Hybrid Programming Research Articles

Assessment of Genetic Diversity in Greengram (Vigna radiata L.) Using Metroglyph Analysis

Pulses like greengram are essential for sustainable agriculture and global food security due to their high protein, complex carbohydrates, fiber, vitamins, and minerals. However, their genetic diversity is underexplored, with existing studies mainly focusing on conventional methods. This study aims to estimate the variability parameters for 16 quantitative characters of greengram to classify the genotypes using Metroglyph analysis and assess genetic divergence to identify divergent parents for future hybridization programs using 45 greengram genotypes using Randomized Block Design replicated thrice. Among 45 genotypes of greengram on the basis of mean performance MGG-351(12.959) followed by MGG-347(43.16 q/ha), VBN -2 (41.12 q/ha), GM-3(40.8 q/ha) and MGG-385(39.8 q/ha) were found superior for grain yield. High GCV and PCV is recorded for Harvest Index and Number of primary branches. High heritability coupled with genetic advance as percent of mean are recorded for number of primary branches, harvest index (%), number of seeds per pod, biological yield per plant, seed index, number of pods per plant, number of clusters per plant. On the basis of Metroglyph analysis, the total index score was varied from 24 (SHAKTI) to 38 (SIKHA) with a mean of 31.84. Among the 45 germplasm lines, the genotypes GM-3, MGG-385, SML-1663 and MGG-371were observed as high yielder and identified for higher index score. Scatter diagram plotted with Plant Height and Harvest Index has revealed that 5 clusters could be distinguished on the basis of morphological variation. Cluster -1 was represented by 24 genotypes, Cluster -2 was represented by 10 genotypes, Cluster-3 was represented by 7 genotypes, Cluster-4 was represented by 3 genotype, Cluster -5 was represented by 1 genotype. From those complexes, the germplasm lines, SIKHA and MGG-371 recorded high index score and fell into different cluster, hence used as parents in hybridization for getting desirable transgressive segregants.

Approaches for Genetic Analysis of Chickpea Genotypes under Late Sown Condition

Investigation of the genetic potential of chickpeas is crucial in order to achieve durable and high-yielding genotypes. The goal of this study is to identify the genetic potential and personality traits associated. Evaluation of thirty-six desi genotypes of chickpea under late sown condition revealed that substantial degree of variation was present, while three traits viz., Leaf pattern, flower colour, seed shape and plant pigmentation were found monomorphic, whereas foliage colour, seed surface were dimorphic,polymorphic traits were noted in leaflet size, plant growth habit, plant height, seed colouring, days to 50% flowering and days to maturity. Magnitude of genotypic coefficient ofvariations, high heritability along with high genetic advance as percentage of mean recorded forharvest index, number of seeds per plant, number of pods per plant and number of effective pods per plant.Correlation and path analysis revealed biological yield, 100 seed weight, seed per plant, harvest Index and plant height are the mostimportant characters,while imparting selection as these exhibited strong association and maximum positive direct effects on seed yield per plant.Intra cluster D2 values showed that most diverse genotypes were Phule G13110 and PG 0104, hybridization program between these genotypes may generate desirable sergeants for various yield attributing traits. Genotypes GL 12021, PG 158, PG 0104, JG 24, H 12-62, IPC 2010-134, GNG 2261, GL29098, BG 3067, IPC 2012-98, Phule G13110 and RVSSG 38 were present in more than one PCs hence contributed maximum towards yield and can be used in various breeding programmes for yield improvement under late sown condition.

Civil engineering employers engagement in work-integrated learning

In this paper I provide two case studies of enhancing undergraduate students’ learning through Work-Integrated Learning (WIL). Both interventions involve university-industry partnerships with local and regional civil engineering employers. Industry Mentoring (2010-2024) is a curricular activity with an authentic assessment. Third-year students mentees (N=1130) were mentored by 298 practising civil engineers, representing 80 employers. Civil Engineering 4 Real (CE4R, 2012-2024) is a co-curricular hybrid programme of problem / project-based evening workshops (N=133), attended by 594 students with circa 2867 student attendances, supported by 218 engineers, representing 76 employers. Industry Mentoring and CE4R support students to network with employers, enhance their employability skills, and shape their professional identity. Through their pro bono assistance, employers have established a talent pipeline, recruiting students for summer placements and graduate jobs. For employers, their engagement provides evidence of enacting their Corporate Social Responsibility (CSR) through providing a social value contribution to a local university.

