Organizational Context and Facilitation Interactions on Delirium Risk in Long-Term Care: A Cross-Sectional Study.

OBJECTIVES: Organizational context (eg, leadership) and facilitation (eg, coaching behaviors) are thought to interact and influence staff best practices in long-term care (LTC), including the management of delirium. Our objective was to assess if organizational context and facilitation-individually, and their interactions-were associated with delirium in LTC. DESIGN: Retrospective cross-sectional analysis of secondary data. SETTING AND PARTICIPANTS: We included 8755 residents from 281 care units in 86 LTC facilities in 3 Canadian provinces. METHODS: Delirium (present/absent) was assessed using the Resident Assessment Instrument-Minimum Data Set 2.0 (RAI-MDS 2.0). The Alberta Context Tool (ACT) measured 10 modifiable features of care unit organizational context. We measured the care unit's total care hours per resident day and the proportion of care hours that care aides contributed (staffing mix). Facilitation included the facility manager's perception of RAI-MDS reports' adequacy and pharmacist availability. We included unit managers' change-oriented organizational citizenship behavior (OCB) and an item reflecting how often care aides recommended policy changes. Associations of organizational context, facilitation, and their interactions with delirium were analyzed using mixed-effects logistic regressions, controlling for covariates. RESULTS: Delirium symptoms were prevalent in 17.4% of residents (n = 1527). Manager-perceived adequacy of RAI-MDS reports was linked to reduced delirium symptoms (odds ratio [OR] = 0.63). Higher care hours per resident day (OR = 1.2) and an available pharmacist in the facility (OR = 1.5) were associated with increased delirium symptoms. ACT elements showed no direct association with delirium. However, on care units with low social capital scores (context), increased unit managers' OCB decreased delirium symptoms. On care units with high vs low evaluation scores (context), increased staffing mix reduces delirium symptoms more substantially. CONCLUSIONS AND IMPLICATIONS: Unit-level interactions between organizational context and facilitation call for targeted quality improvement interventions based on specific contextual factors, as effectiveness may vary across contexts.

Towards understanding the role of content-based and contextualized features in detecting abuse on Twitter.

This paper presents a novel approach for detecting abuse on Twitter. Abusive posts have become a major problem for social media platforms like Twitter. It is important to identify abuse to mitigate its potential harm. Many researchers have proposed methods to detect abuse on Twitter. However, most of the existing approaches for detecting abuse look only at the content of the abusive tweet in isolation and do not consider its contextual information, particularly the tweets posted before the abusive tweet. In this paper, we propose a new method for detecting abuse that uses contextual information from the tweets that precede and follow the abusive tweet. We hypothesize that this contextual information can be used to better understand the intent of the abusive tweet and to identify abuse that content-based methods would otherwise miss. We performed extensive experiments to identify the best combination of features and machine learning algorithms to detect abuse on Twitter. We test eight different machine learning classifiers on content- and context-based features for the experiments. The proposed method is compared with existing abuse detection methods and achieves an absolute improvement of around 7%. The best results are obtained by combining the content and context-based features. The highest accuracy of the proposed method is 86%, whereas the existing methods used for comparison have highest accuracy of 79.2%.

An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study.

BACKGROUND: Large language models (LLMs) have shown remarkable capabilities in natural language processing (NLP), especially in domains where labeled data are scarce or expensive, such as the clinical domain. However, to unlock the clinical knowledge hidden in these LLMs, we need to design effective prompts that can guide them to perform specific clinical NLP tasks without any task-specific training data. This is known as in-context learning, which is an art and science that requires understanding the strengths and weaknesses of different LLMs and prompt engineering approaches. OBJECTIVE: The objective of this study is to assess the effectiveness of various prompt engineering techniques, including 2 newly introduced types-heuristic and ensemble prompts, for zero-shot and few-shot clinical information extraction using pretrained language models. METHODS: This comprehensive experimental study evaluated different prompt types (simple prefix, simple cloze, chain of thought, anticipatory, heuristic, and ensemble) across 5 clinical NLP tasks: clinical sense disambiguation, biomedical evidence extraction, coreference resolution, medication status extraction, and medication attribute extraction. The performance of these prompts was assessed using 3 state-of-the-art language models: GPT-3.5 (OpenAI), Gemini (Google), and LLaMA-2 (Meta). The study contrasted zero-shot with few-shot prompting and explored the effectiveness of ensemble approaches. RESULTS: The study revealed that task-specific prompt tailoring is vital for the high performance of LLMs for zero-shot clinical NLP. In clinical sense disambiguation, GPT-3.5 achieved an accuracy of 0.96 with heuristic prompts and 0.94 in biomedical evidence extraction. Heuristic prompts, alongside chain of thought prompts, were highly effective across tasks. Few-shot prompting improved performance in complex scenarios, and ensemble approaches capitalized on multiple prompt strengths. GPT-3.5 consistently outperformed Gemini and LLaMA-2 across tasks and prompt types. CONCLUSIONS: This study provides a rigorous evaluation of prompt engineering methodologies and introduces innovative techniques for clinical information extraction, demonstrating the potential of in-context learning in the clinical domain. These findings offer clear guidelines for future prompt-based clinical NLP research, facilitating engagement by non-NLP experts in clinical NLP advancements. To the best of our knowledge, this is one of the first works on the empirical evaluation of different prompt engineering approaches for clinical NLP in this era of generative artificial intelligence, and we hope that it will inspire and inform future research in this area.

