bluuebunny/crossref_metadata_2025_split huggingface dataset:
Opening Up: Clients’ Inner Struggles in the Initial Phase of Therapy
Authors: Kleiven Gøril Solberg , Hjeltnes Aslak , Råbu Marit , Moltu Christian 
Published: January 2021

ObjectiveTo explore how clients in clinical settings experience the process of opening up and sharing their inner experiences in the initial phase of therapy.MethodsTwo psychotherapy sessions of clients (N = 11) were videotaped and followed by interviews. Interpersonal process recall was used to obtain in-depth descriptions of clients’ immediate experiences in session. A follow-up interview was conducted 3 months later. The interviews were analyzed using thematic analysis.ResultsThe data revealed how and why clients distanced themselves from inner experiences in the initial phase of therapy. The overarching theme was “Holding back and struggling to open up,” which included four subthemes: (a) fearing the intensity and consequences of negative emotions; (b) experiences of being incapable and bodily stuck; (c) being insecure about one’s worthiness and right to share inner experiences with the therapist; and (d) struggling with feeling disloyal to loved ones.ConclusionThe participants held back because they feared different consequences of opening up. A range of concerns led participants to distance themselves from their inner experiences and/or to refrain from openly talking about them to the therapist. Concerns related to appropriate interpersonal conduct as client were especially important. This knowledge is highly relevant to clinicians when building safety for psychotherapeutic work.
Perinatal Depression of Exposed Maternal Women in the COVID-19 Pandemic in Wuhan, China
Authors: Sun Guoqiang , Wang Qi , Lin Ying , Li Ruyan , Yang Lijun , Liu Xian , Peng Min , Wang Hongyan , Yang Xuewen , Ren Wei , Yang Hui , Cheng Yao 
Published: January 2021

Objective: This study aims to investigate perinatal depression in women who gave birth during the COVID-19 pandemic in Wuhan, and to evaluate the effect of the pandemic on perinatal depression prevalence.Methods: A cross-sectional investigation was conducted into women hospitalized for delivery in Hubei Maternity and Child Healthcare Hospital from December 31, 2019 to March 22, 2020, a period which encompasses the entire time frame of the COVID-19 pandemic in Wuhan. The Edinburgh Postnatal Depression Scale (EPDS) was adopted to evaluate perinatal depression status. A Chi-square test and logistic regression model were utilized for data analysis.Results: A total of 2,883 participants were included, 33.71% of whom were found to suffer from depressive symptoms. In detail, 27.02%, 5.24%, and 1.46% were designated as having mild, moderate, and severe depressive symptoms, respectively. The perinatal depression prevalence increased as the COVID-19 pandemic worsened. Compared to the period from December 31, 2019 to January 12, 2020, perinatal depression risk significantly decreased within the 3 weeks of March 2–22, 2020 (1st week: OR = 0.39, 95% CI: 0.20, 0.78; 2nd week: OR = 0.35, 95% CI: 0.17, 0.73; and 3rd week: OR = 0.48, 95% CI: 0.25, 0.94); and the postnatal depression risk significantly rose within the four weeks of January 27-February 23, 2020 (1st week: OR = 1.78, 95% CI: 1.18, 2.68; 2nd week: OR = 2.03, 95% CI: 1.35, 3.04; 3rd week: OR = 1.48, 95% CI: 1.02, 2.14; and 4th week: OR = 1.73, 95% CI: 1.20, 2.48).Conclusion: The dynamic change of perinatal depression was associated with the progression of the COVID-19 pandemic among new mothers who were exposed to the pandemic. An elevated risk of postnatal depression was also observed during the COVID-19 pandemic.
BDNF Gene's Role in Schizophrenia: From Risk Allele to Methylation Implications
Authors: Fu Xiaoqian , Wang Jun , Du Jianbin , Sun Jing , Baranova Ancha , Zhang Fuquan 
Published: January 2021

