Miracle-dz/UniFAR-FTUs huggingface dataset:
A Vibrational Structural Analysis of Benzotriazole Adsorption and Phase Film Formation on Copper Using Surface-Enhanced Raman Spectroscopy

The adsorption of benzotriazole (BTAH) on copper in aqueous electrolytes is examined by means of a vibrational analysis utilizing surface-enhanced Raman spectroscopy (SERS) as a function of solvent deuteration, pH, and electrode potential in order to examine adsorbate speciation, surface bonding, and the potential-dependent onset of CuIBTA phase film formation. In acidic media at pH > 1, the monoprotonated acid BTAH constitutes the predominant adsorbate, being replaced by the diprotonated BTAH2+ species by pH 0, and the basic BTA- form in alkaline electrolytes. The analysis of adsorbate speciation is facilitated by the presence of several coupled ring modes yielding vibrational bands in the 1050−1350 cm-1 region that are sensitive to deuteration of the triazole ring nitrogen(s). Insight into the adsorbate molecular geometry and mode of surface attachment is obtained by examining the adsorption-induced alterations in frequency, bandwidth, and relative intensity of the various benzotriazole ring modes. Thes.
Comparative Study on Physicochemical Properties and Combustion Behaviors of Diesel Particulates and Model Soot

The physicochemical properties and combustion characteristics of model soot (i.e., Printex U) and diesel particulates with different origins were compared. Their elemental composition and structures were determined using several kinds of techniques including element analysis, infrared spectroscopy (IR), X-ray fluorescence spectroscopy (XRF), and X-ray photoelectron spectroscopy (XPS), and their different reactivities were measured by a number of temperature-programmed oxidation (TPO) experiments. It was found that the Brunauer-Emmett-Teller (BET) surface area of the particulates increased with the increase of the amount of adsorbed hydrocarbons. The main element components of model carbon were basically consistent with those of the practical diesel particulates, including C, H. O. etc. However, their element contents and surface properties were very different. The major ingredient of Printex U was carbon, and its content reached 92%; however, the carbon content of diesel particulates was about 65-74%, and the contents of O, H, and N in the diesel particulates were about 3-10 times as much as those of Printex U. TPO results showed that the diesel particulates could be more easily removed than Printex U by the combustion method, and the combustion temperatures for both Printex U and diesel particulates could be lowered when catalysts were present. Printex U is very well-suited as a kind of model soot for the study on the combustion performances of the soot fraction of diesel particulates.
The Influence of Student Engagement Towards Learning Achievement of School of Communication and Business Telkom University

This study aims to determine the effect of student engagement on student achievement in the Faculty of Communication and Business, Telkom University. The aspects studied were cognitive engagement, emotional engagement and behavioral engagement in terms of student engagement. And the value of GPA for learning achievement. The method in this study uses descriptive analysis techniques with simple linear regression analysis. To collect the sample using incidental sampling technique through a questionnaire. This questionnaire was distributed to 361 students of the Faculty of Communication and Business Telkom University. From the results of tests conducted, it is found that there is a relationship between student engagement on learning achievement. Where this relationship is perfectly positive correlation. And there is no significant effect between student engagement on learning achievement.
EFFECT OF MAGNESIUM‐RICH WATERS ON PHOSPHATE ADSORPTION BY CALCITE

We studied the adsorption of phosphate by calcite as influenced by various concentrations of Mg2+ in waters undersaturated and supersaturated with respect to CaCO3. At all Mg2+ concentrations, the amount of P adsorbed from supersaturated waters always exceeded that from undersaturated waters. The effect of Mg2+ in reducing P adsorption was more conspicuous at high than at low initial P levels. The Mg2+ concentration needed to affect a specific reduction in phosphate adsorption was higher in supersaturated than in undersaturated waters. Complete inhibition of P adsorption by CaCO3 was never obtained, even at the highest Mg2+ concentration (4 meq/L). The effect of Mg2+ in reducing P adsorption is ascribed to: (1) masking the adsorption sites on calcite; (2) disrupting the nucleation and crystallization of P precipitates; and (3) increasing the solubility of CaCO3 in the waters.
Effect of Pulse Plating Parameters on the Composition of Alumina/Nickel Composite