Primary care-based screening and recruitment for an adolescent depression prevention trial: Contextual considerations during a youth mental health crisis.

Background: Rising rates of adolescent depression in the wake of COVID-19 and a youth mental health crisis highlight the urgent need for accessible mental healthcare and prevention within primary care. Digital mental health interventions (DMHIs) may increase access for underserved populations. However, these interventions are not well studied in adolescents, nor healthcare settings. The purpose of this study was to identify barriers and facilitators to screening and recruitment activities for PATH 2 Purpose (P2P): Primary Care and Community-Based Prevention of Mental Disorders in Adolescents, a multi-site adolescent depression prevention trial comparing two digital prevention programs within four diverse health systems in two U.S. states. Method: This qualitative study is a component of a larger Hybrid Type I trial. We conducted semi-structured key informant interviews with clinical and non-clinical implementers involved with screening and recruitment for the P2P trial. Informed by the Consolidated Framework for Implementation Research (CFIR), interviews were conducted at the midpoint of the trial to identify barriers, facilitators, and needed adaptations, and to gather information on determinants that may affect future implementation. Findings: Respondents perceived the P2P trial as valuable, well aligned with the mission of their health systems. However, several barriers were identified, many of which stemmed from influences outside of the healthcare settings. Universal and site-specific outer setting influences (COVID-19 pandemic, youth mental health crisis, local community conditions) interacted with Inner Setting and Innovation domains to create numerous challenges to the implementation of screening and recruitment. Conclusion: Our findings emphasize the need for ongoing, comprehensive assessment of dynamic inner and outer setting contexts prior to and during implementation of clinical trials, as well as flexibility for adaptation to unique clinical contexts. The CFIR is useful for assessing determinants during times of rapid inner and outer setting change, such as those brought on by the COVID-19 pandemic, youth mental health crisis, and the corresponding exacerbation of resource strain within healthcare settings. Clinical trial registration: PATH 2 Purpose: Primary Care and Community-Based Prevention of Mental Disorders in Adolescents https://www.clinicaltrials.gov/study/NCT04290754.

Adolescent mental health problems such as depression, anxiety, and suicidal behavior are prevalent, and have been increasing in the wake of the COVID-19 pandemic. In 2021, the Surgeon General declared a "youth mental health crisis," and the American Academy of Pediatrics issued a joint statement declaring a national youth mental health emergency. Accessible, affordable, evidence-based interventions are needed to prevent the development of depressive symptoms into major depressive disorder. The integration of digital mental health interventions (DMHIs) into primary care may reduce access barriers. Primary care clinical settings are well suited to identify individuals at-risk for developing depression, and facilitate preventive treatment planning. While preventive DMHIs for adolescents exist, more evidence is needed on their effectiveness, and how to best integrate them into healthcare. Our study team interviewed primary care-based staff, administrators, and clinical providers involved with implementing screening and recruitment activities for the P2P trial, a randomized controlled trial comparing the effectiveness of two digital depression prevention programs. Respondents shared experiences with trial recruitment in their settings, including perceived challenges. Our findings suggest that multiple factors influenced recruitment, including influences situated outside of the clinical settings, such as the COVID-19 pandemic and worsening adolescent mental health. These influences interacted with factors affecting recruitment inside of health clinics, such as demands on staff and provider time, and perceived importance of prevention programming versus other initiatives. Identifying these influencing factors during the trial helps to inform considerations for planning future integration of similar programs into primary care settings.

