Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Research through Design in Animal Computer Interaction

This paper explores Research through Design (RtD) as a potential methodology for developing new interactive experiences for animals. We present an example study from an on-going project and examine whether RtD offers an appropriate framework for developing knowledge in the context of Animal-Computer Interaction, as well as considering how best to document such work. We discuss the design journey we undertook to develop interactive systems for captive elephants and the extent to which RtD has enabled us to explore concept development and documentation of research. As a result of our explorations, we propose that particular aspects of RtD can help ACI researchers gain fresh perspectives on the design of technology-enabled devices for non-human animals. We argue that these methods of working can support the investigation of particular and complex situations where no idiomatic interactions yet exist, where collaborative practice is desirable and where the designed objects themselves offer a conceptual window for future research and development.
Cellular and Molecular Properties of Neurons Modeling the diversity of spontaneous and agonist-induced electrical activity in anterior pituitary corticotrophs

X Patrick A. Fletcher, Hana Zemkova, Stanko S. Stojilkovic, and Arthur Sherman Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland; Department of Cellular and Molecular Neuroendocrinology, Institute of Physiology, Academy of Sciences of the Czech Republic, Prague, Czech Republic; and Section on Cellular Signaling, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
Software Tools for Low-Level Software and Operating Systems Classes

Low-level software is a particularly challenging topic to learn. In this paper, we present a framework and an application that makes the task of understanding system level software and hardware simpler. Traditional analysis tools, such as profilers and debuggers, are either too difficult to use in these situations, or are simply not available. Hardware interactions, which are typical of low level software, make the challenge of understanding even more complicated. The tools we have built provide a view into the workings of such systems in both a simulation environment and on real hardware. The motivation for our framework, and the visualization tools that use it, is the teaching of an undergraduate level operating systems course. We discovered while teaching this course that many students struggled with the low-level environment and concepts of the course. We decided then to develop a set of applications and utilities to help students understand the inner working of the systems they were dealing with.
Getting by, getting back, and getting on: Matching mental health services to consumers' recovery goals.

OBJECTIVE The goal of this study was to better understand mental health recovery from the point of view of mental health consumers to identify opportunities for practice improvements that closely align services with consumer goals and consumer-preferred outcomes. METHOD As part of an exploratory study of recovery, semistructured interviews were conducted with 177 integrated health plan members diagnosed with schizophrenia, schizoaffective disorder, bipolar disorder, or affective psychosis. Transcripts of in-depth interviews were coded using Atlas.ti, and definitions of recovery were further subcoded. A qualitative analysis using a modified grounded theory approach and constant comparative method identified common themes and less common but potentially important recovery-related experiences and perspectives. RESULTS Three primary and 2 cross-cutting themes emerged. "Getting by" meant coping and meeting basic needs. "Getting back" meant learning to live with mental illness. "Getting on" meant living a life where mental illness was no longer prominent. Regaining control and recouping losses were cross-cutting themes. CONCLUSIONS/IMPLICATIONS FOR PRACTICE Mental health recovery is complex and dynamic; individuals' recovery goals can be expected to change over time. Person-centered care must accommodate changing consumer priorities, services must be flexible and responsive, and outcomes need to match consumers' objectives. Clinicians can assist in (a) identifying recovery goals, (b) monitoring progress toward and recognizing movement away from goals, (c) tailoring support to different phases/stages, and (d) supporting transitions between phases/stages. (PsycINFO Database Record
Expression and characterization of a truncated murine Fc gamma receptor

