bluuebunny/crossref_metadata_2025 huggingface dataset:
Transformation and Optimization of Rural Ecological Endowment Industry Chain Based on Constrained Clustering Algorithm
Authors: Zhao Yan , Gai Zhiyi
Published: January 2022

China is experiencing a serious aging crisis, with the number of elderly people rising at an unprecedented rate. First and foremost, the pension industry's service object is the pension. To build an old-age industry complex, make use of the unique natural resources in the countryside, provide the original ecological old-age care services, and transform, optimize, and make efficient use of the existing policies and technologies. The drawbacks of the traditional pension model are becoming increasingly apparent. We must investigate a new pension model in order to ensure the long-term development of China's pension system and reduce the increased pension burden on governments at all levels. The rural areas' unique natural resources should be utilized to provide unique ecological elderly care services, and transformation and optimization must be implemented (that is, making efficient use of existing policies and technology to construct an elderly care industry complex). As a new pension mode for the elderly to become more connected to the natural world and improve their physical and mental health, ecological pensions have emerged as a new economic growth point that can fill the gap in the pension industry's supply while also meeting the elderly's growing spiritual and cultural needs. A constrained clustering algorithm is proposed in this article. Unsupervised learning is used in the constrained clustering algorithm. The clustering algorithm must determine the data objects to be clustered because they are not labeled. Because the data objects have no prior knowledge, the clustering algorithm analyzes them using the same principles. The effectiveness of the clustering results is determined by the dataset's adherence to the previously stated principles. The constrained clustering algorithm has greatly improved the transformation and optimization of the rural ecological elderly care industrial chain.
Visual Fatigue Estimation by Eye Tracker with Regression Analysis
Authors: Lin Hui-Ju , Chou Li-Wei , Chang Kang-Ming , Wang Jing-Fong , Chen Sih-Huei , Hendradi Rimuljo
Published: January 2022

The traditional way to detect visual fatigue is to use the questionnaire or to use critical fusion frequency of high-frequency exchanges due to eye fatigue. The objective of this study was to explore whether eye movement behavior can be used as an objective tool to detect visual fatigue. Thirty-three participants were tested in this study. Their subjective visual fatigue survey, critical fusion frequency, and eye tracker of one minute gaze were measured before and after 20 minutes visual fatigue task. There were significant differences before and after visual fatigue task on survey and eye tracker-derived features. By multiple regression analysis with four eye tracker features, total fixation time duration of the inner circle, longest continuous duration of inner circle viewing time, maximum saccade distance, and focus radius, the regression

R

square value was greater than 0.9 for all critical fusion frequency data and when subjective visual fatigue assessment was greater than 12 points. In conclusion, eye movement behavior can be used to detect visual fatigue more sensitively even than the traditional critical flicker fusion assessment. Eye tracker can also provide well regression model to fit traditional critical fusion frequency measurement and subjective visual fatigue survey.
DNA Methylation Biomarkers-Based Human Age Prediction Using Machine Learning
Authors: Zaguia Atef , Pandey Deepak , Painuly Sandeep , Pal Saurabh Kumar , Garg Vivek Kumar , Goel Neelam
Published: January 2022

Purpose. Age can be an important clue in uncovering the identity of persons that left biological evidence at crime scenes. With the availability of DNA methylation data, several age prediction models are developed by using statistical and machine learning methods. From epigenetic studies, it has been demonstrated that there is a close association between aging and DNA methylation. Most of the existing studies focused on healthy samples, whereas diseases may have a significant impact on human age. Therefore, in this article, an age prediction model is proposed using DNA methylation biomarkers for healthy and diseased samples. Methods. The dataset contains 454 healthy samples and 400 diseased samples from publicly available sources with age (1–89 years old). Six CpG sites are identified from this data having a high correlation with age using Pearson’s correlation coefficient. In this work, the age prediction model is developed using four different machine learning techniques, namely, Multiple Linear Regression, Support Vector Regression, Gradient Boosting Regression, and Random Forest Regression. Separate models are designed for healthy and diseased data. The data are split randomly into 80 : 20 ratios for training and testing, respectively. Results. Among all the techniques, the model designed using Random Forest Regression shows the best performance, and Gradient Boosting Regression is the second best model. In the case of healthy samples, the model achieved a MAD of 2.51 years for training data and 4.85 for testing data. Also, for diseased samples, a MAD of 3.83 years is obtained for training and 9.53 years for testing. Conclusion. These results showed that the proposed model can predict age for healthy and diseased samples.
News Communication Value Evaluation Algorithm Based on Deep Neural Network
Authors: Zhang Di
Published: January 2022

