Miracle-dz/UniFAR-FTUs huggingface dataset:
A neurocognitive study of the emotional impact of geometrical criteria of architectural space

The paper presents a new approach to examining the connection between human emotions and architectural space, focusing on the aspect of geometry. It examines how emotional reactions to geometrical manipulations within architectural space can be empirically measured and quantified. By using physiological sensors, such as EEG (Electroencephalography), GSR (Galvanic Skin Response), and eye-tracking (ET), we were able to collect data from participants experiencing virtual environments, differentiated by criteria of scale, proportion, protrusion and curvature. Findings suggest that these criteria influence the user's emotional state. The developed methodology, which combines both qualitative and quantitative measurements, shows changes of interest, both ‘positive’ and ‘negative’, suspected to indicate different emotional states.
Comprehensive Study on Wastewater Treatment Using Photo-Impinging Streams Reactor: Residence Time Distribution and Reactor Modeling

A photo impinging streams reactor was employed to study the degradation of phenol in aqueous solutions applying titanium dioxide nanoparticles as the reaction catalyst. The central composite experimental design method was applied to determine the pertinent operating parameters of such a process. These were phenol concentration, catalyst loading, pH of the slurry, and the feed flow rate. Residence time distribution (RTD) of the slurry phase within the reactor was measured using the impulse tracer method. A compartment model consisting of a number of mixed and plug flow regions was assigned to describe the flow pattern in the reactor. On the basis of such an arrangement and applying the Markov chains discrete time formulation, a three parameters model was derived for the RTD. The parameters of the theoretical RTD model were evaluated by comparing the latter with those determined experimentally. The RTD expression was applied in conjunction with the phenol degradation kinetic model to predict the apparent ra.
Chair of Engineering Mechanics Ifm-publication 2-350 G. I. Schuëller. Past, Present and Future Simulation-based Structural Reliability Past, Present & Future of Simulation − − − − Based Structural Analysis

The Monte Carlo method – which based on the game of chance – was named after the famous Casino of Monte Carlo in Monaco. It was developed in the early fourtieth of the last century. For solving the so-called random neutron transport problems, i.e. diffusion in fissile materials. Already at an early stage of these investigations, the direct simulation was refined with certain variance – reducing techniques. About the same time the methods and theories of structural safety and reliability have been developed, and it was until the late sixtieth and early seventieth, respectively, until Monte Carlo simulation (MCS) techniques have been introduced to this field. First for simulating random variables, and random processes, later on for random fields. It took more than another decade until variance reduction techniques were applied in this area as well. Efficient MCS procedures were considerably advanced through the availability of digital, high-speed computer. Currently the MCS procedure is applied to various aspects of analysis, design of structures, such as uncertainty, reliability, safety and other types of analyses. It proves to be the most versatile tool in structural analysis when taking into account uncertainties in load, material and geometrical parameters. Future developments of MCS techniques will encompass their use within user-friendly computer codes for analysis and design, mainly based on a modular basis for maintaining flexibility and parallel processing for reducing computational efforts.
Finely Tuning the Free Volume Architecture in Iptycene-Containing Polyimides for Highly Selective and Fast Hydrogen Transport

Iptycene-based polyimides have attracted extensive attention recently in the membrane gas separation field due to their unique structural hierarchy and chemical characteristics that enable construction of well-defined yet tailorable free volume architecture for fast and selective molecular transport. We report here a new series of iptycene-based polyimides that are exquisitely tuned in the monomer structure to afford preferred microcavity architecture for hydrogen transport. In particular, a triptycene-containing dianhydride (TPDAn) was prepared to react with two iptycene-containing diamines (i.e., TPDAm and PPDAm) or 2,2′-bis(3-amino-4-hydroxyphenyl)hexafluoropropane (6FAP) to produce entirely or partially iptycene-based polyimides. The incorporation of iptycene units effectively disrupted chain packing, which resulted in ultrafine microporosity in the membranes with a desired bimodal size distribution with maxima at ∼3 and ∼7 A, respectively. Depending on the combination of diamine and dianhydride, the .
Paramagnetic particle assemblies as colloidal models for atomic and molecular systems

