bluuebunny/crossref_metadata_2025 huggingface dataset:
Living Place Matters: The Duplicity of Shared Housing in the Young Adults of South Korea
Authors: Byun Nahyang , Shon Donghwa
Published: February 2022

This study focus on the phenomenon of the preference for co-living among young adults that has manifested in South Korea. The study examines life in a shared house as a living place, which is the representative form of co-living that the younger adults in South Korea have been choosing. The objective of the study is to examine shared housing as living place matters and their possibility of being a home and house for the young generation. The study procedures included reviewing place attachment theory, analyzing the operational structure of shared houses, and interviewing residents to discuss the place attachment of the residential environment in shared houses. The young adult generation who chose to share a house display indecision on the issue of residential choices and behavior in terms of spatial possession. The results are as follows. Although co-living is a realistic residential choice for the reduction of residential costs, the majority of young adults experientially highlight the values of co-living rather than acknowledge the real reasons behind their choices. Such results signify that they recognize such limited residential choices as a means of temporary residence, not rooted to a living place, rather than an ordinal difference between the best and the second best, and ultimately the need to further consider the issues of continuous life and lifestyle on the foundation of the perspective of the universal life cycle of the young adult generation.
The Impact of Entrepreneurship Competitions on Entrepreneurial Competence of Chinese College Students
Authors: Wang Jing , Guo Yang , Zhang Mengting , Li Ningning , Li Kexin , Li Ping , Huang Leilei , Huang Yangjie
Published: February 2022

Entrepreneurship competitions are an important way to implement entrepreneurship education in universities and the main way for many students improve their entrepreneurial competence. To clarify the mechanism of the role of entrepreneurship competition on the entrepreneurial competence of university students, based on data from a sample of 170,764 university students from 31 provinces in China, this study constructs a moderated mediation model that focuses on the mediating role of entrepreneurial spirit (ES) in entrepreneurial competition (ECompetition) and entrepreneurial competence (ECompetence) and the moderating role of entrepreneurial practice (EP). The results showed that ECompetition found to have a significant positive predictive effect on ECompetence. ES plays a mediating role in the relationship between ECompetition and competence. The direct predictive effect of ECompetition on ECompetence and the mediating effect of ES on their relationship is moderated by EP. The results provide a new perspective on the impact of entrepreneurship competition on college students’ entrepreneurial competence and expands the experiential learning theory in entrepreneurship education.
Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic Variables
Authors: Martínez-Ramón Juan Pedro , Morales-Rodríguez Francisco Manuel , Ruiz-Esteban Cecilia , Méndez Inmaculada
Published: February 2022

Artificial intelligence (AI) is a useful predictive tool for a wide variety of fields of knowledge. Despite this, the educational field is still an environment that lacks a variety of studies that use this type of predictive tools. In parallel, it is postulated that the levels of self-esteem in the university environment may be related to the strategies implemented to solve problems. For these reasons, the aim of this study was to analyze the levels of self-esteem presented by teaching staff and students at university (N = 290, 73.1% female) and to design an algorithm capable of predicting these levels on the basis of their coping strategies, resilience, and sociodemographic variables. For this purpose, the Rosenberg Self-Esteem Scale (RSES), the Perceived Stress Scale (PSS), and the Brief Resilience Scale were administered. The results showed a relevant role of resilience and stress perceived in predicting participants’ self-esteem levels. The findings highlight the usefulness of artificial neural networks for predicting psychological variables in education.
Autonomic Nervous System Response Patterns of Test-Anxious Individuals to Evaluative Stress
Authors: Bian Wenjun , Zhang Xiaocong , Dong Yunying
Published: February 2022

Test anxiety is a widespread and primarily detrimental emotion in learning and achievement settings. This research aimed to explore the autonomic nervous system (ANS) response patterns of test-anxious individuals in response to evaluative stress. By presenting a standard interview task, an evaluative scenario was effectively induced. Heart rate variability (HRV), a biomarker that can accurately reflect the ANS activity, was used to reflect the physiological responses of 48 high test-anxious subjects and 49 low test-anxious subjects. Results indicate that: (1) both groups show a significantly increased emotional arousal in the evaluative scenario; (2) high test-anxious individuals show a significantly decreased emotional pleasantness in the evaluative scenario, whereas low test-anxious individuals show no significant changes; (3) both groups show a significantly increased low-frequency HRV; (4) high test-anxious individuals show a significantly decreased high-frequency HRV and root mean square of successive heartbeat interval differences (RMSSD), whereas low test-anxious individuals remain stable. These findings suggest that high test-anxious individuals display an increased sympathetic nervous system (SNS) activity and a decreased parasympathetic nervous system (PNS) activity in response to evaluative stress, while low-anxious individuals display an increased SNS activity and a stable PNS activity in response to evaluative stress.
Effects of Knowledge Hiding in Dual Teaching Methods on Students’ Performance—Evidence From Physical Education Department Students
Authors: Xu Qingxiang , Jiesen Yin
Published: February 2022