The evaluation of the value of news communication is an area that deserves more attention, but there has been a dearth of specific research in this area. We must first determine the positioning of the news dissemination activity in order to study the mechanism for evaluating the effect of news dissemination. Fundamentally, assessing the impact of news dissemination is a dialectical balance of accuracy and effectiveness. I can conduct research from the three dimensions of policy orientation, communication orientation, and audience orientation and scientifically evaluate the effect of news communication on a qualitative and quantitative basis, based on the main body of the publisher. With only a small amount of labelled data, a high-quality news propagation value evaluation can be achieved. The value is rationally searched in the era of algorithm recommendation. The traditional “personalised recommendation algorithm” caters to the audience’s interests in one direction, with the goal of gaining their attention and commercial success. The “personalised recommendation algorithm” primarily uses statistical methods in the processing of news information, such as user’s basic information and behaviour information, and does not investigate the attributes and functions of news facts or the quality of news information itself. The research proposed in this paper suggests attempting to design an algorithm based on “news value.” First, it is based on the premise of a rational and caring “public person” who is concerned about the public interest, as well as professional journalistic news selection criteria. “News value” is a theoretical foundation for algorithm design that considers not only the publicity of news but also the audience’s interests. More importantly, this type of algorithm is designed to judge the quality and value of information based on how well the information is understood and then make a decision, returning to the essence of news facts and information.
Pricing Strategies of Dual-Recycling Channels considering Refurbishing and Remanufacturing of WEEE
Authors: Tan Manyi , Wang Bin , Zheng Kaiwen , Cheng Hong
Published: January 2022

This article studies pricing strategies of the dual-channel recycling supply chain where the manufacturer and the recycler compete on price in recycling waste electrical and electronic equipment (WEEE) and cooperate in disposing of them. This article is based on whether the recycler can refurbish and distinguish two different treatment methods of WEEE: refurbishment by the recycler and remanufacturing by the manufacturer. Two dual-channel recycling structures are proposed: (1) the recycler cannot refurbish when the manufacturer remanufactures; (2) the recycler can refurbish when the manufacturer remanufactures. By solving two Stackelberg game models, we derive pricing strategies. The impacts of recycled products’ quality and base profit for remanufacturing and refurbishing on pricing strategies are discussed. We find that the recycler prefers refurbishing when its base profit for refurbishment is greater than the manufacturer’s base profit for remanufacturing, rather than the transfer price. Interestingly, the recycler’s refurbishment does not reduce the manufacturer’s profits but creates a win-win situation through their cooperation. Furthermore, the better quality of recycled products and the higher base profit for refurbishing and remanufacturing can bring more profit to the recycler and the manufacturer, increase the recycling prices, improve the efficiency of resource utilization, and reduce environmental pollution.
Clinical Observation on the Treatment of Chronic Subjective Dizziness by the Herbal-Scraping Duplex Method Based on Holographic Theory
Authors: Luo Huanwen , Liu Caidan , Xiao Ziwei , He Yana
Published: January 2022

Chronic subjective dizziness (CSD) is a chronic, subjective, nonrotational dizziness and instability caused by mental or physical factors, and patients generally have no existing vestibular system diseases. Clinically, antianxiety drugs are often used for symptomatic treatment with mediocre effects. This study observed the clinical efficacy of the herbal-scraping duplex method in the treatment of CSD based on the holographic theory. 180 patients with CSD were randomly and equally divided into group A (n = 60) who received fluoxetine hydrochloride, group B (n = 60) who received fluoxetine hydrochloride combined with holographic soup, and group C (n = 60) who received fluoxetine hydrochloride, holographic soup, and holographic scraping combined with five-element music. The effects of the 3 different treatment modalities on patients’ vertigo symptoms, traditional Chinese medicine (TCM) symptoms, anxiety and depression status, sleep quality, and fatigue level were observed. The safety of medication and the recurrence after discontinuation were observed. The results showed that group C was better than group B and group A in terms of improvement in all of the above indicators, and group B was better than group A (

P
<
0.05

). The total efficiency of Chinese and Western medicine was better in groups C and B than in group A (

P
<
0.05

). No statistical difference was seen in the comparison of adverse reaction rates between the 3 groups (

P
>
0.05

). After 1 month of drug discontinuation, the recurrence rates in groups C and B were lower than those in group A (

P
<
0.05

). This suggests that the clinical efficacy and safety of applying the herbal-scraping duplex method based on holographic theory for the treatment of CSD is ideal and has the value of promotion.
In Vivo Modeling of Patient Genetic Heterogeneity Identifies New Ways to Target Cholangiocarcinoma
Authors: Younger Nicholas T. , Wilson Mollie L. , Martinez Lyons Anabel , Jarman Edward J. , Meynert Alison M. , Grimes Graeme R. , Gournopanos Konstantinos , Waddell Scott H. , Tennant Peter A. , Wilson David H. , Guest Rachel V. , Wigmore Stephen J. , Acosta Juan Carlos , Kendall Timothy J. , Taylor Martin S. , Sproul Duncan , Mill Pleasantine , Boulter Luke
Published: January 2022

