Miracle-dz/UniFAR-FTUs huggingface dataset:
Re-use of derelict industrial sites: Opportunities for regeneration of industrial heritage in Pancevo, Serbia

Subject of the paper is industrial heritage and its regeneration. Emphasis has been put on industrial objects that have lost their primary function and now have historical, social and architectural value. Condition and problems of industrial heritage were discussed through the example of Pancevo, one of the first and biggest industrial cities in Serbia. Aim was to examine the current policy and practice in redevelopment and investigate in which way and to what extent can good examples from the international practice be applied to Pancevo. Findings of the research are given through set of recommendations, discussed through four themes: 1) culture-led regeneration - development of cultural activities in former industrial buildings, 2) industrial heritage as a tool for improving the ecological image of the city, 3) industrial heritage as a potential for development of tourism, 4) heritage as a potential for economic development. Value of paper lies in drawing attention on significance of the industrial heritage and problem of its dereliction, and investigation of application of international models on Serbian situation. As one of the biggest industrial cities in the region, Pancevo can serve as a model not only for Serbia, but also for cities in other countries that are in similar situation.
Avaliação dos diferentes tipos de redes LSTM para predição de ações na bolsa de valores

Redes Neurais Profundas são modelos valiosos na tarefa de aprendizagem. Neste trabalho, propomos o uso do método multicamadas conhecido como Long Short-Term Memory. Aplicamos três modelos diferentes (LSTM Vanilla, Stacked e Convolucional) para a mesma série de ações. Essa escolha foi feita devido à lacuna na literatura ao comparar quais modelos LSTM podem ser usados na predição de séries temporais. Os resultados encontrados comprovaram-se uma alternativa ao que pretendemos mostrar, no sentido de um trabalho comparativo com os melhores modelos LSTM.
Fault-Tolerance of Functionally Adaptive and Robust Manipulator.

Robots are required to have the ability to adapt their function according to the tasks to be carried out in an unexpected environment, and to execute tasks even if a part of the system is malfunctions. Fault Tolerance is a significant factor of functional adaptability. In this paper, a fault tolerant control method with a proxy control strategy for a distributed manipulator is proposed. A Byzantine fault model is assumed in the method, where in the behavior of the faulty part cannot be predicted. The method focuses on malfunction of CPU (central processing unit) which is the controller of the manipulator. The method consists of procedures for fault detection, localization, containment, system reconfiguration and error recovery. The fault detection procedure is based on communication using shared memory. A voting algorithm for fault location is proposed. The fault tolerance control method is implemented in a distributed manipulator with modular architecture, called Fun-ARM (functionally adaptive and robust manipulator). A reaching motion experiment with a CPU pseudo fault is shown, and the proposed fault-tolerant control method is verified.
Reliable Designing of Stand-alone PV/FC Hybrid System

Application of renewable energy sources have shown perfect potential as a form of contribution to conventional power generation systems. This paper presents an hybrid system based on photovoltaic (PV) module and PEM (proton exchange membrane) fuel cell (FC) with the aim of selling electricity to distribution network (DN) and improve its reliability. In this paper proposed system, moreover supply the load electricity of system, capable to sale electricity to DN and by electricity injection causes DN reliability improvement. The revenue from selling electricity to DN is considered as the system profit (SP). An optimization to maximize the SP using GAMS environment is applied. This study claims that moreover load electricity provision, electricity can also be sold to DN by proposed hybrid system and by injection the electricity to that increased, its reliability in consumer load supplement.
Modeling of lower limbs for vibrotactile compensation

A rehabilitation device with a vibrotactile actuator is designed for analysis of slipping behaviour on different surfaces. However, the coupling between a subject's lower limbs and the device reduces the accuracy of the ground simulation. A real-time algorithm is developed, based on an FFT filter-bank and a rheological limb model, which compensates for lower limb effects on vibrotactile signals.
Shocks in agricultural productivity and CO2 emissions: new environmental challenges for China in the green economy

