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Simple Summary: Biting hematophagous dipterans are responsible for painful bites and blood spoliation; they induce behavioral modifications, anemia, and significant production losses in cattle. A feedlot of 100 feeder cattle would register a total loss of USD 16,000 within 5 months, which appears to be an unexpectedly huge loss caused by dipterans. Investing part of this money in fly control would probably be beneficial. In addition to blood pathogen transmission, insects of the order Diptera affect livestock through visual and contact harassment; blood-feeders are responsible for painful bites and blood despoliation, generating behavioral modifications, anemia, and production losses. Knowledge of their economic impact is a basis for cost-effective control. Here, we measured the global impact of diptera insects by comparing two batches of six feeder cattle, one in the open air and the other protected by a mosquito net. The analytical data were insect density in the open air and, for feeder cattle, tail flick counts, hematocrit values (Ht), feed intake, feed conversion ratio (FCR), and live body weight gain (LBWG). Over a period of five months, the results showed significant losses in the LBWG of cattle exposed to insects, estimated at 8.0 ± 1.5 kg/month [2.7; 13.3], with a total loss reaching 40.0 ± 5.5 kg/head. Main diurnal insects were Stomoxys spp. and Musca crassirostris. There was a strong correlation between fly density and diurnal tail flicks. Night trapping and tail flicks showed a potentially important role of mosquitoes to be further explored. The Ht levels of exposed animals were 3–4% lower than those of controls. FCRs indicated that exposed animals needed 33% more dry matter intake/kg of LBWG. An economic assessment showed that dipterans were responsible for a 10–11% loss in LBWG during the main growing period of feeder cattle (10–15 months). A feedlot of 100 calves would register a total loss of USD 16,000 within 5 months, which appears to be an unexpectedly huge loss caused by dipterans. Investing part of this money into fly control would probably be beneficial. [ABSTRACT FROM AUTHOR]

Aim: The inclusion of production losses in health care priority setting is extensively debated. However, few studies allow for a comparison of these losses across relevant clinical and demographic categories. Our objective was to provide comprehensive estimates of Norwegian production losses from morbidity and mortality by age, sex and disease category. Methods: National registries, tax records, labour force surveys, household and population statistics and data from the Global Burden of Disease were combined to estimate production losses for 12 disease categories, 38 age and sex groups and four causes of production loss. The production losses were estimated via lost wages in accordance with a human capital approach for 2019. Results: The main causes of production losses in 2019 were mental and substance use disorders, totalling NOK121.6bn (32.7% of total production losses). This was followed by musculoskeletal disorders, neurological disorders, injuries, and neoplasms, which accounted for 25.2%, 7.4%, 7.4% and 6.5% of total production losses, respectively. Production losses due to sick leave, disability insurance and work assessment allowance were higher for females than for males, whereas production losses due to premature mortality were higher for males. The latter was related to neoplasms, cardiovascular disease and injuries. Across age categories, non-fatal conditions with a high prevalence among working populations caused the largest production losses. Conclusions: The inclusion of production losses in health care priority debates in Norway could result in an emphasis on chronic diseases that occur among younger populations at the expense of fatal diseases among older age groups. [ABSTRACT FROM AUTHOR]

This paper focuses on the cold damage and drought cross-stress in maize in Northeast China. The WOFOST model based on parameter localization was used to simulate the growth and development process of maize using daily meteorological data from 110 stations in the research area from 1981 to 2020. The experiment determined that the grouting index and the number of drought days were the indicators for identifying the low-temperature and drought cross-stress in maize, as well as the impact assessment indicators for the fluctuation percentage of dry matter weight in storage organs. It also achieved a quantitative assessment of the impact of cross-stress of low-temperature and drought between 1981 and 2020 and typical years. The results indicated that the WOFOST model can effectively simulate the impact of low-temperature and drought on maize growth, and the historical occurrence of cold damage identified by using the grouting index and drought days as indicators of the low-temperature and drought cross-stress in maize is basically in line with the actual situation. Compared with the average temperature from May to September and the regional cold damage index of > 105 °C supplemented by the meteorological industry standard "Technical Specification for Assessment of Cold Damage to Spring Maize in Northern China", as well as the identification results of the "Drought Grade of Spring Maize in Northern China", the average identification accuracy of low-temperature drought cross-stress in Northeast China based on the WOFOST model is 82.0%, 76.4% of stations have an accuracy of 80.0% or above, and only 4.5% of stations have an accuracy of less than 50.0%. Under the combined influence of low temperature and drought cross-stress, 88.9% of the years showed a reduction in maize production. The evaluation results reflect the historical production reality of maize in Northeast China and are consistent with existing research results. [ABSTRACT FROM AUTHOR]