Heterosis, combining ability and genetic component in okra (Abelmoschus esculentus (L.) Moench) genotypes

ABSTRACT Information on gene action controlling the inheritance of quantitative traits is essential for selecting parents for hybridization and multiline varieties. Twenty hybrids obtained through 5 × 5 diallel mating with their parents were established on Teaching and Research Farm, Federal University of Agriculture, Abeokuta, Nigeria, in September 2018 using Randomized Complete Block Design in three replicates. The plants were observed for numbers of days to 50% flowering, plant height at flowering, stem girth, number of branches per plant, plant height at maturity, number of fruits per plant, fruit weight, fruit length, fruit width, and fruit yield per plant. Data were subjected to variance analysis, General and Specific Combining abilities were estimated, and gene effects and parameter ratios were done using Hayman’s method. Mid- and better-parent heterosis were estimated using Allard’s procedure. Genotype ‘NGB00356’ was the most desirable parent for earliness and the number of fruits per plant, while hybrid ‘NGB00347’ × ‘NGB00356’ was the best hybrid for fruit yield per plant. ‘NGB00356’, with its significant and positive general combining ability value for the number of fruits per plant, can be used as a parent in a hybridization program for yield improvement in okra.

Cryopreservation Protocol for Cowpea Pollen Storage

BACKGROUND: Long-term storage of cowpea pollen is important for the fertilization of spatially or temporally isolated female parents, especially during cowpea crop improvement and wide hybridization programs. OBJECTIVE: Experiments were conducted to determine pollen longevity at different storage temperatures and to develop a cryopreservation protocol for pollen of different cowpea accessions. MATERIALS AND METHODS: The investigation was carried out at the Research Farm of ICAR-NBPGR, New Delhi, India, during the kharif (rainy) season of 2022. Pollen viability was studied after storage for 1, 3, 6, 12 and 24 h, 1 and 2 weeks and 1, 3 and 5 months at three different temperatures (4, -20 and -196 ºC). RESULTS: Fresh pollen viability ranged from 78 to 91 %. The optimal pollen moisture content was 12-14 % and the optimal air desiccation period under the laminar air flow chamber (22±1 °C) was 5 min for subsequent preservation at -196 °C. Pollen viability was lost completely at 4 and -20 °C after 1 and 2 weeks of storage, respectively. Pollen stored in liquid nitrogen (-196 ºC) retained vaiblity similar to that of fresh pollen for > 5 months storage. Pollination using cryostored pollen resulted in normal fertilization. CONCLUSION: This finding opens a gateway for cowpea haploid germplasm conservation and wide hybridization programs.

Assessment of genetic parameters and heritability of Dendrobium species section Spatulata native to Indonesia

Being one of the most abundant genera of orchids, Dendrobium presents a valuable genetic resource for hybridization programs. Morphological characterization and assessment of genetic parameters plays a crucial role in establishing genetic connections among orchid species within the same genus. The study aims to discern the morphological traits of five Indonesian Dendrobium species, intending to evaluate their potential as candidates for crossbreeding programs. The materials used in this study were D. antennatum, D. discolor, D. stratiotes, D. lineale, D. gouldii, and D. sylvanum. This research examines 21 quantitative traits and 21 qualitative morphological traits of the studied Dendrobium. The findings reveal variations in characters related to flowers, leaves, and pseudobulbs. The analysis of genetic parameters indicates the presence of genetic diversity in traits such as flower stalk length, length of inflorescence, flower series length, flower length, flower width, dorsal sepal width, lateral sepal width, petal length, petal width, labellum length, labellum width, and the number of florets. All observed traits demonstrate high heritability. So, the characters that have high genetic variability and heritability are valuable in selection criteria for plant breeding.

Exploring Genetic Variability and Diversity in Exotic Germplasm Collection of Cocoa (Theobroma cacao L.)

