bluuebunny/crossref_metadata_2025 huggingface dataset:
An accurate inter-turn short circuit faults model dedicated to induction motors
Authors: Babaa Fatima , Bennis Ouafae
Published: September 2020

Safety, disponibility and continuity of industrial systems are major issue in maintenance. In the last decades, these points are the important axes in the field of research. In fact, in many industrial processes research has picked up a fervent place and a particular importance in the area of fault diagnosis of electrical machines, in fact, a fault prognosis has become almost indispensable. The need of a mathematical model of three-phase induction machine, suitable for the simulation of machines behaviour under fault conditions, has received considerable attention. The paper presents a new practical and more precise model for induction motors after introducing inter turn short circuits faults. The proposed model is based on coupled magnetic circuit theory, capable to take into account any electrical asymmetry conditions. To verify the exactitude and the effectiveness of the model, simulation results for induction machine under interturn short circuit fault are presented. In spite of its simplicity, the proposed model is able to provide useful indications for diagnostic purposes. Experimental study is presented at the end of the paper to show that the proposed model predicts the induction machine behavior with a good accuracy.
Composing with Multidimensional Timbre Representations
Authors: Reid Leah
Published: September 2020

The author discusses her work and approach to timbre-based composition. Emergent in her works are a common theme and exploration of “timbre spaces” and “timbre in space.” She discusses two pieces: Ostiatim, for string quartet, and Occupied Spaces, for two pianos and percussion.
Beat Machine: Embracing the creative limitations and opportunities of low-cost computers
Authors: Brown Andrew R. , Ferguson John R.
Published: September 2020

The Beat Machine is a hand-held music synthesizer and sequencer. We discuss the development of the Beat Machine and how creative constraints and opportunities were introduced by the particularities of low-cost microprocessors and associated electronics. The discussion is framed as an exemplar of Kåre Poulsgaard's concept of enactive individuation, a framework for relating material engagement to digital design and fabrication. In reflecting on the design and making of the Beat Machine we connect this framework with more established notions of creative interaction and the affordances of digital media.
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions
Authors: Huang Changcun
Published: September 2020

This letter proves that a ReLU network can approximate any continuous function with arbitrary precision by means of piecewise linear or constant approximations. For univariate function [Formula: see text], we use the composite of ReLUs to produce a line segment; all of the subnetworks of line segments comprise a ReLU network, which is a piecewise linear approximation to [Formula: see text]. For multivariate function [Formula: see text], ReLU networks are constructed to approximate a piecewise linear function derived from triangulation methods approximating [Formula: see text]. A neural unit called TRLU is designed by a ReLU network; the piecewise constant approximation, such as Haar wavelets, is implemented by rectifying the linear output of a ReLU network via TRLUs. New interpretations of deep layers, as well as some other results, are also presented.
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI
Authors: Lin Tiger W. , Chen Yusi , Bukhari Qasim , Krishnan Giri P. , Bazhenov Maxim , Sejnowski Terrence J.
Published: September 2020

Measuring functional connectivity from fMRI recordings is important in understanding processing in cortical networks. However, because the brain's connection pattern is complex, currently used methods are prone to producing false functional connections. We introduce differential covariance analysis, a new method that uses derivatives of the signal for estimating functional connectivity. We generated neural activities from dynamical causal modeling and a neural network of Hodgkin-Huxley neurons and then converted them to hemodynamic signals using the forward balloon model. The simulated fMRI signals, together with the ground-truth connectivity pattern, were used to benchmark our method with other commonly used methods. Differential covariance achieved better results in complex network simulations. This new method opens an alternative way to estimate functional connectivity.
Analysis of Digital Forensic Tools
Authors: Sachdeva Shaweta , Raina B. L. , Sharma Avinash
Published: September 2020

This paper aims to analyze different tools for Forensic Data Analysis comes under the branch of Digital Forensics. Forensic data analysis is done with digital techniques. Digital forensics becomes more important in law enforcement, due to the large use of computers and mobile devices.
The pattern recognition system most appropriately fits into the Analysis Phase of the Digital Forensics. Pattern Recognition involves two processes. One Process is an analysis and the second process is recognition. The result of the analysis is taken out of the attributes from the patterns
to be recognized i.e., a pattern of different faces and fingerprints. These attributes are then utilized for the further process in the analysis phase which provides attention on various techniques of pattern recognition that are applied to digital forensic examinations and is proposed to
develop different forensic tools to collect evidence that would be helpful to solve specific types of crimes. This evidence further helps the examiner in the analysis phase of the digital forensic process by identifying the applicable data.
Wireless Sensor Network Coverage Hole Localization by Ant Colony Optimized Gaussian Mixture Model Clustering
Authors: Shalu  , Malik Amita
Published: September 2020

