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The past 10 years have seen a major shift in English and English as a Second Language (ESL) placement and pedagogy in California's Community Colleges (CCC), driven by a developmental education reform movement known as acceleration. Popularized by the faculty-led California Acceleration Project (CAP), the acceleration movement focused on reducing or eliminating prerequisite pathways in English and math due to a decade's worth of state-wide data showing that each level of remediation statistically reduced a student's chances of ever reaching or completing the first transfer-level course in the respective discipline (Hern & Snell, 2010). Faculty from many of the state's 117 community colleges participated in CAP's communities of practice, starting with the first cohort in the academic year 2011-2012, and returned to develop accelerated pathways at their own colleges. As these models proved successful and the data supporting acceleration mounted, CAP leaders joined forces with the College Futures Foundation and other partners to lobby for legislative action to compel a system-wide change. The resulting legislation, Assembly Bill 705 (Cal. Assemb., 2017), was signed into law in October 2017 and implemented as of January 1, 2018. This law required that all state community college districts maximize the probability that incoming students would access and complete their first transfer-level English and math class within a year of first enrolling and that students who enrolled in ESL courses would access and complete their first transfer-level English class within three years of first enrollment (Rodriguez et al., 2022).

Teacher identity guides classroom choices and responses to proposed change, yet identity work and reflection are frequently overlooked components of professional development. Based in dialogic self theory, this qualitative study used narrative case study to examine teachers' perceptions of interactions between their identities, choices, and responses to change. This study determined that while teachers are aware of how their identities guide their choices, they often do not acknowledge divergences between their identities and choices and do not see responses to change as connected to their identities. Further research into specific elements of teacher identity and teacher reflection is recommended.

Social Stories™ are a story-based intervention commonly used to teach students with disabilities how to behave in new routines or changing environments, academic skills, and social interactions including tacting others' emotions. According to the National Standards Project, story-based interventions are considered an established treatment. However, the efficacy of Social Stories™ is confounded by limitations in chosen experimental designs, threats to internal validity, and additional interventions within treatment packages. The current study used Social Stories™ to teach classroom social skills to children diagnosed with an intellectual disability. We used a multiple baseline across participants design to evaluate changes in classroom social skills when using Social Stories™. We taught a total of four response classes, including: saying, "please," saying, "thank you," appropriate hand raising, and giving assistance. The results indicate that Social Stories™ may be an effective intervention to increase classroom social skills. This is one of the first studies to evaluate and demonstrate the effectiveness of Social Stories™ as a standalone intervention. The present study also extends the current social studies literature in several areas, such as developing ways to promote generalization and assessing the social validity of the goals, procedures, and outcomes of the study.

The present study evaluated the use of computerized equivalence-based instruction (EBI) to teach classes representing schedules of reinforcement to staff members. Four, 5-member classes representing fixed ratio, fixed interval, variable ratio, and variable interval schedules of reinforcement were taught. The participants were 16 staff members between the ages of 22 and 30 years of age that were employed at a private school for individuals with autism. Participants were randomly assigned to either an experimental or control group. A pretest-training-posttest-maintenance design was used to evaluate the effects of EBI on participants' performance during both a computer-based test and a written multiple-choice test. Participants in the control group were only exposed to pretest and posttests. All participants in the experimental group acquired the baseline trained relations during match-to-sample instruction. Test scores improved from pretest to posttest and derived (untrained) relations emerged across all participants in the experimental group following training but did not change for the participants in the control group. In addition, participants maintained the learned relations one week after EBI was completed. The present study demonstrated that EBI is an effective teaching procedure to teach schedules of reinforcement to staff members in the field of applied behavior analysis.

The current study examined the efficacy and efficiency of incorporating instructive feedback within matrix training to teach children with autism spectrum disorder (ASD) to label common characters and cities. Experimenters taught one set of responses using a non-overlapping matrix, a second set of responses using an overlapping matrix, and a third set of responses using a non-overlapping matrix along with secondary targets to three individuals with ASD. The results demonstrated that all teaching methods were effective, and all trained and untrained responses were acquired. Matrix training with instructive feedback was equally as efficient as non-overlapping matrix training and overlapping matrix training, requiring about the same number of sessions for each participant to acquire the responses. The findings demonstrated that establishing recombinative generalization through matrix training and instructive feedback is equally and maybe even more effective and efficient than matrix training in isolation in some circumstances.