Nickel/aluminum oxide composite was electroformed in a sulfamate bath with 50 g/L of 0.05 μm aluminum oxide powder. Different plating methods, including direct current plating, periodic pulse plating, and periodic reversepulse plating, were used. With conventional direct current plating, the maximum particle inclusion in the nickel matrix remains about 2 wt %. However, much higher percentile particle inclusions were achieved when a specific pulse reversal plating technique was applied. The particle incorporation approaches the theoretical maximum when the deposit thickness per cycle approaches the particle diameter size at lower duty cycle. The highest particle incorporation achieved is 23% (by weight). Conceptual models interpreting the dramatic differences in the results of these plating methods are proposed.
Synthesis, DNA Binding, DNA Photocleavage and Antimicrobial Activity of [Co(bpy)2DMHBT]3+, [Co(dmb)2DMHBT]3+ and [Co(phen)2DMHBT]3+ Complexes

ABSTRACT Cobalt(III) polypyridyl complexes of the type [Co(bpy)2DMHBT]3+, [Co(dmb)2DMHBT]3+ and [Co(phen)2DMHBT]3+ (where DMHBT = 11,13-dimethyl-13H-4,5,9,11,14-hexa aza-benzo[b] triphenylene-10,12-dione; bpy = 2,2′-bipyridine; dmb = 4,4′-dimethyl-2,2′-bipyridine; phen = 1,10-phenanthroline) have been synthesized and fully characterized by elemental analysis, IR, UV-Visible spectra, 1H, 13C-NMR and Mass spectra. The results of absorption and emission titrations as well as thermal temperature and Viscosity measurement studies reveal that [Co(bpy)2DMHBT]3+, [Co(dmb)2DMHBT]3+, and [Co(phen)2DMHBT]3+ are moderate to strong binders of Calf Thymus DNA. An experimental result indicates that the three complexes can intercalate in to DNA base pairs. Under the identical conditions the super-coiled pBR 322 DNA photo-cleavage activities of these three cobalt(III) complexes follow the order:[Co(phen)2DMHBT]3+ > [Co(bpy)2DMHBT]3+ > [Co(dmb)2DMHBT]3+. These complexes are also found to have good antimicrobial activity.
Analysis of Remedial and Enrichment of Mathematics Teaching in a Junior High School in Bandung

Remedial and enrichment are processes that must be carried out by teacher based on the results of the assessment (as, of, and for learning). The importance of remedial and enrichment is to help and facilitate all the needs of students including achieving mastery learning and maximizing students's competency. This study aims to analyze remedial and enrichment processes carried out by mathematics teacher in a junior high school in Bandung. The method of this study was qualitative with descriptive approach. The data were collected by using observation, interview, and literature review. The subject of this study was a seven grade teacher of a junior high school. The result of the study shows that the teacher conducts remedial and enrichment conditionally. Remedial techniques used by the teacher are giving assignments, and/or giving remedial teaching. Furthermore, enrichment technique used by teacher is giving non-routine tasks for students. The implementation of the remedial and enrichment is not consistent for each event (daily assessment) because of some constraints, such as availability of time. Besides that, the teacher applies same strategy as before (not in remedial and enrichment)
Intraoperative completion studies in carotid endarterectomy: systematic review and meta-analysis of techniques and outcomes