With the post-pandemic situation, digitalization has revolutionized physical teaching into online teaching and has become a common practice. The engagement of students has been essential for their good academic performance which can be ensured by the active participation of the students and this is a real challenge for the teachers. However, sometimes in online and physical teaching, teachers are also involved in rationalized knowledge hiding, which leads to the disengagement of the students, and this ultimately affects their academic performance. Therefore, the present study aims at measuring the students’ disengagement in the teaching classes, both physical and online. The population of the present study is the students from the universities of China belonging to different fields of study. The sample size for this study is 246. The data are obtained through the Questionnaire surveys. The existing study has assessed the role of teachers’ rationalized knowledge hiding behaviors in the disengagement of students and their lesser grades. It has been found that rationalized knowledge hiding in online teaching does not affect students’ performance; however, it makes students disengage from their studies in physical classes. Interestingly, the rationalized knowledge hiding in physical teaching has negatively affected the performance of the students. Furthermore, the mediating role of the students’ disengagement has been found significant in this study. Organizations, especially universities, can ensure maximum knowledge sharing by motivating the instructors through positive reinforcements. This study will be useful for the curriculum coordinators of different departments in ensuring the maximum outcome of the teaching classes, workshops, and seminars conducted either physically or online to avoid the rationalized knowledge hiding of the teachers.
Bereaved Families: A Qualitative Study of Therapeutic Intervention
Authors: Moriconi Valeria , Cantero-García María
Published: February 2022

Background

A child’s death is the most stressful event and the most complex grief that families face. The process of psychological adaptation to the illness and death of a child is difficult due to a variety of emotional reactions. Parental grief had received the attention of researchers only in recent years when it became clear that this reality differs substantially from the general grief process.

Objective

This work aims to highlight the needs of bereaved parents; increase the specificity and effectiveness of the therapeutic approach to prevent complications in the process of loss-making; and find the recurrent thematic nuclei in the development of bereavement present in a therapeutic group of parents who have lost their child to an onco-hematological disease.

Method

Between 2011 and 2016, five therapeutic groups for the grief elaboration were made. The sample included a total of 50 parents of children who died from cancer between the ages of 0 and 21 years.

Content analysis was carried out as a qualitative analysis method. The SAS® Text Miner software (SAS Institute Inc, 2004) was used to read, interpret, classify and integrate the data from numerous sources.

Results

The development and consecutive interpretation of the 5 clusters have been carried out to analyze the related topics using the node “Topic Analysis” and requesting the subdivision into five topics. Four topics have been well defined. Clear topics are reducible to categories of emotional relief, tools, legacy, and unfinished business. The topic analysis provides interesting indications about the different interpretive journeys of the bereavement situation and offers ideas regarding the different types of social responses.

Conclusions

After reviewing the existing bibliography, we have confirmed the lack of specific literature on the problem of grief in parents whose children have died from cancer. Much research has shown that parents who lose a child to cancer want support, and there are still few studies on the most effective interventions for this group.
Big Data Recommendation Research Based on Travel Consumer Sentiment Analysis
Authors: Yuan Zhu
Published: February 2022

More and more tourists are sharing their travel feelings and posting their real experiences on the Internet, generating tourism big data. Online travel reviews can fully reflect tourists’ emotions, and mining and analyzing them can provide insight into the value of them. In order to analyze the potential value of online travel reviews by using big data technology and machine learning technology, this paper proposes an improved support vector machine (SVM) algorithm based on travel consumer sentiment analysis and builds an Hadoop Distributed File System (HDFS) system based on Map-Reduce model. Firstly, Internet travel reviews are pre-processed for sentiment analysis of the review text. Secondly, an improved SVM algorithm is proposed based on the main features of linear classification and kernel functions, so as to improve the accuracy of sentiment word classification. Then, HDFS data nodes are deployed on the basis of Hadoop platform with the actual tourism application context. And based on the Map-Reduce programming model, the map function and reduce function are designed and implemented, which greatly improves the possibility of parallel processing and reduces the time consumption at the same time. Finally, an improved SVM algorithm is implemented under the built Hadoop platform. The test results show that online travel reviews can be an important data source for travel big data recommendation, and the proposed method can quickly and accurately achieve travel sentiment classification.
Structural Features Related to Affective Instability Correctly Classify Patients With Borderline Personality Disorder. A Supervised Machine Learning Approach
Authors: Grecucci Alessandro , Lapomarda Gaia , Messina Irene , Monachesi Bianca , Sorella Sara , Siugzdaite Roma
Published: February 2022

