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Both the latent variable model and the network model have been widely used to conceptualize mental disorders. However, it has been pointed out that there is no clear dichotomy between the two models, and a combination of these two model could enable a better understanding of psychopathology. The recently proposed latent network model (LNM) has provided a statistical framework to enable this combination. Evidence has shown that posttraumatic stress disorder (PTSD) could be a suitable candidate disorder to study the combined model. In the current study, we initiated the first investigation of the latent network of PTSD symptoms. The latent network of DSM-5 PTSD symptoms was estimated in 1196 adult survivors of China's 2008 Wenchuan earthquake. Validation testing of the latent network was conducted in a replication sample of children and adolescent who experienced various trauma types. PTSD symptoms were measured by the PTSD Checklist for DSM-5 (PCL-5). The latent network was estimated using the seven-factor hybrid model of DSM-5 PTSD symptoms, analysed using the R package lvnet. The latent network model demonstrated good fit in both samples. A strong weighted edge between the intrusion and avoidance dimensions was identified (regularized partial correlation = 0.75). The externalizing behaviour dimension demonstrated the highest centrality in the latent network. This study is the first to investigate the latent network of DSM-5 PTSD symptoms. Results suggest that both latent symptom dimension and associations between the dimensions should be considered in future PTSD studies and clinical practices.

Autism spectrum disorder (ASD) might be conceptualized as an essentially dimensional, categorical, or hybrid model. Yet, current empirical studies are inconclusive and the latent structure of ASD has explicitly been examined only in a few studies. The aim of our study was to identify and discuss the latent model structure of behavioral symptoms related to ASD and to address the question of whether categories and/or dimensions best represent ASD symptoms. We included data of 2920 participants (1–72 years of age), evaluated with the Autism Diagnostic Observation Schedule (Modules 1–4). We applied latent class analysis, confirmatory factor analysis, and factor mixture modeling and evaluated the model fit by a combination of criteria. Based on the model selection criteria, the model fits, the interpretability as well as the clinical utility we conclude that the hybrid model serves best for conceptualization and assessment of ASD symptoms. It is both grounded in empirical evidence and in clinical usefulness, is in line with the current classification system (DSM-5) and has the potential of being more specific than the dimensional approach (decreasing false positive diagnoses).

This article explores how the associations between student achievement and achievement growth influence our understanding of the role schools play in academic inequality. Using nationally representative data from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 (ECLS-K:2011), we constructed parallel growth and lagged score models within both seasonal learning and school effects frameworks to study how student- and school-level socioeconomic and racial/ethnic backgrounds relate to student learning. Our findings suggest that seasonal comparative scholars, who generally argue that schools play an equalizing role, and scholars focused on school compositional effects, who typically report that schools exacerbate inequality, come to these contrasting findings not only because they ask different questions but also because they treat student initial achievement differently when modeling student learning. (DIPF/Orig.).

Conservation biology was founded on the idea that efforts to save nature depend on a scientific understanding of how it works. It sought to apply ecological principles to conservation problems. We investigated whether the relationship between these fields has changed over time through machine reading the full texts of 32,000 research articles published in 16 ecology and conservation biology journals. We examined changes in research topics in both fields and how the fields have evolved from 2000 to 2014. As conservation biology matured, its focus shifted from ecology to social and political aspects of conservation. The 2 fields diverged and now occupy distinct niches in modern science. We hypothesize this pattern resulted from increasing recognition that social, economic, and political factors are critical for successful conservation and possibly from rising skepticism about the relevance of contemporary ecological theory to practical conservation. La biología de la conservación se fundó a partir de la idea de que los esfuerzos para salvar a la naturaleza dependen del entendimiento científico de cómo funciona. La biología de la conservación buscaba aplicar los principios ecológicos a los problemas de conservación. En este trabajo investigamos si la relación entre estos ámbitos ha cambiado con el tiempo al realizar una lectura mediante máquina de 32,000 textos completos de artículos de investigación publicados en 16 revistas sobre ecología y biología de la conservación. También examinamos los cambios en los temas de investigación en ambos ámbitos y cómo éstos han evolucionado desde el año 2000 hasta el 2014. Conforme ha madurado la biología de la conservación, su enfoque se ha movido de los aspectos ecológicos de la conservación a los aspectos políticos y sociales. La ecología y la biología de la conservación se han separado y ahora ocupan nichos distintos dentro de la ciencia moderna. Nuestra hipótesis considera que este patrón resultó de incrementar el reconocimiento de que los factores sociales, económicos y políticos son muy importantes para una conservación exitosa. Posiblemente el patrón también proviene del creciente escepticismo acerca de la relevancia que la teoría ecológica contemporánea tiene para la conservación en práctica. 保护生物学是建立在拯救自然的努力是依靠对自然过程的科学理解的基本理念之上, 它致力于将生态学 原理应用于保护问题。 我们通过对发表在 16 个生态学和保护生物学期刊上的 32,000 篇研究论文全文进行机器 阅读，分析了这两个领域的关系是否随时间发生了变化。 本研究涵盖了 2000-2014年间这两个领域研究主题的 变化及其演变。结果显示，随着保护生物学学科成熟，它的关注点从生态学转向了保护的社会和政治方面。 因 此，保护生物学与生态学也逐渐分歧，并在现代科学中占据了截然不同的位置。 我们认为这种格局是由于越来 越多的人意识到社会、 经济和政治因素对保护成功与否至关重要, 也可能是由于越来越多的人开始怀疑当代生 态学理论与保护实践之间的联系。

