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Background: Despite the considerable number of young adults with developmental disabilities experiencing sexual desire and exhibiting sexual behaviours as part of their natural biological growth and development, there is a lack of research on effective intervention. This study aimed to explore the views and experiences of professionals on the sexual behaviours of individuals with developmental disabilities. Methods: Semi-structured interviews with eight professionals specialising in developmental disabilities and/or inappropriate sexual behaviours were conducted, and their responses were analysed using a qualitative method. Results: Professionals' experiences were categorised into three based on the groups involved in intervention: people with developmental disabilities (desire, factors leading to lack of desire fulfilment), their family/parents (emotions and cognition/behaviours toward their child's disability and sexuality), and professionals (current intervention method, lack of human/material resources). Conclusion: Based on these findings, we suggest future directions for interventions to address sexual behaviours among individuals with developmental disabilities.

Misinformation about climate change is a consequential societal issue, causing polarization and reduced support for climate action. However, the seriousness of the problem does not preclude non-serious solutions. There are numerous potential benefits to humor as a strategy to counter misinformation, such as attracting attention and engaging disengaged audiences. This paper describes a humorous serious game--"Cranky Uncle"--developed in the U.S. to inoculate players against climate misinformation. The game combines psychological research into active inoculation, critical-thinking work on misleading rhetorical techniques, communication research into cartoon debunking, and gamification. The game's cartoon humor and the creative potential of active inoculation lends it to classroom applications; educators have thus used classroom activities to complement the game in order to improve students' climate literacy and critical-thinking abilities. We present several qualitative U.S.-based case studies, in formal English-speaking tertiary classrooms and informal public education settings, to illustrate the utility of a humorous, game-based approach to building resilience against climate misinformation. The approaches adopted in our case studies are offered as a model for other educators looking to use interactive games to teach critical thinking.

Medicinal chemistry continues to be impacted by new synthetic methods. Particularly sought after, especially at the drug discovery stage, is the ability to enact the desired chemical transformations in a concise and chemospecific fashion. To this end, the field of organic synthesis has become captivated by the idea of 'molecular editing'-to rapidly build onto, change or prune molecules one atom at a time using transformations that are mild and selective enough to be employed at the late stages of a synthetic sequence. In this Review, the definition and categorization of a particularly promising subclass of molecular editing reactions, termed 'single-atom skeletal editing', are proposed. Although skeletal editing applies to both cyclic and acyclic compounds, this Review focuses on heterocycles, both for their centrality in medicinal chemistry and for the definitional clarity afforded by a focus on ring systems. A classification system is presented by highlighting methods (both historically important examples and recent advances) that achieve such transformations, with the goal to spark interest and inspire further development in this growing field.

Saturated heterocycles are found in numerous therapeutics and bioactive natural products and are abundant in many medicinal and agrochemical compound libraries. To access new chemical space and function, many methods for functionalization on the periphery of these structures have been developed. Comparatively fewer methods are known for restructuring their core framework. Herein, we describe a visible light-mediated ring contraction of α-acylated saturated heterocycles. This unconventional transformation is orthogonal to traditional ring contractions, challenging the paradigm for diversification of heterocycles including piperidine, morpholine, thiane, tetrahydropyran, and tetrahydroisoquinoline derivatives. The success of this Norrish type II variant rests on reactivity differences between photoreactive ketone groups in specific chemical environments. This strategy was applied to late-stage remodeling of pharmaceutical derivatives, peptides, and sugars.

Purpose: Telepractice in speech-language pathology is a continually evolving part of clinical service delivery. Despite its popularity, little evidence exists on how to educate beginning-level student clinicians in telepractice provision. The purpose of this study is to assess the perceived comfort level of first-year graduate clinicians providing telepractice services during the COVID-19 pandemic. Identifying these perceptions and potential challenges allows faculty and clinic supervisors to improve their instruction for telepractice service delivery. Method: Survey data were collected from graduate clinicians (n = 23) during the onset of the COVID-19 pandemic regarding their perceptions of telepractice-based clinical service delivery. Results: All student clinicians surveyed had accrued between 1 and 15 hr of telepractice hours during the Spring 2020 semester (February-May 2020). Student clinicians were largely comfortable finding evidence to support therapies, providing basic therapeutic services, and completing clinical documentation for telepractice sessions. They noted challenges in using cloud-based computing software and selecting appropriate therapeutic intervention approaches for telepractice services. Conclusion: The findings from this study may provide insight into preservice training using telepractice and yield recommendations in integrating telepractice into early graduate training curricula.

