bluuebunny/crossref_metadata_2025 huggingface dataset:
Involving machine learning techniques in heart disease diagnosis: a performance analysis
Authors: Salman Shukur Ban , Mohsin Mijwil Maad
Published: December 2022

Artificial intelligence is a science that is growing at a tremendous speed every day and has become an essential part of many domains, including the medical domain. Therefore, countless artificial intelligence applications can be seen in the medical domain at various levels, which are employed to enhance early diagnosis and prediction and reduce the risks associated with many diseases, including heart diseases. In this article, machine learning techniques (logistic regression, random forest, artificial neural network, support vector machines, and k-nearest neighbors) are utilized to diagnose heart disease from the Cleveland Clinic dataset got from the University of California Irvine machine learning (UCL) repository and Kaggle platform then create a comparison between the performance of these techniques. In addition, some literature related to machine learning and deep learning techniques that aim to provide reasonable solutions in monitoring, detecting, diagnosing, and predicting heart disease and how these technologies assist in making health decisions are reviewed. Ten studies are selected and summarized by the authors published between 2017 and 2022 are illustrated. After executing a series of tests, it is seen that the most profitable performance in diagnosing heart disease is the support vector machines, with a diagnostic accuracy of 96%. This article has concluded that these techniques play a significant and influential role in assisting physicians and health care workers in analyzing heart patients' data, making health decisions, and saving patients' lives.
A new approach of scalable traffic capture model with Pi cluster
Authors: Hartomo Kristoko Dwi , Daru April Firman , Purnomo Hindriyanto Dwi
Published: December 2022

The development of the internet of things (IoT), which functions as servers, device monitors, and controllers of several peripherals inside the smart home, eased workload in many sectors. Most devices are accessible through the internet because they communicate with wired or wireless interfaces. However, this feature makes them prone to the risk of being exposed to the public. The exposed devices are an easy target for the third party to launch a flooding attack through the network. This attack overloads the system due to the low processing capability, thereby interrupting any running process and harming the device. Therefore, this study proposed a scalable network capturing model that utilized multiple Raspberry Pi boards in parallel to monitor the network traffics simultaneously. An isolated experiment was used for evaluation by running simultaneous flooding attacks on each device. The result showed that the model consumed 30.44% more memory with 14.66% lower central processing unit (CPU) usage and 3.63% faster execution time. This means that this model is better in terms of performance and effectiveness than the single capture model.
Cloud server design for heavy workload gaming computing with Google cloud platform
Authors: Wicaksono Airlangga Baihaqi , Munadi Rendy , Sussi Sussi
Published: December 2022

Cloud servers are generally used for data storage and remote office activities, but it can be applied for gaming purposes, where cloud servers can be paired with virtual machines and gaming platform that can be accessed by users via an internet connection. This makes the device used by user no longer needs to process resources because the workload is carried out by virtual machines on cloud server. The author designs a cloud gaming system using Google cloud platform as a cloud server and parsec as an optimizer that is attached to a virtual machine for game computing purposes. Author takes measurements of the cloud gaming system using 2 test games varying from low to middle specifications. Resource testing on central processing unit (CPU) and random-access memory (RAM) usage on the user side is below 40% when running game 1 and below 44% when running game 2, while on the system it reaches a capacity above 40% for CPU and RAM and 99% maximum on graphics processing unit (GPU). Quality of service testing of the system is carried out at bandwidths of 5, 10, and 30 Mbps with a minimum bandwidth of 10 Mbps. In general, there are a little difference that occurred between test game and different bandwidths.
Smart optimization in 802.11p media access control protocol for vehicular ad hoc network
Authors: Mohamed Hatim Shahirah , Haron Haryani , Jamel Elias Shamsul , Kamal Bashah Nor Shahniza
Published: December 2022

The innovative idea presented in this research is that advancements in automotive networks and embedded devices can be used to assess the impact of congestion control on throughput and packet delivery ratio (PDR), or so-called multimedia content delivery. Vehicle networking and the distribution of multimedia content have become essential factors in getting packets to their intended recipients due to the availability of bandwidth. Vehicle-to-infrastructure (V2I) communication systems are crucial in vehicular ad hoc networks (VANETs), which permit vehicles to connect by distributing and delivering traffic data and transmission packet schemes. High levels of mobility and changing network topology necessitate dispersed monitoring and execution for congestion control. The amount of traffic congestion for packet transfers could be reduced by enhancing congestion management in terms of throughput and PDR percentages. In a highway setting, the Taguchi approach has been used to optimize the parameters for congestion control. Based on throughput and PDR performance measures, this technique minimizes superfluous traffic information and lowers the likelihood of network congestion. The simulation results have shown that the proposed approach performs better since it increases network performance while effectively utilizing bandwidth. The effectiveness of the suggested technique is evaluated using a typical VANETs scenario for V2I communication while driving on a highway.
Landslide early warning systems: a perspective from the internet of things
Authors: Henao-Céspedes Vladimir , Garcés-Gómez Yeison Alberto , Marín Olaya María Nancy
Published: December 2022

