Gotowa bibliografia na temat „Zhan lan guan”

Ruang metrik merupakan salah satu konsep yang penting dalam ranah analisis fungsional. Dikatakan penting karena konsep ruang metrik banyak dipakai dalam teori-teori matematika yang lain dan sering dipakai juga dalam studi fisika lanjut. Ruang metrik adalah suatu himpunan yang berlaku suatu metrik. Metrik adalah suatu fungsi dengan domain sembarang himpunan yang tak kosong menuju kodomain bilangan real atau fungsi bernilai real dengan definisi urutan dalam bilangan real. Pada tahun 2007 Huang Long Guang dan Zhang Xian menggeneralisasikan konsep ruang metrik menjadi ruang metrik cone. Tujuan dari penelitian ini adalah untuk mengkaji konsep dasar ruang metrik cone yang meliputi mengkaji barisan konvergen, barisan cauchy beserta contohnya dan hubungan barisan konvergen dan barisan terbatas dalam ruang metrik cone, mengkaji hubungan ruang metrik dan ruang metrik cone dan mengkaji salah satu teorema titik tetap dalam ruang metrik cone. Penelitian ini dilakukan dengan menggunakan metode studi literatur yaitu dengan membahas dan menjabarkan konsep-konsep yang sudah ada di dalam literatur. Diharapkan dari penelitian ini dapat memberikan gambaran umum tentang konsep dasar ruang metrik cone. Selanjutnya dari penelitian ini dapat dibuktikan bahwa setiap ruang metrik adalah ruang metrik cone dengan ruang Banach dan cone tertentu dan juga dapat dibuktikan bahwa pemetaan kontraktif pada ruang metrik cone dengan cone normal mempunyai titik tetap tunggal.

Abstract Advanced understanding of cancer immunology has contributed to a significant decline in cancer deaths in the past few decades. However, there are still vast majority of patients with no effective response for current immunotherapy drugs because of some innate immune cells, particularly macrophages and neutrophils, promoting all steps of malignant progression to metastasis. Therefore, the development of new strategies against these pro-metastatic non-tumor components in the tumor microenvironment is in need. Tumor-associated macrophage (TAMs), as the critical component of tumor microenvironment (TME), display diverse and even opposing function phenotypes, but without systematic investigation on their ubiquitous characteristics across different cancer types. Here, we perform pan-cancer analysis on 92 samples across 6 solid cancer types to profile the TME of normal, primary tumor, metastatic lymph node and distant metastasis at single-cell resolution, illustrating the commonalities/plasticity of heterogenous TAMs. We uncover 21 distinct subtypes of TAMs with varying abundance and biological function in different tissue microenvironment, providing evidence for the plasticity of TAMs. In particular, the enrichment of SPP1+MMP12+ macrophages in the TME of lymph node metastasis, likely interacting with metastasis-initiating cells (MICs), is associated with promoting malignant progression to metastasis and survival stratifications. Multi-color immunofluorescence (mIF) staining for relevant markers is being performed in mouse models and clinical samples for comprehensive validation. Our study comprehensively describes the characteristics and dynamics of TAMs and highlights their heterogeneity and plasticity depending on their surrounding microenvironment. Citation Format: Baifeng Zhang, Dora Lai-wan Kwong, Xin-Yuan Guan. Pan-cancer single-cell analysis reveals the interactions of SPP1+MMP12+ macrophages with metastasis-initiating cells that drives metastasis. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4699.

Abstract Background: Nasopharyngeal carcinoma (NPC) is a highly undifferentiated squamous malignancy with dense infiltration of dysfunctional T cells that is endemic in East and Southeast Asia. Based on multicentral single-cell RNA sequencing (scRNA-seq) analysis, we have identified SRY-Box Transcription Factor 4 (SOX4), an essential developmental transcription factor, is specifically and highly expressed by NPC cells and contributes to tumor growth and distant metastasis. SOX4 upregulation also promotes ZIP14-mediated intracellular zinc uptake, leading to competitive deprivation of free zinc in the tumor microenvironment (TME), which inhibits zinc-dependent T cell receptor (TCR) activation. Thus, our study provides experimental insights into how NPC develops and evades immune surveillance. Methods: scRNA-seq data and bulk RNA-Seq data from our lab and GEO database were integrated and analyzed on a bioinformatic basis. Immunohistochemistry staining was performed to validate the SOX4 protein level in an independent clinical cohort. Cell lines, patient-derived xenografts, and humanized mouse models were generated to evaluate the in vitro and in vivo function of SOX4. Flow cytometry was used for T-cell immunophenotyping. Immunoprecipitation was used to study protein-DNA interaction. The dual-luciferase reporter assay was utilized to demonstrate the transcriptional regulation of SOX4 on the ZIP14 promoter. qRT-PCR, immunoblotting, and immunofluorescence staining were also employed for functional studies. Result: Our transcriptome analysis showed SOX4 was frequently overexpressed by NPC cells, compared to infiltrating immune and stromal cells. Increasing SOX4 expression in normal nasopharyngeal epithelial cells enhanced proliferation, stemness, migration, and invasion. SOX4 also transcriptionally upregulated ZIP14 in NPC cells which promoted the uptake of free zinc from the TME. Thus, competitive deprivation of zinc between NPC cells and T cells in the TME inhibited TCR signaling and T-cell cytotoxicity, leading to NPC immune evasion. Conclusion: This study reveals the SOX4-ZIP14-Zinc axis as a vital mechanism for simultaneously inducing tumor development and immunosuppression in the NPC microenvironment. Therapeutic inhibition of SOX4 or ZIP14 is a new strategy for NPC patients and potentially synergizes with PD-1/PD-L1 blockades to overcome immunosuppressive signals in the TME. Citation Format: Yuma Yang, Lanqi Gong, Jie Luo, Xiaona Fang, Jiao Huang, Lu Bai, Qin Liu, Beilei Liu, Shan Liu, Jinlin Huang, Ching Ngar Wong, Baifeng Zhang, Danyang Zheng, Yu Zhang, Wei Dai, Xinyuan Guan. SOX4 promotes tumor development and immune evasion via disruption of zinc homeostasis between nasopharyngeal carcinoma cells and T cells. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4450.

Abstract Objectives: Cholangiocarcinoma (CCA) is a heterogeneous malignancy with high mortality and dismal prognosis, and an urgent clinical need for new therapies. Knowledge of the CCA epigenome is largely limited to aberrant DNA methylation. Dysregulation of enhancer activities has been identified to affect carcinogenesis and leveraged for new therapies but is uninvestigated in CCA. Our aim is to identify potential therapeutic targets in different subtypes of CCA through enhancer profiling. Design: Integrative multi-omics enhancer activity profiling of diverse CCA was performed. A panel of diverse CCA cell lines, and patient-derived and cell line-derived xenografts were used to study identified enriched pathways and vulnerabilities. NanoString, multiplex immunohistochemistry staining, and single-cell spatial transcriptomics were used to explore immunogenicity of diverse CCA. Results: We identified 3 distinct groups, associated with different etiologies and unique pathways. Drug inhibitors of identified pathways reduced tumor growth in in-vitro and in-vivo models. The first group (ESTRO), with mostly fluke-associated CCAs, displayed activation in estrogen signaling and were sensitive to MTOR inhibitors. Another group (OXPHO), with mostly BAP1 and IDH-mutant CCAs, displayed activated oxidative phosphorylation pathways, and were sensitive oxidative phosphorylation inhibitors. Immune-related pathways were activated in the final group (IMMUN), made up of an immunogenic CCA subtype and CCA with aristolochic acid (AA) mutational signatures. Intra-tumor differences in AA mutation load were correlated to intra-tumor variation of different immune cell populations. Conclusion: Our study elucidates the mechanisms underlying enhancer dysregulation and deepens understanding of different tumorigenesis processes in distinct CCA subtypes, with potential significant therapeutics and clinical benefits. Citation Format: Jing Han Hong, Chern Han Yong, Hong Lee Heng, Jason Yongsheng Chan, Mai Chan Lau, Jianfeng Chen, Jing Yi Lee, Abner Herbert Lim, Zhimei Li, Peiyong Guan, Pek Lim Chu, Sheng Rong Ng, Xiaosai Yao, Peili Wang, Rong Xiao, Xian Zeng, Yichen Sun, Wei Liu, Joanna Koh, Felicia Yu Ting Wee, Jeffrey Chun Tatt Lim, Cedric Chuan Young Ng, Xiu Yi Kwek, Poramate Klanrit, Yaojun Zhang, Jiaming Lai, David Wai Meng Tai, Chawalit Pairojkul, Simona Dima, Irinel Popescu, Sen-Yung Hsieh, Ming-Chin Yu, Joe Yeong, Sarinya Kongpetch, Apinya Jusakul, Watcharin Loilome, Patrick Tan, Jing Tan, Bin Tean Teh. Integrative Multi-Omics Enhancer Activity Profiling Identifies Therapeutic Vulnerabilities in Cholangiocarcinoma of Different Etiologies [abstract]. In: Proceedings of Frontiers in Cancer Science; 2023 Nov 6-8; Singapore. Philadelphia (PA): AACR; Cancer Res 2024;84(8_Suppl):Abstract nr LT09.

