Pattern Of Disruption Research Articles

Dysgraphia and Memory: Insights into the Cognitive Mechanisms, Neural Correlates, and Intervention Strategies.

Studies regarding dysgraphia, an impairment in writing, have been receiving more attention in recent research. Most studies have broadly discussed the multiple cognitive mechanisms involved in writing and its disruption leading to dysgraphia. However, little attention has been paid to the involvement of different memory systems integral to writing and its disruption in individuals with dysgraphia. Orthographic long-term memory and orthographic working memory are the two memory systems predominantly involved in the production of written expressions, and the subsequent interruption of these memory systems often leads to varied deficit profiles of dysgraphia. These disruptions have resulted from damage in the brain caused by neural injuries, neurological disorders, or epigenetic factors. The existing studies did not probe into the nuances of the disruptions of these two memory systems in dysgraphia and associated neural pathways. In order to fill this gap, the review attempts to provide a comprehensive account of dysgraphia and its association with orthographic long-term memory and orthographic working memory by comparing and contrasting their workings and patterns of disruption in the deficit profiles of dysgraphia by probing into the underlying neural correlates. Such a detailed account brings insights into pertinent intervention strategies for improving memory systems and dysgraphia. It also helps identify the limitations of the existing intervention methods like CART, ACT, or Spell-Study-Spell, leading to the proposal of improvised neuro-targeted interventions for dysgraphia.

Sleep Efficiency and Neurocognitive Decline in Atopic Dermatitis: A Systematic Review.

Atopic dermatitis is often accompanied by a lack of sleep efficiency, which may impact neurocognitive functions. This review assesses the association between sleep quality in atopic dermatitis patients and neurocognitive decline. Databases searched included PubMed, Scopus, and Web of Science from inception to 8 January 2024, adhering to PRISMA guidelines. Cross-sectional and longitudinal studies were included. Records were screened and assessed for eligibility, with 13 studies included in the final analysis. From an initial pool of 4,529 records, 13 studies involving 272,868 participants met the inclusion criteria. The review identified a consistent pattern of sleep disruption in individuals with atopic dermatitis, which was associated with various short-term neurocognitive challenges such as impaired focus, decreased sleep efficiency, and lower IQ. Limited evidence was found for potential long-term cognitive decline associated with chronic atopic dermatitis. Lower sleep quality in atopic dermatitis is associated with neurocognitive deficits. While immediate effects are evident, further research is needed to understand potential long-term consequences. Integrating sleep management into atopic dermatitis care is imperative.

Increasing hub disruption parallels dementia severity in autosomal dominant Alzheimer’s disease

Abstract Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer’s disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-dependent degeneration as the cause of this hub vulnerability. However, two critical issues remain unresolved. First, past research has not clearly distinguished between two scenarios: hub regions facing a higher risk of connectivity disruption (targeted attack) and all regions having an equal risk (random attack). Second, human studies offering support for activity-dependent explanations remain scarce. We refined the hub disruption index to demonstrate a hub disruption pattern in functional connectivity in autosomal dominant AD that aligned with targeted attacks. This hub disruption is detectable even in preclinical stages 12 years before the expected symptom onset and is amplified alongside symptomatic progression. Moreover, hub disruption was primarily tied to regional differences in global connectivity and sequentially followed changes observed in amyloid-beta positron emission tomography cortical markers, consistent with the activity-dependent degeneration explanation. Taken together, our findings deepened the understanding of brain network organization in neurodegenerative diseases and could be instrumental in refining diagnostic and targeted therapeutic strategies for AD in the future.

Community assets in the context of COVID-19: Changes in valuation and contributions to place attachment and subjective wellbeing

ABSTRACT The COVID-19 pandemic disrupted patterns of daily life and use of community spaces. This study was completed in a municipality in the Greater Niagara Region, Ontario, to explore people-place relationships after the onset of the COVID-19 pandemic. A greater proportion of individuals perceived the way in which they value community assets had changed since the onset of the pandemic. This was supported by pre- and post-pandemic data, which found that indoor community assets were valued less in 2021 than they were in 2019, whereas outdoor community assets were valued comparably. Two categories of community assets were found to contribute most to both place attachment and wellbeing during the COVID-19 pandemic: Waterfront/beaches and recreational trails/pathways. These findings emphasize the integral role of outdoor community assets in community member’s place attachment and subjective wellbeing, which could guide future investment and community development in the municipality.