We have isolated a recombinant secreted Fc gamma R beta molecule by deletion of the transmembrane and cytoplasmic domains encoding sequence from a Fc gamma R beta 1 cDNA clone, and insertion of the truncated cDNA into a eukaryotic expression vector, pcEXV-3. To express and amplify the production of the truncated Fc gamma R beta molecule, we transfected the truncated cDNA plasmid into a dihydrofolate reductase- minus CHO cell line along with a dhfr minigene, and amplified the gene products with methotrexate. The resulting cell line secretes 2-3 micrograms/ml/24 h of truncated Fc gamma R beta, which can be readily purified by affinity chromatography on IgG-Sepharose. The truncated Fc gamma R beta has a Mr of 31-33,000 on SDS-PAGE and is glycosylated. N- glycosidase F cleavage reduces the Mr to 19,000, consistent with the size of the truncated product, 176 amino acid residues. There are two disulfide bonds in the protein. Binding of immune complexes formed between DNP20BSA and anti-DNP mAbs reveals better binding of IgG1 aggregates than that of IgG2b and IgG2a aggregates. The binding of the immune complexes was somewhat better at more acidic pH, in contrast to previous experiments with binding of purified Fc gamma R to immune complex-coated beads. We were surprised to observe that the truncated Fc gamma R beta did not react with the anti-Fc gamma R mAb 6B7C. Previous work had shown that 6B7C reacts with Fc gamma R on immunoblots, fails to bind to the surface of resting B cells and peritoneal macrophages, but does bind to macrophage cell lines and LPS- stimulated B cells. We show, by binding of mAb 6B7C to a peptide conjugate, that the 6B7C epitope lies within residues 169-183 of the intact Fc gamma R beta, which is just outside the plasma membrane. The availability of the truncated Fc gamma R beta in microgram quantities should facilitate further analysis of structure and function of these receptors.
Physical audio digital filters

We propose an approach to insert physical objects in audio digital signal processing chains, filtering the sound with the acoustic impulse response of any solid measured in real-time. We model physical objects as a linear time-invariant system, which is used as an audio filter. By interacting with the object or with the measuring hardware we can dynamically modify the characteristics of the filter. The impulse response is obtained correlating a noise signal injected in the object through an acoustic actuator with the signal received from an acoustic sensor placed on the object. We also present an efficient multichannel implementation of the system, which enables further creative applications beyond audio filtering, including tangible signal patching and sound spatialization.
Prevention and Treatment of Postoperative Pain after Lumbar Spine Procedures: A Systematic Review

In the past 2 decades, in developed countries, spine procedures (surgical and percutaneous) had the highest absolute increase in case volume trend. The optimal approach to prevent and treat postoperative pain is continuously evolving. This systematic literature review presents evidence on safety and efficacy of pharmacological and nonpharmacological therapies to prevent and treat postoperative pain after lumbar spine procedures.
Investigation of Fe O Core/Mesoporous SiO Shell Microspheres Based on Mössbauer Spectroscopy

The Fe O core/mesoporous SiO shell (Fe O @SiO ) microspheres were prepared by a solvothermal reaction method. The crystal structure was determined to be cubic spinel with lattice constant of 8.395 for core Fe O . Based on transmission electron microscopy (TEM) measurements, the core of Fe O particle diameter is 300–500 nm and shell thickness of 50 nm. From the magnetic hysteresis curves measured under 10 kOe, magnetization of Fe O andFe O @SiO microspheres is determined to be 77.0 and 17.0 emu/g, respectively, at room temperature. The M-T curve confirmed that the magnetic moment transition temperature was around 110 K in Fe O and 32 K in Fe O @SiO . The Mossbauer spectra of the samples were analyzed with three six-line hyperfine patterns. It is noticeable that from the Mossbauer absorption area ratio between and sites, the area ratio of sextet increases from 40:60 for Fe O to 56:44 for Fe O @SiO , respectively. The Fe valence state of site was determined to be ferric, and site was ferric ( site) and ferrous ( site) from the isomer shift values. Index Terms—Fe O @SiO , Mossbauer spectroscopy, transition temperature, transmission electron microscopy (TEM).
Absence of NsiI Polymorphism in Growth Hormone Receptor (GHR) Gene in Indian Cattle Breeds