Nodes in the wireless sensor network have a minimal power source and they exhaust very quickly in communicating with each other. If any of the nodes die, a coverage hole creates in that region. This coverage hole leads to fast energy depletion of other nodes along with the security
issues due to intruder node’s placement at that location. The solution to detection of coverage hole is discussed in our paper and it is experimentally validated. We propose an unsupervised machine learning clustering algorithm to cluster the network graph metrics. An undirected network
graph of nodes is created and five graph metrics are extracted. The vector of features is clustered by Ant colony optimized expectation.maximization Gaussian mixture model (ACO-EM GMM) clustering algorithm. Our algorithm is compared with the state of art works based on false detection parameter.
Taxonomy of Machine Learning Algorithms and Its Applications
Authors: Rani Pooja , Kumar Rajneesh , Jain Anurag , Lamba Rohit
Published: September 2020

Machine Learning is an emerging field in computer science as it has given a new dimension to the concept of learning. By learning from the past data and events happening in the surrounding, it has emulated the human intelligence in the system. Due to self adaptive capability and mathematical foundation, machine learning has huge applications in the area like sentiment analysis, recommendation system, natural language processing, information retrieval, game playing, healthcare, market analysis, text recognition, computer vision. In this paper, authors have systematically reviewed the different aspects of machine learning. Study has thoroughly analyzed the different types of machine learning and their associated algorithms along with their applications.
Flying Ad-Hoc Network (FANET): Challenges and Routing Protocols
Authors: Kaur Manjit , Verma Sahil , Kavita
Published: September 2020

Flying Ad-hoc Networks (FANET) play a vital part in military (defence), environment and civilian areas, for examples surveillance, traffic monitoring, search, rescue, weather monitoring, fire fighting, agriculture, videography, photography and delivery goods or product from one place
to another place etc. Flying Ad-hoc Network is mainly ad-hoc network between unmanned air vehicles. There are several difficulties in flying ad-hoc network. The primary problem is in the communication between unmanned air vehicles. UAV are also known as Unmanned Aircraft Systems (UAS). The
problem of Flying Ad-hoc Network is routing of multiple unmanned air vehicles. The reason behind is high speed which required highly dynamic routing protocols. The designing of routing protocol is a complicated for various parameters such as traffic monitoring, load balancing etc. Here, flying
ad-hoc networks are described along with mobility models, features and routing protocols. This paper presented various routing protocols used to resolve these types of problems in Flying Ad-hoc Networks. Finally, some open research challenges in developing efficient routing protocols in the
Flying Ad-hoc Networks are highlighted.
Arduino Code Global System for Mobile Communications for Signal Analyzer
Authors: Hashim Wahidah , Mimi Hazrinda Binti Marzuki , Maseleno Andino
Published: September 2020

In these era, everything is on the finger. All application or system that have created or invented are purposely to easiest the user. Even though so many things were transformed into digital things or internet of things, but there is certain thing which still we did in a manual. The
best example that we can see is recorded data. Many of us were still record data in the paper which the effect if we not save the paper properly, it may due to loss. So, data collector for signal analyzer is inventing to work as collector data automatically after performing the measuring signal
analyzer then save the data to cloud as raw data. Raw data refer to any data object that hasn’t undergone thorough processing, either manually or through automated computer software. Because of that, user may use the raw data to make analysis completely and save it back. User also can
get the data anytime when needed.
Experimental Investigation of Epoxy/Poly(amino amide)/Phthalic Anhydride: Mechanical Properties and Thermal Stability
Authors: Wolok Eduart , Pakaya Fahriadi
Published: September 2020

Epoxy resin is one of materials engineering that is widely applied especially in the shipping industry, aviation, automotive, and others. With a variety of applications led many scientists in the field of materials engineering work to improve the properties and ability of the epoxy
either by changing the structure of epoxy. One way to improve the properties of epoxy is adding certain compounds that can react and able to change the properties of the epoxy according to the requirement. In this study, to improve the properties of the epoxy, then added phthalic anhydride
compounds. The epoxy was cured using poly(amino amide) (PAA) as hardener at 40 wt%. The composition of phthalic anhydride (PA) was added at 5, 10, 15 and 20 wt%. The epoxy/PAA/PA was evaluated as the effect of phthalic anhydride composition. The addition of phthalic anhydride increase the
elongation at break, energy and impact strength but decreased tensile strength and thermal stability. The optimum of energy and impact strength was at 20 wt% phthalic anhydride respectively 0.398 J and 5450,48 J/m2 The addition of phthalic anhydride decrease the thermal properties
of epoxy/PAA/PA. Stability of the lowest in the addition of 15 wt% PA around 146 °C.
Study and Identification of Factors Effective on Sustainability of Supply Chain in Industries of Iran by Applying Meta-Synthesis and Delphi Methods
Authors: Kakhki Hossein Alaee , Saghih Amir Mohammad Fakoor , Alireza Pooya , Zahra Naji Azimi
Published: September 2020

