Miracle-dz/UniFAR-FTUs huggingface dataset:
Robots for Joy, Robots for Sorrow: Community Based Robot Design for Dementia Caregivers

Many new technologies are being built to support people with dementia. However, they largely focus on the people with dementia; consequently, informal caregivers, one of the most important stakeholders in dementia care, remain invisible within the technology design space. In this paper, we present a six-month long, community-based design research process where we collaborated with dementia caregiver support groups to design robots for dementia caregiving. The contributions of this paper are threefold. First, we broaden the context of dementia robot design to give a more prominent role to informal family care-givers in the co-design process. Second, we provide new design guidelines that contextualize robots within the family caregiving paradigm, which suggest new roles and behaviors of robots. These include lessening emotional labor by communicating information caregivees do not want to hear (e.g., regarding diet or medication) or providing redirection during emotionally difficult times, as well as facilitating positive shared moments. Third, our work found connections between certain robot attributes and their relationship to the stage of dementia a caregivee is experiencing. For example, caregivers wanted their robots to facilitate interaction with their caregivees in early stages of dementia, yet be in the background. However, for later stages of dementia, they wanted robots to replace caregiver-caregivee interaction to lessen their emotional burden, and be foregrounded. These connections provide important insights in to how we think about adaptability and long-term interaction in HRI. We hope our work provides new avenues for HRI researchers to studying robots for dementia caregivers by engaging in community-based design.
Study of the North West Cape electron belts observed by DEMETER satellite

[1] We analyzed observation data collected by the Instrument for the Detection of Particles (IDP) on board the DEMETER satellite during a period of 17 months in 2007 and 2008. In the meantime, the VLF transmitter located at North West Cape (NWC) ground station was shut down during 7 months and working for a total of 10 months. By an (on-off) method, our analysis for the first time revealed in detail the transient properties of the space electron precipitation belt which is induced by the man-made VLF wave emitted from NWC. We mapped the electron flux distribution and figured out the space regions that the NWC belt covered. The NWC electron spectrograms have been investigated in a wide range of the McIlwain parameter L (1.1–3.0). Furthermore, we obtained the averaged energy spectra of the NWC electrons within the drift loss cone and compared their characteristics during daytime and nighttime. Our results confirm the previous studies of the enhancement of NWC electrons, the wisp structure, and the day/night difference of the electron flux. In addition, more detailed information is provided. We provide not only evidence of a momentary flux enhancement up to 3 orders of magnitude but also a flux reduction at higher L shells with a maximum up to 60% of the original value. For the first time, the energy spectra of NWC electrons covering the entire IDP energy band are presented for both nighttime and daytime and are quantitatively compared. At the end, our results are discussed, and their agreement with the theory of wave-particle interactions is checked.
C O ] 2 1 Ju l 2 01 0 EBEX : A balloon-borne CMB polarization experiment

EBEX is a NASA-funded balloon-borne experiment designed to measure the polarization of the cosmic microwave background (CMB). Observations will be made using 1432 transition edge sensor (TES) bolometric detectors read out with frequency multiplexed SQuIDs. EBEX will observe in three frequency bands centered at 150, 250, and 410 GHz, with 768, 384, and 280 detectors in each band, respectively. This broad frequency coverage is designed to provide valuable information about polarized foreground signals from dust. The polarized sky signals will be modulated with an achromatic half wave plate (AHWP) rotating on a superconducting magnetic bearing (SMB) and analyzed with a fixed wire grid polarizer. EBEX will observe a patch covering ∼1% of the sky with 8’ resolution, allowing for observation of the angular power spectrum from l = 20 to 1000. This will allow EBEX to search for both the primordial B-mode signal predicted by inflation and the anticipated lensing B-mode signal. Calculations to predict EBEX constraints on r using expected noise levels show that, for a likelihood centered around zero and with negligible foregrounds, 99% of the area falls below r = 0.035. This value increases by a factor of 1.6 after a process of foreground subtraction. This estimate does not include systematic uncertainties. An engineering flight was launched in June, 2009, from Ft. Sumner, NM, and the long duration science flight in Antarctica is planned for 2011. These proceedings describe the EBEX instrument and the North American engineering flight.
Pour la relance d’une évaluation congruente à l’université

