Miracle-dz/UniFAR-FTUs huggingface dataset:
Online-measurement method of pellets diameter

The particle-size is a critical factor in the quality of iron-ore pellets.An online-measurement method of the particle-size of a pile of pellets was proposed by adopting the technology of computer image processing based on wavelet theory,which solved the key problem of edge extracting of pellets in image identification of pellets.Based on this,an online-measurement system of pellets whose output signal could be feedbacked to control the supply of prepared materials and the work of ballmaking machine was constituted in order to produce high-quality iron-ore pellets.The experiment result shows that the distribution of the particle-size and the mean particle-size measured by this system is in accordance with those in practice.
Academic Integrity Through Administration, Interaction, and Satisfaction with Distance Learning at Universitas Negeri Medan

The importance of maintaining academic integrity, especially in distance learning, will help produce students who have ethics both in education and the world of work. It is difficult to maintain academic integrity due to the lack of direct supervision and interaction that causes academic dishonesty. This study aims to test the level of academic integrity during distance learning conducted at the Faculty of Economics, Universitas Negeri Medan. The type of this research is quantitative research. The results of this study indicate that during distance learning the administration carried out at the beginning of the lecture willimpact on distance learning interaction and satisfaction but no effect on academic dishonesty. While the interaction during the distance learning process will have an impact on academic satisfaction and dishonesty. Satisfaction during distance learning will not affect academic dishonesty. Suggestions that can be given are that the importance of interaction between students and lecturers or between students will build academic integrity so as to reduce the level of academic dishonesty.
Seeking Pleasure or Meaning? The Different Impacts of Hedonic and Eudaimonic Tourism Happiness on Tourists’ Life Satisfaction

Although hedonic tourism happiness and eudaimonic tourism happiness coexist in tourism experiences, extant research has primarily approached them and their impact on tourists’ life satisfaction separately. Therefore, the purpose of this research is to investigate the impact on life satisfaction of the two types of happiness tourists experience in various activities they encounter in tourist venues and their asymmetric effects. A survey was conducted among tourists who had tourism experiences within a year (October 2018 to September 2019) either abroad or Jeju island, and 736 responses were used in the analysis. Results from structural equation modeling analysis show that most of the hypotheses were supported. Our findings demonstrate that pleasure and detachment experience positively affect hedonic tourism happiness, while personal meaning and self-reflection experiences positively affect eudaimonic tourism happiness. Theoretical and managerial implications are discussed.
Macrophage C/EBPδ Drives Gemcitabine, but Not 5-FU or Paclitaxel, Resistance of Pancreatic Cancer Cells in a Deoxycytidine-Dependent Manner

Treatment of pancreatic ductal adenocarcinoma (PDAC), a dismal disease with poor survival rates, is hampered by the high prevalence of chemotherapy resistance. Resistance is accompanied by macrophage infiltration into the tumor microenvironment, and infiltrated macrophages are key players in chemotherapy resistance. In the current manuscript, we identify CCAAT/enhancer-binding protein delta (C/EBPδ) as an important transcription factor driving macrophage-dependent gemcitabine resistance. We show that conditioned medium obtained from wild type macrophages largely diminishes gemcitabine-induced cytotoxicity of PDAC cells, whereas conditioned medium obtained from C/EBPδ-deficient macrophages only minimally affects gemcitabine-induced PDAC cell death. Subsequent analysis of RNA-Seq data identified the pyrimidine metabolism pathway amongst the most significant pathways down-regulated in C/EBPδ-deficient macrophages and size filtration experiments indeed showed that the low molecular weight and free metabolite fraction most effectively induced gemcitabine resistance. In line with a role for pyrimidines, we next show that supplementing macrophage conditioned medium with deoxycytidine overruled the effect of macrophage conditioned media on gemcitabine resistance. Consistently, macrophage C/EBPδ-dependent resistance is specific for gemcitabine and does not affect paclitaxel or 5-FU-induced cytotoxicity. Overall, we thus show that C/EBPδ-dependent deoxycytidine biosynthesis in macrophages induces gemcitabine resistance of pancreatic cancer cells.
HIV Care Continuum Interventions for Transgender Women: A Topical Review