Populations located in the vicinity of slopes and soils derived from volcanic ash are constantly at risk due to the possibility of landslides. Such is the case of the city of Manizales, Colombia, which, due to its geomorphological characteristics, has experienced a significant number of landslides that have caused human and economic losses. The Internet of things (IoT) has allowed important technological advances for monitoring, thanks to the low cost and wide coverage of IoT-based systems. Slope monitoring and the development of landslide early warning systems (EWS) have been positively impacted by IoT developments, which shows a relationship. The objective of this article is to review, from the scientific production, the relationship between IoT and EWS. For this purpose, a fragmenting-deriving-combining methodology is applied to focus on a research trends analysis of the subject, from macro-areas such as IoT and EWS to micro areas such as EWS by IoT-based landslides. Finally, the analysis concluded that the conceptual models of IoT and EWS for landslides have some correspondence in some of their layers.
Crane monitoring system based on internet of things using long range
Authors: Wen Jun Ng , Hashim Norlezah , Idris Fakrulradzi , Syafiza Ida , Noordin Nurbahirah
Published: December 2022

The four main causes of crane accidents are overturned, falls, mechanical failure, and contact with power lines. It is important to keep track of the crane’s health and condition as it is always too late when a failure of the crane was found. Any abrupt accidents will interrupt or delay the work progress and cause the operational costs to increase. Crane monitoring system is developed using long range (LoRa) technology due to its long range of detections making it suitable for monitoring machines that require large space including the dock area. It also consumes low power and is suitable for battery-operated systems. This paper discusses the design and development crane monitoring system using Arduino Uno together with NodeMCU ESP8266 as the hardware for this project. Temperature, power consumption, lifting activities, and total operating hours will be measured using appropriate sensors. The data will then be sent to the database where users can monitor each crane from a developed Android application using a mobile phone. This project allows users to view, monitor, and analyze real-time or past data in a graph or table view. Experimental results prove the proposed system is applicable and effective.
Variance of total dissolved solids and electrical conductivity for water quality in Sabak Bernam
Authors: Suhaimi Sulaiman Mohd , Abd Rahman Mohamad Faizal , Mohd Adam Aileen Farida
Published: December 2022

Water pollution is one of the most serious environmental problems in Malaysia. The most notable occurrence of pollution happened in Selangor. Currently, there are various water quality monitoring (WQM) methods to observe the quality of water. One of the methods used is the internet of things (IoT) for wireless sensor network technology to obtain real-time data measurement. In this study, the developed WQM system is equipped with a sensor that can measure total dissolved solid (TDS) and electrical conductivity (EC). Arduino UNO was used in this system as a microcontroller to interact with the sensor. The Wi-Fi module, ESP8266, was used to transfer the collected data to ThingSpeak, which acts as a cloud to store all the data. The results showed that both sample populations can be discriminated since the p-value is greater than 0.05 in the normality test, while in the paired sample t-test, the p-value is less than 0.05. In conclusion, this research provides an easier way to monitor water quality by taking up less time at less cost, as well as being reliable in giving real-time data reading.
A secure sharing control framework supporting elastic mobile cloud computing
Authors: Hamed Hamad Aws , Yousif Dawod Adnan , Fakhrulddin Abdulqader Mohammed , Al_Barazanchi Israa , Muwafaq Gheni Hassan
Published: December 2022

In elastic mobile cloud computing (EMCC), mobile devices migrate some computing tasks to the cloud for execution according to current needs and seamlessly and transparently use cloud resources to enhance their functions. First, based on the summary of existing EMCC schemes, a generic EMCC framework is abstracted; it is pointed out that the migration of sensitive modules in the EMCC program can bring security risks such as privacy leakage and information flow hijacking to EMCC; then, a generic framework of elastic mobile cloud computing that incorporates risk management is designed, which regards security risks as a cost of EMCC and ensures that the use of EMCC is. Finally, it is pointed out that the difficulty of risk management lies in risk quantification and sensitive module labeling. In this regard, risk quantification algorithms are designed, an automatic annotation tool for sensitive modules of Android programs is implemented, and the accuracy of the automatic annotation is demonstrated through experiments.
Active vibration control of flexible beam system based on cuckoo search algorithm
Authors: Syafiqah Shaari Aida Nur , Sukri Hadi Muhamad , Abdul Wahab Abdul Malek , Pek Eek Rickey Ting , Mat Darus Intan Zaurah
Published: December 2022

A flexible beam is recognized as a lightweight structure that is prone to excessive vibration, resulting in poor performance. Thus, controlling unwanted vibration is necessary to maintain the system’s performance. Therefore, this study presents a technique to suppress undesired vibration in a flexible beam structure by introducing active vibration control (AVC). However, to develop an effective controller, an appropriate flexible beam model must first be obtained. In recent times, one of the best methods employed to model a flexible beam structure is system identification via a swarm intelligence algorithm. In this study, an intelligent algorithm acknowledged as cuckoo search (CS) was acquainted. The capability of the proposed algorithm was verified using three robustness techniques which were correlation test, pole-zero diagrams and mean square error (MSE). The simulation result showed that the CS algorithm achieved superior performance by achieving the lowest MSE of 6.1547x10-9, a correlation test between a 95% confidence level and high stability. Next, a proportional-integral-derivative (PID) controller tuned by the Ziegler-Nichols method was developed using the transfer function accomplished from the CS model. Two types of interference, namely single and multiple sine waves were introduced to validate the effectiveness of the controller. The controller successfully achieved a 30.2 dB of attenuation level for both disturbances.
A new hybrid method for mutual coupling minimization of an antenna array
Authors: Said Sara , Grari Meryem , Guetbach Yassmina , Es-Salhi Abdenacer , Cif Allah Zoheir , Elhadi Baghaz , Faize Ahmed
Published: December 2022

