bluuebunny/crossref_metadata_2025 huggingface dataset:
Low-frequency ultrasound irradiation increases paclitaxel-induced sarcoma cells apoptosis and facilitates the transmembrane delivery of drugs
Authors: Yang Tana , Zhang Yixuan , Wang Tan , Li Mo , Zhang Ying , Zhao Dan , Xu Libin , Wang Xiaobing
Published: December 2022

Sarcoma is a malignant tumor derived from interstitial tissues and requires comprehensive treatment including chemotherapy. Paclitaxel (PTX) is an active agent against sarcoma, but its effect is not sufficiently acceptable and needs to be improved. Low-frequency ultrasound (LFU) has been documented to improve the efficacy of drugs by inducing reversible changes in membrane permeability; however, the effects of the combined use of LFU and PTX for sarcoma tumors remain unclear and warrant further investigation. We investigated the effects of 30 kHz LFU treatment combined with PTX on sarcoma cells A-204 and HT-1080 by analyzing in vitro apoptosis and cell growth inhibition rates, and determined their antitumor effects by examining tumor weights with or without LFU in the S180 sarcoma xenograft model. Drug concentrations in the subcutaneous tumors were measured using high performance liquid chromatography (HPLC). LFU combined with PTX significantly induced cell apoptosis, and blocked the cell cycle of sarcoma cells in G2/M phase, and furthermore, inhibited the activation of JAK2/STAT3 signaling pathway. Meanwhile, LFU combined with PTX inhibited the expression of PD-L1 in vitro, suggesting the potential of enhanced antitumor immunity by this treatment. LFU combined with PTX significantly inhibited the growth of S180 tumors transplanted subcutaneously in Institute of Cancer Research (ICR) mice, and its enhanced effect may be associated with increased local concentrations of PTX in tumor tissues in vivo, with no significant adverse subsequences on body weight observed. We conclude that the combination of LFU and PTX has synergistic antitumor effects and is a candidate for subcutaneous treatment of sarcoma by further increasing the intracellular concentration of PTX.
Kuhuang alleviates liver fibrosis by modulating gut microbiota-mediated hepatic IFN signaling and bile acid synthesis
Authors: Shen Bo , Zhou Cui , Gu Tianyi , Shen Zhenyang , Guo Yuecheng , Dai Weiming , Liu Yang , Zhang Jie , Lu Lungen , Dong Hui
Published: December 2022

Background: Liver fibrosis is a common outcome of the pathological progression of chronic liver disease; however, no specific and effective therapeutic agent has been approved for its treatment. We investigated the effects of Kuhuang on liver fibrosis and the underlying mechanisms of action.

Materials and methods: To induce hepatic fibrosis, either 3,5-diethoxycarbonyl-1,4-dihydro-collidine (DDC) diet was administered, or bile duct ligation (BDL) surgery was performed on C57BL/6 mice. Kuhuang was orally administered to mice for 7 days before and after bile duct ligation or 4 weeks with a DDC diet. Hematoxylin and eosin, Sirius red staining, and immunohistochemical analyses were performed to evaluate hepatic pathology. Hepatic interferon-β (IFN-β) levels were measured using an enzyme-linked immunosorbent assay. RNA sequencing was performed to examine the gene expression profiles of liver tissues. The mRNA expression of inflammatory, profibrotic, and bile acid (BA)-related genes was further validated by qRT-PCR. A targeted metabolomics assay revealed the alteration of the hepatic bile acid (BA) composition. The composition of the gut microbiota was determined via 16S rRNA sequencing.

Results: Treatment with Kuhuang attenuated liver fibrosis and reduced the inflammatory response in bile duct ligation and DDC mouse models. In addition, the hepatic IFN signaling pathway was activated following Kuhuang treatment. Kuhuang treatment also significantly decreased hepatic levels of both primary and secondary BAs. In addition, Kuhuang treatment altered gut microbiota composition, with an increased abundance of interferon-inducing Akkermansia and decreased abundance of bile salt hydrolase-producing Lactobacillus, Clostridium, and Bifidobacterium. Furthermore, the abundance of Akkermansia was positively correlated with the hepatic mRNA expression levels of Ifna4, Ifnb, and Isg15, whereas that of Lactobacillus, Clostridium-sensu-stricto-1, and Bifidobacterium was positively correlated with levels of bile acid synthesis-related genes.

