Miracle-dz/UniFAR-FTUs huggingface dataset:
Validity : Estimating and Evaluating Convergent and Discriminant Validity Evidence Factors Affecting Validity Coefficients

In 2013, a group of researchers published a paper evaluating the construct validity of a new psychological scale. As its name implies, the Need to Belong Scale (NTBS) was intended to measure the degree to which individuals desire “interpersonal acceptance and belonging” (Leary, Kelly, Cottrell, & Schreindorfer, 2013, p. 610). Although they hypothesized that this is a fundamental human need, the researchers also observed that people differ in the degree to which they experience this need. Some people have a relatively great need to experience frequent interactions within close and caring relationships, while other people seem to need such interactions much less. To assess this need, Leary and his colleagues developed 10 items, such as “I try hard not to do things that will make other people avoid or reject me. ” But how could the researchers be sure that the 10 items on the NTBS truly do reflect a need to belong? Certainly, the researchers wrote items that they believed would reflect that need, trying to ensure appropriate content in the scale. In addition, early studies of reliability and internal structure helped shape the final pool of 10 items. Thus, the 10 items seemed to have some basic elements that would give the researchers some confidence that the NTBS reflects the need to belong in a psychometrically solid way. But what if their confidence about the items was misplaced in some way? What if their items lacked some content related to the need to belong? Or what if respondents do not interpret the items in the way that is intended by the researchers? How could the researchers gain even more confidence that respondents’ scores on the NTBS truly do reflect the respondents’ levels of need to belong? To address such concerns, the researchers examined associations between the NTBS and a variety of other scales and measures. If NTBS scores do indeed reflect Estimating and Evaluating Convergent and Discriminant Validity Evidence
Exploring the superwind mechanism for generating ultrahigh-energy cosmic rays using large-scale modeling of starbursts

The Pierre Auger Collaboration has provided a compelling indication for a possible correlation between the arrival directions of ultrahigh-energy cosmic rays and nearby starburst galaxies. Herein we show how the latest large-scale modeling of starburst galaxies is compatible with the cosmic rays producing the anisotropy signal being accelerated at the terminal shock of superwinds.
Co-evolutionary genetic programming for dataset similarity induction

Metalearning deals with an important problem in machine-learning, namely selecting the right techniques to model the data at hand. In most of the metalearning approaches, a notion of similarity between datasets is needed. Our approach derives the similarity measure by combining arbitrary attribute similarity functions ordered by the optimal attribute assignment. In this paper, we propose a genetic programming based approach to the evolution of an attribute similarity inducing function. The function is composed of two parts - one describes the similarity of categorical attributes, the other describes the similarity of numerical attributes. Co-evolution is used to put these two parts together to form the similarity function. We use a repairing approach to guarantee some of the metric features for this function, and also discuss which of these features are important in metalearning.
Interaction of mouse hepatitis virus (MHV) spike glycoprotein with receptor glycoprotein MHVR is required for infection with an MHV strain that expresses the hemagglutinin-esterase glycoprotein

In addition to the spike (S) glycoprotein that binds to carcinoembryonic antigen-related receptors on the host cell membrane, some strains of mouse coronavirus (mouse hepatitis virus [MHV]) express a hemagglutinin esterase (HE) glycoprotein with hemagglutinating and acetylesterase activity. Virions of strains that do not express HE, such as MHV-A59, can infect mouse fibroblasts in vitro, showing that the HE glycoprotein is not required for infection of these cells. The present work was done to study whether interaction of the HE glycoprotein with carbohydrate moieties could lead to virus entry and infection in the absence of interaction of the S glycoprotein with its receptor glycoprotein, MHVR. The DVIM strain of MHV expresses large amounts of HE glycoprotein, as shown by hemadsorption, acetylesterase activity, and immunoreactivity with antibodies directed against the HE glycoprotein of bovine coronavirus. A monoclonal anti-MHVR antibody, MAb-CC1, blocks binding of virus S glycoprotein to MHVR and blocks infection of MHV strains that do not express HE. MAb-CC1 also prevented MHV-DVIM infection of mouse DBT cells and primary mouse glial cell cultures. Although MDCK-I cells express O-acetylated sialic acid residues on their plasma membranes, these canine cells were resistant to infection with MHV-A59 and MHV-DVIM. Transfection of MDCK-I cells with MHVR cDNA made them susceptible to infection with MHV-A59 and MHV-DVIM. Thus, the HE glycoprotein of an MHV strain did not lead to infection of cultured murine neural cells or of nonmurine cells that express the carbohydrate ligand of the HE glycoprotein. Therefore, interaction of the spike glycoprotein of MHV with its carcinoembryonic antigen-related receptor glycoprotein is required for infectivity of MHV strains whether or not they express the HE glycoprotein.
Robust Spectral Unmixing of Sparse Multispectral Lidar Waveforms Using Gamma Markov Random Fields

