Potential Factors and Satisfaction of Readers in Social Reading Using Other's Comments

This exploratory study examined the impact of implicit and explicit oral corrective feedback (CF) on the development of implicit and explicit knowledge of Japanese locative particles (activity de, movement ni and location ni) for those who directly received CF and those who observed CF in the classroom. Thirty-six college students in a beginning Japanese language course received either recast (implicit), metalinguistic (explicit) or no feedback during an information-gap picture description activity, and completed a timed picture description test (implicit knowledge) and an untimed grammaticality judgement test (explicit knowledge) in a pre-test, immediate post-test and delayed post-test. The results showed that overall there was no significant difference between CF types, and that CF benefited direct and indirect recipients similarly. Potential factors that might influence the effectiveness of CF, such as instructional settings, complexity of target structures and pedagogy styles, are discussed.

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The State of Asian American Businesses

10.36650/nexus9.1-2_70-77_tranetal ◽

2011 ◽

Vol 9 (1-2) ◽

pp. 70-77

Author(s):

Diem Tran ◽

OiYan Poon

Keyword(s):

Ethnic Minorities ◽

Asian American ◽

The State ◽

Business Success ◽

American Business ◽

Policy Recommendations ◽

Business Ownership ◽

Careful Scrutiny ◽

Potential Factors ◽

Racial Ethnic

Business success is a dominant theme in the Asian American narrative. However, Asian American entrepreneurship is more complex and multilayered than commonly believed and requires careful scrutiny. This brief examines the state of Asian American business ownership between 2005 and 2007. Findings suggest that although Asian Americans form businesses at higher rates than other racial/ethnic minorities, Asian American business ownership and outcomes continue to trail those of non-Hispanic whites. Potential factors contributing to racial/ethnic gaps and policy recommendations are discussed.

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Reproductive Potential Factors of Pectinophora gossypiella (Saund.) (Lepidoptera: Gelechiidae) and Coccinella undecimpunctata (L.) Affected by Certain Compounds

Egyptian Academic Journal of Biological Sciences F Toxicology & Pest Control ◽

10.21608/eajbsf.2019.98679 ◽

2019 ◽

Vol 11 (3) ◽

pp. 181-189

Author(s):

Hemat, Moustafa ◽

Adly, M. ◽

Ahmed, F. ◽

Salem, S.

Keyword(s):

Reproductive Potential ◽

Pectinophora Gossypiella ◽

Coccinella Undecimpunctata ◽

Potential Factors

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Metacognitive diversity across cultures

10.1093/oso/9780198789710.003.0001 ◽

2018 ◽

Author(s):

Joëlle Proust ◽

Martin Fortier

Keyword(s):

Social Psychology ◽

The Self ◽

Metacognitive Skills ◽

Childrearing Practices ◽

Potential Factors

This book collects essays on linguistics, on anthropology, on philosophy, on developmental, experimental, and social psychology, and on the neurosciences, with the aim of integrating knowledge about the variability of metacognitive skills across cultures, and of identifying the potential factors accounting for such variability—such as childrearing practices, linguistic syntax and semantics, beliefs about the self, and rituals. In this introductory chapter, the main reasons that make this topic scientifically and culturally important are presented.

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What Should SMEs Consider to Introduce Environmentally Innovative Products to Market?

Sustainability ◽

10.3390/su11041117 ◽

2019 ◽

Vol 11 (4) ◽

pp. 1117 ◽

Cited By ~ 3

Author(s):

Daegyu Yang

Keyword(s):