In this paper, a simultaneous application of geometric modification on patch elements and electromagnetic band gap (EBG) electromagnetic bandgap structures (hybrid method) has been suggested for 3.5 GHz wireless communication applications, to minimize the mutual coupling between radiating elements of microstrip array antennas. The suggested EBG slotted structure is composed of a one square ring and three squares placed on Rogers RO3010 having 10.2 and h=1.27 mm which presents respectively its dielectric constant and thickness. In this approach, the patch elements are geometrically modified, while also employing EBG structures, formed by four EBG cells, placed between the array elements at a near distance. The modification of the geometry of the antenna and the introduction of EBG reduces the mutual coupling of an array antenna with approximately 33 dB on the one hand and improves the antenna gain by approximately 0.43 dB on the other hand. Initially, slots are introduced in the patch geometry and then four EBG unit cells are inserted between two patches, operating at 3.5 GHz. The antenna array design parameters were optimized.
Ship routing optimization using bacterial foraging optimization algorithm for safety and efficient navigation
Authors: Van Hung Phan , Quang Viet Dang , Minh Duc Nguyen , Dat Le Thanh
Published: December 2022

Efficient operation plays a vital role to develop a sustainable shipping fleet with cost competitive. The requirements for economic efficiency, energy efficiency, reducing emissions, and increasing safety and security lead to an innovative model in the optimal weather routing system. The vessel routing is influenced by the quality of meteorological and oceanographic data such as wind, waves, and currents. In this study, the model optimization of weather routing considers the meteorological and oceanographic information, ship's characteristics combined with an adaptive bacterial foraging optimization algorithm (BFOA) will be introduced and applied to the ship’ navigation at sea. The simulation results will be evaluated the effectiveness and reliability of the model. This model will support ships’ navigation to be safer and more comfortable, operate more efficiently and reduce emissions.
Reliability performance of distribution network by various probability distribution functions
Authors: Mohd Fauzi Noorfatin Farhanie , Rusyda Roslan Nur Nabihah , Muhammad Ridzuan Mohd Ikhwan
Published: December 2022

Electricity is one of the essential sources for the daily basis activities. The continuous electricity supplied to the customers is one of the main goals for electricity provider. Reliability is one of the main aspects that is focused more on the planning of the power system especially in distribution network. The performance of reliability in the system is evaluated with three main reliability indices: system average interruption frequency index, system average interruption duration index, and customer average interruption duration index. These indices will only give information about the overall condition of the power system without showing the details about the specific of the consumers such as the amount interruptions experienced by customer in the system. In this paper, probability distribution function (PDF) observing the behavior of the components in the system is used in the reliability analysis. Weibull distribution, also known as Weibull family, is one of the most common PDF used in reliability analysis. As Weibull distribution is also related to several distributions, such as exponential and Rayleigh, these types of distributions are applied in the output reliability analysis to observe the performance of reliability in the system. IEEE 9-bus is used as distribution network and carried out using Monte-Carlo simulation.
Human body blockage effect on wireless network performance for outdoor coverage
Authors: Shakir Muttair Karrar , Farhan Mosleh Mahmood
Published: December 2022

The rapid development in the field of communications and growing numbers of the population every year stimulate telecommunications companies to develop communications systems to accommodate all users. In this paper, we will study the blockage effect of the student body on the propagation of the signals in the external wireless network. We took various numbers of the student density on the campus to know the extent it affects especially in crowded environments. The student body structure and buildings are designed in the college according to the real dimensions by Wireless InSite software. We compared scenarios for the different numbers of student density, we noticed that whenever an increase in the student density in the college will lead to increased path loss and delay spread time. In addition, note there is a gradual decrease in the received power (RP) if there is no student density highest RP is -28.2 dBm, when there are 300 students highest RP is -34.7 dBm, and when there are 600 students highest RP is -36.5 dBm. The reasons are that signals path spread inside the college will be passing through several collisions whether student body blockage or buildings that are built from different materials.
Supreme court dialogue classification using machine learning models
Authors: Joseph Tomin , Adiyillam Vijayalakshmi
Published: December 2022

Legal classification models help lawyers identify the relevant documents required for a study. In this study, the focus is on sentence level classification. To be more precise, the work undertaken focuses on a conversation in the supreme court between the justice and other correspondents. In the study, both the naïve Bayes classifier and logistic regression are used to classify conversations at the sentence level. The performance is measured with the help of the area under the curve score. The study found that the model that was trained on a specific case yielded better results than a model that was trained on a larger number of conversations. Case specificity is found to be more crucial in gaining better results from the classifier.
Peer-to-peer media streaming with HTML5
Authors: Kalil Al-Khayyat Ali Tariq , Mahmood Sanabil A.
Published: December 2022

The knowledge of web real-time communication (WebRTC) and how its customers and server operations are defined in this study. However, the world wide web consortium (W3C) and the internet engineering task force (IETF) have not yet approved an absolute signaling protocol or a complete application programming interface (API) protocol to implement WebRTC and control communication planning. WebRTC requires some type of signaling mechanism. With Chrome, Firefox, and Opera, the primary objective is to create and implement a WebRTC video call across two clients (peers) in the real world while employing local area network (LAN) and wide area network (WAN). This study also demonstrated the design of the server (as an intermediary) and graphical user interface (GUI). Additionally, a signaling method for the peer-to-peer browser connection on the Node.js platform has been developed and successfully put into use. This paper will provide an understanding of web development and an ability to understand WebRTC technology. It will also discuss how to create WebRTC signaling mechanisms and build video conferencing, as well as how to increase design quality using quality of experience (QoE) techniques.
Comparison of specific segmentation methods used for copy move detection
Authors: Abdulazeem Ahmed Eman , Alzaqebah Malek , Jawarneh Sana , Saad Alqurni Jehad , A. Alghamdi Fahad , Alfagham Hayat , Abdel Jawad Lubna Mahmoud , A. Badawi Usama , Alsmadi Mutasem K. , Almarashdeh Ibrahim
Published: December 2022

In this digital age, the widespread use of digital images and the availability of image editors have made the credibility of images controversial. To confirm the credibility of digital images many image forgery detection types are arises, copy-move forgery is consisting of transforming any image by duplicating a part of the image, to add or hide existing objects. Several methods have been proposed in the literature to detect copy-move forgery, these methods use the key point-based and block-based to find the duplicated areas. However, the key point-based and block-based have a drawback of the ability to handle the smooth region. In addition, image segmentation plays a vital role in changing the representation of the image in a meaningful form for analysis. Hence, we execute a comparison study for segmentation based on two clustering algorithms (i.e., k-means and super pixel segmentation with density-based spatial clustering of applications with noise (DBSCAN)), the paper compares methods in term of the accuracy of detecting the forgery regions of digital images. K-means shows better performance compared with DBSCAN and with other techniques in the literature.
Review of the degeerella species group of the genus Nemophora Hoffmannsegg, 1798 (Lepidoptera: Adelidae) from China
Authors: SUN HAO , WANG SHUXIA , LI HOUHUN
Published: December 2022

Twenty-five species of the degeerella species group in the genus Nemophora Hoffmannsegg, 1798 are reviewed from China. Fourteen species are described as new: N. spinatibaltea Sun, Wang et Li, sp. nov., N. parvaprocessa Sun, Wang et Li, sp. nov., N. bifurcifascia Sun, Wang et Li, sp. nov., N. biprocessa Sun, Wang et Li, sp. nov., N. ravidifera Sun, Wang et Li, sp. nov., N. triuga Sun, Wang et Li, sp. nov., N. seorsifascia Sun, Wang et Li, sp. nov., N. borealis Sun, Wang et Li, sp. nov., N. recurvatifera Sun, Wang et Li, sp. nov., N. digitivalva Sun, Wang et Li, sp. nov., N. apiciprocessa Sun, Wang et Li, sp. nov., N. purpuratifera Sun, Wang et Li, sp. nov., N. latirectangula Sun, Wang et Li, sp. nov. and N. gaoligongshana Sun, Wang et Li, sp. nov. Three species, N. chalybeella (Bremer, 1864), N. japonica Stringer, 1930 and N. karafutonis (Matsumura, 1932), are recorded for the first time in China. Images of adults and genitalia of all the species with available specimens in China are given, along with a key to these species. A list of all the species of the degeerella species group in the world is provided.
A new species of Hypostomus Lacepède, 1803 (Siluriformes: Loricariidae) from the Mearim River basin, northeastern Brazil
Authors: DE OLIVEIRA RAFAEL FERREIRA , GUIMARÃES ERICK CRISTOFORE , DE BRITO PÂMELLA SILVA , OTTONI FELIPE POLIVANOV
Published: December 2022

Hypostomus krikati sp. n. is described from the Mearim River basin, state of Maranhão, northeastern Brazil. This new species shares all the diagnostic features defining the Hypostomus plecostomus super-group. Three species of the H. plecostomus super-group are geographically close to the species described here (Hypostomus jaguribensis, H. pusarum and H. papariae). Hypostomus krikati sp. n. is easily distinguised from them by having conspicuous keels along the lateral series of plates. There are other species geographically close to H. krikati sp. n. that do not belong to the H. plecostomus super-group (H. johnii, H. velhomonge and H. velhochico). Hypostomus krikati sp. n. differs from these species by having a lower number of teeth, conspicuous keels along the lateral series of plates, abdominal region totally covered by plates, dark spots horizontally not aligned along lateral series of plates, and large-sized adults. The recently described species for the Maranhão hydrographic systems, as well as the new species here described reinforce the hypothesis that the Maranhão hydrographic systems may present a high level of endemism for freshwater fishes.
A new genus and two new species of Australian Fulviini (Insecta: Heteroptera: Miridae: Cylapinae)
Authors: NAMYATOVA ANNA A.
Published: December 2022