Paramagnetic particle assemblies as colloidal models for atomic and molecular system by Dichuan Li Colloidal particles are ideal models for studying the behavior of atomic and molecular systems. They resemble their atomic and molecular analogues in that their dynamics are driven by thermal energy and their equilibrium properties are controlled by inter-particle interactions. Based on this analogy, it is reasonable to construct colloidal chains, where each particle represents a repeat unit, as models for polymers. The advantages of this system over molecular systems are its controllable rigidity, contour length and diameter, as well as the convenience to capture its instantaneous shape and position via video microscopy, which are not trivial to realize in molecular systems. By utilizing the dipolar properties of magnetic colloids, a number of groups have assembled semiflexible and rigid colloidal chains by cross-linking magnetic beads under a magnetic field using polymer linkers. Recently, efforts in constructing colloidal chains led even to anisotropic magnetic colloidal chains that mimic the detailed atomic arrangements of polymers These properties make colloidal chains possible candidates for the classic beadspring or bead-rod model systems for semiflexible and rigid polymers. In my thesis, I present a method for generating linear colloidal chain structures by linking surface functionalized paramagnetic particles using DNA. First, I investigate the force interactions between individual magnetic particles under different conditions to ii optimize the resulting chain stability. A systematic study the bending and rotational diffusion dynamics of the chains and their relationship with the DNA linking chemistry is presented. I then demonstrate their use as a ideal model system to study polymer dynamics. In addition, a technique to measure short-range repulsive surface forces between these colloids with high precision was developed. Building on these repulsive force studies, a colloidal system to study 2-D phase transitions was created. This thesis provides insights into understanding and engineering the directed-assembly of magnetic colloids with specific surface interactions, as well as using the assemblies as model systems to study molecular level phenomena.
Two hydrogen-bonded spiral configurations of the polypeptide chain

During the past fifteen years we have been carrying on a program of determination of the detailed atomic arrangements of crystals of amino acids, peptides, and other simple substances related to proteins, in order to obtain structural information that would permit the precise prediction of reasonable configurations of proteins. We have now used this information to construct two hydrogen-bonded spiral configurations of the polypeptide chain, with the residues all equivalent, except for variation in the side chain.
Projection Pursuit for Exploratory Supervised Classification

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function called the projection pursuit index. Very few projection pursuit indices incorporate class or group information in the calculation. Hence, they cannot be adequately applied in supervised classification problems to provide low-dimensional projections revealing class differences in the data. This article introduces new indices derived from linear discriminant analysis that can be used for exploratory supervised classification.
New Magnetic Beads-based Enzyme Linked Aptamer Colorimetric Assay for Trace Amount Protein Detection

Choosing nucleic acid aptamers as a high efficient and special recognition/sensing element,we developed a novel colorimetric assay based on magnetically separation and special capture to achieve the goal of capturing/tracing target protein.Two different aptamers simply biotinylated,which bound the thrombin in different sites with high affinity,were chosen to develop a sandwich assay.The protein was captured by aptamer-functionalized magnetic beads and detected after the addition of the second biotinylated aptamer and of streptavidin labeled with an enzyme,and the detection of the product generated by enzymatic reaction was achieved by colorimetric assay.This magnetic beads based enzyme linked aptamer assay was capable of capturing thrombin with high specificity,didn′t be affected by other interfering proteins in complex matrix such as human serum albumin and bovine hemoglobin.The detection of thrombin in serum could be carried out with naked eyes,without the need of expensive analytical instruments and more assay time.A linear range from 10 to 80 nmol/L is obtained with a detection limit of 10 nmol/L for thrombin.
Effect of Lysine Supplementation in Commercial Feed on Energy Retention and Feed Conversion Ratio of Carp (Osphronemus gouramy)

The long period of raising carp (Osphronemus gouramy) causes the need for excessive feed. One way that can accelerate the growth of this fish in order to shorten the maintenance period is by the addition of essential amino acids, such as lysine. However, this certainly gives its own influence on energy retention. Therefore, the aim of this study was to determine the influences of addition of lysine in feed on energy retention and feed conversion ratio of carp. The research method used an experimental method with a completely randomized design consisting of five treatments and four replications. The treatments used were the addition of Lysine 0%, 1%, 1.5%, 2%, and 2.5% to the feed. The present experiment was conducted for a year. The results showed that the addition of lysine as much as 2% in commercial feed can increase the energy retention of carp (Osphronemus gouramy). Moreover, the addition of lysine by giving up to 2.5% cannot reduce the feed conversion ratio in carp (Osphronemus gourami) rearing. It can be concluded that the use of lysine has different effects related to the increase in retention and decrease conversion ratio in carp.
Research on Capsule Network Based on Attention Mechanism

Abstract The capsule network has good spatial recognition and has good accuracy in classification and recognition tasks. However, because of the dynamic routing algorithm in the capsule network, the training speed of the capsule network is slow. In order to make better use of the capsule network, reduce For its training cost, this paper proposes a capsule network based on the attention mechanism, and adds the CBAM attention module to the original capsule network to improve the network’s ability to extract information in the feature map channel and information in the feature map space, and improve the network’s learning ability, To reduce the number of network training, thereby reducing the cost of training. This paper conducts experiments based on the original neural network to verify the effectiveness and feasibility of adding the CBAM module to the capsule network. The final result is that the CBAM module can speed up the convergence speed of the capsule network by 50%.
Continuous Software Bug Prediction

