Miracle-dz/UniFAR-FTUs huggingface dataset:
Insights into binding modes of tumstatin peptide T7 with the active site of αvβ3 integrin

Through interaction with the active site of αvβ3 integrin, tumstatin T7 peptide inhibits both the angiogenesis and the proliferation of tumour cells. In this work, docking in conjunction with molecular dynamics simulation was used to explore the binding mode of T7 peptide and αvβ3 integrin. The binding mode analysis revealed that the residues Ser90, Arg91, Asp93 and Tyr94 in T7 peptide, and (α)-Asp150, (β)-Arg214, (α)-Asp148 (α)-Gln214 and (α)-Glu123 in the active site of αvβ3 integrin were most likely the key interaction sites. The hydroxyl of Tyr94 coordinates αvβ3 via a Mn2+ ion, revealing that Mn2+ is also an important factor for the interaction. The insight into these key interaction sites not only suggests that the active site of αvβ3 integrin can bind to molecules through multiple binding mechanisms, but also provides some useful information for structure-based drug design.
GESTÃO DO CONHECIMENTO TÁCITO NO CONTEXTO MIDDLE-UP-DOWN DA GESTÃO ESTRATÉGICA

In order to understand how tacit knowledge and the strategy formation integrating process are related, this paper presents some reflections arising from the changes in organizations focusing on the use of strategic middle-up-down management, facing the internal and external environment conditions. It is well known that the concept of strategy and management have different theoretical currents and do not have single direction. In this sense, considering the knowledge management and the strategy implementation a theoretical essay was proposed, presenting a reflexive analysis about the middle-up-Fernando down strategy formation process, the perspectives of emergent and deliberate strategies and the tacit knowledge in the context of strategic management. As main reflections, the essay emphasizes the constant influence of the actions of the intermediary levels of the organizations and the exchange of organizational knowledge by the collaborators of all the organizational levels in the strategy formation process. It is highlighted as contribution of this study the indicative so that the researches carried out within this perspective deepen the theories of the social sciences contributing to the theoretical construction of the field. Thus, the relationship between tacit knowledge management (organizational experience) and the strategy formation process contributes to research that deepens the study of organizational relationships and what occurs on a daily basis as something of significant value for strategy studies.
Photoionization of the amidogen radical

The photoionization mass spectrum of NH2, prepared by the reaction H+N2H4, is presented. The adiabatic ionization potential is 11.14±0.01 eV (0.32 eV lower than reported by PES). A prominent autoionizing Rydberg series is observed, converging to the excited A 1A1 state at 12.445±0.002 eV. By extrapolation, NH2 should absorb strongly at ∼1150 A. From the threshold for formation of NH+ (NH2), we obtain ΔH0f 0(NH+)=396.3±0.3 kcal/mol. With auxiliary data, we compute ΔH0f 0(NH)=85.2±0.4 kcal/mol, ΔH0f 0(NH2)=45.8±0.3 kcal/mol, D0(H2N–H)=106.7±0.3, D0 (HN–H)=91.0±0.5, and D0 (N–H)=79.0±0.4 kcal/mol. Additional photoionization measurements on N2H4 and N2H3 are also included.
Effectiveness of Ionic Correction along with Conventional Physiotherapy in Patients Recovering from Stroke: A Case Study

Background and Aims: Brain damage caused by stroke is associated with sensorimotor and/or cognitive impairment, depending on area of brain affected and the severity of attack. The aims of this study were to show the importance of physiotherapy associated with electrolyte and mineral balance through diet correction in patients recovering from stroke. Methods: This is a follow-up study of two patients with stroke followed at Kinshasa International Hospital Center during period from May 16 to July 1, 2020. The first had received physiotherapy with foods for correction of the existing ionic and mineral deficiency and the second had only received pharmacological management with conservative physiotherapy without making a change in diet. Clinical and electrolyte monitoring was performed at regular intervals in both patients. The variables of interest evaluated in both patients were FIM, MOTOR/SENSORY and Ionic balance. Results: The parameters of FIM, motors and sensory functions were improved during follow-up, however they remained disturbed in the control. Na+, Cl﹣, K+, Ca2+, and ionic Ca+ improved from intake to discharge. The biological parameters deteriorated during follow-up in the control. At Day 1, only K+ which was higher in the control than the case. At discharge, a significant drop in K+ control was noted (4.1 vs 3.4); of Na+ (142 vs 125) and of Cl﹣ (109 vs 85). Conclusion: The results show that ionic balance by diet correction associated with physiotherapy is more effective than conventional physiotherapy associated with pharmacological management.
Investigating the Relationships between Mobility Behaviours and Indicators of Subjective Well–Being Using Smartphone–Based Experience Sampling and GPS Tracking

