Linking the chemical speciation of cerium to its bioavailability in water for a freshwater alga

Over the past decade, researchers have begun to use metals of the lanthanide family for numerous applications, including liquid crystal display (LCD) screens, optical fibers, and laser technology. Unfortunately, little is presently known about their bioavailability or the mechanisms by which they might cause toxicity. The present study focuses on cerium (Ce), one of the most widely used lanthanides, and on validating the biotic ligand model as a means to predict Ce bioaccumulation. Short-term exposures to Ce were performed using the unicellular alga Chlamydomonas reinhardtii, to better relate Ce bioavailability to its chemical speciation in solution. Maximum uptake fluxes (Jmax) and affinity constants for the binding of Ce to the biological uptake sites (KS) were established at pH 5.0 and pH 7.0. An apparent affinity constant of 1.8 × 107 M–1 was observed at pH 5.0, with a larger value obtained at pH 7.0 (6 × 107 M–1), albeit under conditions where equilibrium could not be confirmed. By evaluating Ce speciation using centrifugal ultrafiltration and single-particle inductively coupled plasma spectrometry, it could be concluded that very little (∼30%) Ce was truly dissolved at pH 7.0, with the majority of the metal being present in colloidal species. Speciation was also monitored by fluorescence to evaluate Ce complexation by natural organic matter (NOM). The presence of NOM decreased Ce bioaccumulation in line with free Ce concentrations. Finally, competition with calcium for the metal uptake sites was shown to result in a decrease in Ce uptake by C. reinhardtii

Children and their parent's perceptions of overweight and obesity in Kuwait children

Background: The prevalence of overweight and obesity among children are a major public health concern internationally. Recognition of overweight and obesity status is an important step to prevent unhealthy weight. This study was designed to assess the prevalence and to explore the perceptions of children and their parents towards overweight and obesity in children. Methods: A cross-sectional study approach was utilized surveying 635 children aged 11 to 14 years (males and females) in 12 randomly selected public schools in Kuwait. Trained nurses performed measurements of children's height and weight to determine their Body Mass Index.Valid questionnaire were used to assess children and their parent perception of child's weight. Results: One quarter of the surveyed children 25.5% (N = 162) were overweight. Over one third of the participants 36.5% (N = 232) were classified as obese. The nurses' measurements did not coincide with the children's perceptions but were better aligned with parents' perceptions of overweight and obesity. Conclusion: The results indicated that there is high prevalence of overweight and obesity among Kuwaiti children. Furthermore, both the children and their parents underestimate the child weight status. Health education programs are highly recommended

Leg and lower limb dynamic joint stiffness during different walking speeds in healthy adults

The differences and relationship between joint stiffness and leg stiffness can be used to characterize the lower limb behavior during different walking speeds. This study aimed to investigate the differences in whole leg and lower limb joint stiffness at different walking speeds and the interactions between leg and lower limb joint stiffness. Twenty-seven healthy adults, seventeen males (age: 19.6 ± 2.2 years, height: 176.0 ± 6.0 cm, mass: 69.7 ± 8.9 kg), and ten females (age: 19.1 ± 1.9 years, height: 164.0 ± 3.0 cm, mass: 59.6 ± 3.8 kg), were recruited. Dynamic leg and joint stiffness were calculated during eccentric loading from data recorded using 3D infrared motion analysis and force plates at slow, normal, and fast walking speeds. Differences in dynamic stiffness, joint angles and moments were explored between the walking speeds using Repeated Measures ANOVA with Sidak post-hoc tests. Correlations between leg, joint stiffness, and walking speed were also explored. The results indicated that the leg dynamic stiffness is decreased by walking speed, however, hip and ankle joint stiffness were increased (p < 0.001) and knee stiffness was unaffected. Leg stiffness showed no correlation with hip, knee, or ankle stiffness. A positive significant correlation was seen between hip and ankle stiffness (p < 0.01) and between knee and ankle stiffness (p < 0.001), however, no correlation was seen between hip and knee stiffness. These results suggest leg stiffness is not associated with lower limb joint stiffness during eccentric loading. This provides new information on the responses of ankle, knee and hip joint stiffness to walking speed. [Abstract copyright: Copyright © 2020 Elsevier B.V. All rights reserved.

