Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the mental health of siblings of children with a mental disorder: A scoping review protocol

Introduction Mental disorders affect 1 in 5 children having consequences for both the child and their family. Indeed, the siblings of these children are not insulated from these consequences and may experience elevated levels of psychological distress, placing them at increased risk for developing mental disorders. This protocol describes the methodology for a scoping review that will examine how mental disorders in children impact the mental health of their sibling(s). Further, we aim to examine the role of sex, gender, birth order, age of each child, and familial factors (e.g., parent mental illness, family structure), in sibling mental health. The proposed review will also identify resources that aim to support the needs of siblings of children with mental disorders. Taken together, this proposed review aims to take a fundamental step towards determining intervention targets to reduce the transmission of risk between siblings. Aim The proposed scoping review aims to address the following questions: i) how do mental disorders (in children <18 years of age) impact the mental health of their sibling(s) (also <18 years of age)? ii) Can we identify resources designed to address the needs of siblings of children with mental disorders? Methods We will conduct the proposed scoping review in keeping with the six-stage Arksey and O’Malley Framework and the scoping review methodology provided by the Joanna Briggs Institute. In section i) we outline our research questions. In section ii) we describe our process for identifying studies that examine the mental health of siblings of a child with a mental disorder and studies that provide evidence on resources directed specifically at these siblings. We will search peer-review and grey literature published between 2011 and 2022 from OVID MEDLINE, OVID EMBASE, CINAHL Complete, Proquest Nursing and Allied Health, PsycINFO (via APA platform), Proquest Sociology Collection and Web of Science Core Collection and Proquest Theses and Dissertations. Section iii) describes our process for selecting relevant studies. In sections iv and v, we describe our methods for charting and summarizing relevant data. Finally, in section vi) we describe our integrative knowledge translation plan that aims to include knowledge users in interpretating and translating evidence gathered from the proposed review.
Axial Sand-Water Segregation

A novel pattern forming instability in a mixture of a granular material and water in a horizontal rotating drum is experimentally investigated. The particles accumulate in radial symmetric rings separated by pure water. The transition between the homogeneous state and the structured state is hysteretic. The transition point is extrapolated from the growth rates of the chain of rings. The trajectory of a single particle is discussed to estimate an upper boundary for the transition point.
Prognostic factors for surgical outcomes among patients with multilevel cervical spondylotic myelopathy.

OBJECTIVE Many clinical and imaging characteristics can influence the prognosis of multilevel cervical spondylotic myelopathy (M-CSM). This study investigated the factors that influence surgical outcomes among patients with M-CSM. PATIENTS AND METHODS This prospective study included 30 patients who underwent surgical treatment for M-CSM from June 2019 to June 2021. RESULTS The average age was 62.29 years, and the average follow-up time was 13.13 months. Preoperative, postoperative, and follow-up Modified Japanese Orthopaedic Association (mJOA) scores were 10.17, 13.53, and 16.17, respectively. The average postoperative and follow-up recovery rates were 45.46% and 76.69%, respectively. Patients older than 60 years (p = 0.04), male patients (p = 0.023), and smokers (p = 0.027) had lower preoperative mJOA scores than other groups. Patients with symptoms duration longer than 6 months had lower recovery rates (p = 0.021) than those with shorter symptom duration. Patients with intramedullary hyperintensity in ≤ 2 vertebra (p = 0.041) or anterior surgery (p = 0.022) had better postoperative recovery rates than their counterparts. A shorter period of hyperintensity in the intramedullary region on sagittal T2-weighted magnetic resonance imaging (T2W MRI) was significantly associated with faster discharge (p = 0.044). Patients with type 3 (discrete focal) hyperintensity in the intramedullary region on axial T2W MRI had a 6.75-fold increase in experiencing less than 50% postoperative recovery compared with other groups (odds ratio: 6.75, 95% confidence interval: 2.73-16.67). CONCLUSIONS Good prognostic factors for a shorter recovery included hyperintensity in the intramedullary region for ≤ 2 levels, shorter period of hyperintensity in the intramedullary region on sagittal T2W MRI, and an anterior surgical approach. A duration of symptoms longer than 6 months and discrete hyperintensity in the intramedullary region on axial T2W MRI were poor prognostic indicators associated with a longer recovery period.
Toward Certified Robustness of Distance Metric Learning