Intrahepatic cholangiocarcinoma (ICC) is an aggressive malignancy of the bile ducts within the liver characterized by high levels of genetic heterogeneity. In the context of such genetic variability, determining which oncogenic mutations drive ICC growth has been difficult, and developing modes of patient stratification and targeted therapies remains challenging. Here we model the interactions between rare mutations with more common driver genes and combine in silico analysis of patient data with highly multiplexed in vivo CRISPR-spCas9 screens to perform a functional in vivo study into the role genetic heterogeneity plays in driving ICC. Novel tumor suppressors were uncovered, which, when lost, cooperate with the RAS oncoprotein to drive ICC growth. Focusing on a set of driver mutations that interact with KRAS to initiate aggressive, sarcomatoid-type ICC revealed that tumor growth relies on Wnt and PI3K signaling. Pharmacologic coinhibition of Wnt and PI3K in vivo impeded ICC growth regardless of mutational profile. Therefore, Wnt and PI3K activity should be considered as a signature by which patients can be stratified for treatment independent of tumor genotype, and inhibitors of these pathways should be levied to treat ICC.

Significance:

This work shows that, despite significant genetic heterogeneity, intrahepatic cholangiocarcinoma relies on a limited number of signaling pathways to grow, suggesting common therapeutic vulnerabilities across patients.
Impact of NILM-based energy efficiency on environmental degradation and kuznets hypothesis analysis
Authors: Kee Keh-Kim , Lim Yun Seng , Wong Jianhui , Chua Kein-Huat
Published: January 2022

Nonintrusive load monitoring (NILM) breaks down the aggregated electrical consumption data into individual appliances. The feedback of disaggregated data to the consumers enables awareness and behaviour change to conserve electricity, consequently reducing CO2 emissions to the environment. However, the limited literature regarding the impact of NILM and Kuznets hypothesis (EKC) analysis on CO2 emissions reduction has restricted policymakers in developing effective mitigation measures. This work aims to assess the impact of NILM-based based energy efficiency (EE) on environmental improvement. The combined approach of scenario simulation and EKC analysis was adopted to gauge the effectiveness of NILM that leads to sustainable development. The monotonically increase relationship between environmental degradation and economic growth in Malaysia without peaking beyond 2030 implies that the current mitigation measures and policies imposed may not effectively cope with the future power demands for sustainable development. NILM-based EE measures could be a great potential for reducing CO2 emissions by 10.2%. The inverted-U curves and reduced turning points of environmental degradation from the income level of USD 20,063.36 to USD 16,305.19. Therefore, NILM approach can accelerate sustainable development with lower environmental deterioration. The work may beneficial to policymakers to analyse the impact and effectiveness of mitigation measures quantitatively.
Audio steganography with enhanced LSB method for securing encrypted text with bit cycling
Authors: Abood Enas Wahab , Abdullah Abdulhssein M. , A. Al Sibahe Mustafa , Abduljabbar Zaid Ameen , Nyangaresi Vincent Omollo , Ahmad Ali Kalafy Saad , Jalil Jassim Ghrabta Mudhafar
Published: January 2022

Data security pressing issue, particularly in terms of ensuring secure and reliable data transfer over a network. Encryption and seganography play a fundamental role in the task of securing data exchanging. In this article, both steganography and cryptography were combined to produce a powerful hybrid securing stego-system. Firstly, a text message is encrypted with a new method using a bits cycling operation to give a cipher text. In the second stage, an enhanced LSB method is used to hide the text bits randomly in an audio file of a wav format. This hybrid method can provide effectually secure data. Peak signal-to-noise ratio (PSNR), mean squared error (MSE) and structural similarity (SSIM) were employed to evaluate the performance of the proposed system. A PSNR was in range (60-65) dB with the enhanced least significant bit (LSB) and the SSIM had been invested to calculate the signal quality, which scored 0.999. The experimental results demonstrated that our algorithm is highly effective in securing data and the capacity size of the secured text. Furthermore, the time consumption was considerably low, at less than 0.3 seconds.
Ergodic capacity computation in cognitive radio aided non-orthogonal multiple access systems
Authors: Do Dinh-Thuan , Le Chi-Bao
Published: January 2022

