Management Unit Research Articles

ANÁLISE ESPACIAL E TEMPORAL DE EVENTOS DE SECAS NA REGIÃO HIDROGRÁFICA ALTO RIO PARANÁ DE 1990 A 2020

The Paraná River Hydrographic Region is of great socioeconomic relevance for Brazil. Therefore, due to the history of droughts in the region, the aims of the current study were to assess rainfall spatial and temporal variability, as well as to analyze drought features based on using the Normalized Percentage Index (NPI) to contribute to water management processes in Upper Paraná River (UPR). The study area encompasses 14 Planning and Management Units, distributed in Goiás, Mato Grosso do Sul, Minas Gerais and São Paulo states. Climate data were obtained from the National Hydrometeorological Network database. A geostatistical analysis of rainfall was carried out, based on the annual series of 408 stations, and subsequently the calculation of NPI for classifying the droughts severity. All periods analyzed (1990-2020) showed spatial dependence (moderate to high), allowing the elaboration of droughts maps. The dry and rainy periods and areas did not indicate direct influence of El Niño-Southern Oscillation (ENSO). Mato Grosso do Sul and São Paulo units were the main contributors to the identified droughts. The data showed that 2010-2020 was the driest decade of the period, with a greater contribution from the 2019/2020 period, where droughts exceeded 60% of the area for two consecutive years, an event never identified in the last 3 decades. The NPI curves referring to “initial drought” and “mild” allowed verifying years of water crisis when their summed percentages reached at least 50% of the region. The methodology used is versatile, allowing its use in any watershed. Keywords: Rains. Water management. NPI. Kriging.

Organizational health literacy strength and learning opportunities in Italian hospitals

Abstract Background Organizational Health Literacy (OHL) implies responsiveness and friendliness of healthcare organizations. In the context of the WHO Action Network M-POHL, Italy evaluated OHL in a hospital as a pilot. Methods The international self-assessment tool OHL-Hos explores 8 standards using 141 items. It was firstly translated and culturally adapted to Italy, and then tested to assess OHL in the public general hospital of Pistoia (Central Italy). A physician, 6 staff members of the healthcare management unit, and 3 medical residents in public health from the Florence University were involved in the pilot. The Pistoia hospital has 1,300 employees (44% nurses, 24% physicians) to face 18,000 hospitalizations per year. Results Completing the questionnaire took more than 5 hours. A comprehensive agreement was reached, even though different approaches aiming at improving HL in healthcare and non-healthcare staff emerged. Scores resulted acceptable/good for standard 5 (communication with patients) and 7 (promoting staff HL with regard to occupational risks and personal lifestyles), low for standards 1 (implementing OHL overall the hospital), 2 (involving stakeholders in developing documents, materials, services), 3 (staff training for personal and organizational HL) and 8 (contributing to local population personal HL improvement), which would apply more peculiar for other settings than hospitals. Conclusions The participation of the hospital working group in the assessment using the OHL-Hos raised interest toward this matter. It results time consuming for its excessive length, and some standards do not fit to the Italian hospital context, resulting more useful to assess the territorial organization. Reduction of the number of items and revision/reformulation of some of them are suggested. Nonetheless, the tool proved to be useful in indicating the most critical areas needing ad hoc interventions, such as training all the hospital staff.

Mobile Stroke Unit Management in Patients With Acute Ischemic Stroke Eligible for Intravenous Thrombolysis

