Program Resources Research Articles

Research priorities: Establishing discipline-based education research in prosthetics and orthotics.

Education research, as a field of study, is relatively new to the health professions. Research and scholarship in prosthetics and orthotics education is limited, and the priority areas and needs of individuals interested in pursuing this area of research and scholarship are unknown. The objectives of this study were to collaboratively identify the areas in which education research in prosthetics and orthotics is needed, to prioritize these areas, and to evaluate the resources needed to support those interested in pursuing education research. Mixed methods. The researchers used a participatory action research approach. Focus group sessions were held at the 2022 International Society for Prosthetics and Orthotics (ISPO) Global Educators Meeting. Findings from the focus groups informed creation of a survey that was distributed internationally. The results of this survey were presented to attendees at the 2023 ISPO World Congress for review and ranking. Findings from focus group discussions were used to create a 20-item survey. High priority categories included providing feedback to students, program evaluation, and clinical education and internship. Protected time and funding, faculty development, and program resources were identified as items needed to support faculty in pursuing education research. At the ISPO World Congress, participants highly rated the categories of academic v. clinical practice, program resources, and program evaluation. Many categories were identified as priorities for orthotic and prosthetic education research, and ways to support faculty pursuing this work were highlighted. This study identified opportunities for education researchers to focus their efforts on directly impacting needs of education programs and the profession.

Management of genomic surveillance for respiratory viral infections circulating in the territory of the city of Moscow

Introduction. Outbreaks of respiratory viral infections have an economic impact on the healthcare system and pose a threat to public well-being. Monitoring for the incidence of acute respiratory viral infections in a metropolitan area, especially during the COVID-19 pandemic, was in dire need of an adequate tool to identify mutations and variants that evade vaccine immunity and initiate an increase in incidence. Genomic surveillance was required for a timely response. Purpose of the study. Management of the Moscow Genomic Center for genomic surveillance for acute respiratory viral infections and COVID-19, with an assessment of the results during seasonal outbreaks in the capital. Materials and methods. With the support of the Moscow City Health Department, management and logistics measures were developed and implemented, the NGS testing program in patient samples on a planned basis and during the period of increased incidence of acute respiratory viral infections and COVID-19, technical procedures for high-throughput sequencing were developed, the security of data exchange and biosafety of medical personnel were ensured. Results. The Moscow Genome Center was established within the structure of the Moscow City Health Department. For the period from October 2023 to April 2024, targeted NGS data (a panel of thirty two pathogens, 6528 samples were tested): SARS-COV-2 dominated the entire period, the incidence of influenza A (H3N2) increased sharply from the beginning of December and decreased sharply by the end of January. Sars-CoV-2 genetic lineage rotation: XBB lineage dominated (most represented: XBB.1.16, XBB.1.16.11) from October to the end of January, then JN lineage prevailed (most represented: JN.1, also found: JN.1.13, JN.1.18, JN.1.19, JN.1.4). Influenza A strain rotation: H3N2 (A/Massachusetts/01/2020) and H3N2 (A/Massachusetts/38/2019) dominated from December to February. Research limitations. A targeted panel of 32 respiratory viruses most common in the Moscow population was used for NGS. Incomplete coverage of the entire viriome is a conditional limitation. Conclusion. Representative, high-quality and continuous genetic surveillance has been managed in the capital. The Moscow Genome Center has successfully implemented the NGS Testing Program and support for the Russian Genomic Resource of Microorganisms VGARus.

Phased T2T genome assemblies facilitate the mining of disease-resistance genes in Vitis davidii

Abstract Grape is an important fruit crop, and its production faces significant threat from diseases, resulting in substantial economic loss. Wild grape relatives are valuable resources for the restoration of disease-resistance loci. However, available resistance loci in wild grape genomes remain largely unexplored. In this study, we assembled two phased genomes, including a high resistant Chinese wild grape, Vitis davidii Föex, and a susceptible cultivar, V. vinifera L. cv. “Manicure Finger”. We detected a total of 36,688 structural variations (SVs), with the genes associated with heterozygous SVs showing an enrichment in allele-specific expression (ASE). Furthermore, we identified eight subgroups of R genes and found that 74.2% of R genes overlap with transposable elements (TEs). Among R genes, NBS-type genes exhibit higher expression profiles in the wild grape genome compared with those in the grape cultivar. Additionally, five specific NBS-type R gene clusters were identified in the wild grape genome that are absent in the cultivar. Through genetic mapping, we identified four quantitative trait loci (QTLs) associated with grape white rot resistance based on the Vitis davidii genome, within which six NBS-type R genes exhibit differential expression between wild and cultivated grapes. Overall, our study revealed the landscape of resistance genes in grape genomes, providing valuable genetic resources for further breeding programs.

