bluuebunny/crossref_metadata_2025 huggingface dataset:
An efficient design of 45-nm CMOS low-noise charge sensitive amplifier for wireless receivers
Authors: Almalkawi Islam T. , Al-Bqerat Ashraf H. , Itradat Awni , Al-Karaki Jamal N.
Published: January 2022

Amplifiers are widely used in signal receiving circuits, such as antennas, medical imaging, wireless devices and many other applications. However, one of the most challenging problems when building an amplifier circuit is the noise, since it affects the quality of the intended received signal in most wireless applications. Therefore, a preamplifier is usually placed close to the main sensor to reduce the effects of interferences and to amplify the received signal without degrading the signal-to-noise ratio. Although different designs have been optimized and tested in the literature, all of them are using larger than 100 nm technologies which have led to a modest performance in terms of equivalent noise charge (ENC), gain, power consumption, and response time. In contrast, we consider in this paper a new amplifier design technology trend and move towards sub 100 nm to enhance its performance. In this work, we use a pre-well-known design of a preamplifier circuit and rebuild it using 45 nm CMOS technology, which is made for the first time in such circuits. Performance evaluation shows that our proposed scaling technology, compared with other scaling technology, extremely reduces ENC of the circuit by more than 95%. The noise spectral density and time resolution are also reduced by 25% and 95% respectively. In addition, power consumption is decreased due to the reduced channel length by 90%. As a result, all of those enhancements make our proposed circuit more suitable for medical and wireless devices.
Inductanceless high order low frequency filters for medical applications
Authors: Almalah Noor Thamer , Aldabbagh Faris Hasan
Published: January 2022

In this paper, a designed circuit used for low-frequency filters is implemented and realized the filter is based on frequency-dependent negative resistance (FDNR) as an inductor simulator to substitute the traditional inductance, which is heavy and high cost due to the coil material manufacturing and size area. The simulator is based on an active operation amplifier or operation transconductance amplifier (OTA) that is easy to build in an integrated circuit with a minimum number of components. The third and higher-order Butterworth filter is simulated at low frequency for low pass filter to use in medical instruments and low-frequency applications. The designed circuit is compared with the traditional proportional integral controller enhanced (PIE) and T section ordinary filter. The results with magnitude and phase response were compared and an acceptable result is obtained. The filter can be used for general applications such as medical and other low-frequency filters needed.
State of charge estimation for lithium-ion batteries connected in series using two sigma point Kalman filters
Authors: Van Chi Nguyen , Vinh Thuy Nguyen
Published: January 2022

This paper proposes a method to estimate state of charge (SoC) for Lithium-ion battery pack (LIB) with 𝑁 series-connected cells. The cell’s model is represented by a second-order equivalent circuit model taking into account the measurement disturbances and the current sensor bias. By using two sigma point Kalman filters (SPKF), the SoC of cells in the pack is calculated by the sum of the pack’s average SoC estimated by the first SPKF and SoC differences estimated by the second SPKF. The advantage of this method is the SoC estimation algorithm performed only two times instead of 𝑁 times in each sampling time interval, so the computational burden is reduced. The test of the proposed SoC estimation algorithm for 7 samsung ICR18650 Lithium-ion battery cells connected in series is implemented in the continuous charge and discharge scenario in one hour time. The estimated SoCs of the cells in the pack are quite accurate, the 3-sigma criterion of estimated SoC error distributions is 0.5%.
Development of a solar radiation sensor system with pyranometer
Authors: Nugraha Muchamad Rizky , Adriansyah Andi
Published: January 2022

Solar energy is a result of the nuclear fusion process in the form of a series of thermonuclear events that occur in the Sun's core. Solar radiation has a significant impact on the lives of all living things on earth. The uses, as mentioned earlier, are when the solar radiation received requires a certain amount and vice versa. As a result, a more accurate instrument of solar radiation is required. A specific instrument is typically used to measure solar radiation parameters. There are four solar radiation parameters: diffusion radiation, global radiation, direct radiation, and solar radiation duration. Thus, it needs to use many devices to measure radiation data. The paper designs to measure all four-radiation data by pyranometer with particular modification and shading device. This design results have a high correlation with a global standard with a value of R=0.73, diffusion with a value of R=0.60 and a sufficiently strong direct correlation with a value of R=0.56. It can be said that the system is much simpler, making it easier to monitor and log the various solar radiation parameters.
Driving cycle tracking device big data storing and management
Authors: Subramaniam Arunkumar , Ibrahim Nurru Anida , Jabar Siti Norbakyah , Rahman Salisa Abdul
Published: January 2022