The genus Psallofulvius (Insecta: Heteroptera: Miridae: Cylapinae) and two of its species from Australia, Psallofulvius danbulla and Psallofuvlius dryander, are described as new two science. The diagnoses, descriptions, distribution maps, digital habitus images, SEM images and drawings of male and female genitalia are provided. Although the genus is placed to Fulviini, it also shares some characters with Psallops Usinger which is either placed in the separate subfamily Psallopinae or the tribe Psallopini within the Cylapinae. The key morphological characters and genera presumably related to Psallofulvius are discussed.
A new Hoplia Illiger, 1803 from Calabria, southern Italy (Coleoptera: Scarabaeidae: Melolonthinae: Hopliini)
Authors: PATACCHIOLA DANIEL , FABBRICIANI FABRIZIO , BOSCHIN PIER LUIGI , MANTI FRANCESCO , CASTIGLIONE ELVIRA , BONSIGNORE CARMELO PETER , GRIMALDI ENRICA GIULIANO , BISCACCIANTI ALESSANDRO BRUNO
Published: December 2022

Hoplia asprumuntiana Patacchiola, Fabbriciani, Boschin & Biscaccianti, new species from Aspromonte National Park (Calabria, southern Italy) is described and illustrated. The new species is compared with the two apparently most closely related species, namely H. maremmana Leo, Liberto, Rattu & Sechi, 2010 and H. meridiana Uliana, Liberto & Leo, 2017. The differences between H. asprumuntiana new species and the other Hoplia Illiger, 1803 occurring in the southern Apennine are also discussed, chiefly regarding H. paganettii Müller, 1907 described from Aspromonte. Some remarks on ecology and phenology of adults are also reported.
A new species of frog from the Caribbean island of Montserrat (Eleutherodactylidae, Eleutherodactylus)
Authors: HEDGES S. BLAIR
Published: December 2022

I describe a new species of frog, Eleutherodactylus montserratae sp. nov., from Montserrat, previously confused with E. johnstonei Barbour. It is native to that island and has been introduced, and established, on other Lesser Antillean islands west of 62 degrees west longitude including Anguilla, St. Martin/St. Maarten, St. Barthélemy, Saba, St. Eustatius, St. Christopher, and Nevis, as well as Bermuda. Previous chromosome and molecular studies have shown that populations from these islands are distinct from E. johnstonei, a species occurring east of 62 degrees west longitude in the Lesser Antilles, and elsewhere, but could not identify diagnostic morphological differences. Here, I show that the new species differs morphologically in being smaller (males and females) and having a proportionately larger tympanum, a wider head, and greater separation between the nostrils. Both species have been introduced within and outside of the Caribbean region and will likely expand their ranges in the future.
Generation of Therahertz Wave with Frequency 32-Tupling by Four Mach-Zehnder Modulators in Parallel
Authors: Chen Xin-Qiao , Li Zhi-Han , Ba Wen-Yao , Dai Si-Yuan
Published: December 2022

A new method for the generation of terahertz wave with frequency 32-tupling adopting four Mach-Zehnder modulators connected in parallel is presented. The four MZMs can be regarded as two double parallel Mach-Zehnder modulators (DPMZMs) connected in parallel. When the difference of the
initial phases of the radio frequency (RF) driving signals between two MZMs in the DPMZM is π/2, the signal from the DPMZM are the optical sidebands of ±4n order. When the difference of initial phase of the RF signals between the two DPMZMs is π/4, the output
signals from the two DPMZMs are the optical sidebands of ±8n order, in which the carrier is cancelled by an adjustable optical splitter, the optical sidebands of ±8th order are restrained and the optical sidebands of ±8n (n > 2) order are ignored
by setting the modulation index of MZM at a special value, the main optical sidebands left are ±16th order. When the ±16th order optical sidebands are injected the photodetector (PD), the 32-tupling frequency terahertz wave is generated. Principle analysis and simulation test
indicate that the optical sideband suppression ratio (OSSR) and the RF spurious suppression ratio (RFSSR) are 46.82 dB, 46.25 dB and 40.8 dB, 42.3 dB, respectively. In addition, the impacts on the OSSR and RFSSR are studied when the values of device parameters deviate from their design values.
Photoelectric Vibration Monitoring System Using Optical Fiber Sensing/Mathematical Modeling
Authors: Ma Peilan
Published: December 2022

The optical fiber vibration monitoring system is designed, and the optical fiber with strong anti-interference performance, high stability and corrosion resistance is used as the sensor. Mach-Zehnder with high sensitivity is used for interference counting, and embedded technology is
introduced. The extracted spectral characteristics of optical fiber signals are used for pattern recognition through a mathematical modeling method. In the hardware design, embedded technology is introduced. Multi-channel AD collects data, and the processed optical fiber data are communicated
with the master computer through the high-speed network port to realize the data transmission without breakpoints, and then reduce the development cost. Fast Fourier transform (FFT) is used as the research method of mathematical modeling in optical fiber signal processing and is improved.
The new algorithm can analyze the vibration signal from the frequency domain. In the test, one group of intrusion vibration signals and one group of ordinary vibration signals are taken as the test objects. The results show that the improved mathematical modeling method will not have the situation
of false intrusion alarm, nor will it have the situation of common false alarm. Using this algorithm in the vibration monitoring system of optical fiber sensors can accurately identify intrusion signals to distinguish the intrusion vibration situation from the ordinary vibration situation.
Spectrum Acquisition System Using Photoelectric Detection and Its Data Mining Simulation of Spectral Texture Features
Authors: Liu Yanyan , Lv Haiyang , Kong Debin , Zheng Meizhu , Yang Hongjun , Ding Lijuan , Sun Qiaoyan
Published: December 2022

