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This 29.9 cubic feet collection includes correspondence, notes, and writings of Boniface I. Obichere, a UCLA professor of African history. notebooks, book manuscripts, scholarly journals, letters of recommendation, student papers, course materials, conference papers, reports, grant materials, committee papers, maps, photographs, slides, audio recordings, student and class papers, organizations in which Dr. Obichere participated, particularly the African Studies Center and the Journal of African Studies. [ABSTRACT FROM AUTHOR]

The winner of the 2020 TPS Best Paper Award has been selected (please refer to our TPS home page for details about the award at https://ieee-npss.org/publications/transactions-on-plasma-science/). This year is the second year that the award is being given, and I am pleased to announce that Prof. Chandrashekhar Joshi, Department of Electrical and Computer Engineering, University of California at Los Angeles, Los Angeles, CA, USA, is the winner for his article “Laser-driven plasma accelerators operating in the self- guided, blowout regime.” This article appeared in IEEE TPS, vol. 45, pp. 3134–3146, in December 2017. The award plaque, certificate, and cheque will be presented to Prof. Joshi at an upcoming International Conference on Plasma Science in South Lake Tahoe, CA, USA, in June 2021. This is an open-access article and is freely available to our readers. Congratulations to Prof. Chan Joshi on this accomplishment. [ABSTRACT FROM AUTHOR]

This paper introduces a novel one-dimensional convolutional neural network that utilizes clinical data to accurately detect choledocholithiasis, where gallstones obstruct the common bile duct. Swift and precise detection of this condition is critical to preventing severe complications, such as biliary colic, jaundice, and pancreatitis. This cutting-edge model was rigorously compared with other machine learning methods commonly used in similar problems, such as logistic regression, linear discriminant analysis, and a state-of-the-art random forest, using a dataset derived from endoscopic retrograde cholangiopancreatography scans performed at Olive View–University of California, Los Angeles Medical Center. The one-dimensional convolutional neural network model demonstrated exceptional performance, achieving 90.77% accuracy and 92.86% specificity, with an area under the curve of 0.9270. While the paper acknowledges potential areas for improvement, it emphasizes the effectiveness of the one-dimensional convolutional neural network architecture. The results suggest that this one-dimensional convolutional neural network approach could serve as a plausible alternative to endoscopic retrograde cholangiopancreatography, considering its disadvantages, such as the need for specialized equipment and skilled personnel and the risk of postoperative complications. The potential of the one-dimensional convolutional neural network model to significantly advance the clinical diagnosis of this gallstone-related condition is notable, offering a less invasive, potentially safer, and more accessible alternative. [ABSTRACT FROM AUTHOR]

aimed to analyze research on epilepsy in autism and autism in epilepsy using VOSviewer and CiteSpace to identify research hotspots and future directions. Methods: We searched the Web of Science Core Collection (WoSCC) for relevant studies about epilepsy in autism and autism in epilepsy published from inception to 31 May 2022. VOSviewer and CiteSpace were used to analyze the authors, institutions, countries, publishing journals, reference co-citation patterns, keyword co-occurrence, keyword clustering, keywords with citation bursts, and other aspects to construct a knowledge atlas. Results: A total of 473 publications related to epilepsy/autism were retrieved. The number of publications about epilepsy/ASD has generally increased over time, with some fluctuations. The USA (202 papers) and University of California-Los Angeles (15 papers) were the leading country and institution, respectively, in this field. Frye, Richard E. was the most published author (9 papers). Notably, collaboration between institutions, countries, and authors does not appear to be active. Hot topics and research frontiers include intellectual disability and exploring the mechanism of epilepsy/ASD from a genetics perspective. Conclusion: This analysis identified the most influential publications, authors, journals, institutions, and countries in the field of epilepsy/ASD research. Using co-occurrence and evolution analyses, the status of the field was identified and future trends were predicted. [ABSTRACT FROM AUTHOR]

Background: The problems of students' social interaction and psychological well-being associated with online learning dependent on self-directed learning have become an important topic of research in recent years worldwide due to the COVID-19 pandemic, affecting their Social Emotional Learning. This paper aimed to compare the students' loneliness, social anxiety, social interaction, and general psychological well-being at different stages of online learning (at the beginning and the height of the pandemic), considering their criteria (presence/absence of a job and own family). Methods: For this, the researchers conducted an electronic survey of students (n = 320) twice, in February and May 2020, using four questionnaires: UCLA loneliness scale-3, Social Anxiety Scale for E-Learning Environments, Social Interaction Scale, and Brief Adjustment Scale. The responses at different stages of online learning were compared using Student's t-test. Differences between employed and unemployed students with or without their own families were determined using the analysis of variance (ANOVA). Results: The findings showed that unemployed students without their families suffered the most from loneliness. Social interaction online was rated higher by students with their own families; psychological well-being at the beginning of the distance period and social anxiety at the height of the distance period were higher among unemployed students. Conclusions: This research can become a theoretical basis for a phase-by-phase study of social predictors for the psychological well-being of higher education students and is of practical value for teachers and administrators of online learning aimed at students' socialization. In addition, it provides education officials with information about how students perceive psychological well-being, anxiety, social interaction, and loneliness during distance learning, which can help officials direct their decisions and reforms to improve interaction in the online environment. [ABSTRACT FROM AUTHOR]

This paper examines potential associations of loneliness with laboratory data and specific psychosocial and behavioral attitudes. The sample collection took place in an urban Primary Health Care unit between May and July 2023, consecutively, and once exclusion criteria were implemented. Participants were aged between 40 and 75 years. Routine laboratory test results upon study initiation and six months before were used. The University of California, Los Angeles (UCLA), Loneliness Scale (Version 3), blood glucose, serum lipids, Fibrosis-4 index, and Creatinine Clearance (CrCl) were assessed through hierarchical multiple logistic regression analysis. Based on full model (3rd) analysis, those who were engaged in an individual sport or activity or had contacts with more friends presented significantly lower odds for increased loneliness levels (odds ratio (OR): 0.28 [95% confidence interval (CI) 0.09–0.91], p = 0.034 and OR: 0.76 [95%CI 0.66–0.88], p < 0.001, respectively). The consumption of alcohol was associated with increased loneliness (OR: 5.55 [95%CI 1.42–21.63], p = 0.014). Elevated triglyceride levels were linked with moderate or no loneliness (OR: 0.20 [95%CI 0.05–0.83], p = 0.026), while an increased LDL/HDL atherosclerotic index was related to increased subjective loneliness (OR: 4.50 [95%CI 1.12–18.13], p = 0.035). The need for holistic approaches—involving primary care personnel—in understanding and addressing loneliness, recognizing its multifaceted nature as well as the diverse factors that contribute to this issue, is considered challenging. [ABSTRACT FROM AUTHOR]

Purpose: Pregnant women are vulnerable to stress. The coronavirus disease 2019 (COVID-19) has caused a global pandemic and created significant stress for many people. Social distancing to reduce the spread of COVID-19 has also reduced social interactions, which has increased social isolation and loneliness. Loneliness is thought to increase perceived stress, cause psychological distress, and increase the risk of mental illness, such as depression. This study examined the association between serious psychological distress (SPD) and loneliness during the COVID-19 pandemic in pregnant Japanese women. Patients and Methods: An internet survey of 1022 pregnant women in Japan was conducted between June 1 and July 21, 2021. The 6-item Kessler Psychological Distress Scale, 3-item Revised UCLA Loneliness Scale, and Fear of COVID-19 Scale were used as measurement tools. The prevalence of SPD was defined as a K6 score of ≥ 13. Results: The prevalence of SPD was 16.5%. Multivariate analysis revealed that the risk factors for SPD were younger age (odds ratio [OR] 1.05; 95% confidence interval [CI] 1.01 to 1.10; p = 0.020), history of abortion or miscarriages (OR 1.56; 95% CI 1.04 to 2.36; p = 0.034), unemployment (OR 1.67; 95% CI 1.14 to 2.45; p = 0.008), fear of COVID-19 (OR, 1.12; 95% CI, 1.08 to 1.17; p < 0.001), and loneliness (OR 1.53; 95% CI 1.38 to 1.70; p < 0.001). Conclusion: Pregnant women in Japan showed a high prevalence of SPD. Younger age, unemployment, history of abortion or miscarriages, fear of COVID-19, and loneliness were independently associated with SPD. Clinicians and health officials should pay particular attention to the psychological health of pregnant women during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Conceptual papers typically focus on proposing new relationships among constructs; the purpose is thus to develop logical and complete arguments about these associations rather than testing them empirically. The current article is the conceptual paper; however, the aim of the present study is to examine the relationship between loneliness, cognitive distortions, resilience, family support and depression among older people. Purposive sampling technique will be used to collect data from 300 participants form Pakistan. Cognitive distortion scale, UCLA loneliness scale, family support scale, Connor Davidson resilience scale and beck depression inventory will be used as an assessment measure in the current study to check the level of loneliness, cognitive distortions, resilience, family support and depression. SPSS-27 software will be used for the statistical analysis in the present study. Pearson product moment correlation analysis, reliability analysis, independent sample t-test and hierarchal regression analysis will be used in the current study. The authors conclude that higher level of loneliness and cognitive distortions will lead to higher level of depression. Policy makers, social workers and organizations that wish to jointly address mental health and performance at work would benefit from reducing depression by enhancing resilience and importance of family support. [ABSTRACT FROM AUTHOR]

While lumbar spinal fusion using rigid rods is a prevalent surgical technique, it can lead to complications such as adjacent segment disease (ASDis). Dynamic stabilization devices serve to maintain physiological spinal motion and alleviate painful stress, yet they are accompanied by a substantial incidence of construct failure and subsequent reoperation. Compared to traditional rigid devices, Isobar TTL semi-rigid stabilization devices demonstrate equivalent stiffness and effective stabilization capabilities. Furthermore, when contrasted with dynamic stabilization techniques, semi-rigid stabilization offers improved load distribution, a broader range of motion within the fixed segment, and reduced mechanical failure rates. This paper will review and evaluate the clinical and biomechanical performance of Isobar TTL semi-rigid stabilization devices. A literature search using the PubMed, EMBASE, CNKI, Wanfang, VIP, and Cochrane Library databases identified studies that met the eligibility criteria. Twenty-eight clinical studies and nine biomechanical studies were included in this systematic review. The VAS, the ODI, and Japanese Orthopedic Association scoring improved significantly in most studies. UCLA grading scale, Pfirrmann grading, and modified Pfirrmann grading of the upper adjacent segments improved significantly in most studies. The occurrence rate of ASD was low. In biomechanical studies, Isobar TTL demonstrated a superior load sharing distribution, a larger fixed segment range of motion, and reduced stress at the rod–screw/screw–bone interfaces compared with titanium rods. While findings from mechanical studies provided promising results, the clinical studies exhibited low methodological quality. As a result, the available evidence does not possess sufficient strength to substantiate superior outcomes with Isobar semi-rigid system in comparison to titanium rods. To establish more conclusive conclusions, further investigations incorporating improved protocols, larger sample sizes, and extended follow-up durations are warranted. [ABSTRACT FROM AUTHOR]

Background: Chronic ankle instability is a common condition that develops after lateral ankle sprains. Many surgical techniques have been described in case of failure of conservative treatment. The purpose of this paper is to present the results in terms of clinical outcomes, return to sport and recurrence rate after reconstruction of the lateral ligament complex of the ankle with a minimally invasive approach at a minimum follow up of five years. Methods: This retrospective study involved forty-seven patients treated for chronic ankle instability from January 2013 to November 2017. The clinical outcomes were evaluated with the American Orthopedic Foot and Ankle Society ankle and hindfoot score (AOFAS score), the University of California–Los Angeles Rating Scale (UCLA Rating Scale), the Karlsson–Peterson ankle instability score and the Halasi scale at a mean follow up time of 80 months. Results: The mean age of the patients was 42 years (23–63). The mean VAS pain score decreased from 5.6 (2–9) pre-operatively to 0.7 (0–7) post-operatively. The mean UCLA Rating Scale score improved from 7.7 (4–8) before surgical treatment to 9.2 (6–10) afterwards. The AOFAS score increased from a pre-operative mean value of 66.5 (40–95) to a post-operative mean value of 94 (88–100) and the Halasi scale from a pre-injury mean value of 4.3 (2–8) to 4.5 post-operatively (2–8). The mean Karlsson–Peterson ankle instability score increased from 71 (40–90) pre-operatively to 87.9 (70–90) post-operatively. During this period of follow up, the procedure survival rate was 95.7%, with two cases of recurrence of ankle sprain post-operatively after twelve months in one case and forty months in the other case. Conclusions: The described technique of reconstruction of the anterior talofibular and calcaneofibular ligament with a minimally invasive approach with a semitendinosus autograft is a viable treatment option for chronic ankle instability and enables the majority of patients to regain their activity and sport level with a low recurrence rate at a mid-term follow up. [ABSTRACT FROM AUTHOR]

Purpose: Adolescence is a period of transition from childhood to adulthood where people are vulnerable to stress. The COVID-19 pandemic continues to cause sustained stress in the population. Since the COVID-19 pandemic, social isolation and loneliness have increased. Loneliness is associated with increased stress, psychological distress, and a higher risk of mental illnesses, such as depression. This study examined the association between loneliness, premenstrual symptoms, and other factors in the era of the COVID-19 pandemic among adolescent females in Japan. Patients and Methods: A school-based cross-sectional survey of 1450 adolescent female students in Japan was conducted in mid-December of 2021. Specifically, paper-based questionnaires were distributed in class, and the responses were collected. The Premenstrual Symptoms Questionnaire (PSQ), 6-item Kessler Psychological Distress Scale, 3-item Revised UCLA Loneliness Scale (R-UCLA), and Fear of COVID-19 Scale were used as measurement tools. The prevalence of loneliness was defined as a total R-UCLA score ≥ 6. Results: The prevalence of loneliness was 29.0%. The prevalence of serious psychological distress was also high (8.2%), especially in the lonely group (16.0%). Multivariable regression analysis identified the following factors associated with loneliness: second year (odds ratio [OR] 1.53; 95% confidence interval [CI] 1.09– 2.14), longer internet use (OR, 1.11; 95% CI, 1.02– 1.20), total PSQ score (OR 1.08; 95% CI 1.06– 1.11), and psychological distress (OR 1.05; 95% CI 1.01– 1.08). Conclusion: Adolescent females in Japan showed a high prevalence of loneliness. School year (2nd year), longer periods of internet use, premenstrual symptom severity, and psychological distress were independently associated with loneliness. For clinicians and school health professionals, special concern should be given to the psychological health of adolescent females during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The 2022 John Bates Clark Medal of the American Economic Association was awarded to Oleg Itskhoki, Professor of Economics at the University of California, Los Angeles for his path breaking contributions in international economics. This article summarizes Oleg Itskhoki's work and places it in the context of the broader literature and emphasizes how it has shed new light on a number of long-standing puzzles regarding the behavior of exchange rates and international relative prices more generally and their connection to macroeconomic fluctuations and government's choices of monetary and fiscal policies. [ABSTRACT FROM AUTHOR]

Purpose: In order to control the corona virus disease-2019 (COVID-19) pandemic, many countries have adopted social quarantine policies, with older adults in Wuhan suffering the longest and most severe conditions. But few studies have explored the impact of this on the mental health of older adults in Wuhan. The purpose of this paper is to examine changes in the residential status and mental health of this group when 1 year after the social isolation policies in Wuhan.Method: A cross-sectional study with convenience sampling was conducted to assess the questionnaire of older adults in a total of 21 streets in 5 central and 2 distant urban districts of Wuhan. Using a self-compiled living status questionnaire, the Patient Health Questionnaire-9, the General Anxiety Disorder-7, the PTSD Checklist-Civilian Version, the UCLA Loneliness Scale and the Social Support Rating Scale, our survey evaluated the living status, depression, anxiety, post-traumatic stress symptoms, loneliness and social support of all the participants.Results: A total of 400 valid samples were obtained. One year after experiencing social isolation, older adults had not changed much from their pre-epidemic living status and mostly lived with their partners. They had satisfactory social support (33.86 ± 6.92) and low levels of depression (3.12 ± 4.30), anxiety (1.52 ± 3.19) and post-traumatic stress symptoms (21.41 ± 7.39), but there were moderate levels of loneliness (38.27 ± 9.31). Among them, depression, anxiety and post-traumatic stress symptoms were significantly higher (ps < 0.05) in older adults who were COVID-19 close contacts while experiencing social isolation.Conclusion: One year after experiencing Wuhan's harsh social isolation, older adults in the Wuhan community did not experience significant symptoms of depression, anxiety or post-traumatic stress, but loneliness has increased and the mental health of older adults who were COVID-19 close contacts needs attention. [ABSTRACT FROM AUTHOR]

Spectrogram analysis is a vital skill for learning speech acoustics. Spectrograms are necessary for visualizing cause-effect relationships between speech articulator movements and the resulting sound produced. However, many interpretation techniques needed to read spectrograms are counterintuitive to engineering students who have been taught to use more rigid mathematical formulas. As a result, spectrogram reading is often challenging for these students who do not have prior background in acoustic phonetics. In this paper, a structured, inclusive framework for teaching spectrogram reading to students of engineering backgrounds is presented. Findings from the implementation of these teaching methods in undergraduate and graduate engineering courses at University of California, Los Angeles are also unveiled. [ABSTRACT FROM AUTHOR]

Skeleton-based action recognition is a research hotspot in the field of computer vision. Currently, the mainstream method is based on Graph Convolutional Networks (GCNs). Although there are many advantages of GCNs, GCNs mainly rely on graph topologies to draw dependencies between the joints, which are limited in capturing long-distance dependencies. Meanwhile, Transformer-based methods have been applied to skeleton-based action recognition because they effectively capture long-distance dependencies. However, existing Transformer-based methods lose the inherent connection information of human skeleton joints because they do not yet focus on initial graph structure information. This paper aims to improve the accuracy of skeleton-based action recognition. Therefore, a Graph Skeleton Transformer network (GSTN) for action recognition is proposed, which is based on Transformer architecture to extract global features, while using undirected graph information represented by the symmetric matrix to extract local features. Two encodings are utilized in feature processing to improve joints' semantic and centrality features. In the process of multi-stream fusion strategies, a grid-search-based method is used to assign weights to each input stream to optimize the fusion results. We tested our method using three action recognition datasets: NTU RGB+D 60, NTU RGB+D 120, and NW-UCLA. The experimental results show that our model's accuracy is comparable to state-of-the-art approaches. [ABSTRACT FROM AUTHOR]

Skeleton-based action recognition is widely used in varied areas, e.g., surveillance and human-machine interaction. Existing models are mainly learned in a supervised manner, thus heavily depending on large-scale labeled data, which could be infeasible when labels are prohibitively expensive. In this paper, we propose a novel Contrast-Reconstruction Representation Learning network (CRRL) that simultaneously captures postures and motion dynamics for unsupervised skeleton-based action recognition. It consists of three parts: Sequence Reconstructor (SER), Contrastive Motion Learner (CML), and Information Fuser (INF). SER learns representation from skeleton coordinate sequence via reconstruction. However the learned representation tends to focus on trivial postural coordinates and be hesitant in motion learning. To enhance the learning of motions, CML performs contrastive learning between the representation learned from coordinate sequences and additional velocity sequences, respectively. Finally, in the INF module, we explore varied strategies to combine SER and CML, and propose to couple postures and motions via a knowledge-distillation based fusion strategy which transfers the motion learning from CML to SER. Experimental results on several benchmarks, i.e., NTU RGB+D 60/120, PKU-MMD, CMU, and NW-UCLA, demonstrate the promise of the our method by outperforming state-of-the-art approaches. [ABSTRACT FROM AUTHOR]