Abstract We introduce a proof-of-concept extended reality (XR) environment for discussing cancer, presenting genomic information from multiple tumour sites in the context of 3D tumour models generated from CT scans. This tool enhances multidisciplinary discussions. Clinicians and cancer researchers explored its use in oncology, sharing perspectives on XR’s potential for use in molecular tumour boards, clinician-patient communication, and education. XR serves as a universal language, fostering collaborative decision-making in oncology.

Abstract Cleaner synthesis of amines remains a key challenge in organic chemistry because of their prevalence in pharmaceuticals, agrochemicals and synthetic building blocks. Here, we report a different paradigm for chemoselective hydrogenation of nitro compounds to amines, under mild, aqueous conditions. The hydrogenase enzyme releases electrons from H2 to a carbon black support which facilitates nitro-group reduction. For 30 nitroarenes we demonstrate full conversion (isolated yields 78 – 96%), with products including pharmaceuticals benzocaine, procainamide and mesalazine, and 4-aminophenol – precursor to paracetamol (acetaminophen). We also showcase gram-scale synthesis of procainamide with 90% isolated yield. We demonstrate potential for extension to aliphatic substrates. The catalyst is highly selective for reduction of the nitro group over other unsaturated bonds, tolerant to a wide range of functional groups, and exhibits excellent stability in reactions lasting up to 72 hours and full reusability over 5 cycles with a total turnover number over 1 million, indicating scope for direct translation to fine chemical manufacturing.

Autonomy-supportive teachers energize students' agency and initiative. However, few studies consider whether agentically engaged students energize more autonomy-supporting teachers. We asked 2,908 middle and high school students in physical education courses to report their agentic engagement and the autonomy supportiveness of their teachers. Data were collected at four time points over one academic year. We tested two reciprocal effects models relating student perceptions of autonomy-supportive teaching and their agentic engagement: a between-person cross-lag-panel model (CLPM) and a within-person CLPM with random intercept. Both models supported the bidirectional reciprocal relations between perceived autonomy-supportive teaching and agentic engagement. Based on student perceptions, prior agentic engagement led to increased autonomy-supportive teaching and prior autonomy-supportive teaching led to greater agentic engagement. We discuss the practical implications of these findings for classroom research and recommend teachers to inform students early in the school year that they will welcome students' input and initiatives.

We evaluated the effects of a discrimination training procedure for establishing praise as a reinforcer for three children with autism spectrum disorder. After establishing two praise words as discriminative stimuli and two nonsense words as S-deltas, we evaluated whether the stimuli then functioned as reinforcers by presenting each stimulus as a consequence for a new response. The results demonstrated that previously neutral praise words functioned as reinforcers and nonsense words did not. As in previous studies on establishing reinforcers, the effects were transitory, and praise words did not continue to function as reinforcers after repeated exposure without discrimination training. Recommendations are provided for future research and maintaining reinforcement effects.

Abstract As a chronic inflammatory disease of the central nervous system, multiple sclerosis (MS) is of great individual health and socio-economic significance. To date, there is no prognostic model that is used in routine clinical care to predict the very heterogeneous course of the disease. Despite several research groups working on different prognostic models using traditional statistics, machine learning and/or artificial intelligence approaches, the use of published models in clinical decision making is limited because of poor model performance, lack of transferability and/or lack of validated models. To provide a systematic overview, we conducted a “Cochrane review” that assessed 75 published prediction models using relevant checklists (CHARMS, PROBAST, TRIPOD). We have summarized the relevant points from this analysis here so that the use of prognostic models for therapy decisions in clinical routine can be successful in the future.

Abstract Aims Caregivers rate improved communication ability as one of the most desired outcomes for successful interventions for individuals with Angelman syndrome (AS). When measuring communication ability in clinical trials, the reliability of such measures is critical for detecting significant changes over time. This study examined the reliability of the Observed-Reported Communication Ability (ORCA) measure completed by caregivers of individuals with AS. Methods The ORCA measure was completed by 249 caregivers with 170 caregivers completing the ORCA measure again after 5–12 days. Generalizability theory was used to examine the following sources of measurement error in ORCA scores: concepts, subdomains, assessment points, and the interactions among those facets and the object of measurement: communication ability. Three generalizability studies were conducted to understand the reliability of the ORCA measure for different measurement designs. Decision studies were carried out to demonstrate the optimization of measurement procedures of the ORCA measure. Results G and Phi coefficients of the original measurement design exceeded the 0.80 threshold considered sufficiently reliable to make relative and absolute decisions about the communication ability of individuals with AS based on their caregivers’ observed scores. The optimization procedures indicated that increasing the number of communication concepts and/or assessment points leads to more reliable estimates of communication. Conclusion The ORCA measure was able to reliably distinguish different levels of communication ability among individuals with AS. Multiple assessment points and or more concepts would provide more precise estimates of an individual’s communication ability but at the cost of survey fatigue.