This study evaluated the economic impacts caused by mastitis in a small dairy farm with similar characteristics and production to most dairy farms in southern Brazil and investigated if climatic variations influenced mastitis occurrence in the region. A farm with, on average, 45 lactating Holstein cattle was monitored from November 2021 to October 2022, and data on mastitis cases, bulk tank milk somatic cell count, animal treatment costs, milk production, animal disposal costs, and production losses were collected. Monthly averages of temperature, relative humidity (RH), and rainfall in the region were obtained. The greatest loss was related to the drop in milk production, resulting in 63.8% of total losses, followed by animal disposal (29.5%), milk disposal (4.6%), and treating animals with mastitis (2.0%), totaling a 10.6% reduction in the annual gross income. There were negative correlations between the clinical mastitis rate and monthly RH and between subclinical mastitis and temperature; the occurrence of subclinical mastitis and average RH were positively correlated. Our findings showed that mastitis negatively impacted the economy and that climate influenced mastitis occurrence. [ABSTRACT FROM AUTHOR]

In addition to blood pathogen transmission, insects of the order Diptera affect livestock through visual and contact harassment; blood-feeders are responsible for painful bites and blood despoliation, generating behavioral modifications, anemia, and production losses. Knowledge of their economic impact is a basis for cost-effective control. Here, we measured the global impact of diptera insects by comparing two batches of six feeder cattle, one in the open air and the other protected by a mosquito net. The analytical data were insect density in the open air and, for feeder cattle, tail flick counts, hematocrit values (Ht), feed intake, feed conversion ratio (FCR), and live body weight gain (LBWG). Over a period of five months, the results showed significant losses in the LBWG of cattle exposed to insects, estimated at 8.0 ± 1.5 kg/month [2.7; 13.3], with a total loss reaching 40.0 ± 5.5 kg/head. Main diurnal insects were Stomoxys spp. and Musca crassirostris. There was a strong correlation between fly density and diurnal tail flicks. Night trapping and tail flicks showed a potentially important role of mosquitoes to be further explored. The Ht levels of exposed animals were 3–4% lower than those of controls. FCRs indicated that exposed animals needed 33% more dry matter intake/kg of LBWG. An economic assessment showed that dipterans were responsible for a 10–11% loss in LBWG during the main growing period of feeder cattle (10–15 months). A feedlot of 100 calves would register a total loss of USD 16,000 within 5 months, which appears to be an unexpectedly huge loss caused by dipterans. Investing part of this money into fly control would probably be beneficial.

Methane (CH4) emanating from terrestrial sources serves as a precursor for the genesis of tropospheric ozone (O3), a pernicious atmospheric contaminant that adversely modulates the physiological mechanisms of agricultural crops. Despite the acknowledged role of CH4 in amplifying O3 concentrations, the extant literature offers limited quantitative evaluations concerning the repercussions of CH4-mediated O3 on cereal yields. Employing the GEOS-Chem atmospheric chemistry model, the present investigation elucidates the ramifications of a 50% diminution in anthropogenic CH4 concentrations on the yield losses of maize, soybean, and wheat across Asia for the fiscal year 2010. The findings unveil pronounced yield detriments attributable to O3-induced phytotoxicity, with the Indo-Gangetic Plain and the North China Plain manifesting the most substantial yield impairments among the crops examined. A halving of anthropogenic CH4 effluents could ameliorate considerable losses in cereal production across these agriculturally pivotal regions. CH4-facilitated O3 exerts a pernicious influence on cereal yields; nevertheless, targeted mitigation of CH4 effluents, particularly in the vicinity of the North China Plain, holds the potential to substantially attenuate O3 contamination, thereby catalyzing an enhancement in regional cereal production. [ABSTRACT FROM AUTHOR]

Surface methane (CH4) is a significant precursor of tropospheric ozone (O3), a greenhouse gas that detrimentally impacts crops by suppressing their physiological processes, such as photosynthesis. This relationship implies that CH4 emissions can indirectly harm crops by increasing troposphere O3 concentrations. While this topic is important, few studies have specifically examined the combined effects of CH4 and CH4-induced O3 on rice yield and production. Utilizing the GEOS-Chem model, we assessed the potential reduction in rice yield and production in Asia against a 50% reduction in anthropogenic CH4 emissions relative to the 2010 base year. Based on O3 exposure metrics, the results revealed an average relative yield loss of 9.5% and a rice production loss of 45,121 kilotons (Kt) based on AOT40. Regions such as the India-Gangetic Plain and the Yellow River basin were particularly affected. This study determined that substantial reductions in CH4 concentrations can prevent significant rice production losses. Specifically, curbing CH4 emissions in the Beijing-Tianjin-Hebei region could significantly diminish the detrimental effects of O3 on rice yields in China, Korea, and Japan. In summary, decreasing CH4 emissions is a viable strategy to mitigate O3-induced reductions in rice yield and production in Asia. [ABSTRACT FROM AUTHOR]

