Miracle-dz/UniFAR-FTUs huggingface dataset:
Dialectical behaviour therapy skills group including stigma management: a pilot with sexual and gender minority veterans

Abstract As a principle-driven treatment, dialectical behaviour therapy (DBT) offers concepts and strategies that can be flexibly applied to address unique types of invalidation, such as stigma experienced by marginalized groups. A pilot DBT skills training group that included material on using skills to dialectically manage the effects of stigma was conducted with four sexual and gender minority (SGM) veterans. The group included standard DBT skills along with explicitly teaching about stigma commonly faced by SGM individuals and ways to apply DBT skills to the experiences of stigma. This pilot group was conducted to determine the acceptability of such a group as well as its effects on symptoms (depression, emotion regulation), use of DBT skills in daily living, and the psychological burden of stigma-related experiences. The group was well-received by participants; outcomes suggest promising trends in reducing psychological distress and increasing use of DBT skills to cope. Implications for clinical practice using a dialectical approach to stigma management and future directions are provided. Key learning aims (1) Readers will learn about how dialectical behaviour therapy can be used to help sexual and gender minority clients effectively manage the effects of minority stress. (2) Readers will learn how taking a dialectical perspective on managing minority stress can be effective. (3) Readers will learn how delivering dialectical behaviour therapy in a manner contextualized within the clients’ experience can be effective in managing mental health symptoms.
Goals and challenges in hybrid software development approaches

The number of companies that use agile methods increases steadily. However, these companies often do not implement a pure agile approach but combine agile and plan‐based methods to so‐called hybrid development approaches. However, the development of these approaches is rather difficult for the companies, since agile and plan‐based approaches often follow opposite concepts. To benefit from agile and plan‐based approaches at the same time, the companies have to identify and address the conflicts between agile and plan‐based methods. The conflicts depend on the goals that are pursued with the implementation of agile and plan‐based methods. However, there is no overview of the exact goals that are pursued in hybrid approaches and which challenges and conflicts arise with them. Therefore, we conducted a systematic mapping study to gather and analyze the goals and challenges in hybrid development approaches. The mapping study is focused on literature that presents the actual needs and goals of companies and projects. Based on our results, we present the influence factors that cause conflicts in hybrid approaches and discuss how these conflicts can be addressed.
Neuronal cell‐based medicines from pluripotent stem cells: Development, production, and preclinical assessment

Brain degeneration and damage is difficult to cure due to the limited endogenous repair capability of the central nervous system. Furthermore, drug development for treatment of diseases of the central nervous system remains a major challenge. However, it now appears that using human pluripotent stem cell‐derived neural cells to replace degenerating cells provides a promising cell‐based medicine for rejuvenation of brain function. Accordingly, a large number of studies have carried out preclinical assessments, which have involved different neural cell types in several neurological diseases. Recent advances in animal models identify the transplantation of neural derivatives from pluripotent stem cells as a promising path toward the clinical application of cell therapies [Stem Cells Transl Med 2019;8:681‐693; Drug Discov Today 2019;24:992‐999; Nat Med 2019;25:1045‐1053]. Some groups are moving toward clinical testing in humans. However, the difficulty in selection of valuable critical quality criteria for cell products and the lack of functional assays that could indicate suitability for clinical effect continue to hinder neural cell‐based medicine development [Biologicals 2019;59:68‐71]. In this review, we summarize the current status of preclinical studies progress in this area and outline the biological characteristics of neural cells that have been used in new developing clinical studies. We also discuss the requirements for translation of stem cell‐derived neural cells in examples of stem cell‐based clinical therapy.
Two separate but interconnected pattern formation systems are required to control body-axis and head-organiser formation in Hydra

Formation of the body axes and the apical termini are fundamental steps during animal development. Here, nuclear β-catenin and canonical Wnt3 have been identified as major players in Hydra, which belongs to the early diverging phylum of cnidaria. However, both molecules have previously been assumed to be part of the same pattern formation system. In this study, we revised this view by combining mathematical modeling with previous and new experimental data demonstrating that they contribute to two largely independent de novo pattern formation systems in Hydra. Notably, β-catenin (possibly in interplay with other Wnts) appeared to act at the whole-body scale contributing to axis formation, whereas Wnt3 was involved in a downstream pathway driving small-scale patterning of the head. These results also suggest that these mechanisms may be more complex in other animals, in which axis and head formation have previously been attributed to a single pattern formation mechanism.
Temperature-induced prophage dictates evolution of virulence in bacteria

