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The literature on mycotoxins and its spread into different subject disciplines has been examined using the card index of the Tropical Development and Research Institute Library. The index has a total of 2,802 references on mycotoxins. The graph on the growth of the subject shows an initial flat, a steep climb, a small flat and then a rapid decline. The field of mycotoxins began life as part of agriculture and then moved into the disciplines of chemistry, food science, medicine, microbiology and veterinary science. The pattern of literature spread or scatter made it possible to divide the literature into four chronological sequences or stages of development: period of academic interest, period of high activity, period of peak activity and period of continued interest. It is suggested that such a study could be useful in the effective running of a documentation centre.

The purpose of this paper is to investigate the effects of extreme weather conditions on runoff, nutrient, and soil loss from agriculture‐dominated catchments at different locations in Norway.

Four catchments have been selected to study the potential effects of climate change on runoff and nutrient loss. The catchments are part of the Agricultural Environmental Monitoring Programme in Norway (JOVA) and represent different climatological conditions, agricultural production systems/practices, and soil types. Different characteristics were calculated on the basis of existing measurements and evaluated with respect to climate change.

In four selected catchments, climate change is predicted to lead to an increase in runoff. Under similar land use and tillage methods, this will most likely lead to an increase in nutrient and soil loss. Milder winters as a consequence of climate change might lead to extreme runoff conditions and severe erosion, caused by a combination of frozen soil, snowmelt, and intense rainfall. Existing large diurnal variations in discharge have to be taken into consideration in the future design of hydrotechnical implementations. Information about the potential effects of climate change on runoff generation, the magnitude of the different hydrological flow paths, and their potential effects on nutrient and soil loss processes is necessary in choosing the right mitigation measures.

Long time series on runoff and water quality (such as those collected in small agriculture‐dominated catchments as part of the Agricultural Environmental Monitoring Programme in Norway (JOVA)) are rare, but indispensable in evaluating the potential effects of climate change on nutrient and soil loss.

The purpose of this paper is to develop a method for predicting the chloride ingress into concrete structures, with an emphasis on the low temperature range where freeze-thaw cycles may cause damage.

The different phenomena that contribute to the rate and amount of transported chlorides into concrete, i.e., heat transfer, moisture transport and chloride diffusion are modeled using a two-dimensional nonlinear time dependent finite element method. In modeling the chloride transport, a modified version of Fick’s second law is used, in which processes of diffusion and convection due to water movement are taken into account. Besides, the effect of freeze-thaw cycles is directly incorporated in the governing equation and linked to temperature variation using a coupling term that is determined in this study. The proposed finite element model and its associated program are capable of handling pertinent material nonlinearities and variable boundary conditions that simulate real exposure situations.

The numerical performance of the model was examined through few examples to investigate its ability to simulate chloride penetration under freeze-thaw cycles and its sensitivity to factors controlling freeze-thaw damage. It was also proved that yearly temperature variation models to be used in service life assessment should take into account its cyclic nature to obtain realistic predictions.

The model proved promising and suitable for chloride penetration in cold climates.

The consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while accounting for the yearly variation in banks.

Due to the importance of efficiency measures for policy and managerial decision-making, the cost efficiency measures of SFA and DEA estimators are examined according to four criteria: levels, rankings, stability over time and stability over clustering groups. In this paper, we present two clustering methods, Gap Statistic and Dindex, that involve SFA and DEA cost efficiency measures. The clustering approach creates homogeneous groups of banks offering a similar mix of efficiency levels. Hence, each evaluated bank knows the cluster to which it belongs. Furthermore, this paper provides nonparametric statistical tests of SFA and DEA cost efficiency measures estimated with and without a clustering approach.

The results suggest that the clustering approach plays a considerable role in the rankings of US banks. Furthermore, the average SFA and DEA cost efficiency measures over time of the homogeneous US banks are substantially higher than those of the heterogeneous US banks.

This research is the first to provide comparative efficiency measures needed for desirable policy conclusions of heterogeneous and homogeneous US banks.

To model the evacuation time from buildings in the event of emergencies based on occupant load, looking specifically at the exit width as a design parameter.