People interact with their physical environments every day by visiting different places and moving between them. Such mobility behaviours likely influence and are influenced by people's subjective well–being. However, past research examining the links between mobility behaviours and well–being has been inconclusive. Here, we provide a comprehensive investigation of these relationships by examining individual differences in two types of mobility behaviours (movement patterns and places visited) and their relationship to six indicators of subjective well–being (depression, loneliness, anxiety, stress, affect, and energy) at two different temporal levels of analysis (two–week tendencies and daily level). Using data from a large smartphone–based longitudinal study (N = 1765), we show that (i) movement patterns assessed via GPS data (distance travelled, entropy, and irregularity) and (ii) places visited assessed via experience sampling reports (home, work, and social places) are associated with subjective well–being at the between and within person levels. Our findings suggest that distance travelled is related to anxiety, affect, and stress, irregularity is related to depression and loneliness, and spending time in social places is negatively associated with loneliness. We discuss the implications of our work and highlight directions for future research on the generalizability to other populations as well as the characteristics of places. © 2020 European Association of Personality Psychology
Structural variations in nickel(II) and copper(II) MN4 Schiff-base complexes with deprotonated tetradentate N,N′-bis(5-aminopyrazol-4-ylmethylene)polymethylenediamine ligands

Two series of copper(II) and nickel(II) complexes [ML1]–[ML6] containing deprotonated tetradentate N,N′-bis(5-aminopyrazol-4-ylmethylene)polymethylene diamine ligands L1–L6 with varying n(2–4) of the bride –HCN(CH2)nNCH– have been prepared and investigated by 1H NMR, UV/VIS and ESR spectroscopy and cyclic voltammetry measurements. Complexes [CuL4]–[CuL6] display a gradual alteration of the configuration at the metal centre from planar to pseudo-tetrahedral when going from n= 2 to 4 as indicated by the variations in their ESR spectral parameters. This was also reflected in the electronic spectra which exhibited a red shift of the ligand-field bands in this series. The nickel(II) complexes with n= 2 or 3 possess a planar structure both in solution and in the solid state, whereas in the case of [ML6](n= 4), diamagnetic in the solid state, a rapid (on the NMR time-scale) equilibrium between planar low-spin (S= 0) and tetrahedral high-spin (S= 1) forms was found in chloroform solution with 45% of the high-spin species at 331 K. At low temperatures the planar ⇄ tetrahedral interconversion is not accompanied by R⇄S enantiomerization at the metal centre due to the higher barriers to inversion of the seven-membered metallocycle which was followed at elevated temperatures by coalescence of the diasterotopic NCH2 and CCH2 protons. The crystal structure of [NiL6][H2L6=N,N′-bis(5-amino-1,3-diphenylpyrazol-4-ylmethylene)butane-1,4-diamine] revealed a planar-to-tetrahedral distorted metal configuration with an angle between the N(1)NiN(2) and N(5)NiN(8) planes of 21° and twist-chair conformation of the seven-membered metallocycle. Cyclic voltammetry showed a reversible NiII→ NiIII oxidation at potentials 0.47–0.51 V and irreversible CuII→ CuI transformations.
Optimization of the Recovery Time of Pyramid Code in Distributed Storage System

