Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis, Characterization, and Photoactivity of Nanosized Palladium Clusters Deposited on Titania-Modified Mesoporous MCM-41

Abstract Nanoparticles of Pd supported in the mesopores of titania-modified MCM-41 have been synthesized by the photodeposition method for the first time and characterized by XPS spectroscopy, N 2 sorption isotherms, XRD, TEM, SEM, diffusion reflectance UV–vis absorption spectra, and Raman spectra. The metallic Pd clusters were dispersed uniformly in the mesopores of titania-modified MCM-41. The photocatalytic activity of Pd-deposited titania-modified MCM-41 has been investigated. For the photoreduction of Cr(VI) to Cr(III), Pd-deposited titania-modified MCM-41 exhibited much higher photocatalytic activity than the supports did.
MLDB: macromolecule ligand database

MLDB (macromolecule ligand database) is a knowledge base containing ligands co-crystallized with the three-dimensional structures available in the Protein Data Bank. The proposed knowledge base serves as an open resource for the analysis and visualization of all ligands and their interactions with macromolecular structures. MLDB can be used to search ligands, and their interactions can be visualized both in text and graphical formats. MLDB will be updated at regular intervals (weekly) with automated Perl scripts. The knowledge base is intended to serve the scientific community working in the areas of molecular and structural biology. It is available free to users around the clock and can be accessed at http://dicsoft2.physics. iisc.ernet. in/mldb/.
Selection of Rhododendron mucronatum Plants that Have a High Capacity for Nitrogen Dioxide Uptake

In order to select individuals of Rhododendron mucronatum plants that have a high capacity to decontaminate nitrogen dioxide (NO 2 ), which is a major air pollutant, a number of lines prepared by cutting propagation were analyzed for their uptake of NO 2 . In 1996, 1452 different lines (referred to as the 96-plants) were fumigated with 4 μl/l 15 NO 2 for 8 hours, and the total nitrogen content of the leaves, derived from NO 2 , was determined and reflects the plant's NO 2 uptake capacity. A 56-fold difference was observed between the individuals with the highest and lowest capacities. About 100 lines each from the high-, middle- and low-capacity groups were propagated and assayed for NO 2 uptake in the following year (the 97-plants). The maximum variation in NO 2 uptake was 5.6 times. In 1998, 227 lines propagated from the 96-plants and 95 lines from the 97-plants were assayed for NO 2 uptake (the 98-plants). The variations in NO 2 uptake in 97- and 98-plants were a maximum of 4.9 and 5.2 times, respectively. The reason(s) for the disappearance of the initial large variation in NO 2 uptake is (are) not yet known. Those lines showing high and low NO 2 uptake capacities will be useful when studying the genes involved in this important roadside tree.
Chlozolinate fate during vinification process

The influence of two types of vinification processes (with and without maceration) on the residual behavior of chlozolinate [ethyl (R,S)-3-(3,5-dichlorophenyl)-5-methyl-2,4-dioxooxazolidine-5-carboxylate] and its metabolite [3-(3,5-dichlorophenyl)-5-methyloxolidine-2,4-dione] win studied. No chlozolinate was found in either cine after the second racing. Racking greatly reduced also the metabolite content which seems not to be affected by fermentation
Color removal from aqueous solution by biogas residual slurry

The adsorption of Acid Brilliant Blue on biogas residual slurry has been investigated. The parameters studied include dye concentration, agitation time, adsorbent dosage and pH. The equilibrium data fit well with both the Langmuir and Freundlich models of adsorption isotherm. Maximum removal of 99% was observed at pH 2.56. Desorption studies indicate that the dye is solubilised in 50%(v/v) acetic acid to the extent of 59% and the remainder appears to be chemically complexed irreversibly to the adsorbent.
Short-range order in cylindrical liquid-filled micropores

A hard-sphere fluid inside an infinitely long circular cylinder with an ideal hard surface is studied by computer simulation. The system is assumed to be in equilibrium with a bulk hard-sphere fluid of fixed number density. The dependence of the structural and transport characteristics on the cylinder radius is determined. A non-monotonic behaviour of the pressure and self-diffusion coefficient dependences is observed.
An NP-hard problem solver for the Pareto-efficient combustion framework

