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Assessments in education enables educators, curriculum designers, and program developers to evaluate the success of their programs. It also allows for assessing learners enrolled in the programs. Assessment frameworks emanate from a Western and positivistic stance and tend to disregard linguistic and cultural diversity from the mainstream European point of view. That said, failing to recognize the distinctions of diverse learners has led to inequitable learning experiences for minority learners, who have distinct ways of knowing, worldviews, and epistemologies, and have led to their high-rates of drop-out and under-performance in academe. Thus, this study reviews the literature on assessment and has found that current assessment frameworks have contributed to the high drop-out rate and academic under-performance among minority learners. This, however, could be resolved when educators indigenize and re-define assessment frameworks and assess their minority learners' academic performance using culturally appropriate frameworks that incorporate their Indigeneity and ways of knowing. [ABSTRACT FROM AUTHOR]

Adsorption-based direct air carbon capture and storage (DACCS) is an emerging approach to mitigate climate change by removing CO2 from the atmosphere. Recent studies show separately that thermodynamic and environmental performance strongly depend on regional ambient conditions and energy supply but neglect regional CO2 storage potentials. To assess DACCS performance holistically, a detailed global analysis is needed that accounts for the interplay of regional ambient conditions, energy supply, and CO2 storage potential. Hence, we present a novel method for the optimal siting of DACCS plants derived from optimising a dynamic process model that uses global hourly weather data and regionalised data on electricity supply and CO2 storage potential. The carbon removal rate (CRR) measures the climate benefit and describes the speed at which a DACCS plant generates net negative emissions. First, we assume that CO2 storage is possible everywhere. For four electricity supply scenarios, we show that the optimal siting of DACCS significantly increases the CRR when comparing the best and worst locations in each scenario: For a DACCS plant with a nameplate capture capacity of 4 kt CO2 y−1, the CRR can be increased by 63% from 2.16 to 3.53 kt CO2 y‑1 when using photovoltaic, and by 39% from 2.95 to 4.1 kt CO2 y‑1 when using wind power. Assuming a carbon-free electricity supply, the CRR varies between 3.17 and 4.17 kt CO2 y‑1 (32%). Second, we significantly narrow down optimal locations for DACCS considering regional CO2 storage potential through CO2 mineralisation. Overall, accounting for the interplay of regional DAC performance, energy supply, and CO2 storage potential can significantly improve DACCS siting. [ABSTRACT FROM AUTHOR]

This paper focuses on the evaluation of the operational effect of a pumped storage plant in a new power system. An evaluation index system is established by selecting key indicators from the four benefit dimensions of system economy, low carbon, flexibility, and reliability. The evaluation criteria are based on the values of indexes for pumped storage plants that have already been put into operation. Using this method, the operational effect of pumped storage plants with different installed capacities, regulation durations, and conversion efficiencies are comprehensively evaluated and analyzed. The calculation results show that the operation effect of a pumped storage plant with high regulation performance and high comprehensive conversion efficiency is better, indicating that the established index system and evaluation method can comprehensively and truly reflect the positive benefits brought by a pumped storage plant to a new power system. This study can provide a practical reference for the early planning and decision making of pumped storage in a new power system. [ABSTRACT FROM AUTHOR]

Introduction: A comprehensive patient assessment is essential for safe patient care. Patient assessment frameworks for nurses are generally restricted to patients who already have altered vital signs and are at risk of deterioration, or to specific risks or body systems such as falls, pressure injury and the Glasgow Coma Score. Comprehensive and structured evidence‐based nursing assessment frameworks that consider the whole patient and extend beyond vital signs, specific risks and single systems are not routinely used in inpatient settings but are important to establish early risks for patient deterioration. Aim: The aim of this review was to identify nursing assessment tools or frameworks used to holistically assess hospitalized patients and to identify the impact of these tools on patient and health service outcomes. Methods: A scoping literature review was conducted. Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index of Nursing and Allied Health Literature (CINAHL), ProQuest Dissertations and Thesis, Embase and Scopus were databases used in the search. The initial search was conducted in August 2021 and repeated in November 2022. No date parameters were set. The Participants, Concept, Context (PCC) framework was used to guide the development of the research question and consolidate inclusion and exclusion criteria. The PRISMA‐ScR Checklist Item was followed to ensure a methodologically sound checklist was used. Results: Ten primary research studies evaluating six nursing assessment frameworks were included. Of the five nursing assessment frameworks, none were explicitly designed for general ward nursing, but rather the emergency department or specific patient cohorts, such as oncology. Four studies reported on reliability and/or validity; two reported on patient outcomes and four on staff satisfaction. Conclusion: Evidence‐based nursing patient assessment frameworks for use in general inpatient wards are lacking. Existing assessment tools are largely designed for specific patient cohorts, specific body systems or the already deteriorating patient. Implications for the Profession and Patient Care: A framework to enable a structured approach to patient assessment in this environment is needed for patient safety, consistency in assessment, nursing staff enablement and confidence to escalate care. Routine systematic nursing assessment could also aid timely patient escalation. Impact: What problem did the study address? This study addresses the lack of evidence‐based nursing assessment frameworks for use in hospitalized patients. The impact of this is that it highlights the need for an evidence‐based, whole of patient assessment framework for use by nurses for patients admitted to a ward environment. What were the main findings? This review identified limited comprehensive, patient assessment frameworks for use in general ward inpatient areas. Those identified were not validated for this patient cohort and are aimed at patients already deteriorating. Where and on whom will the research have an impact? This review has the potential to impact future research and patient care. It highlights that most research is focussed on processes to detect and escalate care for the already deteriorating patient. There is a need for an evidence‐based routine nursing assessment framework for patients admitted to a ward environment to promote positive patient outcomes and prevent deterioration. Patient and Public Contribution: This review contributes to existing knowledge of nursing patient assessment frameworks, yet it also highlights several gaps. Currently, there are no known, validated, holistic, structured nursing patient assessment frameworks for use in general ward inpatient settings. However, areas that do use such assessment frameworks (e.g. the emergency department) have shown positive patient outcomes and staff usability. Hospitalized ward patients would benefit from routine, structured nursing assessments targeting positive patient outcomes prior to the onset of deterioration. [ABSTRACT FROM AUTHOR]

