Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep neurophenomenology: An active inference account of some features of conscious experience and of their disturbance in major depressive disorder

This paper aims to leverage the free-energy principle and active inference to make sense of some central facets of the first-person conscious experience of human beings. More precisely, we explore two central facets of the first-person conscious experience of human beings via the free-energy principle and active inference. We examine how active inference is able to account for temporal nestedness of conscious experience and for the concern or care that is the main structure of first-person experience according to phenomenological philosophy. We investigate the breakdown of these features in depression—and explain some of the core aspects of the phenomenology of depression by appealing to the active inference framework.
Drone Elevation Angle Classification Based on Convolutional Neural Network With Micro-Doppler of Multipolarization

Multipolarizations of micro-Doppler signature (MDS) were combined to classify the elevation angle of a drone by a convolutional neural network (CNN). We classified the drone’s elevation angle based on the MDS, which depends on the elevation angle of the drone. To enhance the classification accuracy, we utilized micro-Doppler from multiple polarized radar signals. We utilized and analyzed four different polarizations for the receiver, namely, vertical/horizontal/right-handed circular polarization (RHCP)/left-handed circular polarization (LHCP), while the polarization for the transmitter was vertical. The four receivers with different polarizations were fully synchronized with Tx for accurate MDS measurement for each polarization. The radar data received from the multiple polarizations were combined for the classification algorithm based on CNN. The classification rate of the elevation angles of a drone was improved from 84.745% to 97.9% compared to a single polarization by using multiple polarizations.
Building Scalable and Flexible Cluster Managers Using Declarative Programming

Cluster managers like Kubernetes and OpenStack are notoriously hard to develop, given that they routinely grapple with hard combinatorial optimization problems like load balancing, placement, scheduling, and conﬁguration. Today, cluster manager developers tackle these problems by developing system-speciﬁc best effort heuristics, which achieve scalability by signiﬁcantly sacriﬁcing the cluster manager’s decision quality, feature set, and extensibility over time. This is proving untenable, as solutions for cluster management problems are routinely developed from scratch in the industry to solve largely similar problems across different settings. We propose DCM, a radically different architecture where developers specify the cluster manager’s behavior declaratively, using SQL queries over cluster state stored in a relational database. From the SQL speciﬁcation, the DCM compiler synthesizes a program that, at runtime, can be invoked to compute policy-compliant cluster management decisions given the latest cluster state. Under the covers, the generated program efﬁciently encodes the cluster state as an optimization problem that can be solved using off-the-shelf solvers, freeing developers from having to design ad-hoc heuristics. We show that DCM signiﬁcantly lowers the barrier to building scalable and extensible cluster managers. We validate our claim by powering three production-grade systems with it: a Kubernetes scheduler, a virtual machine management solu-tion, and a distributed transactional datastore.
The Design Process in the Improvement of The Experience Between a Brand and its Target Audience Through a Digital Product: The Lexus Portugal’s used Car Website Case Study

Article history: Received: 24 July, 2020 Accepted: 21 September, 2020 Online: 05 October, 2020 The study aims to demonstrate how the use of the design process can align a brand's strategy with the interests of its target audience through a digital product based on a case study. Currently, Lexus internal studies show that there is a possibility to meet the needs of new audiences, beyond the traditional ones (men, 50+). In order to achieve this goal, the following objectives have been defined: communicate the brand and its cars’ main values and philosophy, namely ecology, economy, safety and comfort; promote its services and products; and design an interface that guarantees users easy, pleasant and attractive navigation. The work process consisted of identifying the brand’s strategy and values, identifying users, analyzing the main competing brands in the market, and designing a prototype within the framework of User-Centered Design, for which it had to address crucial issues such as the application of character models, UX and UI design, the creation of wireframes and user flows, interface design and the development of usability tests. The results demonstrate that it is possible to align the strategic interests of brands with the needs, objectives and expectations of users in a context of increasing global concerns of citizens related to reuse and sustainability. In this sense, it is vitally important that brands adopt Design processes in order to converge their own brand interests with people's demands.
Relação entre inteligência e criatividade: contributos de um estudo português

The main goal of this paper is to contribute to a deeper knowledge about the association between intelligence and creativity. In this study participated 108 students (54 males and 54 females) from a public Portuguese school, aged between 12 and 17 years. Students were from the 7th, 8th and 9th grades, with 83 attending regular classes and 25 attending
Improvement of the interfacial contact between zinc oxide and a mixed cation perovskite using carbon nanotubes for ambient-air-processed perovskite solar cells

