Miracle-dz/UniFAR-FTUs huggingface dataset:
The Logic Architectures Used For Dimension Decrease With Concert Development In FPGA

Half of the square adjustable buildings are displayed in the field modified door with a set of question tables and reinforced servo multipliers that are specially monitored for maximum targeted thickness and shrinkage. The map is also modified that focuses on specific buildings within ABC. Both represent the rationale square complex and direct the area while maintaining high map depth. As for the causative properties, the detailed design for this sheet will verify weight, location and operating conditions with Xilinx 14.2. Since the inception of the proposed field of entry level signalling (FPGAs), the most important question tables (LUTs) have been used to accept the conceptual framework. Gate arrays with a field-structured logic-block hybridized with a combination of LUs and several solid modules are examined directly for the purpose of maximum average thickness and low surface area.
Research on semi‐supervised community discovery algorithm based on new annealing

: Based on the similarity of the community detection methods, the Givern-Newman (GN) algorithm is fast and accurate but has a higher running time. In order to improve the efficiency of GN Algorithm, this study presents a semi-supervised GN algorithm based on node similarity. By making full use of the constraint set of the prior knowledge must-link and cannot-link, the prior information is extended by the derived rules, and the extended information is verified by the method of distance measurement. Using new annealing maximisation algorithm to calculate node similarity iteratively, and validated using artificial and real networks. It proves that the proposed algorithm reduces the GN algorithm's running time and improves efficiency.
Globalization and labor demand elasticities: Do trading partners matter

This paper uses industrial level data across 41 developing and emerging economies over the period of 1993–2013, to analyze the impact of globalization on the elasticity of demand for labor. The use of both import penetration ratios and export intensity in our model allows for assessment of relative effectiveness of exports vis à vis imports in influencing the labor elasticities. Furthermore, the disintegration of exports and imports according to their trading partners helps explore a novel source of heterogeneity in labor elasticity originating as a result of trading relationship with developed and developing world. Using system-GMM approach, our results reveal that both exports and imports make labor demand more elastic, with imports leaving the labor demand more vulnerable to wage changes. Trading with developing countries renders labor demand more elastic and that too with respect to low-tech or labor intensive products, while trading with developed countries poses no effect. Overall, the results point towards developing countries encouraging greater exporting and importing ties with developed world to ease its impact on the elasticity of demand for labor. However, trading with developing countries need not be suspended rather labor protection programs need to be in place to counter any consequent adverse effects.
Multiple View Relations Using the Teaching and Learning-Based Optimization Algorithm

In computer vision, estimating geometric relations between two different views of the same scene has great importance due to its applications in 3D reconstruction, object recognition and digitization, image registration, pose retrieval, visual tracking and more. The Random Sample Consensus (RANSAC) is the most popular heuristic technique to tackle this problem. However, RANSAC-like algorithms present a drawback regarding either the tuning of the number of samples and the threshold error or the computational burden. To relief this problem, we propose an estimator based on a metaheuristic, the Teaching–Learning-Based Optimization algorithm (TLBO) that is motivated by the teaching–learning process. We use the TLBO algorithm in the problem of computing multiple view relations given by the homography and the fundamental matrix. To improve the method, candidate models are better evaluated with a more precise objective function. To validate the efficacy of the proposed approach, several tests, and comparisons with two RANSAC-based algorithms and other metaheuristic-based estimators were executed.
Pengaruh Kualitas Jasa Perguruan Tinggi terhadap Loyalitas Mahasiswa Program Studi Ekonomi Syariah Universitas Dian Nuswantoro Semarang

Penelitian ini didasarkan pada permasalahan yang dihadapi oleh pihak universitas yang menunjukkan bahwa masih banyak mahasiswa yang tidak melakukan pendaftaran ulang pada semester I, II dan III yang menunjukkan ketidakloyalan mahasiswa pada Universitas Dian Nuswantoro Semarang, terutama pada Program Studi Ekonomi Syariah. Penelitian ini bertujuan untuk mengetahui: (a) pengaruh kualitas jasa terhadap kepercayaan, (b) pengaruh kualitas jasa terhadap kepuasan mahasiswa, (c) pengaruh kepercayaan terhadap kepuasan mahasiswa, (d) pengaruh kualitas jasa terhadap loyalitas, (e) pengaruh kepercayaan terhadap loyalitas, (f) pengaruh kepuasan mahasiswa terhadap loyalitas. Sampel penelitian ini adalah mahasiswa di Program Studi Ekonomi Syariah berjumlah 119 orang. Seluruh data yang diperoleh selanjutnya digunakan untuk analisis data. Teknik pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling dan pemilihan responden dengan random sampling. Populasi yang dipilih berdasarkan kriteria adalah mahasiswa aktif pada Program Studi Ekonomi Syariah Universitas Dian Nuswantoro Semarang yang telah melakukan registrasi semester 1 hingga semester 3. Penelitian ini menggunakan analisis Structural Equation Modelling (SEM). Hasil penelitian menunjukkan bahwa pengaruh kualitas jasa terhadap kepercayaan menunjukkan nilai koefisien positif dengan nilai C.R=2.490 dengan probabilitas 0.013, pengaruh kualitas jasa terhadap kepuasan dengan nilai C.R=2.788 dengan probabilitas 0.005, pengaruh kepercayaan terhadap kepuasan dengan nilai C.R=5.015, pengaruh kualitas jasa terhadap loyalitas dengan nilai C.R=2.649 dengan probabilitas 0.008, sedangkan pengaruh kepercayaan terhadap loyalitas dengan nilai C.R=2.030 dan probablitas 0.042, dan pengaruh kepuasan terhadap loyalitas adalah 2.723 dengan probabilitas 0.006. Bahwa kualitas jasa perguruan tinggi berpengaruh positif terhadap loyalitas mahasiswa Program Studi Ekonomi Syariah Universitas Dian Nuswantoro Semarang.
The effect of non‐ideal mixing on the number of steady states and dynamic behaviour for autocatalytical reactions in a CSTR

