bluuebunny/crossref_metadata_2025 huggingface dataset:
Burg power spectral density-based characterization of Doppler blood flow sound during hemorrhoidal artery ligation
Authors: Santoso Daniel , Wahyunggoro Oyas , Nugroho Prapto
Published: May 2022

Hemorrhoidal artery ligation (HAL) has become universally accepted minimally invasive treatment of hemorrhoids disease. HAL involves precise identification of the superior rectal arteries supplying hemorrhoidal tissues using ultrasonic Doppler principles. During this process, at least there are three distinct sounds may be encountered by the surgeon. Only the pulsing Doppler sound is useful as it indicates the presence of hemorrhoidal artery. The accuracy based on traditional auscultation is commonly affected by surgeon’s hearing sensitivity and clinical experience. Therefore, automatic Doppler blood flow sound will be a great help in locating hemorrhoidal arteries. In this paper, a method based on the center frequency and kurtosis features extracted from Burg’s power spectral density (PSD) to distinguish three different types of Doppler blood flow sound signal during HAL procedure is proposed. Separability measurement was carried out using K– means clustering with the city block distance and three clusters corresponding to different sound types are successfully formed. In terms of arterial sound detection, an accuracy of 94.11% can be achieved. This result suggests that centre frequency, kurtosis, and maybe some other statistical features extracted from Burg PSD have the potential to be utilized as a means in automatic Doppler blood flow sound recognition.
A study on agricultural engineering equipment in South Tamilnadu using linear regression
Authors: Thangavel Chandrakumar , Thangavel Ramya , Chandran Karthik , Suryanarayana Gunnam , Chowdhury Subrata , Uyen Nguyen Duc , Nguyen Thi-Thu , Tran Duc-Tan
Published: May 2022

Economic growth in India purely depends on the Indian agricultural sector. In developing countries, the mechanization of agriculture plays a vital role in productivity. The research focuses on identifying which farmers in South Tamilnadu mostly use agricultural machinery. In this paper, we have taken farmer names and mobile numbers, choice of implement requirement into consideration by collecting the real data through DBT portal (https://agrimachinery.nic.in). This research work deals with five southern districts in Tamilnadu, namely Dindigul, Madurai, Theni, Ramnad, and Virudhunagar, in which we have predicted which machinery is suitable for that area. The linear regression model was used in this research by testing and training the dataset in all five data frames to get efficient results. Prediction of each data frame reveals the efficient working of the particular machinery for that specific area due to the different geographical features.
Performance of circular patch microstrip antenna for adaptive modulation and coding applications
Authors: Alsawaf Hiba A. , Ahmad Bushra Muhammed
Published: May 2022

The thickness of the substrate is one factor influencing antenna performance. In this paper, the circular patch antenna was designed using rogers RT5880 with dielectric constant of 2.20, loss kept 0.0009 and FR-epoxy with dielectric constant of 4.4, loss kept 0.02. The thickness of the substrate was varied to see how it affected antenna performance, such as return loss. The thickness of the checked substrate is 1.58 mm, which is the standard thickness for rogers RT5880 as well as 2.08 mm, 2.58 mm and 2.85 mm. The simulation work is carried out by ANSYS HFSS software. In this paper, the thicknesses of different substrates are checked while other parameters stay constant and the circular patch radius of the antennas is optimized to achieve a resonant frequency of 3.5 GHz based on the thickness of the above-mentioned substrates used. Return loss, VSWR, gain and half power beam width were found, and the results showed that with the increase in the thickness of the substrate, the gain increases and the value of half power beam width (HPBW) and better results were obtained in the case of RTduroid 5880 and for thicknesses h=2.85 mm
Face detection and global positioning system on a walking aid for blind people
Authors: Abdurrasyid Abdurrasyid , Indrianto Indrianto , Susanti Meilia Nur Indah
Published: May 2022

Blindness is a general term used for the condition of someone who experiences a disturbance or obstacle in their sense of sight. In general, blind people walk with special canes to help them walk and increase their safety. However, there are problems that arise when blind people walk home or go from a path that they are used to or to a place where they have never traveled. There is the possibility that blind people get lost and find it difficult to determine their way home because they don't know where they are going. For this reason, it is necessary to create a system that can monitor their whereabouts in real time and provide directions, provide information on the steps to their destination and they can also notify their families and related foundations if they are in trouble. For this reason, it is necessary to make an integrated tool with the haar cascade method to detect faces to find out whether there are humans or other obstacles that can shows 94% accuracy, in addition a global positioning system (GPS) can help blind people to show the direction of the destination.
Chest Radiographs Images Retrieval Using Deep Learning Networks
Authors: Mahmoud Sawsan M. , Al-Jubouri Hanan A. S. , Abdoulabbas Tawfeeq E.
Published: May 2022

