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Threat Upon Entry: Effect of Coworker Ostracism on Newcomers' Proactive Behaviors During Organizational Socialization

Liu P, Zhang Y, Ji Y, Wu S

Front Psychol, 2021;12:545478.
PMID: 33889103 DOI: 10.3389/fpsyg.2021.545478

Extant literature has underlined the importance of newcomer proactive socialization to the organization. However, the effect of coworker ostracism on newcomers' proactive behaviors has not been noticed. Drawing on the conservation of resources (COR) theory, we proposed a model exploring how coworker ostracism impacted newcomers' proactive behaviors via the mediation of psychological availability. Through an empirical study with a sample of 263 newcomers and three waves of longitudinal data, we found that coworker ostracism had a negative effect on newcomers' information seeking and guanxi developing. In addition, emotional intelligence enhanced the negative effect of coworker ostracism on newcomers' psychological availability and the indirect influence of coworker ostracism on newcomers' proactive behaviors via psychological availability. Important theoretical and practical implications are discussed.
Fulltext Prostate cancer in Asia: design of a patient registry to inform real-world treatments, outcomes, and quality of life

Liu Y, Uemura H, Ye D, Lee JY, Chiong E, Pu YS, et al.

Prostate Int, 2019 Sep;7(3):108-113.
PMID: 31485435 DOI: 10.1016/j.prnil.2018.12.001

Background: The incidence of prostate cancer (PC) in Asian countries is increasing for reasons that are not clear. Data describing how PC is diagnosed and treated are fragmented across Asia, with marked intercountry and intracountry differences in outcome and knowledge gaps in clinical diagnostic and treatment practices. To address these knowledge gaps, we have established a PC disease registry with the aim of providing a comprehensive picture of PC diagnosis, prognosis, treatment and outcome, population characteristics, and comorbidities in real-world clinical practice in Asia.
Methods: This is a multinational, multicenter, longitudinal, and observational registry of PC patients presenting to participating tertiary-care hospitals in eight Asian countries (www.clinicaltrials.gov NCT02546908. Registry Identifier: NOPRODPCR4001). Approximately 3500-4000 eligible patients with existing or newly diagnosed high-risk localized PC (cohort 1), nonmetastatic biochemically recurrent PC (cohort 2), or metastatic PC (cohort 3) will be consecutively enrolled and followed-up for 5 years. An enrollment cap of 600 patients each will be applied to cohorts 1 and 2. Disease status is collected at enrollment, and outcome variables captured at 3-monthly intervals include diagnostic/staging, treatments including reason for change, laboratory results, comorbidities, and concomitant medications. Treatments and survival outcomes will be captured real time until study end. Patient-reported quality-of-life will be measured every 6 months, and medical resource utilization summarized at study end. Data analysis will include exploratory analyses of potential associations between multiple risk factors and socioeconomic variables with disease progression and evaluation of various treatments for PC including novel therapies on clinical outcome and health-related quality-of-life outcomes.
Results: 3636 men with PC were enrolled until July 2018; 416 in cohort 1, 399 in cohort 2 and 2821 in cohort 3.
Discussion: A total of 3636 patients were enrolled until July 2018. The prospective disease registry will provide comprehensive and wide-ranging real-world information on how PC is diagnosed and treated in Asia. Such information can be used to inform policy development for best practice and direct clinical study design evaluating new treatments.
Fulltext Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

Peng C, Wu C, Gao L, Zhang J, Alvin Yau KL, Ji Y

Sensors (Basel), 2020 Sep 07;20(18).
PMID: 32906707 DOI: 10.3390/s20185079

The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of important applications including collaborative autonomous driving and advanced transportation systems. Due to the mobility of vehicles, strict application requirements, and limited communication resources, the conventional centralized control fails to provide sufficient quality of service for connected vehicles, so a decentralized approach is required in the vicinity to satisfy the requirements of delay-sensitive and mission-critical applications. A decentralized system is also more resistant to the single point of failure problem and malicious attacks. Blockchain technology has been attracting great interest due to its capability of achieving a decentralized, transparent, and tamper-resistant system. There are many studies focusing on the use of blockchain in managing data and transactions in vehicular environments. However, the application of blockchain in vehicular environments also faces some technical challenges. In this paper, we first explain the fundamentals of blockchain and vehicular IoT. Then, we conduct a literature review on the existing research efforts of the blockchain for vehicular IoT by discussing the research problems and technical issues. After that, we point out some future research issues considering the characteristics of both blockchain and vehicular IoT.
Engineering ellipsoidal cap-like hydrogel particles as building blocks or sacrificial templates for three-dimensional cell culture

Zhang W, Huang G, Ng K, Ji Y, Gao B, Huang L, et al.