Clinical trials have suggested that prehospital management in a mobile stroke unit (MSU) improves functional outcomes in patients with acute ischemic stroke who are potentially eligible for intravenous thrombolysis, but there is a paucity of real-world evidence from routine clinical practice on this topic. To determine the association between prehospital management in an MSU vs standard emergency medical services (EMS) management and the level of global disability at hospital discharge. This was a retrospective, observational, cohort study that included consecutive patients with a final diagnosis of ischemic stroke who received either prehospital management in an MSU or standard EMS management between August 1, 2018, and January 31, 2023. Follow-up ended at hospital discharge. The primary analytic cohort included those who were potentially eligible for IV thrombolysis. A separate, overlapping cohort including all patients regardless of diagnosis was also analyzed. Patient data were obtained from the American Heart Association's Get With The Guidelines-Stroke (GWTG-Stroke) Program, a nationwide, multicenter quality assurance registry. This analysis was completed in May 2024. Prehospital management in an MSU (vs standard EMS management). The primary efficacy end point was the utility-weighted modified Rankin Scale (UW-mRS) score. The secondary efficacy end point was independent ambulation status. The coprimary safety end points were symptomatic intracranial hemorrhage (sICH) and in-hospital mortality. Of 19 433 patients (median [IQR] age, 73 [62-83] years; 9867 female [50.8%]) treated at 106 hospitals, 1237 (6.4%) received prehospital management in an MSU. Prehospital management in an MSU was associated with a better score on the UW-mRS at discharge (adjusted mean difference, 0.03; 95% CI, 0.01-0.05) and a higher likelihood of independent ambulation at discharge (53.3% [468 of 878 patients] vs 48.3% [5868 of 12 148 patients]; adjusted risk ratio [aRR], 1.08; 95% CI, 1.03-1.13). There was no statistically significant difference in sICH (5.2% [57 of 1094] vs 4.2% [545 of 13 014]; aRR, 1.30; 95% CI, 0.94-1.75]) or in-hospital mortality (5.7% [70 of 1237] vs 6.2% [1121 of 18 196]; aRR, 1.03; 95% CI, 0.78-1.27) between the 2 groups. Among patients with acute ischemic stroke potentially eligible for intravenous thrombolysis, prehospital management in an MSU compared with standard EMS management was associated with a significantly lower level of global disability at hospital discharge. These findings support policy efforts to expand access to prehospital MSU management.

Cardiac rehabilitation ambassadors - a new model to enhance patient participation

Abstract Introduction Participation in outpatient Cardiac Rehabilitation (CR) is considered an integral part of secondary treatment of heart disease. Despite being considered standard care, participation remains low internationally. Encouraging patients to enrol in CR during their hospital stay is linked to higher participation. [1] This study was conducted at a hospital that provides acute cardiac and rehabilitation services in Australia. Purpose As a provider of cardiac care, we identified that increasing nurses’ knowledge of the of CR would improve their capacity to promote CR during patient’s hospital stay. Methods Utilising a quality improvement methodology, the Cardiac Ambassador Initiative was developed with key stakeholders working on cardiac units in 2022. The program consisted of an immersion experience for cardiac nurses to shadow CR nurses working in a specialist rehabilitation centre providing best practice CR for patients with a variety of cardiac conditions. To evaluate the impact of the program, cross-sectional surveys and individual interviews were conducted with participants and Nurse-Unit-Managers (NUMs). Key outcomes included: ambassadors’ knowledge and confidence to promote CR participation to their patients on the wards and NUM's perceptions of the impact of the program. Results The program was run over two years. The NUMs and CR-coordinator selected a total of 13 nurses to participate. In 2022 4 participants attended a total of 5 days each. Following evaluation, the program was modified to 3 days for participants in 2023, which enabled 9 participants to attend. All participants described not fully understanding the nature of CR and its impact on patients until they attended a program. Prior to attendance, 100% of participants considered it was important or somewhat important for patients to attend CR. Following attendance 100% of participants consider it essential or important for patients to attend. They also reported feeling more confident to discuss CR with patients and colleagues and encourage patient participation following the immersion experience. Pre-attendance 100% of participants felt either not at all confident or somewhat confident to discuss CR with their patients and this improved post program with 100% feeling very confident. 100% of participants also indicated that their confidence and skill in discussing CR with patients greatly improved and recommended that others should participate in the CR Ambassador program. Nurse Unit Managers reported that the CR Ambassadors were a valuable resource for both staff and patients on the cardiac unit and that they had identified a need to review the accessibility of CR information and referral documentation available on their wards. Conclusion The immersion experience represents a feasible and sustainable approach to establishing CR ambassadors on acute cardiac wards with the skills needed to promote CR participation to colleagues and patients.