Cuttlefish adopt disruptive camouflage under dynamic lighting

Many animals avoid detection or recognition using camouflage tailored to the visual features of their environment.1,2,3 The appearance of those features, however, can be affected by fluctuations in local lighting conditions, making them appear different over time.4,5 Despite dynamic lighting being common in many terrestrial and aquatic environments, it is unknown whether dynamic lighting influences the camouflage patterns that animals adopt. Here, we test whether a common form of underwater dynamic lighting, consisting of moving light bands that can create local fluctuations in the intensity of light ("water caustics"), affects the camouflage of cuttlefish (Sepia officinalis). Owing to specialized pigment cells (chromatophores) in the skin,6 these cephalopod mollusks can dynamically adjust their body patterns in response to features of their visual scene.7,8,9 Although cuttlefish resting on plain or patterned backgrounds usually expressed uniform or disruptive body patterns, respectively,10,11,12 exposure to these backgrounds in dynamic lighting induced stronger disruptive patterns regardless of the background type. Dynamic lighting increased the maximum contrast levels within scenes, and these maximum contrast levels were associated with the degree of cuttlefish disruptive camouflage. This adoption of disruptive camouflage in dynamically lit scenes may be adaptive, reducing the likelihood of detection, or alternatively, it could represent a constraint on visual processing.

Intra-abdominal infection and sepsis in immunocompromised intensive care unit patients: Disease expression, microbial aetiology, and clinical outcomes

We compared epidemiology of intra-abdominal infection (IAI) between immunocompromised and non-immunocompromised ICU patients and identified risk factors for mortality.We performed a secondary analysis on the “AbSeS” database, a prospective, observational study with IAI patients from 309 ICUs in 42 countries. Immunocompromised status was defined as either neutropenia or prolonged corticosteroids use, chemotherapy or radiotherapy in the past year, bone marrow or solid organ transplantation, congenital immunodeficiency, or immunosuppressive drugs use. Mortality was defined as ICU mortality at any time or 28-day mortality for those discharged earlier. Associations with mortality were assessed by logistic regression.The cohort included 2589 patients of which 239 immunocompromised (9.2 %), most with secondary peritonitis. Among immunocompromised patients, biliary tract infections were less frequent, typhlitis more frequent, and IAIs were more frequently healthcare-associated or early-onset hospital-acquired compared with immunocompetent patients. No difference existed in grade of anatomical disruption, disease severity, organ failure, pathogens, and resistance patterns. Septic shock was significantly more frequent in the immunocompromised population. Mortality was similar in both groups (31.1% vs. 28.9 %; p = 0.468). Immunocompromise was not a risk factor for mortality (OR 0.98, 95 % CI 0.66–1.43). Independent risk factors for mortality among immunocompromised patients included septic shock at presentation (OR 6.64, 95 % CI 1.27–55.72), and unsuccessful source control with persistent inflammation (OR 5.48, 95 % CI 2.29–12.57). In immunocompromised ICU patients with IAI, short-term mortality was similar to immunocompetent patients, despite the former presented more frequently with septic shock, and septic shock and persistent inflammation after source control were independent risk factors for death.

Unveiling Off-Target Mutations in CRISPR Guide RNAs: Implications for Gene Region Specificity.