Optimization of breeding program design through stochastic simulation with evolutionary algorithms.

The effective planning and allocation of resources in modern breeding programs is a complex task. Breeding program design and operational management have a major impact on the success of a breeding program and changing parameters such as the number of selected/phenotyped/genotyped individuals in the breeding program will impact genetic gain, genetic diversity, and costs. As a result, careful assessment and balancing of design parameters is crucial, taking into account the trade-offs between different breeding goals and associated costs. In a previous study, we optimized the resource allocation strategy in a dairy cattle breeding scheme via the combination of stochastic simulations and kernel regression, aiming to maximize a target function containing genetic gain and the inbreeding rate under a given budget. However, the high number of simulations required when using the proposed kernel regression method to optimize a breeding program with many parameters weakens the effectiveness of such a method. In this work, we are proposing an optimization framework that builds on the concepts of kernel regression but additionally makes use of an evolutionary algorithm to allow for a more effective and general optimization. The key idea is to consider a set of potential parameter settings of the breeding program, evaluate their performance based on stochastic simulations, and use these outputs to derive new parameter settings to test in an iterative procedure. The evolutionary algorithm was implemented in a Snakemake workflow management system to allow for efficient scaling on large distributed computing platforms. The algorithm achieved stabilization around the same optimum with a massively reduced number of simulations. Thereby, the incorporation of class variables and accounting for a higher number of parameters in the optimization framework leads to substantially reduced computing time and better scaling for the desired optimization of a breeding program.

A Survey on Heterogeneous CPU–GPU Architectures and Simulators

ABSTRACTHeterogeneous architectures are vastly used in various high performance computing systems from IoT‐based embedded architectures to edge and cloud systems. Although heterogeneous architectures with cooperation of CPUs and GPUs and unified address space are increasingly used, there are still a lot of open questions and challenges regarding the design of these architectures. For evaluation, validation and exploration of next generation of heterogeneous CPU–GPU architectures, it is essential to use unified heterogeneous simulators for analyzing the execution of CPU–GPU workloads. This article presents a systematic review on challenges of heterogeneous CPU–GPU architectures with covering a diverse set of literatures on each challenge. The main considered challenges are shared resource management, network interconnections, task scheduling, energy consumption, and programming model. In addition, in this article, the state‐of‐the‐art of heterogeneous CPU–GPU simulation platforms is reviewed. The structure and characteristics of five cycle‐accurate heterogeneous CPU–GPU simulators are described and compared. We perform comprehensive discussions on the methodologies and challenges of designing high performance heterogeneous architectures. Moreover, for developing efficient heterogeneous CPU–GPU simulators, some recommendations are presented.

Technology Adaption in Distance Teacher Training: The Impact of Demographic Factors on Learners’ Technology Adaption

Understanding how demographic characteristics influence students' technology adaptation is crucial for effective online learning. This study explored the impact of these characteristics on distance education (DE) students' technology adaptation at a sub-Saharan African university. Using a descriptive survey design with a high-reliability score (Cronbach’s Alpha = 0.898), data were collected from 200 DE students across 14 study centres. The study tested seven hypotheses, employing statistical analyses like ANOVA, t-tests, and post hoc tests. Results revealed that while gender and employment status did not significantly affect technology adaptation, age, academic programme, academic level, and study centre did. Students aged 26-35 adapted better, with those in Mathematics and English programs showing higher adaptation scores compared to those in the Postgraduate Diploma in Education (PGDE) program. Additionally, higher-level students and those from well-resourced study centres demonstrated superior adaptability. The study suggests providing targeted support based on age, academic programme, and study centre resources to enhance technology adaptation in DE. To further improve students' technology proficiency, the study recommends that DE institutions offer regular training sessions and workshops to help students navigate online platforms, use digital libraries, and maximize productivity tools.