In recent years, the importance of supply chains has been stressed, because only the concentration of the economic performance for optimizing the costs or capital return cannot ensure the development and sustainability of businesses. The management of sustainable supply chain has been created to emphasize on the importance of social and environmental concerns along with the economic factors in planning the supply chain. The present research aims to recognize and study the indexes effective on the supply chain sustainability; for this purpose, the qualitative and quantitative methods were applied. At first, the qualitative data were extracted by the use of the meta-synthesis method and then, the quantitative data were collected by using the connoisseurs’ opinions and Delphi method. In this research, the procedure of researches done during 15 years in case of supply chain sustainability was studied and 26 factors effective on this matter were recognized. The present research is novel in terms of identification of indexes and dimensions of a sustainable supply chain that, for the first time, the qualitative meta-synthesis and Delphi methods were applied. The results reveal that the efficiency of using the recourses, competitive advantage, product quality, product maintenance in life circle, profitability, market share and reduction of costs of economic group and also the social responsibilities of company, business transparency, and the beneficiaries’ coordination with the social group with very near scores have the most importance and effect on the sustainability. The costumers’ satisfaction, production flexibility, capital return speed, logistic optimization, and suppliers are of the economic group and the environmental management system, designing consistent with the environment are of the environmental group. Furthermore, respecting the rights and equality among the employees and public awareness are of the social group and ultimately, bounding to social disciplines and norms are of social group and the reduction of greenhouse gasses emission, wastes, and environmental standards were of the environmental group.
Innovative Development of the Russian Economy: Key Issues and Solutions
Authors: Sergeevna Budovich Lidia
Published: September 2020

The article describes the concept and the objectives of innovation; key challenges and difficulties faced by Russia in the transition to an innovative socially-oriented development model. Necessity of creating an effective innovation policy and the ways to address the issues of such
transition are discussed.
A Diagnostic Model for Cardiovascular Diseases Using Feature Selection and Data Clustering
Authors: Farahbakhsh Shima
Published: September 2020

Cardiovascular diseases are one of the most common diseases and currently, the number of people with cardiovascular diseases is increasing. However, if necessary treatment is not provided for the patient at the right time, it might lead to patient death. Therefore, accurate diagnosis
of cardiac problems during the first examination along with suitable treatment can decrease the rate of mortality due to cardiovascular diseases. To this end, data mining techniques can be used. Data mining extracts the necessary data from a large body of information. This data is then is
used for data classification and prediction through clustering, classification and/or identification of hidden patterns. Many studies so far have focused on using data mining techniques to diagnose cardiovascular diseases. The present study aims to provide a diagnostic model for cardiovascular
diseases using an approach based on feature selection and data clustering as pre-processing steps. The proposed model involves 4 main phases: (1) Pre-processing the data to eliminate null and outlier values from data sets; (2) Choosing effective features by using three methods of Pearson correlation
coefficient, Information Gain algorithm, and analysis of the main components which try to remove the features that do not have a special relationship with target feature and the behavior of this feature is independent of the target feature; at the end of this phase, 5 features of 13 initial
features are removed. (3) Using the KMeans algorithm in data clustering and developing pre-processes before creating the final cluster and developing a model for predicting the type of cardiovascular diseases. The results obtained from the proposed solution show that am4 algorithms
of ID3, Naïve Bayes, SVM, and IBK used, IBK algorithm was the most accurate algorithm with 0.97 accuracy.
Impact of Web Based Learning and Teaching in Higher Education in India
Authors: Garg Atul , Sharma Avinash , Garg Nidhi Bansal
Published: September 2020

Since independence, education sector visualized an unremarkable increase in its educational policies as the years passed on. In the development countries like India, the number of Government, Government aided and private Universities/institutions have increased. And, due to the revolution
of Internet the teaching methodologies are also affected. The Government agencies like UGC, AICTE etc. are determining of standards in educational Universities/Institutions. The Government is also focusing on new technological resources up to a large extent to increase the education ration
and quality of education. The Government of India is providing grants to UGC, AICTE, IITs, IIMs, Universities, Institutions and individuals for the growth of teaching, learning, research and innovations. Information technology (IT) plays a significant role in one’s daily life style,
whose growing rate is very wide.
The Observed Water Vapor Budget in an Atmospheric River over the Northeast Pacific
Authors: Norris Joel R. , Ralph F. Martin , Demirdjian Reuben , Cannon Forest , Blomquist Byron , Fairall Christopher W. , Spackman J. Ryan , Tanelli Simone , Waliser Duane E.
Published: September 2020