Constructive or curricular alignment signals the coherence between learning goals, and the chosen teaching methods and assessment procedures. Based on a reflection about the difficulty in achieving such a match in the usual conditions of higher education, this article considers how the rupture induced by the current lockdown may bring further deterioration and attempts to outline a few perspectives regarding how to achieve educational congruence… beyond and in spite of enforced isolation.
Petroleum Refinery Hydrogen Production Unit: Exergy and Production Cost Evaluation

Some specific processes are required to obtain pure hydrogen and the most usual one is natural gas reforming, where natural gas reacts with superheated steam producing H2, CO, CO2 and H2O. This paper presents the exergy and production costs evaluation of a complete hydrogen production unit of a petroleum refinery. The hydrogen production unit analysed in this paper has to supply 550,000 Nm3 of hydrogen per day to purify diesel oil. Based on a synthesis plant of the hydrogen production unit, the exergy efficiency of each component and of the overall plant are calculated. The hydrogen production cost is determined by means of a thermoeconomic analysis in which the equality cost partition method is employed, including capital and operational costs, in order to determine the production cost of hydrogen and other products of the plant.
Facial Expression Recognition Based on Deep Residual Network

Low accuracy of facial expression recognition for traditional methods, a facial expression recognition algorithm is proposed. Using the deep residual network model as the feature extractor, the residual block of the residual network is improved to enhance the information flow in the deep network. During training, apply some pre-processing techniques to extract only expression specific features from a face image and explore the presentation order of the samples and use softmax to classify and identify the extracted feature vectors. The experimental results show that a higher recognition rate is obtained on FER-2013.
Extending the Capacity of CVAE for Face Synthesis and Modeling

In this work, we develop an equilibrium conditional variational autoencoder(CVAE) for structure-guided face synthesis. The proposed model has a flexible appearance encoding space according to each facial geometry characteristic. Traditional CVAE, constrained by its capacity, tends to lose diversity and details on generating faces in unseen poses, resulting in structure incoherence or beautified phenomenon. By extending the capacity of CVAE in an unsupervised fashion, our model can thus generate photo-realistic unseen faces conditioned on a different structure, as well as disentangling appearance and structure features. Furthermore, with great disentanglement and generalization property, our model is able to deal with extreme expression and rotation.
On the use of Process Mining and Machine Learning to support decision making in systems design

Research on process mining and machine learning techniques has recently received a significant amount of attention by product development and management communities. Indeed, these techniques allow both an automatic process and activity discovery and thus are high added value services that help reusing knowledge to support decision-making. This paper proposes a double layer framework aiming to identify the most significant process patterns to be executed depending on the design context. Simultaneously, it proposes the most significant parameters for each activity of the considered process pattern. The framework is applied on a specific design example and is partially implemented.
Diverse Responses of Maple Saplings to Forest Light Regimes

Seedlings of 11 species of forest maples (Acer L.) were grown outdoors from budburst to senescence under three light regimes: ‘gap centre under clear skies’ (approx. 20% open sky irradiance; red:far-red ratio fl 1‐12); ‘gap centre under cloudy skies’ (1‐5%, ratio fl 1‐03); and ‘gap edge’ (2‐5%, ratio fl 0‐6). Seedlings grown under the gap centre (clear sky) regime had significantly greater height growth, greater specific leaf mass, higher root:shoot ratio, greater investment in roots, higher leaf nitrogen concentrations, greater chlorophyll a:b ratio, lower photosynthetic rates under dim light, higher maximum photosynthetic rate, higher stomatal conductance, and lower leaf internal CO # concentrations compared with those grown in either gap edge or gap centre (cloudy) regimes. Responses to the gap edge as. gap centre (cloudy) treatments dier little, suggesting that shade acclimation in forest maple seedlings is mainly a response to light intensity rather than spectral quality. The ubiquitous and, except for leaf internal CO # concentration, highly significant interspecific variation in traits was broad-ranging and continuous. These results suggest that (1) the responses to light quality found in shade intolerant herbaceous and woody species growing in more open habitats may not have a selective advantage in seedlings of shade tolerant forest trees, and (2) the adaptive plastic response to understorey as. gap environments in forest maples, which is qualitatively consistent across species, is founded on co-ordinated, small shifts in sets of functionally inter-related traits. # 1998 Annals of Botany Company
Determining hyperbolicity of compact orientable 3-manifolds with torus boundary