Biomater Sci, 2018 Mar 07.
PMID: 29511758 DOI: 10.1039/c7bm01186e

Hydrogel particles that can be engineered to compartmentally culture cells in a three-dimensional (3D) and high-throughput manner have attracted increasing interest in the biomedical area. However, the ability to generate hydrogel particles with specially designed structures and their potential biomedical applications need to be further explored. This work introduces a method for fabricating hydrogel particles in an ellipsoidal cap-like shape (i.e., ellipsoidal cap-like hydrogel particles) by employing an open-pore anodic aluminum oxide membrane. Hydrogel particles of different sizes are fabricated. The ability to produce ellipsoidal cap-like magnetic hydrogel particles with controlled distribution of magnetic nanoparticles is demonstrated. Encapsulated cells show high viability, indicating the potential for using these hydrogel particles as structure- and remote-controllable building blocks for tissue engineering application. Moreover, the hydrogel particles are also used as sacrificial templates for fabricating ellipsoidal cap-like concave wells, which are further applied for producing size controllable cell aggregates. The results are beneficial for the development of hydrogel particles and their applications in 3D cell culture.
Fulltext The Formation of 3-Monochloropropanediol Esters and Glycidyl Esters during Heat-Induced Processing Using an Olive-Based Edible Oil

Ji Y, Lan D, Wang W, Goh KM, Tan CP, Wang Y

Foods, 2022 Dec 16;11(24).
PMID: 36553815 DOI: 10.3390/foods11244073

With the prevalence of edible diacylglycerol (DAG) oil, which is beneficial to human, the generation of 3-monochloropropanediol esters (3-MCPDE) and glycidyl esters (GE) as well as the stability of physical properties during heat-induced processing still need to be explored. In this study, the experiment used olive-based edible oil with different contents of DAG (40, 60, and 80%) to make crackers and fry chicken. They were heated at 160 and 180 °C to determine the changes in 3-MCPDE and GE, the crackers’ hardness and gumminess, and the physical properties of the oil. During baking and frying, 3-MCPDE decreased, while the content of GE slightly increased with the prolonged heating duration. Finally, 3-MCPDE and GE were lower than 1.25 mg/kg and 1.00 mg/kg, respectively. The AV increased proportionally as duration increased and POV was below 0.30 g/100 g. In general, the changes in 3-MCPDE and GE were related to the heating temperature and duration, and not significantly (p > 0.05) related to the content of DAG.
Fulltext Deep Neural Network-Based Fusion Localization Using Smartphones

Yan S, Su Y, Xiao J, Luo X, Ji Y, Ghazali KHB

Sensors (Basel), 2023 Oct 24;23(21).
PMID: 37960380 DOI: 10.3390/s23218680

Indoor location-based services (LBS) have tremendous practical and social value in intelligent life due to the pervasiveness of smartphones. The magnetic field-based localization method has been an interesting research hotspot because of its temporal stability, ubiquitousness, infrastructure-free nature, and good compatibility with smartphones. However, utilizing discrete magnetic signals may result in ambiguous localization features caused by random noise and similar magnetic signals in complex symmetric and large-scale indoor environments. To address this issue, we propose a deep neural network-based fusion indoor localization system that integrates magnetic and pedestrian dead reckoning (PDR). In this system, we first propose a ResNet-GRU-LSTM neural network model to achieve magnetic localization more accurately. Afterward, we put forward a multifeatured-driven step length estimation. A hierarchy GRU (H-GRU) neural network model is proposed, and a multidimensional dataset using acceleration and a gyroscope is constructed to extract more valid characteristics. Finally, more reliable and accurate pedestrian localization can be achieved under the particle filter framework. Experiments were conducted at two trial sites with two pedestrians and four smartphones. Results demonstrate that the proposed system achieves better accuracy and robustness than other traditional localization algorithms. Moreover, the proposed system exhibits good generality and practicality in real-time localization with low cost and low computational complexity.
Fulltext The reciprocal relationships between meaning in life and smartphone addiction among Chinese college students: evidence from a three-wave cross-lagged panel model

Zhao H, Song T, Rafik-Galea S, Dong J, Fitriana M, Ji Y, et al.