Metric learning aims to learn a distance metric such that semantically similar instances are pulled together while dissimilar instances are pushed away. Many existing methods consider maximizing or at least constraining a distance margin in the feature space that separates similar and dissimilar pairs of instances to guarantee their generalization ability. In this article, we advocate imposing an adversarial margin in the input space so as to improve the generalization and robustness of metric learning algorithms. We first show that the adversarial margin, defined as the distance between training instances and their closest adversarial examples in the input space, takes account of both the distance margin in the feature space and the correlation between the metric and triplet constraints. Next, to enhance robustness to instance perturbation, we propose to enlarge the adversarial margin through minimizing a derived novel loss function termed the perturbation loss. The proposed loss can be viewed as a data-dependent regularizer and easily plugged into any existing metric learning methods. Finally, we show that the enlarged margin is beneficial to the generalization ability by using the theoretical technique of algorithmic robustness. Experimental results on 16 datasets demonstrate the superiority of the proposed method over existing state-of-the-art methods in both discrimination accuracy and robustness against possible noise.
Chronic disease relapses: A cross-sectional study of the associated factors and socioeconomic inequalities during the COVID-19 pandemic in Peru

Objectives To investigate the prevalence, associated factors and socioeconomic inequalities in chronic disease relapses (CDR) during 2020 in Peru. Methods A secondary analysis was made of the National Household Survey on Living Conditions and Poverty (ENAHO) 2020. Participants older than 18 years who suffered from a chronic disease and with information about the occurrence of a CDR in the last 4 weeks prior to the survey were included. Adjusted prevalence ratios (aPRs) were estimated to determine the associated factors. Socioeconomic inequality in CDR was estimated using concentration curves (CC) and the Erreygers concentration index (ECI). Results Data from 38,662 participants were analyzed; the prevalence of CDR in the last 4 weeks prior to the survey was 16.5% (95% CI: 15.8–17.2). Being female (aPR 1.29; 95% CI: 1.21–1.37), with regards to being male; being 30–39 (aPR 1.22; 95% CI: 1.05–1.42), 40–49 (aPR 1.29; 95% CI: 1.12–1.48), 50–59 (aPR 1.60; 95% CI: 1.41–1.82), and 60 years or older (aPR 1.80; 95% CI: 1.58–2.04), compared to 18–29; reaching up to primary (aPR 1.18; 95% CI: 1.07–1.31), or secondary education (aPR 1.13; 95% CI: 1.02–1.24), in contrast to tertiary education; presenting some physical, psychological or cognitive limitation (aPR 1.33; 95% CI: 1.21–1.46), with respect to experiencing no limitations; and being affiliated to a health insurance (aPR 1.18; CI 95%: 1.09–1.29), opposed to not having health insurance; were associated with a higher probability of CDR. Residing in the natural region of the coastal area (aPR 0.83; 95% CI: 0.74–0.92) was associated with a lower probability of relapse compared to residing in the jungle area. In people with limitations and residents of the jungle areas, the prevalence of CDR was concentrated in those with higher per capita spending. Conclusions Approximately 1 in 6 Peruvians with chronic diseases had a relapse within the last 4 weeks prior to the survey of 2020 and certain geographic and sociodemographic factors were found to be associated with CDR. It was also found that a higher concentration of CDR was observed in the population with the highest per capita spending with some limitations, as well as in residents of the jungle, implying the need for appropriate policy interventions that address CDR with a special focus on these populations.
Association between prehospital recognition of acute myocardial infarction and length of stay in the emergency department

