Miracle-dz/UniFAR-FTUs huggingface dataset:
A Generalized Framework for Optimal Sizing of Distributed Energy Resources in Micro-Grids Using an Indicator-Based Swarm Approach

In this paper, a generalized double-shell framework for the optimal design of systems managed optimally according to different criteria is developed. Optimal design is traditionally carried out by means of minimum capital and management cost formulations and does not typically consider optimized operation. In this paper, the optimized multiobjective management is explicitly considered into the design formulation. The quality of each design solution is indeed defined by the evaluation of operational costs and capital costs. Besides, the assessment of the operational costs term is deduced by means of the solution of a multiobjective optimization problem. Each design solution is evaluated using the outcomes of a multiobjective optimization run: a Pareto hyper-surface in the n-dimensional space of the operational objectives. In the literature, commonly the evaluation of each design solution is carried out based on an approximate evaluation of the operational costs, not considering the real multiobjective optimized management. In this paper, such assessment is carried out using a suitable convergence indicator typically used for multiobjective optimization algorithms. The application is devoted to the problem of optimal sizing of distributed energy resources in medium voltage or low voltage microgrids. For this problem, the identification of the multiple operational impacts comes along with the solution of the optimal unit commitment of distributed generators. After the introductory section, the problem formulation is presented and an interesting application of the considered approach to the design of distributed energy sources in a microgrid is shown.
A framework for childhood obesity classifications and predictions using NBtree

Obesity is a common issue nowadays. The numbers of obese people are increasing every year. There are evidences that childhood obesity persists into adulthood. Predicting obesity at an early age is both useful and important because preventive measures and proper interventions can be applied if the children indicated a high risk of obesity. However, the prediction of childhood obesity is a difficult task. Many ways and techniques such as assessment of body composition, data mining techniques, and logistic regression have been applied to predict childhood obesity, but only a few managed to produce accurate results. The numbers of efforts on childhood obesity prediction need to be increased and the techniques used should be improvised. The initial stage of this study involves collecting data from primary sources: parents, children and caretaker. Then, we identify risk factors such as parental obesity and education, children lifestyle and habits, and environment influences, and proposes a framework of childhood obesity prediction using NBtree.
Distributed Energy Resource Allocation and Dispatch: An Economic and Technological Perception

Despite the recent easing of electricity wholesale prices, the absolute level of on-peak electricity prices for most markets is tremendously high. The German on-peak electricity wholesale price is about 290% higher than six years ago, which has resulted in tariff hikes. These tariff hikes burden economies worldwide and result in higher inflation or economic cool down. The first part of this paper focuses on market power and the amplified price spikes during on-peak hours especially. A simple model is presented that is able to describe the strategic behaviour of similar market players during on-peak and off-peak hours. Furthermore, the work shows in an easy way how consumers can mitigate market power by creating a short-term demand curve due to load-management programs. We conclude that for a sustainable electricity system without unusually high price spikes, a consideration of the short-term demand curve by using automated systems is important. It is necessary to introduce a technical infrastructure that makes unused load shift potential accessible and gives consumers the possibility to respond to price spikes easily in the short term without sacrificing comfort or services. We present a new automated approach to create such a short-term demand curve. The proposed Integral Resource Optimization Network (IRON) indicates a robust and distributed automation network for the optimization of distributed energy supply and usage. We describe a basic generic model for load shifting, which allows describing a collective storage management in an easy way. Furthermore, the first real implementation result of the research is presented–the so-called IRON-Box, a hardware interface that realises the interface between load resources and the IT infrastructure.
Affect at the different phases of cognitive behavioral therapy : An evaluation of psychotherapy provided by candidates

The purpose of this study was to investigate the affect, as measured by “Positive and Negative Affect Schedule” (PANAS), its influence on psychopathology, and to examine the effect of changing affect during cognitive behavioral therapy (CBT). The study was carried out at the psychotherapy training center, Karlstad University. The hypothesis was whether clients with mental disorders have a self-destructive affective personality (low PA and high NA) and healthy individuals have a self-actualizing personality (high PA and low NA). Thirty-two healthy participants and 44 clients participated in the study. The clients were asked to fill in the PANAS once throughout CBT, either during evaluation, treatment or finishing phase, accordingly there were three different groups at different therapy phases. The healthy subjects were also asked to fill in the self-report scale once. The comparison of the three phases of therapy and the four affective personality types showed a significant difference between the phases of therapy and the four affective personality types: totally 16 (of 22) and eight (of nine) clients measured at the evaluation and treatment phases, respectively, had a self-destructive personality. However, at the end of therapy five (of 13) clients had a self-actualizing personality characteristics, while only three of them were self-destructive. Furthermore, the results indicate that affective personality does not seem to be a basic and stable personality trait, which could be altered by therapy. The affections measured by PANAS may be influenced by psychopathology and CBT, when conducted by candidate therapists it can be effective in terms of affect changes.
Playing with Boolean Blocks , Part II : Constraint Satisfaction Problems 1