In this study, transient occupant loads from a simulation model based on a recent study of 34 offices in Hong Kong were used to evaluate the probable risk to evacuees in the case of an emergency evacuation. For this analysis the “door carrying capacity” approach was used, together with probability profiles for the occupant loads at certain exit flow rates. This paper investigates the occupant load profiles as well as the yearly and daily occupant load variations of some typical offices in Hong Kong and examines the fire safety implications of the office building designs from the perspective of the risk to evacuees.

The results show that the building occupant load, occupant‐load ratio, total exit width and specific flow rate at the exit significantly affect the risk to evacuees.

The model parameters are not exhaustive and are determined from surveys in Hong Kong.

A useful source of reference in conducting risk assessment for safe egress design of office buildings for those involved in building design, operation and management.

This paper, taking account of exit design, occupant load and its variations using the door carrying capacity approach, presents a simple method to determine the probable risk to evacuees in offices.

The purpose of this paper is to examine how installed base information could help servitizing original equipment manufacturers (OEMs) forecast and support their industrial service sales, and thus increase OEMs’ understanding regarding the dynamics of their customers lifetime values (CLVs).

This work constitutes a constructive research aiming to arrive at a practically relevant, yet scientific model. It involves a case study that employs statistical methods to analyze real-life quantitative data about sales and the global installed base.

The study introduces a forecasting model for industrial service sales, which considers the characteristics of the installed base and predicts the number of active customers and their yearly volume. The forecasting model performs well compared to other approaches (Croston’s method) suitable for similar data. However, reliable results require comprehensive, up-to-date information about the installed base.

The study contributes to the servitization literature by introducing a new method for utilizing installed base information and, thus, a novel approach for improving business profitability.

OEMs can use the forecasting model to predict the demand for – and measure the performance of – their industrial services. To-the-point predictions can help OEMs organize field services and service production effectively and identify potential customers, thus managing their CLV accordingly. At the same time, the findings imply new requirements for managing the installed base information among the OEMs, to understand and realize the industrial service business potential. However, the results have their limitations concerning the design and use of the statistical model in comparison with alternative approaches.

The study presents a unique method for employing installed base information to manage the CLV and supplement the servitization literature.

In this paper, the authors tested if promoting the workforce's happiness (through high performance work policies or HPWP) and well-being in European Public companies relates to their profitability (return on equity, ROE), market risk (beta) and stock price return. Also, the authors tested if investors have a performance benefit if they buy a portfolio screened with companies with HPWP.

The authors proxied the quality of the HPWP efforts in the first method with the Refinitiv workforce score. They used this data in an unbalanced panel of eastern, western, northern and southern Europe companies from 2011 to 2022. The panel data also included the ROE, the market risk (beta) and the stock price return of these companies. The authors estimated the corresponding regressions with the panel data and tested the relationship between the workforce score and these three variables. In a second method, they simulated the weekly performance of a portfolio that invested only in European companies with high standards in their HPWP and compared its performance against a conventional market portfolio (with no HPWP screening).

In the first method, the authors found no significant relationship between the workforce score and the ROE, beta, or stock price return in the panel regression, controlling for random effects. In the second one, they found no over or underperformance in the HPWP portfolio against the European market one in the second method.

The results suggest that there is no risk or cost for European Public companies and investors alike if they promote, with better HPWP, the happiness and well-being of their workforce. The findings suggest that if European companies promote HPWP, there will be no adverse impact on their profits, market risk, or stock price performance. Also, investors will not lose performance (against a conventional market portfolio) if they screen their portfolios with this type of workforce-friendly companies.

Increase the scarce literature on the test of the workforce score with company profitability (ROE), stock market price variation and stock market risk level.

