Miracle-dz/UniFAR-FTUs huggingface dataset:
OBSTRUCTED LYMPHATIC TRANSPORT AND LEAKAGE DRIVEN BY MESENTERIC TERTIARY LYMPHOID ORGANS IS A FEATURE OF CROHN’S DISEASE MOUSE MODEL

Pioneer reports of Crohn’s disease (CD) suggested that impaired lymphatic flow might drive its pathogenesis but remains unsettled. Nodules of tertiary lymphoid organs (TLO) are found in association with collecting lymphatic vessels (CLVs) of the mesentery that normally conducts lymph outflow from the intestine. Whether TLOs affect lymph transport is unknown. In the TNFΔARE mouse model of Crohn’s-like ileitis, TLOs are found in valves regions. Using lymphatic reporters and photoconversion to study cell trafficking from the intestine, our findings indicated that TLOs halts immune cells traveling from the inflamed ileum to the lymph node, effectively trapping DCs, B, and T cells, and impacting the development of microbe tolerogenic regulatory T cells. Lymphatic transport defects were intrinsic to the CLVs because the soluble fluorescent tracer’s passage through TLO was also blocked. Lymph blockage promoted retrograde lymphatic flow returning towards the gut wall due to incapable valves. Moreover, significant lymph leakage was found, specifically at the TLOs. Neutralizing anti-TNF mAb treatment into TNFΔARE mice is ineffective in eliminating TLOs or restoring lymphatic trafficking when administered in female mice with advanced disease. In males, the therapy was able to restore forward flow to the lymph node. However, even in the presence of TNF inhibition, both sexes demonstrated TLO lymph leakage. Thus, mesenteric TLOs that form during chronic ileitis drive broadly impaired lymph transit of molecules and cells from the intestine that is only partially reversible by neutralizing the cytokine cascade underlying the disease and establish a perennial tissue alteration.
Simulation of energy impact of an energy recovery ventilator in Northern housing

The single core Energy Recovery Ventilator (ERV) used in this study is equipped with defrost control that recirculates the exhaust indoor air, while keeps the outdoor air intake damper closed. This defrost strategy has the disadvantage of reducing the outdoor air supplied to the house, which may affect the indoor air quality. First, this paper presents new correlation-based models of supply air temperature T2 after the energy recovery core during normal and defrost operation modes based on laboratory experimental data. A pre-heating coil heats the supply air from T2 to indoor air temperature. Second, a house in Montreal (4356 HDD) is simulated as a reference using TRNSYS program. Since the program cannot simulate the operation under defrost mode, the new models are connected in TRNSYS using equation boxes. The energy use of houses at three locations in northern Canada with HDD of 8798 (Inuvik), 8888 (Kuujjuaq) and 12208 (Resolute), are also simulated, without and with ERV unit. The seasonal energy used for heating the house and pre-heating the supply air is compared with results from Montreal. Compared to the case without heat recovery, the ERV unit leads to energy savings: 24% (Montreal), 26% (Inuvik), 27% (Kuujjuaq), and 27% (Resolute). Compared to the minimum standard requirements, the outdoor airflow rate due to defrost is reduced by 4.7% (223 hours) in Montreal, 19% (1043 hours) in Inuvik, 13% (701 hours) in Kuujjuaq, and 24% (1379 hours) in Resolute.
Ultrafast High-Energy Electron Radiography Application in Magnetic Field Delicate Structure Measurement

Transient electromagnetic field plays very important roles in the evolution of high-energy-density matter or laser plasma. Now, a new design is proposed in this paper to diagnose the transient magnetic field, using relativistic electron bunch as a probe based on high-energy electron radiography. And based on this scheme, the continuous distribution of magnetic strength field can be snapshotted. For 1 mm thick quadrupole magnet model measured by 50 MeV probe electron beams, the simulation result indicates that this diagnosis has spatial resolution better than 4 microns and high measurement accuracy for strong magnetic strength and high magnetic gradient field no matter whether the magnetic interaction is focusing or defocusing for the range from -510 T ∗ μm to 510 T ∗ μm.
On Time-Frequency Synchronization in LoRa System: From Analysis to Near-Optimal Algorithm

This article deals with time and frequency synchronization in the Long Range (LoRa) system based on the preamble symbols. A thorough analysis of the maximum-likelihood (ML) estimator of the delay (time offset) and the frequency offset shows that the resulting cost function is not concave. As a consequence the a priori solution to the maximization problem consists in exhaustively searching over all the possible values of both the delay and the frequency offset. Furthermore, it is shown that these parameters are intertwined and therefore they must be jointly estimated, leading to an extremely complex solution. Alternatively, we show that it is possible to recover the concavity of the cost function, from which we suggest a low-complexity synchronization algorithm, whose steps are described in detail. Simulations results show that the suggested method reaches the same performance as the ML exhaustive search, while the complexity is drastically reduced, allowing for a real-time implementation of an LoRa receiver.
CONFIANÇA: O NÓ GÓRDIO DA INFORMAÇÃO FINANCEIRA / TRUST: THE GORDIAN KNOT OF FINANCIAL INFORMATION

