Miracle-dz/UniFAR-FTUs huggingface dataset:
Context‐aware resource management and alternative pricing model to improve enterprise cloud adoption

Existing Cloud resource management approaches favor Cloud service providers because of their data‐center origin. The onus of efficiently managing the resources is on the end‐user. Present provisioning/deprovisioning methods and the pricing model could be modified to ensure that the end‐user reaps the benefits. The current study proposes a context‐aware Cloud resource management approach based on a workload‐type provisioning and a just‐in‐time deprovisioning design. Furthermore, it also recommends an alternative pricing model. The design intends to provision/deprovision individual resources like CPU, memory, and so on, according to the workload‐type rather than instance‐type as done in existing Cloud resource management approaches. The proposed approach was commissioned on a private lab infrastructure and several experiments were conducted. It was observed that the proposed approach was able to detect sample workload types with an average sensitivity of 82% and specificity of 76%. The average cost of the proposed approach was found to be 20% less than the present approach.
Feature Engineering and Stacked Echo State Networks for Musical Onset Detection

In music analysis, one of the most fundamental tasks is note onset detection - detecting the beginning of new note events. As the target function of onset detection is related to other tasks, such as beat tracking or tempo estimation, onset detection is the basis for such related tasks. Furthermore, it can help to improve Automatic Music Transcription (AMT). Typically, different approaches for onset detection follow a similar outline: An audio signal is transformed into an Onset Detection Function (ODF), which should have rather low values (i.e. close to zero) for most of the time but with pronounced peaks at onset times, which can then be extracted by applying peak picking algorithms on the ODF. In the recent years, several kinds of neural networks were used successfully to compute the ODF from feature vectors. Currently, Convolutional Neural Networks (CNNs) define the state of the art. In this paper, we build up on an alternative approach to obtain a ODF by Echo State Networks (ESNs), which have achieved comparable results to CNNs in several tasks, such as speech and image recognition. In contrast to the typical iterative training procedures of deep learning architectures, such as CNNs or networks consisting of Long-Short-Term Memory Cells (LSTMs), in ESNs only a very small part of the weights is easily trained in one shot using linear regression. By comparing the performance of several feature extraction methods, pre-processing steps and introducing a new way to stack ESNs, we expand our previous approach to achieve results that fall between a bidirectional LSTM network and a CNN with relative improvements of 1.8 % and −1.4 %, respectively. For the evaluation, we used exactly the same 8-fold cross validation setup as for the reference results.
Influence of Mixing on Quality of Gluten‐Free Bread

Interest in research into gluten-free bakery products has been increasing in recent years. In this paper, we have focused on the effect of mixing on two different gluten-free bread formulas (80 and 110% hydration), studying bread quality parameters. In less hydrated breads, no significant differences were found depending on the mixing arm (flat beater or dough hook), but mixing time influenced the specific volume of bread, being these higher while mixing time increased. Both mixer arm and mixing speed were found to have a significant effect on bread volume and texture in more hydrated dough, achieving higher specific volumes and softer breads with the wire whip compared with the flat beater, with lower mixing speeds and longer mixing time. In more hydrated breads, proofing time improved bread specific volume, but in less hydrated breads the effect was the opposite. This effect was remarked in longer mixing times. Practical Applications This paper demonstrates the importance of mixing time and the type of mixer device in gluten-free bread making, something not studied so far. It also shows that this influence is different from which gluten-bread kneading has, where the mechanical work is essential for the development of the protein network. Based on the results of this study, the mixing process of the gluten-free elaborations can be optimized, allowing obtaining breads with higher volume and lower hardness, therefore increasing the final quality of the bread, one of the major problems of the gluten-free breads.
Modeling of Nonhydrostatic Dynamics and Hydrology of the Lombok Strait

