How Parents and Children Disappear in Our Courts - And Why It Need Not Ever Happen Again

Part One of this Article further examines those moral, factual and legal dynamics in the family that make these cases so difficult. Part Two summarizes the present state of the law, and demonstrates precisely where and why the current legal approach is falling short. I will show how the law specifically fails to adequately define the rights of parents, substantively as well as procedurally and, I will furthermore demonstrate how, in their current forms, the doctrines of parental autonomy and the best interests of the child are far too broad and too rigid for many cases involving the parent-child relationship. Finally, Part Three advances an original and more just constitutional analysis for examining the parent-child relationship. In short, under this approach the best aspects of both the doctrines of parental autonomy and the best interests of the child are incorporated into one, more comprehensive and more cohesive, analysis

An analytical and experimental evaluation of a Fresnel lens solar concentrator

An analytical and experimental evaluation of line focusing Fresnel lenses with application potential in the 200 to 370 C range was studied. Analytical techniques were formulated to assess the solar transmission and imaging properties of a grooves down lens. Experimentation was based on a 56 cm wide, f/1.0 lens. A Sun tracking heliostat provided a nonmoving solar source. Measured data indicated more spreading at the profile base than analytically predicted, resulting in a peak concentration 18 percent lower than the computed peak of 57. The measured and computed transmittances were 85 and 87 percent, respectively. Preliminary testing with a subsequent lens indicated that modified manufacturing techniques corrected the profile spreading problem and should enable improved analytical experimental correlation

Exertional Heat Strokes Incidents in Service Members

A serious health concern active-duty service members (SMs) face is heat strokes (Donham et al., 2020). Heat strokes are caused when the body is overworked by extended periods of heat and dehydration that can result in convulsions, brain damage, and death (Shimazaki et al., 2022). Active-duty requires a lot of exertional training on their soldiers such as long-distance runs and weight-bearing exercises which may increase their risk of developing heatstrokes (Donham et al., 2020). However, there is a dearth of literature examining heat strokes among SMs. As such, the present study sought to examine incidence rate trends of heatstroke diagnoses among various SM demographic classifications between 2016 and 2021. The Defense Medical Epidemiology Database (DMED) was utilized to extract data and conduct a retrospective cohort study to identify all diagnosed cases of heat strokes among SMs. The primary goal was to calculate the incidence rate of heat strokes (per 10,000). The overall incidence rate of heat strokes was calculated to be 2.94 (per 10,000). Results indicated that young single white males in junior enlisted ranks and junior officer ranks serving in the Army or Marines are the most at-risk demographics to experience heat strokes. Future research should examine underrepresented demographics such as Female SMs, non-White SMs, and SMs in older age groups for more targeted interventions. The incidence rate trends and demographics most at risk for heat strokes elucidate the need for further research to improve military readiness and operations. Keywords: Heat Strokes, Military, Service Member

Applying MERLIN for modelling nitrate leaching in a nitrogen saturated Douglas fir forest in the Netherlands after decreased atmospheric nitrogen input.

International audienceThe MERLIN model was applied on the results of a field-scale manipulation experiment with decreased nitrogen (N) deposition in an N saturated forest ecosystem in the Netherlands. The aim was to investigate the mechanisms that could explain the observed rapid response of nitrate as a result of the decreased N input. Calibrating the model to pre-treatment data revealed that, despite the high atmospheric N input, the trees relied on N mineralised from refractory organic matter (ROM) for their growth. MERLIN could simulate only the fast response of nitrate leaching after decreased input if this ROM mineralisation rate was decreased strongly at the time of the manipulation experiment

