Total Workload Research Articles

Returning to work after childbirth and women’s mental health: the place of work-family conflict and of social supports in a population of working mothers in Paris area

Abstract Objective Analyzing in a cross-sectional study the factors associated with mental health in 1511 recently delivered women returning to work, the mediating role of work-family interface and the moderating role of social supports. Methods Data were collected at 3 months after returning to work to assess work characteristics (COPSOQ), work-family conflict (SWING), anxiodepressive symptoms (HADS), commuting, childcare, household demands, social supports. Results Anxiety and to lesser extent depressive symptoms were associated with work factors, the opposite for the non work demands. The mediation by work-family conflict and the moderation of social supports were present especially for anxiety symptoms. Taking into account the parental constraints by the hierarchy, family/friends support and paid personnel reduced anxiodepressive symptoms. Conclusions Promoting mental health at returning to work of new mothers needs the assessment of total workload and resources.

A Study on 128 Slice MDCT unit in a Tertiary Care Teaching Hospital with Special Emphasis on Work Flow and Break-Even Analysis

Purpose: To study the Cost Analysis of 128 Slice MDCT unit in a tertiary care teaching hospital Materials and methods: The study followed a biphasic design, comprising both retrospective and prospective components. The retrospective phase involved a record-based analysis conducted over a 3-month period, while the prospective phase included record review, observational methods, interviews, and material evaluation relevant to the study, carried out over the course of 1 month. Results: The cost of running the 128 Slice MDCT unit, including manpower, was calculated for a 3-month period, with an average of 28 cases per day. The unit handles a total workload of 54 TR (15 TR + 35 TR + 4 TR). Power is supplied by a 120KVA UPS located in the unit's UPS room. Depreciation for the building, with a lifespan of 100 years, is set at 1% of the capital cost. For an area of 51.2 sqm, the construction cost totals Rs 19,18,208/-, with a depreciation cost of Rs 47,955/- over 3 months. According to the CPWD manual, the annual maintenance cost is Rs 5104/- per sq.m., resulting in a maintenance expense of Rs 65,331/-. Additional costs for electricity, water, and linen over the 3-month period were also factored in. The breakeven point for the unit is estimated to be 744 days (approximately 2 years and 14 days). Conclusion: Getting each patient into and out of the procedure room in a timely manner can add minutes and maybe even hours to the daily schedules, allowing for the accommodation of a greater number of cases. Increasing the number of procedures performed per day or week can add to overall income.

Evolving Trainee Participation in Radiologists’ Workload: A National Medicare-Focused Analysis From 2008 to 2020

PurposeIncreasing volumes and productivity expectations, along with practice type consolidation, may be impacting trainees’ roles in the work effort of radiologists involved in education. We assessed temporal shifts in trainee participation in radiologists’ workload nationally. MethodsAll US radiologists interpreting noninvasive diagnostic imaging for Medicare fee-for-service beneficiaries were identified from annual 5% Research Identifiable Files from 2008 to 2020 (n = 35,595). Teaching radiologists were defined as those billing services using Medicare’s GC modifier, indicating trainee supervision. Billed work relative value units were used to determine the percentage of teaching radiologists’ total workload with trainee participation. Mean trainee participation in workload was calculated for teaching radiologists overall and stratified by radiologist and practice characteristics determined using National Downloadable Files. ResultsThe percentage of radiologists involved in teaching increased from 13.6% (2008) to 20.4% (2020). Among teaching radiologists, mean total workload increased 7% from 2008 to 2019 and decreased in 2020 to 2% below 2008’s level; mean teaching workload decreased 19% from 2008 to 2019 and decreased in 2020 to 31% below 2008’s level. Mean trainee participation in teaching radiologists’ total workload decreased from 35.3% (2008) to 26.3% (2019) and 24.5% (2020). Teaching radiologists showed decreased mean trainee participation when stratified by gender, experience, subspecialty, geography, practice type, and practice size. ConclusionsThe percentage of US radiologists involved in resident teaching has increased, likely reflecting academic practice expansion and academic-community practice consolidation. However, a declining percentage of teaching radiologists’ total workload involves trainees; this dispersion effect could have implications for education quality.