Combined airborne, shipboard, and satellite measurements provide the first observational assessment of all major terms of the vertically integrated water vapor (IWV) budget for a 150 km × 160 km region within the core of a strong atmospheric river over the northeastern Pacific Ocean centered on 1930 UTC 5 February 2015. Column-integrated moisture flux convergence is estimated from eight dropsonde profiles, and surface rain rate is estimated from tail Doppler radar reflectivity measurements. Dynamical convergence of water vapor (2.20 ± 0.12 mm h−1) nearly balances estimated precipitation (2.47 ± 0.41 mm h−1), but surface evaporation (0.0 ± 0.05 mm h−1) is negligible. Advection of drier air into the budget region (−1.50 ± 0.21 mm h−1) causes IWV tendency from the sum of all terms to be negative (−1.66 ± 0.45 mm h−1). An independent estimate of IWV tendency obtained from the difference between IWV measured by dropsonde and retrieved by satellite 3 h earlier is less negative (−0.52 ± 0.24 mm h−1), suggesting the presence of substantial temporal variability that is smoothed out when averaging over several hours. The calculation of budget terms for various combinations of dropsonde subsets indicates the presence of substantial spatial variability at ~50-km scales for precipitation, moisture flux convergence, and IWV tendency that is smoothed out when averaging over the full budget region. Across subregions, surface rain rate is linearly proportional to dynamical convergence of water vapor. These observational results improve our understanding of the thermodynamic and kinematic processes that control IWV in atmospheric rivers and the scales at which they occur.
Don’t Talk to White People: On the Epistemological and Rhetorical Limitations of Conversations With White People for Anti-Racist Purposes: An Essay
Authors: Jaima Amir R. A.
Published: September 2020

Productive dialogue with white people for anti-racist purposes is precluded by the political limits prescribed by the “principle of interest convergence,” occluded by the epistemological conditions of “white ignorance,” and disincentivized by the psychological burdens of “racial battle fatigue” borne by You and me, the Black would-be interlocutors. Nevertheless, much popular effort is spent—dare I say wasted—in attempts to talk white people out of their racism; or as I will define them in this paper, following James Baldwin, “those-who-think-of-themselves-as-white.” Consequently, I propose that we stop “talking” to those-who-think-of-themselves-as-white about racism, or at least adopt an attitude of extreme wariness.
Leading Towards Equity Through Decades of Reform: Oral Histories of District Politics and Community-Driven Reform in Oakland
Authors: Kissell René Espinoza , Trujillo Tina
Published: September 2020

District leaders have rich insights into managing civic-minded reforms, like community schools, yet, little research on school reform examines their experiences within policy paradigms and political contexts that are increasingly marketized. Through oral histories with two longtime Oakland education leaders, we show how leaders negotiated and carried out initiatives while juggling challenges. Despite commitments to quality public education, leaders often faced competing pressures and values by local and external actors. We argue that Oakland represents a critical case of central office reform amid a resource-scarce, market-oriented educational landscape that shapes racialized community engagement and redefines power dynamics in the district.
Plea Bargaining: A Test of Dual Discounting Preferences for Non-Monetary Losses
Authors: Clatch Lauren , Borgida Eugene
Published: September 2020

Judgment and decision-making research on discounting suggests that when humans are thinking about gains, they tend to prefer certain and immediate outcomes to uncertain and delayed outcomes. However, discounting has been studied primarily using monetary commodities and, until recently, by testing one feature of the binary forced-choice task at a time: delay, probability, or amount of money received/lost. The present research is the first test of a dual discounting task that combines probability and delay into a single, binary forced-choice task in a non-monetary loss context. The key findings, based on three studies, suggest that delay and probability discounting play a significant role in decisions including non-monetary loss commodities like plea bargaining. Future work should explore the boundary conditions of dual discounting based not only on the nature of the binary choice (probability and delay) but also on the nature of the commodity (amount, valence, and quantifiability).
Geographically Weighted Regression Analysis for Spatial Economics Data: A Bayesian Recourse
Authors: Ma Zhihua , Xue Yishu , Hu Guanyu
Published: September 2020

The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In this paper, we discuss a Bayesian recourse of GWR. Bayesian variable selection based on spike-and-slab prior, bandwidth selection based on range prior, and model assessment using a modified deviance information criterion and a modified logarithm of pseudo-marginal likelihood are fully discussed in this paper. Usage of the graph distance in modeling areal data is also introduced. Extensive simulation studies are carried out to examine the empirical performance of the proposed methods with both small and large number of location scenarios, and comparison with the classical frequentist GWR is made. The performance of variable selection and estimation of the proposed methodology under different circumstances are satisfactory. We further apply the proposed methodology in analysis of a province-level macroeconomic data of thirty selected provinces in China. The estimation and variable selection results reveal insights about China’s economy that are convincing and agree with previous studies and facts.
Industry vs. Government: Leveraging Media Coverage in Corporate Political Activity
Authors: Murray John , Nyberg Daniel
Published: September 2020