The increasing consideration toward thin-film organic–inorganic halide perovskite solar cells (PSCs) is because of their high-power conversion efficiency that arises from several advantages of perovskite materials, including solution processability and low fabrication cost. However, we have not been able to maximize these advantages in the existing halide perovskite (PVK) solar cell technology as a consequence of structural and material limitations. Herein, we have developed a solution to these drawbacks by substituting the conventional metal–oxide photoelectrodes with materials doped with carbon nanotubes (CNTs). The mixed cation PSCs fabricated in ambient air were unstable with the PVK on top of zinc oxide (ZnO) due to the presence of hydroxyl groups on the ZnO surface. To suppress the hydroxyl groups, we incorporated CNTs in the ZnO film. On adding CNTs, the ZnO film showed more significant charge extraction, with the recombination rate in the PSC reducing due to higher conductivity and lower trap states in CNT-doped ZnO. Our results demonstrate that the optimized PSC based on the CNT additive showed PCE up to 15%. With this surface modification approach, we could show hysteresis-free and stable PSCs, with lesser decomposition after ∼2000 h of storage in a moist ambience. This work presents novelty in the material, cost, and assembly of stable and effective perovskite solar cells.
Effect of back massage on fatigue and quality of life among patients with heart failure

Background: Heart failure is a life-threatening condition with a broad-ranging impact, affecting almost every important aspect of patients’ lives. Fatigue has been reported as the most common and distressing symptom associated with heart failure. Also, quality of life in heart failure may be impaired by physical symptoms, psychological problems, adverse treatment effects and social limitations. Massage therapy is widely used to treat patients with different conditions. It has been proven that back massage has a positive effect on improving sleep duration that reduce the physiologic burden on the cardiovascular system, and improving fatigue. Despite the evident that massage therapy has a beneficial effect on fatigue in various populations; however, there is no previous studies examined the effect of massage on fatigue in heart failure patients. Aim of the study: To examine the effect of back massage on fatigue and quality of life in patients with heart failure. Setting: The study was carried out at the coronary care unit at Menoufia University Hospital. Sample: A convenient sample of 84 patients with heart failure was recruited to participate in the study. Design: A quasi experiment design (study/control) was utilized. Tools: A Semi Structured Demographic Questionnaire; Piper Fatigue Scale; New York Heart Association Classification of Heart Failure and Minnesota Living with Heart Failure Questionnaire were used to collect data. Results: There was a highly statistically significant decrease in the total mean score of fatigue and improve quality of life, P< . 001. Conclusion: Back massage is a simple, non-invasive technique has a beneficial effect on reducing fatigue and improving quality of life in heart failure patients. Recommendation: Massage therapy can be used as a routine practice by nurses in the coronary care units to reduce fatigue and improve quality of life in patients with heart failure.
Rainwater for Water Scarcity Management: An Experience of Woldia University (Ethiopia)

Purpose: Town of Woldia, a semi-arid region in the Northern Wollo region of Ethiopia, faces water supply shortage in general, though the town possesses a running stream of clean water throughout the year. This study is aimed at analyzing the possibility of using rainwater for water scarcity and non-potable water needs of the Woldia University. A careful study and analysis have been made to assess the feasibility of using rainwater in place of the tap water supply. Research design and methodology: This study was done inside the main campus of Woldia University located in Woldia town. The runoff water from the roof of buildings was studied, by the time of rainfall in the town. Also, the budget needed for implementing a rainwater harvesting system was calculated. Results: The findings of the study clearly indicates that the requirements of the water to use for flushing, cleaning, and washing toilets in the administrative buildings and classrooms can be satisfied by using rainwater as an alternative to tap water. Conclusion: Based on the results the study finds it is benefitable for the Woldia University to install the rainwater harvesting system at the earliest to solve the water problems prevailing in the current situation.
An Impedance Matching Strategy for Micro-Scale RF Energy Harvesting Systems

Radio frequency (RF) energy harvesting is widely adopted as an alternative source of energy to power a wireless sensor node or an Internet of Things (IoT) node. In order to extract maximum power from an RF energy source, variations in an RF to DC converter (RDC) input impedance with input power should be taken into account. This brief demonstrates that a tunable impedance matching strategy is essential to track the changes in input impedance to ensure maximum power transfer across the desired input power levels. A two-state tunable matching network is proposed to track variations in input impedance with the input power of an RDC with a load of 10 <inline-formula> <tex-math notation="LaTeX">$\text{k}\Omega $ </tex-math></inline-formula>, and at an operating frequency of 953 MHz. The proposed impedance matching network and the RDC are designed using 0.18-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS technology node. Circuit simulations demonstrate that the proposed matching strategy extends the input power range over which maximum power transfer occurs by 5 dBm and 13 dBm in comparison to a fixed matching network designed at −24 and −18 dBm, respectively.
The Effect of Domestic Currency Devaluation on Trade Balance in Ethiopia