The revolutionary CRISPR-Cas9 technology has revolutionized genetic engineering, and it holds immense potential for therapeutic interventions. However, the presence of off-target mutations and mismatch capacity poses significant challenges to its safe and precise implementation. In this study, we explore the implications of off-target effects on critical gene regions, including exons, introns, and intergenic regions. Leveraging a benchmark dataset and using innovative data preprocessing techniques, we have put forth the advantages of categorical encoding over one-hot encoding in training machine learning classifiers. Crucially, we use latent class analysis (LCA) to uncover subclasses within the off-target range, revealing distinct patterns of gene region disruption. Our comprehensive approach not only highlights the critical role of model complexity in CRISPR applications but also offers a transformative off-target scoring procedure based on ML classifiers and LCA. By bridging the gap between traditional target-off scoring and comprehensive model analysis, our study advances the understanding of off-target effects and opens new avenues for precision genome editing in diverse biological contexts. This work represents a crucial step toward ensuring the safety and efficacy of CRISPR-based therapies, underscoring the importance of responsible genetic manipulation for future therapeutic applications.

A new species of Metron Godman, 1900 (Lepidoptera, Hesperiidae) from the western Amazon, with a unique hindwing color pattern in Hesperiina, its phylogenetic placement, and an illustrated key for the genus

Metron mentor Dolibaina, O. Mielke & Casagrande, sp. nov. is described from the western Amazon of Brazil, Peru, and Venezuela. The wide white area covering part of the hindwing and body of the new species is unique in Hesperiina and is hypothesized to create a disruptive pattern when the insect is at rest, resembling a bird dropping. Based on genomic data, Metron mentor sp. nov. is recovered as a sister species of all the known species of Metron Godman, 1900. This hypothesis suggests that the similar ventral hindwing of M. mentor sp. nov. to species formerly in Metron and Propertius Evans, 1955, but currently in Metrocles Godman, 1900 may be plesiomorphic. The new species is illustrated and described, a phylogenomic hypothesis for Metron is presented, and an illustrated key for both sexes (when known) is given for all the species and subspecies in the genus.

The Effect of Aromatherapy with Lavender Essential Oil on the Sleep and Fatigue Level of Patients with Multiple Sclerosis in Turkey: A Randomized Controlled Trial.

Fatigue is a common problem in patients with multiple sclerosis (MS) and is one of the most serious symptoms of the disease. Although many factors play a role in the etiology of fatigue in patients with MS, it has been reported that fatigue is caused by irregular or disrupted sleep patterns. The purpose of the study was to examine the effects of lavender oil aromatherapy on the sleep and fatigue of MS patients. The study was designed as a randomized controlled trial and was conducted in Turkey. The data of the study were collected using the Patient Description Form, Fatigue Severity Scale, and Pittsburgh Sleep Quality Index. The mean FSS score in the experimental group was 6.86 ± 0.94 before the procedure and 3.42 ± 0.85 after the procedure, the mean PSQI score was 9.45 ± 1.23 before the procedure and 6.68 ± 2.87 after the procedure, and the difference in the mean scores between the two groups was found to be statistically significant (P < 0.001). The results showed that aromatherapy with lavender essential oil has significant impacts on fatigue and sleep in MS patients. Lavender essential oil aromatherapy can be used by nurses as an independent nursing practice. It is an inexpensive, noninvasive, and reliable technique to manage fatigue in individuals with MS.

Closing the Loop: Exploring Food Waste Management in the Near East and North Africa (NENA) Region during the COVID-19 Pandemic

The COVID-19 pandemic disrupted global food waste patterns through unanticipated shifts in composition and quantities. This review explores the impacts of COVID-19 on food waste generation and management approaches in the Near East and North Africa (NENA) region during the recovery phase. This paper comprehensively explores food loss and waste in the NENA region. It presents a detailed analysis of pandemic-induced changes in household food waste behaviors, analyses the integration of circular economy principles in recovery strategies and policy implications, and outlines potential avenues for future research in this critical area. The key findings are threefold: First, this study reaffirms that food waste is a critical challenge in NENA, contributing to food insecurity, water scarcity, and environmental issues. Second, the pandemic catalyzed a dichotomy in consumer behaviors—panic buying initially increased waste, while hardship measures later encouraged sustainable waste reduction practices like meal planning and leftover use. Third, adopting a circular economy approach holds potential, yet its implementation remains limited in terms of curbing food waste and promoting sustainability in NENA. Overall, while the pandemic accentuated the urgency of tackling food waste, it also stimulated innovative policy thinking and strategic planning for building more resilient food systems. This paper concludes that leveraging pandemic-driven sustainability mindsets while addressing systemic drivers of waste will be key to mitigating food waste and its impacts moving forward. This paper offers timely insights into the evolving food waste management landscape in NENA, underscoring the need for integrated policies to navigate post-pandemic recovery effectively.