In large scale distributed storage systems, erasure code is a basic technology that provides high reliability at low cost. Compared with traditional redundancy technology, erasure coding technology has low redundancy and high flexibility. Therefore, it is a good choice for distributed systems to construct Pyramid codes that are flexible and suitable for a variety of application scenarios, but its disadvantage is that the data recovery time is still long. To address the above problems, in this paper, we propose an Active Fault-Tolerant Pyramid (AFTP) based code, which dynamically adjusts the length of the group in the Pyramid code and the original data block correlation with redundant blocks by using the hard disk fault prediction model based on the decision tree to reduce the length of the group of data blocks in a potentially faulty hard disk, which can be used for multiple hard disk failures. All read and recovery operations are performed within the group, reducing recovery time without adding additional storage overhead. To verify the validity of the AFTP code, we conduct intensive experiments on the distributed storage system based on Ceph. The results show that, compared with Basic-Pyramid (BP), the recovery time of AFTP code is reduced by 8%-64%, and compared with the commonly used classic block codes, the recovery time of AFTP code is reduced by 11%-52%.
An Oxygen‐Insensitive Reagentless Glucose Biosensor Based on Osmium‐Complex Modified Polypyrrole

An optimized material for the development of reagentless oxygen-independent biosensors based on conducting polymers is described. Considering the prerequisites for a fast electron transfer between a redox enzyme and the electrode surface via an electron-hopping mechanism, an Os-complex-modified pyrrole derivative with a long, flexible spacer chain has been synthesized. Copolymerization of the new mediator-modified pyrrole monomer with pyrrole was optimized aiming on a higher mediator loading in the film. The feasibility of this material for the development of reagentless oxygen-independent biosensors is demonstrated by entrapment of a PQQ-dependent glucose dehydrogenase isolated from Erwinia sp. 34-1 within this electrochemically grown redox-polymer network.
Research on Pedestrian Detection Algorithm Based on Deep Learning

Pedestrian detection is a kind of computer vision technology which is used to judge whether there is a pedestrian in a given image or video and estimate its position accurately. Pedestrian detection technology is widely used in intelligent security monitoring, driverless and robot fields. Pedestrian detection technology has nearly 30 years of development. Although it has greatly improved in accuracy and speed, there are problems such as lighting, pedestrian individual differences, occlusion and multi-scale pedestrian targets in the actual application scenarios, which lead to more missed and false detection in pedestrian detection. The algorithm is not robust enough, which makes the actual deployment difficult.
The other entropy

Granular materials are not in thermodynamic equilibrium. Nevertheless, concepts borrowed from equilibrium statistical mechanics are extensively used to characterise granular systems. One often-invoked concept is the so-called granular entropy. In this paper, we consider what it would take to compute granular entropy numerically. Our focus is the analogy (or, more accurately, lack thereof) between statistical mechanical ensembles, as used in Monte Carlo simulations of thermal systems, and preparation protocols used in the generation of granular packings. Attempts to phrase the description of granular media in ‘thermal’ Monte Carlo language reveal some awkward problems. Whilst some of these problems had been reported in the existing literature, the present perspective yields new insights.
Surface Water Quality Classification Based on MobileNetV2

Water quality detection is important for water resources protection. There is an urgent need for convenient and precise water quality detection methods. In this paper a deep learning based detection method is proposed. A MobileNetV2 classifier is constructed and tested aiming at surface water quality classification. The experimental results show that the classifier has excellent performance and can also be deployed on edge devices conveniently.
Analysis the Influence of Investment Knowledge and Investment Habits against the Investment Champion in the Pandemic COVID Period: Evidence from Indonesia

Knowledge of investment regarding the characteristics of benefits and costs of mutual fund products is still very minimal and access to market information on the mutual fund is limited which can be an investment alternative that can be used by the Samarinda community. This Community Service Program aims to provide investment knowledge of mutual fund products through online media whose information can be accessed by every community, especially Samarinda. The PkM program was implemented in 5 sub-districts of welcome sub-districts and 5 sub-districts of Sungai Pinang sub-district on July 8 to August 18 2020 using the online / virtual face-to-face meeting method with online problem solving steps, namely the first step to provide investment knowledge education and introduction to mutual fund product characters, the second step is distributing online questionnaires to community respondents, the third step is processing the questionnaire data, and the fourth step is collecting empirical references and interpreting the observed data. The pandemic covid 19, this motion as investors turned the people of refracting life changed, his extensive and complex investment and the confidence to reach the fixed investment can be achieved . This research includes 268 respondents, the data processed with validity test, reliability test and hypotheses test with analysis 1-10 scale semantic, the independent variable obtained that investment 56,2 percent knowledge and confidence can explain the variable dependent of champion investment in the pandemic covid19 Samarinda Town Kalimantan east of Indonesian society.
Analysis of Recommendation Systems Based on Neural Networks