Contributing factors to childhood overweight and obesity in Kuwait

The increasing prevalence of overweight and obesity in children is a major public health concern in Kuwait. Understanding the contributing factors is key to the development of an effective intervention strategy. This study was designed to identify what factors contribute to overweight and obesity in school-aged children. Method: A cross-sectional study, using questionnaires, was conducted with public intermediate school children (girls and boys) and their parents to elicit information related to the children’s daily lifestyle. A total of 635 children aged 11-14 years and their parents (N=635) were surveyed and children’s height and weight were measured by school nurses to identify their Body Mass Index. Results: When classified by BMI, about one quarter of the children (25.5%) were overweight and over one third (36.5%) were classified as obese. Multiple regression model found that the BMI of the male children increased significantly with respect to age if they had overweight siblings, spent time on sedentary activities, and regularly ate food from fast food restaurants. The BMI of the female children also increased significantly with respect to age, having overweight siblings, eating at fast food restaurants and for every time not actively travelling to school. Conclusion: The rate of childhood overweight and obesity in Kuwait is currently still high, and Kuwaiti children have been found to be leading unhealthy lifestyles. Involving parents as a part of the solution is an important step in promoting a healthy lifestyle

ZeroWaste Dataset: Towards Deformable Object Segmentation in Extreme Clutter

Less than 35% of recyclable waste is being actually recycled in the US, which leads to increased soil and sea pollution and is one of the major concerns of environmental researchers as well as the common public. At the heart of the problem are the inefficiencies of the waste sorting process (separating paper, plastic, metal, glass, etc.) due to the extremely complex and cluttered nature of the waste stream. Automated waste detection has great potential to enable more efficient, reliable, and safe waste sorting practices, but it requires label-efficient detection of deformable objects in extremely cluttered scenes. This challenging computer vision task currently lacks suitable datasets or methods in the available literature. In this paper, we take a step towards computer-aided waste detection and present the first in-the-wild industrial-grade waste detection and segmentation dataset, ZeroWaste. This dataset contains over 1800 fully segmented video frames collected from a real waste sorting plant along with waste material labels for training and evaluation of the segmentation methods, as well as over 6000 unlabeled frames that can be further used for semi-supervised and self-supervised learning techniques, as well as frames of the conveyor belt before and after the sorting process, comprising a novel setup that can be used for weakly-supervised segmentation. Our experimental results demonstrate that state-of-the-art segmentation methods struggle to correctly detect and classify target objects which suggests the challenging nature of our proposed real-world task of fine-grained object detection in cluttered scenes. We believe that ZeroWaste will catalyze research in object detection and semantic segmentation in extreme clutter as well as applications in the recycling domain. Our project page can be found at http://ai.bu.edu/zerowaste/

Children and their parent's perceptions of overweight and obesity in Kuwait children

Background: The prevalence of overweight and obesity among children are a major public health concern internationally. Recognition of overweight and obesity status is an important step to prevent unhealthy weight. This study was designed to assess the prevalence and to explore the perceptions of children and their parents towards overweight and obesity in children. Methods: A cross-sectional study approach was utilized surveying 635 children aged 11 to 14 years (males and females) in 12 randomly selected public schools in Kuwait. Trained nurses performed measurements of children’s height and weight to determine their Body Mass Index.Valid questionnaire were used to assess children and their parent perception of child’s weight. Results: One quarter of the surveyed children 25.5% (N = 162) were overweight. Over one third of the participants 36.5% (N = 232) were classified as obese. The nurses’ measurements did not coincide with the children’s perceptions but were better aligned with parents’ perceptions of overweight and obesity. Conclusion: The results indicated that there is high prevalence of overweight and obesity among Kuwaiti children. Furthermore, both the children and their parents underestimate the child weight status. Health education programs are highly recommended

