Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Instruments for Assessing Body Image in Preschoolers

Society has produced many idealized and unattainable standards of beauty. These may be internalized by young children, increasing the risk of body dissatisfaction, which is the strongest predictor of eating disorders. Prompted by this concern, the aim of the present research was to identify and analyze the instruments that have been used to measure body perception and body dissatisfaction in preschoolers. To this end, we reviewed 18 articles published between 2005 and 2017 and retrieved from the PsycINFO and MEDLINE databases. Our results indicated that the instruments used to assess body image comprise silhouette scales, interviews and questionnaires. The results suggest that body dissatisfaction is higher when assessed with silhouette scales compared to questionnaires and interviews in preschoolers. When developing instruments to assess preschoolers' body image, it is important to take their cognitive development into account.
deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets

This paper describes our system implementation for subtask V-oc of SemEval-2018 Task 1: affect in tweets. We use multi-task learning method to learn shared representation, then learn the features for each task. There are five classification models in the proposed multi-task learning approach. These classification models are trained sequentially to learn different features for different classification tasks. In addition to the data released for SemEval-2018, we use datasets from previous SemEvals during system construction. Our Pearson correlation score is 0.638 on the official SemEval-2018 Task 1 test set.
McWilliams, Daniel F. and Kiely, Patrick D.W. and Young, Adam and Walsh, David A. (2013) Baseline factors predicting change from the initial DMARD treatment during the first 2 years of rheumatoid arthritis: experience in the ERAN

Background: Outcomes in early Rheumatoid Arthritis (RA) may be improved by rapidly establishing a stable and effective disease modifying anti-rheumatic drug (DMARD) treatment regimen. We aimed to investigate whether baseline factors and initial treatment strategies are associated with changes to the first DMARD treatment, due to either Lack of Efficacy (LoE) or Adverse Drug Reaction (ADR) within 2 years of presentation. Methods: Reasons for changes from initial DMARD therapy within 2 years of baseline, and associated factors, were examined using logistic regression in data from the Early RA Network (ERAN) inception cohort. Results: Data were available for 766 participants. 410 (54%) changed their initial DMARD regime within 2 years, including 230 (56%) due to Lack of Efficacy (LoE) and 139 (34%) due to Adverse Drug Reaction (ADR). The first DMARD was recorded as methotrexate monotherapy in 336 (44%), sulphasalazine monotherapy in 273 (36%), or combined methotrexate/sulphasalazine/hydroxychlorquine in 52 (7%). Baseline predictors of changing DMARD (for all reasons) were HAQ-disability (aOR 1.44, 95% CI 1.12 – 1.86), poor mental health (aOR 1.44, 95% CI 1.16 – 1.78) and extra-articular disease (aOR 1.78, 95% CI 1.00 – 3.16). In this model, the triple combination therapy also predicted lower likelihood of DMARD change (aOR 0.30, 95% CI 0.12 – 0.79). Subgroup analyses showed that MTX monotherapy was associated with lower risk of change due to ADR. Combination therapy conferred lower risk of change due to LoE. Poor mental health was associated with change due to ADR, and extra-articular disease, HAQ-disability at baseline, and younger age predicted LoE. Conclusions: Our findings suggest that non-pharmacological interventions to improve disability and mental health, may reduce initial DMARD treatment failure.
Mapping Workspaces to Virtual Space in Work Using Heterogeneous Haptic Interface Devices

In networked haptic environments, users can touch objects in a virtual space and feel the weight of the objects by manipulating haptic interface devices (Srinivasan & Basdogn, 1997). Thus, we can largely improve the efficiency of collaborative work such as remote surgery simulation and immerse ourselves in playing networked games. On the other hand, a variety of haptic interface devices have been developed so far. The haptic interface devices have different specifications (e.g., the workspace size, position resolution, and exertable force) from each other. When we interconnect the devices over a network, the differences may cause some problems. There are a few papers addressing the problems (Hirose et al., 1998; Kameyama & Ishibashi, 2007; Fujimoto et al., 2008; Huang et al., 2008). In (Hirose et al., 1998), Hirose et al. develop basic software called Haptic Interface Platform (HIP), which does not depend on types of haptic interface devices. Then, they show that users do not notice meaningful differences in hardness in an experiment where the users recognize the hardness of an object although the users manipulate different types of haptic interface devices. In (Kameyama & Ishibashi, 2007), the authors clarify the influences of difference in workspace size between PHANToM Omni (Salisbury & Srinivasan, 1997) (just called Omni here) and PHANToM Desktop (Salisbury & Srinivasan, 1997) (called Desktop) for networked collaborative work and competitive work. They show that if the range of motion of a haptic interface device is not limited to a workspace which is smaller than the virtual space, there is no large influence of the difference on the efficiency of the collaborative work and the fairness of the competitive work. Otherwise, the efficiency of the collaborative work seriously deteriorates, and the fairness is damaged in the competitive work. In (Fujimoto et al., 2008), the authors handle collaborative work using Omni and SPIDAR-G AHS (Kim et al., 2003) (called SPIDAR). And they compare some methods of mapping workspaces to a virtual space. In (Huang et al., 2008), the authors treat collaborative work using Omni, Desktop, SPIDAR, and Falcon (Novint, 2007) when the size of a virtual space is small so that it is not necessary to map workspaces to the virtual space. However, the experiment with various haptic interface devices in the case where we need mapping (that is, the size of a virtual space is different from the size of each workspace) has not been performed. 33
Association of MTHFR Gene Variants with Autism