Previous morphometric studies of Borderline Personality Disorder (BPD) reported inconsistent alterations in cortical and subcortical areas. However, these studies have investigated the brain at the voxel level using mass univariate methods or region of interest approaches, which are subject to several artifacts and do not enable detection of more complex patterns of structural alterations that may separate BPD from other clinical populations and healthy controls (HC). Multiple Kernel Learning (MKL) is a whole-brain multivariate supervised machine learning method able to classify individuals and predict an objective diagnosis based on structural features. As such, this method can help identifying objective biomarkers related to BPD pathophysiology and predict new cases. To this aim, we applied MKL to structural images of patients with BPD and matched HCs. Moreover, to ensure that results are specific for BPD and not for general psychological disorders, we also applied MKL to BPD against a group of patients with bipolar disorder, for their similarities in affective instability. Results showed that a circuit, including basal ganglia, amygdala, and portions of the temporal lobes and of the orbitofrontal cortex, correctly classified BPD against HC (80%). Notably, this circuit positively correlates with the affective sector of the Zanarini questionnaire, thus indicating an involvement of this circuit with affective disturbances. Moreover, by contrasting BPD with BD, the spurious regions were excluded, and a specific circuit for BPD was outlined. These results support that BPD is characterized by anomalies in a cortico-subcortical circuit related to affective instability and that this circuit discriminates BPD from controls and from other clinical populations.
Serum NLRP3 Inflammasome and BDNF: Potential Biomarkers Differentiating Reactive and Endogenous Depression
Authors: Yang Xin-Jing , Zhao Bing-Cong , Li Jing , Shi Chuan , Song Yu-Qing , Gao Xing-Zhou , Jiang Hui-Li , Yu Qiu-Yun , Liang Xing-Chen , Feng Shi-Xing , Li Xiang , Sun Yang , Li Ya-Huan , Wang Yang-Peng , Bao Tuya , Zhang Zhang-Jin
Published: February 2022

Background

The highly heterogeneous pathogenesis of depression and limited response to current antidepressants call for more objective evidence for depression subtypes. Reactive and endogenous depression are two etiologically distinct subtypes associated with different treatment responses. This study aims to explore the potential biomarkers that differentiate reactive and endogenous depressions.

Methods

The clinical manifestations and biological indicators of 64 unmedicated mild-to-moderate depression patients (32 reactive depression patients and 32 endogenous depression patients) and 21 healthy subjects were observed. The 24-item Hamilton rating scale for depression (HAMD-24) was used to evaluate the severity of depression. Serum levels of depression-related biological indicators were measured by using the enzyme-linked immunosorbent assay.

Results

The NLRP3 level of reactive depression was significantly lower than those of endogenous depression and healthy controls. There was a significant negative correlation between the BDNF level and the HAMD-24 total scores for patients with reactive depression.

Conclusion

Our findings suggested the serum NLRP3 and BDNF levels could be potential biomarkers for detecting and evaluating the severity of reactive depression.
ASD and ADHD Comorbidity: What Are We Talking About?
Authors: Hours Camille , Recasens Christophe , Baleyte Jean-Marc
Published: February 2022

According to the scientific literature, 50 to 70% of individuals with autism spectrum disorder (ASD) also present with comorbid attention deficit hyperactivity disorder (ADHD). From a clinical perspective, this high rate of comorbidity is intriguing. What is the real significance of this dual diagnosis? Is ADHD in fact always present in such cases? Might the attentional impairment reported among our ASD patients actually be a distinct trait of their ASD—namely, impaired joint attention—rather than an ADHD attention deficit? Could their agitation be the consequence of this joint attention impairment or related to a physical restlessness etiologically very different from the agitation typical of ADHD? The neurobiological reality of ASD-ADHD comorbidity is a subject of debate, and amphetamine-based treatment can have paradoxical or undesirable effects in the ASD population. Consequently, does a dual diagnosis, notwithstanding its currency in the literature, prevent us from shedding sufficient light on major physiopathologic questions raised by the clinical picture of ASD?
isiXhosa Translation of the Patient Health Questionnaire (PHQ-9): A Pilot Study of Psychometric Properties [Stage 1]
Authors: Mudra Rakshasa-Loots Arish , Laughton Barbara
Published: February 2022

Depression is a debilitating illness, and stigma associated with it often prevents people from seeking support. Easy-to-administer and culturally-specific diagnostic tools can allow for early screening for depression in primary care clinics, especially in resource-limited settings. In this pilot study, we will produce the first open-access isiXhosa-language version of the nine-item Patient Health Questionnaire (PHQ-9), a well-validated measure of depression incidence and severity, using a transcultural translation framework. We will validate this isiXhosa PHQ-9 in a small sample of adolescents living with HIV in Cape Town, South Africa who speak isiXhosa at home. Participants have previously completed the ASEBA Youth Self Report (YSR) form, and responses from the YSR will be used as a gold standard to validate the isiXhosa PHQ-9. If validated through this Registered Report, this isiXhosa PHQ-9 may be an invaluable culturally-specific tool for clinicians serving Xhosa people in identifying clinical or sub-clinical depression.
Relationship Between Dry Eye Disease and Emotional Disorder: The Mediating Effect of Health Anxiety
Authors: He Qing , Chen Zhuo , Xie Caiyuan , Liu Lin , Yang Haibo , Wei Ruihua
Published: February 2022

Objective

This study aims to investigate the relationship between dry eye disease (DED) and anxiety, as well as DED and depression. Additionally, the influence of health anxiety (HA) on this relationship was determined.

Methods

A total of 206 patients with DED were recruited from Tianjin Medical University Eye Hospital clinic and surveyed using demographic questionnaires, the Ocular Surface Disease Index (OSDI), Hospital Anxiety and Depression Scale (HADS), and Short Health Anxiety Inventory (SHAI). Additionally, they were examined using Keratograph 5M and assessed for DED by corneal fluorescein staining. Regression analysis and the bootstrap method were used to investigate the influence of HA on the relationship between DED and emotional disorders.