Background: Schizophrenia (SZ) is a severe chronic mental disorder with complex genetic mechanisms. Brain-derived neurotrophic factor (BDNF) is one of promising candidate genes for SZ, and rs6265 is a non-synonymous single nucleotide polymorphism (SNP) in BDNF.Methods: In this study, we performed a case-control association study of rs6265 in a cohort of Han Chinese population from eastern China, including 1,407 SZ patients and 1,136 healthy controls; and carried out a cis-mQTL (Methylation Quantitative Trait Loci) analysis for BDNF rs6265.Results: We found a positive association of rs6265 with SZ (P = 0.037), with the minor allele (A) of rs6265 conferring a protecting effect for SZ (OR = 0.89). Furthermore, cis-mQTL analysis indicates that rs6265 is associated with several methylation loci surrounding BDNF.Conclusions: Together, our findings provide further evidence to support the involvement of BDNF gene in the genesis of SZ.
A Weighted Gene Co-expression Network Analysis Reveals lncRNA Abnormalities in the Peripheral Blood Associated With Ultra-High-Risk for Psychosis
Authors: Ren Yan , Li Wei , Liu Sha , Li Zhi , Wang Jiaying , Yang Hong , Xu Yong 
Published: January 2021

Objective: The primary study aim was to identify long non-coding RNA (lncRNA) abnormalities associated with ultra-high-risk (UHR) for psychosis based on a weighted gene co-expression network analysis.Methods: UHR patients were screened by the structured interview for prodromal syndromes (SIPS). We performed a WGCNA analysis on lncRNA and mRNA microarray profiles generated from the peripheral blood samples in 14 treatment-seeking patients with UHR who never received psychiatric medication and 18 demographically matched typically developing controls. Gene Ontology (GO) analysis and canonical correlation analysis were then applied to reveal functions and correlation between lncRNAs and mRNAs.Results: The lncRNAs were organized into co-expressed modules by WGCNA, two modules of which were strongly associated with UHR. The mRNA networks were constructed and two disease-associated mRNA modules were identified. A functional enrichment analysis showed that mRNAs were highly enriched for immune regulation and inflammation. Moreover, a significant correlation between lncRNAs and mRNAs were verified by a canonical correlation analysis.Conclusion: We identified novel lncRNA modules related to UHR. These results contribute to our understanding of the molecular basis of UHR from the perspective of systems biology and provide a theoretical basis for early intervention in the assumed development of schizophrenia.
Young Adults With Higher Motives and Expectancies of Regular Cannabis Use Show Poorer Psychosocial Functioning
Authors: Amiet Danielle , Youssef George J. , Hagg Lauryn J. , Lorenzetti Valentina , Parkes Linden , Solowij Nadia , Yücel Murat 
Published: January 2021

Background: Young adults regularly using cannabis represent a uniquely vulnerable yet heterogeneous cohort. Few studies have examined user profiles using cannabis use motives and expectations. The association between user profiles and psychosocial functioning among only regular users remains unexplored. This exploration is important to improve public education efforts and design tailor treatment approaches.Methods: Regular cannabis users (at least weekly; n = 329) completed an online survey via Amazon Mechanical Turk. The survey measured levels of cannabis use, other substance use, motives and expectations of cannabis use, symptoms of psychosis, depression, anxiety and stress, and reckless behavior such as getting high before work or driving under the influence of cannabis. Latent class analysis was performed using motives and expectations to identify data driven patterns of regular cannabis use. Classes were then used to investigate mental health and behavioral correlates of differences in motives and expectations.Results: A 2-class solution provided the best fit to the data; Class 1: Low Motives and Expectancies (n = 158) characterized by lower endorsement across all motivation and expectation variables, and Class 2: High Motives and Expectancies (n = 171) characterized by endorsing multiple motivations, and higher positive and negative expectations of cannabis use. Classes differed in a range of cannabis use variables; e.g., greater proportion of peer use in Class 2. The High Motives and Expectancies users reported higher symptoms of psychosis (positive and negative symptoms), depression, anxiety, and stress. A higher proportion met the criteria for a cannabis use disorder compared with Low Motives and Expectancies users. High Motives and Expectancies users reported higher mean problems with nicotine dependence and illicit drug use other than cannabis and were more likely to get high before work and drive under the influence of cannabis.Conclusions: There is heterogeneity among young regular cannabis users in their motivations and expectancies of use and associated psychosocial functioning. Understanding motives and expectancies can help segregate which users are at higher risk of worse functioning. These findings are timely when designing targeted assessment and treatment strategies, particularly as cannabis is further decriminalized and accessibility increases.
Identifying Psychological Symptoms Based on Facial Movements
Authors: Wang Xiaoyang , Wang Yilin , Zhou Mingjie , Li Baobin , Liu Xiaoqian , Zhu Tingshao 
Published: January 2021