Desde o início do século XXI tem-se assistido à revelação de uma série de escândalos de cariz económico e financeiro, cada um mais surpreendente que o anterior. Quase sempre aqueles escândalos são categorizados como fraudes contabilísticas quando, na verdade, se referem à manipulação dos resultados e à falta de princípios éticos. Organizações até aí insuspeitas pela reputação adquirida surpreenderam a Sociedade, quebrando as relações de confiança nelas depositadas. Como consequência, urge alterar alguns paradigmas de gestão, incrementando métodos eficazes de participação e de controlo das partes interessadas, onde a confiança na informação financeira divulgada, a par de outras variáveis de cariz mais qualitativo, serão incontornáveis. Esta estratégia terá o mérito de resolver um problema complexo de maneira simples e eficaz! Since the beginning of the twenty-first century, we have taken knowledge of numerous economic and financial scandals, each one more amazing than the last. Almost always those scandals are categorized as accounting fraud. In fact, they refer to the manipulation of results and lack of ethical principles. Organizations hitherto unsuspected because of the reputation they built are now a negative surprise for everybody. They are breaking trust relations that were deposited on them. As a result, it is urgent to change some paradigms of management, increasing effective participation methods and control by the stakeholders, where confidence in disclosed financial information, along with other variables, of more qualitative nature, will be unavoidable. This strategy will have the merit to solve a complex problem in a simple and effective way! JEL: G10; G20 Article visualizations:
The Usage of Video in Encouraging Women With Cervical Cancer Risk to Do Early Detection: A Qualitative Study

— Global Burden of Cancer identified that cervical cancer is the fourth most cancer, but is the second most cancer in women aged 15-44 years and is estimated to be> 80% in developing countries. This research is a qualitative research with casus study approach. Sampling was done by using purposive sampling technique. The use of video media containing cervical cancer material and early detection can increase knowledge and positive attitudes towards cervical cancer and early detection. Conclusion: The use of video in health promotion can increase knowledge and positive attitudes towards cervical cancer and early detection. Knowledge and positive attitude towards the urgency of early detection of cervical cancer are fully practiced in the form of concrete behavior.
Attributes selection using machine learning for analysing students’ dropping out of university: a case study

Many students in Bulgarian universities drop out of the university before completing their studies. Identifying students at risk of dropping out allows timely taking measures for their retention. The paper presents the results of a study conducted among students of engineering programs at Trakia University - Stara Zagora. The collected data are subjected to processing, which aims to find the most important attributes that determine the risk of dropping out of university. The processing is done with Weka open source software. Different algorithms for selecting attributes with different search methods are applied. The most appropriate attribute selection algorithm was selected after applying the BayesNet classifier to the results obtained. The indicators TP rate, Precision and F-measure were compared. When applying InfoGainAttributeEval, the highest results are obtained for the accuracy of the classification. At the next stage, it is planned to expand the study among a larger number of students from different programs and create an effective forecasting model.
The Proteolytic Activation of Vascular Endothelial Growth Factors

Specific proteolytic cleavages turn on, modify, or turn off the activity of vascular endothelial growth factors (VEGFs). Proteolysis is most prominent among the lymph­angiogenic VEGF-C and VEGF-D, which are synthesized as precursors that need to undergo enzymatic removal of their C- and N-terminal propeptides before they can activate their receptors. The activating cleavage of VEGF-C is mediated by at least five different proteases: plasmin, ADAMTS3, prostate-specific antigen, cathepsin D, and thrombin. All of these proteases except for ADAMTS3 can also activate VEGF-D. Processing by different proteases results in distinct forms of the "mature" growth factors, which differ in affinity and receptor activation potential. The “default” VEGF-C-activating enzyme ADAMTS3 does not activate VEGF-D and therefore, VEGF-C and VEGF-D do function in different contexts. VEGF-C itself is also regulated in different contexts by different proteases. During embryonic development, ADAMTS3 activates VEGF-C. In contrast, thrombin and plasmin likely activate VEGF-C/-D during tissue injury-induced lymphangiogenesis, and PSA and cathepsin D perhaps during tumor-associated pathological lymphangio­genesis. Additionally, cathepsin D from saliva might activate latent VEGF-C/-D upon wound licking, thereby accelerating healing. Similar to tyrosine kinase receptors and VEGFs themselves, these activating proteases could be targeted to modulate angiogenesis and lymphangiogenesis in relevant diseases.
Bibliometric analysis of the study on exposure evaluation to aerosol nano or ultrafine particles in the breathing zone