Conclusion: Our results suggest that Kuhuang plays a protective role during the progression of liver fibrosis, potentially by altering the composition of the gut microbiota, which consequently activates interferon signaling and inhibits bile acid synthesis in the liver.
Assessment of digestates prepared from maize, legumes, and their mixed culture as soil amendments: Effects on plant biomass and soil properties
Authors: Hammerschmiedt Tereza , Kintl Antonín , Holatko Jiri , Mustafa Adnan , Vitez Tomas , Malicek Ondrej , Baltazar Tivadar , Elbl Jakub , Brtnicky Martin
Published: December 2022

Digestate prepared from anaerobic digestion can be used as a fertilizer, as it contains ample amounts of plant nutrients, mainly nitrogen, phosphorous, and potassium. In this regard, digestates produced from mixed intercropped cereal and legume biomass have the potential to enrich soil and plants with nutrients more efficiently than monoculture-based digestates. The objective of this study was to determine the impact of different types of digestates applied at a rate of 40 t·ha-1 of fresh matter on soil properties and crop yield in a pot experiment with lettuce (Lactuca sativa) as a test crop. Anaerobic digestion of silages was prepared from the following monocultures and mixed cultures: broad bean, maize, maize and broad bean, maize and white sweet clover, and white sweet clover. Anaerobic digestion was performed in an automatic custom-made system and applied to the soil. Results revealed that fresh and dry aboveground biomass as well as the amount of nitrogen in plants significantly increased in all digestate-amended variants in comparison to control. The highest content of soil total nitrogen (+11% compared to the control) and urease (+3% compared to control) were observed for maize digestate amendment. Broad bean digestate mediated the highest oxidizable carbon (+48%), basal respiration (+46%), and N-acetyl-β-D-glucosamine-, L-alanine-, and L-lysine-induced respiration (+22%, +35%, +22%) compared to control. Moreover, maize and broad bean digestate resulted in the highest values of N-acetyl-β-D-glucosaminidase and β -glucosidase (+35% and +39%), and maize and white sweet clover digestate revealed the highest value of arylsulfatase (+32%). The observed differences in results suggest different effects of applied digestates. We thus concluded that legume-containing digestates possibly stimulate microbial activity (as found in increased respiration rates), and might lead to increased nitrogen losses if the more quickly mineralized nitrogen is not taken up by the plants.
Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect
Authors: Liu Lei , Sun Wujun , Fang Ping , Jiang Yuan , Tian Li
Published: December 2022

Introduction

People’s forecasts of their future emotions play an essential role in their behavior and experience of well-being. However, their emotional reactions may fall short of what they expect, which has implications for subsequent decision making. The current paper investigated the accuracy of affective forecasting about resource allocations and how this (in)accuracy predicts future allocation decisions.

Methods

Two experimental studies were conducted. Study 1 (N = 84) examined the extent to which people can accurately predict how allocation decisions will feel using an ultimatum game on the part of the allocator. Study 2 tested whether the affective forecasting bias affects future allocation decisions, with 192 participants playing a two-round ultimatum game on the part of allocators.

Results

Study 1 found an affective forecasting bias, and people anticipated more powerful emotional reactions to both positive and negative allocation events than they actually experienced when the events occurred. Study 2 found that increased affective forecasting bias resulted in less generous decisions in positive event conditions and more generous decisions in negative event conditions.

Discussion

These results extend previous findings concerning affective forecasting bias and the feelings-as-information model in resource allocation interactions and show that the difference between anticipated and experienced emotion is also informative in allocation decisions. The results suggest that being more cautious when forecasting positive outcomes and more optimistic when forecasting negative outcomes can be beneficial to one’s well-being.
The impact of environmental information disclosure quality on green innovation of high-polluting enterprises
Authors: Du Lizhao , Wang Xinpu , Peng Jie , Jiang Gaoyang , Deng Suhao
Published: December 2022

With the gradual increase of social awareness of environmental protection, environmental information disclosure has become the key for enterprises to accept social supervision and fulfill their social responsibility. This study examines the high-polluting enterprises that were listed on Chinese A-shares between 2008 and 2021. The influence of environmental information disclosure quality on green innovation is examined using ordinary least squares (OLS) as a benchmark model. The results show that the improvement of environmental information disclosure quality of high-polluting enterprises can significantly improve the quantity and quality of green innovation of enterprises and are mediated by alleviating financing constraints and enhancing cash reserves. Moreover, improving the quality of environmental information disclosure of highly polluting enterprises has a more significant contribution to the quantity and quality of green patents of non-state-owned enterprises, enterprises located in central and eastern China, and large enterprises. The findings of this paper provide theoretical support for achieving a “win-win” situation of environmental protection and green innovation.
Mindfulness for mediating the relationship between self-control and alexithymia among Chinese medical students: A structural equation modeling analysis
Authors: Liu Chong , Cui Can , Sznajder Kristin K. , Wang Jiana , Zuo Xiaoxuan , Yang Xiaoshi
Published: December 2022

Backgrounds

Medical students are prone to experience alexithymia due to academic work overload, which could increase the prevalence of mental illness such as anxiety and depression. The purpose of our study was to estimate the levels of alexithymia and to explore the relationships between alexithymia, self-control, and mindfulness among medical students.

Materials and methods

From March 18th, 2021 to April 9th, 2021, a cross-sectional study with stratified sampling was carried out in China Medical University, Liaoning Province, China. A total of 1,013 medical students participated in this study. The questionnaires pertaining to the Toronto Alexithymia Scale (TAS-26), the Five Facet Mindfulness Questionnaire (FFMQ), and the Self-control Scale (SCS) were used to assess the levels of alexithymia, mindfulness and self-control. We used Hierarchical Multiple Regression (HMR) and structural equation modeling to explore the mediating role of mindfulness between self-control and alexithymia.