This paper presents a new Bayesian spectral unmixing algorithm to analyze remote scenes sensed via sparse multispectral Lidar measurements. To a first approximation, in the presence of a target, each Lidar waveform consists of a main peak, whose position depends on the target distance and whose amplitude depends on the wavelength of the laser source considered (i.e., on the target reflectivity). Besides, these temporal responses are usually assumed to be corrupted by Poisson noise in the low photon count regime. When considering multiple wavelengths, it becomes possible to use spectral information in order to identify and quantify the main materials in the scene, in addition to estimation of the Lidar-based range profiles. Due to its anomaly detection capability, the proposed hierarchical Bayesian model, coupled with an efficient Markov chain Monte Carlo algorithm, allows robust estimation of depth images together with abundance and outlier maps associated with the observed three-dimensional scene. The proposed methodology is illustrated via experiments conducted with real multispectral Lidar data acquired in a controlled environment. The results demonstrate the possibility to unmix spectral responses constructed from extremely sparse photon counts (less than 10 photons per pixel and band).
Clustering-based identification of MIMO piecewise affine systems

PieceWise Affine (PWA) models are used to approximate general nonlinear dynamics with an arbitrary precision. PWA model can be employed for a constrained optimal controller synthesis, whereas the complexity of the controller is in a large part determined with a complexity of the model. Among the prominent methods for a PWA system identification is the clustering-based identification, which is originally designed for identification of systems with a Multiple-Input Single-Output (MISO) structure. When applied for the Multiple-Input Multiple-Output (MIMO) system identification, previously used clustering-based approach implied independent estimation of PWA maps for each of the outputs, whereas the MIMO PWA model was constructed by merging the polyhedral partitions and parameters of each MISO model. PWA model obtained with the respective approach often contained a significant number of submodels, thus aggravating the controller design process. In this paper we propose a multivariate linear regression approach for the identification of a MIMO PWA model based on the clustering technique. The presented approach is a systematic extension and fully exploits all benefits of the clustering-based identification. The proposed approach is validated on a coupled MIMO system identification problem.
PRIBADI DALAM NOVEL AYAT-AYAT CINTA DAN LASKAR PELANGI: TELAAH PSIKOANALISIS SIGMUND FREUD

Universitas Muhammadiyah Malang Abstrak Penelitian ini bertujuan mendeskripsikan gambaran pribadi tokoh utama dalam novel Islami Indonesia yang meliputi: (a) struktur jiwa, dan (b) pertahanan jiwa? Bagaimanakah gambaran pribadi Islami yang direpresentasikan oleh pengarang yang meliputi; (a) peristiwa, dan (b)latar sosial dan budaya, Jenis penelitian yang digunakan deskriptif kualitatif. Hasil temuan menunjukkan bahwa kedua novel yang dianalisis memiliki latar kehidupan yang berlandaskan kehidupan beragama Islam sehingga id dapat dikendalikan dengan superego yang berasal dari nilainilai agama yang dianut tokoh dan menjadikan ego tokoh bersikapkan nilai-nilai agama. Kata kunci: psikoanalisis, struktur kepribadian, mekanisme pertahanan
A vivência dos docentes na simulação clínica inserida no currículo : desafios, dificuldades e conquistas