Chest diseases are among the most common diseases today. More than one million people with pneumonia enter the hospital, and about 50,000 people die annually in the U.S. alone. Also, Coronavirus disease (COVID-19) is a risky disease that threatens the health by affecting the lungs of many people around the world. Chest X-ray and CT-scan images are the radiological imaging that can be helpful to detect COVID-19. A radiologist would need to compare a patient's image with the most similar images. Content-based image retrieval in terms of medical images offers such a facility based on visual feature descriptor and similarity measurements. In this paper, a retrieval algorithm was developed to tackle such challenges based on deep convolutional neural networks (e.g., ResNet-50, AlexNet, and GoogleNet) to produce an effective feature descriptor. Also, similarity measures such as City block and Cosine were employed to compare two images. Chest X-ray and CT-scan datasets used to evaluate the proposed algorithms with a highest performance applying ResNet -50 (99% COVID-19 (+) and 98% COVID-19 (–)) and GoogleNet (84% COVID-19 (+) and 81% COVID-19 (–)) for X-ray and CT-scan respectively. The percentage increased about 1-4% when voting was used by a k-nearest neighbor classifier
Downlink channel analysis at multi-cell massive MIMO: novel adaptive channel allocation scheme
Authors: Bawage Sandeep Dhanraj , Shivkumar Manjula
Published: May 2022

In large multiple-input multiple-output (MIMO) systems, we offer a new access strategy for crowd situations. Crowd situations include a high number users who have intermittent access patterns, making orthogonal scheduling impossible. In this paper, the work is driven by the massive MIMO problem at crowded environment. The pilot contamination problem is dependent on the protocol assumptions is observed in the system. We investigate a crowd situation in which the users number and their access behaviours make scheduling broadcasts impossible. The pilot assignment is time-slot randomized, but the data portion is repeated, allowing it to use successive-interference-cancellation across copies of comparable packets. In result analysis, the transmission of downlink to the user has shown with changing the number of users, fading effect, transmission power and the number of base station antennas.
Internet of things based automated agriculture system for irrigating soil
Authors: Kibria Md. Golam , Seman Mohamad Tarmizi Abu
Published: May 2022

This work describes the design of an internet of things (IoT)-based prototype system for outdoor agriculture farmland that employs low-cost sensors for detecting basic agriculture parameters such as soil moisture level, air temperature, and air humidity to irrigate the farmland automatically and manually while tracing the water volume. Therefore, since the water requirement varies according to plant type and plant growth stages, this research focuses on a feature where user can adjust the soil moisture level from software according to the plant type and age stages so that a suitable moisture level can be maintained for plants. Apart from that, the system also has a feature to adjust the temperature threshold limit from the application software so that when the temperature sensor value exceeds the respective threshold limits, it sprinkles the water for a limited time so that plants are not damaged due to overheating. Google sheets is used for cloud storage, and Wi-Fi is used to send data to the cloud using the HTTP protocol. The Blynk application software is used to monitor and control purposes.
Developing a network time server for LEO optical tracking
Authors: Anh Tu Tran , Van Thuc Nguyen , Xuan Huy Le
Published: May 2022

In 2021, to enhance the Vietnam's capability in space situational awareness, Vietnam national space center started to develop a space surveillance and tracking system using optical telescopes. An important part of the system is getting accurate timing to guarantee high quality astrometry measurements. A time server was self-developed to meet the demand. The device takes reference time from global navigation satellite system (GNSS) and synchronizes the time to all computers in the network using network time protocol (NTP). GNSS antenna, GNSS receiver module, and Raspberry Pi 4 were used to build a simple stratum 1 NTP time server. The device works smoothly, the synchronization is accurate and stable in both the server and the clients.
Assessment of an independent solar/diesel power generation system for an inaccessible community in Algeria
Authors: Mohamed Amara , Mohamed Mostefai , Mhamed Sekour
Published: May 2022

In general, for isolated regions, the cost of extending the electricity grid is very high. Among the solutions, we can use diesel generators (DG) and photovoltaic systems. In this work, we have studied the two Structures using the hybrid system solar-diesel with AC/AC coupling and AC/DC coupling. With the help of the HOMER program, a technical-economic analysis of the system and comparing the cost and the optimal configuration in a mountainous area isolated from the power grid is made, as well as a comparison between the cost and amount of energy produced annually corresponding to two proposed structures. The results showed that hybrid system AC/AC coupling is the suitable solution that gives technical and economic performance and environmental pollution reduction, with low cost and ecology energy compared to the energy generated by the second structure.
Data driven approach for stochastic data envelopment analysis
Authors: Sihotang Hengki Tamando , Efendi Syahril , Zarlis Muhammad , Mawengkang Herman
Published: May 2022

Decision making based on data driven deals with a large amount of data will evaluate the process's effectiveness. Evaluate effectiveness in this paper is measure of performance efficiency of data envelopment analysis (DEA) method in this study is the approach with uncertainty problems. This study proposed a new method called the robust stochastic DEA (RSDEA) to approach performance efficiency in tackling uncertainty problems (i.e., stochastic and robust optimization). The RSDEA method develops to combine the stochastics DEA (SDEA) formulation method and Robust Optimization. The numerical example demonstrates the performance efficiency of the proposed formulation method, with the results performing confirmed that the efficiency value is 89%.
New robot path planning optimization using hybrid GWO-PSO algorithm
Authors: Alabdalbari Ayad Abdulrahem , Abed Issa Ahmed
Published: May 2022