Novel R package to quantify and monetize burden of disease attributable to air pollution and noise

Abstract Background Ambient air pollution and noise substantially impact public health and the economy. Different methods to quantify these impacts are described in the literature. Objectives Within the European project BEST-COST (Burden of disease-based methods for estimating the socio-economic cost of environmental stressors), we aim to develop an open-source R package to quantify and monetise the disease burden attributable to air pollution and noise, including the impact of social inequalities. Methods The developed code will allow for different calculation pathways including: single baseline health data vs. age-specific estimates from life tables; relative and absolute risk; scenario comparison based on the population attributable fraction vs. population impact fraction; single-pollutant vs. correlated exposures; and outdoor vs. indoor air pollution. Moreover, the package can digest a variety of input data formats for the exposure-response function (e.g. relative risk with fixed shape vs. user-defined function) and exposure data (e.g. population-weighted mean vs. categorical distribution, spatial data). Eligible impact metrics will include morbidity incidence and prevalence, number of deaths, years of life lost, and years lived with disability. Finally, the R package will enable quantifying social inequities (using a novel multiple deprivation index) and monetising the attributable disease burden (using a state-of-the-art approach). Results During development, the R package will be tested in BEST-COST case studies in 5 European countries (BE, EE, FR, NO, PT), compared with existing tools, and discussed with key users in a workshop. The final R package will be available on GitHub in 2026. Conclusions This tool will allow the quantification and monetisation of the health impact of air pollution and noise. The R package will be a flexible programming resource that can be used as a standalone or combined with existing tools to build a more solid basis for evidence-based policy making. Key messages • This open-source tool will allow the quantification and monetisation of the health impact of air pollution and noise, including the impact of social inequalities. • The R package will be a flexible programming resource that can be used as a standalone or combined with existing tools to build a more solid basis for evidence-based policy making.

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.

Development, field testing, and initial validation of an adherence rubric for caregiver coaching

IntroductionThe translation and use of evidence-based practices (EBPs) within early intervention (EI) systems presents challenges. The Office of Special Education (OSEP) has emphasized results-driven accountability to expand state accountability from compliance to also include quality services that align with EBPs. OSEP’s results-driven accountability provided states the opportunity to design State Systemic Improvement Plans (SSIP) to strengthen the quality of EI services by increasing the capacity of EI systems to implement, scale-up, and sustain use of EBPs. Caregiver coaching is widely accepted as an EBP within EI settings, yet uptake and fidelity to coaching practices remains limited. Such widespread implementation of caregiver coaching is partially limited by a lack of measurement tools that operationalize behaviors consistent with coaching. In this study, we describe the development of the Kentucky Coaching Adherence Rubric-Revised (KCAR-R) and psychometric testing of the instrument.MethodsWe developed and tested the KCAR-R to measure fidelity of coaching practices within a state-wide professional development program, the Coaching in Early Intervention Training and Mentorship Program. We define operational elements of the KCAR-R and rubric design elements related to: creators; users and uses; specificity, judgment complexity; evaluative criteria; quality levels; quality definitions; scoring strategies; presentation; explanation; quality processes; accompanying feedback information; secrecy; and exemplars. With regard to psychometric validation of the KCAR-R, interrater reliability was analyzed using intraclass correlation coefficients across eight raters and 301 randomly selected video submissions. Internal consistency was evaluated using Cronbach’s alpha across 429 video submissions.ResultsResults showed 0.987 agreement, indicating excellent interrater reliability; item level internal consistency values ranged from 0.860 to 0.882. for scale if item deleted and 0.834 for the total scale.DiscussionFindings from this study showed that the KCAR-R operationalized behaviors that exemplify caregiver coaching and may serve as a resource for other states or programs to document the quality and fidelity of evidence-based EI services. To influence EI provider practices at a systems level, we used implementation science to guide our work and provide examples of how EI systems seeking ways to create sustainable quality services may build upon our approach.

Assessing the feasibility of the GOTT (Gabapentinoid and Opioid Tapering Toolkit) in a primary care setting in North-East England.