Abstract The primary motive behind this research is to see the role of China’s large agriculture sector in promoting or demoting CO2 emissions. Therefore, we applied linear and non-linear ARDL models by collecting data over the period 1971–2019 for China. The results of the linear model suggest that livestock production can help to reduce CO2 emissions both in the short and long run. In the non-linear model, the short-run estimates of livestock production are insignificant, however, in the long run, the positive shock in the livestock production helps to reduce the CO2 emissions and the negative shock is insignificant. On the other side, an increase in crop production deteriorates the environmental quality in the short run in both linear and non-linear models. In long run, the estimate of crop production in the linear model is insignificant and in the non-linear model, the estimated coefficients of both positive and negative shocks in crop production are negative implying that a positive shock reduces the CO2 emissions while the negative shock increases the CO2 emissions.
Exploring the Adsorption Properties of Zeolite in a New Skin Care Formulation

Introduction: Zeolites are natural or synthetic aluminosilicates, characterized by a regular and microporous crystalline structure that plays a particularly active role in neutralizing free radicals, screening UV rays and in the adsorption of toxins and heavy metals. Skin is one of the main areas for the accumulation of toxic substances released by environmental pollutants. The biological scavenger activity of zeolite opens a wide spectrum of applications in cosmetics and dermatology. Up to now, there is little evidence related to the use of natural zeolite in cosmetics. Aim: The purpose of this work was to evaluate the ability of zeolite to retain heavy metals in a new skin care formulation, in order to provide a proof of principle of its employment in the field of cosmetics. Materials and Methods: Taking the advantages of spiked samples, we studied the in vitro adsorption properties of zeolite in a new skin care formulation. The removal capacities of Cadmium, Lead, Chromium, Nickel and Cobalt were studied, using the inductively coupled plasma optical emission spectrometry (ICP-OES). First of all, the better concentration of zeolite was defined, testing two different proportions of zeolite, from 1% to 3%, keeping all other components constant. Then, on the 3% formulation, the adsorption properties of each single metal were measured. Results and Conclusions: Our preliminary study demonstrated the selectivity of zeolite in retaining Cadmium (p < 0.0001), Nickel (p = 0.026), in a 3% zeolite-based formulation. This work provides a proof of principle of zeolite employment in the field of cosmetics. Based on the data collected, our work provides a scientific proof of principle of zeolite employment in the field of cosmetics. New and extensive research will be needed to explore all the potential benefits of zeolite.
Correlation between Coronary Artery Calcium- and Different Cardiovascular Risk Score-Based Methods for the Estimation of Vascular Age in Caucasian Patients

Vascular age can be derived from cardiovascular (CV) risk scores such as the Framingham Risk Score (FRS) and the Systematic Coronary Risk Evaluation (SCORE). Recently, coronary artery calcium score (CACS) was proposed as a means of assessing arterial age. We aimed to compare these approaches for the assessment of vascular age. FRS-, SCORE-, and CACS-based vascular ages of 241 consecutive Caucasian patients undergoing coronary CT angiography were defined according to previously published methods. Vascular ages based on FRS, SCORE, and CACS were 68.0 (IQR: 55.0–82.0), 63.0 (IQR: 53.0–75.0), and 47.1 (IQR: 39.1–72.3) years, respectively, (p < 0.001). FRS- and SCORE-based biological age showed strong correlation [ICC: 0.91 (95%CI: 0.88–0.93)], while CACS-based vascular age moderately correlated with FRS- and SCORE-based vascular age [ICC: 0.66 (95%CI: 0.56–0.73) and ICC: 0.65 (95%CI: 0.56–0.73), respectively, both p < 0.001)]. Based on FRS, SCORE, and CACS, 83.4%, 93.8%, and 42.3% of the subjects had higher vascular age than their documented chronological age (FRS+, SCORE+, CACS+), and 53.2% of the FRS+ (107/201) and 57.1% of the SCORE+ (129/226) groups were classified as CACS-. Traditional risk equations demonstrate a tendency of overestimating vascular age in low- to intermediate-risk patients compared to CACS. Prospective studies are warranted to further evaluate the contribution of different vascular age calculations to CV preventive strategies.
Integrated access control monitoring system based on face video detection