In this article, the performance of cognitive radio system benefits from non-orthogonal multiple access (NOMA) scheme. We then examine system metrics to adjust its quality of signal processing. We focus on performance of the secondary network containing NOMA users which have some impacts from normal user and primary nodes. We refer to enhancement of the fairness and spectrum utilization by enabling spectrum sharing. In particular, the NOMA power allocation factors are assigned to provide different ergodic capacities for two NOMA users in the downlink of such cognitive radio-non-orthogonal multiple access (CR-NOMA) system. This article presents approximated ergodic capacity of secondary users, in which this system adopts the Rayleigh fading. The closed-form expressions are expected to match with Monte-Carklo simulation results and main system parameters can be determined to control performance of such CR-NOMA. Finally, this system is prominent once its performance outperforms than that of conventional orthogonal multiple access (OMA)-based system.
Reliability and performance analysis of a mini solar home system installed in Indonesian household
Authors: Megantoro Prisma , Aldi Kusuma Hafidz Faqih , Reina Sinta Adisti , Abror Abdul , Awalin Lilik Jamilatul , Afif Yusrizal
Published: January 2022

During the COVID-19 pandemic since early 2020 in Indonesia, the demand for electrical energy in the housing sector has increased significantly. This is due to the government’s recommendation to reduce activities on the outside and work from home, specifically for educational and entertainment activities. Those are almost recommended to be done online. Many people complain about the increase in monthly electricity payments compared to before the pandemic. The construction of solar power plants in housing/solar home systems (SHS) will reduce the electricity consumption from the public grid. This SHS installation can be used to supply some household electricity needs, such as computers, televisions, internet facilities, lighting, et cetera. In this article, the researchers discuss the performance testing of SHS with a capacity of 300 Wp. It is installed in the house buildings accompanied by the design and measurement of solar energy potential.
Enhanced 5G contender based flat top weighted window communication systems
Authors: Mahmood Omar Abdulkareem , Hammadi Yousif I.
Published: January 2022

To create a new transmission phenomenon, the availability of good data rates, the development of the internet of things (IoT), and different machine type communications (MTC) developed the ability to converse without synchronization, or the need for routing overhead in the form of synchronization overhead, while using mixed legacy fourth generation (4G) systems, based on orthogonal frequency division multiplexing, cannot meet these requirements (OFDM). Many waveform alternatives for OFDM have been proposed, including FBMC, GFDM, UFMC, and filtering-OFDM, in order to meet the criteria of the next generation system F-OFDM. As a consequence, a revolutionary filter based on a flat top weighted window is described in this work, where simulation results indicate that the suggested method outperforms prior designs in regard to spectral adeptness increased substantially acrros the deminish in the required side-information as overhead of the synchronization process. The trasitional F-OFDM uses root-raised-cosine filter. However, in this paper, novel filter design was proposed, whis is simple and real-time construction capability. This new filter is built around legacy filters, where the new filter is a combination of different filters to make use of various advantages of the old filters and get rid of the disadvangages. The power spectral density (PSD), -157.2 dBW/Hz, which is outstanding CP-OFDM-PSD, -50 dBW/Hz.
Primary Aldosteronism: Where Are We Now? Where to From Here?
Authors: Funder John W. , Carey Robert M.
Published: January 2022

Primary aldosteronism, the most common secondary form of hypertension, is thought to be present in ≈5% to 10% of hypertensive adults. However, recent studies indicate that its prevalence may be at least 3-fold higher based on the identification of renin-independent (autonomous) aldosterone production that is not suppressible with dietary sodium loading in a large fraction of adults with primary hypertension. Currently, the screening rate for primary aldosteronism in adults with primary hypertension is <1%. This review summarizes current thinking about primary aldosteronism from the standpoint of 3 key questions: Where are we now? Where to from here? So how do we get there?
Development and Evaluation of Global Korean Aviation Turbulence Forecast Systems Based on an Operational Numerical Weather Prediction Model and In Situ Flight Turbulence Observation Data
Authors: Lee Dan-Bi , Chun Hye-Yeong , Kim Soo-Hyun , Sharman Robert D. , Kim Jung-Hoon
Published: January 2022

A global Korean deterministic aviation turbulence guidance (G-KTG) system and a global Korean probabilistic turbulence forecast (G-KPT) system are developed using outputs from the operational Global Data Assimilation and Prediction System of the Korea Meteorological Administration, and the performance skill of the systems are evaluated against in situ flight eddy dissipation rates (EDRs) recorded for one year (September 2018–August 2019). G-KTG and G-KPT consider clear-air turbulence (CAT) and mountain wave turbulence diagnostics, while G-KTG additionally considers near-cloud turbulence (NCT) diagnostics. In the G-KTG system, the various combinations of deterministic EDR forecasts are tested by different ensemble means of individual turbulence diagnostics. In the G-KPT system, the probabilistic forecast is established by counting the number of diagnostics that exceed a certain threshold for strong intensity turbulence on the given model grid. The evaluation results of the G-KTG system based on the area under the relative operating characteristic curve (AUC) reveal that G-KTG, which consists of CAT and NCT diagnostics, shows the highest AUC value among the various G-KTG combinations; in addition, the summertime performance is significantly improved when NCT diagnostics are included. In the evaluation results of the G-KTG system over the globe, U.S., and East Asia regions, the recent graphical turbulence guidance system–based G-KTG shows better performance than the regional KTG–based G-KTG for all three regions. For all altitude bands, the G-KPTs with 40% probability as the minimal threshold for alerting forecasters of strong turbulence show higher values of true skill statistic than the G-KTGs.
Modeling Impression Formation Processes Among Chinese and Americans
Authors: Zhao Jun
Published: January 2022