To assess the feasibility and possible impacts of implementation of systematic non-pharmacological interventions to reduce the level of prescribing of opioid and gabapentinoid analgesics for chronic non-cancer pain (CNCP), particularly high-dose prescriptions, through a proof-of-concept study in a deprived area (second lowest decile) primary care practice in North-East England. Twenty-five primary care staff (clinical and non-clinical) of which 18 clinicians received the intervention. All clinicians received an educational skills programme to support patient pain self-management, tailored on the clinicians' self-assessment of their learning needs, embedding both clinician skill learning and patient self-care resources for rapid access within consultations into a GP clinical management computer system. Clinical staff completed questionnaires before and after the GOTT intervention to assess levels of knowledge and confidence in their own skills to support chronic pain self-management across several domains. Prescription data were used to measure changes in opioid and gabapentinoid prescribing at the practice across the 12-month intervention and 30-month follow-up period. Prescribing of opioid and gabapentinoid/pregabalin decreased substantially in the practice across the intervention period (c. 90% in high-dose opioid [p = .0118], and 15% gabapentin/pregabalin prescriptions, respectively), over a one-year period during the COVID-19 pandemic. Follow-up analysis showed 100% and c.50% reductions, respectively, in December 2022. The questionnaire data showed an increase in clinician confidence in skills to enable self-management over the intervention period, overall (p = .044) and, specifically across three of the five domains measured: supporting behavioural change (p = .028), supporting self-care (p = .008), and managing difficult consultations (p = .011). The GOTT intervention program provided some initial evidence of a proof-of-concept for the implementation of a systematic non-pharmacological pain management skills and resources programme addressing lack of confidence in skills to introduce and support self-management and reduce use of strong opioids and gabapentinoids.

Identification of Soybean Mosaic Virus Resistant Soybean Genotypes using Gene-Linked Markers

Soybean is widely consumed legumes both in the form of food and feed. In the present scenario, the quality and quantity of soybean production is largely affected by different biotic factors, Soybean Mosaic Virus being one of the major biotic stress. Plant host resistance is an effective major to develop durable resistance from viral diseases, therefore understanding the molecular mechanism and identifying the resistant genotypes can contribute to resistance breeding in soybean. In 2020, ninety genotypes collected from Grain Legume Research Program, local collection and National Agricultural Genetic Resource Center were screened for the presence of resistant genes using gene linked molecular markers. Among them, three genotypes were identified with Soybean Mosaic Virus resistant loci, Rsv1 amplified by linked marker Satt114, four genotypes were identified with resistant loci, Rsv3 with linked marker Sat_424, and eight genotypes were identified with resistant loci, Rsv4 amplified by linked marker Satt558. Thus, showing expression of dominant resistance to some SMV strains. Interestingly, two genotypes (Co 175 and TGx1990-55) possessed both Rsv1 and Rsv3 loci thus showing potential of resisting broad spectrum SMV resistance to all SMV strains. Therefore, this study has identified potential genotypes that can be used as parental materials for resistant gene pyramiding in soybean breeding for SMV resistance

Charismatic Leadership in Improving The Quality of Resources in Islamic Boarding School

This research aims as a solutive effort in overcoming the low quality and loyalty of human resources and the management system of the Islamic boarding school through the charismatic leadership of caregivers in the Muhammadiyah Darul Arqom Karanganyar Islamic Boarding School. This research uses a qualitative approach with data analysis techniques using the concept of Miles and Hubermen. The data source of this research consists of primary data sources through in-depth interviews with Islamic boarding school managers, students and alumni, then secondary data sources through relevant literature sources. The data collection techniques of this study are observation, interviews and documentation studies. The results showed that a caregiver must have skills in combining leadership styles in implementing his leadership. charismatic abilities that become identity in influencing HR elements. In terms of motivating subordinates, both educators and students are expected to be done well by the government with a person-to-person, group-to-group, and collaborative approach. Conclusion of improving the quality of education at Pesantren Muhammadiyah Darul Arqom Karanganyar its leadership pattern in improving the quality of human resources of teaching staff and education staff, namely by changing the mindset of human resources by encouraging, motivating, providing opportunities for teaching staff and education staff to make changes for the better by delegate human resources in HR development programs, such as training, workshops, seminars, and so on.