The current research investigates the genetic variation and diversity in exotic accessions of cocoa to identify materials with desired characteristics as well as important traits contributing to yield and variability. The experiment was conducted at Cocoa Research Centre, Kerala Agricultural University, from 2021 to 2023. The study comprises 23 exotic genotypes in which observations were recorded on quantitative traits on flowers, pods, and beans. Statistical analysis was carried out based on the observations recorded. The morphological evaluation revealed ample variability among the genotypes for all the quantitative characters studied. The average dry bean weight recorded was 1.08 grams, which is a desirable trait in selecting individuals with high processing efficiency for the chocolate industry. Characters such as single bean dry weight, pod value, pod index, and efficiency index have recorded high values of GCV, heritability and genetic advance as percent of the mean. Principal component (PC) analysis showed that the first three PCs with more than one Eigen-value contributed to 92.18 percent of total variability among the germplasm. Yield components viz. pod value, total bean weight pod-1 and single bean dry weight significantly contribute to maximum variability among the exotic germplasm. Moreover, genotypes were grouped into five clusters based on hierarchical agglomerative clustering technique. Hybridization program involving superior genotypes identified in diverse clusters as parents can produce high-yielding hybrids. The high values recorded for the genetic parameters by yield components suggest the selection of genotypes based on which can result in better-performing progeny.

Identification of resistant sources against collar rot disease in groundnut (Arachis hypogaea) incited by Aspergillus niger

Collar rot disease incited by Aspergillus niger van Tiegham is one of the major constraint to groundnut (Arachis hypogaea L.) production in India. This fungus is ubiquitous, soil inhabitant causing severe reduction in seed germination. Infected seeds appear surrounded by black conidia and post-emergence infection occurs on collar region of plants leading to mortality of emerged seedlings at the seedling stage. Therefore, present study was carried out during rainy (kharif) seasons of 2022 and 2023 at Regional Research Station (CCS Haryana Agricultural University, Hisar, Haryana), Bawal, Haryana to identify the strategy of disease management by identification of new resistant lines which will be useful to develop introgression lines using marker-assisted backcrossing approach to improve disease resistance against soil-borne pathogens in popular groundnut varieties. A total of 245 groundnut genotypes were screened under natural epiphytotic field conditions in randomized block design (RBD) with three replications for their resistance against collar rot disease The results of the investigation indicated that 65 genotypes displayed resistant reactions among which ICGV-6285, GC-131-1, ICGV-06319, ICGV-02038, GC-100, GC-98, ICGV-02038, ICGV-7403, ICGV-7214, TG-37A and GC-133 exhibited the lowest collar rot incidence while, rest of the genotypes displayed moderately resistant, susceptible and highly susceptible reaction. Thus, these resistant genotypes could be utilized in the hybridization programme to develop high yielding groundnut variety with inbuilt resistance against collar rot of groundnut.

Psychometric validation of the Cardiac Rehabilitation Barriers Scale Revised (CRBS-R) for hybrid delivery

ObjectiveTo test the measurement properties of the revised version of the English Cardiac Rehabilitation Barriers Scale (CRBS-R), suitable for hybrid delivery, structural validity, internal reliability, as well as face, cross-cultural,...

Exploring Genetic Diversity for High CBD Content in Cannabis Accessions in Tropical and Subtropical Regions of India.

Cannabis, also known as marijuana or hemp, has been utilized since ancient times for industrial, religious, recreational, and medical uses.However, regardless of the intended use, there are legal requirements for quantitative testing of cannabinoids across the supply chains. This investigation aimed to evaluate the genetic diversity of 54 Cannabis samples collected from tropical and subtropical regions in India. The research found a high genotypiccoefficient of variation(GCV), phenotypiccoefficient of variation(PCV), heritability, and genetic advance for total cannabidiol (CBD) content. The genotypic and phenotypic correlation among the morpho-chemical characters revealed strong positive correlations among most characters. Clustering and Principal component analysis identified three accessions in cluster II (CIM-CS-65, CIM-CS-189 & CIM-CS-64) with high CBD content that could be used for breeding and as sources of high CBD content in Cannabis. CIM-CS-64, with its high CBD content with 0.01%THC content, holds potential as a valuable parental line for utilization in hybridization programs and recombinant breeding. Furthermore, in accordance with the NDPC Act of 1985, CIM-CS-64 can be commercialized for medicinal purposes, making it a promising source for the development of medicinal CBD products.

A comprehensive physicochemical characterization and proposed portfolios of applications for the fruits and seeds of 11 accessions of Jatropha curcas L.

