bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact assessment of simultaneous operation of photovoltaic and cogeneration power plants on industrial distribution system
Authors: Koti Reddy B. , Singh Amit Kumar
Published: November 2021

Industries with co-generation plants face unprecedented problems due to penetration of renewable energy systems such as solar power on their existing distribution networks. These problems are caused by intermittent solar power. To this end, this paper provides a detailed investigation of the effects due to sudden changes in solar power on an existing industrial distribution network connected to co-generation plants. Moreover, the case studies in this work consider simultaneous operation of a large industry having co-generation captive power plant and large scale solar photovoltaic power plant. The real-time field data for the past three years are used to check the performance of solar photovoltaic power plant, load management, power quality and other concerning issues on the distribution network. In addition to the real-time data, the simulations were performed for the solar power output under different solar irradiance conditions. Moreover, these simulations are used to assess photovoltaic integration effects on a distribution system having a co-generation captive power plant. Finally, this paper put forward photovoltaic integration guidelines to industries and policymakers interested to carry out the integration studies in the future.
Artificial neural network vector controlled common high-side switch asymmetric converter fed switched reluctance motor drive
Authors: Kolluru Ashok Kumar , Kumar Malligunta Kiran
Published: November 2021

The best alternative machine for synchronous and induction machine is switched reluctance machine for various applications. An artificial neural network (ANN) based vector controller is implemented for novel converter to drive switched reluctance motor (SRM) in this paper. To reduce the cost and simplified the controller an effective configuration of converter is proposed with only 4 pulse-withmodulation (PWM) based switches. The 6 pole stator and 4 pole rotor machine is considered in this paper to present results based on MATLAB. The ripples in torque are reduced by proposing vector controller by using novel configuration of converter. Generally SRM machines are having high ripples in torque, hence less number of switches will be feasible solution to drive the machine in order to reduce ripples. The proposed controller can also help to operate system with less ripples in torque since the controller having both torque and flux hysteresis controllers. The extensive results are presented on Simulink platform to validate the proposed method under both steady state as well as transient conditions.
Design a multi-motion bed to help the Elderly people and sick
Authors: Ali Nisreen Kareem , Abdulateef Mustafa Yaseen , Ali Mohammed Hasan
Published: November 2021

Most mishaps happening at clinical foundations treating older patients with portability hindrance are bedsores and slip-and-fall accidents. One reason for this high pace of mishaps is the absence of nursing faculty. So as to help parental figures in nursing old patients who are unable to move freely, we offer an arrangement and implementation of a wise bed in this work. This is the bed. Under the sheet material spread, a couple of weight sensors are passed to consider the two social orders' regular actual characteristics as well as the specific body portions where bedsores commonly arise. The body zone is divided into three vertical territories and three level zones to cope with the weight ulcer territory and prevent falls. Each microcontroller unit is in charge of monitoring pressure-differentiating data in one of the bodily regions separated on a level plane. In this review, a consistent weight distinguishing figure is offered that is useful for predicting the anticipated outcomes of bedsores and falling setbacks by taking into account both the strength and the length of weight of unambiguous body parts. Our preliminary findings reveal that a model magnificent bed serves a pair of human models of varied heights and burdens admirably.
Crown closure segmentation on wetland lowland forest using the mean shift algorithm
Authors: Iskandar Beni , Jaya I Nengah Surati , Saleh Muhammad Buce
Published: November 2021

The availability of high and very high-resolution imagery is helpful for forest inventory, particularly to measure the stand variables such as canopy dimensions, canopy density, and crown closure. This paper describes the examination of mean shift (MS) algorithm on wetland lowland forest. The study objective was to find the optimal parameters for crown closure segmentation Pleiades-1B and SPOT-6 imageries. The study shows that the segmentation of crown closure with the red band of Pleiades-1B image would be well segmented by using the parameter combination of (hs: 6, hr: 5, M: 33) having overall accuracy of 88.93% and Kappa accuracy of 73.76%, while the red, green, blue (RGB) composite of SPOT-6 image, the optimal parameter combination was (hs:2, hr: 8, M: 11), having overall accuracy of 85.72% and kappa accuracy of 68.33%. The Pleiades-1B image with a spatial resolution of (0.5 m) provides better accuracy than SPOT-5 of (1.5 m) spatial resolution. The differences between single spectral, synthetic, and RGB does not significantly affect the accuracy of segmentation. The study concluded that the segmentation of high and very high-resolution images gives promising results on forest inventory.
ELLIOTT, John Huxtable. Scots and Catalans: Union and Disunion. New Haven: Yale University Press, 2018. 360 p.
Authors: Gandolfo Alberto Airton Amendola
Published: November 2021

Resenha do livro ELLIOTT, John Huxtable. Scots and Catalans: Union and Disunion. New Haven: Yale University Press, 2018. 360 p.
Comunicação política e diplomática no reinado de D. João III: redes de informação e estratégias de manutenção de segredos
Authors: Barroso Raphael Henrique Dias
Published: November 2021

