COOPERATIVE EMPLOYMENT CONTRACT AS THE BASIS FOR ESTABLISHING AN EMPLOYMENT RELATIONSHIP

The subject of the foregoing study is the characteristics of the cooperative employment contract, which is the basic form of employment of worker cooperatives members, and, in principle, is used only there. The legislator requires that, in addition to the cases laid down in the provisions of the Cooperative Law, the cooperative member is employed for the entire duration of the membership on the basis of a cooperative employment contract, which has a significant impact on the way in which the contract is concluded and its content. Pursuant to Article 182 of Cooperative Law, as soon as a person joins a worker cooperative, both the cooperative and its member are obliged to enter into and remain in a cooperative employment relationship with each other. Importantly, if the employment relationship is not established through the fault of the cooperative, the member may claim, for the entire duration of the membership, the conclusion of a cooperative employment contract, and apart from that, he may, within one year from the date of becoming a member, claim compensation under the provisions of civil law. These claims are subject to the cognition of the labour court.

A computational approach for generating continuous estimates of motor unit discharge rates and visualizing population discharge characteristics

Objective: Successive improvements in high density surface electromyography and decomposition techniques have facilitated an increasing yield in decomposed motor unit (MU) spike times. Though these advancements enhance the generalizability of findings and promote the application of MU discharge characteristics to inform the neural control of motor output, limitations remain. Specifically, 1) common approaches for generating smooth estimates of MU discharge rates introduce artifacts in quantification, which may bias findings, and 2) discharge characteristics of large MU populations are often difficult to visualize. Approach: In the present study, we propose support vector regression (SVR) as an improved approach for generating smooth continuous estimates of discharge rate and compare the fit characteristics of SVR to traditionally used methods, including Hanning window filtering and polynomial regression. Furthermore, we introduce ensembles as a method to visualize the discharge characteristics of large MU populations. We define ensembles as the average discharge profile of a subpopulation of MUs, composed of a time normalized ensemble average of all units within this subpopulation. Analysis was conducted with MUs decomposed from the tibialis anterior (N = 2128), medial gastrocnemius (N = 2673), and soleus (N = 1190) during isometric plantarflexion and dorsiflexion contractions. Main Result: Compared to traditional approaches, we found SVR to alleviate commonly observed inaccuracies and produce significantly less absolute fit error in the initial phase of MU discharge and throughout the entire duration of discharge. Additionally, we found the visualization of MU populations as ensembles to intuitively represent population discharge characteristics with appropriate accuracy for visualization. Significance: The results and methods outlined here provide an improved method for generating estimates of MU discharge rate with SVR and present a unique approach to visualizing MU populations with ensembles. In combination, the use of SVR and generation of ensembles represent an efficient method for rendering population discharge characteristics.

Vaccination Against COVID-19: Emerging Issues and Future Prospects

The most effective means of combating the COVID-19 pandemic s the formation of herd immunity, with the formation of an immune population to infection. Vaccination rates are continuously increasing. In early February 2021, WHO announced that the number of people vaccinated against the disease for the first time exceeded the number of infected. In early June 2021 the vaccinated number exceeded 2 billion which is more than 12 times the total number infected for the entire duration of the pandemic. The high rate of vaccination leads to the formulation of a number of questions concerning the effectiveness of vaccines currently used for mass immunization the level of herd immunity, necessary to stop the spread of the disease, the actual duration of the vaccination carried out, long-term prospects of the platforms, used in the creation of vaccines. The purpose of this paper is to substantiate reasoned answers to the questions posed.

