics involved in measurement is similar to that of a conventional thermal accelerometer, hence the governing equations predicting the sensor response are based on the conservation of mass, momentum, and energy, and are discretized by using a commercially available software FLUENT. A series of computational studies are conducted and using these studies a novel idea is proposed in which the maximum temperature values are obtained at various positions around a heating source and are correlated with the applied acceleration and rotational speed. A parametric study is also presented to find the optimum distance between the heater and sensors. The influence of changing gas medium on the temperature curves has also been examined and it has been concluded that CO2 generates the maximum performance due to its higher density and lower viscosity.
An Interleaved Segmented Spectrum Analysis: A Measurement Technique for System Frequency Response and Fault Detection
Authors: Roman-Loera Alejandro , Veerabathini Anurag , Macias-Diaz Jorge E. , Rizo-Diaz Felipe de Jesus
Published: September 2022

A frequency spectrum segmentation methodology is proposed to extract the frequency response of circuits and systems with high resolution and low distortion over a wide frequency range. A high resolution is achieved by implementing a modified Dirichlet function (MDF) configured for multi-tone excitation signals. Low distortion is attained by limiting or avoiding spectral leakage and interference into the frequency spectrum of interest. The use of a window function allowed for further reduction in distortion by suppressing system-induced oscillations that can cause severe interference while acquiring signals. This proposed segmentation methodology with the MDF generates an interleaved frequency spectrum segment that can be used to measure the frequency response of the system and can be represented in a Bode and Nyquist plot. The ability to simulate and measure the frequency response of the circuit and system without expensive network analyzers provides good stability coverage for reliable fault detection and failure avoidance. The proposed methodology is validated with both simulation and hardware.
A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors
Authors: Varga Domonkos
Published: September 2022

Objective quality assessment of natural images plays a key role in many fields related to imaging and sensor technology. Thus, this paper intends to introduce an innovative quality-aware feature extraction method for no-reference image quality assessment (NR-IQA). To be more specific, a various sequence of HVS inspired filters were applied to the color channels of an input image to enhance those statistical regularities in the image to which the human visual system is sensitive. From the obtained feature maps, the statistics of a wide range of local feature descriptors were extracted to compile quality-aware features since they treat images from the human visual system’s point of view. To prove the efficiency of the proposed method, it was compared to 16 state-of-the-art NR-IQA techniques on five large benchmark databases, i.e., CLIVE, KonIQ-10k, SPAQ, TID2013, and KADID-10k. It was demonstrated that the proposed method is superior to the state-of-the-art in terms of three different performance indices.
Strain Response and Buckling Behavior of Composite Cylindrical Shells Subjected to External Pressure with One End Fixed and the Other under Free Boundary Conditions
Authors: Shen Ke-Chun , Liu Xue-Jian , Huang Yi-Hua , Pan Guang
Published: September 2022

This study aims to reveal the buckling behavior of filament-wound composite cylindrical shells subjected to external pressure. The boundary conditions of the cylindrical shells were one end fixed and the other free. The carbon fiber stacking sequences were [±90]2/([±20]/[±90]/[±40]/[±90]/[±60]/[±90])2/[±90]. Finite element software ANSYS 16.2 was used for the numerical simulation to predict the critical buckling pressure and buckling behavior of composite cylindrical shell. External hydrostatic pressure tests were conducted, where the buckling behavior and strain response were observed. Numerical simulation accurately predicted the critical buckling pressure of carbon fiber/epoxy filament composite cylindrical shells under external pressure with 3.5% deviation from the experimental results. The buckling modes simulated by the finite element method agreed well with the deformed shape observed in the experiment, which was characterized by the uniform distribution of the three hoop waves. Comparing the axial compressive strain and hoop compressive strain of the composite shell, it was found that the circumferential stiffness of the shell was weaker than the axial stiffness. In addition, a comparative study of the strains of the fixed-end and free-end metal control sleeves was carried out. The results show that the boundary conditions have a significant influence on the strain response of control sleeves.
Design of a Compact Transfer Radiometer for a Radiometric Benchmark Transfer Chain
Authors: Lei Kaichao , Ye Xin , Xia Zhiwei , Xu Nan , Li Shuqi , Zhang Yachao , Wang Yuwei , Liu Zhiwei , Li Zhigang
Published: September 2022

