Programming Practices Research Articles

The contribution of public libraries in strengthening digital citizenship in Egyptian society – an exploratory study

Purpose This study aims to assess the involvement of Egyptian public libraries in supporting digital citizenship and propose a vision to leverage their role in promoting digital citizenship culture, aligning with Egypt Vision 2030 for sustainable development. Design/methodology/approach A questionnaire was used to sample 21 public library managers in Egypt. The study adopted a descriptive-analytic approach, measuring library readiness infrastructure, strategic planning for digital citizenship support and participation ratings on nine dimensions of digital citizenship as defined by the Ribble model. Findings Results indicated a moderate level of participation overall (average score of 1.72), with high levels in dimensions like digital access and digital literacy but much lower levels in others, particularly digital law and digital health and safety. Library readiness was found to have a positive effect on the level of digital citizenship promotion. Research limitations/implications The small sample size may limit generalizability. Future research should explore best practices for digital citizenship programming in libraries and strategies for overcoming implementation barriers. Practical implications The study underscores the need for Egyptian public libraries to enhance their readiness and participation in promoting digital citizenship. This requires investment in digital resources, staff training, community outreach and collaboration with educational institutions and community partners. Originality/value This study provides insights into the role of public libraries in promoting digital citizenship in the context of a developing country’s national vision. It offers a framework for libraries worldwide to assess and enhance their digital citizenship initiatives.

The Influence of Training and Development Programme on Staff Performance: A Case of Tanzania Revenue Authority in the Coast Region

Training and development programmes play a crucial role in enhancing staff performance within an organization. These programmes are designed to improve employees’ knowledge, skills, and abilities, ultimately leading to increased productivity, efficiency, and overall organizational success. One of the primary reasons why training and development programmes are crucial for staff performance is that they contribute to the enhancement of employees’ skills and knowledge. Through targeted training initiatives, employees can acquire new skills, stay updated with industry best practices, and gain a deeper understanding of their roles within the organization. It is in this context, this study assessed the influence of training and development program on staff performance: a case of Tanzania Revenue Authority, coast region. The study focused on three specific objectives including to identify existing practice of training and development programmes offered by TRA coast region, to determine whether training and development programmes have effects on employees’ performance at TRA coast region and to investigate the current challenges the TRA coast region experiences in training it employees. The study was done at TRA Coast region where by a sample of 92 respondents from the population of 120 senior and operational employees who randomly and stratified sampled participated. The study was guided by transformative learning theory. Descriptive research design was employed. Questionnaires and interview questions were used to collect data. Data was analyzed using descriptive and regression analysis. Findings suggest that on-the-job training at TRA allows employees to acquire specific job- related skills in a real work environment. Through engaging in actual tasks and responsibilities under the guidance of experienced mentors or supervisors, employees can develop a deeper understanding of their roles and responsibilities, Findings further suggest that off-the-job training opportunities have played a significant role in enhancing employees’ overall professional development at the Tanzania Revenue Authority (TRA). It was revealed from the study that TRA is relevant to employees’ job responsibilities, and that the feedback received during on-the-job training is constructive while training and positively impacted employees’ job performance. Findings revealed that off-the-job training opportunities enhanced employees’ overall professional development. The study concludes that on-the-job training programmes at TRA are relevant to employees’ job responsibilities, and for that case the feedback received during on- the-job training is constructive. The study also concluded that induction training provided by TRA Coast Region adequately familiarizes new employees with organizational policies and procedures. It was recommended that the management of TRA should continue investing in training and development programmes since Training and development programmes leads to improved employee performance by equipping them with the necessary skills and knowledge to carry out their duties effectively.

