Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards the Provision of Effective Interaction in Post Covid-19 E- Learning Contexts: Enhancing E-interactions on the LMS‘s Discussion Boards

The conceptualized effectiveness of asynchronous online discussions on learners' levels of interaction as a facet of delayed learning in learning management systems (LMSs) and as a supplement to face-to-face (FTF) classroom interaction is an integral part of the digital transformation of the teaching and learning process especially during and after COVID-19, and a key indicator of the quality of instruction. The current study aims at investigating the effectiveness of facilitating two-construct e-interactions (teacher-student, student-student) using the asynchronous interaction tool supplied on the LMSs, namely discussion boards, from the perceptions of the key stakeholders: the instructors and the students. This study utilizes both qualitative and quantitative data collection methods to investigate the effectiveness of the instructional technique and mode that predominantly augment e-interactions. Data were collected using an online survey, content analysis of threads, and two focus-groups interviews. Analysis of data included using descriptive statistics, measures of central tendency, and t-tests using SPSS in addition to analysis of interviews. The significant findings of the study, the rationalized theoretical frameworks, and antecedent research outlined suggest key pedagogical implications that need to be considered by practitioners and educational decision-makers to ensure the implementation of effectual e-interactions in the enduring contexts of distance learning post COVID-19.
Colored Ant for Flow Management in Fog Computing

Nowadays, users' demands are increasing in terms of data volume, interactivity, and multimedia quality. This put higher challenges on providers. Cloud operators are trying to improve network performance to fulfill application requirements and satisfy customers. However, this objective is still increasing in difficulty. Software-Defined Network (SDN) offers a new vision of the networking paradigm with more management flexibility. It simplifies networking by providing global visibility through a central controller. In this paper, we propose a new QoS aware flow management based on the SDN technique and Ant optimization algorithm in the scenario of Fog computing. The per-flow decision is taken more efficiently in the centralized controller based on specific metrics and flows classification. Performance experiments based on our implementation shows promising results.
Composing Narrative-Based Gameful Learning Processes: A Skill Atom Approach

Gamification incorporates game elements to make mundane activities more engaging. It has seen success in education, even more so when enhanced by gameful design. Among the elements of gameful design is narrative, which offers many benefits, such as contextualizing the learning process. However, there is currently a lack of guidelines on integrating narrative into a gameful learning process. This paper proposed a framework for narrative-based gameful learning processes, which connects a learning process' scenario and skill atoms to a narrative's plot and space. We validated the framework by implementing it to compose a narrative-based gameful course on game design, which we delivered through ClassCraft. We conducted a six-step process to compose the course, which resulted in a narrative graph with branchings for learning and narrative purposes. Ten Informatics students participated in the course, filled a questionnaire, and participated in a discussion. The questionnaire's results validate the course's effectiveness, and the discussion gathers insightful suggestions and critiques. Our analysis of the participants' game designs also proves the narrative's contextualization effect. We close this paper by discussing our results' limitations and directions for future studies.
Swing Stability and Control For Loaded Cranes

Cranes are mechanized industrial equipment used for a host of engineering applications that require handling and manipulation of heavy payloads. Payload oscillations are common during the normal operation of the crane. These oscillations may be due to large corrective control inputs on the part of the operator and/or external disturbances such as wind. Large undamped swing oscillations however pose a serious safety hazard to personnel and equipment. Typically, commercial cranes do not provide a feature for the automatic dampening of payload oscillations and as such operators are required to manually dampen the swing motion through input controls. This paper investigates the effectiveness of Fuzzy Logic and Gain Scheduling for the automatic control of swing oscillations inherent to boom crane operation. Fuzzy Logic and Gain Scheduling are popular non-linear control strategies that have been successfully utilized for a multitude of applications. The control strategies were implemented on a prototype boom crane and tested in order to develop preliminary conclusions and insight. The results demonstrated that both control strategies were effective in dampening the payload swing in the crane prototype. However, the Fuzzy Control method was far superior as it completely eliminated overshoot thereby aggressively minimizing hazardous crane swing. It also required significantly less design effort compared to the Gain Scheduled method. The results suggest that further work and development of Fuzzy Control for swing oscillation in Boom crane is merited, with implementation and testing on industrial and commercial boom crane as the next step in the research.
Formalin Potentials in the Pathogenic Attenuation of Eimeria tenella based on Oocyst Productions