In order to meet the high-accuracy calibration requirements of satellite remote sensing instruments, a transfer radiometer for an on-orbit radiometric benchmark transfer chain has been developed, which provides vital technical support for realizing the radiometric calibration uncertainty of the order of 10−3 for remote sensing instruments. The primary role of the transfer radiometer is to convert from the spectral power responsivity traceable to a cryogenic radiometer to the spectral radiance responsivity and transfer it to the imaging spectrometer. At a wavelength of 852.1 nm, the combined uncertainty of the radiance measurement comparison experiment between the transfer radiometer and a radiance meter is 0.43% (k = 1), and the relative deviation of the measurements between the transfer radiometer and the radiance meter is better than 0.36%, which is better than the combined uncertainty of the radiance measurement comparison experiment. This demonstrates that the transfer radiometer can achieve radiance measurements with a measurement uncertainty better than 0.3% (k = 1).
Multi Spherical Wave Imaging Method Based on Ultrasonic Array
Authors: Liu Zhi-Ying , Zhang Ping , Zhang Bi-Xing , Wang Wen
Published: September 2022

The imaging range of traditional plane wave imaging is usually limited by the directivity of the plane wave. In this paper, a multi spherical wave imaging method based on an ultrasonic array is proposed, which radiates both compression and shear waves in a solid medium to form the multi spherical wave. Firstly, excitation characteristics of the multi spherical wave are analyzed theoretically and the calculation method of echo delay of multi spherical wave imaging is derived. Multi spherical wave imaging is compared with conventional ultrasonic plane wave imaging by designing experiments. Compared with ultrasonic plane wave imaging, multi spherical wave imaging is not limited to the size of the transducer and can greatly improve the detection range. In addition, compared with the multi plane wave imaging method, the multi spherical wave imaging algorithm is relatively simple, fast, and has high application value.
Learning Gait Representations with Noisy Multi-Task Learning
Authors: Cosma Adrian , Radoi Emilian
Published: September 2022

Gait analysis is proven to be a reliable way to perform person identification without relying on subject cooperation. Walking is a biometric that does not significantly change in short periods of time and can be regarded as unique to each person. So far, the study of gait analysis focused mostly on identification and demographics estimation, without considering many of the pedestrian attributes that appearance-based methods rely on. In this work, alongside gait-based person identification, we explore pedestrian attribute identification solely from movement patterns. We propose DenseGait, the largest dataset for pretraining gait analysis systems containing 217 K anonymized tracklets, annotated automatically with 42 appearance attributes. DenseGait is constructed by automatically processing video streams and offers the full array of gait covariates present in the real world. We make the dataset available to the research community. Additionally, we propose GaitFormer, a transformer-based model that after pretraining in a multi-task fashion on DenseGait, achieves 92.5% accuracy on CASIA-B and 85.33% on FVG, without utilizing any manually annotated data. This corresponds to a +14.2% and +9.67% accuracy increase compared to similar methods. Moreover, GaitFormer is able to accurately identify gender information and a multitude of appearance attributes utilizing only movement patterns. The code to reproduce the experiments is made publicly.
Optical Identification of Parenteral Nutrition Solutions Exploiting Refractive Index Sensing
Authors: Bello Valentina , Bodo Elisabetta , Merlo Sabina
Published: September 2022

Parenteral artificial nutrition (PAN) is a lifesaving treatment for a large population of patients affected by different diseases, and it consists of intravenous injection of nutritive fluids by means of infusion pumps. Wrong PAN solutions are, unfortunately, often administered, thus threatening the patients’ well-being. Here, we report an optofluidic label-free sensor that can distinguish PAN solutions on the basis of their volumetric refractive index (RI). In our system, a monochromatic light beam, generated by a laser diode, travels obliquely through a transparent, square-section polystyrene channel, is then back-reflected by a mirror, and finally exits the channel in a position that depends on the filling fluid RI. The displacement of the output light spot ΔXexperim is easily detected with a linear, 1-D position sensitive detector (PSD). We initially calibrated the sensor with water-glucose solutions demonstrating a sensitivity S = ΔXexperim/Δn = 13,960 µm/RIU. We then clearly distinguished six commercial PAN solutions, commonly administered to patients. To the best of our knowledge, this is the first reported healthcare sensing platform for remote contactless recognition of PAN fluids, which could be inserted into infusion pumps to improve treatment safety, by checking the compliance to the prescription of the fluid actually delivered to the patient.
The Effect of Psychosocial Safety Climate on Engagement and Psychological Distress: A Multilevel Study on the Healthcare Sector
Authors: Platania Silvia , Morando Martina , Caruso Alice , Scuderi Vittorio Edoardo
Published: September 2022

