Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Thermo-analysis Combination Techniques in the Thermal Analysis of Polymer

This paper refers to three kinds of thermo-analysis combination techniques,including thermo-gravimetric analysis coupled with Fourier transform infrared spectrometry(TG-FTIR),pyrolysis gas chromatography-mass spectrometry(Py/GC-MS),and thermo-gravimetric-mass spectrum(TG-MS). The review introduces the test methods and principles.The application and development of these combination techniques in the high-temperature resistant polymer in recent years supply practical research methods for material thermal decomposition process and mechanism.This paper also looks forward to the inspect of these methods during the development of thermo-analysis.
HTLV-1 Tax Stimulates Molecular Events in Various Cancers

The human T-lymphotropic viruses (HTLV) are a family of retroviruses that causes adult T-cell leukemia/lymphoma (ATL). The objective of this study is to elucidate the host genes affected by the HTLV-1 Tax protein, find how host genes are affected, and how this influence is related to several cancer pathways. The DAVID program was used to examine genes affected by Tax, and the gene list was significantly enriched: pancreatic cancer, chronic and acute myeloid leukemia, small cell lung cancer, prostate cancer, non-small cell lung cancer, colorectal cancer, glioma, melanoma, and bladder cancer. The influence of Tax on genes involved in these pathways was studied and the effects on the progression of the pathway were deduced. HTLV-1’s Tax protein contributes epigenetically to the development of different cancers by altering normal transcription and translation, cell cycle signaling systems, and tumor suppressing mechanisms. The discovered effects of Tax on the NF-κB, MAPK, Cyclin-CDK, ErbB, Jak-STAT, VEGF, TGF-β, PI3K-Akt, and β-catenin pathways active during the progression of pancreatic cancer, chronic myeloid leukemia, small cell lung cancer, and colorectal cancer indicates that HTLV-1’s effects are not limited to ATL, can activate cancer-specific biomarkers including ZEB-1, ZEB-2, EZH2, E2F, TRIM33, GLUT1, HK2, PKM2, and LDHA, and can mimic the cancer-specific oncogenes BCR-ABL, K-Ras, and APC. Four signaling networks were elucidated to represent these signaling events, creating a useful representation of an HTLV-1 infection’s role in different cancers, which can aid in identifying and characterizing HTLV-1-associated cancers, determining prognosis, and selecting effective treatments for patients.
Controlled Orientation of Asymmetric Copper Deposits on Carbon Microobjects by Bipolar Electrochemistry

Asymmetric particles of various chemical compositions have attracted great attention because of their application potential in different areas, ranging from photosplitting of water to autonomous swimmers. In this context, the spatial arrangement of the different components can be of major importance. We report here a bulk procedure based on bipolar electrochemistry that allows generating asymmetric particles with a highly controlled spatial orientation of a metal deposit on a carbon substrate. Two fundamentally different topologies of the metal deposit can be obtained as a function of controllable experimental parameters like the orientation and amplitude of the electric field as well as the viscosity of the medium.
Quantifying chemical ozone depletion in the polar stratosphere

