Miracle-dz/UniFAR-FTUs huggingface dataset:
EFEKTIVITAS MODEL PEMBELAJARAN INKUIRI TERBIMBING TERHADAP KETERAMPILAN PROSES SAINS DAN PEMAHAMAN KONSEP FISIKA SISWA MA RIYADHUS SOLIHIN

Penelitian ini bertujuan untuk mengetahui efektivitas penggunaan model pembelajaran inkuiri terbimbing dalam meningkatkan keterampilan proses sains dan pemahaman konsep fisika. Jenis penelitian yang dunakan dalam penelitian ini adalah quasi-experiment research menggunakan pretest posttest control group design. Popolasi dalam penelitian ini adalah semua siswa kelas X MA Riyadhus Sholihin teknik pengambilan sampel menggunakan cluster random sampling kelas X MIPA 1 sebagai eksperimen dan kelas X MIPA 3 sebagai kelas kontrol. Keterampilan proses sains diukur dengan menggunakan tes esay untuk keterampilan proses sains intelektual dan observasi untuk mengukur keterampilan proses sains manual. Pemahaman konsep fisika siswa diukur dengan menggunakan tes objekti. Data hasil penelitian dianalisis dengan menggunakan Uji MANOVA dan korelari Pearson. Pemahaman konsep fisika siswa diukur dengan menggunakan soal tes. Berdasarkan hasil penelitian menunjukkan bahwa model pembelajaran inkuiri terbimbing efektif untuk meningkatkan keterampilan proses sains dan pemahaman konsep fisika siswa di kelas X MA Riyadhus Sholihin pada materi Suhu dan kalor.
The Effect of Tungstate and Ethanolamines Added in Tap Water on Corrosion Inhibition of Ductile Cast Iron Pipe for Nuclear Power Plants

Cast iron is primarily used in buried piping to transport water in the fire protection system of nuclear power plants; ductile cast iron is generally used for domestic nuclear power plants. In general, the fluid used as fire-extinguishing water in such fire protection systems is tap water, and corrosion inhibitors are not currently added. In this study, the synergistic effect of an adsorption barrier (monoethanolamine) and oxidized film in an environment with a corrosion inhibitor (tungstate) is examined, and the corresponding passivation properties are presented. An immersion corrosion test and electrochemical test in tap water to which only tungstate was added showed suppression of corrosion compared to molybdate at the same concentration. The polarization resistance value of a passivation film in tap water mixed with monoethanolamine and tungstate showed better results than that of the molybdate control. A surface analysis in mixed addition tap water also demonstrated that oxygen ions were sufficiently distributed, including at some spheroidized graphite sites, when tungstate was added compared to molybdate. In addition, the amount of tungsten ions adsorbed on the surface was larger than that of molybdenum ions, and it was confirmed that tungsten ions were evenly distributed over the entire surface.
Multispecies Fresh Water Algae Production for Fish Farming Using Rabbit Manure

The current study aims at determining the optimal usage conditions of rabbit manure in a multispecies fresh water algae production for fish farming. This purpose, the experimental design is made of six treatments in triplicate including one control T0, T1, T2, T3, T4, T5 corresponding respectively to 0, 300, 600, 900, 1200, 1500 g/m3 of dry rabbit manure put into buckets containing 40 L of demineralized water and then fertilized. The initial average seeding density is made of 4 × 103 ± 2.5 × 102 cells/L of Chlorophyceae, 1.5 × 103 ± 1 × 102 cells/L of Coscinodiscophyceae, 3 × 103 ± 1.2 × 102 cells/L of Conjugatophyceae, 2.8 × 103 ± 1.5 × 102 cells/L of Bascillariophyceae, and 2.5 × 103 ± 1.4 × 102 cells/L of Euglenophyceae. During the experiments, the effects of these treatments on abiotic and biotic parameters (chlorophyll-a concentration, phytoplankton density and algal density) of different production media were monitored. Results show that average density of different phytoplankton classes is higher in treatment T5 (7.91 × 108 ± 6.78 × 107 cells/L) followed by T4 (5.56 × 108 ± 4.27 × 107 cells/L), T2 (3.87 × 108 ± 3.10 × 108 cells/L), T3 (3.79 × 108 ± 3.18 × 108 cells/L, with high significant difference (F (4,84) = 5, 35, p < 0.00). Chl-a concentration varied from 0.07 ± 0.05 mg/L (T0) to 14.47 ± 12.50 mg/L (T5) with high significant differences observed among treatments (F (5,83) = 3,09, p = 0,01). In addition, fourteen (14) species belonging to eight (8) families, five (5) classes and three (3) phyla were identified in our different production media. During the culture, Chlorophyceae class was the most represented in all treatments with 5 species (36% of the specific diversity) while Euglenophyceae class (7%) was the least represented with only one (01) species. According to these results, treatments T2 (600 g/m3), T3 (900 g/m3) and T4 (1200 g/m3) of dry rabbit manure are those worthy to be recommended as an alternative for a low cost massive production of multispecies freshwater algae that can be easily used by freshwater zooplankton and macroinvertebrates. Indeed, despite the best performances that it shows, treatment T5, presents important eutrophication’s risks.
Design a Novel User based Authentication System that Identify by User and Device