All work sectors have been affected by the impact of the COVID-19 pandemic. The perception of risk combined with the lack of safety and fear for their own safety have caused severe psychological discomfort in workers. Of all the work sectors, the most affected was certainly the healthcare sector. In hospitals, medical staff were at the forefront of the battle against COVID-19, providing care in close physical proximity to patients and had a direct risk of being exposed to the virus. The main objective of the study was to investigate the perception of a psychosocial safety climate and the effect on engagement and psychological stress in a sample of 606 healthcare workers (physicians 39.6%, nurses 41.3%, healthcare assistant 19.1%), belonging to six organisations and organised into 11 working groups. Furthermore, we wanted to investigate the mediating effect of workaholism at both individual and group level. The results partially confirmed our hypotheses and the mediating effect at the individual level of working compulsively. A psychosocial safety climate in healthcare workers led to a decrease in engagement through the mediation of working compulsively. The mediating effect of working compulsively might be due to a climate that did not guarantee or preserve the psychological health and safety of healthcare workers. In this research, the most important limit concerns the number of organisations and the number of groups.
Determining the Reliability of Critical Controls in Construction Projects
Authors: Selleck Roberta , Hassall Maureen , Cattani Marcus
Published: September 2022

Across the global construction industry, fatalities continue to occur from high-risk activities, where the risk controls have been defined; however, these were unreliable. In the mining industry, Critical Control Risk Management has provided positive results in reducing major accidents, which raises the question, could the Critical Control approach reduce the fatality rate in the construction industry? This study analyzed 10 years of serious and fatal incident investigation reports from four international construction companies to (i) assess the reliability of their Critical Controls (CCs) and (ii) assess the factors that affect the reliability of CCs. The results show the reliability of CCs, measured by implementation and effectiveness, averaged just 42%. Insight into human performance and organizational factors, including risk identification, decision-making and competency, together with supervision, job planning and communication, were identified as opportunities to improve the reliability of CCs. The study used bowtie diagrams with real event data to find the actual CC reliability. This appears to be the first published study that reports on the reliability of critical risk controls in construction. It demonstrates a feasible method for determining and communicating control effectiveness that can be used to deliver meaningful insights to industry practitioners on actual control performance and focus areas for improvement. In addition, actionable findings directly related to individual CCs can be derived that enable the participating organization to focus resources on improving specific verification processes. The results confirm the applicability of CCs for the Major Accident Event hazards analyzed and highlights that further reviews are required on the factors that need to be considered when implementing a CC program. This paper details our methodology and results, to assist others applying CCs as a risk management tool.
SDS: Scrumptious Dataflow Strategy for IoT Devices in Heterogeneous Network Environment
Authors: Rasheed Zeeshan , Ashraf Shahzad , Ibupoto Naeem Ahmed , Butt Pinial Khan , Sadiq Emad Hussen
Published: September 2022

Communication technologies have drastically increased the number of wireless networks. Heterogeneous networks have now become an indispensable fact while designing the new networks and the way the data packet moves from device to device opens new challenges for transmitting the packet speedily, with maximum throughput and by consuming only confined energy. Therefore, the present study intends to provide a shrewd communication link among all IoT devices that becomes part of numerous heterogeneous networks. The scrumptious dataflow strategy (SDS) for IoT devices in the heterogeneous network environment is proposed and it would deal with all link selection and dataflow challenges. The SDS would accomplish the targeted output in five steps: Step 1 determines the utility rate of each heterogeneous link. Step 2 develops a link selection attribute (LSA) that gauges the loads of network features used for the link selection process. Step 3 calculates the scores of all heterogeneous networks. Step 4 takes the LSA table and computes the network preference for different scenarios, such as round trip time (RTTP), network throughput, and energy consumption. Step 5 sets the priority of heterogeneous networks based on the scores of network attributes. Performance of the proposed SDS mechanism with state of the art network protocols, such as high-speed packet access (HSPA), content-centric networking (CCN), and dynamic source routing (DSR), was determined by conducting a simulation with NS2 and, consequently, the SDS exhibited its shrewd performance. During comparative analysis, in terms of round trip time, the SDS proved that it utilized only 16.4 milliseconds to reach IoT device 50 and was first among all other protocols. Similarly, for network throughput, at IoT device 50, the throughputs of the SDS are recorded at 40% while the rest of other protocols were dead. Finally, while computing the energy consumption used to reach IoT device 50, the SDS was functional and possessed more than half of its energy compared to the other protocols. The SDS only utilized 302 joules while the rest of the protocols were about to die as they had consumed all of their energy.
An Integrated Quantitative Safety Assessment Framework Based on the STPA and System Dynamics
Authors: Jiao Jian , Jing Yongfeng , Pang Shujie
Published: September 2022