Driving cycle is commonly known as a series of speed-time profile. Research on this discipline aids vehicle manufacturing industries in vehicle manufacturing, environmentalists to study on environment quality and profile in accordance to vehicle emissions besides traffic engineers to further investigate the behavior of drivers and the conditions of roads in a certain area or cluster. This also assists automotive industries to innovate energy efficient vehicles which reduce vehicle emissions and energy wastages which lead to air pollution in which a major threat for human health according to Goal 3 of united nations (UN) sustainable development goals (SDG). To construct an accurate driving cycle, data based on real-world driving behavior is crucial and as the world is advancing in technology, the usage of internet of things (IoT) plays an important role in innovatietcons. IoT is an idea of computing every day physical object and information into computers, devices and software. These devices work by using sensors that transmit data to a computer or software allowing them to perform important tasks as needed. In this research, an idea of data collecting device, driving cycle tracking device (DC-TRAD) is constructed with implementation of IoT in which the collected data will be saved into my structured query language (MySQL) database instantly for data storing.
Centrifugal compressor anti-surge control system modelling
Authors: Batayev Nurlan , Suleimenov Batyrbek , Batayeva Sagira
Published: January 2022

From the middle of XX century, natural gas is an important mineral, widely used in the energy sector. Transportation of natural gas is carried out via gas pipeline networks and compression stations. One of the key features which need to be implemented for any centrifugal gas compressor is a surge protection. This article describes the method and develops software application intended for simulation and study of surge protection system of a centrifugal compressor used in modern gas compression stations. Within the article research method, modelling environment’s block diagram, proposed algorithms and results are described. For surge cases control and prediction, Anti-surge control block implemented which based on practical experience and centrifugal compressor theory. To avoid complicated energy balancing differential equations the volumetric flow calculation algorithm proposed which is used in combination with Redlich-Kwong equation of state. Developed software’s adequacy test performed through modeling of one-stage gas compression scheme at rated speed with comparison of parameters with reference commercial software and verification of the anti-surge control system.
A hybrid method for traumatic brain injury lesion segmentation
Authors: Dawod Ahmad Yahya , Phaphuangwittayakul Aniwat , Angkurawaranon Salita
Published: January 2022

Traumatic brain injuries are significant effects of disability and loss of life. Physicians employ computed tomography (CT) images to observe the trauma and measure its severity for diagnosis and treatment. Due to the overlap of hemorrhage and normal brain tissues, segmentation methods sometimes lead to false results. The study is more challenging to unitize the AI field to collect brain hemorrhage by involving patient datasets employing CT scans images. We propose a novel technique free-form object model for brain injury CT image segmentation based on superpixel image processing that uses CT to analyzing brain injuries, quite challenging to create a high outstanding simple linear iterative clustering (SLIC) method. The maintains a strategic distance of the segmentation image to reduced intensity boundaries. The segmentation image contains marked red hemorrhage to modify the free-form object model. The contour labelled by the red mark is the output from our free-form object model. We proposed a hybrid image segmentation approach based on the combined edge detection and dilation technique features. The approach diminishes computational costs, and the show accomplished 96.68% accuracy. The segmenting brain hemorrhage images are achieved in the clustered region to construct a free-form object model. The study also presents further directions on future research in this domain.
Computed tomography scans image processing for nasal symptoms severity prediction
Authors: Nuseir Amjad , Albalas Hasan , Nuseir Aya , Alali Maulla , Zoubi Firas , Al-Ayyoub Mahmoud , Mahdi Mohammed , Al Omari Ahmad
Published: January 2022

This paper aims to use a new technique of computed tomography (CT) scan image processing to correlate the image analysis with sinonasal symptoms. A retrospective cross-sectional study is conducted by analyzing the digital records of 50 patients who attended the ear, nose and throat (ENT) clinics at King Abdullah University Hospital, Jordan. The coronal plane CT scans are analyzed using our developed software. The purposes of this software are to calculate the surface area of the nasal passage at three different levels visible on coronal plane CT scans: i) the head of the inferior turbinate, ii) the head of the middle turbinate, and iii) the tail of the inferior turbinate. We employ image processing techniques to correlate the narrowing of nasal surface area with sinonasal symptoms. As a consequence, obstruction in the first level is correlated significantly with the symptoms of nasal obstruction while the narrowing in the second level is related to frontal headache. No other significant correlations are found with nasal symptoms at the third level. In our study, we find that image processing techniques can be very useful to predict the severity of common nasal symptoms and they can be used to suggest treatment and to follow up on the case progression.
Automatic BIRCH thresholding with features transformation for hierarchical breast cancer clustering
Authors: Alzu'bi Ahmad , Barham Maysarah
Published: January 2022

Breast cancer is one of the most common diseases diagnosed in women over the world. The balanced iterative reducing and clustering using hierarchies (BIRCH) has been widely used in many applications. However, clustering the patient records and selecting an optimal threshold for the hierarchical clusters still a challenging task. In addition, the existing BIRCH is sensitive to the order of data records and influenced by many numerical and functional parameters. Therefore, this paper proposes a unique BIRCH-based algorithm for breast cancer clustering. We aim at transforming the medical records using the breast screening features into sub-clusters to group the subject cases into malignant or benign clusters. The basic BIRCH clustering is firstly fed by a set of normalized features then we automate the threshold initialization to enhance the tree-based sub-clustering procedure. Additionally, we present a thorough analysis on the performance impact of tuning BIRCH with various relevant linkage functions and similarity measures. Two datasets of the standard breast cancer wisconsin (BCW) benchmarking collection are used to evaluate our algorithm. The experimental results show a clustering accuracy of 97.7% in 0.0004 seconds only, thereby confirming the efficiency of the proposed method in clustering the patient records and making timely decisions.
A novel algorithm for software defined networks model to enhance the quality of services and scalability in wireless network
Authors: Sharadqeh Ahmad
Published: January 2022