The objective of the present study was to investigate the polymorphism in 5′ non-coding region of growth hormone receptor (GHR) gene in Sahiwal (n = 53) and Hariana (n = 50) cattle using NsiI/PCR-RFLP assay. Amplification of DNA sample revealed 302bp product using specific primer pairs and digested by using NsiI restriction enzyme. All the screened animals were found monomorphic in nature for GHR/NsiI polymorphism. It revealed that only one type of uncut banding pattern (AA genotype); which was of 302bp. We could not identify any animal with GG and AG genotypes. Consequently, we could not perform association studies with milk production traits.
Recovering 3D Human Poses and Camera Motions from Deep Sequence

In this paper, we propose a novel method for recovering 3D human poses and camera motions from sequential images by using CNN and LSTM. The human pose estimation from deep learning has been studied extensively in recent years. However, the existing methods aim to classify 2D human motions in images. Although some methods have been proposed for recovering 3D human poses recently, they only considered single frame poses, and sequential properties of human actions were not used efficiently. Furthermore, the existing methods recover only 3D poses relative to the viewpoints. In this paper, we propose a method for recovering 3D human poses and 3D camera motions simultaneously from sequential input images. In our network, CNN is combined with LSTM, so that the proposed network can learn sequential properties of 3D human poses and camera motions efficiently. The efficiency of the proposed method is evaluated by using real images as well as synthetic images.
La base de données Baobab : un outil pour modéliser la production et la santé des petits ruminants dans les systèmes d'élevage traditionnels au Sénégal

La base de donnees relationnelles Baobab a ete construite pour faciliter les travaux de synthese et de modelisation sur la production et la sante des petits ruminants en elevage sedentaire traditionnel au Senegal. Elle regroupe les donnees recueillies dans quatre sites representatifs des principales zones agroecologiques d'elevage ovin et caprin, pendant 15 ans de suivis d'elevages utilisant le systeme d'information Panurge. Les donnees individuelles sont relatives a la demographie, a la croissance ponderale et a la sante. Des donnees sur les pratiques d'elevage et les prophylaxies collectives ont ete recueillies a l'echelle du troupeau. Le modele conceptuel des donnees (Mcd) a ete elabore selon la methode entite-relation Merise. La structure de la base de donnees a ete deduite du Mcd. Les donnees ont ete importees depuis Panurge dans la nouvelle base de donnees a l'aide de programmes comportant des procedures de correction et de controles. Baobab comporte 28 tables et occupe un espace disque d'environ 50 mega-octets pour 79 000 animaux recenses. Une nouvelle application a ete derivee du Mcd. Elle permettra de saisir et d'exploiter plus facilement les donnees provenant de suivis zootechniques individuels, en systemes sedentaires ou transhumants. Les perspectives d'utilisation de Baobab sont nombreuses et s'orientent selon deux axes principaux : i) la production de referentiels et de syntheses utilisables par les organisations de producteurs et les projets de developpement, et permettant les comparaisons entre pays et zones agroecologiques ; ii) la modelisation de la production animale, a l'echelle individuelle (genetique, epidemiologie) ou du troupeau (dynamique de population, aide a la decision). (Resume d'auteur)
Quantitative Study of Individual Emotional States in Social Networks

Marketing strategies without emotion will not work. Emotion stimulates the mind 3,000 times quicker than rational thought. Such emotion invokes either a positive or a negative response and physical expressions. Understanding the underlying dynamics of users' emotions can efficiently help companies formulate marketing strategies and support after-sale services. While prior work has focused mainly on qualitative aspects, in this paper we present our research on quantitative analysis of how an individual's emotional state can be inferred from her historic emotion log and how this person's emotional state influences (or is influenced by) her friends in the social network. We statistically study the dynamics of individual's emotions and discover several interesting as well as important patterns. Based on this discovery, we propose an approach referred to as MoodCast to learn to infer individuals' emotional states. In both mobile-based social network and online virtual network, we verify the effectiveness of our proposed approach.
miR-143-3p regulates cell proliferation and apoptosis by targeting IGF1R and IGFBP5 and regulating the Ras/p38 MAPK signaling pathway in rheumatoid arthritis