Autism is a complex neurodevelopment disorder with numerous possible genetic and environmental influences. We retrospectively examined the laboratory data of 168 children sequentially referred to our facility with a confirmed diagnosis of autism or pervasive developmental disabilities (PDD). Since folate and methylation (single carbon metabolism) are vital in neurological development, we routinely screened children for the common mutations of the methylenetetrahydrofolate reductase gene (MTHFR), which regulates this pathway. All children had polymerase chain reaction (PCR) DNA evaluation to determine the frequency of the 677 and 1298 common polymorphisms in the MTHFR gene. We observed a significantly increased frequency of the homozygous mutation 677CT allele (TT): 23% in the autistic children compared to 11% in the control population ( <0.0001). Additionally, the heterozygous 677CT allele (CT) was present in 56% of the autistic children compared to 41% in the control population ( <0.0001). Somewhat paradoxically, the normal 1298AA allele was significantly higher in the autistic group, 55%, compared to the controls, 44% ( <0.05). Despite the increased frequency of normal 1298AA alleles, the compound 677CT/1298AC heterozygous mutations were more prevalent in the autistic population, 25%, than in controls, 15% ( =0.01). Overall, the data show an increased risk of autism spectrum disorder (ASD) associated with common mutations affecting the folate/methylation cycle. These associations by themselves may provide a partial explanation for a subgroup of children genomically at risk for ASD disorders. Increased folinic acid during pregnancy and early development may offset the genomic risk factors, and this deserves further study. Further, since folate-dependent methylation provides, in part, the methyl group for inactivation of monoamine neurotransmitters via the catecholamine-O-methyltransferase (COMT) system, this observation may help to further differentiate subtypes within the broad phenotype of ASD. A search for additional genomic and environmental risk factors should be undertaken. In particular, the methylation/transsulfation and COMT pathways should be investigated. P
Design of Rare Disease Based Knowledge Model Net (RDKMN) in Schools Attended by Affected Students, as an Inclusive and Didactic Tool

Rare diseases (RD) are those affecting at least 1 of 2.000 inhabitants. Many RD, induce disabling conditions and those school age affected children usually miss classes due to the complicated diagnostic procedures and the several medical treatments they need, thereafter. It is still unknown the exact number of students in this situation in Navarra (Spain), although according to data from the INE [16], there should be at least 1300 children with disabilities from which at least 372 children in school age could be RD affected. These students should be able to be identified in schools, as the vast majorities need help at some point, derived in some cases from cognitive deficiencies but in others, from their absence of classes due to health complications. Some Rare Disease Affected Students (RDAS) also suffer from bullying due to the ignorance of their peers or even teachers, towards their situation. In this paper, the use of Cmap Tools software, together with a planned intervention in each school from Navarre, attended by at least, one RDAS, is proposed for creating knowledge models based on the specific RD affecting children in Navarre. This way, a RD based Knowledge Model Net (RDKMN) could be built, together with affected and non affected students, and this meaningful knowledge could be useful for any school attended by children suffering the same disease in Spain or other European countries. This could become a powerful international inclusive and didactic tool, which could help normalizing RD and including RDAS in the educational field, creating inclusive schools, and therefore spreading the knowledge to the social field.
Characterization of Beta-Tricalcium Phosphate (ÃÂ²- TCP) Produced atDifferent Process Conditions

β- TCP was synthesized by changing the process parameters and all samples were characterized in terms of density, porosity, XRD and FTIR analysis. Density rose and porosity decreased with rising of pH value and density found maximum (2.31 g/cc) at pH 10. Sharp peaks in the XRD diffractograms ensured the crystallinity of samples which increased after calcination and sintering process. Average crystal size was found 28.21 nm. IR spectrum at 943.19 cm-1 and 972.12 cm-1 appeared in FTIR analysis proved the presence of pure β- TCP exists in resulting samples. Performance to stress increased with pH and maximum compressive strength was found at pH 10. Calcination was found maximum 3.485 Nmm-2 at 900°C minimum 1.352 Nmm-2 at 800°C.
Grothendieck–Neeman duality and the Wirthmüller isomorphism