In order to realize the integrated entrance guard detection in the scene of random flow of people.combined with face recognition algorithm, the design method of integrated entrance guard monitoring system is proposed based on face video detection. A face video feature detection model in the scene of random flow of people is established, block matching on the face video features in the scene of random flow of people is performed, a living feature analysis model of face video monitoring in the scene of random flow of people is established by adopting the method of block feature information fusion, the face feature recognition and information fusion is realized by adopting the method of biological directional recognition, and the statistical features and edge detail parameters of face video in the scene of random flow of people are extracted, Combined with the face anti-deception algorithm, the authenticity of the face in the process of integrated entrance guard monitoring is judged. On the basis of dynamic biometric detection, the feature recognition of facial expressions under different expressions such as nature, smile and mouth opening are realized, and the integrated entrance guard monitoring is realized according to the feature recognition results. In the embedded and cloud technology environment, the alarm controller of integrated access control is built to realize access control, information privacy protection, image recognition and information playback, and the system hardware design is realized. The simulation results show that the designed integrated entrance guard monitoring system has high detection and recognition ability of face features and good recognition accuracy.
Genome-wide identification and characterization of laccase family members in eggplant (Solanum melongena L.)

Laccase, as a copper-containing polyphenol oxidase, primarily functions in the process of lignin, anthocyanin biosynthesis, and various abiotic/biotic stresses. In this study, forty-eight laccase members were identified in the eggplant genome. Only forty-two laccase genes from eggplant (SmLACs) were anchored unevenly in 12 chromosomes, the other six SmLACs were mapped on unanchored scaffolds. Phylogenetic analysis indicated that only twenty-five SmLACs were divided into six different groups on the basis of groups reported in Arabidopsis. Gene structure analysis revealed that the number of exons ranged from one to 13. Motif analysis revealed that SmLACs included six conserved motifs. In aspects of gene duplication analysis, twenty-one SmLACs were collinear with LAC genes from Arabidopsis, tomato or rice. Cis-regulatory elements analysis indicated many SmLACs may be involved in eggplant morphogenesis, flavonoid biosynthesis, diverse stresses and growth/development processes. Expression analysis further confirmed that a few SmLACs may function in vegetative and reproductive organs at different developmental stages and also in response to one or multiple stresses. This study would help to further understand and enrich the physiological function of the SmLAC gene family in eggplant, and may provide high-quality genetic resources for eggplant genetics and breeding.
Lossless Path Switching Based on Multi-Controller

In order to solve the Intra-domain consistency problem in SDN domain, this paper proposes a new method to check the running state of new routes before deleting existing routes. The specific identification process is to send two identical forwarding flow tables to each OVS switch on the new path and the old path through multicast. After receiving the same data packet, the switch confirms that the old and new links of the current network can forward the data packet normally, and then disconnects the old link. Then, the new path is formally used. Finally, the remaining bandwidth and throughput of the new path are submitted to the controller, and the controller re plans the route.
NUIM: An Algorithm for Maximizing the Influence of Information Diffusion on Dynamic Social Networks

In recent years, the problem of maximizing influence has been an important topic in social network research, but existing methods usually ignore the subjective willingness of selected seed nodes and the uncertainty of the probability of propagation, which leads to deviations of marketing results from the plan. This paper proposes a dynamic social network information diffusion influence maximization algorithm NUIM. First, the historical data is used to estimate the probability that the selected seed node is willing to become a seed, and a new propagation probability function Φ is further designed to make the information propagation probability follow the distribution related to the network topology instead of a fixed value. Secondly, to enable the agent to learn the optimal seed node selection strategy, the cyclic learning rate is used to replace the artificially set initial value of the learning rate and the learning rate decay strategy in reinforcement learning. The experimental results show that on the power-law network data set, the influence rate obtained by NUIM can reach 16.43%, which is better than other algorithms with better performance.
Coaxial cell printing of a human glomerular model: an in vitro glomerular filtration barrier and its pathophysiology