Smart City is promising to improve working environments in terms of quality, competitiveness and amenities. However, new data security problems emerge as a result of the evolving capabilities of Smart Cities. One of the main problems is the use of continuous and non-invasive authentication techniques, since conventional authentication approaches have major limitations. Thus, to overcome these shortcomings, the key contribution of this paper is the design and implementation of a continuous and intelligent authentication architecture for Smart City in the IOT environment. The architecture is cloud computing focused and users are authenticated by machine learning approaches based on the behaviours. To design a modern user-based authentication method, where user and device recognition.
Characterization of a Novel Flat‐Panel Airlift Photobioreactor With an Internal Heat Exchanger

A novel flat-panel airlift photobioreactor with an internal heat exchanger (FPA-IHE) separating the riser and downcomer zones was characterized. The proposed FPA-IHE has working volume of 2.2 L, height of 450 mm and light path of 50 mm. The overall heat transfer coefficients for the internal heat exchanger and the external surface of the reactor were 47.0 W m–2K–1 and 7.1 W m–2K–1, respectively. The mass transfer coefficient increased with an increase in the volumetric power input until a value of 0.01 s–1. The mixture time decreased with the increase in the superficial gas velocity of the riser. The circulation time ranged from 5 to 6 s. The specific growth rates of Dunaliella tertiolecta and Chlorella minutissima were high, 0.77 d–1 and 0.67 d–1, respectively; thus, the FPA-IHE photobioreactor is a promising environment for the development of highly productive processes using microalgae.
Mechanism of the Electrocrystallization of Nickel and Cobalt in Acidic Solution

This mechanism is studied by means of the analysis of the polarization characteristic and of the cathodic impedance. The results, obtained from an acidic solution of the Watts type, strongly support the hypothesis that the cathodic reaction occurs in several steps probably involving an adion . In the case of nickel, the results can be accounted for by a mechanism implying two successive transfer reactions in which acts as an intermediate compound and not as a catalyst. The presence in the electrolyte of either sodium benzenesulfonate or 2‐butyne 1,4‐diol (two inhibitors commonly used for the electrocrystallization of nickel) specifically modifies the kinetic parameters of transfer reactions and diminishes the capacity of the electrochemical double‐layer. This capacity is defined thanks to a least‐squares analysis of the cathodic impedance.
Prediction of electron paramagnetic resonance g values using coupled perturbed Hartree–Fock and Kohn–Sham theory

A method for calculating the EPR g-tensor based on coupled perturbed Hartree–Fock (HF) and density functional theory (DFT) is presented. The one-electron molecular orbitals of a spin- unrestricted Slater determinant are calculated up to first order in the applied magnetic field. The g-tensor is evaluated as a mixed second derivative property with respect to the applied field and the electron magnetic moment. Thus, spin-polarization and spin–orbit coupling are simultaneously included in the calculation. The treatment focuses on orbitally nondegenerate molecules but is valid for a general ground state spin S and, for the first time, it is possible to include hybrid density functionals in the treatment. The relativistic mass and diamagnetic gauge corrections are also considered. An implementation of the theory is described. Extensive numerical calculations for a series of small molecules are reported with the Hartree–Fock (HF) method, the local density approximation (LSD), the generalized gradient approximat.
Investigating Back-Translation in Tibetan-Chinese Neural Machine Translation