Loneliness and social isolation are subjective measures associated with the feeling of discomfort and distress. Various factors associated with the feeling of loneliness or social isolation are: the built environment, long-term illnesses, the presence of disabilities or health problems, etc. One of the most important aspect which could impact feelings of loneliness is mobility. In this paper, we present a machine-learning based approach to classify the user loneliness levels using their indoor and outdoor mobility patterns. User mobility data has been collected based on indoor and outdoor sensors carried on by volunteers frequenting an elderly nursing house in Tampere region, Finland. The data was collected using Pozyx sensor for indoor data and Pico minifinder sensor for outdoor data. Mobility patterns such as the distance traveled indoors and outdoors, indoor and outdoor estimated speed, and frequently visited clusters were the most relevant features for classifying the user's perceived loneliness levels.Three types of data used for classification task were indoor data, outdoor data and combined indoor-outdoor data. Indoor data consisted of indoor mobility data and statistical features from accelerometer data, outdoor data consisted of outdoor mobility data and other parameters such as speed recorded from sensors and course of a person whereas combined indoor-outdoor data had common mobility features from both indoor and outdoor data. We found that the machine-learning model based on XGBoost algorithm achieved the highest performance with accuracy between 90 % and 98 % for indoor, outdoor, and combined indoor-outdoor data. We also found that Lubben-scale based labelling of perceived loneliness works better for both indoor and outdoor data, whereas UCLA scale-based labelling works better with combined indoor-outdoor data. [ABSTRACT FROM AUTHOR]

Magnetic resonance imaging (MRI) is one of the most powerful imaging modality in clinics and is essential for the diagnosis of strokes through carotid artery imaging. The limiting factor for high-quality MRI is the signal-to-noise ratio (SNR) performance of the radio frequency (RF) coils. The current RF surface coils, however, are made of rigid or semiflexible materials with very limited bending properties. As a result, their SNR is limited because they cannot be placed very close to the imaging area, thus receiving noises from parts of the human body, which are not intended to be imaged. Taking advantage of the computerized embroidery and laser cutting technology, in this paper, we utilize electrotextile to design, fabricate, and measure multilayer RF coil array system for 3 Tesla (3T) MRI to improve the SNR performance. The proposed RF coil array system provides an ergonomic and high-performance solution to the 3T MRI systems. A roadmap to systematically design electrotextile RF coil arrays is proposed. RF coil array is characterized to have the accurate resonant frequency, good impedance matching, and low mutual coupling. In addition, magnetic field distribution, bending effects, and human body effects are also discussed. A systematic method to characterize the performance of the electrotextile pattern is studied and used to assist the development and performance characterization. Finally, the high resolution and high SNR images of various kinds of phantoms are obtained using the University of California at Los Angeles (UCLA) Antenna Lab electrotextile coil array after its integration with the 3T MRI scanners at UCLA David Geffen School of Medicine Translational Research Imaging Center. Compared with the conventional surface coil, more than 10 dB SNR increase is observed at the depth of 0.5 cm and 3 dB increase at the depth of 3 cm. [ABSTRACT FROM AUTHOR]

There are two central parts in multiple attribute decision making (MADM), which are weight assignment and attribute selection. However, attribute selection is usually ignored in the existing researches, which will result in the difficulty of knowledge acquisition and the error of decision making. In addition, with respect to the data set with labels, the existing methods of weight assignment usually neglect or do not take full advantage of the supervisory function of labels, which may also lead to some decision making mistakes. To make up for these deficiencies, this paper proposes a method for knowledge acquisition and decision making based on Bayes risk minimization. In this method, a novel Bayes risk model based on neighborhood and Gaussian kernel is raised, and a heuristic forward greedy algorithm is designed for attribute selection. Finally, a number of experiments, including the comparison experiments on University of California Irvine (UCI) data and the effectiveness evaluation of fighter, are carried out to illustrate the superiority and applicability of the proposed method. [ABSTRACT FROM AUTHOR]

Aim/Goal/Purpose: Population surveys underrepresent people with severe mental ill health. This paper aims to use multiple regression analyses to explore perceived social support, loneliness and factor associations from self-report survey data collected during the Covid-19 pandemic in a sample of individuals with severe mental ill health. Design/Methodology/Approach: We sampled an already existing cohort of people with severe mental ill health. Researchers contacted participants by phone or by post to invite them to take part in a survey about how the pandemic restrictions had impacted health, Covid-19 experiences, perceived social support, employment and loneliness. Loneliness was measured by the three item UCLA loneliness scale. Findings: In the pandemic sub-cohort, 367 adults with a severe mental ill health diagnosis completed a remote survey. 29–34% of participants reported being lonely. Loneliness was associated with being younger in age (adjusted OR = -.98, p =.02), living alone (adjusted OR = 2.04, p =.01), high levels of social and economic deprivation (adjusted OR = 2.49, p =.04), and lower perceived social support (B = -5.86, p <.001). Living alone was associated with lower perceived social support. Being lonely was associated with a self-reported deterioration in mental health during the pandemic (adjusted OR = 3.46, 95%CI 2.03–5.91). Practical implications: Intervention strategies to tackle loneliness in the severe mental ill health population are needed. Further research is needed to follow-up the severe mental ill health population after pandemic restrictions are lifted to understand perceived social support and loneliness trends. Originality: Loneliness was a substantial problem for the severe mental ill health population before the Covid-19 pandemic but there is limited evidence to understand perceived social support and loneliness trends during the pandemic. [ABSTRACT FROM AUTHOR]

Numerous students suffer from academic procrastination; it is a common problem and phenomenon in academic settings. Many previous researchers have analyzed its relationships with other factors, such as self-regulation and academic success. This paper aims to provide a full outline of academic procrastination and explore the current hot spots and trends. Bibliometrix and VOSviewer were used to conduct quantitative analysis. The data was collected from the Web of Science core collection database, which contains 1,240 articles from the years 1938 to 2021. The analysis shows that the publication of articles on academic procrastination has been rapidly increasing since 1993. In terms of the most influential countries and institutions, the United states took a prominent lead among all countries, and the most productive institutions in this area were the University of Washington and University of California, Los Angeles. By analyzing the authors, we see that most authors like working with a few collaborators, leading to main groups of authors, such as Murat Balkis and June J. Pilcher. The most frequently cited author was Esther D. Rothblum. Based on the co-citation journals network, Personality and Individual Differences was the prolific and influential journal referring to the number of citations and articles it received. The VOSviewer tool identified the hot spots of academic procrastination, which were mainly distributed as follows: (a) procrastination, (b) academic procrastination, (c) self-regulation, (d) academic performance, and (e) motivation. Therefore, this paper is helpful for scholars and practitioners to know the trend of academic procrastination research comprehensively. [ABSTRACT FROM AUTHOR]