Background Declining perioperative stroke and death rates over the past 3 decades have been paralleled by an increasing use of intraoperative completion studies (ICS) following carotid endarterectomy (CEA). Techniques applied include angiography, intraoperative duplex ultrasound (IDUS), flowmetry, and angioscopy. This systematic review and meta-analysis is aiming on providing an overview of techniques and corresponding outcomes. Methods A PubMed based systematic literature review comprising the years 1980 through 2020 was performed using predefined keywords to identify articles on different ICS techniques. Pooled analyses and meta-analyses estimating risk ratios (RR) and 95% confidence intervals (CI) were performed to compare outcomes of different ICS modes to nonapplication of any ICS. I2 values were assessed to quantify study heterogeneities. Results Identification of 34 studies including patients undergoing CEA with angiography (n=53,218), IDUS (n=20,030), flowmetry (n=16,812), and angioscopy (n=2,291). Corresponding rates of perioperative stroke were 1.5%, 1.8%, 3.6%, and 1.5%, perioperative stroke or death occurred in 1.7%, 1.9%, 2.2%, and 2.0%. Intraoperative surgical revision rates were 6.2%, 5.9%, and 7.9% after CEA with angiography, IDUS, and angioscopy, respectively. Compared to nonapplication of any ICS, the pooled analysis revealed angiography to be significantly associated with lower rates of stroke (RR 0.47; 95% CI, 0.36–0.62; P<0.0001) and stroke or death (RR 0.76; 95% CI, 0.70–0.83; P<0.0001). IDUS was significantly associated with lower rates of stroke (RR 0.56; 95% CI, 0.43–0.73; P<0.0001) and stroke or death (RR 0.83; 95% CI, 0.74–0.93; P=0.0018), whereas angioscopy showed a significant association with a lower stroke rate (RR 0.48; 95% CI, 0.033–0.68; P=0.0001), but no effect on the combined stroke or death rate. Angioscopy was associated with a higher intraoperative revision rate compared to angiography (RR 1.29; 95% CI, 1.07–1.54; P=0.006). The meta-analyses confirmed lower perioperative stroke or death rates for angiography (RR 0.83; 95% CI, 0.76–0.91) and IDUS (RR 0.86; 95% CI, 0.76–0.98) compared to non-application of any ICS, whereas flowmetry showed no significant association. Conclusions This study represents the first systematic literature review and meta-analysis on usage of ICSs in CEA. Data strongly indicate a significant beneficial effect of angiography, IDUS, and angioscopy on perioperative CEA outcomes. Any carotid surgeon should consider implementation of ICSs in his routine armamentarium.
A Molality-Based BET Equation for Modeling the Activity of Water Sorbed on Clay Minerals

The Brunauer-Emmett-Teller (BET) theory models the effective specific surface area and water content of solids as a function of the relative vapor pressure of water. A modified form of the BET equation has been used successfully to model water activity in concentrated electrolyte solutions as a function of electrolyte concentration. This modified form, referred to here as the Stokes-Robinson BET model, is based on the electrolyte molality rather than on the mass of solute sorbed. The present study evaluates the Stokes-Robinson form of the BET equation to model water-sorption data on two smectites with different layer charges. One smectite was saturated with Na+ and another with Na+, Ca2+, or Mg2+. These results are compared to the Stokes-Robinson BET results of aqueous electrolyte solutions. Given published data on cation exchange capacities and water-vapor sorption isotherms for various clays, the molality of the aqueous phase in contact with the clay surface is calculated and related to water activity. The Stokes-Robinson BET model was found to describe accurately the water activity as a function of cation molality below water activities of 0.5 for the smectites. Good relative agreement was obtained between the number of water binding sites predicted by the model and the experimental data reported in the literature for other smectites. Water molecules were found to have a significantly greater affinity for montmorillonite than electrolyte solutions with the same cation molality as the montmorillonite interlayer. This modified BET approach simplifies water-activity modeling in highly saline environments because the same equation can be used for both the liquid- and mineral-surface phases.
Synthesis, properties and structural characterization of an intermolecular photosensitive complex: (HGly-Gly)3PMo12O40·4H2O

The first heteropoly acid–dipeptide complex, (HGly-Gly)3PMo12O40·4H2O, was synthesized and characterized by elemental analysis, IR, UV, 1H NMR and single crystal X-ray diffraction. The X-ray crystallographic study showed that the crystal structure was constructed from N–H⋯O and O–H⋯O hydrogen bonds among the (HGly-Gly)+, H2O and PMo12O403− units. This structure represents a model interaction between polyoxometalates and proteins. The complex has photosensitivity under irradiation by sunlight. The fluorescent activity of this compound is also reported.
Coupled chemistry–climate model simulations for the period 1980 to 2020: Ozone depletion and the start of ozone recovery