Multimode combustion appears in various combustion devices. For such configurations, low-dimensional (i.e., high-computational efficiency) manifolds fail to predict the combustion process in the whole domain. To overcome this issue, an adaptive combustion modeling framework was developed by Wu et al. (2015, 2019b) in the form of ParetoEfficient Combustion (PEC) modeling. To accommodate different combustion modeling, PEC utilizes a submodel assignment. To do so, an optimization problem is solved in which the submodel assignment, i.e. the spatial distribution of the different combustion models used during a simulation, minimizes an objective function defined from a combination of error and cost of the combustion modeling with a scalar quantity, the λ parameter, to adjust the error/cost balance. This PEC optimization problem, referred to as the global PEC (GPEC) problem, is defined based on the total error and the global cost over the entire computational domain. Such an optimization problem has been shown to be computationally intractable due to its similarity to Potts energy minimization, a well-known NP-hard problem (Boykov et al. 2001; Wu et al. 2015). To substantially reduce the computational burden associated with this problem, a simplified local PEC (LPEC) problem was considered in all work that used the PEC framework so far (Wu et al. 2015; Wu & Ihme 2016; Wu et al. 2019b; Douasbin et al. 2021). In this approach, an optimization problem is solved in each control volume. Two issues are raised when solving LPEC instead of GPEC: (1) there is no mathematical proof that the solution of the LPEC problem is a global optimum, and (2) the penalty parameter λ does not give a direct control over the global cost or the global error of the simulation. In this context, it is difficult for the user to know which value of λ is suitable for a given application. In practice, if λ is too low, a large fraction of the computational domain will be assigned to the highest-fidelity model, resulting in a large computational cost. Conversely, overly high values of λ will degenerate the combustion modeling to the lowest-fidelity model. In this work, we propose a reformulation of the GPEC problem to address these two limitations. In Section 2, we describe the governing equations before presenting the PEC framework and its reformulations into multiple-choice knapsack problems (MCKP). Section 3 will briefly presents the experimental and numerical setups considered for the validation of the NP-hard problem solver, presented in Section 4. Results are presented in Section 5, focusing on the scaling of the algorithm and demonstrating its applicability to Large Eddy Simulations (LES) via a priori testing of the solver and a posteriori comparisons of results of LESs of the DLR (german aerospace center) jet-in-hot-coflow configuration.
IR Spectroscopic Study on the Hydration and the Phase Transition of Poly(vinyl methyl ether) in Water

The phase transitions of poly(vinyl methyl ether) (PVME) in H2O and D2O have been investigated by Fourier transform infrared (FTIR) spectroscopy. IR spectra of PVME solution are measured as a function of temperature, and changes in the spectra induced by the phase transition are observed. The IR bands attributable to the vibration modes of backbone and methoxy side group exhibit critical changes at a lower critical solution temperature (LCST). Heating of the solution above the LCST leads shifts of C−H stretching bands toward lower wavenumber during a high-wavenumber shift of C−O stretching band (ν(C−O)). Among the C−H stretching bands, symmetric and antisymmetric C−H stretching bands due to the methyl group (νs(CH3) and νas(CH3)) shift to the largest extent (20 cm-1). The νs(CH3) band is composed of two components centered at 2839 and 2820 cm-1, which are assignable to hydrated and dehydrated methyl species, respectively. The molar fraction of the hydrated methyl species is close to 1 below 36 °C and is n.
Low Parameter Sensitivity Deadbeat Direct Torque Control for Surface Mounted Permanent Magnet Synchronous Motors