Actually, path planning is one of the most crucial aspects of mobile robots study. The primary goal of this research is to develop a solution to the path planning issues that occur when a “mobile robot” operates in a static environment. The problem is handled by finding a collision-free path that meets the given criteria for the shortest distance with quite the smoothness of the path. Two nature-inspired metaheuristic algorithms are used in the computation. By leading a hybrid “gray wolf optimization” with the “particle swarm optimization” (HGWO-PSO) computation that restricts the distance and follows path perfection guidelines, the primary shape is improved. In addition, simulation findings reveal that the proposed HGWO-PSO method is deeply serious in terms of path optimality when compared to path planning approaches such as group search optimizer GSO, PSO, artificial bee colony ABC, and GWO.
Studying and analyzing the performance of photovoltaic system by using fuzzy logic controller
Authors: H. Salman Uzba , Fleyeh Nawaf Shahir , Omar Salih Mohammad
Published: May 2022

The main objective of this paper is to implement a circuit-based simulation model of a photovoltaic (PV) cell in order to investigate the electrical behavior of the practical cell with respect to some changes in weather parameters such as irradiation and temperature. The research focuses on using a simulation model to achieve the maximum power of solar energy by using the maximum power point tracking (MPPT) controller. The circuit simulation model consists mainly of three subsystems: PV cells: DC/DC converter; and MPPT controller-based logic fuzzy control. Dynamic analysis of the system is carried out and the results are recorded. The maximum power control function is achieved with the appropriate power control of the power inverter. Fuzzy logic controller has been used to perform MPPT functions to get maximum power from the PV panel. The proposed circuit was implemented in MATLAB/Simulink and the results show that the output sequence is non-linear and almost constant current to the open circuit voltage and the power has maximum motion to voltage for certain environmental conditions.
Sliding-mode control design of a slotless self-bearing motor
Authors: Nhan Vo Duc , Bien Nguyen Xuan , Dich Nguyen Quang , Ha Vo Thanh
Published: May 2022

Scientists have explored and are studying a slotless self-bearing motor, an electric motor with a magnetically integrated bearing function. As a single actuator, it can provide both levitation and rotation. This article will show a slotless self-bearing motor with a stator that does not have an iron core but six-phase coils. A permanent magnet and an enclosed iron yoke make up the rotor. To regulate the rotational speed and radial location of the rotor, magnetic forces created by the interaction between stator currents and the magnetic field of permanent interest are investigated. This research also includes a slotless-bearing motor mathematical model and control approach. This motor is investigated by combining an AC motor with a magnetic drive to achieve the essential design criterion and low cost. The magnetic force and moment characteristics are theoretically analyzed, and a control technique is proposed. Sliding-mode control (SMC) is a control method that is simple, effective and utilized to serve the control system for approaching the reference value, as stated in this study. It's also commonly used to manage the motor's position and speed. The findings were built and evaluated using MATLAB/Simulink confirmed analytical results to prove the recommended control approach.
The predictors of adopting cloud computing e-learning in Iraq: the role of technology readiness
Authors: Katheeth Zainab Dalaf , Alathari Bashar , Noor Ammar Dheyaa
Published: May 2022

Cloud computing electronic learning (CCEL) is a new technology that enables educators and students to extend the storage and access learning materials. The use of this technology is limited worldwide. However, in the time of COVID 19, this technology becomes essential for the educational processes. The purpose of this study is to examine the predictors of using CCEL among academic staff and students in Iraq. Based on literature, this study proposed that perceived ease of use (PEOU), perceived usefulness (PU), and subjective norms (SN) will affect the intention to use (IU) which in turn will affect the actual use (AU). Attitude (AT) is proposed to mediate the relationships while technology readiness (TR) is proposed as a moderator. The data is collected from 331 students and academic staff in three Iraqi universities using stratified sampling. Data analysis is conducted using SmartPLS. The results showed that PEOU, PU, and SN affect positively IU which in turn affected AU. AT mediated partially the effect of PEOU, PU, and SN on IU while TR moderated only the effect of PEOU on IU. Decision makers are recommended to simplify the usage of CCEL and to conduct workshops about the usage and benefits of CCEL.
FPGA-based experimental board for error control codes
Authors: Hamad Ahmed Abdulkadhim , Al-Mumen Haider Saheb , Gatte Mohammed Taih
Published: May 2022