2 Environmental changes can cause strong cascading effects in species communities through altered species interactions. The highly specialized interactions 4 arising from the co-evolution of hosts and parasites such as bacteria and phages as well as their short generation times can rapidly lead to considerable evolu6 tionary responses to abiotic changes, with potential large-scale ramifications to other trophic levels. Here we report how the temperature-dependent induction of 8 a temperate phage in the bacterium Serratia marcescens resulted in both genetic and epigenetic changes in the bacterial host after experimental evolution under 10 different temperatures, and subsequently altered the virulence of the bacterium itself in an insect host. The majority of the genetic and epigenetic changes were 12 associated with the indirect effects of the phage on the bacterium rather than with the experimentally imposed thermal environments. Given the abundance 14 of temperate phages in bacterial genomes, the sensitivity of the onset of their lytic cycle to environmental conditions, and the predominance of environmental 16 changes due to climate change, our results warrant attention as a cautionary example of the dangers of predicting environmental effects on species without 18 considering complex biotic interactions.
Editorial: Marine Microbes for Contaminant Bioremediation

1 School of Ocean Science and Technology, Dalian University of Technology, Panjin, China, 2 Laboratory of Environmental Microbiology and Ecology (LEnME), Department of Life Science, National Institute of Technology Rourkela, Rourkela, India, 3 State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China, 5 School of Life Science, Liaoning Normal University, Dalian, China
Enumeration of Viable Non-Culturable Vibrio cholerae Using Droplet Digital PCR Combined With Propidium Monoazide Treatment

Many bacterial species, including Vibrio cholerae (the pathogen that causes cholera), enter a physiologically viable but non-culturable (VBNC) state at low temperature or in conditions of low nutrition; this is a survival strategy to resist environmental stress. Identification, detection, and differentiation of VBNC cells and nonviable cells are essential for both microbiological study and disease surveillance/control. Enumeration of VBNC cells requires an accurate method. Traditional counting methods do not allow quantification of VBNC cells because they are not culturable. Morphology-based counting cannot distinguish between live and dead cells. A bacterial cell possesses one copy of the chromosome. Hence, counting single-copy genes on the chromosome is a suitable approach to count bacterial cells. In this study, we developed quantitative PCR-based methods, including real-time quantitative PCR (qPCR) and droplet digital PCR (ddPCR), to enumerate VBNC V. cholerae cells by counting the numbers of single-copy genes in samples during VBNC-state development. Propidium monoazide (PMA) treatment was incorporated to distinguish dead cells from viable cells. Both PCR methods could be used to quantify the number of DNA copies/mL and determine the proportion of dead cells (when PMA was used). The methods produced comparable counts using three single-copy genes (VC1376, thyA, and recA). However, ddPCR showed greater accuracy and sensitivity than qPCR. ddPCR also allows direct counting without the need to establish a standard curve. Our study develops a PMA-ddPCR method as a new tool to quantify VBNC cells of V. cholerae. The method can be extended to other bacterial species.
Editorial: Marine Observations and Society: Pathways to Improve Public Engagement and the Science-Policy Nexus

Climate change, and the resulting global warming and acidification of the ocean is causing change to marine environments (United Nations, 2017; IPCC 2021) with serious implications for global ecosystems, food security and ocean economies (Allison and Bassett 2015; Pörtner et al., 2019). To ensure a sustainable future for all, there is a need to understand these changes and their impacts on the provision of services from the marine environment. This will also require the identification of knowledge gaps and the capacity needed to develop effective and sustained ocean observation systems that support the development of relevant responses (Evans et al., 2019; Wisz et al., 2020). Improved societal understanding of the services provided by the ocean, and how humans affect the ocean are at the core of the development and implementation of sustainable decision-making and is particularly important within the context of achieving the globally agreed sustainability targets of the Agenda 2030 for Sustainable Development (Kelly et al., 2021). In order to shift current decision making and policy development to frameworks where the ocean and the services it provides to humans are considered at every step, universal understanding across all aspects of society is needed (Wisz et al., 2020). This will require multiple approaches and strategies, tailored to individuals, sectors and regions that incorporate many disciplines, methods and technologies as many of the papers in this special issue highlight.
Multidimensional Mutational Profiling of the Indian HNSCC Sub-Population Provides IRAK1, a Novel Driver Gene and Potential Druggable Target