We clarify the relationship between Grothendieck duality à la Neeman and the Wirthmüller isomorphism à la Fausk–Hu–May. We exhibit an interesting pattern of symmetry in the existence of adjoint functors between compactly generated tensor-triangulated categories, which leads to a surprising trichotomy: there exist either exactly three adjoints, exactly five, or infinitely many. We highlight the importance of so-called relative dualizing objects and explain how they give rise to dualities on canonical subcategories. This yields a duality theory rich enough to capture the main features of Grothendieck duality in algebraic geometry, of generalized Pontryagin–Matlis duality à la Dwyer–Greenless–Iyengar in the theory of ring spectra, and of Brown–Comenetz duality à la Neeman in stable homotopy theory.
RESOLVING THE LIMB POSITION EFFECT

From a prosthesis user's viewpoint there is a wide range of challenges in prosthesis research, despite the recent progression in development and manufacturing of multifunction prostheses. A small part of these challenges has been solved during the work underlying this thesis.The scope of this thesis is to review and assess the existing methods used for proportional control, develop and demonstrate methods for artifact cancellation to increase the control reliability, design and implement a viable strategy for coordinated proportional control of multiple joints, suggest an unambiguous terminology for prosthesis control systems, and contribute to the clinical assessment of the results.The thesis is organized as a compendium of scientific papers.Paper A contains a pilot study of how to attenuate force induced artifacts in surface electromyography by measuring the external forces.Paper B contains a pilot study of the adverse effects of limb position on pattern recognition based myoelectric control, hereafter called the limb position effect. Papers C, D and E contain the continuation of this project. The limb position effect was resolved by using multiple limb positions in training of the control system, and further improvements were achieved by additional use of accelerometers as a measurement of the limb position (relative to gravity). It was demonstrated that these two solutions are efficient in normally limbed subjects. Inspired by this research, further studies on prosthesis users have been reported by others.Paper F contains a comprehensive review of proportional myoelectric control of upper limb prostheses. The main findings was that the composition of the training data set and the choice of training method and optimization criterion are topics that need to be addressed in future research. This paper also contains a review of terminology in prosthesis control systems, and an unambiguous terminology has been suggested; a work that may improve communication, increase the understanding of the subject and stimulate to more structured research.Paper G contains development and practical testing of simultaneous proportional control of two motor functions (wrist rotation and hand open/close). This required development of prosthesis guided training for proportional control, and design of a novel prosthesis socket (equivalent) for normally-limbed subjects.This thesis has contributed towards the long-term goal of offering an intuitive and robust control system to the end users of upper limb prostheses.
Capital Market, Severity of Business Cycle, and Probability of an Economic Downturn

This paper investigates the relationships of capital market, severity of economic contraction, and probability of an economic downturn. The finding supports a theoretical prediction that countries with more advanced capital markets would face less severe business cycle output contraction, and a lower chance of an economic downturn. The results hold even after controlling for other relevant variables, country specific effects, and state dependences. However, the marginal effects are small. Results are generated using panel estimation technique with panel data from 44 countries covering the years 1975 through 2004.
Lessons learned from radiation risk communication activities regarding the Fukushima nuclear accident

Introduction: The Fukushima nuclear disaster has brought numerous difficulties to the Japanese society, such as mental health issues, and secondary health issues during the recovery phase of the nuclear disaster. To promote a balanced public health policy, sound risk communication strategies are required. Methods: Risk communication guidelines and public health activities regarding radiation risk communication after the Fukushima nuclear disaster were reviewed within the scientific literature by using the PubMed electronic database for medical journals to clarify the current perception of the risk communication issues. Results: There was a consistent recognition of the applicability and importance of risk communication within the Fukushima accident, as was evident in each guideline and journal article which included both the MeSH Major Topics "radiation" and "communication" with the term ” Fukushima ” [All Fields]. Basic concepts of each Japanese risk communication guideline are consistent with guidelines issued by other international organizations. Discussion: These risk communication principles indicated in the guidelines were useful for establishing good practices in local communities to empower residents and strengthen community function, potentially reducing the secondary health impacts induced by the Fukushima accident. However, the strengths within social sciences are thought to create new challenges because the ethical, legal, and social implications (ELSI) are newly recognized difficulties within local public health activities regarding radiation risk communication, and there is only a limited number of articles focused on these relationships and radiation risk communication within the social sciences. The collaborative problem-solving strategy should be strengthened to deal with the difficult issues in local communities since ELSI are all within local public health activities regarding radiation risk communication. Therefore, a collaborative problem-solving strategy within social sciences is a challenge issue to study. Conclusions: Successful risk communication practices were helpful to the local community and supported by the local community. They were observable in local communities by employing the strategic approaches directed by a team organized with many experts in local issues, including local risk communicators. Established risk communication guidelines are helpful, especially regarding the ELSI of science and technology.
Evaluation of the Serum Levels of IL-1 in Type 2 Diabetic Patients with and without Diabetic Nephropathy