In March 2020, the COVID-19 pandemic rapidly spread across Bangladesh, affecting various sectors, including aquaculture. However, there is a lack of evidence regarding the effects on aquaculture production and profitability in the country. The present study addresses this gap and investigates the impact of the COVID-19 pandemic using a convenience questionnaire survey utilising face-to-face and telephonic interviews with 499 fish farmers from five prominent fish-culture regions (Satkhira, Khulna, Madaripur, Bhola, and Mymensingh) in Bangladesh from April to August 2020. The results show aquaculture production losses averaging 29.1 % during the pandemic compared to the pre-pandemic period. Before the COVID-19 pandemic outbreak, the farmers reported a profit of USD3813 per hectare, which turned into a loss of USD2565.4 per hectare during the pandemic period. The standard multiple linear regression analysis indicated that large farms experienced a more significant impact on aquaculture production loss and economic loss during the pandemic period compared to small farms [β = 0.15, P = 0.029]. The causes for the production loss were identified by rank based quotient (RBQ), indicating that increased fish transportation costs and prices of seed and feed dominated during the lockdown. The lockdown and movement restrictions also reduced selling prices because of fewer buyers. The government provided financial support to the fish farmers, but only onethird (36 %) of the respondents received financial aid. The study suggests implementing medium and long-term measures, such as strengthening communication networks, digital marketing strategies and developing strategic planning initiatives to improve disaster management and resilience to mitigate the effects of the pandemic. [ABSTRACT FROM AUTHOR]

Gearbox transmission system is a fundamental factor in the industrial applications. If gearbox stop working due to different faults, it may break normal machine operation and cause a production loss. This research paper focused on fault analysis of combination of worm wheel and bearing by using root mean square (RMS) and response surface method (RSM). Faults considered on outer race and inner race of worm wheel bearing, on worm wheel tooth. These faults and load were considered as an important independent factor to understand their effects on RMS response of worm gearbox. Worm gearbox experimental setup is for laboratory experimentation and RSM for analysis. Twenty seven experimental trial conducted for three level of parameters based on design of experiment (DOE). Vibration based response measured in frequency domain and root mean square parameter extracted for the fault analysis. Box behnken design RSM is implemented to investigate independent parameters effect on output parameter i.e RMS. The result shows that effect of faulty inner race bearing is more on worm wheel as compared to faulty outer race bearing and fault parameter influence RMS than load parameter.

Reconfigurable manufacturing systems (RMS) is a new manufacturing paradigm aiming at providing exactly functionality and capacity needed and exactly when needed. Reconfiguration is the main method to achieve this goal. But, the reconfiguration is an interruption to production activities causing production loss and system ramp-up problem and the 'exact functionality' may increase the reconfiguration efforts and aggravate the production loss and the ramp-up time. Therefore, a special RMS – delayed reconfigurable manufacturing system (D-RMS) is proposed to promote the practicality of RMS. Starting from the RMS built around part family with the characteristic of delayed differentiation, whose reconfiguration activities mainly occur in the latter stages of manufacturing system and the former stages have the potential to maintain partial production activities to reduce production loss during reconfiguration. Inspired from this, the basic structure of RMS is divided into two subsystems, subsystem 1 is capable of maintain partial production with a certain more functionality than needed, subsystem 2 reconfigure to provide exactly functionality and capacity of a specific part exactly when needed. And then, the benefits of D-RMS are analysed from inventory and ramp-up time aspects. Finally, a case study is presented to show the implementation process of D-RMS and validates the practicability of D-RMS. [ABSTRACT FROM AUTHOR]

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Abstract Background Adverse economic consequences of antibiotic resistance, both in health care systems and in society at large, have been estimated to emerge and significantly affect the global economy. To date, most studies of the societal costs of antibiotic resistance have had a macroeconomic perspective, using the number of attributable deaths as a quantifier for production loss. In contrast, there have been few studies of the consequences of antibiotic resistance in terms of the length of sick leave and hence the impact of morbidity on production loss. The aim of our study was to estimate the production loss from ill health caused by antibiotic resistance. Method To estimate additional production loss due to antibiotic resistance, we used Swedish register-based cohort data to determine days of long-term sick leave (LTSL) for episodes of infection caused by resistant and susceptible bacteria respectively. We collected patient data for four common infection types (bloodstream infection, urinary tract infection, skin and soft tissue infection, and pneumonia), as well as, antibiotic susceptibility test data, and total days of LTSL. We used a two-part model to estimate the number of LTSL days attributable to resistance, and controlled for comorbidities and demographic variables such as age and gender. Results The results show that antibiotic resistance adds an additional 8.19 days of LTSL compared with a similar infection caused by susceptible bacteria, independent of infection type and resistance type. Furthermore, the results suggest that production loss due to temporary sick leave caused by antibiotic resistance in a working-age population amounts to about 7% of total health care costs attributable to antibiotic resistance in Sweden. Conclusion Estimating the effect of antibiotic resistance in terms of temporary production loss is important to gain a better understanding of the economic consequences of antibiotic resistance in society and, by extension, enable more effective resource allocation to combat further emergence of resistance. Society’s economic costs of antibiotic resistance are, however, probably much greater than those of sick leave due to disease alone.