Objective This study aimed to evaluate the association between prehospital recognition of acute myocardial infarction (AMI) and length of stay (LOS) in the emergency department (ED) of emergency medical service (EMS)-transported AMI patients. Methods A multicenter retrospective observational study was conducted using prehospital and hospital data from three tertiary emergency departments. Patients diagnosed with AMI between January 2015 and December 2018 were enrolled. Study groups were categorized according to prehospital recognition and prehospital 12-lead electrocardiography (ECG) into three groups based on an EMS cardiovascular registry: group A, no prehospital recognition (reference group); group B, prehospital recognition without 12-lead ECG; and group C, prehospital recognition with 12-lead ECG. The primary outcome was an ED LOS of less than 4 hours. Results Among 1,237 study participants, 722 (58.4%) were in group A, 325 (26.3%) were in group B, and 190 (15.4%) were in group C. Multivariable logistic regression showed that groups B and C had a higher likelihood of a short ED LOS (adjusted odds ratio [95% confidence interval]: group B, 1.64 [1.21–2.22] and group C, 1.88 [1.30–2.71]) than group A. There was no significant difference in ED LOS according to whether prehospital 12-lead ECG was conducted. Conclusion Prehospital recognition of AMI by EMS personnel, with or without 12-lead ECG, was associated with a short ED LOS.
Biofabrication of 3D breast cancer models for dissecting the cytotoxic response of human T cells expressing engineered MAIT cell receptors

Immunotherapy has revolutionized cancer treatment with the advent of advanced cell engineering techniques aimed at targeted therapy with reduced systemic toxicity. However, understanding the underlying immune–cancer interactions require development of advanced three-dimensional (3D) models of human tissues. In this study, we fabricated 3D tumor models with increasing complexity to study the cytotoxic responses of CD8+ T cells, genetically engineered to express mucosal-associated invariant T (MAIT) cell receptors, towards MDA-MB-231 breast cancer cells. Homotypic MDA-MB-231 and heterotypic MDA-MB-231/human dermal fibroblast tumor spheroids were primed with precursor MAIT cell ligand 5-amino-6-D-ribitylaminouracil (5-ARU). Engineered T cells effectively eliminated tumors after a 3 d culture period, demonstrating that the engineered T cell receptor recognized major histocompatibility complex class I-related (MR1) protein expressing tumor cells in the presence of 5-ARU. Tumor cell killing efficiency of engineered T cells were also assessed by encapsulating these cells in fibrin, mimicking a tumor extracellular matrix microenvironment. Expression of proinflammatory cytokines such as interferon gamma, interleukin-13, CCL-3 indicated immune cell activation in all tumor models, post immunotherapy. Further, in corroborating the cytotoxic activity, we found that granzymes A and B were also upregulated, in homotypic as well as heterotypic tumors. Finally, a 3D bioprinted tumor model was employed to study the effect of localization of T cells with respect to tumors. T cells bioprinted proximal to the tumor had reduced invasion index and increased cytokine secretion, which indicated a paracrine mode of immune–cancer interaction. Development of 3D tumor-T cell platforms may enable studying the complex immune–cancer interactions and engineering MAIT cells for cell-based cancer immunotherapies.
The later-life depression in nursing homes compared with private households

With the decline in physical and cognitive functioning, older adults gradually emphasize emotional experiences (Carstensen, 1991). However, older adults are more likely to experience depression than those in other stages of life, and such negative emotions significantly decrease their quality of life (Doraiswamy et al., 2002; Shao et al., 2022). The present commentary mainly focused on the uniqueness of later-life depression and the difference in later-life depression between nursing home residents and private households. We attempted to answer these questions by commenting on this article titled, “Depression in Nursing Home Residents and Its Correlation withMeaning of Family Involvement and Depression of Family. ” Finally, we added toWu et al.’s (2022) future research areas to advance the field of older adults’ adoption and well-being in nursing homes.
Progress and challenges in the biofoundry of immunosuppressants: From process to practice

