bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolutionary Game Study on the Supervision Strategy in the Operation Phase of Green Public Buildings Based on System Dynamics Simulation
Authors: Qin Zhongfu , Wang Jian , Ji Chenyi 
Published: July 2022

Abstract
In the energy performance contracting (EPC) mode, an effective way to achieve green public buildings, the information asymmetry among stakeholders in the operation phase is critically adverse to the energy-saving effect of green public buildings. This paper constructs an evolutionary game model between energy users and energy-saving companies (ESCOs) in the operation phase of green public buildings under the premise of limited rationality. Vensim PLE software is used to build the corresponding simulation model to simulate the strategy evolution of players under different initial strategies. Typical scenarios with different government punishment, penalties from energy users, and opportunistic gains of ESCOs, respectively, are set up to conduct sensitivity analysis. The results show that dynamic alternation exists in the strategy evolution of players during the operation phase of green public buildings under the EPC mode, and it is influenced by the simulation period and players’ initial strategies. And the evolution in different typical scenarios is influenced by the aforementioned parameters with different significance. This study can provide a basis for the supervision strategy of ESCOs in the operation phase of green public buildings by local governments and energy users thus promoting the energy-saving operation of green public buildings for final carbon reduction.
Optimal scheduling method of integrated energy system in parks considering wind and solar energy consumption
Authors: Chen Linfeng , Wang Yi , Hu Rui , Xu Gang , Ma Shuang 
Published: July 2022

Abstract
Aiming at the problem that the renewable energy cannot be efficiently utilized and the energy consumption cost is high in the production process of the park with wind and solar energy, an integrated energy system (IES) for the park that takes into account the wind and solar energy consumption is proposed. Optimize the scheduling method. First, an output model of the park’s comprehensive energy system including wind-solar renewable energy was established, and biogas was used as the gas source. Then, considering a variety of energy constraints, and taking the lowest energy consumption cost and the highest wind and light absorption rate as the goal, the improved multi-objective particle swarm algorithm is used to optimize the solution. Finally, the proposed method is verified by taking an integrated energy system of a park as a practical example. The results show that the proposed optimal scheduling method can effectively reduce the daily operating cost of the park and improve the local consumption rate of renewable energy.
Numerical Study on Rolled Strip Pulse Forming Line with Combined Insulation Structure
Authors: Wang Junting , Zeng Fanzheng , Wei Jinhong , Cai Hao , Liu Zhaohua , Li Song , Yang Hanwu , Qian Baoliang 
Published: July 2022

Abstract
Rolled strip pulse forming line (RSPFL) with combined insulation structure can effectively increase the breakdown electric strength and energy storage density of pulse forming line by optimization of the edge field enhancement effect. In this paper, a combined insulation (which consists of polyimide and polyvinylidene fluoride films) based RSPFL is investigated theoretically and numerically. Firstly, parameters of the pulse forming line was designed theoretically. Secondly, the finite element software was employed to study the influence of insulation film combination and structural parameters on the electric field distribution and the transmission characteristics. The parameters are then optimized. Finally, combined insulation based RSPFL was successfully used as a single pulse forming line, and a 200 ns quasi-square pulse was obtained on a 2.5 Ω dummy load by simulation. The simulation shows that it has an energy storage density of approximately 19.57 J/L when the PFL is charged to 60 kV.
Optimization of aircraft remote power distribution unit placement using linear programming to decrease the wire weight
Authors: Wang Rui , Shi Fangyu 
Published: July 2022

Abstract
The modern large civil aircraft has the trend to utilize the remote distribution network. This paper presents an optimization concept for this distribution network to optimize remote power distribution unit placement in aircraft to decrease the wire weight. A model formulation has been created to minimize the total wire weight. The length of wire was calculated approximately by the different longitinal axis of center of gravity of wire ends. To solve the wiring weight reduction problem, the loads are selected to connect to specific remote power distribution unit which position is close, then model formulation has been transformed to the linear programming algorithm. In order to validate the concept a simulation model and different calculation case have been built. The calculation results show the method can decrease wires weight in remote power distribution system and has shown high benefits.
Performance Analysis of DC-DC converters for Solar PV fed Switched Reluctance motor for Electric Vehicle Applications
Authors: Mahalakshmi G , Kanthalakshmi S , Maharaja K 
Published: July 2022

