Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Facet Models by Means of Factor Rotation: A Simulation Study and Data Analysis of a Test for the Berlin Model of Intelligence Structure

We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor analysis with subsequent Varimax, Equamax, Parsimax, Factor Parsimony, Tandem I, Tandem II, Infomax, and McCammon’s minimum entropy rotation. Samples drawn from oblique populations were submitted to factor analysis with subsequent Geomin rotation and a Promax-based Tandem II rotation. As a benchmark, we investigated a target rotation of the sample loadings toward the corresponding faceted population loadings. The three conditions were sample size (n = 400, 1,000), number of factors (q = 4-12), and main loading size (l = .40, .50, .60). For less than six orthogonal factors Infomax and McCammon’s minimum entropy rotation and for six and more factors Tandem II rotation yielded the highest congruence of sample loading matrices with faceted population loading matrices. For six and more oblique factors Geomin rotation and a Promax-based Tandem II rotation yielded the highest congruence with faceted population loadings. Analysis of data of 393 participants that performed a test for the Berlin Model of Intelligence Structure revealed that the faceted structure of this model could be identified by means of a Promax-based Tandem II rotation of task aggregates corresponding to the cross-products of the facets. Implications for the identification of faceted models by means of factor rotation are discussed.
Reducing Static and Impact Ice Adhesion with a Self-Lubricating Icephobic Coating (SLIC)

Ice accumulation and adhesion can problematically occur on many engineering systems, such as electrical power networks, wind turbines, communication towers, and aircraft. An optional solution to these icing problems is the use of surfaces/coatings with low ice adhesion properties: Icephobic surfaces. Icephobic surfaces/coatings are very beneficial, as they facilitate the removal of ice or retard its formation and do not require the use of any sort of energy. A compact icing research tunnel (CIRT) was employed to measure ice tensile adhesion strength for both impact and static ice on a conventional metal surface (aluminum) and on a Self-Lubricating Icephobic Coating (SLIC) surface. The static ice consisted of deionized water slowly poured over the surface and left to be frozen on the test specimen surface at stationary conditions, while impact ice consisted of droplets of mean volumetric diameter (MVD) of 13 μm impacting the test specimen surface at a velocity of 40 m/s and freezing and accreting dynamically. The results revealed that static ice has an ice tensile adhesion stress higher than that of impact ice for the conditions used, consistent with previous studies. Additionally, a reduction of more than half was observed in ice tensile adhesion stress for SLIC compared to aluminum for both impact and static ice, and this performance stayed consistent even after multiple icing tests on the same sample. The SLIC coating hydrophobicity (roll-off angle and contact angle) also demonstrated resilience to icing and mechanical abrasion, confirming the self-healing properties.
A T-box Protein Interacting with the TCF Transcriptional Switch of Wnt Signaling in Xenopus Dorsal Axis Development.

Specific DNA recognition by transcription factors is essential for proper gene regulation. The TCF family members are the major transcription factors mediating Wnt/β-catenin signaling. However, how TCFs recognize specific targets in the information rich genome is not fully understood. All TCFs share a highly conserved DNA binding domain, the High Mobility Group (HMG) domain, which binds to specific sequences in Wnt-dependent cis-regulatory modules (W-CRMs). However, this DNA binding alone seems insufficient for recognizing specific targets in vivo. It has been suggested that most invertebrate TCFs and certain vertebrate TCF isoforms utilize a bipartite DNA binding mechanism to enhance recognition specificity, which involves HMG binding to TCF sites, and a secondary DNA binding domain, known as the C-clamp, binding to its cognate motif, known as the Helper sites. However, most vertebrate TCF isoforms have lost the C-clamp during evolution. How these non-C-clamp TCFs locate specific targets remains an unexplored question in the field. To examine this question, I tested two hypotheses in this chapter. First, the HMG domain of non-C-clamp TCFs has increased binding affinity and specificity to endogenous targets compared to the HMG domain of C-clamp-dependent TCFs, allowing non-C-clamp TCFs bypass the assistance from the Cclamp domain. Second, non-C-clamp TCFs cooperate with other TFs to locate and 46 coordinate regulation of Wnt targets. My findings do not support the first hypothesis by showing that LEF1, a vertebrate TCF lacking a C-clamp, could not activate fly W-CRMs, however, when fused with a C-clamp domain, LEF1-C-clamp chimeric protein was able to activate fly W-CRMs in vivo, suggesting the HMG domain of LEF1 is insufficient and still requires C-clamp to recognize Wnt targets in flies. To address the second hypothesis, I analyzed the Siamois W-CRM sequence by a mutagenesis screening, and found that additional DNA motifs besides TCF sites influence Wnt-dependent activation of Siamois reporter in HEK293T cells. Further studies need to be done to identify the TFs binding to the identified motifs and the mechanism of how they affect Siamois W-CRM activity (see Chapter 3).
What kind of populism? Tone and targets in the Twitter discourse of French and American presidential candidates

Insurgent candidates from across the political spectrum are increasingly turning to social media to directly engage the public. Social media offer a platform that favours affect and personality, both key components of populist-style rhetoric, a label that is often attached to politicians outside the political establishment. Despite noteworthy exceptions, few cross-national studies of high-profile candidates’ use of social media exist, and even less is known about how candidates representing various political ideologies employ affect alongside populism. To advance the state-of-the-art, this study examines the sentiment and rhetorical targets of attack in the Twitter feeds (N = 25,825 tweets) of six presidential candidates in the United States and French election campaigns of 2016 and 2017. Employing dictionary-based quantitative analysis, the study finds variation among the candidates’ rhetoric in terms of how they employ populist themes, affect and ideology. The findings suggest that scholars should consider a more nuanced approach to populism in late-modern democracies.
Antifungal activity of newly isolates of lactic acid bacteria.

A total of 54 strains of lactic acid bacteria isolated from silage, camel milk and carrot were screened for antifungal activity with overlay and confrontation assay. Six of them, belonging to the genera Lactobacillus, Lactobacillus plantarum and farciminis strains produce antifungal compounds active against Aspergillus spp. , Fusarium roseum, Trichoderma spp. , Penicillium spp. and Stemphylium spp. Approximately 16.66% of the isolates showed inhibitory activity against Aspergillus spp. The antifungal compounds were originated from organic acids, the maximum antifungal activity was observed at pH 2.0, but it decreased at pH 3.0÷7.0. Inhibitory activity did not change after treatment with proteolytic enzymes, heating, refrigeration and freezing. No inhibitory activity could be detected against the mould Aspergillus spp. with non-concentrated cell free supernatant and volatile substance.
Cost-effectiveness analysis of interventions to achieve universal health coverage for schizophrenia in Mexico

Introduction. To achieve universal coverage in mental health, it is necessary to demonstrate which interventions should be adopted. Objective. Analyze the alternatives of pharmacological and psychosocial treatment in Mexico for patients diagnosed with schizophrenia, as well as Early Intervention in Psychosis Program. Method. The Extended cost effectiveness analysis (ECEA), it is implemented under scenario the option of treatment in Mexico, which includes: typical or atypical antipsychotic medication plus psychosocial treatment, assuming that all the medications will be provided to the patient, a measure of effectiveness is the years of life adjusted to disability (DALYs). Results. The effect of Universal Public Financing (UPF) is reflected in avoiding 147 DALYs for every 1,000,000 habitants. In addition, has a positive effect in the avoided pocket expenditures from US $ 101,221 to US $ 787,498 according to the type of intervention. Increasing government spending has a greater impact on the poorest quintile, as a distributive effect of the budget is generated. Respect to the value of insurance, the quintile III is the one who is most willing to pay for having insurance, on the other hand, in the highest income quintile, the minimum assurance valuation was observed. Discussion and conclusion. The reduction in out-of-pocket spending is uniform across all quintiles; “Early Intervention in Psychosis Program” is not viable for middle income countries, as México. The ECEA is a convenient method to assess the feasibility and affordability of mental health interventions to generate information for decision makers.
Research on User Influence Model Integrating Personality Traits under Strong Connection

User influence has always been a major topic in the field of social networking. At present, most of the research focuses on three aspects: topological structure, social-behavioral dimension, and topic dimension and most of them ignore the difference between the audience. These models do not consider the impact of personality differences on user influences. To meet this need, this paper introduces the personality traits factor and proposes a user influence model which integrates personality traits (IPUIM) under a strong connection. The user influence measurement is constructed through the information dimension, structural dimension, and user behavioral dimension. The personality report of the user group is obtained by means of NEO-PI-R (The big five personality inventory, Chinese edition) and machine learning method, and it is integrated into the user influence model. The experiment proves that the model proposed in this paper has good accuracy and applicability in measuring user influence, and can effectively identify the key opinion leaders of different personality trait clusters.
Factor Score Regression in Connected Measurement Models Containing Cross-Loadings

ABSTRACT Factor Score Regression (FSR) methods have received increased interest in the quantitative literature, with Croon’s bias-correcting method gaining particular traction. By fixing measurement parameters in place in an initial step, FSR methods aim to stymie the proliferation of bias in larger structural models that may contain misspecification. Although Croon’s approach was originally derived for factor models exhibiting simple structure and conditionally independent unique factors, Hayes and Usami recently extended this method to connected measurement models featuring correlated uniquenesses. In this article, we demonstrate that their formulas also correct bias in models that feature cross-loadings. We begin by discussing bias in SEMs that incorrectly impose simple structure. We then describe Croon’s approach in connected measurement models featuring cross-loadings and compare its performance to two other state-of-the-art FSR approaches both analytically and via a simulated demonstration.
Muscle fibre types in hamstring muscles of one-humped camel Camelus dromedaries

The fibre types of Biceps femoris, Semimembranosus and Semitendinosus muscles in the pre-natal and post-natal one-humped camel were determined histochemically. Thirty-eight fetuses and 24 adult dromedary camels were used in this study. The results showed that the three muscle fibre types in the pre-natal camel were not developed to be distinguished. While, the muscle fibre types were found in the post-natal muscles and classified as type I (slow-twitch oxidative), type IIA (fasttwitch high oxidative) and type IIB (fast-twitch fibres). The ratio of type I to type II was found to be almost equal at the 1 st year. The ratio shifts to type I as the animal
Revolutionising Poster Presentations through Digital Technology

ポスターによるプレゼンテーションは，学術会議におけるプレゼンテーションのツールとしても，また教室での学習機器としても，格下の扱いを受ける場合が少なくない。 21世紀が第三の10年間を迎え，デジタル技術の発展が世界中のコミュニケーションを深化させ続けている今日，ポスターによるプレゼンテーションが，依然として紙や布という媒体を使い，おしなべて静的な表現手法に留まっているのは時代遅れのように見える。 会議でのプロファイルを向上させるために，ポスターによるプレゼンテーションが，旧来の素材フォーマットによる制約から脱却し，モバイルのデジタル技術を駆使する時代が到来している。 より聴衆を引きつけるプレゼンテーション・スタイルを作り出す，インタラクティブな技術を利用することで，ポスターによるプレゼンテーションはデジタルモバイルの時代に突入できることだろう。 本論文では，紙または布のみを用いる現在のポスターの表現方法が，どうして時代遅れとなり，現代のデジタル世界とのつながりを失ってしまったかを明らかにする。 また，プレゼンテーションの成果が，デジタル媒体に有効に対応し効果的なものとなるために，デジタルポスターのデザインに含むべき重要な検討事項を概説する。
The Effect of Electronic Educational Assessment Environment (Navigation and Content) on Students' Intention to use MOBILE BASED ASSESSMENT from Motivational Perspective View

Mobile based assessment (MBA) specifically in the context of mobile learning is still in its infancy. Many previous studies had addressed the influencing factors of user acceptance and intention to use MBA. In order to adopt MBA in an educational environment, the influencing factors to student intention need to be investigated. Hence, this current study attempts to determine the impact of the factors related to internal assessment environment on the tertiary-level students’ intent to use MBA from the standpoint of the motivation factors. A total of 90 mathematics and computer science undergraduates participated in a survey on the adoption of MBA after a real experiment of mobile based assessment. Data analysis used the structural equation modeling (SEM). The findings reveal that the students’ intention to adopt MBA can be predicted and explained by several key motivational drivers i.e. Usefulness, Ease of Use and Enjoyment. Based on the findings, motivation to learn, educational assessment content, and the navigation system design of MBAs can be enhanced by satisfying the three aforementioned motivational factors.
Morphological diversity in Hordeum spontaneum C. Koch of northern Jordan (Ajloun area).