Methane (CH4) emanating from terrestrial sources serves as a precursor for the genesis of tropospheric ozone (O3), a pernicious atmospheric contaminant that adversely modulates the physiological mechanisms of agricultural crops. Despite the acknowledged role of CH4 in amplifying O3 concentrations, the extant literature offers limited quantitative evaluations concerning the repercussions of CH4-mediated O3 on cereal yields. Employing the GEOS-Chem atmospheric chemistry model, the present investigation elucidates the ramifications of a 50% diminution in anthropogenic CH4 concentrations on the yield losses of maize, soybean, and wheat across Asia for the fiscal year 2010. The findings unveil pronounced yield detriments attributable to O3-induced phytotoxicity, with the Indo-Gangetic Plain and the North China Plain manifesting the most substantial yield impairments among the crops examined. A halving of anthropogenic CH4 effluents could ameliorate considerable losses in cereal production across these agriculturally pivotal regions. CH4-facilitated O3 exerts a pernicious influence on cereal yields; nevertheless, targeted mitigation of CH4 effluents, particularly in the vicinity of the North China Plain, holds the potential to substantially attenuate O3 contamination, thereby catalyzing an enhancement in regional cereal production.

Surface methane (CH4) is a significant precursor of tropospheric ozone (O3), a greenhouse gas that detrimentally impacts crops by suppressing their physiological processes, such as photosynthesis. This relationship implies that CH4 emissions can indirectly harm crops by increasing troposphere O3 concentrations. While this topic is important, few studies have specifically examined the combined effects of CH4 and CH4-induced O3 on rice yield and production. Utilizing the GEOS-Chem model, we assessed the potential reduction in rice yield and production in Asia against a 50% reduction in anthropogenic CH4 emissions relative to the 2010 base year. Based on O3 exposure metrics, the results revealed an average relative yield loss of 9.5% and a rice production loss of 45,121 kilotons (Kt) based on AOT40. Regions such as the India-Gangetic Plain and the Yellow River basin were particularly affected. This study determined that substantial reductions in CH4 concentrations can prevent significant rice production losses. Specifically, curbing CH4 emissions in the Beijing-Tianjin-Hebei region could significantly diminish the detrimental effects of O3 on rice yields in China, Korea, and Japan. In summary, decreasing CH4 emissions is a viable strategy to mitigate O3-induced reductions in rice yield and production in Asia.

Manufacturers are pursuing energy-efficient production in response to the fluctuating energy price, growing global competition, rigorous international laws, and severe environmental crisis. This article proposes to boost the energy efficiency of production systems by controlling the production. It extends the existing energy-saving control research by presenting integrated modeling, analyzing, and controlling approaches. The work starts from the modeling of the production systems and establishes an analytical model to systematically quantify the production loss resulted from energy-saving control and the various disruptions. A dynamic control algorithm is proposed to reduce energy consumption and maintain desirable productivity. Simulation studies are utilized to demonstrate the application of the proposed method and verify its effectiveness. Note to Practitioners—The previous research indicates that it is possible to strategically turn off stations during production for energy saving. However, production systems are complex dynamic systems consisting of interconnected stations and supporting subsystems. Similar to station random failures, turning off stations for energy saving can severely jeopardize the production, and deviate the production from the desired target. Therefore, a quantitative method is established to calculate the production loss resulted from the energy-saving control and disruptions. The method is important to understand the real control cost. Based on the analysis, a dynamic control algorithm is formulated to balance the achieved control benefit and the production loss. It provides plant managers a useful tool to make energy-saving control decisions with a thorough understanding of production system dynamics. The presented research is established for serial batch production systems. The examples of batch stations include the refrigerator foaming equipment in refrigerator assembly lines and the vacuum oven in battery assembly lines. The model cannot be directly applied in serial-parallel production systems. [ABSTRACT FROM AUTHOR]

Background: Adverse economic consequences of antibiotic resistance, both in health care systems and in society at large, have been estimated to emerge and significantly affect the global economy. To date, most studies of the societal costs of antibiotic resistance have had a macroeconomic perspective, using the number of attributable deaths as a quantifier for production loss. In contrast, there have been few studies of the consequences of antibiotic resistance in terms of the length of sick leave and hence the impact of morbidity on production loss. The aim of our study was to estimate the production loss from ill health caused by antibiotic resistance.Method: To estimate additional production loss due to antibiotic resistance, we used Swedish register-based cohort data to determine days of long-term sick leave (LTSL) for episodes of infection caused by resistant and susceptible bacteria respectively. We collected patient data for four common infection types (bloodstream infection, urinary tract infection, skin and soft tissue infection, and pneumonia), as well as, antibiotic susceptibility test data, and total days of LTSL. We used a two-part model to estimate the number of LTSL days attributable to resistance, and controlled for comorbidities and demographic variables such as age and gender.Results: The results show that antibiotic resistance adds an additional 8.19 days of LTSL compared with a similar infection caused by susceptible bacteria, independent of infection type and resistance type. Furthermore, the results suggest that production loss due to temporary sick leave caused by antibiotic resistance in a working-age population amounts to about 7% of total health care costs attributable to antibiotic resistance in Sweden.Conclusion: Estimating the effect of antibiotic resistance in terms of temporary production loss is important to gain a better understanding of the economic consequences of antibiotic resistance in society and, by extension, enable more effective resource allocation to combat further emergence of resistance. Society's economic costs of antibiotic resistance are, however, probably much greater than those of sick leave due to disease alone. [ABSTRACT FROM AUTHOR]