Microorganisms are known to produce pharmaceutically important secondary metabolites that are used as drug moieties in the treatment of various disorders. Discovery of one such class of drugs called immunosuppressants led the way for new and improved treatment regimens for the cases of organ rejections as well as for autoimmune diseases. Uncovering the role of these secondary metabolites as immunomodulators had increased their demand in the global drug market. However, this was soon overshadowed by the low amount of product obtained after fermentation and tedious downstream processing for the recovery of product. Hence, continuous efforts are being made to enhance their production by unveiling the basic biosynthetic pathways involved in their synthesis. From unearthing these immunosuppressants to their rapid development towards commercialization, these drugs have gained a significant place in the world market. Hence, the present review is focused on the progress and challenges in the production and downstream processing of different immunosuppressants (tacrolimus, cyclosporine, rapamycin, and mycophenolic acid). This is the first review report on how the market demand of immunosuppressants could be fulfilled by exploring biofoundry approaches to achieve the goal.
Learning with lacertids: Studying the link between ecology and cognition within a comparative framework

Cognition is an essential tool for animals to deal with environmental challenges. Nonetheless, the ecological forces driving the evolution of cognition throughout the animal kingdom remain enigmatic. Large‐scale comparative studies on multiple species and cognitive traits have been advanced as the best way to facilitate our understanding of cognitive evolution, but such studies are rare. Here, we tested 13 species of lacertid lizards (Reptilia: Lacertidae) using a battery of cognitive tests measuring inhibitory control, problem‐solving, and spatial and reversal learning. Next, we tested the relationship between species’ performance and (a) resource availability (temperature and precipitation), habitat complexity (Normalized Difference Vegetation Index), and habitat variability (seasonality) in their natural habitat and (b) their life history (size at hatching and maturity, clutch size, and frequency). Although species differed markedly in their cognitive abilities, such variation was mostly unrelated to their ecology and life history. Yet, species living in more variable environments exhibited lower behavioral flexibility, likely due to energetic constrains in such habitats. Our standardized protocols provide opportunities for collaborative research, allowing increased sample sizes and replication, essential for moving forward in the field of comparative cognition. Follow‐up studies could include more detailed measures of habitat structure and look at other potential selective drivers such as predation.
A Grand and Bold Thing: An Extraordinary New Map of the Universe Ushering In A New Era of Discovery

LATE IN THE TWENTIETH CENTURY, what had been a fevered pace of discovery in astronomy for many years had slowed. The Hubble Space Telescope continued to produce an astonishing array of images, but the study of the universe was still fractured into domains: measuring the universe's expansion rate, the evolution of galaxies in the early universe, the life and death of stars, the search for extrasolar planets, the quest to understand the nature of the elusive dark matter. So little was understood, still, about so many of the most fundamental questions, foremost among them: What was the overall structure of the universe? Why had stars formed into galaxies, and galaxies into massive clusters? What was needed, thought visionary astronomer Jim Gunn, recently awarded the National Medal of Science, was a massive survey of the sky, a kind of new map of the universe that would be so rich in detail and cover such a wide swath of space, be so grand and bold, that it would allow astronomers to see the big picture in a whole new way. So was born the Sloan Digital Sky Survey, a remarkable undertaking bringing together hundreds of astronomers and launching a new era of supercharged astronomical discovery, an era of "e-science" that has taken astronomy from the lonely mountaintop observatory to the touch of your fingertips. Critically acclaimed science writer Ann Finkbeiner tells the inside story of the Sloan and how it is revolutionizing astronomy. The Sloan stitched together images of deep space taken over the course of five years, providing a remarkably detailed, three-dimensional map of a vast territory of the universe, all digitized and downloadable for easy searching on a personal computer, and available not only to professional astronomers but to the public as well. Bringing together for the first time images of many millions of galaxies--including the massive structure known as the Sloan Great Wall of galaxies, never seen before--the Sloan is allowing astronomers and armchair enthusiasts alike to watch the universe grow up, providing so many discoveries at such a fast pace that, as one astronomer said, it's like drinking out of a fire hose. They are watching galaxies forming and galaxies merging with other galaxies, seeing streams of stars swirling out from galaxies, and forming a new understanding of how the smooth soup of matter that emerged from the Big Bang evolved into the universe as we know it. Ann Finkbeiner brings the excitement and the extraordinary potential of this new era of astronomy vividly to life and allows all readers to understand how they, too, can become part of the discovery process. "A Grand and Bold Thing "is vital reading for all.
A simple model of wave–current interaction

