Miracle-dz/UniFAR-FTUs huggingface dataset:
Mesostructure of Anatase Thin Films Prepared by Mesophase Templating

A previous paper described the low-temperature synthesis of mesoporous nanocrystalline anatase thin layers obtained by mesophase templating (Chem. Mater. 2003, 15, 2463). This work deals with the structural characterization of these anatase thin layers and with the extension of the synthesis method to films with a different mesostructure. Thus, two triblock copolymers are used as structuring agents and the effect of the volume fraction of surfactant in the dried layers is also considered. The determination of the mesostructures is mainly based on 2D X-ray diffraction experiments, completed with observations by transmission electron microscopy and atomic force microscopy. Nitrogen adsorption−desorption measurements are performed to investigate the porous texture of the thin layers.
Dynamics of Chemical Reactivity Indices for a Many-Electron System in Its Ground and Excited States

A quantum fluid density functional approach is adopted to study the time evolution of various reactivity parameters such as electronegativity, hardness, polarizability, and entropy associated with a collision process between a proton and a Be atom in its ground and excited electronic states. This collision process may be considered to be a model mimicking the actual chemical reaction between a Be atom and a proton to give rise to a BeH+ molecule. A favorable dynamical process involving a ground or an excited state is characterized by maximum hardness, minimum polarizability, and maximum entropy values.
Enantioselective Catalytic Formation of Quaternary Stereogenic Centers

Enantioselective catalytic formation of tertiary stereogenic centers has nowadays reached an impressive level of maturity, as is reflected in the large variety of available methods that afford high yields and high stereoselectivities. However, the development of stereoselective approaches for the formation of quaternary stereogenic centers still represents an enormous challenge for synthetic chemists. On the other hand, biologically active molecules containing quaternary stereogenic centers provide an incentive for the development of new, selective, and useful processes. Over the last few years, breakthrough work relating to the formation of fully substituted carbon centers has appeared in the literature. In this review we discuss recent highlights of this new direction in catalysis research: the formation of quaternary stereogenic centers by enantioselective catalytic methodologies. (© Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2007)
Satellite Communication System adopts OFDM-MIMO Technology with High Speed Connectivity

The space communication development has strong urgent requirement for technology upgrading and evolution. The satellite communication capacity can be advanced by the application of higher data transmission efficiency. It will be contented with diversified High Throughput Satellite (HTS) communication application requirements. A satellite communication system architecture design featured by higher transmission efficiency using Multi-Input & Multi-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) technology which has been wildly used in next generation of terrestrial wireless communications has been presented. It is proposed to solving problems on multiplexing data transmission, receiving signal’s anti-interference, and supporting various multi-user terminals. The throughput and application analysis was done to evaluate system performance in terms of diverse HTSs. A comprehensive evaluation and simulation analysis of space communication application efficiency are carried out to verify the feasibility of basic space application under the diverse simulation conditions. The total throughput of the communication system can reach up to 259Gbps as extremely high speed connectivity, and the maximum spectrum efficiency is close to the ultimate performance of 100bits/s/Hz.
BEHAVIOR OF REINFORCED CONCRETE COLUMNS CONFINED WITH PRESTRAINED SHAPE MEMORY ALLOY PLATES