With the complexity of the socio-technical system, the requirement for safety analysis is growing. In actuality, system risk is frequently created by the interaction of numerous nonlinear-related components. It is essential to use safety assessment methods to identify critical risk factors in the system and evaluate the safety level of the system. An integrated safety assessment framework combining the system theoretic process analysis (STPA), the analytic network process (ANP) and system dynamics (SD) is suggested to analyze the safety level of socio-technical systems to achieve qualitative and quantitative safety evaluation. Our study constructs an STPA and SD integration framework to demonstrate the practical potential of combining STPA and SD approaches in terms of risk factors and causality. The framework uses the STPA method to define the static safety control structure of the system and analyzes the primary risk factors. The unsafe control actions (UCAs) from the STPA method are transformed into network layer elements of ANP. The ANP method is used to calculate the element weights, which are the impact coefficients between the system dynamics (SD) variables. The SD method is used to assess the safety level of the system. Finally, a specific coal mining system is used to demonstrate how the proposed hybrid framework works. The results indicated that the safety level of the system was low on days 38 and 120 of the simulation cycle (one quarter). Our work can overcome the limitations of conventional STPA quantitative analysis and simplify SD qualitative modeling to serve as a reference for complicated system safety/risk analysis work.
A Two-Staged SEM-Artificial Neural Network Approach to Analyze the Impact of FinTech Adoption on the Sustainability Performance of Banking Firms: The Mediating Effect of Green Finance and Innovation
Authors: Yan Chen , Siddik Abu Bakkar , Yong Li , Dong Qianli , Zheng Guang-Wen , Rahman Md Nafizur
Published: September 2022

This study aims to examine the effect of FinTech adoption on the sustainability performance of banking institutions in an emerging economy such as Bangladesh. Besides, this study also investigates the mediating role of green finance and green innovation in the relationship between FinTech adoption and sustainability performance. To examine the relationship among the study variables, this study used data from 351 employees of banking institutions operating in Bangladesh during the period January to March 2021 using a convenience sampling method. Furthermore, the study utilized a two-staged structural equation modeling and an artificial neural network (SEM-ANN) approach to analyze the data. The findings show that FinTech adoption significantly influences green finance, green innovation, and sustainability performance. Similarly, the results indicate that green finance and green innovation have a significant positive influence on sustainability performance. Furthermore, the results reveal that green finance and green innovation fully mediate the relationship between FinTech adoption and the sustainability performance of banking institutions. Moreover, the present study contributes to the existing literature on technological innovation, green finance, and sustainability performance greatly as it is the first study to examine both linear and non-linear relationships among these variables using the SEM-ANN approach. As a result, the study highlights the importance of FinTech adoption, green finance, and innovation in the attainment of sustainability performance, as well as the urgent need to incorporate new technologies, green initiatives, and financing into banking strategies to help achieve the country’s sustainable economic development.
Changes in Toxin Production, Morphology and Viability of Gymnodinium catenatum Associated with Allelopathy of Chattonella marina var. marina and Gymnodinium impudicum
Authors: Fernández-Herrera Leyberth José , Band-Schmidt Christine Johanna , Zenteno-Savín Tania , Leyva-Valencia Ignacio , Hernández-Guerrero Claudia Judith , Hernández-Sandoval Francisco Eduardo , Bustillos-Guzmán José Jesús
Published: September 2022