An individual‐based model trained on multiple data sources estimates population connectivity and facilitates aggregation of harvest management units

Abstract Management boundaries are often delimited by political and social factors, whereas animal movements are affected by ecological and geophysical constraints. Thus, understanding connectivity among distinct management units is of considerable importance, particularly for harvested species, where quotas set in ignorance of connectivity may fail to meet management goals. We constructed an individual‐based model (IBM) to better understand wild turkey movements at large scales, benefiting from multiple data sources that are often available for harvested species. We built an IBM from spring seasonal movements of wild turkey, using data from ringed, radio‐, and GPS‐marked turkeys captured in Maine, USA. Our IBM accommodated variation in individual turkey response to landscape connectivity metrics and identified emergent migratory connectivity dynamics among harvest management regions. We calculated a low degree of connectivity among wildlife management districts (WMD) which, in combination with the substantial number of boundary crossings observed, indicated a more diffuse distribution of turkeys among WMDs. Synthesis and applications: Estimates of turkeys moving between districts provided a clear delineation of where immigration was strongest, identifying which WMDs should be managed as singular population units. This approach has widespread utility for any species or system where harvest management decisions are made at finer spatial scales than the movement dynamics affecting population processes.

Great ape surveys and the implications of long-term monitoring in the Djéké Triangle, Republic of Congo.

Existing protected areas are anchors for conservation. Safeguarding flora and fauna within their peripheral areas is essential to maintaining their integrity and to potential increases to the area under effective conservation. With the decline in tropical forests, initiatives to increase the area of undisturbed forests under strict protection, particularly those neighboring protected areas, is of critical importance. Applied research has informed such land-management decisions for areas surrounding the Nouabalé-Ndoki National Park (NNNP) in Republic of Congo since the park's inception three decades ago. Here, we present results of the first systematic line transect survey of great ape nests conducted in the Djéké Triangle, a 100 km2 unlogged continuous forest in the Kabo Forestry Management Unit adjacent to the NNNP. Distance sampling methods applied along 26 line transects on two different occasions (2016 and 2018, with total effort of 69.4km) provided density estimates of 0.75 (95% confidence interval (CI) 0.52-1.09) and 0.61 (95% CI 0.40-0.92) chimpanzees/km2 and 2.15 (95% CI 1.36-3.40) and 1.19 (95% CI 0.78-1.82) gorillas/km2 for each of the two surveys, respectively. Estimated ape densities were compared to others across the landscape. The findings provide a unique baseline in an area that supports ongoing behavioral research and future gorilla tourism opportunities in the Djéké Triangle. More importantly, results provided empirical evidence of the environmental value and strategic conservation importance supporting inclusion of the Djéké Triangle into the NNNP in 2023. These long-term monitoring results inform best-practice standards and ape tourism certification.

Model Pengelolaan Ekonomi Pesantren dalam Mewujudkan Kemandirian Ekonomi di Pondok Pesantren Tanwirul Islam Sampang

Pesantren economics is an economic concept where pesantren manages and develops businesses with various innovations that can specifically benefit Islamic boarding schools and benefit the community in general in realizing economic independence. The purpose of this study is to find out the economic management model of the pesantren applied by the Tanwirul Islam Sampang Islamic boarding school and to find out the challenges faced by the Tanwirul Islam Sampang Islamic boarding school in managing the pesantren economy to realize economic independence. This type of research uses a qualitative descriptive approach, with data collection techniques in the form of interviews, observations, and documentation related to economic management at the Tanwirul Islam Sampang Islamic Boarding School. The results of the study show that the Tanwirul Islam Islamic boarding school implements the pesantren economic management model with an alumni-based economic development model, by utilizing the potential of alumni for the management of the pesantren business unit and implementing an entrepreneurship curriculum at the formal education level of students and involving external parties such as the surrounding community.