Optimizing cascade refrigeration systems with low GWP refrigerants for Low-Temperature Applications: A thermodynamic analysis

This study offers a comprehensive thermodynamic analysis of a cascade refrigeration system conducted for low-temperature applications, focusing on the use of low-GWP and zero-ODP refrigerants to improve efficiency and sustainability. The target of this study is to explore the performance of the system using a combination of refrigerants: low-temperature cycle refrigerants such as R744, while high-temperature cycle refrigerants such as R717, R1234yf, R1234ze(E), R1336mzz(E), and R1336mzz(Z), respectively. The ECS model incorporating in REFPROP 10.0a tool was utilized to extract the data through coding for analysis. The assessment of this system involves the examination of various parameters such as its coefficient of performance, total compressor workload, total exergy, and exergy efficiency across various operational conditions. The results are compared with and without superheated and subcooled conditions to understand the impact of these parameters on the system performance. The system with R744 in the low-temperature cycle and R717, R1234yf, R1234ze(E), R1336mzz(E), and R1336mzz(Z) in the high-temperature cycle provides a higher COP and lower total compressor work compared to the conventional cascade refrigeration system. In optimal CRS, the R744-R717 pair attains the highest COP of 2.05 at the lowest possible compressor work from 9.53 to 4.87 kW than other refrigerants pair while evaporator temperature shifting from −55 °C to −20 °C. The exergy efficiency of R744/R717 is found at 26.47 % at an evaporator temperature of −55 °C, but it extends to a peak of 51.73 % at −20 °C. The study also shows that the superheating and sub-cooling of the refrigerants have a significant impact on the performance of the cascade refrigeration system. Superheating and sub-cooling at 10 °C, improves the COP of the system by reducing the compressor work and increasing the heat transfer efficiency. The research offers valuable insights into the system’s thermodynamic performance when employing low GWP refrigerants in low-temperature applications. These findings have the potential to guide the design and optimization of cascade refrigeration systems over the range of low-temperature applications.

Aficamten and Cardiopulmonary Exercise Test Performance

Impaired exercise capacity is a cardinal manifestation of obstructive hypertrophic cardiomyopathy (HCM). The Phase 3 Trial to Evaluate the Efficacy and Safety of Aficamten Compared to Placebo in Adults With Symptomatic Obstructive HCM (SEQUOIA-HCM) is a pivotal study characterizing the treatment effect of aficamten, a next-in-class cardiac myosin inhibitor, on a comprehensive set of exercise performance and clinical measures. To evaluate the effect of aficamten on exercise performance using cardiopulmonary exercise testing with a novel integrated measure of maximal and submaximal exercise performance and evaluate other exercise measures and clinical correlates. This was a prespecified analysis from SEQUOIA-HCM, a double-blind, placebo-controlled, randomized clinical trial. Patients were recruited from 101 sites in 14 countries (North America, Europe, Israel, and China). Individuals with symptomatic obstructive HCM with objective exertional intolerance (peak oxygen uptake [pVO2] ≤90% predicted) were included in the analysis. Data were analyzed from January to March 2024. Randomized 1:1 to aficamten (5-20 mg daily) or matching placebo for 24 weeks. The primary outcome was change from baseline to week 24 in integrated exercise performance, defined as the 2-component z score of pVO2 and ventilatory efficiency throughout exercise (minute ventilation [VE]/carbon dioxide output [VCO2] slope). Response rates for achieving clinically meaningful thresholds for change in pVO2 and correlations with clinical measures of treatment effect (health status, echocardiographic/cardiac biomarkers) were also assessed. Among 282 randomized patients (mean [SD] age, 59.1 [12.9] years; 115 female [40.8%], 167 male [59.2%]), 263 (93.3%) had core laboratory-validated exercise testing at baseline and week 24. Integrated composite exercise performance improved in the aficamten group (mean [SD] z score, 0.17 [0.51]) from baseline to week 24, whereas the placebo group deteriorated (mean [SD] z score, -0.19 [0.45]), yielding a placebo-corrected improvement of 0.35 (95% CI, 0.25-0.46; P <.001). Further, aficamten treatment demonstrated significant improvements in total workload, circulatory power, exercise duration, heart rate reserve, peak heart rate, ventilatory efficiency, ventilatory power, and anaerobic threshold (all P <.001). In the aficamten group, large improvements (≥3.0 mL/kg per minute) in pVO2 were more common than large reductions (32% and 2%, respectively) compared with placebo (16% and 11%, respectively). Improvements in both components of the primary outcome, pVO2 and VE/VCO2 slope throughout exercise, were significantly correlated with improvements in symptom burden and hemodynamics (all P <.05). This prespecified analysis of the SEQUOIA-HCM randomized clinical trial found that aficamten treatment improved a broad range of exercise performance measures. These findings offer valuable insight into the therapeutic effects of aficamten. ClinicalTrials.gov Identifier: NCT05186818.