Goal-Setting, Active Practice, Self-Monitoring: a Web-Based System to Improve Programming Proficiency

Mastering programming fundamentals poses a significant challenge for students, especially in demanding higher education environments. This pilot study investigates the effectiveness of a web-based system, SoftwareSkills, designed to enhance programming proficiency among second-year bachelor students. SoftwareSkills leverages, active practice, and self-monitoring to support programming practice. Thirty-six students (n=36) participated in a quasi-experimental design, divided into independent exploration and instructional session groups. User interaction data, exercise performance, and behavioural patterns were analysed. The study revealed four distinct learning strategies: reviewing skill masteries, dedicating sufficient time to each question, striving for mastery, and adapting spaced practice. However, some students exhibited rapid responses and minimal practice, suggesting a need for deeper learning strategies. These findings highlight the suitability of self-regulated learning and deliberate practice in programming education. Future work will involve first and second-year programming students and integrate AI-driven personalised learning features to optimise the learning experience. This research contributes insights into effective practices and the potential of technology-aided learning to support student success in programming education.

“Throw Dat Hat!”: Educational Experiences, Attainment, and Aspirations of Adolescent Female Trafficking Survivors in a Residential Facility

This study addresses the gap in research on the educational experiences of adolescent human trafficking survivors, with a focus on their past, present, and future educational experiences and goals. Its objective is to inform the best practices for educational programming within female adolescent residential care centers in the United States. Drawing on a subset of data from a broader mixed-methods case study conducted at the Allasso House residential facility, this research involved 11 current residents. The data sources included case files detailing their past educational experiences, assessments of their current educational achievements, and interviews exploring their future aspirations. The findings reveal key themes related to the residents past risk factors, current educational successes and barriers, and tensions in setting future goals. Most of the residents expressed a desire to attain high school equivalency, identifying financial stability as a primary motivation. They also aspired to form healthy families, while placing significant value on material success. Unlike studies that define success primarily through survival, sobriety, and the avoidance of re-trafficking, this research highlights the broader aspirations of these adolescents, emphasizing the critical role of education in general wellbeing, risk mitigation, and future success. This study underscores the importance of prioritizing educational attainment and long-term aspirations in future research and in the design of residential programs for adolescent survivors of trafficking.

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

Over the past few years, Large Language Models of Code (Code LLMs) have started to have a significant impact on programming practice. Code LLMs are also emerging as building blocks for research in programming languages and software engineering. However, the quality of code produced by a Code LLM varies significantly by programming language. Code LLMs produce impressive results on high-resource programming languages that are well represented in their training data (e.g., Java, Python, or JavaScript), but struggle with low-resource languages that have limited training data available (e.g., OCaml, Racket, and several others). This paper presents an effective approach for boosting the performance of Code LLMs on low-resource languages using semi-synthetic data. Our approach, called MultiPL-T, generates high-quality datasets for low-resource languages, which can then be used to fine-tune any pretrained Code LLM. MultiPL-T translates training data from high-resource languages into training data for low-resource languages in the following way. 1) We use a Code LLM to synthesize unit tests for commented code from a high-resource source language, filtering out faulty tests and code with low test coverage. 2) We use a Code LLM to translate the code from the high-resource source language to a target low-resource language. This gives us a corpus of candidate training data in the target language, but many of these translations are wrong. 3) We use a lightweight compiler to compile the test cases generated in (1) from the source language to the target language, which allows us to filter our obviously wrong translations. The result is a training corpus in the target low-resource language where all items have been validated with test cases. We apply this approach to generate tens of thousands of new, validated training items for five low-resource languages: Julia, Lua, OCaml, R, and Racket, using Python as the source high-resource language. Furthermore, we use an open Code LLM (StarCoderBase) with open training data (The Stack), which allows us to decontaminate benchmarks, train models without violating licenses, and run experiments that could not otherwise be done. Using datasets generated with MultiPL-T, we present fine-tuned versions of StarCoderBase and Code Llama for Julia, Lua, OCaml, R, and Racket that outperform other fine-tunes of these base models on the natural language to code task. We also present Racket fine-tunes for two very recent models, DeepSeek Coder and StarCoder2, to show that MultiPL-T continues to outperform other fine-tuning approaches for low-resource languages. The MultiPL-T approach is easy to apply to new languages, and is significantly more efficient and effective than alternatives such as training longer.

Current and future applications of local field potential-guided programming for Parkinson's disease with the Percept™ rechargeable neurostimulator.