Abstract Background: Biomarkers that could predict the beneficial effects of immune checkpoint inhibitors (ICIs) in combination with chemotherapy in treatment-naive advanced or recurrent gastric or gastroesophageal junction (G/GEJ) adenocarcinoma patients are lacking. Methods: We conducted a retrospective analysis of patients with G/GEJ adenocarcinoma who had undergone first-line treatment with programmed death-1 (PD-1) inhibitor plus chemotherapy between October 2017 and July 2021. Comparative analysis of the objective response rate (ORR) was performed using the Chi-square or Fisher’s exact tests. Survival curves were plotted by the Kaplan-Meier analysis and compared for significance with a log-rank test. Univariate and multivariate Cox proportional hazard models were established for evaluating the prognostic value of clinicopathological factors. Results: Of the 172 enrolled patients, 142 showed measurable lesions. The ORR was 52.8%. Higher response rates were observed in patients with age greater than or equal to 60 (p = 0.013), non-diffuse type (p < 0.001), synchronous metastasis (p = 0.029), distant lymph node metastasis (p = 0.002), non-peritoneal metastasis (p= 0.002), HER2 positivity (p = 0.002), and PD-L1 CPS greater than or equal to 5 (p = 0.017). Through univariate analysis, age, histology, number of metastatic sites, and peritoneal metastasis were found to be associated with progression-free survival (PFS). Through multivariate analysis, peritoneal metastasis occurrence was the only identified independent indicator of poor PFS (HR 2.768, 95% CI 1.184-6.472, p = 0.019). Additionally, multi-factor combination results showed that patients with at least one of the following: mismatch repair-deficient (D-MMR)/microsatellite instability-high (MSI-H), HER2 (+), EBV (+), and/or PD-L1 CPS greater than or equal to 5, exhibited higher response rates and longer PFS as compared to those lacking these factors; this benefit was consistent after excluding PD-L1 expression. Among the clinical combinatorial factors, significantly poor ORRs and lower PFS were observed in patients with age < 60, diffuse type, and peritoneal metastasis as compared to those without any of these factors. Conclusions: Peritoneal metastasis was an independent biomarker of poor efficacy to immunotherapy combined with chemotherapy in G/GEJ cancer patients in first-line setting. Some combination factors could be beneficial for efficacy prediction. Citation Format: Yu-Ting Sun, Shi-Xun Lu, Ming-Yu Lai, Xia Yang, Wen-Long Guan, Li-Qiong Yang, Yu-Hong Li, Feng-Hua Wang, Rui-Hua Xu, Miao-Zhen Qiu. Predictive biomarkers for the efficacy of PD-1 inhibitors plus chemotherapy for gastric/gastroesophageal junction cancer in first-line setting [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5092.

Climate change has stimulated great interest in developing clean and renewable energy conversion and storage solutions. Emerging technologies for solutions, like unitized regenerative fuel cells, metal-air batteries, and water electrolyzers, depend on the reliable catalyst materials suited for long-term application in alkaline environments[1]. In particular, the demanding reaction in these systems is the oxygen evolution reaction involving complex multielectron/proton transfer processes and thus sluggish kinetic.[2] At present, the state-of-the-art OER catalysts are IrO2 and RuO2. However, the high cost and scarcity of these materials severely prevent the wide-scale application of these systems.[3] Perovskite oxide (e.g., single perovskite expressed as ABO3) electrocatalysts are particularly considered next-generation OER catalysts due to their adjustable physicochemical properties and, as a consequence, their catalytic properties by substitution of ions in the A and B sites.[4] Via doping both at A and B site, double perovskite oxides structure can form (AA′B2O5+δ), which were shown to have stable structure during the OER due to proper O p-band center position relative to the Fermi level. The previous research shows that hexagonal perovskites exhibit enhanced catalytic activity rather than cubic or tetragonal perovskites, which is associated with the face-sharing octahedral unit. [5,6] In this work, we systematically investigate doping of parent La2CoMnO6 with Ba to tune the crystal structure and electronic structure. A series of the double perovskites with the chemical formula of La2-xBaxCoMnO6 (x = 0, 0.5, 1.5, 2) were fabricated via the modified Sol-Gel Pechini method. According to Goldschmidt tolerance factor, it is expected that when Ba amount increases in the A site, the crystal structure changes from cubic to hexagonal, which can contribute to electrocatalytic OER activity based above discussions. Furthermore, it is anticipated that increasing Ba content at the A site should result in higher valence state of transition metals due to stabilizing charge balance of the structure. It is widely reported that presence of higher valence state of transition metals is beneficial for OER. The crystal structure was confirmed by combining powder X-ray diffraction (XRD) patterns and selected area electron diffraction (SAED) patterns. The two-layer hexagonal structure of Ba2CoMnO6 (BCM) was further characterized by high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM). The results show doping of Ba into parent La2CoMnO6 resulted in the hexagonal phase formation and BCM achieves a current density of 10 mA cm–2 at a low overpotential of 288 mV and has the highest intrinsic activity in the series of BaxLa2-xCoMnO6 (x = 0, 0.5, 1, 1.5, 2). Furthermore, BCM exhibits outstanding stability of 12 h in a 0.1 M KOH electrolyte. The electronic structure and surface work function values of the catalysts were examined with X-ray photoelectron spectroscopy (XPS). XPS analysis revealed that valence state of Co and Mn increases through Ba amount in the structure, indicating the double perovskite oxide charge balance is maintained. In addition to valence state analysis, we performed work function analysis of the catalysts tested in this work. The result shows work function of the series of BaxLa2-xCoMnO6 (x = 0, 0.5, 1, 1.5, 2) substantially decreases with Ba content. Here, we show that the high intrinsic activity of BCM is not only related with the hexagonal structure and also may be related with exhibiting lower work function value in the series. In addition, our approach presents a new strategy, air quenching method, to synthesize a phase pure 2H-hexagonal double perovskite oxide. [1] Y. Zhou, X. Guan, H. Zhou, K. Ramadoss, S. Adam, H. Liu, S. Lee, H. Shi, M. Tsuchiya, D. Fong and S. Ramanathan, Nature, 534, 231-234 (2016). [2] X. Cui, P. Ren, D. Deng, J. Deng and X. Bao, Energy & Environmental Science, 9, 123-129 (2016). [3] X. Qiu, Y. Zhang, Y. Zhu, C. Long, L. Su, S. Liu and Z. Tang, Advanced Materials, 33, 2001731 (2020). [4] W. Yin, B. Weng, J. Ge, Q. Sun, Z. Li and Y. Yan, Energy & Environmental Science, 12, 442-462 (2019). [5] L. Tang, W. Zhang, D. Lin, Y. Ren, H. Zheng, Q. Luo, L. Wei, H. Liu, J. Chen and K. Tang, Inorganic Chemistry Frontiers, 7, 4488-4497 (2020). [6] C. Chen, G. King, R. M. Dickerson, P. A. Papin, S. Gupta, W. R. Kellogg and G. Wu, Nano Energy, 13, 423-432 (2015).