The objectives of this study were to locate and collect wild barley accessions of the species (Hordeum spontaneum C. Koch) from certain regions in northern Jordan (Ajloun area) to characterize the morphological diversity of the collected barley accessions. Fifty samples representing five populations of Hordeum spontaneum C. Koch from northern Jordan (Ajloun area) were included in this study and were subjected to analysis for the number of roots character, plant height, spike length, root length, grain width, number of grains per spike, grain length, number of leaves and the number of days for flowering. Significant variation between samples of the whole collection was observed for all of the measured quantitative characters. Based on the calculated coefficient of variation, the number of roots character expressed the highest variability (C.V. ~ 48%) and was followed by plant height (C.V. ~ 35%), spike length, root length, grain width, number of grains per spike, grain length, number of leaves and the number of days for flowering respectively. Species Hordeum spontaneum C. Koch has considerable amounts of variation for investigated morphometeric characters, which can be useful in selecting for these characters especially for spike length, root number and plant height in the arid regions of Jordan.
PRAXIS AND LANGUAGE ORGANIZATION IN LEFT-HANDERS

The performance of learned manual gestures (praxis) and the production of speech are thought to depend on related neural processes. If this relationship is not invoked by an unknown, third variable then shifts in their laterality, including dissociations of these two functions, would be unlikely unless the sharing of some neural resources with other functions is advantageous. This could be the case in lefthanders, in whom actions requiring manual precision are controlled by their right hemispheres, and whose representations could attract the control of skilled gesture. Functional neuroimaging (fMRI) was used to study praxis and language functions. Their lateralization indices were measured in 56 consecutively tested lefthanders (28 females), with the mean age of 23.3±4.9 years (range 18.4 – 47 years), and an Edinburgh Handedness Inventory quotient between –100 and –55.6 (with the mean of –83.8±14.2). We show that atypical, bilateral organization or right-lateralization of praxis is more common than atypical organization/lateralization of language, observed, respectively, in 23 (41%) vs. 15 (26.8%) of cases. Specifically, we found: (a) seven cases (12.5%) of clear, and an additional three cases (5.4%) of less pronounced dissociations of atypically represented praxis from typically represented language; (b) 13 cases (23.2%) with atypically organized praxis also associated with atypically organized language, and (c) only two cases (3.6%) of rather strongly atypical lateralization of language, yet with quite typical lateralization of praxis. These outcomes are consistent with an idea that, in some lefthanders, the guidance of skilled manual actions can profit from tighter links with the right hemisphere, whose motor specialization is linked in this particular population to manual precision, but in general to attentional resources, visuo-spatial processing and even bimanual coordination. Because of the presumed links of praxis with productive language, such transfers are often, and unsurprisingly accompanied by the reorganization of the latter. Yet, the very rare cases of reversed language functions, without any pronounced shifts in representations of praxis, indicate that such a pattern of segregation – or inverse dissociation – of these two functions could be maladaptive.
Índices de vegetação do Sensoriamento Remoto para processamento de imagens na faixa do visível (RGB)

