bluuebunny/crossref_metadata_2025_split huggingface dataset:
Medical students’ attention in EFL class: roles of academic expectation stress and quality of sleep
Authors: Kao Po-Chi 
Published: December 2021

Abstract
This study proposed and tested a conceptual model of academic expectation stress, sleep quality, and attention in EFL class. These variables did not receive much attention in previous studies but are considered important to medical students’ attention in EFL class. Data were collected from 496 medical students from a medical university in Taiwan. Structural Equation Modeling (SEM) technique was used to examine the path effect in the research model. The results found that (1) higher academic expectation stress leads to higher attention in EFL class; (2) higher academic stress causes poorer sleep quality; (3) poorer sleep quality leads to lower attention in EFL class. A mediator was also identified in this model: sleep quality was found to partially mediate the relationship between academic expectation stress and attention in EFL class. The results may advance the current literature in medical education and applied linguistics by moving a step closer to understand these three variables.
The Queer Glow up of Hero-Sword Legacies in She-Ra, Korra, and Sailor Moon
Authors: Burgos Diana 
Published: December 2021

Abstract
The narratives within Sailor Moon Crystal, The Legend of Korra, and She-Ra and the Princesses of Power enlist gender fluid and queer protagonists to spearhead rebellions against the heteronormative domains of colonizers, imperialists, zealots, and hypercapitalistic military–industrial complexes. Magic is commodified by each villain; used to crown their exaggerated conquistador reputations and power their nuclear weapons. To defeat them and the toxic sociopolitical narratives and power paradigms they have spawned, Sailor Moon, Korra, Adora, and others must confront how these ideologies have stunted their power, corrupted their ethical systems, and distorted their understanding of their identities. By achieving self-actualization/self-acceptance and collaborating with their allies to do the same, they co-create new endings for themselves and reclaim a broader spectrum of gender and sexuality. Within the liminal moments of these reflective identity battles, protagonists and their allies enter a magical communal space, a social network for a Jungian collective unconscious. Here, they exchange their evolving powers, ideologies, and emotionally charged memories (her stories) and collaborate to liberate their communities. These champions, ambassadors of their (our) collective unconscious, urge us to commune within the liminal spaces of our social networks to self-actualize and collectively unearth a neohuman identity and system of governance.
Optimized routing with efficient energy transmission using Seline Trustworthy optimization for waste management in the smart cities
Authors: Roshan Rakesh , Rishi Om Prakash 
Published: December 2021

Abstract
Rapid development in technology provides an emerging growth based on innovation, invention, and diffusion, where the diffusion of resources stands with the proper disposal of wastes, due to the over-utilization of resources, growing population growth, and migration increases the accumulation of wastes especially, in Indian cities. Therefore, managing the wastes effectively is a raising challenge in the metropolitan cities of India, where the continuous monitoring of the wastes and disposal needs to be initiated. In this research, an internet-of-things-based smart waste management system in smart cities (IoT-SWMS) is focused on proposing an optimal path selection protocol that facilitates the continuous monitoring and disposal of wastes. The proposed optimal path selection protocol named Seline trustworthy optimization developed to determine the optimal routing path in IoT network renders the faster communication of the collected data regarding the level of the dustbins, which is disposed properly at the right time. The analysis of the proposed Seline trustworthy optimization-based IoT network for SWMS is performed based on the performance measures, such as delay, throughput, energy, and Packet Delivery Ratio (PDR) in comparison with the traditional methods. The proposed methodology yields the maximal PDR of 99%, a minimum delay of 0.11 s, and a maximal throughput of 38,400 kbps.
COVID-19 pandemic and potential of artificial intelligence
Authors: Bhonsale Aman , Ahirwar Ashok Kumar , Kaim Kirti , Kumari Jha Puja 
Published: December 2021

Abstract

Objective
To evaluate the potential of artificial intelligence in combating COVID-19 pandemic.

Methods
PubMed, Embase, Cochrane Library and Google Scholar were searched for the term “Artificial intelligence and COVID-19” up to March 31, 2021.