Allelopathy between phytoplankton organisms is promoted by substances released into the marine environment that limit the presence of the dominating species. We evaluated the allelopathic effects and response of cell-free media of Chattonella marina var. marina and Gymnodinium impudicum in the toxic dinoflagellate Gymnodinium catenatum. Additionally, single- and four-cell chains of G. catenatum isolated from media with allelochemicals were cultured to evaluate the effects of post exposure on growth and cell viability. Cell diagnosis showed growth limitation and an increase in cell volume, which reduced mobility and led to cell lysis. When G. catenatum was exposed to cell-free media of C. marina and G. impudicum, temporary cysts and an increased concentration of paralytic shellfish toxins were observed. After exposure to allelochemicals, the toxin profile of G. catenatum cells in the allelopathy experiments was composed of gonyautoxins 2/3 (GTX2/3), decarcarbamoyl (dcSTX, dcGTX2/3), and the sulfocarbamoyl toxins (B1 and C1/2). A difference in toxicity (pg STXeq cell−1) was observed between G. catenatum cells in the control and those exposed to the filtrates of C. marina var. marina and G. impudicum. Single cells of G. catenatum had a lower growth rate, whereas chain-forming cells had a higher growth rate. We suggest that a low number of G. catenatum cells can survive the allelopathic effect. We hypothesize that the survival strategy of G. catenatum is migration through the chemical cloud, encystment, and increased toxicity.
Optimization of Gonyautoxin1/4-Binding G-Quadruplex Aptamers by Label-Free Surface-Enhanced Raman Spectroscopy
Authors: Liu Yan , Jiang Chengshun , Song Menghua , Cao Yongbing , Huang Qiang , Lu Feng
Published: September 2022

Nucleic acids with G-quadruplex (G4) structures play an important role in physiological function, analysis and detection, clinical diagnosis and treatment, and new drug research and development. Aptamers obtained using systematic evolution of ligands via exponential enrichment (SELEX) screening technology do not always have the best affinity or binding specificity to ligands. Therefore, the establishment of a structure-oriented experimental method is of great significance. To study the potential of surface-enhanced Raman spectroscopy (SERS) in aptamer optimization, marine biotoxin gonyautoxin (GTX)1/4 and its G4 aptamer obtained using SELEX were selected. The binding site and the induced fit of the aptamer to GTX1/4 were confirmed using SERS combined with two-dimensional correlation spectroscopy. The intensity of interaction between GTX1/4 and G4 was also quantified by measuring the relative intensity of SERS bands corresponding to intramolecular hydrogen bonds. Furthermore, the interaction between GTX1/4 and optimized aptamers was analyzed. The order of intensity change in the characteristic bands of G4 aptamers was consistent with the order of affinity calculated using microscale thermophoresis and molecular dynamics simulations. SERS provides a rapid, sensitive, and economical post-SELEX optimization of aptamers. It is also a reference for future research on other nucleic acid sequences containing G4 structures.
The Neurotoxic Effect of Ochratoxin-A on the Hippocampal Neurogenic Niche of Adult Mouse Brain
Authors: Mateo Eva , Tonino Rik Paulus Bernardus , Canto Antolin , Monroy Noyola Antonio , Miranda Maria , Soria Jose Miguel , Garcia Esparza María Angeles
Published: September 2022

Ochratoxin A (OTA) is a common secondary metabolite of Aspergillus ochraceus, A. carbonarius, and Penicillium verrucosum. This mycotoxin is largely present as a contaminant in several cereal crops and human foodstuffs, including grapes, corn, nuts, and figs, among others. Preclinical studies have reported the involvement of OTA in metabolic, physiologic, and immunologic disturbances as well as in carcinogenesis. More recently, it has also been suggested that OTA may impair hippocampal neurogenesis in vivo and that this might be associated with learning and memory deficits. Furthermore, aside from its widely proven toxicity in tissues other than the brain, there is reason to believe that OTA contributes to neurodegenerative disorders. Thus, in this present in vivo study, we investigated this possibility by intraperitoneally (i.p.) administering 3.5 mg OTA/kg body weight to adult male mice to assess whether chronic exposure to this mycotoxin negatively affects cell viability in the dentate gyrus of the hippocampus. Immunohistochemistry assays showed that doses of 3.5 mg/kg caused a significant and dose-dependent reduction in repetitive cell division and branching (from 12% to 62%). Moreover, the number of countable astrocytes (p < 0.001), young neurons (p < 0.001), and mature neurons (p < 0.001) negatively correlated with the number of i.p. OTA injections administered (one, two, three, or six repeated doses). Our results show that OTA induced adverse effects in the hippocampus cells of adult mice brain tissue when administered in cumulative doses.
Gut–Kidney Axis Investigations in Animal Models of Chronic Kidney Disease
Authors: Bartochowski Piotr , Gayrard Nathalie , Bornes Stéphanie , Druart Céline , Argilés Angel , Cordaillat-Simmons Magali , Duranton Flore
Published: September 2022

