Miracle-dz/UniFAR-FTUs huggingface dataset:
Parametric Analysis of a Universal Isotherm Model to Tailor Characteristics of Solid Desiccants for Dehumidification

Cooling has a significant share in energy consumption, especially in hot tropical regions. The conventional mechanical vapor compression (MVC) cycle, widely used for air-conditioning needs, has high energy consumption as air is cooled down to a dew point to remove the moisture. Decoupling the latent cooling load through dehumidification from the sensible cooling load can significantly improve the energy requirement for air-conditioning applications. Solid desiccants have shown safe and reliable operation against liquid desiccants, and several configurations of solid desiccants dehumidifiers are studied to improve their performance. However, the characteristics of solid desiccants are critical for the performance and overall operation of the dehumidifier. The properties of every desiccant depend upon its porous adsorbing surface characteristics. Hence, it has an optimum performance for certain humid conditions. Therefore, for a better dehumidification performance in a specific tropical region, the solid desiccant must have the best performance, according to the humidity range of that region. In this article, a theoretical methodology has been discussed to help the industry and chemists to understand the porous structural properties of adsorbent surfaces needed to tune the material performance for a particular humidity value before material synthesis.
Path Following with Collision Avoidance and Velocity Constraints for Multi-Agent Systems

This paper deals with avoidance constraints while following an optimal trajectory for a group of agents operating in open space. The basic idea is to use the Model Predictive Control (MPC) technique to solve a real time optimization problem over a finite time horizon. Following a specified trajectory, the agents move in the same direction and eventually they end up in a particular formation. Combining the optimization-based control study with the ability of MPC to handle convex and non-convex constraints allows a thorough analysis of the motion control of a group of agents with linear dynamics subject to state constraints. Avoidance constraints are also added to the optimization problem when the agents are operating in an environment with obstacles. A flat trajectory is planned in the physical open space allowing the agents to maneuver successfully in such a dynamic environment and to reach a common objective.
Spectroradiometry for Solar Physics in Space

Realistic physical and chemical descriptions of the Sun require observations that have been made with spectroradiometrically calibrated telescopes and spectrometers, i.e., with instruments that have a known spectral responsivity. Such calibrations assure that a measured spectral radiance or irradiance is determined on a scale that is defined by the radiometric standards realised and used in laboratories.
Uncertainties: An investigation of aleatory and epistemic errors in market segmentation analysis

Abstract Despite the popularity of cluster analysis as a segmentation tool, its limitations continue to include the production of random solutions and the existence of uncertainties. This study aims to assist marketers in understanding the characteristics of festival goers based on music events in Malaysia. The present study investigates the existence and effect of uncertainties produced in cluster analysis results by using an artificial neural network (ANN). Four market segments are identified: the alarm hitter, the technology ticker, the plug puller, and the fuse blower. Error analysis results reveal that uncertainties may cause incorrect predictions. Academically, the limitations in existing market segmentation studies are highlighted by adding the process of ANN training and testing the segments generated from the cluster analysis. From the industry perspective, this approach introduces an important segmentation basis—technographic segmentation—to tap into the wired generation. Future research may extend this study and apply a nonprobabilistic neural network to eliminate the existence of errors in cluster analysis.
Association of Histones With Coagulofibrinolytic Responses and Organ Dysfunction in Adult Post-cardiac Arrest Syndrome

Background Patients successfully resuscitated from cardiac arrest often develop organ dysfunction caused by systemic inflammation and increased coagulation, leading to disseminated intravascular coagulation (DIC). The involvement of histones in DIC and organ dysfunction in patients with sepsis and trauma has been previously reported, raising the probability that histones may also be associated with pathophysiology in patients after cardiac arrest and resuscitation. This study evaluated the relationship between histones and organ dysfunction related to coagulofibrinolytic changes in patients with post-cardiac arrest syndrome (PCAS). Methods This prospective single-center observational study assessed 35 adult patients with PCAS who were divided into two groups, i.e., 15 patients with multiple organ dysfunction syndrome (MODS) and 20 patients without MODS. MODS was defined as a sequential organ failure assessment score of ≥12. The plasma levels of histones and coagulofibrinolytic markers, including soluble fibrin, tissue-type plasminogen activator, plasminogen activator inhibitor-1, plasmin-alpha 2-plasmin inhibitor complex (PIC), and soluble thrombomodulin, were measured in patients with PCAS immediately after admission to the emergency department, and 3 and 24 h after arriving at the hospital. Results PCAS patients with MODS had higher DIC scores [4 (3.0–5.0) vs. 1 (0.0–3.0), p = 0.012] and higher mortality rates (66.7% vs. 20.0%, p = 0.013) than those without MODS. Moreover, patients with MODS exhibited higher histone levels than those without MODS during the early phase of the post-resuscitation period. Severe endothelial injury and higher thrombin and plasmin generation were observed in the MODS group. Plasma levels of histones were positively correlated with those of soluble fibrin immediately after resuscitation (rho = 0.367, p = 0.030) and PIC 3 h after arriving at the hospital (rho = 0.480, p = 0.005). This correlation was prominent in the patient population with MODS (soluble fibrin: rho = 0.681, p = 0.005, PIC: rho = 0.742, p = 0.002). Conclusions This study demonstrated that elevated histone levels were associated with increased levels of thrombin, and subsequent plasmin generation in PCAS patients, especially those with MODS. Further studies are required to elucidate the causal relationship between histones and organ dysfunction related to DIC in PCAS.
Selenoprotein K Is Essential for the Migration and Phagocytosis of Immature Dendritic Cells