Results
Artificial intelligence (AI) is a potential tool to contain the current pandemic. AI can be used in many fields such as early detection and respective diagnosis, supervision of treatment, projection of cases and mortality, contact tracing of individuals, development of drugs and vaccines, reduces workload on health workers, prevention of disease, analysis of mental health of people amid pandemic.

Conclusions
AI is being updated and being improved, second by second to be able to interpret like actual human minds. This advancement in AI may lead to a completely different future of COVID-19 pandemic where most of the simpler works may be done by AI and only essential works could be done by health workers in order to increase patient care in current scenario of COVID-19 outbreak. But again one of the main constraint is of limited trustworthy and noise free sources of information. So the need for the hour is to make a free data system where most of the analysed data could be available to feed AI, which could effectively halt the current pandemic.
Synopsis of symptoms of COVID-19 during second wave of the pandemic in India
Authors: Kamble Prafull , Daulatabad Vandana , John Nitin , John Jyoti 
Published: December 2021

Abstract
COVID-19 was caused by the original coronavirus, severe acute respiratory syndrome associated coronavirus-2 (SARS CoV2), which originated in Wuhan, China. COVID-19 had a large breakout of cases in early 2020, resulting in an epidemic that turned into a pandemic. This quickly enveloped the global healthcare system. The principal testing method for COVID-19 detection, according to the WHO, is reverse transcription polymerase chain reaction (RT-PCR). Isolation of patients, quarantine, masking, social distancing, sanitizer use, and complete lockdown were all vital health-care procedures for everyone. With the ‘new normal’ and vaccination programmes, the number of cases and recovered patients began to rise months later. The easing of restrictions during the plateau phase resulted in a rebound of instances, which hit the people with more ferocity and vengeance towards the start of April 2021. Coronaviruses have evolved to cause respiratory, enteric, hepatic, and neurologic diseases, resulting in a wide range of diseases and symptoms such as fever, cough, myalgia or fatigue, shortness of breath, muscle ache, headache, sore throat, rhinorrhea, hemoptysis, chest pain, nausea, vomiting, diarrhoea, anosmia, and ageusia. Coronavirus infections can be mild, moderate, or severe in intensity. COVID-19 pulmonary dysfunction includes lung edoema, ground-glass opacities, surfactant depletion, and alveolar collapse. Patients who presented with gastrointestinal (GI) symptoms such as anorexia, nausea, vomiting, or diarrhoea had a higher risk of negative outcomes. COVID-19’s influence on cognitive function is one of COVID-19’s long-term effects. More clinical situations need to be reviewed by healthcare professionals so that an appropriate management protocol may be developed to reduce morbidity and death in future coming third/fourth wave cases.
Grid integration of hybrid renewable energy source using Aligned Multilevel Inverter
Authors: Nagaraju Motaparthi , Malligunta Kiran Kumar 
Published: December 2021

Abstract
Grid connected hybrid renewable energy sources (RES) are main challenges nowadays. Interconnecting of two or more RES is called hybrid system and battery is optional in this kind of systems where grid is in active. The normal inverters are unable to produce sinusoidal voltages and this will cause many problems in grid connected system. Hence, many topologies of multilevel inverters are proposed which can able to produce sinusoidal output voltage. However, the cost and operational complexity will increase due to increasing number of switches. In order to reduce total number of switches, an Aligned Multilevel Inverter (AMI) configuration of three phase is implemented in this paper. Wind energy-based electrical power generation system and solar energy based electrical power generation systems are considered for interconnection. Energy storage devices such as batteries are not incorporated to system since considered grid is in active mode. Maximum power point tracker (MPPT) devices are available to extract maximum power from photovoltaic arrays and wind turbines, hence a boost converter is considered as MPPT converter for wind turbine and proposed AMI also works as MPPT converter for PV by using proposed controller. Hence extra DC–DC converters are not essential for PV system for MPPT, resulting in reduction of overall system cost. Also, the modified invasive weed optimization (MIWO) based algorithm is proposed for PV system to harvest maximum energy under partial shading conditions. The proposed MIWO is compared with particle swarm optimization (PSO) and grey wolf optimization (GWO) to enhance the performance of proposed algorithm. Extensive results are validated with Hardware-in-Loop (HIL) designed on OPAL-RT platform.
A novel Confidential Consortium Blockchain framework for peer to peer energy trading
Authors: Pradhan Nihar Ranjan , Singh Akhilendra Pratap , Panda Kaibalya Prasad , Roy Diptendu Sinha 
Published: December 2021