Process selection has been a focal task in operation management. This research focuses on finding alternatives to the current process that have to be at least as capable as the current process. Having multiple alternative processes available enables the manufacturers to have better resource utilization and scheduling flexibility. However, selecting the right process under non-normal data remains a challenge. Quality loss is a popular criterion because of its direct relationship with cost objectives. In this research, we propose the Cpp-based PO bootstrap approach to evaluate candidate processes based on quality loss by utilizing the incapability index. The Cpp index represents Taguchi's Loss function k(x – T)2, which is suitable for the nominal-the-best type of quality characteristic. It measures production loss caused by process inaccuracy and imprecision. The experiments show that the proposed method can loosen up the reliance on normal assumption by controlling type I error and providing higher power compared to the extended method from the literature. The application to amplifier circuits manufacturing showed that the proposed method is effective to identify the inferior processes despite the severe departure of data from normal, while the opposed method built under normality assumption fails to do so. [ABSTRACT FROM AUTHOR]

Abstract Background In July 2019, a PRRSV-negative boar station was infected with a recombinant of two PRRSV vaccine strains, which subsequently spread to at least 36 herds that had received semen from the boar station. In the following months, all the infected herds reported reduced productivity. The aim of the present study was to evaluate the impact of the PRRS outbreak. Results Production data were collected from 13 of the herds. The average levels of farrowings/week, liveborns/litter, stillborns/litter, pre-weaning mortality and weaned pigs/litter were compared for the five-month period after infection and the preceding 7 months before infection with the new variant of PRRSV-1. Twelve herds experienced a decrease in farrowings/week (0.1–10.8% fewer farrowings/week), and all herds experienced fewer liveborns (0.8–4.8 fewer liveborns/litter) and more stillborns (0.6–2.6 more stillborns/litter). Pre-weaning mortality nearly doubled in half of the herds. Overall, the 13 herds were missing 2.4–6.5 pigs/litter at weaning during the 5 months after infection compared to the seven preceding months before infection. Conclusion In this study, the impact of this new PRRSV-1 variant on productivity exceeded that typically seen in Danish herds infected with PRRSV-1.

The Global Burden of Animal Diseases provides an analytical framework to measure the overall health of various farmed animal populations, to estimate the farm-level burden of different diseases, incorporating production losses due to morbidity and mortality as well as health expenditure, and to identify the wider economic and human health impacts of animal disease. Attributing the burden of animal diseases to specific causes or groups of causes requires methodological choices, including the classification of diseases and the resulting health states that manifest in loss of production. The aim of this article is to address the key challenges in the process of estimating farm-level disease burden, including ambiguity in terminology, data availability and collation, and adjustments for comorbidity. Using infection with zoonotic Brucella spp. in small ruminants as an aetiological cause of disease and abortion as a sequela of multiple diseases, practical examples of the framework are provided. Cause-specific attribution of the burden of animal disease captures temporal and spatial trends, an understanding of which is essential for planning, monitoring and evaluating animal health programmes and disease interventions.

Shrimp aquaculture in India is synonymous with coastal aquaculture. Like other agricultural activities, it appropriates a wide range of environmental goods and services, and is vulnerable to impacts of climate change as the cultured animals are sensitive to various kinds of biotic and abiotic stressors. Climate change affects the shrimp aquaculture directly by extreme weather events and seasonal variations, and indirectly alter the primary and secondary productivity, structure and composition of the ecosystems or by influencing the availability of fishmeal, fish oil and other goods and services required for aquaculture farmers. The perceptions of farmers on the impacts of climate change on shrimp aquaculture in inland and coastal areas of Krishna District, Andhra Pradesh are discussed. Cyclone and flood were perceived by all the farmers, whereas irregular season, high temperature, heavy rain and drought were perceived by 79, 89, 91 and 5 % of farmers, respectively. Environmental, biological, and economic impacts of climate change drivers on aquaculture indicated 20 to 30 % loss due to seasonal variations and 50 to 100% loss due to extremely heavy rainfall, flood and cyclones. The economic risk rating was high with flood followed by the cyclone and the magnitude was more in coastal areas compared to inland areas. There is no universally applicable list of adaptation measures and need to be evaluated for individual aquaculture systems. Autonomous and planned adaptation measures to be implemented by farmers, researchers and policymakers are discussed for climate-resilient aquaculture. Planned adaptive measures are either at the primary level or non-existence, hence policy initiatives are required to formulate planned adaptive measures to enhance the adaptive capacity of the farmers. [ABSTRACT FROM AUTHOR]

In the face of global economic development and increasing energy demands, the efficient allocation of Research and Development (R&D) resources emerges as a universal concern. This study illuminates the complex relationship between R&D factor mismatch, production losses, and changes in regional energy intensity. Utilizing factor mismatch accounting framework and the STIRPAT model, we systematically assess the impact of spatial mismatches in R&D factors on R&D output and regional energy intensity. The analysis unfolds in three steps, first, the estimation of the degree of spatial R&D factor mismatch and the resulting output gap; second, the calculation of R&D output loss as a function of spatial mismatch coefficient and output share per location; and third, the examination of changes in energy intensity induced by R&D factor mismatch in terms of Total Factor Productivity (TFP), factor mismatch, and output structure. Our findings reveal that R&D factor mismatches can hinder energy intensity reduction, and that regional disparities in the process of factor market marketization significantly contribute to variations in regional energy intensity. These insights emphasize the critical role of efficient R&D resource allocation in promoting energy conservation and productivity, providing substantial implications for policy-making in sustainable growth and energy efficiency across diverse economies. [ABSTRACT FROM AUTHOR]