Results

The mean score of alexithymia in medical students was 69.39 ± 9.9. After controlling for confounders, males were more likely to experience alexithymia. Self-control, acting with awareness, describing, and observing in mindfulness were negatively associated with alexithymia (P < 0.01). Mindfulness mediated the relationship between self-control and alexithymia (a*b = −0.06, BCa 95% CI: −0.09 to −0.031, Percentile 95% CI: −0.089 to −0.031).

Conclusion

Chinese medical students experienced high levels of alexithymia. Self-control could directly attenuate alexithymia for medical students and indirectly affect alexithymia through the mediating path of mindfulness. Initiatives for self-control ability enhancement should be provided to medical students to combat alexithymia. And interventions on mindfulness training should be developed to prevent from alexithymia and promote their mental health.
Prescribed opioid use is associated with increased all-purpose emergency department visits and hospitalizations in community-dwelling older adults in the United States
Authors: Ge Song , Tian Chong , Wu Liang , Liu Minhui , Lu Haidong
Published: December 2022

Background

The geriatric and health characteristics of older adults make them more susceptible to the effects of opioids than younger groups. The number of older adults in the United States visiting the emergency department (ED) and overusing opioids has increased in recent years. Research examining their relationship is, however, limited.

Methods

Using information from the 2020 National Health Interview Survey (NHIS), we included older adults aged 65 and older. To investigate the relationship between prescribed opioid use and 12-months ED visits and hospitalizations, linear regression and logistic regression models were built while adjusting for age, sex, ethnicity, education, employment, general health status, history of depression, and living arrangement.

Results

Our study population consisted of 8,631 participants (mean age 74.3). Most of them were females (58.3%) and Caucasian (81.6%). About 16% of the participants used prescribed opioids over the past 12 months. Of the participants with prescribed opioid use, 65.1% of them did so to treat chronic pain. The adjusted regression models revealed that prescribed opioid use was independently and positively associated with 12-months ED visits (β = 0.22, 95% confidence interval [CI] 0.18, 0.26) and hospitalizations (Odds ratio [OR] = 3.78, 95% CI 3.29, 4.35). Other risk factors for 12-months ED visits and/or hospitalizations included advanced age, male gender, unemployment/retirement, African American ethnicity, living alone, fair or poor general health status, and history of depression.

Discussions

Clinicians should screen older adults at high risk for ED visits and hospitalizations and explore multimodal pain management with them to help them reduce/stop using opioids. These efforts may decrease their chronic pain, opioid use, opioid use-related adverse health outcomes, ED visits, as well as hospitalizations.
Accuracy of steps measured by smartphones-based WeRun compared with ActiGraph-GT3X accelerometer in free-living conditions
Authors: Yao Qinqin , Wang Jing , Sun Yucong , Zhang Li , Sun Shuangyuan , Cheng Minna , Yang Qinping , Wang Siyuan , Huang Ling , Lin Tao , Jia Yingnan
Published: December 2022

Objectives

The purpose of this study was to evaluate the accuracy and reliability of steps tracked by smartphone-based WeChat app compared with Actigraph-GT3X accelerometer in free-living conditions.

Design

A cross-sectional study and repeated measures.

Methods

A total of 103 employees in the Pudong New Area of Shanghai, China, participated in this study. The participants wore an ActiGraph-GT3X accelerometer during the period of August to September 2019 (Time 1), December 2019 (Time 2) and September 2020 (Time 3). Each time, they wore the ActiGraph-GT3X accelerometer continuously for 7 days to assess their 7-day step counts. The smartphone-based WeRun step counts were collected in the corresponding period when subjects wore accelerometers. The subjects were invited to complete basic demographic characteristics questionnaires and to perform physical examination to obtain health-related results such as height, body weight, body fat percentage, waist circumference, hip circumference, and blood pressure.

Results

Based on 103 participants' 21 days of data, we found that the Spearman correlation coefficient between them was 0.733 (P < 0.01). The average number of WeRun steps measured by smartphones was 8,975 (4,059) per day, which was higher than those measured by accelerometers (8,462 ± 3,486 per day, P < 0.01). Demographic characteristics and different conditions can affect the consistency of measurements. The consistency was higher in those who were male, older, master's degree and above educated, and traveled by walking. Steps measured by smartphone and accelerometer in working days and August showed stronger correlation than other working conditions and time. Mean absolute percent error (MAPE) for step counts ranged from 0.5 to 15.9%. The test-retest reliability coefficients of WeRun steps ranged from 0.392 to 0.646. A multiple regression analysis adjusted for age, gender, and MVPA/step counts measured during Time 1 showed that body composition (body weight, BMI, body fat percentage, waist circumference, and hip circumference) was correlated with moderate-to-vigorous intensity physical activity, but it was not correlated with WeRun step counts.