This study offers the first investigation on the normative processes through which Chinese form impressions of others in social interaction. Using affect control theory and its archived sentiment data from China, I estimate the Chinese impression formation models with a new Bayesian method. I then compare the Chinese models to the impression formation dynamics in U.S. English. Results show cross-cultural commonality in the affective processing of cultural concepts, with determinants of impression formation processes being largely universal. Findings also reveal two cultural variations that align with patterns uncovered by comparative cross-cultural research: (1) the Chinese models show less rigidity in the definition of situation and (2) across two cultural models, the balance term has opposite effects on actor and behavior evaluation. To explore the implications of the impression models, I present a series of simulations, illustrating the predictive power of affect control theory as well as the impact of different cultural rules on social interaction.
Changes in Imaging Utilization for Primary Hyperparathyroidism
Authors: Abraham Mackenzie N. , Abraham Peter J. , Lindeman Brenessa , Chen Herbert
Published: January 2022

Introduction

Primary hyperparathyroidism is now largely managed surgically via minimally invasive techniques. This shift was aided by preoperative imaging, which saw drastic increases in utilization in the 1990s. Since then, it is unclear how the role of preoperative imaging has changed with regard to surgical management of primary hyperparathyroidism. This study aims to describe the trend in preoperative localization techniques for surgical management of primary hyperparathyroidism using career data from two endocrine surgeons over the last 20 years.

Methods

Parathyroid case data was obtained from two endocrine surgeons spanning two institutions from 2000-2018. Demographic and clinical data was obtained for each patient at the time of surgery, including record of any preoperative imaging performed. Data was analyzed temporally using four 5-year periods to evaluate changes in imaging utilization over time.

Results

1734 patients were identified who underwent parathyroidectomy for primary hyperparathyroidism. Mean age of the cohort was 60 years (range 10-94) with 78% being female. Overall, we identified a significant decrease in imaging utilization over the time periods (see table, P < .05). Ultrasound and CT use increased, while frequency of sestamibi and thallium-technetium scans decreased. Length of stay was also noted to decrease over time. There was no significant difference in cure rates between the four time periods, though recurrence was found to decrease over time.

Conclusion

The rates of preoperative imaging and length of stay decreased over time for surgical management of primary hyperparathyroidism. Despite the decrease in imaging, cure rates have appeared to remain the same.
Do People Know How Their Romantic Partner Views Their Emotions? Evidence for Emotion Meta-Accuray and Links with Momentary Romantic Relationship Quality
Authors: Tissera Hasagani , Heyman Jennifer L. , Human Lauren J.
Published: January 2022

Do people know how their romantic partner (i.e., the perceiver) views the self’s (i.e., the metaperceiver’s) emotions, displaying emotion meta-accuracy? Is it relevant to relationship quality? Using a sample of romantic couples ( Ncouples = 189), we found evidence for two types of emotion meta-accuracy across three different interactions: (a) normative emotion meta-accuracy, knowing perceivers’ impressions of metaperceivers’ emotions that are in line with how the average person may feel, and (b) distinctive emotion meta-accuracy, knowing perceivers’ unique impression of metaperceivers’ emotions. Furthermore, across interactions, normative emotion meta-accuracy was positively related to momentary relationship quality for metaperceivers and perceivers and this link was especially strong in the conflict interaction. Distinctive emotion meta-accuracy was negatively related to momentary relationship quality across interactions for perceivers and in the conflict interaction for metaperceivers. Overall, it may be adaptive for metaperceivers to accurately infer perceivers’ normative impressions and to remain blissfully unaware of their unique impressions.
Operational and Safety Performance Evaluation of Parallel Flow Intersection
Authors: Abo-Bakr Salma , Esawey Mohamed El , Osama Ahmed
Published: January 2022

Unconventional arterial intersection designs have recently gained popularity as an alternative solution to alleviate congestion and mitigate safety problems of at-grade signalized intersections. This study investigates the operational and safety performance of the parallel flow intersection (PFI) under different balanced and unbalanced traffic volume conditions in comparison with a conventional counterpart using VISSIM microsimulation and Surrogate Safety Assessment Model software. The operational performance of the two intersections was based on the overall intersection capacity and the average vehicle delay. The safety performance, on the other hand, was based on the number and severity of simulated conflicts. The results showed that the PFI had a higher capacity compared with the conventional intersection under balanced volume conditions. Under unbalanced volume levels, the PFI outperformed the conventional intersection especially with an increase of left-turn volumes. Moreover, the PFI enhanced the safety conditions relative to the conventional intersection by eliminating all the crossing conflicts under all balanced and unbalanced volume levels and reducing the total number and severity of conflicts at all volume conditions. The study provides guidelines for the optimal spacing distance between the main and secondary intersections for the implementation of the PFI based on its safety and operational impacts on the intersection.
ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data
Authors: Jensch Antje , Lopes Marta B. , Vinga Susana , Radde Nicole
Published: January 2022