Impact of Indonesia's Forest Management Units on the reduction of forest loss and forest fires in Sulawesi

The establishment of Forest Management Units (Kesatuan Pengelolaan Hutan/ KPH) represents one of Indonesia's most significant forest governance reforms, covering the 120 million hectares of designated Forest Areas. Sharing features with the Landscape Approach, KPHs are expected to reduce deforestation and forest degradation through improved forest planning, oversight, open access avoidance, and fire prevention and response. This paper assesses the impact of KPHs on the reduction of forest loss, including forest loss due to fire, and the factors that influence this impact (e.g. KPH's primary objective, deforestation risk). We use remotely sensed data to estimate difference-in-differences models accounting for differences in baseline characteristics and multiple time periods. Our case study, Sulawesi Island, is primarily shaped by smallholder farmer land use, where KPHs can exert significant influence. We do not find evidence of an overall effect of KPHs on deforestation. However, we observe intriguing heterogeneous effects depending on the year, including significantly less deforestation in already-established KPHs during the El Niño years of 2015–16, and a notable impact on the reduction of forest loss due to fire in some early-established KPHs. These findings warrant further investigation.

Determinants of Financial Viability of Forest Concession in Brazilian Amazon

This study aimed to assess the financial viability of forest concessions in the state of Pará, Brazil. Two Forest Management Units (FMUs) were analyzed: FMU-2, located in Saracá-Taquera National Forest, and FMU-3, located in Caxiuanã National Forest. Financial indicators were evaluated under different timber productivity scenarios (20 m3/ha and 25.8 m3/ha). At a logging intensity of 20 m3/ha, FMU-2 was not financially viable. However, both FMUs were financially viable at 25.8 m3/ha. Sensitivity analysis demonstrated that FMU-2 requires a logging intensity of over 22 m3/ha and a sawmill yield efficiency of at least 45%. The ideal cost for sawn wood would be USD 226.53/m3, with royalties of USD 16.00/m3. FMU-3 consistently demonstrated positive financial results, despite fluctuations in production costs. The financial viability of investing in forest concessions in state of Pará depends largely on forest productivity, sawmill yield, royalties, and sawn wood costs.

‘I’d Give My Right Arm to Be Ambidextrous’: Exploration Unit Managers Facing Competing Demands for Differentiation and Integration

This paper examines how managers of internal exploration units – also labeled as innovation labs – address the competing demands of differentiation and integration over time, and the implications for their unit’s ability to execute its intended exploration strategy. Based on a longitudinal study of four exploration units implemented by established firms, we find that their managers face two types of undocumented paradoxical tensions: one related to the evolution of the mandated charter and the other related to the implementation of the performance management system. In response, we show that exploration unit managers adopt four balancing patterns to face these paradoxical tensions: decoupling, conforming, promoting, and synchronizing. These patterns consist of specific combinations of differentiating and/or integrating practices. Drawing on paradox research, we show how each pattern facilitates or impedes the pursuit of the unit’s intended exploration strategy. Our research contributes to the development of a more integrative and systemic understanding of the locus of structural ambidexterity and how it is pursued in practice, and to current debates about the different types of responses adopted when faced with paradoxes. Finally, we provide managerial insights into the management of exploration units and innovation labs within established firms.

Serious Game Development for Public Health: Participatory Design Approach to COVID-19 Quarantine Policy Education.

Public health education plays a crucial role in effectively addressing infectious diseases such as COVID-19. However, existing educational materials often provide only foundational information, and traditional group education faces challenges due to social distancing policies. Addressing these gaps, our study introduces a serious game called "Flattening the Curve." This interactive experience immerses learners in the role of quarantine policy managers, offering unique insights into the effects and challenges of social distancing policies. The development of the game adhered to the SERES framework, ensuring a scientifically designed foundation. To achieve its learning objectives, the game incorporated learning and game mechanics including an agent-based infection model, a social distancing policy model, and an economic model, which were developed based on previous literature. After defining a broad concept of scientific and design foundations, we used a participatory design process. This study included 16 undergraduates and took place over one semester. Participants played the game, gave feedback, and answered surveys. The game was improved based on participants' feedback throughout the process. Participants' feedback was analyzed based on the Design, Play, and Experience framework. Surveys were conducted before and after the activity and analyzed to assess participants' evaluation of and satisfaction with the game. The game successfully achieved its learning objectives, encompassing a comprehensive understanding of infectious disease characteristics; the disease transmission process; the necessity and efficacy of quarantine policies and their delicate balance with economic factors; and the concept of flattening the curve. To achieve this, the game includes the following: (1) an agent-based infection model based on the modified Susceptible-Exposed-Infectious-Hospitalized-Recovered (SEIHR) model with five infectious disease scenarios; (2) a quarantine policy model with social distancing, travel control, and intensive care unit management; and (3) an economic model that allows users to consider the impact of quarantine policies on a community's economy. In response to participatory design feedback, the game underwent meticulous modifications, including refining game systems, parameters, design elements, the user interface, and interactions. Key feedback included requests for more scenarios and engaging yet simple game elements, as well as suggestions for improving the scoring system and design features. Notably, concerns about the fairness of the outcome evaluation system (star rating system), which could incentivize prioritizing economic activity over minimizing casualties, were raised and addressed by replacing the star rating system with a progress-based vaccine development system. Quantitative evaluation results reflect participants' positive assessments of the game through the learner-centric approach. The serious game "Flattening the Curve," developed through a participatory design approach, emerges as a valuable tool for public health education, particularly concerning social distancing policies. The game and its source code are openly accessible online, enabling widespread use for research and educational purposes.

