A survey of lifespans in Oribatida excluding Astigmata (Acari)

This contribution provides an update on the duration of life cycles and lifespans of oribatid mites based on a literature review. The total lifespan is the sum of the immature developmental time (egg to adult) and the longevity of the adult. Most investigations were carried out in the laboratory, few were performed in the field, under field conditions and/or compared with field data. Many life cycles were investigated under different environmental influences. The life cycles of 144 oribatid species are listed. Compared with the total number of known oribatid species, this number is very low. Data for the total lifespan are given for 52 species, either from observations in the laboratory or estimated in comparison with field studies, but can only be guesses of the real lifespan. The typical lifespan of an oribatid species in temperate or boreal regions lasts between 1 and 2 years, rarely 3 years. The few investigated tropical species from laboratory experiments show generally faster development and shorter lifespans as species from temperate regions; no field studies have been carried out in the tropics yet. Long lifespan periods of 5 to 8 years are particularly characteristic of species in polar regions and in mountainous temperate regions. Some examples of species with different longevity in distinct climate regions, very long lifespans and change of life parameters under stressful laboratory conditions are presented.

Diabetic kidney disease in children and adolescents: an update

Diabetic kidney disease (DKD), previously encountered predominantly in adult patients, is rapidly gaining center stage as a childhood morbidity and one that pediatric nephrologists are likely to encounter with increasing frequency. This is in large part due to the obesity epidemic and the consequent rise in type 2 diabetes in children and adolescents, as well as the more aggressive diabetes phenotype in today’s youth with more rapid β-cell decline and faster development and progression of diabetes-related complications along with lower responsiveness to the treatments used in adults. DKD, an end-organ complication of diabetes, is at the very least a marker of, and more likely a predisposing factor for, the development of adverse cardiovascular outcomes and premature mortality in children with diabetes. On an optimistic note, several new therapeutic approaches are now available for the management of diabetes in adults, such as GLP1 receptor agonists, SGLT2 inhibitors, and DPP4 inhibitors, that have also been shown to have a favorable impact on cardiorenal outcomes. Also promising is the success of very low-energy diets in inducing remission of diabetes in adults. However, the addition of these pharmacological and dietary approaches to the management toolbox of diabetes and DKD in children and adolescents awaits thorough assessment of their safety and efficacy in this population. This review outlines the scope of diabetes and DKD, and new developments that may favorably impact the management of children and young adults with diabetes and DKD.

IoT Serverless Computing at the Edge: Open Issues and Research Direction

Novel computing paradigms aim to enable better hardware utilization, allowing a greater number of applications to be executed on the same physical resources. Serverless computing is one example of such an emerging paradigm, enabling faster development, more efficient resource usage, as well as no requirements for infrastructure management by end users. Recently, efforts have been made to utilize serverless computing at the network edge, primarily focusing on supporting Internet of Things (IoT) workloads. This study explores open issues, outlines current progress, and summarizes existing research findings about serverless edge computing for IoT by analyzing 67 relevant papers published between 01.01.2015 and 01.09.2021. We discuss the state-of-the-art research in 8 subject areas relevant to the use of serverless at the network edge, derived through the analysis of the selected articles. Results show that even though there is a noticeable interest for this topic, further work is needed to adapt serverless to the resource constrained environment of the edge.

Family farm and income support policies

Family farms are the main form of organization in agriculture and play an essential role in the development of rural areas. One of the main characteristics of the family farms is that the members of the households work in them. The purpose of the study is, based on an analysis of a real farm and the impact of direct support on family income, to draw recommendations for policy development in this direction. In order to achieve this goal, an economic-mathematical model was developed, and eight scenarios with different levels of support were examined. The main conclusion is that the farm could operate without receiving support because the income generated by this scenario is sufficient to provide an average standard of living for the family. However, CAP support helps its faster development.