Conclusions

The smartphone-based WeChat app can be used to assess physical activity step counts and is a reliable tool for measuring steps in free-living conditions. However, WeRun step counts' utilization is potentially limited in predicting body composition.
Association of migration status with quality of life among rural and urban adults with rare diseases: A cross-sectional study from China
Authors: Zhang Huanyu , Chen Shanquan , Dong Dong
Published: December 2022

Background

A considerable proportion of rare disease patients decide to migrate to access a definitive diagnosis or appropriate care, which could affect their quality of life in a long term.

Objective

To compare quality of life (QoL) between migrants and residents and explore the possible mechanism of how migration influence the QoL among rural and urban adults with rare diseases, respectively.

Methods

A cross-sectional study at national level was conducted in a study sample of 1,150 adult patients in China. Migration was defined as being away from one's original place of residence for at least 12 months. Patients who remained in their place of residence in the past 12 months (“resident”) were treated as a comparison group for “migrants”. Original area of residence (rural vs. urban) for both residents and migrants was used for comparison. The brief version of the World Health Organization Quality of Life instrument was used to measure QoL. Multiple linear regression analyses were adopted to assess the direct association between migration status and QoL after controlling for the confounders that affect QoL. The indirect associations between migration status and QoL, mediated by potential mediators including number of family members living together, individual income, catastrophic health expenditure, and social support, were estimated using the mediation model.

Results

Among the group of rural participants, migration was directly associated with physical QoL (β = 5.07, 95% CI 2.01–8.13) and environmental QoL (3.95, 1.37–6.53), indirectly associated with physical QoL (0.58, 0.05–1.28) and social QoL (0.50, 0.01–1.16) via individual income, and also indirectly associated with environmental QoL (−0.47, −1.12 to −0.50) via tangible support. On the other hand, neither direct nor indirect associations of migration with four domain scores of QoL were significant among the group of urban participants.

Conclusion

Among rural adults with rare diseases, migration was found to have positive direct effect on physical and environmental QoL, positive indirect effect on physical and social QoL through increased individual income, and negative indirect effect on environmental QoL via reduced tangible support. By contrast, neither direct nor indirect associations of migration with QoL were significant among the group of urban participants.
Accelerated ageing is associated with increased COVID-19 severity and differences across ethnic groups may exist
Authors: Reeves Joshua , Kooner Jaspal S. , Zhang Weihua
Published: December 2022

Background

While increased age is an established risk factor for COVID-19, there is great heterogeneity in outcomes within age groups. This is because chronological age does not reflect health, unlike biological age. We intend to investigate the association between accelerated ageing and COVID-19 outcomes through the lens of three measures, namely phenotypic age acceleration (PhenoAgeAccel), telomere length (Adjusted T/S Ratio) and facial ageing, and to examine whether there are differences across ethnic groups.

Methods

Taking participants from the UK Biobank, we associated accelerated ageing with severe COVID-19 outcomes, defined as COVID-related hospitalisation or death. Separate logistic regressions models were created for age and the three accelerated ageing-related variables, adjusting for a variety of covariates in each model. Multivariable logistic regression models were also created within White, Black, Asian and Other ethnic groups to assess for potential differing associations. Forward likelihood ratio logistic regression models were created to evaluate importance of the variables and to assess for patterns of association across the total population and ethnic groups.

Results

After adjusting for all covariates, the odds ratio (OR) and 95% confidence interval (95% CI) of COVID-19 severe outcomes for age was 1.080 (1.074–1.086). After further adjusting age for the accelerated ageing variables, the ORs were 1.029 (1.020–1.039) for PhenoAgeAccel and 0.847 (0.772–0.929) for Facial Ageing's “Younger Than You Are” while Adjusted T/S ratio and “Older Than You Are” were statistically insignificant. The OR for age remained similar across ethnic groups. Both PhenoAgeAccel and younger facial ages in the White population and PhenoAgeAccel in the Black population had ORs of 1.031 (1.021–1.042), 0.853 (0.774–0.939), and 1.049 (1.001–1.100), respectively. Both Adjusted T/S Ratio and older facial ages showed statistical insignificance in all ethnicities. In forward logistic regression, age and PhenoAgeAccel were the age-related variables selected most frequently in all models.

Interpretation

Accelerated ageing is associated with increased COVID-19 severity. The mechanisms at work here are likely immunosenescence and inflamaging. This association indicates that anti-ageing treatment may improve COVID-19 outcome. The results within ethnic groups and that of telomere length were inconclusive, but point to a need for future, more focused research on the topic.
The impact of Muslim and Christian religious leaders responding to COVID-19 in Israel
Authors: Essa-Hadad Jumanah , Abed Elhadi Shahbari Nour , Roth Daniel , Gesser-Edelsburg Anat
Published: December 2022

Background

The COVID-19 pandemic is one of the most significant public health emergencies in decades and has affected all countries worldwide. Religious leaders have been recognized as playing a pivotal role in health promotion during times of crisis. This study explored the role that Muslim and Christian religious leaders played in Israel during the pandemic, and the impact that their activities had on the community.

Methods

A qualitative study involving semi-structured interviews was conducted with Muslim and Christian religious leaders and health policy makers from the Arab community. Intensive purposeful sampling was used to locate the two target audiences. Interview protocols were developed and included questions about the role they played during the pandemic, challenges they faced, and dialogue and partnerships they had. Interviews were audio-recorded, transcribed, and analyzed using thematic content analysis.