Software defined networks (SDN) have replaced the traditional network architecture by separating the control from forwarding planes. SDN technology utilizes computer resources to provide worldwide effective service than the aggregation of single internet resources usage. Breakdown while resource allocation is a major concern in cloud computing due to the diverse and highly complex architecture of resources. These resources breakdowns cause delays in job completion and have a negative influence on attaining quality of service (QoS). In order to promote error-free task scheduling, this study represents a promising fault-tolerance scheduling technique. For optimum QoS, the suggested restricted Boltzmann machine (RBM) approach takes into account the most important characteristics like current consumption of the resources and rate of failure. The proposed approach's efficiency is verified using the MATLAB toolbox by employing widely used measures such as resource consumption, average processing time, throughput and rate of success.
Accurate indoor positioning system based on modify nearest point technique
Authors: Mustafa Omar Ibrahim , Joey Hawraa Lateef , AlSalam Noor Abd , Chaloob Ibrahim Zeghaiton
Published: January 2022

Wireless fidelity (Wi-Fi) is common technology for indoor environments that use to estimate required distances, to be used for indoor localization. Due to multiple source of noise and interference with other signal, the receive signal strength (RSS) measurements unstable. The impression about targets environments should be available to estimate accurate targets location. The Wi-Fi fingerprint technique is widely implemented to build database matching with real data, but the challenges are the way of collect accurate data to be the reference and the impact of different environments on signals measurements. In this paper, optimum system proposed based on modify nearest point (MNP). To implement the proposal, 78 points measured to be the reference points recorded in each environment around the targets. Also, the case study building is separated to 7 areas, where the segmentation of environments leads to ability of dynamic parameters assignments. Moreover, database based on optimum data collected at each time using 63 samples in each point and the average will be final measurements. Then, the nearest point into specific environment has been determined by compared with at least four points. The results show that the errors of indoor localization were less than (0.102 m).
An identification of the tolerable time-interleaved analog-to-digital converter timing mismatch level in high-speed orthogonal frequency division multiplexing systems
Authors: Dung Huynh Vo Trung , Mai Linh , Do Hung Ngoc , Truong Nguyen Minh Ngoc , Pham Trung Kien
Published: January 2022

High-speed Terahertz communication systems has recently employed orthogonal frequency division multiplexing approach as it provides high spectral efficiency and avoids inter-symbol interference caused by dispersive channels. Such high-speed systems require extremely high-sampling
 time-interleaved analog-to-digital converters at the receiver. However, timing mismatch of time-interleaved analog-to-digital converters significantly causes system performance degradation. In this paper, to avoid such performance degradation induced by timing mismatch, we theoretically determine maximum tolerable mismatch levels for orthogonal frequency division multiplexing communication systems. To obtain these levels, we first propose an analytical method to derive the bit error rate formula for quadrature and pulse amplitude modulations in Rayleigh fading channels, assuming binary reflected gray code (BRGC) mapping. Further, from the derived bit error rate (BER) expressions, we reveal a threshold of timing mismatch level for which error floors produced by the mismatch will be smaller than a given BER. Simulation results demonstrate that if we preserve mismatch level smaller than 25% of this obtained threshold, the BER performance degradation is smaller than 0.5 dB as compared to the case without timing mismatch.
Bandwidth enhancement of dual-band bi-directional microstrip antenna using complementary split ring resonator with defected structure for 3/5 GHz applications
Authors: Pochaiya Charernkiat , Chandhaket Srawouth , Leekul Prapan , Mearnchu Jhirat , Tantisopharak Tanawut , Limpiti Thunyawat
Published: January 2022

This paper presents a bandwidth enhancement of a dual-band bi-directional rectangular microstrip patch antenna. The novelty of this work lies in the modification of conventional rectangular microstip patch antenna by using the combination of two techniques: a complementary split ring resonator (CSRR) and a defected patch structure (DPS). The structure of antenna was studied and investigated via computer simulation technology (CST). The dimension and position of CSRR on the ground plane was optimized to achieve dual bandwidth and bi-directional radiation pattern characteristics. In addition, the bandwidths were enhanced by defecting suitable shape incorporated in the microstrip patch. A prototype with overall dimension of 70.45×63.73 mm2 has been fabricated on FR-4 substrate. To verify the proposed design, the impedance bandwidth, gain, and radiation patterns were carried out in measurements. The measured impedance bandwidths were respectively 560 MHz (3.08-3.64 GHz) and 950 GHz (4.64-5.59 GHz) while the measured gains of each bandwidth were respectively 4.28 dBi and 4.63 dBi. The measured radiation patterns were in good agreement with simulated ones. The proposed antenna achieves wide dual bandwidth and bi-directional radiation patterns performances. Consequently, it is a promising candidate for Wi-Fi or 5G communications in specific areas such as tunnel, corridor, or transit and rail.
Detection of Sybil attack in vehicular ad hoc networks by analyzing network performance
Authors: Chaubey Nirbhay Kumar , Yadav Dhananjay
Published: January 2022