In this paper, we analyze the concentration multiplicity and dynamic behavior for an autocatalytical reaction, A + R (n + 1)R + products with an overall rate expression given by – γa= kcapcrr(p > 0 and r > 0) in a imperfectly mixed (Cholette's model) CSTR. We proved that non-ideal mixing had an effect on the number of steady states and dynamic behavior for the reaction orders r > 1 and r = 1. However, the above-mentioned effect does not happen for the reaction order r < 1. Furthermore, a simulated example was used to demonstrate our results. Dans cet article, on analyse la multiplicite de la concentration et le comportement dynamique pour une reaction autocatalytique, A + R (n + 1 )R + produits avec une expression de Vitesse globale par – γa = kcapcarr(p > 0 dans un reacteur agite continu (modele de Cholette) imparfaitement melange. On prouve que le melange non ideal a un effet sur le nombre d'etats permanents et le comportement dynamique pour les ordres d'application t > 1 et t = 1. Toutefois, l'effet mentionne ci-dessus ne se produit pas pour l'ordre de reaction t < 1. De plus, un exemple simule est utilise pour demontrer nos resultats.
Kinetics of the Sulfation of NaCl at Combustion Conditions

SO2 and NaCl react in the presence of O2 and water vapor to produce Na2SO4 and HCl. The sulfation of solid NaCl was studied in a fixed-bed reactor in the temperature range 400−600 °C where NaCl, Na2SO4, and their mixtures are solid. Other experimental conditions were as follows: 0.3−1.1% SO2, 3−11% O2, 0.5−20% H2O, 2 g of NaCl particles with surface areas of 0.13−0.29 m2/g, and a total gas flow rate of 15 cm3/s (at 20 °C). Under the experimental conditions employed, intraparticle diffusion and external mass transfer did not influence the overall rate, and true kinetic data were obtained. The sulfation rate of the solid NaCl was very slow, with only 0.5−1.1% of the NaCl converted to Na2SO4 in 3 h. The rate was not strongly temperature dependent, and the activation energy was 17 kJ/mol. The reaction rate depended on SO2 partial pressure but not on water vapor and O2 partial pressures. The observed reaction rate was consistent with a mechanism in which Langmuir-type adsorption of SO2 on the NaCl surface is .
Application of APP Technology to Promote Urban Low-Carbon Transportation

According to the Economist Intelligence Unit’s annual ranking of cities in the liveability index, bicycle penetration is one of the top indicators of liveability in the world. As one of the transportation tools of low-carbon life, bicycle can provide convenient travel tools and leisure activities, effectively reduce the burden of man-made development on the environment, meet the spirit of relaxation, is both pollution-free, economic, convenient and other advantages of transportation. The 21st century is an era of smart technology, and the rise of APP has changed people’s life pattern and the way of obtaining information. However, it has become a current trend to take people and environment as design considerations [1]. The successful bike APP can meet the needs of cyclists of different ethnic groups when riding, improve the convenience of cyclists, so as to attract more people to use bicycles and promote low-carbon and energy-saving lifestyle. Based on a literature review and a survey of 50 existing bicycle apps, this study concluded that the “seven major functional categories, two navigation modes and two interface aesthetic” of the apps were the most important factors affecting users’ preferences and download intention.
SILVER COORDINATION AND ORGANOMETALLIC COMPOUNDS: CLASSIFICATION AND ANALYSIS OF CRYSTALLOGRAPHIC AND STRUCTURAL DATA