Head and neck squamous cell carcinomas (HNSCC) include heterogeneous group of tumors, classified according to their anatomical site. It is the sixth most prevalent cancer globally. Among South Asian countries, India accounts for 40% of HNC malignancies with significant morbidity and mortality. In the present study, we have performed exome sequencing and analysis of 51 Head and Neck squamous cell carcinoma samples. Besides known mutations in the oncogenes and tumour suppressors, we have identified novel gene signatures differentiating buccal, alveolar, and tongue cancers. Around 50% of the patients showed mutation in tumour suppressor genes TP53 and TP63. Apart from the known mutations, we report novel mutations in the genes AKT1, SPECC1, and LRP1B, which are linked with tumour progression and patient survival. A highly curated process was developed to identify survival signatures. 36 survival-related genes were identified based on the correlation of functional impact of variants identified using exome-seq with gene expression from transcriptome data (GEPIA database) and survival. An independent LASSO regression analysis was also performed. Survival signatures common to both the methods led to identification of 4 dead and 3 alive gene signatures, the accuracy of which was confirmed by performing a ROC analysis (AUC=0.79 and 0.91, respectively). Also, machine learning-based driver gene prediction tool resulted in the identification of IRAK1 as the driver (p-value = 9.7 e-08) and also as an actionable mutation. Modelling of the IRAK1 mutation showed a decrease in its binding to known IRAK1 inhibitors.
The Roles of Salience and Value in Inattention Among Children With Attention-Deficit/Hyperactivity Disorder: A Pilot Investigation

Although inattention is a key symptom subdomain of attention-deficit/hyperactivity disorder (ADHD), the mechanisms underlying this subdomain and related symptoms remain unclear. There is a need for more granular approaches that allow for greater specificity in linking disruptions in specific domains of cognitive performance (e.g., executive function and reward processing) with behavioral manifestations of ADHD. Such approaches may inform the development of more targeted therapeutic interventions. Here, we describe the results of a pilot study of elementary-aged children (ages 6–12years) with ADHD (n=50) and typically developing children (n=48) utilizing a cognitive science task designed to target two dissociable mechanisms of attentional selection: a goal-driven mechanism (i.e., reward/value-driven) and a salience-driven mechanism. Participants were asked to optimally extract and combine information about stimulus salience and value to maximize rewards. While results of this pilot study are ambiguous due to the small sample size and limited number of task trials, data suggest that neither participants with ADHD nor typically developing participants performed optimally to maximize rewards, though typically developing participants were somewhat more successful at the task (i.e., more likely to report high-value targets) regardless of task condition. Further, the manuscript examines several follow-up questions regarding group differences in task response times and group differences in task performance as related to sustained attention across the duration of the task. Finally, the manuscript examines follow-up questions related to heterogeneity in the ADHD group (i.e., age, DSM 5 presentation, and comorbid diagnosis) in predicting task performance.
The Who or the How? Species vs. Ecosystem Function Priorities in Conservation Ecology

Current conservation strategies are targeted at preserving species, without explicitly aiming at the maintenance of ecosystem functions. In a physically highly connected world, the unintentional relocation of terrestrial, marine, and microbial life is therefore unavoidable and has been an integral part of human evolution for thousands of years. Here, we challenge the default perception often shared among conservation ecologists that preserving native species at all costs and reducing the number of exotic species and their abundance is the only way to conservation and restoration success. While this strategy is valuable in cases where exotic species disrupt ecological function, there are examples where exotic species have similar functional traits to the threatened or extinct native species and can in fact help maintain the overall or target function of an ecosystem. In the race to cope with global environmental change, we argue that ecosystem function and ecosystem services need to be viewed not only through a taxonomic lens, but increasingly also through a functional, trait-based one.
Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial

Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs. Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers (n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve ≥8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures. Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index (p < 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity. Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893.
Optogenetic Activation of Arcuate Kisspeptin Neurons Generates a Luteinizing Hormone Surge-Like Secretion in an Estradiol-Dependent Manner