Vehicular ad hoc network (VANET) is an emerging technology which can be very helpful for providing safety and security as well as for intelligent transportation services. But due to wireless communication of vehicles and high mobility it has certain security issues which cost the safety and security of people on the road. One of the major security concerns is the Sybil attack in which the attacker creates dummy identities to gain high influence in the network that causes delay in some services and fake voting in the network to misguide others. The early detection of this attack can prevent people from being misguided by the attacker and save them from getting into any kind of trap. In this research paper, Sybil attack is detected by first applying the Poisson distribution algorithm to predict the traffic on the road and in the second approach, analysis of the network performance for packet delivery ratio (PDR) is performed in malign and benign environment. The simulation result shows that PDR decreases in presence of fake vehicles in the network. Our approach is simple and effective as it does not require high computational overhead and also does not violate the privacy issues of people in the network.
Improving collaborative filtering using lexicon-based sentiment analysis
Authors: Sallam Rouhia Mohammed , Hussein Mahmoud , Mousa Hamdy M.
Published: January 2022

Since data is available increasingly on the Internet, efforts are needed to develop and improve recommender systems to produce a list of possible favorite items. In this paper, we expand our work to enhance the accuracy of Arabic collaborative filtering by applying sentiment analysis to user reviews, we also addressed major problems of the current work by applying effective techniques to handle the scalability and sparsity problems. The proposed approach consists of two phases: the sentiment analysis and the recommendation phase. The sentiment analysis phase estimates sentiment scores using a special lexicon for the Arabic dataset. The item-based and singular value decomposition-based collaborative filtering are used in the second phase. Overall, our proposed approach improves the experiments’ results by reducing average of mean absolute and root mean squared errors using a large Arabic dataset consisting of 63,000 book reviews.
E-service portal for freelance community: case study in photography business
Authors: Chai-Arayalert Supaporn , Puttinaovarat Supattra , Thongsri Nattaporn
Published: January 2022

This study revealed the limitations of freelancers’ inability to perform portfolios and biographies, their performance ratings to a large community of customers. The difficulties were evident in searching for reliable, qualified and experienced freelancers from multi-channel information sources. These limitations might impact the ability of freelancers selected by customers to perform the required task to the customers’ satisfaction. This research focused on the case study of the freelance community for photography business in southern of Thailand. This aims to establish an online facility in which freelance photographers can publicize their services and performance to potential customers. The concepts entailed in web portals and e-services were the key elements in the development and ensured that its functions worked efficiently. The study employed qualitative methods were used to assess the current practices of web portal and thus determining the requirements for the e-service web portal for freelance community. The practical contribution is that it can aid the effective design and implementation of an e-service web portal for the freelance community of photography business, and it is a massive step towards promoting the freelance community in Thailand.
Energy sink-holes avoidance method based on fuzzy system in wireless sensor networks
Authors: D. Aljubaily Mohammed , Alshawi Imad
Published: January 2022

The existence of a mobile sink for gathering data significantly extends wireless sensor networks (WSNs) lifetime. In recent years, a variety of efficient rendezvous points-based sink mobility approaches has been proposed for avoiding the energy sink-holes problem nearby the sink, diminishing buffer overflow of sensors, and reducing the data latency. Nevertheless, lots of research has been carried out to sort out the energy holes problem using controllable-based sink mobility methods. However, further developments can be demonstrated and achieved on such type of mobility management system. In this paper, a well-rounded strategy involving an energy-efficient routing protocol along with a controllable-based sink mobility method is proposed to extirpate the energy sink-holes problem. This paper fused the fuzzy A-star as a routing protocol for mitigating the energy consumption during data forwarding along with a novel sink mobility method which adopted a grid partitioning system and fuzzy system that takes account of the average residual energy, sensors density, average traffic load, and sources angles to detect the optimal next location of the mobile sink. By utilizing diverse performance metrics, the empirical analysis of our proposed work showed an outstanding result as compared with fuzzy A-star protocol in the case of a static sink.
A hybrid approach for categorizing images based on complex networks and neural networks
Authors: Ebrahimi Ali , Mirzaie Kamal , Latif Ali Mohamad
Published: January 2022