Abstract Adsorption-based direct air carbon capture and storage (DACCS) is an emerging approach to mitigate climate change by removing CO2 from the atmosphere. Recent studies show separately that thermodynamic and environmental performance strongly depend on regional ambient conditions and energy supply but neglect regional CO2 storage potentials. To assess DACCS performance holistically, a detailed global analysis is needed that accounts for the interplay of regional ambient conditions, energy supply, and CO2 storage potential. Hence, we present a novel method for the optimal siting of DACCS plants derived from optimising a dynamic process model that uses global hourly weather data and regionalised data on electricity supply and CO2 storage potential. The carbon removal rate (CRR) measures the climate benefit and describes the speed at which a DACCS plant generates net negative emissions. First, we assume that CO2 storage is possible everywhere. For four electricity supply scenarios, we show that the optimal siting of DACCS significantly increases the CRR when comparing the best and worst locations in each scenario: For a DACCS plant with a nameplate capture capacity of 4 kt CO2 y−1, the CRR can be increased by 63% from 2.16 to 3.53 kt CO2 y‑1 when using photovoltaic, and by 39% from 2.95 to 4.1 kt CO2 y‑1 when using wind power. Assuming a carbon-free electricity supply, the CRR varies between 3.17 and 4.17 kt CO2 y‑1 (32%). Second, we significantly narrow down optimal locations for DACCS considering regional CO2 storage potential through CO2 mineralisation. Overall, accounting for the interplay of regional DAC performance, energy supply, and CO2 storage potential can significantly improve DACCS siting.

Abstract The urgency to restore landscapes to counteract deforestation, soil degradation, and biodiversity loss has resulted in a global commitment to landscape restoration. Many frameworks and tools have emerged for the design and implementation of restoration activities. The frameworks tend to focus on selected dimensions of sustainability, with the majority focusing on the ecological. Current frameworks miss a balanced assessment of (planned) interventions taking into account also the social dimension relating to participation and ownership as well as improvement of livelihoods. The objective of this review is to assess current frameworks for identification of strength and weaknesses and to derive an integrated Forest Landscape Restoration (FLR) assessment framework model that shall help overcome current limitations. Applying systematic literature review, a total of 22 frameworks are selected and analyzed in-depth applying qualitative content analysis. Our review finds that frameworks vary with respect to their focus and restoration objectives. They also differ in relation to spatial and temporal scale, degree of stakeholder participation, consideration of ecological and social dimensions, monitoring and evaluation approaches, as well as provisions for exit strategies. Findings are summarized in form of an integrated FLR assessment framework, comprising six interlinked components: stakeholder participation, customization, time and scale of application, social-ecological balance, monitoring, evaluation and learning, and exit strategy. The proposed framework facilitates design and implementation of context specific interventions, balancing the nexus of social and ecological dimensions of FLR and acknowledges the need to also include reflection on learnings and planning of an exit strategy for long-term success. Graphical Abstract

Abstract Background The first crucial step towards military hospitals performance improvement is to develop a local and scientific tool to assess quality and safety based on the context and aims of military hospitals. This study introduces a Quality and Safety Assessment Framework (Q&SAF) for Iran’s military hospitals. Methods This is a literature review which continued with a qualitative study. The Q&SAF for Iran’s military hospitals was developed initially, through a review of the WHO’s framework for hospital performance, literature review (other related framework), review of military hospital-related local documents, consultations with a national and sub-national expert. Finally, the Delphi technique used to finalize the framework. Results Based on the literature review results; 13 hospital Q&SAF were identified. After reviewing literature review results and expert opinions; Iran’s military hospitals Q&SAF was developed with 58 indictors in five dimensions including clinical effectiveness, safety, efficiency, patient-centeredness, and Responsive Management (Command and Control). The efficiency dimension had the highest number of indictors (19 indictors), whereas the patient-centered dimension had the lowest number of indices (4 indictors). Conclusion Regarding the comprehensiveness of the developed assessment framework due to its focus on the majority of quality dimensions and important components of the hospital’s performance, it can be used as a useful tool for assessing and continuously improving the quality of hospitals, particularly military hospitals.