Results

Ten Muslim Sheikhs, three Christian clergy, and four health policy makers were interviewed. Religious leaders played a predominant role in promoting health during the COVID-19 crisis. Both religious leaders and health policy makers reported similar challenges including dealing with fake news and the conspiracy theory, social events and gatherings, frustrations about gaps in policy toward religious institutions, and lack of trust toward State. Health policy makers recognized the key role religious leaders played and emphasized the importance of engaging religious leaders.

Conclusion

The COVID-19 pandemic has been a catalyst for partnership between health policy makers and religious leaders. Religious leaders should play an integral and integrated role in promoting health during future health crises, not only in implementation of guidelines but also in development of policy so that the guidelines are tailored and sensitive to specific communities to avoid conflicts. As trusted authorities, religious leaders serve as a bridge between health authorities and communities and can be mediators who reconcile science, policy and religious perspectives. The routine cooperation between decision makers, opinion leaders, and religious leaders as social gatekeepers can increase the public's level of trust in the system.
Nonlinear Tunability of Elastic Waves in One-Dimensional Mass-Spring Lattices Attached with Local Resonators
Authors: Shen Nansun , Jiang Jinhui , Zhang Fang , Ding Ming
Published: December 2022

Vibration propagates in the form of elastic waves. The tuning of elastic waves is of great significance for vibration and noise reduction. The elastic metamaterials (EMs), which can effectively prohibit elastic wave propagation in the band gap frequency range, have been widely studied. However, once the structures of the EMs are determined, the band gap is also determined. In this paper, a discrete nonlinear elastic metamaterial is proposed. The harmonic balance method is used to derive the nonlinear dispersion relation combined with Bloch’s theorem. The low frequency band gap near the linear natural frequency of local resonators is obtained. The theoretical results show that the nonlinearity will change the starting and ending frequencies of the band gap. In addition, amplitude can also influence the band gap. This means that the amplitude can be changed to achieve the tunability of elastic waves in nonlinear elastic metamaterials. Finally, the theoretical results are verified by numerical simulation, and the results are in good agreement with each other.
Correlation between Perturbation of Redox Homeostasis and Antibiofilm Capacity of Phytochemicals at Non-Lethal Concentrations
Authors: Christodoulou Michael S. , Villa Federica , Pinto Andrea , Cappitelli Francesca
Published: December 2022

Biofilms are the multicellular lifestyle of microorganisms and are present on potentially every type of biotic or abiotic surface. Detrimental biofilms are generally targeted with antimicrobial compounds. Phytochemicals at sub-lethal concentrations seem to be an exciting alternative strategy to control biofilms, as they are less likely to impose selective pressure leading to resistance. This overview gathers the literature on individual phytocompounds rather than on extracts of which the use is difficult to reproduce. To the best of our knowledge, this is the first review to target only individual phytochemicals below inhibitory concentrations against biofilm formation. We explored whether there is an overall mechanism that can explain the effects of individual phytochemicals at sub-lethal concentrations. Interestingly, in all experiments reported here in which oxidative stress was investigated, a modest increase in intracellular reactive oxygen species was reported in treated cells compared to untreated specimens. At sub-lethal concentrations, polyphenolic substances likely act as pro-oxidants by disturbing the healthy redox cycle and causing an accumulation of reactive oxygen species.
The “Geometry” of Matyushin’s Color Triads: Mapping Color Combinations from the Reference Book of Color in CIELAB
Authors: Griber Yulia A.
Published: December 2022

This study analyzes the color combinations composed by the Russian avant-garde artist Mikhail Matyushin and his disciples for the Reference Book of Color (1932), summarizing their experimental research on the psychophysiology of color perception. Having extracted 90 colors from the 34 hand-painted charts of the book’s first edition, we mapped these colors into CIELAB and CIELCh color space to identify their chromatic characteristics (hue, lightness, and chroma) and their combination criteria. We demonstrate graphically that each of Matyushin’s color triads has a similar “geometry” in CIELAB color space and on the color circle, with the “intermediary” color much closer to the environment background color than to the main color. We conclude that the revealed patterns of these relationships are identical in all four sections of the Reference Book and reflect underlying principles of Mathyshin’s theory of color as well as fundamental aspects of human perception. The analysis presented in this paper will facilitate opportunities for artists, architects, designers, and other color professionals to use Matyushin’s original color charts and incorporate Matyushin’s style in creating their own triads.
Latent Multi-View Semi-Nonnegative Matrix Factorization with Block Diagonal Constraint
Authors: Yuan Lin , Yang Xiaofei , Xing Zhiwei , Ma Yingcang
Published: December 2022