There are several methods for categorizing images, the most of which are statistical, geometric, model-based and structural methods. In this paper, a new method for describing images based on complex network models is presented. Each image contains a number of key points that can be identified through standard edge detection algorithms. To understand each image better, we can use these points to create a graph of the image. In order to facilitate the use of graphs, generated graphs are created in the form of a complex network of small-worlds. Complex grid features such as topological and dynamic features can be used to display image-related features. After generating this information, it normalizes them and uses them as suitable features for categorizing images. For this purpose, the generated information is given to the neural network. Based on these features and the use of neural networks, comparisons between new images are performed. The results of the article show that this method has a good performance in identifying similarities and finally categorizing them.
Ontology specific visual canvas generation to facilitate sense-making-an algorithmic approach
Authors: Vidanage Kaneeka , Mohamad Noor Noor Maizura , Mohemad Rosmayati , Abu Bakar Zuriana
Published: January 2022

Ontologies are domain-specific conceptualizations that are both human and machine-readable. Due to this remarkable attribute of ontologies, its applications are not limited to computing domains. Banking, medicine, agriculture, and law are a few of the non-computing domains, where ontologies are being used very effectively. When creating ontologies for non-computing domains, involvement of the non-computing domain specialists like bankers, lawyers, farmers become very vital. Hence, they are not semantic specialists, particularly designed visualization assistance is required for the ontology schema verifications and sense-making. Existing visualization methods are not fine-tuned for non-technical domain specialists and there are lots of complexities. In this research, a novel algorithm capable of generating domain specialists’ friendlier visualization canvas has been explored. This proposed algorithm and the visualization canvas has been tested for three different domains and overall success of 85% has been yielded.
Cosine similarity-based algorithm for social networking recommendation
Authors: Al-Otaibi Shaha , Altwoijry Nourah , Alqahtani Alanoud , Aldheem Latifah , Alqhatani Mohrah , Alsuraiby Nouf , Alsaif Sarah , Albarrak Shahla
Published: January 2022

Social media have become a discussion platform for individuals and groups. Hence, users belonging to different groups can communicate together. Positive and negative messages as well as media are circulated between those users. Users can form special groups with people who they already know in real life or meet through social networking after being suggested by the system. In this article, we propose a framework for recommending communities to users based on their preferences; for example, a community for people who are interested in certain sports, art, hobbies, diseases, age, case, and so on. The framework is based on a feature extraction algorithm that utilizes user profiling and combines the cosine similarity measure with term frequency to recommend groups or communities. Once the data is received from the user, the system tracks their behavior, the relationships are identified, and then the system recommends one or more communities based on their preferences. Finally, experimental studies are conducted using a prototype developed to test the proposed framework, and results show the importance of our framework in recommending people to communities.
X-ware: a proof of concept malware utilizing artificial intelligence
Authors: Truong Thanh Cong , Plucar Jan , Diep Bao Quoc , Zelinka Ivan
Published: January 2022

Recent years have witnessed a dramatic growth in utilizing computational intelligence techniques for various domains. Coherently, malicious actors are expected to utilize these techniques against current security solutions. Despite the importance of these new potential threats, there remains a paucity of evidence on leveraging these research literature techniques. This article investigates the possibility of combining artificial neural networks and swarm intelligence to generate a new type of malware. We successfully created a proof of concept malware named X-ware, which we tested against the Windows-based systems. Developing this proof of concept may allow us to identify this potential threat’s characteristics for developing mitigation methods in the future. Furthermore, a method for recording the virus’s behavior and propagation throughout a file system is presented. The proposed virus prototype acts as a swarm system with a neural network-integrated for operations. The virus’s behavioral data is recorded and shown under a complex network format to describe the behavior and communication of the swarm. This paper has demonstrated that malware strengthened with computational intelligence is a credible threat. We envisage that our study can be utilized to assist current and future security researchers to help in implementing more effective countermeasures
An integrated multiple layer perceptron-genetic algorithm decision support system for photovoltaic power plant site selection
Authors: Malemnganbi Rajkumari , Shimray Benjamin A.
Published: January 2022

There is a need for non-renewable energy sources in generation of power for almost every domestic and commercial purposes. This source of energy helps in the development of a country. Because of the increasing usage of the fossil fuels and depletion of these resources, our focus has been shifted towards the renewable sources of energy like solar, water and wind. Therefore, in the present scenario, the usage of renewable sources has been increasing rapidly. Selection of a solar power plant (SPP) requires environmental factor, local terrain, and local weather issues. Thus, a large amount of investment is required for installation. Multi-criteria decision making (MCDM) is a method that identifies one in choosing the best sites among the other proposed options. This paper gives a detailed study of optimal ranking of SPP site using analytical hierarchy process (AHP), multiple layer perceptron (MLP) neural network trained with back propagation (BP) algorithm and genetic algorithm (GA). Three SPP sites of India were considered and various important criteria like local weather, geographical location, and environmental factors are included in our study as SPP site selection is a multi-criteria problem. A precise comparison of these three methods is listed in this paper.
Automatic missing value imputation for cleaning phase of diabetic’s readmission prediction model
Authors: Mohd Zebaral Hoque Jesmeen , Hossen Jakir , Sayeed Shohel , Mohammed Tawsif K. Chy. , Ganesan Jaya , Raja J. Emerson
Published: January 2022