Comparative Transcriptomic Profiling of Brain and Liver in Phoenix Barbs (Spinibarbus denticulatus denticulatus) with Differential Growth Rates

Phoenix barb (Spinibarbus denticulatus denticulatus) is a notable fish species in South China and is valued for its ecological and economic importance. To elucidate the molecular basis underlying its growth, we collected transcriptome profiles from the brains and livers of individual fish with different growth rates and compared differentially expressed genes (DEGs) at 3 and 9 months after hatching (MAH). Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the pathways associated with growth were predominantly enriched in fatty acid biosynthesis, AMPK signaling, PI3K-Akt signaling, estrogen signaling, and protein metabolism. Notably, a greater number of DEGs from the fast-growing group were associated with these pathways at the early growth stage (3 MAH) than at the later stage (9 MAH). Real-time quantitative PCR results further validated that the genes involved in these pathways exhibited higher expression levels in fast-growing samples. This study enhances our understanding of the genetic mechanisms underlying growth rate differences and provides valuable genetic resources for future growth-related molecular breeding programs of phoenix barbs.

Enhancing Germplasm Collection with the NBPGR-PDS App

This research explores the intersection of Java programming and plant genetic resources (PGR) management by focusing on the development and implementation of the NBPGR-PDS (National Bureau of Plant Genetic Resources Passport Data Sheet) app. By utilizing Java in mobile development, the NBPGR-PDS app addresses challenges in real-time data collection, security, and usability during field explorations for plant germplasm. This paper investigates how Java’s core features—such as platform independence, multithreading, and security—support scientific research in PGR, ensuring reliable data management and enhancing germplasm collection missions. The study concludes with recommendations for improving digital tools and future research directions in this domain.

Empowering Women's Business Groups through Microfinance in Village Enterprises

Background: Effective management of microfinance institutions is essential for rural economic development. Specific Background: This study examines BUMDesa Bersama “Gempol Sejahtera,” focusing on its application of microfinance principles in financial management. Knowledge Gap: There is limited research on how structured bureaucracies affect the success of microfinance programs in community organizations. Aims: The research evaluates the impact of organizational structure on microfinance initiatives and resource management. Results: Findings show that a clear bureaucratic structure enhances efficiency and role clarity, facilitating successful program implementation. Clear Standard Operating Procedures (SOPs) and task fragmentation are critical for optimal execution. Novelty: This study offers new insights into the link between organizational structure and microfinance effectiveness in community enterprises, enriching the literature on rural empowerment. Implications: The results underscore the importance of strong organizational frameworks to improve resource management and program responsiveness, thereby promoting economic empowerment, especially among women. Highlights : Organizational Efficiency: A clear bureaucratic structure enhances operational effectiveness and role clarity. Critical Procedures: Implementing Standard Operating Procedures (SOPs) is essential for program success. Economic Empowerment: Strong frameworks promote responsiveness and resource management, benefiting community initiatives. Keywords: microfinance, organizational structure, community empowerment, financial management, bureaucratic efficiency

A Case Study Analysis of Library Services for Adults Experiencing Chronic Homelessness in Harrison County, Mississippi

ABSTRACT The author partnered with the Harrison County Library System (HCLS) to create a multilevel program plan for expanding library services to the growing number of homeless people who seek refuge in the library’s facilities. The research for this program plan involved evaluating existing library resources such as collections, programming, and available staff resources; identifying the best practices for providing services to people experiencing homelessness; identifying staff perceptions of working with the homeless; and identifying potential partners for expanded service offerings. The author used document analysis to research data on the library system (IMLS 2021 and reviewed library policy to identify barriers to providing service for the homeless. The author applied qualitative and humanistic research methods involving personal narratives (scenarios) provided through two separate one-on-one interviews with the library director to discuss the library system in general, and one one-on-one interview with six library staff working in the three libraries with the highest use by people experiencing homelessness. This paper discusses the findings from this mixed methods research project and their application to expanding services for chronically homeless patrons who use the HCLS.