Flexible and fine-grained simulation of speed in language processing.

According to the embodied cognition theory, language comprehension is achieved through mental simulation. This account is supported by a number of studies reporting action simulations during language comprehension. However, which details of sensory-motor experience are included in these simulations is still controversial. Here, three experiments were carried out to examine the simulation of speed in action language comprehension. Experiment 1 adopted a lexical decision task and a semantic similarity judgment task on isolated fast and slow action verbs. It has been shown that fast action verbs were processed significantly faster than slow action verbs when deep semantic processing is required. Experiment 2 and Experiment 3 investigated the contextual influence on the simulation of speed, showing that the processing of verbs, either depicting fast actions or neutral actions, would be slowed down when embedded in the slow action sentences. These experiments together demonstrate that the fine-gained information, speed, is an important part of action representation and can be simulated but may not in an automatic way. Moreover, the speed simulation is flexible and can be modulated by the context.

The Healthy Context Paradox Between Bullying and Emotional Adaptation: A Moderated Mediating Effect.

Introduction: Bullying is a significant concern for young people, with studies consistently showing a link between bullying and negative emotional consequences. However, the mechanisms that underlie this association remain unclear, particularly in terms of the classroom environment. This study aimed to explore the paradoxical phenomenon between bullying victimization and emotional adaptation among junior high school students in China, using the hypothesis of the healthy context paradox. Methods: The study involved 880 students (565 girls; Mage=14.69; SD=1.407 years), and data were collected using self-reported surveys. The findings of the study, utilizing multilevel structural equation modeling (MSEM) techniques, demonstrated a cross-level moderated effect of classroom-level bullying victimization on the relationship between individual bullying victimization and emotional adaptation. Results: Specifically, the results indicated that in classrooms with higher levels of victimization, the association between individual bullying victimization and increased depressive symptoms and State&Trait anxiety was more pronounced. These findings support the "Healthy context paradox" hypothesis in the Chinese context and provide insight into the mechanisms underlying this phenomenon. Discussion: The results suggest that the classroom environment plays a crucial role in shaping the emotional consequences of bullying and that addressing classroom victimization is crucial for promoting emotional health among young people. By understanding the mechanisms that underlie the association between bullying and emotional consequences, interventions can be developed to target the underlying factors that contribute to this paradoxical phenomenon. Overall, the study provides new insights into the complex relationship between bullying and emotional health among young people, highlighting the importance of considering the classroom environment in addressing this issue.

Post-traumatic Stress Disorder: The Influence of the Environmental Context and Analysis of Oxidative Stress and Inflammatory and Glycemic Markers in Women Living in Kurdistan Regional Government-Iraq.