As the amount of online information explodes, the recommendation system has evolved into an effective strategy to overcome the problem of information overload, which has become the focus of academic and industrial circles, and has led to other related research results. Through the recommendation methods, the author mines the items including information, service, and goods that the user is interested in, and recommends the results to the user in the form of a personalized list. In this paper, the author mainly examines and summarizes the progress of research on neural network based recommendation systems in recent years, as well as giving conclusions about the differences and benefits between that and traditional algorithms. In the end, the future trend of the recommendation systems based on neural networks is prospected.
Optimization of Dimension-Han Machine Translation Model Based on Neural Network

Machine translation is a natural language (source language) converted into another natural language by computer processing. As the main branch of artificial intelligence, machine translation based on neural network has significantly exceeded the traditional statistical machine translation in small language translation. Resource-poor language has become a hot topic, such as Uygur translation, as a typical resource-poor language, although there are some achievements in Uygur information processing, its basic available tools are very limited. This paper first expounds the background of the topic, briefly introduces the background knowledge of machine translation and the language knowledge of related languages. This paper describes the machine translation method based on neural network, and analyzes the existing neural machine translation methods on Uygur-Chinese translation tasks. The analysis of Uygur, Turkish, Arabic and Japanese finally determines the transfer translation of Uygur in Japanese. The parallel corpus of Uygur-Chinese and Japanese-Chinese are used to experiment.
Changes in Practicing Teachers’ Self Efficacy in Teaching Scientific Inquiry

Teacher self-efficacy is an important predictor in teacher’s professional career for inquiry-based instruction. This study investigated the factors (gender, educational level, and teaching experience) associated with science teachers’ self-efficacy in instructional strategies, classroom management, and student engagement in teaching scientific inquiry. A questionnaire was used for data collection from 47 practicing teachers in state schools in 2018. A General Linear Model (GLM) Univariate analysis using SPSS 21.00 programme was used for data analysis. Fact findings revealed that mean perceived self- efficacy in inquiry-based instruction was considerably high irrespective of gender, education level, and teaching experience. Neither teacher self-efficacy in student engagement nor classroom management did not show statistically significant difference according to gender, education level, and teaching experience. However, results concluded that science teaching experience was a significant predictor of self-efficacy in instructional strategies of inquiry-based instruction. I accomplish the task at that level, what are the likely consequences temporally, efficacy expectations precede and help form outcome expectation.
Dynamics of the photoexictation of azo dye-doped liquid crystals probing by pumped attenuated total reflection

Kinetics of the photoexcitation of azo-dye doped liquid crystals (ADDLCs) is observed by the improved attenuated total reflection leading a pump light into a coupling prism, namely pumped ATR (PATR) experiment. The technique of ATR could be applied on an LC cell based on that the guide mode is overcome by the usage of an isotropic surface, which is also a usual way to observe the reaction involving the adsorption effect. The evanescent wave of the pump light induces the photoexcitation of azo dye at the limited effective depth, and the evanescent wave of the probe light detects the dynamic behavior in real time. The time response of the photoexcitation in ADDLCs in the pumped ATR experiment is less than 2ms and believed the reaction occur in the local region of 100-nm. This result is a witness of that the reaction in this local region is free of the influence of the elastic continuum of the whole LC cell. With the help of the local sensitivity and local disturbance, the detailed reactions during the photoexcitation process are clearly observed and the dynamics equation are expressed to illustrate the oscillation phenomena of LC directors as the pump light irradiates on this region.
PEDOT:PSS Coating Improves Gecko-Inspired Adhesive Performance