Thurston's hyperbolization theorem for Haken manifolds and normal surface theory yield an algorithm to determine whether or not a compact orientable 3-manifold with nonempty boundary consisting of tori admits a complete finite-volume hyperbolic metric on its interior. A conjecture of Gabai, Meyerhoff, and Milley reduces to a computation using this algorithm.
Primary production and eddy correlation measurements of CO2 exchange over an intertidal estuary

Field measurements by eddy correlation indicate an average CO2 uptake of 1.9 g C m−2 d−1 by the intertidal Wadden Sea estuary in spring 2008. The flux did not show a dependency on the tide and fluxes during high and low tide were comparable. We hypothesize that biological production in the water column and in microbial mats that cover sediments lead to an undersaturation of CO2 that is strong enough to support the observed fluxes. The total carbon uptake by this intertidal estuary from day of the year 101–168 is estimated to be −1.7 Tg C. Extrapolation of this flux over three months in spring suggests that the uptake of CO2 by this estuary over this period is comparable to 24% of the yearly carbon flux over the North Sea and the European estuaries.
Effects of habitat types on population-and individual-level performance of an invasive plant species Tithonia diversifolia

Expanding processes of alien invasive plant species play an important role in determining their distribution.These processes are affected by various factors in the invaded communities.Tithonia diversifolia,as one of the most serious invasive plant species in Yunnan Province,has attracted attention from ecology,agriculture,and the environment.To answer the relationships between population-and individual-level characteristics of T.diversifolia and habitat types,we conducted an investigation and an experiment.We surveyed the exotic's relative cover,relative density and height in the communities dominated by T.diversifolia(H1),T.diversifolia and Chromolaena odorata(H2),and T.diversifolia and Ageratina adenophora(H3),respectively,using ten 1×1 m2 plots per habitat.The relative cover and relative density of T.diversifolia were significantly higher in the H1 than in the H2 and H3;the height of T.diversifolia was significantly higher in the H1 than in the H3,but not in the H2;H2 and H3 exhibited similar relative cover,relative density,and height.A field experiment was conducted to identify individual-level responses of T.diversifolia to microclimate,soils,and competition,each with two levels(i.e.,shrubland microclimate and grassland microclimate,shrubland soil and grassland soil,and with and without competition). There were ten replicates for each combination.A dominant native species Neyraudia reynaudiana was chosen to compare its responses with ones of T.diversifolia. We created growth containers,changed the soils,and transplanted experimental seedlings.At the end of this experiment,we determined height and leaf number of T.diversifolia and N.reynaudiana. The interactions of microclimate,soils and competition significantly affected the height,but not number of leaves of T.diversifolia,and the height and number of leaves of T.diversifolia did not respond to microclimate,soils,and competition alone.There were some differences in individual responses between T.diversifolia and N.reynaudiana. These findings are showing that multiple factors determine the habitat association of T.diversifolia.
CLADISTIC ANALYSES OF THE ANIMAL KINGDOM