Much effort has been expended in emulating the kidney’s glomerular unit because of its limitless potential in the field of drug screening and nephrotoxicity testing in clinics. Herein, we fabricate a functional bilayer glomerular microvessel-on-a-chip that recapitulates the specific arrangement of the glomerular endothelial cell, podocyte layers, and the intervening glomerular basement membrane (GBM) in a single step. Our perfusable chip allows for the co-culture of monolayer glomerular endothelium and podocyte epithelium, which display mature functional markers of glomerular cells, and their proper interactions produce GBM proteins, which are the major components of the GBM in vivo. Furthermore, we test the selective permeability capacity, a representative hallmark function of the glomerular filtration barrier. Lastly, we evaluate the response of our glomerular model to Adriamycin- and hyperglycemia-induced injury to evaluate its applicability for drug screening and glomerular disease modeling.
UNOBTRUSIVE SENSING OF PSYCHOPHYSIOLOGICAL PARAMETERS Some Examples of Non-Invasive Sensing Technologies

The quantification of the human perception of experiences can be achieved by the sensing of specific psychophysiological parameters. A growing interest develops for the daily life use of these quantification techniques by unobtrusive and unnoticeable data collection. Remote and non invasive sensing technolo- gies are discussed for the sensing of the following psychophysiological param- eters: heart rate variability, and muscle stress. A generic miniature platform for miniature wireless sensing applications is described as an important enabler for unobtrusive and unnoticeable sensing. The technology no longer seems to be a limiting factor for unobtrusive and unnoticeable sensing. Initially the sen- sors will be worn on the body, but ultimately implantable sensors will become widely accepted, allowing access to new parameters, such as hormone levels and body core temperature.
Internal control mechanism in mitigating fraud risk cases at account representatives at KPP Pratama X

The practice of fraud in the government sector has become a topic of discussion in the Indonesian media. The Directorate General of Taxes as one of the institutions that focuses on the anti-corruption movement has also become a news highlight with the arrest of one of the directors related to fraud. This study aims to identify the internal control mechanism at the KPP Pratama X in mitigating fraud risk. The process of identifying internal control mechanisms is carried out using the concept of Three Lines of Defense. The study was conducted at the position of Account Representative because the position has the potential for a greater risk of fraud compared to other positions at the KPP Pratama X. The research method used is a qualitative descriptive method, which uses the data obtained from reports at the KPP Pratama X and interviews which are then analyzed using qualitative methods. From the field data obtained, it is known that the KPP Pratama X is still not optimal in carrying out internal control mechanisms in mitigating fraud risk. The results of the study are expected to provide input in the development of internal control mechanisms so that fraud risk can be mitigated properly.
Bacterial Biofilms Utilize an Underlying Extracellular DNA Matrix Structure That Can Be Targeted for Biofilm Resolution

Bacterial biofilms contribute significantly to the antibiotic resistance, pathogenesis, chronicity and recurrence of bacterial infections. Critical to the stability and survival of extant biofilms is the extracellular DNA (eDNA)-dependent matrix which shields the resident bacteria from hostile environments, allows a sessile metabolic state, but also encourages productive interactions with biofilm-inclusive bacteria. Given the importance of the eDNA, approaches to this area of research have been to target not just the eDNA, but also the additional constituent structural components which appear to be widespread. Chief among these is a ubiquitous two-member family of bacterial nucleoid associated proteins (the DNABII proteins) responsible for providing structural integrity to the eDNA and thereby the biofilm. Moreover, this resultant novel eDNA-rich secondary structure can also be targeted for disruption. Here, we provide an overview of both what is known about the eDNA-dependent matrix, as well as the resultant means that have resulted in biofilm resolution. Results obtained to date have been highly supportive of continued development of DNABII-targeted approaches, which is encouraging given the great global need for improved methods to medically manage, or ideally prevent biofilm-dependent infections, which remains a highly prevalent burden worldwide.
Considerations on Field Methodology for Macrofungi Studies in Fragmented Forests of Mediterranean Agricultural Landscapes