Neste trabalho, analisaremos as diferentes práticas de transmissão de informações entre a Coroa portuguesa e os embaixadores na Europa, durante o reinado de D. João III (1521-1557). Em primeiro momento, buscaremos investigar as instruções para o envio da correspondência, as informações que circulavam e as rotas de transporte. Em seguida, a fim de compreender as estratégias de manutenção de segredos, apontaremos o uso de variadas práticas de escrita, silêncio, ocultamento de informações e criptografia das mensagens. Por fim, sem a pretensão de esgotar o tema, concluímos que a expansão do quadro de diplomatas esteve ligada à modernização dos transportes, ao aprofundamento das conexões entre as cortes e à alta demanda de informações.
Cross-Border Surrogacy Before the European Court of Human Rights: Analysis of Valdís Fjölnisdóttir And Others v Iceland
Authors: Bracken Lydia
Published: November 2021

The recent case of Valdís Fjölnisdóttir and Others v Iceland adds to the emerging ECtHR jurisprudence on cross-border surrogacy. It reinforces principles established in previous cases and, in doing so, clarifies the scope of the child’s rights under Article 8 ECHR, and hence clarifies the scope of the obligations placed on Member States in cases of cross-border surrogacy. At the same time, consideration of Valdís Fjölnisdóttir reveals significant omissions in the approach adopted by the ECtHR as regards consideration of the rights of the child. In this way, aspects of Valdís Fjölnisdóttir confuse, rather than clarify, the scope of the child’s Article 8 ECHR rights in cases of cross-border surrogacy. This article examines the Valdís Fjölnisdóttir judgment with a view to identifying emerging principles, as well as contradictions, in the developing body of jurisprudence relating to cross-border surrogacy.
Actinobacteria Mediated Nanoparticles: A Pioneering Technology for Agriculture
Authors: Rani Kavita , Kaur Harpreet , Wati Leela
Published: November 2021

The induction of nanotechnology prevails against several issues threatening healthiness of plants and presents a powerful mean to defeat food crisis in a world of oversized inhabitants. Nanotechnology contributes numerous gadgets and constituents as nanostructures such as nano herbicides,
pesticides, fertilizers and biosensors which play momentous roles in killing/suppression of weeds and pests, ingenious supply of nutrients and nourishing substances in soils. Actinobacteria, a class of microorganisms is known for production of antibiotics, growth promoting substances, hydrolytic
enzymes and volatile compounds. Actinobacterial assisted synthesis of nanoparticles symbolizes an attractive technique as compared to traditional physico-chemical means as synthesis can be accomplished in assistance with bioremediation processes and can also diminish the utilization or manufacturing
of hazardous matters having harmful effects on mankind and ecosystem as well. Therefore, this pioneering technology could carry out liable functions in agriculture by increasing food productivity in lucrative and environmental secured manner and could transfigure the agriculture system through
employment of its tenets in adept ways.
In Vitro Antifungal and Antibacterial Effects of Biosynthesized Zinc Oxide Nanoparticles Against Selected Pathogenic and Non-Pathogenic Strains
Authors: Prexha  , Grewal Sapna , Promila  , Kumari Santosh , Goel Sonia
Published: November 2021

We have developed a simple, robust environment-friendly and efficient method for ZnO nanoparticles biosynthesis using Dalbergia sissoo fresh leaf extract. Before using these nanoparticles for antimicrobial assay, a detailed characterization was performed using techniques like
Ultraviolet/Visible (UV/Vis) spectroscopy, Particle size analysis (PSA), Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), atomic force microscopy (AFM),Transmission electron microscopy (TEM) etc. The average size of biosynthesized ZnO nanoparticles was around 30 nm
and they were pure and crystalline by nature. The effectiveness of these biosynthesized nanoparticles were checked against both pathogenic and non-pathogenic microbes. A total of eight bacterial strains-Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa, Klebsilla pneumoniae, Staphylococcus
aureus, Streptococcus entericus, Bacillus cereus, Pantoea cypripedii and three fungal strains-Candida albicans, Aspergilus niger and Aspergilus flavus were studied to have a clear view of the spectrum of ZnO nanoparticles anti-microbial activity. The effectiveness of biosynthesized
ZnO nanoparticles against the microbes was found to be better than the standard reference antibiotics used (streptomycin, chloramphenicol and rifampicin). The results seem to be very promising and can be used for some practical applications of ZnO nanoparticles in nearfuture.
Applications of Nanotechnology in Forest Management
Authors: Singh Dharmendra , Arya Sandeep , Gupta Barkha , Kaushik Dimple , Arya V. S. , Priyanka  , Kumar Upendra , Singh Karmal
Published: November 2021