External confinement of concrete columns increases the column capacities. This is essential for deficient columns to restore their named capacity, or for safe columns to enhance their capacities if required. This paper introduces a simple technique using the superior properties of shape memory alloys (SMA) to actively confine circular concrete columns. The SMA plates were tensioned prior to confinement and placed in their exact locations. The temperature change was applied after the plates were placed on the columns, leading the SMA plates to compress the columns. The experimental program consisted of six circular concrete columns specimens (100 mm diameter, 600mm height). The parameters studied in the experimental program are the applied tension force to the external stirrups prior to the confinement process, and type of confinement (active or passive). The increase of the column capacities due the active SMA confinement was observed, as well as the change of the column behavior after active confinement. Finite element models were performed using ABAQUS software to verify the experimental results. The paper concluded an increase of (17%-38%) in the column capacities compared with the unconfined column. The finite element analysis showed close results to the experiment program, which could lead to a future wide range study to generalize this simple technique on different concrete columns. التدعیم الخارجی للأعمدة الخرسانیة یزید من قدرة الأعمدة على تحمل الإجهادات. و یکون التدعیم ضروریا فی حالة الأعمدة التی بها عیوب لإستعادة کامل کفاءتها مرة أخرى، و کذلک للأعمدة الآمنة لرفع کفاءتها إذا کان ذلک مطلوبا. تقدم هذه الدراسة أسلوبا بسیطا لاستغلال الخواص المتفردة للألواح السبائک الذکیة لإحاطة الأعمدة الخرسانیة إیجابیا، حیث تم شد ألواح السبائک الذکیة بنسبة الإنفعال المطلوبة قبل وضعها على الأعمدة، ثم تمت إحاطة الأعمدة بالألواح فی الأماکن و المسافات المطلوبة، ثم تم تسخین الألواح لتضغط على الأعمدة الخرسانیة و هی تحاول الرجوع لطولها الأصلی. تم عمل برنامج عملی مکون من ستة عینات أعمدة خرسانیة دائریة بقطر 100مم و طول 600مم، و تم تغییر قوة الشد للألواح و کذلک نوع الإحاطة (سلبی و إیجابی). تم مراقبة نسبة الزیادة فی الحمل الأقصى للأعمدة و کذلک تغیر سلوک الأعمدة مع تغیر نوع الإحاطة و قوة الشد السابقة. تم عمل نماذج رقمیة للأعمدة باستخدام برنامج أباکوس ABAQUS للتأکید على نتائج البرنامج العملی. توصلت الدراسة إلى التأکید على فاعلیة المواد الذکیة فی الإحاطة الإیجابیة و السلبیة للأعمدة الخرسانیة و تم رفع کفاءة الأعمدة بنسب تتراوح من (17%) و حتى (38%) مقارنة بالعمود غیر المحاط. و أظهرت النماذج الریاضیة توافقا جیدا مع النتائج العملیة مما یمهد الطریق لعمل دراسة نظریة موسعة باستخدام النماذج الریاضیة لتطبیق لتطبیق طریقة الإحاطة المقترحة على أعمدة خرسانیة مختلفة.
Adaptive Sorting-Based Evolutionary Algorithm for Many-Objective Optimization

Evolutionary algorithms have shown their promise in coping with many-objective optimization problems. However, the strategies of balancing convergence and diversity and the effectiveness of handling problems with irregular Pareto fronts (PFs) are still far from perfect. To address these issues, this paper proposes an adaptive sorting-based evolutionary algorithm based on the idea of decomposition. First, we propose an adaptive sorting-based environmental selection strategy. Solutions in each subpopulation (partitioned by reference vectors) are sorted based on their convergence. Those with better convergence are further sorted based on their diversity, then being selected according to their sorting levels. Second, we provide an adaptive promising subpopulation sorting-based environmental selection strategy for problems which may have irregular PFs. This strategy provides additional sorting-based selection effort on promising subpopulations after the general environmental selection process. Third, we extend the algorithm to handle constraints. Finally, we conduct an extensive experimental study on the proposed algorithm by comparing with start-of-the-state algorithms. Results demonstrate the superiority of the proposed algorithm.
A critical analysis of ’Law 4.0’: The use of Automation and Artificial Intelligence and their impact on the judicial landscape of Brazil

There is a digital revolution, called Industry 4.0, happening around the world(and therefore, in Brazil as well! ) that is shifting our activities from an ’analogic’ to a ’digital’ format. From health to education, we can see more and morethe digitalisation and the automation taking a key part of the work involved inmanaging data (being it private or public) and optimising the processes in general. With this move, the ’realisation’ that there are several possible ways toperform automation including the use of intelligent systems came to light andit has become a particular favourite term used in any situation to name anycomputational system. In the justice area, it has not been different, and, particularly, in the Brazilian Justice system, there is a strong move to have as muchautomation, digitalisation of the processes as possible. However, the generalunderstanding of what algorithms, automation and intelligent systems can beor perform are very foggy and, more often than not, we can see the word ’intelligent’ being used inadvertently. Thus, this paper will aim at simply definethe keywords from the computer science area: algorithm, automation and intelligent systems (artificial intelligence), evaluate the systems that are in use inthe Brazilian Justice System, specifically indicating in which category they falland, finally, discuss the impact of using intelligent systems without any humanintervention in the context of the so called ’Law 4.0’.
Semen microbiota: cluster analysis of real-time PCR data