Phenotypic selection patterns in a hybrid zone between two Calceolaria species with contrasting pollinators: insights from field surveys and fitness assessments.

Hybrid zones provide natural experimental settings to test hypotheses about species divergence. We concentrated on a hybrid swarm in which oil-collecting bees and flower-pecking birds act as pollinators of two Calceolaria species. We asked whether both pollinators contributed to flower divergence by differentially promoting prezygotic fitness at the phenotypic extremes that represent parentals. We studied pollinator-mediated selection on phenotypic traits critical in plant-pollinator mechanical interaction, namely plant height, reward-to-stigma distance, and flower shape. We utilised the quantity and quality of pollen deposited as fitness measures and distinguished between the contribution of the two pollinator types. Results showed uni- and bivariate disruptive selection for most traits through pollen grains deposited by both pollinators. Bird-mediated fitness favoured low plants with a long reward-to-stigma distance and a straight corolla, while bee-mediated fitness favoured tall plants with a short reward-to-stigma distance and curved corolla. In addition, stabilising selection at one end of the phenotypic range showed a bird-mediated reproductive asymmetry within the swarm. The disruptive pattern was countered, albeit weakly, by hybrids receiving higher-quality pollen on the stigmas. Results suggest that pollinator-mediated selection promotes divergence of integrated flower phenotypes mechanically adjusted either to bees or birds underscoring the importance of pollinator specialisation in diversification.

0670 Patterns of Nocturnal Sleep Disruption: Differentiating IH from NT2 Using Cluster Analysis

0670 Patterns of Nocturnal Sleep Disruption: Differentiating IH from NT2 Using Cluster Analysis

Comprehensive Proteomic Profiling of Aqueous Humor in Idiopathic Uveitis and Vogt-Koyanagi-Harada Syndrome.

Idiopathic uveitis (IU) and Vogt-Koyanagi-Harada (VKH) syndrome are common types of uveitis. However, the exact pathological mechanisms of IU and VKH remain unclear. Proteomic analysis of aqueous humor (AH), the most easily accessible intraocular fluid and a key site of uveitis development, may reveal potential biomarkers and elucidate uveitis pathogenesis. In this study, 44 AH samples, including 12 IU cases, 16 VKH cases, and 16 controls, were subjected to label-free quantitative proteomic analysis. We identified 557 proteins from a comprehensive spectral library of 634 proteins across all samples. The AH proteomic profiles of the IU and VKH groups were different from those of the control group. Differential analysis revealed a shared pattern of extracellular matrix disruption and downregulation of retinal cellular proteins in the IU and VKH groups. Enrichment analysis revealed a protein composition indicative of inflammation in the AH of the IU and VKH groups but not in that of the control group. In the IU and VKH groups, innate immunity played an important role, as indicated by complement cascade activation and overexpression of innate immune cell markers. Extreme gradient boosting (XGBoost), an efficient and robust machine learning algorithm, was subsequently used to screen potential biomarkers for classifying the IU, VKH, and control groups. Transferrin and complement factor B were deemed the most important and represent a promising biomarker panel. These proteins were validated by high-resolution multiple reaction monitoring (HR-MRM) in an independent validation cohort. A classification decision tree was subsequently built for the diagnosis. Our findings further the understanding of the underlying molecular mechanisms in IU and VKH and facilitate the development of potential therapeutic and diagnostic strategies.