Chemical depletion of polar stratospheric ozone occurring during periods of enhanced reactive chlorine concentration in the winter and spring is investigated using both models and observations. A computationally-cheap and easily initialised photochemical model utilising CIO measurements from the Microwave Limb Sounder (MLS) on the Upper Atmosphere Research Satellite is developed. With this model, ozone destruction rates within the polar vortices due to the CIO + ClO, CIO + BrO and CIO + 0 catalytic cycles are evaluated. The method involves calculating local reactive chlorine concentrations from individual CIO retrievals, and then inferring the diurnal cycle of CIO from a quadratic expression using the relevant kinetic parameters. In test integrations this simple method is shown to give good agreement with more detailed calculations, but its speed of operation and the ease with which the CIO measurements are assimilated make it highly suited to dealing with the large amounts of data generated by MLS. Application of the method to the 1992-1993 Arctic and 1993 Antarctic winters yields maximum vortex-averaged ozone loss rates at 465 K potential temperature of -1% per day in both hemispheres. Time-integrated ozone destruction in the Arctic is less mainly because the duration of temperatures sufficiently low to sustain polar stratospheric clouds (PSCs) is shorter, and hence enhanced reactive chlorine concentrations are less persistent. The estimated chemical destruction on isentropic surfaces in the lower stratosphere is broadly similar to the observed change in ozone distribution, implying that the ozone change is dominated by chemical destruction, with dynamics playing a lesser role. An Antarctic winter-vortex is simulated in a chemical general circulation model (GCM) for the months of August and September. Chemical and dynamical impacts on the ozone change in the model are resolved by contrasting the temporal evolution of the 'chemical' ozone field with that of an inert tracer having the same initial distribution. It is found that the model results are consistent with the MLS-based chemistry-only calculations in indicating that there is very little dynamical replenishment of ozone on isentropic surfaces lying below 500 K. At higher altitudes the model implies a somewhat greater role for transport than does the chemistry-only analysis. Lagrangian trajectory calculations show ozone enrichment at these upper levels to be due to a combination of inflow of middle latitude air across the vortex boundary in the mid-stratosphere and rapid diabatic descent of ozone-rich air within the vortex itself. During the earlier part of the integration the 0CM chemical simulation gives a reactive chlorine distribution similar to that inferred from the MLS CIO measurements, but later in the run the absence of a representation of denitrification caused by sedimentation of PSCs leads to a premature deactivation of chlorine and termination of ozone destruction.
Clinical and cytopathologic characteristics of lymphoid neoplasms involved with serous effusions: a single center experience

Background: Lymphoid neoplasms in serous effusions (SEs) were uncommon. Currently, most reports of lymphoid neoplasms in SEs were from Western countries, but few reports were from China, and the details were still unclear. Methods: Between January 2004 and December 2019, lymphoid neoplasms diagnosed by cytological methods from specimens of pleural effusions (PEs), ascites, and pericardial effusions in our hospital were reviewed.Results: 59 patients of lymphoid neoplasms were diagnosed by SEs, the top three causes were diffuse large B-cell lymphoma (DLBCL) (n=21, 35.6%), myeloma (n=13, 22.0%), and T-lymphoblastic lymphoma (n=5, 8.5%). In PEs involved with DLBCL, the cytomorphology of DLBCL cells was variable, most PEs were present during tumor course (92.9%), bilateral PEs were the predominance (57.2%), and the median survival time was only 1.23 months after effusion. In PEs involved with myeloma, nearly all cases had a high ratio of immature to mature plasma cells (>1.0), IgA (36.4%) and light chain λ (36.4%) were the most frequently found. Bilateral PEs were easily found (90.9%), and the median survival time was only 1.4 months after effusion. Solitary plasmacytomas with myeloma infiltration in PEs seemed to have a better prognosis than that of plasma cell myeloma.Conclusion: Some differences are found between our patients and those from Western countries, and more studies involving different ethnic populations could help to elucidate the features of lymphoid neoplasms in SEs.
GNG5 is a novel oncogene associated with poor prognosis in glioma patients