Multi-view clustering algorithms based on matrix factorization have gained enormous development in recent years. Although these algorithms have gained impressive results, they typically neglect the spatial structures that the latent data representation should have, for example, the ideal data representation owns a block structure just like the indicator matrix has. To address this issue, a new algorithm named latent multi-view semi-nonnegative matrix factorization with block diagonal constraint (LMSNB) is proposed. First, latent representation learning and Semi-NMF are combined to get a lower-dimensional representation with consistent information from different views. Second, the block diagonal constraint is able to capture the global structure of original data. In addition, the graph regularization is considered in our model to preserve the local structure. LMSNB can deal with negative data matrix and be applied to more fields. Although the low dimensional representation from semi-nonnegative matrix factorization loses some valuable information, it still has same structure as original data with the help of block diagonal constraint and graph regularization. Finally, an iterative optimization algorithm is proposed for our objective problem. Experiments on several multi-view benchmark datasets demonstrate the effectiveness of our approach against other state-of-the-art methods.
Dynamical Behaviour of a Modified Tuberculosis Model with Impact of Public Health Education and Hospital Treatment
Authors: Sulayman Fatima , Abdullah Farah Aini
Published: December 2022

Tuberculosis (TB), caused by Mycobacterium tuberculosis is one of the treacherous infectious diseases of global concern. In this paper, we consider a deterministic model of TB infection with the public health education and hospital treatment impact. The effective reproductive number, Rph, that measures the potential spread of TB is presented by employing the next generation matrix approach. We investigate local and global stability of the TB-free equilibrium point, endemic equilibrium point, and sensitivity analysis. The analyses of the proposed model show that the model undergoes the phenomenon of backward bifurcation when the effective reproduction number (Rph) is less than one, where two stable equilibria, namely, the DFE and an EEP coexist. Further, we compute the sensitivity of the impact of each parameter on the effective reproductive number of the model by employing a normalized sensitivity index formula. Numerical simulation of the proposed model was conducted using Maple 2016 and MatLab R2020b software and compared with the theoretical results for illustration purposes. The investigation results can be useful in providing information to policy makers and public health authorities in mitigating the spread of TB infection by public health education and hospital treatment.
Mitochondrial Non-Coding RNAs Are Potential Mediators of Mitochondrial Homeostasis
Authors: Sun Weihan , Lu Yijian , Zhang Heng , Zhang Jun , Fang Xinyu , Wang Jianxun , Li Mengyang
Published: December 2022

Mitochondria are the energy production center in cells, which regulate aerobic metabolism, calcium balance, gene expression and cell death. Their homeostasis is crucial for cell viability. Although mitochondria own a nucleus-independent and self-replicating genome, most of the proteins, which fulfill mitochondrial functions and mitochondrial quality control, are encoded by the nuclear genome and are imported into mitochondria. Hence, the regulation of mitochondrial protein expression and translocation is considered essential for mitochondrial homeostasis. By means of high-throughput RNA sequencing and bioinformatic analysis, non-coding RNAs localized in mitochondria have been generally identified. They are either generated from the mitochondrial genome or the nuclear genome. The mitochondrial non-coding RNAs can directly interact with mitochondrial DNAs or transcripts to affect gene expression. They can also bind nuclear genome-encoded mitochondrial proteins to regulate their mitochondrial import, protein level and combination. Generally, mitochondrial non-coding RNAs act as regulators for mitochondrial processes including oxidative phosphorylation and metabolism. In this review, we would like to introduce the latest research progressions regarding mitochondrial non-coding RNAs and summarize their identification, biogenesis, translocation, molecular mechanism and function.
Eosinophils Infiltration in Esophageal Muscularis Propria Induces Achalasia-like Esophageal Motility Disorder in Mice
Authors: Zhao Wei , Wang Bin , Zhang Lili , Jin Hong
Published: December 2022

Eosinophil infiltration in esophageal muscularis propria is common in achalasia (AC). This study aims to evaluate the effect of eosinophil infiltration in muscularis propria of the esophagus on esophageal motility in mice. A mouse model with eosinophil infiltration in the esophageal muscle layer was established by long term Ovalbumin (OVA) exposure. The histopathology features of esophageal muscularis propria as well as parameters of esophageal motility, such as lower esophageal sphincter pressure (LESP) and esophageal emptying, were compared between model and control group. In addition, the histopathology and motility of esophagus at each time point in the model group were compared. The esophageal motor function severely deteriorated in the model group, mimicking the abnormal esophageal motility of AC, with more eosinophils and fewer SOX-10-IR cells in esophageal muscularis propria in the model group, compared with control. With the prolongation of OVA treatment, esophageal motility disorder was aggravated, accompanied by increased eosinophils in the the muscle layer of esophagus and decreased SOX-10-IR cells in the model group. In addition, the eosinophil count was negatively correlated with SOX-10-IR cells. Long-term exposure to OVA assisted by alum may induce eosinophil infiltration in esophageal muscularis propria, reduced SOX-10-IR cells and abnormal esophageal motility, which simulates the functional and histopathological features of some AC patients. This suggests that eosinophil infiltration in esophageal muscularis propria may play a role in the pathogenesis of a subgroup of AC.
Three-Dimensional Digital Light-Processing Bioprinting Using Silk Fibroin-Based Bio-Ink: Recent Advancements in Biomedical Applications
Authors: Sultan Md. Tipu , Lee Ok Joo , Lee Joong Seob , Park Chan Hum
Published: December 2022