The multiple factors that define and relate service quality and customer or consumer satisfaction have served as the basis for the development of several multidimensional models that have allowed the study of this important issue. The level of research that will be used in this work is the explanatory levelbecause it is intended to evaluate the role of innovation in the design of the service quality improvement plan and its impact on customer satisfaction. As a case study, the M7D model was applied to two national banks. Among other results, national banks obtained 83.5% compliance with the M7D model, the dimensions with the best performance are customer satisfaction, organization, processes and social responsibility. While, medium-sized banks have a compliance level of 62.7% with the M7D model, the dimensions with the best performance are customer satisfaction, Social responsibility and leadership. It is concluded that banks must innovate at the level of preparation and training of human resources and adequacy. Keywords: quality of service, customer satisfaction, models, innovation References [1]Silva-Treviño J. C., Macías-Hernández B. A., Tello-Leal E., Jesús Gerardo Delgado-Rivas (2021) Ciencia UAT. 15(2): 85-101. [2]Mora Contreras C. E.(2011) REMark - Revista Brasileira de Marketing, São Paulo, v. 10, n. 2, p 146-162, mai./ago. 2011. [3]Bustamante, J. C. (2015). Uso de variables mediadoras y moderadoras en la explicación de la lealtad del consumidor en ambientes de servicios. Estudios Gerenciales. 31(136): 299-309. [4]Lai, C. and Nguyen, M. (2017). Factors affecting service quality, customer satisfaction and loyalty of mobile phone servi-ce providers in Vietnam. International Journal of Organizatio-nal Innovation. 10(2): 75-85. [5]Ahrholdt, D. C., Gudergan, S. P., and Ringle, C. M. (2017). Enhancing service loyalty: The roles of delight, satisfaction, and service quality. Journal of Travel Research. 56(4): 436-450. [6]Blut, M., Frennea, C. M., Mittal, V., and Mothersbaugh, D. L. (2015). How procedural, financial and relational switching costs affect customer satisfaction,repurchase intentions, and repurchase behavior: A meta-analysis. International Journal of Re- search in Marketing. 32(2): 226-229. [7]Kasiri, L. A., Guan-Cheng, K. T., Sambasivan, M., and Sidin, S. M. (2017). Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty. Journal of Retailing and Consumer Services. 35: 91-97. [8]Bilderbeek, R y otros. Services en Innovation: Knowledge Intensive Business Services (KIBS) as Co-producers of Innovation. En SI14S Project. SI14SSynthesis Papers nro. 3. STEP Group, 1998. [9]Parasuraman, V; Zeithaml, A; Berry, L. SERVQUAL: A Multiple Item Scale for Measuring Costumer Perceptions of Service Quality. Journal of Retailing.Vol 64, Nro 1. Spring. pp. 12-40, 1998. [10]Puente, Raquel. Del mercadeo de servicios a la gerencia de servicios. Revista Debates IESA. Vol. X. Nro. 3. Caracas. pp. 13-16, 2005. [11]Santarelli, E; Piergiovanni, R. Analyzing literature based innovation output indicators: the Italian experience. Research Policy. Vol 25. pp. 689-711, 1996. [12] ACSI, American Customer Satisfaction Index (2018). Customer satisfaction reports. American Customer Satisfaction In-dex. [Online]. Available:https://www.theacsi.org/news-and -resources/customer-satisfaction-reports/reports-2018. [13]Azman, I. and Yusrizal, S. (2016). Service quality as a predictor of satisfaction and customer loyalty. Scientific Journal of Logistics. 12(4): 269-283. [14]Aznar, J. P., Bagur, L., and Rocafort, A. (2016). Impact of service quality on competitiveness and profitability: The hotel industry in the Catalan coast. Intangible Capital. 12(1): 147-166. [15]Cronin, J., Morris, M. H., and Taylor, S. (1994). Servperf vs. Servqual: reconciling performance based and perceptions minus expectations measurement of service quality. Journal of Marketing. 58(1): 125-131. [16]El-Adly, M. I. (2019). Modelling the relationship between hotel perceived value, customer satisfaction, and customer loyalty. Journal of Retailing and Consumer Services. 50: 322-332. [17]Guesalaga, R. and Pitta, D. (2014). The importance and formalization of service quality dimensions: a comparison of Chile and the USA. Journal of Consumer Marketing. 31(2): 145-151. [18]Kumar, V. and Hundal, B. S. (2019). Evaluating the service quality of solar product companies using SERVQUAL model. In- ternational Journal of Energy Sector Management. 13(3): 670-693. [19]Shi, Y., Prentice, C., and He, W. (2014). Linking service quality, customer satisfaction and loyalty in casinos, does membership matter. International Journal of Hospitality Management. 40: 81-91. [20]Tomaz-de-Aquino, J., Valença-de-Souza, J., Lima da Silva, V., Jerônimo, T., and Melo, F. (2018). Factors that influence the quality of services providedby the bus rapid transit system. Ben-chmarking: An International Journal. 25(9): 4035-4057. [21]López, L. I. y Díaz, J. D. (2012). Propuesta metodológica para la gestión del cliente. Mercados y Negocios. 25(13): 5-20. [22]Michna, A. (2018). The mediating role of firm innovativeness in the relationship between knowledge sharing and custo- mer satisfaction in SMEs. Engineering Economics 29(1): 93-103. [23]Jain, P. and Aggarwal, V. S. (2017). The effect of perceived service quality on customer satisfaction and customer loyalty in organized retail chains. Amity Business Review. 18(2): 77-89. [24]Palese, B. and Usai, A. (2018). The relative importance of service quality dimensions in E-commerce experiences. Inter- national Journal of Information Management. 40: 132-140. [25]Zhang, S. and Hou, Y. (2013). A SERVQUAL model for assess- ment of service quality in supply chain. Information Technology Journal. 12(15): 3472-3475. [26]Duque, E. (2005). Revisión del concepto de calidad del servicio y sus modelos de medición. Revista Innovar, 25(ene-jun), 64-80. [27]Falk, T., Hammerschimdt, M., & Schepers, J. (2010). The service quality-satisfaction link revisted: asymmetries and dynamics. Journal of the Academy ofMarketing Science, 38(3), 288-302. [28]Arzola, Minerva; Mejías, Agustín Modelo conceptual para gestionar la innovación en las empresas del sector servicios Revista Venezolana de Gerencia, vol. 12, núm. 37, enero-marzo, 2007, pp. 80-98. [29]González, A., & Brea, F. (2006). Relación entre la calidad del servicio y la satisfacción del consumidor: Su evaluación en el ámbito del turismo termal.Investigaciones Europeas de Dirección y Economía de la Empresa, 12(1): 251-272. [30]Olorunniwo, F.; Hsu, M.K., and Udo, G.J. (2006). Service Quality, customer satisfaction, and behavioral intentions in the service factory. Journal ofServices Marketing, 20(1), 59-72. [31]Morales S. V., and Hernández, A. (2004). Calidad y Satisfacción en los servicios: Conceptualización. Efedeportes Revista Digital, 10(73). [32]Olorunniwo, F.; Hsu, M.K., and Udo, G.J. (2006). Service Quality, customer satisfaction, and behavioral intentions in the service factory. Journal of Services Marketing, 20(1), 59-72. [33]Parasuraman, A.; Zeithalm, V., and Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality.Journal of Retailing, 64(1), 12-40. [34]Guadarrama Tavira, E.; Rosales Estrada, E. M. (2015) Marketing relacional: valor, satisfacción, lealtad y retención del cliente. análisis y reflexión teórica Ciencia y Sociedad, vol. 40, núm. 2. 307-340. [35]Bilderbeek, R y otros. Services en Innovation: Knowledge Intensive Business Services (KIBS) as Co-producers of Innovation. En SI14S Project. SI14SSynthesis Papers nro. 3. STEP Group, 1998. [36]Arzola M. (2007) ¿cómo medir la innovación en el sector servicios?: evidencia empírica en el sector financiero, Venezuela, UCT, 11, 45. 115-122.

The pandemic of COVID-19 has afflicted every individual and has initiated a cascade of directly or indirectly involved events in precipitating mental health issues. The human species is a wanderer and hunter-gatherer by nature, and physical social distancing and nationwide lockdown have confined an individual to physical isolation. The present review article was conceived to address psychosocial and other issues and their aetiology related to the current pandemic of COVID-19. The elderly age group has most suffered the wrath of SARS-CoV-2, and social isolation as a preventive measure may further induce mental health issues. Animal model studies have demonstrated an inappropriate interacting endogenous neurotransmitter milieu of dopamine, serotonin, glutamate, and opioids, induced by social isolation that could probably lead to observable phenomena of deviant psychosocial behavior. Conflicting and manipulated information related to COVID-19 on social media has also been recognized as a global threat. Psychological stress during the current pandemic in frontline health care workers, migrant workers, children, and adolescents is also a serious concern. Mental health issues in the current situation could also be induced by being quarantined, uncertainty in business, jobs, economy, hampered academic activities, increased screen time on social media, and domestic violence incidences. The gravity of mental health issues associated with the pandemic of COVID-19 should be identified at the earliest. Mental health organization dedicated to current and future pandemics should be established along with Government policies addressing psychological issues to prevent and treat mental health issues need to be developed. References World Health Organization (WHO) Coronavirus Disease (COVID-19) Dashboard. Available at: https://covid19.who.int/ [Accessed on 23 August 2020] Sim K, Chua HC. The psychological impact of SARS: a matter of heart and mind. CMAJ. 2004; 170:811e2. https://doi.org/10.1503/cmaj.1032003. Wu P, Fang Y, Guan Z, Fan B, Kong J, Yao Z, et al. The psychological impact of the SARS epidemic on hospital employees in China: exposure, risk perception, and altruistic acceptance of risk. Can J Psychiatr. 2009; 54:302e11. https://doi.org/10.1177/070674370905400504. Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. 2020; 395:912e20. https://doi.org/10.1016/S0140-6736(20)30460-8. Robertson E, Hershenfield K, Grace SL, Stewart DE. The psychosocial effects of being quarantined following exposure to SARS: a qualitative study of Toronto health care workers. Can J Psychiatr. 2004; 49:403e7. https://doi.org/10.1177/070674370404900612. Barbisch D, Koenig KL, Shih FY. Is there a case for quarantine? Perspectives from SARS to Ebola. Disaster Med Public Health Prep. 2015; 9:547e53. https://doi.org/10.1017/dmp.2015.38. Jeong H, Yim HW, Song YJ, Ki M, Min JA, Cho J, et al. Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiol Health. 2016;38: e2016048. https://doi.org/10.4178/epih.e2016048. Liu X, Kakade M, Fuller CJ, Fan B, Fang Y, Kong J, et al. Depression after exposure to stressful events: lessons learned from the severe acute respiratory syndrome epidemic. Compr Psychiatr. 2012; 53:15e23. https://doi.org/10.1016/j.comppsych.2011.02.003 Chadda RK, Deb KS. Indian family systems, collectivistic society and psychotherapy. Indian J Psychiatry. 2013;55: S299‑ https://dx.doi.org/10.4103%2F0019-5545.105555. Grover S, Sahoo S, Mehra A, Avasthi A, Tripathi A, Subramanyan A, et al. Psychological impact of COVID‑19 lockdown: An online survey from India. Indian J Psychiatry. 2020; 62:354-62. https://doi.org/ 10.4103/psychiatry.IndianJPsychiatry _427_20. Hawkley LC, Cacioppo JT. Loneliness matters: a theoretical and empirical review of consequences and mechanisms. Ann Behav Med. 2010; 40: 218–27. https://dx.doi.org/10.1007%2Fs12160-010-9210-8. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-13. https://doi.org/10.1016/S0140-6736(20)30211-7. Bhandari S, Sharma R, Singh Shaktawat A, Banerjee S, Patel B, Tak A, et al. COVID-19 related mortality profile at a tertiary care centre: a descriptive study. Scr Med. 2020;51(2):69-73. https://doi.org/10.5937/scriptamed51-27126. Baumeister RF, Leary MR. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol Bull. 1995; 117: 497–529. https://doi.org/10.1037/0033-2909.117.3.497. Caspi A, Harrington H, Moffitt TE, Milne BJ, Poulton R. Socially isolated children 20 years later: risk of cardiovascular disease. Arch Pediatr Adolesc Med. 2006; 160(8):805-11. https://doi.org/10.1001/archpedi.160.8.805. Eaker ED, Pinsky J, Castelli WP. Myocardial infarction and coronary death among women: psychosocial predictors from a 20-year follow-up of women in the Framingham Study. Am J Epidemiol. 1992; 135(8):854-64. https://doi.org/10.1093/oxfordjournals.aje.a116381. Luo Y, Hawkley LC, Waite LJ, Cacioppo JT. Loneliness, health, and mortality in old age: a national longitudinal study. Soc Sci Med. 2012 Mar; 74(6):907-14. https://dx.doi.org/10.1016%2Fj.socscimed.2011.11.028. Olsen RB, Olsen J, Gunner-Svensson F, Waldstrøm B. Social networks and longevity. A 14-year follow-up study among elderly in Denmark. Soc Sci Med. 1991; 33(10):1189-95. https://doi.org/10.1016/0277-9536(91)90235-5. Patterson AC, Veenstra G. Loneliness and risk of mortality: a longitudinal investigation in Alameda County, California. Soc Sci Med. 2010; 71(1):181-6. https://doi.org/10.1016/j.socscimed.2010.03.024. Savikko N, Routassalo P, Tilvis RS, Strandberg TE, Pitkalla KH. Predictors and subjective causes of loneliness in an aged population. Arch Gerontol Geriatrics. 2005; 41:3;223-33. https://doi.org/10.1016/j.archger.2005.03.002. Health Advisory for Elderly Population of India during COVID19. Available at: https://www.mohfw.gov.in/pdf/AdvisoryforElderlyPopulation.pdf [Accessed on 13 August 2020]. Dicks D, Myers R, Kling A. Uncus and amygdala lesions: effects on social behavior in the free-ranging rhesus monkey. Science. 1969; 165:69–71. https://doi.org/10.1126/science.165.3888.69. Kanai R, Bahrami B, Duchaine B, Janik A, Banissy MJ, Rees G. Brain structure links loneliness to social perception. Curr Biol. 2012; 22(20):1975-9. https://dx.doi.org/10.1016%2Fj.cub.2012.08.045. Bender AR, Daugherty A, Raz N. Vascular risk moderates associations between hippocampal subfield volumes and memory. J Cogn Neurosci. 2013; 25:1851–62. https://doi.org/10.1162/jocn_a_00435. Raz N. Diabetes: brain, mind, insulin–what is normal and do we need to know? Nat Rev Endocrinol. 2011; 7:636–7. https://doi.org/10.1038/nrendo.2011.149. Colcombe SJ, Erickson KI, Naftali R, Andrew GW, Cohen NJ, McAuley E, et al. Aerobic fitness reduces brain tissue loss in aging humans. J Gerontol A Biol Sci Med Sci. 2003; 58:176–80. https://doi.org/10.1093/gerona/58.2.m176. Maass A, Düzel S, Goerke M, Becke A, Sobieray U, Neumann K, et al. Vascular hippocampal plasticity after aerobic exercise in older adults. Mol Psychiatry. 2015; 20, 585–93. https://doi.org/10.1038/mp.2014.114. Wilson RS, Krueger KR, Arnold SE, Schneider JA, Kelly JF, Barnes LL, et al. Loneliness and Risk of Alzheimer Disease. Arch Gen Psychiatry. 2007;64(2):234–240. https://doi.org/10.1001/archpsyc.64.2.234. Kogan JH, Frankland PW, Silva AJ. Long-term memory underlying hippocampus-dependent social recognition in mice. Hippocampus. 2000;10(1):47-56. https://doi.org/10.1002/(sici)1098-1063(2000)10:1%3C47::aid-hipo5%3E3.0.co;2-6. Yorgason JT, España RA, Konstantopoulos JK, Weiner JL, Jones SR. Enduring increases in anxiety-like behavior and rapid nucleus accumbens dopamine signaling in socially isolated rats. Eur J Neurosci. 2013;37(6):1022-31. https://doi.org/10.1111/ejn.12113. Bledsoe AC, Oliver KM, Scholl JL, Forster GL. Anxiety states induced by post-weaning social isolation are mediated by CRF receptors in the dorsal raphe nucleus. Brain Res Bull. 2011;85(3-4):117-22. https://dx.doi.org/10.1016%2Fj.brainresbull.2011.03.003. Lukkes JL, Engelman GH, Zelin NS, Hale MW, Lowry CA. Post-weaning social isolation of female rats, anxiety-related behavior, and serotonergic systems. Brain Res. 2012; 1443:1-17. https://dx.doi.org/10.1016%2Fj.brainres.2012.01.005. Ago Y, Araki R, Tanaka T, Sasaga A, Nishiyama S, Takuma K, et al. Role of social encounter-induced activation of prefrontal serotonergic systems in the abnormal behaviors of isolation-reared mice. Neuropsychopharmacology. 