Abstract
This paper describes the performance of a Solar PV-powered switched reluctance motor with low torque ripple in electric vehicle applications. The prominence of switched reluctance motors has become significant in the electric vehicle industry, because of its ineradicable characteristics like simple structure, absence of rotor windings, less maintenance and its self-starting capability. However, the limitation of SRM is its high torque ripple because of its nonlinear characteristics. The performance of a switched reluctance motor with various DC –DC converters is analysed in this work and the results are compared in terms of the speed of the motor and its torque ripple percentage. The switching time of the converter is controlled by the MPPT controller, which uses incremental conductance and the Integrator method. The converters presented in this work are the Boost converter and the Cuk converter. These two types of converters are designed in MATLAB software and their characteristics are analysed while supplying the switched reluctance motor. The suitability of the proposed system with the motor is analysed by simulation results. From the results, it is confirmed that the performance of the Solar PV fed Switched reluctance motor is improved in terms of speed and torque ripple by implementing this type of converter. Hence, it is suitable for electric vehicle applications, which require less torque ripple and mechanical vibrations.
Dust Cruster Application at Vale Oman Stockyard Area
Authors: Hussein Samer 
Published: July 2022

Abstract
The main objective of this paper is to share Vale Oman knowledge and experiences in dust control of bulky material handling in stockyard areas, where the piles of iron ore stocked for a certain period before use in the plant. Those piles are subjected to high wind speed which leads to generate dust emission. The new dust suppressant had been tested and evaluated through a Defused Dust Emission Monitoring Network (DDEMN), The dust suppressant solution sprayed on the stockpiles by using Vale stacker and reclaimer equipment forming a white-coloured crust that eliminate the wind effect on the iron ore piles and give clear visual indication for the inspectors or operators that the pile is fully covered. The results of Emission Rate from yard area after applying new dust cruster decreased around 75 % which preserve the environment and gain sustainable operation. This application of dust control can be compared with any other method used based on pros and cons and efficacy.
Implementation of facial mask detection and verification of vaccination certificate using Jetson Xavier kit
Authors: Dhandapani Ragavesh , Humaid Al-Ghafri Sara Marhoon 
Published: July 2022

Abstract
Computer Vision (CV) based object detection system is used for locating and recognizing objects of interest in the digital images or videos/live streams. In this work, real-time face mask detection and verification of vaccination certificates are implemented using a Jetson Xavier kit. Initially, live stream video is captured through a Universal Serial Bus (USB) High Definition (HD) video camera. Then, pre-processed using the standard Python CV library to grab a frame for further processing. Using Haar-Cascade Classifier and face encoding, recognition of the face from the frame is performed and labeled appropriately, then a pre-trained Deep Learning (DL) model is used to locate the target class (mask) on the frame. The Quick Response (QR) code embedded in the vaccination certificate is also analyzed from the frame. The beneficiary and vaccination details are obtained from the website of the concerned authority. Finally, the unique QR code with the relevant information is stored in the Jetson Xavier kit for detection and retrieval during the next instance. The system’s performance is verified and found to be good in terms of accuracy compared to other methods considered in this work. The implementation of this work will cater to the local community and help achieve the nation’s sustainable development goal.
Fully 3D printed high performance band-stop filters enabled by three-dimensional design
Authors: Rosker Eva S , Barako Michael T , Nguyen Evan , Radisic Vesna , Goorsky Mark S , Tice Jesse 
Published: July 2022

Abstract
Additive manufacturing enables the production of high performance radio frequency device components, but most printable materials are plagued by large losses that render them impractical for robust performance applications beyond rapid prototyping. Here, we demonstrate a set of fully three-dimensional (3D) printed band-stop filters fabricated by printing reactive silver ink onto three different additively manufactured resin substrates with varying dielectric properties. Each of the dielectric substrates were fabricated using stereolithography or digital light processing printing methods. By switching from a dielectric with tanδ = 0.06 to one with tanδ = 0.0073, we can decrease the total loss present in the structure by up to 2 dB. As enabled by 3D additive manufacturing, we also show that regardless of the dielectric material, moving from two-dimensional planar patterns to fully-3D topographies allows us to simultaneously widen the filter stopband by 2 GHz and theoretically increase signal rejection by up to 30 dB. This demonstration of a fully additively-manufactured, 3D band-stop filter that closely matches simulations represents a new class of device construction that was previously inaccessible using only 2- and 2.5-D manufacturing techniques.
A comprehensive protein design protocol to identify resistance mutations and signatures of adaptation in pathogens
Authors: Padhi Aditya K , Tripathi Timir 
Published: July 2022