To this day semen microbiota is still poorly understood, and clinical significance of detecting specific microorganism groups has not been clearly determined. The aim of this work was to conduct cluster analysis of semen microbiota detected using real-time PCR. 634 semen samples of reproductive age men were analyzed using the Androflor kit. Microbial DNA in the quantity of no less than 103 GE/ml was detected in 460 samples (72.5%). From 1 to 14 microorganism groups were detected in 350 samples (55.2%) in the quantities that exceeded the threshold values (the detection rate of specific groups: 3.3–21.0%). In these 350 samples 4 stable microbiota clusters were determined. Each of the clusters was characterized by the prevalence of a specific microorganism group: obligate anaerobes (cluster 1; n = 172; detection rate — 49.1%), Lactobacillus spp. (cluster 2; n = 78; detection rate — 22.3%), gram-positive facultative anaerobes (cluster 3; n = 62; detection rate — 17.7%), Enterobacteriaceae / Enterococcoccus (cluster 4; n = 62; detection rate — 10.9%). Cluster 1 was less stable and was characterized by the larger species diversity compared to other clusters.
Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI)

: This research study is intended to deliver effective magnetic resonance (MR) brain image segmentation, which is an ambiguous process in the domain of medical image analysis. In general, MR brain image comprises various tissue structures; and an accurate representation of the above-mentioned regions is essential to have a perfect identification of different grades of tumours, and obtaining effective demarcation of different areas in which the oedema portion is widespread. The accurate representation and identification of the abnormal regions in the MR images can be a vital tool for the radiologists and oncologists to proceed further with the treatment processes. This study aims in developing a novel automated approach that combines self-organising map and interval type-2 fuzzy logic clustering, providing ample knowledge to the clinicians in identifying the aberrant regions present in the patient brain. A non-invasive analysis blended with quicker segmentation results are proffered by the proposed methodology and its functioning abilities have been assessed using comparison metrics such as mean-squared error (MSE), peak signal-to-noise ratio (PSNR), processing time duration, and few other standard metrics. The proposed methodology has offered commendable MSE and PSNR values, which are 0.234778 and 54.847 dB, and it can be undeniably utilised for analysing the patient diseases
Reducing Generalization Error Using Autoencoders for The Detection of Computer Worms

This paper discusses computer worm detection using machine learning. More specifically, the generalization capability of autoencoders is investigated and improved using regularization and deep autoencoders. Models are constructed first without autoencoders and thereafter with autoencoders. The models with autoencoders are further improved using regularization and deep autoencoders. Results show an improved in the capability of models to generalize well to new examples.
Organic thin-film transistors with poly(methyl silsesquioxane) modified dielectric interfaces

Poly(methyl silsesquioxane) modification of SiO2 gate dielectric surface leads to significantly improved performance of polythiophene-based organic thin-film transistors. The beneficial effects of this surface modification on transistor performance are often significantly greater than those of other silane self-assembled monolayers (SAMs). This polymer modification approach can also be applied to solution-processed dielectric surfaces where the growth of silane SAMs is difficult, thus enabling fabrication of flexible organic thin-film transistor circuits on plastic substrates.
Language in Language Evolution Research: In Defense of a Pluralistic View

