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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]

Objectives: To define the role of the intensivist in the initiation and management of patients on extracorporeal membrane oxygenation.Design: Retrospective review of the literature and expert consensus.Setting: Series of in-person meetings, conference calls, and emails from January 2018 to March 2019.Subjects: A multidisciplinary, expert Task Force was appointed and assembled by the Society of Critical Care Medicine and the Extracorporeal Life Support Organization. Experts were identified by their respective societies based on reputation, experience, and contribution to the field.Interventions: A MEDLINE search was performed and all members of the Task Force reviewed relevant references, summarizing high-quality evidence when available. Consensus was obtained using a modified Delphi process, with agreement determined by voting using the RAND/UCLA scale, with score ranging from 1 to 9.Measurements and Main Results: The Task Force developed 18 strong and five weak recommendations in five topic areas of extracorporeal membrane oxygenation initiation and management. These recommendations were organized into five areas related to the care of patients on extracorporeal membrane oxygenation: patient selection, management, mitigation of complications, coordination of multidisciplinary care, and communication with surrogate decision-makers. A common theme of the recommendations is extracorporeal membrane oxygenation is best performed by a multidisciplinary team, which intensivists are positioned to engage and lead.Conclusions: The role of the intensivist in the care of patients on extracorporeal membrane oxygenation continues to evolve and grow, especially when knowledge and familiarity of the issues surrounding extracorporeal membrane oxygenation selection, cannulation, and management are applied. [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]

By January 2024, the COVID-19 pandemic claimed more than 1.1 million deaths in the United States (U.S.). People in prison are particularly vulnerable to COVID-19 as they have no ability to socially distance, secure masks, disinfect their environment or have as much access to tests or vaccinations as is available in the community. In addition, many of these individuals reside in crowded conditions with little ventilation, which makes the spread of the virus more likely. In this paper, we used data from two projects, including the UCLA Law COVID Behind Bars Data Project and the COVID Prison Project, and supplemented these with publicly available data to examine the number of deaths and infection rates caused by COVID-19 among people in prison and prison staff in the U.S., as reported by the population of those facilities. We found that the incidence of infections and death rates in prisons were affected by crowding, prison security type (maximum, medium, minimum, or mixed) and level of prison (state or federal). People in prison who were less likely to have as much human contact (e.g., maximum-security prisons) were also less likely to be afflicted with COVID-19. People in prison were twice as likely to be infected by COVID-19 but had a similar death rate compared to the general public. Prison overcrowding increased the infection rate. The most effective state health policy was to quarantine people who had close contact with confirmed, positive cases. Further, state prisons demonstrated a higher death rate compared to federal prisons. Greater efforts to ameliorate COVID-19 and similar pathogens should be directed at state prisons with lower-level security and prisons with closer contact with the community. Quarantining close-contacts and restricting movements were the most effective state-level responses to reduce infections in prisons during April 2020 to April 2022. [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]

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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]

Purpose: This paper aims to explore the protective and risk factors involved in student loneliness after the lockdown measures taken limiting social contact during the COVID-19 pandemic in France. Design/methodology/approach: Using a cross-sectional survey methodology, the authors collected data on a sample of 546 students pursuing management education in a French business school in several campuses. Loneliness was measured by the three-item UCLA loneliness scale. Logistic regression analysis examined the factors influencing student loneliness. Findings: The prevalence of loneliness was 23.4%. Risk factors for loneliness were social isolation especially in terms of intensity and isolation from friends (OR: 5.40), having a regular paid activity (OR: 1.62) and not getting academic help from other students (OR: 2.11) or taking meals alone during the lockdowns (OR: 1.94). Being a male student (OR: 0.47), practicing a sport (OR: 0.64) and studying at a specific campus (OR: 0.43) were protective factors. Practical implications: Understanding protective and risk factors affecting student loneliness helps higher education decision-makers to take the necessary actions to enhance student well-being which have an effect on learning processes. Originality/value: Loneliness is a major public health concern among students. Knowledge of the determinants for loneliness are limited and this article attempts to augment this by exploring several protective and risk indicators of loneliness among French students. [ABSTRACT FROM AUTHOR]

