Miracle-dz/UniFAR-FTUs huggingface dataset:
CRIATIVIDADE E PROCESSO DE PROJETO – JOGO DE TABULEIRO COMO FERRAMENTA DE APOIO

This article presents the results of postdoctoral and junior researches which are currently in progress. Facing a scenario in which demands on architectural projects in social, legislative and technological terms have increased, complexifying the creative process, researching support tools that qualify the design process is an essential task for the current demands. Considering this, the objective of this article is to present the development of a new tool that collaborates with this process in the form of a board game, to support the school design. The methodology considers a qualitative approach, supported by theoretical research related to the themes of cognition; of project processes; and on the use of games and dynamics in creative processes. It is demonstrated, therefore, how the cognitive process was facilitated by the use of this tool, how it fomented productive discussions and facilitated the decision making. The results brought the first sketches of an architectural project that incorporated essential design concepts. Using this tool also demonstrated could increase the design school quality because it can focus the discussion in the essential concepts to a high performance school building.
Direct SIRPa Blockade Augments Macrophage Responses to Therapeutic Anticancer Antibodies

Antibody-dependent phagocytosis is a crucial mechanism underlying the efficacy of therapeutic antibodies for cancer. However, a major barrier to phagocytosis exists in the CD47-SIRPa interaction. CD47, a molecular “don’t eat me” signal, is highly expressed on many types of cancer and acts as a myeloid-specific immune checkpoint. By engaging SIRPa, an inhibitory receptor on macrophages, CD47 limits the ability of macrophages to respond to therapeutic antibodies. In this study, we developed anti-human SIRPa antibodies that block the interaction between CD47 and SIRPa. By themselves, these antibodies were not sufficient to induce human macrophage phagocytosis. However, when combined with a variety of tumor-specific antibodies, the anti-SIRPa antibodies exhibited remarkable synergy and augmented antibody-dependent phagocytosis of human cancer cells. Addition of anti-SIRPa antibodies improved phagocytosis of cancer in response to rituximab, cetuximab, and trastuzumab, among other therapeutic antibodies. Moreover, anti-SIRPa antibodies enhanced macrophage phagocytosis of lymphoma cells in response to anti-CD20 variants produced with each subclass of human IgG or glycoengineered anti-CD20 antibodies, indicating they could be effective for the majority of therapeutic antibodies that are clinically approved or under development. Importantly, both polarized macrophages and primary tumor-associated macrophages exhibited increased responses to therapeutic antibodies when SIRPa was blocked. In contrast to therapies targeting CD47 directly, anti-SIRPa antibodies benefit from more restricted expression of SIRPa and could have more favorable pharmacokinetic and toxicity profiles. They are an important addition to the growing arsenal of therapeutics targeting the CD47-SIRPa axis for cancer and could act as universal adjuvants to therapeutic antibodies. Disclosures Weiskopf:Stanford University: CD47/SIRPa blocking therapies Patents & Royalties. Ring:Stanford University: CD47/SIRPa blocking therapies Patents & Royalties. Guo:Stanford University: CD47/SIRPa blocking therapies Patents & Royalties. Volkmer:Stanford University: CD47/SIRPa blocking therapies Patents & Royalties. Weissman:Stanford University: CD47/SIRPa blocking therapies Patents & Royalties.
Implementation of Haar Cascade Classifier and Eye Aspect Ratio for Driver Drowsiness Detection Using Raspberry Pi