Background Internally displaced persons (IDP) camps are still home to a large number of female survivors of the Yazidi genocide carried out in Iraq in 2014 by the Islamic organization known as the Islamic State of Iraq and Syria (ISIS). Many of these women suffer from a persistent form of post-traumatic stress disorder (PTSD), which can last for many years. On the other hand, little is known about the intricate etiology of PTSD. Objectives In this observational cross-sectional study, the biochemical parameters, including inflammatory and oxidative stress (OXS) markers, were evaluated in two groups: the case group (women with newly diagnosed PTSD) and the control group (apparently healthy women). Furthermore, how the environment impacts the biochemical and OXS parameters of people not diagnosed with PTSD but living in IDP camps was also analyzed. Materials and methods The PTSD group (n=55, age=30.0 years) was made up of women survivors of genocide-related events living in IDP camps in the Kurdistan region of Iraq. The studied parameters in the PTSD group have been compared to two healthy control groups: (1) internal control group (n=55, age=28.1 years): healthy women living inside the IDP camps; and (2) external control group (n=55, age=28.3 years): healthy women living outside the IDP camps. The diagnosis of PTSD was conducted using a validated Kurdish version of the PTSD Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) (PCL-5) scale. Blood samples were collected to determine the level of glycated hemoglobin (HbA1c) and the concentrations of fasting serum glucose (FSG), C-reactive protein (CRP), ceruloplasmin (CP), 8-hydroxydeoxyguanosine (8-OHdG), glutathione (GSH), malondialdehyde (MDA), protein carbonyls (PC), and catalase (CAT) activity. Results Women with PTSD presented increased values of FSG (4.41%, p<0.05), HbA1c (4.74%, p<0.05), and CRP (114.29%, p<0.05), as well as increased levels of 8-OHdG (185.97%, p<0.001), CP (27.08%, p<0.001), MDA (141.97%, p<0.001), and PC (63.01%, p<0.001), besides increased CAT activity (121.5%, p<0.001), when compared with the control groups. A significant reduction of GSH (-20.33%, p<0.05) was observed in PTSD patients as compared to the external control group. In relation to the internal control group, women diagnosed with PTSD presented significantly increased levels of FSG (3.88%, p<0.05), HbA1c (2.83%, p<0.05), CRP (77.97%, p<0.05), and PC (41.3%, p<0.05), as well as increased levels of 8-OHdG (118.84%, p<0.001), CP (22.72%, p<0.001), MDA (90.67%, p<0.001), and CAT activity (55.31%, p<0.001). Healthy individuals residing in IDP camps, compared with external healthy control, presented significantly elevated levels of 8-OHdG (30.68%, p<0.001), MDA (26.91%, p<0.001), PC (15.37%, p<0.001), and CAT activity (42.62%, p<0.001). Conclusion Our findings indicate that PTSD significantly influences glycemic, inflammatory, oxidant, and antioxidant parameters, as evidenced by increased levels of FSG, HbA1C, CRP, PC, MDA, 8-OHdG, and CP, as well as increased CAT activity and a reduced GSH concentration in the PTSD group in comparison to the external control group. Additionally, our results suggest that the environmental context in IDP camps by itself can potentially affect oxidant and antioxidant parameters, as evidenced by the increased concentrations of 8-OHdG, MDA, and PC and increased CAT activity found in individuals not diagnosed with PTSD but living inside the camps.

Evaluating Need Crafting: Scale Validation and Workplace Implications.

Basic psychological need crafting assumes that need-based experiences are enhanced through intentional behavior and thought changes. Despite its known benefits outside of the work context, need crafting instruments designed for this context, and the implications of need crafting for employee functioning, remain underexplored. Thus, this study set out to adapt and validate the need crafting scale (NCS) among employees (n = 229). Results supported the construct, discriminant validity, and criterion validity of the NCS. The research also revealed that, through need crafting, employees reported enhanced experiences related to their needs, which led to higher work effort and engagement and a reduced desire to leave their jobs. Additionally, the different types of need crafting had differential direct effects on employee functioning, supporting a more nuanced understanding of the construct. As the first of its kind, the study underpins the relevance and generalizability of the NCS and need crafting in the workplace.

Tactile processing in mouse cortex depends on action context.

The brain receives constant tactile input, but only a subset guides ongoing behavior. Actions associated with tactile stimuli thus endow them with behavioral relevance. It remains unclear how the relevance of tactile stimuli affects processing in the somatosensory (S1) cortex. We developed a cross-modal selection task in which head-fixed mice switched between responding to tactile stimuli in the presence of visual distractors or to visual stimuli in the presence of tactile distractors using licking movements to the left or right side in different blocks of trials. S1 spiking encoded tactile stimuli, licking actions, and direction of licking in response to tactile but not visual stimuli. Bidirectional optogenetic manipulations showed that sensory-motor activity in S1 guided behavior when touch but not vision was relevant. Our results show that S1 activity and its impact on behavior depend on the actions associated with a tactile stimulus.

CD44 and RHAMM Are Microenvironmental Sensors with Dual Metastasis Promoter and Suppressor Functions.

The progression of primary tumors to metastases remains a significant roadblock to the treatment of most cancers. Emerging evidence has identified genes that specifically affect metastasis and are potential therapeutic targets for managing tumor progression. However, these genes can have dual tumor promoter and suppressor functions that are contextual in manifestation, and that complicate their development as targeted therapies. CD44 and RHAMM/HMMR are examples of multifunctional proteins that can either promote or suppress metastases, as demonstrated in experimental models. These two proteins can be viewed as microenvironmental sensors and this minireview addresses the known mechanistic underpinnings that may determine their metastasis suppressor versus promoter functions. Leveraging this mechanistic knowledge for CD44, RHAMM, and other multifunctional proteins is predicted to improve the precision of therapeutic targeting to achieve more effective management of metastasis.

Learned switch readiness via concurrent activation of task sets: Evidence from task specificity and memory load.