The prime objective of the study was to investigate the effect of domestic currency devaluation on trade balance in Ethiopian over the period 1974-2016. To address the objective, ARDL and Error Correction Model were applied. The ARDL bound test result shown that There is a long run relationship between real effective exchange rate, real domestic income and lending interest rate . Specifically, real effective exchange rate, real domestic income and lending interest rate have a significant and positive effect on trade balance; whereas money supply and government expenditure deteriorated trade balance while deposit interest rate was insignificant in the long run. This clearly shows that both elasticity and absorption approaches improved the trade balance but monetary measures have deteriorated it. Hence; the government should take follow contractionary monetary policy and absorption approach through productivity improvement, diversification of export sectors and expansion of import computing industries to overcome trade deficit. Keywords: Ethiopia, Trade Balance, Currency Devaluation, ARDL Bound test. DOI : 10.7176/RJFA/11-1-03 Publication date: January 31 st 2020
High orbital angular momentum states in H2 and D2

A characteristic group of lines observed in the infrared emission spectrum of H2 has been identified as representing the transitions between the 5g and the 4f group of levels. Because of nearly complete uncoupling of l from the molecular axis the appearance of this group of lines is very different from a normal band spectrum. An analysis was possible on the basis of ab initio computations of the spectrum using the knowledge of the vibrational levels, quadrupole moment, and the polarizability of the H+2 core. The validity of the assignments was further corroborated by agreement of the predicted spectra of D2 with the observed spectra. In addition, similar transitions corresponding to 4f–3d have been observed.
Surface studies of polymer blends. 2. An ESCA and IR study of poly(methyl methacrylate)/poly(vinyl chloride) homopolymer blends

Etude de films prepares par coulee de solutions de melange dans le TMF et la methyl ethyl cetone; la surface des films prepares avec le TMF est enrichie en PMMA quelle que soit la composition du melange, alors que la composition de surface des films prepares avec la MEK est identique a la composition globale des melanges
Resource Allocation Scheme in Multi-Antenna Systems With Hybrid Energy Supply

In this letter, we study the resource allocation problem in a multiuser multi-antenna system, in which the energy supply of the transmitter consists of the grid energy and harvested energy. Our objective is to maximize the long-term sum throughput under the constraint of energy supply by optimizing beamforming vectors and energy allocation. Considering the challenges of imperfect channel state information (CSI) and large action/state spaces, we propose a dimension reduction deep reinforcement learning (RL) method to solve the optimization problem. In the proposed algorithm, the beamforming vectors are first determined based on imperfect CSI, and then policy-based RL is employed to find the optimal mapping between transmit powers and the low dimensional system state. Simulation results demonstrate the superiority of the proposed algorithm over traditional ones in terms of steady-state performance and learning speed.
Nonprehensile Manipulation:A Trajectory-Planning Perspective

This article discusses nonprehensile manipulation of an asymmetric object using a robotic manipulator from a motion planning point of view. Four different aspects of the problem will be analyzed:object stability, motion planning, manipulator control, and experimental validation. Specifically, via an analysis of marginal stability of an object resting on a moving tray, the work establishes the critical accelerations of the manipulator's end-effector, below which the object's stability is guaranteed. These critical accelerations guide the design of the end-effector's motion for successful nonprehensile manipulation of the object. In particular, we propose two methods to formulate polynomial asymmetric s-curve trajectories such that the end-effector completes its motion in minimum time. In one method, the trajectory is divided into segments whose time intervals are then computed via a recursive algorithm. In the other method, we formulate an optimization problem and design the minimum-time trajectory by balancing the tradeoff between the travel time and actuator effort. A series of experiments with a robotic arm is designed to validate and compare these motion planning methods in the context of nonprehensile manipulation. In addition, the experimental results demonstrate the advantages of the asymmetric s-curve motion profiles over the traditional symmetric s-curves.
Holographic Near-Field Microwave Imaging With Antenna Arrays in a Cylindrical Setup

Holographic microwave imaging is fast and robust and it has been adapted for near-field applications such as biomedical imaging and nondestructive testing. While the imaging technique is fast, synthesizing a 2-D aperture by mechanical scanning of the antennas takes time. Here, antenna arrays are used to expedite data acquisition along the azimuthal direction in a cylindrical holographic near-field microwave imaging setup. To deal with the limited and nonuniform samples along the azimuthal direction, three holographic imaging approaches are evaluated, in which, we use interpolation, uniform or nonuniform discrete Fourier transform (DFT), standardized low-resolution brain electromagnetic tomography (sLORETA), and exact low-resolution brain electromagnetic tomography (eLORETA). Besides, to make the system low-cost and portable, off-the-shelf components are used to construct a data acquisition system replacing the vector network analyzers. Simulation and experimental studies are conducted to validate the performance of the proposed imaging system. Structural similarity (SSIM) index is used to assess the quality of the reconstructed images.
Psychological effect of COVID-19 pandemic on university students in Turkey