2013; 38(8):1535-47. https://doi.org/10.1038/npp.2013.52. Veenema AH. Early life stress, the development of aggression and neuroendocrine and neurobiological correlates: what can we learn from animal models? Front Neuroendocrinol. 2009;30(4):497-518. https://doi.org/10.1016/j.yfrne.2009.03.003. Zhao X, Sun L, Jia H, Meng Q, Wu S, Li N, et al. Isolation rearing induces social and emotional function abnormalities and alters glutamate and neurodevelopment-related gene expression in rats. Prog Neuropsychopharmacol Biol Psychiatry. 2009;33(7):1173-1177. https://doi.org/10.1016/j.pnpbp.2009.06.016. Sciolino NR, Bortolato M, Eisenstein SA, Fu J, Oveisi F, Hohmann AG, et al. Social isolation and chronic handling alter endocannabinoid signaling and behavioral reactivity to context in adult rats. Neuroscience. 2010;168(2):371-86. https://dx.doi.org/10.1016%2Fj.neuroscience.2010.04.007. Ghasemi M, Phillips C, Trillo L, De Miguel Z, Das D, Salehi A. The role of NMDA receptors in the pathophysiology and treatment of mood disorders. Neurosci Biobehav Rev. 2014; 47:336-358. https://doi.org/10.1016/j.neubiorev.2014.08.017. Olivenza R, Moro MA, Lizasoain I, Lorenzo P, Fernández AP, Rodrigo J, et al. Chronic stress induces the expression of inducible nitric oxide synthase in rat brain cortex. J Neurochem. 2000;74(2):785-791. https://doi.org/10.1046/j.1471-4159.2000.740785.x. Maeng S, Zarate CA Jr, Du J, Schloesser RJ, McCammon J, Chen G, et al. Cellular mechanisms underlying the antidepressant effects of ketamine: role of alpha-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors. Biol Psychiatry. 2008;63(4):349-352. https://doi.org/10.1016/j.biopsych.2007.05.028. Kalia LV, Kalia SK, Salter MW. NMDA receptors in clinical neurology: excitatory times ahead. Lancet Neurol. 2008;7(8):742-755. https://dx.doi.org/10.1016%2FS1474-4422(08)70165-0. Waxman EA, Lynch DR. N-methyl-D-aspartate Receptor Subtypes: Multiple Roles in Excitotoxicity and Neurological Disease. The Neuroscientist. 2005; 11(1), 37–49. https://doi.org/10.1177/1073858404269012. Hermes G, Li N, Duman C, Duman R. Post-weaning chronic social isolation produces profound behavioral dysregulation with decreases in prefrontal cortex synaptic-associated protein expression in female rats. Physiol Behav. 2011;104(2):354-9. https://dx.doi.org/10.1016%2Fj.physbeh.2010.12.019. Sestito RS, Trindade LB, de Souza RG, Kerbauy LN, Iyomasa MM, Rosa ML. Effect of isolation rearing on the expression of AMPA glutamate receptors in the hippocampal formation. J Psychopharmacol. 2011;25(12):1720-1729. https://doi.org/10.1177/0269881110385595. Toua C, Brand L, Möller M, Emsley RA, Harvey BH. The effects of sub-chronic clozapine and haloperidol administration on isolation rearing induced changes in frontal cortical N-methyl-D-aspartate and D1 receptor binding in rats. Neuroscience. 2010;165(2):492-499. https://doi.org/10.1016/j.neuroscience.2009.10.039. Alò R, Avolio E, Mele M, Storino F, Canonaco A, Carelli A et al. Excitatory/inhibitory equilibrium of the central amygdala nucleus gates anti-depressive and anxiolytic states in the hamster. Pharmacol Biochem Behav. 2014; 118:79-86. https://doi.org/10.1016/j.pbb.2014.01.007. St JP, Petkov VV. Changes in 5-HT1 receptors in different brain structures of rats with isolation syndrome. General pharmacology. 1990;21(2):223-5. https://doi.org/10.1016/0306-3623(90)90905-2. Miachon S, Rochet T, Mathian B, Barbagli B, Claustrat B. Long-term isolation of Wistar rats alters brain monoamine turnover, blood corticosterone, and ACTH. Brain Res Bull. 1993;32(6):611-614. https://doi.org/10.1016/0361-9230(93)90162-5. Van den Berg CL, Van Ree JM, Spruijt BM, Kitchen I. Effects of juvenile isolation and morphine treatment on social interactions and opioid receptors in adult rats: behavioural and autoradiographic studies. Eur J Neurosci. 1999;11(9):3023-3032. https://doi.org/10.1046/j.1460-9568.1999.00717.x. Vanderschuren LJ, Stein EA, Wiegant VM, Van Ree JM. Social play alters regional brain opioid receptor binding in juvenile rats. Brain Res. 1995;680(1-2):148-156. https://doi.org/10.1016/0006-8993(95)00256-p. Moles A, Kieffer BL, D'Amato FR. Deficit in attachment behavior in mice lacking the mu-opioid receptor gene. Science. 2004;304(5679):1983-1986. https://doi.org/10.1126/science.1095943. Panksepp J, Herman BH, Vilberg T, Bishop P, DeEskinazi FG. Endogenous opioids and social behavior. Neurosci Biobehav Rev. 1980;4(4):473-487. https://doi.org/10.1016/0149-7634(80)90036-6. Gong JP, Onaivi ES, Ishiguro H, Liu Q, Tagliaferro PA, Brusco A, et al. Cannabinoid CB2 receptors: immunohistochemical localization in rat brain. Brain Res. 2006;1071(1):10-23. https://doi.org/10.1016/j.brainres.2005.11.035. Breivogel CS, Sim-Selley LJ. Basic neuroanatomy and neuropharmacology of cannabinoids. Int Rev Psychiatry 2009; 21:2:113-121. https://doi.org/10.1080/09540260902782760. Haj-Mirzaian A, Amini-Khoei H, Haj-Mirzaian A, Amiri S, Ghesmati M, Zahir M, et al. Activation of cannabinoid receptors elicits antidepressant-like effects in a mouse model of social isolation stress. Brain Res Bull. 2017; 130:200-210. https://doi.org/10.1016/j.brainresbull.2017.01.018. Banach M, Piskorska B, Czuczwar SJ, Borowicz KK. Nitric Oxide, Epileptic Seizures, and Action of Antiepileptic Drugs. CNS & Neurological Disorders - Drug Targets 2011;10: 808. https://doi.org/10.2174/187152711798072347. Förstermann U, Sessa WC. Nitric oxide synthases: regulation and function. Eur Heart J. 2012;33(7):829-37, 837a-837d. https://dx.doi.org/10.1093%2Feurheartj%2Fehr304. Hu Y, Wu D, Luo C, Zhu L, Zhang J, Wu H, et al. Hippocampal nitric oxide contributes to sex difference in affective behaviors. PNAS. 2012, 109 (35) 14224-14229. https://doi.org/10.1073/pnas.1207461109. Khan MI, Ostadhadi S, Zolfaghari S, Mehr SE, Hassanzadeh G, Dehpour, A et al. The involvement of NMDA receptor/NO/cGMP pathway in the antidepressant like effects of baclofen in mouse force swimming test. Neuroscience Letters. 2016; 612:52-61. https://doi.org/10.1016/j.neulet.2015.12.006. Matsumoto K, Puia G, Dong E, Pinna G. GABAA receptor neurotransmission dysfunction in a mouse model of social isolation-induced stress: Possible insights into a non-serotonergic mechanism of action of SSRIs in mood and anxiety disorders. Stress. 2007; 10:1:3-12. https://doi.org/10.1080/10253890701200997. Zlatković J, Filipović D. Chronic social isolation induces NF-κB activation and upregulation of iNOS protein expression in rat prefrontal cortex. Neurochem Int. 2013;63(3):172-179. https://doi.org/10.1016/j.neuint.2013.06.002. Haj-Mirzaian A, Amiri S, Kordjazy N, Momeny M, Razmi A, Balaei MR, et al. Lithium attenuated the depressant and anxiogenic effect of juvenile social stress through mitigating the negative impact of interlukin-1β and nitric oxide on hypothalamic-pituitary-adrenal axis function. Neuroscience. 2016; 315:271-285. https://doi.org/10.1016/j.neuroscience.2015.12.024. Larson HJ. The biggest pandemic risk? Viral misinformation. Nature 2018; 562:309. https://doi.org/10.1038/d41586-018-07034-4. Zarocostas J. How to fight an infodemic. Lancet 2020; 395:676. https://doi.org/10.1016/S0140-6736(20)30461-X. World Health Organization, 2019. Ebola Virus Disease – Democratic Republic of the Congo. Geneva, Switzerland: WHO. Available at: https://www.who.int/csr/don/28-november-2019-ebola-drc/en/ [Accessed on August 8, 2020] Times of India. Covid-19: doctors gone to collect samples attacked in Indore. Available at: https://timesofindia.indiatimes.com/videos/news/covid-19-doctors-goneto- collect-samples-attacked-in-indore/videoshow/74942153.cms; 2020 [Accessed on August 8, 2020]. Withnall A. Coronavirus: why India has had to pass new law against attacks on healthcare workers. The Independent. April 23, 2020. Semple K. “Afraid to be a nurse”: health workers under attack. The New York Times. 