In order to decrease the parameter sensitivity of deadbeat direct torque control (DB-DTC), an improved deadbeat direct torque control method for surface mounted permanent-magnet synchronous motor (SPMSM) drives is proposed. First, the track errors of the stator flux and torque that are caused by model parameter mismatch are analyzed. Then a sliding mode observer is designed, which is able to predict the d-q axis currents of the next control period for one-step delay compensation, and to simultaneously estimate the model parameter disturbance. The estimated disturbance of this observer is used to estimate the stator resistance offline. Then the estimated resistance is required to update the designed sliding-mode observer, which can be used to estimate the inductance and permanent-magnetic flux linkage online. In addition, the flux and torque estimation of the next control period, which is unaffected by the model parameter disturbance, is achieved by using predictive d-q axis currents and estimated parameters. Hence, a low parameter sensitivity DB-DTC method is developed. Simulation and experimental results show the validity of the proposed direct control method.
Microscopic dynamics of flow in molecularly narrow pores

Flow of fluids confined in molecularly narrow pores is studied by molecular dynamics. Strong density variations across the pore render the usual dependence of the local viscosity on local density inappropriate. At separations greater than four molecular diameters flow can be described by a simple redefinition of local viscosity. In narrower pores a dramatic increase of effective viscosities is observed and is due to the inability of fluid layers to undergo the gliding motion of planar flow. This effect is partially responsible for the strong viscosity increases observed experimentally in thin films that still maintain their fluidity.
Implementation of a spectrum fitting procedure using a robust peak model

The need for an accurate description of characteristic x-ray lines has led to the development of complex peak models that combine a Gauss, a shelf and a tail function. Via relationships that describe the shelf and tail parameters as a function of the energy, it is possible to reduce the number of fit parameters significantly. In this work, we carried out an experiment to study the shelf and tail parameters obtained with an HPGe detector. We observed a strong discontinuity in the shelf and tail parameters around the K-edge energy of Ge. This indicates that these parameters are strongly dependent on the mass-attenuation coefficient of the detector material. Therefore, we propose relationships that describe those parameters as a function of the energy and the mass-attenuation coefficient. The implementation of these relationships in a fitting procedure results in a more robust fitting procedure with a much smaller number of fitting parameters. Excellent fits for HPGe spectra can be obtained. Because the detector dependence seems to be fairly general, we could successfully apply the model to Si(Li) spectra also. Copyright © 2003 John Wiley & Sons, Ltd.
Running head: THE CULTURAL EVOLUTION OF FALSE BELIEFS 1 The cultural evolution of false beliefs: social context amplifies individual learning biases

18 False beliefs can spread within societies even when they are costly and when individuals 19 share access to the same objective reality. Research on the cultural evolution of misbeliefs 20 has demonstrated that a social context can explain what people think, but not whether it 21 also explains how people think. We shift the focus from the diffusion of false beliefs to the 22 diffusion of suboptimal belief-formation strategies, and identify a novel mechanism whereby 23 misbeliefs arise and spread. We show that, when individual decision-makers have access to 24 the data-gathering behaviour of others, the tendency to make decisions on the basis of 25 insufficient evidence is amplified, increasing the rate of incorrect, costly decisions. We 26 argue that this mechanism fills a gap in current explanations of problematic, widespread 27 misbeliefs such as climate change denial. 28 THE CULTURAL EVOLUTION OF FALSE BELIEFS 3 The cultural evolution of false beliefs: social context amplifies individual learning biases 29
IARA: An Orchestrating Improved Artiﬁcial Raindrop Algorithm for VNFs Deployment in Network Function Virtualization

—Network Function Virtualization (NFV) can provide the resource according to the request and can improve the ﬂexibility of the network. It has become the key technology of 5G communication. Resource scheduling for virtual network function service chain (VNF-SC) is the key issue of the NFV. In this paper, the problem of routing and VNFs deployment for VNF service chain (VNF-SC) in inter-data center elastic optical networks (inter-DC EONs) is investigated. We investigate the inter-DC EONs that each data center only can provide some speciﬁc VNFs, and the system resources of all the data centers are limited. In addition, part of requiblack VNFs in each VNF-SC is dependent, i.e., the relative order of requiblack VNFs is ﬁxed. To solve the challenging problem, we ﬁrst establish a mix-integer programming model. Then, to make the population distributed on the search domain uniformly, uniform design method was developed. In addition, an improved artiﬁcial raindrop algorithm (IARA) for the established model, which inspired by particle swarm optimization and differential evolution, is proposed to solve the maximum model efﬁciently. Finally, to demonstrate high performance of the designed algorithm, a series of experiments are conducted in several different experimental scenes. Experimental results indicate that the proposed algorithm can obtain the better results than compared algorithm.
Silica Particles: A Novel Drug‐Delivery System