Content-sharing social network platforms rely heavily on user-generated content to attract users and advertisers, but they have limited authority over content provision. We develop an intervention that leverages social interactions between users to stimulate content production. We study social nudges, whereby users connected with a content provider on a platform encourage that provider to supply more content. We conducted a randomized field experiment (N = 993 , 676) on a video-sharing social network platform where treatment providers could receive messages from other users encouraging them to produce more, but control providers could not. We find that social nudges not only immediately boosted video supply by 13.21% without changing video quality but also, increased the number of nudges providers sent to others by 15.57%. Such production-boosting and diffusion effects, although declining over time, lasted beyond the day of receiving nudges and were amplified when nudge senders and recipients had stronger ties. We replicate these results in a second experiment. To estimate the overall production boost over the entire network and guide platforms to utilize social nudges, we combine the experimental data with a social network model that captures the diffusion and over-time effects of social nudges. We showcase the importance of considering the network effects when estimating the impact of social nudges and optimizing platform operations regarding social nudges. Our research highlights the value of leveraging co-user influence for platforms and provides guidance for future research to incorporate the diffusion of an intervention into the estimation of its impacts within a social network. This paper was accepted by Victor Martínez-de-Albéniz, operations management. Funding: H. Dai thanks the University of California, Los Angeles (UCLA) [Hellman Fellowship and Faculty Development Award] for funding support. R. Zhang is grateful for financial support from the Hong Kong Research Grants Council [Grant 16505418]. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2022.4622. [ABSTRACT FROM AUTHOR]

Background: Total hip (THR) and total knee replacements (TKR) are two highly successful orthopaedic procedures that reduce pain for people with osteoarthritis. Previous evidence suggests that physical activity, at best, remains the same pre- to post-operatively, and in some instances declines. The PEP-TALK trial evaluates the effects of a group-based, behaviour change intervention on physical activity following a THR or TKR.Methods: PEP-TALK is an open, phase III, pragmatic, multi-centre, parallel, two-arm, two-way superiority randomised controlled trial investigating the effectiveness of usual care plus a behaviour change therapy compared with usual care alone following primary THR or TKR. The primary outcome is the UCLA Activity Score at 12 months post-randomisation which will be analysed using a linear mixed effects model. Secondary outcomes measured at 6 months and 12 months after randomisation include the UCLA Activity Score, Lower Extremity Functional Scale, Oxford Hip/Knee Score, Numerical Rating Scale for Pain, Generalised Self-Efficacy Scale, Tampa Scale for Kinesiophobia, Hospital Anxiety and Depression Scale, EuroQoL EQ-5D-5L index and EQ-VAS and complications or adverse events. Full details of the planned analysis approaches for the primary and secondary outcomes, as well as the planned sensitivity analyses to be undertaken due to the COVID-19 pandemic, are described here. The PEP-TALK study protocol has been published previously.Discussion: This paper provides details of the planned statistical analyses for the PEP-TALK trial. This is aimed to reduce the risk of outcome reporting bias and enhance transparency in reporting.Trial Registration: International Standard Randomised Controlled Trials database, ISRCTN Number: 29770908 . Registered on October 2018. [ABSTRACT FROM AUTHOR]

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In this paper, we investigate the direction of arrival (DOA) estimation problem with unfolded coprime linear array (UCLA) and propose a low computational complexity signal-subspace fitting (SF) algorithm. SF algorithm is able to achieve excellent DOA estimation performance while it requires global angular search (GAS). Especially in the several source signals situation, expensive complexity cost causes. To decrease computational complexity, we propose an initialized based SF (ISF) algorithm, which involves the several one dimensional (1D) partial angular search (PAS) instead of the multidimensional GAS. Consequently, the complexity is significantly decreased. Due to the full utilization of the array aperture, the proposed method in UCLA can attain better performance than general CLA (GCLA). In addition, as the SF is attractive in practical application, the proposed ISF algorithm lowers the computational cost, while achieving almost approximate estimation performance as traditional SF and noise subspace fitting (NF). Moreover, numerical simulations are provided and verify the effectiveness and the superiority of the proposed algorithm for the UCLA. [ABSTRACT FROM AUTHOR]

The article profiles Uday S. Karmarkar, Los Angeles (LA) Times professor of Technology and Management Strategy at the Anderson Graduate School of Management at University of California, Los Angeles (UCLA). It states that Uday has accomplished 75 papers with more than 3000 citations including "Lot sizes, lead times and in-process inventories" in 1987. Moreover, it stresses the contributions of Uday in developing Operations Management (OM).

In the context of implementing the He-cooled breeding blanket system for a fusion reactor, several crucial aspects need consideration. Among these, the development of a tritium transport model plays a pivotal role in ensuring safety and effective design. Given that tritium release into the environment from the breeding blanket system poses a radioactive risk, accurate calculation and prediction area essential to prevent potential incidents in a fusion reactor. To address this challenge, a collaborative effort between the Korea Institute of Fusion Energy (KFE) and the University of California, Los Angeles (UCLA) resulted in the creation of THETA-FR (Tritium/Hydrogen Enhanced dynamic Transport Analysis Tool for Fusion Reactor). THETA-FR is an integrated analysis tool that combines Matlab Simulink and COMSOL Multiphysics. Its purpose is to model and predict the dynamic transport phenomena of H isotopes (H/D/T) within the breeding blanket system. Specifically, THETA-FR focuses on transient tritium retention, permeation, and release amounts from the breeding blanket system into the environment. In this paper, we introduce the integrated system and components of THETA-FR, shedding light on various tritium behaviors within the HCCP breeding blanket FW/BU component. By leveraging THETA-FR, researchers and engineers can make informed decisions regarding tritium control and safety in fusion reactors. [ABSTRACT FROM AUTHOR]

Background: Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder with a significant impact on the quality of life of affected patients. This study aimed to correlate serum inflammatory markers with specific tools assessing quality of life, emotional well-being, and loneliness, such as the Dermatology Life Quality Index (DLQI), Hospital Anxiety and Depression Scale (HADS), and the UCLA Loneliness Scale. Methods: A pilot observational study including 37 patients with HS was conducted. Inflammatory serum markers, including C-reactive protein (CRP) and Erythrocyte Sedimentation Rate (ESR), were evaluated at baseline, 3 months, and 6 months later. Psychometric scores were also evaluated at the same study intervals. Results: DLQI was correlated with ESR at baseline (Spearman's rho = 0.35, p = 0.03), indicating that poorer quality of life is associated with changes in this serum marker. Disease activity, as reflected by inflammatory markers, was associated with significant psychological burden. Specifically, a worse DLQI score was associated with higher ESR (estimate β = 0.14, 95% confidence interval [CI]: 0.05–0.22; p = 0.001) and higher CRP level (estimate β = 0.25, 95% CI: 0.02–0.48; p = 0.02). Similarly, a worse UCLA score was associated with higher ESR (estimate β = 0.11, 95% CI: 0.02–0.20, p = 0.01). Conclusions: Our study results underline the close relation between systemic inflammatory markers and clinical severity together with psychological burden in HS patients, as indicated by the significant association that was revealed between ESR/CRP and poorer psychometric scores. However, further research is warranted to validate these findings. [ABSTRACT FROM AUTHOR]