Relatively a new branch of technology, Nanotechnology has been found effective and applicable in various scientific disciplines. Its effectiveness has attracted many researchers to use it for solving various issues related to the natural resource management. Lots of studies have been
carried out so far and published related to the applications of nanotechnology in climate science, forestry, agro-ecosystem, medical science and industrial sectors. Solving climate change issues in forestry sector, development of new nanomaterials for the management of forests from risks like
drought, flood, salinity, fire, invasion, pathogen etc., water resource management in forest system, increasing energy efficiency of forests, improved forest produce, applications in forest based paper industries and other potential domains and its application has been reviewed in this paper
along with some of frequently used nanomaterials, generally used or have potential to be used. Some industries currently using this technology are also enlisted. It was concluded that the nanotechnology has significant scope in the field of forestry as an enabling technology yet the future
directions and requirements of applying nanotechnology in forestry sector are still in budding stage especially in India and may be applied at large scale by facilitating technical and legal institutions, large R&D grants and research collaborations.
Plant-Mediated Green Synthesis of Zinc Oxide Nanoparticles Using Peel Extract of Citrus reticulate for Boosting Seed Germination of Brassica nigra Seeds
Authors: Rafique Muhammad , Sohaib Muhammad , Tahir Rabbia , Bilal Tahir M. , Rizwan M.
Published: November 2021

High demand of food for rapidly increasing population requires novel but ecofriendly fertilizers. Green reducing and capping agents are being explored to minimize production cost and toxicity of chemicals in synthesis of nanoparticles (NPs) which could be used to increase the production
of crops and plants. In present research, Zinc Oxide Nanoparticles (ZnO NPs) are produced by employing an eco-friendly, simple and efficient green route using peel extract of Citrus reticulate. The optical properties of green synthesized ZnO NPs are explored by UV-Visible and Photoluminance
spectroscopies where NPs presented 3.21 to 3.13 eV band gap. The morphology and purity of the ZnO NPs are analyzed by scanning electron microscopy (SEM), X-ray diffraction technique (XRD) and energy dispersive X-ray spectroscopy (EDX), respectively. The spherical like ZnO NPs having 23–90
nm size exhibited hexagonal structure with 8.89 to 8.62 nm crystallite size. Fourier transform infrared spectroscopy (FTIR) explores the existence of specific functional groups which are responsible for stabilization, capping and reduction during synthesis of nanoparticles. The green synthesized
ZnO NPs are tested for seed germination of Brassica nigra (black mustard) seeds at standard temperature and pressure. The activity shows that germination percentage of the Brassica nigra seeds is enhanced 100% and seedling vigor index 16.45 after treatment with ZnO NPs and can
be controlled by the concentration of NPs. Therefore, it can be expected that ZnO NPs can serve as the cost effective and ecofriendly nano-fertilizers in agriculture.
Capturing of Magnetic Nanoparticles in a Fluidic Channel for Magnetic Drug Targeting
Authors: Sharma Shashi , Ram Paras
Published: November 2021

In this work, the capturing of magnetic nanoparticles has been explored through a mathematical model and in-vitro study in a cylindrical tube under the influence of an applied magnetic field. In the formulation of the model, the dominant magnetization and drag forces are included
that extensively affect the capturing of magnetic nanoparticles. Model results indicates that the value of capture efficiency (CE) improves 23 to 51% for the magnetic field 0.1 to 0.5 T, respectively. It is further noticed through in-vitro experimental results that capturing of magnetic
particles increases by the external magnetic field, applied through an electromagnet at the centre of the cylindrical tube. The experimental value of capture efficiency is calculated via the analysis of the captured images of the particles and Atomic Absorption Spectroscopy (AAS) data. The
in-vitro experimental and model results are compared, which demonstrates good agreement and consequently validates the mathematical model.
Investigations on Structural, Optical Properties, Electrical Properties and Electrochemical Stability Window of the Reduced Graphene Oxides Incorporated Blend Polymer Nanocomposite Films
Authors: Sadiq Mohd , Moeen Hasan Raza Mohammad , Zulfequar Mohammad , Ali Javid
Published: November 2021

The incorporation of reduced Graphene oxides (rGO) as a nanofiller in the blend polymer nanocomposite (BPNC) based on Polyvinylpyrrolidone (PVP)-Polyvinylalcohol (PVA) and sodium bicarbonate (NaHCO3) are presented. The blend polymer electrolytes films are prepared by the
standard solution cast technique, and it is characterized to investigate the structural, morphological, thermal, optical and electrochemical property. The X-ray diffraction confirms the formation of polymer nanocomposite and is agreed with FESEM analysis. The FTIR confirms the presence of
various interactions between the polymer, salt and rGO, and indicates the composite formation. The DSC examines the thermal property of the blend polymer nanocomposite electrolytes system. The bandgap energy has been obtained from the UV-spectroscopy and examines the direct and indirect gap,
both offer the decreases bandgap with the addition of a higher concentration of rGO as nanofillers. The highest value of ionic conductivity of the film is obtained ~1.39×10−6 S cm−1 at 15 wt.% of rGO content in polymer blend nanocomposite (BPNC) films.
For these BPNC films, the electrochemical stability window (ESW) is ~4.0 V at 25 wt.% of rGO content and ionic transport number (tion) is ~0.98, for 10 wt.% of rGO content at the room temperature. These highly stable blend polymer nanocomposite electrolyte films offer the
excellent properties for utilized as a separator for solid-state devices e.g., battery, supercapacitors, electrochromic display devices and other electrochemical energy storage/ conversion devices respectively.
Exploring Nanotechnological Detection Background of Heat Shock Proteins (HSPs) in Coral Acropora muricata
Authors: Han Tingyu , Li Yixin , Chen J.-Y. , He Chunpeng , Lu Zuhong
Published: November 2021

Coral reefs are cornerstone of global marine ecosystems, providing shelter for over one third of marine organisms. Currently, along with global warming and increased human activities, large-scale decline of coral reefs has become a severe ecosystem problem, and now quantitative detection
of heat shock protein (HSP) gene by nanotechnology has become a research hotspot in this field. However, Acropora muricata is one of the most important dominant reef-building corals in Indo- Pacific region, encounter an urgent obstacle on the HSP detection research by nanoscience and
nanotechnology for lack of sequence background. Here, we combined PacBio single molecular real-time (SMRT) and HiSeq X Ten sequencing technologies to perform full-length transcriptome sequencing of heat shock proteins in Acropora muricata, a reef-building coral dominant in many Indo-Pacific
reefs, to annotate them. Thirteen functional heat shock proteins (HSPs) were identified using phylogenetic analysis, classified into three subgroups as HSP60, HSP70 and HSP90. HSPs are widely distributed in all animal phyla, having evolved from the last prokaryotic common ancestor. Additionally,
phylogenetic and tertiary nanostructure analyses suggested that HSP70 is the most diverse HSP in A. muricata, with extensive sequence and structure differences indicating adaptations to warming water and suggesting its utility in studies of El Niño and other warming events. A
greater understanding of the HSP gene family is likely to also be of value in studies of coral nanotechnological detection that can be used to protect reef ecosystems.
Low Temperature Ferromagnetic Behavior of Graphene Oxide (GO) and Molybdenum Disulphide (MoS2) Hybrid Nanocomposite
Authors: Sarma Sweety , Chandra Ray Sekhar
Published: November 2021

GO:MoS2 nanoparticle (NP) hybrid nanocomposite is prepared and studied structural, electronic and magnetic properties using X-ray diffraction, field emission scanning electron microscopy, Raman spectroscopy, X-ray photoelectron spectroscopy and superconducting quantum-interface-device
measurements. MoS2-NP exhibited diamagnetic characteristic but GO:MoS2-NP hybrid nanocomposite exhibited low temperature ferromagnetic characteristics. Field cooling and Zero field cooling characteristic exhibited divergence below ~280 K with increasing magnetic field.
The saturation magnetic moment and coercivity of GO:MoS2-NP hybrid nanocomposite is higher than GO that could be useful for low temperature magneticities and energy storage device application.
A Compact Sensory Platform Based pH Sensor Using Graphene Field Effect Transistor
Authors: Kumar Manoharan Arun , Jayavel Ramasamy , Shanmugam Mahalingam , Sengottaiyan Chinnasamy , Chinnathambi Shanmugavel , Mohankumar Nagarajan
Published: November 2021

A compact sensory platform has been fabricated using a graphene field effect transistor (GFET) to identify the biomolecules by pH sensing. The monolayer GFET is driven by an in-built top-gate for detecting the pH of the contacting buffer solution. The GFET device detects the effect
of hydroxide ions on a graphite surface. Electrical characteristics of the device were measured after desiccating the buffer solution on the surface of the monolayer graphene. Electrically, the VDirac point shifted toward the positive direction when the pH value of the buffer
solution is varied. The transfer curve of the device also moved in the positive direction with increasing pH values, indicating charge transfer from dopant molecules to the surface of graphene. The sensitivity of the device was estimated to be ~48.5 mV/pH. The fabrication of the compact GFET
device with an in-built gate provides a platform for effective pH sensing with a user-friendly interface for biosensing applications.
Eigenfunction expansion method for peristaltic flow of hybrid nanofluid flow having single-walled carbon nanotube and multi-walled carbon nanotube in a wavy rectangular duct
Authors: Nadeem Sohail , Qadeer Sabahat , Akhtar Salman , El Shafey Asmaa Mohamed , Issakhov Alibek
Published: November 2021

In this study, “peristaltic transport of hybrid nanofluid” inside a rectangular duct is examined. Water (base fluid) is used with two types of nanoparticles, namely, single-walled carbon nanotube (SWCNT) and multi-walled carbon nanotube (MWCNT). The viscous dissipation effect comes out as the prime heat generation source as compared to the conduction of molecules. After using some suitable dimensionless quantities, we obtained the nonlinear partial differential equations in a coupled form which are then solved exactly by the Eigenfunction expansion method. Velocity distribution, pressure gradient, and pressure rise phenomena are also discussed graphically through effective physical parameters. The heat transfer rate is high for the phase flow (single-walled carbon nanotube/water) model as compared to the hybrid (single-walled carbon nanotube  +  multi-walled carbon nanotube/water) model due to the enhanced thermal conductivity of the hybrid model.
Exploring the School-Based Support for Youths Who Head Households in Limpopo Province, South Africa
Authors: Maila Kodi Sannie , Mabasa Layane Thomas
Published: November 2021