Temporal and spatial patterns of fire regime disruption in conifer forests of western North America

ABSTRACT Temporal and spatial patterns of fire regime disruption were reconstructed in conifer forests of western North America from information on pre-disruption and disrupted mean fire intervals (MFIs) of 498 dendrochronology-based fire chronologies. We identified the conifer forest types most affected by MFI shift and the influence of land category designation on MFI change. We also mapped the years of the MFI shift, the last fire recorded, and disrupted/pre-disruption MFI ratios. Fire cessation and longer MFIs predominated in most fire chronologies and conifer forest types. MFI was significantly higher in most conifer forest types, with most differences in dry conifer forests. MFI shift occurred mainly before the designation of protected, federal, social-property, and private areas. MFI shift began in 1829 in the United States of America Southwest, a region subjected to prolonged fire exclusion and with the highest disrupted/pre-disruption MFI ratios. Fire regime disruption moved gradually into the Pacific Northwest and the Sierra Nevada until reaching the northern conifer forests of Canada and Alaska. In contrast, one-third of fire chronologies in Mexican conifer forests retained pre-disruption MFIs. Our findings allowed us to identify areas with MFIs outside of their natural variability, with prolonged fire exclusion, or with intact fire regimes.

The analysis of performance due to impact of bullwhip effect in Covid: select Indian sector perspective

Purpose The purpose of the study is to analyze and measure the impact of disruption in demand which causes the bullwhip effect. The bullwhip effect impacts the performance of firm. Just like everything else, covid has had an impact on the disruption of supply chain too leading to the need of measuring the bullwhip effect of select Indian sectors. The comparison on bullwhip effect is drawn in pre- and during covid era in major sectors. The study helps to understand, analyze and measure the impact of covid and its challenges to supply chain. Design/methodology/approach The empirical study is carried out on five major select Indian sectors which have the largest market capitalization in Indian economy, namely, FMCG (fast-moving consumer goods), automobile, utility, consumer durable and IT (information technology). The disruption in the supply chain is measured in terms of bullwhip effect. The novel metric ratio of bullwhip effect is computed which is based on demand–supply mismatch and analyzed based on 10 years of observations. The data is analyzed twice, first from 2011 to 2019 (pre-covid era) and second from 2019 to 2021 (during covid era). Each time, Bombay Stock Exchange (BSE) sectoral indices are used to compute the bullwhip ratio, and empirical data is collected using Prowess. The firms listed in BSE represent most of the sector. Such panel data helps us to analyze inter- and intraindustry bullwhip effect. The changes in the bullwhip effect for various BSE listed firms are analyzed pre- and during covid era. These changes are specifically studied at the manufacturer end of the supply chain. Later regression analysis is performed to study the changes required in production based on the demand. The various strategies that cause or mitigate the impact of covid in intraindustry can be derived from the study. The disruption in production is analyzed based on the disruption in demand and profit before interest and tax (PBIT). Findings In pre-covid era, the percentage of demand disruption was low in select sectors but not exactly zero. Covid caused the disruptions in supply chain across the globe which resulted in bullwhip effect in Indian sectors too. Yet some of the sectors were able to cope better with the situation as compared to others. In the present study, same is analyzed statistically, and results are derived for practical significance. Research limitations/implications The empirical data is having the observations of past 10 years to analyze the pattern of demand disruption in the firms and hence the sectors. The impact of covid is studied on performance, which is analyzed in terms of PBIT. The impact of other factors (political, social, marketing policies, etc.) that may cause disruption in the supply chain of a firm is not considered in the study. Originality/value Study is unique, as it measures disruption and provides a peerless way to study the inter- and intrasectors. To analyze the impact of bullwhip effect on sector performance, it is very much required to first measure the bullwhip; this measure of bullwhip as a ratio of the slopes of demand and supply is a novel approach. The study emphasizes that the impact of covid is not the same among the firms, and hence among the sectors. Also, it is found that the impact of such adversities can be mitigated, and performance of firm can remain intact in turbulent times too.

Associations between transdiagnostic traits of psychopathology and hybrid posttraumatic stress disorder factors in a trauma-exposed community sample.