The seed oil and extraction cake from 11 accessions of Jatropha curcas from Mexico, El Salvador, and India were comprehensively characterized with the objective of selecting parentals based on desirable traits for a hybridization program. Kernels contained up to 65 % oil and up to 30 % protein. The most abundant protein types were glutelins (48 %) and globulins (24 %), with arginine (0.096 mg/g) and leucine (0.070 mg/g) being the major amino acids. Glucose (0.09 g/g) and arabinose (0.03 g/g) were the most abundant carbohydrates. The oil was primarily composed of oleic (41 %) and linoleic (37 %) acids. The physicochemical properties of the oil included an acid value of 0.28–1.15 %, saponification value of 155–208 mg KOH/g, iodine value of 0.97–1.08 g I2/g, and viscosity of 21.9–40.9 cSt at 40 °C. Six accessions were selected as parental candidates based on their potential as feedstock for a diverse portfolio of products. The most common applicability of oils were lubricants, biopolymers, biofertilizer, and liquid biofuels production. One Mexican accession had a phorbol-ester concentration much lower than the toxicity threshold (0.06 mg/g) and a high protein content, making it attractive for the animal feed industry and for protein extraction. The selected accessions are preserved in a local germplasm bank and will be used for continued genetic improvement through hybridization, aiming to preserve the identified traits while increasing fruit productivity.

Abstract B107: Community scientist research advocacy program: Training our research community

Abstract Community Scientist Research Advocacy (CSRA) training programs serve as fundamental bridges between communities and researchers. By engaging community members, these programs leverage networks, knowledge, and community perspectives to enhance research endeavors. This approach facilitates trust-building between disadvantaged populations and cancer researchers, particularly in the context of clinical trials participation and tissue donation. The purpose of our program was to develop and evaluate an innovative, bi-coastal, and bilingual program to inform, educate and encourage community members to become cancer research advocates in Florida (FL) and California (CA). Our program was culturally tailored for Black/African American and Hispanic/Latino/a adults. Primary objectives were to increase manpower for cancer research advocacy and increase multi-directional communication between cancer advocates with cancer patients, survivors, caregivers, community members, academic scientists, and policy makers. The CSRA program is a 13-week hybrid program implemented by the CaRE2 Health Equity Center, a bi-coastal partnership between the Florida A&M University, University of Florida, and University of Southern California in Los Angeles. Participants studied into cancers disproportionately affecting Black/African American and Hispanic/Latino/a groups, completing pre- and post-surveys to measure knowledge, self-efficacy, and program satisfaction. Additionally, participants concluded mentored advocacy projects for community implementation, with follow-up implemented at three months post-program completion. To date, a total of 45 adults have graduated from our CSRA program. We present data from the 2023 CSRA cohort (pre, N=21, post, N=19) that included participants from FL and CA, which are among the top five states in the U.S with the largest Black/African American and Hispanic/Latino/a populations. Regarding race and ethnicity, 6 participants were Black/African American, 13 Hispanic/Latino/a, 1 Asian, 1 Native Hawaiian or Pacific Islander, and 9 White, with 95% female participants. This cohort had 90% program completion and 7 advocacy projects: 2 on lung cancer, 2 on pancreas cancer, and 3 on prostate cancer. Participants showed an increased in knowledge, from pre- mean 68.1 to post- mean 74.0, and a p-value of 0.018. There was an increased in self-efficacy; program satisfaction and evaluation were rated as high. In summary, our study depicts the effectiveness of a unique CSRA program tailored for Black/African American and Hispanic/Latino/a adults, fostering robust communication channels between cancer research advocates and diverse stakeholders. We emphasize the potential of such initiatives in addressing cancer health disparities and advocating to address specific inequalities by imparting educational initiatives in cancer research advocacy. We look forward to evaluating and enhancing our training program with an additional 21 research advocates in our cohort of 2024. Citation Format: Brooke Hensel, Ileana Guzman, Carolina Aristizabal, Eduardo Ibarra, Rosa Barahona, Lourdes Baezconde-Garbanati, Mariana C. Stern, Sandra Suther, Fern J. Webb. Community scientist research advocacy program: Training our research community [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B107.