Abstract This review summarizes the data for almost six hundred silver coordination and organometallic compounds, with the silver atom occurring in oxidation states of +1, +2, and two examples of +3 in a square-planar environment. The +2 oxidation state is found in digonal, square-planar, tetrahedral and hexa-coordinated environments. The +1 oxidation state is by far the most common in various geometries from two to seven. The nuclearity range from mono- to polynuclear utilizing a variety of ligand types. There are several examples of distortion isomerism, and a few examples of polymerization isomerism. Correlations between bond lengths, bond angles, ligating atom radius and silver oxidation state are discussed.
Selenate Adsorption from Water Using the Hydrous Iron Oxide-Impregnated Hybrid Polymer

Hybrid adsorbent, based on the cross-linked copolymer impregnated with hydrous iron oxide, was applied for the first time for Se(VI) adsorption from water. The influence of the initial solution pH, selenate concentration and contact time to adsorption capacity was investigated. Adsorbent regeneration was explored using a full factorial experimental design in order to optimize the volume, initial pH value and concentration of the applied NaCl solution as a reagent. Equilibrium state was described using the Langmuir model, while kinetics fitted the pseudo-first order. The maximum adsorption capacity was found to be 28.8 mg/g. Desorption efficiency increased up to 70%, and became statistically significant with the reagent concentration and pH increase, while the applied solution volume was found to be insignificant in the investigated range. Based on the results obtained, pH influence to the adsorption capacity, desorption efficiency, Fourier transform infrared (FTIR) and X-ray diffraction (XRD) analysis of loaded adsorbent, it was concluded that the outer- and inner-sphere complexation are mechanisms responsible for Se(VI) separation from water. In addition to the experiments with synthetic solutions, the adsorbent performances in drinking water samples were explored, showing the purification efficiency up to 25%, depending on the initial Se(VI) concentration and water pH. Determined sorption capacity of the cross-linked copolymer impregnated with hydrous iron oxide and its ability for regeneration, candidate this material for further research, as a promising anionic species sorbent.
Are the Knowledge Management Times “A-Changin’”?

: Knowledge management (KM) is no longer the new kid on the block. The term has been in use for over 30 years, it has been an established field of study for over 25, and this is the 21 st ECKM. But how much has KM changed in that time? This paper considers that question by briefly comparing articles dated 1999 in the Web of Science database with those in 2019, and then looking in depth at practical case studies of KM published in 2019 according to that same database. It is common knowledge that the technology available has improved vastly du ring KM’s history, but how has this impacted on other aspects of KM? Major themes from the earliest days of KM, such as repositories and communities of practice, are still highly visible in the literature. The approach taken in this paper is to use a people-processes-technology framework, separate the business processes from the knowledge processes that support them, and examine the linkages between the three elements of the people-processes-technology framework for both types of process. Current research shows processes to be the most studied of the three elements, especially the link whereby people help to design and then operate processes. The technological advances that have had most effect on KM are in technologies for general application. This is in contrast to the focus of technology research in KM in the 1990s, which had been on specific technologies for KM. Whether the latest technologies for artificial intelligence and analytics are general or specific to KM is a moot point, and probably depends on the background of the person you ask. The weakest current linkages are clearly those in which people should be helping to design the technology in use. Analytics developments in particular are as likely to be inflicted on the users/customers as to be designed by them. Artificial intelligence developments for KM in 2019 do not even include practical case studies, which is worrying.
ANALYSIS OF LEGO BRAND COMMUNICATION FOR THE AUDIENCE OF CHILDREN IN SOCIAL MEDIA

Social media have become not only a platform for contacts among individuals but also a channel through which companies can maintain constant two-way feedback with consumers. Companies around the world become increasingly aware of the potential of children in the market and increase their communication with the children's audience. The ability to influence a child’s choices through communication via social media could give companies an opportunity to increase their sales. The aim of the research is to assess the elements of social media communication for the LEGO brand and their influence on children’s audience in Latvia. The research concluded that nowadays it is important for a company to identify the right target audience, and only then, based on the company’s strategy, consider the need to use specific tools available in social media. By focusing their communication on children, companies also need to build a parallel relationship with their parents to make sure that the brand is relevant, safe and committed to the values that are relevant to the audience. Nowadays it is fruitful to focus on video content that creates a sense of presence and reality. LEGO is a good source of inspiration for companies in Latvia that want to create a strong brand story, thereby increasing their visibility through communication via social media. The research aim was achieved by identifying the theoretical basis, analysing the communication marketing activities of the LEGO brand focused on children, as well as conducting structured expert interviews and performing a
Content Analysis: Pop-Songs in the English Language Teaching Classes