Deep brain stimulation (DBS) has been established as an effective neuromodulatory treatment for Parkinson's disease (PD) with motor complications or refractory tremor. Various DBS devices with unique technology platforms are commercially available and deliver continuous, open-loop stimulation. The Percept™ family of neurostimulators use BrainSense™ technology with five key features to sense local field potentials while stimulating, enabling integration of physiologic data into the routine practice of DBS programming. The newly approved Percept™ rechargeable RC implantable pulse generator offers a smaller, thinner design and reduced recharge time with prolonged recharge interval. In this review, we describe the application of local field potential sensing-based programming in PD and highlight the potential future clinical implementation of closed-loop stimulation using the Percept™ RC implantable pulse generator.

Study protocol: process and outcome evaluation of the Walk with Ease program for fall prevention

BackgroundFalls are the leading cause of injury related morbidity and mortality in older adults. Primary and secondary prevention strategies that address modifiable risk factors are critically important to reduce the number of falls and fall related injuries. A number of evidence-based fall prevention programs are available, but few offer potential for broad dissemination and public health impact due to implementation barriers, such as a need for trained program leaders and clinicians.MethodsThe study will use a randomized controlled trial design to evaluate incorporating physical therapy exercises (primary prevention strategy) within an existing intervention called Walk with Ease. While Walk with Ease has an established evidence-base related to the management of arthritis pain and symptoms, the present study will determine the potential to also reduce falls and fall risk in community-dwelling older adults. The integrated process and outcome evaluation will determine the relative effectiveness of individually-prescribed exercises (compared to standardized exercises) as well as the potential of ‘habit training’ resources (relative to generic behavior prompts) to improve compliance with exercises in this population.DiscussionThe study, conducted through a local clinical-community partnership will advance both the science and practice of community-based fall prevention programming, while also informing implementation strategies needed to promote broader dissemination.Trial registrationClinicalTrials.gov, NCT05693025, Registered January 20, 2023, Updated March 1, 2023.

Interdisciplinary perspective on architectural programming: current status and future directions

PurposeArchitectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.Design/methodology/approachThis study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.FindingsThe study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.Originality/valueBy combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.

Epistemic practices in conceptions of computer science

ABSTRACT Background and context We address the question of what computer science students take the discipline to be. How students conceive the discipline can influence whether a student pursues computer science, what particular area within computer science they focus on and whether they persist in the discipline. In this paper, we examine the epistemic practices – how knowledge is created and warranted – of students and teacher as a way to understand what computer science is, as practiced by the participants. Objective The goal of this study is to provide an account for how the students and teacher make and legitimize knowledge in the classroom and computer lab. Method In this case study, we use a combination of ethnographic and multimodal methods. The data collected include audio and video recordings and researcher field notes of classroom and lab sessions. The analysis of the data considers speech, marks on the blackboard and embodied actions including gesture and gaze orientation. Findings In both of these learning environments, CS knowledge in the form of general principles and programming practice are discussed by students and the instructor. However, the way in which such knowledge is warranted in these two settings is different. In the classroom, the instructor is the authority that warrants knowledge claims, whereas in the computer lab, the computer plays a key authority role to determine “what works”. Implications This study provides insight into how instructors can design learning environments based on ways they intend knowledge to be created and warranted.

Vectfem: a generalized MATLAB-based vectorized algorithm for the computation of global matrix/force for finite elements of any type and approximation order in linear elasticity

In this paper, we introduce a new vectorized MATLAB-based algorithm for efficient serial computation of global matrix/force arising from finite element method (FEM) for meshes of any type and approximation order in linear elasticity. Because for-loops in MATLAB are very slow, we propose a modified process that takes advantage of vectorization and sparse assembly to achieve good performance while using the same memory as the standard algorithm. For this purpose, by using good programming practices, the implementation of this scheme is succinctly described and can be integrated into any MATLAB package dealing with FEM. Specifically, attention is paid to the calculation of the triplet (row index, column index, matrix components) as well as the assembly of the global stiffness matrix, mass matrix and force vector. Additionally, an extension of the proposed approach for Mindlin plate theory and functionally graded materials is outlined. Finally, the accuracy of this strategy is verified on selected numerical tests after comparing the obtained results with those of ABAQUS. In terms of performance, the study conducted on a set of meshes considering the standard algorithm and two other well-known MATLAB vectorized algorithms revealed that: (i) for a 2D beam problem meshed with P1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$P_{1}$$\\end{document}-triangle elements, a speedup of about 8 and 15 is achieved with sparse and fsparse, respectively. (ii) for a 3D plate problem meshed with P1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$P_{1}$$\\end{document}-tetrahedral elements, a speedup of about 4 and 8 is achieved with sparse and fsparse, respectively. When compared to ABAQUS performance, the proposed scheme results in a computational time that is about five times smaller.