In the previous column we played with Boolean functions as “building blocks” in the construction of switching circuits. In the meantime we got to know a child, having a great collection of essentially the same blocks. However, during her construction process she uses the blocks in a completely different way than we do: she uses Boolean functions not to build switching circuits but to formulate queries to a database. Nevertheless our games are closely related and there is a bridge to connect them. Therefore we will tell you more about the new game and the connection in this issue. Every Boolean function trivially defines a Boolean relation. The relation is the set of all tuples, for which the function-value is 1. For instance the 2-ary Boolean or -function defines the relation {(0, 1), (1, 0), (1, 1)}. Instead of asking whether a function maps an input-tuple to 1, we now ask whether it belongs to the relation. That means that each n-ary relation is a constraint on the set of all n-tuples. This leads us to the rich field of “constraint satisfaction”, which has numerous applications in computer science (database querying, circuit design, network optimization, scheduling, logic programming), artificial intelligence (planning, belief maintenance, languages for knowledge based systems), and computational linguistics (processing of natural languages) [Kol03]. In the world of Boolean constraint satisfaction we start with a box that contains Boolean constraints. There is only a finite number of different constraint types in the box, but of each type we have an infinite number of “copies”. Now we want to combine them in order to get new constraints. First fix a set of constraints. We build a new constraint as follows: Make a list of constraints which are taken out of the fixed set. Check for each suitable Boolean tuple whether it fulfills all constraints of the list. If this is the case the tuple fulfills the newly built constraint. What does that mean? This means that we simply connect the constraints using “and”. In this context one important problem is to check whether a collection of constraints does not define the empty relation. Suppose we have built a constraint as explained out of a finite set of Boolean relations S (such a constraint is considered as a formula in generalized conjunctive normal form, a so called S-formula or CNF(S)), then this problem is known as generalized satisfiability problem, denoted by SAT(S), and was first investigated by Thomas Schaefer in 1978. Here we are interested in the complexity of SAT(S). It turns out that its complexity can be characterized by the set of so called closure properties of S, which is the set of functions f of arity m such that if we apply f coordinatewise to m vectors of any relation R from S, then the result is again in R. This correspondence is obtained through a generalization of Galois theory. Since this set of closure properties—a set of Boolean functions—is a clone, we have now a connection between the complexity of Boolean
" SED QUIS CUSTODIENT IPSOS CUSTODES ? "

I The New Cybernetics (that is, the Cybernetics of Cybernetics, or second-order Cybernetics (eg von Foerster (1974) (1980)) is to be assumed. Without it, there IS no Cybernetics. The argument is not to be presented here, although this is its characterisation. By now, it should be self-evident. We draw distinctions (Spencer Brown (1969)): the drawing of such distinctions, no matter what euphemisms we choose, creates me (I, the observer, the self) and the other. How this happens, the agency of drawing distinctions, is beyond cognition, for only when the distinction is drawn is there a cognitive entity.
SecureMyDroid: enforcing security in the mobile devices lifecycle

Due to the extensive growth and diffusion of mobile devices (e.g., Smartphone, PDAs, mobile phones, etc.), and to their powerful capabilities, many users are massively using mobile devices both for personal and for work-related (corporate) activities. This poses serious threats to the security of such devices. In this paper, we propose a novel approach, based on the definition of a secure lifecycle for mobile devices, in order to extend corporate security policies to such devices. We focus on a new perspective that allows us to apply strong security policies and services enforcement to mobile devices. The approach proposed leverages on a customized release of the mobile device Operating System (OS). In particular, we present a prototype (called SecureMyDroid) of a secure mobile device based on a customized release of the Google Android operating system. One of the strong features of this prototype lies in the capability of fully customizing the operating environment of mobile devices. This prevents most of the tampering that is still practicable for devices that have been personalized through the installation of customized applications such as antimalware, antivirus, etc.
Fast Execution of Simultaneous Breadth-First Searches on Sparse Graphs