Weak spectral signal detection technology is a new subject in the measurement engineering field. It obtains the characteristic information of the measured object based on the characteristics of light diffraction, interference, polarization and so on. Regarding light source entropy,
the artificial light source of mercury argon lamp with a spectrum of 250 nm~918 nm is selected as the first research object. The grating monochromator with built-in grating scale lines (1200 g/mm, 600 g/mm) is selected as the light splitting device. Due to the weak spectral signal, the output
signal is vulnerable to noise interference after a certain amount of photoelectric conversion. AD202 variable voltage coupling filtering technology is adopted. It means that in the signal isolation and amplification process, the AD202 variable voltage coupled filter amplifier chip is employed
to design the current/voltage conversion circuit and the same direction proportional operation amplifier circuit. Meanwhile, a second-order low-pass filter circuit is designed based on the characteristics of the OP07 operational amplifier. For the data mining of multispectral image texture
features, Contourlet transform is used, that is, the multispectral image texture features are fuzzy preprocessed to remove the adjacent range correlation knowledge. On this basis, the texture features of multispectral images are analyzed. In the experiment, Contourlet transform is adopted
to transform multispectral images from spatial domain to frequency domain, which has the advantages of short extraction time, low cost, and high mining accuracy. A spectrum acquisition system based on photoelectric detection is designed. With chlorophyll as the research object, the sample
solution to be tested has high photoelectric absorbance in the range of blue-violet light (400 nm~500 nm) and red-orange light (600 nm~700 nm).
Spin-Glass-Like Behavior in Mn3Ga0.3Sn0.7N Compound
Authors: Dai Yongjuan , Chen Jiajia , Wu Xiangxiang , Guo Dong , Sun Zhonghua
Published: December 2022

The magnetic transition, thermal property, and the distance of Mn–Mn of Mn3Ga0.3Sn0.7N compound with the Sn element substitution of Ga in Mn3GaN compounds were investigated. Magnetic measurements indicate that the existence of spin glass
system at high temperature (502 K) in Mn3Ga0.3Sn0.7N compound may be attributed to competing antiferromagnetic (AFM) and ferromagnetic (FM) interactions due to the doped Sn inducing ferromagnetic orders in Mn3GaN and the partially random Sn substitute
Ga at a corner site of the lattice. It is not clear how much role the pure Sn power, which is not doped into Ga site completely, played in inducing the magnetic characteristic. This finding will be helpful to reveal the mechanism of the antiperovskites’ intriguing physics properties
and to develop more smart materials.
Terahertz Absorption in Quantum Devices Based on MgxZn1−xO/ZnO Quantum Well Structures
Authors: Liu DongFeng , Chen GuoWei
Published: December 2022

The energy level structures of MgxZn1−xO/ZnO/MgxZn1−xO quantum wells (QWs) with various geometrical structures and material compositions are obtained. Terahertz (THz) intersubband absorption can be realized and tunable with x
in the range of 0.01~0.04 and well width in the range of 5~13 nm. Electron scattering such as piezoelectric acoustic phonon (PAP), polar optical phonon (POP), interface roughness (IFR), and random alloy (RAS) scattering are included in the calculations to analyze the linewidth broadening.
Increasing the Mg composition or decreasing the well width can obtain high-frequency THz intersubband absorption, in which case IFR is found to be the physical mechanism that makes the linewidth broaden. On the other hand, the influence difference of PAP scattering for the lower Mg composition,
which may be caused by the different electro-mechanical coupling coefficients (EMCC), is obviously larger than that for the higher Mg composition, meaning that the accurate value of EMCC is much more important for the THz intersubband absorption in MgxZn1−xO/ZnO/MgxZn1−xO
QWs with a smaller x. The findings are helpful in the design of THz detector devices.
Operating Temperature Analysis for Microbolometric Focal Plane Array
Authors: Chen Xi-Qu , Chen Fu-Ming , Fang Chao , Lv Qiang
Published: December 2022

The operating temperature is numerically calculated and theoretically processed for the microbolometer thermal sensor array with pulse voltage bias. According to the physically thermal model and equation of heat balance for a microbolometer under a list of biasing voltage pulses, the
operating temperature equation is theoretically derived for numerical calculations. Above these exact numerical calculations, the operating temperature expressed in theory is proposed for the thermal sensor in stable thermal cycles with pulse voltage bias. The theoretical expression is useful
to predict the accurate infrared sensitivity of the microbolometric sensor in normal operating state, which has been proved to be exact and usable, and is feasible for being applied to the infrared sensing performance promotions of microbolometric array.
An Identification Algorithm of Relay Protection Parameter for Flexible High-Voltage Direct Current Transmission Lines Under Synchronous Sampling
Authors: Lai Yiyang , Wang Zengping
Published: December 2022