Recently, the industry of healthcare started generating a large volume of datasets. If hospitals can employ the data, they could easily predict the outcomes and provide better treatments at early stages with low cost. Here, data analytics (DA) was used to make correct decisions through proper analysis and prediction. However, inappropriate data may lead to flawed analysis and thus yield unacceptable conclusions. Hence, transforming the improper data from the entire data set into useful data is essential. Machine learning (ML) technique was used to overcome the issues due to incomplete data. A new architecture, automatic missing value imputation (AMVI) was developed to predict missing values in the dataset, including data sampling and feature selection. Four prediction models (i.e., logistic regression, support vector machine (SVM), AdaBoost, and random forest algorithms) were selected from the well-known classification. The complete AMVI architecture performance was evaluated using a structured data set obtained from the UCI repository. Accuracy of around 90% was achieved. It was also confirmed from cross-validation that the trained ML model is suitable and not over-fitted. This trained model is developed based on the dataset, which is not dependent on a specific environment. It will train and obtain the outperformed model depending on the data available.
Narrow-band filter for satellite communication systems
Authors: Strizhachenko Alexander Vladimirovich , Shulga Sergey Nikolayevich
Published: January 2022

Design narrow-band compact filters, based on high-quality waveguide-dielectric resonators with anisotropic materials is the subject of this paper. Filter represents a segment of a rectangular waveguide rotated around the longitudinal axis of the waveguide 90 degrees and containing one or more dielectric inserts that completely fill the resonator along the narrow wall of the waveguide and partially along the wide one. A distinctive feature of the proposed filter is higher slope steepness of the amplitude-frequency characteristic, and high manufacturability in the centimeter range. The designed narrow-band filter satisfies contradictory requirements: it combines narrow bandwidth (≈ 0.1% of center frequency f0) with low passband insertion loss (≤ 1 dB).
Juicios de la gente corriente acerca del gobierno de Allende: resultados de una encuesta panel aplicada en 1972 y 1973
Authors: Mac-Clure Oscar , Lamadrid Silvia , Conejeros José Daniel
Published: January 2022

Se estudian los juicios de los individuos acerca del período del gobierno del Presidente Allende en Chile,  particularmente la crisis que se  agudizó en los años 1972 y 1973, que precedió al golpe militar de  septiembre de 1973 y la instauración de una dictadura. Se enfatiza en la  perspectiva de las personas corrientes, en base a inéditos datos de una  encuesta panel aplicada durante el  período por un equipo de  investigadores encabezados por  Eduardo Hamuy, uno de los  fundadores de la sociología en Chile. Se sigue a las mismas personas entre el momento previo a la agudización dela crisis y luego cuando ésta ya había madurado, distinguiendo a los encuestados según su posición con respecto al apoyo al Presidente. La  evolución de la opinión de las  personas encuestadas amplía el conocimiento sobre el período a nivel microsocial en la sociedad chilena. A partir de los individuos encuestados, se analizan aspectos claves  relacionados con género, clase social, identidad política y opinión sobre los principales problemas del país.
Observing observers in social systems theory.: an interview with Hans-Georg Moeller
Authors: Minhoto Laurindo Dias , Amato Lucas Fucci , Barros Marco Antonio Loschiavo Leme de
Published: January 2022

On November 4th, 2019, Hans-Georg  Moeller delivered a presentation on  systems theory at the Law School of  the University of São Paulo and was  interviewed about Niklas Luhmann’s  theory of society, with emphasis on issues such as law, politics, and the  history of philosophy. Professor Moeller is the author of important books such as Luhmann explained: From souls to systems (Moeller, 2006) and The radical Luhmann (Moeller, 2011), the latter also translated to Japanese and Italian. He also works on Chinese philosophy and is currently Full Professor at the Department of Philosophy and Religious Studies in the Faculty of Arts and Humanities of the University of Macau, China. Throughout the interview, professor Moeller situated Luhmann in the philosophical tradition of German idealism and presented the shift to second-order observation as a crucial aspect of contemporary society, in  religion and politics, science, economy and law. The interview was conducted partly in writing and partly in the form of a recorded and transcribed debate.
“Outras crianças”: nossos discursos. Reflexões sobre a clínica com crianças imigrantes
Authors: Nolasco Ligia Rufine , Castelli Andressa Carvalho , Mountian Ilana
Published: January 2022