Abstract A recently published book on the phylogeny of the animal kingdom, written by the first author, provided a classification based on a ‘manual’ cladistic analysis at the phylum level. We have extracted a data matrix consisting of 61 characters for 32 phyla from this book and treated it in more formal analyses using three different parsimony programs. Following a posteriori weighting, one cladogram emerged as the most parsimonious explanation of the data. This cladogram is compared to those in recent publications. Congruence is greatest with the phylogeny published by the first author, as the monophyly of 18 of the 21 supraphyletic categories proposed therein are supported in our cladogram. The exceptions are Aschelminthes, Protornaeozoa and Neorenalia, but the latter group does emerge as a monophyletic taxon in a number of equally parsimonious, equally weighted trees. Comparisons with other recent phylogenies show varying degrees of divergence, especially concerning the monophyly of Spiralia and Articulata, both of which are advocated in the present paper. Significant characters of most of the supraphyletic taxa proposed by the first author are discussed.
Combinatorial Optimization On Massive Datasets: Streaming, Distributed, And Massively Parallel Computation

With the emergence of massive datasets across different application domains, there is a rapidly growing interest in solving various optimization problems over immense amounts of data. To cope with the sheer size of these big data problems, one needs to design algorithms that are highly efficient in their resource usage: for example, their internal memory in case of streaming algorithms, their communication overhead in case of distributed algorithms, and both memory and communication, as well as as rounds of computation for massively parallel algorithms. This in turn raises the following fundamental question:
The Productivity Impact of Business Mobility: International Evidence

The aim of this paper is to investigate the productivity impact of business visits, relative to traditional drivers of productivity enhancement, namely capital formation and R&D. To carry out the analysis, we combine unique and novel data on business visits sourced from the U.S. National Business Travel Association with OECD data on R&D and capital formation. The resulting unbalanced panel covers on average 16 sectors per year in 10 countries during the period 1998-2011 (2,262 observations). Our results suggest that mobility through business visits is an effective mechanism to improve productivity. The estimated effect is about half as large as investing in R&D, supporting viewing business visits as a form of long-term investment rather than pure consumption expenditure. In a nutshell, our outcomes support the need to recognize the private and social value of business mobility.
EFFECT OF EDIBLE COATINGS OF CARBOXY METHYL CELLULOSE AND CORN STARCH ON CUCUMBER STORED AT AMBIENT TEMPERATURE

Edible coating has been used for preserving the quality and safety of fresh fruit and vegetables. The ability of polysaccharide-based (carboxy methyl cellulose and corn starch) coatings to extend the shelf life and quality of cucumber fruit during storage at ambient temperature of 25-28 o C and relative humidity of 83-95% was investigated . The results indicated that coated cucumber showed a significant delay in weight loss, firmness, pH, total soluble solids, ascorbic acid and total microbial counts compared to uncoated ones. Sensory evaluation results showed that coatings maintained the visual quality of the cucumber during the storage time. The results suggested using carboxy methyl cellulose and corn starch can extend the shelf life of cucumber during storage in ECS for 7 weeks.
Voltage Stability of Low-Voltage Distribution Grid with High Penetration of Photovoltaic Power Units

Voltage stability analysis of power distribution systems with high photovoltaic (PV) penetration is a challenging problem due to the stochastic generation of a solar power system. Voltage stability is an important benchmark for defining PV’s penetration level in active distribution networks considering loading capacity. The massive integration of PV power units, the effect of distribution system characteristics, like high ratio of R/X, and the reported collapses in power networks come up in serious studies that investigate their impact and upcoming problems on distribution networks. Therefore, this paper proposes analytical voltage stability and it is implemented on IEEE 34 nodes radial distribution systems with 24.9 kV and 4.16 kV voltage levels. In this regard, in addition to given properties in stability and power loss analysis, a penetration coefficient for PVs is considered. Simulation results prove that the applied method can illustrate the positive and negative effects of PV in distribution networks.
Using the Supply-Chain Management for Developing Oil Indiutries in the Republic of Kazakhstan