Enhancing transparency and security in blood donation management through blockchain technology

In the context of the increasing importance of digitalization and cybersecurity, exploring the application of blockchain and smart contract technologies in blood donation management aims to enhance data transparency and privacy protection, addressing challenges in current healthcare systems. This paper explores the transformative potential of blockchain and smart contract technologies in digitalizing the blood donation process. By leveraging the Ethereum platform and employing a Browser/Server (B/S) architecture integrated with Solidity programming and web development practices, this paper proposes a novel framework designed to enhance the transparency, digitalization, and shared accessibility of blood donation data. The implementation of this system within a healthcare context promises to streamline the donation process, ensuring the integrity and confidentiality of donor data, thereby fostering trust among all stakeholders involved. The findings indicate that the application of blockchain technology not only facilitates a more efficient and secure management of blood donation records but also sets a precedent for future healthcare innovations.

Resuscitation following trauma & role of trauma training programmes in emergency settings: A literature review & survey.

Background & objectives Traumatic injuries, especially in low- and middle- income countries (LMICs), present significant challenges in patient resuscitation and healthcare delivery. This study explores the role of trauma training programmes in improving patient outcomes and reducing preventable trauma-related deaths. Methods A dual approach was adopted, first a literature review of trauma training in LMICs over the past decade, along with a situational assessment survey. For the review of literature, we searched the PubMed database to identify key challenges and innovative practices in trauma training programmes in LMIC's. The survey, conducted among healthcare professionals in various LMICs, collected direct insights into the challenges and the status of trauma training programmes in these countries. Results The literature review analysed 68 articles, with a significant focus on the African subcontinent (36 studies), underscoring the region's emphasis on research on trauma training programmes. These studies mainly targeted physicians, clinicians, postgraduate trainees in surgical or anaesthesia fields and medical students (86.8%), highlighting innovations like simulation-based training and the cascading training model. In our survey, we received 34 responses from healthcare professionals in India, Belarus, Azerbaijan, Nepal and Pakistan. Around 52.9 per cent reported the absence of established trauma training programmes in their settings. The majority of respondents advocated for hands-on, simulation-based training (94.1%) and emphasised the need for structured training programmes (85.3%), feedback sessions (70.6%) and updated protocols (61.8%). This combined data underlined the critical gaps and potential improvements in trauma training programmes and resuscitation practices in LMICs. Interpretation & conclusions Effective trauma care in LMICs requires the establishment of comprehensive, tailored training programmes. Key interventions should include subsidization of pre-existing trauma courses and the adoption of World Health Organization Guidelines for essential trauma care, implementation of trauma quality improvement and review processes and the incorporation of focused assessment with sonography in trauma (FAST) in emergency departments. These steps are crucial for equipping healthcare workers with vital skills and knowledge, fostering a culture of continuous learning and improvement in the realm of trauma care.

Inclusive teaching practices implemented in primary school bilingual programmes in Spain: Teachers’ views and associated factors

Promoting plurilingualism and the provision of inclusive and good-quality education are currently two converging challenges. However, despite the difficulties expressed by teachers in catering to diversity in their bilingual classrooms, the implementation of inclusive practices has received little attention. This study aims to analyse how teachers perceive their use of inclusive practices in primary school bilingual programmes and to identify associated sociodemographic characteristics. In total, a sample of 300 teachers completed the ad hoc designed Inclusive Teaching Practices in Bilingual Education scale. The results of the survey showed that inclusive practices associated with the dimensions of linguistic aspects, materials and resources, and assessment are more frequently used than those associated with methodology, groupings, and collaboration with teachers and families. Moreover, those teachers who were English specialists, were more experienced at teaching in a bilingual programme, used English to a greater extent in the classroom, were highly proficient in English, and who received help from a support teacher used inclusive practices more frequently in their classrooms. Overall, teachers in bilingual education have a positive perception of their use of inclusive practices, but more work is needed regarding collaboration and providing a more personalised approach to education through appropriate scaffolding strategies and feedback.