Results

Among the 206 patients with DED, 52 (25.24%) and 56 (27.18%) patients showed depression and anxiety, respectively. The OSDI score and HA were positively correlated with depression and anxiety (P < 0.01). The direct effects of OSDI on depression and anxiety were significant (95% confidence interval [CI]: 0.017–0.069; 0.008–0.060). Additionally, the bootstrap test showed significant mediating effects of HA (95% CI: 0.001–0.016; 0.003–0.021). The results suggested that the severity of DED symptoms, as measured by the OSDI score, affected anxiety and depression by a direct and an indirect pathway mediated by HA.

Conclusions

We found a significant correlation between DED and anxiety and depression. Moreover, HA was a mediator of the relationship between DED symptoms and anxiety and depression.
Challenging Aspects to Precise Health Strategies in Native Hawaiian and Other Pacific Islanders Using Statins
Authors: Watanabe Ligia M. , Seale Lucia A.
Published: February 2022

Cardiometabolic disorders (CD), including cardiovascular disease (CVD), diabetes, and obesity, are the leading cause of health concern in the United States (U.S.), disproportionately affecting indigenous populations such a Native Hawaiian and Other Pacific Islanders (NHOPI). Dyslipidemia, a prevalent risk factor for the development and progression of CVD, is more prone to occur in NHOPI than other populations in the U.S. High-intensity statin therapy to reduce low-density lipoprotein cholesterol is associated with the prevention of CVD events. However, significant side-effects, such as muscle disorders, have been associated with its use. Different ethnic groups could experience variation in the prevalence of statin side effects due to sociodemographic, behavioral, and/or biological factors. Therefore, identifying the most impactful determinants that can be modified to prevent or reduce statin side effects for individuals from high-risk ethnic minority groups, such as NHOPI, can lead to more effective strategies to reduce health disparities. Thus, our Mini-Review explores the challenging aspects of public health precise strategies in NHOPI taking statins, including a culturally informed additional therapy that could positively impact the NHOPI population.
A Mixed-Method Analysis of Inequalities Associated With Adverse Sexual and Reproductive Health Outcomes and the Requisite Interventions Among Young Women in Durban Informal Settlements, South Africa
Authors: Bolarinwa Obasanjo Afolabi , Boikhutso Tlou
Published: February 2022

Background

Over the years, positive sexual and reproductive health (SRH) outcomes have been made possible by a series of policies such as the Sustainable Development Goals, targeted toward different aspects of young women's SRH needs. Nevertheless, inequalities in the levels and trends of adverse SRH outcomes still exist in sub-Saharan Africa (SSA), including South Africa. Thus, this study examines the inequalities associated with adverse SRH outcomes among young women in Durban informal settlements, South Africa, using a mixed-method analysis and suggested requisite interventions to reduce or eliminate the disparity.

Methods

A mixed-method sequential explanatory design was used to address the research question. First, a quantitative cross-sectional survey was conducted among 547 young women aged 18 to 24 years in four informal settlements in Durban, South Africa, between April and July 2021. Thereafter, twenty (20) key informant interviews were conducted among different participants but with the same study characteristics. The study's outcome variable was adverse SRH outcomes, including HIV, STIs and unintended pregnancy, while the independent variable was inequality. The quantitative analysis employed binary and multivariable analysis to determine the association between the outcome and explanatory variables, using an alpha level of p < 0.05 to determine significance, while the qualitative analysis was done thematically.

Results

At the quantitative level, the prevalence of adverse SRH outcomes among young women dwelling in Durban informal 242 settlements were 17.55%, 9.14% and 18.10% for STIs, HIV and unintended pregnancy, respectively. The adjusted odds ratio showed that young women who ever discussed sexual matters with their parents had a lower likelihood of reporting having STIs [aOR = 0.20; 95% (CI = 0.15–1.01)], HIV [aOR = 0.20; 95% (CI = 0.15–1.01)] and unintended pregnancy [aOR = 0.20; 95% (CI = 0.15–1.01)] compared to young women who never had a sexual discussion with their parents. Almost all the key informant interview participants shared the same perspective and proffered possible solutions in the qualitative results.

Conclusion

There are disparities in the factors associated with adverse SRH outcomes in Durban's informal settlements. Healthcare proximity, child support grants, cigarette smoking, alcohol consumption, polygamous family structures and gender based violence were associated with higher odds of reporting adverse SRH outcomes.
Financial Risk Management and Explainable, Trustworthy, Responsible AI
Authors: Fritz-Morgenthal Sebastian , Hein Bernhard , Papenbrock Jochen
Published: February 2022