The Role of Gamification in Teacher Training for Educational Inclusion

This research sought to evaluate the impact of a gamified resource program on inclusive education learning and the strengthening of inclusive skills in university students in the city of Machala, Ecuador; focusing on knowledge and understanding. The research has a quantitative approach, with a quasi-experimental design, used an Educational Inclusion questionnaire with multiple options which was based on a Likert scale, was used as a data collection instrument, with a representative sample of 60 students of the seventh semester of the Pedagogy of Experimental Sciences career. After the implementation of the learning sessions, a significant improvement was observed in the experimental group, evidenced by an increase in the "Achieved" category and a significant reduction in the "Start" category. Inferential analysis showed that the program had a significant impact compared to the control group, with a significance level of 0.001. In conclusion, the program proved to be an effective tool to strengthen the dimension of knowledge and understanding in university students, thus contributing to Sustainable Development Goal number 4 on quality education.

Diversity, Equity, and Inclusion Efforts in Graduate Medical Education: Identifying Opportunities for Collaborative Learning.

Background Physician-patient racial and cultural concordance is essential to address health care disparities. Yet, limited literature on diversity, equity, and inclusion (DEI) outcomes in graduate medical education (GME) suggests the need for high-yield DEI resources. Objectives To describe and identify DEI efforts by US residency program director (PD) associations and areas for collaboration among the GME community. Methods Through bimonthly teleconferences and 5 iterative revisions from June to September 2022, the DEI workgroup of the US Organization of PD Associations developed a 17-question needs assessment survey to investigate DEI activities across residency PD associations, which was delivered twice electronically from September to November 2022 to 30 specialty PD association representatives. Results Survey response rate was 73% (22 of 30). Specialties track resident demographics more than PD demographics (11 of 22, 50% vs 7 of 22, 32%). Tracked demographics vary and include race, gender, and sexual orientation. Most PD associations have DEI committees (16 of 22, 73%) implementing various initiatives, the most common of which was providing resources to ensure diverse representation (11 of 16, 69%). Most specialties provide residency recruitment resources (14 of 22, 64%) and funding for visiting rotations or mentorship for underrepresented trainees (12 of 22, 54%). Resources for pipeline programs (7 of 22, 32%) and retention of diverse residents (7 of 22, 32%) were less common. Faculty development training focused more on teaching DEI to residents (14 of 22, 64%) than on teaching health disparities (7 of 22, 32%). Conclusions Our study demonstrates substantial DEI interventions among specialty PD associations. Yet, educational gaps exist in specific DEI content, faculty development, and curricular dissemination.

SUPPLEMENTARY EDUCATION PORTAL CREATION FOR STUDENTS

The aim of the research described in this article is to develop and implement an educational portal that enables students to acquire additional knowledge and skills by studying the process of creating electronic resources in the educational field. The portal addresses the current demands of digital learning and provides access to supplementary educational opportunities. The article discusses software development methods, the selection of an optimal environment for application creation, and the key stages of the development process. The focus of the research is on creating a supplementary education portal, emphasizing the use of object-oriented programming (OOP) methods, web technologies, web programming, and electronic educational resource creation techniques. As a result of the research, technologies such as PHP, MySQL, and JavaScript were chosen, leading to the successful implementation of the application. An analysis of existing educational portals, such as BilimLand and Daryn Online, was conducted. The outcome of the work was the creation of a functional educational portal that allows students to effectively gain additional knowledge, meeting modern requirements. The portal offers interactive tools available to users and adapts to individual educational needs.

Perspective on complexity measures targeting read-once branching programs

A model of computation for which reasonable yet still incomplete lower bounds are known is the read-once branching program. Here variants of complexity measures successful in the study of read-once branching programs are defined and studied. Some new or simpler proofs of known bounds are uncovered. Branching program resources and the new measures are compared extensively. The new variants are developed in part in the hope of tackling read-k branching programs for the tree evaluation problem [8]. Other computation problems are studied as well. In particular, a common view of a function studied by Gál [11] and a function studied by Bollig and Wegener [3] leads to the general combinatorics of blocking sets. Technical combinatorial results of independent interest are obtained. New leads towards further progress are discussed. An exponential lower bound for non-deterministic read-k branching programs for the GEN function [17] is also derived, independently from the new measures.