Driver’s drowsiness is one of the leading contributing factors to the increasing accidents statistics in Malaysia. Therefore, the design and development of driver drowsiness detection based on image processing using Raspberry Pi camera module sensor interfacing with Raspberry Pi 3 board are proposed in this paper. To achieve the aim of the research, the Haar Cascade Classifier algorithm is implemented for eyes and face detection whereas for eyes blink (open and close) detection, the Eye Aspect Ratio (EAR) algorithm is employed. From several experiments conducted on six recruited subjects, the findings revealed that the accuracy of Haar Cascade classifier to detect the eyes and faces was subjected to correct sitting position (head must facing to the camera) as well as the eyes must not be covered with glasses or shades. Meanwhile, the range of average EAR value detected by the system was between 0.141 (eyes closed) and 0.339 (eyes opened). In conclusion, the image processing-based Haar Cascade and EAR algorithms utilized on Raspberry Pi platform have been successfully executed. For future improvement, the current board can be replaced with Raspberry Pi Touch Screen to minimize the hardware setup and the physiological based analysis using alcohol and heart rate sensors can be added.
Significant Influence of Information Technology on the Use of Modern Accounting Software

The purposes of this research are to describe, analysis, and determine the level of effectiveness and efficiency through information technology on modern accounting software. In this case the researcher focuses on the use of accounting applications using the accurate software. This study used a method of description and interviews to direct informants, where the population taken in this study are S1 (bachelor degree) and SMK (vocational high school) Accounting students. The results of this study indicate that the use of Information Technology (IT) has a significant influence on the company. Modern accounting software that uses a computerized system helps manage financial statements from the stage of recording transactions, classification, summarizing and then preparing it in the form of financial statements needed by an accountant to notify those in need in the company. With the level of technological progress is so fast, pushing companies to use modern accounting software that is compatible in the network and multi-user to improve the effectiveness of company performance. Accurate accounting software with complete features and ease of operation is one solution to improve accuracy, functional improvement, and shorten the time spent preparing and presenting financial statements.
Communication-Less Primary and Secondary Control in Inverter-Interfaced AC Microgrid: An Overview

Inverters in microgrids (MGs) face significant challenges during their parallel operations, such as accurate power sharing, deviations in system voltage magnitude and frequency, and imbalance between generation and load demand. To solve these technoeconomic challenges, hierarchical control structures are implemented in MGs. The structure consists of three layers as primary, secondary, and tertiary controls. The control approach can be either communication-based or communication-less at the various layers. The use of communication at primary and secondary layers faces problems, such as communication latency, data drop-up, and expense issues. On the other hand, improved decentralized control techniques being communication-less can avoid the disadvantages of using communication. This article presents an insight into the limitations with the communication-based approach by briefing about the centralized and distributed control techniques at the secondary control layer. Subsequently, the communication-less control techniques and algorithms to achieve accurate power sharing along with the restoration of MG voltage and frequency are described. A comparison among different decentralized droop-based power sharing methods in the primary control layer is done based on review and simulations. In addition, improved communication-less secondary restoration techniques are explained. Finally, future research directions in these areas are listed, aiming to improve the reviewed techniques.
RFI Source Localization in Microwave Interferometric Radiometry: A Sparse Signal Reconstruction Perspective

The Microwave Interferometric Radiometer with Aperture Synthesis (MIRAS) is the payload of the Soil Moisture and Ocean Salinity (SMOS) satellite mission led by the European Space Agency. Although the MIRAS operates at the protected L-band, it is perturbed by radio frequency interferences (RFIs) that contaminate the acquired remote sensing data and further deteriorate the total performance of SMOS mission. Accurate location information of these sources is crucial for switching off illegal RFI emitters or mitigating RFI impacts from contaminated data. This article addresses the localization of SMOS RFI sources from a perspective of sparse signal reconstruction (SSR), which exploits the sparsity of RFI sources in the spatial domain. Such an SSR strategy possesses superior (at least comparable) performances over existing RFI localization methods [e.g., discrete Fourier transformation (DFT) inversion and subspace-based direction-of-arrival (DOA) estimation] using only SMOS measurements and even under situations in the presence of data missing due to correlator failures.
Basal media optimization for the micropropagation and callogenesis of Cannabis sativa L.