Cognitive flexibility increases when switch demands increase. In task switching experiments, repeated pairing of flexibility-demanding situations with specific contexts leads subjects to become more prepared to adapt to changing task demands in those contexts. One form of such upregulated cognitive flexibility has been demonstrated with a list-wide switch probability (LWSP) effect, where switch costs are smaller in lists with frequent switches than in lists with rare switches. According to a recent proposal, the LWSP effect is supported by a concurrent activation mechanism whereby both task rules are kept available simultaneously in working memory. We conducted four experiments to test two key features in this concurrent activation account of LWSP effects. First, we asked whether the LWSP effects are limited to only the trained tasks, and second, we asked whether concurrent working memory load would reduce the LWSP effects. In Experiment 1, we replicated and extended previous findings that the LWSP manipulation modulates both performance (switch costs) and voluntary switch rates, indicating that context-driven increases in flexibility are generalizable so long as the task-sets remain the same. Results of Experiments 2 and 3 showed that novel tasks do not benefit from the concurrent activation of the two other tasks, suggesting that the LWSP effect is task specific. Experiment 4 showed that holding additional information in working memory reduces the LWSP effect. While these findings support the hypothesis of concurrent activation underlying the increased flexibility in the LWSP effect, caveats remain; additional research is needed to further test this account.

The sociocultural influences in Lawrence Kohlberg's life: a psychobiography.

Lawrence Kohlberg (1927-1987) was a moral development specialist and moral teacher. He is considered an exceptional individual due to the success he obtained from developing his Theory of Moral Development. Throughout Kohlberg's life, there was a reciprocal influence between Kohlberg's development and the sociocultural influences of his time, guiding his life story. This psychobiography used a longitudinal, single-case research design from the qualitative paradigm, utilising the descriptive-interpretive approach to explore the influences which shaped major life events in Kohlberg's life. This research design enabled the illumination of how sociocultural circumstances shaped various spheres in Kohlberg's life, such as his identity, education, career path and vocational success. This was done through using Bronfenbrenner's Bioecological Theory of Human Development Framework, by including its enmeshed, most up-to-date scientific research design, the Proximal-Person-Context-Time Model.

Environmental heterogeneity at two spatial scales affects litter diversity-decomposition relationships.

The effects of biodiversity on ecological processes have been experimentally evaluated mainly at the local scale under homogeneous conditions. To scale up experimentally based biodiversity-functioning relationships, there is an urgent need to understand how such relationships are affected by the environmental heterogeneity that characterizes larger spatial scales. Here, we tested the effects of an 800-m elevation gradient (a large-scale environmental factor) and forest habitat (a fine-scale factor) on litter diversity-decomposition relationships. To better understand local and landscape scale mechanisms, we partitioned net biodiversity effects into complementarity, selection, and insurance effects as applicable at each scale. We assembled different litter mixtures in aquatic microcosms that simulated natural tree holes, replicating mixtures across blocks nested within forest habitats (edge, interior) and elevations (low, mid, high). We found that net biodiversity and complementarity effects increased over the elevation gradient, with their strength modified by forest habitat and the identity of litter in mixtures. Complementarity effects at local and landscape scales were greatest for combinations of nutrient-rich and nutrient-poor litters, consistent with nutrient transfer mechanisms. By contrast, selection effects were consistently weak and negative at both scales. Selection effects at the landscape level were due mainly to nonrandom overyielding rather than spatial insurance effects. Our findings demonstrate that the mechanisms by which litter diversity affects decomposition are sensitive to environmental heterogeneity at multiple scales. This has implications for the scaling of biodiversity-ecosystem function relationships and suggests that future shifts in environmental conditions due to climate change or land use may impact the functioning of aquatic ecosystems.

Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data.

PURPOSE: Segmentation of ossified ligamentum flavum (OLF) plays a crucial role in developing computer-assisted, image-guided systems for decompressive thoracic laminectomy. Manual segmentation is time-consuming, tedious, and label-intensive. It also suffers from inter- and intra-observer variability. Automatic segmentation is highly desired. METHODS: A two-stage, localization context-aware framework is developed for automatic segmentation of ossified ligamentum flavum. In the first stage, localization heatmaps of OLFs are obtained via incremental regression. In the second stage, the obtained heatmaps are then treated as the localization context for a segmentation U-Net. Our framework can directly map a whole volumetic data to its volume-wise labels. RESULTS: We designed and conducted comprehensive experiments on datasets of 100 patients to evaluate the performance of the proposed method. Our method achieved an average Dice similarity coefficient of 61.2 ± 7.6%, an average surface distance of 1.1 ± 0.5 mm, and an average positive predictive value of 62.0 ± 12.8%. CONCLUSION: To the best knowledge of the authors, this is the first study aiming for automatic segmentation of ossified ligamentum flavum. Results from the comprehensive experiments demonstrate the superior performance of the proposed method over the state-of-the-art methods.