Endometritis being a post-partum uterine infection in dairy cows is likely with substantial production loss through reduction in milk yield (MY), discarded milk during treatment and withdrawal period, and increased cost of veterinary treatment. This study quantified the influence of endometritis on MY of zero-grazed dairy cows managed on smallholder farms in Rwanda. The study enrolled a total of 461 cows within their 21 to 60 days in milk to examine for clinical endometritis (CLE) and subclinical endometritis (SCLE). A cow was considered having endometritis if it was positive for at least one test (CLE or SCLE), otherwise was negative. The MY data were collected prospectively from endometritis positive and negative cows for 30-day post-endometritis diagnosis. Compared to cows negative for endometritis, the positive endometritis cows were 2.4 times more (29.7 vs. 70.3%) with daily MY 15.3% lower (7.5 ± 0.2 vs. 8.9 ± 0.3 litres; p

Abstract Background The aim was to investigate the prevalence of health problems and work environment problems and how these are associated with subjective production loss among women and men at an academic workplace. An additional aim was to investigate whether there were differences between women and men according to age group, years at current workplace, academic rank or managerial position. Methods A questionnaire was sent in 2011 to all employees at a Swedish university (n = 5144). Only researchers and teachers were included in the study (n = 3207). Spearman correlations were performed to investigate differences in health and work environment problems. Employees who reported having experienced work environment or health problems in the previous seven days (n = 1475) were included in the analyses in order to investigate differences in subjective production loss. This was done using Student’s t-test, One-way Anova and generalized linear models. Results The response rate was 63% (n = 2022). A total of 819 academic staff (40% of the population) reported experiencing either health problems, work environment problems or both during the previous seven days. The prevalence of health problems only or a combination of work environment and health problems was higher among women than men (p-value ˂0.05). This was especially the case for younger women, those in lower academic positions and those who had worked for fewer years at their current workplace. No difference was found for work environment problems. The majority of the employees who reported problems said that these problems affected their ability to perform at work (84–99%). The average production loss varied between 31 and 42% depending on the type of problem. Production loss due to health-related and work-environment related problems was highest among junior researchers and managers. No significant difference between men and women was found in the level of production loss. Conclusion Subjective production loss in academia can be associated with health and work- environment problems. These losses appear similar for women and men even though younger female academics, women in lower academic ranks and those with fewer years of employment in their current workplace report a higher prevalence of health problems and combined work-environment and health problems than men.

Maintenance Scheduling and Routing (MS&R) is critical for the offshore wind farm to reduce maintenance cost. Although different models are proposed, the turbine operating conditions and the forecasted wind resources in the maintenance horizon are still less accounted in these current models. To address this issue, this research proposes a novel mathematical model to optimize the MS&R problem by highlighting the significance of turbine production loss (PL) before and during maintenance activities. In the proposed methodology, the PL term takes the most up-to-date wind turbine power curve and the forecasted wind resources as model inputs. Subsequently, a novel Genetic Algorithm (GA) solver is designed to minimize the PL of wind turbines together with the technician salaries and the transportation costs. The outcome of the proposed model gives a detailed maintenance plan with maintenance schedules, vessel routes, technician assignments, and cost breakdowns. Validation of the proposed model is implemented on real-world data collected from an offshore wind farm with several 4 MW wind turbines. The result demonstrates the effectiveness and superiority of the proposed method, and some practical findings are also summarized in the conclusions. [ABSTRACT FROM AUTHOR]

Abstract The aims of this study were to determine the prevalence of fasciolosis in cattle herds and its influence on production in order to identify potential risk factors in different climate regions and risk indices in three states of Mexico. The levels of anti -F. hepatica IgG1 antibodies were determined using an indirect ELISA. A total of 837 farm owners or managers answered the questionnaire. The total prevalence of the parasite over the period of January to March 2017 was 63.56%. The highest percentages of positive herds for the categories were found in Hidalgo state (88.33%), the no-risk classification (69.55%) and the temperate climate (76.53%). Overall, the production losses were approximately 0.51 to 1.00 kg of milk per parasitized cow per day. The annual costs of milk production loss per farm were estimated to range from US$2218.39 to US$6424.51, followed by anthelmintic treatment for young stock (US$67.68) and adult cows (US$209.47). Using multivariate logistic regression analysis, six final models were constructed for potential association with the ELISA results and were supported by the climatic, environmental and management factors. The results indicate that different factors were significantly associated with an increased risk of infection for each model. [ABSTRACT FROM AUTHOR]