Abstract
The vital dependence of peer to peer (P2P) energy trading frameworks on creative Internet of Things (IoT) has been making it more vulnerable against a wide scope of attacks and performance bottlenecks like low throughput, high latency, high CPU, memory use, etc. This hence compromises the energy exchanging information to store, share, oversee, and access. Blockchain innovation as a feasible solution, works with the rule of untrusted members. To alleviate this threat and performance issues, this paper presents a Blockchain based Confidential Consortium (CoCo) P2P energy trading system that works on the trust issues among the energy exchanging networks and limits performance parameters. It reduces the duplicate validation by creating a trusted network on nodes, where participants identities are known and controlled. A Java-script-based smart contract is sent over the Microsoft CoCo system with Proof of Elapsed Time (PoET) consensus protocol. Also, a functional model is designed for the proposed framework and the performance bench-marking has been done considering about latency, throughput, transaction rate control, success and fail transaction, CPU and memory usage, network traffic. Additionally, it is shown that PoET’s performance is superior to proof of work (PoW) for multi-hosting conditions. The measured throughput and latency moving toward database speeds with more flexible, business-specific confidentiality models, network policy management through distributed governance, support for non-deterministic transactions, and reduced energy consumption.
Experimental verification of DSTATCOM for various non-linear load
Authors: Shadangi Pushpanjali , Swain Sushree Diptimayee , Ray Pravat Kumar , Panda Gayadhar 
Published: December 2021

Abstract
This paper elaborates a hybrid synchronous reference frame method has been proposed for the distribution static compensator (DSTATCOM) to enhance the compensation performance. This controller is designed in such a way that it generate the reference with respect to the change in load to reject the harmonics. Furthermore, a hysteresis controller is employed for switching pattern generation. Fuzzy logic controller is also implemented in MATLAB/simulink environment here to analyze the total harmonic distortion. Experimental analysis of the DSTATCOM demonstrates the potency and reliability of proposed controller over existing control strategy in the from of total harmonic distortion.
General decay projective synchronization of memristive competitive neural networks via nonlinear controller
Authors: Sader Malika , Wang Fuyong , Liu Zhongxin , Chen Zengqiang 
Published: December 2021

Abstract
In this paper, the general decay projective synchronization of a class of memristive competitive neural networks with time delay is studied. Firstly, a nonlinear feedback controller is designed, which does not require any knowledge about the activation functions. Then, some new and applicable conditions dependent on the Lyapunov function and the inequality techniques are obtained to guarantee the general decay projective synchronization of the considered systems under the developed controller. Unlike other forms of synchronization, projective synchronization can improve communication security due to the scaling constant’s unpredictability. In addition, the polynomial synchronization, asymptotical synchronization, and exponential synchronization can be seen as the special cases of the general decay projective synchronization. Finally, a numerical example is given to demonstrate the effectiveness of the proposed control scheme.
Performance analysis of all optical 2 × 1 multiplexer in 2D photonic crystal structure
Authors: Askarian Asghar 
Published: December 2021