The article focuses on the school-based support that youths who are heading households get from public schools in South Africa. It is based on the study that was conducted focusing on the extent to which schools support youths who head households. The study adopted the qualitative research methodological approach where three methods were used to construct data. The three methods used are observation, semi structured interviews and documents. Eight children from four public schools were selected as participants in the study. Data constructed was analyzed by using the Thematic Content Analysis approach. The findings reveal that youths who head households are faced with challenges that include among others, economic constraints, lack of resources, and humiliation. Furthermore, they do not get the necessary support from schools. The article argues that lack of support by schools adds to the challenges that children are confronted with in their daily struggle for survival.
Forecasting Daily Tourism Demand for Tourist Attractions with Big Data: An Ensemble Deep Learning Method
Authors: Bi Jian-Wu , Li Chunxiao , Xu Hong , Li Hui
Published: November 2021

Accurate forecasting of daily tourism demand is a meaningful and challenging task, but studies on this issue are scarce. To address this issue, multisource time series data, relating to past tourist volumes, web search information, daily weather conditions, and the dates of public holidays, are selected as the forecasting variables. To fully capture the relationship between these forecasting variables and actual tourism demand automatically, an ensemble of long short-term memory (LSTM) networks is proposed with a correlation-based predictor selection (CPS) algorithm. The effectiveness of the proposed method is verified in daily tourism demand forecasting for the Huangshan Mountain Area, benchmarked against 11 forecasting methods. This study contributes to the literature by (1) introducing the use of big data in daily tourism demand forecasting, (2) proposing an ensemble of LSTM networks for daily tourism demand forecasting, and (3) providing an effective predictor selection algorithm in ensemble learning.
Co-creation: A New Pathway for Solving Dysfunctionalities in Governance Systems?
Authors: Bentzen Tina Øllgaard
Published: November 2021

Although governance systems play a crucial role in securing an accountable public sector, they can grow overly resource demanding, cause problematic distortion of welfare tasks and crowd out motivation among employees. This study contributes to existing literature by conceptualizing co-creation as a pathway for solving dysfunctionalities in governance systems and explores the prospects of such an approach. Based on a case study of the development of a municipal supervision system, the study outlines the characteristics of co-creating governance systems. The results points to co-creation as a promising, although resource demanding, pathway for finding robust solutions to dysfunctionalities in governance systems.
Collectivized Discretion: Seeking Explanations for Decreased Asylum Recognition Rates in Finland After Europe's 2015 “Refugee Crisis”
Authors: Vanto Johanna , Saarikkomäki Elsa , Alvesalo-Kuusi Anne , Lepinkäinen Nea , Pirjatanniemi Elina , Lavapuro Juha
Published: November 2021

In 2015, during the so-called “refugee crisis” in Europe, Finland was among the European countries receiving exceptionally large numbers of asylum applications. As the volume of asylum applications surged, however, the percentage of positive asylum decisions in Finland declined substantially. In this article, we explore reasons for this dramatic drop in recognitions rates and examine Finnish immigration control authorities’ use of discretion in asylum credibility assessment. Our approach is unique in its application of mixed methods to examine asylum decisions in pre- and post-crisis situations. We found that asylum caseworkers’ inconsistent assessment of similar facts and lack of faith in the veracity of applicants’ claims were essential to the mass denial of young Iraqi asylum applicants in Finland. This finding is important because it illustrates how asylum officers are able to “shift the border,” or generate a shift in asylum decision-making on a grand scale, without meaningful changes in law. Asylum officers, we show, are able to bring about such a shift via what we call collectivized discretion, or large-scale use of discretion, in asylum status determinations to control migration. Prior research on discretion in asylum decision-making highlights the individual decision-maker. This article expands discretion research by offering new insights on large-scale, collective discretionary shifts in the application of asylum law. We conclude that it is crucial that asylum status determinations be anchored in the individual assessment of each applicant's case, as collectivized discretion can lead to arbitrary results in the application of asylum law, potentially forcing those in need of refugee protection to face deportation.
The Philosophy of Bitcoin and the Question of Money
Authors: Butler Simon
Published: November 2021

Money has been a polarising and unresolved socio-economic issue for more than 300 years. In this article, we explore how the state became increasingly involved in money and, through the words of prominent monetary theorists, identify the problem of the state in money. We analyse Bitcoin to see if it is a solution to this problem but move on to contend that the political dimension needs to be the focus of theory in the 21st century and that control of the supply of money, and the power that it gives, is the root of contention.
How diverse are the samples used to study intimate relationships? A systematic review
Authors: Williamson Hannah C. , Bornstein Jerica X. , Cantu Veronica , Ciftci Oyku , Farnish Krystan A. , Schouweiler Megan T.
Published: November 2021

The social and behavioral sciences have long suffered from a lack of diversity in the samples used to study a broad array of phenomena. In an attempt to move toward a more contextually-informed approach, multiple subfields have undertaken meta-science studies of the diversity and inclusion of underrepresented groups in their body of literature. The current study is a systematic review of the field of relationship science aimed at examining the state of diversity and inclusion in this field. Relationship-focused papers published in five top relationship science journals from 2014 to 2018 ( N = 559 articles, containing 771 unique studies) were reviewed. Studies were coded for research methods (e.g., sample source, dyadic data, observational data, and experimental design) and sample characteristics (e.g., age, education, income, race/ethnicity, and sexual orientation). Results indicate that the modal participant in a study of romantic relationships is 30 years old, White, American, middle-class, college educated, and involved in a different-sex, same-race relationship. Additionally, only 74 studies (10%) focused on traditionally underrepresented groups (i.e., non-White, low-income, and/or sexual and gender minorities). Findings underscore the need for greater inclusion of underrepresented groups to ensure the validity and credibility of relationship science. We conclude with general recommendations for the field.
Effect of KLF17 overexpression on epithelial–mesenchymal transition of gastric cancer cells
Authors: Li Shaoyi , Li Yong , Tan Bibo , An Zhaojie
Published: November 2021

Objective

To investigate Krüppel-like factor 17 ( KLF17) expression in normal and gastric cancer tissues and cell lines.

Methods

Levels of KLF17 mRNA and protein in GES-1 normal gastric mucosal cells, and NCI-N87, SGC-7901, BGC-823 and HGC-27 gastric cancer cells were analysed by quantitative polymerase chain reaction (qPCR) and western blot. Differences in KLF17 expression between gastric cancer and adjacent tissues were analysed by qPCR and immunohistochemistry. Invasion/migration effects of KLF17 overexpression in BGC-823 and HGC-27 cells were analysed by wound-healing and Transwell chamber assays. Changes in expression of KLF17 and epithelial–mesenchymal transition (EMT)-related genes (matrix metalloproteinase [MMP]-9, vimentin and E-cadherin) were analysed in BGC-823 and HGC-27 cells before and after transfection using qPCR and western blot. Transforming growth factor (TGF)-β1, Smad family member (Smad)2/3 and phosphorylated-Smad2/3 levels in BGC-823 and HGC-27 cells were assessed by qPCR and western blot.

Results

KLF17 expression was lower in gastric cancer versus adjacent tissues, and in gastric cancer cell lines versus GES-1 normal gastric mucosal cells, and was positively correlated with degree of cancer-cell differentiation. Wound-healing and Transwell assays showed decreased migration and invasion ability of BGC-823 and HGC-27 cells transfected to overexpress KLF17. KLF17 overexpression was associated with decreased MMP-9 and vimentin in BGC-823 and HGC-27 cancer cells, and increased KLF17 and E-cadherin. KLF17 overexpression also resulted in decreased levels of TGF-β1 and p-Smad2/3 in BGC-823 and HGC-27 cancer cells.

Conclusion

KLF17 is poorly expressed in gastric cancer tissues and cell lines. KLF17 overexpression might inhibit EMT via the TGF-β/Smad pathway, thereby reducing gastric cancer cell invasion and migration. Therefore, KLF17 may become a novel target for treating gastric cancer.
Setting things “right”: right internal mammary artery on anomalous right coronary artery - a case report
Authors: D’Abramo M , Saltarocchi S , Saade W , Chourda E , De Orchi P , Miraldi F
Published: November 2021

Anomalous aortic origin of a coronary artery (AAOCA) is a rare pathology that may cause episodic ischemia owing to possible vessel compression during systolic expansion of the aortic root. This anomaly can lead to myocardial infarction, malignant arrhythmias and sudden cardiac death (SCD). Several surgical techniques have been described; however, there are no defined guidelines regarding the treatment of AAOCA. We report the case of a 47-year-old woman with ectopic origin of the right coronary artery (RCA) from the left sinus of Valsalva, with an interarterial course of the proximal segment of the artery, running between the aorta and the pulmonary trunk. Revascularization was accomplished by harvesting the right internal mammary artery (RIMA) and anastomosing it to the anomalous RCA, given the small portion of the RCA following an intramural course and our familiarity with the procedure. The RCA was ligated proximal to the anastomosis to avoid the string sign phenomenon. This procedure is safe and fast and can be considered an alternative to coronary reconstruction.
Gig Expectations: Literacy Practices, Events, and Texts in the Gig Economy
Authors: Corbel Christopher , Newman Trent , Farrell Lesley
Published: November 2021

This article explores the writing and reading requirements of the literacy practices, events, and texts characteristic of work mediated by the online labor platforms of the gig economy, such as Airtasker and Freelancer, which bring together people needing a job done with those willing to do it. These emerging platform-based discourse communities and their associated literacies are a new domain of social activity. Based on an examination of seven gig economy platforms, the present article examines the core literacy event in the gig economy, the posting and bidding for tasks, together with the texts that enhance and support this process. While some tasks require written texts as the outcome or product, all tasks involve the creation of some form of written text as part of doing the work. These texts are both interactional and interpersonal. As well as being a part of negotiating and then getting a task done, they relate to the complexities of building the identities, knowledge, and relationships required of those working in a virtual work space rather than a traditional workplace. While most of these texts reflect familiar text types, the core text cycle is argued to be an “emergent” genre. Implications for education are presented.
Design method of worn rail grinding profile based on Frechet distance method
Authors: Lin Fengtao , Zou Liang , Yang Yang , Shi ZhenShuai , Wang Songtao
Published: November 2021