The extraction of novel information from omics data is a challenging task, in particular, since the number of features (e.g. genes) often far exceeds the number of samples. In such a setting, conventional parameter estimation leads to ill-posed optimization problems, and regularization may be required. In addition, outliers can largely impact classification accuracy.

Here we introduce ROSIE, an ensemble classification approach, which combines three sparse and robust classification methods for outlier detection and feature selection and further performs a bootstrap-based validity check. Outliers of ROSIE are determined by the rank product test using outlier rankings of all three methods, and important features are selected as features commonly selected by all methods.

We apply ROSIE to RNA-Seq data from The Cancer Genome Atlas (TCGA) to classify observations into Triple-Negative Breast Cancer (TNBC) and non-TNBC tissue samples. The pre-processed dataset consists of [Formula: see text] genes and more than [Formula: see text] samples. We demonstrate that ROSIE selects important features and outliers in a robust way. Identified outliers are concordant with the distribution of the commonly selected genes by the three methods, and results are in line with other independent studies. Furthermore, we discuss the association of some of the selected genes with the TNBC subtype in other investigations. In summary, ROSIE constitutes a robust and sparse procedure to identify outliers and important genes through binary classification. Our approach is ad hoc applicable to other datasets, fulfilling the overall goal of simultaneously identifying outliers and candidate disease biomarkers to the targeted in therapy research and personalized medicine frameworks.
Thinking, not talking, predicts knowledge level: Effects of media attention and reflective integration on public knowledge of nuclear energy
Authors: Ho Shirley S. , Chuah Agnes S. F.
Published: January 2022

By applying the cognitive mediation model, this study seeks to investigate factors influencing public knowledge of nuclear energy in Singapore. In addition, this study seeks to extend the cognitive mediation model by explicating the knowledge variable into four facets – general science knowledge, perceived familiarity, content nuclear knowledge and contextual nuclear knowledge. Using data collected from an interviewer-led door-to-door survey with 1000 Singapore citizens and permanent residents (PRs), we found that attention to TV news, website news and social media news stimulated news elaboration and interpersonal discussion. However, attention to print newspaper was neither associated with news elaboration nor interpersonal discussion. We also found that news elaboration could enhance factual knowledge such as general science knowledge, content nuclear knowledge and contextual nuclear knowledge, while interpersonal discussion could enhance perceived familiarity. Theoretical and practical implications are discussed.
Family Routines Within Caregiver-Implemented Early Interventions: A Scoping Review
Authors: Romano Mollie , Lorio Ciera , Delehanty Abigail , Eugenio Johanna , Abarca Diana , Trivedi Bhairvi , Brown Jennifer A.
Published: January 2022

Family routines provide young children with predictable, repeatable, and functional contexts for learning about the world. Participating in family routines is a critical pathway by which all children learn. While the use of family routines in caregiver-implemented interventions (CIIs) is supported by theories, research, and recommended practices, few investigations examine the degree to which interventions take place within routines across developmental domains in early childhood intervention research. We conducted a scoping review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist to examine an interdisciplinary body of CIIs. We coded 42 articles for the presence and types of routines, child and family demographics, developmental targets, and how routines were identified within CIIs. Autism spectrum disorder was the highest represented disability; many studies included play routines or a combination of play with another routine. In this article, we discuss the importance of family routines in CIIs, how to jointly identify a range of routines with caregivers, and we describe the need for research on family routines in CIIs across disabilities and diverse family backgrounds.
Squid Game(s)
Authors: Borchard Kurt
Published: January 2022

Here, the author presents a sequentially yet nonlinearly organized collage of previously published writing, curated under the title “Squid Game(s).” The collage is composed entirely of decontextualized quotations. The excerpts include reviews and analysis of the Netflix series Squid Game; excerpts from accounts and analysis of the Holocaust, Nazism, and their representation; discussions of homeless men paid to attack each other in a video series; and texts drawn from contemporary social theory. The collage, as an experiment, offers readers an opportunity for recontextualization through their own associative sense-making. Readers determine what is important information, what might be fruitfully compared and contrasted, and how a viral hit television program might come to “mean.”
Cardiac and Pulmonary Diagnoses and Advance Care Planning in Home Health
Authors: Bigger Sharon E. , Haddad Lisa , Glenn Lee
Published: January 2022