Comparison of Metabolic, Ionic, and Electrolyte Responses to Exhaustive Low-Load Strength Training With and Without Blood Flow Restriction and High-Load Resistance Training.

Low-load blood-flow-restriction resistance training (LL-BFR-RT) is gaining popularity, but its physiological effects remain unclear. This study aimed to compare LL-BFR-RT with low-load resistance exercise (LL-RT) and high-load resistance exercise (HL-RT) on metabolism, electrolytes, and ions in the lower extremities by invasive catheter measurements, which are crucial for risk assessment. Ten healthy men (27.6 ± 6.4 years) completed three trials of knee-extensor exercises with LL-RT (30% 1RM), LL-BFR-RT (30% 1RM, 50% limb occlusion pressure), and HL-RT (75% 1RM). The exercise protocol consisted of four sets to voluntary muscle failure with 1 min of rest between sets. Blood gas analysis was collected before, during, and after each trial through intravenous catheters at the exercising leg. LL-BFR-RT had lower total workload (1274 ± 237 kg, mean ± SD) compared to LL-RT (1745 ± 604 kg), and HL-RT (1847 ± 367 kg, p < 0.01), with no difference between LL-RT and HL-RT. Pain perception did not differ significantly. Exercise-induced drop in oxygen partial pressure, lactate accumulation and electrolyte shifts (with increased [K+]) occurred during under all conditions (p < 0.001). Creatine kinase and lactate dehydrogenase increased significantly 24- and 48-h postexercise under all three conditions (p < 0.001). This study, using invasive catheter measurements, found no significant differences in metabolic, ionic, and electrolyte responses among LL-BFR-RT, LL-RT, and HL-RT when exercised to voluntary muscular failure. LL-BFR-RT reduced time to failure without specific physiological responses.

Effects of pacing strategy on metabolic responses to 2-min intense exercise in Thoroughbred horses

Evidence suggests that positive pacing strategy improves exercise performance and fatigue tolerance in athletic events lasting 1–5 min. This study investigated muscle metabolic responses to positive and negative pacing strategies in Thoroughbred horses. Eight Thoroughbred horses performed 2 min treadmill running using positive (1 min at 110% maximal O2 uptake [V̇O2max], followed by 1 min at 90% V̇O2max) and negative (1 min at 90% V̇O2max, followed by 1 min at 110% V̇O2max) pacing strategies. The arterial-mixed venous O2 difference did not significantly differ between the two strategies. Plasma lactate levels increased toward 2 min, with significantly higher concentrations during positive pacing than during negative pacing. Muscle glycogen level was significantly lower at 1 and 2 min of positive pacing than those of negative pacing. Metabolomic analysis showed that the sum of glycolytic intermediates increased during the first half of positive pacing and the second half of negative pacing. Regardless of pacing strategy, the sum of tricarboxylic acid cycle metabolites increased during the first half but remained unchanged thereafter. Our data suggest that positive pacing strategy is likely to activate glycolytic metabolism to a greater extent compared to negative pacing, even though the total workload is identical.