2020 Apr 27. The Economist. Health workers become unexpected targets during COVID-19. The Economist. May 11, 2020. Turan B, Budhwani H, Fazeli PL, Browning WR, Raper JL, Mugavero MJ, et al. How does stigma affect people living with HIV? The mediating roles of internalized and anticipated HIV stigma in the effects of perceived community stigma on health and psychosocial outcomes. AIDS Behav. 2017; 21: 283–291. https://doi.org/10.1007/s10461-016-1451-5. James PB, Wardle J, Steel A, Adams J. An assessment of Ebola-related stigma and its association with informal healthcare utilisation among Ebola survivors in Sierra Leone: a cross sectional study. BMC Public Health. 2020; 20: 182. https://doi.org/10.1186/s12889-020-8279-7. Aljazeera, 2020. Iran: Over 700 Dead after Drinking Alcohol to Cure Coronavirus. Aljazeera. Available at: https://www.aljazeera.com/ news/2020/04/iran-700-dead-drinking-alcohol-cure-coronavirus200427163529629.html. (Accessed June 4, 2020) Delirrad M, Mohammadi AB, 2020. New methanol poisoning outbreaks in Iran following COVID-19 pandemic. Alcohol Alcohol. 55: 347–348. https://doi.org/10.1093/alcalc/agaa036. Hassanian-Moghaddam H, Zamani N, Kolahi A-A, McDonald R, Hovda KE. Double trouble: methanol outbreak in the wake of the COVID-19 pandemic in Iran-a cross-sectional assessment. Crit Care. 2020; 24: 402. https://doi.org/10.1186/s13054-020-03140-w. Soltaninejad K. Methanol Mass Poisoning Outbreak: A Consequence of COVID-19 Pandemic and Misleading Messages on Social Media. Int J Occup Environ Med. 2020;11(3):148-150. https://dx.doi.org/10.34172%2Fijoem.2020.1983. Islam MS, Sarkar T, Khan SH, Kamal AM, Hasan SMM, Kabir A, et al. COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis. Am J Trop Med Hyg. 2020; 00(0):1–9. https://doi.org/10.4269/ajtmh.20-0812. Hawryluck L, Gold W, Robinson S, Pogorski S, Galea S, Styra R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg Infect Dis. 2004;10(7):1206–1212. https://dx.doi.org/10.3201%2Feid1007.030703. Lee S, Chan LYY, Chau AAM, Kwok KPS, Kleinman A. The experience of SARS-related stigma at Amoy Gardens. Soc Sci Med. 2005; 61(9): 2038-2046. https://doi.org/10.1016/j.socscimed.2005.04.010. Yoon MK Kim SY Ko HS Lee MS. System effectiveness of detection, brief intervention and refer to treatment for the people with post-traumatic emotional distress by MERS: a case report of community-based proactive intervention in South Korea. Int J Ment Health Syst. 2016; 10: 51. https://doi.org/10.1186/s13033-016-0083-5. Reynolds DL, Garay JR, Deamond SL, Moran MK, Gold W, Styra R. Understanding, compliance and psychological impact of the SARS quarantine experience. Epidemiol Infect. 2008; 136: 997-1007. https://dx.doi.org/10.1017%2FS0950268807009156. Marjanovic Z, Greenglass ER, Coffey S. The relevance of psychosocial variables and working conditions in predicting nurses' coping strategies during the SARS crisis: an online questionnaire survey. Int J Nurs Stud. 2007; 44(6): 991-998. https://doi.org/10.1016/j.ijnurstu.2006.02.012. Bai Y, Lin C-C, Lin C-Y, Chen J-Y, Chue C-M, Chou P. Survey of stress reactions among health care workers involved with the SARS outbreak. Psychiatr Serv. 2004; 55: 1055-1057. https://doi.org/10.1176/appi.ps.55.9.1055. Ministry of Health and Family Welfare. Available at: https://www.mohfw.gov.in/pdf/Guidelinesforhomequarantine.pdf [Accessed on 25 August 2020]. Ministry of Health and Family Welfare. Available at: https://www.mohfw.gov.in/pdf/RevisedguidelinesforHomeIsolationofverymildpresymptomaticCOVID19cases10May2020.pdf [Accessed on 25 August 2020]. Ministry of Health and Family Welfare. Available at: https://www.mohfw.gov.in/pdf/AdvisoryformanagingHealthcareworkersworkinginCOVIDandNonCOVIDareasofthehospital.pdf (Accessed on 25 August 2020). Ministry of Health and Family Welfare. Available at: https://www.mohfw.gov.in/pdf/RevisedguidelinesforInternationalArrivals02082020.pdf [Accessed on 25 August 2020]. Cost of the lockdown? Over 10% of GDP loss for 18 states. Available at: https://timesofindia.indiatimes.com/india/cost-of-the-lockdown-over-10-of-gdp-loss-for-18-states/articleshow/76028826.cms [Accessed on 21 August 2020]. Jorda O, Singh SR, Taylor AM. Longer-Run Economic Consequences of Pandemics. Federal Reserve Bank of San Francisco Working Paper. 2020-09. https://doi.org/10.24148/wp2020-09. Firdaus G. Mental well‑being of migrants in urban center of India: Analyzing the role of social environment. Indian J Psychiatry. 2017; 59:164‑ https://doi.org/10.4103/psychiatry.indianjpsychiatry_272_15. National Crime Record Bureau. Annual Crime in India Report. New Delhi, India: Ministry of Home Affairs; 2018. 198 migrant workers killed in road accidents during lockdown: Report. Available at: https://www.hindustantimes.com/india-news/198-migrant-workers-killed-in-road-accidents-during-lockdown-report/story-hTWzAWMYn0kyycKw1dyKqL.html [Accessed on 25 August 2020]. Qiu H, Wu J, Hong L, Luo Y, Song Q, Chen D. Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study. Lancet Infect Dis. 2020; 20:689-96. https://doi.org/10.1016/S1473-3099(20)30198-5. Dalton L, Rapa E, Stein A. Protecting the psychological health of through effective communication about COVID-19. Lancet Child Adolesc Health. 2020;4(5):346-347. https://doi.org/10.1016/S2352-4642(20)30097-3. Centre for Disease Control. Helping Children Cope with Emergencies. Available at: https://www.cdc.gov/childrenindisasters/helping-children-cope.html [Accessed on 25 August 2020]. Liu JJ, Bao Y, Huang X, Shi J, Lu L. Mental health considerations for children quarantined because of COVID-19. Lancet Child & Adolesc Health. 2020; 4(5):347-349. https://doi.org/10.1016/S2352-4642(20)30096-1. Sprang G, Silman M. Posttraumatic Stress Disorder in Parents and Youth After Health-Related Disasters. Disaster Med Public Health Prep. 2013;7(1):105-110. https://doi.org/10.1017/dmp.2013.22. Rehman U, Shahnawaz MG, Khan NH, Kharshiing KD, Khursheed M, Gupta K, et al. Depression, Anxiety and Stress Among Indians in Times of Covid-19 Lockdown. Community Ment Health J. 2020:1-7. https://doi.org/10.1007/s10597-020-00664-x. Cao W, Fang Z, Hou, Han M, Xu X, Dong J, et al. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research. 2020; 287:112934. https://doi.org/10.1016/j.psychres.2020.112934. Wang C, Zhao H. The Impact of COVID-19 on Anxiety in Chinese University Students. Front Psychol. 2020; 11:1168. https://dx.doi.org/10.3389%2Ffpsyg.2020.01168. Kang L, Li Y, Hu S, Chen M, Yang C, Yang BX, et al. The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. Lancet Psychiatry 2020;7(3): e14. https://doi.org/10.1016/s2215-0366(20)30047-x. Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw Open 2020;3(3): e203976. https://doi.org/10.1001/jamanetworkopen.2020.3976. Lancee WJ, Maunder RG, Goldbloom DS, Coauthors for the Impact of SARS Study. Prevalence of psychiatric disorders among Toronto hospital workers one to two years after the SARS outbreak. Psychiatr Serv. 2008;59(1):91-95. https://dx.doi.org/10.1176%2Fps.2008.59.1.91. Tam CWC, Pang EPF, Lam LCW, Chiu HFK. Severe acute respiratory syndrome (SARS) in Hongkong in 2003: Stress and psychological impact among frontline healthcare workers. Psychol Med. 2004;34 (7):1197-1204. https://doi.org/10.1017/s0033291704002247. Lee SM, Kang WS, Cho A-R, Kim T, Park JK. Psychological impact of the 2015 MERS outbreak on hospital workers and quarantined hemodialysis patients. Compr Psychiatry. 2018; 87:123-127. https://dx.doi.org/10.1016%2Fj.comppsych.2018.10.003. Koh D, Meng KL, Chia SE, Ko SM, Qian F, Ng V, et al. Risk perception and impact of severe acute respiratory syndrome (SARS) on work and personal lives of healthcare workers in Singapore: What can we learn? Med Care. 2005;43(7):676-682. https://doi.org/10.1097/01.mlr.0000167181.36730.cc. Verma S, Mythily S, Chan YH, Deslypere JP, Teo EK, Chong SA. Post-SARS psychological morbidity and stigma among general practitioners and traditional Chinese medicine practitioners in Singapore. Ann Acad Med Singap. 2004; 33(6):743e8. Yeung J, Gupta S. Doctors evicted from their homes in India as fear spreads amid coronavirus lockdown. CNN World. 