Transgender women experience a disproportionate prevalence of HIV and barriers to linkage to care, retention in care, medication adherence, and viral suppression. As part of a national cooperative agreement funded by the Health Resources and Services Administration’s HIV/AIDS Bureau, we searched the literature from January 1, 2010, through June 1, 2020, for English-language articles on interventions designed to improve at least 1 HIV care continuum outcome or address 1 barrier to achieving HIV care continuum outcomes among transgender women diagnosed with HIV in the United States. To be included, articles needed to identify transgender women as a priority population for the intervention. We found 22 interventions, of which 15 reported quantitative or qualitative outcomes and 7 reported study protocols. Recent interventions have incorporated a range of strategies that show promise for addressing pervasive structural and individual barriers rooted in societal and cultural stigma and discrimination against transgender people. Cross-cutting themes found among the interventions included meaningful community participation in the design and implementation of the interventions; culturally affirming programs that serve as a gateway to HIV care and combine gender-affirming care and social services with HIV care; interventions to improve behavioral health outcomes; peer-led counseling, education, and navigation; and technology-based interventions to increase access to care management and online social support. Ongoing studies will further elucidate the efficacy and effectiveness of these interventions, with the goal of reducing disparities in the HIV care continuum and bringing us closer to ending the HIV epidemic among transgender women in the United States.
Canonical WNT pathway inhibition reduces ATP synthesis rates in glioblastoma stem cells.

BACKGROUND The conserved stem cell signaling network canonical Wingless (WNT) plays important roles in development and disease. Aberrant activation of this pathway has been linked to tumor progression and resistance to therapy. Industry and academia have substantially invested in developing substances, which can efficiently and specifically block the WNT signaling pathway. However, a clear clinical proof of the efficacy of this approach is still missing. Studies on the metabolomics dysregulation of cancer cells have led to innovations in oncological diagnostics. In addition, modulation of cancer cell metabolome is at the base of promising clinical oncology trials currently underway. While onco-protein activation can have profound metabolic outcomes, the involvement of stem cell signals, such as the WNT pathway, in tumor cell metabolomics is yet insufficiently characterized. MATERIAL AND METHODS We determined live cell metabolism and bioenergetics in pathophysiological relevant, WNT-dependent glioblastoma stem cell (GSC) models. We quantified those parameters in cells with canonical WNT activity and in isogenic cells where WNT activity had been inhibited by short hairpin RNA against β-catenin. Furthermore, we applied computational analysis of RNA sequencing to verify our functional findings in independent GSCs cohorts. RESULTS The investigated collection of disease models allows the separation in tumors with low, moderate and high base line metabolic activity. Suppression of canonical WNT signaling led to significant reduction of total, mitochondrial, and glycolytic ATP production rates. Elevated canonical WNT transcription signature in GSCs positively correlated with transcription levels of mitochondrial ATP synthesis, whereas non-canonical WNT gene expression signature did not. CONCLUSION The applied disease modeling technology allows the recapitulation of inter-tumoral heterogeneous metabolic properties of glioblastoma. Our data show for the first time that inhibition of canonical WNT signaling in alive GSCs functionally correlates with energy inhibition and glucose homeostasis. As this correlation occurs in GSCs from different transcriptional or epigenetic transcriptional subtypes, our results suggest that developing therapies directed against glycolysis/ATP-synthesis may be a promising strategy to overcome therapy resistance due to inter-tumoral heterogeneity and offers starting point to impair downstream signal WNT.
Law, Socio-Legal Governance, the Internet of Things, and Industry 4.0: A Middle-Out/Inside-Out Approach

The Web of Data, the Internet of Things, and Industry 4.0 are converging, and society is challenged to ensure that appropriate regulatory responses can uphold the rule of law fairly and effectively in this emerging context. The challenge extends beyond merely submitting digital processes to the law. We contend that the 20th century notion of ‘legal order’ alone will not be suitable to produce the social order that the law should bring. The article explores the concepts of rule of law and of legal governance in digital and blockchain environments. We position legal governance from an empirical perspective, i.e., as an explanatory and validation concept to support the implementation of the rule of law in the new digital environments. As a novel contribution, this article (i) progresses some of the work done on the metarule of law and complements the SMART middle-out approach with an inside-out approach to digital regulatory systems and legal compliance models; (ii) sets the state-of-the-art and identifies the way to explain and validate legal information flows and hybrid agents’ behaviour; (iii) describes a phenomenological and historical approach to legal and political forms; and (iv) shows the utility of separating enabling and driving regulatory systems.
A Multiple Transmitter and Receiver Electromagnetic System for Improved Target Detection