Anthropogenic heat flux is the heat generated by human activities in the urban canopy layer, which is considered the main contributor to the urban heat island (UHI). The UHI can in turn increase the use and energy consumption of air-conditioning systems. In this study, two effective methods for water-cooling air-conditioning systems in non-domestic areas, including the direct cooling system and central piped cooling towers (CPCTs), are physically based, parameterized, and implemented in a weather research and forecasting model at the city scale of Hong Kong. An extreme high temperature event (June 23-28, 2016) in the urban areas was examined, and we assessed the effects on the surface thermal environment, the interaction of sea-land breeze circulation and urban heat island circulation, boundary layer dynamics, and a possible reduction of energy consumption. The results showed that both water-cooled air-conditioning systems could reduce the 2 m air temperature by around 0.5 °C-0.8 °C during the daytime, and around 1.5 °C around 7:00-8:00 pm when the planetary boundary layer (PBL) height was confined to a few hundred meters. The CPCT contributed around 80%-90% latent heat flux and significantly increased the water vapor mixing ratio in the atmosphere by around 0.29 g kg−1 on average. The implementation of the two alternative air-conditioning systems could modify the heat and momentum of turbulence, which inhibited the evolution of the PBL height (a reduction of 100-150 m), reduced the vertical mixing, presented lower horizontal wind speed and buoyant production of turbulent kinetic energy, and reduced the strength of sea breeze and UHI circulation, which in turn affected the removal of air pollutants. Moreover, the two alternative air-conditioning systems could significantly reduce the energy consumption by around 30% during extreme high temperature events. The results of this study suggest potential UHI mitigation strategies and can be extended to other megacities to enable them to be more resilient to UHI effects.

Current debates on threats to social integration in times of multiple crises call for a better understanding of the relationship between socioeconomic inequality and sociocultural value conflicts. The aim of this article is to (re)introduce the concept of social milieus as a promising approach to capture the complexity of this relationship at the group level. We offer a theoretical extension of the concept of social milieus, which has so far been limited to the German discourse, by linking it to the international debate on sociocultural “cleavages” and cultural value conflicts. Social milieus are defined as large latent groups with similar socioeconomic positions and cultural values. Accordingly, they develop milieu-specific forms of social integration in potentially conflictual demarcation from other milieus. This conceptualization offers a theoretical framework for analyzing social integration from the perspective of social groups in terms of social integration within social milieus and relationships between milieus. In order to illustrate the capabilities of this theoretical approach, we develop a first empirical model of social milieus in Germany based on a Latent Class Analysis of socioeconomic indicators and Schwartz’ basic human values. With this theoretical concept and empirical model, we put social milieus on the international research agenda for the analysis of social integration within and between social groups.

Background: Adverse childhood experiences (ACEs) have been identified as an important public health problem with serious implications. Less well understood is how distinct configurations of childhood adversities carry differential risks for mental health, emotional, and social outcomes later in life. Objective: To determine if distinct profiles of childhood adversities exist for males and females and to examine if unique associations exist between the resultant latent profiles of childhood adversities and multiple indicators of mental health and social and emotional wellbeing in adulthood. Method: Participants (N = 1,839) were a nationally representative household sample of adults currently residing in the USA and the data were collected via online self-report questionnaires. Latent class analysis was used to identify the optimal number of classes to explain ACE co-occurrence among males and females, separately. ANOVAs, chi-square tests, and t-tests were used to compare male and female classes across multiple mental health, emotional, and social wellbeing variables in adulthood. Results: Females were significantly more likely than males to report a range of ACEs and mental health, social, and emotional difficulties in adulthood. Two- and four-class models were identified as the best fit for males and females, respectively, indicating more complexity and variation in ACE exposures among females. For males and female, ACEs were strongly associated with poorer mental health, emotional, and social outcomes in adulthood. Among females, growing up in a dysfunctional home environment was a significant risk factor for adverse social outcomes in adulthood. Conclusions: Males and females have distinct patterns of childhood adversities, with females experiencing more complex and varied patterns of childhood adversity. These patterns of ACEs were associated with numerous negative mental, emotional, and social outcomes among both sexes.