A vivencia dos docentes na simulacao clinica inserida no curriculo: desafios, dificuldades e conquistas Introducao: o interesse pela simulacao realistica na formacao de profissionais da saude tem crescido junto com as tendencias para melhoria do processo de ensino aprendizagem destes profissionais, com enfoque no desenvolvimento de competencias necessarias a boa formacao do profissional. O objetivo do presente e identificar o que o corpo docente pensa a respeito da insercao da simulacao realistica no curriculo, como experimenta a utilizacao de cenarios seguidos de debriefing em suas aulas praticas e dificuldades e quais desafios e conquistas relatam na utilizacao da simulacao como ferramenta de ensino na graduacao em saude. Metodo: Foi realizado um estudo qualitativo com amostragem intencional, segundo criterios pre-definidos, utilizando um roteiro semiestruturado, considerando a saturacao das informacoes. Foram entrevistados 14 docentes dos cursos de Medicina e Enfermagem de uma instituicao de ensino que emprega simulacao realistica em seus curriculos. Resultados: A maioria dos entrevistados considerou que a utilizacao de cenario seguido de debriefing e uma otima ferramenta didatica. Dificuldades foram apontadas, dentre elas a carga de trabalho necessaria para a elaboracao dos cenarios, a correlacao entre os objetivos dos cenarios e as competencias curriculares e a relacao do numero de alunos por docente. A maioria dos entrevistados reconhece o real significado do debriefing para o ensino medico e de enfermagem e considerou que o debriefing e a parte mais importante e rica da simulacao. As dificuldades e desafios mais apontados pelos docentes quanto a conducao do debriefing diziam respeito tanto aos alunos, suas atitudes e conhecimento previo, quanto aos professores e suas experiencias com a ferramenta. Conclusao: Considerando os depoimentos analisados, surgem necessidades logisticas a serem contempladas para que os docentes possam desempenhar suas atividades com simulacao da melhor maneira possivel. Um destes pontos e adequar a relacao de alunos por docente nas praticas envolvendo simulacao, de maneira que se possa efetivamente aplicar a metodologia proposta. Outro ponto a ser considerado e o tempo necessario para construcao de cenarios por parte dos docentes. A necessidade de treinamento continuo e supervisao docente com feedback imediato faz-se necessario para dar suporte as dificuldades relatadas pelos docentes. Abstract
11 Hemophilia A Patients without Mutations in the Factor VIII Encoding Gene

1. Petersen LC, Sprecher CA, Foster DC, Blumberg H, Hamamoto T, Kisiel W. Inhibitory properties of a novel human Kunitz-type protease inhibitor homologous to tissue factor pathway inhibitor. Biochemistry 1996; 35: 266-72. 2. Miyagi Y, Yasumitsu H, Mizushima H, Koshikawa N, Matsuda Y, Itoh H, Hori TA, Aoki I, Miyazaki K. Cloning of the cDNA encoding mouse PP5/TFPI-2 and mapping of the gene to chromosome 6. DNA Cell Biol 1996; 15: 947-54. 3. Kamei S, Petersen LC, Sprecher CA, Foster DC, Kisiel W. Inhibitory properties of human recombinant Arg24 →Gln type-2 tissue factor pathway inhibitor (R24Q TFPI-2). Thromb Res 1999; 94: 147-52. 4. Rao CN, Cook B, Liu Y, Chilukuri C, Stack MS, Foster DC, Kisiel W, Woodley DT. HT-1080 fibrosarcoma cell matrix degradation and invasion are inhibited by the matrix-associated serine protease inhibitor TFPI-2/33 kDa MSPI. Int J Cancer 1998; 76: 749-56. 5. Neaud V, Hisaka T, Monvoisin A, Bedin C, Balabaud C, Foster DC, Desmoulière A, Kisiel W, Rosenbaum J. Paradoxical pro-invasive effect of the serine proteinase inhibitor tissue factor pathway inhibitor-2 on human hepatocellular carcinoma cells. J Biol Chem 2000; 275: 35565-9.
Structural Design and Impact Analysis of a 1.5U CubeSat on the Lunar Surface

Ahead of the United States’ crewed return to the moon in 2024, Intuitive Machines, under a NASA Commercial Lunar Payload Services contract, will land their NovaC lunar lander in October 2021. At 30 meters altitude during the terminal descent, EagleCam will be deployed, and will capture and transmit the first-ever thirdperson images of a spacecraft making an extraterrestrial landing. This paper will focus on the structural design, modeling, and impact analysis of a 1.5U CubeSat payload to withstand a ballistic, soft-touch landing on the lunar surface.
Implementation and Analysis of a Hybrid-ARQ Based Cooperative Diversity Protocol