In this paper we present an experimental study of edge turbulence in the Large Plasma Device at UCLA. We utilize a scan of discharge power and prefill pressure (neutral density) to show experimentally that turbulent density fluctuations decrease with decreasing density gradient, as predicted for resistive drift-wave turbulence (RDWT). As expected for RDWT, we observe that the cross-phase between the density and potential fluctuations is close to 0. Moreover, the addition of an electron temperature gradient leads to a reduction in the amplitude of the density fluctuations, as expected for RDWT. However, counter to theoretical expectations, we find that the potential fluctuations do not follow the same trends as the density fluctuations for changes either in density gradients or the addition of a temperature gradient. The disconnect between the density and potential fluctuations is connected to changes in the parallel flows as a result of differences in the prefill pressure, i.e. neutral density. Further analysis of the density and potential fluctuation spectra show that the electron temperature gradient reduces the low frequency fluctuations up to $10 \,{\rm kHz}$ and the introduction of a temperature gradient leads to an unexpected ${\sim }{\rm \pi}$ shift of the density–potential cross-phase at ${\sim }10\,{\rm kHz}$ , while maintaining the typical resistive drift-wave cross-phase at lower frequencies. These experiments partly confirm existing knowledge on resistive drift-wave turbulence, but also introduce new observations that indicate a need for dedicated nonlinear three-dimensional turbulence simulations that include neutrals. [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]

Global-scale properties of Europa's putative ocean, including its depth, thickness, and conductivity, can be established from measurements of the magnetic field on multiple close flybys of the moon at different phases of the synodic and orbital periods such as those planned for the Europa Clipper mission. The Europa Clipper Magnetometer (ECM) has been designed and constructed to provide the required high precision, temporally stable measurements over the range of temperatures and other environmental conditions that will be encountered in the solar wind and at Jupiter. Three low-noise, tri-axial fluxgate sensors provided by the University of California, Los Angeles are controlled by an electronics unit developed at NASA's Jet Propulsion Laboratory. Each fluxgate sensor measures the vector magnetic field over a wide dynamic range (±4000 nT per axis) with a resolution of 8 pT. A rigorous magnetic cleanliness program has been adopted for the spacecraft and its payload. The sensors are mounted far out on an 8.5 m boom to form a configuration that makes it possible to measure the remaining spacecraft field and remove its contribution to data from the outboard sensor. This paper provides details of the magnetometer design, implementation and testing, the ground calibrations and planned calibrations in cruise and in orbit at Jupiter, and the methods to be used to extract Europa's inductive response from the data. Data will be collected at nominal rates of 1 or 16 samples/s and will be processed at UCLA and delivered to the Planetary Data System in a timely manner. [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]

An interview with Theodore E.D. Braun, Emeritus Professor of French at the University of Delaware is presented. Topics discussed include the evolution in programming he noticed at the UCLA meeting in 1972, and 1979 ASECS membership was exploding and the college campuses where the meetings had been held were getting too small to accommodate such a large meeting of scholars.

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]

Purpose: Loneliness is an important issue for mental health service users. However, it has not been a particularly prominent focus of recent mental health research. This paper aimed to explore the severity of loneliness among people leaving mental health community crisis services, and to identify factors associated with loneliness.Methods: A total of 399 participants experiencing mental health crises recruited for a research trial from community crisis services were included in this cross-sectional study. They completed the eight-item measure of the University of California at Los Angeles Loneliness Scale and a set of instruments assessing socio-demographic, psychosocial, and psychiatric variables.Results: Severity of loneliness was high among people leaving community crisis services. Longer years since first contact with mental health services (2-10 years, coefficient = 1.83, 95% CI 0.49-3.16; more than 10 years, coefficient = 1.91, 95% CI 0.46-3.36) and more severe affective symptoms (coefficient = 0.32, 95% CI 0.23-0.40) were associated with greater loneliness, whereas bigger social network size (coefficient = - 0.56, 95% CI - 0.76 to - 0.36) and greater social capital (coefficient = - 0.16, 95% CI - 0.31 to - 0.003) were associated with less severe loneliness.Conclusions: This paper supports a view that people experiencing mental health crises often report relatively severe loneliness, and that loneliness tends to become more severe during the course of illness. A greater awareness of loneliness among mental health professionals may be beneficial. Loneliness is a potential focus of the development of interventions to improve the lives and outcomes of people with significant mental health problems. [ABSTRACT FROM AUTHOR]

