Distinguishing Different Industry Technologies and Localized Technical Change

This contribution is based on the notion that different technologies are present in an industry. These different technologies result in differential “drivers” of economic performance depending on the kind of technology used by the individual firm. In a first step different technologies are empirically distinguished. Subsequently, the associated production patterns are approximated and the respective change over time is estimated. A latent class modelling approach is used to distinguish different technologies for a representative sample of E.U. dairy producers as an industry exhibiting significant structural changes and differences in production systems in the past decades. The production technology is modelled and evaluated by using the flexible functional form of a transformation function and measures of first- and second-order elasticities. We find that overall (average) measures do not well reflect individual firms’ production patterns if the technology of an industry is heterogeneous. If there is more than one type of production frontier embodied in the data, it should be recognized that different firms may exhibit very different output or input intensities and changes associated with different production systems. In particular, in the context of localized technical change, firms with different technologies can be expected to show different technical change patterns, both in terms of overall magnitudes and associated relative output and input mix changes. Assuming a homogenous technology would result in inefficient policy recommendations leading to suboptimal industry outcomes.Heterogenous Technologies, Transformation Function, Localized Technical Change, Production Economics, Q12, O33, C35,

TECHNOLOGIES AND LOCALIZED TECHNICAL CHANGE

Heterogenous Technologies, Transformation Function, Localized Technical Change, Production Economics, Research Methods/ Statistical Methods, Q12, O33, C35,

Development of a single-session, transdiagnostic preventive intervention for young adults at risk for emotional disorders

Cognitive-behavioral prevention programs have demonstrated efficacy in reducing subclinical symptoms of anxiety and depression, and there is some evidence to suggest that they can lower the risk of future disorder onset. However, existing interventions tend to be relatively lengthy and target specific disorders or problem areas, both of which limit their potential for widespread dissemination. To address these limitations, we aimed to develop a single-session, transdiagnostic preventive intervention based on the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders for young adults at risk for developing anxiety and/or depressive disorders within a college setting. Results from this proof-of-concept study indicated that the intervention was viewed as highly satisfactory and acceptable. The intervention also was successful at delivering adaptive emotion management skills in its 2-hr workshop format. Future studies evaluating the efficacy of this novel transdiagnostic, emotion-focused prevention program are warranted.Accepted manuscrip

Impairment in predictive processes during auditory mismatch negativity in ScZ: evidence from event-related fields

Patients with schizophrenia (ScZ) show pronounced dysfunctions in auditory perception but the underlying mechanisms as well as the localization of the deficit remain unclear. To examine these questions, the current study examined whether alterations in the neuromagnetic mismatch negativity (MMNm) in ScZ-patients could involve an impairment in sensory predictions in local sensory and higher auditory areas. Using a whole-head MEG-approach, we investigated the MMNm as well as P300m and N100m amplitudes during a hierarchical auditory novelty paradigm in 16 medicated ScZ-patients and 16 controls. In addition, responses to omitted sounds were investigated, allowing for a critical test of the predictive coding hypothesis. Source-localization was performed to identify the generators of the MMNm, omission responses as well as the P300m. Clinical symptoms were examined with the positive and negative syndrome scale. Event-related fields (ERFs) to standard sounds were intact in ScZ-patients. However, the ScZ-group showed a reduction in the amplitude of the MMNm during both local (within trials) and global (across trials) conditions as well as an absent P300m at the global level. Importantly, responses to sound omissions were reduced in ScZ-patients which overlapped both in latency and generators with the MMNm sources. Thus, our data suggest that auditory dysfunctions in ScZ involve impaired predictive processes that involve deficits in both automatic and conscious detection of auditory regularities

Food Safety Posters for Safe Handling of Leafy Greens

This article describes food safety educational tools depicting safe handling of leafy greens that are available as downloadable posters to Extension educators and practitioners (www.extension.iastate.edu). Nine visual-based minimal-text colored posters in English, Chinese, and Spanish were developed for use when formally or informally educating foodservice workers about safely handling leafy greens. A three-phase methodology included the use of expert knowledge, microbial sampling, and observational study in Iowa and Kansas foodservice operations. Use of the posters was shown to have positive impacts on both microbial levels and food safety behaviors, suggesting that the posters can be useful tools for Extension personnel

Laparoscopic transgastric circumferential stapler-assisted vs. endoscopic esophageal mucosectomy in a porcine model