Coccidiosis is a disease found in poultry caused by parasitic protozoa, namely Eimeria tenella (E. tenella), which may lead to high rates of morbidity and mortality. To prevent coccidiosis, vaccination is required to inactivate and attenuate E. tenella protozoa. One of the compounds applied for attenuation is formaldehyde. Formaldehyde reduces the pathogenicity of an organism by creating rigidity in its structure. As a result, the organism cannot inflict disease and has a higher impact on building antibodies although it is still alive. The current research was an experimental study aimed to determine the formalin potential in attenuation of E. tenella pathogenesis in terms of oocyst production. The present study was conducted using the completely randomized design method. A total number of 25 broiler chickens were applied and their feces were tested to observe oocysts production and clinical symptoms. The obtained data would be analyzed by the ANOVA statistical test. The treatment groups presented clinical symptoms of E. tenella infection. The number of oocysts in treatment group I fluctuated from the lowest number which was zero on day five and then increased by day six, seven, and eight and it has reached the peak with the most significant amount of 4,050,460 oocysts on day nine. The treatment group II with the same condition reached its peak with the highest number of 1,363,160 oocysts on day nine. The treatment group III peaked with the most significant number of 618,960 oocysts on day nine. In addition, the treatment IV group attained the apex with the highest number of 719,480 oocysts on day nine. Meanwhile, the treatment V group reached the highest number of 284,200 oocysts on day nine. The difference in formalin concentration affected the amount of E. tenella oocyst production of broiler chickens. Formalin soaking with a concentration of 1.2% was the most optimal concentration to attenuate E. tenella.
Hetero- and low-dimensional structures Metal vacancies in Cd1–xZnxS quantum dots

Structural and electronic characteristics of metal vacancies in nanocrystals Cd1–xZnxS have been studied within the density functional method. The electron state density and vacancy formation energy have been calculated, and an analysis of structural relaxation has been performed. With these theoretical findings and available experimental data, we have concluded that the vacancies of cadmium are the possible centers of radiative recombination in these structures.
The role of Kabuki Syndrome genes KMT2D and KDM6A in development: Analysis in Human sequencing data and compared to mice and zebrafish

KMT2D and KDM6A are epigenetic regulators that have been implicated in Kabuki Syndrome, a rare congenital birth defect with multiple tissue and organ abnormalities, including craniofacial and heart defects. Our previous study identified human families with mutations in the epigenetic modifiers KMT2D and KDM6A, which is implicated in 32% and 10% of Kabuki Syndrome patients respectively. To understand the connection to Kabuki syndrome patients, and the transcriptional targets of KMT2D and KDM6A in humans, we performed RNA sequencing (seq) of lymphoblastoid cells from Kabuki Syndrome patients carrying mutations in KMT2D and KDM6A. We identified 1995 significant changes in transcriptional targets for KMT2D and 1917 for KDM6A, as compared to control. When compared with RNA-seq datasets obtained from other mouse and zebrafish studies, our analysis revealed KMT2D mutations affect the expression of 76 orthologous genes across all three datasets. Similarliy, KDM6A afftects the expprssion of 7 orthologous genes across three datasets. Despite the differences in cell types, stages, and species in the comparison between the transcriptomic datasets, there are common gene expression changes associated with KMT2D and KDM6A mutations. qPCR on novel zebrafish mutants confirmed the differentially expression in KMT2D or KDM6A mutant backgrounds. Taken together, our results show that KMT2D and KDM6A regulate common and unique genes across humans, mice, and zebrafish for early craniofacial and cardiac development and this information contributes to the understanding of epigenetic dysregulation during development of Kabuki syndrome.
AS ORIGENS DO PENSAMENTO OCIDENTAL THE ORIGINS OF WESTERN THOUGHT