We have developed an alternative strategy for the inevitable deeper inductive electromagnetic (EM) exploration, which will be required as shallow deposits are exhausted. Rather than using very large magnetic moment ground loops, measurement stations are repeated using many smaller sized loops with smaller moments. The multiple transmitter data are then weighted and summed into a single high signal-to-noise ratio (S/N) composite transmitter. The composite transmitter can be thought of as a postprocessing method that uses the collected multitransmitter data to construct/simulate a transmitter, which maximizes the coupling to a particular target. The appropriate transmitter weights to use will depend on the target location and geometry, and, as such, different weighting schemes allow for the construction of different composite transmitters, each of which will maximally highlight different targets. We have assumed no prior knowledge of the location and orientation of the exploration targets, and we constructed composite transmitters for each possible location of a discretized subsurface and 324 possible target orientations (dipole embedded within a fully resistive medium). A modified difference of squares and a dipole look-up table was used to assess the fit between each composite transmitter and the suggested target location and orientation. Synthetic studies using conductive plate target(s) embedded within a fully resistive medium found that the target locations and orientations could be accurately determined and that the S/N of the composite transmitter was significantly higher than that of standard fixed-loop ground and airborne surveys. In a ground time-domain EM field test, 23 transmitter positions were used, and a shallow target (conductive dike) could be identified using the developed methodology. The composite transmitter data we produced was considerably easier to interpret and had a larger amplitude than that of any one single transmitter.
Automated Target-Driven Molecular Machine-Based Engineering Process For SARS-CoV-2 Monitoring

Nucleic acid structured electrochemiluminescence (ECL) biosensors provide valuable, versatile, programmable support for the development of medical diagnostics. Here, we constructed an automated DNA molecular machine with just one thiol-modified DNA probe and three nucleic acid probes on the surface of Ti3C2-based composites to monitor SARS-CoV-2, free from the limitations of motion tracks on the DNA molecular machine and significantly decreasing the probe modification fee. In the presence of the target, the designed DNA molecular machine conducted a modular reaction to transduce the target concentration information into an enhancement of the ECL signal based on DNA hybridization calculations. Modular, scalable reactions occur on DNA automata, reducing complex bioanalytical reactions to a single nucleic acid probe unit and eliminating the tedious steps of laying down motion tracks required by traditional molecular machines. By designing three capture probes, it is possible to extend the application ranges of the protocol from single to multi-target monitoring. Moreover, the strategy implements the bioanalysis of the SARS-CoV-2 in complex environments such as saliva dilutions and serum dilutions, which is valuable in promoting public health development and evaluating the environmental hazards of SARS-CoV-2.
Rock-and-Walk Manipulation: Object Locomotion by Passive Rolling Dynamics and Periodic Active Control

This study presents the method of robotic rock-and-walk manipulation for dynamic, nonprehensile object locomotion. The object, which is in contact with an environmental surface, is basically manipulated to rock from side to side about the contact point periodically by the robot system. In the meantime, the passive dynamics due to gravity enables the object to roll along a zigzag path that leads to a forward walk. Rock-and-walk is a special-purpose method that enables the transport of a certain class of objects, which are too large, heavy to apply other primary methods such as grasping- or pushing-based operations. Our work is motivated by an interesting question in archaeology, how the giant statues of Easter Island (known as “moai”) were transported several hundred years ago, and a recent demonstration performed by archaeologists that it is possible to walk the statue by periodic rocking. We present a detailed study of the dynamics, kinematics, and mechanics of the object-robot-environment system, and devise a feedback control strategy for rock-and-walk gaiting through the effective regulation of the object’s energy and posture. An extensive set of experiments demonstrate the viability and practicality of our approach in diverse settings: Caging-based single-robot manipulation and cable-driven dual-robot manipulation using manipulator arms and aerial robots.
TRANSFORMER-BASED MODEL FOR THE SEMANTIC PARSING OF ERROR MESSAGES IN DISTRIBUTED COMPUTING SYSTEMS IN HIGH ENERGY PHYSICS