Researchers and practitioners of cultural heritage conservation are increasingly aware of the field's impact on the physical and social environment. Faculty at the UCLA/Getty Program in the Conservation of Cultural Heritage are working to support the next generation of researchers and practitioners to become leaders in adapting conservation for the climate crisis and addressing social inequity. This paper presents the first stage of an initiative to develop models for embedding sustainable practices into conservation education and producing scalable curricula for broad dissemination. In this first phase, we performed literature reviews, canvassed the field through surveys, conducted interviews and developed curricula for our laboratories and classrooms. Survey results indicate a high international interest in incorporating sustainability principles in cultural heritage education, but with a corollary challenge of being unable to substitute new concepts for those already taught. Literature reviews and interviews introduced the authors to existing pedagogical approaches for embedding sustainability within our courses. Sustainability concepts such as the Three Pillars of Sustainability, the United Nations Global Sustainable Development Goals (SDG) and the Inform, Engage, Empower and Embed (I3E) systems provide guidance in our teaching. The next phase of the initiative will involve a close evaluation of pedagogical systems for integrating sustainability into the existing curriculum to ensure that emerging professionals in art conservation, built heritage, libraries, archives, archaeology and historic preservation will prioritize intersectional environmentalism. A future goal is to disseminate educational models broadly for adaptation by others. [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]

The manuscript UCLA 170/624 (ff. 75–76) contains Galileo's proof of the center of gravity of the frustum of a cone, which was ultimately published as Theoremata circa centrum gravitatis solidorum in Discorsi e dimostrazioni matematiche intorno a due nuove scienze (Leiden 1638). The UCLA copy opens the possibility of giving a fuller account of Theoremata dating and development, and it can shed light on the origins of this research by the young Galileo. A comparison of the UCLA manuscript with the other extant copies is carried out to propose a new dating for the composition of the Theoremata. This dating will then be reconsidered in light of the mathematical content. The paper ends with a complete description of the content of the UCLA manuscript and the edition of Galileo's text there contained. [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]

Beginning in the 1960s and early seventies, classroom research contributed to understandings and insights concerning the complexities and diversities of teaching. In the late 1990s, classroom research began to also include student voices in the classroom. Socio-cultural theory turned the empirical focus toward student interaction, and methodological development made new insights possible. The impact of this paradigmatic change is still in progress. At the same time, a rapid growth in international comparative classroom studies emerged, where the two most recognized comparative classroom research initiatives have been the TIMSS Video Studies, the first one initiated in 1995 at the University of California, Los Angeles, and the Learner's Perspective Study (LPS), initiated in 1999, at the University of Melbourne's International Center for Classroom Research (ICCR). In this paper, we ask what it takes to carry out successful international classroom research, using the LPS as an example. The analysis shows that the LPS project design made it possible for research groups from different countries and cultures to participate in building a sustainable community of research practice specialized in working with the complexities in the study of teaching and learning in classrooms. Of particular importance was the intense and sustained collaborative work on data, where researchers of varying seniority and experience met and carried out scholarly work in relation to a shared dataset. While also having disadvantages, the heavy emphasis on data was crucial for creating and sustaining a reflexive international research community. [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 is a need to measure and improve the quality of paediatric primary care in Europe where major differences in the delivery and outcomes of child health care exist. A collaborative panel of paediatric senior experts developed a Core Set of Indicators for Paediatric Primary Care in Europe by compiling 42 quality indicators in a modified consensus process following the RAND/UCLA appropriateness method. The aim of this study was to explore the feasibility of the quality indicator set in European paediatric primary care practices. Seventy-nine practices from eight countries participated in a detailed online interview. The practices rated the applicability, relevance, reliability and acceptance of the 42 quality indicator as well as the availability, technical feasibility and effort to retrieve the needed data from their medical records. Most quality indicators were considered applicable, available, reliable, acceptable and relevant for monitoring quality of care in paediatric primary care. Respondents rated feasibility and effort to retrieve the data lowest because of difficulties collecting the data from the medical records.Conclusion: European paediatric primary care practices generally agree with the proposed quality indicator set. They document most of the parameters. However, the collection of specific needed values from available routine patient-data is considered technically difficult and time-consuming. What is Known? • Paediatric primary care systems in Europe show striking differences in their performance. Pre-existing sets of quality indicators are predominantly limited to national populations, specific diseases and hospital care. • A Core Set of 42 quality indicators for paediatric primary care in Europe was developed by European paediatricians using a systematic literature review and a consensus process following a modified RAND/UCLA appropriateness method. What is New? • Paediatric primary care providers in Europe agree with the idea to use COSI-PPC-EU to monitor and improve the quality of care. The set was considered applicable, available, reliable, acceptable, and relevant for quality improvement. • The score for feasibility and effort to retrieve the data was low, because of technical reasons; the electronical or paper-based medical documentation in most cases does not allow convenient access to all necessary data. [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]