Three-dimensional (3D) bioprinting has been developed as a viable method for fabricating functional tissues and organs by precisely spatially arranging biomaterials, cells, and biochemical components in a layer-by-layer fashion. Among the various bioprinting strategies, digital light-processing (DLP) printing has gained enormous attention due to its applications in tissue engineering and biomedical fields. It allows for high spatial resolution and the rapid printing of complex structures. Although bio-ink is a critical aspect of 3D bioprinting, only a few bio-inks have been used for DLP bioprinting in contrast to the number of bio-inks employed for other bioprinters. Recently, silk fibroin (SF), as a natural bio-ink material used for DLP 3D bioprinting, has gained extensive attention with respect to biomedical applications due to its biocompatibility and mechanical properties. This review introduces DLP-based 3D bioprinting, its related technology, and the fabrication process of silk fibroin-based bio-ink. Then, we summarize the applications of DLP 3D bioprinting based on SF-based bio-ink in the tissue engineering and biomedical fields. We also discuss the current limitations and future perspectives of DLP 3D bioprinting using SF-based bio-ink.
Exercise-Boosted Mitochondrial Remodeling in Parkinson’s Disease
Authors: Magaña Juan Carlos , Deus Cláudia M. , Giné-Garriga Maria , Montané Joel , Pereira Susana P.
Published: December 2022

Parkinson’s disease (PD) is a movement disorder characterized by the progressive degeneration of dopaminergic neurons resulting in dopamine deficiency in the striatum. Given the estimated escalation in the number of people with PD in the coming decades, interventions aimed at minimizing morbidity and improving quality of life are crucial. Mitochondrial dysfunction and oxidative stress are intrinsic factors related to PD pathogenesis. Accumulating evidence suggests that patients with PD might benefit from various forms of exercise in diverse ways, from general health improvements to disease-specific effects and, potentially, disease-modifying effects. However, the signaling and mechanism connecting skeletal muscle-increased activity and brain remodeling are poorly elucidated. In this review, we describe skeletal muscle–brain crosstalk in PD, with a special focus on mitochondrial effects, proposing mitochondrial dysfunction as a linker in the muscle–brain axis in this neurodegenerative disease and as a promising therapeutic target. Moreover, we outline how exercise secretome can improve mitochondrial health and impact the nervous system to slow down PD progression. Understanding the regulation of the mitochondrial function by exercise in PD may be beneficial in defining interventions to delay the onset of this neurodegenerative disease.
Sustainable Synthesis of Highly Biocompatible 2D Boron Nitride Nanosheets
Authors: Llenas Marina , Cuenca Lorenzo , Santos Carla , Bdikin Igor , Gonçalves Gil , Tobías-Rossell Gerard
Published: December 2022

2D ultrafine nanomaterials today represent an emerging class of materials with very promising properties for a wide variety of applications. Biomedical fields have experienced important new achievements with technological breakthroughs obtained from 2D materials with singular properties. Boron nitride nanosheets are a novel 2D layered material comprised of a hexagonal boron nitride network (BN) with interesting intrinsic properties, including resistance to oxidation, extreme mechanical hardness, good thermal conductivity, photoluminescence, and chemical inertness. Here, we investigated different methodologies for the exfoliation of BN nanosheets (BNNs), using ball milling and ultrasound processing, the latter using both an ultrasound bath and tip sonication. The best results are obtained using tip sonication, which leads to the formation of few-layered nanosheets with a narrow size distribution. Importantly, it was observed that with the addition of pluronic acid F127 to the medium, there was a significant improvement in the BN nanosheets (BNNs) production yield. Moreover, the resultant BNNs present improved stability in an aqueous solution. Cytotoxicity studies performed with HeLa cells showed the importance of taking into account the possible interferences of the nanomaterial with the selected assay. The prepared BNNs coated with pluronic presented improved cytotoxicity at concentrations up to 200 μg mL−1 with more than 90% viability after 24 h of incubation. Confocal microscopy also showed high cell internalization of the nanomaterials and their preferential biodistribution in the cell cytoplasm.
Bio-Mechanical Model of Osteosarcoma Tumor Microenvironment: A Porous Media Approach
Authors: Hu Yu , Mohammad Mirzaei Navid , Shahriyari Leili
Published: December 2022

Osteosarcoma is the most common malignant bone tumor in children and adolescents with a poor prognosis. To describe the progression of osteosarcoma, we expanded a system of data-driven ODE from a previous study into a system of Reaction-Diffusion-Advection (RDA) equations and coupled it with Biot equations of poroelasticity to form a bio-mechanical model. The RDA system includes the spatio-temporal information of the key components of the tumor microenvironment. The Biot equations are comprised of an equation for the solid phase, which governs the movement of the solid tumor, and an equation for the fluid phase, which relates to the motion of cells. The model predicts the total number of cells and cytokines of the tumor microenvironment and simulates the tumor’s size growth. We simulated different scenarios using this model to investigate the impact of several biomedical settings on tumors’ growth. The results indicate the importance of macrophages in tumors’ growth. Particularly, we have observed a high co-localization of macrophages and cancer cells, and the concentration of tumor cells increases as the number of macrophages increases.
Preservice Teacher Perceptions of the Online Teaching and Learning Environment during COVID-19 Lockdown in the UAE
Authors: Anderson Philip John , England Dawn Elizabeth , Barber Laura Dee
Published: December 2022