Tectonics of cartography

Probably by dint of seductive appearances and overflowing passion for cartography, by dint of instant accessibility to all kind of maps and any graphic representations commonly called ‘maps’ and finally by dint of confusions between what is an IMAGE and what is a DATA, everyone forgets that, at the dawn of a cartographic project, ‘THE MAP STILL DOESN’T EXIST’. For it to exist, a scope of collective work and essential skills are necessary. First of all, the aim of a mapping project must be identified. Its specifications, statement of requirements, its schedule of conditions must be sealed by a contract between an orderer and a cartographer.The objective of this presentation is to recall how a keyboard is neither a magic thought nor a magic wand. Clicking on it will never finalize our work without us, cartographers, but engages us to follow series of timeless execution process over the entire duration of the cartographic production, in anticipating each action.Our work consists in making every effort, by all the necessary technical and human means, to gather the knowledge of a subject (or several) to ‘Map-draw’ with the ultimate goal of returning this acquired knowledge to the readers. Their eye has to find at first glance the information sought. Indeed, the more beautiful and easier to grasp the map is, the more it will be consulted with pleasure.Through a range of cartographic memories, the following characteristic examples of out-of-standard cartographic productions will detail the pertinence of this meticulous cartographical articulation.

PIONEERED: Elaborating the link between social and educational policies for tackling educational inequalities in Europe

Although a number of policies tackling educational inequalities have been introduced in recent decades in Europe, educational inequalities exist to a varying extent both in different sub- and supranational contexts. In this article, we address the link between social and educational policies with respect to educational inequalities. Educational policies aim to guarantee opportunities throughout educational trajectories and beyond. They pertain to all areas and the entire duration of the human life. Our contribution to socialpolicy.ch introduces the ongoing Horizon 2020 project PIONEERED on educational inequalities by elaborating on the social problems behind those disparities, and by outlining the project’s conceptual and methodological approaches that join together multilevel, intersectional and life-course perspectives.

Management of COVID-19 Pandemic Data in India: Challenges Faced and Lessons Learnt

COVID-19 is an ongoing pandemic, which has already claimed millions of lives worldwide. In the absence of prior information on the pandemic, the governments can use generated testing data to drive policy decisions. Thus, a one-stop repository is essential to ensure sharing of clean, de-duplicated, and updated records to all the stakeholders. In India, the government initiated the testing through a network of VRDLs headed by the Indian Council of Medical Research (ICMR). Initially, the generated data were captured and shared in Excel sheets. As the number of cases increased, there was a need for a data management system to ensure reliable and up-to-date data to drive policy decisions. Thus, the data management team at ICMR initiated the development of a national COVID-19 testing data management tool that is currently maintaining all the data in a central hub. The first version of the tool was released in March 2020 and was subsequently modified with the changing testing guidelines and strategies. On completing one and a half years of managing the data and collecting approximately 550 million records, the team analyzed the challenges faced and the strategies used to ensure a seamless flow of data to the system and its real-time analysis. In this study, the entire duration of the pandemic has been divided into four different phases based on the resourcefulness of the country. Since the pandemic is currently ongoing, this study can be useful for countries in a different phase of pandemic facing similar challenges.

Good manufacturing practice- and good distribution practice-compliant cold storage and refrigerated transport of allergen products: what is important?

Background All currently available products for diagnosis and therapy of type I allergies are protein extracts from allergenic source material. The extracted proteins have different properties and their structure is differently labile to temperature variations. Despite various pharmaceutical formulations to increase product stability, with few exceptions, allergen products must be refrigerated to ensure that their quality and native protein structure do not change during storage and transport. Maintaining quality is a challenge in complex distribution chains. Methods Regulatory requirements and guidelines that apply to cold storage and transport of allergen products are summarized and the responsibilities of the stakeholders are explained. Results The storage conditions determined in stability studies correspond to the transport conditions. These stability data can also be used to assess tolerable conditions during transport. According to a good distribution practice (GDP) contracts must be concluded between the responsible pharmaceutical entrepreneur and the qualified distribution service provider that regulate storage and transport in accordance with the product requirements. Conclusion Monitoring of storage and transport conditions is achieved by transport in qualified means of transport (e.g. truck). Alternatively, qualified transport packaging with active or passive cooling (e.g. cold packs) and qualified “data loggers” that record the transport temperatures can be used. Regardless of the system used, it must be demonstrated—by validating the transport conditions, routes and packaging at different times of the year and over the entire duration of transport—that regulatory requirements are met and that the quality of the products is maintained during shipment.