This article investigates how an industry leveraged media coverage to publicly oppose governmental policy. Based on a frame analysis of the political contest between the mining industry and the Australian government over a proposed tax on resource corporations, we show how the industry aligned its position with mass media to (a) make the policy contest salient, (b) frame their position in the contest as legitimate and (c) construct negative representations of the policy as dominant. The analysis reveals how the industry’s corporate political activities leveraged media coverage to align disparate frames into a consistent message against the policy in the public sphere. This contributes to the literature on corporate political activity by explaining the process of alignment with mass media frames to legitimize corporate positions on salient issues. Second, we contribute to the framing literature by demonstrating the process of frame alignment between non-collaborative actors. Finally, we contribute to the broader discussion on corporations’ role in society by showing how corporate campaigns can leverage the media to facilitate the favourable settlement of contentious issues. These contributions highlight the pitfalls of corporate political influence without necessary democratic standards.
A Simplified Measure of Investor Risk Aversion
Authors: Grable John , Kwak Eun Jin , Fulk Martha , Routh Aditi
Published: September 2020

This article introduces a simplified measure of investor risk aversion. The singleitem question combines elements from revealed preference and propensity measurement techniques in a way that matches traditional constant relative risk-aversion estimation procedures. Based on survey data from 500 investors living in the United States, scores from the proposed measure were found to correlate with other measures of risk aversion, as well as with indicators of risk-taking. A validity test showed that answers to the proposed measure were statistically associated with equity and cash ownership holdings in respondent portfolios. The simplicity and intuitive nature of the proposed measure and the alignment of question response categories to estimates of constant relative risk aversion make this a potentially valuable addition to the toolkit of researchers, financial educators, investors and those who provide advice to investors.

JEL: C83, D10, D11, D14, D19, D81
Attachment and sleep: A dyadic intensive longitudinal actigraphy study
Authors: Haydon Katherine C. , Moss Corrin
Published: September 2020

Attachment and sleep are linked across the lifespan, but attachment regulation of sleep among couples is understudied. This study aimed to replicate and extend prior research by testing whether romantic partners’ attachment orientations interacted to predict sleep, assessed via self-report and actigraphy over 14 days. Participants ( N = 208 couples) completed measures of attachment anxiety and avoidance and the Pittsburgh Sleep Quality Index. They also wore actigraphy monitors to assess nightly sleep quality and duration. Anxious people self-reported worse sleep quality, replicating two prior studies. In contrast to previous studies, anxious and low-avoidant people slept significantly worse with avoidant partners, while avoidant people slept somewhat better with avoidant partners. Results indicted dyadic regulation of several sleep outcomes and provided new insights regarding how partner avoidance can exacerbate or buffer sleep quality.
Searching for Newness in Management Paradigms: An Analysis of Intellectual History in U.S. Public Administration
Authors: Kim Yoonho
Published: September 2020

Some management paradigms—traditional public administration (TPA), new public administration (NPA), new public management (NPM), and network governance—have long led the practice and theory of U.S. public administration during different time periods. Although each paradigm purports its newness, this study analyzes the truth of such claims. Thus, this study provides an in-depth analysis of management paradigms by differentiating new from old elements in each, and identifies certain underpinning streams or tides that penetrate from one management paradigm to another. Here, the primary conceptual focus is a two-by-two table that classifies management paradigms into four quadrants based on two dimensions: “politics-administration dichotomy” and “market-driven management.” Results indicate that TPA has various novel features such as neutral competence, political guidance, and procedural equality, and that NPA and NPM also have new features such as a policy-administration continuum and market-driven management, respectively. Finally, network governance appears to be a derivative of NPM’s market-driven management and NPA’s policy-administration continuum. Another important research finding of this study is that the four management paradigms are the mixtures of multiple “lenses.” Likewise, the four management paradigms are the combinations of “privateness”-oriented and “publicness”-oriented managerial norms. This study is significant as the first examination of the newness of management paradigms and in filling the gaps in previous categorization models of U.S. administrative reforms and public administration theory.
Approaches to Reducing Risk of COVID-19 Infections in Prisons and Immigration Detention Centers: A Commentary
Authors: Kelly Kate , Soto Nai , Wisseh Nadi Damond , Clerget Shaina A.
Published: September 2020

Although often left out of public health efforts and policy decisions, prisons, jails, and detention centers are integral to community health. With an average of 650,000 citizens returning home from prison each year in the United States, and thousands of correctional staff members returning home every night, there are millions of touchpoints between outside communities and carceral settings. For this reason, carceral communities should be central to planning and policy making in response to the spread of the COVID-19 illness. As social workers and clinicians, we are urgently concerned that efforts to prevent COVID-19 infections in prisons are underdeveloped and inadequate in the face of a fast-spreading virus. In this commentary, we outline a set of public health, policy, and clinical recommendations based upon the existing literature to mitigate various risks to the well-being of carceral communities.
Future Planning Practitioners and the “Waipahu Talk Story”: Learning from and Reflecting on Participation
Authors: Das Priyam , Tadj Yusraa , Cloudwatcher Scott , Ho-Schar Cathi
Published: September 2020