External Information ◽

Environmental Innovation ◽

Technological Support ◽

Innovation Activities ◽

Innovative Products ◽

Managerial Implications ◽

Potential Factors ◽

The Government ◽

Develop Market ◽

Constrained Conditions

In recent years, companies are challenged not only to develop market competencies but also to deal with environmental issues. Unlike larger companies equipped with abundant resources and sustainable capabilities, small- and medium-sized enterprises (SMEs) are under relatively constrained conditions to effectively deal with environmental concerns as well as market demands. This study attempts to examine a set of potential factors by which SMEs can overcome such limited conditions and bring novel and environmentally beneficial products to market through their innovative activities. Organization theories, such as organizational learning, social network theory, and new-institutional theory, provide a theoretical framework for this study that SMEs may utilize their resources and capabilities from internal, external, and institutional domains. The hypotheses are tested using the Korea Innovation Survey 2010. The analyses show that the likelihood of the market introduction of new and environmentally innovative products is increased not only when an SME makes more monetary investments on internal innovative activities and experiences more success in general innovation activities, but also when an SME inputs more monetary investments into the search for technological knowledge from the outside and utilizes more diverse external information sources. Interestingly, the findings demonstrate that monetary support from the government do not have significant impacts on an SME’s environmental innovation, while a non-monetary technological support system operated by government raises the likelihood of the market introduction of new and environmentally innovative products. Theoretical contributions and managerial implications are discussed.

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Consideration of Gut Microbiome in Murine Models of Diseases

Microorganisms ◽

10.3390/microorganisms9051062 ◽

2021 ◽

Vol 9 (5) ◽

pp. 1062

Author(s):

Chunye Zhang ◽

Craig L. Franklin ◽

Aaron C. Ericsson

Keyword(s):

Animal Models ◽

Mouse Models ◽

Biomedical Research ◽

Gut Microbiome ◽

Close Association ◽

Disease Model ◽

Potential Contributor ◽

Potential Factors ◽

Models Of Disease ◽

The Impact

The gut microbiome (GM), a complex community of bacteria, viruses, protozoa, and fungi located in the gut of humans and animals, plays significant roles in host health and disease. Animal models are widely used to investigate human diseases in biomedical research and the GM within animal models can change due to the impact of many factors, such as the vendor, husbandry, and environment. Notably, variations in GM can contribute to differences in disease model phenotypes, which can result in poor reproducibility in biomedical research. Variation in the gut microbiome can also impact the translatability of animal models. For example, standard lab mice have different pathogen exposure experiences when compared to wild or pet store mice. As humans have antigen experiences that are more similar to the latter, the use of lab mice with more simplified microbiomes may not yield optimally translatable data. Additionally, the literature describes many methods to manipulate the GM and differences between these methods can also result in differing interpretations of outcomes measures. In this review, we focus on the GM as a potential contributor to the poor reproducibility and translatability of mouse models of disease. First, we summarize the important role of GM in host disease and health through different gut–organ axes and the close association between GM and disease susceptibility through colonization resistance, immune response, and metabolic pathways. Then, we focus on the variation in the microbiome in mouse models of disease and address how this variation can potentially impact disease phenotypes and subsequently influence research reproducibility and translatability. We also discuss the variations between genetic substrains as potential factors that cause poor reproducibility via their effects on the microbiome. In addition, we discuss the utility of complex microbiomes in prospective studies and how manipulation of the GM through differing transfer methods can impact model phenotypes. Lastly, we emphasize the need to explore appropriate methods of GM characterization and manipulation.

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Data-Driven Analysis on Inter-City Commuting Decisions in Germany

Sustainability ◽

10.3390/su13116320 ◽

2021 ◽

Vol 13 (11) ◽

pp. 6320

Author(s):

Hui Chen ◽

Sven Voigt ◽

Xiaoming Fu

Keyword(s):