Abstract- The oil and gas industry is involved in a global supply-chain that includes domestic and international transportation, ordering and inventory visibility and control, materials handling, import/export facilitation and information technology. Thus, the industry offers a classic model for implementing supply-chain management techniques. In a supply-chain, a company is linked to its upstream suppliers and downstream distributors as materials, information, and capital flow through the supply-chain. The purpose of this paper is to investigate the role of supply-chain management in the oil and gas industry. The challenges of a growing innovative economy impose the need to consider the context of the analyzed area with the characteristics of a mono-raw oil and gas group in a sparsely populated territory by supply chain strategy. The paper considers the key factors for reducing costs and increasing the company’s profits in managing supply chains: demand management, efficient distribution of petroleum products among customers, better transportation scheduling, warehouse management, and quality and timeliness of information through the automation of the supply chain. Revising the ways to expand the production capabilities will ensure the achievement of sustainable development of the Atyrau region not only in the medium but also in the long-term perspectives when oil is replaced by other sources, which will make the region less attractive for investors. Results show that implementation of supply-chain management in the oil industry can help to reduce costs, increase the company’s profits in managing supply, and manage the planning of deliveries.
Physicochemical properties and the extraction process of natural melanin from Auricularia polytricha

Auricularia polytricha (A. polytricha) is a kind of edible fungus with high nutritional value, and melanin is one of its main active components. However, the research and application of melanin in A. polytricha has been neglected for a long time. The purpose of this study was to analyse the physicochemical properties of the melanin from A. polytricha and establish a cellulase-ultrasonic synergistic extraction process of A. polytricha melanin by orthogonal array and response surface design. Scanning electron microscopy (SEM), ultraviolet-visible spectroscopy (UV-Vis), infrared spectroscopy (IR), electron paramagnetic resonance spectroscopy (EPR) and elemental analysis were used to characterize the melanin. The stability and antioxidant activity of the melanin were also measured. The results showed that A. polytricha melanin is an eumelanin and displays a bulk amorphous morphology. The melanin had good stability in heat and light, and it also exhibited good antioxidant activity. The optimized extraction process of A. polytricha melanin was as follows: enzyme-tosubstrate ratio (E/S) of 1.4%, enzymolysis temperature of 35°C, enzymolysis pH of 4.0, enzymolysis time of 80 min, NaOH concentration of 0.68 mol/L, solid-to-liquid ratio of 1:40 (g/mL), ultrasound power of 350 W, ultrasonic time of 62 min, and ultrasound temperature of 70°C. The results will be helpful for the efficient production of A. polytricha melanin and its application as a food colouring as well as antioxidant agent.
Why 'state of the art' monetary theory was unable to anticipate the global financial crisis: a child's guide

â€˜State of the artâ€™ monetary theory was unable to anticipate or understand the global financial crisis because it rested on microeconomic foundations that precluded any meaningful role for money, finance or banking. These analytical and conceptual flaws have been known for a long time. But many either ignored or misunderstood their implications. This note provides a largely non-technical explanation of the conceptual flaws in â€˜state of the artâ€™ monetary theory that rendered it unable to anticipate, or understand, the global financial crisis of 2007â€“2008; and rendered it thereafter effectively useless as a guide to what should be done.
A survey of Higher Vocational Students' upward Comparative Parenting

This study is aim at investigate the current situation of higher vocational students receiving upward comparative parenting and the differences in upward comparative parenting among higher vocational college students with different demographic variables. By using the self-designed upward comparative parenting questionnaire to survey 1075 higher vocational college students, the results show that: In general, higher vocational college students receive the highest frequency of upward Comparative Parenting (2.95 ± 1.57) on the level of learning diligence, and the frequency of upward Comparative Parenting (2.62 ± 1.27) for male higher vocational students is higher than that for female students (2.39 ± 1.17). The subjects from urban areas (2.56 ± 1.29) were significantly higher than those from rural areas (2.39 ± 1.14). Conclusion: upward comparative parenting is a common phenomenon among higher vocational college students in China.