Fifty years ago, Sherry Arnstein presented “a ladder of citizen participation,” highlighting the relevance of citizen participation for the social imperatives of her time. Today, there is widespread emphasis on public participation in planning practice. Planning education stresses its importance in addressing the principles of social justice. This prompted us to explore how graduate students on the threshold of becoming planning practitioners designed public engagement tools, and facilitated participation to examine proposed transit-oriented development plans. Our paper analyzes the nature of their engagement and reflection, spotlighting the potential and pitfalls of doing public participation. We find that enabling critical pedagogical approaches to engender collaborative and reflective practice benefits students, educators, and the profession in distinct ways.
Latino Parent-Child English Language Fluency: Implications for Maternal School Involvement
Authors: Anderson Machele , Cox Ronald B. , Giano Zachary , Shreffler Karina M.
Published: September 2020

Latino parents have lower levels of school involvement compared to other ethnic groups, which is often attributed—though not tested—to low English language proficiency. Using a population-based sample of 637 7th grade Latino youth attending an urban school district, we find no significant difference in maternal school involvement when mothers and students are either both fluent in English or both non-fluent. When students are more fluent than their mothers, however, maternal school involvement is significantly lower, suggesting that schools may need to take additional steps to encourage parental involvement when there is language dissonance between parents and their children.
Practical learnings from an epidemiology study on TDI-related occupational asthma: Part II—Exposure without respiratory protection to TWA-8 values indicative of peak events is a good indicator of risk
Authors: Plehiers Patrick M , Chappelle Anne H , Spence Mark W
Published: September 2020

The anonymized data of an epidemiology study on the incidence of toluene diisocyanate (TDI)-related occupational asthma in three US-based TDI production facilities have been reanalyzed to identify where to best focus exposure reduction efforts in industrial practice in order to reduce the risk of sensitization to TDI. In Part I, it was demonstrated that cumulative exposure is not a good indicator of the risk of developing TDI-related occupational asthma. In this Part II, an alternative model was developed based on net exposure parameters (i.e. samples taken when no respiratory protection was used). A statistically significant relationship was determined between asthma incidence and the frequency of exposure to TDI levels indicative of peak events that are expressed as time-weighted average-8 (TWA-8) values greater than 3 ppb during which no respiratory protection was used. This relationship suggests a threshold to induction of TDI-related asthma. The findings also highlight the importance of a comprehensive program for controlling workplace atmosphere in the plant by technical measures (e.g. selection of equipment, cleaning procedures) and controlling exposure by organizational measures and situational awareness (e.g. training, use of in-the-field direct reading indicators) during high potential exposure scenarios (e.g. line breaking, spills) to encourage or enforce the appropriate use of respiratory protection.
Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier
Authors: Kaka Hussam , Zhang Euan , Khan Nazir
Published: September 2020

There have been many recently published studies exploring machine learning (ML) and deep learning applications within neuroradiology. The improvement in performance of these techniques has resulted in an ever-increasing number of commercially available tools for the neuroradiologist. In this narrative review, recent publications exploring ML in neuroradiology are assessed with a focus on several key clinical domains. In particular, major advances are reviewed in the context of: (1) intracranial hemorrhage detection, (2) stroke imaging, (3) intracranial aneurysm screening, (4) multiple sclerosis imaging, (5) neuro-oncology, (6) head and tumor imaging, and (7) spine imaging.
Patterns of Maltreatment Co-Occurrence in Incarcerated Youth in Australia
Authors: Papalia Nina , Baidawi Susan , Luebbers Stefan , Shepherd Stephane , Ogloff James R. P.
Published: September 2020

Child maltreatment research is increasingly recognizing the need to capture patterns of co-occurrence between different types of abuse/neglect and to consider their associations with psychosocial functioning. Few studies have examined these issues in justice-involved youth despite the fact that rates of maltreatment and trauma-related psychopathology are disproportionately high among this population. This study examined profiles of self-reported child physical abuse, sexual abuse, emotional abuse, and neglect among incarcerated juveniles in Victoria, Australia, using latent class analysis. We also investigated associations between maltreatment profiles and mental health and behavioral problems. Data pertaining to juveniles’ experiences of maltreatment and mental health and behavioral functioning were collected from interviews, questionnaires, files, and administrative datasets. A three-class solution provided the best fit for the data and was conceptually meaningful: a “low/rare maltreatment” class (41%); “high physical and emotional abuse” class (23%); and a “poly-victimization” class (36%). Youth in the “poly-victimization” class experienced especially serious mental health and behavioral disturbances, including higher rates of mental illness, greater severity of internalizing and externalizing symptoms, impulsivity, substance abuse, self-harm and suicidal behavior, irritability, and early-onset violence. Results suggest there may be benefit in considering screening and assessment procedures in youth justice settings to identify poly-victimized youth in need of more intensive monitoring and treatment to address their complex clinical and behavioral profiles.
Associations between Teacher- and Student-directed Sexual and Physical Violence in Physical Education
Authors: Gråstén Arto , Kokkonen Marja
Published: September 2020