Good Accuracy ◽

Housing Price ◽

Machine Learning Algorithms ◽

Data Driven ◽

Steady Increase ◽

Time Duration ◽

Major Bottleneck ◽

Potential Factors ◽

Commuting Patterns ◽

Industry Sectors

Understanding commuters’ behavior and influencing factors becomes more and more important every day. With the steady increase of the number of commuters, commuter traffic becomes a major bottleneck for many cities. Commuter behavior consequently plays an increasingly important role in city and transport planning and policy making. Although prior studies investigated a variety of potential factors influencing commuting decisions, most of them are constrained by the data scale in terms of limited time duration, space and number of commuters under investigation, largely owing to their dependence on questionnaires or survey panel data; as such only small sets of features can be explored and no predictions of commuter numbers have been made, to the best of our knowledge. To fill this gap, we collected inter-city commuting data in Germany between 1994 and 2018, and, along with other data sources, analyzed the influence of GDP, housing and the labor market on the decision to commute. Our analysis suggests that the access to employment opportunities, housing price, income and the distribution of the location’s industry sectors are important factors in commuting decisions. In addition, different age, gender and income groups have different commuting patterns. We employed several machine learning algorithms to predict the commuter number using the identified related features with reasonably good accuracy.

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Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents

BMC Nephrology ◽

10.1186/s12882-021-02356-4 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Alieh Gholaminejad ◽

Yousof Gheisari ◽

Sedigheh Jalali ◽

Amir Roointan

Keyword(s):

Iga Nephropathy ◽

Regulatory Network ◽

Target Genes ◽

Expression Profiles ◽

Gene Signature ◽

Gene Expression Omnibus ◽

Integrative Approach ◽

Potential Factors ◽

Ngf Signaling ◽

Underlying Mechanisms

Abstract Background IgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its diagnosis. In this investigation, an integrative approach was applied to mRNA and miRNA expression profiles in PBMCs to discover a gene signature and novel potential targets/biomarkers in IgAN. Methods Datasets were selected from gene expression omnibus database. After quality control checking, two datasets were analyzed by Limma to identify differentially expressed genes/miRNAs (DEGs and DEmiRs). Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. The intersecting mRNAs, DEmiRs, related transcription factors (from TRRUST database), and long-non coding RNAs (from LncTarD database) were used for the construction of a multilayer regulatory network via Cytoscape. Result “GSE25590” (miRNA) and “GSE73953” (mRNA) datasets were analyzed and after integration, 628 intersecting mRNAs were identified. The mRNAs were mainly associated with “Innate immune system”, “Apoptosis”, as well as “NGF signaling” pathways. A multilayer regulatory network was constructed and several hub-DEGs (Tp53, STAT3, Jun, etc.), DEmiRs (miR-124, let-7b, etc.), TFs (NF-kB, etc.), and lncRNAs (HOTAIR, etc.) were introduced as potential factors in the pathogenesis of IgAN. Conclusion Integration of two different expression datasets and construction of a multilayer regulatory network not only provided a deeper insight into the pathogenesis of IgAN, but also introduced several key molecules as potential therapeutic target/non-invasive biomarkers.

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Countries with delayed COVID-19 introduction – characteristics, drivers, gaps, and opportunities

Globalization and Health ◽

10.1186/s12992-021-00678-4 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Zheng Li ◽

Cynthia Jones ◽

Girum S. Ejigu ◽

Nisha George ◽

Amanda L. Geller ◽

...

Keyword(s):