Chronic cardiovascular and pulmonary diseases are prevalent in the US home health population. Heart failure and chronic obstructive pulmonary disease are both chronic and terminal, but they are not always perceived as serious illnesses with imminent death. Therefore, they provide a context for advance care planning that is distinct from the diagnostic contexts of cancer, end-stage renal disease, or dementia. Advance care planning is defined as a process that supports adults at any age or stage of health in understanding and sharing their goals, values, and preferences about future medical care, including the designation of a surrogate decision-maker. This study tests the hypothesis that US home health agencies with higher percentages of patients with chronic cardiovascular and pulmonary conditions have less robust advance care planning protocols. The Spearman correlation coefficient was r = 0.22 ( S = 74684, P = .025, 1-tailed), which was statistically significant and an unexpected finding. The greater percentage of patients with chronic cardiac and pulmonary diagnoses in an agency, the more robust the advance care planning protocol was. This supports our previous findings and existing literature indicating that agencies may be using exacerbation events marked by acute care use as opportunities to initiate or repeat advance care planning.
Experimental research on the friction and leakage of the metal rubber seal for reciprocating motion
Authors: Zhao Yalei , Yan Hui , Dong Shuai , Jiang Tianyi , Jiang Hongyuan
Published: January 2022

Metal seals are widely used to solve the sealing problem in severe conditions. For reciprocating motion sealing problems, a metal rubber seal was proposed by combining the metal rubber (MR) materials with an axial opening C-shape jacket. In this research, to study the reciprocating sealing performance of metal rubber seals, a series of leaking experiments were carried out with a dynamic sealing test system. The friction force of the MR seal was measured under a variety of hydraulic pressure and velocity conditions. The static leakage principle of MR seals for axial sealing was presented based on Persson’s contact mechanics, and a circular gap leakage model was employed to describe the leakage during reciprocating motions. The static and dynamic leakage experiments of metal rubber seals for axial sealing were conducted, and the influence factors of leakage rates were analyzed.
The morbid romance of the good job: News and the emotional social imaginary in late capitalism
Authors: Payson Alida , Moore Kerry
Published: January 2022

The question of how to identify and secure ‘good’ jobs has long confounded researchers, politicians and workers alike, and seems only to have intensified post-2008 recession and with the COVID-19 pandemic. Indeed, late capitalism seems to be defined by a widening disconnect between the optimism of economic indicators and the grim reality of many people’s everyday working lives and livelihoods. Yet, hope that good jobs will guarantee a good future stubbornly persists, with profound consequences for public investments of all kinds. Research on the social imaginary has explored how common-sense ideas come to grip us through discourse. At the same time, research into the politics of emotion and affect has demonstrated how public feelings like hope might attach us to (and entrap us in) particular economic circuits and futures. However, scholars in these fields have not adequately addressed how emotion shapes the social imaginary in everyday discourse. Yet, understanding how emotion might form specific social imaginaries of ‘good jobs’, and attach publics to them, is vital to understanding how and why we keep deeply investing in economic systems that injure our wellbeing, equity and environment. Here, we address this gap by tracking feelings, figures and metaphors in a case study of news about jobs in a moment of crisis. We theorise what emerges as a ‘morbid romance’, a romantic, gendered, mythical ideal of good industrial jobs and good entrepreneurship that is always haunted by a morbid awareness of the threat of job loss, bad jobs and post-industrial death. Beyond our case study, as the pandemic produces profound shifts in working lives, we argue that the morbid romance of the good job can help us to understand the structure of feeling and social horizon of late capitalism.
Investigation of thermal comfort performance and optimization of a novel refrigerant-heated radiator
Authors: Zhang Huan , Tao Ming , Jiang TingTing , Zheng Wandong
Published: January 2022

In this study, a novel refrigerant-heated radiator (RHR) was introduced and a computational fluid dynamics (CFD) model was developed to investigate the influence of RHR structure parameters on indoor thermal comfort under heating and cooling conditions. Results show that the heating capacity and thermal comfort are improved with the increase of length-to-height ratio, while the thermal comfort is infringed if the length-to-height ratio is too large in cooling conditions. The length-to-height ratio of the RHR with 2.22–3.71 is recommended to meet the thermal comfort requirements in heating and cooling conditions. Comparisons were made between the RHR and air conditioner on indoor thermal comfort, which indicates that the RHR has a better thermal comfort in heating conditions in terms of temperature field, velocity field and thermal comfort indices. Under cooling conditions, the air conditioner has lower temperature distribution and more uniform vertical temperature distribution in human activity area, while the RHR has the excellent performance in the velocity distribution and thermal comfort indices. The findings show RHR has a better thermal performance than air conditioners in terms of overall thermal comfort. The research provides a guide to the benefit of RHR and improves the thermal comfort of ASHP system.
Gender byline bias in sports reporting: Examining the visibility and audience perception of male and female journalists in sports coverage
Authors: Boczek Karin , Dogruel Leyla , Schallhorn Christiana
Published: January 2022