Abstract
In optical processing systems, multiplexer is used to design optical devices such as arithmetic logic unit (ALU) and shift register (SR). Through this paper, we investigate the application of nonlinear photonic crystal ring resonator (PhCRR) based on nonlinear Kerr effect for realizing an all optical 2 × 1 multiplexer. The structure consists of two PhCRRs and five optical waveguides using hexagonal lattice silicon (Si) rods with a background of air. Performance of all optical 2 × 1 multiplexer is replicated with the help of finite difference time domain (FDTD) procedure at a wavelength of 1571 nm, and simulations presented an ultra-compact optical structure with ultra-fast switching speed.
Increased frequency of idiopathic central precocious puberty in girls during the COVID-19 pandemic: preliminary results of a tertiary center study
Authors: Acar Sezer , Özkan Behzat 
Published: December 2021

Abstract

Objectives
Recent studies have demonstrated an increase in the frequency of idiopathic central precocious puberty (CPP) during the severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic. We compared the demographic, anthropometric, and clinical characteristics of idiopathic CPP patients diagnosed during a one-year period of the COVID-19 pandemic with the characteristics of patients diagnosed during the same period in the previous three-years.

Methods
Demographic, clinical, anthropometric, and laboratory data of all patients diagnosed in our Pediatric Endocrinology clinic with idiopathic CPP during a one-year period of the COVID-19 pandemic (April 2020–March 2021) and a three-year period before the pandemic (April 2017–March 2020) were evaluated retrospectively.

Results
A total of 124 patients (124 girls, zero boys) diagnosed with idiopathic CPP were included in this study. Sixty-six patients in the three-year period before the COVID-19 pandemic (April 2017–March 2020) and 58 patients (46.8%) in the one-year period during the COVID-19 pandemic period (April 2020–March 2021) were diagnosed with idiopathic CPP.

Conclusions
This study’s findings suggest that the number of girls diagnosed with idiopathic CPP during the one-year study period during the pandemic was more than double that of any of the previous three-years.
Umbilical artery pulsatility index and half-peak systolic velocity in second- and third-trimester fetuses with trisomy 18 and 13
Authors: Bustos Juan Carlos , Vega Denise , Sepulveda Waldo 
Published: December 2021

Abstract

Objectives
To analyze umbilical artery (UA) Doppler velocimetry and its possible role in placenta-mediated fetal growth restriction (FGR) in second- and third-trimester fetuses with trisomy 18 and 13.

Methods
UA pulsatility index (PI) and half-peak systolic velocity deceleration time (hPSV-DT) were measured in fetuses with trisomy 18 and 13. Correlation with gestational age, birthweight, and perinatal outcome was analyzed.

Results
A total of 80 measurements were taken from 33 fetuses with trisomy 18 and 19 with trisomy 13. Overall, there was a high prevalence of abnormal UA Doppler velocimetry. In fetuses with trisomy 18, 54% (27/50) of the UA PI values and 58% (29/50) of the UA hPSV-DT values were abnormal. In fetuses with trisomy 13, 80% (24/30) of the UA PI values and 87% (26/30) of the UA hPSV-DT values were abnormal. The prevalence of abnormal UA Doppler velocimetry increased with gestational age in both types of aneuploidy. However, this trend was only significant for trisomy 13 (p<0.05). All fetuses with trisomy 18 and 86% of fetuses with trisomy 13 were classified at birth as FGR. There were no perinatal survivors in this series.

Conclusions
A high prevalence of abnormal UA Doppler velocimetry was found in second- and third-trimester fetuses with trisomy 18 and 13, which further increased with gestational age. These results may well correlate with alterations described previously in the placenta, suggesting placental insufficiency has an important role in the development of FGR in these autosomal aneuploid fetuses.
The AMAR mechanism: nominal expressions in the Bantu languages are shaped by apposition and reintegration
Authors: Van de Velde Mark 
Published: December 2021