This perspective paper is based on several sessions by the members of the Round Table AI at FIRM1, with input from a number of external and international speakers. Its particular focus lies on the management of the model risk of productive models in banks and other financial institutions. The models in view range from simple rules-based approaches to Artificial Intelligence (AI) or Machine learning (ML) models with a high level of sophistication. The typical applications of those models are related to predictions and decision making around the value chain of credit risk (including accounting side under IFRS9 or related national GAAP approaches), insurance risk or other financial risk types. We expect more models of higher complexity in the space of anti-money laundering, fraud detection and transaction monitoring as well as a rise of AI/ML models as alternatives to current methods in solving some of the more intricate stochastic differential equations needed for the pricing and/or valuation of derivatives. The same type of model is also successful in areas unrelated to risk management, such as sales optimization, customer lifetime value considerations, robo-advisory, and other fields of applications. The paper refers to recent related publications from central banks, financial supervisors and regulators as well as other relevant sources and working groups. It aims to give practical advice for establishing a risk-based governance and testing framework for the mentioned model types and discusses the use of recent technologies, approaches, and platforms to support the establishment of responsible, trustworthy, explainable, auditable, and manageable AI/ML in production. In view of the recent EU publication on AI, also referred to as the EU Artificial Intelligence Act (AIA), we also see a certain added value for this paper as an instigator of further thinking outside of the financial services sector, in particular where “High Risk” models according to the mentioned EU consultation are concerned.
Big Communications: Connect the Unconnected
Authors: Zhang Chuanting , Dang Shuping , Alouini Mohamed-Slim , Shihada Basem
Published: February 2022

In this article, we present the analysis of the digital divide to illustrate the unfair access to the benefits brought by information and communications technology (ICT) over the globe and provide our solution termed big communications (BigCom) to close the digital divide and democratize the benefits of ICT. To facilitate the implementation of BigCom, we give a complete framework of BigCom considering both technological and non-technological factors as well as a set of suggestions for content providers, mobile network operators, and governments. By implementing BigCom, we aim to connect the last 3.7 billion unconnected people living in far-flung and underdeveloped areas and achieve the goal of global and ubiquitous connectivity for everyone in the 6G era.
Eriodictyol Suppresses Porphyromonas gingivalis-Induced Reactive Oxygen Species Production by Gingival Keratinocytes and the Inflammatory Response of Macrophages
Authors: Maquera-Huacho Patricia Milagros , Spolidorio Denise Palomari , Manthey John A. , Grenier Daniel
Published: February 2022

Porphyromonas gingivalis is a key pathogen of periodontitis, an inflammatory disease that affects the tooth-supporting tissues. The aim of the present study was to investigate the effects of the flavanone eriodictyol on P. gingivalis-induced reactive oxygen species (ROS) production by gingival keratinocytes and the inflammatory response of macrophages. Porphyromonas gingivalis and H2O2 acted synergistically to induce ROS production by keratinocytes. The presence of eriodictyol significantly attenuated ROS production in a dose-dependent manner. We used a macrophage model to show that eriodictyol decreases the secretion of IL-1β, IL-6, IL-8, and TNF-α induced by P. gingivalis. Evidence has been brought that this anti-inflammatory property of eriodictyol may be related to its ability to prevent the activation of the NF-κB signaling pathway by P. gingivalis. This periodontal pathogen was also found to be a potent inducer of matrix metalloproteinase (MMP) production by macrophages, including MMP-2, MMP-8, and MMP-9. Eriodictyol dose-dependently inhibited the production of all three MMPs. Lastly, eriodictyol inhibited the catalytic activity of both MMP-9 and P. gingivalis collagenase. In conclusion, eriodictyol may be a potential therapeutic agent for preventing and/or treating periodontal disease due to its antioxidant, anti-inflammatory, and anti-proteinase properties.
Prognostic Significance of SOCS3 in Patients With Solid Tumors: A Meta-Analysis
Authors: Zheng Xia , Shao Jie , Wei Sihui , Gu Yu , Qian Jun
Published: February 2022

Background

The identification of reliable biomarkers for predicting disease recurrence and the survival of patients with cancer is of great importance. Numerous previous studies have revealed that the abnormal expression of the suppressor of cytokine signaling 3 (SOCS3) was associated with patient outcomes. However, these results were inconsistent. The aim of the present study was to assess the prognostic value of SOCS3 in patients with solid tumors.

Methods

Studies focusing on the prognostic value of SOCS3 in solid tumors were searched for in the PubMed, Embase, Web of Science, and Scopus databases. We included studies that compared disease-free survival (DFS) and overall survival based on different levels of SOCS3. Other outcomes (e.g., Edmondson grading, tumor size, tumor vascular invasion, lymph node invasion, and distant metastasis) were also considered. The hazard ratio (HR)/risk ratio (RR) and corresponding 95% CI were determined.

Results

Twelve studies with 1,551 patients were included in this meta-analysis. The pooled analysis demonstrated that the higher expression of SOCS3 was significantly associated with better disease-free survival (HR:0.36, 95% CI:0.17–0.77, P < 0.001) and overall survival (HR:0.45, 95% CI:0.32–0.62, P < 0.001) compared with low expression. Moreover, SOCS3 expression was closely correlated with the Edmondson grading [odds ratio (OR):0.77, 95% CI:0.61–0.98, P = 0.033], vascular invasion (OR:0.63, 95% CI:0.52–0.78, P < 0.001), and distant metastasis (OR:0.73, 95% CI:0.51–1.03, P = 0.076). However, the levels of SOCS3 were not significantly associated with tumor size (OR:0.85, 95% CI:0.71–1.03, P = 0.090) and lymph node invasion (OR:0.73, 95% CI:0.51–1.03, P = 0.076).