Geographic Location ◽

Control Measures ◽

World Health ◽

Small Island ◽

Influenza Surveillance ◽

Middle Income ◽

School Closing ◽

Travel Restrictions ◽

Potential Factors ◽

Health Organization

Abstract Background Three months after the first reported cases, COVID-19 had spread to nearly 90% of World Health Organization (WHO) member states and only 24 countries had not reported cases as of 30 March 2020. This analysis aimed to 1) assess characteristics, capability to detect and monitor COVID-19, and disease control measures in these 24 countries, 2) understand potential factors for the reported delayed COVID-19 introduction, and 3) identify gaps and opportunities for outbreak preparedness, particularly in low and middle-income countries (LMICs). We collected and analyzed publicly available information on country characteristics, COVID-19 testing, influenza surveillance, border measures, and preparedness activities in these countries. We also assessed the association between the temporal spread of COVID-19 in all countries with reported cases with globalization indicator and geographic location. Results Temporal spreading of COVID-19 was strongly associated with countries’ globalization indicator and geographic location. Most of the 24 countries with delayed COVID-19 introduction were LMICs; 88% were small island or landlocked developing countries. As of 30 March 2020, only 38% of these countries reported in-country COVID-19 testing capability, and 71% reported conducting influenza surveillance during the past year. All had implemented two or more border measures, (e.g., travel restrictions and border closures) and multiple preparedness activities (e.g., national preparedness plans and school closing). Conclusions Limited testing capacity suggests that most of the 24 delayed countries may have lacked the capability to detect and identify cases early through sentinel and case-based surveillance. Low global connectedness, geographic isolation, and border measures were common among these countries and may have contributed to the delayed introduction of COVID-19 into these countries. This paper contributes to identifying opportunities for pandemic preparedness, such as increasing disease detection, surveillance, and international collaborations. As the global situation continues to evolve, it is essential for countries to improve and prioritize their capacities to rapidly prevent, detect, and respond, not only for COVID-19, but also for future outbreaks.

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Objective and Subjective Outcomes in Patients with Hearing Aids: A Cross-Sectional, Comparative, Associational Study

Audiology and Neurotology ◽

10.1159/000516623 ◽

2021 ◽

pp. 1-9

Author(s):

Xunyi Wang ◽

Yun Zheng ◽

Gang Li ◽

Jingzhe Lu ◽

Yan Yin

Keyword(s):

Hearing Aids ◽

Patient Reported Outcomes ◽

Cross Sectional ◽

Patient Reported ◽

Objective Tests ◽

The Difference ◽

Potential Factors ◽

Positive Correlations ◽

The Relationship ◽

Subjective Outcomes

Introduction: Outcome assessment for hearing aids (HAs) is an essential part of HA fitting and validation. There is no consensus about the best or standard approach for evaluating HA outcomes. And, the relationship between objective and subjective measures is ambiguous. This study aimed to determine the outcomes after HA fitting, explore correlations between subjective benefit and acoustic gain improvement as well as objective audiologic tests, and investigate several variables that may improve patients’ perceived benefits. Methods: Eighty adults with bilateral symmetrical hearing loss using HAs for at least 1 month were included in this study. All subjects completed the pure tone average (PTA) threshold and word recognition score (WRS) tests in unaided and aided conditions. We also administered the Chinese version of International Outcome Inventory for Hearing Aids (IOI-HA), to measure participants’ subjective benefits. Objective HA benefit (acoustic gain improvement) was defined as the difference in thresholds or scores between aided and unaided conditions indicated with ΔPTA and ΔWRS. Thus, patients’ baseline hearing levels were taken into account. Correlations were assessed among objective audiologic tests (PTA and WRS), acoustic gain improvement (ΔPTA and ΔWRS), multiple potential factors, and IOI-HA overall scores. Results: PTA decreased significantly, but WRS did not increase when aided listening was compared to unaided listening. Negative correlations between PTAs and IOI-HA scores were significant but weak (r = −0.370 and r = −0.393, all p < 0.05). Significant weak positive correlations were found between WRSs and IOI-HA (r = 0.386 and r = 0.309, all p < 0.05). However, there was no correlation among ΔPTA, ΔWRS, and IOI-HA (r = 0.056 and r = −0.086, all p > 0.05). Moreover, 2 nonaudiological factors (age and daily use time) were significantly correlated with IOI-HA (r = −0.269 and r = 0.242, all p < 0.05). Conclusions: Correlations among objective audiologic tests, acoustic gain, and subjective patient-reported outcomes were weak or absent. Subjective questionnaires and objective tests do not reflect the same hearing capability. Therefore, it is advisable to evaluate both objective and subjective outcomes when analyzing HA benefits on a regular basis and pay equal attention to nonaudiological and audiological factors.

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