Strategic Learning Strategies of Doctor of Physical Therapy Students

Introduction. The use of strategic learning strategies has been positively associated with academic performance in several graduate health profession programs. This finding suggests that it may be an important construct to explore in Doctor of Physical Therapy (DPT) education. The Learning and Study Strategies Inventory (LASSI) summarizes a student's perception and use of 10 learning and study strategies. Review of Literature. Although the LASSI has limited reporting in DPT education, other health care education programs have shown correlation with academic performance. The purpose of this study was to examine DPT students' early perceptions of strategic learning with descriptive summaries of LASSI data and examine correlations between demographic and admissions-related data. Subjects. Matriculated DPT students (n = 294) at a 2-year hybrid program who completed the LASSI at orientation in 2020 and 2021. Methods. This was a descriptive study that retrospectively analyzed LASSI scores in entry-level DPT students. LASSI score differences among demographic groups and Spearman's rho correlations between the LASSI, Graduate Record Examination (GRE) scores, grade point averages, grit, and emotional intelligence (EI) were explored. Results. LASSI score means were in the 50th–75th percentile (moderate category) suggesting a need for further development in strategic learning. Group differences in LASSI scores were noted for gender identity (male higher Anxiety management, P < .001; female higher Attitude, P < .001, Time Management, P = .003, and Use of Academic Resources, P = .003), racial–ethnic minoritized group (higher Self-regulation, P = .013), first-generation college students (higher Attitude, P = .047), physical therapy assistants (higher Information Processing, P = .047), students with a primary language other than English (higher Time Management, P = .046), and older students (higher Anxiety management, P = .026). Weak but significant correlations were identified between LASSI scale and component scores and several admissions variables. Highest correlations were with grit (Will, ρ = 0.319, P < .001; Concentration, ρ = 0.312, P < .001), EI (Will, ρ = 0.328, P < .001; Attitude, ρ = 0.302, P < .001; Self-regulation, ρ = 0.382, P < .001; Use of Academic Resources ρ = 0.331, P < .001), and quantitative GRE scores (Anxiety management, ρ = 0.341, P < .001). Discussion/Conclusion. All LASSI scale scores and components were in the moderate category, potentially indicating a need to coach and develop strategic learning strategies. Group differences in LASSI scores may represent varied student needs. The weak relationship between LASSI scores and admissions variables could suggest that the constructs measured by LASSI are not currently captured through typical DPT admissions practices.

Influence of Genotypes and Environments on Protein Content in Chickpea (Cicer arietinum L.)

An experiment was conducted to evaluate a set of chickpea genotypes for yield and protein content at four different locations during 2019-20. The results showed the differential response of chickpea genotypes and environment with respect to protein content. In general, the genotypes with low seed yield and small seed size (<20gm/100 seed) had higher protein content (>20%) as compared to those with high yield and bold seed size (>25gm/100 seed). Similarly, the protein content of all the five genotypes was observed higher (20.65, 23.06, 20.30, 20.65 and 20.76 percent, respectively) in Kota than the respective mean values (19.37, 21.03, 19.31, 19.87, 18.35 percent) while it was lower (16.35, 20.59, 17.53, 19.41, 16.32 percent) than mean values (19.37, 21.03, 19.31, 19.87, 18.35 percent) in Aklera as compared to other locations. This might be due to contrasting climatic conditions in Kota and Aklera indicating that the genotypes grown under irrigated conditions showed better quality over those grown in rainfed area. The genotypes RKG 13-515-1 and GNG 2144 showed consistent performance in terms of yield and protein content (20.65, 20.53, 19.96, 16.35, 19.37 percent and 23.06, 20.19, 20.30, 20.59, 21.03 percent, respectively) and can be used as parents in hybridization programme to develop transgressive segregants having high yield and protein content with early maturity.

Assessment of Genetic Diversity for Yield Component Traits and Grain Yield of Blackgram [Vigna mungo (L.) Hepper

Due to its high nutritional content and ability to supply a diet rich in protein, pulses hold a special place in Indian agriculture. In contrast to the world's production of cereals, pulses are grown seldom in low-fertile soils under conditions of moisture stress, which eventually hides their actual yield capability due to inadequate management approaches. The current study's objective is to estimate the genetic parameters of 13 yield attributing traits in 20 genotypes of urd bean to choose more yield-contributed characters in urd bean. Number of pods per plant revealed high estimates of PCV, GCV and heritability. In the Metroglyph study, superimposition of genotypes was seen because to the near closeness of two variables used to display the genotypes. In this classification analysis made based on number of pods per plant and harvest index for all the 20 genotypes of urd bean form four complexes. Out of 20 genotypes, 4 genotypes like IC-331226, IC-261173, IC-385718, and IC-426495 were recorded highest index score and fell into different complex, hence used as parents for getting good combinations for future hybridization programmes.