Conclusion

Increased SOCS3 expression in tumor mass was associated with better DFS and OS, suggesting it might be a novel and reliable biomarker for predicting the risk of cancer recurrence and mortality.
Cardiac Doppler Parameters and Progress in Clinical Manifestation of Primary Lower Extremity Varicose Veins: A Prospective Study in China
Authors: Zhang Jia , Wu Zhoupeng , Feng Qingbo , Huang He , Ma Yukui
Published: February 2022

Objective

To investigate the features of cardiac Doppler parameters in patients with primary lower extremity varicose veins in China.

Materials and Methods

We performed a prospective statistical analysis of cardiac Doppler parameters between 129 Chinese patients with varicose veins and normal controls. Furthermore, we evaluated the relationship between cardiac Doppler and the progress or severity of lower extremity varicose veins.

Results

Compared with normal controls, patients with primary varicose veins had significantly lower early mitral and tricuspid diastolic inflow and annular velocities (E- and e′-waves), significantly higher late mitral and tricuspid diastolic inflow and annular velocities (A- and a′-waves), significantly higher mitral systolic annular velocities (s′-wave), and significantly lower mitral and tricuspid E/A ratio. There was no significant association between deep venous reflux (DVR) of the lower extremities and cardiac Doppler parameters. The relationship between Clinical Etiological Anatomical Pathophysiological (CEAP) clinical class and cardiac Doppler parameters showed on that: In comparison with normal control, all cardiac Doppler parameters of C2 clinical class patients were basically unchanged, but the cardiac Doppler parameters of the C3 or higher CEAP class patients changed. Hence, we found a potential CEAP grade cut-off value (C3) linked to statistical changes in cardiac Doppler parameters.

Conclusion

Cardiac Doppler parameters in patients with primary varicose veins could indeed be different from those of normal people, especially for C3 class or higher CEAP clinical class patients. Therefore, for those patients, pre-operative echocardiography can be used to evaluate cardiac hemodynamic changes, but large-scale clinical promotion requires further large sample studies.
The Corona Immunitas Digital Follow-Up eCohort to Monitor Impacts of the SARS-CoV-2 Pandemic in Switzerland: Study Protocol and First Results
Authors: Speierer Alexandre , Chocano-Bedoya Patricia O. , Anker Daniela , Schmid Alexia , Keidel Dirk , Vermes Thomas , Imboden Medea , Levati Sara , Franscella Giovanni , Corna Laurie , Amati Rebecca , Harju Erika , Luedi Chantal , Michel Gisela , Veys-Takeuchi Caroline , Zuppinger Claire , Nusslé Semira Gonseth , D’Acremont Valérie , Tall Ismaël , Salberg Éric , Baysson Hélène , Lorthe Elsa , Pennacchio Francesco , Frei Anja , Kaufmann Marco , Geigges Marco , West Erin Ashley , Schwab Nathalie , Cullati Stéphane , Chiolero Arnaud , Kahlert Christian , Stringhini Silvia , Vollrath Fabian , Probst-Hensch Nicole , Rodondi Nicolas , Puhan Milo A. , von Wyl Viktor
Published: February 2022

Objectives: To describe the rationale, organization, and procedures of the Corona Immunitas Digital Follow-Up (CI-DFU) eCohort and to characterize participants at baseline.

Methods: Participants of Corona Immunitas, a population-based nationwide SARS-CoV-2 seroprevalence study in Switzerland, were invited to join the CI-DFU eCohort in 11 study centres. Weekly online questonnaires cover health status changes, prevention measures adherence, and social impacts. Monthly questionnaires cover additional prevention adherence, contact tracing apps use, vaccination and vaccine hesitancy, and socio-economic changes.

Results: We report data from the 5 centres that enrolled in the CI-DFU between June and October 2020 (covering Basel City/Land, Fribourg, Neuchâtel, Ticino, Zurich). As of February 2021, 4636 participants were enrolled and 85,693 weekly and 27,817 monthly questionnaires were collected. Design-based oversampling led to overrepresentation of individuals aged 65+ years. People with higher education and income were more likely to enroll and be retained.

Conclusion: Broad enrolment and robust retention of participants enables scientifically sound monitoring of pandemic impacts, prevention, and vaccination progress. The CI-DFU eCohort demonstrates proof-of-principle for large-scale, federated eCohort study designs based on jointly agreed principles and transparent governance.
NTRK Fusions Detection in Paediatric Sarcomas to Expand the Morphological Spectrum and Clinical Relevance of Selected Entities
Authors: Nozzoli Filippo , Lazar Alexander J. , Castiglione Francesca , Campanacci Domenico Andrea , Beltrami Giovanni , De Logu Francesco , Caporalini Chiara , Massi Daniela , Roviello Giandomenico
Published: February 2022