Along with Hindi, English is given a status of an official language in India as per the Official Language Act, 1963. (Dept. of Official Language, India). English is studied in India as a Second Language and so English is the most sought after language in India. There are many university students who aspire to obtain a Bachelor’s and a Master’s degree in English. With a view to make the process of teaching English language interesting as well as enriching, some popular English songs were selected for the class of postgraduate students of English Language. It was realised, during and after the activity, that pop songs can be effectively used in an English Language class. Songs and music have a natural quality to induce interest and enthusiasm to the listeners/learners and so it was aimed to redirect the students’ attention to the linguistic varieties present in the songs. As the songs are easy to memorise, they effortlessly develop English vocabulary of the students. These songs are selected to learn the use of adjectives, figures of speech and idioms. The whole process of learning English Language through popular songs also helped students to improve their listening comprehension. The present paper is an attempt to study how content analysis of the selected pop songs is proved effective and impactful in the postgraduate class of English Language. The songs for the present study are selected from a popular album named Imagined Dragon.
Effectiveness of A Smartphone Directed Physical Activity Program on Cardiometabolic Disease Risk in Desk Based Office Employees. A Pragmatic, Two Arm, Parallel, Cluster Randomised Trial

LEVEL OF EVIDENCE: 2B SUMMARY Background. Excessive uninterrupted sitting is found to be associated with increased cardiometabolic disease risk in desk-based employees. Point-of-choice prompts using a smartphone application (SmPh-app) may be a feasible method of promoting physical activity and negating cardiometabolic disease risk. The study aims to investigate the effectiveness of SmPh-app directed walk reminders on cardiometabolic disease risk (Fasting Blood Glucose (FBG), aerobic capacity (VO2 max) and Heart Rate Variability (HRV) in desk-based office employees. Methods. In this pragmatic, two-arm, parallel, cluster randomised trial, desk-based employees (n=53) of five administrative offices (clusters) of a university were randomised to two groups: SMART group in which employees were provided with SmPh-app based (six) walk reminders during working hours and CONTROL group in which employees continued their usual work. As FBG, VO2 max and HRV data were skewed, nonparametric statistical analyses were used for intention-to-treat analysis. Results. Of 53 desk-based employees initially included in the trial, 47 completed the four weeks trial. Employees in SMART group showed a statistically significant difference in FBG (p < 0.001), VO2 max (p < 0.05) and nearly all domains (time, frequency and non-linear) of HRV (prevs. post-intervention) compared to CONTROL group. SMART group employees were found to reduce FBG by 8 mmol/dL (interquartile range (IQR): -12.25 to -3.75 mmol/dL), improve VO2 max by 2.23 ml/kg/min (IQR: 0.12 to 4.34 ml/kg/min) and improve HRV in all the domains compared to CONTROL group. Conclusions. SmPh-app based walk reminders improved FBG, functional capacity and HRV in desk-based office employees.
A COMPARISON OF THE SORPTION OF INORGANIC ORTHOPHOSPHATE AND INOSITOL HEXAPHOSPHATE BY SIX ACID SOILS

Summary A comparison has been made of the sorption of inorganic orthophosphate and inositol hexaphosphate by six acidic surface soils from arable land in north-east Scotland. The sorption of inorganic P increased with increasing quantities added and tended towards a maximum, but was never complete. In contrast, the organic P was completely sorbed up to an added quantity which varied with the soil, and above this level the absolute sorption decreased, probably due to the formation of soluble complexes involving iron and aluminium. The sorption sites were apparently the same for the two P forms and, particularly at high levels of addition, the organic P depressed the sorption of inorganic P. Inorganic P did not depress the sorption-of organic P, which was preferentially adsorbed. The results help to explain the extreme stability of inositol hexaphosphate in these soils.
Molybdenum/aluminum stacked metal taper etching for high-resolution thin-film transistor liquid-crystal display

Instability in molybdenum/aluminum taper etching for large, high-resolution thin-film transistor (TFT) liquid-crystal display (LCD) gate line was analyzed for stable TFT LCD manufacturing. The gate line edge shape is influenced by the passivity period that decreases the overetching period that is necessary for taper creation. Passivity is mainly created soon after molybdenum just-etching time when the aluminum/molybdenum area ratio is huge and the electric current concentrate to the molybdenum edge. Bubbles on the substrate play an important role to decrease the cathode/anode area ratio to decrease the electric current in molybdenum to suppress passivity formation. Wire breakdown measurement is effective to maintain substrate-wide taper gentle shape profile by sampling inspection.
Crystal growth and characterization of L-threoninium chloride and L-threoninium bromide, new nonlinear optical crystals

New crystalline salts of L-threonine, i.e. L-Thr.HCl, and L-Thr.HBr have been obtained from aqueous solution by slow evaporation technique. Infrared and Raman spectra of L-Thr.HCl and L-Thr.HBr were recorded and interpreted on the basis of crystal structure of L-Thr.HCl. The similarity of their IR and Raman spectra indicates similar structures. Nonlinear optical properties of the crystals were tested qualitatively by observation of second harmonic generation of Nd:YAG laser.