Chronic kidney disease (CKD) is an incurable disease in which renal function gradually declines, resulting in no noticeable symptoms during the early stages and a life-threatening disorder in the latest stage. The changes that accompany renal failure are likely to influence the gut microbiota, or the ecosystem of micro-organisms resident in the intestine. Altered gut microbiota can display metabolic changes and become harmful to the host. To study the gut–kidney axis in vivo, animal models should ideally reproduce the disorders affecting both the host and the gut microbiota. Murine models of CKD, but not dog, manifest slowed gut transit, similarly to patient. Animal models of CKD also reproduce altered intestinal barrier function, as well as the resulting leaky gut syndrome and bacterial translocation. CKD animal models replicate metabolic but not compositional changes in the gut microbiota. Researchers investigating the gut–kidney axis should pay attention to the selection of the animal model (disease induction method, species) and the setting of the experimental design (control group, sterilization method, individually ventilated cages) that have been shown to influence gut microbiota.
Actualization of the problem of forming the public speaking experience
Authors: Ryndak Valentina G. , Saldaeva Olga V. , Allagulo Artur M. , Chelpachenko Tatyana V. , Zhirnova Alexandra I.
Published: September 2022

The article emphasizes that the experience of public speaking of the future teacher is a necessary condition for his pedagogical activity. An overview of the fundamental works of domestic and foreign studies on the topic under study is given. Their scientific contribution to pandemic pedagogy and the problems of researching the practice of personal growth, tools, means, the formation of the experience of public speaking of the future teacher, which are supplemented in the article with audience management techniques, generalization of the experience of public speaking of future teachers; materials, research methods (theoretical analysis, observation, analysis of the experience of the authors of the article) are described.   The results reveal the basic principles of rhetoric on which the success of public speaking is based. Also, it highlighted the ways in which the speakers managed to establish contact with the audience and attract attention during the speech.
Optimization of Learning Through E-Learning Applications in The Covid-19 Pandemic
Authors:   Departemen Ilmu Komunikasi, Universitas Komputer Indonesia, Indonesia, Rahayu E S , Hayat I Q , Yulianto E A
Published: September 2022

Education is a conscious effort to develop personality, guide the abilities and education of students, both formal and non-formal. Currently, education in Indonesia is entering the 4.0 era, technological developments during the Covid-19 pandemic have become business opportunities, including in the field of education such as tutoring (BIMBEL). This study aims to analyze the optimization of learning programs through the Zenius e-learning- based application which is often used by students, especially during the Covid-19 pandemic , where this is one of the implementations of using technology as an educational tool developed through e-learning . This study uses a literature study method obtained from journals, and other supporting data from various studies and research results that are relevant to optimizing the Zenius application. The results of this study are that it can be seen how optimal the procurement of e-learning sites is as a means to maximize distance learning for students, especially during the current Covid-19 pandemic . This can be known through the process of studying literature through digital media which will be carried out by the public in order to get the desired results regarding the platform of the e-learning . The benefits of this research include being able to review how optimal the e-learning platform is to facilitate students in maximizing distance learning during pandemic conditions like today, so that it can be seen to what extent it is running quite optimally. Thus, the conclusion of this study is that by utilizing technology to maximize distance at this time is effective, because with the existence of sites or renewable features regarding e-learning, it can make the teaching and learning process can be carried out without being constrained by space and time.
Implementation of E-Voting in The Election of The OSIS Chairman of Smkn 2 Rancaekek
Authors:   Departemen Sistem Informasi, Universitas Komputer Indonesia, Indonesia, Ramadan Muhamad , Laoli Damai Saputra , Abdillah Muhammad Rifqu
Published: September 2022