Heat Strokes in Military Service Members

Heat strokes are caused when the body is overworked by extended periods of heat and dehydration that can result in convulsions, brain damage, and death (Shimazaki et al., 2022). Heat strokes are a serious health concern for active-duty military service members (SMs) due to extended exertional training (i.e., long-distance running and weight-bearing exercises) which may increase their risk of developing heat strokes (Donham et al., 2020). However, there is a dearth of literature examining heat strokes among SMs. The present study sought to address this by examining diagnostic trends of heatstroke incidence among various military SM demographic classifications between 2016 and 2021. The Defense Medical Epidemiology Database (DMED) was utilized to extract data and conduct a retrospective cohort study to identify all SMs diagnosed with heat strokes. The primary goal was to calculate the incidence rate of heat strokes (per 10,000). The overall incidence rate of heat strokes was calculated to be 2.94 (per 10,000). Results indicated that single, white, males between the ages 18 and 24 years, in junior enlisted ranks (i.e., E-1 to E-4) and junior officer ranks (i.e., O-1/WO1 – O-3/CW3) serving in the Army or Marines were among the most at-risk demographics to experience heat strokes. Future research should examine underrepresented demographics such as female SMs, non-White SMs, and SMs in older age groups for more targeted interventions. The incidence rate trends and demographics most at-risk for heat strokes elucidate the need for further research to improve military readiness and operations. Keywords: Heat strokes, Military, Service Member

Patterns and trends of topsoil carbon in the UK: complex interactions of land use change, climate and pollution

The UK Countryside Survey (CS) is a national long-term survey of soils and vegetation that spans three decades (1978–2007). Past studies using CS data have identified clear contrasting trends in topsoil organic carbon (tSOC) concentrations (0–15 cm) related to differences between habitat types. Here we firstly examine changes in tSOC resulting from land use change, and secondly construct mixed models to describe the impact of indirect drivers where land use has been constant. Where it occurs, land use change is a strong driver of SOC change, with largest changes in tSOC for transitions involving SOC-rich soils in upland and bog systems. Afforestation did not always increase tSOC, and the effect of transitions involving woodland was dependent on the other vegetation type. The overall national spatial pattern of tSOC concentration where land use has been constant is most strongly related to vegetation type and topsoil pH, with contributions from climate variables, deposition and geology. Comparisons of models for tSOC across time periods suggest that declining SO4 deposition has allowed recovery of topsoils from acidification, but that this has not resulted in the increased decomposition rates and loss of tSOC which might be expected. As a result, the relationship between pH and tSOC in UK topsoils has changed significantly between 1978 and 2007. The contributions of other indirect drivers in the models suggest negative relationships to seasonal temperature metrics and positive relationships to seasonal precipitation at the dry end of the scale. The results suggest that the CS approach of long-term collection of co-located vegetation and soil biophysical data provides essential tools both for identifying trends in tSOC at national and habitat levels, and for identifying areas of risk or areas with opportunities for managing topsoil SOC and vegetation change

Probable changes in lake chemistry in Canada's Atlantic Provinces under proposed North American emission reductions

International audienceAtlantic Canada, located in the extreme north-eastern portion of North America, receives acid precipitation from all major acid emission sources on the eastern part of the continent. The region was glaciated and has thin soils over a generally poorly acid buffering bedrock. Because of regional topography, large groupings of lakes occur in a number of regions. Environment Canada and the Government of New Brunswick have operated lake sampling networks in trend detection studies and have concentrated their work on these lake groupings. The MAGIC model has been applied to these lakes and their catchments to see: a) what initial water chemistry conditions existed before acidification began, b) what the chemistry was like during the worst of regional acid deposition, and c) what it would be like under deposition conditions predicted for new Canadian and US emission reduction proposals. While pH, sulphate, acid neutralisation capacity (ANC) and the sum of the base cations (SBC) of all lakes have been significantly affected by acid deposition, water chemistry conditions are now considerably better than they were in 1975, at the worst of the deposition. However, a 50% reduction in acid deposition from Year 2000 deposition amounts will not return water chemistry to original conditions in most of the region. Keywords: Atlantic Canada, monitoring networks, acidification, predictions, MAGI

Modelling the effects of acid deposition: refinements, adjustments and inclusion of nitrogen dynamics in the MAGIC model