In recent decades, significant advances in drug‐delivery systems have enabled more effective drug administration. To deliver drugs to specific organs, a range of organic systems (e.g., micelles, liposomes, and polymeric nanoparticles) have been designed. They suffer from limitations, including poor thermal and chemical stability, and rapid elimination by the immune system. In contrast, silica particles offer a biocompatible, stable, and “stealthy” alternative. Bioactive molecules can be easily encapsulated within silica particles by combining sol–gel polymerization with either spray‐drying or emulsion chemistry. Spray‐drying faces challenges, including low yield, surface segregation, and size limitations. In contrast, sol–gel emulsions enable the production of nanoparticles with homogeneous drug distribution, and permit ambient temperature processing, necessary for handling biologicals. Independent control of the size and release rate can be readily achieved. Preliminary in‐vivo experiments reveal enhanced blood stability of the nanoparticles, which, coupled with sustained release of anti‐tumor agents, show good potential for cancer treatment.
RUCIR at the NTCIR-15 WWW-3 Task

The RUCIR team participated in both Chinese and English subtasks of the NTCIR-15 We Want Web-3 (WWW-3) task. This paper describes our approaches and results in both subtasks. In the Chinese subtask, we use Bert [2] on the SogouQCL [17] dataset and a commercial dataset. In English subtask, we use Bert and learning to rank method on TREC Web Track dataset and MS MARCO Passage Ranking dataset 1 . Our approaches achieved the best performances in Chinese subtask.
Formal verification of authenticated, append-only skip lists in Agda

Authenticated Append-Only Skiplists (AAOSLs) enable maintenance and querying of an authenticated log (such as a blockchain) without requiring any single party to store or verify the entire log, or to trust another party regarding its contents. AAOSLs can help to enable efficient dynamic participation (e.g., in consensus) and reduce storage overhead. In this paper, we formalize an AAOSL originally described by Maniatis and Baker, and prove its key correctness proper- ties. Our model and proofs are machine checked in Agda. Our proofs apply to a generalization of the original construction and provide confidence that instances of this generalization can be used in practice. Our formalization effort has also yielded some simplifications and optimizations.
www.ssoar.info Fake news as a weapon of persuasion

Our study is qualitative research. It is a content analysis of more than 2,500 European and American posters of war propaganda identifying modern principles of persuasion and forms of discourse. The analysis of the themes demonstrates that the techniques used one hundred years ago to convince civilians to enlist had enormous potential for development to such a degree that they were adopted by modern political and commercial persuasion. Therefore, we can consider the propagandists of the Great War as modern spin doctors. The idea evolved after reading Propaganda (1928) by Edward Bernays, the nephew of Sigmund Freud. This is an astonishing book; it provides illuminating interpretations both for understanding of war propaganda – not just for the Great War – and for the commercial discourse of which Bernays became a promoting agent. During the Great War the propagandists used emotional and rational stratagems to convince volunteers to leave to the front. Among these, the fake news played an important role in the production of the posters that served to motivate and galvanize people to defend the ideals of the war. It was an organized disinformation action because, especially for American people, the war was very far in kilometres and in interest. Fake news has two different factors: wrong or unreasonable argumentations and false information used as premises. The success of the posters was that of moulding the agenda-setting and the opinion of citizens in order to increase the enlistment to defend the identity of the nation.
Full Reviewed Paper at ICSA 2019 Presented by VDT. Exploring Audiovisual Support Systems for In-Car Multiparty Conferencing