Due to the large volume and high running density of railway freight lines, rail deterioration occur frequently. Thus, it is necessary to grind the rail in time to improve the wheel-rail relationship. The profile data of the worn rail were measured at different measuring points in a section, and the Frechet distance method was adopted to analyze the data. The representative profile reflecting the overall condition of rail wear in this section is obtained. Combined with NURBS curve theory, a fitting algorithm in which the rail profile with certain discrete points was established. Taking the reduction of the amount of grinding material removed as the objective function, setting wheel-rail matching characteristics, and the reduction of rail wear as the constraint conditions, a calculation model for rail grinding profile was established. The dynamic characteristics of standard profile CN75 and g grinding profile OP75 were analyzed by the vehicle track dynamics model. The results showed that compared with the standard profile CN75, the amount of grinding material removed of the grinding profile OP75 is reduced by 44.7%, and the height reduction of the rail top is reduced by 0.39 mm. After [Formula: see text] km of running, the wear amounts of grinding profile OP75 is about 36.1%–36.5% less than that of standard profile CN75.In the small curve section, the derailment coefficient of grinding profile OP75 is reduced by 11.7% compared with that of standard profile CN75. The dynamic performance is improved. The grinding target profile has better dynamic characteristics and is beneficial to reduce wheel-rail wear.
Science communication skills as an asset across disciplines: A 10-year case study of students’ motivation patterns at Université Laval
Authors: Daoust-Boisvert Amélie
Published: November 2021

As the demand for science communication proficiency is growing and post-secondary science communication courses and programs are launched or redesigned, it is paramount to understand who takes these courses and why. Based on a convergent mixed methods approach, this article explores the characteristics and self-reported motivations of students enrolled in an online science communication course at Université Laval, Canada, from 2009 to 2018. Results show that the typical science communication student is a woman with a career-orientated motivation pattern, mostly seeing science communication skills as an asset for a career in communication, science, or health. Be it career-driven, interest-driven, or online education-driven, motivation pattern differences emerge depending on the students’ gender or field of study. Those patterns offer new paths of research, such as exploring the impact of science communication program design or of advertising strategies on enrollment.
Patriotism, competition, nationalism, and respect for the military in US sports: Public recognition of American institutionalized sports nationalism
Authors: Knoester Chris , Davis Evan A
Published: November 2021

Using new data from the National Sports and Society Survey ( N = 3993), this study first examines the extent to which US adults recognize that sports teach love of country, competition as a way of life, respect for the military, and how to be American. We characterize this sport and society process as American Institutionalized Sports Nationalism. Then, multiple regression analyses are used to assess the extent to which dominant statuses, indicators of traditionalism, and sports fandom are associated with beliefs about American Institutionalized Sports Nationalism and its component values. Results suggest that US adults commonly agree that sports teach love of country, competition as a way of life, respect for the military, and how to be American; they are especially likely to agree that sports teach competition as a way of life and love of country. Many US adults also recognize sports as teaching respect for the military and how to be American, but most do not. In addition, as expected, identifying as male, heterosexual, Christian, Republican, and as more of a sports fan is consistently and positively associated with agreeing that sports teach patriotic, capitalistic, militaristic, and nationalistic values. In contrast to expectations, we find evidence that White adults are less likely than Black and Latinx adults to recognize American Institutionalized Sports Nationalism and its component values; college educated adults are also less likely than those with a high school education or less to agree that sports teach patriotism, capitalism, militarism, and nationalism. This may be because sports have traditionally been perceived to offer rather inclusive and fair social and economic opportunities for non-Whites and the less educated. Regardless, it is important to continue to research which cultural messages are promoted through sports, why, and to what effect. The present study advances this research initiative.
An improved constant deceleration control method with extended shock velocity range for magnetorheological energy absorber
Authors: Feng Zhongqiang , Yu Dong , Chen Zhaobo , Xing Xudong , Yan Hui
Published: November 2021

This paper proposed an extended constant deceleration (ECD) control method that can be used in the shock mitigation system with magnetorheological energy absorbers (MREAs). The ECD control method has three sections: zero controllable force (ZCF) section, constant deceleration (CD) section, and maximum damping force (MDF) section. Under the control of ECD, the system can stop at the end of MREA stroke without exceeding the maximum allowable deceleration. The ECD control algorithm is derived in a single-degree-of-freedom (SDOF) system. The controllable velocity range and the required controllable damping force of ECD control method are also derived, which can provide feasible solutions for the design of shock isolation system with MREAs. The performance of ECD control method is shown by applying to the drop-induced shock mitigation system with different drop velocities, different maximum controllable damping force, and MREA stroke. The results shows that the ECD control method not only has a large controllable velocity range and small controllable damping force requirement, but also can minimize the load transmitted to the system.
A holed-plate with material dislocations: Formulation and verification
Authors: Siddique Abu Bakar , Khraishi Tariq
Published: November 2021

Standard text-book dislocation theory for the elastic fields of a dislocation is provided in an infinite medium. For problems involving free surfaces, or image stresses, the solution for such elastic fields is more complex. The current article extends the state of knowledge for problems with free surfaces to address the stress field of a screw dislocation in a plate (two planar free surfaces) containing a hole/void. Such surfaces interact and thus affect the stress field of a dislocation in deviation of the infinite medium solution. The numerical solutions provided herein, based on reflective image stresses and the collocation-point method, have been verified to the extent available and such solutions allow for further applied problems. One main finding of the paper is that the equilibrium location of a screw dislocation is always closer to the hole/void surface than the planar free surface.
Impact of a Behavioral Sleep Intervention in Adolescents With ADHD: Feasibility, Acceptability, and Preliminary Effectiveness From a Pilot Open Trial
Authors: Becker Stephen P. , Duraccio Kara M. , Sidol Craig A. , Fershtman Chaya E. M. , Byars Kelly C. , Harvey Allison G.
Published: November 2021

Objective:

An open trial tested the feasibility, acceptability, and preliminary effectiveness of a behavioral sleep intervention in adolescents with ADHD.

Method:

Fourteen adolescents (ages 13–17 years; 50% male) with ADHD and co-occurring sleep problems received the cognitive-behavioral-based Transdiagnostic Sleep and Circadian Intervention for Youth (TranS-C). Adolescent, parent, and teacher ratings, actigraphy, and daily sleep diaries were collected at pre-intervention, post-intervention, and 3-month follow-up.

Results:

Adolescents experienced moderate to large improvements in sleep, mental health symptoms, and daily life executive functioning from pre-treatment to post-treatment, and improvements were generally maintained at 3 months. Pre-intervention, 71.4% of adolescents were classified as poor sleepers and this was reduced to 21.4% and 28.6% at post-treatment and follow-up, respectively.

Conclusion:

This study provides strong preliminary evidence that TranS-C improves sleep and associated outcomes in adolescents with ADHD and co-occurring sleep problems. A randomized controlled trial is needed to rigorously test the efficacy of TranS-C in this population.
Determination of pain experienced by children during intravenous bolus treatments and its causes
Authors: Alaca Asli , Yildirim Sari Hatice
Published: November 2021

Objective:

The present study aimed to determine the pain experienced by children during intravenous bolus treatment and to identify what causes it.

Method:

In the first stage of the study, the first 40 observations were performed by two researchers. The study was continued by a single observer after the Kappa test was performed. In this study, 101 drug treatments were administered by intravenous bolus in patients aged between 1 month and 6 years. The pain experienced during treatment was assessed using pain scales according to the age group the patient was in.

Results:

Pain was observed in 63.4% ( n = 64) of the treatments. There was a significant relationship between the type of medication administered and pain experienced during drug administration. There was also a significant correlation between the age of the children and their pain experiences. Given the location of the catheter, there was no significant difference among the children who experienced pain during intravenous treatment.

Conclusion:

Intravenous drug therapy may cause pain in children. To minimize such pain, it is recommended to determine the drugs that cause pain during intravenous treatment and to develop application protocols to minimize pain caused by these drugs.
“Sure, I saw sales, but it consumed me” from resilience to erosion in the digital hustle economy
Authors: Ens Nicola , Márton Attila
Published: November 2021

With increasing socioeconomic precarity and ecological threat, resilience has become the individual responsibility and moral obligation of the neoliberal subject. Digital labor platforms are a clear expression and beneficiary of this development, offering hustling as a way to gain resilience as a micro-entrepreneur. However, we present evidence to the contrary, demonstrating how hustling in the digital economy erodes resilience on a systemic level. For this purpose, we draw on an in-depth, ecological ethnography about Poshmark, a social commerce platform for predominantly female hustlers to sell clothes. We tell the story of a pattern set in motion by the rapid scaling of the platform, which requires hustlers to do more and more click-work to yield smaller and smaller sales. As a result, they are caught up in a runaway dynamic that erodes the resilience of the ecology as a whole.
Subversive affordances as a form of digital transnational activism: The case of Telegram’s native proxy
Authors: Santos Marcelo , Saldaña Magdalena , Tsyganova Ksenia
Published: November 2021

Internet, social media, and app shutdowns have become frequent, not only in authoritarian states but also in emerging and fragile democracies. As Russian authorities enforced a legal blockage to Instant Messenger Telegram during the past 2 years, many users kept using the app seamlessly thanks to what we call a subversive affordance: a built-in proxy functionality that allows users to seamlessly circumvent the blockage. We claim it is subversive because it allows users to overcome the blockage as the consequence of the app’s development, with a significant fraction of users who did not have to take action to bypass the blockage. By conducting an online survey and performing a meta-cluster analysis, we found a group we labeled the undeprived: people that, despite presenting traits frequently associated with digital divides—such as gender, age, and low levels of digital skills—were able to keep using the app.