This paper proposed an experimental device that emulates and facilitates teaching the theoretical concepts of error-control coding (ECC) techniques. Two prototypes laboratory boards were designed and implemented. The first board simulates the transmitter side of a typical digital communication system. It mainly contains a data source, (7,4) Hamming encoder, cyclic redundancy check encoder (CRC), and Gaussian noise generator. The second board has two types of Hamming decoders, a syndrome decoder, and a maximum likelihood (ML) decoder that accepts the received soft signals at the channel output. Each board has several control switches so that the trainee can change the code variables, noise power, user ID, in addition to display tools such as light-emitting diodes (LEDs), and test points for the oscilloscope that help the user to observe the results. Moreover, results and setting variables can also be displayed on a PC’s screen connected through a USB port and organic light emitting diodes (OLED) display that is attached to the receiver board. The pipelining architecture of the field programmable gate array (FPGA) device was exploited in this proposed system to reduce the processing delay and hence increase the data throughput. Furthermore, we proved that both theoretical and experimental tests are identical.
Hybrid content and collaborative filtering based recommendation system for e-learning platforms
Authors: Tolety Venkata Bhanu Prasad , Prasad Evani Venkateswara
Published: May 2022

Recommendation systems, although a well-studied topic, experience several shortcomings when applied on e-learning platforms. While collaborative filtering methods have enjoyed great success in making recommendations on large scale e-commerce and social networking and observation, users of e-learning platforms have continually evolving preferences, which render collaborative filtering methods weak. On the other end of the spectrum are content-based filtering approaches. Although such methods are more suited for e-learning platforms, the primary concern is that these methods find it hard to generalize across content sources and content types. In this work, we present a hybrid recommendation system that combines the desirable characteristics of collaborative filtering, as well as from content-based filtering, for the task of recommending course content/curriculum to users of an e-learning system. Our recommendation easily incorporates changing user profiles (as learners step through course content) and also generalize across content sources (courses taught by various departments) and types. We apply our system on a real dataset comprising 111 students organized into interdisciplinary groups. Our results showcase the clear benefits that our hybrid recommendation system enjoys, showing more than 30 percentage points of improvement over conventional filtering techniques.
Design and realization of low-cost solenoid valve remotely controlled, application in irrigation network
Authors: Benbatouche Abdelhamid , Kadri Boufeldja
Published: May 2022

The remote and automated irrigation system of farmlands can avoid and minimize the waste of water and energy resources. This can be done with the remote-control of the solenoid-valves. A new solenoid-valve was designed and built from a simple valve with a motor and switches. The remote and automated irrigation system can monitor and receive requests via short message service (SMS) or web interface for controlling pump or solenoid-valves connected to the system. After each operation performed by the system, users receive notifications via SMS messages that contain the real-time status of the solenoid-valves controlled or temperature and humidity value. This system was created using Raspberry-Pi as the system control center. It has been connected to several sensors, and raspicam is used to take photo or video capture in real-time after the users’ request, and the global system mobile (GSM) module is a communication interface used to receive requests for controlling the irrigation system or to send notifications to users. A website is also developed for consultation and control of all that it contains in the system remotely. The result of this research aims to build a secure remote and automated irrigation system including low-cost solenoid-valve with Raspberry-Pi based on control and notification via SMS and web-page.
Socioeconomic Strain, Bullying Perpetration, and Negative Emotions: A Re-specification of GST
Authors: Strohacker Emily , Watts Stephen J. , Wright Lauren E.
Published: May 2022

Traditional bullying and cyberbullying are common problems faced by today’s youth. Research seeking to explain bullying perpetration has often invoked Agnew’s general strain theory (GST). However, research to date has often explored within a given study only a single emotion at a time that can result from strain. Further, prior research has tended to take the causal ordering arguments of GST at face value. The current study seeks to focus on the correlation of strains related to socioeconomics with traditional and cyberbullying perpetration and negative emotions. Utilizing the Add Health data and path modeling in Mplus, results suggest that socioeconomic strain positively correlates with bullying perpetration and recent negative emotions. However, results suggest a potential causal chain that is the opposite of an expectation of GST, with bullying perpetration potentially affecting negative emotions, and not the other way around. Implications of the results for theory and policy are discussed.
Spectacularising narratives on femicide in South Africa: A decolonial feminist analysis
Authors: Boonzaier Floretta A
Published: May 2022

How are we to think about femicide in South Africa – a country with one of the highest rates of gendered violence, globally? The rate of women murdered in South Africa is around five times the global average and at least half of women who are murdered die at the hands of an intimate partner. Every so often, a South African woman’s murder is propelled into national (and sometimes international) media discourse. How these crimes are reported are important for shaping public consciousness about crimes against women, gendered violence and the sexist, misogynistic and patriarchal contexts that produce it. This paper reports on an analysis of instances of femicide that have been reported in South African national media over the past five years. It offers a decolonial feminist reading of the reporting, showing how it is characterised by an overarching narrative that spectacularizes the violence, drawing on long-standing, racialised, colonial tropes about black bodies and identities. The implications of this discourse on femicide are considered for how it contributes to the shaping of collective consciousness and public discourse around how to understand femicide, specifically its victims and its perpetrators.
The Roman Arena Overturned: Revelation 14:9–11 as God’s Wrath in History
Authors: Newall Marcello
Published: May 2022