The aim of this paper is to examine the implications of Plato’s use of the term stoicheion, since his awareness of stoicheion’s polysemy reveals his view of the origin, the complexity and, at the same time, the order of reality. Moreover, his use of stoicheion allowed him both to inherit and to detach himself from his predecessors. I begin by presenting the history of the notion of stoicheion; then, since one of the meanings of stoicheion is ‘letter of 2 Rev. Archai (ISSN: 1984-249X), n. 30, Brasília, 2020, e03005. the alphabet’, I focus on the Cratylus, which contains the first of several passages where Plato employs the alphabet as a paradigm for the structure of a complex system. Finally, I turn to the Theaetetus, where Plato, for the first time, uses stoicheion in the sense of ‘element’ and where, through the relation letters/syllables, Plato clarifies that enumeration and juxtaposition are not sufficient to attain the real knowledge. I will argue that only thanks to these steps can we understand the occurrences of stoicheion in the Timaeus, where Plato first states that air, earth, fire and water are not stoicheia tou pantos, and then reveals that, instead, the basic triangles are ‘the elements of the universe’.
Human DICER helicase domain recruits PKR and modulates its antiviral activity

The antiviral innate immune response mainly involves type I interferon (IFN) in mammalian cells. The contribution of the RNA silencing machinery remains to be established, but several recent studies indicate that the ribonuclease DICER can generate viral siRNAs in specific conditions. It has also been proposed that type I IFN and RNA silencing could be mutually exclusive antiviral responses. In order to decipher the implication of DICER during infection of human cells with alphaviruses such as the Sindbis virus and Semliki forest virus, we determined its interactome by proteomics analysis. We show that DICER specifically interacts with several double-stranded RNA binding proteins and RNA helicases during viral infection. In particular, proteins such as DHX9, ADAR-1 and the protein kinase RNA-activated (PKR) are enriched with DICER in virus-infected cells. We demonstrate that the helicase domain of DICER is essential for this interaction and that its deletion confers antiviral properties to this protein in an RNAi-independent, PKR-dependent, manner.
Combinatorial planning framework for geological exploration

The paper describes a combinatorial framework for planning of geological exploration for oil-gas fields. The suggested solving scheme consists of the stages: (1) building of special 4-layer tree-like model of geological exploration; (2) generations of local design (exploration) alternatives for each low-layer geological object: conservation, additional search, independent utilization, joint utilization; (3) multicriteria assessment of the exploration alternatives and their interrelation (compatibility); (4) hierarchical design of composite exploration plans; (5) integration of the plans into region exploration plans (versions); and (6) aggregation of the region plans (versions) into a general (resultant) exploration plan. Stages 2, 3, 4, and 5 are based on hierarchical multicriteria morphological design (HMMD) method. The composition problem is based on morphological clique model. Aggregation of the obtained modular alternatives (stage 6) is based on multiple choice model. The usage of multiset estimates for alternatives is described as well. The alternative estimates are based on expert judgment. The suggested combinatorial planning methodology is illustrated by realistic numerical examples for geological exploration of Yamal peninsula.
The protein digestibility of the broiler chickens fed jamu formula, a local herbal solution