Rock deformation is an important mechanism in shale reservoirs and occurs simultaneously with gas flow during the production period. It may not only result in production variation, but also have an impact on reservoir flow behaviors. Accurate simulation of gas flow in deformable reservoirs is challenging considering dual porosity structure of shale reservoirs. Besides, the complex fracture network topology and interactions further complicates the simulation of the fracture system. In this work, we implement a discrete fracture model (DFM), in which the reservoir is divided into the matrix and fracture system. The DFMs use flexible Delaunay triangulation to represent individual fractures, hence they could handle complex fracture network. Based on the comprehensive study of the deformation of matrix and fracture, a flow model that considers rock deformation is presented to predict well production and reservoir dynamics. Numerical simulations are conducted to investigate the influence of rock deformation on a reservoir with complex fracture network. Results under no deformation (ND) condition and integrated deformation (ID) condition show that rock deformation has an obvious impact on the gas production and the pressure distribution. The percentage of production loss increases with reservoir pressure, while decreases as matrix permeability or fracture conductivity increases. Comparisons of production loss caused by the individual deformation depict that the natural fracture deformation (NFD) is dominant, the hydraulic fracture deformation (HFD) is minor, while the matrix deformation (MD) is negligible. Less percentage of production loss caused by the ID is observed than the sum caused by the NFD, the HFD, and the MD. [ABSTRACT FROM AUTHOR]

The uncertainty of the global food supply has increased, and land abandonment has affected food security. Based on nationally representative farm households in 1995, 2002, 2008 and 2020, this paper systematically reveals the extent, drivers, and production loss of farmland abandonment in China, providing a scientific basis for the comprehensive management of land abandonment. The extent of farmland abandonment has been increasing since 1995; 1/5 of farmers have abandoned their farmland, and 1/10 of farmland has been abandoned. The number of counties recording farmland abandonment increased from 34 (11.15%) at the beginning of the study period to 224 (73.44%) by the end, and these counties were mainly distributed in the hilly and mountainous areas along the Yangtze River as well as in Southeast, Southwest, Northwest, and Northeast China. Farmland abandonment is the result of a combination of multiple factors, including basic farmland conditions and socio-economic and ecological factors, among which the low agricultural comparative income caused by agricultural labour shortages and poor-quality farmland conditions is the root cause. In 2020, for example, the ratio of farmland abandonment in major grain-producing and non-grain-producing regions was 7.38% and 16.94%, respectively, resulting in a total loss of 49.23 million tons of grain, which is 7.36% of the total national grain output. The production loss experienced by China could feed 123 million people based on the per capita annual food consumption estimates of 400 kg. Currently, farmland abandonment poses a threat to China's food security, and the government should gradually improve the quality of farmland through comprehensive land management, improve rural infrastructure and develop small-scale machinery suitable for hilly and mountainous areas. [Display omitted] [ABSTRACT FROM AUTHOR]

In recent years, in response to stringent government regulations and conscious consumers, businesses are being placed under increasing pressure to achieve higher productivity with reduced environmental impacts. For this reason it is a requirement for businesses to use management tools that relate environmental facts to company profits and increase environmental performance in addition to financial performance. Material Flow Cost Accounting, one of the major tools of environmental management accounting, aims to reduce material use and production losses, increase efficient uses of material and energy, and reduce adverse environmental impacts and associated costs. The purpose of this paper is to introduce Material Flow Cost Accounting. [ABSTRACT FROM AUTHOR]

We aimed to examine the direct costs of short-term (1–14 days) sickness absence and the effect of employees' physical activity on the costs. The Finnish Helsinki Health Study survey (2007) was used in the analysis (n= 3,935). Physical activity was classified into inactive, moderately active, and vigorously active. Sickness absence (3 years follow-up) and salary data were derived from the employer's registers. On average, an employee was absent 6 days a year due to short-term sickness absence, with a production loss of 2,350 EUR during the 3 years. The vigorously active had less sickness absence than those less active. The direct cost of sickness absence of a vigorously active employee was 404 EUR less than that of an inactive employee. Promoting physical activity among employees may decrease direct cost of short-term sickness absence. [ABSTRACT FROM PUBLISHER]

Due to limited resource potentials in crop production it's essential to find reserves to increase the efficiency of mechanized processes. Due to the lack of technical and human resources, there is a need to increase the daily and seasonal performance of machine-tractor units. The daily productivity of sowing units can be higher due to reducing downtime periods per shifts. Thus, downtime periods are chronometrically studied to identify their major causes. The seasonal loading of sowing units can also be increased due to agricultural practices. The analytically described relations of sowing and harvesting processes and their parameters prove sowing periods of crops with different growing seasons to be significantly increased due to cultivation practices with the fewer sowing units being necessary. [ABSTRACT FROM AUTHOR]