AbstractMost pathogens mutate and evolve over time to escape immune and drug pressure. To achieve this, they alter specific hotspot residues in their intracellular proteins to render the targeted drug(s) ineffective and develop resistance. Such hotspot residues may be located as a cluster or uniformly as a signature of adaptation in a protein. Identifying the hotspots and signatures is extremely important to comprehensively understand the disease pathogenesis and rapidly develop next-generation therapeutics. As experimental methods are time-consuming and often cumbersome, there is a need to develop efficient computational protocols and adequately utilize them. To address this issue, we present a unique computational protein design protocol that identifies hotspot residues, resistance mutations and signatures of adaptation in a pathogen’s protein against a bound drug. Using the protocol, the binding affinity between the designed mutants and drug is computed quickly, which offers predictions for comparison with biophysical experiments. The applicability and accuracy of the protocol are shown using case studies of a few protein–drug complexes. As a validation, resistance mutations in severe acute respiratory syndrome coronavirus 2 main protease (Mpro) against narlaprevir (an inhibitor of hepatitis C NS3/4A serine protease) are identified. Notably, a detailed methodology and description of the working principles of the protocol are presented. In conclusion, our protocol will assist in providing a first-hand explanation of adaptation, hotspot-residue variations and surveillance of evolving resistance mutations in a pathogenic protein.
Peer Support Workers as Equal Team Members. A Case Study of Peer Support in Glasgow Housing First
Authors: Černá Eliška , Gojová Alice 
Published: July 2022

Abstract
The text investigates peer support in the Glasgow Housing First project. Housing First is considered a social innovation towards ending chronic homelessness. Peer support should be an integral part of this approach, but little is known about its role. The aim of this text is to analyse peer support in the project from the perspective of its team and service users. We carried out an instrumental case study. For data collection we used semi-structured and group interview, direct observation, and studied service users’ files. To analyse the data, we conducted thematic analysis. We found out that peer support workers are seen as equal team members. Peer support needs to be recognised in the organisation, job role defined, and an adequate salary secured. We also present challenges in the areas of personal boundaries, self-care, and fulfilment of formal job requirements, and therefore it is crucial to provide peer mentor’s position within the team. Peer support relates to the provision of healing relationship with hard engagers and service users’ led support. Together with using specific tools and community resources, peer support results in either graduation from Housing First, sustaining their tenancy as Housing First tenants, or less days in homelessness.
Pre-screening to guide coronary artery calcium scoring for early identification of high-risk individuals in the general population
Authors: Ties Daan , van der Ende Yldau M , Pundziute Gabija , van der Schouw Yvonne T , Bots Michiel L , Xia Congying , van Ooijen Peter M A , Pelgrim Gert Jan , Vliegenthart Rozemarijn , van der Harst Pim 
Published: July 2022

Abstract

Aims
To evaluate the ability of Systematic COronary Risk Estimation 2 (SCORE2) and other pre-screening methods to identify individuals with high coronary artery calcium score (CACS) in the general population.

Methods and results
Computed tomography-based CACS quantification was performed in 6530 individuals aged 45 years or older from the general population. Various pre-screening methods to guide referral for CACS were evaluated. Miss rates for high CACS (CACS ≥300 and ≥100) were evaluated for various pre-screening methods: moderate (≥5%) and high (≥10%) SCORE2 risk, any traditional coronary artery disease (CAD) risk factor, any Risk Or Benefit IN Screening for CArdiovascular Disease (ROBINSCA) risk factor, and moderately (&gt;3 mg/24 h) increased urine albumin excretion (UAE). Out of 6530 participants, 643 (9.8%) had CACS ≥300 and 1236 (18.9%) had CACS ≥100. For CACS ≥300 and CACS ≥100, miss rate was 32 and 41% for pre-screening by moderate (≥5%) SCORE2 risk and 81 and 87% for high (≥10%) SCORE2 risk, respectively. For CACS ≥300 and CACS ≥100, miss rate was 8 and 11% for pre-screening by at least one CAD risk factor, 24 and 25% for at least one ROBINSCA risk factor, and 67 and 67% for moderately increased UAE, respectively.

Conclusion
Many individuals with high CACS in the general population are left unidentified when only performing CACS in case of at least moderate (≥5%) SCORE2, which closely resembles current clinical practice. Less stringent pre-screening by presence of at least one CAD risk factor to guide CACS identifies more individuals with high CACS and could improve CAD prevention.
Monstruosité de l’héroïne: réécriture de
Médée
dans
Chanson douce
de Leïla Slimani
Authors: Franco David 
Published: July 2022

Abstract

Leïla Slimani’s
Chanson douce
draws an explicit parallel between its protagonist, Louise, a nanny who eventually kills the children she looks after, and the mythological figure of Medea, specifically Pierre Corneille’s version of the Princess of Colchis. This article argues that the analogy between Louise and Medea, rather than restricting Louise to being exclusively monstrous because of the infanticide, highlights the paradoxical dimension of her character. Her monstrosity, in fact, is inseparable from her heroism. We will call upon Aristotle’s principles of tragedy as well as Corneille’s own theoretical writings — in which the playwright himself explains that his Médée, while a criminal, remains admirable — to show how Louise is able to portray herself as a simultaneously laudable and blameable character by affirming her allegiance to a classical ideal of dignity. The dramaturgical approach of the article shines a new light on the protagonist of this controversial novel, winner of the 2016 Prix Goncourt.
A chromosome-level genome of the booklouse, Liposcelis brunnea, provides insight into louse evolution and environmental stress adaptation
Authors: Feng Shiqian , Opit George , Deng Wenxin , Stejskal Vaclav , Li Zhihong 
Published: July 2022

Abstract

Background
Booklice (psocids) in the genus Liposcelis (Psocoptera: Liposcelididae) are a group of important storage pests, found in libraries, grain storages, and food-processing facilities. Booklice are able to survive under heat treatment and typically possess high resistance to common fumigant insecticides, hence posing a threat to storage security worldwide.