Background: Many software bug prediction models have been proposed and evaluated on a set of well-known benchmark datasets. We conducted pilot studies on the widely used benchmark datasets and observed common issues among them. Specifically, most of existing benchmark datasets consist of randomly selected historical versions of software projects, which poses non-trivial threats to the validity of existing bug prediction studies since the real-world software projects often evolve continuously. Yet how to conduct software bug prediction in the real-world continuous software development scenarios is not well studied. Aims: In this paper, to bridge the gap between current software bug prediction practice and real-world continuous software development, we propose new approaches to conduct bug prediction in real-world continuous software development regarding model building, updating, and evaluation. Method: For model building, we propose ConBuild, which leverages distributional characteristics of bug prediction data to guide the training version selection. For model updating, we propose ConUpdate, which leverages the evolution of distributional characteristics of bug prediction data between versions to guide the reuse or update of bug prediction models in continuous software development. For model evaluation, we propose ConEA, which leverages the evolution of buggy probability of files between versions to conduct effort-aware evaluation. Results: Experiments on 120 continuously release versions that span across six large-scale open-source software systems show the practical value of our approaches. Conclusions: This paper provides new insights and guidelines for conducting software bug prediction in the context of continuous software development.
Fungal selenium(VI) accumulation and biotransformation ‐ filamentous fungi in selenate contaminated aqueous media remediation

While selenium is an essential trace element, its excessive intake causes adverse effects to human health. Therefore, selenium control and removal from water and soil are crucial in limiting environmental and human health risk. Various microorganisms have recently been exploited for use in remediation processes, especially filamentous fungi, which are efficient metal(loid) bioaccumulators with unique metabolic pathway of metal(loid) transformation into volatile derivatives. This contribution investigates the filamentous fungus Aspergillus clavatus' efficient and environmentally friendly selenium(VI) bioaccumulation and volatilization in selenium contaminated substrates remediation. The static batch culture experiments investigated these phenomena with initial selenium(VI) concentrations up to 89 mg L−1. The biovolatilization and bioaccumulation efficiency was calculated from selenium concentration data determined by inductively coupled plasma optical emission spectrometry in biomass and culture medium after a 14-day cultivation period. The maximum selenium bioaccumulation capacity was almost 2.3 mg g−1 dry fungal biomass, with significant 2.8 mg g−1 biovolatilization during the 14-day fungal incubation. Although bioaccumulation dominates selenium removal in diluted solutions, biotransformation into non-harmful volatile derivatives ensures efficient selenium removal from aqueous media with extreme selenium concentrations up to 89 mg L−1. In contrast to biosorption/bioaccumulation process, biovolatilization leaves no solid residues with high selenium loads, thus confirming biovolatilization is the most suitable biological method for selenium removal from contaminated waters and sediments. In addition, filamentous fungal biomass application is highly beneficial in treatment of selenium contaminated aqueous media.
Performance Comparison of MPLS TE Networks with Traditional Networks

The tremendous growth and requirements for service quality, tenability, and efficiency have made traffic engineering an essential consideration in the design and operation of large public Internet backbone networks. Traffic engineering is the aspect of Internet network engineering that deals with the problem of operation analysis and operation optimization of functional IP networks. The principal target of internet traffic engineering is to direct the packets of IP traffic through a given system in an efficient and speedy manner conceivable. This paper explores the role of signaling protocols for traffic engineering in MPLS and provides a comparative analysis of non-MPLS and MPLS networks for substantial traffic situations. The simulation of the proposed solution has been performed in OPNET environment and the simulation results prove enhanced network performance of MPLS.
Appendix 1 for: Spike frequency adaptation supports 1 network computations on temporally dispersed 2 information

We wondered whether the adaptive firing threshold of LIF neurons with SFA affects the autocorre14 lation function of their firing activity — termed intrinsic time scale in (Wasmuht et al., 2018). We 15 tested this for an SNN consisting of 200 LIF neurons without and 200 LIF neurons with SFA that 16 was trained to solve a one-dimensional version of the STORE-RECALL task. It turned out that 17 during the delay between STORE and RECALL these intrinsic time constants were in the same 18 range as those measured in the monkey cortex, see Figure 1C in (Wasmuht et al., 2018). Further19 more, neurons of the trained SNN exhibited very similar distributions of these time constants (see 20 Appendix figure 1), suggesting that these intrinsic time constants are determined largely by their 21 network inputs, and less by the neuron type. 22
Supplying angular momentum to the jittering jets explosion mechanism using inner convection layers