The long-wave dynamics of the Lombok Strait, which is the most important link of the West Indonesian throughflow connecting the Pacific and Indian Ocean waters, was simulated and analyzed. A feature of the strait is its extremely complex relief, on which water transport creates a field of pronounced vertical velocities, which requires consideration of the nonhydrostatic component of pressure. The work presents a 3-D nonhydrostatic model in curvilinear coordinates, which is verified on a test problem. Particular attention is paid to the method of solving the 3-D elliptical solver for a nonhydrostatic problem in boundary-matched coordinates and a vertical σ level. The difference in transport through the Lombok Strait is determined by the difference in atmospheric pressure over the Pacific and Indian Oceans. Based on the results of the global simulation, the role of these factors in terms of their variability is analyzed, and the value of nonhydrostatic pressure in the dynamics of the Lombok Strait is revealed and evaluated. The vertical dynamics of the Lombok Strait are considered in detail based on hydrostatic and nonhydrostatic approaches.
Bioaccessibility of contaminants from ingested soil in humans: method development and research on the bioaccessibility of lead and benzo[a]pyrene

Bij risicoschatting van oraal ingenomen stoffen is vaak onbekend hoeveel van deze stof wordt opgenomen door het menselijk lichaam. Dit geldt ook voor contaminanten in bodem. Meestal wordt de orale biobeschikbaarheid van een contaminant uit bodem gelijkgesteld aan de orale biobeschikbaarheid van die contaminant uit de matrix van ingestie bij toxiciteitstudies, welke meestal voedsel of vloeistof is. Er zijn echter aanwijzingen dat de orale biobeschikbaarheid uit bodem significant lager is. Risico's kunnen daardoor substantieel overschat worden. Daarom is een simpel in vitro digestiemodel ontwikkeld, gebaseerd op humane fysiologie, zodat de mobilisatie van contaminanten van grond in het maagdarmkanaal (oftewel bioaccessibility) kan worden gesimuleerd. Optimalisatie van dit in vitro digestiemodel is beschreven in het rapport. De "bioaccessible" fractie is een maat voor de hoeveelheid contaminant die maximaal geabsorbeerd kan worden. Met het in vitro digestiemodel zijn experimenten verricht met lood en benzo[a]pyreen als beleidsrelevante stoffen en vertegenwoordigers van twee verschillende chemische groepen. Als overige variabelen zijn 1) contaminatie-niveau, 2) bodemtype, 3) pH van bodem, en 4) het verouderen van de grond (alleen voor lood), en 5) de speciatie van lood in het uitgangsmateriaal getest. Bovendien is voor lood een begin gemaakt met de vergelijking tussen gronden die kunstmatig of historisch zijn gecontamineerd. De resultaten laten in veel gevallen een niet-lineair verband zien tussen het contaminatie-niveau en de hoeveelheid contaminant die door digestie wordt gemobiliseerd van grond. Omdat conventionele statistische testen niet geschikt waren voor analyse van de verworven data-sets, is een mathematisch model ontwikkeld dat is gebaseerd op theorieen over binding van contaminanten aan bodemdeeltjes. De helft van de data-sets voor lood worden beter beschreven met een niet-linear verband volgens het mathematische model, dan met een lineair verband. De data van benzo[a]pyreen worden zowel voor het lineaire als het niet-lineaire verband beter beschreven met een verzadigingsniveau in digestiesap dan zonder. Omdat te weinig data punten over zijn voor het verzadigingspunt, blijkt het voor het gebied tot aan het verzadigingspunt niet mogelijk onderscheid te maken tussen het lineaire en het niet-lineaire verband. Bovendien lijkt bioaccessibility afhankelijk te zijn van de contaminant en het bodemtype. De overige variabelen lijken weinig of geen effect te hebben op de bioaccessibility. Aanvullende experimenten zijn noodzakelijk om het mathematische model te valideren. Op termijn zou het mathematisch model gebruikt kunnen worden om de bioaccessibility van een specifieke contaminant/bodemtype combinatie te schatten. Het in vitro digestiemodel kan gebruikt worden voor het bepalen van locatiespecifieke bioaccessibility gegevens. Zolang validatie aan de in vivo situatie niet heeft plaatsgevonden moeten de resultaten met voorzichtigheid worden geinterpreteerd.
Spontaneous aggregation of fibril-forming peptides studied by Molecular Dynamics simulations