2020. Available at: https://edition.cnn.com/2020/03/25/asia/india-coronavirus-doctors-discrimination-intl-hnk/index.html. [Accessed on 24 August 2020] Violence Against Women and Girls: the Shadow Pandemic. UN Women. 2020. May 3, 2020. Available at: https://www.unwomen.org/en/news/stories/2020/4/statement-ed-phumzile-violence-against-women-during-pandemic. [Accessed on 24 August 2020]. Gearhart S, Patron MP, Hammond TA, Goldberg DW, Klein A, Horney JA. The impact of natural disasters on domestic violence: an analysis of reports of simple assault in Florida (1999–2007). Violence Gend. 2018;5(2):87–92. https://doi.org/10.1089/vio.2017.0077. Sahoo S, Rani S, Parveen S, Pal Singh A, Mehra A, Chakrabarti S, et al. Self-harm and COVID-19 pandemic: An emerging concern – A report of 2 cases from India. Asian J Psychiatr 2020; 51:102104. https://dx.doi.org/10.1016%2Fj.ajp.2020.102104. Ghosh A, Khitiz MT, Pandiyan S, Roub F, Grover S. Multiple suicide attempts in an individual with opioid dependence: Unintended harm of lockdown during the COVID-19 outbreak? Indian J Psychiatry 2020; [In Press]. The Economic Times. 11 Coronavirus suspects flee from a hospital in Maharashtra. March 16 2020. Available at: https://economictimes.indiatimes.com/news/politics-and-nation/11-coronavirus-suspects-flee-from-a-hospital-in-maharashtra/videoshow/74644936.cms?from=mdr. [Accessed on 23 August 2020]. Xiang Y, Yang Y, Li W, Zhang L, Zhang Q, Cheung T, et al. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. The Lancet Psychiatry 2020;(3):228–229. https://doi.org/10.1016/S2215-0366(20)30046-8. Van Bortel T, Basnayake A, Wurie F, Jambai M, Koroma A, Muana A, et al. Psychosocial effects of an Ebola outbreak at individual, community and international levels. Bull World Health Organ. 2016;94(3):210–214. https://dx.doi.org/10.2471%2FBLT.15.158543. Kumar A, Nayar KR. COVID 19 and its mental health consequences. Journal of Mental Health. 2020; ahead of print:1-2. https://doi.org/10.1080/09638237.2020.1757052. Gupta R, Grover S, Basu A, Krishnan V, Tripathi A, Subramanyam A, et al. Changes in sleep pattern and sleep quality during COVID-19 lockdown. Indian J Psychiatry. 2020; 62(4):370-8. https://doi.org/10.4103/psychiatry.indianjpsychiatry_523_20. Duan L, Zhu G. Psychological interventions for people affected by the COVID-19 epidemic. Lancet Psychiatry. 2020;7(4): P300-302. https://doi.org/10.1016/S2215-0366(20)30073-0. Dubey S, Biswas P, Ghosh R, Chatterjee S, Dubey MJ, Chatterjee S et al. Psychosocial impact of COVID-19. Diabetes Metab Syndr. 2020; 14(5): 779–788. https://dx.doi.org/10.1016%2Fj.dsx.2020.05.035. Wright R. The world's largest coronavirus lockdown is having a dramatic impact on pollution in India. CNN World; 2020. Available at: https://edition.cnn.com/2020/03/31/asia/coronavirus-lockdown-impact-pollution-india-intl-hnk/index.html. [Accessed on 23 August 2020] Foster O. ‘Lockdown made me Realise What’s Important’: Meet the Families Reconnecting Remotely. The Guardian; 2020. Available at: https://www.theguardian.com/keep-connected/2020/apr/23/lockdown-made-me-realise-whats-important-meet-the-families-reconnecting-remotely. (Accessed on 23 August 2020) Bilefsky D, Yeginsu C. Of ‘Covidivorces’ and ‘Coronababies’: Life During a Lockdown. N. Y. Times; 2020. Available at: https://www.nytimes.com/2020/03/27/world/coronavirus-lockdown-relationships.html [Accessed on 23 August 2020]

RETRACTION: Z. Zhao, J.‐Z. Guan, M. Wu, G.‐H. Lai, and Z.‐L. Zhu. Downregulation of microRNA‐23b Protects Against Ischemia‐Reperfusion Injury via p53 Signaling Pathway by Upregulating MDM4 in Rats. Journal of Cellular Biochemistry 120, no. 3 (2019): 4599‐4612, https://doi.org/10.1002/jcb.27748.The above article, published online on 9 December 2018 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors; the journal Editor‐in‐Chief, Christian Behl; and Wiley Periodicals LLC. The retraction has been agreed due to concerns raised by third parties on the data presented in the article. Several flaws and inconsistencies between results presented and experimental methods described were found. Furthermore, the same sample used to depict the immunofluorescence staining in Figure 5B was found to have been used in a different scientific context in a previous publication from a different author group. Thus, the editors consider the conclusions of this article to be invalid.

Alloys used in engines are subjected to challenging environments characterized by thermal and mechanical cyclic loadings during start-up and shut-down processes. These conditions can significantly increase the occurrence of fatigue failure mechanisms. Therefore, this study focuses on investigating the low cycle fatigue (LCF) behavior of directionally-solidified alloy at two distinct temperatures, namely 600 °C and 800 °C. Strain-controlled LCF tests were conducted at the specified temperatures, utilizing constant total strain amplitudes of 0.4%, 0.6%, 0.8%, and 1% under a totally reversed loading ratio (R = -1). The Coffin-Manson model, based on plastic deformation, along with a hysteresis energy-based criterion model, were employed to predict and evaluate fatigue life and LCF behavior. Notably, the hysteresis energy and Coffin-Manson models exhibited superior capability in predicting LCF life at 800 °C compared to 600 °C. REFERENCES Salehnasab, J. Marzbanrad, E. Poursaeidi, Transient thermal fatigue crack propagation prediction in a gas turbine component, Eng. Fail. Anal. 130 (2021) 105781. https://doi.org/10.1016/j.engfailanal.2021.105781. S.K. Balam, M. Tamilselvi, A.K. Mondal, R. Rajendran, An investigation into the cracking of platinum aluminide coated directionally solidified CM247 LC high pressure nozzle guide vanes of an aero engine, Eng. Fail. Anal. 94 (2018) 24–32. https://doi.org/10.1016/j.engfailanal.2018.07.027. M. Martinez-Esnaola, M. Arana, J. Bressers, J. Timm, A. Martin-Meizoso, A. Bennett, E.E. Affeldt, Crack initiation in an aluminide coated single crystal during thermomechanical fatigue, ASTM Spec. Tech. Publ. 1263 (1996) 68–81. https://doi.org/10.1520/STP16447S. Schlesinger, T. Seifert, J. Preussner, Experimental investigation of the time and temperature dependent growth of fatigue cracks in Inconel 718 and mechanism based lifetime prediction, Int. J. Fatigue. 99 (2017) 242–249. https://doi.org/10.1016/j.ijfatigue.2016.12.015. Furrer, H. Fecht, Ni-based superalloys for turbine discs, Jom. 51 (1999) 14–17. https://doi.org/10.1007/s11837-999-0005-y. Salehnasab, D. Zarifpour, J. Marzbanrad, G. Samimi, An Investigation into the fracture behavior of the IN625 hot-rolled superalloy, J. Mater. Eng. Perform. 30 (2021) 7171–7184. https://doi.org/https://doi.org/10.1007/s11665-021-05895-x. Caron, T. Khan, Evolution of Ni-based superalloys for single crystal gas turbine blade applications, Aerosp. Sci. Technol. 3 (1999) 513–523. https://doi.org/10.1016/S1270-9638(99)00108-X. Slámečka, J. Pokluda, M. Kianicová, J. Horníková, K. Obrtlík, Fatigue life of cast Inconel 713LC with/without protective diffusion coating under bending, torsion and their combination, Eng. Fract. Mech. 110 (2013) 459–467. https://doi.org/10.1016/j.engfracmech.2013.01.001. Rajendran, M.D. Ganeshachar, T.M. Rao, Condition assessment of gas turbine blades and coatings, Eng. Fail. Anal. 18 (2011) 2104–2110. https://doi.org/10.1016/j.engfailanal.2011.06.017. K. Bhaumik, M. Sujata, M.A. Venkataswamy, M.A. Parameswara, Failure of a low pressure turbine rotor blade of an aeroengine, Eng. Fail. Anal. 13 (2006) 1202–1219. https://doi.org/10.1016/j.engfailanal.2005.12.002. F. Nie, Z.L. Liu, X.M. Liu, Z. Zhuang, Size effects of γ′ precipitate on the creep properties of directionally solidified nickel-base super-alloys at middle temperature, Comput. Mater. Sci. 46 (2009) 400–406. https://doi.org/10.1016/j.commatsci.2009.03.023. Min, X. Wu, L. Xu, W. Tang, S. Zhang, G. Wallner, D. Liang, Y. Feng, Influence of different surface treatments of H13 hot work die steel on its thermal fatigue behaviors, J. Shanghai Univ. (English Ed. 5 (2001) 326–330. https://doi.org/10.1007/s11741-001-0049-x. K. Rai, J.K. Sahu, S.K. Das, N. Paulose, D.C. Fernando, C. Srivastava, Cyclic plastic deformation behaviour of a directionally solidified nickel base superalloy at 850° C: damage micromechanisms, Mater. Charact. 