Micropropagation of Cannabis sativa L. is an emerging area in tissue culture for genetic storage and large-scale production of clean planting material. However, existing protocols have been developed using a limited number of genotypes and are often not reproducible. Previous studies reported MS + 0.5 μM TDZ to be optimal for Cannabis micropropagation, yet in our preliminary studies this medium resulted in excessive callus formation, hyperhydricity, low multiplication rates, and high mortality rates. Following an initial screen of five basal salt mixtures commonly used for micropropagation (WPM, MS, B5, BABI, and DKW), we determined that DKW produced the healthiest plants. In a second experiment, the multiplication rate and canopy area of explants grown on MS + 0.5 μM TDZ and DKW + 0.5 μM TDZ were compared using five drug-type cultivars to determine if the preference for DKW was genotype-dependent. Four out of five genotypes had significantly higher multiplication rates on DKW + 0.5 μM TDZ with the combined average being 1.5x higher than explants grown on MS + 0.5 μM TDZ. The canopy area was also significantly larger on DKW + 0.5 μM TDZ for four out of five genotypes with the combined average being twice as large as the explants grown on MS + 0.5 μM TDZ. In the third experiment, callogenesis was compared using a range of 2,4-D concentrations (0-30 μM) on both MS and DKW. Greater callus growth was observed on DKW than on MS. While further improvements are likely possible through media optimization, this study represents an important step towards developing standardized micropropagation practices for Cannabis.
Effect of Image Resolution on Remote Photoplethysmography: Towards Emotion Detection in Children with Autism Spectrum Disorder

Aiming to stimulate social abilities in children with Autism Spectrum Disorder was developed at UFES/Brazil a robot to interact with them. One of the functions that are being developed in that robot is emotion recognition using cardiac activity. Traditional heart rate measuring methods normally use contact sensors, often uncomfortable for autistic children. So, a method to measure it remotely and online is an important contribution to this field of research. This paper presents a method to remotely measure heart rate using a low-cost RGB camera. The effect of the different image resolutions in the final result is evaluated, aiming in a future online system, which needs a small computation time. The results indicate that the resolution does not have a relevant influence on measure’s precision, so, the resolution of the video can be reduced without a big effect on the error.
Are Going‐Concern Issues Disclosed in Audit Reports Associated with Subsequent Bankruptcy? Evidence from the United States

The Public Company Accounting Oversight Board (PCAOB) has expressed interest in the following issues related to going‐concern modified audit opinions (GCOs): auditor's communication of factors that led to the GCO, the role of liquidity versus other factors in GCOs, and the subsequent failures of clients with GCOs. We use a sample of 2,921 first‐time GCOs spanning the years 1999 to 2015 in the United States and find that profitability factors are cited in 81% of GCOs while liquidity issues are cited in 56% of GCOs. Overall, 16.8% of the first‐time GCO clients entered bankruptcy within one year. After controlling for the probability of bankruptcy, client size, and auditor type, for clients of Big N auditors, the disclosure of profitability factors in the GCO is associated with a higher likelihood of subsequent bankruptcy; in contrast, for clients of non–Big N auditors, disclosures of liquidity and solvency problems are associated with a higher likelihood of subsequent bankruptcy. Our findings provide an empirical grounding for the debates surrounding GCOs and provide useful information for standard‐setters and financial statement users.
Cashless in Online Transportation Applications for Services Business

The relationship between online transportation applications and cashless payment methods is mutualism. However, that does not mean everything is fine. The purpose of this study is to show that even small entrepreneurs can become entrepreneurs who follow technological developments. This research was conducted to describe the ease of business people in conducting services when transacting with customers using the Cashless payment method in the Online Transportation application. Also, this study reviews the problems that arise from other studies discussing the usefulness of online transportation applications that are increasingly advanced so that it can be used for Cashless payment methods. The research method used was qualitative, namely direct interviews with business people to obtain objective results and supplemented by review literature. The results of this study indicate that, with this online transportation application, it is easier for sellers to make transactions with customers.
The energy cost of feather replacement is not intrinsically inefficient