The purpose of this paper was to explore the relationship between social connectedness, loneliness, interpersonal support, and hopelessness among adults. 500 adults of age 18-60+ years participated in the current study. The sample was selected by the purposive sampling method. Data was collected using Social Connectedness Scale -Original (Lee & Robbins, 1995), UCLA Loneliness Scale -Version 3 (Russell & Cutrona, 1996), Lubben Social Network scale-Revised (Lubben, 2002), and Depression Hopelessness Scale (Mills and Kroner, 2003). Psychometric properties of the scales revealed satisfactory reliability for the study sample. The Pearson product-moment correlation analysis indicated that interpersonal support was found to be significantly positively correlated with social connectedness and both of them negatively correlated with hopelessness and loneliness whereas less interpersonal support significantly predicted more hopelessness among adults. Results also indicated that males had more interpersonal support and social connectedness than females. [ABSTRACT FROM AUTHOR]

Background: Colon capsule endoscopy (CCE) has gained momentum as an alternative modality for the investigation of the lower gastrointestinal tract. Of the few challenges that remain, the comparison and – eventually – matching of polyps at different timestamps leads to the potential for double reporting and can contribute to false-positive findings and inaccuracies. With the impending artificial intelligence integration, the risk of double reporting the same polyp due to the lack of information on spatial orientation underscores the necessity for establishing criteria for polyp matching. Objectives: This RAND/University of California, Los Angeles (modified Delphi) process aims to identify the key factors or components used to match polyps within a CCE video. This involves exploring the attributes of each factor to create comprehensive polyp-matching criteria based on international expert consensus. Design: A systematic qualitative study using surveys. Methods: A panel of 11 international CCE experts convened to assess a survey comprised of 60 statements. Participants anonymously rated statement appropriateness on a 1–9 scale (1–3: inappropriate, 4–6: uncertain and 7–9: appropriate). Following a virtual group discussion of the Round 1 results, a Round 2 survey was developed and completed before the final analysis. Results: The factors that were agreed to be essential for polyp matching include (1) timestamp, (2) polyp localization, (3) polyp vascular pattern, (4) polyp size, (5) time interval of the polyp appearance between the green and yellow camera, (6) surrounding tissue, (7) polyp morphology and (8) polyp surface and contour. When five or more factors are satisfied, it was agreed that the comparing polyps are likely the same polyp. Conclusion: This study has established the first complete criteria for polyp matching in CCE. While it might not provide a definitive solution for matching difficult, small and common polyps, these criteria serve as a framework to guide and facilitate the process of polyp-matching. Plain language summary: Creating criteria and standards for matching polyps (abnormal growth in the bowels) on colon capsule video analysis: an international expert agreement using the RAND (modified Delphi process) process Background: Doctors often use colon capsule endoscopy (CCE), a high-tech capsule with two cameras, to record and check for diseases in the small and large bowels as the capsule travels through the intestines. One of the most common conditions in the large bowel is polyps, which are abnormal growths in the lining of the bowel. Comparing and matching polyps in the same video from the capsule can be tricky as they look very similar, leading to the possibility of incorrectly reporting the same polyp twice or more. This can lead to wrong results and inaccuracies. The literature did not have any criteria or standards for matching polyps in CCE before. Aim: Using the RAND/UCLA (modified Delphi) process, this study aims to identify the key factors or components used to match polyps within a CCE video. The goal is to explore each factor and create complete criteria for polyp matching based on the agreement from international experts. Method: A group of 11 international CCE experts came together to evaluate a survey with 60 statements. They anonymously rated each statement on a scale from 1 to 9 (1-3: inappropriate, 4-6: uncertain, and 7-9: appropriate). After discussing the Round 1 results virtually, a Round 2 survey with the same but revised questions was created and completed before the final analysis of their agreement. Results: The main factors for matching polyps are 1) the timing when the polyp was seen, 2) where it is in the bowel, 3) its blood vessel pattern, 4) size, 5) the timing of its appearance between cameras, 6) surrounding tissue features, 7) its shape, and 8) surface features. If five or more of these factors match, the compared polyps are likely the same. Conclusion: This study establishes the first complete criteria for matching polyps in CCE. While it may not provide a definitive solution for matching challenging and small polyps, these criteria serve as a guide to help and make the process of polyp matching easier. [ABSTRACT FROM AUTHOR]

In South Korea, the proportion of adults experiencing severe loneliness has been increasing rapidly. Accordingly, this study examines the elements of loneliness experienced by Korean adults and investigates their structural relevance using concept mapping. Korean adults (47) were recruited for individual in-depth interviews based on their scores on the UCLA Loneliness Scale. The interviews yielded 80 unique statements, which were then evaluated using multidimensional scaling and a hierarchical cluster analysis. A cluster map of loneliness was derived, with three clusters: (1) emotional distress due to the actual or anticipated absence of connection in relationships, (2) emotional distance from oneself or from others in a relationship, and (3) powerlessness and emptiness due to being directionless. Two dimensions distinguished these clusters: the lack of a sense of connection or self-assurance, and an inward or outward focus. These findings reveal that loneliness encompasses more than unmet relational needs; it also involves self-attentional focus, indicating a need to reconceptualize the notion of loneliness. The study's implications extend to counseling theory and practices by highlighting the importance of addressing both relational connections and self-perceptions in interventions for loneliness. By expanding the understanding of loneliness through empirical data, this research provides a more comprehensive framework for addressing loneliness. [ABSTRACT FROM AUTHOR]

Introduction: Loneliness in Japan, accentuated by demographic challenges and the hikikomori phenomenon (extreme social withdrawal), has raised concerns. This study critically examines loneliness dynamics, questioning assumptions embedded in hikikomori classifications. The term "hikikomori," originally signifying prolonged home stay, requires nuanced exploration, especially regarding outgoing behaviors' relationship with loneliness. Objectives: Investigating the intricate connection between outgoing behaviors and loneliness, this study questions the effectiveness of existing hikikomori classifications. Aiming to understand if these classifications accurately represent the loneliness spectrum across age groups, the research emphasizes the significance of comprehending loneliness dynamics amid societal challenges. The study explores an array of factors influencing loneliness, including demographics, mental health, and outgoing behaviors, advocating for a reassessment of assumptions linked to hikikomori classifications. Methods: This secondary analysis employed data from a nationwide Internet addiction survey conducted in July 2012. A sample of 623 participants, representative of Japanese internet users aged 16 and above, was included for analysis. Loneliness was assessed using the UCLA Loneliness Scale, and exposure variables included demographic, mental health, outgoing behaviors, and lifestyle factors. Statistical analyses encompassed descriptive statistics, one-way ANOVA, chi-square tests, and logistic regression. Results: Significant differences were observed in loneliness scores based on sex, age, marital status, employment, and outgoing behaviors. Mental health factors, including dissatisfaction with life and romance, life stress, and psychological distress, emerged as strong contributors to loneliness. The study challenges existing hikikomori classifications, suggesting they may not fully encapsulate the loneliness experiences of individuals engaged in routine school or work activities. Conclusion: Findings underscore the need for a reevaluation of hikikomori, emphasizing loneliness as a complex and multifaceted issue in Japan. The study advocates for nuanced strategies to address loneliness, considering diverse demographic vulnerabilities. Limitations include the pre-pandemic sample and potential unmeasured confounding factors. [ABSTRACT FROM AUTHOR]