International audienceThe MAGIC model of the responses of catchments to acidic deposition has been applied and tested extensively over a 15 year period at many sites and in many regions around the world. Overall, the model has proven to be robust, reliable and useful in a variety of scientific and managerial activities. Over the years, several refinements and additions to MAGIC have been proposed and/or implemented for particular applications. These adjustments to the model structure have all been included in a new version of the model (MAGIC7). The log aluminium ? pH relationship now does not have to be fixed to aluminium trihydroxide solubility. Buffering by organic acids using a triprotic analog is now included. Dynamics of nitrogen retention and loss in catchments can now be linked to soil nitrogen and carbon pools. Simulation of short-term episodic response by mixing fractions of different water types is also possible. This paper presents a review of the conceptual structure of MAGIC7 relating to long-term simulation of acidification and recovery, describes the conceptual basis of the new nitrogen dynamics and provides a comprehensive update of the equations, variables, parameters and inputs for the model. Keywords: process-based model, acid deposition, recover

Polyvictimization, Emotion Dysregulation, Symptoms of Posttraumatic Stress Disorder, and Behavioral Health Problems among Justice-Involved Youth: a Latent Class Analysis

Among the 90% of adolescents involved in juvenile justice who have experienced traumatic victimization, a sub-group may be at highest risk due to histories of multiple types of interpersonal and non-interpersonal trauma, termed polyvictims. Latent class analyses (LCA) have identified polyvictimized subgroups in several studies of adolescents and adults, but only one study of traumatic victimization has been conducted with justice-involved youth (Ford et al. 2013). The current investigation replicates and extends that study’s findings using LCA to assess a wider range of victimization- and nonvictimization-related adversities and emotion dysregulation, DSM-5 symptom clusters of posttraumatic stress disorder (PTSD), and behavioral health problems, such as substance use, anger, depression, somatic complaints, and suicide ideation. In a sample of juvenile detainees three latent classes were identified: mixed adversity (MA; n = 327), violent environment (VE; n = 337), and polyvictimization (PV; n = 145). In contrast to MA youth, PV youth were more likely to report exposure to all forms of adversity, and in contrast to both MA and VE youth, exposure to maltreatment and family violence, and higher levels of emotion dysregulation, PTSD, and depression/anxiety symptoms, somatic complaints, and suicidality. VE youth (vs. MA youth) were more likely to report exposure to violence and non-interpersonal traumas, and were higher on some forms of emotion dysregulation, PTSD symptoms, anger and substance use. Findings suggest that most justice-involved youth have experienced substantial adversity, with almost one in five identified as a polyvictim having experienced multiple adversities, including impaired caregivers, and evidencing the most severe problems in emotion dysregulation and PTSD, internalizing, and externalizing symptoms

Assessing emission reduction targets with dynamic models: deriving target load functions for use in integrated assessment

International audienceInternational agreements to reduce the emission of acidifying sulphur (S) and nitrogen (N) compounds have been negotiated on the basis of an understanding of the link between acidification related changes in soil and surface water chemistry and terrestrial and aquatic biota. The quantification of this link is incorporated within the concept of critical loads. Critical loads are calculated using steady state models and give no indication of the time within which acidified ecosystems might be expected to recover. Dynamic models provide an opportunity to assess the timescale of recovery and can go further to provide outputs which can be used in future emission reduction strategies. In this respect, the Target Load Function (TLF) is proposed as a means of assessing the deposition load necessary to restore a damaged ecosystem to some pre-defined acceptable state by a certain time in the future. A target load represents the deposition of S and N in a defined year (implementation year) for which the critical limit is achieved in a defined time (target year). A TLF is constructed using an appropriate dynamic model to determine the value of a chemical criterion at a given point in time given a temporal pattern of S and N deposition loads. A TLF requires information regarding: (i) the chemical criterion required to protect the chosen biological receptor (i.e. the critical limit); (ii) the year in which the critical limit is required to be achieved; and (iii) time pattern of future emission reductions. In addition, the TLF can be assessed for whole regions to incorporate the effect of these three essentially ecosystem management decisions. Keywords: emission reduction, critical load, target load, dynamic model, recovery tim