Front Public Health, 2023;11:1202741.
PMID: 37521981 DOI: 10.3389/fpubh.2023.1202741

BACKGROUND: Previous cross-sectional studies have shown that meaning in life (MIL) is closely associated with college students' smartphone addiction (SA), but the causal relationship between MIL and college students' SA is uncertain. Therefore, conducting a longitudinal study to explore their relationship is very necessary. Furthermore, some studies have implied possible gender differences in the relationship between MIL and SA and the relationship between SA and MIL. Therefore, it is necessary to further examine whether there are gender differences in the above relationships.
METHODS: The present study constructed a three-wave cross-lag panel model to explore the relationships between MIL and college students' SA. Three waves of data were collected from 705 college students (male: 338; female: 367) in China for three consecutive years, and the interval of data collection was 1 year. These college students completed the same online questionnaire regarding MIL and SA.
RESULTS: (1) The MIL of male college students was significantly stronger than that of female college students at time 1, time 2, and time 3, (2) Female college students' SA at time 1, time 2, and time 3 was more serious than that of male college students, (3) There were reciprocal relationships between MIL and college students' SA, (4) The influence of MIL on female college students' SA was significantly stronger than that of male college students, and (5) The influence of SA on female college students' MIL was significantly stronger than that of male college students.
CONCLUSION: This study showed reciprocal relationships between MIL and SA among male college students and female college students. The findings further deepen our understanding of the relationship between MIL and SA and provide a gender perspective for preventing or intervening with college students' SA.
Fulltext The impact of COVID-19 pandemic outbreak on education and mental health of Chinese children aged 7-15 years: an online survey

Ma Z, Idris S, Zhang Y, Zewen L, Wali A, Ji Y, et al.

BMC Pediatr, 2021 02 24;21(1):95.
PMID: 33627089 DOI: 10.1186/s12887-021-02550-1

BACKGROUND: The emerging of psychological problems triggered by COVID-19 particularly in children have been extensively highlighted and emphasized, but original research in this respect is still lagging behind. Therefore, we designed this study to evaluate the impact of COVID-19 pandemic on mental health and the effectiveness and attitudes towards online education among Chinese children aged 7-15 years.
METHODS: A detailed questionnaire, comprising of 62 questions was designed and parents or caretakers of 7 to 15 years old children were invited to participate via WeChat, a multi-purpose messaging, social media and mobile payment app, which is widely used by the Chinese population. A total of 668 parents across different regions of China were included.
RESULTS: During COVID-19 pandemic, 20.7 and 7.2% children report experiencing post-traumatic stress disorder (PTSD) and depressive symptoms due to the COVID-19 pandemic. PTSD and SMFQ-P scores are significantly higher in middle school and boarding school students compared to primary and day school students. Multiple logistic regression analysis revealed that school system and province of origin are factors significantly associated with developing PSTD symptoms. 44.3% respondents feel online education is effective in gaining knowledge and improving practical and communications skills. 78.0% believe the online education system is efficient. Overall 79.8% respondents are satisfied and children can adapt to this new education system. During the COVID-19 pandemic, we found 1 in five children have PTSD and 1 in 14 children have depressive symptoms.
CONCLUSION: In summary, COVID-19 epidemic has caused PTSD and depression symptoms among Chinese children aged 7 to 15 years. In general, a large proportion of respondents are satisfied with online education, but still a substantial proportion of students are not comfortable with this new form of learning. Authorities should optimize online education systems and implement effective interventions to cope with the psychological effects of COVID-19 on children, as it is affecting the global population and remains uncertain when it will end.
Fulltext Treatment of dementia and mild cognitive impairment with or without cerebrovascular disease: Expert consensus on the use of Ginkgo biloba extract, EGb 761®

Kandiah N, Ong PA, Yuda T, Ng LL, Mamun K, Merchant RA, et al.