It has been demonstrated that the deregulation of microRNAs (miRNAs) affects the development of rheumatoid arthritis (RA). The primary objective of the current study was to determine the role of miR-143-3p in the progression of RA. The expression of miR-143-3p in synovium taken from patients with RA was assessed by reverse transcription-quantitative polymerase chain reaction. The expression of miR-143-3p was higher in synovium tissues of RA than that of osteoarthritis (OA). The decreased expression of miR-143-3p suppressed cell proliferation and promoted apoptosis in vitro. In addition, inhibition of miR-143-3p decreased levels of inflammatory cytokines, as determined by an enzyme-linked immunosorbent assay. IGF1R and IGFBP5 were found to be the target genes of miR-143-3p, and it was demonstrated that miR-143-3p regulated the proliferation and apoptosis of MH7A cells by targeting IGF1R and IGFBP5. Furthermore, TNF-α treatment stimulated the Ras/p38 mitogen activated protein kinase (MAPK) signaling pathway, whereas miR-143-3p inhibition suppressed it. The results of the current study indicate that miR-143-3p may regulate cell proliferation and apoptosis by targeting IGF1R and IGFBP5 expression and regulating the Ras/p38 MAPK signaling pathways. Therefore, miR-143-3p may be a novel therapeutic target in RA.
Simulation of a Capacitive Micromachined Ultrasonic Transducer with a Parylene Membrane and Graphene Electrodes

Medical ultrasound technology accounts for over half of all imaging tests performed worldwide. In comparison to other methods, ultrasonic imaging is more portable and lower cost, and is becoming more accessible to remote regions where traditionally no medical imaging can be done. However, conventional ultrasonic imaging systems still rely on expensive PZT-based ultrasound probes that limit broader applications. In addition, the resolution of PZT based transducers is low due to the limitation in hand-fabrication methods of the piezoelectric ceramics.
Predicting the Quality of Short Narratives from Social Media

An important and difficult challenge in building computational models for narratives is the automatic evaluation of narrative quality. Quality evaluation connects narrative understanding and generation as generation systems need to evaluate their own products. To circumvent difficulties in acquiring annotations, we employ upvotes in social media as an approximate measure for story quality. We collected 54,484 answers from a crowd-powered question-and-answer website, Quora, and then used active learning to build a classifier that labeled 28,320 answers as stories. To predict the number of upvotes without the use of social network features, we create neural networks that model textual regions and the interdependence among regions, which serve as strong benchmarks for future research. To our best knowledge, this is the first large-scale study for automatic evaluation of narrative quality.
Grouping species to model forest dynamics: a case study of a forest in the Central African Republic

Les modelisateurs ont pour habitude de simplifier la diversite specifique des forets denses tropicales humides en regroupant les especes. Les groupes ainsi constitues peuvent etre des groupes ecologiques possedant une signification biologique, ou bien, de maniere plus pratique, des groupes commerciaux presentant un interet economique. Sur le dispositif de M'Baiki, en Republique centrafricaine, sept groupes d'especes resultant d'un croisement entre cinq groupes ecologiques et cinq categories commerciales ont ete definis. Les groupes ecologiques ont ete constitues par la classification automatique sur la base des variables accroissement diametrique, taux de mortalite et taux de recrutement evaluees espece par espece. Un modele matriciel de dynamique forestiere a ensuite ete construit afin d'evaluer la pertinence des sept groupes finalement retenus. De fait, l'etat stationnaire du peuplement constitue de ces groupes est correctement predit par le modele, excepte pour un groupe qui se revele rassembler des especes dont les temperaments sont trop contrastes. (Resume d'auteur)
Detecting Adversarial Perturbations with Saliency

In this paper we propose a novel method for detecting adversarial examples by training a binary classifier with both origin data and saliency data. In the case of image classification model, saliency simply explain how the model make decisions by identifying significant pixels for prediction. A model shows wrong classification output always learns wrong features and shows wrong saliency as well. Our approach shows good performance on detecting adversarial perturbations. We quantitatively evaluate generalization ability of the detector, showing that detectors trained with strong adversaries perform well on weak adversaries.
Food shopping transition: socio-economic characteristics and motivations associated with use of supermarkets in a North African urban environment