The urgency to restore landscapes to counteract deforestation, soil degradation, and biodiversity loss has resulted in a global commitment to landscape restoration. Many frameworks and tools have emerged for the design and implementation of restoration activities. The frameworks tend to focus on selected dimensions of sustainability, with the majority focusing on the ecological. Current frameworks miss a balanced assessment of (planned) interventions taking into account also the social dimension relating to participation and ownership as well as improvement of livelihoods. The objective of this review is to assess current frameworks for identification of strength and weaknesses and to derive an integrated Forest Landscape Restoration (FLR) assessment framework model that shall help overcome current limitations. Applying systematic literature review, a total of 22 frameworks are selected and analyzed in-depth applying qualitative content analysis. Our review finds that frameworks vary with respect to their focus and restoration objectives. They also differ in relation to spatial and temporal scale, degree of stakeholder participation, consideration of ecological and social dimensions, monitoring and evaluation approaches, as well as provisions for exit strategies. Findings are summarized in form of an integrated FLR assessment framework, comprising six interlinked components: stakeholder participation, customization, time and scale of application, social-ecological balance, monitoring, evaluation and learning, and exit strategy. The proposed framework facilitates design and implementation of context specific interventions, balancing the nexus of social and ecological dimensions of FLR and acknowledges the need to also include reflection on learnings and planning of an exit strategy for long-term success. Highlights: Current FLR frameworks emphasize on ecological restoration, neglecting its social dimension, especially socio-cultural context and social cohesion. Understanding restoration as a social-ecological transformation process and putting more emphasis on a balanced approach is key to facilitate long-term success of restoration initiatives. Review results are summarized in form of an integrated FLR assessment framework that comprises six interlinked components: stakeholder participation, customization, time and scale of application, social-ecological balance, monitoring, evaluation and learning, and exit strategy. The framework advocates for context specific planning to ensure restoration that best fits the respective environment. Monitoring and evaluation must be an integral part of each FLR project that is undertaken, in conjunction with multiple stakeholders and over longer time. Specific indicators of FLR targets must be defined for the monitoring of implementation. [ABSTRACT FROM AUTHOR]

Background: The first crucial step towards military hospitals performance improvement is to develop a local and scientific tool to assess quality and safety based on the context and aims of military hospitals. This study introduces a Quality and Safety Assessment Framework (Q&SAF) for Iran's military hospitals. Methods: This is a literature review which continued with a qualitative study. The Q&SAF for Iran's military hospitals was developed initially, through a review of the WHO's framework for hospital performance, literature review (other related framework), review of military hospital-related local documents, consultations with a national and sub-national expert. Finally, the Delphi technique used to finalize the framework. Results: Based on the literature review results; 13 hospital Q&SAF were identified. After reviewing literature review results and expert opinions; Iran's military hospitals Q&SAF was developed with 58 indictors in five dimensions including clinical effectiveness, safety, efficiency, patient-centeredness, and Responsive Management (Command and Control). The efficiency dimension had the highest number of indictors (19 indictors), whereas the patient-centered dimension had the lowest number of indices (4 indictors). Conclusion: Regarding the comprehensiveness of the developed assessment framework due to its focus on the majority of quality dimensions and important components of the hospital's performance, it can be used as a useful tool for assessing and continuously improving the quality of hospitals, particularly military hospitals. [ABSTRACT FROM AUTHOR]

Public–private partnerships (PPPs) and sustainability have received considerable attention in delivery and execution of transportation infrastructure projects in the United States. Existing sustainability rating tools are neither designed nor suitable for PPPs due to unbalanced weights among the triple bottom line (TBL) of sustainability and the lack of additional considerations beyond the TBL. This study proposes and validates an integrated sustainability assessment framework that aims to capture all of the relevant and important decision factors in terms of assessing the sustainability of PPP highway projects in a comprehensive manner. Through literature review, semistructured interviews, and questionnaire surveys featuring Delphi and analytic hierarchy process techniques, a list of applicable assessment factors (five dimensions, 18 indicators, and 65 subindicators) and their respective weights and priorities were identified. Based on these assessment factors, the proposed framework seeks to determine PPP projects’ level of achievement in terms of sustainable practices. The framework was validated for its applicability and usability for US PPP highway projects through an online survey. Results show that the economic/ financial dimension is the most important dimension for highway PPP experts, followed by contractual, technical, environmental, and social dimensions in descending order by relative importance. This calls for additional attention to be paid to environmental and social sustainability considerations in PPP highway projects. Meanwhile, the results also reflect an urgent need for improved sustainability planning and awareness among stakeholders of PPP highway projects [ABSTRACT FROM AUTHOR]

AbstractThis design and development research (DDR) involved analysis, design, development, implementation, and evaluation (ADDIE) phases to develop an assessment framework for Grade 10 social studies. Data were collected from 10 social studies teachers in La Union, Philippines, through class observations, content analysis of lesson plans and periodic tests, and interviews. Findings of the study revealed that there were no formative and summative assessments used by teachers that could determine critical thinking by raising relevant questions and verifying the accuracy of information. Most of the teachers have encountered problems with students who have difficulty reading and creating assessments that ask students to verify the accuracy of information. Thus, an assessment framework was developed to help teachers create assessments that can determine critical thinking. The alignment of assessments created by teachers using the framework revealed that most of these assessments ask students to formulate solutions regarding controversial issues. However, verifying the accuracy of information was the least integrated critical-thinking skill by social studies teachers in creating assessments using the developed framework. Hence, the developed framework was improved to ensure that social studies teachers will integrate various critical-thinking skills like verifying the accuracy of information in creating assessments for controversial issues. [ABSTRACT FROM AUTHOR]

Excessive nutrients from anthropogenic activities have caused eutrophication worldwide. While available assessment frameworks aid in selecting strategies to control nutrients, they often lack a holistic approach that considers social, ecological, and managerial categories to ensure long-term effectiveness for both point and non-point sources. This study addresses this gap by introducing a holistic sustainability framework with ten indicators derived from a literature review and stakeholder engagement. Quantitative and qualitative indicators were defined using either existing or newly designed methods. A weighted sum multi-criteria method was applied to calculate the total score for each strategy, considering indicator levels and weightings. The framework was applied to a case study in Hendry County, Florida, to demonstrate its applicability by assessing ten strategies. The same top-ranked strategy, alum treatment, was identified through this framework after applying 100 weighting scenarios. This demonstrates the robustness of strategy selection using the developed framework. This framework can be applied with limited data by prioritizing inputs related to five major contributors, effective cost, nutrient loading reduction, technology readiness level, benefit and direct impact, and labor operation and maintenance requirement, to the total score. These major indicators highlight the importance of considering social–ecological and managerial categories in addition to technological, environmental, and economic aspects in sustainability assessment of nutrient management strategies. [ABSTRACT FROM AUTHOR]