Este artigo pretende trazer reflexões para a clínica com foco na relação com a alteridade a partir da experiência no trabalho com crianças imigrantes na cidade de São Paulo. Considerando que na contemporaneidade as crianças são interpeladas, cada vez mais, por discursos objetificantes, esse trabalho pretende refletir sobre como estes operam na intersecção com discursos sobre imigração e como estes afetam a prática clínica. Para tanto, esse estudo irá retomar a discussão da infância enquanto uma categoria histórica, social e política e analisará específicos discursos sobre a criança imigrante no contexto escolar e na saúde mental. Esta análise contribui ao debate sobre a escuta na clínica, na qual ressaltamos a reflexão sobre alteridade e a importância em considerar o contexto social do sujeito, assim como o ideal de infância que está em cena, na sua relação com as categorias de gênero, raça e classe e imigração.
A culpa é sempre da mãe? Um olhar sobre a maternidade através da clínica com crianças
Authors: Gorin Michelle Christof , Mello Renata Machado de , Féres-Carneiro Terezinha
Published: January 2022

Este artigo pretende discutir questões relativas à maternidade a partir da prática clínica com crianças. Partimos das queixas relacionadas a alguns sintomas infantis que nos chegam para atendimento psicanalítico, para discutir o lugar da mãe na clínica de crianças. Levando em consideração que as mudanças sociohistóricas repercutem nas funções de cuidado dos filhos nas famílias, investigamos de que forma o aumento das possibilidades de destinos para as mulheres repercute nas experiências de maternidade nos dias de hoje. Utilizamos fragmentos de casos clínicos para ilustrar a discussão, evidenciando os desafios de envolver, sem culpabilizar, as mães nos atendimentos de criança.
Pontes na assistência social: a criação de um dispositivo de cuidado entre juventudes
Authors: Pinto Danielle Kepe de Souza , Imbrizi Jaquelina Maria
Published: January 2022

A preceptoria de estagiários do curso de psicologia no Sistema Único de Assistência Social é um desafio profissional, especialmente quando os estudantes são jovens universitários exercitando práticas de cuidado com crianças e adolescentes cujas famílias são usuárias do Centro de Referência de Assistência Social. O objetivo deste artigo é relatar, da perspectiva da preceptora, a experiência de estágio curricular pautada na escuta territorial da dimensão sociopolítica do sofrimento. A partir do convite aos participantes realizaram-se caminhadas pela cidade seguidas de discussões em grupo das quais emergiram questões sobre violência cotidiana, violações de direito e o desamparo discursivo dos sujeitos em situações sociais críticas. Nessas atividades foi possível criar um dispositivo de (auto)cuidado e provocar marcas na formação profissional com vistas à transformação social.
“O Tibet que eu contemplo”: Sonam Tsomo Chashutsang em três poemas
Authors: Diniz Telma Franco
Published: January 2022

Este artigo apresenta brevemente ao público brasileiro a jovem poeta tibetana Sonam Tsomo Chashutsang, por meio da tradução de três de seus poemas escritos originalmente em inglês. Além de discutir a tradução de termos culturamente marcados na língua de chegada, este artigo também reflete sobre a condição de exílio forçado e a resultante crise de identidade entre aqueles nascidos e criados no exílio.
“Todas as minhas ocupações”: Tradução de poesia visual de Chime Lama
Authors: Moraes Thiago Ponce de
Published: January 2022

O presente trabalho é uma tradução comentada de três poemas da artista multigênero tibetano-americana Chime Lama. Buscou-se abordar de maneira panorâmica alguns recursos poéticos reincidentes utilizados nesses três poemas, bem como apresentar dificuldades e soluções advindas desta prática tradutória.
escrita de protesto de Tenzin Tsundue – pelo Tibete livre
Authors: Wolkoff Gisele
Published: January 2022

As traduções que aqui apresentamos pretendem introduzir o poeta Tenzin Tsundue ao contexto de língua portuguesa, a partir de dois poemas significativos da experiência do exílio na Índia e da luta pelo Tibete independente, além do texto autobiográfico “My Mumbai Story”, “A Minha Estória de Mumbai”
Split distribution, biogeography and morphological and genetic diversity of the Iberobathynellini Tribe in the family Parabathynellidae (Crustacea, Malacostraca, Bathynellacea)
Authors: Camacho Ana Isabel , Mas-Peinado Paloma , López-Estrada E. Karen , Dorda Beatriz A. , Rey Isabel
Published: January 2022

The “Iberobathynella group”, or Iberobathynellini tribe, is a complex of six genera consisting of 33 nominal species and several cryptic species with an amphiatlantic distribution (in Europe, North Africa and North America). A modern systematic revision of this group of subterranean crustaceans is presented here. A phylogenetic and biogeographic study using morphological and molecular data (mitocondrial coi and nuclear 18S) was carried out and allowed to a) re-evaluate the taxonomic status and validity of previously erected subtribes, genera and subgenera that show congruence in the data; b) assess whether the identified mitochondrial lineages represent cryptic species; c) provide a plausible phylogenetic hypothesis for the relationships within Iberobathynellini and with the other two genera of the family Parabathynellidae that inhabit North America and Europe (Montanabathynella and Parabathynella, respectively); d) propose a plausible temporal and historical framework (paleobiogeographic scenario) for the diversification and evolution of the Iberobathynellini tribe based on the current distribution of morphotypes and their estimated times of divergence. Our results show that in parabathynellids, molecular and morphological divergences are not always congruent. Subtribe and subgenus are invalid categories so they must be eliminated. Paraiberobathynella genus needs to be revisited. The molecular dating results support the early divergence of the Iberobathynellini Tribe (Upper Cretaceous, around 78 Mya) and the vicariance by plate tectonics as main factor to explain the amphi-Atlantic distribution shown by this ancient subterranean crustacean group. Since there are species morphologically very similar to I. magna and I. imuniensis, but genetically different, we can ensure the existence of at least three cryptic species. Texanobathynella is undoubtedly a valid genus distinct from Iberobathynella. Montanabathynella and Parabathynella are two well-differentiated genera closely related to the Iberobathynellini tribe.
Termite coprolites (Blattodea: Isoptera) from the Early Cretaceous of eastern Inner Mongolia, Northeast China
Authors: DONG CHONG , SHI GONG-LE , WANG ZI-XI , HUANG DI-YING
Published: January 2022