Background: Although many biomarkers have been reported for detecting glioma, the prognosis for the disease remains poor, and therefore, new biomarkers need to be identified. GNG5, which is part of the G-protein family, has been associated with different malignant tumors, though the role of GNG5 in glioma has not been studied. Therefore, we aimed to identify the relationship between GNG5 expression and glioma prognosis and to identify a new biomarker for the diagnosis and treatment of gliomas.Methods: We used datasets from databases including TCGA and GEO, and results from GEPIA, RT-qPCR, and HPA to determine the expression of GNG5 in glioma. Based on datasets obtained from the CGGA database, we identified the correlation between GNG5 expression and multiple molecular and clinical features as well as clinical prognosis using a variety of analytical methods. Co-expression analysis and GSEA were performed to detect GNG5-related genes in gliomas and possible signaling pathways involved. ESTIMATE, ssGSEA, and TIMER were used to detect the relationship between GNG5 and the immune microenvironment.Results: A total of 1826 glioma related datasets were used in our study, including sequencing data, microarray data, and RT-qPCR data. We found that GNG5 is highly expressed in gliomas, and its expression level is positively correlated with pathological grade, histological type, age, and tumor recurrence and negatively correlated with isocitrate dehydrogenase mutation, 1p/19 co-deletion, and chemotherapy. Moreover, GNG5 as an independent risk factor was negatively correlated with the overall survival time. GSEA analysis revealed the potential signaling pathways involved in GNG5 function in gliomas, such as ECM-receptor interaction and the toll-like receptor signaling pathway. The ssGSEA, ESTIMATE, and TIMER based analysis indicated a correlation between GNG5 expression and various immune cells in glioma, such as B cell, macrophage, and dendritic cells.Conclusions: Based on the large data platform and the use of different databases to corroborate results obtained using various datasets, our study reveals for the first time that GNG5, as an oncogene, is overexpressed in gliomas and can lead to poor prognosis of patients. Thus, GNG5 is a potential novel biomarker for the clinical diagnosis and treatment of gliomas.
UAV-Aided Low Latency Multi-Access Edge Computing

As an emerging technique, unmanned aerial vehicle (UAV) aided multi-access edge computing (MEC) network has been improving the performance of the communication network. The novel architecture is beneficial for coverage, flexibility, and reliability. However, reducing network latency is a critical issue. In this paper, we design a UAV-aided network with a millimeter wave (mmWave) backhaul to achieve the multi-access edge computing. The routing problem is formulated and solved first to obtain the optimal routes through the ad hoc link for all users. Then, we formulate the joint trajectory design and resource allocation problem, which is a mixed-integer nonconvex programming, to minimize the network latency. Furthermore, we design a novel iterative algorithm framework to handle this challenging problem. In the outer loop, the proposed problem is separated into the primal problems and master problems by adopting generalized benders decomposition (GBD). In the inner loop, we design the algorithm to solve the continuous nonconvex primal problem by combining the alternating direction method of multipliers (ADMM), Dinkelbach algorithm, and successive convex approximation (SCA) algorithm. The simulation results demonstrate that our proposed algorithm framework is effective and feasible.
Effect of the dilation caused by helium bubbles on edge dislocation motion in α-iron: molecular dynamics simulation

ABSTRACT Various types of nanometric defects such as voids and helium (He) bubbles produced by high-energy neutron irradiations are known to degrade the mechanical properties of irradiated materials. In this study, we have evaluated the obstacle strength of He bubbles to the mobility of an edge dislocation in α-iron for 2 and 4 nm bubbles with He-to-vacancy (He/V) ratios ranging from 0 to 1 at 300 and 500 K, by molecular dynamics simulation. Results showed that as the He/V ratio increases, the obstacle strength needed for the release of a dislocation from the bubble becomes stronger up to a moderate He/V ratio (0.6 and 0.4 for 2 and 4 nm bubbles, respectively, at both temperatures), and a further increase in the He/V ratio leads to weakening of the obstacle strength. For He/V = 1, the obstacle strengths are 10–30% weaker than those at moderate He/V ratios depending on the bubble size and temperature. The extent of obstacle strength was found to be correlated with the dilation caused by He bubbles depending on the bubble size, He/V ratio, and temperature.
Study on NO Reduction and Its Heterogeneous Mechanism through Biomass Reburning in an Entrained Flow Reactor