We conduct one-dimensional stellar evolution simulations in the mass range 13–20 M⊙ to late core collapse times and find that an inner vigorous convective zone with large specific angular momentum fluctuations appears at the edge of the iron core during the collapse. The compression of this zone during the collapse increases the luminosity there and the convective velocities, such that the specific angular momentum fluctuations are of the order of $j_{\rm conv} \simeq 5 \times 10^{15} {~\rm cm}^2 {~\rm s}^{-1}$. If we consider that three-dimensional simulations show convective velocities that are three to four times larger than what the mixing length theory gives, and that the spiral standing accretion shock instability in the post-shock region of the stalled shock at a radius of ${\simeq}100 {~\rm km}$ amplifies perturbations, we conclude that the fluctuations that develop during core collapse are likely to lead to stochastic (intermittent) accretion discs around the newly born neutron star. In reaching this conclusion, we also make two basic assumptions with uncertainties that we discuss. Such intermittent discs can launch jets that explode the star in the frame of the jittering jets explosion mechanism.
Traditional Leadership Styles Influencing Employee Work Behaviors In Islamic Banks Of Sindh, Pakistan

Organizations need effective leaders as the behavior of organizational members can be influenced towards organizational goals. Behavioral theories of leadership imply that by adopting a particular behavior infinite and effective leaders can be produced. To explore which style is more effective in organizations, this research was conducted in Iowa State leadership styles and sought. Closed-ended questionnaire was used for data collection for the study. The sample is composed of 160 employees of Islamic banks of three metropolitan cities of Sindh. To analyze the data, SPSS was used in terms of Descriptive Statistics, Pearson correlation, and Chi-Square. Results implied that commitment correlates with democratic leadership and laissez-faire leadership styles. Job satisfaction and organizational citizenship behavior are high in the democratic style. Deviant workplace behavior is associated with an autocratic leadership style. Productivity is not found to be significantly related to any leadership style. Autocratic leadership style is positively correlated with regularity and laissez-faire leadership style is positively correlated with commitment, but both styles do not have a positive influence on other work behaviors. The study advocates the democratic style as the majority like it and it is also positively related to employees’ work behavior in Islamic banks.
Factors Affecting the Decision of Adoption Cloud Computing Technology: The Case of Jordanian Business Organizations

: This research, is a clear case for developing countries, that realize the profits of cloud computing, to enhance their business and develop cutting-edge technology, but first, they need to address the concerns of decision-makers toward cloud computing technology. This research is based on a Technology Acceptance Model, which is modified to fit the context. The factors applied in this research are: Perceived Usefulness, Perceived Ease of Use, Perceived Risk/Security, Cloud Computing Awareness, compatibility, cost and an aim to use where it is a dependent variable in this study. Within this study, the Likert Scale (five-point scale) survey was produced, to get data from IT employees of the Jordanian business organization. Data was collected from 175 IT employees. Linear regression was used to examine the data using SPSS software. The outcomes revealed that perceived ease of use, perceived usefulness, cost, perceived risk were statistically significant, while compatibility and cloud computing awareness were found not to be statistically important. These outcomes explain that cloud computing systems can be quickly deployed in developing countries (avoiding unnecessary innovation); if users accurately understand their utility, it is clear that operating costs might be reduced. The perceived risk of system usage is low. We consider, of particular importance, the research line that technological compatibility is not significant, with the successful introduction of cloud applications. Fast deployment of cloud applications are good opportunities for developing countries, because of the lower cost of new software applications and use of big data.
Physical validation of simulators in computer graphics

We introduce a selected set of protocols inspired from the Soft Matter Physics community in order to validate Computer Graphics simulators of slender elastic structures possibly subject to dry frictional contact. Although these simulators were primarily intended for feature film animation and visual effects, they are more and more used as virtual design tools for predicting the shape and deformation of real objects; hence the need for a careful, quantitative validation. Our tests, experimentally verified, are designed to evaluate carefully the predictability of these simulators on various aspects, such as bending elasticity, bend-twist coupling, and frictional contact. We have passed a number of popular codes of Computer Graphics through our benchmarks by defining a rigorous, consistent, and as fair as possible methodology. Our results show that while some popular simulators for plates/shells and frictional contact fail even on the simplest scenarios, more recent ones, as well as well-known codes for rods, generally perform well and sometimes even better than some reference commercial tools of Mechanical Engineering. To make our validation protocols easily applicable to any simulator, we provide an extensive description of our methodology, and we shall distribute all the necessary model data to be compared against.