Undifferentiated round cell sarcomas (URCS) of soft tissue and bone and tumours of uncertain differentiation (TUD) are commonly ascribed to a subset of neoplasms with low frequency of NTRK gene fusions. However, more recently NTRK-rearranged round and spindle cell tumours have been noted in case reports and in limited or heterogeneous cohorts. The aim of our study was to investigate the presence of NTRK gene fusions in a large retrospective cohort of paediatric URCS and TUD after a systematic review of the diagnosis, according to the recently updated WHO classification scheme. One-hundred and five patients with diagnosis of URCS or TUD, involving the bone or soft tissue, were retrospectively evaluated. After the case selection and the histopathological review of the case cohort, pan-Trk immunohistochemistry (IHC) testing was performed on formalin-fixed paraffin-embedded (FFPE) tissues. Tumour RNA was extracted from FFPE tissue and subjected to next-generation sequencing (NGS) library preparation, using a 10-gene NGS fusion panel, sequenced on an Illumina MiSeq. The NGS-positive cases were further confirmed by real-time PCR. On immunohistochemical screening, 12/105 (11.4%) cases were positive using the pan-Trk antibody, showing three different staining patterns with the cytoplasmic distribution being most common. Molecular analysis using NGS and confirmed by the real-rime PCR detected two positive cases for the ETV6-NTRK3 fusion. The histological pattern of the two positive cases, together with the demonstration of the NTRK rearrangement, leaded to re-classify these previously not otherwise specified sarcomas with uncertain differentiation into the emerging category of NTRK-rearranged neoplasms. In addition, we found the two NTRK fused neoplasms showing a clinical indolent course, in contrast with literature.
Targeted Venetoclax Therapy in t(11;14) Multiple Myeloma: Real World Data From Seven Hungarian Centers
Authors: Szita Virág Réka , Mikala Gábor , Kozma András , Fábián János , Hardi Apor , Alizadeh Hussain , Rajnics Péter , Rejtő László , Szendrei Tamás , Váróczy László , Nagy Zsolt , Illés Árpád , Vályi-Nagy István , Masszi Tamás , Varga Gergely
Published: February 2022

Despite the introduction of novel agents, multiple myeloma remains incurable for most patients, necessitating further therapeutic options. Venetoclax, a selective BCL-2 inhibitor, had shown promising results in patients with translocation t(11;14), but questions remain open about its optimal use. We have contacted all Hungarian haematology centers for their experience treating t(11;14) myeloma patients with venetoclax. 58 patients were reported. 37 received venetoclax in the relapsed/refractory setting with few or no other therapeutic options available. 21 patients started venetoclax as salvage after failing to achieve satisfactory response to first line therapy. In the relapsed/refractory setting objective response rate (ORR) was 94%, median progression-free survival (PFS) 10.0 months and median overall survival (OS) 14.6 months. In reinduction patients, ORR was 100%, median PFS and OS were not reached. Importantly, we found no adverse effect of high risk features such as deletion 17p or renal failure, in fact renal failure ameliorated in 42% of the cases, including three patients who became dialysis independent. Our study also reports the highest number of plasma cell leukemia cases successfully treated with venetoclax published in literature, with refractory plasma cell leukemia patients achieving a median PFS of 10.0 and a median OS of 12.2 months.
The Repeatability of Grazing Efficiency as a Perennial Ryegrass Variety Trait
Authors: Tubritt Tomás , Delaby Luc , O’Donovan Michael
Published: February 2022

The ‘Grazing Utilization’ sub-index within the Pasture Profit Index identifies perennial ryegrass varieties with high grazing efficiency. Grazing efficiency is assessed in plot trials conducted over a number of years. The objective of this study was to investigate the repeatability of variety grazing efficiency. Correlations were derived between variety performance in separate evaluation years and between variety performances in separate trials. Grazing efficiency was found to be moderately repeatable, with correlation values ranging from 0.47 to 0.86 between years and ranging from 0.51 to 0.84 between trials. The results will provide commercial seed companies with increased confidence when developing variety mixes intended for intensive grazing. Farmers will benefit from improved variety selection and animal performance from their farms.
Application of Humic Substances in Agricultural Industry
Authors: Bezuglova Olga , Klimenko Aleksandr
Published: February 2022

Increasing agricultural productivity and, in particular, the productivity of livestock is one of the primary tasks in the present stage of development of society. This involves rational feeding and the use of biologically active substances, including humic preparations that activate the digestive and metabolic processes in the animal, promoting the transformation of feed nutrients in assimilable form, raising daily milk production and weight gain, and can play an important role in solving this urgent problem. The applications of humic substances in animal husbandry are diverse, but their use as feed additives is not developed sufficiently, and in the EU countries it is not sanctioned. Researchers in different countries have shown that humic substances in animals operate on the cellular and subcellular level, as they do in plants. Low molecular weight fractions HS enter the cell and are involved in metabolic processes, contributing to the optimization of inorganic ion passage through the intestinal wall, thereby promoting the absorption of minerals necessary for normal functioning of the organism. That is how the stimulating influence of humic substances on separate systems and on the organism as a whole is manifested. Humic substances formed from various natural materials are currently being tested in various branches of animal husbandry (cattle, pig breeding, poultry farming, fish farming, fur farming), and all the information received presents convincing evidence of the high efficiency of the humates. Such materials as peat and brown coal, vegetable waste, and vermicompost can act as a source of humic substances. However, in each case, more research is needed, specifying the dosage and schedule of their use.
Total Lipids, Fatty Acid Composition, Total Cholesterol and Lipid-Soluble Antioxidant Vitamins in the longissimus lumborum Muscle of Water Buffalo (Bubalus bubalis) from Different Production Systems of the Brazilian Eastern Amazon
Authors: Silva Jamile Andréa Rodrigues da , Rodrigues Laurena Silva , Lourenço-Júnior José de Brito , Alfaia Cristina Mateus , Costa Mónica Mendes , Castro Vinícius Costa Gomes de , Bezerra Andréia Santana , Almeida André Martinho de , Prates José António Mestre
Published: February 2022