To map the advancement of exposure evaluation research for particles less than 100 nm in the breathing zone, we developed a bibliometric analysis using VosViewer 1.6. 15 by collecting relevant publications from Scopus on August 10th, 2020. Of 769 relevant documents, 90.64 % (n = 697) came from the journal and used English as the language that started to be published in 1985. The results showed that research themes have grown on the three clusters related to inhaled nanoparticles exposure measurement, responses and effects, and their primary existence in consumer products. Moreover, depth analyses by visualizing maps of the top active countries, authors, and top-cited documents on the citation, co-citation, or co-occurrence have revealed several essential pieces of information on this research area. Our findings suggest that the greater depth on appropriate devices for exposure measurements, particularly in nano-sized, which matches with the metrics were needed. Through these efforts, the capabilities of analyses can improve for future inhaled nanoparticles exposure assessments.
Convolutional Neural Network Formulation to Compare 4-D Seismic and Reservoir Simulation Models

We propose a novel approach based on Deep Learning methods using a convolutional neural networks (CNNs) to compare observed four-dimensional (4-D) seismic data with reservoir simulation model results and select the simulation models with the best match. Our approach advantages are twofold: 1) it is not a pixel-based approach, as it learns spatial features through training examples and 2) it does not require the simulation model and 4-D seismic maps to be in the same domain, enabling a direct comparison of maps in the seismic domain with maps in the numerical simulation domain. Additionally, we present a new methodology to quantitatively assess the performance of each method relative to the expected results. For this purpose, we build an annotated dataset containing the maps that best match the 4-D seismic in different realistic scenarios while taking into account the specialists’ knowledge. We apply our methodology to evaluate if a method is able to perform according to what specialists expect, considering the annotated data. We also propose an improvement to traditional methods using a statistical method to convert maps of different physical properties into a common property, which can be used as an alternative to avoid forward and/or inversion procedures commonly used to bring 4-D seismic and simulation data to the same domain. Finally, we present an extensive comparison, qualitative and quantitative, of our approaches with other methods in the literature, such as the traditional pixelwise strategy for maps in the same domain, and methods based on binarization of maps in different domains. The results show that our proposed methods are capable of more accurately identifying the best-matched models, according to the specialists’ answers.
Moral identity, moral self-efficacy, and moral elevation: A sequential mediation model predicting moral intentions and behaviour

ABSTRACT Witnessing acts of uncommon moral virtue can elicit feelings of moral elevation, which translate further into prosocial intentions and behaviour. Recent findings suggest that moral identity strengthens the elevation response after witnessing such acts. In the present paper, we propose that the positive relationship between moral identity and elevation is mediated by perceived moral self-efficacy (i.e. perceived ability to behave up to one’s moral standards), as a result of the moral vicarious experience. We present a set of five studies that tested the effect of moral identity (either measured or manipulated) and moral self-efficacy on elevation, prosocial intentions, and behaviour, following exposure to an act of uncommon virtue. Results supported a sequential mediation model: the positive effect of moral identity on elevation was mediated by moral self-efficacy; and elevation then mediated the effect of moral identity on prosocial intentions (Studies 3a-3b-4) and behaviour (Study 4). Implications and limitations are outlined.
Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering

The comprehensive access to road traffic patterns in the continuously growing urban areas is key to achieve a sustainable mobility. However, the inherent complexity of urban traffic poses many challenges to achieve this goal, including: i) the need to integrate heterogeneous views of road traffic (such as speed limits, jam size, delay, throughput) from available sources; ii) the complex spatiotemporal intricacies of geolocalized speed and loop counter data; iii) the need to mine congestion patterns robust to the inherent traffic variability and unexpected occurrence of events, taking also into consideration the varying degrees of congestion severity; and iv) the need to guarantee the statistical significance and interpretability of the target patterns. In the context of our work, a road traffic pattern is a recurrent congestion profile (w.r.t. speed limits, jam extent and flow) that can span multiple locations and time periods within a day. Biclustering, the discovery of coherent subspaces (local patterns) within real-valued data, has unique properties of interest, being positioned to unravel such traffic patterns, while satisfying the aforementioned challenges. Despite its relevance, the potentialities of applying biclustering in mobility domains remain unexplored. This work proposes a structured view on why, when and how to apply biclustering for mining traffic patterns of road mobility, a subject remaining largely unexplored up to date. Using the city of Lisbon as a guiding case, we illustrate the relevance of biclustering geolocalized speed data and loop counter data. The gathered results confirm the role of biclustering in comprehensively finding statistically significant and actionable spatiotemporal associations of road mobility.
TEACHERS’ PERCEPTIONS ON ADOPTING E-LEARNING DURING COVID-19 OUTBREAKS; ADVANTAGES, DISADVANTAGES, SUGGESTIONS