CNS Neurosci Ther, 2019 02;25(2):288-298.
PMID: 30648358 DOI: 10.1111/cns.13095

BACKGROUND: The Ginkgo biloba special extract, EGb 761® has been widely used in the treatment of neuropsychiatric disorders, including Alzheimer's disease (AD).
METHODS: To guide clinical practice in the Asian region, the Asian Clinical Expert Group on Neurocognitive Disorders compiled evidence-based consensus recommendations regarding the use of EGb 761® in neurocognitive disorders with/without cerebrovascular disease.
RESULTS: Key randomized trials and robust meta-analyses have demonstrated significant improvement in cognitive function, neuropsychiatric symptoms, activities of daily living (ADL) and quality of life with EGb 761® versus placebo in patients with mild-to-moderate dementia. In those with mild cognitive impairment (MCI), EGb 761® has also demonstrated significant symptomatic improvement versus placebo. World Federation of Societies of Biological Psychiatry guidelines list EGb 761® with the same strength of evidence as acetylcholinesterase inhibitors and N-methyl-D-aspartate (NMDA) antagonists e.g. memantine (Grade 3 recommendation; Level B evidence). Only EGb 761® had Level B evidence in improving cognition, behaviour, and ADL in both AD and vascular dementia patients. Safety analyses show EGb 761® to have a positive risk-benefit profile. While concerns have been raised regarding a possible increased bleeding risk, several randomized trials and two meta-analyses have not supported this association.
CONCLUSIONS: The Expert Group foresee an important role for EGb 761® , used alone or as an add-on therapy, in the treatment of MCI and dementias, particularly when patients do not derive benefit from acetylcholinesterase inhibitors or NMDA antagonists. EGb 761® should be used in alignment with local clinical practice guidelines.
Seeking career clarity

Antoniou C, Burnette K, Christensen-Quick A, Lewinska M, Ji Y, Khalifa MM, et al.

Science, 2020 04 03;368(6486):26-28.
PMID: 32241935 DOI: 10.1126/science.abb6859
Fulltext Selective‐logging and oil palm: multitaxon impacts, biodiversity indicators, and trade‐offs for conservation planning

Edwards DP, Magrach A, Woodcock P, Ji Y, Lim NT-, Edwards FA, et al.

Ecol Appl, 2014;24(8):2029-49.
PMID: 29185670 DOI: 10.1890/14-0010.1

Strong global demand for tropical timber and agricultural products has driven large-scale logging and subsequent conversion of tropical forests. Given that the majority of tropical landscapes have been or will likely be logged, the protection of biodiversity within tropical forests thus depends on whether species can persist in these economically exploited lands, and if species cannot persist, whether we can protect enough primary forest from logging and conversion. However, our knowledge of the impact of logging and conversion on biodiversity is limited to a few taxa, often sampled in different locations with complex land-use histories, hampering attempts to plan cost-effective conservation strategies and to draw conclusions across taxa. Spanning a land-use gradient of primary forest, once- and twice-logged forests, and oil palm plantations, we used traditional sampling and DNA metabarcoding to compile an extensive data set in Sabah, Malaysian Borneo for nine vertebrate and invertebrate taxa to quantify the biological impacts of logging and oil palm, develop cost-effective methods of protecting biodiversity, and examine whether there is congruence in response among taxa. Logged forests retained high species richness, including, on average, 70% of species found in primary forest. In contrast, conversion to oil palm dramatically reduces species richness, with significantly fewer primary-forest species than found on logged forest transects for seven taxa. Using a systematic conservation planning analysis, we show that efficient protection of primary-forest species is achieved with land portfolios that include a large proportion of logged-forest plots. Protecting logged forests is thus a cost-effective method of protecting an ecologically and taxonomically diverse range of species, particularly when conservation budgets are limited. Six indicator groups (birds, leaf-litter ants, beetles, aerial hymenopterans, flies, and true bugs) proved to be consistently good predictors of the response of the other taxa to logging and oil palm. Our results confidently establish the high conservation value of logged forests and the low value of oil palm. Cross-taxon congruence in responses to disturbance also suggests that the practice of focusing on key indicator taxa yields important information of general biodiversity in studies of logging and oil palm.
Fulltext Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding

Ji Y, Ashton L, Pedley SM, Edwards DP, Tang Y, Nakamura A, et al.

Ecol Lett, 2013 Oct;16(10):1245-57.
PMID: 23910579 DOI: 10.1111/ele.12162

To manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard data sets that were collected in Malaysia (tropical), China (subtropical) and the United Kingdom (temperate) and that comprised 55,813 arthropod and bird specimens identified to species level with the expenditure of 2,505 person-hours of taxonomic expertise. The metabarcode and standard data sets exhibit statistically correlated alpha- and beta-diversities, and the two data sets produce similar policy conclusions for two conservation applications: restoration ecology and systematic conservation planning. Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution.

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