The methodology used for the determination of macrofungal diversity in Mediterranean areas differs in the time of sampling and the number of years displayed, making it difficult to compare results. Furthermore, the results could be refuted because the studies are being conducted over an insufficient number of years or without considering the variation of the meteorological conditions from one year to the next and its effects on fruiting time, which might not fit the sampling. In order to optimize field work on fungal fruiting in Mediterranean environments dominated by holm oak (Quercus ilex L.), a weekly field analysis of macrofungal diversity from February 2009 to June 2013 was carried out in a Mediterranean holm oak forest in the middle-west of the Iberian Peninsula. The results revealed that fruiting bodies appeared throughout the year and that there was a delay in autumn fruiting, overlapping with spring. All this seems to indicate that weekly collection throughout the year and for a period of two years could be sufficient to estimate the macrofungal biodiversity of this ecosystem.
Reviewing Identity Politics from Pancasila Democracy

In the Reformation era, identity politics rose in Indonesia, resulting in ethnic and religious conflicts, religious fundamentalism and radicalism with an agenda to enforce Islamic Sharia, and a political maneuver in political contestation. This article discusses identity politics from Pancasila Democracy. This study uses a qualitative literature study method with a content analysis approach. This approach includes all analysis of the content of the text to conclude efforts to find the characteristics of the text objectively and systematically. The study results that the clash of ethnic, religious, and ideological-based identity politics has occurred since the beginning of the Independence of Indonesia. The feud arose because each group wanted to fight for its primordial identity politics to fill Indonesia, mainly nationalist and religious groups. The feud could be reconciled by making Pancasila the ideology of the Indonesian nation. Pancasila is the result of the agreement of the nation's founding fathers to glue together the diversity of ethnicities, religions, and ideologies that live in Indonesia.
HEALM: Hardware-Efficient Approximate Logarithmic Multiplier with Reduced Error

In this work, we propose a new approximate logarithm multipliers (ALM) based on a novel error compensation scheme. The proposed hardware-efficient ALM, named HEALM, first determines the truncation width for mantissa summation in ALM. Then the error compensation or reduction is performed via a lookup table, which stores reduction factors for different regions of input operands. This is in contrast to an existing approach, in which error reduction is performed independently of the width truncation of mantissa summation. As a result, the new design will lead to more accurate result with both reduced area and power. Furthermore, different from existing approaches which will either introduce resource overheads when doing error improvement or lose accuracy when saving area and power, HEALM can improve accuracy and resource consumption at the same time. Our study shows that 8-bit HEALM can achieve up to 2.92%, 9.30%, 16.08%, 17.61% improvement in mean error, peak error, area, power consumption respectively over REALM, which is the state of art work with the same number of bits truncated. We also propose a single error coefficient mode named HEALM-TA-S, which improves the ALM design with a truncation adder (TA) for mantissa summation. Furthermore, we evaluate the proposed HEALM design in a discrete cosine transformation (DCT) application. The result shows that with different values of k, HEALM-TA can improve the image quality upon the ALM baseline by 7.8~17.2dB in average and HEALM-SOA can improve 2.9~15.8dB in average, respectively. Besides, HEALM-TA and HEALM-SOA outperform all the state of art works with k = 2, 3, 4 on the image quality. And the single coefficient mode, HEALM-TA-S, can improve the image quality upon the baseline up to 4.1dB in average with extremely low resource consumption.