Enhancing Effectiveness of Programming and Quality of Information Services in the GLAM Sector Through the Serious Leisure Perspective

ABSTRACT Serious leisure enthusiasts, including hobbyists, volunteers and amateurs, continuously need information to deepen their knowledge and improve their skills in their chosen leisure pursuits. The Serious Leisure Perspective (SLP) is a conceptual model that categorises leisure activities and outlines the main components of each category. This paper aims to demonstrate how the SLP can inform policy and practice for public programming and information services across the GLAM sector. To achieve this goal, the author used the SLP as the theoretical framework, reviewed the literature and re-analysed the data pool in his ongoing research trajectory on the informational aspects of serious leisure to address the emergent research questions. The findings suggest that the SLP can inform and transform the policies and practices within the sector in various ways. Firstly, information professionals can benefit from the SLP as a conceptual model to review and revise their current policies and practices. Moreover, they can seek partnerships with local clubs and communities of serious leisure enthusiasts to foster collaboration and use their knowledge and expertise. Finally, adopting the new approach can extend their domain of action from conventional information services to vibrant cultural hubs, which can empower their communities.

Impermanent identifiers: Enhanced source code comprehension and refactoring

In response to the prevailing challenges in contemporary software development, this article introduces an innovative approach to code augmentation centered around Impermanent Identifiers. The primary goal is to enhance the software development experience by introducing dynamic identifiers that adapt to changing contexts, facilitating more efficient interactions between developers and source code, ultimately advancing comprehension, maintenance, and collaboration in software development. Additionally, this study rigorously evaluates the adoption and acceptance of Impermanent Identifiers within the software development landscape. Through a comprehensive empirical examination, we investigate how developers perceive and integrate this approach into their daily programming practices, exploring perceived benefits, potential barriers, and factors influencing its adoption. In summary, this article charts a new course for code augmentation, proposing Impermanent Identifiers as its cornerstone while assessing their feasibility and acceptance among developers. This interdisciplinary research seeks to contribute to the continuous improvement of software development practices and the progress of code augmentation technology.

The Use of Indigenous Knowledge Systems Practices to Enhance Food Security in Vhembe District, South Africa

This paper seeks to examine how subsistence farmers employ indigenous knowledge methods to enhance food security within rural communities in the Vhembe district. It analyses indigenous knowledge practices used in managing climate change impacts on crop production and determines indigenous knowledge processes used to preserve food to fill the gap during food shortages. The paper also considers the indigenous weather prediction approaches used in the area. A participatory rural appraisal is complemented by a qualitative and quantitative approach. This study used semi-structured interviews, questionnaires and focus group discussions for data collection. A survey of 200 randomly selected indigenous farmers was sampled. The finding revealed that local farmers depend on the use of indigenous knowledge practices to improve household food security. The majority of farmers apply manure in their farms using livestock dumps. Also, it shows that 87.8% of households used sun-drying processes for food preservation and used local mortars to pound and grind foodstuffs such as peanuts and maize. Practices such as crop rotations, mixed cropping and intercropping were employed to improve soil fertility and climate change and reduce insect pest outbursts on crops, hence, improving crop production. Indigenous knowledge of rainfall prediction is helpful in preparation for the planting season. The study recommended that agriculture policies must acknowledge indigenous knowledge practices in development programmes and specific policy interventions to promote the indigenous knowledge systems must focus on enhancing socio-economic factors assisting farmers in improving post-harvest storage facilities. The findings could facilitate interaction between indigenous knowledge stakeholders and the Limpopo provincial agriculture training institution. The fulfilment of the United Nations Sustainable Development Goal 2 on zero hunger and food security could benefit from the indigenous knowledge systems.