Revelation 14:9–11 has traditionally been used as one of the most important proof-texts for the doctrine of eternal conscious torment. In this article, I argue that when analysed within the context of the whole of chapter 14, and the overall narrative flow of the following chapters (15, 16), and entire book, these verses can instead be interpreted as a figurative description of the Winepress Judgment, and more importantly of the Seven Bowl Judgments, and were likely also partially anticipated in earlier chapters (2:22; 3:10; 6:16–17; 7:2–4; 9:3–10). In this sense, I maintain that these verses should actually be seen as occurring in history rather than in eternity. This is true from the moment that the Book of Revelation utilises recapitulation and is a mosaic and picture-story of apocalyptic images and symbols which steadily move towards God’s ultimate triumph over evil. Finally, I argue that these devastating judgments represent an apocalyptic reversal of the Roman arena where Christians were being mocked, tortured, and killed: in a dramatic vision at the end of the age, Christ, the faithful Witness, has returned as Judge and Lord, and together with his angels has replaced the emperor and his subordinates in the much greater stands of the cosmic arena of world history.
Interpreting the Double Conclusion of the Gospel of John from the Perspective of Ancient Greco-Roman Literature
Authors: Song Seung-In
Published: May 2022

This study examines how the double conclusion of the Gospel of John can be viewed from the perspective of ancient Greco-Roman literature. I have found four Greco-Roman works that include double conclusions (Josephus’ Antiquities, Cornelius Nepos’ Atticus, Isocrates’ Panathenaicus, and Isocrates’ Nicocles). I have also found that the double conclusion of these four was written by the same author. These four works indicate that the double conclusion was not a rare phenomenon in ancient Greco-Roman literature at the time when the Gospel of John was written. That the double conclusion was written by the same author in these four works also enhances the possibility that the double conclusion of John’s Gospel was also written by the same author. Based on the observations thus far, I propose that the double conclusion of John’s Gospel was written by the same person and that John 21 including the second conclusion (21:24-25) was written after a considerable amount of time after John 1-20 including the first conclusion (20:30-31) was written.
Effects of Augmented Reality-, Virtual Reality-, and Mixed Reality–Based Training on Objective Performance Measures and Subjective Evaluations in Manual Assembly Tasks: A Scoping Review
Authors: Daling Lea M. , Schlittmeier Sabine J.
Published: May 2022

Objective

The present scoping review aims to transform the diverse field of research on the effects of mixed reality-based training on performance in manual assembly tasks into comprehensive statements about industrial needs for and effects of mixed reality-based training.

Background

Technologies such as augmented and virtual reality, referred to as mixed reality, are seen as promising media for training manual assembly tasks. Nevertheless, current literature shows partly contradictory results, which is due to the diversity of the hardware used, manual assembly tasks as well as methodological approaches to investigate the effects of mixed reality-based training.

Method

Following the methodological approach of a scoping review, we selected 24 articles according to predefined criteria and analyzed them concerning five key aspects: (1) the needs in the industry for mixed reality-based training, (2) the actual use and classification of mixed reality technologies, (3) defined measures for evaluating the outcomes of mixed reality-based training, (4) findings on objectively measured performance and subjective evaluations, as well as (5) identified research gaps.

Results

Regarding the improvement of performance and effectiveness through mixed reality-based training, promising results were found particularly for augmented reality-based training, while virtual reality-based training is mostly—but not consistently—as good as traditional training.

Application

Mixed reality-based training is still not consistently better, but mostly at least as good as traditional training. However, depending on the use case and technology used, the training outcomes in terms of assembly performance and subjective evaluations show promising results of mixed reality-based training.
Which Students With Disabilities are Placed Primarily Outside of U.S. Elementary School General Education Classrooms?
Authors: Morgan Paul L. , Woods Adrienne D. , Wang Yangyang , Farkas George , Hillemeier Marianne M. , Mitchell Cynthia
Published: May 2022

Students with disabilities (SWD) who are Black or Hispanic have been reported to be more likely to be placed primarily outside of general education classrooms while attending U.S. schools. Federal law and regulation require monitoring of special education placement based on race or ethnicity. Yet, whether and to what extent racial or ethnic disparities in placement are explained by bias or by other explanatory factors is currently unclear. We evaluated for racial and ethnic bias in special education placement by analyzing longitudinal data from two independent samples of SWD ( N values range 590–1,130) attending U.S. elementary schools. We statistically controlled for plausibly exogenous sociodemographic, academic, and behavioral risk factors measured in kindergarten in analyses of the students as they attended first, third, and fifth grades between the 1999–2000 and 2015–2016 school years. Of the resulting 12 Black or Hispanic grade-year–specific tests, 11 (i.e., 92%) indicated that controls for kindergarten explanatory factors—particularly significant academic difficulties—fully explained the risk initially attributable to race or ethnicity. We observed little evidence that bias explains racial or ethnic disparities in special education placement in U.S. elementary schools.
‘Sleepy Joe’ and ‘Donald, King of Whoppers’: Reality Monitoring and Verbal Deception in the 2020 U.S. Presidential Election Debates
Authors: Bond Gary D. , Speller Lassiter F. , Cockrell Lauren L. , Webb Katelynn G. , Sievers Jaci L.
Published: May 2022