Jamu (local herbal drinking) have been known for a long time by inhabitants in Indonesia as conventional home grown pharmaceutical and to progress digestion system within the body. Jamu, not as it were for people but also for creatures. Local farmers have moreover utilized jamu for chicken for a long time, and it’s utilize is expanding. This Research points to decide the impact of jamu to extend protein in vivo digestibility in broilers and for knowing the ideal level of jamu for optimum protein digestibility in broilers. The strategy utilized in this investigate is Completely Randomized Design (CRD) with 4 treatment and 5 replications, each redundancy comprises of 1 broiler chickens, so there are 20 chickens. The treatment comprises of P0 (control), T1 (jamu 1.5 mL/500 mL), T2 (jamu 2.5 mL/500 mL) and T3 (jamu 3.5 mL/500 mL). The parameters watched were digestibility protein in broilers. Based on the examination of fluctuation, it appears The treatment had no critical impact on chicken protein broilers' digestibility given jamu. However, seeing each treatment's average value, T1, T2 and T3 tend to increase to 99.62%, 99.68% and 99.71%, respectively. In conclusion, supplemented with jamu formula does not significantly affect broiler chicken protein's digestibility, but the digestibility increases with increasing formula, up to the formula 3.5 mL/500 mL (T3) as the ideal level.
Socio - Technical Determinants of Knowledge Sharing Behavior- An Investigation on Social Networking Sites users

-Social Networking is a buzzword in modern communication for eradicating the distance barrier. Due to the advancement in Information and Communication Technology, peoples can communicate with each other from anywhere in anytime. Different way of communication tools exits; Social networking is one of them. Through social networking, users can share their thinking, values, emotions, insights and so on with others. However, their behaviour of the social networking sites (SNS) users is influenced by different factors. This paper aims at identifying those determinants, specially the socio-technical determinants of knowledge sharing behaviour among the user of SNS. Structural equation modelling (SEM) was conducted on the primary data collected through the survey. Therefore, the outcome of this study shows that ethical culture, social ties, sense of belonging, knowledge self-efficacy, information privacy and structural assurance are all significant variables as socio-technical factors.
Development of an ef􀅮icient and resilient algorithm For lane feature extraction in image sensor-based lane detection

Lanedetectioniskeytoadvanceddriverassistancesystemstoavoidtraf􀅭icaccidentscausedbydriver’snegligence, thereby improving driver’s safety. However, most lane detection algorithms are prone to error in challenging con-ditionswhenmaneuveringinhighcurvaturelanes,strongbacklightingenvironment,lowcontrastnight,andheavy rain condition, rendering unreliable and hazardous detection motion. This work proposes a lane detection algo-rithmbyrobustbinarylanemarkingidenti􀅭icationforlanefeatureextraction. Thealgorithmcombinesthemedian local threshold, line segment detector, and binary line segment 􀅭ilter to remove the noise generated when operating in the above challenging conditions. After correct lane feature extraction, Hough transformed and optimized random sample consensus parabola 􀅭itting are applied to detect lane markings. Experiment results show that the proposed algorithm outperforms the previous work in achieving correct detection rate at 95% in real-time. © 2019 The Author(s). Published by TAF Publishing.
Instructional Usefulness of ICT’s as perceived by Lecturers in Technical Training Institutions in Kenya

Information Communication Technologies (ICT’s) is now the source of information used for instruction in our institutions of learning. Teacher education has received a big challenge as educators have to keep pace with the ever changing technology necessitating the reform of teacher education to re-invent educators for the future. The aim of the present study was to explore perceived instructional usefulness of ICT’s by Lecturers in Technical Training Institutions (TTI’s) in Kenya. The study adopted the quantitative research design. A sample size of 629 respondents was drawn from a total population of 2909 Lecturers in TTI’s in Kenya. Data was collected using questionnaires. The quantitative data collected was analyzed using descriptive statistics. The findings indicated that Lecturers in TTI’s perceived that use of ICT’s is useful in instruction as it enhances and complements instruction. The study therefore, recommends that ICT’s use in instruction be facilitated as it greatly impacts instruction.
Learning Computable Models From Data