The construction industry is one of the primary sources of carbon emissions. In the context of the global response to reduce greenhouse gas emissions and the impacts of climate change, China implements the Carbon Peaking and Carbon Neutralisation policy. The policy vigorously promotes energy conservation and emission reduction in the construction industry, particularly housing. Due to the large stock of existing old multi-storey residential buildings in China, most of which are not energy-saving, and the lack of a sustainable assessment framework to retrofit such buildings, it is deemed essential to analyse the shortcomings of the current assessment standards and frameworks and formulate a better alternative. Therefore, this paper aims to provide the rationale for proposing a sustainability assessment framework for retrofitting old multi-storey residential buildings in China. It first explains the concepts of sustainable development and housing, then combs the current Chinese government’s commitments to sustainable housing agenda. The unsustainable state of this housing type is then reviewed, followed by the issues and gaps in the existing sustainable building assessment standards in China and overseas to justify the necessity of developing a sustainability assessment framework for retrofitting multistorey residential buildings in China. This framework would assist the retrofit of old multistorey residential buildings in reducing energy consumption, improving efficiency and achieving sustainable development. It also contributes to the body of knowledge in sustainable building assessments and helps in the planning and design processes within the public and private sectors related to the construction industry. [ABSTRACT FROM AUTHOR]

This research is designed to develop a comprehensive assessment framework to study junior high school students' transformative competencies in three dimensions: creating new value, reconciling tensions and dilemmas, and taking responsibility. Researchers developed and verified the quality of the assessment framework among the 120 junior high school students purposively selected from four schools in the northeastern and central regions of Thailand as the test-takers. The project is segmented into four phases: creation of the construct map, item design, outcome space, and Wright map. The framework's efficacy is analyzed using the Rasch model and the Maximum Likelihood Estimation method. Validity is rigorously evaluated through empirical evidence derived from the Wright map and cognitive interviews. Reliability is assessed via the standard error of measurement, test information function, expected-a-posteriori reliability, and Infit Mean Square value. Key findings included the development of a five-level construct map and the formulation of scaled open-ended questions based on the test takers' responses. A cut-off point is determined by dividing the threshold level by the number of tests at corresponding levels, adhering to Wright map criteria for each dimension. Subsequent item analysis and modeling confirmed the internal structure's validity and reliability. This framework equips them with skills to navigate and effectively address complex real-world challenges, enhancing targeted educational strategies, promoting superior learning outcomes, and preparing students for advanced academic and professional environments. INSET: c. [ABSTRACT FROM AUTHOR]

Protected areas (PAs) are established to conserve wildlife habitats and biodiversity. To this end, the Chinese central government has initiated a pioneering environmental planning and management policy known as the Ecological Conservation Redline (ECR). While the ecological benefits of ECR policy have been extensively evaluated, spatially explicit assessment of the ECR remains understudied. Here, we propose an element-function-structure framework for assessing the concurrence of ECR areas and ecological conservation hotspots to further outline priority areas for conservation. Results show that 67% of existing PAs are protected by ECR areas, while that of ecological corridors is only 11%. Regional variation in the ECR representativeness can be leveraged by deliberately protecting tailored ecological conservation hotspots in specific locations and stepping stones in ecological corridors. This study highlights the substantial space for ecological management to achieve the goals of ECR policy, and discourses on the co-production of knowledge from researchers and policy makers. [ABSTRACT FROM AUTHOR]

Many studies on safety in construction projects have indicated that positive safety culture in the workplace environment would reduce accidents. The inherent project-based characteristic of construction organizations means knowledge and experience are generally lost when a project is completed. This transitory nature hinders an organization's attempt to develop and maintain a knowledge-based positive safety culture. Also, this can be overcome by continuous monitoring and reviewing of the knowledge-based safety culture required to enforce safety standards and regulations required for construction organizations. In order to achieve this, a quantitative assessment framework for knowledge-based safety culture is a prerequisite. Therefore, this study aims to develop a measurable quantitative framework based on the importance of factors pertaining to psychological, behavioral, organizational, and knowledge dimensions of knowledge-based safety culture. A survey questionnaire is employed to examine the importance of these factors. The survey findings are used to formulate a framework suitable for use in the construction industry. Furthermore, this framework is validated by considering case scenarios among safety-certified and non-certified construction organizations. The proposed analytical framework can be used for assessing the knowledge-based safety culture scores of construction organizations. [ABSTRACT FROM AUTHOR]

This paper explores Ghana's two-decade journey in developing a digital land information system (LIS), exemplified by Ghana Enterprise Land Information System (GELIS) and Enterprise Land Information System (ELIS). Despite advancements by Ghana's Lands Commission, manual processes persist and coexist with digital ones. Our study uses a qualitative approach to assess the effectiveness of the LIS implemented in Accra. This study found that Accra's LIS is highly aligned with clear institutional mandates, roles, and responsibilities, as well as the availability of laws and policies to support analogue-to-digital conversion. Furthermore, a robust approach to protecting the data, operating system, and software underpins the system. Subsequently, the integration of a digital LIS has enhanced service delivery and accountability. Nonetheless, Accra's LIS is still at the beginning of a comprehensive learning and development curve. Sustaining the LIS requires furtherance in the implementation plan, funding, law implementation, ICT strategy, divisional integration, work processes, data quality, and communication strategy. These findings will inform the next steps of improvement for Accra's LIS and guide its nationwide scaling, contributing to discussions on technology acceptance dynamics in predominantly analogue environments. [ABSTRACT FROM AUTHOR]