Background: In cases of adolescent and early adulthood eating disorders, despite the importance of the patients' relationship with their parents, conflict and confusion frequently occur among them. Interpersonal psychotherapy (IPT) is a present-focused psychotherapy that emphasizes the interpersonal context of symptoms. We developed a remote family education and support program exclusively for parents of patients with eating disorders, based on the principle of IPT. The use of IPT is expected to reduce conflicts in the patient-parent relationship. Consequently, parents will be better able to listen to patients, and patients will be better able to express their thoughts and desires. In this study, we describe the protocol for a randomized controlled trial designed to examine the effectiveness of this program in promoting effective communication in their home based on active listening skills of parents of patients with adolescent and early adulthood eating disorders. Methods: Participants will be parents of patients aged 12–29 years with adolescent and early adulthood eating disorders. Individually randomized, parallel-group trial design will be employed. Seventy participants will be allocated to one of two treatment conditions: (1) remote family education and support program (four, 150 min weekly group sessions) for parents plus treatment-as-usual for patients (consultation by physicians or no treatment), or (2) waiting for the control condition (parents will wait to start the program for 8 weeks) plus treatment-as-usual for patients. The primary outcome measure will be parents' active listening ability as measured by the Active Listening Attitude Scale at 8 weeks after randomization. Additionally, perception of social support (Social Provision Scale-10 item), loneliness (UCLA Loneliness Scale), mental health status (K6), family function (Family Assessment Device), and parent-evaluated eating disorder symptoms (Anorectic Behavior Observation Scale) will be assessed. Data from the intention-to-treat sample will be analyzed 8 weeks after randomization. Discussion: This is the first study to evaluate the effectiveness of a family education and support program for parents of patients with adolescent and early adulthood eating disorders based on IPT. If this type of intervention is effective, although indirect, it could be a new support method for this patient population. Trial registration: Clinical Trials. gov ID NCT05840614. Plain English summary: For patients with adolescent and early adulthood eating disorders, although the relationship with their parents is an important interpersonal dynamic, conflicts and confusion often arise between patients and their parents. On the other hand, parents who live with individuals with eating disorders are frequently involved in interpersonal disputes, leading to a heavy psychological burden and elevated levels of depression and anxiety. It has been found that highly depressed or anxious parents tend to have difficulty listening carefully to their patients. Additionally, parental anxiety often promotes an overprotective response. Interpersonal psychotherapy (IPT) is a present-focused psychotherapy that emphasizes the interpersonal context of symptoms. In IPT, the patient and therapist work within interpersonal therapeutic domains, such as interpersonal role disputes with different expectations and role transitions. We developed a remote family education and support program exclusively for parents of patients with eating disorders based on IPT principles. In the present study, we describe the protocol for a randomized controlled trial designed to examine the effectiveness of this program in promoting effective communication within their homes, focusing on the active listening skills of parents of patients with adolescent and early adulthood eating disorders. [ABSTRACT FROM AUTHOR]

Background: Rotator cuff injury (RCI) is a common musculoskeletal ailment and a major cause of shoulder pain and limited functionality. The ensuing pain and restricted movement significantly impact overall quality of life. This study aims to systematically review the effects of extracorporeal shock wave therapy (ESWT) on RCI. Methods: This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. A literature search, spanning inception to November 1, 2023, will include databases such as PubMed, Web of Science, the Cochrane Library, Scopus, MEDLINE, EMBASE, EBSCO, and China National Knowledge Infrastructure (CNKI) to identify ESWT studies for RCI treatment. Excluding retrospectives, bias risk will be assessed with the Cochrane tool. Two researchers will independently screen, extract data, and evaluate bias risk. Revman 5.3 software will be used for data analysis. Results: This study aims to objectively and comprehensively evaluate the effectiveness and safety of randomized controlled trials of ESWT in the treatment of RCI, and analyze in detail the effect of ESWT in the treatment of RCI. Results will be analyzed using the Pain Visual Analogue Scale (VAS), Constant-Murley score, University of California Los Angeles score (UCLA), and American Shoulder and Elbow Surgeons form (ASES). If applicable, subgroup analysis will also be performed to divide patients into groups according to the energy level of ESWT, the time of intervention, and the degree of tearing of RCI. Finally, the results are submitted for publication in a peer-reviewed journal. Discussion and conclusion: There is existing evidence suggesting that ESWT may contribute to the amelioration of pain and functional limitations associated with Rotator Cuff Injury (RCI). This systematic review aims to update, consolidate, and critically evaluate relevant evidence on the effects of ESWT for RCI. The anticipated outcomes may serve as a valuable reference for clinical ESWT practices, covering treatment methods, timing, and intensity. Moreover, this review aspires to provide high-quality evidence addressing the impact of ESWT on RCI-related pain. Simultaneously, the findings of this systematic review are poised to offer guidance to clinicians and rehabilitation therapists. This guidance is intended to enhance the management of pain and functional impairments experienced by individuals with RCI, ultimately leading to improvements in their physical well-being. Trial registration: Protocol registration numberCRD42023441407. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023441407. [ABSTRACT FROM AUTHOR]