The 2020 U.S. Presidential election was a campaign that could be characterized as ‘one of the nastiest presidential campaigns in recent memory,’ partly because the general election debates were highly contentious and featured frequent interruptions and several insults and invectives between candidates. This research compared the language used in the debates to fact-checked truths and lies using a Reality Monitoring (RM) deception detection algorithm in Linguistic Inquiry and Word Count (LIWC) to investigate the veracity of real-life high-stakes verbal messages in the political context. We found that overall RM scores were lower and not significantly different between debate language and fact-checked lies, and RM scores were significantly higher in fact-checked truth statements, indicating that most debate language uttered was deceptive. This result supports the finding that the RM algorithm in LIWC distinguishes truth from lies and debate language in the context of politics. The 60.7% classification rate in this study may reflect a problem with the relatively short word counts of fact-checked lie and truth statements, but most probably reflects individual candidates’ deviations in RM features used in their statements. Each individual has a style that they use in communication—‘the way people talk and write have been recognized as stamps of individual identity.’ Even with a corpus of many statements from the same individual candidates, they probably regularly amplify certain features of RM and diminish other features of RM in their truthful and deceptive messages. This is a fruitful area of research that could be explored in future studies.
Research of textile logarithmic-aperiodic antennas with a matching circuit for textronics applications
Authors: Frydrysiak Michal Pawel
Published: May 2022

The antenna is the basic element of radio communication systems. Its proper design allows for a sufficiently wide transmission range and quality of data transmission. Most known communication systems operate in a certain frequency range and dipole antennas only work at one frequency of resonance, therefore log-aperiodic antennas are built for covering a wide bandwidth. In a typical configuration, such antennas are made of metal rods; however, in textronics garment applications a flat structure integrated with the textiles is necessary. This article presents the construction and research of a flat antenna entirely made with textile materials and with the use of technologies. Embroidery technology was proposed for the prototyping of antennas for all three communication technologies. Polyester multifilament yarns with a silver top layer were used in the research. A textile impedance matching circuit for the antenna was also built with the use of textile technology. The antennas were designed for the Global System for Mobile Communications, Global Positioning System and WiFi systems, because such wireless technologies have been used in the prototype system for transmitting measurement data of human physiological signals in textronics clothing. Wearable antennas are a part of a device that ensures continuous health monitoring of an elderly person or a patient without hindering his day-to-day activities. The construction of this system was the subject of a project financed by the National Centre for Research and Development in Poland.

The design stage was presented along with the method of connecting the antenna with the transmitter. The repeatability of the antenna parameters was also analyzed and a textile impedance matching circuit was presented. In this article, the author focused on checking the quality and repeatability of electrical and geometric parameters of textile antennas for various types of transmission, including connections in constant environmental conditions.
Metastasis of Sublingual Gland Adenoid Cystic Carcinoma to the Upper Gingiva
Authors: Lee Dong Hoon , Kim Jo Heon , Lim Sang Chul
Published: May 2022

Adenoid cystic carcinoma (ACC) of the sublingual gland is rare. There are no previous reports of the metastasis of sublingual gland ACC to the upper gingiva. Herein, we report the first case of a patient with metastasis of sublingual gland ACC to the upper gingiva. It should be recognized that although metastasis of sublingual gland ACC to the upper gingiva is very rare, it can occur.
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts
Authors: Man Kaiwen , Harring Jeffrey R. , Zhan Peida
Published: May 2022

Recently, joint models of item response data and response times have been proposed to better assess and understand test takers’ learning processes. This article demonstrates how biometric information such as gaze fixation counts obtained from an eye-tracking machine can be integrated into the measurement model. The proposed joint modeling framework accommodates the relations among a test taker’s latent ability, working speed and test engagement level via a person-side variance-covariance structure, while simultaneously permitting the modeling of item difficulty, time-intensity, and the engagement intensity through an item-side variance-covariance structure. A Bayesian estimation scheme is used to fit the proposed model to data. Posterior predictive model checking based on three discrepancy measures corresponding to various model components are introduced to assess model-data fit. Findings from a Monte Carlo simulation and results from analyzing experimental data demonstrate the utility of the model.
An unusual case of hyperthyroidism with recurrent vomiting and hypercalcemia as the main manifestations
Authors: Wei Xiao-Dan , Tan Jie-Ping , Chen Xiao-Ming
Published: May 2022