Heterosis and Inbreeding Depression Studies for Fibre Quality Traits in Upland Cotton (Gossypium hirsutum L.)

Cotton hybrids have its own advantage than varieties in yield and fibre properties. Heterosis breeding helps in identifying F1 hybrids and in creating variability. The chief intention of any hybridization programme is to combine all the desirable genes present in two or more parents into a single genetic background. This investigation helped in identifying the extent of heterosis in crosses among four families in upland cotton (Gossypium hirsutum L.) which was conducted at college Farm during kharif 2021-23. The all 4 hybrids were derived by generation mean analysis study which were analysed for fibre quality traits in a Compact Family Block Design. For traits like Ginning percentage, uniformity index, Upper Half Mean Length, Lint index, and Fibre strength, most of the crosses showed positive and significant relative heterosis. While, heterobeltiosis was also found positive and significant for ginning percentage, uniformity index, Upper half mean length and fibre strength for most of the crosses under study. Most of the crosses under study also showed little inbreeding depression for traits like ginning percentage, uniformity index and fibre strength. Thus, by exploiting the benefits of heterosis while mitigating risks associated with inbreeding depression may lead to the development of superior hybrid varieties with consistently improved fibre quality.

A hybrid maintenance approach for key components of the train bogie to optimize fleet availability

In the context of intelligent transport systems and the rapid development of the global economy, railways face increasing demand to become safer, more efficient, and more sustainable. As a critical structure of the railway vehicle, the bogie, designed to support the vehicle body and transmit dynamic loads through the wheels, houses several components that are vital for the reliability and safety of the train. The maintenance of such a structure is complex and can greatly benefit from hybrid approaches that leverage the potential of condition-monitoring data in proactively identifying faults or irregularities whilst ensuring appropriate intervals that maximize the availability of resources. This paper proposes a hybrid maintenance approach that combines preventive maintenance, condition-based monitoring, and predictive maintenance for the key components of the bogie, aiming to optimize costs while exploiting potential economic savings of maintenance decisions for different grouping strategies, therefore, maximizing fleet availability. The model aims to study the feasibility and measure the expected economic returns of shifting from a complete preventive maintenance program to a hybrid program incorporating predictive maintenance tasks in selected components of the bogie. A deterioration model, along with failure rate estimation, is proposed and integrated into the optimization formulation. A case study of a railway company operating in Catalonia, Spain, is presented. The framework demonstrates flexibility in tackling current maintenance practices, including hierarchy and periodicity of maintenance tasks according to the intervention type and flexible hazard rates with three stages to mimic the bathtub curve behaviour. The results show that shifting to a hybrid maintenance plan has great potential to reduce costs.

Moving an exercise referral scheme to remote delivery during the Covid-19 pandemic: an observational study examining the impact on uptake, adherence, and costs