Selenoprotein K (SELENOK) is an endoplasmic reticulum stress (ERS)-regulated protein required for the calcium (Ca2+) flux-mediated migration of T cells and neutrophils, and the migration and phagocytosis of macrophages and microglia. However, the effect of SELENOK on the regulation of the immune function of dendritic cells (DCs), including immature DCs (imDCs) and mature DCs (mDCs), is still unclear. In this study, imDCs prepared from SELENOK knockout mice were used to evaluate the effect of SELENOK on the migration and phagocytosis of imDCs. The results showed that ERS-induced downregulation of imDCs phenotypic markers led to a reduction in Ras homolog gene family member A (RhoA)-dependent migration and enhanced Ca2+/CD205-mediated phagocytosis. SELENOK deficiency-induced upregulation of selenoprotein S (SELENOS) attenuated ERS levels in imDCs. An increase in Ca2+ levels resulted in increased migration and decreased phagocytosis with or without ERS conditions. The migration was RhoA-dependent, and Ca2+ or CD205 was associated with regulating phagocytosis in imDCs. Our study found that SELENOK is required for imDC migration and phagocytosis.
Production of Polimedia by University Professors and Degree of Acceptance in the Dominican Republic

The use of video in distance education contexts and in virtual training is essential. This study presents the results of an experience with 114 university professors from two universities in the Dominican Republic who carried out training activities on the pedagogical bases of the Polimedia systems. The degree of acceptance of the Polimedia system was measured through an adaptation of the Technology Acceptance Model (TAM) developed by Davis in 1989, and the significance of different sociodemographic variables in the model was analyzed. The results demonstrate the high degree of teacher acceptance of the Polimedia system and its relationship with variables such as experience with ICT, as well as the robustness of the TAM. This strengthens the need to establish training plans that focus less on technological aspects and more on the pedagogical dimension.
Methods for Determination of Individual PEEP for Intraoperative Mechanical Ventilation Using a Decremental PEEP Trial

(1) Background: Individual PEEP settings (PEEPIND) may improve intraoperative oxygenation and optimize lung mechanics. However, there is uncertainty concerning the optimal procedure to determine PEEPIND. In this secondary analysis of a randomized controlled clinical trial, we compared different methods for PEEPIND determination. (2) Methods: Offline analysis of decremental PEEP trials was performed and PEEPIND was retrospectively determined according to five different methods (EIT-based: RVDI method, Global Inhomogeneity Index [GI], distribution of tidal ventilation [EIT VT]; global dynamic and quasi-static compliance). (3) Results: In the 45 obese and non-obese patients included, PEEPIND using the RVDI method (PEEPRVD) was 16.3 ± 4.5 cm H2O. Determination of PEEPIND using the GI and EIT VT resulted in a mean difference of −2.4 cm H2O (95%CI: −1.2;−3.6 cm H2O, p = 0.01) and −2.3 cm H2O (95% CI: −0.9;3.7 cm H2O, p = 0.01) to PEEPRVD, respectively. PEEPIND selection according to quasi-static compliance showed the highest agreement with PEEPRVD (p = 0.67), with deviations > 4 cm H2O in 3/42 patients. PEEPRVD and PEEPIND according to dynamic compliance also showed a high level of agreement, with deviations > 4 cm H2O in 5/42 patients (p = 0.57). (4) Conclusions: High agreement of PEEPIND determined by the RVDI method and compliance-based methods suggests that, for routine clinical practice, PEEP selection based on best quasi-static or dynamic compliance is favorable.
Signal dependent interpixel capacitance in hybridized arrays: simulation, characterization, and correction