Polypeptides share the capacity to assemble into fibrillar aggregates with generic properties even though they can be otherwise unrelated in sequence or structure. Moreover, the relevance of peptide aggregation in amyloidogenic diseases brings it into the focus of interdisciplinary biophysical research. Advances have been made toward unraveling the structural characteristics of the fibrillar end-states using truncated segments of amyloidogenic proteins and peptides. However, detailed experimental knowledge of primary aggregates, soluble and nonfibrillar oligomers and the course of events in initial peptide assembly is still limited. Such low molecular weight oligomers are described to be transient and polymorphic intermediates in the self-assembly process to highly ordered amyloid fibers and were additionally found to exhibit a profound cytotoxicity. In this thesis, computer simulations are used to reveal common principles for the primary aggregation stages of small peptide segments from the tau protein, insulin, the islet amyloid peptide and -synuclein. Starting from multiple peptide monomers the events of primary aggregate formation are analyzed in atomistic detail from the first diffusional encounter of peptides to contact formation and conformational reorganization of the initially formed aggregates. The structural fluctuations of the aggregates are studied with a novel methodological framework to describe and unveil the critical variables that govern the processes of biomolecular peptide aggregation. The observed intermediates are structurally heterogeneous and early aggregate formation is likely under kinetic control. Mapping the conformational spectra attained by the diverse ensemble of small, oligomeric structures on collective coordinates highlights similarities and differences between the aggregates from several sequences. Qualitative evidence is provided that the early, polymorphic oligomers feature similar self-complementary sheet packing characteristics as it is proposed for fibrillar and crystalline aggregates. Furthermore, a detailed analysis of the forces driving the oligomerization reveals a common two-step process akin to a general condensation-ordering mechanism and thus provides a rational understanding of the molecular basis of peptide self-assembly. To elucidate the influence of external factors on the aggregation process simulations of model peptide aggregation in the vicinity of DMPC bilayers are carried out. Altogether the view is emphasized that solvent interactions at various stages of the aggregation process play a dominant role. As an important prerequisite for this work different empirical models used in atomistic simulations have been validated by conducting a systematic study of secondary structure propensity in current molecular dynamics (MD) force fields.
Effects of foam rolling on blood lactate concentration in elite futsal players

Purpose. Foam rolling (Fr) is a known recovery method based on self-myofascial release. Detailed data on Fr to reduce muscle fatigue and enhance performance in futsal athletes are still limited. The study aimed to assess whether Fr was a suitable recovery method for futsal athletes to enhance performance and reduce their lactic acid concentration. Methods. A total of 30 male futsal athletes participated in this study. They were randomly divided into 2 groups: 15 subjects assigned to the experimental (Fr) group practised foam roller exercises, while 15 individuals assigned to the control group were given slow jogging recovery. Both groups completed pre- and post-recovery tests for anaerobic capacity and agility. Blood lactate was measured before the experiment, immediately after the tests, and immediately after recovery. A 2 × 2 repeated measures analysis of variance (ANOVA) was used to calculate each parameter results. Results. In the post-recovery lactate concentration, the independent t-test revealed a significant decrease between pre- and post-test values in the Fr group ( p = 0.033). conversely, an increase in lactate between pre- and post-test measurements occurred in the control group ( p = 0.058). Furthermore, ANOVA revealed significant time × group interactions ( p = 0.002) and a significant main effect for group ( p = 0.001). Conclusions. Fr after exercise-induced muscle fatigue had an effect on the recovery of elite futsal players by increasing the rate of blood lactate clearance. There was no increase in performance in 20-m sprint or agility ( t -test).
The social dimension of learner autonomy in a telecollaborative project: a Russian course for apprentice engineers

According to the International Labour Organisation (ILO, 2019), many of today’s skills will not match the jobs of tomorrow. Lifelong learning and learning to learn are thus crucial. The Conservatoire des arts et métiers (Cnam) language centre has for a long time had this ambition. Although the approach was at first learner-centred and based on individual-focused learning processes (social support being provided solely by teacher-advisers), current research has shown a social shift (Cappellini, Lewis, & Mompean, 2017; Lantolf, 2013; Little, 2000) with the rediscovery of social theories on learning (Bruner, 1975; Clot, 1999; Lantolf & Thorne, 2007; Vygotsky, 1978). In addition, the social web offers new affordances such as “commenting, linking, co-authoring, revising, remixing, sharing, [and] liking” (Blin, 2012, p. 79), thus providing new forms of online interaction and possibilities for collective activities. However, students need to be prepared for online participation, as “processes, methods, and strategies of effective language learning should be taught more explicitly in order to improve self-directed learning” (Vandergriff, 2016, p. 241).
Gravitational Space-Time Quantization for Charged Wormholes and the Diophantine Uncertainty Relation

This research work proceeds from the assumption, which was still considered by Einstein, that the quantization of gravity does not require additional external procedures: quantum phenomena can be a consequence of the properties of the universal gravitational interaction, which maps any physical field upon the space-time geometry. Therefore, an attempt is made in this research work to reduce the quantization of physical fields in GRT to the space-time quantization. Three reasons for quantum phenomena are considered: Partition of space-time into a set of unconnected Novikov’s R- and T-domains impenetrable for light paths; the set is generated by the invariance of Einstein’s equations with respect to dual mappings; The existence of electric charge quanta of wormholes, which geometrically describe elementary particles in GRT. This gives rise to a discrete spectrum of their physical and geometric parameters governed by Diophantine equations. It is shown that the fundamental constants (electric charge, rest masses of an electron and a proton) are interconnected arithmetically; The existence of the so-called Diophantine catastrophe, when fluctuations in the values of physical constants tending to zero lead to fluctuations in the number of electric charges and the number of nucleons at the wormhole throats, which tend to infinity, so that the product of the increments of these numbers by the increment of physical constants forms a relation equivalent to the uncertainty relation in quantum mechanics. This suggests that space-time cannot but fluctuate, and, moreover, its fluctuations are bounded from below, so that all processes become chaotic, and the observables become averaged over this chaos.
The Efficacy of Art Therapy on Mental Health Outcomes Among Breast Cancer Patients: The Current State of Evidence Based on Randomised Controlled Trials

Introduction: Breast cancer is the most common cancer among women. Psychosocial distress, in the forms of depression and anxiety, regularly accompanies breast cancer diagnosis and throughout its treatment. Hence, it is important to objectively assess the therapy options that may help this distress. One of the most flexible psychotherapy modalities is the art therapy as it may be incorporated in many settings. The purpose of this systematic review is to determine the efficacy of art therapy (via creative paintings) on the mental health outcomes of female breast cancer patients. Material and Methods: Related articles were identified from Medline (OvidSP), ScienceDirect, Pubmed, EbscoHost-Academic Search Premier and Wiley Online Library. Screenings were performed based on the criteria that the study must be a randomised control trial (RCT) that investigated the effect of art therapy in breast cancer. Data were extracted using standardised forms, followed by evaluation of quality of reporting using CONSORT Guidelines. Results: Six RCTs were identified. Based on the heuristic synthesis of data extraction results, none of the studies can be considered as studies with acceptable quality, although four of them showed promising results. Conclusion: There is inconclusive evidence of the efficacy of art therapy (via creative paintings) for the improvement of mental health outcomes among female breast cancer patients.
Optimal Exploitation of a General Renewable Natural Resource under State and Delay Constraints

In this work, we study an optimization problem arising in the management of a natural resource over an infinite time horizon. The resource is assumed to evolve according to a logistic stochastic differential equation. The manager is allowed to harvest the resource and sell it at a stochastic market price modeled by a geometric Brownian process. We assume that there are delay constraints imposed on the decisions of the manager. More precisely, starting harvesting order and selling order are executed after a delay. By using the dynamic programming approach, we characterize the value function as the unique solution to an original partial differential equation. We complete our study with some numerical illustrations.
Effect of different levels of dietary Bole (lake soil) inclusion on feed intake, milk yield and composition of Holstein Friesian cows.

Received: Revised: Accepted: October 10, 2013 November 17, 2013 December 15, 2013 The experiment was conducted with the objective of evaluating the effects of inclusion dietary bole soil at different levels on dry matter intake, milk yield and milk composition of Holstein Friesian cows. Sixteen, two to four multiparious mid-lactation Holstein cows with milk yield of 10.5 ± 2.14 kg d and 383.5 ± 35.44 kg average body weight were blocked based on their average milk yield. Cows were assigned to one of the four dietary treatments using RCBD. The treatments were T1= 0% Bole soil in the concentrate, T2= 1.5% Bole soil in the Concentrate, T3= 3% Bole soil in the Concentrate and T4= 4.5% Bole soil in the Concentrate. Grass hay was used as a basal diet. The trial was conducted for 60 days. Data were analysed by analysis of variance (ANOVA), general linear model (GLM) procedure of SAS (2002). Grass hay intake was significantly different (P<0.01) among treatments, the highest being T2. There was no significant difference (P>0.05) on concentrate intake among treatments. Total dry matter intakes were significantly different (P<0.05), with the highest record for T2. Crude protein and metabolizable energy intakes were not significantly different (P>0.05) among treatments where as intake of neutral detergent fiber, acid detergent fiber and ash were significantly different (P<0.05) among treatments with higher value for T2. Dietary treatments did not affect average daily milk yield of cows. Similarly, milk protein, solid not fat and total solid content were not significant different (P>0.05) among treatments. However, milk fat content and feed conversion efficiency were significantly different (P<0.05) among treatments, the highest being in T3. The 4% fat corrected milk yield of cows were significantly different (P<0.01) between treatments for T2=T3 > T1=T4. Therefore, from the present study, it can be conclude that inclusion of 1.5% bole soil with concentrate diet is recommended on biological response of lactating Holstein Friesian cows.
Mining Frequent Patterns Partially Devoid of Dissociation with Automated MMS Specification Strategy

Mining frequent patterns with single minimum support is quite unpredictable as it may miss rare itemsets depending upon the high value of minimum threshold. The phenomenon is commonly known as “rare item problem” dilemma. In this connection, frequent pattern mining under multiple minimum supports (MMS) is considered as an adequate solution of the problem. Existing approaches in this domain require user-defined minimum item support (MIS), and consider only the support in recognizing the importance of the items and ignore other factors including the inter-item relationships. The generation of huge number of itemsets including the itemsets with low associability or high dissociation is another problem in the existing MMS-based approaches. Keeping view of the above issues, this paper introduces AutoMMS-FPM, an automated MMS specification approach for frequent pattern mining with partial devoid of dissociation. The proposed approach not only takes account of support but also some other factors such as influence (inf), dissociation (d) and length importance factor (ρ) to boost up the mining process. Influence refers to the inter-item relationship and it is formulated based on the concept of degree centrality of the corresponding item network. MIS for the items are calculated automatically using MBS and RIF factors where the first one relates to the item support and the second one relates to the item influence. Experimental results on both of the synthetic and real datasets show that the proposed algorithm outperforms than existing approaches in terms of number of generated itemsets, run time, memory usages, dissociation and scalability.
Navigating Ownership in the Context of the Security Sector Reform (SSR) in Mali: A Comparison of External Actors’ Approaches

ABSTRACT In view of the gap between policy and practice in Security Sector Reform (SSR) interventions, this article examines external actors' field-level practices with a focus on national ownership principles in the context of the SSR process in Mali from 2015 to 2016. It proceeds from the assumption that perceptions of institutional demands crucially impact the way organisations decide on appropriate actions. The findings show that, under conditions of a perceived absence of national commitment to SSR, external actors navigate conflicting demands by practicing avoidance, manipulation, and compromise-seeking. The article concludes with recommendations on strengthening external actors' adherence to ownership principles.