In a school organization called OSIS, in general, there must always be a leader or can be called the chairman of the organization, there is an OSIS organization chairman, which aims to promote and prosper the organization in junior high schools and vocational schools, they also must have leadership structures and when We need a leader who deserves to be elected. Therefore This study aims to implement E- VOTING in the selection of student council leaders at SMKN 2 RANCAEKEK because some of the schools are still elected directly or can also be called by voting using paper. To support the research, we use the waterfall method of software development. The sequence in the waterfall method is very serial starting from the planning process of analysis, design, and implementation of the system. results show that election chairman OSIS this use Besides Fulfill principles, we must follow development technology Information as well as speed up the results of the vote recapitulation. Electronic voting or E-Voting is something from collection voice which normally used election general using electronic media. E-Voting also makes elections easierfor example: no eat the cost, speeds up recapitulation voice, honest, fair, happening transparency, and reduces fraud. Because that paper, discusses the application of E- Voting if it is applied to the field of school organization, namely in schools Vocational High School 2 RANCAEKEK.
Education on the Relationship between Body Mass Index and Balanced Nutrition for School-Age Children Through Video Learning (Case Study of Integrated Islamic Elementary School Daarul Fikri grade 6, Cihanjuang Village)
Authors:   Pendidikan Manajemen Perkantoran, Universitas Pendidikan Indonesia, Indonesia, Hanifah Zerlina Ghina , Nandiyanto Asep Bayu Dani ,   Departemen Kimia, Universitas Pendidikan Indonesia, Indonesia
Published: September 2022

This study aims to determine the level of students' understanding through learning videos regarding the relationship between Body Mass Index (BMI) education and balanced nutrition in 6th grade elementary school-aged children at integrated Islamic elementary school Daarul Fikri, Cihanjuang Village. Quantitative research method with pre-experimental design type one group pretest-posttest. The research was conducted on 20 6th grade students of integrated Islamic elementary school Daarul Fikri. The research was conducted in 3 stages, namely (i) pre-test; (ii) education through learning videos; and (iii) post-test. The results showed the average value of the pretest was 67.25 and the average posttest was 79.25. The comparison of pretest and posttest showed an increase in students' knowledge after taking action through learning videos. The result of calculating the average N-Gain value is 0.34 (34%) which shows that education through learning videos regarding the relationship between Body Mass Index (BMI) and balanced nutrition is not effective. This is because the students' pre-test scores are quite good. As for the results of the calculation of the t-test, it is known that T count (-6.564) < T table (1.729) means that the posttest scores of students increase but are not significant. With the completion of this study, it is hoped that more school-age children will understand the relationship between Body Mass Index and balanced nutrition. That we can identify the nutritional status that will affect the health of our bodies.
Ruang Kurban App: As a virtual reality (VR) Qurban of Simulation Application in Children's Learning Media
Authors:   Departemen Desain Komunikasi Visual, Universitas Komputer Indonesia, Indonesia, Herdiansyah Hendri , Zulfa Muhammad Indana , Hidayat P Muhammad Taufik
Published: September 2022

The development of a technological progress that is so very fast from ancient times until now, cannot be simply rejected, ranging from agriculture, social, culture to education which really helps all human activities become more efficient, one of the developments of this technological progress in the field of education is making innovations in the field of education, interactions become more diverse, such as where one of them is Virtual Reality (VR) technology in the form of applications on smartphones. The purpose of this research is to help the progress of education with the application of a sacrifice simulation that will be made as a learning medium for children. The research method that we use in our journal is a qualitative method, the results of this study make the application of qurban simulation to increase children's interest in learning in religious matters, namely understanding qurbani in a more different way. The main concept in this application is to present virtual reality regarding the simulation of sacrifices as a medium for children's learning. In the conclusion of this study, therefore with this application, virtual reality sacrifice applications can be made as children's learning media and help teachers in each school to teach and with this application children can feel directly in the form of virtual reality
The Effect of Socialization through Video Education The Effect of Food Maturity Level on Food Nutritional Content
Authors:   Departemen Manajemen Industri Katering, Universitas Pendidikan Indonesia, Indonesia, Maulana Wowon , Nandiyanto Asep Bayu Dani ,   Departemen Kimia, Universitas Pendidikan Indonesia, Indonesia
Published: September 2022

This education aims to invite the public to recognize food nutrition and its potential dangers if errors occur in food processing, namely a form of educational video-based learning media, for people who live in Cigugur Girang, Parongpong, Indonesia. The method used is by using educational video dissemination media to 10 adolescent adults in Cigugur Girang with an age range of 17-28 years. Respondents consisted of 4 women and 6 men. The research was conducted through three stages; (1) pre-test before providing education to respondents; (2) education through video media; (3) post-test after providing education to respondents. The results of this study indicate an increase in respondents' knowledge after the implementation of their actions. The results of the study are based on the N-Gain value which is known to be the average value (%). Based on the test value of T (-4.205) < T table (2.023) which means the value of the questionnaire increased not significantly. Based on the completion of this research, it is hoped that more people be able to find out by knowing the level of food maturity and nutritional content
Improving The Performance of Informal MSMES Determinate by Digital Financial Inclusion and Digital Financial Literacy
Authors:   Faculty of Economics and Business, Universitas Komputer Indonesia, Indonesia, Pratiwi Sekar Budi , Rahayu Siti Kurnia
Published: September 2022