This study examined relationships between teachers’ perceptions of verbal and non-verbal sexual harassment and physical violence against teachers and among students in physical education (PE). Participants were 175 (females 122, males 53) Finnish PE teachers between 27 and 62 years ( M = 44.8 ± 9.2 years). The cross-sectional data were collected by an anonymous online survey in the fall semester 2018. The findings showed that (a) higher levels of verbal sexual harassment and physical violence among students were associated with higher levels of equivalent types of violence against PE teachers, (b) higher levels of verbal and non-verbal sexual harassment among students were associated with higher levels of physical assaults among students, whereas only non-verbal sexual harassment was associated with physical violence against teachers, and (c) verbal sexual harassment and physical violence among students occurred more frequently in PE classes instructed by less experienced teachers. The results indicated that to prevent both teacher- and student-directed verbal sexual harassment and physical violence in school PE, special attention could be given to the positive development of student–student relationships.
Central and Eastern Europe, China’s Core Interests, and the Limits of Relational Politics: Lessons from the Czech Republic in the 2010s
Authors: Kowalski Bartosz
Published: September 2020

The study examines Czech–Chinese relations in the 2010s within the theoretical framework of relationalism, through the prism of which Czech ruling and financial elites have been trying to gain economic benefits from the partnership with China. These efforts are examined on several, often overlapping, levels, including elite, national and local. On the other side of the relational spectrum, in the process of improving ties with the Czech ruling elites, Prague was selected as the center of European operations of the powerful—at least until recently—CEFC China Energy conglomerate. This nominally private company, now taken over by the state-owned CITIC, attributed its operations not only to economic benefits but also as intended to strengthen friendly relations between the two countries: that is, as part of China’s economic statecraft. Therefore, the practice and effects of the Czech efforts are examined in the relational context of Beijing’s attempts to secure the support of the Czech ruling elites for China’s core interests: Tibet, Taiwan, and (implicitly) Huawei.
Pharmacist Transition-of-Care Services Improve Patient Satisfaction and Decrease Hospital Readmissions
Authors: March Katherine L. , Peters Michael J. , Finch Christopher K. , Roberts Lauchland A. , McLean Katie M. , Covert Ashley M. , Twilla Jennifer D.
Published: September 2020

Background:

Pharmacists ability to directly impact patient satisfaction through increases in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys utilizing transitions-of-care (TOC) services is unclear.

Methods:

Retrospective analysis of TOC patients from 07/01/2018 to 03/31/2019 was conducted. Intervention (INV) patients received pharmacist medication reconciliation and education prior to discharge and post-discharge telephone follow-up. All other patients served as control group (CON). Primary outcome: Evaluate impact of TOC services on HCAHPS scores for “Communication about Medicines” and “Care Transitions.” Secondary outcomes: 30-day readmissions, quantification of prevented potential safety events, assessment of discharge prescriptions sent to the academic medical center outpatient pharmacy (MOP) for TOC patients.

Results:

Of 1,728 patients screened, 414 patients met inclusion criteria (INV = 414, CON = 1314). A significant improvement (14.7%; p = <0.0001) in overall medication-related HCAHPS results was seen when comparing pre- vs post-implementation of the TOC service. Statistically significant increases for individual questions “staff told you what the medicine was for” (14.2%; p = 0.018), “staff describe possible effects” (21.2%; p = 0.004), and “understood the purpose of taking medications” (11.4%; p = 0.035) were observed. A non-significant decrease in 30-day readmission rates for the groups was observed (CON 16.4%, INV 13.3%; p = 0.133); however, an unplanned subgroup analysis evaluating impact of discharge phone calls on 30-day readmission rates revealed a significant reduction of 17.3% to 12.4% (p = 0.007). One hundred forty-three medication safety event(s) were potentially prevented by the TOC pharmacist. Lastly, 562 prescriptions were captured at the MOP as a result of the TOC initiative.

Conclusions:

Pharmacy-based TOC models can improve patient satisfaction, prevent hospital readmissions, and generate revenue.
Effects of baohuoside-I on epithelial-mesenchymal transition and metastasis in nasopharyngeal carcinoma
Authors: Wang Q , Jiang S , Wang W , Jiang H
Published: September 2020