Year‐to‐year fluctuations of rainfall in the northern Negev desert provide an opportunity to characterize and assess the temporal dynamics of desertification, phenology, and drought processes. Such information was retrieved and analyzed by combined use of satellite imageries in the reflectivity and thermal spectral bands. Data covering four years of coarse spatial resolution and images from a high revisit time satellite, namely the NOAA‐14, were used. The images were processed to produce the normalized difference vegetation index (NDVI) and the land surface temperature (LST). These measures were applied to the sand field in the northwestern Negev (Israel), which is almost totally covered by biological soil crusts, and to an adjacent region in Sinai (Egypt), consisting mainly of bare dune sands. Various manipulations of the data were applied. Time series presentation of the NDVI and LST reveals that the NDVI values correspond to the reaction of the vegetation to rainfall and that LST values represent seasonal climatic fluctuation. Scatterplot analysis of LST vs NDVI demonstrates the following: the two different biomes (Sinai and the Negev) exhibit different yearly variation of the phenological patterns (two seasons in Sinai moving along the LST axis, and three seasons in the Negev, where the NDVI axis represents the growing season); the Sinai has an ecosystem similar to that found in the Sahara, while the Negev, only a few kilometers away, has an ecosystem similar to the one found in the Sahel; and drought indicators were derived by using several geometrical expressions based on the two extreme points of the LST‐NDVI scatterplot. The later analysis led to a discrimination function that aims to distinguish between the drought years and the wet years in both biomes. Results from the current study show that a great deal of information on dryland ecosystems can be derived from four, out of five, NOAA/AVHRR spectral bands. The NDVI is derived from the red and the near‐infrared bands and the LST from the two thermal bands. Combined use of these two products provides more information than any product alone.

The 3,4-methylenedioxymetamphetamine (MDMA) content in ecstasy tablets has increased enormously throughout Europe across the past decade. This study aims to determine whether this is caused by the production of “stronger” tablets (more mg MDMA per mg of tablet), or if tablets have simply been getting larger and heavier (more mg of tablet in total).

A data set of 31,716 ecstasy tablets obtained in 2012–2021 by 10 members of the Trans European Drug Information (TEDI) network was analysed.

The MDMA mass fraction in ecstasy tablets has remained virtually unchanged over the past 10 years, with increased MDMA contents being attributed almost exclusively to increased tablet weight. These trends seem to be uniform across Europe, despite varying sampling and analytical techniques being used by the TEDI participants. The study also shows that while tablet weight correlates perfectly with MDMA content on a yearly basis, wide variations in the MDMA mass fraction make such relations irrelevant for determining the MDMA content of individual tablets.

These results provide new opportunities for harm reduction, given that size is a tangible and apparently accurate characteristic to emphasise that one tablet does not simply equate to one dose. This is particularly useful for harm reduction services without the resources for in-house quantification of large numbers of ecstasy tablets, although the results of this study also show that chemical analysis remains crucial for accurate personalised harm reduction.

The findings are both new and pertinent, providing a novel insight into the market dynamics of ecstasy tablet production at a transnational level.

This study is to examine factors contributing to the variability in chronic obstructive pulmonary disorder (COPD) and asthma hospitalization rates when the influence of patient characteristics is being simultaneously considered by applying a risk adjustment method.

A longitudinal analysis of COPD and asthma hospitalization of rural Medicare beneficiaries in 427 rural health clinics (RHCs) was conducted utilizing administrative data and inpatient and outpatient claims from Region 4. The repeated measures of risk-adjusted COPD and asthma admission rate were analyzed by growth curve modeling. A generalized estimating equation (GEE) method was used to identify the relevance of selected predictors in accounting for the variability in risk-adjusted admission rates for COPD and asthma.

Both adjusted and unadjusted rates of COPD admission showed a slight decline from 2010 to 2013. The growth curve modeling showed the annual rates of change were gradually accentuated through time. GEE revealed that a moderate amount of variance (marginal R ² = 0.66) in the risk-adjusted hospital admission rates for COPD and asthma was accounted for by contextual, ecological, and organizational variables.

The contextual, ecological, and organizational factors are those associated with RHCs, not hospitals. We cannot infer how the variability in hospital practices in RHC service areas may have contributed to the disparities in admissions. Identification of RHCs with substantially higher rates than an average rate can portray the need for further enhancement of needed ambulatory or primary care services for the specific groups of RHCs. Because the risk-adjusted rates of hospitalization do not vary by classification of rural area, future research should address the variation in a specific COPD and asthma condition of RHC patients.

Risk-adjusted admission rates for COPD and asthma are influenced by the synergism of multiple contextual, ecological, and organizational factors instead of a single factor.