The hypothesis tested in this experiment was that Trichostrongylus colubriformis infection would reduce growth rates of grazing meat-breed lambs; however production loss would be reduced by suppression of the host immune response. The experiment had a 3 × 2 factorial design using 6–7 month old meat-breed lambs which remained uninfected or infected (IF Y ) with 2000 or 4000 T. colubriformis L3/week for 12 weeks and were immunosuppressed (SUP Y ) using methylprednisolone acetate once weekly or remained non-immunosuppressed (SUP N ). Immunosuppression increased worm egg counts (WEC) of infected lambs (SUP Y 2421 eggs per gram (epg), SUP N 1154 epg on day 84, p < 0.05) and T. colubriformis burdens ( p < 0.05–0.10) and reduced circulating eosinophils ( p < 0.05 on days 11, 42, 56 and 84) and intestinal total antibody titres ( p < 0.02). There was a significant ( p < 0.05) interaction between the main effects of infection and immunosuppression with infection having a larger negative effect on the liveweight of non-immunosuppressed lambs. The immunological response of the host to T. colubriformis infection accounted for 75% of the overall cost of infection (3.1 kg) with the majority of this cost occurring during the first 35 days of infection. In contrast, most of the cost associated with the direct effect of infection occurred after day 35. These results confirm in grazing meat-breed lambs that the host’s immunological response to T. colubriformis infection is the major component of production loss. [ABSTRACT FROM AUTHOR]

Development of the worn machinery market on the former USSR and availability of the commercial farm units with varying areas of cereal cropping causes the necessity in grounding the economically viable correlation between the combine harvester season load and its technical readiness. It is determined that on the increasing the combine harvester season load from 150 to 350 hectares the rational operational readiness must be raised from 0,4 to 0.85, the repair time must be decreased from six hours to half an hour and the mean time between failures must be raised from six hours to twenty hours. It is possible to ensure these activities by means of repair-servicing correlations, increasing the number of participants in eliminating the consequences of failure and forming the fund of the changeable spare parts, their timely delivery to the mobile units, using the aggregate repair method. [ABSTRACT FROM AUTHOR]

Background: The aim of this study is to evaluate the construct validity and responsiveness of a Swedish measure of health-related production loss as well as to investigate if there is a difference in the level of production loss within a population suffering from persistent back/neck pain and CMDs.Methods: The sample was drawn from a study that assessed employees' health and working capacity in 74 health care units before and after intervention. The study included 692 patients who reported working the previous six months at baseline measurement, and who were also asked to answer questions related to health-related production loss. Health-related measures were general health derived from Short Form-12, health-related quality of life derived from EQ-5D, and work ability derived from the Work Ability Index (WAI). Convergent validity and external responsiveness were assessed using Spearman's Rank Correlation Coefficient and a linear regression model, respectively.Results: The different measures of health showed a moderate-to-strong correlation with the measure of health-related production loss and fulfilled the criteria for construct validity. Changes in health and work ability led to significant changes in health-related production loss, which demonstrates external responsiveness. This result is valid for both the total population and for the two different subgroups that were evaluated.Conclusions: The present study shows that this measure of health-related production loss is a valid measure for capturing production loss due to illness, and that work ability is more strongly correlated with health-related production loss than people's general health is. The result shows an average of about 50 % reduced production due to illness, with back pain being the most costly. [ABSTRACT FROM AUTHOR]

The objective of this study was to evaluate the influence of morning stiffness on productivity at work and to estimate the work-related economic consequences of morning stiffness among patients with RA-related morning stiffness in 11 European countries. The original sample comprised 1061 RA patients from 11 European countries (Belgium, Denmark, Finland, France, Germany, Italy, Norway, Poland, Spain, Sweden and UK). They had been diagnosed with RA and experience morning stiffness three or more times per week. Data were collected by interviews. Women comprised 77.9 % of the sample, the average age was 50.4 years, and 84.3 % had RA diagnosed for more than 2 years. Overall costs of RA-related morning stiffness was calculated to be 27,712€ per patient per year, varying from 4965€ in Spain to 66,706€ in Norway. On average, 96 % of the overall production losses were attributed to early retirement, with a markedly lower level (77 %) in Italy than in other countries ( p < 0.0001). The proportion of patients who reported retirement due to morning stiffness and productivity losses due to late work arrivals and working while sick showed considerable variation across the countries represented in the study. Overall, the average annual cost of late arrivals (0.8 % of the total costs) was approximately half of the costs attributed to sick leave (1.7 %) and working while sick (1.5 %). Morning stiffness due to RA causes significant production losses and is a significant cost burden throughout Europe. There seem to be notable differences in the impact of morning stiffness on productivity between European countries. [ABSTRACT FROM AUTHOR]

This study was carried out to investigate the risk factors relating Highly Pathogen Avian Influenza H5N1 and to evaluate consumer demand and related economic losses for poultry raised in the Kızılırmak Delta. Data were obtained from 361 householders in the Kızılırmak Delta and surrounding rural areas of the delta where a Highly Pathogen Avian Influenza outbreak occurred in 2008. The total cost of the disease outbreak in the area was estimated as 501.768 TL for the 3.116 enterprises. Based on market prices for 2011, the compensation cost for the disease was estimated at 276 TL per enterprise. The time of the Highly Pathogen Avian Influenza outbreaks had happenned, correlation between the consumption of eggs and poultry families were significant at 0.05 level. In conclusion, the present study contributed to the determination of production losses due to the disease Highly Pathogen Avian Influenza, disease-related control and protection measures, estimated payments and direct economic effects. [ABSTRACT FROM AUTHOR]