Well-preserved coprolites (fossil faecal pellets) were found from lignite seams of the Lower Cretaceous Huolinhe Formation at the Huolinhe Basin in eastern Inner Mongolia, Northeast China. These coprolites provide a combination of following features: oval to cylindrical shaped with six longitudinal ridges, hexagonal to elliptical cross-sections, and one blunt end and the other pointed end. According to these distinct features and their size range, the producers of these coprolites are attributed to termites. Termites were estimated to have originated in the earliest Cretaceous with an evolutionary radiation in the Early Cretaceous. The presence of wood debris in the coprolites indicate that the Early Cretaceous termites from the Huolinhe Basin had wood-feeding habits; and anatomical features displaying on the wood debris further suggest their feeding preference was coniferous wood. Besides, the results of a k-means clustering analysis performed for these coprolites indicate that three clusters with different proportion were present, suggesting the division of labor in termites’ sociality existed as early as the Early Cretaceous.
Revision of the genus Homa Distant (Hemiptera: Cicadellidae: Typhlocybinae)
Authors: XU YE , WANG YI-MEI , DMITRIEV DMITRY A. , DIETRICH CHRISTOPHER H. , QIN DAO-ZHENG
Published: January 2022

The leafhopper genus Homa Distant is revised. Four new species, H. osificata Xu, Dietrich & Qin sp. nov., H. oretinia Xu, Dietrich & Qin sp. nov., H. asilata Xu, Dietrich & Qin sp. nov., and H. algulata Xu, Dietrich & Qin sp. nov., are described from Thailand. H. haematoptilus (Kirkaldy) is redescribed based on specimens from the Oriental Region. All included species are illustrated and a key is provided to separate species for which males are known.
Evaluation of GPROF V05 Precipitation Retrievals under Different Cloud Regimes
Authors: Tan Jackson , Cho Nayeong , Oreopoulos Lazaros , Kirstetter Pierre
Published: January 2022

Precipitation retrievals from passive microwave satellite observations form the basis of many widely used precipitation products, but the performance of the retrievals depends on numerous factors such as surface type and precipitation variability. Previous evaluation efforts have identified bias dependence on precipitation regime, which may reflect the influence on retrievals of recurring factors. In this study, the concept of a regime-based evaluation of precipitation from the Goddard Profiling (GPROF) algorithm is extended to cloud regimes. Specifically, GPROF V05 precipitation retrievals under four different cloud regimes are evaluated against ground radars over the United States. GPROF is generally able to accurately retrieve the precipitation associated with both organized convection and less organized storms, which collectively produce a substantial fraction of global precipitation. However, precipitation from stratocumulus systems is underestimated over land and overestimated over water. Similarly, precipitation associated with trade cumulus environments is underestimated over land, while biases over water depend on the sensor’s channel configuration. By extending the evaluation to more sensors and suppressed environments, these results complement insights previously obtained from precipitation regimes, thus demonstrating the potential of cloud regimes in categorizing the global atmosphere into discrete systems.
Severe Thoracic Vertebral Spine Injury as a Complication of Component of Cardiopulmonary Resuscitation
Authors: Heidorn Elise F. , Cortes Vicente , Ong Adrian
Published: January 2022

Chest compression has been a component of cardiopulmonary resuscitation (CPR) since 1960. Performance of high-quality CPR is critical for survival; however, chest compressions are traumatic and may result in injuries such as rib and sternal fractures. Spinal fractures have rarely been reported. We present a case of a 69-year-old male who suffered a cardiac arrest at home. He underwent 16 minutes of CPR with manual chest compressions, and no electrical shock and medications with return of spontaneous circulation (ROSC). Computed tomography scan showed unstable fracture of T9-T10. The patient was transferred to our Level I trauma center for continued post-arrest management and neurosurgical evaluation. An MRI confirmed the unstable spinal fracture which would have required surgical stabilization. The patient remained comatose, thus he was transitioned to comfort measures and expired. Spinal injuries following CPR are rare but should be considered in the post-arrest management stage. Computed tomography scan is the ideal screening modality.