Aim: The COVID-19 pandemic that started in China in December 2019 is spreading rapidly in Turkey and other parts of the world The pandemic has not only brought the risk of death from infection, but also brought an irresistible psychological pressure Especially, this pressure has increased due to the lockdown applied in the country In this study, we aimed to reveal the effects of the COVID-19 pandemic in Turkey on the anxiety levels of university students Materials and Methods: This study was carried out in Turkey with a total of 1704 students studying in different cities and at different higher education institutions "Personal Information Form" and "Generalized Anxiety Disorder Scale" consisting of 7 items were used as the data collection tools SPSS for Windows 24 program was used for the analyses of study data T-test statistics, One-way analysis of variance, Pearson correlation, and Ordinal Logit Regression Analysis test statistics were used for the comparison of data Results: The Cronbach's alpha value for the total score of the GAD scale was found to be 0 90 Concerning the effect of stress factors of the students on the GAD levels, the results of the study revealed that there was a statistically significant difference between the GAD levels and age, gender, educational level, type of family income, the positivity of COVID-19 in the family, individual, and vicinity, family economy, educational background, daily life routines, negative effects on the social life, and access to a protective mask (p<0 05;p<0 001) Discussion: This study highlights the potential effect of the COVID-19 pandemic on the mental health of the students, and when the results obtained are evaluated, it was seen that this pandemic had a high effect on the mental health of the students As a result, it is recommended to monitor the mental health of university students during pandemics
Automated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software

Article history: Received: 28 August, 2020 Accepted: 08 October, 2020 Online: 08 November, 2020 3D city modeling may be considered as one of the key applications, that are provided by the Automated Feature Extraction (AFE) techniques from LiDAR data. The authors attempt to prove that with growing availability of LiDAR surveying methods the resulted 3D city models become the most significant modeled features for any urban environment. Our paper represents the conceptual multifunctional approach within the AFE frameworks, that has been introduced through consequent steps of the phased methodological flowchart with its two branches: High Polyhedral Modeling (HPM) and the Low Polyhedral Modeling (LPM) of buildings. Both branches result in the heavyweight models, and in the lightweight ones, correspondingly. The research purpose of this paper is to outline our multifunctional approach (functionalities of Building Extraction, Building Extraction in Rural Areas, Change Detection, and Digital Elevation Model Generation) to the fully automated extraction of urban features, and present our original contributions to the relevant algorithmic solutions within both HPM, and LPM pipelines, as well as represent desktop, web-, and cloud-based software elaborated for these intentions. Original enhancements and optimizations of the adopted AFE-techniques have been bounded to the phases of the methodological flowchart, while some derivative results have been presented not only as the software description, but also in the discussion chapter. Joint implementation of various functionalities in a web-based application (the Server) is presented with several interface samples of research in urban block and district scopes, while a cloud-based application (the Geoportal) is an Internet-toolbox for solutions in the scope of a whole city.
Conformational Dynamics in a Methacrylate-Derived Radical: A Computational and EPR Study

Dynamic phenomena are established for the [D 3 ]methyl (2SR,3RS)-2-methyl-4,4,4-trichlorobutanoate-2-yl radical (1). This is revealed by EPR spectroscopy and quantum chemical calculations. The minimum conformations B and D of 1 possess planar radical centers and are sepearated by an energy barrier of 12.0 ± 1.8 kJ.mol -1 (experimental; calculated, 11.0 kJ.mol -1 ).
fluorescence probing of microdomains in aqueous solutions of polysoaps. II, Study of the size of the microdomains

The fluorescence decay results in solutions of poly(disodium maleate-co-decylvinylether) and poly(disodium maleate-co-hexadecyl vinyl ether) referred to as PS10 and PS16 show that the microdomains are somewhat polydisperse in size. In the case of PS10 the number of repeat units per microdomain decreases nearly linearly upon increasing the degree of neutralization of the maleic acid moieties and is nearly independent of the polysoap concentration and polymerization degree as well as of the ionic strength and temperature. For PS16, the number of repeat units per microdomain is independent of the polymerization degree but increases much with temperature
Dielectric-Loaded TM01–TE11 Mode Converters for Wideband Applications

In this letter, a new wideband dielectric-loaded TM01–TE11 mode converter is proposed. It is shown that a new hexagon metallic sheet (HMS) placed in the middle of a circular waveguide has a lower reflection of the TM01 mode compared to a rectangular metallic sheet. Using such HMS in the structure of dielectric-loaded TM01–TE11 mode converters can enhance the operational bandwidth significantly. Four cases of mode converters with/without the HMS are designed and evaluated. The results demonstrate a noticeable bandwidth enhancement for the structure with HMS. Using the proposed structure, an excellent operational bandwidth of 25.4% is achieved. The proposed mode converters were 3-D printed and the mode conversion was verified by measuring the far-field radiation patterns.