Results
We assembled the genome of the booklouse, L. brunnea, the first genome reported in Psocoptera, using PacBio long-read sequencing, Illumina sequencing, and chromatin conformation capture (Hi-C) methods. After assembly, polishing, haplotype purging, and Hi-C scaffolding, we obtained 9 linkage groups (174.1 Mb in total) ranging from 12.1 Mb to 27.6 Mb (N50: 19.7 Mb), with the BUSCO completeness at 98.9%. In total, 15,543 genes were predicted by the Maker pipeline. Gene family analyses indicated the sensing-related gene families (OBP and OR) and the resistance-related gene families (ABC, EST, GST, UGT, and P450) expanded significantly in L. brunnea compared with those of their closest relatives (2 parasitic lice). Based on transcriptomic analysis, we found that the CYP4 subfamily from the P450 gene family functioned during phosphine fumigation; HSP genes, particularly those from the HSP70 subfamily, were upregulated significantly under high temperatures.

Conclusions
We present a chromosome-level genome assembly of L. brunnea, the first genome reported for the order Psocoptera. Our analyses provide new insights into the gene family evolution of the louse clade and the transcriptomic responses of booklice to environmental stresses.
Jejunojejunal intussusception in an adult due to adenoma: a case report
Authors: Subedi Krishna P , Timilsina Shashank , Yadav Krishna Kumar , Shrestha Suraj , Kansakar Prasan B S 
Published: July 2022

Abstract
Intussusception is a rare condition in adults and presents a diagnostic challenge. Clinical presentation tends to be chronic and non-specific. Unlike the pediatric population, most adult intussusceptions have structural lesions as lead points. Here, we present a case of jejunojejunal intussusception in a 27-year female due to adenoma of small bowel.
Mesenchymal Stromal Cell Mitochondrial Transfer as a Cell Rescue Strategy in Regenerative Medicine: A Review of Evidence in Preclinical Models
Authors: Tan Yu Ling , Eng Sue Ping , Hafez Pezhman , Abdul Karim Norwahidah , Law Jia Xian , Ng Min Hwei 
Published: July 2022

Abstract
Mesenchymal stromal cells (MSC) have excellent clinical potential and numerous properties that ease its clinical translation. Mitochondria play a crucial role in energy metabolism, essential for cellular activities, such as proliferation, differentiation, and migration. However, mitochondrial dysfunction can occur due to diseases and pathological conditions. Research on mitochondrial transfer from MSCs to recipient cells has gained prominence. Numerous studies have demonstrated that mitochondrial transfer led to increased adenosine triphosphate (ATP) production, recovered mitochondrial bioenergetics, and rescued injured cells from apoptosis. However, the complex mechanisms that lead to mitochondrial transfer from healthy MSCs to damaged cells remain under investigation, and the factors contributing to mitochondrial bioenergetics recovery in recipient cells remain largely ambiguous. Therefore, this review demonstrates an overview of recent findings in preclinical studies reporting MSC mitochondrial transfer, comprised of information on cell sources, recipient cells, dosage, route of administration, mechanism of transfer, pathological conditions, and therapeutic effects. Further to the above, this research discusses the potential challenges of this therapy in its clinical settings and suggestions to overcome its challenges.
Nurse Faculty Administrators’ Experiences of Communication, Cooperation, Coordination, and Collaboration During Educational Disruption
Authors: Krouse Anne M. , McLaughlin Kristen A. , Rossi Rose , Powell Mary , Black-Dorn Wendy , Mariani Bette , Patterson Barbara J. 
Published: July 2022

Abstract

AIM
The primary purposes of the study were to describe nurse faculty administrators’ experiences of rapid transition and disruption in nursing education during the COVID-19 pandemic.

BACKGROUND
The disruption and shift to remote learning for nursing education programs posed challenges for these administrators.

METHOD
A descriptive survey methodology with a convenience sample was used with the Four Cs of Disaster Partnering framework.

RESULTS
The findings revealed that key elements of the Four Cs framework played a role in the successful adaptation to new learning environment realities. Time was an overarching finding. Connectedness with faculty, staff, and students was a significant challenge.

CONCLUSION
The application of the Four Cs of Disaster Partnering framework demonstrated utility for examining academic nurse administrators’ preparedness.