In recent years, the proposal of neural network has provided new idea for solving natural language processing, and at the same time, neural machine translation has become the frontier method of machine translation. In low-resource languages, due to the sparse bilingual data, the model needs more high-quality data, and the translation quality fails to achieve the desired effect. In this paper, experiments on neural network machine translation based on attention are conducted on Tibetan-Chinese language pairs, and transfer learning method combined with back translation method is used to alleviate the problem of insufficient Tibetan-Chinese parallel corpus. Experimental results show that the proposed transfer learning combined with back translation method is simple and effective. Compared with traditional translation methods, the translation effect is significantly improved. From the analysis of translation, it can be seen that the citation of Tibetan-Chinese neural machine translation is smoother, which is greatly improved compared to the translation without back translation. At the same time, there are common deficiencies in neural machine translation such as inadequate translation and low translation loyalty.
Necessity of Quantitative EEG for Daily Clinical Practice

The two main problems in the daily clinical practice of EEG are i) its under-use dedicated mainly to epilepsy and ii) subjectivity in de visu analysis. However, both problems can be overcome by using numerical tools in clinical practice that broaden the scope and introduce real objectivity to bioelectrical measurements. We have developed a method for quantitative EEG (qEEG) for daily use based on the homeostatic foundation of EEG. This method is robust, easy, and not time consuming and is arranged in two branches: the analysis of the spectral composition in each channel and synchronization. Notably, channels are arranged in differential mode. Since 2016, we have used this method for more than 4100 EEGs from scalp recordings in outpatients, epilepsy evaluation, and evaluation and monitoring in the intensive care unit (ICU). We have been able to identify numerical properties that are not visually evident in several pathologies, including COVID-19 in patients suffering encephalopathy, and have performed diagnosis in ICU patients and differentiation between epileptic and non-epileptic spells or minimum cognitive states. The use of numerical variables across successive recordings in the same patient has proven to be of great utility. We propose that qEEG use should be expanded globally for daily clinical practice.
Potential Availability of Fertilizer Selenium in Field Capacity and Submerged Soils

The potential availability (E) and partitioning (K d ) of Se added to three soils as elemental Se (Se 0 ), sodium selenite (SeO 3 2― ), and sodium selenate (SeO 4 2― ) were measured by isotopic dilution using either 7S SeO 3 2― or 75 SeO 4 2― . The soils were kept either submerged or at 80% water-holding capacity for either 15 or 60 d. Both K d and E values were controlled by the type of Se, soil moisture content, and time after application. The K d values for SeO 3 2― were largely controlled by soil type, with the soil having the lowest pH and highest concentrations of oxalate-extractable Al and Fe having the highest K d values. The K d values for SeO 4 2― , on the other hand, were largely influenced by the incubation period, and to a lesser extent soil type and moisture conditions. Selenate K d values decreased with incubation and were higher under submerged conditions. The availability of Se 0 as measured by concentrations of labile Se species was low due to limited oxidation to SeO 3 2― or SeO 4 2― . Elemental Se is therefore not suitable for preplant Se fertilization of lowland rice (Oryza sativa L.) because it is not readily oxidized. In the submerged soils, concentrations of labile SeO 3 2― and SeO 4 2― were also low, with >80% of the Se added as either SeO 3 2― or SeO 4 2― being fixed into nonlabile pools, probably through reduction to Se 0 . Rates of oxidation of Se 0 will play a critical role in determining whether reduced Se 0 formed in submerged soils after fertilization will contribute to plant Se uptake through oxidation either during field drainage before harvest or in the rice rhizosphere.
An Improved Biocompatible Probe for Photoacoustic Tumor Imaging Based on the Conjugation of Melanin to Bovine Serum Albumin

A novel, highly biocompatible, well soluble melanin-based probe obtained from the conjugation of melanin macromolecule to bovine serum albumin (BSA) was tested as a contrast agent for photoacoustic tumor imaging. Five soluble conjugates (PheoBSA A-E) were synthesized by oxidation of dopamine (DA) in the presence of variable amounts of BSA. All systems showed the similar size and absorbance spectra, being PheoBSA D (DA:BSA ratio 1:2) the one showing the highest photoacoustic efficiency. This system was then selected for the investigations as it showed a marked enhancement of the photoacoustic (PA) contrast in the tumor region upon iv injection. Biodistribution studies confirmed the accumulation of PheoBSA D within the tumor region and showed fast renal elimination, lack of cell toxicity, and good hemocompatibility. A higher PA contrast enhancement was observed in the case of PC3 prostate tumor xenograft when compared to the TS/A breast one, likely reflecting different vascularization/extravasation properties between the two tumor murine models. The improved PA properties shown by PheoBSA D allowed to set up a 3D dynamic contrast-enhanced (DCE) approach that demonstrated a persistent increase of the PA signal in the tumor region for a long period. Overall, the herein reported results demonstrate that PheoBSA D is a promising blood pool contrast agent for in vivo PA imaging, particularly useful for the set-up of 3D DCE-PA approaches to monitor tumor vascular properties.
Foil coverage of a crawl-space floor : Measurements and modeling of radon entry