We report a surface treatment for an elastomeric dry adhesive that improves adhesion, especially on surfaces with microscopic roughness. The process involves coating wedge-shaped polydimethylsiloxane (PDMS) features of the adhesive with a 50 nm coating of poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS). As compared to the uncoated adhesive, performance is 1.25× better on smooth surfaces like glass, with a maximum shear stress of 70 kPa in shear and 25 kPa in normal adhesion under controlled loading conditions. On slightly rough surfaces such as paper and panels painted with flat paint, it provides between 2.5× and over 12× greater shear stress than the uncoated adhesive. Moreover, the coating, being much stiffer than the underlying wedges, does not increase the tendency to become dirty and does not tend to self-stick, or clump. Durability tests show that the performance remains substantially unchanged for 80,000 attachment/loading/detachment cycles. We describe the coating process, present the test results, and discuss the reasons for the enhanced performance on a variety of materials.
Millimeter-VLBI Detection and Imaging of the Gravitationally Lensed γ-Ray Blazar JVAS B0218+357

We observed the gravitationally lensed blazar JVAS B0218+357 with the KVN and VERA Array (KaVA) at 22, 43, and 86 GHz. The source has recently been identified as an active γ-ray source up to GeV/TeV energy bands, rendering a unique target for studying relativistic jets through gravitational lensing. Here we report the first robust very long baseline interferometry (VLBI) detection and imaging of the lensed images up to 86 GHz. The detected milliarcsecond-scale/parsec-scale morphology of the individual lensed images (A and B) is consistent with that previously seen at 22 and 15 GHz, showing the core–jet morphology with the jet direction being the same as at the low frequencies. The radio spectral energy distributions of the lensed images become steeper at higher frequencies, indicating that the innermost jet regions become optically thin to synchrotron emission. Our findings confirm that the absorption effects due to the intervening lensing galaxy become negligible at millimeter wavelengths. These results indicate that high-frequency VLBI observations are a powerful tool to better recover the intrinsic properties of lensed active galactic nucleus jets, which therefore allow us to study the interplay between the low- and high-energy emission.
Sonolytic hydrolysis of p-nitrophenyl acetate: the role of supercritical water

Ultrasonic irradiation is shown to accelerate the rate of hydrolysis of p-nitrophenyl acetate (PNPA) in aqueous solution by 2 orders of magnitude over the pH range of 3-8. In the presence of ultrasound, the observed first-order rate constant for the hydrolysis of PNPA is found to be independent of pH and ionic strength with k_(obs) = 7.5 x 10^(-4) s^(-1) with Kr as the cavitating gas, and k_(obs) = 4.6 x 10^(-4) s^(-1) with He as the cavitating gas. The apparent activation parameters for sonolytic catalysis are ΔH^≠ (sonified) = 211 Kj/mol, ΔS^≠(sonified) = -47/Jl(mol K), and ΔG^≠ (sonified) = 248 kJ/mol. Under ambient conditions and in the absence of ultrasound, k_(obs) is a strong function of pH where k_(obs) = k_(H_2O)[H_2O] + k_(OH)[OH-] with k_(H_2O) = 6.0 x 10^(-7) s^(-1) and k_(OH)- = 11.8 M^(-1) s^(-1) at 25 °C. The corresponding activation parameters are ΔH^≠ = 71.5 kJ/mol, ΔS^≠ = -107 J/(mol K), and ΔG^≠ = 155 kJ/mol. During cavitational bubble collapse, high temperatures and pressures exceeding the critical values of water (T > T_c = 647 K and P > P_c = 221 bar) occur in the vapor phase of the cavitating bubbles and at the interfaces between the hot vapors and the cooler bulk aqueous phase. The formation of transient supercritical water (SCW) appears to be an important factor in the acceleration of chemical reactions in the presence of ultrasound. The apparent activation entropy, ΔS^≠, is decreased substantially during the sonolytic catalysis of PNPA hydrolysis, while ΔG^≠ and ΔH^≠ are increased. The decrease ΔS^≠ is attributed to differential solvation effects due to the existence of supercritical water (e.g., lower ρ and є) while the increases in ΔG^≠ and ΔH^≠ are attributed to changes in the heat capacity of the water due to the formation of a transient supercritical state. A dynamic heat-transfer model for the formation, lifetime, and spatial extent of transient supercritical water at cavitating bubble interfaces is presented.