Background: Many methods have been proposed to automatically identify the presence of mental illness, but these have mostly focused on one specific mental illness. In some non-professional scenarios, it would be more helpful to understand an individual's mental health status from all perspectives.Methods: We recruited 100 participants. Their multi-dimensional psychological symptoms of mental health were evaluated using the Symptom Checklist 90 (SCL-90) and their facial movements under neutral stimulation were recorded using Microsoft Kinect. We extracted the time-series characteristics of the key points as the input, and the subscale scores of the SCL-90 as the output to build facial prediction models. Finally, the convergent validity, discriminant validity, criterion validity, and the split-half reliability were respectively assessed using a multitrait-multimethod matrix and correlation coefficients.Results: The correlation coefficients between the predicted values and actual scores were 0.26 and 0.42 (P &lt; 0.01), which indicated good criterion validity. All models except depression had high convergent validity but low discriminant validity. Results also indicated good levels of split-half reliability for each model [from 0.516 (hostility) to 0.817 (interpersonal sensitivity)] (P &lt; 0.001).Conclusion: The validity and reliability of facial prediction models were confirmed for the measurement of mental health based on the SCL-90. Our research demonstrated that fine-grained aspects of mental health can be identified from the face, and provided a feasible evaluation method for multi-dimensional prediction models.
Impact of the COVID-19 Pandemic on Patients With Alcohol Use Disorder and Associated Risk Factors for Relapse
Authors: Yazdi Kurosch , Fuchs-Leitner Isabella , Rosenleitner Jan , Gerstgrasser Nikolas W. 
Published: January 2021

Background: The impact of the ongoing COVID-19 pandemic on vulnerable groups like patients suffering from substance use disorders is expected to be tremendous, and corresponding concerns were raised early on by many experts around the world. Psychosocial distress, financial insecurities and physiological problems associated with the COVID-19 crisis could be especially challenging for this group of patients.Methods: In the current study data was collected from a clinical sample of patients with alcohol use disorder (AUD; N = 127) during the initial stage of the pandemic. The impact of various COVID-19 related factors (physiological, psychosocial, economic and others) on patients' personal life was evaluated. Alcohol consumption, craving, and potential posttraumatic stress disorder (PTSD) symptoms were assessed using different scales and their associations were analyzed. Furthermore, differences regarding these variables between comparably sized groups of patients who remained abstinent (N = 37), relapsed (N = 41), or reported unaltered drinking behavior (consuming subgroup, N = 49) were investigated. The impact of sociodemographic and COVID-19 factors on relapse (in comparison to abstinence) was evaluated using binary logistic regression analysis.Results: Our results confirmed the expected positive associations between alcohol consumption, craving, and PTSD symptoms, respectively, among patients with AUD. Furthermore, group differences indicate significantly lower levels on all three scales for abstinent patients. Although generally low PTSD scores were observed, 8% of our participants were found to be at risk of PTSD. Results of a binary logistic regression analysis indicated the presence of psychosocial COVID-19 factors (e.g., isolation, anxiety, and depression) as well as living alone as two major risk factors for relapse.Discussion: Our findings based on actual patient data support the anticipated negative consequences of the pandemic on persons with AUD. Crucially, our results regarding relapse emphasized psychosocial COVID-19 factors and isolation as especially challenging circumstances for persons with AUD, whereas economic and physiological health aspects seemed of minor impact on relapse. Our results reflect the initial stage of the pandemic, whereas long-term developments should be closely monitored.
Air Pollution and Central Nervous System Disease: A Review of the Impact of Fine Particulate Matter on Neurological Disorders
Authors: Kim Hyunyoung , Kim Won-Ho , Kim Young-Youl , Park Hyun-Young 
Published: January 2021