The construction of efficient parallel graph algorithms is important for quickly solving problems in areas such as urban planning, social network analysis, and hardware verification. Existing GPU implementations of graph algorithms tend to be monolithic and thus contributions from the literature are typically rebuilt rather than reused. Recent work has focused on traversal-based abstractions that efficiently execute a single breadth-first search or enact algorithms in the &ldquo;think like a vertex&rdquo; paradigm. However, graph analytics such as the all-pairs shortest paths problem, diameter computations, betweenness centrality, and reachability querying require the execution of many such graph traversals. Typically, these traversals are independent of one another and can thus be executed in parallel. This paper presents multi-search, a simple abstraction that is designed for graph algorithms requiring many breadth-first searches that can be executed simultaneously. Although algorithms have implicitly leveraged this abstraction in the past, we provide an explicit, reusable implementation that efficiently maps this abstraction to the GPU, performing more than twice as fast as previous approaches on large graphs of varying diameter. This approach allows us to scale our APSP implementation to graphs with millions of vertices using a single GPU whereas prior approaches were either constrained to much smaller graph instances or required large supercomputers to process graphs of similar size. To show the flexibility of our abstraction, we use it to express betweenness centrality and achieve more than a 5.82x average speedup over parallel CPU implementations from existing frameworks and a 2.24x average speedup over a manual, highly optimized GPU implementation of the algorithm.
Molecular Determinants of AHPN (CD437)-Induced Growth Arrest and Apoptosis in Human Lung Cancer Cell Lines

ABSTRACT 6-[3-(1-Adamantyl)-4-hydroxyphenyl]-2-naphthalene carboxylic acid (AHPN or CD437), originally identified as a retinoic acid receptor γ-selective retinoid, was previously shown to induce growth inhibition and apoptosis in human breast cancer cells. In this study, we investigated the role of AHPN/CD437 and its mechanism of action in human lung cancer cell lines. Our results demonstrated that AHPN/CD437 effectively inhibited lung cancer cell growth by inducing G0/G1 arrest and apoptosis, a process that is accompanied by rapid induction of c-Jun, nur77, and p21 WAF1/CIP1 . In addition, we found that expression of p53 and Bcl-2 was differentially regulated by AHPN/CD437 in different lung cancer cell lines and may play a role in regulating AHPN/CD437-induced apoptotic process. On constitutive expression of the c-JunAla(63,73) protein, a dominant-negative inhibitor of c-Jun, in A549 cells, nur77 expression and apoptosis induction by AHPN/CD437 were impaired, whereas p21 WAF1/CIP1 induction and G0/G1 arrest were not affected. Furthermore, overexpression of antisense nur77 RNA in A549 and H460 lung cancer cell lines largely inhibited AHPN/CD437-induced apoptosis. Thus, expression of c-Jun and nur77 plays a critical role in AHPN/CD437-induced apoptosis. Together, our results reveal a novel pathway for retinoid-induced apoptosis and suggest that AHPN/CD437 or analogs may have a better therapeutic efficacy against lung cancer.
Elementary Properties of Axonal Calcium Currents in Type B Photoreceptors in Hermissenda crassicornis

Axons of the type B photoreceptors form synapses with hair cells and interneurons that are involved in classical conditioning inHermissenda. We examined the differences in the Ca2+ channels expressed in the soma and axons of the B photoreceptors by direct functional recordings of single-channel currents. Although the soma of the B cells express two Ca2+ current subtypes, a transient BayK 8644-insensitive (∼17 pS) current and a sustained BayK 8644-sensitive (∼10 pS) current, the axons expressed only the latter. The axonal Ca2+ current activated at potentials positive to −20 mV. Moreover, the Ca2+ channels are distributed heterogeneously along the length of the axon, with the higher channel density (∼10–15 channel μm−2) occurring at the distal one-third of the isolated axons, with respect to the soma. The regions of Ca2+ channel clusters may represent the presynaptic site of the photoreceptor–interneuron synapses. Furthermore, the high-density clusters of Ca2+channels may augment postsynaptic responses. The results of the present study represent the first direct recordings of Ca2+currents at presumed synaptic sites. Expression of different Ca2+ channel subtypes at distinct compartments of the type B photoreceptors may generate diverse Ca2+domains that may be required for neuronal plasticity inHermissenda.
Development and Validation of a Single-Tube Multiple-Locus Variable Number Tandem Repeat Analysis for Klebsiella pneumoniae

Genotyping of Klebsiella pneumoniae is indispensable for management of nosocomial infections, monitoring of emerging strains –including extended-spectrum beta-lactamase (ESBL) producers-, and general epidemiology. Such objectives require a high-resolution genotyping method with a fixed scheme that allows (1) long-term retrospective and prospective assessment, (2) objective result readout and (3) library storage for database development and exchangeable results. We have developed a multiple-locus variable number tandem repeat analysis (MLVA) using a single-tube fluorescently primed multiplex PCR for 8 Variable Number Tandem Repeats (VNTRs) and automated fragment size analysis. The type allocation scheme was optimized using 224 K. pneumoniae clinical isolates, which yielded 101 MLVA types. The method was compared to the gold standard multilocus sequence typing (MLST) using a subset of these clinical isolates (n = 95) and found to be highly concordant, with at least as high a resolution but with considerably less hands-on time. Our results position this MLVA scheme as an appropriate, high-throughput and relatively low-cost tool for K. pneumoniae epidemiology.
Electric/magnetic duality for chiral gauge theories with anomaly cancellation