Abstract Objective In the context of the nutrition transition and associated changes in the food retail sector, to examine the socio-economic characteristics and motivations of shoppers using different retail formats (large supermarkets (LSM), medium-sized supermarkets (MSM) or traditional outlets) in Tunisia. Design Cross-sectional survey (2006). Socio-economic status, type of food retailer and motivations data were collected during house visits. Associations between socio-economic factors and type of retailer were assessed by multinomial regression; correspondence analysis was used to analyse declared motivations. Setting Peri-urban area around Tunis, Tunisia, North Africa. Subjects Clustered random sample of 724 households. Results One-third of the households used LSM, two-thirds used either type of supermarket, but less than 5 % used supermarkets only. Those who shopped for food at supermarkets were of higher socio-economic status; those who used LSM were much wealthier, more often had a steady income or owned a credit card, while MSM users were more urban and had a higher level of education. Most households still frequently used traditional outlets, mostly their neighbourhood grocer. Reasons given for shopping at the different retailers were most markedly leisure for LSM, while for the neighbourhood grocer the reasons were fidelity, proximity and availability of credit (the latter even more for lower-income customers). Conclusions The results pertain to the transition in food shopping practices in a south Mediterranean country; they should be considered in the context of growing inequalities in health linked to the nutritional transition, as they differentiate use and motivations for the choice of supermarkets v. traditional food retailers according to socio-economic status.
Catalogue: graph representation of file relations for a globally distributed environment

Text-based search engines are widely used to find files in the Internet. However, the users require to understand contexts existing in files and notice appropriate keywords even if the users do not have deep insights of the topic. In addition, text-based search engines require exhaustive search to make keyword indexes. This paper proposes the concept of catalogue that represents relations among files based on grouping and associating by a directed graph. Grouping of files by a catalogue without any text label lets us notice some relations represented by the catalogue. Moreover, a directed graph within a catalogue which associates files can express more detailed relations. We design catalogue system that stores and shares catalogues globally in a distributed and autonomous way. Generalized graph expression of catalogues shared over the Internet bridges any owners, types, and fields of files as long as the files share a same relation. Various services such as digital museums and digital archives are expected to work on top of the shared catalogues.
Staphylococcus aureus Protein A induces osteoclastogenesis via the NF-κB signaling pathway

Staphylococcus aureus (S. aureus) is the most common organism causing osteomyelitis, and Staphylococcus aureus protein A (SpA) is an important virulence factor anchored in its cell wall. However, the precise mechanisms underlying the bone loss caused by SpA have not been well understood. The present study aimed to investigate the effect of SpA on osteoclast differentiation, and the probable mechanism was investigated. Raw264.7 cells were treated with SpA in the absence or presence of receptor-activated (NF)-κB ligand for 5 days, and morphological and biochemical assays were used to assess osteoclastogenesis and explore the underlying mechanisms. Data demonstrated that SpA induced osteoclast differentiation and promoted bone resorption in a dose-dependent manner in the absence or presence of RANKL. In addition, the expression of osteoclast-specific genes, such as the tartrate resistant acid phosphatase, matrix metalloproteinase-9, cathepsin K, calcitonin receptors and d2 isoform of the vacuolar ATPase Vo domain, were enhanced by SpA. Furthermore, the SpA-induced osteoclast differentiation was associated with the degradation of inhibitor of κB-α, phosphorylation of NF-κB p65 and increased expression of nuclear factor of activated T-cells. However, by treatment with JSH-23, an NF-κB inhibitor, the formation of osteoclast-like cells and resorption pits was significantly reduced, and the expression of osteoclast-specific genes was also inhibited. Collectively, in the present study SpA induced osteoclast differentiation, promoted bone resorption, and the NF-κB signaling pathway was involved in this process.