BackgroundExercise Referral Schemes (ERSs) have been implemented across Western nations to stimulate an increase in adult physical activity but evidence of their effectiveness and cost-effectiveness is equivocal. Poor ERS uptake and adherence can have a negative impact on effectiveness and cost-effectiveness and, if patterned by socio-demographic factors, can also introduce or widen health inequalities. Different modes of ERS delivery have the potential to reduce costs and enhance uptake and adherence. The primary aim of this study was to examine the effect of different programmes of ERS delivery on scheme uptake and adherence. Secondary aims were to examine the effect of socio-demographic factors on scheme uptake and adherence, and the impact of delivery mode on the expected resource and corresponding costs of delivering core parts of the programme.MethodsThis was an observational cohort study with cost analysis. Routine monitoring data covering a three-year period (2019–2021) from one large UK ERS (number of patients = 28,917) were analysed. During this period three different programmes of delivery were operated in succession: standard (all sessions delivered face-to-face at a designated physical location), hybrid (sessions initially delivered face-to-face and then switched to remote delivery in response to the Covid-19 pandemic), and modified (sessions delivered face-to-face, remotely, or a combination of the two, as determined on a case-by-case basis according to Covid-19 risk and personal preferences). Multi-level binary logistic and linear regression were performed to examine the effect of programme of delivery and socio-demographic characteristics on uptake and adherence. Cost data were sourced from regional-level coordinators and through NERS audits supplied by national-level NERS managers and summarised using descriptive statistics.ResultsThere was no effect of programme of delivery on scheme uptake. In comparison to those on the standard programme (who attended a mean of 23.1 exercise sessions) those on the modified programme had higher adherence (mean attendance of 25.7 sessions) while those on the hybrid programme had lower adherence (mean attendance of 19.4 sessions). Being older, or coming from an area of lower deprivation, increased the likelihood of uptake and adherence. Being female increased the chance of uptake but was associated with lower adherence. Patients referred to the programme from secondary care were more likely to take up the programme than those referred from primary care for prevention purposes, however their attendance at exercise sessions was lower. The estimated cost per person for face-to-face delivery of a typical 16-week cycle of the scheme was £65.42. The same cycle of the scheme delivered virtually (outside of a pandemic context) was estimated to cost £201.71 per person.ConclusionsThis study contributes new evidence concerning the effect of programme of delivery on ERS uptake and adherence and strengthens existing evidence concerning the effect of socio-economic factors. The findings direct the attention of ERS providers towards specific patient sub-groups who, if inequalities are to be addressed, require additional intervention to support uptake and adherence. At a time when providers may be considering alternative programmes of delivery, these findings challenge expectations that implementing virtual delivery will necessarily lead to cost savings.

A Multiproject and Multilevel Plan Management Model Based on a Hybrid Program Evaluation and Review Technique and Reinforcement Learning Mechanism

It is very difficult for manufacturing enterprises to achieve automatic coordination of multiproject and multilevel planning when they are unable to make large-scale resource adjustments. In addition, planning and coordination work mostly relies on human experience, and inaccurate planning often occurs. This article innovatively proposes the PERT-RP-DDPGAO algorithm, which effectively combines the program evaluation and review technique (PERT) and deep deterministic policy gradient (DDPG) technology. Innovatively using matrix computing, the resource plan (RP) itself is used for the first time as an intelligent agent for reinforcement learning, achieving automatic coordination of multilevel plans. Through experiments, this algorithm can achieve automatic planning and has interpretability in management theory. To solve the problem of continuous control, the second half of the new algorithm adopts the DDPG algorithm, which has advantages in convergence and response speed compared to traditional reinforcement learning algorithms and heuristic algorithms. The response time of this algorithm is 3.0% lower than the traditional deep Q-network (DQN) algorithm and more than 8.4% shorter than the heuristic algorithm.

Designing and prototyping extensions to the Message Passing Interface in MPICH

As HPC system architectures and the applications running on them continue to evolve, the MPI standard itself must evolve. The trend in current and future HPC systems toward powerful nodes with multiple CPU cores and multiple GPU accelerators makes efficient support for hybrid programming critical for applications to achieve high performance. However, the support for hybrid programming in the MPI standard has not kept up with recent trends. The MPICH implementation of MPI provides a platform for implementing and experimenting with new proposals and extensions to fill this gap and to gain valuable experience and feedback before the MPI Forum can consider them for standardization. In this work, we detail six extensions implemented in MPICH to increase MPI interoperability with other runtimes, with a specific focus on heterogeneous architectures. First, the extension to MPI generalized requests lets applications integrate asynchronous tasks into MPI’s progress engine. Second, the iovec extension to datatypes lets applications use MPI datatypes as a general-purpose data layout API beyond just MPI communications. Third, a new MPI object, MPIX_Stream, can be used by applications to identify execution contexts beyond MPI processes, including threads and GPU streams. MPIX stream communicators can be created to make existing MPI functions thread-aware and GPU-aware, thus providing applications with explicit ways to achieve higher performance. Fourth, MPIX Streams are extended to support the enqueue semantics for offloading MPI communications onto a GPU stream context. Fifth, thread communicators allow MPI communicators to be constructed with individual threads, thus providing a new level of interoperability between MPI and on-node runtimes such as OpenMP. Lastly, we present an extension to invoke MPI progress, which lets users spawn progress threads with fine-grained control to adapt the communication performance to their application designs. We describe the design and implementation of these extensions, provide usage examples, and highlight their expected benefits with performance results.