Unplugged programming practice in Chinese rural primary schools: a method to foster students’ computational thinking and resilience

ABSTRACT Computational thinking (CT), acknowledged as a crucial twenty-first century skill, has attracted considerable attention. However, cultivating CT in resource-limited rural schools is challenging, with limited research on its development in these settings. Unplugged programming, not constrained by the availability of computer hardware, may offer a promising approach to fostering CT skills within rural schools. This study conducted a six-week quasi-experimental project in a rural school in Guizhou, China. In this study, 43 students participated in unplugged activities in the experimental group, while 45 students in the control group did not engage in any form of programming activities. The findings are noteworthy: post-intervention, the experimental group showed notable improvements in CT skills and resilience, unlike the control group. Additionally, the study explored gender differences, revealing that students of all genders exhibited similar growth in CT skills and resilience through unplugged activities. Resilience was identified as a key factor in enhancing CT skills. Interviews further enriched the quantitative findings. This research provides valuable insights for educators to improve rural education and promote CT education.

Implementation of a Universal Framework Using Design Patterns for Application Development on Microcontrollers.

This article focuses on the area of software development for microcontrollers and details the implementation of modern programming practices and principles in embedded systems and IoT applications. This article explains how we implemented previously unimplemented principles and applied design patterns for quality software design on microcontrollers, which are currently only used for developing applications on the higher layers of the IoT reference model. A custom modular framework for microcontrollers is presented, based on applying SOLID principles and adapting design patterns specific to the microcontrollers' application development needs. The implemented framework enables independent communication between modules and flexible integration of hardware components. It is designed with platform independence in mind, contributing to its wide adaptability and ease of use in diverse development environments. By applying these technological approaches, we can create applications that are not only testable and extensible in terms of application logic but also allow for easy adaptation to changes in these hardware resources. Utilizing these capabilities represents an innovative approach to development for microcontrollers that fundamentally improves the long-term sustainability and scalability of applications.

Impact of technological interventions on farmers' income and employment in the Trans-Gangetic Plain region

Agriculture is a cornerstone of India's economy, employing around half of the workforce. However, a very large proportion of agricultural land in India does not have the desirable productivity, which diminishes the prospects for reasonable income to the farmers. Recognizing this challenge, a study on agricultural practices and income of 640 farmers of 32 villages in Haryana was conducted during the period 2016–17 and 2020–21. The analysis revealed an increase in productivity and consequent income of the farmers with varying degrees. The growth in productivity and income was more conspicuous in adopted villages due to technological interventions such as introduction and adoption of high yielding verities/hybrids/breeds, scientific management practices, resource conservation technologies, cost reduction measures and supplementary enterprises, etc. as compared to non-adopted villages. The income augmentation was noticed in field and horticultural crops, livestock and subsidiary enterprises. The highest increase in income was registered with high value commodities. Inter-district variations were noticed in the increase in productivity and income in adopted and non-adopted villages. The net income of marginal farmers increased the most amongst the different categories of farmers during the period of study. The field crops, horticultural crops and livestock contributed more to total additional income. To sustain the growth in productivity and consequent income of the farmers the Government can strengthen mechanism for continuous infusion of improved technologies and management practices in developmental programmes along with incentives to the farmers for quality seed and planting materials and matching critical inputs through a Misson-mode approach, more so in disadvantaged and challenged ecologies.

Coding Competencies across Roles: Computer Programming Practices in News Media Organizations

ABSTRACT Computer programming, or what is commonly known as coding, is an emerging skill supporting the development of digital products in news media organizations. Through the application of practice theory—a hybrid approach that includes elements of field theory, actor–network theory and structuration theory—we examine the ways in which coding competencies are practiced within and across different roles, for different purposes. This exploratory study uses online interviews with 19 news product managers and leaders–or those who are tasked with the management, development, testing, and launching of digital news products–offering unique insight on coding practices across functions. Results highlight the usage, value and nuances of coding skills, providing insight into the activities, materiality, and reflexivity of computer programming as it emerges across roles in a news organization.