Two simulations of a coupled chemistry–climate model are completed for the period 1980 to 2020, covering the recent past during which extensive satellite ozone and temperature data exist, and covering the near future when ozone levels are expected to begin to recover. In the first simulation, Rayleigh friction is used to decelerate the polar night jet. In the second simulation, a parametrized spectral gravity‐wave forcing scheme is included. This has the effect of considerably reducing the model temperature bias in the polar regions and weakening the polar night jet. In the simulations the concentrations of chlorine, bromine and the well‐mixed greenhouse gas concentrations are specified in accordance with past observations and future projected values. The calculated trends in temperature and ozone in the two runs are similar, indicating that model internal variability does not have a significant impact and suggesting that the trends arise largely from changes in external parameters. Typically, after about the year 2000, the trend in the modelled annually averaged ozone changed from a decrease to a small increase. The change was found to be statistically significant in the upper stratosphere and in the lower stratosphere over Antarctica, which are the regions most affected by halogen chemistry. Globally averaged temperature results suggest that the best place to look for future atmospheric change is in the upper stratosphere. Decadally averaged statistics are used to estimate the timing of the start of recovery of total ozone. The simulations indicate no significant further ozone loss from the current atmosphere with minima typically occurring in the years from 2000 to 2005, except in the spring Arctic where ozone values continued to decrease slowly until the end of the integrations. One major problem with the detection of the start of ozone recovery, is that the concentrations of halogens are expected to reduce only slowly from their peak value. Hence, no substantial recovery is simulated before the year 2020. The difficulty in detecting the start of ozone recovery suggests the need to continue the model simulations until the second half of this century which would also help to establish the timing of complete ozone recovery. © Crown copyright, 2003. Royal Meteorological Society
Ecological quality in freshwater streams is reflected across all three domains of life

Regular assessment of surface waters to monitor ecological quality has become an increasing priority in recent years. Stream water quality assessment conventionally relies on taxonomic expertise, which can be costly and time-consuming. Next-generation sequencing approaches for high-throughput analyses of diverse ecosystems are increasingly used for environmental monitoring, and it has recently been shown that this methodology has a large potential for stream water quality assessments. In the present study we assess the potential of an amplicon sequencing based approach that simultaneously targets the 16S (prokaryotes) and 18S (eukaryotes) rRNA genes to capture a snapshot of the in the entire ecosystem composition. Results based on the analysis of 50 selected Danish streams showed that the domain-specific profiles can separate the samples into their respective ecological quality categories. Furthermore, it was possible to extract potential indicator organisms from all three domains associated to a single ecological status category, low and high quality ecosystems, as well as those with a high correlation to ecological status across all categories.
Studies on Hot Air and Microwave Vacuum Drying of Wild Cabbage

Abstract Wild cabbage was dehydrated by a combination of hot-air drying and microwave vacuum drying. It showed that the total drying time was reduced by about half while the retention values of the nutrient components and chlorophyll were improved significantly. Microwave/vacuum-dried products had a more porous texture. Finally, microwave drying showed effective bactericidal action in the product with acceptable quality of dried product.
Optimization of Amorphous Silica Nanoparticles Synthesis from Rice Straw Ash Using Design of Experiments Technique

In this study, a chemical method of dissolution-precipitation was applied to produce amorphous silica nanoparticles from rice straw ash (RSA; the waste material of rice cultivation. The morphology, particle size, structure, and area of specific surface of synthesized amorphous silica nanoparticles were evaluated using transmission electron microscopy (TEM), x-ray diffraction analysis (XRD), and BET method to measure the specific surface area of materials. In addition, chemical composition of RSA used and the synthesized silica nanoparticles was studied by x-ray fluorescence (XRF) spectroscopy. The atomic concentration of synthesized silica was determined by x-ray photoelectron spectroscopy (XPS). The effects of sodium hydroxide concentration, precipitation reaction temperature, and precipitation reaction duration on the area of specific surface were determined through design of experiments (DOE) technique. Results depicted that silica nanoparticles with particle size of 10–15 nm were successfully synthesized. Average area of specific surface and purity were 327 m2/gr and 99.5%, respectively. The interactive influence of temperature and duration had the highest effect on the average area of specific surface.
Crystal structure of bis[N-cyclohexyl-4-nitrosalicylaldiminato]copper(II), Cu(C13H15N2O3)2

Abstract C26H30CuN4O6, triclinic, P1̅ (no. 2), a = 10.765(2) Å, b = 11.113(2) Å, c = 12.441(2) Å, α = 113.746(2)°, β = 104.388(2)°, ϒ = 94.983(2)°, V = 1290.0 Å3, Z = 2, Rgt(F) = 0.066, wRref(F2) = 0.123, T = 298 K.
The Effect of Pressure on Deuterium-Hydrogen Fractionation in High-Temperature Water