Relay protection device is a protection device when the flexible DC transmission line is long and leads to line failure. Therefore, in order to ensure the reliable identification of relay protection parameters, an identification algorithm of relay protection parameter for flexible DC
transmission line under synchronous sampling is proposed. By calculating the relay protection parameters based on synchronous sampling, the algorithm obtains the positive sequence parameters and zero sequence parameters of flexible DC transmission line’s relay protection, and uses the
matrix beam algorithm to identify the positive sequence parameters and zero sequence parameters, so as to obtain the subsynchronous oscillation modal parameters. In order to improve the identification effect, the extended particle swarm optimization algorithm is used to optimize the identification
results. The test results show that the algorithm has the feasibility of relay protection parameter identification and the calculation function of positive sequence parameters and zero sequence parameters of relay protection device. It can reliably identify the current change and the change
results of positive sequence parameters and zero sequence parameters with minimal identification error.
Sensitive Aptasensing of Hepatitis B Viral Antigen Gold Dielectrode by Current-Volt Measurements
Authors: Geng Huijuan , Gopinath Subash C.B. , Chen Yeng , Niu Wenyan
Published: December 2022

Hepatitis B virus (HBV) is a serious human health issue, primarily leading to cirrhosis, chronic hepatitis, and primary liver cancer. Patients are at higher risk of a poor prognosis if the viral load exceeds >105 copies/mL; hence, it is crucial to identify the early stages
of HBV infection. This research aimed to identify hepatitis B surface antigen (HBsAg) on an interdigitated gold electrode sensor assisted by HBsAg-specific aptamer and antibody interactions. The aptamer-HBsAg-antibody sandwich assay was carried out on an interdigitated electrode using aptamer
as the capture molecule and anti-HBsAg antibody as the detection molecule. Higher capture probe immobilization was achieved through the gold nanourchin conjugated capture aptamer. On the aptamer-attached electrode, HBsAg interacted with and was sandwiched by the detection antibody. The sandwich
assay lowered the limit of HBsAg detection to 0.1 ng/mL, as indicated by the calculated R2 value of 0.9915 on a linear regression graph presenting data for concentrations of HBsAg from 0.1 to 60 ng/mL. Furthermore, specific HBsAg detection was confirmed by complementarity of the
capture aptamer sequence and nonspecific proteins (hepatitis C-the core antigen (HCVcoreAg) and albumin). A selective experiment revealed a gradual increase in current responses in a HBsAg-spiked serum sample, demonstrating the interference-free detection of HBsAg for the real-life sample.
Design and Experiment of Piezoelectric–Electromagnetic Composite Energy Trap Based on Human Motion
Authors: Zhang Yan , Liu Jin-long , Lin Jia-ying , Zhu Jin-zhi , Wang Hai-gang , Tian Xiao-chao
Published: December 2022

To realize the harvesting of energy generated by human movement, in this study, a piezoelectric–electromagnetic composite was designed for harvesting the energy generated by low-frequency human motion is designed by combining the principle of power generation and electromagnetic
energy conversion of polyvinylidene fluoride (PVDF) piezoelectric materials. First, the structure and working principle of the piezoelectric–electromagnetic composite energy trap were designed and analyzed. Next, the system dynamics model of piezoelectric–electromagnetic coupling
power generation was established, and the main influencing factors of the composite energy trap were derived. Moreover, the influence of PVDF piezoelectric materials with different size parameters on the output voltage and the influence of the frequency of the moving permanent magnet on electromagnetic
power generation were analyzed. Finally, the prototype was constructed and tested. The results revealed that the output voltage of the piezoelectric–electromagnetic composite energy trap placed horizontally is higher than that of the composite energy trap placed vertically at step frequencies
of over 90 steps/min, and the maximum output voltage is 25.6 V at the step frequency of 140 steps/min. The electric energy generated by the composite energy trap can supply power to low-power electronic devices, thus demonstrating the feasibility of collecting human-motion energy for power
generation.
Printed Circuit Board Electromagnetic Compatibility Design of LLC Resonant Converter Based on Field-Line Coupling Effect
Authors: Bai Xiao-ping , Wen Tao , Qin Hong-bo
Published: December 2022

With the development of switching power supply in the direction of high efficiency, high integration, miniaturization and intelligence, LLC resonant converter has been widely used for its advantages of low loss and high efficiency. As an indispensable part in the design, the circuit
board is responsible for the dual connection of the electrical part and the mechanical part of the LLC resonant converter. With the increasing of integration and distribution density of components, the EMC problem becomes more and more serious. In this paper, LLC resonant converter PCB is
taken as an example to guide the selection and layout of active components based on field-circuit combination method, and the signal integrity of the system is analyzed. Finally, an experimental platform is built to verify the feasibility and effectiveness of the proposed method.
Understanding the effect of direct-acting antiviral therapy on weight in patients with chronic hepatitis C
Authors: Nkwocha Chinyere L , Carter Pamela S , Blair Somer , Blackwell James M , Fasanmi Esther O
Published: December 2022

Background

Direct-acting antivirals (DAAs) have revolutionized treatment for HCV. Compared to interferon-based therapies, DAAs achieve higher rates of sustained virologic response, with more tolerable side effects. Nonetheless, interferon-based therapies have the potential to cause weight loss, and literature documenting the impact of DAAs on weight is limited. Appetite suppression may occur with chronic HCV. It is plausible that DAAs may indirectly cause weight gain given their ability to cause rapid virologic suppression, leading to improved hepatic function.