Sugars Replacement as a Strategy to Control the Formation of α-Dicarbonyl and Furanic Compounds during Cookie Processing

In the last decade, several preventive strategies were considered to mitigate the chemical hazard accumulation in food products. This work aimed to study the effect of different sugars on the development of the main chemical hazard in cookies. For this purpose, model biscuits prepared using sucrose, fructose, and glucose were baked at different temperatures (150, 170, and 190 °C) and for different times (from 5 to 45 min), and the levels of α-dicarbonyl compounds, such as 3-deoxyglucosone (3-DG), glyoxal (GO) and methylglyoxal (MGO), 5-hydroxymethylfurfural (HMF), and furanic aromatic compounds were monitored. The replacement of sucrose in the cookie recipes with monosaccharides had as a consequence the highest accumulation of 3-DG (200–600 times higher), MGO, HMF, and furanic volatile compounds, while the use of sucrose allowed for maintaining the 3-DG, MGO, and HMF levels at less than 10 mg/kg dry matter in cookies for the estimated optimal baking time. Moreover, cookies with sucrose were characterised in terms of volatile compounds, mainly in terms of lipid oxidation products, while cookies with fructose or glucose baked at the highest temperature were characterised almost exclusively by Maillard reaction products, confirming a faster development of this reaction during baking at the studied temperatures.

Simpler and Faster Development of Tumor Phylogeny Pipelines

In the recent years there has been an increasing amount of single-cell sequencing (SCS) studies, producing a considerable number of new datasets. This has particularly affected the field of cancer analysis, where more and more papers are published using this sequencing technique that allows for capturing more detailed information regarding the specific genetic mutations on each individually sampled cell. As the amount of information increases, it is necessary to have more sophisticated and rapid tools for analyzing the samples. To this goal we developed *plastic*, an easy-to-use and quick to adapt pipeline that integrates three different steps: (1) to simplify the input data; (2) to infer tumor phylogenies; and (3) to compare the phylogenies. We have created a pipeline submodule for each of those steps, and developed new in-memory data structures that allow for easy and transparent sharing of the information across the tools implementing the above steps. While we use existing open source tools for those steps, we have extended the tool used for simplifying the input data, incorporating two machine learning procedures --- which greatly reduce the running time without affecting the quality of the downstream analysis. Moreover, we have introduced the capability of producing some plots to quickly visualize results.

Migration Issues in Cloud Computing

Cloud computing rules in the new digital transformation world and gets wide acceptance in the field of business. The cloud can solve many problems like scalability of the business, flexibility of the business, cost and performance that may come across while running an enterprise. In fact, by digital transformation, fixed costs may get reduced, a more flexible allocation of resources is possible, faster development of the enterprise is resulted, worldwide reach is through the cloud highly appreciable, a safer change control process, and faster time-to-market with objectively better products. Even though it promises many benefits, it is not an easy task to migrate to cloud platform from a current conventional business platform. Cloud migration introduces its own issues. While looking for migrating business from on-premises to cloud, many challenges should be kept in mind for successful migration. Keywords: Cloud migration, digital transformation

Towards a model-driven approach for multiexperience AI-based user interfaces

Software systems start to include other types of interfaces beyond the “traditional” Graphical-User Interfaces (GUIs). In particular, Conversational User Interfaces (CUIs) such as chat and voice are becoming more and more popular. These new types of interfaces embed smart natural language processing components to understand user requests and respond to them. To provide an integrated user experience all the user interfaces in the system should be aware of each other and be able to collaborate. This is what is known as a multiexperience User Interface. Despite their many benefits, multiexperience UIs are challenging to build. So far CUIs are created as standalone components using a platform-dependent set of libraries and technologies. This raises significant integration, evolution and maintenance issues. This paper explores the application of model-driven techniques to the development of software applications embedding a multiexperience User Interface. We will discuss how raising the abstraction level at which these interfaces are defined enables a faster development and a better deployment and integration of each interface with the rest of the software system and the other interfaces with whom it may need to collaborate. In particular, we propose a new Domain Specific Language (DSL) for specifying several types of CUIs and show how this DSL can be part of an integrated modeling environment able to describe the interactions between the modeled CUIs and the other models of the system (including the models of the GUI). We will use the standard Interaction Flow Modeling Language (IFML) as an example “host” language.