A single layer urban canopy model (SLUCM) with enhanced hydrologic processes, is evaluated in a tropical city, Singapore. The evaluation was performed using an 11 month offline simulation with the coupled Noah land surface model/SLUCM over a compact low-rise residential area. Various hydrological processes are considered, including anthropogenic latent heat release, and evaporation from impervious urban facets. Results show that the prediction of energy fluxes, in particular latent heat flux, is improved when these processes were included. However, the simulated latent heat flux is still underestimated by ∼40%. Considering Singapore's high green cover ratio, the tree evapotranspiration process is introduced into the model, which significantly improves the simulated latent heat flux. In particular, the systematic error of the model is greatly reduced, and becomes lower than the unsystematic error in some seasons. The effect of tree evapotranspiration on the urban surface energy balance is further demonstrated during an unusual dry spell. The present study demonstrates that even at sites with relatively low (11%) tree coverage, ignoring evapotranspiration from trees may cause serious underestimation of the latent heat flux and atmospheric humidity. The improved model is also transferable to other tropical or temperate regions to study the impact of tree evapotranspiration on urban climate.

Solar still is used widely to produce clean water from any brackish water. The efficiency of the still depends on the design of the still with respect to the prevailing local ambient conditions. A number of literature discussed about different designs of evaporator on improving the overall efficiency of the still but not on the condenser design. Hence, the present work focuses on the improvement in efficiency by providing a passive external condenser with a stepped design of evaporator. The passive external condenser has shown an increase in the overall efficiency of still by 10.6% in summer and 12.2% in winter. Higher performance was observed in winter than summer when the passive external condenser was added with stepped evaporator (integrated system) and found inverse for the stepped solar still without condenser. Heat transfer analysis was also made to determine the effectiveness of the external condenser in summer and winter. The correlations developed by Dunkle (in: Proceedings of the ASME International Heat Transfer Conference. Part V, International Developmental in Heat Transfer. University of Colorado, Boulder, Colorado, 1961), Hongfei et al. (Energy Convers Manag 43:2469–2478, 2002) and Tsilingiris (Sol Energy 83:420–431, 2009. https://doi.org/10.1016/j.solener.2008.09.007 ) were used to fit the experimental data obtained from the coupled system, and temperature correction factors were introduced along with the correlations to improve the predictions. The application of the external condenser as a heat source was also summarized.

Background: The updated 11 th edition of International Classification of Diseases (ICD-11) is expected to be released by the WHO in 2018. Disorders specifically associated with stress will be included in a separate chapter in ICD-11, and will include a revision of ICD-10 PTSD as well as a new diagnosis of complex posttraumatic stress disorder (CPTSD). The proposed symptom structures of ICD-11 PTSD and CPTSD have been validated in several studies previously, however few studies have used the International Trauma Questionnaire (ITQ), a specific measure for ICD-11 PTSD and CPTSD. Given that ICD-11 PTSD and CPTSD diagnoses are intended to be applicable across different cultures and nations, it is important that the constructs be evaluated across diverse populations and languages. Objective: Study of the psychological impact of trauma is relatively new in Lithuania, coinciding with its independence from the Soviet Union in the 1990s. Studies thus far reveal a population suffering from the effects of long-term and systematic political oppression and violence. The aim of this study was to assess the validity of the symptoms and structure of PTSD and CPTSD in a Lithuanian treatment-seeking sample as measured by the ITQ. Method: A total of 280 patients from outpatient mental health centres participated in this study. PTSD and CPTSD symptoms were measured with the ITQ. We applied confirmatory factor analysis (CFA) and latent class analysis (LCA) for analysis of data. Results and conclusions: Our study supported the ICD-11 factor structure of CPTSD, and a three-class model was supported in LCA analysis with a PTSD class, a CPTSD class, and a low symptom class. Findings support the factorial and discriminant validity of the ICD-11 proposals for PTSD and CPTSD in a unique clinical population.