1 Faculty of Computer Science, Technische Universität Dresden, Dresden, Germany 2 Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany 3 Center for Systems Biology Dresden, Dresden, Germany 4 Cluster of Excellence Physics of Life, TU Dresden, Germany 5 Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany 6 ONI Inc., Oxford, United Kingdom 7 Center for Computational Mathematics, Flatiron Institute, New York, NY, USA 8 Department of Statistics, LMU München, Munich, Germany 9 Institute of Computational Biology, Helmholtz Zentrum München, Germany
Retrieval effectiveness in software repositories: from faceted classifications to software visualization techniques

: The internal organization of large software projects requires an extraordinary effort in the development and maintenance of repositories made up of software artifacts (business components, data models, functional and technical documentation, etc.). During the software development process, different artifacts are created to help users in the transfer of knowledge and enable communication between workers and teams. The storage, maintenance and publication of these artifacts in knowledge bases – usually referred to as “software repositories” are a useful tool for future software development projects, as they contain the collective, learned experience of the teams and provide the basis to estimate and reuse the work completed in the past. Different techniques similar to those used by the library community have been used in the past to organize these software repositories and help users in the difficult task or identifying and retrieving artifacts (software and documentation). These techniques include software classification – with a special emphasis on faceted classifications, keyword-based retrieval and formal method techniques. The paper discusses the different knowledge organization techniques applied in these repositories to identify and retrieve software artifacts and ensure the reusability of software components and documentation at the different phases of the development process across different projects. An enumeration of the main approaches documented in specialized bibliography is provided.
Connecting Theory to Social Technology Platforms

In this article, the authors synthesize 3 years of social technologies research, including studies of Facebook, Twitter, and GitHub, to present a theory driven framework to guide future social scientific research using “Big Data. ” They connect levels of analysis derived from empirical study of influence to the electronic trace data generated by social technologies. Specifically, the authors outline a relationship between social media technology platforms, individual goals for participation, and emergent small groups to inform future research on influence in social technologies. They incorporate theory from small group literature, communities and networks of practice, and media theory to explicate a contextual framework for measuring influence. In their discussion, the authors build on the contrast between influence indicators in Facebook, Twitter, and GitHub to argue for a greater focus on the influence abstractions of articulation and affiliation.
Oridonin inhibits tumor angiogenesis and induces vessel normalization in experimental colon cancer

Purpose: Tumor blood vessels exhibit morphological and functional aberrancies. Its maturity and functionality are closely associated with colon cancer progression and therapeutic efficacy. The direct evidence proving whether oridonin (ORI) has vascular normalization promoting effect from which combination therapies will benefit is still lacking. Methods: We established a subcutaneous xenograft model of human colon cancer. The animals were divided into the Control and ORI-treated groups. Immunohistochemical analysis and TUNEL staining was applied to evaluate the proliferation, apoptosis and angiogenesis. Western blot analysis was employed to characterize the angiogenesis-related factors and JAK2/STAT3 signaling. Then, vascular normalization and macrophage reprogramming were assessed by immunofluorescence analysis. Results: The results showed that ORI obviously reduced tumor growth, diminished the numbers of Ki67+ cells and CD31+ microvessel density, while increased the numbers of TUNEL+ cells. The expression levels of VEGF and bFGF proteins were dramatically down-regulated while the angiostatin and endostatin levels were increased in the ORI-treated group. Moreover, ORI therapy remarkably promoted the pericyte coverage of tumor vessels from days 5 to 10, with the highest pericyte coverage rate occurred at day 7. In the time window of vascular normalization, hypoxia of the tumor microenvironment was improved by ORI, the expression of HIF-1a was downregulated. Moreover, CD206+ macrophage cells were diminished in the ORI-treated group. These anticancer effects of ORI maybe partly mediated by suppressing JAK2/STAT3 signaling pathway. Conclusions: These results highlight the potential effect of ORI on anti-angiogenesis and inducing vessel normalization roles of ORI, and probably provide optimum time point for the ORI therapy in conjunction with the chemoradiotherapy or immunotherapy.