Introducing a Cutting-Edge Dataset: Revealing Key Factors in Student Academic Outcomes and Learning Processes

This paper presents an educational dataset that consolidates various aspects of educational science. The purpose of this study is to illuminate the factors that impact students’ learning experiences before and during their time at university. This dataset was designed to support research in educational science, including the application of machine learning and deep learning models to predict student outcomes. The primary objective is to improve educational methodologies, empower students with informed decision-making, and enhance overall learning effectiveness. The dataset comprises 992 samples across 89 fields and was collected through direct methods like questionnaires and indirect methods involving training management units. These samples are categorized into Personalized factors, Factors affecting learning outcomes, and Learning outcomes, encompassing both general education performance and university module achievements. Following collection, the dataset was subjected to thorough processing, cleaning, and statistical analysis, using techniques such as Pearson correlation analysis, analysis of variance, Std. Error, Std. Deviation, and tests of homogeneity of variance.

Genetic Identification of Endemic Fish Nomorhamphus liemi Vogt, 1978 from Sigi, Central Sulawesi, Indonesia

Sulawesi Island is geographically included in the Wallacea region, a transitional area between the Oriental and Australian zones, which makes Sulawesi’s fresh waters have a high level of fish species diversity. Some fish species found in Sulawesi freshwater are endemic. Research on Sulawesi endemic fishes in rivers is not as much as research on endemic fishes in lakes. Nomorhamphus liemi or locally known as angculung is one of Sulawesi’s endemic fishes. This species belongs to the sub-family Zenarchopterinae. The majority of species from the Zenarchopterinae sub-family are sexually dimorphic. This study aimed to molecularly identify angculung fish species using COI markers in the region. A total of nine angculung fish were collected and preserved using 96% alcohol. In the laboratory, tissue taken from the back of the dorsal fin was isolated and extracted, then amplified by PCR before sequencing. Sequencing results were validated on BLASTn, showing that nine samples belonged to Nomorhamphus liemi with 98-99% sequence similarity. The nucleotide base sequences were then analyzed using MEGA 7.0 software. The genetic distance of mackerel in these waters showed a close relationship. Phylogeny tree results showed population mixing so that mackerel in these waters can be managed in one management unit, especially in Sulawesi.

Delimitation of Differentiated Management Units (DMUs) based on productivity maps, slope maps and vegetation indices

According to several projections, the planet's demographic density will continue to increase in the coming decades, a fact that makes it necessary to increase food production to meet population demand. However, there are factors that can make it difficult to achieve production goals, such as the high cost of inputs. Therefore, aiming to increase productivity and reduce costs through optimizing the use of resources and the area available for production, it is necessary to implement alternatives to traditional production control methods. In this aspect, precision agriculture stands out. For precision agriculture to be applied to crops, it is first necessary to observe the spatial and temporal variability of the area, through georeferenced data on the attributes that involve the production system. The correlation of these attributes can indicate sub-regions within the production areas that can receive homogeneous treatment; these fractions of the area can also be called Differentiated Management Units (DMUs). Therefore, the objective of this study was to evaluate the viability of DMU delimitations using data on productivity, slope and vegetation indices, referring to the 2020 harvest for corn cultivation. To this end, geoprocessing of the data obtained using the QGIS software was carried out, so that 3 DMUs were generated for the area evaluated in the study. Thus, the DMUs were compared with the 2021 corn harvest. The results show that the DMUs, produced with data from the 2020 corn harvest, delimited regions with different productivity data in the 2021 harvest, indicating that the possibility of obtaining better parameters in production if differentiated management were carried out in the field, and such planning can be carried out based on the assessments that DMUs allow to be carried out.