Abstract
Nominal expressions in the Bantu languages have extraordinary typological characteristics. Their word order patterns are extremely diverse and some of the attested patterns are crosslinguistically very rare, or even unique. The same diversity can be found in the number of agreement marker paradigms. Equally remarkable are the prosodic idiosyncrasies found at the level of nominal expressions, especially the existence of prosodic boundaries associated with certain types of adnominal modifiers. Although logically unrelated, I argue that these typological characteristics can be accounted for by a single diachronic scenario here called the AMAR mechanism: a double tendency in the Bantu languages for the emergence of construals in which a nominalized modifier is in apposition to the phrase that contains its semantic head and for such appositional construals to be gradually reintegrated into a single nominal constituent. This paper aims to summarize some of the more remarkable typological characteristics of nominal expressions in the Bantu languages and to lay out the AMAR mechanism as a hypothetical diachronic explanation for many of them.
Present state of 3D printing from glass
Authors: Hotař Vlastimil , Stará Marie , Máková Veronika , Nikendey Holubová Barbora 
Published: December 2021

Abstract
This paper deals with the issue of additive technologies using glass. At the beginning, our research dealt with a review of the current state and specification of potentially interesting methods and solutions. At present, this technology is being actively developed and studied in glass research. However, as the project started at the Department of Glass Producing Machines and Robotics, the following text will be more focused on the existing 3D printing machinery and basic technological approaches. Although “additive manufacturing” in the sense of adding materials has been used in glass manufacturing since the beginning of the production of glass by humans, the term additive manufacturing nowadays refers to 3D printing. Currently, there are several approaches to 3D printing of glass that have various outstanding advantages, but also several serious limitations. The resulting products very often have a high degree of shrinkage and rounding (after sintering), and specific shape structures (after the application in layers), but they generally have a large number of defects (especially bubbles or crystallization issues). Some technologies do not lead to the production of transparent glass and, therefore, its optical properties are significantly restricted. So far, the additive manufacturing of glass do not produce goods that are price competitive to goods produced by conventional glass-making technologies. If 3D glass printing is to be successful as an industrial and/or highly aesthetically valuable method, then it must bring new and otherwise unachievable features and properties, as with 3D printing of plastic, metal, or ceramics. Nowadays, these technologies promise to be such a tool and are beginning to attract more and more interest.
Perspective on advanced nanomaterials used for energy storage and conversion
Authors: Huang Hsuanyi , Li Rong , Li Cuixia , Zheng Feng , Ramirez Giovanni A. , Houf William , Zhen Qiang , Bashir Sajid , Liu Jingbo Louise 
Published: December 2021

Abstract
To drive the next ‘technical revolution’ towards commercialization, we must develop sustainable energy materials, procedures, and technologies. The demand for electrical energy is unlikely to diminish over the next 50 years, and how different countries engage in these challenges will shape future discourse. This perspective summarizes the technical aspects of nanomaterials’ design, evaluation, and uses. The applications include solid oxide fuel cells (SOFCs), solid oxide electrolysis cells (SOEC), microbial fuel cells (MFC), supercapacitors, and hydrogen evolution catalysts. This paper also described energy carriers such as ammonia which can be produced electrochemically using SOEC under ambient pressure and high temperature. The rise of electric vehicles has necessitated some form of onboard storage of fuel or charge. The fuels can be generated using an electrolyzer to convert water to hydrogen or nitrogen and steam to ammonia. The charge can be stored using a symmetrical supercapacitor composed of tertiary metal oxides with self-regulating properties to provide high energy and power density. A novel metal boride system was constructed to absorb microwave radiation under harsh conditions to enhance communication systems. These resources can lower the demand for petroleum carbon in portable power devices or replace higher fossil carbon in stationary power units. To improve the energy conversion and storage efficiency, we systematically optimized synthesis variables of nanomaterials using artificial neural network approaches. The structural characterization and electrochemical performance of the energy materials and devices provide guidelines to control new structures and related properties. Systemic study on energy materials and technology provides a feasible transition from traditional to sustainable energy platforms. This perspective mainly covers the area of green chemistry, evaluation, and applications of nanomaterials generated in our laboratory with brief literature comparison where appropriate. The conceptual and experimental innovations outlined in this perspective are neither complete nor authoritative but a snapshot of selecting technologies that can generate green power using nanomaterials.