Background:It is widely known that the harmful effects of fine dust can cause various diseases. Research on the correlation between fine dust and health has been mainly focused on lung and cardiovascular diseases. By contrast, the effects of air pollution on the central nervous system (CNS) are not broadly recognized.Findings:Air pollution can cause diverse neurological disorders as the result of inflammation of the nervous system, oxidative stress, activation of microglial cells, protein condensation, and cerebral vascular-barrier disorders, but uncertainty remains concerning the biological mechanisms by which air pollution produces neurological disease. Neuronal cell damage caused by fine dust, especially in fetuses and infants, can cause permanent brain damage or lead to neurological disease in adulthood.Conclusion:It is necessary to study the air pollution–CNS disease connection with particular care and commitment. Moreover, the epidemiological and experimental study of the association between exposure to air pollution and CNS damage is critical to public health and quality of life. Here, we summarize the correlations between fine dust exposure and neurological disorders reported so far and make suggestions on the direction future research should take.
Infection Control Practices Among Private Practicing Dentists in Nairobi During the Pre-coronavirus Disease 2019 Period
Authors: Otieno Benedict Odhiambo , Kihara Eunice Njeri , Mua Bernard Nzioka 
Published: January 2021

Background: Cross-infection control is a dynamic field that requires frequent updates due to emerging diseases, advancement in technology, and scientific knowledge. Despite wide publication of guidelines, a laxity in compliance to the standard precautions for infection control by dental health-care personnel (DHCP) has been reported globally. Therefore, there is need to review previous shortcomings in order to adequately secure dental practices during the coronavirus disease 2019 (COVID-19) pandemic. The aim of the study was to determine knowledge and infection control practices by dentists in private practices. The study was done a few months before the first COVID-19 case was confirmed in Kenya.Materials and Methods: The study design was a descriptive cross-sectional study that was carried out in selected private dental clinics located in Nairobi. Data were collected using an interviewer-administered questionnaire. Convenience sampling method was utilized, while data were analyzed using SPSS 20.0.0.0.Results: A total of 71 private dentists participated in the study. Their mean age was 38 years with an age range of 27–55 years. Almost all (70, 98.6%) the dentists were able to define cross infection correctly. Majority (62, 87.3%) correctly differentiated between sterilization and disinfection, while 9 (12.7%) had difficulties. Most (68, 95.8%) of the respondents were aware of the standard precautions for cross-infection control. All participants used face masks and gloves. About half of them (38, 54%) practiced hand washing after removal of gloves and 31 (43.7%) before and after wearing of gloves, while 2 (2.8%) washed hands only before wearing gloves. Only 31 (42.3%) and 26 (36.6%) participants reported use of rubber dam isolation and impervious barrier, respectively. All the dentists reported disposal of sharps into especially labeled containers, while about half reported use of disposable suction traps and amalgam separators.Conclusion: The dentists had a good knowledge on various aspects of infection control measures that were studied. Use of basic personal protective equipment was widely practiced. There were irregularities in hand hygiene, use of rubber dam, surface barriers, and waste management. The work highlights that many dentists were unprepared to manage infectious risk during the COVID-19 outbreak, which justified the closure of the dental facilities. Development of strategies to promote adequate and safe practice is highly recommended.
The Application of Transesophageal Echocardiography in Mitral Valve Repair With Tendon Reconstruction
Authors: Zhou Li , Gu Ji-wei , Wang Yun , Ye Jing-jing , Wang Fang , Wang Ting-ting , Jiang Bo , Na Li-sha 
Published: January 2021