141 (2018) 120–128. https://doi.org/10.1016/j.matchar.2018.04.039. Zhang, L.G. Zhao, A. Roy, V. V Silberschmidt, G. Mccolvin, Low-cycle fatigue of single crystal nickel-based superalloy–mechanical testing and TEM characterisation, Mater. Sci. Eng. A. 744 (2019) 538–547. https://doi.org/10.1016/j.msea.2018.12.084. Qu, C.M. Fu, C. Dong, J.F. Tian, Z.F. Zhang, Failure analysis of the 1st stage blades in gas turbine engine, Eng. Fail. Anal. 32 (2013) 292–303. https://doi.org/10.1016/j.engfailanal.2013.03.017. Salehnasab, E. Poursaeidi, S.A. Mortazavi, G.H. Farokhian, Hot corrosion failure in the first stage nozzle of a gas turbine engine, Eng. Fail. Anal. 60 (2016). https://doi.org/10.1016/j.engfailanal.2015.11.057. Kumari, D.V. V Satyanarayana, M. Srinivas, Failure analysis of gas turbine rotor blades, Eng. Fail. Anal. 45 (2014) 234–244. https://doi.org/10.1016/j.engfailanal.2014.06.003. J. Carter, Common failures in gas turbine blades, Eng. Fail. Anal. 12 (2005) 237–247. https://doi.org/10.1016/j.engfailanal.2004.07.004. Salehnasab, E. Poursaeidi, Mechanism and modeling of fatigue crack initiation and propagation in the directionally solidified CM186 LC blade of a gas turbine engine, Eng. Fract. Mech. 225 (2020) 106842. https://doi.org/10.1016/j.engfracmech.2019.106842. I. Stephens, A. Fatemi, R.R. Stephens, H.O. Fuchs, Metal fatigue in engineering, John Wiley & Sons, 2000. Salehnasab, J. Marzbanrad, E. Poursaeidi, Conventional shot peening treatment effects on thermal fatigue crack growth and failure mechanisms of a solid solution alloy, Eng. Fail. Anal. 155 (2024) 107740. https://doi.org/10.1016/j.engfailanal.2023.107740. Prasad, R. Sarkar, P. Ghosal, V. Kumar, M. Sundararaman, High temperature low cycle fatigue deformation behaviour of forged IN 718 superalloy turbine disc, Mater. Sci. Eng. A. 568 (2013) 239–245. https://doi.org/10.1016/j.msea.2012.12.069. Cano, J.A. Rodríguez, J.M. Rodríguez, J.C. García, F.Z. Sierra, S.R. Casolco, M. Herrera, Detection of damage in steam turbine blades caused by low cycle and strain cycling fatigue, Eng. Fail. Anal. 97 (2019) 579–588. https://doi.org/10.1016/j.engfailanal.2019.01.015. Gao, C. Fei, G. Bai, L. Ding, Reliability-based low-cycle fatigue damage analysis for turbine blade with thermo-structural interaction, Aerosp. Sci. Technol. 49 (2016) 289–300. https://doi.org/10.1016/j.ast.2015.12.017. Gustafsson, J.J. Moverare, S. Johansson, K. Simonsson, M. Hörnqvist, T. Månsson, S. Sjöström, Influence of high temperature hold times on the fatigue crack propagation in Inconel 718, Int. J. Fatigue. 33 (2011) 1461–1469. https://doi.org/10.1016/j.ijfatigue.2011.05.011. M. Seo, I.S. Kim, C.Y. Jo, Low Cycle Fatigue and Fracture Behavior of Nickel-Base Superalloy CM247LC at 760° C, in: Mater. Sci. Forum, Trans Tech Publ, 2004: pp. 561–564. https://doi.org/10.4028/www.scientific.net/MSF.449-452.561. D. Antolovich, S. Liu, R. Baur, Low cycle fatigue behavior of René 80 at elevated temperature, Metall. Trans. A. 12 (1981) 473–481. https://doi.org/10.1007/BF02648545. He, Y. Zhang, W. Qiu, H.-J. Shi, J. Gu, Temperature effect on the low cycle fatigue behavior of a directionally solidified nickel-base superalloy, Mater. Sci. Eng. A. 676 (2016) 246–252. https://doi.org/10.1016/j.msea.2016.08.064. He, Q. Zheng, X. Sun, H. Guan, Z. Hu, K. Tieu, C. Lu, H. Zhu, Effect of temperature and strain amplitude on dislocation structure of M963 superalloy during high-temperature low cycle fatigue, Mater. Trans. 47 (2006) 67–71. https://doi.org/10.2320/matertrans.47.67. Deng, J. Xu, Y. Hu, Z. Huang, L. Jiang, Isothermal and thermomechanical fatigue behavior of Inconel 718 superalloy, Mater. Sci. Eng. A. 742 (2019) 813–819. https://doi.org/10.1016/j.msea.2018.11.052. J. Kashinga, L.G. Zhao, V. V Silberschmidt, F. Farukh, N.C. Barnard, M.T. Whittaker, D. Proprentner, B. Shollock, G. McColvin, Low cycle fatigue of a directionally solidified nickel-based superalloy: Testing, characterisation and modelling, Mater. Sci. Eng. A. 708 (2017) 503–513. https://doi.org/10.1016/j.msea.2017.10.024. Mukherjee, K. Barat, S. Sivaprasad, S. Tarafder, S.K. Kar, Elevated temperature low cycle fatigue behaviour of Haynes 282 and its correlation with microstructure–Effect of ageing conditions, Mater. Sci. Eng. A. 762 (2019) 138073. https://doi.org/10.1016/j.msea.2019.138073. V. Rao, N.C.S. Srinivas, G.V.S. Sastry, V. Singh, Low cycle fatigue, deformation and fracture behaviour of Inconel 617 alloy, Mater. Sci. Eng. A. 765 (2019) 138286. https://doi.org/10.1016/j.msea.2019.138286. Harris, G.L. Erickson, R.E. Schwer, MAR-M247 derivations—CM247 LC DS alloy, CMSX single crystal alloys, properties and performance, Superalloys. 1984 (1984) 221–230. https://doi.org/10.7449/1984/SUPERALLOYS_1984_221_230. -C. Zhao, J.H. Westbrook, Ultrahigh-temperature materials for jet engines, MRS Bull. 28 (2003) 622–630. https://doi.org/10.1557/mrs2003.189. S. Fan, X.G. Yang, D.Q. Shi, S.W. Han, S.L. Li, A quantitative role of rafting on low cycle fatigue behaviour of a directionally solidified Ni-based superalloy through a cross-correlated image processing method, Int. J. Fatigue. 131 (2020) 105305. https://doi.org/10.1016/j.ijfatigue.2019.105305. Radonovich, A.P. Gordon, Methods of extrapolating low cycle fatigue data to high stress amplitudes, 2008. https://doi.org/10.1115/GT2008-50365. R. Daubenspeck, A.P. Gordon, Extrapolation techniques for very low cycle fatigue behavior of a Ni-base superalloy, (2011). https://doi.org/10.1115/1.4003602. Nagarjuna, M. Srinivas, K. Balasubramanian, D.S. Sarmat, Effect of alloying content on high cycle fatigue behaviour of Cu Ti alloys, Int. J. Fatigue. 19 (1997) 51–57. https://doi.org/10.1016/S0142-1123(96)00041-2. Lai, T. Lund, K. Rydén, A. Gabelli, I. Strandell, The fatigue limit of bearing steels–Part I: A pragmatic approach to predict very high cycle fatigue strength, Int. J. Fatigue. 38 (2012) 155–168. https://doi.org/10.1016/j.ijfatigue.2011.09.015. V.U. Praveen, V. Singh, Effect of cold rolling on the Coffin–manson relationship in low-cycle fatigue of superalloy IN718, Metall. Mater. Trans. A. 39 (2008) 79–86. https://doi.org/10.1007/s11661-007-9378-0. Suresh, Fatigue of materials, Cambridge university press, 1998. Liu, Z.J. Zhang, P. Zhang, Z.F. Zhang, Extremely-low-cycle fatigue behaviors of Cu and Cu–Al alloys: Damage mechanisms and life prediction, Acta Mater. 83 (2015) 341–356. https://doi.org/10.1016/j.actamat.2014.10.002. Xue, A unified expression for low cycle fatigue and extremely low cycle fatigue and its implication for monotonic loading, Int. J. Fatigue. 30 (2008) 1691–1698. https://doi.org/10.1016/j.ijfatigue.2008.03.004. Kang, H. Ge, Predicting ductile crack initiation of steel bridge structures due to extremely low-cycle fatigue using local and non-local models, J. Earthq. Eng. 17 (2013) 323–349. https://doi.org/10.1080/13632469.2012.746211. W. Shao, P. Zhang, R. Liu, Z.J. Zhang, J.C. Pang, Z.F. Zhang, Low-cycle and extremely-low-cycle fatigue behaviors of high-Mn austenitic TRIP/TWIP alloys: Property evaluation, damage mechanisms and life prediction, Acta Mater. 103 (2016) 781–795. https://doi.org/10.1016/j.actamat.2015.11.015. Miao, T.M. Pollock, J.W. Jones, Crystallographic fatigue crack initiation in nickel-based superalloy René 88DT at elevated temperature, Acta Mater. 57 (2009) 5964–5974. https://doi.org/10.1016/j.actamat.2009.08.022. G. Wang, J.L. Liu, T. Jin, X.F. Sun, Y.Z. Zhou, Z.Q. Hu, J.H. Do, B.G. Choi, I.S. Kim, C.Y. Jo, Deformation mechanisms of a nickel-based single-crystal superalloy during low-cycle fatigue at different temperatures, Scr. Mater. 99 (2015) 57–60. https://doi.org/10.1016/j.scriptamat.2014.11.026. J. Plumbridge, M.E. Dalski, P.J. Castle, High strain fatigue of a type 316 stainless steel, Fatigue Fract. Eng. Mater. Struct. 3 (1980) 177–188. https://doi.org/10.1111/j.1460-2695.1980.tb01112.x.