The aim of this study was to analyze the influence of distinct production systems and seasonal variation in the Brazilian Eastern Amazon on the meat lipid composition of water buffaloes. Water buffaloes were reared in commercial farms in the Eastern Amazon either in extensive systems (Marajó Island, Nova Timboteua and Santarém locations), during rainy or dry seasons, or intensive (feedlot) systems. Animals reared in extensive systems were fed natural pastures, and those reared in feedlots were fed sorghum silage and commercial pellets. Buffaloes were slaughtered and ribeye muscle (longissimus lumborum) samples collected. Lipid-soluble antioxidant vitamins and fatty acids were analyzed. The nutritional value of meat from buffaloes reared in Marajó Island extensive system during the rainy season was higher than that of other systems, as it had lower levels of cholesterol and higher amounts of α-tocopherol associated with higher hypocholesterolaemic/hypercholesterolaemic ratio and lower index of atherogenic. Also, this meat had lower percentages of saturated fatty acids and higher proportions of mono- and polyunsaturated fatty acids (PUFA), particularly n-3 PUFA, with increased PUFA/saturated fatty acids ratio and decreased n-6/n-3 PUFA ratio. However, all extensive systems produced meat with a relatively low index of thrombogenicity values, which is advantageous for human health.
The Emerging Role of Macrophages in Chronic Obstructive Pulmonary Disease: The Potential Impact of Oxidative Stress and Extracellular Vesicle on Macrophage Polarization and Function
Authors: Finicelli Mauro , Digilio Filomena Anna , Galderisi Umberto , Peluso Gianfranco
Published: February 2022

Chronic obstructive pulmonary disease (COPD) is one of the most common airway diseases, and it is considered a major global health problem. Macrophages are the most representative immune cells in the respiratory tract, given their role in surveying airways, removing cellular debris, immune surveillance, and resolving inflammation. Macrophages exert their functions by adopting phenotypical changes based on the stimuli they receive from the surrounding tissue. This plasticity is described as M1/M2 macrophage polarization, which consists of a strictly coordinated process leading to a difference in the expression of surface markers, the production of specific factors, and the execution of biological activities. This review focuses on the role played by macrophages in COPD and their implication in inflammatory and oxidative stress processes. Particular attention is on macrophage polarization, given macrophage plasticity is a key feature in COPD. We also discuss the regulatory influence of extracellular vesicles (EVs) in cell-to-cell communications. EV composition and cargo may influence many COPD-related aspects, including inflammation, tissue remodeling, and macrophage dysfunctions. These findings could be useful for better addressing the role of macrophages in the complex pathogenesis and outcomes of COPD.
Immune Regulation of Heme Oxygenase-1 in Allergic Airway Inflammation
Authors: Xia Zhenwei , Zhong Wenwei
Published: February 2022

Heme oxygenase-1 (HO-1) is not only a rate-limiting enzyme in heme metabolism but is also regarded as a protective protein with an immunoregulation role in asthmatic airway inflammation. HO-1 exerts an anti-inflammation role in different stages of airway inflammation via regulating various immune cells, such as dendritic cells, mast cells, basophils, T cells, and macrophages. In addition, the immunoregulation role of HO-1 may differ according to subcellular locations.
Modeling and Reasoning of Contexts in Smart Spaces Based on Stochastic Analysis of Sensor Data
Authors: Lee Jae Woong , Helal Abdelsalam
Published: February 2022

In the last decade, smart spaces and automatic systems have gained significant popularity and importance. Moreover, as the COVID-19 pandemic continues, the world is seeking remote intervention applications with autonomous and intelligent capabilities. Context-aware computing (CAC) is a key paradigm that can satisfy this need. A CAC-enabled system recognizes humans’ status and situation and provides proper services without requiring manual participation or extra control by humans. However, CAC is insufficient to achieve full automaticity since it needs manual modeling and configuration of context. To achieve full automation, a method is needed to automate the modeling and reasoning of contexts in smart spaces. In this paper, we propose a method that consists of two phases: the first is to instantiate and generate a context model based on data that were previously observed in the smart space, and the second is to discern a present context and predict the next context based on dynamic changes (e.g., user behavior and interaction with the smart space). In our previous work, we defined “context” as a meaningful and descriptive state of a smart space, in which relevant activities and movements of human residents are consecutively performed. The methods proposed in this paper, which is based on stochastic analysis, utilize the same definition, and enable us to infer context from sensor datasets collected from a smart space. By utilizing three statistical techniques, including a conditional probability table (CPT), K-means clustering, and principal component analysis (PCA), we are able to automatically infer the sequence of context transitions that matches the space–state changes (the dynamic changes) in the smart space. Once the contexts are obtained, they are used as references when the present context needs to discover the next context. This will provide the piece missing in traditional CAC, which will enable the creation of fully automated smart-space applications. To this end, we developed a method to reason the current state space by applying Euclidean distance and cosine similarity. In this paper, we first reconsolidate our context models, and then we introduce the proposed modeling and reasoning methods. Through experimental validation in a real-world smart space, we show how consistently the approach can correctly reason contexts.