Large-scale computing centers supporting modern scientific experiments store and analyze vast amounts of data. A noticeable number of computing jobs executed within the complex distributed computing environments ends with errors of some kind, and the amount of error log data generated every day complicates manual analysis by human experts. Moreover, traditional methods such as specifying regular expression patterns to automatically group error messages become impractical in a heterogeneous computing environment without a well-defined structure of error messages. ClusterLogs framework for error message clustering was developed to address this challenge. Theframework can discover common patterns in error messages from various sources and group them together. One of the essential results of this process is the clear automated description of the resulting clusters, which will be used for the analysis. In this research, we propose that interpreting error messages as a natural language allows us to use transformer-based deep learning models such as BERT for this task. A model for extracting the relevant part of messages was trained and integrated into ClusterLogs to represent each cluster as a few actionable items, ensuring better interpretation and validation of the results of clustering.
Evaluation of the Usefulness of Human Adipose-Derived Stem Cell Spheroids Formed Using SphereRing® and the Lethal Damage Sensitivity to Synovial Fluid In Vitro

Osteoarthritis (OA) is an irreversible degenerative condition causing bone deformation in the joints and articular cartilage degeneration with chronic pain and impaired movement. Adipose-derived stem cell (ADSC) or crushed adipose tissue injection into the joint cavity reportedly improve knee function and symptoms, including pain. Stem cell spheroids may be promising treatment options due to their anti-inflammatory and enhanced tissue regeneration/repair effects. Herein, to form human ADSC spheroids, we used first SphereRing® (Fukoku Co., Ltd., Ageo, Japan), a newly developed rotating donut-shaped tube and determined their characteristics by DNA microarray of mRNA analysis. The variable gene expression cluster was then identified and validated by RT-PCR. Gene expression fluctuations were observed, such as COL15A1 and ANGPTL2, related to vascular endothelial cells and angiogenesis, and TNC, involved in tissue formation. In addition, multiplex cytokine analysis in the medium revealed significant cytokines and growth factors production increase of IL-6, IL-10, etc. However, ADSC administration into the joint cavity involves their contact with the synovial fluid (SF). Therefore, we examined how SF collected from OA patient joint cavities affect 2D-culture ADSCs and ADSC spheroids and observed SF induced cell death. ADSC spheroids could become promising OA treatment options, although studying the administration methods and consider their interaction with SF is essential.
Aerodynamic-Aeroacoustic Optimization of a Baseline Wing and Flap Configuration

Optimization design was widely used in the high-lift device design process, and the aeroacoustic reduction characteristic is an important objective of the optimization. The aerodynamic and aeroacoustic study on the baseline wing and flap configuration was performed numerically. In the current study, the three-dimensional Large Eddy Simulation (LES) equations coupled with dynamic Smagorinsky subgrid model and Ffowcs–William and Hawkings (FW–H) equation are employed to simulate the flow fields and carry out acoustic analogy. The numerical results show reasonable agreement with the experimental data. Further, the particle swarm optimization algorithm coupled with the Kriging surrogate model was employed to determine optimum location of the flap deposition. The Latin hypercube method is used for the generation of initial samples for optimization. In addition, the relationship between the design variables and the objective functions are obtained using the optimization sample points. The optimized maximum overall sound pressure level (OASPL) of far-field noise decreases by 3.99 dB with a loss of lift-drag ratio (L/D) of less than 1%. Meanwhile, the optimized performances are in good and reasonable agreement with the numerical predictions. The findings provide suggestions for the low-noise and high-lift configuration design and application in high-lift devices.
Effect of Phosphorus Precursor, Reduction Temperature, and Support on the Catalytic Properties of Nickel Phosphide Catalysts in Continuous-Flow Reductive Amination of Ethyl Levulinate

Levulinic acid and its esters (e.g., ethyl levulinate, EL) are platform chemicals derived from biomass feedstocks that can be converted to a variety of valuable compounds. Reductive amination of levulinates with primary amines and H2 over heterogeneous catalysts is an attractive method for the synthesis of N-alkyl-5-methyl-2-pyrrolidones, which are an environmentally friendly alternative to the common solvent N-methyl-2-pyrrolidone (NMP). In the present work, the catalytic properties of the different nickel phosphide catalysts supported on SiO2 and Al2O3 were studied in a reductive amination of EL with n-hexylamine to N-hexyl-5-methyl-2-pyrrolidone (HMP) in a flow reactor. The influence of the phosphorus precursor, reduction temperature, reactant ratio, and addition of acidic diluters on the catalyst performance was investigated. The Ni2P/SiO2 catalyst prepared using (NH4)2HPO4 and reduced at 600 °C provides the highest HMP yield, which reaches 98%. Although the presence of acid sites and a sufficient hydrogenating ability are important factors determining the pyrrolidone yield, the selectivity also depends on the specific features of EL adsorption on active catalytic sites.