Modeling and transportation planning for US noncombatant evacuation operations in South Korea

Purpose: The purpose of this paper is to investigate US noncombatant evacuation operations (NEO) in South Korea and devise planning and management procedures that improve the efficiency of those missions. Design/methodology/approach: It formulates a time-staged network model of the South Korean noncombatant evacuation system as a mixed integer linear program to determine an optimal flow configuration that minimizes the time required to complete an evacuation. This solution considers the capacity and resource constraints of multiple transportation modes and effectively allocates the limited assets across a time-staged network to create a feasible evacuation plan. That solution is post-processed and a vehicle routing procedure then produces a high resolution schedule for each individual asset throughout the entire duration of the NEO. Findings: This work makes a clear improvement in the decision-making and resource allocation methodology currently used in a NEO on the Korea peninsula. It immediately provides previously unidentifiable information regarding the scope and requirements of a particular evacuation scenario and then produces an executable schedule for assets to facilitate mission accomplishment. Originality/value: The significance of this work is not relegated only to evacuation operations on the Korean peninsula; there are numerous other NEO and natural disaster related scenarios that can benefit from this approach.

COVID-19 in Slovenia, from a Success Story to Disaster: What Lessons Can Be Learned?

During the first wave of the COVID-19 pandemic in spring 2020, Slovenia was among the least affected countries, but the situation became drastically worse during the second wave in autumn 2020 with high numbers of deaths per number of inhabitants, ranking Slovenia among the most affected countries. This was true even though strict non-pharmaceutical interventions (NPIs) to control the progression of the epidemic were being enforced. Using a semi-parametric Bayesian model developed for the purpose of this study, we explore if and how the changes in mobility, their timing and the activation of contact tracing can explain the differences in the epidemic progression of the two waves. To fit the model, we use data on daily numbers of deaths, patients in hospitals, intensive care units, etc., and allow transmission intensity to be affected by contact tracing and mobility (data obtained from Google Mobility Reports). Our results imply that though there is some heterogeneity not explained by mobility levels and contact tracing, implementing interventions at a similar stage as in the first wave would keep the death toll and the health system burden low in the second wave as well. On the other hand, sticking to the same timeline of interventions as observed in the second wave and focusing on enforcing a higher decrease in mobility would not be as beneficial. According to our model, the ‘dance’ strategy, i.e., first allowing the numbers to rise and then implementing strict interventions to make them drop again, has been played at too-late stages of the epidemic. In contrast, a 15–20% reduction of mobility compared to pre-COVID level, if started at the beginning and maintained for the entire duration of the second wave and coupled with contact tracing, could suffice to control the epidemic. A very important factor in this result is the presence of contact tracing; without it, the reduction in mobility needs to be substantially larger. The flexibility of our proposed model allows similar analyses to be conducted for other regions even with slightly different data sources for the progression of the epidemic; the extension to more than two waves is straightforward. The model could help policymakers worldwide to make better decisions in terms of the timing and severity of the adopted NPIs.

Predicting Outcome in an Intensive Outpatient PTSD Treatment Program Using Daily Measures

It is useful to investigate factors that could predict treatment outcomes for PTSD. The current study aims to investigate the relationship between daily measured PTSD symptoms during an intensive six-day treatment program and overall post-treatment outcomes. The treatment program combines eye movement desensitization with reprocessing and prolonged exposure, as well as physical activity and psychoeducation. It was expected that for the entire duration of treatment, as well as the first half of the treatment, a greater decline in daily PTSD symptoms would be a predictor for a greater decline in PTSD symptoms at a four-week follow-up. Data from 109 PTSD-patients (87.2% female, mean age = 36.9, SD = 11.5) were used. PTSD symptoms were measured with the CAPS-5 and the self-reported PTSD checklist for DSM-5 (PCL-5). Daily PTSD symptoms were measured with an abbreviated version of the PCL-5 (8-item PCL). Latent growth curve models were used to describe changes in daily PTSD symptoms and predict treatment outcome. Results show that a greater decline in daily PTSD symptoms measured by the 8-item PCL predicts better treatment outcome (CAPS-5 and PCL-5), but that a patient’s PTSD symptoms on the first day of treatment has no predictive effect. A decline in PTSD symptoms only during the first half of treatment was also found to predict treatment outcomes. Future research should be focused on replicating the results of the current study.