Dimensional conceptualizations of psychopathology hold promise for understanding the high rates of comorbidity with posttraumatic stress disorder (PTSD). Linking PTSD symptoms to transdiagnostic dimensions of psychopathology may enable researchers and clinicians to understand the patterns and breadth of behavioral sequelae following traumatic experiences that may be shared with other psychiatric disorders. To explore this premise, we recruited a trauma-exposed online community sample (N = 462) and measured dimensional transdiagnostic traits of psychopathology using parceled facets derived from the Personality Inventory for DSM-5 Faceted-Short Form. PTSD symptom factors were measured using the PTSD Checklist for DSM-5 and derived using confirmatory factor analysis according to the seven-factor hybrid model (i.e., Intrusions, Avoidance, Negative Affect, Anhedonia, Externalizing Behaviors, Anxious Arousal, And Dysphoric Arousal). We observed hypothesized associations between PTSD factors and transdiagnostic traits indicating that some transdiagnostic dimensions were associated with nearly all PTSD symptom factors (e.g., emotional lability: rmean =.35), whereas others showed more unique relationships (e.g., hostility-Externalizing Behavior: r =.60; hostility with other PTSD factors: rs =.12-.31). All PTSD factors were correlated with traits beyond those that would appear to be construct-relevant, suggesting the possibility of indirect associations that should be explicated in future research. The results indicate the breadth of trait-like consequences associated with PTSD symptom exacerbation, with implications for case conceptualization and treatment planning. Although PTSD is not a personality disorder, the findings indicate that increased PTSD factor severity is moderately associated with different patterns of trait-like disruptions in many areas of functioning.

Uncovering brain functional connectivity disruption patterns of lung cancer-related pain.

Pain is a pervasive symptom in lung cancer patients during the onset of the disease. This study aims to investigate the connectivity disruption patterns of the whole-brain functional network in lung cancer patients with cancer pain (CP+). We constructed individual whole-brain, region of interest (ROI)-level functional connectivity (FC) networks for 50 CP+ patients, 34 lung cancer patients without pain-related complaints (CP-), and 31 matched healthy controls (HC). Then, a ROI-based FC analysis was used to determine the disruptions of FC among the three groups. The relationships between aberrant FCs and clinical parameters were also characterized. The ROI-based FC analysis demonstrated that hypo-connectivity was present both in CP+ and CP- patients compared to HC, which were particularly clustered in the somatomotor and ventral attention, frontoparietal control, and default mode modules. Notably, compared to CP- patients, CP+ patients had hyper-connectivity in several brain regions mainly distributed in the somatomotor and visual modules, suggesting these abnormal FC patterns may be significant for cancer pain. Moreover, CP+ patients also showed increased intramodular and intermodular connectivity strength of the functional network, which could be replicated in cancer stage IV and lung adenocarcinoma. Finally, abnormal FCs within the prefrontal cortex and somatomotor cortex were positively correlated with pain intensity and pain duration, respectively. These findings suggested that lung cancer patients with cancer pain had disrupted connectivity in the intrinsic brain functional network, which may be the underlying neuroimaging mechanisms.

Developmental exposure to pesticides that disrupt retinoic acid signaling causes persistent retinoid and behavioral dysfunction in zebrafish.