Traditionally, the anteroventral periventricular (AVPV) nucleus has been the brain area associated with luteinizing hormone (LH) surge secretion in rodents. However, the role of the other population of hypothalamic kisspeptin neurons, in the arcuate nucleus (ARC), has been less well characterized with respect to surge generation. Previous experiments have demonstrated ARC kisspeptin knockdown reduced the amplitude of LH surges, indicating that they have a role in surge amplification. The present study used an optogenetic approach to selectively stimulate ARC kisspeptin neurons and examine the effect on LH surges in mice with different hormonal administrations. LH level was monitored from 13:00 to 21:00 h, at 30-minute intervals. Intact Kiss-Cre female mice showed increased LH secretion during the stimulation period in addition to displaying a spontaneous LH surge around the time of lights off. In ovariectomized Kiss-Cre mice, optogenetic stimulation was followed by a surge-like secretion of LH immediately after the stimulation period. Ovariectomized Kiss-Cre mice with a low dose of 17β-estradiol (OVX+E) replacement displayed a surge-like increase in LH release during period of optic stimulation. No LH response to the optic stimulation was observed in OVX+E mice on the day of estradiol benzoate (EB) treatment (day 1). However, after administration of progesterone (day 2), all OVX+E+EB+P mice exhibited an LH surge during optic stimulation. A spontaneous LH surge also occurred in these mice at the expected time. Taken together, these results help to affirm the fact that ARC kisspeptin may have a novel amplificatory role in LH surge production, which is dependent on the gonadal steroid milieu.
Juxtacellular Labeling of Stellate, Disk and Basket Neurons in the Central Nucleus of the Guinea Pig Inferior Colliculus

We reconstructed the intrinsic axons of 32 neurons in the guinea pig inferior colliculus (IC) following juxtacellular labeling. Biocytin was injected into cells in vivo, after first analyzing physiological response properties. Based on axonal morphology there were two classes of neuron: (1) laminar cells (14/32, 44%) with an intrinsic axon and flattened dendrites confined to a single fibrodendritic lamina and (2) translaminar cells (18/32, 56%) with axons that terminated in two or more laminae in the central nucleus (ICc) or the surrounding cortex. There was also one small, low-frequency cell with bushy-like dendrites that was very sensitive to interaural timing differences. The translaminar cells were subdivided into three groups of cells with: (a) stellate dendrites that crossed at least two laminae (8/32, 25%); (b) flattened dendrites confined to one lamina and that had mainly en passant axonal swellings (7/32, 22%) and (c) short, flattened dendrites and axons with distinctive clusters of large terminal boutons in the ICc (3/32, 9%). These terminal clusters were similar to those of cortical basket cells. The 14 laminar cells all had sustained responses apart from one offset response. Almost half the non-basket type translaminar cells (7/15) had onset responses while the others had sustained responses. The basket cells were the only ones to have short-latency (7–9 ms), chopper responses and this distinctive temporal response should allow them to be studied in more detail in future. This is the first description of basket cells in the auditory brainstem, but more work is required to confirm their neurotransmitter and precise post-synaptic targets.
Glyoxalase 1 Confers Susceptibility to Schizophrenia: From Genetic Variants to Phenotypes of Neural Function

This research aimed to investigate the role of glyoxalase 1 (Glo-1) polymorphisms in the susceptibility of schizophrenia. Using the real-time polymerase chain reaction (PCR) and spectrophotometric assays technology, significant differences in Glo-1 messenger ribonucleic acid (mRNA) expression (P = 3.98 × 10−5) and enzymatic activity (P = 1.40 × 10−6) were found in peripheral blood of first-onset antipsychotic-naïve patients with schizophrenia and controls. The following receiver operating characteristic (ROC) curves analysis showed that Glo-1 could predict the schizophrenia risk (P = 4.75 × 10−6 in mRNA, P = 1.43 × 10−7 in enzymatic activity, respectively). To identify the genetic source of Glo-1 risk in schizophrenia, Glo-1 polymorphisms (rs1781735, rs1130534, rs4746, and rs9470916) were genotyped with SNaPshot technology in 1,069 patients with schizophrenia and 1,023 healthy individuals. Then, the impact of risk polymorphism on the promoter activity, mRNA expression, and enzymatic activity was analyzed. The results revealed significant differences in the distributions of genotype (P = 0.020, false discovery rate (FDR) correction) and allele (P = 0.020, FDR correction) in rs1781735, in which G > T mutation significantly showed reduction in the promoter activity (P = 0.016), mRNA expression, and enzymatic activity (P = 0.001 and P = 0.015, respectively, GG vs. TT, in peripheral blood of patients with schizophrenia) of Glo-1. The expression quantitative trait locus (eQTL) findings were followed up with the resting-state functional magnetic resonance imaging (fMRI) analysis. The TT genotype of rs1781735, associated with lower RNA expression in the brain (P < 0.05), showed decreased neuronal activation in the left middle frontal gyrus in schizophrenia (P < 0.001). In aggregate, this study for the first time demonstrates how the genetic and biochemical basis of Glo-1 polymorphism culminates in the brain function changes associated with increased schizophrenia risk. Thus, establishing a combination of multiple levels of changes ranging from genetic variants, transcription, protein function, and brain function changes is a better predictor of schizophrenia risk.