Impact of Supply Chain Agility and Collaboration on Supply Chain Performance: The Moderating Role of Artificial Intelligence

Supply chain resilience is not a novel concept in the supply chain industry; however, its significance importance is increasing, especially in the face of global disruptive events like natural and man-made disasters. Agility and collaboration are critical supply chain resilience elements for enhancing supply chain performance. However, the influence of artificial intelligence (AI) on the impact of agility and collaboration on performance remains unexplored. Therefore, the major objective of this study was to examine the impact of supply chain agility and collaboration on supply chain performance within the healthcare sector in Qatar. In the same vein, it examined the moderating role of AI in these relationships. The study utilized 564 responses from supply chain and clinical unit managers in Qatar and was analysed using the partial least squares (PLS) path modelling technique. The findings of the study indicate a significant positive relationship between supply chain agility, collaboration, and performance. Furthermore, these relationships are found to be positively moderated by AI. This study supports the research paradigm and provides evidence regarding supply chain agility and collaboration and their impact on supply chain performance. More importantly, this study is among the first to provide empirical evidence on the moderating role of AI in enhancing these relationships.

Model predictive control with self-learning capability for automated demand response in buildings

This paper presents an optimal management strategy, called Building Optimizer, based on a Model Predictive Control (MPC) approach with self-learning capabilities for buildings. The proposed MPC is a key enabler of cooperative demand response strategies at community level, ensuring the allocation of an optimal demand profile at each participating member of the community according to an optimal consumption reference defined by a complementary agent at community level. In this way, the proposed solution can contribute to provide demand response services exploiting the unlocked residential flexibility. The MPC calculates the optimal setpoints of the HVAC system’s terminal units, considering the expected usage of the buildings and the outdoor conditions, and exploiting the building’s thermal inertia. The models embedded in the MPC are grey-box models representing a thermal zone of the building. An adaptive MPC is proposed to mitigate the high uncertainty present in building management due to the time-variant characteristics of the building and the uncertain internal heat gains due to occupancy and other disturbances. For that, the reduced models incorporate self-learning capabilities implemented as Moving Horizon Estimators that perform a continuous calibration based on real-time measurements. This solution allows full automation for model calibration and management of the terminal units. This paper presents a case study to assess the thermal comfort assurance and power flexibility provision potential of the proposed solution. First, the Building Optimizer is compared to a regular benchmark consisting of an on–off controller, evaluating the performance of each controller for indoor temperature tracking. For the assessment of the flexibility provision, a baseline MPC with fixed model parameters obtained by an offline calibration is used for comparison to the Building Optimizer with self-learning capabilities. Different flexibility scenarios are simulated, considering different restrictions regarding thermal comfort and various flexibility request signals. Notably, the Building Optimizer outperforms the baseline MPC in all scenarios, particularly guaranteeing thermal comfort. Incorporating self-learning capabilities enhances controller performance by mitigating the effect of uncertainty, allowing the Building Optimizer to shift up to 13.08% of peak periods into valley periods, and tracking a flexibility request scenario of 10% with no discomfort.

Reference genome for the endangered, genetically subdivided, northern tidewater goby, Eucyclogobius newberryi.

The federally endangered sister species, Eucyclogobius newberryi (northern tidewater goby) and E. kristinae (southern tidewater goby) comprise the California endemic genus Eucyclogobius, which historically occurred in all coastal California counties. Isolated lagoons that only intermittently connect to the sea are their primary habitat. Reproduction occurs during lagoon closure, minimizing marine dispersal and generating the most genetically subdivided vertebrate genus on the California coast. We present a new genome assembly for E. newberryi using HiFi long reads and Hi-C chromatin-proximity sequencing. The 980Mb E. newberryi reference genome has an N50 of 34Mb with 22 well-described scaffolds comprising 88% of the genome and a complete BUSCO score of 96.7%. This genome will facilitate studies addressing selection, drift, and metapopulation genetics in subdivided populations, as well as the persistence of the critically endangered E. kristinae, where reintroduction will be an essential element of conservation actions for recovery. It also provides tools critical to the recovery of the genetically distinct management units in the northern tidewater goby, as well as broader ecological and evolutionary studies of gobies, the most speciose family of fishes in the world.