This study is to know the teachers' perception of adopting a virtual classroom during a pandemic and discover the conveniences, obstacles, and suggestions when e-learning is being carried out. Sort of this research was qualitative using descriptive method. The method of choosing respondents used convenience sampling. Data collection used questionnaires and open-ended questions. Junior and senior high school teachers in North Maluku were respondents in this research. The subjects of this study were 92 respondents. To analyze the data using SPSS 17. Based on the finding, it found that majority of the teachers used several platforms for online home study during the lockdown. Either Single types of platforms or mixed e-learning was used to gain maximum results in instructional activity. Nine list advantages were addressed on e-learning; in the contrary, it also produced seven barriers. Additionally, the educators offered attractive and innovative ideas to tackle numerous obstacles among educators, students, and educational institutions
DATA-DRIVEN IDENTIFICATION OF GOVERNING PARTIAL DIFFERENTIAL EQUATIONS FOR THE TRANSMISSION LINE SYSTEMS

Discovering governing equations for transmission line is essential for the study on its properties, especially when the nonlinearity is introduced in a transmission line system. In this paper, we propose a novel data-driven approach for deriving the governing partial differential equations based on the spatial-temporal samples of current and voltage in the transmission line system. The proposed method is based on the ridge regression algorithm to determine the active spatial differential terms from the candidate library that includes nonlinear functions, in which the time and spatial derivatives are estimated by using polynomial interpolation. Three examples, including uniform and nonuniform transmission lines and a specific type of nonlinear transmission line for soliton generation, are provided to benchmark the performance of the proposed approach. The results demonstrate that the newly proposed approach can inverse the distributed circuit parameters and also discover the governing partial differential equations in the linear and nonlinear transmission line systems. Our proposed data-driven method for deriving governing equations could provide a practical tool in transmission line modeling.
Dosimetry of Thermal Neutron Beamlines at a Pulsed Spallation Source for Application to the Irradiation of Microelectronics

Gas electron multiplier (GEM) detectors and activation foils have been used for dosimetry of thermal beamlines of a pulsed neutron source. The first is an active detector that performs measurements using the time-of-flight technique, taking advantage of the pulsed nature of the source. The same detector has been used successfully to measure the profiles of the beams. The second is a passive irradiation method that independently confirms the measured fluxes of equipment materials and mechanics analyzer (EMMA) and rotating analyzer crystal (X) spectrometer (ROTAX) beamlines of the ISIS neutron source. They feature different thermal spectra, the first being moderated with water (300 K) and the second with liquid methane (100 K). These two characterized beamlines have been used for the irradiation of microelectronics for single-event effect testing using a reference static random access memory (SRAM) module. It is shown that results are consistent and that a correction factor must be applied to scale the results on the cold beamline to the one at room temperature.
Prevention of COVID-19 by Strengthening Body’s Immune System through Self-Healing

Coronavirus Disease 2019 (COVID-19) has infected thousands of people in Indonesia. A strong immune system can ward off COVID-19 transmission. This study aims to determine the prevention of COVID-19 by strengthening the body’s immune system through self- healing. This study uses qualitative methods with analytical descriptive methods. The research subjects were three People in Monitoring (ODP) COVID-19. Based on extensive interviews and observations at the research site as the main tool for data collection, this study produced several findings. First, there are two causes of the decline in the body’s immune system: medical and psychological factors. Medically, the causes of the body’s immune system are weak: lack of exercise, consuming less nutritious food, dehydration, and lack of sleep. Psychological factors, the cause of the body’s immune system is weak due to stress, anger, fear, tension, and emotional. Second, preventing COVID-19 by strengthening the body’s immune system through self-healing, namely self-healing mentally and self-healing physically. Mental self-healing includes relaxation, contemplation, strengthening worship, and happiness. While the physical self-healing includes eating with nutritious and balanced food, maintaining physical fitness, maintaining hygiene, and health. A strong immune system through self-healing can prevent individual from COVID-19. Suggestions for further researchers is that they can broaden the scope of research by examining more deeply, such as variations in research subjects and variable, data analysis.
Arbitrary-Order Photonic Hilbert Transformers Based on Phase-Modulated Fiber Bragg Gratings in Transmission

Photonic Hilbert transformers are fundamental components for optical computing and signal processing. Here, for the first time we propose all-optical arbitrary-order Hilbert transformers using phase-modulated fiber Bragg gratings (PM-FBGs) in transmission to our best knowledge. The PM-FBG is a kind of fiber grating, whose coupling strength remains almost uniform and period varies along the fiber length. For demonstration, we have designed and numerically simulated 0.5th-order, first-order, and 1.5th-order photonic Hilbert transformers, respectively. The profiles of those PM-FBGs are obtained employing quasi-Newton optimization algorithm. Simulation results show that the designed three Hilbert transformers are all in good agreement with the ideal results in bandwidths up to 500 GHz and can tolerate a large range of input pulse width.