Complicated vomiting and hypercalcemia are clinically rare in patients with hyperthyroidism. We describe a case of a woman whose main symptoms were palpitations, sweating, and vomiting. She was diagnosed with Graves’ disease by an analysis of thyroid function, thyroid-related antibodies, and color Doppler ultrasound. Biochemical tests showed that her serum calcium levels were greatly elevated. Her symptoms were relieved following the administration of antithyroid drugs, propranolol for heart rate control, fluid replacement, diuresis and calcium reduction, antiemesis, and liver protection. This case suggests that the thyroid function should be screened when hypercalcemia is seen in the clinic.
Anisocoria and mydriasis after scalp nerve block: a case report
Authors: Xiao Cheng , Chen Fang , Tan Yuting , Bao Xiaohang , Jing Sheng
Published: May 2022

Strategies for the assessment of abnormal neurological findings during general anesthesia are limited. However, pupil abnormalities may represent serious neurological complications. We herein present a case of new-onset anisocoria and mydriasis that developed after scalp nerve block. The patient’s signs were possibly related to increased intracranial pressure with resulting brain shift that ultimately affected the oculomotor nerves. A 45-year-old man was scheduled for left cerebellar tumor resection and ventricular drainage surgery; however, anisocoria and left pupillary mydriasis were observed after induction of general anesthesia and performance of scalp nerve block. After reducing the intracranial pressure, the right pupil showed constriction (1 mm) but the left pupil was dilated (5 mm). The pupils were of similar size postoperatively. Although pupillary dilation during general anesthesia has been previously described, this is the first case in which the mydriasis was considered to have been caused by brain shift due to increased intracranial pressure after scalp nerve block. Thus, we propose this phenomenon as a new possible cause of pupillary changes. Actively monitoring this presentation intraoperatively could enable early detection of and intervention for complications, therefore improving the prognosis.
“Division at Home, Unity Abroad? The Impact of Local and International Dynamics on Political Opportunity Structure in the Territorio Indígena y Parque Nacional Isiboro Secure Highway Conflict”
Authors: Buice Melissa
Published: May 2022

This article observes developments in the construction of a controversial highway project through the protected TIPNIS territory in Bolivia’s Amazonian region between 2003 and 2021. The case study uses theories of political opportunity structure to guide the qualitative investigation about how indigenous groups confronted uncertain domestic and international institutional conditions. To confront divisive obstacles at home, activists ultimately developed strategies for operating within the formal rules and institutions while also creating their own “alternate” or informal sites of contestation at the international and domestic levels. This article ends with a discussion of the significance and power of these alternative institutions to influence policy.
Child Restraint Use and Seating Position of Child Passengers in Motor Vehicles and Their Correlations: Application of a Random-Effects Bivariate Probit Model
Authors: Chakraborty Meghna , Mahmud Md Shakir , Gates Timothy J.
Published: May 2022

Motor vehicle crashes are a leading cause of death and injury for children aged under 8 years. In the U.S.A., while some states are showing increases in the proportion of child restraint device use, only around half of child passengers aged from 4 to 7 years are being properly restrained. This study was undertaken to identify the factors contributing to the proper child restraint use and child passenger’s seating position through the direct observation surveys of more than 10,000 child passengers in 2015 and 2018 in Michigan. A bivariate probit model with random effects was developed to identify simultaneously the contributing factors for the proper restraint use and seating position of child passengers, accounting for the unobserved heterogeneity in the data. The bivariate framework is able to account for the correlation of the two dependent variables in the study. The results show that the two dependent variables are positively correlated, and this correlation is strongly significant. The key factors simultaneously influencing proper child restraint use and appropriate seating position of the child passenger include the age of the child, the number of child passengers in the vehicle, driver belt use, driver gender, age, and race, vehicle type, stratum, weather, and the time of the day and week. However, factors such as county-specific population, income, and education, and the type of location did not have any significant association with either child restraint use or the seating position of the child passenger.
An Experimental Study of the Effectiveness of a Trauma- Specific Intervention for Incarcerated Men
Authors: Messina Nena Portia
Published: May 2022

Prisons are saturated with trauma survivors; yet trauma has not been the focal point of corrections-based treatment. This is the first randomized controlled trial assessing the effectiveness of a Peer-facilitated trauma-specific intervention among men incarcerated for violent offenses (Exploring Trauma: A 6-Session Brief Intervention for Men). The sample consisted of 221 participants (131 treatment / 90 waitlisted control group). Independent t tests determined change over 6-8 weeks on anxiety, depression, mental health, current traumatic distress, and anger. Hypotheses were predominantly supported. Significant improvement was found for the intervention group compared with the waitlisted control group on 11 of the 13 trauma-related outcomes. The greatest effect sizes ranged from .46 for mental health functioning, .42 for trait anger composite, and .40 for anxiety. Support for the effectiveness of this brief intervention and capability of a Peer-facilitated model of delivery was demonstrated. Future research should replicate the methodology and incorporate records data and post-release outcomes.
Decolonizing Organizational Communication
Authors: Pal Mahuya , Kim Heewon , Harris Kate L. , Long Ziyu , Linabary Jasmine , Wilhoit Larson Elizabeth , Jensen Peter R. , Gist-Mackey Angela N. , McDonald Jamie , Nieto-Fernandez Beatriz , Jiang Jing , Misra Smita , Dempsey Sarah E.
Published: May 2022