E de extrema relevância entender o comportamento da vegetacao para o planejamento e tomada de decisao no que se refere as areas para plantio, uso adequado de recursos hidricos, irrigacao e acompanhamento de dinâmicas vegetacionais, por exemplo. Neste sentido, o Sensoriamento Remoto (SR) vem sendo um relevante suporte para o monitoramento de ecossistemas, uma vez que se observa diversas pesquisas envolvendo a aplicacao desta tecnica atraves de diferentes algoritmos matematicos intitulados indices. Os novos satelites, os veiculos nao tripulados e as câmeras de alta resolucao que mantem produtos na faixa do visivel (RGB) trazem novas perspectivas para a atuacao do SR na vegetacao, sobretudo na agricultura; assim, foi desenvolvido ao longo dos anos indices que possibilitasse a deteccao da vegetacao nas faixas espectrais visiveis e dessa forma, facilitando processos agropastoris, de agricultura de precisao e no barateamento do SR como um todo. Deste modo, este trabalho tem como objetivo uma revisao acerca dos indices de vegetacao para o processamento na faixa RGB. A partir da revisao, verifica-se a procedencia de quinze indices RGB, sendo concebidos por necessidades e equipamentos diversos, onde todos alcancam satisfatoriedade competida. Contata-se que os indices desenvolvidos melhoraram em significância as analises do SR, e que essas melhorias acarretaram novos aprendizados que contribuiram diretamente para o estudo dos ecossistemas, especialmente os ambientes vegetacionais. O dinamismo do SR o faz chamariz de inovacao, em que, atraves das exigencias e de demandas atuais, novos indices poderao ser criados contribuindo na manutencao e provimento de atividades sociais, economicas e ecologicas.
A highly sensitive ECL platform based on GOD and NiO nanoparticle decorated nickel foam for determination of glucose in serum samples

In this work, a new ECL glucose biosensor was fabricated based on immobilized glucose oxidase into the cavity of the nickel foam modified with nickel oxide nanoparticles. The nickel oxide nanoparticles were deposited on the surface of 3-D Ni-foam by a simple electrochemical method. On the other hand, due to the porous structure of the nickel foam, the enzyme was well inserted into the cavities of the Ni-foam. Hydrogen peroxide intensified the optical signal of luminol, which is produced during the reaction of glucose oxidase and glucose in the presence of oxygen. Also, the nickel oxide nanoparticles exhibited superior electrocatalytic properties in the oxidation of the luminol. The nickel oxide nanoparticle modified Ni-foam electrode was characterized using electrochemical impedance spectroscopy, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, and X-ray diffraction. The modified electrode was successfully used for the quantification of glucose by an electrochemiluminescence method. The proposed ECL biosensor showed superior performance toward glucose in 0.1 M phosphate buffer solution pH 7.4 with a wide linear range (2.7 × 10−9 to 4.5 × 10−3 M) and a low detection limit (5.0 × 10−10 M). Due to the good immobilization of the enzyme, the presented biocomposite exhibited remarkable performance for sensitive detection of glucose with high selectivity and good reproducibility. Thus, it has been utilized for glucose analysis in human serum samples with acceptable outcomes.
New approaches to diagnosing mitochondrial abnormalities: Taking the next step

Abstract The clinical heterogeneity of mitochondrial disorders often makes it a challenge to establish a diagnosis in suspected mitochondrial patients. The classical approach to the diagnostic examination usually involves a muscle biopsy to evaluate mitochondrial function by measuring enzyme activities of the OXPHOS enzymes complex I to V, and to determine flux parameters such as oxygen consumption, the oxidation of various substrates, and ATP production. Based on the combination of clinical features and biochemical parameters, candidate genes are selected for subsequent molecular genetic studies in the conventional diagnostic work-flow. The procedures for diagnostic molecular genetic analysis of mitochondrial patients are rapidly evolving, due to the introduction of next generation sequencing (NGS) technologies in diagnostic laboratories. In addition to the application to mtDNA sequence analysis, NGS is used for the sequence analysis of multiple nuclear genes. The new technological possibilities for molecular genetic testing will result in a change in the diagnostic work-up of suspected mitochondrial patients. Because of the often poor genotype-phenotype correlation in mitochondrial disease, NGS analysis will often require functional follow up testing to confirm pathogenicity of genetic variants. This will create a demand for more specific diagnostic functional tests; not only for mitochondrial oxidative phosphorylation, but also for other mitochondrial processes like substrate transport, nucleotide homeostasis, mtDNA transcription/translation, and so on. The development of a collection of sophisticated and preferably non-invasive diagnostic tests for functional follow-up of NGS molecular genetics results is the next challenge in the diagnostic examination of suspected mitochondrial patients.