The purpose of this study is to examine and analyses the magnitude of the contribution of increasing digital financial inclusion and increasing digital financial literacy to efforts to increase the employment of Informal MSMEs. The data used is primary data with a closed questionnaire instrument using online media. The study method used is quantitative method. The population of this study is MSMEs in the Bandung City area, where the sample used was 129 Informal MSME actors using a simple random sampling technique because respondents were homogeneous. The data were analysed descriptively and hypothesis testing using analysis path (SPSS version 23.0). Has a result of the study concluded that digital financial literacy has an influence on digital financial inclusion, and digital financial dilution has an influence on the performance of Informal MSMEs, and digital financial iterations have an influence on the performance of Informal MSMEs through digital financial inclusion.
A Study of Investment Awareness and Preference of Individuals Toward Various Mutual Fund Schemes with Reference to Islampur City
Authors:   Department of Management Studies, Rajarambapu Institute of Technology, Islampur, Maharashtra, India, M. Gidde Mr. Shekhar , Gaikwad Dr. Hemlata
Published: September 2022

Mutual fund is an investment option which includes bonds, stock or securities used by the professional money managers. Investment is done for earning the regular and risk free returns from investment. In our country number of investment options are available, they are ranging from insurance policies to stocks. The study aims at finding the awareness of individuals towards mutual fund and preferences toward it. In our study it is found that the more number of respondents are aware about mutual fund. Investors purchase funds from brokers and asset management companies in large numbers. The majority of respondents are satisfied with mutual fund investment
Neoliberalismo, precariedade e diversidade: notas sobre a circulação de pesquisadores indianos na universidade britânica
Authors: Ferreira Vinícius Kauê
Published: September 2022

A partir de uma pesquisa sobre as circulações de pesquisadores indianos em ciências sociais na Europa, analiso as articulações entre neoliberalismo e precariedade acadêmica na universidade britânica a partir de um ponto de vista pós-colonial. Para tanto, o artigo está estruturado do seguinte modo: (i) introduzo e situo sociológica e historicamente o objeto deste estudo; (ii) realizo uma discussão conceitual que coloca em perspectiva quatro questões-chave deste estudo: neoliberalismo, precariedade, mobilidade e pós-colonialidade; (iii) por fim, demonstro etnograficamente como diásporas e o discurso da diversidade têm um papel fundamental na compreensão de movimentos contemporâneos de neoliberalização da universidade. De modo geral, argumento que uma história colonial e pós-colonial, mais recentemente atualizada em discurso decolonial, é apropriada pelo sistema universitário europeu na produção de uma economia global do conhecimento eminentemente neoliberal.
A Study on Bharat Ratna Dr. M. G. Ramachandran’s Philosophical Film Songs that Contain the Ideas of Socialistic and Communistic Ideas Which can be Compared More Specifically with the Communist Manifesto as Propounded by Karl Marx and Engels – An Academic Comparative Study, using a Novel Methodology
Authors: Sarvaharana P. , Thiyagarajan Dr. P. , Manikandan Dr. S.
Published: September 2022

It is a fact that super-hero like Makkal Thilagam Bharat Ratna Dr.M.G.Ramachandran took upon himself the responsibility of not only producing quality movies but also paid personal attention to produce quality songs as he thought that good messages could be propagated through film songs to millions of his fans. In view of this Bharat Ratna Dr.M.G.Ramachandran availed the assistance of peers, and eminent lyricist like the great Pattukottaiyar, Kaviyarasu Kannadasan, Kavinger Valli,Marudhakasi,and also encouraged emerging writers like Na.Muthulingam to write songs for his movies. Given such extraordinary efforts made by Puratchi Thalaivar Dr.MG Ramachandran, his film songs contain ideas of ethics, denouncing corruptive practice, right to education, equity and social justice (communism). In this paper, an attempt has been made to deal with fourteen of such songs that contain the ideas that can be compared with Socialistic and Communistic theory as propounded by the Great Karl Marx. Part of the research work had been published in the World Journal for Social Science Research (http://wjss.sciedupress.comVol. 5, No. 1; 2018; PP 46-66Published by Sciedu Press).