Enterprises in Romanian Agriculture – Management, Present and Perspectives

The paper work contains synthetic references relating to agricultural enterprises found in structures of exploitations in Romanian agriculture. Their concerns over these units appear to be lower, their number is not large. The work combines aspects of representing these units to management and their particularities in comparison with units from other branches, with their regarding functionality and the factors who determine their prospects in agriculture in the next years and the conclusions learned from the study undertaken.reform; enterprise; private initiative; empirical and scientific management; risk; cost; competitiveness.

The Management of Regional Biodiversity – Forest Potential

The considerations on the ability of forest to maintain ecological balance and numerous environmental protection functions require the exercise of a sensible management, consistent with regional development plans. This is the more necessary as, at this moment, we are situated well below the limit of a forestation, in terms of European woodland. The management of the forest biodiversity, seen as an economic and environmental manner, permits, among other things, a sustainable exploitation of the potential through specific actions, scheduled actions of timber production, deadlines of contraction, territorial redistribution of quotas of timber, a forestation measures.biodiversity; forest potential; management; durability.

ENVIRONMENTAL RISK IN ROMANIAN VINEYARDS

Agricultural activity, unlike other economic areas, is accompanied by a high degree of risk and uncertainty, caused mainly by environmental factors. The influence of weather on growth and developing processes of crops, orchards and vineyards is the science which studies and determines agricultural biotope necessary to achieve optimal biological productivity. Thus, agro meteorology involves agro-climatic resources’ management and conservation in developing agricultural production process (weather - deepening relationship). Agriculture, as user of agro meteorological information, recover their combination with specialized information (agricultural, technological, economic, etc.) for preventing and minimizing climatic risk upon plant species, but also for establishing sustainable development strategies. In order to prevent and reduce the negative impact on wine production, it is necessary to monitor weather forecasts and hazardous to achieve decision-making system of protection and assurance wine production.natural hazards, traceability, agro meteorological monitoring, risk management.

STUDY REGARDING INTEGRATION OF NATURAL DISADVANTAGED AGRICULTURAL AREAS IN ECONOMIC CYCLE

The agriculture potential output is influenced by several factors. Some of them are general, centered on economic and financial leverages; others are more specific, focusing on natural disasters vector results. Yet all of them can generate local microclimate and environmental changes that reflect on economical dimension of agricultural exploitations or areas. Our study is based on analysis, synthesis and data processing from specific areas of Bacau County and aims to provide social rehabilitation and economical integration support decision suggestions.disadvantaged areas, rational exploitation, ecological products, anti-erosion measures, cultivation specific system

Investigating the nexus between fuel ethanol and CO2 emissions. A panel smooth transition regression approach

In this paper, we fill the gap in the literature by identifying a negative relationship between fuel ethanol consumption and CO2 emissions, building on a sample of 17 European countries covering seven years, from 2010 to 2016. Based on a Panel Smooth Transition Regression approach we show that countries with high levels of income inequality have difficulties in avoiding environmental degradation by promoting policies and regulations for more intense use of biofuels. Furthermore, we bring strong empirical evidence suggesting that biofuels could be an alternative in the future to reducing CO2 emissions. In our opinion, this non-linear analysis could provide the scientific basis for authorities, especially the European Commission to promote environmental policies to a specific country with different levels of carbon emissions rather than to the entire group

MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 dataset with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, facial and skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://medshapenet.ikim.nrw/ and https://github.com/Jianningli/medshapenet-feedbackComment: 16 page

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries

The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., "If you do not practice these steps, you can endanger yourself and others") or potential gains (e.g., "If you practice these steps, you can protect yourself and others")? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions