Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring "temperature-aware" design in low-power MPSoCs

The power density inside high performance systems continues to rise with every process technology generation, thereby increasing the operating temperature and creating “hot spots” on the die. As a result, the performance, reliability and power consumption of the system degrade. To avoid these “hot spots”, “temperature-aware” design has become a must. For low-power embedded systems though, it is not clear whether similar thermal problems occur. These systems have very different characteristics from the high performance ones: they consume hundred times less power, they are based on a multi-processor architecture with lots of embedded memory and rely on cheap packaging solutions. In this paper, we investigate the need for temperature-aware design in a low-power systems-on-a-chip and provide guidlines to delimit the conditions for which temperature aware design is needed.
Electric Vehicle Charging Stations With Renewable Power Generators: A Game Theoretical Analysis

In this paper, we study the price competition among electric vehicle charging stations (EVCSs) with renewable power generators (RPGs). As electric vehicles (EVs) become more popular, a competition among EVCSs to attract EVs is inevitable. Thereby, each EVCS sets its electricity price to maximize its revenue by taking into account the competition with neighboring EVCSs. We analyze the competitive interactions between EVCSs using game theory, where relevant physical constraints such as the transmission line capacity, the distance between EV and EVCS, and the number of charging outlets at the EVCSs are taken into account. We show that the game played by EVCSs is a supermodular game and there exists a unique pure Nash equilibrium for best response algorithms with arbitrary initial policy. The electricity price and the revenue of EVCSs are evaluated via simulations, which reveal the benefits of having RPGs at the EVCSs.
Application of the Two-Step Compensation Method to Line-Out and Line-End Fault Calculations

This paper presents an application of the two-step compensation method to the most commonly performed line-out and line-end fault calculations, demonstrating the use, generality and flexibility of the algorithm. The paper is aimed at both computer applications engineers who might implement the algorithm described herein in software packages, and protection engineers who might use the paper's heuristics to efficiently guide their analyses. The compensation-based scheme is extremely powerful for solving problems involving large-scale power systems. Detailed, step-by-step numerical computations are carried out for five examples in this application paper. The examples include calculations for a line-end fault with ensuing line outages. Mutual couplings are included in the network.
Homogenization of an elastic-plastic problem.

This project presents the homogenization analysis for a static contact problem with slip dependent friction between an elastic body and a rigid foundation. The homogenization for the static eigenvalue problem associated to this model is studied. We prove that the eigenvalues are of order ε. We obtain the limit problem for the contact model. The analysis is carried out by using the Γ-convergence theory.
Exploring Attachment Incoherence in Bereaved Families’ Therapy Narratives: An Attachment Theory-Informed Thematic Analysis

Attachment theory predicts that family bereavement leads even securely attached individuals to experience temporary attachment insecurity. This article explores how incoherence, a narrative marker of attachment insecurity, is displayed in the talk of families undergoing bereavement family therapy. This study uses the lens of attachment theory, and specifically the Adult Attachment Interview (AAI), to explore how members of five families talked about the loss of a close family member and how interactions between therapist and family members could hinder a coherent dialogue about the death. The families were recruited through Winston’s Wish, a UK-based family bereavement charity. The analysis centers on the “Telling the story” intervention, used at the start of therapy, in which family members together tell the story of the death. Families also retold the story in an extra family session toward the end of the therapy for the purposes of this research. Transcripts of the therapy sessions were analyzed using thematic analysis, with some codes developed directly from the unresolved loss codes of the AAI and other codes generated from analyzing the transcripts through the lens of attachment theory. Through a micro focus on therapy process, the study provides tentative support for suppositions in attachment theory about the psychological importance of (fostering) coherent speech as well as information about potentially helpful versus unhelpful therapist actions in family bereavement therapy. The findings have relevance for bereavement therapy interventions, therapy training, and research practice.
Analyse cinétique de l'interférence par l'ARN dans les compartiments nucléaire et cytoplasmique des cellules de mammifères

L'interference par l'ARN (ARNi) designe la degradation specifique de sequence des ARN induite par des ARN double brin. Dans les cellules de mammiferes, l'ARNi peut etre induite par des petits ARN interferants (siARN). L'ARNi est effectuee par le complexe RISC (RNA induced silencing complex) contenant, entre autre, la sequence d'ARN guide, qui permet la reconnaissance de la cible et la nuclease Ago2, responsable de son clivage. Ces travaux ont porte sur l'analyse cinetique de la degradation des ARNm induite par les siARN dans des cellules de mammiferes. Nous avons mesure les vitesses de degradation des ARNm de β-globine et de lymphotoxine-α sous interference et montre, d'une part, que les differences d'efficacite des siARN sont liees a des differences de vitesses de degradation et, d'autre part, que ces vitesses s'accelerent entre 16h et 24h apres la transfection pour deux siARN inhibant 80 a 90% des messagers. Nous avons aussi observe qu'un meme siARN induit des inhibitions differentes pour les deux messagers de la lymphotoxine-α, ce qui nous a amene a proposer l'existence d'une interaction entre la traduction et l'interference par l'ARN. Nous avons analyse l'impact de l'interference sur le metabolisme nucleaire des ARNm. Nous avons ainsi demontre que les siARN induisent la degradation des ARN nucleaires avec une efficacite qui depend d'une competition cinetique entre l'interference et les reactions de maturation et d'export qui affectent le transcrit cible. De plus, nous avons observe que la degradation d'un ARN messager pouvait s'accompagner d'une accumulation de ses precurseurs, probablement par une augmentation de synthese. Ainsi, l'interference permet-elle de mettre en evidence de nouvelles regulations du metabolisme nucleaire des ARN.
A Hox code defines spinocerebellar neuron subtype regionalisation

Coordinated body movement requires the integration of many sensory inputs. This includes proprioception, the sense of relative body position and force associated with movement. Proprioceptive information is relayed to the cerebellum via spinocerebellar neurons, located in the spinal cord within a number of major neuronal columns or as various scattered cell populations. Despite the importance of proprioception to fluid movement, a molecular understanding of spinocerebellar relay interneurons is only beginning to be explored, with limited knowledge of molecular heterogeneity within and between columns. Using fluorescent reporter knock-in mice, neuronal tracing and in situ hybridisation, we identify widespread expression of Hox cluster genes, including both protein-coding genes and microRNAs, within spinocerebellar neurons. We reveal a “Hox code” based on axial level and individual spinocerebellar column, which, at cervico-thoracic levels, is essential for subtype regionalisation. Specifically, we show that Hoxc9 function is required in most, but not all, cells of the major thoracic spinocerebellar column, Clarke’s column, revealing heterogeneity reliant on Hox signatures.
A Novel Algorithm for Estimating Purchase Incentive of the Public Based on Mobile Cloud Computing

Mobile cloud computing provides applications of cloud computing technology on mobile Internet. In the era of the 5G networks, mobile cloud computing offers the possibility of heavy computational in parallel through different mobile terminals. This also offers us to use mobile cloud computing to analyze fluctuations in user buying incentives over the course of a year. In various business scenarios, the purchase incentive of the public is often considered as being controlled by multiple factors and changes dramatically during holiday seasons. This paper proposed an evolutionary algorithm for monitoring purchase incentive of the public which can be distributed in mobile cloud computing. In this paper, we demonstrate that the public’s shopping behavior of a commodity is a consequence of a collective behavior propagating through a social network and can be modeled as a simple ODEs model. Then, based on this new model, we develop an extended differential evolution algorithm that is deployed on mobile terminals and combined with the 5G network computing to estimate public incentives from historical sales datasets. The results suggest that this method can successfully monitor the public’s purchase incentive. In addition, the overall purchase incentive changes dramatically during holiday seasons but fluctuates with similar patterns every year.
Burnout en voluntarios que trabajan con pacientes de Sida o cáncer

This work shows the first empirical results obtained from the study of the so-called burnout syndrome in volunteers who undertake direct caring attention to AIDS or cancer patients. Research on this syndrome in volunteers seems to be justified because the undertaking of these sort of activities demands a substantial cost on emotional resources. Furthermore, studies on burnout in professionals are focused on professions, mainly in the filed of health, which due to their features imply being exposed to situations carrying a great emotional demand. Data show that the burnout degree in active volunteers is low and that the duration in an organization in inversely related to the burnout degree experienced by volunteers
Multiuser MISO beamforming for simultaneous wireless information and power transfer

This paper studies a multiuser multiple-input single-output (MISO) broadcast system for simultaneous wireless information and power transfer (SWIPT), where a multi-antenna access point (AP) sends information and energy simultaneously via beamforming to multiple single-antenna receivers. We maximize the weighted sum-power transferred to energy harvesting (EH) receivers subject to a set of minimum signal-to-interference-and-noise ratio (SINR) constraints at information decoding (ID) receivers. In particular, we consider two types of ID receivers, namely Type I and Type II receivers, without and with the capability of cancelling the interference from energy signals, respectively. For each type of ID receivers, we formulate the joint information and energy transmit beamforming problem as a non-convex quadratically constrained quadratic program (QC-QP), for which the globally optimal solution is obtained by applying the technique of semidefinite relaxation (SDR). It is shown that for Type I ID receivers, dedicated energy beamforming is not needed to achieve the optimal solution, while for Type II ID receivers, employing no more than one energy beam is optimal.
Progressive 3D Scene Understanding with Stacked Neural Networks

3D scene understanding is difﬁcult due to the natural hierarchical structures and complicated contextual relationships in the 3d scenes. In this paper, a progressive 3D scene understanding method is proposed. The scene understanding task is decomposed into several different but related tasks, and semantic objects are progressively separated from coarse to ﬁne. It is achieved by stacking multiple segmentation networks. The former network segments the 3D scene at a coarser level and passes the result as context to the latter one for a ﬁner-grained segmentation. For the network training, we build a connection graph (vertices indicating objects and edges’ weights indicating contact area between objects), and calculate a maximum spanning tree to generate coarse-to-ﬁne labels. Then we train the stacked network by hierarchical supervision based on the generated coarse-to-ﬁne labels. Finally, using the trained model, we can not only obtain better segmentation accuracy at the ﬁnest-grained than directly using the segmentation network, but also obtain a hierarchical understanding result of the 3d scene as a bonus.
Cyanobacteria Proliferation in the Cenomanian‐Turonian Boundary Interval of the Apennine Carbonate Platform: Immediate Response to the Environmental Perturbations Associated With OAE‐2?

Oceanic Anoxic Event‐2 (OAE‐2; Cenomanian‐Turonian) is characterized by extensive deposition of organic carbon‐rich deposits (black shales) in ocean basins worldwide as result of a major perturbation of the global carbon cycle. While the sedimentological, geochemical, and paleontological aspects of deep water expressions of OAE‐2 have been intensively studied in the last few decades, much less attention has been given to the coeval shallow water deposits. In this study, we present the results of a detailed facies and petrographic (optical microscope and scanning electron microscopy) and geochemical studies (δ13Ccarb, δ 13C org, δ 15Nbulk, TOC, and Rock‐Eval pyrolysis) on two key shallow marine sections from the Apennine Carbonate Platform (ACP; Italy). Here a continuous record of shallow water carbonates through the OAE‐2 interval is preserved, offering the unique opportunity to document the archive of paleoenvironmental changes in a neritic setting, at a tropical latitude and far from the influence of a large continental block. Two conspicuous intervals are characterized by abundant and closely spaced “dark” microbial laminites found at correlative stratigraphic horizons in the two stratigraphic sections. These laminites contain elevated concentrations of TOC (up to 1%) relative to microbial capping cycles laminites stratigraphically above and below. The organic matter preserved in these fine‐grained laminites is dominated by cyanobacteria remains, which accounted for most of the organic matter produced on the ACP in these intervals. Our study suggests that Tethyan carbonate platforms experienced significant biological changes during OAE‐2, alternating, in few kiloyears, between eutrophic phases dominated by microbial communities and mesotrophic/oligotrophic conditions favoring “normal” carbonate production/sedimentation. The synchronous occurrence of microbialite facies at different locations across the ACP and on other platforms worldwide (e.g., Mexico and Croatia) suggests a causal link between Large Igneous Province volcanism and the environmental conditions necessary to trigger cyanobacterial proliferation on shallow carbonate platforms.
Cost-effectiveness of treating hepatitis C in Seychelles

Introduction approximately eighty million people around the world are living with hepatitis C, and 700,000 people die every year, due to hepatitis C related complications. In Seychelles, a total of 777 cases of hepatitis C were reported from 2002 to 2016, but up to mid of 2016, the cases were not being treated. Treatment with Harvoni, a combination of sofosbuvir and ledipasvir (SOF/LDV), is now being offered on the condition that the patient does not, or has stopped, injecting drugs. This paper is the first to establish the cost effectiveness of treating all cases of hepatitis C in Seychelles with Harvoni, as compared to no treatment. Methods data extracted from literature was used to populate an economic model to calculate cost-effectiveness from Seychelles' government perspective. The model structure was also informed by the systematic review and an accompanying grading of economic models using the Consolidated Health Economic Evaluation Reporting Standard (CHEERS) checklist. A Markov model was developed, employing a lifetime horizon and costs and benefits were analysed from a payer's perspective and combined into incremental cost effectiveness ratios (ICERs). Results the direct-acting antiviral (DAA), Harvoni, was found to be cost-saving in Seychelles hepatitis C virus (HCV) cohort, as compared to no treatment, with an ICER of € 753.65/QALY. The treatment was also cost-saving when stratified by gender, with the ICER of male and female being € 783.74/QALY and € 635.20/QALY, respectively. Moreover, the results obtained from acceptability curves showed that treating patients with Harvoni is the most cost-effective option, even for low thresholds. Conclusion treating hepatitis C cases in Seychelles is cost-saving. It is worth developing a treatment programme to include all cases of hepatitis C, regardless of status of drug injection.
Intercultural competence as part of a Finnish as a second language educator’s skillset

Mietala, Theresa. 2019. Finnish as a second language: An educator’s expertise in intercultural competence. Master's Thesis in Education. University of Jyväskylä. Department of Education and Psychology. Societies are becoming increasingly diverse, due to migration and globalization (Jokikokko, 2010). Hence, individuals will have increasing interactions with those from countries and cultures that are outside their own. Intercultural competence, the skillset needed to effectively communicate in a multicultural environment is one of the more sought after and increasingly needed skillset educators, who work in multicultural environments must possess. The aim of this study is to explore and better understand Finnish as second language educators’ practice and understanding of intercultural competence. There were two participants in this study and in-depth interviews, as well as classroom observations conducted by the researcher. The questions of how intercultural competence is presented in the classroom and the understanding of intercultural competence by the educators were analyzed, with key extracts taken out. Using Byram’s model of intercultural competence, it is found that educators do practice successful intercultural communication in the Finnish as a second language classroom. The practice of intercultural competence was chosen and analyzed using Byram’s model. Additionally, the complexities of the multicultural background of students is concluded and put forward as a challenge for the educators to create a successful curriculum and integration into society. Accordingly, suggestions on how to incorporate students understanding and beliefs of intercultural competence are put forward for future research that is conducted.
A Loss-Free Multipathing Solution for Data Center Network Using Software-Defined Networking Approach

Conventional Ethernet protocols struggle to meet the scalability and performance requirements of data centers. Viable replacements have been proposed for data center ethernet (DCE): link-layer Multipathing (MP) is deployed to replace spanning tree protocol (STP) and thus improve network throughput; end-to-end link-layer congestion control (CC) is proposed to better guarantee loss-free frame delivery for Ethernet. However, little work has been done to incorporate MP and CC to offer a more comprehensive solution for DCE. In this paper, we propose a two-tier solution by integrating our dynamic load balancing Multipath (DLBMP) scheme with CC. Instead of using two separate parameters, i.e., path load and buffer level, to trigger MP and CC, our solution only needs to monitor path load metric to manage MP and CC in an integrated way. Different from a single CC mechanism, which generates congestion notifications from network core, our integrated CC can make use of link load information in access switches which directly inform sources to control their traffic admission. To minimize overhead and accelerate update, SDN techniques are employed in our implementation, which decouples routing intelligence from data transmission. Hence, data sources can react more rapidly to congestion and network can be guaranteed with loss-free delivery. In addition, our MP scheme is further improved by introducing application-layer flow differentiation. With such a fine flow differentiation (FFD) mechanism, traffic can be more evenly distributed along multipaths, resulting in better bandwidth utilization. Simulation results show that our combined solution can further improve network throughput with FFD mechanism and guarantee loss-free delivery with integrated CC.
Full-Chip Thermal Analysis for the Early Design Stage via Generalized Integral Transforms

The capability of predicting the temperature profile is critically important for timing estimation, leakage reduction, power estimation, hotspot avoidance and reliability concerns during modern IC design. This paper presents an accurate and fast analytical full-chip thermal simulator for early-stage temperature-aware chip design. By using the generalized integral transforms (GIT), an accurate formulation is derived to estimate the temperature distribution of full-chip with a truncated set of spatial bases which only needs very small truncation points. Then, we develop a fast Fourier transform like evaluating algorithm to efficiently evaluate the derived formulation. Experimental results confirm that the proposed GIT-based analyzer can achieve an order of magnitude speedup compared with a highly efficient Green's function-based thermal simulator. Finally, we propose a 3-D IC thermal simulator and demonstrate its efficiency and accuracy.
Automatic Recognition of Fruits and Vegetables Diseases

Images are the important source of data and information in the agricultural sciences. The use of image processing techniques is of great significance for the analysis of agricultural operations. Fruit and vegetable classification is one of the major applications that can be used in the supermarket to automatically detect the kind of the fruit or vegetable purchased by the customer and to generate the prices for it. Training on-site is the fundamental requirement for this type of system, which is mostly done by the users having little or no technical knowledge. In this thesis, we have addressed this problem and designed a methodology for these types of problem which requires less number training examples.
Impacting Management Capacity on Training Quality: A Case of Private Universities in Vietnam

Human factor is always the key determinant, directly controlling the training process in the private university. It not only refers to the team of teachers but also the managers, especially management capacity. The success of a private university depends on the managers’ management capacity. So, the main objective of this study is to explore the impacting management capacity on training quality of private universities in Vietnam. The researcher’s surveyed 400 managers related the education and training field in Vietnam. 15 items and 376 samples processed and Data collected from July 2017 to December 2018 in Can Tho City, Ho Chi Minh City, Hai Phong City and Ha Noi Capital. The researchers get simple random sampling technique and each city surveys 100 samples. Cronbach's Alpha and the Exploratory Factor Analysis (EFA) which used for Structural Equation Modelling (SEM) technique and using partial least squares method. Manager’s responses measured through an adapted questionnaire on a 5-point Likert scale. The findings of the paper have the management capacity impacting on training quality of private universities with significance level 0.01.