In this project, a hybrid Automatic Repeat reQuest (hybrid-ARQ) based cooperative diversity protocol is implemented and analyzed using Reed-Solomon (RS) codes. This protocol is suitable for wireless sensor networks that are decomposed into clusters of several radio nodes including a source, a destination, and one or more relays. A general approach, that involves the coordination of both the direct and relayed transmissions and which corresponds to the classical relay channel model is followed. In these networks, the spatial diversity advantage is obtained with relaying. The protocol is an incremental redundancy scheme, which increases the throughput efficiency by adapting the error correcting code redundancy to the varying channel conditions. The normalized throughput of the protocol is simulated for both AWGN and block fading environments with BPSK modulation and RS codes. The performance of the protocol is studied and analyzed from these simulation results. The results indicate that, contrary to previous information-theoretic studies, hybrid-ARQ based cooperative diversity is not always better than conventional multihop routing.
Protein dynamics: implications for nuclear architecture and gene expression.

Studies of nuclear architecture reveal that the dynamic properties of proteins in the nucleus are critical for their function. The high mobility of proteins ensures their availability throughout the nucleus; their dynamic interplay generates an ever-changing, but overall stable, architectural framework, within which nuclear processes take place. As a consequence, overall nuclear morphology is determined by the functional interactions of nuclear components. The observed dynamic properties of nuclear proteins are consistent with a central role for stochastic mechanisms in gene expression and nuclear architecture.
Photoevaporation of Minihalos During Cosmic Reionization: Primordial and Metal-enriched Halos

The density distribution of the intergalactic medium is an uncertain but highly important issue in the study of cosmic reionization. It is expected that there are abundant gas clouds hosted by low-mass “minihalos” in the early universe, which act as photon sinks until being photoevaporated by the emerging ultraviolet background (UVB) radiation. We perform a suite of radiation-hydrodynamic simulations to study the photoevaporation of minihalos. Our simulations follow hydrodynamics, nonequilibrium chemistry, and the associated cooling processes in a self-consistent manner. We conduct a parametric study by considering a wide range of gas metallicities (0 Z⊙ ≤ Z ≤ 10−3 Z⊙), halo mass (103 M⊙ ≤ M ≤ 108 M⊙), UVB intensity (0.01 ≤ J21 ≤ 1), and turn-on redshift of ionizing sources (10 ≤ zIN ≤ 20). We show that small halos are evaporated in a few tens of millions of years, whereas larger mass halos survive 10 times longer. The gas mass evolution of a minihalo can be characterized by a scaling parameter that is given by a combination of the halo mass, background radiation intensity, and redshift. Efficient radiative cooling in metal-enriched halos induces fast condensation of the gas to form a dense, self-shielded core. The cold, dense core can become gravitationally unstable in halos with high metallicities. Early metal enrichment may allow star formation in minihalos during cosmic reionization.
Morphological and Molecular Investigations of Tubulinosema ratisbonensis gen. nov., sp. nov. (Microsporidia: Tubulinosematidae fam. nov.), a Parasite Infecting a Laboratory Colony of Drosophila melanogaster (Diptera: Drosophilidae)

Abstract. A new species of microsporidia from Drosophila melanogaster was investigated by light and electron microscopy and by ribosomal RNA (rRNA) sequencing. This microsporidium and the previously described Nosema kingi and Nosema acridophagus have been transferred to the new genus Tubulinosema gen. nov. with the following characters: nuclei are in diplokaryotic arrangement during the life cycle. All stages are in direct contact with the host cell cytoplasm, slightly anisofilar polar tube with the last coils being smaller in diameter arranged in one or two rows on both sides of the diplokaryon and small tubuli on the surface of late meronts. Spores are oval or slightly pyriform. Thick endospore wall, thinner over anchoring disc. This new genus and the genus Brachiola have been placed in a new family Tubulinosematidae fam. nov. Phylogenetic analysis of small subunit rRNA sequences by different methods placed Tubulinosema spp. in one clade with the genus Brachiola forming its sister clade, which is distant from the clade containing the true Nosema spp. including Nosema bombycis.
Effect of Collaborative Recommender System Parameters: Common Set Cardinality and the Similarity Measure