The interaction between a steady current and propagating surface waves is investigated by means of a perturbation approach, which assumes small values of the wave steepness and considers current velocities of the same order of magnitude as the amplitude of the velocity oscillations induced by wave propagation. The problems, which are obtained at the different orders of approximation, are characterized by a further parameter which is the ratio between the thickness of the bottom boundary layer and the length of the waves and turns out to be even smaller than the wave steepness. However, the solution is determined from the bottom up to the free surface, without the need to split the fluid domain into a core region and viscous boundary layers. Moreover, the procedure, which is employed to solve the problems at the different orders of approximation, reduces them to one-dimensional problems. Therefore, the solution for arbitrary angles between the direction of the steady current and that of wave propagation can be easily obtained. The theoretical results are compared with experimental measurements; the fair agreement found between the model results and the laboratory measurements supports the model findings.
Evaluation of Systemwide Improvement Programs to Optimize Time to Surgery for Patients With Hip Fractures

Key Points Question What contributes to the success of improvement programs designed to reduce time to surgery (TTS) for adult patients with hip fractures? Findings In this systematic review of 69 studies, 49 programs were associated with significant decreases in TTS, and 20 programs were not. Common themes among successful improvement strategies (eg, identifying barriers and facilitators to program implementation) were cataloged according to Expert Recommendations for Implementing Change, and contextual factors contributing to failed experimental results were evaluated. Meaning These findings suggest that many of the assessed improvement programs show promise for reducing hip fracture TTS across different clinical settings in the near future.
An Ensemble Surrogate-Based Coevolutionary Algorithm for Solving Large-Scale Expensive Optimization Problems

Surrogate-assisted evolutionary algorithms (SAEAs) have shown promising performance for solving expensive optimization problems (EOPs) whose true evaluations are computationally or physically expensive. However, most existing SAEAs only focus on the problems with low dimensionality and they rarely consider solving large-scale EOPs (LSEOPs). To fill this research gap, this article proposes an ensemble surrogate-based coevolutionary optimizer for tackling LSEOPs. First, some local surrogate models are trained with low-dimensional data subsets by using feature selection on the large-scale decision variables, a part of which are used to build a selective ensemble surrogate for better approximating the target LSEOP. Then, a coevolutionary optimizer guided by the ensemble surrogate is designed by running two populations to cooperatively solve the target LSEOP and the simplified auxiliary problem. The information of offspring from the two populations is shared to facilitate the coevolution process, which can exploit the searching experience from the simplified auxiliary problem to help solving the target LSEOP. Finally, an effective infill selection criterion is used to update the ensemble surrogate and enhance its approximate performance. To evaluate the performance of the proposed algorithm, a number of well-known benchmark problems are used and the experimental results validate our superior performance over nine state-of-the-art SAEAs on most cases.
Optimum design for porous metal bearing

Porous metal bearings as a specially sort of sliding bearing are common in use today in most of machines. Their main characteristic is possibility of selflubrication during operating life. The aim of this paper is to apply already developed basic concept for optimum design of sliding bearings generally on this sort of selflubricating porous metal bearing and make their optimum design study. The study makes objective functions and some equality and inequality constrains based on hydrodynamics lubrication theory. For this optimum design problem coefficient of friction is a main cost function and different design variables are defined depends on kind of optimisation. The optimum design model and procedure are realised through developed computer programme followed by numerical example and results analysis.