This survey aimed to acquire and generate significant information on coffee cultivation in high and low elevations to support agriculture during climate change. This survey dataset helps understand coffee cultivation in highland and lowland areas with diverse climates and environmental conditions for coffee researchers to use this data to improvecultivation and production techniques. In the business scope, this dataset provides a critical vision on the value proposition of the coffee business to maintain conservation and wealth creation of the coffee chain. Similarly, coffee chains can use this data as an example to assess sustainability and carbon literacy. The structured interviews and field trips were conducted at coffee plantations in southern and northern Thailand. The transcript results were manually coded for thematic analysis. This dataset offers insights into anthropogenic plant migration and plant distribution for researchers and academics to use as a valuable resource and good reference in agricultural and biodiversity research. Today, agriculture faces many challenges, such as climate change, water shortage, and improper land management. This information on coffee cultivation at high and low altitudes may help others grow crops in ever-changing climates.

Background Social prescribing link workers have become part of primary health care in recent years. They help patients to recognise non-medical factors affecting their health and identify sources of support, often in the voluntary, community and social enterprise sector. They form part of wider work to strengthen person-centred care, which actively seeks to engage individuals in decision-making about their health, taking into account their medical, social, psychological, financial and spiritual circumstances. Objective To understand how buy-in to social prescribing and the link worker role is established for a patient, and how this relates to person-centred care. Design A realist evaluation. Setting Patients engaging with link workers in seven different parts of England were involved. Methods As part of data collection, we observed link workers interacting with 35 patients. We also interviewed 61 patients and re-interviewed 41 of them 9–12 months later. Data were coded and developed into context–mechanism–outcome configurations, which were used to produce a programme theory. Results Data highlighted how patients might be uncertain about the link worker role but agree to a referral as they sought assistance with their non-medical issues. Patients talked about experiencing a sense of hope through the trust they developed in a link worker. This trust was established through the communication skills and knowledge demonstrated by a link worker, and by their ability to act as an anchor point when required – a reliable, consistent source of support to whom patients could offload. The link worker role also involved connecting patients to external support, which called for sensitivity around how ready someone was to move forward; this was shaped by a patient’s motivation but also their capacity to make changes given other demands in their life. Connecting patients to external support could be affected by structural factors outside the link workers’ control (e.g. housing options or employment opportunities). Limitations We did not interview patients who had rejected the offer of social prescribing, and most had a positive view of meeting with a link worker. Conclusions Person-centred care is engendered by link workers through their skills, knowledge and ability to respond to the individual readiness of patients to engage with external support. It can be curtailed by structural factors outside link workers’ sphere of control, such as access to housing or caring responsibilities of patients. This can hinder patients’ ability to ‘connect to’, leaving link workers to continue ‘connecting with’ patients as they act as an anchor point. Future work Exploration is required of factors affecting patients who interact with a link worker but do not access external support. Longitudinal work with a cohort of patients, speaking to them on a regular basis, may provide further understanding in this respect. Funding This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme as award number NIHR130247. Plain language summary People’s health and well-being can be affected by non-medical issues (e.g. loneliness, money worries, housing problems). Social prescribing helps people with these issues by connecting them to support, often in the voluntary-community sector. Link workers are key to social prescribing. They listen to people talk about non-medical issues affecting how they feel physically and/or psychologically. They also connect people to external support – such as a befriending service, volunteering opportunities, organisations that give advice on money/housing, or other community groups. It is an important role, but we need to know more about how link workers work best, which our study set out to do. In our study, we collected data around seven link workers in different areas of England. As part of data collection, we interviewed 61 patients and re-interviewed 41 of them 9–12 months later. We also watched 35 patients meeting with a link worker. We found that patients were often unsure about what to expect when a doctor referred them to a link worker. However, they hoped this person could help them with their non-medical issues. When link workers were warm, non-judgmental and listened, patients were more likely to trust them. This trust was increased when link workers shared knowledge of and directed patients towards options in the community that could support their non-medical issues. Patients thought it was important for link workers to be a consistent source of support, who did not push them to do things they were not ready to try. Our research provides an insight into how link workers can provide a person-centred approach when supporting patients. This means that the needs, values and individual situation of patients take priority. It calls for an equal partnership to be created between a patient and link worker in deciding how to address the former’s non-medical issues.