Calling while driving poses a severe safety risk. When more than two people are involved in a call - a conference call - this risk increases even more. Intelligent vehicles could offer support systems that ease the cognitive burden of such a multiparty calls. We explore the possibilities of such advanced driving assistant systems (ADAS) in two ways: ﬁrst, we investigate object-based spatial audio where each remote caller is modeled as a distinct audio source. Second, we apply a non-intrusive ambient stereoscopic 3D (S3D) visualization that indicates the current speaker and its location. In a between-subject design driving simulator study (n=56), we assess workload, user experience and driving performance. Surprisingly, we found no positive effect of object-based audio. However, we present evidence how a supporting visualization might lower situational stress and increase the system’s dependability. We conclude that a supportive and intelligent stereoscopic visualization is a promising candidate for enhancing multiparty conference calls while driving.
THE ROLE OF SOCIAL NETWORK FOR ENTREPRENEURSHIP SUCCESS: A PROPOSED MODEL

A thorough understanding of the entrepreneurial process and attributes of followers in a social network is very important for entrepreneurship success. Many scholars increasingly acknowledged that entrepreneurial activity is embedded in network relationships that direct resource flows to entrepreneurs who are somehow connected. Many literatures indicate that the resources which entrepreneurs may access through their personal networks, allows them to identify opportunities, mobilize resources, and build legitimacy for their firms. Thus, the present study aims to propose a model for entrepreneurship that aligns with the role of social networks, knowledge management and innovation. The model proposed will integrates both process issues and level issues in explaining differential effectiveness in launching, managing, and exiting a new firm. The present study is significant in contributing to the new body of knowledge in the area of entrepreneurship, social network and competency theory. Furthermore the new model proposed will practically assist a new start-up business to strategize. Keyword: Entrepreneurship, Social Networks, Entrepreneurial Competencies, Entrepreneurship Success, Business Starts-up.
Peak Estimation of Univariate Spectraby the Best L1 Piecewise Monotonic Approximation Method

We consider applications of the best L1 piecewise monotonic approximation method for the peak estimation of three sets of up to 2500 measurements of Raman, Infrared and Nuclear Magnetic Resonance (NMR)spectra. Peak estimation is an inherent problem of spectroscopy. The location of peaks and their intensities arethe signature of a sample of an organic or an inorganic compound. The diversity and the complexity of our measurements makes it a difficult test of the effectiveness of the method. We find that the method identifies efficientlypeaks and we compare to the results obtained by the analogous least squares calculations. These results havemany similarities and occasionally considerable differences due to both properties of the norms employed in theoptimization calculations and nature of the spectra. Our results may be helpful to subject analysts as part of theinformation on which decisions will be made for estimating peaks in sequences of spectra and to the developmentof new algorithms that are particularly suitable for peak estimation calculations.
Compact Binary Local Descriptor for Object Identification

Robust local descriptors, such as SIFT [1], GLOH [2], and SURF [3] descriptors, have been extensively used in computer vision applications due to their capability to identify objects or scenes in images with robustness against camera viewpoints and lighting conditions. Together with the recent proliferation of camera equipped mobile devices, these local descriptors have enabled mobile visual search services [4] of objects captured by a camera, such as search services of commercial products or landmarks for providing related information to the users. In these services, the captured images or the local descriptors extracted on the terminal are transmitted over a network to the server, and the search is carried out on the server side with a large database. Size of JPEG image or SIFT descriptors extracted from an image can be tens if not hundreds of kilobytes, which makes transmission over a network slow, becoming the bottleneck for causing response latency of the search service. Recently, small size descriptors [5] have been developed for fast transmission of descriptors over a network. MPEG (Moving Picture Expert Group) has released a call for proposals [6] for standardizing such compact descriptors for mobile visual search applications. For a practical search service, it is essential for the descriptor size to be small, but at the same time object identification accuracy must not be lost. In this paper, we propose a new compact binary local descriptor for object identification. We show that the proposed descriptor achieves an object identification accuracy that is comparable with SIFT descriptor, but with a much smaller size.