Background: Diabetic nephropathy (DN) has been regarded as an important cause of morbidity in patients with type 2 diabetes (T2D). Immune system components are modulated during T2D, with the most apparent modifications in adipose tissue, pancreatic islets, liver, and circulating leukocytes. The aim of this survey was to evaluate the role of IL-1 in the etiopathogenesis of nephropathic T2D. Methods: In this case-control investigation, the study population consisted of 58 T2D patients with proteinuria (nephropathy T2D cases) as the case group and 76 T2D cases without proteinuria (non-nephropathy T2D cases) as the control group. Blood samples were obtained from all individuals and ELISA approach was carried out to measure IL-1 levels in samples. Results: Our experiments demonstrated that T2D patients with nephropathy had significantly increased levels of IL-1 in their blood in comparison to T2D patients without nephropathy. Conclusions: It seems that IL-1 plays a role in the etiopathogenesis of nephropathy in T2D patients, requiring further implementation to vivid disclose of the inflammation in this context.
Gambogic acid inhibits LPS-induced macrophage pro-inflammatory cytokine production mainly through suppression of the p38 pathway

Objective(s): In traditional Chinese medicine, gamboge can detoxify bodies, kill parasites, and act as a hemostatic agent. Recent studies have demonstrated that gambogic acid (GBA) suppressed inflammation in arthritis, and also presented antitumor effect. Thus, this study investigated the new biological properties of GBA on macrophages. Materials and Methods: RAW 264.7 cells were pretreated with GBA at different concentrations (10, 20, 40, 80, 160, 320 nM) for 24 hrs, and then cell viability was measured using Cell Counting Kit (CCK)-8 assays. Pro-inflammatory cytokines such as TNF-α, IL-6 and IL-1β were determined using ELISA kits and qPCR. Then nitrite concentration was calculated according to a standard curve. At last, the effect of GBA on MAPK and NF-κB signaling pathways was assessed by western blot and luciferase reporter gene assay. Results: GBA (IC50: 260 nM) suppressed the TNF-α, IL-6 and IL-1β expression induced by lipopolysaccharide (LPS) in RAW 264.7 cells. The expression of TNF-α, IL-6 and IL-1β decreased to 30-50% and 70-75% in the high-dose (160 nM) and low-dose (40 and 80 nM) GBA groups, respectively. Furthermore, the nitric oxide (NO) production and the activation of NF-κB, ERK, and JNK pathways were significantly reduced in high-dose (160 nM) GBA only, while p38 pathway was inhibited at both low (40 and 80 nM) and high (160 nM) concentration of GBA. Conclusion: These data suggested that GBA inhibited LPS-induced production of pro-inflammatory cytokines including TNF-α, IL-6 and IL-1β mainly through the suppression of the p38 pathway.
A cross-level process theory of trust development in interorganizational relationships

Most research on trust in interorganizational relationships focuses on a single level of analysis, typically the individual or organizational level, and treats trust as a fairly static phenomenon. To stimulate more cross-level research, we propose a theoretical model that explains how trust in interorganizational relationships is related across various levels of analysis. At the same time, our model emphasizes the dynamic aspect of trust by examining how trust develops throughout consecutive relationship stages. Drawing from several programs of research, we identify the mechanisms that drive the progression of trust across levels as the interorganizational relationship unfolds. Starting with the boundary spanner as the key individual at the beginning of a new collaboration, we specify how trust gradually becomes part of the fabric of organizational action. By integrating micro and macro approaches over time, the proposed model contributes to a better understanding of how trust evolves in interorganizational relationships.
A Symbolic-Numeric Software Package for the Computation of the GCD of Several Polynomials

This survey is intended to present a package of algorithms for the computation of exact or approximate GCDs of sets of several polynomials and the evaluation of the quality of the produced solutions. These algorithms are designed to operate in symbolic-numeric computational environments. The key of their effectiveness is the appropriate selection of the right type of operations (symbolic or numeric) for the individual parts of the algorithms. Symbolic processing is used to improve on the conditioning of the input data and handle an ill-conditioned sub-problem and numeric tools are used in accelerating certain parts of an algorithm. A sort description of the basic algorithms of the package is presented by using the symbolic-numeric programming code of Maple.