Multi-disciplinary mass burn casualty simulation exercise

Disaster simulation exercises are important to test service processes, capabilities, and deficiencies and disaster response planning should encompass the entire multidisciplinary team over an extended period. Our service simulated a modest eight burn casualty scenario to test our service capabilities over a 10-week period across medical, nursing, and allied health professions. Requirements due to the mass burns casualty cohort were predicted in terms of theatre requirements, allied health treatment hours required, and nursing hours requirements. Prospective business-as-usual service provision data was also collected over the 10-week study period in respect to theatre utilisation, allied health workload, nursing hours and burns ward bed census. This data was then superimposed on predicted mass burn casualty requirements to gauge total workload demands over the study period. Results showed an expected significant initial spike in theatre requirements in the first week post mass casualty with ongoing deficiencies in theatre allocation occurring throughout the 10-week study period. Allied health staff were working at or near capacity in a business-as-usual setting with major spikes in workload demand occurring due to the mass burn casualty cohort. Total workload demands clearly exceeded current staff capacity for most of the allied health professions over the 10-week period. Bed census exceeded funded nursing bed capacity for all but seven days of the study period. Predicted combined nursing hours required exceeded funded capacity for all but two days. This simulation clearly demonstrated the high and immediate increase in workload demands across all professions over a prolonged 10-week period and that high business-as-usual demand can greatly affect staff capacity to cope with a mass casualty surge in admissions. It was able to provide evidence, and awareness, for leadership and management on the need for resources and resource re-allocation in a mass burn casualty scenario. It also informed a review of our current triggers for activating our SA Health Multiple Burns Plan.

Candida spp.: the burden of a microorganism in a microbiology department.

We believe that this work is of interest because at present, there is no really accurate information available on the total workload involved in isolating a specific microorganism in a clinical microbiology laboratory. The costs related to this have also not been described. We have described the unrestricted workload of Candida spp. in all types of samples for all types of species and patients. We believe that this information would be necessary to collect and share this information as well as to collect it in a standardized way to know the current situation of Candida spp. workload in all clinical microbiology laboratories.

Elite Soccer Players’ Weekly Workload Assessment Through a New Training Load and Performance Score

ABSTRACT Purpose: Monitoring players’ training load allows practitioners to enhance physical performance while reducing injury risk. The aim of this study was to identify the key external load indicators in professional U19 soccer. Methods: Twenty-four-professional Italian young (U19) soccer players were monitored by using the rating of perceived exertion (CR-10 RPE scale) and a wearable inertial sensor during the competitive season. Three main components were detected by a Principal Component Analysis (PCA): i) volume metabolic related component, ii) intensity mechanical stimuli component, and iii) intensity metabolic/mechanical component. We hence computed two scores (i.e. Performance [PERF] and total workload [WORK]) permitting to investigate the weekly microcycle. Results: Correlation analysis showed that scores (i.e. PERF and WORK) are low correlated (r = -0.20) suggesting that they were independent. Autocorrelation analysis showed that a weekly microcycle is detectable in all the scores. Two-way ANOVA RM showed a statistical difference between match day (MD) and playing position for the three PCA components and PERF score. Conclusion: We proposed an innovative approach to assess both the players’ physical performance and training load by using a machine learning approach allowing reducing a large dataset in an objective way. This approach may help practitioners to prescribe the training in the microcycle based on the two scores.

A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0

Flexible job shop scheduling problem (FJSP) with worker flexibility has gained significant attention in the upcoming Industry 5.0 era because of its computational complexity and its importance in production processes. It is normally assumed that each machine is typically operated by one worker at any time; therefore, shop-floor managers need to decide on the most efficient assignments for machines and workers. However, the processing time is variable and uncertain due to the fluctuating production environment caused by unsteady operating conditions of machines and learning effect of workers. Meanwhile, they also need to balance the worker workload while meeting production efficiency. Thus a dual resource-constrained FJSP with worker’s learning effect and fuzzy processing time (F-DRCFJSP-WL) is investigated to simultaneously minimise makespan, total machine workloads and maximum worker workload. Subsequently, the reinforcement learning enhanced multi-objective memetic algorithm based on decomposition (RL-MOMA/D) is proposed for solving F-DRCFJSP-WL. For RL-MOMA/D, the Q-learning is incorporated into memetic algorithm to perform variable neighbourhood search and further strengthen the exploitation capability for the algorithm. Finally, comprehensive experiments on extensive test instances and a case study of aircraft overhaul shop-floor are conducted to demonstrate effectiveness and superiority of the proposed method.

Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives

AbstractMeta‐analyses are widely used in various academic fields, including applied economics. However, the high labor intensity involved in paper searching and small sample sizes remain two dominant limiting factors. We conducted a meta‐analysis of studies on consumer preferences for plant‐based and lab‐grown meat alternatives using machine‐learning techniques at both the data collection and the data analysis phases. We demonstrated that machine learning reduces the workload in the manual title‐abstract screen phase by 69% accounting for 24% of total workload in data collection. We also found that machine learning improves out‐of‐sample of sample prediction accuracy by 48–78 percentage points when compared to econometric model. Notably, we showed that integrating machine learning can also improve the predictive performance of econometric methods, thereby improving their out‐of‐sample predictions. Our empirical findings further revealed that demand for meat alternatives is higher among younger consumers, especially when the products displayed benefit information.

Advanced practice nurse-coordinated same-day-discharge after atrial fibrillation ablation

Abstract Background Catheter ablation is an effective atrial fibrillation (AF) therapy, but a complex, resource-intensive procedure. Same-day discharge (SDD) reduces utilization of health care resources including personell and hospital beds, and may help to accommodate the increasing demand for AF ablation. However, besides structural adaptations, SDD requires more efficient logistics and coordination. Purpose Against this background, we established and validated a streamlined SDD program fully coordinated by an advanced practice nurse. Methods As dedicated SDD coordinator the advanced practice nurse was in charge of the full SDD protocol, including patient eligibility, patient flow, in-hospital logistics, patient education, discharge and short-term follow-up. For inclusion, basic home support and accessibility of the hospital within 60 minutes had to be warranted. Patients with LVEF &amp;lt;35% were excluded. Ablation was performed at the operator’s discretion. Ultrasound-guided femoral puncture was at the operator’s discretion for the first 150 SDD patients but became mandatory per protocol for all subsequent patients. Discharge by the SDD coordinator followed a standardized protocol including supervised ambulation, patient education, femoral inspection and echo. On post-ablation days 1 and 3, patients were called by the SDD coordinator to ensure well-being and good aspect of the femoral access site (smartphone foto control). In addition, patients could consult the SDD coordinator via mobile phone any time during working hours. In-person follow-up visits were scheduled at 2 weeks and 3, 6 and 12 months post-ablation. Results 420 consecutive patients were evaluated by the SDD coordinator of whom 331 were eligible for SDD. Reasons for exclusion were lack of home support (4.5%), living remotely (6.9%), or LVEF &amp;lt;35% (4.0%). 300 of the eligible patients (91%) were successfully discharged the same day (Fig. 1). Rates of unplanned medical attention (4.0%) and 30d-readmission (1.6%) were extremely low. Importantly, there was no major post-SDD complication. Unplanned medical attention and hospital readmissions were largely driven by minor femoral access site complications. Of note, those were significantly reduced upon introduction of mandatory ultrasound-guided puncture after the first 150 SDD patients (p=0.0145, Fig. 2). SDD coordination by the advanced practice nurse streamlined patient flow and in-hospital logistics and significantly reduced the total workload of nursing and medical staff. This resulted in great acceptance of the SDD program and satisfaction both among staff and patients. Conclusions Advanced practice nurse-coordinated SDD after AF ablation is safe and efficient. In fact, the position of a dedicated coordinator may be a key in the forthcoming transition of hospitals to SDD. Importantly, ultrasound-guided femoral puncture virtually eliminated relevant femoral access site complications and should be a prerequisite for SDD.Figure 1Figure 2

Государственное регулирование занятости женщин и профессиональная сегрегация в российской сфере труда – 100 лет истории. Часть 2. 1945-1991 годы