The pressure dependence of deuterium-hydrogen (D-H) fractionation in water to 500°C and 200 megapascals has been calculated from high-temperature, high-pressure spectroscopic data. Pressure effects have a maximum at the critical temperature of water (20 per mil between 22 and 200 megapascals). Even larger effects are predicted for vaporlike densities from molecular dynamics simulations and molecular orbital calculations. Pressure effects explain many of the large discrepancies in published mineral-water D-H fractionation curves. Possible applications to natural examples include mineral-water isotope geobarometry.
Adsorption of O2, H2, CO, NH3, and NO2 on ZnO Nanotube: A Density Functional Theory Study

Using density functional theory (DFT), we have investigated the structural and electronic properties of a prototype ZnO (6,0) zigzag single-walled nanotube (SWNT) with and without oxygen vacancy (VO), as well as its potential application as a sensor for gas molecules O2, H2, CO, NH3, and NO2. The DFT calculation shows that the defect-free ZnO (6,0) SWNT is semiconducting with a direct band gap larger than that of bulk ZnO. By introducing the VO defects, localized impurity states are induced above the valence band maximum while the Fermi level is lifted. As such, the defect-containing ZnO (6,0) SWNT becomes an n-type semiconductor. On the sidewall of a defect-free ZnO (6,0) SWNT, O2 and H2 molecules are physisorbed while CO, NH3, and NO2 are molecularly chemisorbed. With the VO defects, the binding interaction between gas molecules and the ZnO nanotube becomes stronger. The electron-donor molecules (CO and NH3) tend to enhance the concentration of major carriers (electrons), whereas the electron-acceptor m.
The Stock Price Puzzle: Evidence From Construction and Building SectorListing inIndonesia Stock Exchange

Organizations with exceptionally fluctuational stock value changes cause financial specialists to delay to make speculations on them. It, thusly, make the organizations try to keep stock costs being steady and rising. The reason for the exploration is to figure out what isthe most factor impact on stock costs. The populace incorporates producing organization recorded in BEI, while the examples were picked utilizing a purposive strategy. In light of measurable investigation, it was discovered an association between return on resources, winning per share, current proportion, and obligation proportion against value stock cost. To close, this exploration shows the predominant factors affecting the stock value is the return on resources, current proportion, gaining per offer, and obligation value proportion
Clustering feedback data with Logistic Network Lasso

Feedback gathered from university courses' are the most effective tool given to students to shape lectures according to their needs and difficulties. Nonetheless, feedback is often neglected by both students and teachers, even if studies show how feedback can improve the quality of the student's experience as well as being an essential tool for the teacher's development. With the improvement in Natural Language Processing and the Machine Learning field, it is now possible to analyze text and effortlessly gather insights. These insights ease the professor's work when faced with the task of reading feedback which, depending on the course, can be thousands. The Logistic Network Lasso is a novel semi-supervised machine learning algorithm that has been applied in the binary classification scenario and compared to algorithms such as Maxflow and Belief Propagation, resulting in overall increased accuracy. This thesis aims to answer two research questions: Firstly, the performance of various standard clustering algorithms such as K-Means, Affinity Propagation, Spectral Clustering and DBSCAN, are compared using different Natural Language Processing techniques to encode university courses' feedback, showing which embedding techniques are better in terms of clustering feedback data. Secondly, the standard clustering algorithms are compared with the Logistic Network Lasso incorporating the best embedding techniques discovered during the first research question. Applying the Logistic Network Lasso as a clustering algorithm resulted in up to a 30% increase in the external indexes clustering performance metrics that were analyzed.
On the anomalous temperature dependence of the magnetic moment of cobalt clusters

Cluster beam experiments using Stern–Gerlach type measurements yield information about the magnetic properties of transition metal clusters. One of the intriguing results to have come out of such measurements is the observation of a magnetic moment in cobalt clusters that increases with temperature up to about 500 K, before decreasing as the bulk Curie temperature is approached. We argue in this paper that this behaviour can be understood as an artifact of the method of extracting results from raw experimental data, and that the origin of the anomalous behaviour lies in the neglect of the magnetic anisotropy in the analysis.