Methods

A retrospective chart review identified 220 patients who initiated DAA therapy between 1 February 2019, and 29 February 2020. Patients 18 years and older who completed therapy with a DAA were included in the study if they had a documented initial weight (weight on the day therapy was initiated) and final weight (weight 12 weeks after therapy completion). Change in weight was assessed as the primary outcome. Comorbidities with the potential to impact weight were assessed as confounders.

Results

Multiple variables were analyzed and baseline BMI was the only factor that influenced a change in weight ( P = 0.016). Patients with a higher BMI at baseline experienced statistically significant weight gain. Weight was increased by 0.14 kg per unit of BMI (95% CI: 0.026, 0.25). Patient demographics relating to age and gender, progression of cirrhosis and concurrent comorbidities had no statistically significant impact on change in weight.

Conclusion

Weight changes after treatment with a DAA may be related to the individual’s weight prior to treatment.
Early Indicators of Autism in Infants: Development of the IMES Screening Tool
Authors: Demchick Barbara B. , Flanagan Joanne , Li Chih-Ying , Cassidy Rachel , Golding Jessica
Published: December 2022

We developed the Infant, Motor, and Engagement Scale (IMES) to address the public health goal of early identification of autism spectrum disorder (ASD). The IMES is a screening tool that assesses quality of infants’ interaction with people and objects during early play. We aimed to examine the IMES’ preliminary psychometric properties and its value in discriminating between infants later diagnosed with ASD and typically developing infants. We used the IMES to score retrospective home videos of 15 male infants, 7 who were later diagnosed with autism. We examined interrater reliability using Cohen’s Kappa, internal consistency with Cronbach’s alpha and content validity through expert review. Preliminary data support validity and reliability of the IMES for early identification for infants at 6 to 9 months. With further research, the IMES has the potential to identify at risk infants at a young age that may have long-term impact on child and family outcomes.
Emerging pharmacological treatment options for MAFLD
Authors: Rojas Ángela , Lara-Romero Carmen , Muñoz-Hernández Rocío , Gato Sheila , Ampuero Javier , Romero-Gómez Manuel
Published: December 2022

Metabolic dysfunction–associated fatty liver disease (MAFLD) prevalence and incidence is rising globally. It is associated with metabolic comorbidities, obesity, overweight, type 2 diabetes mellitus, and at least two metabolic risk factors, such as hypertension, hypertriglyceridemia, hypercholesterolemia, insulin resistance, and cardiovascular risk, increasing the risk of mortality. The excessive accumulation of fat comprises apoptosis, necrosis, inflammation and ballooning degeneration progressing to fibrosis, cirrhosis, and liver decompensations including hepatocellular carcinoma development. The limitation of approved drugs to prevent MAFLD progression is a paradigm. This review focuses on recent pathways and targets with evidence results in phase II/III clinical trials.
Efficacy and safety analyses of epidermal growth factor receptor tyrosine kinase inhibitors combined with chemotherapy in the treatment of advanced non–small-cell lung cancer with an EGFR/TP53 co-mutation
Authors: Shang Kai , Huang Hongxiang , Xu Yongkang , Liu Yangyang , Lu Zhihui , Chen Li
Published: December 2022

Purpose

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) combined with cytotoxic chemotherapy are highly effective in the treatment of advanced non–small-cell lung cancer (NSCLC) with EGFR mutations. The purpose of this study is to evaluate the efficacy and safety of this combination in advanced NSCLC patients with an EGFR/TP53 co-mutation.

Methods

Ninety-five advanced NSCLC patients with an EGFR/TP53 co-mutation were enrolled in this study. Treatments with either EGFR-TKI monotherapy (T group, n = 61) or EGFR-TKI combined with chemotherapy (TC group, n = 34) were evaluated in relation to objective response rate (ORR), disease control rate (DCR), median time to progression (TTP), and median overall survival (OS).

Results

There were no statistically significant differences in DCR between the treatment groups. The ORR was significantly improved in the TC group versus the T group (55.9% vs. 34.4%, P = 0.042). A higher median TTP was noted in TC group compared with T group (16.1 vs. 11.1 months, P = 0.002). Patients without brain metastases in TC group had a longer median OS than in T group (48.4 vs. 28.8 months, P = 0.003). However, there was a non-significant trend towards longer OS in TC group in the entire cohort (36.9 vs. 28.2 months, P = 0.078). Cox multivariate regression analysis showed that clinical stage, brain metastases, EGFR21 L858R mutation, and T790M status at first progression were independent risk factors for OS. However, the incidence of grade 3 or higher adverse events were higher in the TC group than in the T group (32.4% vs. 13.1%, P = 0.025).

Conclusion

Our study indicates that EGFR-TKIs combined with chemotherapy could significantly improve the ORR and TTP of advanced NSCLC patients with an EGFR/TP53 co-mutation. Combination therapy may be a promising treatment for advanced NSCLC patients with an EGFR/TP53 co-mutation without brain metastases.