As social, environmental, climate change, and public health challenges mount, there is growing recognition that many of the roots of these con­temporary crises are to be found in the nature and trajectory of the dominant food and agricultural systems. Consequently, a growing number of Australian civil society organizations (CSOs) seek to engage in processes of food system governance to address concerns of health and wellbeing, sustainability, and resilience. This paper summa­rizes a case study that explored the characteristics, values, and activities of seven food-related CSOs and identified the factors that enable or hinder their work. The results revealed that while the abil­ity of CSOs to influence food system governance has been modest to date, some progress is being made, particularly regarding food systems govern­ance processes at the local government level, point­ing to the possibility of more participatory forms of local food system governance developing.

Background Social prescribing addresses non-medical factors affecting health and well-being. Link workers are key to its delivery by connecting people to relevant support, often in the voluntary, community and social enterprise sector. Funding from the National Health Service means that link workers are becoming a common part of primary care in England. Objective To explore and understand the implementation of link workers in primary care in England. Design A realist evaluation addressed the question – When implementing link workers in primary care to sustain outcomes – what works, for whom, why and in what circumstances? Setting Link workers and staff associated with seven primary care sites across England. Methods Researchers spent 3 weeks with each link worker, going to meetings with them, watching them interact with patients, with healthcare staff and with voluntary, community and social enterprise organisations. In addition, interviews were conducted with 61 patients and 93 professionals (voluntary, community and social enterprise representatives and healthcare staff, including link workers). Follow-up interviews were conducted with 41 patients and with link workers 9–12 months later. Data were coded and developed into statements to identify how context around the link worker triggers mechanisms that lead to intended and unintended outcomes. Results We found that link workers exercise micro-discretions in their role – actions and advice-giving based on personal judgement of a situation, which may not always reflect explicit guidance or protocols. Our analysis highlighted that micro-discretions engender positive connections (with patients, healthcare staff, the voluntary, community and social enterprise sector) and promote buy-in to the link worker role in primary care. Micro-discretions supported delivery of person-centred care and enhanced job satisfaction. Data also highlighted that lack of boundaries could place link workers at risk of overstepping their remit. Limitations Our research focused on link workers attached to primary care; findings may not be applicable to those working in other settings. Data were collected around seven link worker cases, who were selected purposively for variation in terms of geographical spread and how/by whom link workers were employed. However, these link workers were predominately white females. Conclusions Enabling link workers to exercise micro-discretions allows for responsiveness to individual patient needs but can result in uncertainty and to link workers feeling overstretched. Future work Poor link worker retention may, in part, be associated with a lack of clarity around their role. Research to explore how this shapes intention to leave their job is being conducted by authors of this paper. Funding This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme as award number NIHR130247. Plain language summary Problems in life affecting people’s health and well-being cannot always be fixed with medication. For example, loneliness can lower people’s mood, or worries about money can cause them to feel anxious. Social prescribing link workers are employed to support individuals with these ‘non-medical’ issues. They listen to people to find out about them and their circumstances. They may connect them to community groups, organisations or services, or help them get advice about things like benefits or housing. Our study explored how link workers are being implemented in primary care in England. We studied seven link workers based in different parts of England. We spent 3 weeks with each link worker, observing them at their workplace. We also interviewed these link workers and people they worked with; this included 61 patients, 61 primary care staff, 5 other link workers and 20 individuals from the voluntary or community sector. We found big differences in what link workers did in their roles; in how long they saw patients for and how often, how many patients they were supporting at one time, their professional and personal backgrounds, whether they worked in a practice alone or were part of a bigger team of people delivering social prescribing. Link workers had varying levels of flexibility (or discretion) in their jobs; this allowed them to support patients’ individual needs. Such flexibility gave them job satisfaction as they were able to use their judgement about how to work with patients to provide person-centred support. However, if this went too far – and link workers had too few boundaries and not enough guidance – they ended up feeling overwhelmed by their job.