Feathers serve a diversity of functions in birds and their continuous use and exposure to the environment requires a scheduled moult to maintain their full functionality. As feathers represent about 25% of a bird’s protein content, moult is expected to impose substantial energy and nutrient demands, but perhaps not to the extent reported. Energy conversion efficiencies for feather formation are among the lowest for any biological structure examined, but this assumes that increases in maintenance energy requirements (minimum resting metabolic rate (RMRmin)) during moult are predominately due to feather synthetic costs. We tested this assumption by comparing the RMRminand protein turnover rates of House Sparrows (Passer domesticus (Linnaeus, 1758)) during peak moult and in a non-moulting cohort before and 12 days after having a similar amount of feathers plucked. Replacement of plucked feathers had no effect on metabolic rate, whereas RMRminwas 28% higher in moulting than in non-moulting House Sparrows. Protein turnover rates were lowest in non-moulting birds, but rate differences between non-moulting and moulting birds were threefold higher than those between non-moulting and plucked House Sparrows. Thus, the energy inefficiencies reported for feather replacement are mainly due to costs associated with coincident processes rather than being a direct cost of feather synthesis per se.
The creative accounting in determining the bankruptcy of Business Corporation

If there is a period of unfavourable to critical economic development Business Corporation, there is no doubt about the significance of determining the actual factual moment of bankruptcy of the business corporation. In such a situation, it is crucial for further development approach of the statutory body of Business Corporation in terms of truly evaluation and timely search for a constructive solution. There are different methods of creative accounting to delaying the impending corporation bankruptcy. This paper describes the individual ways in which the creative accounting can favour the business corporation, e.g. increase the reported earnings or reduce the reported loss, manipulate with indicators used in financial analysis, conceal financial risk or strengthen the company´s access to finance. The reason for using these practices by the company management can be just a simple delay in solving the situation, trying to keep the company position as long as possible or the reasons are more complex and sophisticated. There are many model to predict the adjusting financial statements. We described and applied two of them, the CFEBT model and BENEISH M-score model.
Accuracy of Soft Tissue Balancing in Robotic-Assisted Measured-Resection TKA Using a Robotic Distraction Tool

Achieving proper soft tissue balance during total knee arthroplasty (TKA) can reduce postoperative instability and stiffness as well as improve patient reported outcomes. The objective of this study was to compare final intra-operative coronal balance throughout the knee range of motion in navigated roboticassisted TKA when performed with quantifiable feedback from a robotic ligament tensioning tool versus with standard trials and navigation measurements alone. The study included a prospective cohort of 52 patients undergoing roboticassisted TKA using a measured resection technique. The cohort was divided into two sequential groups: a non-sensor-assisted group (n=25) and a subsequent sensor-assisted group (n=27). Once bony cuts and soft tissue balancing was performed in the non-sensor cohort, the final tibiofemoral gaps were measured throughout the knee range of motion using a robotic-assisted tensioner with the surgeon blinded to the measurements. For the sensor cohort, the surgeon preformed soft-tissue releases or re-cuts in order to balance the knee using the gap measurement data from the robotic tensioner. The robotic-assisted tensioner was then used to measure the final medial and lateral gap measurements. The average mediolateral gap difference throughout the range of flexion was 1.9 ± 0.7 mm with maximum difference of 7.8 mm for the non-sensor cohort. The sensor cohort had an average mediolateral difference of 1.5 ± 0.6 mm and a maximum difference of 3.8 mm. The difference between the two groups was statistically significant from 60 to 90 degrees of flexion. 38-41% of knees were balanced to within 1 mm mediolaterally in the non-sensor group compared to 4870% for the sensor group when measured at various flexion angles. 65-76% of knees were balanced to within 2 mm for the non-sensor group compared to 7886% for the sensor-assisted group. The number of knees requiring subsequent soft tissue releases was similar in each group. Soft tissue balancing with the aid Health Sciences EPiC Series in Health Sciences Volume 3, 2019, Pages 210–214 CAOS 2019. The 19th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery P. Meere and F. Rodriguez Y Baena (eds.), CAOS 2019 (EPiC Series in Health Sciences, vol. 3), pp. 210–214 of a robotic tensioning tool resulted in significantly more accurate soft tissue balance than when using navigation measurements and standard trials alone in this single surgeon study.
An Optimized Carrier-Based PWM Method and Voltage Balancing Control for Five-Level ANPC Converters