Background and study aims Extensive endoscopic mucosal resection (EMR) for Barrett's esophagus (BE) may lead to stenosis. Laparoscopic, transgastric, stapler-assisted mucosectomy (SAM) with the retrieval of a circumferential specimen is proposed. Methods SAM was evaluated in two phases. The feasibility of SAM and the quality of specimens were assessed in eight animals. The mucosal healing was evaluated in a 6-week survival experiment comparing SAM (n = 6) with EMR (n = 6). The ratio of the esophageal lumen width (REL) at the resection level measured on fluoroscopy at 6 weeks divided by the width immediately after resection was compared. Results In all animals, a circular mucosectomy specimen was successfully obtained, with a median area of 492 mm2 (interquartile range [IQR] 426 - 573 mm2) and 941 mm2 (IQR 813 - 1209 mm2) using a 21 mm and 25 mm stapler, respectively. In the survival experiments, symptomatic stenosis developed in two animals after EMR and in none after SAM. The REL was 0.27 (0.18 - 0.39) and 0.96 (0.9 - 1.04; P < 0.0001) for EMR and SAM, respectively. Conclusions SAM provides a novel technique for en bloc mucosectomy in BE. In contrast to EMR, mucosal healing after SAM was not associated with stenosis up to 6 weeks after intervention

Determining the Competitive Edge: Diversified Dairy Production Systems in the United States and the European Union

Agricultural and Food Policy, Farm Management, Livestock Production/Industries, Production Economics, Productivity Analysis,

A practical review of energy saving technology for ageing populations

Fuel poverty is a critical issue for a globally ageing population. Longer heating/cooling requirements combine with declining incomes to create a problem in need of urgent attention. One solution is to deploy technology to help elderly users feel informed about their energy use, and empowered to take steps to make it more cost effective and efficient. This study subjects a broad cross section of energy monitoring and home automation products to a formal ergonomic analysis. A high level task analysis was used to guide a product walk through, and a toolkit approach was used thereafter to drive out further insights. The findings reveal a number of serious usability issues which prevent these products from successfully accessing an important target demographic and associated energy saving and fuel poverty outcomes. Design principles and examples are distilled from the research to enable practitioners to translate the underlying research into high quality design-engineering solutions

Brain Volume Changes after COVID-19 Compared to Healthy Controls by Artificial Intelligence-Based MRI Volumetry.

peer reviewedCohort studies that quantify volumetric brain data among individuals with different levels of COVID-19 severity are presently limited. It is still uncertain whether there exists a potential correlation between disease severity and the effects of COVID-19 on brain integrity. Our objective was to assess the potential impact of COVID-19 on measured brain volume in patients with asymptomatic/mild and severe disease after recovery from infection, compared with healthy controls, using artificial intelligence (AI)-based MRI volumetry. A total of 155 participants were prospectively enrolled in this IRB-approved analysis of three cohorts with a mild course of COVID-19 (n = 51, MILD), a severe hospitalised course (n = 48, SEV), and healthy controls (n = 56, CTL) all undergoing a standardised MRI protocol of the brain. Automated AI-based determination of various brain volumes in mL and calculation of normalised percentiles of brain volume was performed with mdbrain software, using a 3D T1-weighted magnetisation-prepared rapid gradient echo (MPRAGE) sequence. The automatically measured brain volumes and percentiles were analysed for differences between groups. The estimated influence of COVID-19 and demographic/clinical variables on brain volume was determined using multivariate analysis. There were statistically significant differences in measured brain volumes and percentiles of various brain regions among groups, even after the exclusion of patients undergoing intensive care, with significant volume reductions in COVID-19 patients, which increased with disease severity (SEV > MILD > CTL) and mainly affected the supratentorial grey matter, frontal and parietal lobes, and right thalamus. Severe COVID-19 infection, in addition to established demographic parameters such as age and sex, was a significant predictor of brain volume loss upon multivariate analysis. In conclusion, neocortical brain degeneration was detected in patients who had recovered from SARS-CoV-2 infection compared to healthy controls, worsening with greater initial COVID-19 severity and mainly affecting the fronto-parietal brain and right thalamus, regardless of ICU treatment. This suggests a direct link between COVID-19 infection and subsequent brain atrophy, which may have major implications for clinical management and future cognitive rehabilitation strategies