Interpixel capacitance (IPC) is the mechanism for a type of deterministic electrostatic coupling between neighboring pixels in hybridized detector arrays. Indium bumps are used to connect the photo-diode detection layer to the read-out circuitry. These indium bumps act as wires, transmitting voltages and currents between the detector layer and the read-out layer. When placed in close proximity, the voltages of these pixels capacitively couple to each other. The result is that when the voltage on one pixel changes, the voltage on that pixel’s neighbors change as well. IPC coupling results in a blur where a fraction, called the coupling coefficient, of the signal that was generated and collected in a given pixel, appears instead as signal on the neighboring pixels. Semi-conductor and electrostatic physics simulations have been conducted which show that the IPC is expected to change depending on the relative voltages of nearby pixels. The coupling coefficient is a function of signal strength, decreasing as signal strength increases. Characterization of IPC coupling using isolated single pixel events such as hot pixels in dark frames and single pixel resets shows this same signal dependence. The signal dependence of IPC introduces a new wrinkle in using hybridized arrays for scientific imaging. Previous work has anticipated that IPC results in a blurring of signal that can result in decreased contrast, but a signal dependence can result in additional effects on astronomical data. For example, when using pointspread function (PSF) fitting techniques on crowded fields to do astrometry and photometry, the PSF distortions due to IPC can result in an underestimate for the flux of brighter sources and an overestimate for the weaker sources. For an IPC coupling coefficient on the order of 1% with a signal dependence on the order of 0.4% , the full-width-half-max (FWHM) for a source near the sensitivity limit can be as much as 1% wider than the FWHM of a source near saturation. This results in flux estimations being off on the order of 1%. PSF distortion systematically drives down measurements of separation between sources. This error in separation drops to zero for well isolated sources, but when the PSFs are confused, it can result in an underestimate of separation on the order of 1%. To correct these errors, a method to remove a signal dependent IPC using an iterative method of successive approximations has been developed.
An Energy-Based Control Architecture for Shared Autonomy

In robotic applications where the autonomy is shared between the human and the robot, the autonomous behavior of the robotic system is determined considering mainly the task to be executed and the data collected from the environment using, e.g., formal methods and machine learning techniques. Nevertheless, it is important to correctly translate high-level decision into low-level control inputs in order to avoid an unstable behavior due to a naive implementation of the autonomy. In this article, we propose an energy-based architecture for shared autonomy that allows to reproduce as closely as possible the desired behavior, while ensuring a robust stability of the robotic system. The proposed architecture is experimentally validated in two application scenarios: shared control of a multirobot system and variable admittance control in human robot collaboration
Characterization of Platelet Function-Related Gene Predicting Survival and Immunotherapy Efficacy in Gastric Cancer

Immunotherapy is widely used to treat various cancers, but patients with gastric cancer (GC), which has a high mortality rate, benefit relatively less from this therapy. Platelets are closely related to GC progression and metastasis. This study aimed to find novel potential biomarkers related to platelet function to predict GC and immunotherapy efficacy. First, based on platelet activation, signaling, and aggregation (abbreviation: function)-related genes (PFRGs), we used the least absolute shrinkage and selection operator (Lasso) regression method to construct a platelet-function-related genes prognostic score (PFRGPS). PRFGPS was verified in three independent external datasets (GSE26901, GSE15459, and GSE84437) for its robustness and strong prediction performance. Our results demonstrate that PRFGPS is an independent prognostic indicator for predicting overall survival in patients with GC. In addition, prognosis, potential pathogenesis mechanisms, and the response to immunotherapy were defined via gene set enrichment analysis, tumor mutational burden, tumor microenvironment, tumor immune dysfunction and exclusion (TIDE), microsatellite instability, and immune checkpoint inhibitors. We found that the high-PRFGPS subgroup had a cancer-friendly immune microenvironment, a high TIDE score, a low tumor mutational burden, and relatively low microsatellite instability. In the immunophenoscore model, the therapeutic effect on anti-PD-1 and anti-CTLA-4 in the high-PRFGPS subgroup was relatively low. In conclusion, PRFGPS could be used as a reference index for GC prognosis to develop more successful immunotherapy strategies.
Using Art to Undermine Epistemic Injustice in DBT Research