On March 3rd, 2016, the authors of this note hosted a conference entitled ‘Destabilized Science’ at the University of California, Los Angeles, to which we invited two representatives of core actors within the new science watchdog pack: Ivan Oransky, co-founder in 2010 of Retraction Watch, and Brandon Stell, co-founder in 2012 of PubPeer. After the formal conference, we organized a roundtable to discuss these invitees’ experience and their vision of contemporary science. Mario Biagioli (University of California, Davis), Michael Chwe (UCLA) and Aaron Panofsky (UCLA) participated to the conversation. An edited transcript of the discussion and a short podcast version are being published on Transmissions (ssstransmissions.org) the new blog associated with Social Studies of Science. [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]

Background: This paper describes a series of activities through which UCLA and Sesame Street collaborated to develop and use oral health resources as part of a children's oral health awareness campaign. Methods: Activities included producing five new Sesame Street oral health videos featuring Muppets, supporting a children's oral health awareness campaign through social media, distributing child and parent educational resources and conducting focus groups of parents, caregivers and oral health professionals to assess their perspectives about children's oral health, messages and strategies. Results: The awareness campaign exceeded each of six preestablished goals, with the social media campaign generating impressive metrics within a month of the release of the fifth video. The five new videos generated over 687,000 views across UCLA's More LA Smiles and Sesame Street websites. Conclusions: Resources developed through the UCLA-Sesame Street collaboration for the children's oral health awareness campaign were accessed by targeted populations at rates that exceeded expectations both during and after the campaign. Practical implications: These new resources are available at no cost via the internet and can contribute to additional efforts aimed at increasing oral health literacy for young children, their parents and caregivers. [ABSTRACT FROM AUTHOR]

This paper is an ofrenda (offering), a testimonio (testimony) of the healing power of reconstituting severed relationships and reconstructing agentic creation stories in the pathology of soul-wounds where pictures and cuentos serve to mend genealogical traumas. This paper is a refusal of neglecting traumas, it is othermotherwork as an invitation of kin towards the healing soul-wounds by engaging my ageing father (apá), who has been battling a debilitating disease for over 30 years. In choosing to erase his memory and refusing well-being, I engage my apá by remembering and restoring cuentos (stories) retrieved from pictures in my abuela's archival orange box. I retell the cuentos as told by my apá of his mother, father, great-grandmother and great-grandfather, while he offers an unexpected remedy for both our soul-wounds. In this exchange of ancestral herstories, it is an important move towards an Indigenous Else, transits beyond borders and separation, towards the restorative act of forging unity, love and compassion amongst my father, my ancestors and myself. [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]

Advanced wireless diagnosis and treatment technologies have recently moved from largely a vision of science fiction to widespread consumer and clinical products. Many research papers are published each year toward the development of antennas and wireless technologies for various body-centered applications. This article presents a representative overview of the concepts, methods, and technologies developed at the University of California, Los Angeles (UCLA) Antenna Lab for advanced personal and biomedical applications. [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]