We show that 4D gauge theories with Green-Schwarz anomaly cancellation and possible generalized Chern-Simons terms admit a formulation that is manifestly covariant with respect to electric/magnetic duality transformations. This generalizes previous work on the symplectically covariant formulation of anomaly-free gauge theories as they typi- cally occur in extended supergravity, and now also includes general theories with (pseudo- )anomalous gauge interactions as they may occur in global or local N = 1 supersymmetry. This generalization is achieved by relaxing the linear constraint on the embedding tensor so as to allow for a symmetric 3-tensor related to electric and/or magnetic quantum anomalies in these theories. Apart from electric and magnetic gauge fields, the resulting Lagrangians also feature two-form fields and can accommodate various unusual duality frames as they often appear, e.g., in string compactifications with background fluxes.
Reproductive Ecology of Male and Female Strobili and Mating System in Two Different Populations of Pinus roxburghii

We studied several flowering traits, namely, male-female cone phenology, male-female cone production per tree, mating system, sex ratio, air-borne pollen grains and pollen migration, over four successive years in two different natural populations of P. roxburghii from Garhwal Himalaya, India. Assessment of each trait mentioned except pollen dispersion was done by selecting five representative trees randomly in each population. The pollen migration was studied on naturally isolated source trees. The pollen trapping was done in all directions up to 2.5 km. The average reproductive period in P. roxburghii was 36 days with 3–5 days protandry. There were significant year and population effects for male and female cone output and pollen grains production per tree. In mass production year (1999), an average production of pollen cone per tree was estimated as 42.44 ± 8.32 × 103 at lower altitude and 28.1 ± 0.89 × 103 at higher altitude. The controlled pollination results in high level of outcrossing with 90% seed setting. We conclude that the high male-female ratio and tremendous pollen production capacity in P. roxburghii indicate high male competition among trees within populations. The isolation strip of 600 m is considered minimal for the management of seed orchard.
Fundamental tools and resource are available for Vietnamese analysis

This paper presents our work on developing Vietnamese fundamental tools and a resource for analysis. These tools are for word segmentation and part-of-speech tagging, diacritics restoration, and orthographical variants dictionary. All of them have been either not publicly available so far or not attaining sufficient performance. We have developed the tools and released the tools to the public, in both software packages and web tools. For development, we utilize state-of-the-art methods and achieved high accuracy. We briefly present the tasks, the methods and the performance of each tool and resource.
Quantum Dot- Conjugated Anti-GRP78 scFv Inhibits Cancer Growth in Mice

Semiconductor quantum dots (Qdots) have recently been shown to offer significant advantages over conventional fluorescent probes to image and study biological processes. The stability and low toxicity of QDs are well suited for biological applications. Despite this, the potential of Qdots remains limited owing to the inefficiency of existing delivery methods. By conjugating Qdots with small antibody fragments targeting membrane-bound proteins, such as GRP78, we demonstrate here that the Quantum dot- Anti-GRP78 scFv (Qdot-GRP78) retains its immunospecificity and its distribution can be monitored by visualization of multi-color fluorescence imaging both in vitro and in vivo. Moreover we demonstrate here for the first time that Qdot-GRP78 scFv bioconjugates can be efficiently internalized by cancer cells, thus upregulate phophosphate-AKT-ser473 and possess biological anti-tumour activity as shown by inhibition of breast cancer growth in a xenograft model. This suggests that nanocarrier-conjugated scFvs can be used as a therapeutic antibody for cancer treatment.
Development of a Serological Assay Based on a Synthetic Peptide Selected from the VP0 Capsid Protein for Detection of Human Parechoviruses

ABSTRACT A serological enzyme-linked immunosorbent assay was developed using a synthetic peptide from the VP0 protein of human parechoviruses (HPeVs). Seroprevalence for HPeVs was 70% in children of ≤5 years of age and 95% in adults. For children from whom serial sera were sampled, seropositivity increased from 22% to 88% between 2 and 24 months of age.
Applying fingerprint multilateration to population dynamics in Prisoner's Dilemma simulations

By combining two techniques: fingerprinting, which turns a game-playing strategy into a representation-independent functional summary of its behaviour, and multilateration, which finds the location of a point in space using measured distances to a known set of anchor points, we develop a tool for automatically analyzing evolved Prisoner's Dilemma agents. Using as anchor points the space of all deterministic 2-state transducers, we can place arbitrary strategies into 7-dimensional real space by numerical integration and solving linear equations, which is fast enough to be usable online. We present several proof-of-concept visualizations, including individual strategies in populations, and population trajectories over time, which are now accessible.