To investigate the effect of baohuoside-I against nasopharyngeal carcinoma (NPC) and its underlying mechanism, baohuoside-I was employed to treat NPC cell lines CNE1 and CNE2 in vitro, followed by attachment and detachment assays to evalute the epithelial-mesenchymal transition (EMT) phenotype markers. Baohuoside-I was also administered to experimental mice to assess its effect on xenograft tumor growth and NPC cell metastasis. A microRNA (miRNA, miR) microarray was performed to screen for miRNA altered by baohuoside-I in NPC cells. Bioinformatic tools and luciferase activity assay was conducted to identify the downstream molecules mediating the anti-tumor property of baohuoside-I. Baohuoside-I inhibited EMT and metastasis and upregulated miR-370-3p in NPC cells, which was shown to directly recognize and inhibit expression of Hedgehog pathway component Smoothened (SMO). Baohuoside-I suppresses metastasis as well as EMT of NPC cells through targeting the Hedgehog pathway component SMO, and may serve as a potent anti-tumor agent in the clinical management of NPC.
We’re Here for You: The Unsolicited Covid-19 Email
Authors: Winet Kristin , Winet Ryan L.
Published: September 2020

Although companies have long used email to correspond directly with consumers in times of crisis (George & Pratt, 2012), the Covid-19 pandemic has incited an unprecedented flood of emails to our inboxes from companies reassuring us that “we’re all in this together.” As composition scholars begin to investigate how organizations have responded to this pandemic, this article explores the rise of the “we’re here for you” email, a rapidly developing genre that reveals an unsettling relationship with the voice behind our consumer products and also a paradigm shift in how organizations connect with consumers during times of crisis.
On the Fluidity of Institutional Change: Complex Interrelations Between Multiple Types of Institutional Work During the Serbian Transition
Authors: Zara Andreea , Delacour Héléne
Published: September 2020

To extend the understanding of institutional change at the societal level, we explore the way in which multiple types of institutional work are interrelated, and how the interrelations affect both the institutional change and its outcome. Through an in-depth study of the Serbian transition between 2000 and 2008, our findings reveal first that this specific context expands the range of institutional work, for example, the pressure and capitalization work performed by the Mafia, tycoons, and opportunistic politicians in our case. Second, we highlight four complex characteristics of the interrelations between multiple types of institutional work: feedback loops, non-linearity, emergent properties, and discontinuity. We contribute to the neo-institutional literature by showing the importance to attend to the interrelations between multiple types of institutional work performed by different actors, as to understand institutional change, its fluidity, complexity, and its outcome.
Fibrinogen Concentrate for the Treatment of Thrombolysis-Associated Hemorrhage in Adult Ischemic Stroke Patients
Authors: Barra Megan E. , Feske Steven K. , Sylvester Katelyn W. , Ong Charlene , Culbreth Sarah E. , Krause Patricia , Henderson Galen V. , Rybak Eva
Published: September 2020

In patients with ischemic stroke who receive systemic recombinant tissue plasminogen activator (rt-PA), the risk of secondary hemorrhage is 1-7%. Fibrinogen supplementation with cryoprecipitate is recommended in patients with rt-PA-associated symptomatic hemorrhage. We examined whether fibrinogen concentrate can be used safely in this setting. A single-center retrospective case series was performed in patients who received fibrinogen concentrate for post-rt-PA hemorrhage between January-2012 and December-2017. The primary outcome was the incidence of in-hospital thromboembolic events and infusion reactions. Secondary outcomes included incidence of clinically significant ICH expansion within 24-hours and patient serum fibrinogen response to fibrinogen concentrate therapy. Thromboembolic events occurred in 3 (12.5%) of 24 patients included in the analysis. No patients experienced infusion-related reactions. Five of 22 patients with ICH experienced clinically significant hemorrhage expansion. Hypofibrinogenemia was corrected in 87.5%(7/8) of patients with baseline hypofibrinogenemia, with a median increase in serum fibrinogen 166 mg/dL. Median fibrinogen increase in patients without baseline hypofibrinogenemia was 18 mg/dL. Fibrinogen concentrate is a safe potential therapeutic option to restore fibrinogen levels in acute ischemic stroke patients with thrombolysis-associated hemorrhage.
Validity based on content: A challenge in health measurement scales
Authors: Zapata-Ospina Juan Pablo , García-Valencia Jenny
Published: September 2020

Content-based validity can be defined as the evidence of the degree to which the items of an instrument represent the construct to be inferred. It is the initial and unavoidable step for evaluating other sources of validity. However, it is one of the least reported psychometric properties in development of health measurement scales. That is why it is considered a challenge that must be overcome with the recognition of its value. In this narrative review, the concept of content as evidence of validity is revised and methods for evaluation are synthesized with an algorithm.
Hunting for Healing
Authors: Jennings Derek
Published: September 2020

Derek Jennings on preparing meals based on ancestral diets.
Who Ya Gonna Call? Quilters
Authors: Stalp Marybeth C.
Published: September 2020

Marybeth Stalp on quilters helping to alleviate the shortage of personal protective equipment amid the COVID-19 pandemic.
Antiracism is a Constant Struggle
Authors: Ray Victor
Published: September 2020

Victor Ray on How to be an Antiracist.
Anishinaabe Inclusive Politics
Authors: Fletcher Matthew L.M.
Published: September 2020

Matthew Fletcher on the Michigan Anishinaabek.