The effects of biomass types (including cotton stalk, wheat straw, rice husk, and rice straw), the stoichiometric ratio in the reburning-zone (SR2), the reaction temperature in the reburning-zone (t2), the particle sizes of biomass reburning fuels (dp), and the reburning fuel fraction (Rff) on NO reduction efficiency during biomass reburning were investigated systematically in an entrained flow reactor. The NO heterogeneous reduction mechanism resulting from the reburning of wheat straw and its char was analyzed. The results indicated that cotton stalk has the best performance of NO reduction, wheat straw is in second place, and rice husk and rice straw are less effective. In the range of t2 = 900–1100 °C NO reduction efficiency increases when the reburning-zone reaction temperature is increased at the same SR2. NO reduction efficiency increases insignificantly with a decrease in the particle size of the biomass with dp < 425 μm. NO reduction efficiency follows a pattern of first increasing and then decre.
Evaluation and Analysis of Passive Optical Network with Optimum Parameter’s

This paper shows Optical network designing with the optical property is that it straightforwardly changes over the optical energy without changing over it into electrical energy. This paper proposes novel planning, investigation, and assessment of an optical organization. This paper additionally clarifies why EDFA optical amplifier is greatly improved as a correlation with the other optical intensifier (organization). The optical enhancer is the most significant property in that it directly changes over the optical energy without changing over electrical energy. This paper tells the ideal boundaries utilization for the change of enhancing the optical sign with no contortion. In this paper plan and actualize the fell phases of the optical enhancer (organization) with-out any deficiency of the signs in the various phases of the amplifier. It's likewise clarifying the future planned of the EDFA optical enhancer. The Erbium-doped fiber amplifier (EDFA) optical speaker (organization) investigates how the optical network expands the productivity of the sign. This optical network shows that the frequency and commotion gain reaction in the phases of the optical organization and it will explore the various boundaries of the optical organization. It will clarify the comprehension of the EDFA optical organize and investigate the following ages of the organization's and its qualities
Increasing Diversity with Deep Reinforcement Learning for Chatbots

Dialogue generation for open-domain conversations is a difficult and open problem that, so far, has not been able to approach human-level performance. Recently, a popular solution is to apply a sequence-to-sequence architecture, similar to the machine translation problem. These models try to map the input - given as the previous utterances, to the output - the next utterance. Unfortunately, they usually tend to repeat sentences, often preferring dull responses, that end the conversation abruptly. Therefore, Reinforcement Learning techniques have been combined with the standard sequence-to-sequence models in order to avoid their shortcomings. Our model applies a Policy Gradient method that maximizes the expected reward of generating the next utterance given a history of previous utterances. The results show an improvement in diversity up to 0.16 - almost 10x higher than the model without RL, while keeping the responses relevant to the input message.
Calcium Carbonate Mineralization in a Confined Geometry

Injection of CO2 in porous aquifers, where mineralization takes place via chemical reactions, is one possible long-term solution considered for storage of this greenhouse gas. This mineralization is investigated here experimentally in a confined geometry by injecting radially an aqueous solution of carbonate into a solution of calcium ions to produce solid calcium carbonate. Various precipitation patterns are observed depending on the injection rate and concentrations of the reactants. The pattern properties are quantified to analyze the influence of the growth conditions on mineralization. We show the existence of critical concentrations of reactants, which are functions of the flow rate, above which the amount of precipitate drops significantly.
Thermal Diffusion Technique for In-Fiber Discrete Waveguide Manipulation and Modification: A Tutorial

Thermal diffusion is the phenomenon of the migration of dopants in an optical fiber during high-temperature treatment. Research on the theory and technique of optical fiber thermal diffusion shows that the thermal diffusion technique (TDT) is a more stable and controllable means than the fusion tapering technique to change the refractive index distribution, which is used to manipulate and modify the optical field of in-fiber integrated discrete waveguides. In this tutorial, after a brief introduction to the basic thermal diffusion concepts, we review the development of TDT. Then we emphasize the basic theory of thermal diffusion, including typical calculation models and boundary conditions, and we describe several typical micro heaters. Based on in-fiber discrete waveguides, we demonstrate TDT to realize several fundamental functions of in-fiber integrated optical devices, including signal exchange, mode field convertors, beam transformers, and phase shapers. In addition, we also discuss methods to evaluate thermal diffused discrete waveguides. This article provides a tutorial introduction, a comprehensive background on this subject as well as a selection of the most important applications.
Financial crises and the vicious circle between good and bad payers