The effect of value on context and target recollection in memory for truth and falsity.

Memory for truth and falsity has recently been investigated from the perspective of the dual-recollection theory, showing better context and target recollection for truth than falsity. In this paper, we examine whether these memory effects obtained for true statements are similar to the value effect, whereby true statements are given higher priority in encoding. For this purpose, we implemented value-directed remembering (VDR) into the conjoint-recognition paradigm. In our first experiment, the primary goal was to verify how VDR influences the processes defined by dual-recollection theory. At study, prioritized/important items were linked to higher numerical values (e.g., 10), while unimportant ones had lower values (e.g., 1). At test, the participants' task was to recognize whether a particular sentence was important, unimportant, or new. We found that both context and target recollection were better for important items. In the second experiment, the main goal was to study the combined effects of importance and veracity on memory. In the between-subjects design, participants were monetarily rewarded for memorizing true or false sentences. The results demonstrated differences in the ability to prioritize truth over falsity. Specifically, we found a substantial increase in context recollection for prioritized true information but not for prioritized false information. Moreover, we found higher context recollection for true than false sentences in the true-prioritized condition, but not in the false-prioritized condition. These results indicated that people are able to prioritize true information better than false, and suggested that memory for truth may be a special case of the value effect.

Word order and context in sentence processing: evidence from L1 and L2 Russian.

Introduction: In this paper, we studied how native (L1) speakers of Russian and speakers of Mandarin Chinese learning Russian as a foreign language (L2) process Russian sentences with different word orders. We compared SVO (canonical) and OVS (non-canonical) orders in isolation and in context. Experiments focusing on the L2 processing of different word orders are still not very numerous, and those using context are extremely rare. Methods: In Experiment 1, target sentences were presented in isolation. In Experiment 2, one-sentence contexts introduced one NP mentioned in the target sentence, either the first (so that given information preceded new information, which is characteristic for Russian and many other languages) or the second. As a result, two factors could be compared: the syntactic (word order) and the contextual (whether the context is appropriate from the information-structural perspective). We used different measures to capture online and offline effects: word-by-word reading times, question-answering accuracy and sentence rating on a 1 to 5 scale (for L1 participants). Results and discussion: In both experiments, RTs and question-answering accuracy data showed that non-canonical orders were difficult for L2 participants, but not for L1 participants. However, L1 participants gave non-canonical orders lower ratings in isolation, presumably because in naturally occurring texts, they are used only in particular contexts. As for the context factor in Experiment 2, some effects were the same for L1 and L2 processing: all participants read given NPs faster than new ones and preferred sentences with a 'given - new' word order. The latter may reflect the universal principles of narrative coherence. However, unlike native speakers, L2 readers are not sensitive to more subtle contextual requirements of different word orders.

Application of artificial intelligence to eyewitness identification.

Artificial intelligence is already all around us, and its usage will only increase. Knowing its capabilities is critical. A facial recognition system (FRS) is a tool for law enforcement during suspect searches and when presenting photos to eyewitnesses for identification. However, there are no comparisons between eyewitness and FRS accuracy using video, so it is unknown whether FRS face matches are more accurate than eyewitness memory when identifying a perpetrator. Ours is the first application of artificial intelligence to an eyewitness experience, using a comparative psychology approach. As a first step to test system accuracy relative to eyewitness accuracy, participants and an open-source FRS (FaceNet) attempted perpetrator identification/match from lineup photos (target-present, target-absent) after exposure to real crime videos with varied clarity and perpetrator race. FRS used video probe images of each perpetrator to achieve similarity ratings for each corresponding lineup member. Using receiver operating characteristic analysis to measure discriminability, FRS performance was superior to eyewitness performance, regardless of video clarity or perpetrator race. Video clarity impacted participant performance, with the unclear videos yielding lower performance than the clear videos. Using confidence-accuracy characteristic analysis to measure reliability (i.e., the likelihood the identified suspect is the actual perpetrator), when the FRS identified faces with the highest similarity values, they were accurate. The results suggest FaceNet, or similarly performing systems, may supplement eyewitness memory for suspect searches and subsequent lineup construction and knowing the system's strengths and weaknesses is critical.