Objective: To investigate whether tendon reconstruction during mitral valve repair can be effectively guided by transesophageal echocardiography (TEE), using the mid-esophageal bi-commissure view, bicaval view and the aortic valve–mitral valve transition short-axis view.Methods: A total of 40 patients that underwent mitral valve repair with artificial tendineae were recruited. Before the operation, conventional transthoracic echocardiography was used to determine whether mitral valve repair would be possible. Following intraoperative anesthesia, two-dimensional and three-dimensional TEE reconstructions were used to assess the state of the valve and tendon and to make a repair plan.Results: TEE accurately diagnosed single functional tendon rupture and predicted single artificial tendon implantation in 88% of cases (23/26). TEE accurately diagnosed single functional tendon rupture and predicted the implantation of two artificial tendons in 100% of cases (4/4). TEE accurately diagnosed two or more functional tendon ruptures and predicted the implantation of two artificial tendons in 100% of cases (5/5). The length of the tendon cord predicted by TEE (2.45 ± 0.15 mm) was not significantly different (P &gt; 0.05) from the length of the cord that was actually implanted (2.31 ± 0.11 mm). TEE also accurately predicted the size of the annuloplasty ring in 86% of cases (33/38), with differences of 2 mm or less compared to the size of the ring that was actually implanted.Conclusion: Both the mid-esophageal bi-commissure view, bicaval view and the short-axis view of the aortic valve–mitral valve transition can reduce the difficulty of tendon reconstruction by helping to determine what length of tendon and what size of artificial annulus are required.
Chronic Invasive Fungal Rhinosinusitis in Immunocompetent Patients: A Retrospective Chart Review
Authors: Alotaibi Naif H. , Omar Omar Abu , Altahan Mays , Alsheikh Haifa , Al Mana Fawziah , Mahasin Zeyad , Othman Eyas 
Published: January 2021

Objective: We report cases of Chronic Invasive Fungal Sinusitis (CIFS) in patients considered as immunocompetent at tertiary care center (King Faisal Specialist Hospital), to analyze their clinical, biological, radiological features, and management.Material and methods: A retrospective chart review of CIFS in immunocompetent patients. The inclusion criteria as the following: immunocompetent patients of any age with histopathological findings of CIFS. Immunocompromised patients, acute Invasive Fungal Sinusitis (IFS), non-invasive fungal rhinosinusitis, and no positive histological findings were excluded.Results: Seventeen (17) patients were included. The species isolated included: Aspergillus (most frequent) &amp; Mucor. Surgical treatment approaches were described. Complications reported include CSF leak, blindness, recurrence, and death.Conclusions: Early diagnosis and management of CIFS improve clinical outcomes.
3D rampart-based dual-band metamaterial absorber with wide-incident-angle stability
Authors: Deng Guangsheng , Sun Hanxiao , Lv Kun , Yang Jun , Yin Zhiping , Li Ying , Chi Baihong 
Published: January 2021

Abstract
We propose a dual-band metamaterial absorber (MA) based on a stereo resonant structure. The unit cell of the proposed MA is composed of double metallic rings with a rampart on each ring into a dielectric substrate. In contrast to the conventional plane resonator, our proposed metamaterial exhibits wider incident angle stability. The power loss density distribution shows that the standing ramparts play a key role in enhancing the electromagnetic wave absorption. Experimental results verify the wide-incident-angle stability of the absorber. Our proposed strategy paves a new way on developing MAs with wide incident angle stabilities.
Determinants of Bank Liquidity in Nepal
Authors: Bista Raghu Bir , Basnet Priyanka 
Published: January 2021

This paper examines determinants of bank liquidity of the commercial bank in Nepal based on 12 years long time series data base from 2004 to 2015, employing the econometric model. As a result, the bank liquidity of the commercial bank has fluctuation and instable trend line indicating the risk of liquidity crunch. Similarly, deposit, capital adequacy, remittance and bank size are determinants of bank liquidity of the commercial bank out of which deposit is prevalent to increase bank liquidity and capital adequacy is key to decrease it. In long term, capital adequacy, bank size and government expenditure increase bank liquidity of the commercial bank but deposit decreases it. Thus, internal variables influence bank liquidity more than macroeconomic variables. Therefore, the commercial banks should maintain bank liquidity in short period and in long period for achievement of financial health, stability and growth as per mention regulatory provisions and criteria of the monetary policy and the monetary policy should be formulated to maintain short and long term bank liquidity in accordance with IMF standards and guidelines for reducing the potential risk of liquidity crunch as result of the variation of macro-economic variables and of international global trade and oil price and production.