(1) Background: In March 2020, the United Arab Emirates Ministry of Education (MoE) closed all schools and universities in response to the global COVID-19 pandemic. All lessons had to be delivered online. This mixed methods case study explores responses to this change in learning environment from 35 BA Education and Early Childhood Studies preservice teachers at a British university in Dubai. The research sought to understand the impact of the sudden move to home learning and the ways in which it affected student communities alongside student perceptions of the online learning environment. (2) Methods: Quantitative data was collected via questionnaires allowing students to consider past experiences while reflecting on their approaches to the online environment. Weekly focus groups were held online to track the student experience and understand the influence of different pedagogical approaches. (3) Results: The research found most students maintained a ‘deep’ or ‘strategic’ approach to learning. (4) Conclusions: Despite students declaring the period of emergency online learning as successful, there was a strong preference for the traditional lecture format over alternative approaches, stating subjective feelings of belongingness and connectedness to the physical campus.
Not in the Greater Good: Academic Capitalism and Faculty Labor in Higher Education
Authors: Spinrad Mark L. , Relles Stefani R. , Watson Doris L.
Published: December 2022

American public universities have assumed business-minded practices and norms that more closely align with the goals and values of corporations than social institutions charged with creating and disseminating knowledge. One consistent strategy to lower costs involves faculty labor. Institutions have outsourced educational missions to a largely contingent workforce to decrease instructional costs; over the last two decades, the number of adjunct or part-time faculty now comprises 70% of all faculty. As a result, policies have decreased instructional costs and provided administrators with increased flexibility to respond to student demands. However, research indicates compromised student outcomes, less shared governance, and faculty work–life pressures that can undermine commitment, motivation, and professional identity. The following literature review examines the locus of academic capitalism and faculty labor, theorizing how faculty labor policies infer consequences for equity, inclusion, and social justice in higher education.
Physical Unclonable Function and Machine Learning Based Group Authentication and Data Masking for In-Hospital Segments
Authors: Sadhu Pintu Kumar , Yanambaka Venkata P. , Abdelgawad Ahmed
Published: December 2022

The involvement of the Internet of things (IoT) in the development of technology makes systems automated and peoples’ lives easier. The IoT is taking part in many applications, from smart homes to smart industries, in order to make a city smart. One of the major applications of the IoT is the Internet of medical things (IoMT) which deals with patients’ sensitive information. This confidential information needs to be properly transferred and securely authenticated. For successful data protection and preserving privacy, this paper proposes multidevice authentication for the in-hospital segment using a physical unclonable function (PUF) and machine learning (ML). The proposed method authenticates multiple devices using a single message. Most of the protocols require PUF keys to be stored at the server, which is not required in the proposed framework. Moreover, authentication, as well as data, is sent to the server in the same message, which results in faster processing. Furthermore, a single ML model authenticates a group of devices at the same time. The proposed method shows 99.54% accuracy in identifying the group of devices. Moreover, the proposed method takes 2.6 ms and 104 bytes to complete the authentication of a device and takes less time with the increment of devices in the group. The proposed algorithm is analyzed using a formal analysis to show its resistance against various vulnerabilities.
Spike-Event X-ray Image Classification for 3D-NoC-Based Neuromorphic Pneumonia Detection
Authors: Wang Jiangkun , Ikechukwu Ogbodo Mark , Dang Khanh N. , Abdallah Abderazek Ben
Published: December 2022

The success of deep learning in extending the frontiers of artificial intelligence has accelerated the application of AI-enabled systems in addressing various challenges in different fields. In healthcare, deep learning is deployed on edge computing platforms to address security and latency challenges, even though these platforms are often resource-constrained. Deep learning systems are based on conventional artificial neural networks, which are computationally complex, require high power, and have low energy efficiency, making them unsuitable for edge computing platforms. Since these systems are also used in critical applications such as bio-medicine, it is expedient that their reliability is considered when designing them. For biomedical applications, the spatio-temporal nature of information processing of spiking neural networks could be merged with a fault-tolerant 3-dimensional network on chip (3D-NoC) hardware to obtain an excellent multi-objective performance accuracy while maintaining low latency and low power consumption. In this work, we propose a reconfigurable 3D-NoC-based neuromorphic system for biomedical applications based on a fault-tolerant spike routing scheme. The performance evaluation results over X-ray images for pneumonia (i.e., COVID-19) detection show that the proposed system achieves 88.43% detection accuracy over the collected test data and could be accelerated to achieve 4.6% better inference latency than the ANN-based system while consuming 32% less power. Furthermore, the proposed system maintains high accuracy for up to 30% inter-neuron communication faults with increased latency.