Objective: To compare the clinical outcomes of a modified arthroscopic triple‐row (TR) repair technique with the suture bridge (SB) repair technique in treating L‐shaped delaminated rotator cuff tears. Various surgical techniques for L‐shaped delaminated rotator cuff tears have been reported, many of which aid in increasing the contact area and pressure of the rotator cuff. However, there is still debate over which technique yields superior results. Methods: From January 2017 to March 2020, 61 cases of L‐shaped delaminated rotator cuff tears were included in this study. Of these, 34 cases underwent the modified arthroscopic triple‐row repair technique, while 27 cases were addressed with the suture bridge repair technique. Functional assessment was conducted using the American Shoulder and Elbow Surgeons (ASES) score, the University of California Los Angeles (UCLA) shoulder score, the Constant score (CS), and the visual analogue scale (VAS) score. Magnetic Resonance Imaging (MRI) assessments for rotator cuff healing were performed at the 24‐month postoperative mark. Statistical evaluations were conducted using SPSS for Windows (Version 25.0, IBM, Armonk, NY, USA), employing the Wilcoxon signed‐rank test to compare preoperative and postoperative data and ROM differences, and the Mann–Whitney U test for statistical differences in clinical outcome scores between the two groups. A p‐value of less than 0.05 was considered statistically significant. Results: Comparative analysis of the preoperative and final follow‐up scores revealed a substantial enhancement in shoulder function, as indicated by the ASES, UCLA, CS, and VAS scores, with statistical significance (p < 0.001). At both the preoperative stage and final follow‐up, no notable differences were observed in ASES, UCLA, CS, and VAS scores between the two groups. However, the TR repair group exhibited lower VAS scores than the SB group at 1 and 3 months postoperatively. Active range of motion (ROM) showed significant improvement in both groups. No significant differences in ROM were noted between the two groups either before the surgery or at the final follow‐up. Conclusion: The study demonstrates that both the modified arthroscopic TR and SB techniques for L‐shaped delaminated cuff tears yield satisfactory outcomes, with no significant differences in overall clinical performance. Notably, early postoperative pain management appears more effective with the modified TR technique, suggesting its potential for enhanced early recovery experiences. This technique's design, promoting securer fixation and optimal contact conditions, is implied to facilitate superior long‐term healing, warranting further investigation into its long‐term benefits. [ABSTRACT FROM AUTHOR]

While human activity recognition and pose estimation are closely related, these two issues are usually treated as separate tasks. In this thesis, two-dimension and three-dimension pose estimation is obtained for human activity recognition in a video sequence, and final activity is determined by combining it with an activity algorithm with visual attention. Two problems can be solved efficiently using a single architecture. It is also shown that end-to-end optimization leads to much higher accuracy than separated learning. The proposed architecture can be trained seamlessly with different categories of data. For visual attention, soft visual attention is used, and a multilayer recurrent neural network using long short term memory that can be used both temporally and spatially is used. The image, pose estimated skeleton, and RGB-based activity recognition data are all synthesized to determine the final activity to increase reliability. Visual attention evaluates the model in UCF-11 (Youtube Action), HMDB-51 and Hollywood2 data sets, and analyzes how to focus according to the scene and task the model is performing. Pose estimation and activity recognition are tested and analyzed on MPII, Human3.6M, Penn Action and NTU data sets. Test results are Penn Action 98.9%, NTU 87.9%, and NW-UCLA 88.6%. [ABSTRACT FROM AUTHOR]

The affordability of next-generation genomic sequencing and the improvement of medical data management have contributed largely to the evolution of biological analysis from both a clinical and research perspective. Precision medicine is a response to these advancements that places individuals into better-defined subsets based on shared clinical and genetic features. The identification of personalized diagnosis and treatment options is dependent on the ability to draw insights from large-scale, multi-modal analysis of biomedical datasets. Driven by a real use case, we premise that platforms that support precision medicine analysis should maintain data in their optimal data stores, should support distributed storage and query mechanisms, and should scale as more samples are added to the system. We extended a genomics-based columnar data store, GenomicsDB, for ease of use within a distributed analytics platform for clinical and genomic data integration, known as the ODA framework. The framework supports interaction from an i2b2 plugin as well as a notebook environment. We show that the ODA framework exhibits worst-case linear scaling for array size (storage), import time (data construction), and query time for an increasing number of samples. We go on to show worst-case linear time for both import of clinical data and aggregate query execution time within a distributed environment. This work highlights the integration of a distributed genomic database with a distributed compute environment to support scalable and efficient precision medicine queries from a HIPAA-compliant, cohort system in a real-world setting. The ODA framework is currently deployed in production to support precision medicine exploration and analysis from clinicians and researchers at UCLA David Geffen School of Medicine. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to investigate the utility of the RAND/UCLA appropriateness method (RAM) in validating expert consensus-based multiple-choice questions (MCQs) on electrocardiogram (ECG). Methods: According to the RAM user's manual, nine panelists comprising various experts who routinely handle ECGs were asked to reach a consensus in three phases: a preparatory phase (round 0), an online test phase (round 1), and a face-to-face expert panel meeting (round 2). In round 0, the objectives and future timeline of the study were elucidated to the nine expert panelists with a summary of relevant literature. In round 1, 100 ECG questions prepared by two skilled cardiologists were answered, and the success rate was calculated by dividing the number of correct answers by 9. Furthermore, the questions were stratified into "Appropriate," "Discussion," or "Inappropriate" according to the median score and interquartile range (IQR) of appropriateness rating by nine panelists. In round 2, the validity of the 100 ECG questions was discussed in an expert panel meeting according to the results of round 1 and finally reassessed as "Appropriate," "Candidate," "Revision," and "Defer." Results: In round 1 results, the average success rate of the nine experts was 0.89. Using the median score and IQR, 54 questions were classified as " Discussion." In the expert panel meeting in round 2, 23% of the original 100 questions was ultimately deemed inappropriate, although they had been prepared by two skilled cardiologists. Most of the 46 questions categorized as "Appropriate" using the median score and IQR in round 1 were considered "Appropriate" even after round 2 (44/46, 95.7%). Conclusions: The use of the median score and IQR allowed for a more objective determination of question validity. The RAM may help select appropriate questions, contributing to the preparation of higher-quality tests. [ABSTRACT FROM AUTHOR]

Objective: This study aims to elucidate the complex relationship among social isolation, loneliness, and perception of social isolation and its influence on depressive symptoms by evaluating a hypothetical model. This understanding is essential for the formulation of effective intervention strategies. Methods: We conducted an online survey on Japanese adults (N = 3,315) and used the six-item Lubben Social Network Scale to assess the size of their social networks. We employed a single question to gauge their perception of social isolation. Loneliness was assessed using the three-item UCLA Loneliness Scale, and depressive symptoms were examined using the Patient Health Questionnaire-9. Structural equation modeling was employed to test the hypothesized model. Results: The final model demonstrated satisfactory fit with data (χ2 (1) = 3.73; not significant; RMSEA = 0.03; CFI = 1.00; TLI = 1.00). The size of social network demonstrated a weak negative path to loneliness and depressive symptoms (β = −.13 to −.04). Notably, a strong positive association existed between perception of social isolation and loneliness (β =.66) and depressive symptoms (β =.27). Additionally, a significant positive relationship was found between loneliness and depressive symptoms (β =.40). Mediation analysis indicated that perception of social isolation and loneliness significantly intensified the relationships between social networks and depressive symptoms. Conclusions: Results indicate that interventions of psychological approaches, such as cognitive–behavioral therapy, are effective in reducing the perception of social isolation and loneliness, which may lead to the prevention of depressive symptoms. Future longitudinal studies are expected to refine and strengthen the proposed model. [ABSTRACT FROM AUTHOR]