The rapid increase in the global population is contributing to the urgent challenges we face in ensuring the sustainability of our planet. This demographic shift, which gained momentum in the 1990s, is closely linked to a surge in natural disasters, both in terms of their frequency and severity. The quest for resources and improved quality of life, including the need for housing and essential services, has compounded these challenges. With the world's population projected to double by 2050, and approximately two-thirds of this population expected to reside in urban areas, we are facing a complex web of interconnected issues that will significantly magnify the impacts of climate change-induced disasters. It is imperative that we build resilient cities capable of withstanding and adapting to these changes. However, the growing complexity of urban services and the necessity for integrated management raise questions about the preparedness of these resilient cities to comprehend and address the multifaceted challenges posed by climate change. In response to these critical concerns, this study endeavors to address the intersection of resilience and climate change. We propose the development of a Smart Resilient City Assessment Framework, comprising two core components: resilience re-evaluation and smartness evaluation. Each component consists of eight essential steps. The culmination of these steps results in a semi-quantitative index that accurately reflects the city's position regarding resilience and smartness in the face of climate change-related disasters. To demonstrate the framework's practicality and suitability, we present results from a hypothetical scenario focusing on water supply management, a critical aspect of climate change adaptation. The framework equips city managers with the necessary tools to re-evaluate their cities' resilience, evaluate their capacity to address climate change-induced challenges, and make informed decisions on integrating resilience and smart solutions to pave the way for a more sustainable and climate-resilient future. [ABSTRACT FROM AUTHOR]

Plastic waste management is a complicated challenge that in recent years has gained attention as a global policy priority. In low- and middle-income countries (LMIC), waste management is heterogeneous and context-specific and many organizations provide needed waste management services, including entrepreneurs. Sustainable entrepreneurs are uniquely positioned to provide these services; however, they face challenges such as limited support system and lack of capacity. The goal of this paper is to understand critical characteristics of successful plastic waste management ventures in LMIC and operationalize those insights into a strategic tool. A wide variety of successful ventures from diverse LMIC contexts are systematically analyzed to identify which factors contribute to their business viability and ability to deliver services. The identified success factors were built into a tool, the Plastic Venture Builder (PVB), based on the multi-criteria analysis methodology. This is validated using empirical cases, tested on projects currently in development and discussed with experts in the field. The results show that political, economic, financial, technological, operational, social, team and legal factors contribute to success; however pathways to success are diverse. We identify a strong team as the most critical factor, whereas financial, political and social factors have the least impact. The PVB can be used by entrepreneurs who want to set up or improve plastic waste management ventures by identifying weak spots or avenues for improvement. The assessment framework can also be used by policy makers, development agencies and financing organizations who want to support or assess waste management initiatives by prioritizing their resources to match the identified critical factors. [ABSTRACT FROM AUTHOR]

Among the main obstacles affecting the competitiveness of Peruvian Small and Medium Enterprises (SMEs) are poor strategic planning and incipient use of management control systems that support the integration of sustainable practices for the growth of the organization. Not considering sustainability in the strategy and management control systems of Peruvian SMEs can jeopardize their stability and growth, as they are part of the supply chain of large companies that look for suppliers that comply with sustainability standards. Since manufacturing SMEs play a vital role in the economies and social welfare of countries, providing them with appropriate management tools to evaluate the sustainable performance of their activities is urgent to assure their survival. Thus, the aim of this study is to design a holistic sustainability assessment framework that enables Peruvian manufacturing SMEs to evaluate the full integration of sustainability into their business strategy and the creation of value for each stakeholder. Based on the gaps found in the literature review, a conceptual assessment framework was designed, then a multiple-case study was conducted in three Peruvian manufacturing SMEs in the plastic sector, and the data obtained were used to deploy the proposed conceptual assessment framework. [ABSTRACT FROM AUTHOR]

This paper aimed to propose an analytical framework for assessing the postearthquake traffic flow capacity of girder bridges based on the loss model of vertical load-carrying capacity. For this purpose, a loss model of the vertical load-carrying capacity of a reinforced concrete (RC) column associated with the residual drift ratio and the damage level (i.e., the modified Park–Ang index) was developed to determine the postearthquake vertical load-carrying capacity accurately and quantitatively. Subsequently, the probability seismic demand analysis (PSDA) was performed to obtain the probability distribution functions (PDFs) of engineering demand parameters (EDPs) (i.e., the residual drift and the damage indicator) and the PDF of postearthquake vertical load-carrying capacity was determined based on the developed loss model. Furthermore, the reliability analysis was utilized to calculate the postearthquake reliability index of a bridge by adjusting the mean values of the live load (which reflects the traffic flow capacity), and the postearthquake traffic flow capacity could then be quantitatively determined based on the live load ratio at a target reliability index. Finally, the proposed framework was implemented on a single-column bridge to demonstrate its efficiency. Compared to traditional qualitative and subjective postearthquake functionality assessment of the damaged bridge, the proposed analytical approach offered a mathematical model for the decision-making process. [ABSTRACT FROM AUTHOR]

Abstract Detecting digital face manipulation in images and video has attracted extensive attention due to the potential risk to public trust. To counteract the malicious usage of such techniques, deep learning-based deepfake detection methods have been employed and have exhibited remarkable performance. However, the performance of such detectors is often assessed on related benchmarks that hardly reflect real-world situations. For example, the impact of various image and video processing operations and typical workflow distortions on detection accuracy has not been systematically measured. In this paper, a more reliable assessment framework is proposed to evaluate the performance of learning-based deepfake detectors in more realistic settings. To the best of our acknowledgment, it is the first systematic assessment approach for deepfake detectors that not only reports the general performance under real-world conditions but also quantitatively measures their robustness toward different processing operations. To demonstrate the effectiveness and usage of the framework, extensive experiments and detailed analysis of four popular deepfake detection methods are further presented in this paper. In addition, a stochastic degradation-based data augmentation method driven by realistic processing operations is designed, which significantly improves the robustness of deepfake detectors.