The current study has three main purposes: to examine 1) the impact of theory-driven corrective messages using individual vs. collective frames on information-seeking intention 2) the mediating role of risk perceptions and 3) the moderating role of reflection and gender. Our findings from a randomized experimental study and Hayes' moderated, moderated mediation model show collective frames were associated with high-risk perceptions among women, which in turn led to higher information seeking intention. The second moderator reveals that people who scored higher on reflection were more willing to seek information. Our findings have critical implications for misinformation research by demonstrating the importance of theoretically driven messages in understanding misperceptions as well as people's information seeking behavior. [ABSTRACT FROM AUTHOR]

Biofuel has received worldwide attention as one of the most promising renewable energy sources. Particularly, in many countries such as the U.S. and Brazil, first-generation ethanol from corn and sugar cane has been used as automobile fuel after blending with gasoline. Nevertheless, in order to continuously increase the use of biofuels, efforts are needed to reduce the cost of biofuel production and increase its profitability. This can be achieved by increasing the efficiency of a sequential biofuel production process consisting of multiple operations such as feedstock supply, pretreatment, fermentation, distillation, and biofuel transportation. This study aims at investigating methodologies for predicting feedstock yields, which is the earliest step for stable and sustainable biofuel production. Particularly, this study reviews feedstock yield estimation approaches using machine learning technologies that focus on gradually improving estimation accuracy by using big data and computer algorithms from traditional statistical approaches. Given that it is becoming increasingly difficult to stably produce biofuel feedstocks as climate change worsens, research on developing predictive modeling for raw material supply using the latest ML techniques is very important. As a result, this study will help researchers and engineers predict feedstock yields using various machine learning techniques, and contribute to efficient and stable biofuel production and supply chain design based on accurate predictions of feedstocks. [ABSTRACT FROM AUTHOR]

Non-suicidal self-injury (NSSI) among adolescents continues to be a significant public health concern worldwide. A recent systematic review and meta-analysis found that the global prevalence of NSSI in adolescents aged 12–18 years was 17.2%, with higher rates reported among females (19.7%) than males (14.8%). This behavior has been linked to several negative outcomes, such as depression, anxiety, substance abuse, and suicidal ideation. The present study aimed to classify adolescents based on intrapersonal and interpersonal factors associated with NSSI proposed in Nock's (2009) integrated model of NSSI, to identify distinct clusters targeting specific risk factors. This encompassed negative cognition, emotional vulnerability, poor coping skill, peer-victimization, family adaptability, and perceived stress. A total of 881 adolescents aged 11–16 years in South Korea completed self-reported questionnaires on automatic thoughts, depression, emotional regulation, peer victimization, family adaptability and perceived stress. Latent profile analysis (LPA) revealed three distinct classes: "the severe group", "the moderate group", "the mild group". Class 3 ("severe group": N = 127) exhibited greater severity related to NSSI, including negative cognition, emotional vulnerability, poor coping skills, peer victimization, and perceived stress, with weaker levels of factors that can prevent NSSI compared to class 1 ("mild group": N = 416) and class 2 ("moderated group": N = 338). The present study emphasizes the importance of considering both intrapersonal (e.g., negative automatic thoughts & emotional dysregulation) and interpersonal factors (i.e., peer victimization) when understanding NSSI - among adolescents. These findings can be utilized to develop interventions aimed at reducing the prevalence and severity of NSSI among adolescents. [ABSTRACT FROM AUTHOR]