Recommender systems are widespread due to their ability to help Web users surf the Internet in a personalized way. For example, collaborative recommender system is a powerful Web personalization tool for suggesting many useful items to a given user based on opinions collected from his neighbors. Among many, similarity measure is an important factor affecting the performance of the collaborative recommender system. However, the similarity measure itself largely depends on the overlapping between the user profiles. Most of the previous systems are tested on a predefined number of common items and neighbors. However, the system performance may vary if we changed these parameters. The main aim of this paper is to examine the performance of the collaborative recommender system under many similarity measures, common set cardinalities, rating mean groups, and neighborhood set sizes. For this purpose, we propose a modified version for the mean difference weight similarity measure and a new evaluation metric called users’ coverage for measuring the recommender system ability for helping users. The experimental results show that the modified mean difference weight similarity measure outperforms other similarity measures and the collaborative recommender system performance varies by varying its parameters; hence we must specify the system parameters in advance.
Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic

We aim to enable an autonomous robot to learn new skills from demo videos and use these newly learned skills to accomplish non-trivial high-level tasks. The goal of developing such autonomous robot involves knowledge representation, specification mining, and automated task planning. For knowledge representation, we use a graph-based spatial temporal logic (GSTL) to capture spatial and temporal information of related skills demonstrated by demo videos. We design a specification mining algorithm to generate a set of parametric GSTL formulas from demo videos by inductively constructing spatial terms and temporal formulas. The resulting parametric GSTL formulas from specification mining serve as a domain theory, which is used in automated task planning for autonomous robots. We propose an automatic task planning based on GSTL where a proposer is used to generate ordered actions, and a verifier is used to generate executable task plans. A table setting example is used throughout the paper to illustrate the main ideas.
In vitro antioxidant and anti-lipoperoxidative activities of bark extracts of Xylopia aethiopica against ion-mediated toxicity on liver homogenates

Abstract Reactive oxygen species (ROS), products of normal cell metabolism may cause damage to biological macromolecules leading to severe health threats when they are present in high concentrations. Aromatic plants contain phytochemicals rich of antioxidants that prevent oxidant formation or scavenge oxidants produced under oxidative stress conditions. In the present study, we investigated the free radical scavenging effects, the antioxidant and ion toxicity preventive effect of Xylopia aethiopica (X. aethiopica), a plant of the family of Annonaceae used as spice in Cameroon. The scavenging properties of extracts of X. aethiopica were tested on 2, 2-diphenyl-1-picrylhydrazyl (DPPH), nitric oxide (NO), hydroxyl (OH), 2,2′-azinobis(3-ethylbenzthiazoline)-6-sulfonic acid (ABTS) radicals. The total antioxidant capacity was assayed by ferric reducing ability of plasma (FRAP), phosphomolybdenum antioxidant power (PAP), reduction assays. The protective potential was carried on superoxide dismutase (SOD), catalase and peroxidases. The results showed that both the ethanolic (BEE) and the hydroethanolic (BEH) extracts from the barks of X. aethiopica scavenged all the tested radicals. The sample BEH showed the highest total antioxidant capacity both in the FRAP and the PAP. This result was positively correlated to its higher phenolic content (30.74±0.44 CAE/g dried extract). The higher protective capacity of BEH on SOD, catalase and peroxidase activities was comparable to that of the vitamin C used as standard. In conclusion, X. aethiopica has a higher antioxidant and protective potential against ion-mediated oxidative damage and may be considered as a potential drug against metal-mediated toxicity.
Immersive Driving Car Simulation for Children Using Natural User Interface Controller

In this project, we tried to narrow down the gap between real world and synthetic environment. For that purpose, we developed an immersive driving car simulation that combines tangible tool with mixed reality environment. As tangible tool, we developed a real physical mini car that employ arduino sensor inside. To provide an immersive sensation among user and arduino mini car, we employ camera belongs to smart phone in front of our car that it will create real-driving-sensation since the user will feel like s/he sit and drive inside the car. As car controller, we optimized a natural user interface (NUI) controller that employ widely-used RGBD sensor, Kinect. Using our scenario, user will enjoy a real-driving-sensation since they can witness real scene captured by smart phone camera installed in front of mini arduino car. Further more, user can control the mini car using their hand gesture captured by Kinect. Finally, while user driving the car, they will find several Augmented Reality (AR) markers that will visualize various traffic instruments and it will create an edutainment content about traffic rule.