Many controversies in language evolution research derive from the fact that language is itself a natural language word, which makes the underlying concept fuzzy and cumbersome, and a common perception is that progress in language evolution research is hindered because researchers do not ‘talk about the same thing’. In this article, we claim that agreement on a single, top-down definition of language is not a sine qua non for good and productive research in the field of language evolution. First, we use the example of the notion FLN (‘faculty of language in the narrow sense’) to demonstrate how the specific wording of an important top-down definition of (the faculty of) language can—surprisingly—be inconsequential to actual research practice. We then review four approaches to language evolution that we estimate to be particularly influential in the last decade. We show how their breadth precludes a single common conceptualization of language but instead leads to a family resemblance pattern, which underwrites fruitful communication between these approaches, leading to cross-fertilisation and synergies.
An In vitro and in vivo study on antimicrobial activity of Origanum vulgare extract and its nano form against Streptococcus iniae in rainbow trout (Oncorhynchus mykiss)

This study was performed in order to determine the antibacterial activity of oregano, Origanum vulgare extract (OVE) and its nano extract (NOVE) on Streptococcus iniae in rainbow trout in vitro and in vivo. Extractionwas done under standard percolation method. Then OVE and NOVE were screened to identify their antimicrobial activity against Streptococcus iniae by using disk diffusion assay and challenge methods. Also, the MIC and MBC values for OVE and NOVE were determined by micro dilution method. Furthermore, the antimicrobial effect of OVE and NOVE were examined by feeding rainbow trout fingerlings, with O. vulgare extract and its nano extract and florfenicol as a positive control. Then, all fish were injected intraperitoneal with S. iniae suspension in 3×108 CFU/mL concentration. Mortality rate was investigated for next 14 days after injection; then the spleen of fish samples removed to determine bacteria total count (SBT). In vitro results showed that OVE and NOVE had antimicrobial activity which was higher in NOVE. The inhibition zone of NOVE (26.066 mm) was significantly greater than OVE (21.7mm) (p <0.05). Also, the MIC and MBC values with high efficacy against S. iniae in NOVE treatment group were 0.25 and 0.5 mgmL respectively, which was lower than OVE treatment values (p <0.05). In vivo results showed that the mortality rate and SBT was significantly lower (p <0.05) in the fish fed with NOVE than OVE and the control group (p <0.05). These results indicated that the Origanum vulgare extract and its nano extract supplement are satisfactory as a prophylactic measure against rainbow trout streptococcosis and also for fish health improvement.
Assessing School Principals' Perceptions of School Effectiveness in the Palestinian Schools

School effectiveness is a multifaceted term; one of its meanings refers to the level of goal attainment of a school. When researchers explore the literature that relates to school effectiveness, we noticed that much of this literature is theoretical. This situation has led us to design a Likert type school effectiveness scale to define the qualities of effective schools, by investigating the exploratory factor analysis results of school effectiveness scale. The present questionnaire examines principals' perceptions of six school effectiveness factors: the effectiveness of school climate, school administration effectiveness, the effectiveness of the teacher, the effectiveness of the relationship with the local community, the effectiveness of educational practices, the student's having a sense of belonging to the surrounding environment. This questionnaire is factorable and explains 62.594% of the variance of a more general school effectiveness score. The questionnaire was distributed to 243 school principals, and the collected data was analyzed by computing a one sample t-test to assess participants' scores in relation to the six school effectiveness factors. The results indicated that scores are high ‘mostly'.
Binding of alkenes to the ligands in OsO2X2 (X = O and NR) and CpCo(NO)2. A frontier orbital study of the formation of intermediates in the transition-metal-catalyzed synthesis of diols, amino alcohols, and diamines

The concerted [3 + 21 cycloaddition of an alkene to the oxygen ligands in osmium tetroxide and the binding of the alkene to the metal center leading to an asymmetric intermediate are analyzed from the frontier orbital point of view. It is suggested that the increased reactivity of osmium tetroxide with alkenes in the presence of tertiary amines, e.g., pyridine, follows from a cis addition of pyridine to osmium tetroxide, leading to a geometrical distortion of the osmium tetroxide fragment from Td to an activated Czc symmetry. The calculations are supported by the structure of the products. The reactions of do bis(imido)oxoosmium species with alkenes are examined in a similar way. The reactions of a seemingly very different, yet in fact similar (~5-cyclopentadienyI)dinitrosocobalt complex have also been analyzed from a frontier orbital point of view. The valence MO’s are constructed from the cobalt dinitrosyl cation and cyclopentadienyl anion. The structure of the nitrosyl groups (bent or linear) is studied, and it has been found that the bent structure has the lowest energy. The binding of alkenes to the nitrosyl ligands is examined. The reaction of alkenes with osmium tetroxide to form cis-diols is an old and well-established reaction. ’ The reaction takes place via an osmium(V1) intermediate, 1, which on reductive or oxidative hydrolysis yields the corresponding cis-diol. The osmium(V1)
Simulation and Optimization of Emergency Evacuation in Gold Museum Based on AnyLogic