Implementasi Next.Js, Typescript, Dan Tailwind Css Untuk Pengembangan Aplikasi Frontend Sistem Inventory Perusahaan Apar (Studi Kasus: CV Indoka Surya Jaya)

This research succeeded in developing an internal management system using Next.js for the integration of key features such as customer, supplier, category, unit, product, purchase and invoice management. The use of TypeScript increases code security and clarity, and ensures the system is verified through Black Box Testing. Implementing Tailwind CSS in creating company landing pages strengthens online representation with a responsive and modern design. It is hoped that this system can significantly increase operational efficiency and be adaptive to changes in company needs in the future.

A teamwork framework for preventing breaches of academic integrity and improving students’ collaborative skills in the AI era

Generative artificial intelligence (AI) tools have become a major challenge in the education sector in terms of the way that students use and manage them. This study examines the development, implementation, and evaluation of a teamwork framework by using academic integrity standards and formative feedback to minimise the use of generative AI tools in the Business Project Management (BPM) unit and promote students' learning skills through teamwork and self/peer evaluation. This teamwork assessment was designed to transform students into independent learners by improving their cultural awareness, self-confidence, teamwork, communication, leadership, as well as personal and interpersonal skills. The study's objectives are to determine whether a teamwork framework can help to maintain academic integrity and transform BPM students into independent learners and leaders in the era of generative AI, and to determine whether lecturers' formative feedback enhances students' skills in teamwork assessment. This research comprises an empirical study of 408 local and international BPM students from different cultural backgrounds. A mixed-methods approach was used to collect data and achieve a broader perspective of the research topic. BPM students reported their satisfaction with this type of assessment since it helped them acquire skills such as intercultural effectiveness and teamwork. Following the implementation of the teamwork framework, the number of instances of academic misconduct and requests for extensions have decreased dramatically, while the assessment's average marks increased by 10 %. A set of recommendations is offered that will ensure the successful implementation of the proposed framework for teamwork assessment and self/peer evaluation. This study was limited to the Business Project Management unit, but in 2024, the same study will be conducted involving other postgraduate units at Curtin University with a future rollout in other universities to compare how students perceive teamwork assessment.

Use of the value-focused thinking methodology to understand health care waste management under the perspective of occupational and environmental health

The increasing generation of healthcare waste has greatly accelerated the concern about its potential negative environmental and public health effects. In this sense, the application of decision-making methods and techniques at a strategic level has become increasingly indispensable for the management of health units. This article aimed to understand the challenges in healthcare waste management (HCWM), the main mechanisms of action and values. The Value-Focused Thinking methodology was used to evidence important gaps and propose improvements in the context of decision on occupational safety and environmental protection, leading to the creation of alternatives not seen previously and guaranteeing the good ideas would be converted into actions. The structure was developed by semi-structured questionnaires, observation lists and interviews, conducted to expose the values of the main stakeholders (managers, health professionals, and cleaning professionals) of 10 public health units selected in Caruaru (Brazil). As a result, the investigation evidenced four fundamental goals for the decision context: improvement in work and environmental safety; improvement in HCWM practices; improvement in resource management; strengthening of the stakeholder communication network. From the analysis of the attributes associated with the fundamental goals, it was possible to identify actions that should be implemented with a higher priority and, in the short term, aiming at obtaining positive results, especially in the management practices and the safe management of health waste. The study resulted from an investigation that awakened the participants about aspects little questioned in everyday life. Implementing actions to segregate and recycle materials, with data monitoring and sharing, will increase the population's trust and the environment's and professionals' safety. The alternatives derived from the VFT method consider the perspectives of key stakeholders in HCWM, helping decision-makers and policymakers develop more assertive and grounded management strategies.