Gender-based marginalization and discrimination in sports journalism is an ongoing concern of research addressing gender equality in journalism. The visibility of female reporters as authors in terms of sports coverage has been found to be under 10% in content analysis that spans several countries. Research into audiences’ perceptions of authorship in sports journalism further found female authors to be prone to byline biases—even though findings are mixed. In this article, we set out to examine if the under representation of female sport authors has changed over the time span of 15 years. This is explored by conducting a content analysis of news coverage from 2006 to 2020 (Study 1). Further, we study whether biases against female authors in sports coverage (still) exist among recipients and in how far this is different for male and female sports. To address audience perceptions of gender in sport reporting, we performed an online experiment investigating the effect of female and male authorship as well as men’s and women’s football (soccer) as one of the most popular topic of sport reporting (Study 2). We found that female authorship in sports journalism is still marginalized without any significant improvement observed from 2006 to 2020 (Study 1). This contrasts with our findings on audiences’ perceptions of male and female authors, which did not confirm a gender byline bias (Study 2). Our results therefore suggest that gender discrimination in newsrooms cannot be justified by audience perceptions.
Improving Organizational Sustainability of an Urban Indian Health Clinic With an Innovative Pharmacy Model
Authors: Gallegos Noah , Fitzgerald Leah , Versackas Alex , Sherer Erica , Valdez Connie
Published: January 2022

Introduction:

To increase access to care for the urban American Indian population, a collaboration was developed between an Urban Indian Health Clinic (UIHC) and Federally Qualified Healthcare Center (FQHC) to reduce financial barriers, increase patient access to affordable medications, and augment the integrated model of care.

Objective:

To describe the design and implementation of an innovative pharmacy model through a partnership between an UIHC and a FQHC.

Methods:

A collaborative partnership between an UIHC and a FQHC was developed to spread scarce 340B federal resources as a method to enhance patient care. The innovative practice model included the development of processes to (1) increase medication access to all patients by providing access to affordable medications at clinic and the provision of mail order services, (2) minimize program expenses through cost-sharing of a pharmacist salary, (3) expand clinical pharmacy programs (collaborative drug therapy management) to augment integrated patient care, and (4) optimize 340B cost savings for the clinic by establishing contracts and implementing adjudication software to obtain medication reimbursement from Medicaid and other third party insurances.

Results:

Through the cost-sharing of a pharmacist salary and use of remote verification, the majority of prescription medications were available to patients at the UIHC through implementation and expansion of an other outlet. Collaborative drug therapy management (CDTM) protocols were successfully implemented which allowed clinical pharmacy services to collaboratively manage chronic conditions. All adult primary care providers adopted the integrated patient care model. Third-party pharmacy insurance contracts were obtained and computer software was installed to allow for the adjudication of pharmacy claims, resulting in cost savings from medication reimbursement.

Conclusion:

The innovative collaborative partnership between an UIHC and an FQHC demonstrated how scarce federal resources can be leveraged using the 340B program to increase patient access to affordable medications. This innovative model reduced financial barriers to the clinic, and allowed for expansion of pharmacist led CDTM programs and augmentation of integrated clinical services. The cost savings observed from this novel program additionally fueled programmatic sustainability through reinvestment into the pharmacy program and is expected to continue to fund the program in the future.
Evaluation of urban planning methods toward bioclimatic and resilient urban spaces
Authors: Chondrogianni Dimitra V , Stephanedes Yorgos J
Published: January 2022

Open urban spaces play a key role in achieving city resilience, the urban ability to survive in extreme conditions caused by phenomena such as heat waves and urban heat islands and to absorb change and disruption. Urban regeneration planning and intervention design are critical for providing thermal and wind comfort to citizens and enhancing urban resilience. Supporting decision makers, the microclimate created in urban planning use cases is simulated to identify, assess, and rate the bioclimatic impacts of alternative plans. The Bioclimatic Index is proposed based on the simulation results and the rated plans to strengthen evaluation of urban regeneration plans and interventions that empower urban microclimate and resilience. The methodology is applied to an abandoned space in the Old Port of Patras, Greece, of wet Mediterranean climate, and can be extended to urban areas with similar characteristics.
Exploring the Presence of Avant-Garde in the Graphic Novel: Bhimayana
Authors: Pradhan Rohit
Published: January 2022

This article attempts to understand the content and aesthetic of the graphic novel Bhimayana: Experiences of Untouchability, in determining if its nature could be understood as a work of the avant-garde. In order to do so, the article will closely examine the aesthetic style employed by the author, the essence of the story, the content and the nature of its publication. These aspects will then be linked to the various understandings of the avant-garde to find out whether the graphic novel resonates with the principles of questioning ideas, methodologies and power structures.