Five-level active neutral-point clamped (5L-ANPC) converter is an attractive topology, which is suitable for medium-voltage high-power conversions. Both phase-disposition pulsewidth modulation (PDPWM) and phase-shifted PWM (PSPWM) can be used to control this converter. PDPWM has the best harmonic characteristics, but the conduction and switching losses are not uniformly distributed. Although PSPWM has the natural voltage balance ability for flying-capacitor cells, its quality of line voltage is much worse than PDPWM. In order to combine the advantages of these two modulation methods, an optimized carrier-based PWM method for 5L-ANPC converters is proposed in this article, which features the same harmonic performance with PDPWM and the same control characteristics with PSPWM. An optimized neutral-point potential balance method is also proposed, which can make a tradeoff between the neutral-point potential balancing and the harmonic performance. Simulation and experimental results demonstrated the feasibility of this method.
Realistic Indoor Hybrid WiFi and OFDMA-Based LiFi Networks

The increasing number of mobile devices challenges the current radio frequency (RF) networks, e.g. wireless fidelity (WiFi) networks. Light Fidelity (LiFi) is considered as a promising complementary technology, which operates within the visible light spectrum and infrared spectrum. In an indoor scenario, a hybrid LiFi/WiFi network (HLWN) provides a potential solution to future wireless communications where LiFi augments WiFi in providing ultra-high speed and low latency wireless connectivity. In this paper, dynamic load balancing (LB) with handover in HLWNs is studied. The orientation-based random waypoint (ORWP) mobility model is considered to provide a more realistic framework to evaluate the performance of HLWNs. Based on the low-pass filtering effect of the LiFi channel, we firstly propose an orthogonal frequency division multiplexing access (OFDMA)-based resource allocation (RA) method in LiFi systems. Also, an enhanced evolutionary game theory (EGT)-based LB scheme with handover in HLWNs is proposed. In the EGT scheme, each user adapts their strategy to improve the payoff until LB is achieved across LiFi and WiFi. Then, the LiFi system uses the proposed OFDMA-based RA method while the WiFi system applies the carrier sense multiple access with collision detection (CSMA/CA). Simulation results show that in the LiFi system the OFDMA-based RA scheme outperforms the time division multiple access (TDMA) scheme in terms of both user data rate and fairness. Regarding LB in HLWNs, the proposed EGT scheme can achieve a remarkable enhancement in throughput compared to benchmark schemes, such as hard threshold (HT) scheme and random access point assignment (RAA) scheme.
Reflections on the Need for More Training in Neuroethics for Future Physicians: An Interdisciplinary Approach

The objective of this paper is twofold: to make known the importance of Neuroethics as a new area of knowledge and, on the other hand, to note that there is a gap between the research which experts are developing in this field and its application in the medical education. In order to achieve this double goal, we will focus on the linkage between educational experience and the comprehensive approach of human corporeality. We expect to attract the attention of the students in order to make them aware of this issue as well as to involve them in the improvement of their learning experiences.
Implementation of Robot System for Multi-user and Multi-robot Based on Cloud Platform

With the rapid development of the complexity and diversification of robot services, large number of data processing and analysis problems occurred during the robot working process. In this paper, we designed a collaborative system consisted multi-user and multi-robot based on cloud platform. By pre-setting the rights and restrictions owned by each user in different scenarios, the server determines the scene in which the robot is located by the picture taken by the robot, thereby giving each user different permissions. Enable the robot to listen to the user’s instructions to protect privacy. The integration of cloud technology and multi-robot systems made it possible to improve energy efficiency, real-time performance and reduce memory cost.