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sorting. In industrial waste sorting, one of the biggest challenges is the extreme diversity of the input stream depending on factors like the location of the sorting facility, the equipment available in the facility, and the time of year, all of which significantly impact the composition and visual appearance of the waste stream. These changes in the data are called ``visual domains'', and label-efficient adaptation of models to such domains is needed for successful semantic segmentation of industrial waste. To test the abilities of computer vision models on this task, we present the VisDA 2022 Challenge on Domain Adaptation for Industrial Waste Sorting. Our challenge incorporates a fully-annotated waste sorting dataset, ZeroWaste, collected from two real material recovery facilities in different locations and seasons, as well as a novel procedurally generated synthetic waste sorting dataset, SynthWaste. In this competition, we aim to answer two questions: 1) can we leverage domain adaptation techniques to minimize the domain gap? and 2) can synthetic data augmentation improve performance on this task and help adapt to changing data distributions? The results of the competition show that industrial waste detection poses a real domain adaptation problem, that domain generalization techniques such as augmentations, ensembling, etc., improve the overall performance on the unlabeled target domain examples, and that leveraging synthetic data effectively remains an open problem. See https://ai.bu.edu/visda-2022/Comment: Proceedings of Machine Learning Researc

Understanding implementation and feasibility of tobacco cessation in routine primary care in Nepal: a mixed methods study

Background: By 2030, 80 % of the annual 8.3 million deaths attributable to tobacco will be in low-income countries (LICs). Yet, services to support people to quit tobacco are not part of routine primary care in LICs. This study explored the challenges to implementing a behavioural support (BS) intervention to promote tobacco cessation within primary care in Nepal. Methods: The study used qualitative and quantitative methods within an action research approach in three primary health care centres (PHCCs) in two districts of Nepal. Before implementation, 21 patient interviews and two focus groups with health workers informed intervention design. Over a 6-month period, two researchers facilitated action research meetings with staff and observed implementation, recording the process and their reflections in diaries. Patients were followed up 3 months after BS to determine tobacco use (verified biochemically) and gain feedback on the intervention. A further five interviews with managers provided reflections on the process. The qualitative analysis used Normalisation Process Theory (NPT) to understand implementation. Results: Only 2 % of out-patient appointments identified the patient as a smoker. Qualitative findings highlight patients' unwillingness to admit their smoking status and limited motivation among health workers to offer the intervention. Patient-centred skills needed for BS were new to staff, who found them challenging particularly with low-literacy patients (skill set workability). Heath workers saw cessation advice and BS as an addition to their existing workload (relational integration). While there was strong policy buy-in, operationalising this through reporting and supervision was limited (contextual integration). Of the 44 patients receiving the intervention, 27 were successfully followed up after 3 months; 37 % of these had quit (verified biochemically). Conclusions: Traditionally, primary health care in LICs has focused on acute care; with increasing recognition of the need for lifestyle change, health workers must develop new skills and relationships with patients. Appropriate and regular recording, reporting, supervision and clear leadership are needed if health workers are to take responsibility for smoking cessation. The consistent implementation of these health system activities is a requirement if cessation services are to be normalised within routine primary care

Review of the literature on negative health risks based interventions to guide anabolic steroid misuse prevention

Background. Despite the Internet and the WorldWideWeb providing ready access to information on the risks and health consequences of AS misuse for all ages, AS use remains a public health concern. The aim of this narrative review is to examine the ability of negative health consequences information (NHCI) to prevent adolescent AS misuse in the era of the Internet information revolution. Methods. A search of the literature published between January 2000 and March 2014 was conducted to identify studies that examined the effect of NHCI on AS use and other healthrelated social cognitive constructs and behavior in adolescent samples. Results. No empirical study was found that specifically investigated the isolated effect of NHCI on AS use. Other health-related intervention studies - involving adolescents - showed that the severity of the consequences tied to social disapproval can be more effective than the severity tied to health consequences. Relevance of NHCI can operate as a moderator or a mediator of the relationship between NHCI and social cognitive constructs and behavior change. Pre-existing knowledge about negative health consequences functions as a mediator of the relationship between NHCI and social cognitive constructs and outcomes. Conclusion. The best way to understand the effect of NHCI on social cognitive constructs and behavior is to consider it in a larger nomological network that includes perceived severity, vulnerability, relevance and pre-existing knowledge. The review highlights gaps in the literature and suggests directions for future research. Implications for prevention programs are discussed