DECIDE: A decoupled semantic and boundary learning network for precise osteosarcoma segmentation by integrating multi-modality MRI.

Automated Osteosarcoma Segmentation in Multi-modality MRI (AOSMM) holds clinical significance for effective tumor evaluation and treatment planning. However, the precision of AOSMM is challenged by the diverse characteristics of multi-modality MRI and the inherent heterogeneity and boundary ambiguity of osteosarcoma. While numerous methods have made significant strides in automated osteosarcoma segmentation, they primarily focused on the use of a single MRI modality and overlooked the potential benefits of integrating complementary information from other MRI modalities. Furthermore, they did not adequately model the long-range dependencies of complex tumor features, which may lead to insufficiently discriminative feature representations. To this end, we propose a decoupled semantic and boundary learning network (DECIDE) to achieve precise AOSMM with three functional modules. The Multi-modality Feature Fusion and Recalibration (MFR) module adaptively fuses and recalibrates multi-modality features by exploiting their channel-wise dependencies to compute low-rank attention weights for effectively aggregating useful information from different MRI modalities, which promotes complementary learning between multi-modality MRI and enables a more comprehensive tumor characterization. The Lesion Attention Enhancement (LAE) module employs spatial and channel attention mechanisms to capture global contextual dependencies over local features, significantly enhancing the discriminability and representational capacity of intricate tumor features. The Boundary Context Aggregation (BCA) module further enhances semantic representations by utilizing boundary information for effective context aggregation while also ensuring intra-class consistency in cases of boundary ambiguity. Substantial experiments demonstrate that DECIDE achieves exceptional performance in osteosarcoma segmentation, surpassing state-of-the-art methods in terms of accuracy and stability.

Uncovering the determinants of brain functioning, behavior and their interplay in the light of context.

Notwithstanding the huge progress in molecular and cellular neuroscience, our ability to understand the brain and develop effective treatments promoting mental health is still limited. This can be partially ascribed to the reductionist, deterministic and mechanistic approaches in neuroscience that struggle with the complexity of the central nervous system. Here, I introduce the Context theory of constrained systems proposing a novel role of contextual factors and genetic, molecular and neural substrates in determining brain functioning and behavior. This theory entails key conceptual implications. First, context is the main driver of behavior and mental states. Second, substrates, from genes to brain areas, have no direct causal link to complex behavioral responses as they can be combined in multiple ways to produce the same response and different responses can impinge on the same substrates. Third, context and biological substrates play distinct roles in determining behavior: context drives behavior, substrates constrain the behavioral repertoire that can be implemented. Fourth, since behavior is the interface between the central nervous system and the environment, it is a privileged level of control and orchestration of brain functioning. Such implications are illustrated through the Kitchen metaphor of the brain. This theoretical framework calls for the revision of key concepts in neuroscience and psychiatry, including causality, specificity and individuality. Moreover, at the clinical level, it proposes treatments inducing behavioral changes through contextual interventions as having the highest impact to reorganize the complexity of the human mind and to achieve a long-lasting improvement in mental health.

What Environments Support Reading Growth Among Current Compared With Former Reading Intervention Recipients? A Multilevel Analysis of Students and Their Schools.

School context can shape relative intervention response in myriad ways due to factors, such as instructional quality, resource allocation, peer effects, and correlations between the school context and characteristics of enrolled students (e.g., higher-poverty students attending higher-poverty schools). In the current study, we used data from 16,000 Grade 3 students in a community-based supplemental reading intervention program to investigate the degree to which school context factors (percentage eligible for free/reduced-price lunch [FRPL], school-level achievement) relate to the differences in triannual reading fluency growth rates between students actively receiving supplemental intervention (active recipients) and those that formerly received intervention (and therefore only received general class instruction at this time; former recipients). Using Bayesian multilevel modeling, our findings indicate that school-level FRPL eligibility played a more prominent factor in growth rate differences between these two groups than school-level reading achievement. However, school-level reading achievement was much more strongly related to reading fluency differences between active and former intervention recipients at the beginning of the school year (when controlling for FRPL). Implications for investigating school-level heterogeneity in intervention response and sustainability are discussed.