Through participatory Arts-Based Research, constructed within the theoretical basis of the Activity System, participants engaged with Dialectical Behavior Therapy (DBT) program content to develop a cohesive and meaningful project structure and aesthetic. Practitioner/researcher supremacy is disrupted by participatory Arts-Based Research and upheld by temporal constraints, as demonstrated by participant engagement and disruptions to participant collaboration. This research pilots a replicable framework that centers the experiences of individuals completing DBT, interrupts cycles of harm, and uplifts social knowledge construction that emanates from DBT skills training communities. DBT is a skills-based psychotherapeutic approach that prepares individuals to address problems in living that result from the development of mental disorders in environments that persistently signal that an individual is an unreliable informant of their own experience. In its standard format, DBT incorporates a group skills training component to remediate skill deficits developed in this invalidating environment. The body of literature that explores DBT skills training is structured in a way that elevates practitioner/researcher perceptions of individual progress over participants’ interpretations of their own collective experiences. Arts-Based Research is a theoretically-backed methodology that can disrupt the harmful parallels between the development of the disorders DBT is intended to treat and the dominant research paradigm into DBT.
Conflicts in Physical Education Classes - A Systems Theoretical Analysis of the Teacher’s Perspective

This article presents the results of a systems theoretical analysis of conflicts in physical education classes from the teacher’s perspective. Building on the state of current research, a theoretical model to analyse the development and management of sport related conflicts in the school setting is elaborated. This model is used to examine written assignments collected at university seminars on conflicts in a German sport institute. At these seminars, sport science students submitted 40 detailed descriptions of conflicts in physical education classes, which were either collected through an interview or experienced directly in their role as teachers. The empirical material is analysed using qualitative content analysis. Based on a fictive case that is developed for exemplification purposes, all collected cases are considered against the background of the developed model. It differentiates between trivial, stable, slightly, and highly escalated conflicts and examines suitable management strategies. The study concludes that trivial conflicts are common in physical education classes, that teachers use different strategies to manage them, and that this issue is dealt with differently at the organisational level. This preliminary model can be improved through further empirical research that compares different school forms and levels of education at the national and international level.
A Deep Coordination Graph Convolution Reinforcement Learning for Multi-Intelligent Vehicle Driving Policy

With the growing up of Internet of Things technology, the application of Internet of Things has been popularized in the field of intelligent vehicles. Therefore, more artificial intelligence algorithms, especially DRL methods, are more widely used in autonomous driving. A large number of deep reinforcement learning (RL) technologies are continuously applied to the behavior planning module of single-vehicle autonomous driving in early. However, autonomous driving is an environment where multi-intelligent vehicles coexist, interact with each other, and dynamically change. In this environment, multiagent RL technology is one of the most promising technologies for solving the coordination behavior planning problem of multivehicles. However, the research related to this topic is rare. This paper introduces a dynamic coordination graph (CG) convolution technology for the cooperative learning of multi-intelligent vehicles. This method dynamically constructs a CG model among multiple vehicles, effectively reducing the impact of unrelated intelligent vehicles and simplifying the learning process. The relationship between intelligent vehicles is refined using the attention mechanism, and the graph convolution RL technology is used to simulate the message-passing aggregation algorithm to maximize the local utility and obtain the maximum joint utility to guide coordination learning. Driving samples are used as training data, and the model guided by reward shaping is combined with the model of the free graph convolution RL method, which enables our proposed method to achieve high gradualness and improve its learning efficiency. In addition, as the graph convolutional RL algorithm shares parameters between agents, it can easily build scales that are suitable for large-scale multiagent systems, such as traffic environments. Finally, the proposed algorithm is tested and verified for the multivehicle cooperative lane-changing problem in the simulation environment of autonomous driving. Experimental results show that our proposed method has better value function representation in that it can learn better coordination driving policies than traditional dynamic coordination algorithms.
Implementation of an analytical formulation for LEMP to assess the lightning performance of a distribution line

This paper presents the implementation of an analytical formulation to calculate the lightning electromagnetic pulse (LEMP) assuming a current wave-shape linearly rising with flat top and a transmission Line (TL) return-stroke model. It also describes the development of the expressions for the image dipoles required to calculate the vertical electric field, the azimuthal magnetic field and, specially, the horizontal electric field. The expressions to calculate the contribution of source dipoles were detailed in a previous publication by other authors. The complete formulation is used to calculate electromagnetic fields and lightning-induced voltages on a typical overhead distribution line. The results were compared with traditional formulas to calculate the LEMP (such as Rubinstein’s) and to calculate induced voltages (such as Rusck’s) showing errors below 1%. If a more complex wave shape was used (such as Heidler’s), errors below 5% were found. Additionally, the formula was employed to calculate the flashover rate of a distribution line above a ground with infinite and finite conductivity. Errors less than 5% were found compared to the results obtained in the IEEE 1410 Standard. On the other hand, the computation time required to the assessment of an overhead line indirect lightning performance is reduced by half when the analytical formula is used.