The ideas of this forum germinated at the Organizational Communication Division’s pre-conference at the 106th annual convention of the National Communication Association (NCA) in 2020. A group of scholar-teachers, committed to addressing various critical social issues, came together to challenge dominant ideas, paradigms, and structures within and beyond organizational communication. We engaged with decolonization and social justice as an ongoing project that cultivates scholarship, pedagogy, and public engagement. Our discussions left us with a sense of urgency and inspiration to work substantively toward thinking differently about organizational communication. Our goal in this forum is to present the collective as a sharp provocation to decenter the spaces of theorizing and pedagogical practices in organizational communication and beyond.
On the stochastic natural frequency of graphene reinforced functionally graded porous panels with unconventional boundary conditions
Authors: Shakir Mohammed , Talha Mohammad
Published: May 2022

The present study explores the stochastic natural frequency of graphene reinforced functionally graded porous panels with unconventional boundary conditions. The material uncertainty is considered in the parameters associated with constituents that is, metal and graphene nanoplatelets (GPLs) individually and simultaneously. The metal matrix is reinforced with ultra-lightweight and high stiffness carbonaceous nanofiller, that is, GPLs. Halpin-Tsai micromechanics model is adopted to estimate effective Young’s modulus of the metal-GPLs composite whereas effective mass density and Poisson’s ratio are calculated using the Voigt model. The micro-structural gradation by creating pores is accomplished along the thickness direction of the panel employing certain continuous functions. These functions describe symmetric and asymmetric porosity distributions and associated patterns of GPLs. The equation of motion is developed using Euler-Lagrange’s equation which is based on C 0-continuous structural kinematics with 7 degrees of freedom. Finite element modeling in conjunction with the first-order perturbation technique has been applied to quantify the stochastic natural frequency in terms of the mean and standard deviation of the natural frequency. Various results have been examined to highlight the influence of parameters especially related to porosity, and graphene nanoplatelets on the stochastic natural frequency of FG-GPLs porous panel constrained with conventional and unconventional boundary conditions.
Entropy production analysis for energy dissipation of a vertical mixed-flow pump device under asymmetric inflow conditions
Authors: Zheng Yunhao , Gu Zichuan , Li Yanjun , Zhu Xingye , Meng Fan , Wang Mengcheng
Published: May 2022

To investigate the influence of the inflow angle on the hydraulic loss and internal flow fields of a vertical mixed-flow pump device, unsteady numerical simulations were performed under different inflow angles ( θ = 0°, 10°, 20°, and 30°). The calculation results were validated using an external characteristic test at an inflow angle of 0°. The entropy production theory was applied to analyse the energy loss and dissipation rate distribution in a vertical mixed-flow pump device under different inflow angles. Influenced by asymmetric inflow, the design point of the external characteristics deviated towards the overload flow rate, and the maximum deviations were obtained under 1.2  Q des, whereas the influence of the inflow angle on the internal flow fields was the most significant under the part-load flow rate. When the inflow angle increased from 0° to 30°, the total entropy production in the pump device increased by 18.35% under 0.6  Q des, and indirect dissipation accounted for the largest proportion. The internal flow patterns in the impeller and guide vane were also distorted by asymmetric inflow. The indirect dissipation rate on the suction side of the impeller blade, interface between the impeller and diffuser, and pressure side of the guide vane increased significantly with an increase in the inflow angle. To restrain the influence of asymmetric inflow, it is of great significance to optimise the hydraulic design structure of the inflow runner. In this study, a middle spacer pier was used to improve the operational efficiency of the pump device.
Fixed time output feedback control for quadrotor unmanned aerial vehicle under disturbances
Authors: Shao Shikai , Wang Shu , Zhao Yuanjie
Published: May 2022

This paper designs a fixed time output feedback trajectory tracking control scheme for quadrotor Unmanned Aerial Vehicle with unmeasurable velocity and external disturbances. Firstly, a fixed time extend state observer (ESO) is devised to accurately observe the unknown velocity and estimate unknown total disturbances within a fixed time. Especially, the convergence time of system is independent of system initial states. Secondly, considering control accuracy and convergence rate, robust fixed time controllers are respectively designed for position and attitude system. Thirdly, the tracking errors of controller is capable of converging to zero according to homogeneous theory and Lyapunov theory, and superior results can be achieved under the proposed control scheme. Finally, simulations and comparison studies are verified to demonstrate the effectiveness of the designed fixed time output feedback control scheme.
Obstetrics and gynaecology and the law
Authors: Samuels Alec
Published: May 2022

Litigation over medical mishaps – NHS Resolution – extent of damages and costs – the relationship between doctor and midwife – celebrated or notorious cases, Mid Staffs, Morecambe Bay, Northwick Park – informing patient of risks – meaning of wrongful birth – contemporary tests for negligence.