This paper proposes a dynamic model based on continuous time Markov chains that allows to study the evolution of the number of bad and good payers in an open economy, known their number at the beginning of the period. An equilibrium analysis is performed and its implication on possible economic policy measures that may help to overcome financial crises are discussed.
Mapping spatial dimensions of Wilderness recreation outcomes: a study of overnight users

Grand Teton National Park (GRTE) is a popular mountain recreation destination which, like many National Park Service (NPS) units, has experienced a significant increase in visitation in recent years, with total visits increasing by 27% between 2014 and 2017 (NPS 2020). Particularly popular within GRTE is the String and Leigh Lakes (SLL) area, which is a favoured alpine destination for numerous day-use recreation activities and also an important starting point for backcountry and overnight recreational users within GRTE’s Recommended Wilderness. To better understand the visitor experience of overnight backcountry recreationists in the SLL area, data were collected using novel public participatory geographic information systems (PPGIS) during the summer of 2018. PPGIS data were used to identify the locations in which overnight recreationists experienced positive and negative recreation outcomes. Results indicate that they experience more positive outcomes within the Recommended Wilderness, away from high-density, trailhead-proximate areas outside the Recommended Wilderness. Findings also indicate that overnight users experience crowding and conflict more outside of the Recommended Wilderness than elsewhere on their backcountry trip. While this may seem intuitive, these are some of the first empirical results spatially contextualizing backcountry visitor outcomes in a popular national park. The findings thus provide managers with a visitor experience baseline that can be monitored and adaptively managed in the future.
Representing a conceptual model for integrating Project Management Information Systems in project-based organizations

Purpose: This paper aimed to introduce a comprehensive model for integrating project management information systems in project-based organizations. Research methodology: The proposed model is presented hierarchically through a comprehensive literature review and a review of several national projects in Iran. Validation of this model was done in two ways. On the one hand, expert opinions were asked about it through several interviews. On the other hand, the model was used in some national projects and its deficiencies were identified. Finally, the necessary modifications were made to the model. Results: In this study, it became clear that a comprehensive, integrated project management information system at its macro level should consist of three subsystems, including project warden, project administrator and project employer that mutual exchange of information should be done well between them. It was also found that this mutual information exchange should also exist among the components of each of these subsystems. Limitation: This research only described in project based organizations. Contribution: The Project Management Information System (PMIS) model provided in this research is the most comprehensive models in this scope for project-based organizations that have considered all aspects of project management. Keywords: Project management, PMIS, Project-based organizations, Integrated model
Acid hydrolysis of water hyacinth to obtain fermentable sugars

In order to take advantage of the aquatic weed water hyacinth (Eichhornia crassipes) as lignocellulosic feedstock for the production of reducing sugars, a bromatological characterization of the leaves and stems of the plant was performed. Then, the effects of the sulfuric acid concentration (1 - 3% v/v), the concentration of solids (10 to 12.5% w/v) and the reaction time (15 - 25 min) at 121°C/15 psi in the production reducing sugars were studied by employing a central composite design. It was found that the acid concentration was the most significant variable. The optimal conditions were solids 11.25% p/v, H2SO4 2% v/v and 20 minute reaction time. These conditions yielded a concentration of reducing sugars of 33.3 g/L.
The Health Concept in the Complementary Medicine

Health is defined from current academy concepts and then is compared with the complementary medicine professional’s definition. In order to compare analysis of discourse of professional from Ciudad de México y Seville is carried out focusing in their complementary health cultural framework. The preliminary results show a positive and multidimensional concept of health and currently it is working finishing the analysis and reporting the conclusions.