Onion (Allium cepa) is a major field vegetable in South Korea and has been produced for a long time along with cabbage, radish, garlic, and dried peppers. However, as field vegetables, including onions, have recently been imported at low prices, the profitability of onion production in South Korea is beginning to be at risk. In order to maximize farmers' profits through onion production, this study develops onion yield prediction models via an ensemble learning-based framework involving linear regression, polynomial regression, support vector regression, decision tree, ridge regression, and lasso regression. The use of nitrogen fertilizers is considered an independent variable in the development of the yield prediction model. This is because the use of nitrogen fertilizers accounts for the highest production cost (13.47%) after labor cost (41.21%) and seed cost (17.42%), and it also directly affects onions yields. For the model development, five research datasets on changes in onion yield according to changes in the use of existing nitrogen fertilizers were used. In addition, a non-linear optimization model was devised using onion yield prediction models for the profit maximization of onion production. As a result, the developed non-linear optimization model using polynomial regression enables an increase in profits from onion production by 67.28%. [ABSTRACT FROM AUTHOR]

The global healthcare market is expanding, with a particular focus on personalized care for individuals who are unable to leave their homes due to the COVID-19 pandemic. However, the implementation of personalized care is challenging due to the need for additional devices, such as smartwatches and wearable trackers. This study aims to develop a human body simulation that predicts and visualizes an individual's 3D body changes based on 2D images taken by a portable device. The simulation proposed in this study uses semantic segmentation and image-based reconstruction techniques to preprocess 2D images and construct 3D body models. It also considers the user's exercise plan to enable the visualization of 3D body changes. The proposed simulation was developed based on human-in-the-loop experimental results and literature data. The experiment shows that there is no statistical difference between the simulated body and actual anthropometric measurement with a p-value of 0.3483 in the paired t-test. The proposed simulation provides an accurate and efficient estimation of the human body in a 3D environment, without the need for expensive equipment such as a 3D scanner or scanning uniform, unlike the existing anthropometry approach. This can promote preventive treatment for individuals who lack access to healthcare. [ABSTRACT FROM AUTHOR]

Background: Astrocytes, one of the most resilient cells in the brain, transform into reactive astrocytes in response to toxic proteins such as amyloid beta (Aβ) in Alzheimer's disease (AD). However, reactive astrocyte-mediated non-cell autonomous neuropathological mechanism is not fully understood yet. We aimed our study to find out whether Aβ-induced proteotoxic stress affects the expression of autophagy genes and the modulation of autophagic flux in astrocytes, and if yes, how Aβ-induced autophagy-associated genes are involved Aβ clearance in astrocytes of animal model of AD. Methods: Whole RNA sequencing (RNA-seq) was performed to detect gene expression patterns in Aβ-treated human astrocytes in a time-dependent manner. To verify the role of astrocytic autophagy in an AD mouse model, we developed AAVs expressing shRNAs for MAP1LC3B/LC3B (LC3B) and Sequestosome1 (SQSTM1) based on AAV-R-CREon vector, which is a Cre recombinase-dependent gene-silencing system. Also, the effect of astrocyte-specific overexpression of LC3B on the neuropathology in AD (APP/PS1) mice was determined. Neuropathological alterations of AD mice with astrocytic autophagy dysfunction were observed by confocal microscopy and transmission electron microscope (TEM). Behavioral changes of mice were examined through novel object recognition test (NOR) and novel object place recognition test (NOPR). Results: Here, we show that astrocytes, unlike neurons, undergo plastic changes in autophagic processes to remove Aβ. Aβ transiently induces expression of LC3B gene and turns on a prolonged transcription of SQSTM1 gene. The Aβ-induced astrocytic autophagy accelerates urea cycle and putrescine degradation pathway. Pharmacological inhibition of autophagy exacerbates mitochondrial dysfunction and oxidative stress in astrocytes. Astrocyte-specific knockdown of LC3B and SQSTM1 significantly increases Aβ plaque formation and GFAP-positive astrocytes in APP/PS1 mice, along with a significant reduction of neuronal marker and cognitive function. In contrast, astrocyte-specific overexpression of LC3B reduced Aβ aggregates in the brain of APP/PS1 mice. An increase of LC3B and SQSTM1 protein is found in astrocytes of the hippocampus in AD patients. Conclusions: Taken together, our data indicates that Aβ-induced astrocytic autophagic plasticity is an important cellular event to modulate Aβ clearance and maintain cognitive function in AD mice. [ABSTRACT FROM AUTHOR]