This paper focuses on the evaluation of the operational effect of a pumped storage plant in a new power system. An evaluation index system is established by selecting key indicators from the four benefit dimensions of system economy, low carbon, flexibility, and reliability. The evaluation criteria are based on the values of indexes for pumped storage plants that have already been put into operation. Using this method, the operational effect of pumped storage plants with different installed capacities, regulation durations, and conversion efficiencies are comprehensively evaluated and analyzed. The calculation results show that the operation effect of a pumped storage plant with high regulation performance and high comprehensive conversion efficiency is better, indicating that the established index system and evaluation method can comprehensively and truly reflect the positive benefits brought by a pumped storage plant to a new power system. This study can provide a practical reference for the early planning and decision making of pumped storage in a new power system.

Detecting digital face manipulation in images and video has attracted extensive attention due to the potential risk to public trust. To counteract the malicious usage of such techniques, deep learning-based deepfake detection methods have been employed and have exhibited remarkable performance. However, the performance of such detectors is often assessed on related benchmarks that hardly reflect real-world situations. For example, the impact of various image and video processing operations and typical workflow distortions on detection accuracy has not been systematically measured. In this paper, a more reliable assessment framework is proposed to evaluate the performance of learning-based deepfake detectors in more realistic settings. To the best of our acknowledgment, it is the first systematic assessment approach for deepfake detectors that not only reports the general performance under real-world conditions but also quantitatively measures their robustness toward different processing operations. To demonstrate the effectiveness and usage of the framework, extensive experiments and detailed analysis of four popular deepfake detection methods are further presented in this paper. In addition, a stochastic degradation-based data augmentation method driven by realistic processing operations is designed, which significantly improves the robustness of deepfake detectors. [ABSTRACT FROM AUTHOR]

Green space resources, in the context of urbanisation, cannot meet the actual needs of residents well, and the study of the balance of green space resource allocation based on the relationship between supply and demand is an urgent problem to be solved. This study quantitatively evaluates the green space supply level from four dimensions by constructing a framework for assessment in the community life circle. It also evaluates the matching of green space supply and demand, resource distribution fairness, and distribution equilibrium under group differentiation through the supply–demand coupling matrix, the Gini coefficient, and the Kruskal–Wallis H non-parametric rank-sum test, respectively. This study shows that: (1) A significant spatial imbalance exists in green space resource allocation in community life circles in different dimensions. (2) The comprehensive green space supply level in the community life circle matched the total demand of residents to a low degree. (3) There was significant inequality in green space resource allocation within the community life circle (the Gini coefficient of each evaluation perspective was >0.4). Based on the study results, we were able to identify community life circles with spatial mismatches, different supply and demand, and other green space resource allocation problems, which is of great significance to urban green space research and planning practice under the 'green justice' framework. [ABSTRACT FROM AUTHOR]

With the latest developments in transportation technologies and services, the concept of MaaS has spawned its way, where consumers can purchase access to different modes and services owned and operated by several mobility service providers through a single integrated digital platform. Nonetheless, the MaaS ecosystem and benefits have not been fully understood yet, which varies case by case depending on the communities' behavioral responses. Qatar is known as one of the countries with a highly diverse population where many expatriate workers come from different cultures. This necessitates a comprehensive mobility arrangement given their various travel needs and diaries. To contribute to a comprehensive analysis of MaaS impact while taking into consideration societies' diversities, this paper aims to develop a framework to assist in evaluating and assessing MaaS design alternatives and their impact on different population segments. This study was conducted by utilizing existing literature findings about MaaS assessment supported by a stated preference (SP) survey from a Qatar case study. We found that there are a limited number of key performance indicators (KPIs) to comprehensively evaluate MaaS social impacts and mobility network efficiency. Therefore, as part of the assessment framework, additional KPIs were introduced for comprehensively evaluating MaaS's direct impact on transport networks and broader implications for social equity, economy, and human well-being. MaaS KPIs should consider reporting by age, monthly income, and ethnic socio-demographic factors. This can serve as a useful guide for diverse communities, particularly in Qatar. Furthermore, outputs from the assessment framework can be used as inputs to evaluate impacts on the MaaS provider's profit-making and business prospects. [ABSTRACT FROM AUTHOR]

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High-quality urban parks are considered an integral part of health resources as they can deliver diverse ecosystem services. However, the quality of parks is not always similar, resulting in different levels and values of the services provided. A systematic and complete assessment frame of urban park quality is limited. From the perspective of landscape architecture and design, this study aims to propose a comprehensive assessment framework of urban park quality based on six dimensions (planning and design, cultural services, complete and various facilities, landscape planting, landscape management, and landscape ecology), consisting of 27 indicators with different weights by using the objective and subjective weighting method. Taking the city of Chengdu, China as a case study, 100 urban parks are studied via field investigation and scored using methods that consist of a category count, existence score, field measurement, experts score, and photo review and recheck (13,589 images). The results reveal the spatial distribution and differences in park quality, including six quality dimensions and five districts, and the proportion of the existing quality elements in 100 parks. Based on the results, the spatial areas (Barren area, Low-quality area, Medium-quality area, and High-quality area) are identified, which leads to the establishment of the improvement strategies of spatial equity regarding multi-quality parks. The results can help improve the assessment index system of urban parks, guide the landscape planning and design of urban parks for sustainability, as well as provide a reference for future environmental and social equity development, so as to provide insight and reference for decision-makers and designers considering the landscape planning and design of parks. [ABSTRACT FROM AUTHOR]