This paper, based on a general analysis of political documents and legislative acts, examines the changes in the regulation of employment conditions and regimes for women, as well as the dynamics of gender industry segregation. The first part of the article was dedicated to the initial Soviet period and the period of the Great Patriotic War (1917-1945). The second part covers the entire post-war Soviet period (1945-1991), during which there remained a commitment to the idea of maximizing women's participation in the economy. However, perceptions of the conditions for achieving gender equality in employment changed when the country faced the threat of critically low birth rates. As this demographic problem was directly linked to the high total workload of women, a system of benefits and preferences exclusively addressed to working women began to be developed, aiming to create "the most favourable conditions for combining professional and family duties." The implementation of an ever-expanding system of benefits did not lead to the equalization of opportunities for men and women in the labour sphere but contributed to the expansion of labour discrimination by gender and the formation of stereotypical views about jobs most "suitable for men" and "most suitable for women." The article analyzes the dynamics of differences in the sectoral employment structure of women and men based on historical and contemporary statistics, demonstrating that in the Russian Soviet society, committed to traditional gender role divisions, and without pressure on women in their choice of workplace, there was an increase in gender professional segregation due to the concentration of women in non-production sectors and men in material production sectors. The empirical basis for this study relies on data from the Central Statistical Office of the Russian Soviet Federative Socialist Republic (RSFSR) and Rosstat. The statistical analysis of gender segregation dynamics in this study employed the Duncan index, which quantitatively assesses and compares differences between the distributions of women and men across sectors and types of economic activity.

Trends in clinical workload in UK primary care 2005-2019: a retrospective cohort study.

Substantial increases in UK consulting rates, mean consultation duration, and clinical workload were observed between 2007 and 2014. To the authors' knowledge, no analysis of more recent trends in clinical workload has been published to date. This study updates and builds on previous research, identifying underlying changes in population morbidity levels affecting demand for primary health care. To describe the changes in clinical workload in UK primary care since 2005. Retrospective cohort study using GP primary care electronic health records data from 824 UK general practices. Over 500 million anonymised electronic health records were obtained from IQVIA Medical Research Data to examine consulting rates with GPs and practice nurses together with the duration of these consultations to determine total patient-level workload per person-year. Age-standardised mean GP direct (face-to-face and telephone) consulting rates fell steadily by 2.0% a year from 2014 to 2019. Between 2005 and 2019 mean GP direct consulting rates fell by 5.8% overall whereas mean workload per person-year increased by 25.8%, owing in part to a 36.9% increase in mean consultation duration. Indirect GP workload almost tripled over the 15 years, contributing to a 48.3% increase in overall clinical workload per person-year. The proportion of the study population with ≥3 serious chronic conditions increased from 9.7% to 16.1%, accounting for over a third of total clinical workload in 2019. Findings show sustained increases in consulting rates, consultation duration, and clinical workload until 2014. From 2015, however, rising demand for health care and a larger administrative workload have led to capacity constraints as the system nears saturation.

Quantification of daily workload, energy expenditure, and sleep of US Marine recruits throughout a 10-week boot camp.

During periods of high-volume vigorous exercise, United States Marine Corps recruits often experience musculoskeletal injuries. While the program of instruction (POI) for basic training is a defined training volume, the total workload of boot camp, including movements around the base, is unknown. The present study aimed to quantify the daily total workload, energy expenditure, and sleep during basic recruit training at Marine Corps Recruit Depot (MCRD) San Diego. Eighty-four male recruits from MCRD San Diego wore wrist wearable physiological monitors to capture their complete workload (mileage from steps), energy expenditure, and sleep throughout the 10-week boot camp. Marine recruits traveled an average of 11.5±3.4 miles per day (M±SD), expended 4105±823 kcal per day, and slept an average of 5 : 48±1 : 06 hours and minutes per night. While the POI designates a total of 46.3 miles of running and hiking, the actual daily average miles yielded approximately 657.6±107.2 miles over the 10-week boot camp. Recruit training requires high physical demand and time under tension due to the cumulative volume of movements around base in addition to the POI planned physical training.

Solving the Palliative Home Health Care Routing and Scheduling Problem with an integer linear programming model

Efficient routing and scheduling are critical for providing patients with quality health care in their homes, and palliative care involves specific requirements. This paper addresses the Palliative Home Health Care Routing and Scheduling Problem (PHHCRSP) through an integrated mathematical model. Key considerations include caregiver skills, care continuity, and a multi-period planning horizon. Special attention is also given to the case of clustered patients. Five formulations with different objective functions are analyzed and solutions reveal that optimizing only for minimum or maximum workload leads to non-efficient routing. The formulation that balances the total workload and the minimum workload emerges as the most effective, as it manages to obtain good routes while distributing the workload evenly among the caregivers. The results of the computational study on a set of well-known benchmark instances show that it is possible to obtain good patient care while keeping good working conditions for the caregivers.

Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation

Official governmental monitoring of deforestation in the Brazilian Amazon relies on human experts conducting visual analyzes of remote sensing images, an approach that is very expensive and time-consuming due to the enormous geographic extent to be inspected. The main obstacle to the adoption of fully automatic methods is the requirement for the highest possible deforestation detection accuracy, which arises from the official nature of the deforestation reports, used as a basis for deforestation prevention policies and international treaties. This work addresses such a high accuracy constraint by introducing a semi-automatic method that aims at limiting visual analysis to areas where automatic classification is characterized by high uncertainty. We hypothesize that classification uncertainty is correlated with classification error. Therefore, by trusting automatic detections with low uncertainty and subjecting areas of high uncertainty to visual audit, the amount of human intervention in the whole process could be limited to a small fraction of the forest area, while very high accuracies would be achieved. In this work we investigate various uncertainty estimation strategies, including multiple and single inference approaches, and evaluate different uncertainty metrics. Additionally, we conducted a comprehensive analysis to identify the natural factors and deforestation practices that contribute to high uncertainty in automatic classification. We draw interesting conclusions from the analysis of selected regions of two distinct target sites, which exemplify common causes of uncertainty and indicate how uncertainty may be related with ongoing forest degradation processes. Through experimental evaluation at those sites, we demonstrate that the proposed semi-automatic methodology can achieve impressive accuracies in terms of F1-score values, exceeding 97%, while reducing the total human audit workload to just 3% of the target area.

The Effects of Workload Excess on Quality of Work Life in Third-Level Healthcare Workers: A Structural Equation Modeling Perspective.

Examining the workload and working conditions of healthcare workers is crucial regarding the quality of the work life of employees and the quality of services provided. This study aims to determine the effects of the perceptions of workload on the quality of work life of health personnel working in two different tertiary hospitals affiliated with the Ministry of Health and the Higher Education Institution in Türkiye with structural equation modeling. This study was conducted in two hospitals in Malatya province: İnönü University Turgut Özal Medical Center affiliated with the Higher Education Institution and Malatya Training and Research Hospital affiliated with the Ministry of Health. The mean score of the Individual Workload Perception Scale was 106.18 ± 16.5, and the mean score of the Work-related Quality of Life Scale was 66.39 ± 15.33. Total workload scores had a statistically significant positive effect on total quality of work life scores (β1 = 0.98; p = 0.001). It was concluded that there was a statistically significant relationship between workload and quality of work life and age, unit of employment, working time in the profession, and hospital type.

Wred: Workload Reduction for Scalable Index Tuning

Modern database systems offer index-tuning advisors that automatically identify a set of indexes to improve workload performance. Advisors leverage the optimizer's what-if API to optimize a query for a hypothetical index configuration. Because what-if calls constitute a major bottleneck of index tuning, existing techniques, such as workload compression, help reduce the number of what-if calls to speed up tuning. Unfortunately, even with small workloads and few what-if calls, tuning can still take hours due to the complexity of the queries (e.g., the number of joins, filters, group-by and order-by clauses), which increases their optimization time. This paper introduces workload reduction, a new complementary technique aimed at expediting index tuning by decreasing individual what-if call time without significantly affecting the quality of index tuning. We present an efficient workload reduction algorithm, called Wred, which rewrites each query in the original workload to eliminate column and table expressions unlikely to benefit from indexes, thereby accelerating what-if calls. We study its complexity and ability to maintain high index quality. We perform an extensive evaluation over industry benchmarks and real-world customer workloads, which shows that Wred results in a 3x median speedup in tuning efficiency over an industrial-strength state-of-the-art index advisor, with only a 3.7% median loss in improvement---where improvement is the total workload cost as estimated by the query optimizer---and results in up to 24.7x speedup with 1.8% improvement loss. Furthermore, combining Wred and Isum (a state-of-the-art workload compression technique for index tuning) results in higher speedups than either of the two techniques alone, with 10.5x median speedup and 5% median improvement loss.