Introduction Very preterm babies are at risk of poor neurodevelopmental outcomes and death. Intraventricular haemorrhage (IVH) after birth is the most prevalent cause of this. Birth by caesarean section may protect against IVH in very preterm babies, but the evidence is limited. The aim is to identify and obtain the quantitative evidence needed to inform a future definitive clinical trial to determine the optimal mode of delivery in preterm birth.Methods and analysis We will use three broad workstreams (WS) to answer complementary questions. WSs 1 and 2 involve the analysis of routinely recorded national clinical data held in an established research database. In WS1 (October 2023–March 2024), we will use conventional methods to identify what is needed to undertake a trial: the population of interest, areas of equipoise and a plausible range of effect sizes. In WS2 (April 2024–October 2024), using an emulated target trial framework, we will attempt to make inferences about the treatment effect from such a future trial and will identify potential challenges in recruitment and estimate likely ‘intention-to-treat’ versus ‘per-protocol’ profiles; these analyses will also be useful for power calculations for future possible trials. In WS3 (October 2024–March 2025), we will convene a consensus meeting with key stakeholders, supported by a clinical trials unit, to develop a multicentre clinical trial to identify the optimal mode of birth for preterm deliveries.Ethics and dissemination In this study, we will use deidentified data held in the National Neonatal Research Database (NNRD), an established national population database; parents can opt out of their baby’s data being held in the NNRD. HRA/Health and Care Research Wales and National Health Service (NHS) study-specific Research Ethics Committee approval (London—Queen Square Research Ethics Committee) (Ref: 23/LO/0826) ethical approval has been obtained. Key outputs of the PRECIOUS (PREterm Caesarean/vaginal birth and IVH/OUutcomeS) study include the identification of the data, and accordingly of the multidisciplinary team required, to develop, gain funding and complete, a clinical trial to definitively identify the optimal mode of delivery for preterm infants and their mothers.

Climate change has driven agriculture to alter farming methods for food production. This paper presents a new concept for monitoring, acquisition, management, analysis, and synthesis of ecological data, which captures the environmental determinants and direct gradients suited to a particular requirement for specific plant cultivation and sustainable agriculture. The purpose of this study is to investigate a smart seablite cultivation system. A novel digital agricultural method was developed and applied to digitised seablite cultivation. Machine learning was used to predict the future growth conditions of plants (seablites). The study identified the illustrative maps of seablite origins, a conceptual seablite smart farming model, essential factors for growing seablite, a digital circuit for cultivating seablite, and digital data of seablite growth phases comprised the digital data. The findings indicate that: (1) An indicator of soil salinity is a quantity of sodium chloride extracted from a seablite sample indicating its origin of environmental determinants. (2) Saline soil, saline water, pH, moisture, temperature, and sunlight are essential factors for seablite development. These factors are dependent on climate change and were measured using a smart seablite cultivation system. (3) Digital circuits of seablite cultivation provide a better understanding of the relationship between the essential factors for seablite growth and seablite growth phases. (4) Deep neural networks outperformed vector machines, with 86% accuracy at predicting future growth of seablites. Therefore, this finding showed that the essential seablite development factors can be manipulated as key controllers for agriculture in response to climate change and agriculture can be planned. Basic digitisation of specific plants aids plant migration. Digital agriculture is an important practice for agroecosystems.

Summary: A growing number of studies have applied evolutionary and ecological principles to understanding cancer. However, few such studies have examined whether phenotypic plasticity––the ability of a single individual or genome to respond differently to different environmental circumstances––can impact the origin and spread of cancer. Here, we propose the adaptive horizontal transmission hypothesis to explain how flexible decision-making by selfish genetic elements can cause them to spread from the genome of their original host into the genomes of other hosts through the evolution of transmissible cancers. Specifically, we hypothesize that such cancers appear when the likelihood of successful vertical transmission is sufficiently low relative to the likelihood of successful horizontal transmission. We develop an evolutionary optimization model of this hypothesis, highlight empirical findings that support it, and offer suggestions for future research. Generally, phenotypically plastic selfish genetic elements might play an important role in the evolution of transmissible cancers.