The assessment of sport-specific technical skills is very important and studies on assessment frameworks in sports science are still limited. The Gyaku-zuki is one of the most frequently performed effective punches in Karate, and a set of as¬sessments of its technical skills currently does not exist. Therefore, the establishment of a scoring framework is necessary to provide a standard for measuring athletes' technical skills. This study aims to develop a framework for assessing Gyaku-zuki technique skills that have a high level of validity. This development research was carried out by carrying out three stages of implementation; analysis of existing journals and documents to determine Gyaku-zuki's technical skills assessment, expert judges' assessment of the development of Gyaku-zuki's technical skills assessment using the Delphi method, and analysis of the results of expert judges' assessment by applying Aiken's V to test content validity. This study involved nine expert judges from both academics and practitioners and data analysis showed the relevance of this technical skills assessment material had a coefficient of V 0.96; the systematics of the material relevance assessment procedure has a coefficient value of V 0.93; Gyaku-zuki target direction has a coefficient value of V 0.93; the Gyaku-zuki test score has a coefficient value of V 0.81; distance has a coefficient value of V 0.89; clarity of implementation has a coefficient value of V 0.89. The study concluded that the construction of the Gyaku-zuki technical skill assessment has high content validity with a value of V > 0.8, so that the established framework can be used as a reference in conducting the Gyaku-zuki technical skills assessment. [ABSTRACT FROM AUTHOR]

Small and medium enterprises are the key engines for the economic development of nations. Their role in sustained growth even during the pandemic era is established. Numerous initiatives thus were planned by the government for their growth, sustenance and expansion. Digitalisation is one such initiative as well as a solution in the 'new normal'. Despite its availability, access and government support, there is considerable digital divide in micro and small businesses. Experience and research confirms that the lack of digital skills and IT literacy is an important reason for this digital divide in India. Studies also reveal a lack of assessment framework to measure the basic digital skills/competencies that cater to micro small and medium enterprises (MSMEs). This paper is an attempt to fill this gap by building a conceptual framework using evidence-centred assessment design (ECD) model that can comprehensively assess the Digital literacy skills/ levels among the MSMEs. This framework will benefit the stakeholders in understanding the current level of digital literacy, skill gap and digital adaptability among the MSMEs and provide a basis for planning digital literacy initiatives and skill development programs. The framework facilitates scale development for empirical testing thus adding to the theoretical rigor. In addition, the paper will open up avenues for future research through scale development to test the measurement of measure digital literacy in different contexts. [ABSTRACT FROM AUTHOR]

Food systems rely on natural resources for production causing their depletion. Sustainability assessment can encourage farms and agri-food companies to improve sustainability performances. Sustainability assessment frameworks and tools differ in their purposes, scope, methods of application, and required time for execution; however, most of them do not fit with value chains, or they do not cover all sustainability dimensions. Our objective is to propose a holistic framework to assess sustainability at agri-food value chains level. The proposed framework combines the Sustainability Assessment of Food and Agriculture systems (SAFA) (El Hage, 2012) [1] and The Agri-food Evaluation Framework (TEEB) [2]. It incorporates the concepts of Socio-Ecological Systems, Assemblage, and Social Practices. It integrates system dynamics by emphasising human and natural capital stocks and their users. We explain in detail the methodological steps we followed to construct and to apply this new framework to two case studies in Italy and France. The new framework was applied to real-life case studies and has shown its effectiveness and demonstrates its potential for widespread use in similar scenarios.

This article aims to identify the variables that determine wellness tourism destination competitiveness using a case study in Thailand. This study outlines a suggested competitiveness framework for wellness tourism destinations based on the viewpoint of wellness tourism clusters. The study’s model illustrates the different categories and components and their relationship to competitiveness. Thirteen in-depth qualitative interviews were conducted with leading experts in wellness tourism. Thematic and content analysis was used to examine the interview data using the Nvivo 12 programme. The study identified seven emerging themes that encompass factors that affect a wellness tourism destination’s competitiveness. These factors include the destination’s environment, the area’s policy and strategy to facilitate travelling and wellness tourism, infrastructure and capability to support wellness tourism, human-made resources and culture of wellness tourism, strategy and structure for healthcare services, potential for developing innovation and cooperation to build collaborative strengths and proactive marketing. The participants’ descriptions show the existence of a comprehensive framework for assessing the competitiveness of wellness tourism destinations in the Thai wellness tourism market. The concept elucidates the dynamic complexity of wellness tourism destination competition, which is believed to guarantee success for both individual stakeholders and society.

The increasing pressures of urbanization, climate change, and unsustainable agricultural practices necessitate innovative approaches to land management that can enhance ecosystem services while promoting agricultural productivity. This study presents a comprehensive assessment framework focused on Nature-based Solutions (NbS) for consolidating agricultural land and facilitating ecological restoration initiatives. By integrating socio-economic and environmental indicators, the framework aims to guide decisionmaking processes, promote stakeholder engagement, and achieve sustainable land use outcomes. Through a combination of case studies and empirical analysis, the research highlights the effectiveness of NbS in addressing the dual challenges of agricultural efficiency and ecological integrity. The findings underscore the need for collaborative governance and adaptive management strategies to ensure the long-term success of such initiatives. [ABSTRACT FROM AUTHOR]