Early developmental exposure to environmental toxicants may play a role in the risk for developing autism. A variety of pesticides have direct effects on retinoic acid (RA) signaling and as RA signaling has important roles in neurodevelopment, such compounds may cause developmental neurotoxicity through an overlapping adverse outcome pathway. It is hypothesized that a pesticide's embryonic effects on retinoid function may correspond with neurobehavioral disruption later in development. In the current studies, we determined the effects of RA-acting pesticides on neurobehavioral development in zebrafish. Buprofezin and imazalil caused generalized hypoactivity in the larval motility test, whereas chlorothalonil and endosulfan I led to selective hypoactivity and hyperactivity, respectively. With buprofezin, chlorothalonil, and imazalil, hypoactivity and/or novel anxiety-like behaviors persisted in adulthood and buprofezin additionally decreased social attraction responses in adulthood. Endosulfan I did not produce significant adult behavioral effects. Using qPCR analyses of adult brain tissue, we observed treatment-induced alterations in RA synthesis or catabolic genes, indicating persistent changes in RA homeostasis. These changes were compound-specific, with respect to expression directionality, and potential patterns of homeostatic disruption. Results suggest the likely persistence of disruptions in RA signaling well into adulthood and may represent compensatory mechanisms following early life stage exposures. This study demonstrates that early developmental exposure to environmental toxicants that interfere with RA signaling causes short as well as long-term behavioral disruption in a well-established zebrafish behavioral model and expand upon the meaning of the RA adverse outcome pathway, indicating that observed effects likely correspond with the nature of underlying homeostatic effects.

Technology-Assisted Parenting Intervention Plus Therapist Coaching: A Pilot Randomized Trial in a Community Practice Setting

ABSTRACT Disruptive behaviors are the most common clinical presentation in children and adolescents, particularly among disadvantaged youth referred to community mental health clinics (CMHCs). When left unaddressed, disruptive behaviors can increase the risk of adverse mental health outcomes. While parenting interventions are known to be efficacious and efficient treatment approaches, there are many barriers to involvement in such programs, particularly for disadvantaged populations. This pilot randomized controlled trial evaluated a technology-assisted parenting intervention (Parenting Wisely, PW) with therapist coaching compared to treatment as usual (TAU) at a CMHC. Participants included 53 caregiver-adolescent dyads and 13 clinicians recruited from a CMHC. Dyads randomized to PW + therapist coaching received a multi-component intervention that utilized a technology-assisted parenting program alongside therapist coaching sessions. Feasibility/acceptability assessments were conducted and preliminary findings on parenting outcomes and adolescent behavior outcomes were collected at 3- and 6-months post-baseline. Qualitative and quantitative results supported the feasibility and acceptability of the parenting PW + therapist coaching intervention as evidenced by caregiver engagement, therapist adherence, lack of treatment withdrawals, and satisfaction ratings. Exploratory analyses did not show differences between treatment conditions for parenting and adolescent behavioral outcomes. PW + therapist coaching may be better suited for early adolescents, who are at a critical period when disruptive behavior patterns are not yet ingrained, and parents have more authority and opportunity to address family interactions. Next steps for further evaluation include testing the effectiveness, predictors, moderators, and mechanisms of treatment outcomes of PW + therapist coaching as an adjunct to usual care.

Influence of polarized light, disruptive visual patterns, and chemical cues on oviposition in the aquatic midge, Chironomus riparius (Diptera: Chironomidae).

Chironomid nonbiting midges are common in many waterbodies, occurring at high densities in sediment and also when flying adults emerge. Although important for food webs and ecosystem processes, the mass emergences of chironomid adults make some species nuisance pests. As part of an effort to develop "push-pull" strategies for managing midge populations, we investigated the importance of visual and chemical cues used by gravid females when selecting sites for oviposition. Field and laboratory oviposition choice tests with Chironomus riparius (Meigen) were used to assess the attractiveness of dark container colors and polarized light for females seeking water for egg laying. Females were not sensitive to increased intensity of polarized light, but they laid fewer eggs in containers with white color above the water's edge but black below the surface. A disruptive pattern of vertical black and white stripes at the water's edge reduced egg laying to a similar degree as white. To investigate the importance of olfactory or gustatory cues in oviposition decisions, we tested 3 potential chemical repellents (damaged larvae simulating predator presence, azadiractin, and picaridin) and 5 potential attractants (a tannin-molasses mixture, leaf detritus, live Hydrilla plants, periphyton, and fermented alfalfa infusions used to bait mosquito oviposition traps). Chemical cues appeared to play a weak role, if any, in oviposition choices. Onlyazadiractin (0.02 and 0.11 ppm) reduced the number of egg ropes deposited, but the mechanism may have been from mechanical trapping and drowning, not deterrence.