This article combines the characteristics of the gold museum building structure, facilities distribution and personnel distribution characteristics, uses AnyLogic to complete the museum’s environmental modeling and visitor behavior modeling, simulates the completed tourist evacuation model, analyzes the evacuation process of personnel, and responds to potential safety hazards. The evacuation process was simulated and optimized, and an improvement plan was proposed. Finally, reference suggestions were made for the tourist evacuation plan of the Gold Museum. It provides a way of thinking and method for safe evacuation in scenic spots, and has certain practical application value.
Endogenous Innovation Potential: Regional SMEs’ Perspective in Emerging Economies

Purpose: The objective of this paper is to determine the endogenous innovation potential of regional SMEs in emerging economies (EE). The presented research examines where the SME sector stands within the economy, especially an emerging one, with particular emphasis on the circumstances surrounding business innovation and an innovative economy in conditions of sustainable development. Design/Methodology/Approach: A current understanding of the concept of SMEs along with the consequences for enterprises that arise from their inclusion within the analyzed sector is described. To achieve this goal, a group of innovatory indicators have been developed that are particularly important for the growth of the innovative potential of enterprises in the SME sector. Activities are also indicated that are particularly important for the development of the innovative potential of this sector. A research hypothesis concerning the endogenous innovatory activity of the SMEs in the region under analysis is proffered in this work. Findings: On an empirical level, based on the analysis, it can be pointed out that the key to competitiveness is innovation, and the pace of change in techniques, technology and organization means that only an enterprise capable of introducing innovative changes can survive in the market. Practical Implications: The enterprises surveyed, in terms of SME in the Opole Voivodeship, Poland, are characterized by innovatory potential. This will contribute to the perception of this sector not only as the dominant one in terms of quantity when considering all the enterprises on the market, but also as an equal partner among innovative enterprises of the region. Originality/Value: Relevant to the development of the whole SME sector is the fact that it not only derives from external innovatory potential but is itself increasingly a source and driving force. Research fulfils the gap in the using new tool – neural networks (NN) to analysis of economical phenomenon such as innovational potential of enterprises, establishes the model concerning the use of a group of innovativeness indicators for the growth of enterprise innovativeness and purposes new definition of innovation as well.
Finding key points in a hand image using heatmaps

This paper presents an approach to finding key points in the image of a hand using heat maps. For this, a convolutional model of a neural network and a training method on heatmaps were combined. An open bank of palm photos, supplemented by a set of own images and synthetic data, was used as a dataset. Direct and inverse transformations of two-dimensional coordinates on the plane into heat maps with a 2D Gaussian function centered at coordinate points were applied, data was prepared, the model was trained and tested. As a result of this approach, a neural network model able to recognise real world images was obtained.
On-Line Analysis of Mercury by Sequential Injection Stripping Analysis (SISA) Using a Chemically Modified Electrode

A highly flexible, automatic sequential-injection stripping analysis (SISA) system has been developed and applied for monitoring the levels of mercury in aqueous solutions using a chemically modified electrode. The preparation of the modified electrode comprises spin coating of an ethanolic solution of poly(4-vinylpyridine) and Kryptofix-222 onto a glassy carbon electrode (GCE) followed by cross-linking the polymer. The analysis is based on the anodic stripping voltammetry of mercury using differential pulse voltammetry. A sequence of 36 operations was needed to complete a full cycle of cleaning, calibration and analysis.