The concept of smart cities has gained significant attention due to the potential of smart cities to optimize city services and enhance citizens’ quality of life. Cities are investing in digital transformation to become smarter, sustainable, and resilient. Therefore, there is a need to build a comprehensive and holistic model to assess smart city initiatives. This paper aims to develop a model that can capture the maturity of smart city adoption across various functional domains. These domains are divided into focus areas that capture different dimensions of a smart city and grouped into seven groups: ICT, economy, environment, social, resources, services, and governance. Each focus area has a set of maturity levels that describe the capabilities and outcomes of the city at different stages of development. To develop the model, the focus areas were extracted from the literature based on 16 models that have been reviewed. Assessing these models helped in identifying gaps and building the foundation of the model. Using the information extracted from the literature, a focus area model was designed and developed. The model development included seven main phases, which were: scope, design, populate, test, deploy, and maintain. The current paper validates the proposed model using the Delphi method, which involves the participation of a panel of sixty field experts. The experts evaluated the model’s correctness and completeness based on their experience and provided feedback. This feedback was used to revise and finalize the model. The smart city maturity model provides a framework for benchmarking, planning, and improving smart city initiatives. Cities can use the model to measure their performance and evaluate their weaknesses and strengths. The model is also the most comprehensive in terms of the scope of the focus areas included, and the results show that the model has a high level of accuracy and consistency and can effectively assess smart city adoption.

Coal chemical industry (CCI) sites are characterized by complex environmental media, combined heavy metal pollution, and diverse exposure routes. However, existing human health risk assessment (HHRA) methods have multiple drawbacks, such as their small scope of application, limited assessment factors, and insufficient case applications. After 128 soil samples were collected, the contents of Be, V, Ni, Cu, Zn, As, Cd and Hg in the soils were analyzed based on general risk assessment guideline of China. Then, risk levels were calculated based on oral ingestion, skin contact and inhalation as the main exposure routes to compare and screen priority heavy metals. Furthermore, control values were identified through a contribution rate calculation model when CR > 10−6 or HQ > 1. As reference values, risk thresholds were proposed for heavy metals, and then a soil HHRA framework for the CCI site was constructed. Under the three exposure routes, the total CR was As > 10−6, and the total HQ was 1 > As > Cd; the HHRs related to As and V via the oral ingestion, dermal contact, and inhalation pathways were 76.67%, 13.13%, and 10.18% and 1.66%, 0, and 98.34%, respectively. The risk control value of As was 1.59 mg/kg and that of V was 25.1 mg/kg. Based on these results, the threshold values for priority heavy metals should be based on comprehensive considerations of the elemental background of a specific area, the contaminant criteria in different areas, the regional industrial development plan, and the most important control criterion, as well as the control value. Through the development of an HHRA framework and case verification, the authors of this article aim to guide CCI managers in screening priority heavy metals, formulating protection measures, developing improved operational procedures and improving the HHRA system for polluted CCI sites. [ABSTRACT FROM AUTHOR]

Copyright of Meta: Avaliação is the property of Revista Meta: Avaliacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Local climate change mitigation plans can be essential in enabling sustainability transitions at the municipality level. However, existing frameworks for assessing the quality of climate plans inadequately address their potential to foster sustainability transitions. We develop an assessment framework consisting of indicators and associated questions by integrating elements of the transition management framework with essential quality dimensions of climate plans and planning processes identified through a literature review. We illustrate and validate the assessment framework by applying it to the climate plans of three medium-sized cities in Switzerland. Our findings demonstrate that the local climate change mitigation plans performed well regarding the tactical and operational indicators but were less optimal concerning strategic and reflexive indicators. Nevertheless, the transition management framework provided a useful framework contributing to a comprehensive and systemic assessment highlighting the importance of stakeholder involvement, inter-sectoral coordination, and monitoring and evaluation as a means for social learning. [ABSTRACT FROM AUTHOR]

The Dutch government implemented the apps 'CoronaMelder' and 'CoronaCheck' to prevent the transmission of SARS-CoV-2. They faced many questions on how to responsibly implement such technologies. Here, we aim to develop an assessment framework to support the Dutch national government with the responsible design and implementation of technologies for the prevention of future infectious diseases. Three-stage web-based Delphi process. The assessment framework was developed through two research phases. During the Initial Design phase, a conceptual version of the assessment framework was developed through a scoping review and semistructured interviews with a scientific board. The Consensus phase involved a three-stage web-based Delphi process with an expert community. The final assessment framework consists of five development phases, 10 values, and a total of 152 questions. Technology assessment frameworks help policymakers to make informed decisions and contribute to the responsible implementation of technologies in society. The framework is now available for the Dutch government and other stakeholders to use in future pandemics. We discuss the possibilities of using the framework transnationally. [ABSTRACT FROM AUTHOR]

The outstanding growth in digital technologies has raised higher education teachers' attention towards developing digital competences for effectively fulfilling students' learning requirements and keeping up with the rapidly evolving global education system. Nowadays, higher education teachers can find a plethora of online courses provided by educational organizations, universities, and businesses for reskilling and upskilling. The objective of this paper is to provide results from the assessment of existing massive open online courses regarding their potential to cover a large range of digital competences that higher education teachers should possess. A total of one hundred and sixty-two (162) online courses from three prominent international digital platforms, offering massive open online courses, were subjected to evaluation using a model incorporating six categories of attributes aligned with pertinent digital competences. The results indicate that the majority of the existing online courses lack sufficient coverage of key digital competences required by higher education teachers. Notably, these inadequately addressed competences regard evaluating students' performance in the digital environment and ensuring positive online student experiences through collaborative engagement and self-reflection. The findings of this study offer valuable insights not only to higher education teachers, but also to online course developers and education policy-makers. The identified gaps in digital competences underscore the pressing need for substantial improvements in existing online courses or the development of new courses to effectively bridge these competence gaps. By addressing these shortcomings, higher education institutions can better equip their teachers to navigate the digital realm and elevate the overall quality of education in the digital era. [ABSTRACT FROM AUTHOR]