The mitigative impact of covering the floor of a crawl space with a membrane has been studied under well-defined and controlled conditions, The measurements have been done with a homogeneous column of dry sand covered with a sheet of polyethylene foil. An air-filled volume on top of the column simulates a crawl space. The experiments mainly concern long-term measurements of the crawl-space radon concentration in combination with steady-state diffusive and combined advective and diffusive transport through the sand column and crawl space. The experimental data are analyzed with both simplified mass-balance models for radon entry into the crawl space and with a two-dimensional numerical model based on a finite-difference approach. In all experiments the influence of atmospheric pressure variations is clearly present. For most experiments the agreement between calculations, which make use of independently measured transport parameters for both sand and foil, and measurements is within 10%. However, the discrepancy is larger for experiments with continuous advective transport from the crawl space to the sand, With undamaged foil, the calculations overestimate the measurements by 20%. Reversely, with an opening in the center of the foil; the calculations underestimate the measurements by 20-40%. The results show that under controlled conditions radon transport from a foil-covered sand column into a crawl-space can be described within 40% on basis of separately measured parameters.
Relationship between the application of IFRS and the accounting information quality in Jordan

The study aimed to find out the relationship between the application of international financial reporting standards (IFRS) and the accounting information quality (AIQ) in Jordan. The research data was collected from 59 industrial companies listed on the Amman Stock Exchange (ASE) between 2010 and 2018. Panel data was used to measure an independent variable (the application of IFRS), and a questionnaire (a 5-point Likert scale) was applied to measure a dependent variable (AIQ). Multiple regression was used to test hypotheses. The study concluded that the application of IFRS in terms of earnings management and trading volume had a positive relationship with AIQ. Finally, the study recommended validating the transparency of financial reporting to improve the efficiency of the Jordanian financial market.
Phylogenetic and Ultrastructural Characterization of Bed Bugs in the Southwest of Iran

Background: Bed bugs belong systematically to Order Hemiptera; Suborder Heteroptera; Family Cimicidae are of public health importance as ectoparasites of mammals and birds, however, only a few species are the putative ectoparasites of humans. Bed bugs are a wingless bloodsucking hemipterous bug (Cimex spp.) sometimes infesting houses and especially beds and feeding on human blood. Correct species identification is very important in order to design targeted strategies for surveillance and control of bed bugs in a given area. Methods: Adult bed bugs were collected from houses located in the southwest of Iran. The specimens were morphologically identified to the species level and then confirmed using molecular methods. Results: The mtDNA 16S rRNA sequences obtained from the specimens, and phylogenetic tree derived, showed that all the sequences belong to Cimex hemipterus. The Disparity Index among results showed that all the specimens were of a heterogeneous population. To the best of our knowledge, the leg structure of this species has not previously been documented and this is the first report of an open-closed rack system in the legs of C. hemipterus.Conclusions: Previous studies claimed that C. lectularius is the abundant species of Cimicids in Iran. But this investigation showed that C. hemipterus is the prevalent species in the southwest of Iran.
A reinvestigation of the crystal structure of acetylcholine bromide

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Does Entrepreneur Invest More in Environmental Protection When Joining the Communist Party? Evidence from Chinese Private Firms

ABSTRACT This study examines the role of affiliation with the ruling Communist Party in corporate environmental investment. Using a nationwide survey of Chinese private firms, we find that the Party membership of private entrepreneurs has a positive effect on corporate environmental investment, which suggests that Party status severs as a communication bridge and goal coordinator between the government and firms, thus encouraging them to participate more in environmental activities. Furthermore, this effect is more prominent when firms are located in regions with stricter legal supervision and lower levels of corruption, involve in a government-created business association and have better performance in profitability. Mechanism tests show that entrepreneurs with Party membership will promote firms to form a closer government-firm interaction and develop a better sense of social responsibility. Our findings highlight the entrepreneur’s Party status as an important driver of environmentally responsible corporate decision-making.
Numerical model for interactions between shallow water wave and continuous submerged porous structures

Submerged porous breakwater in shallow estuarine environments is considered to have the potential to provide shoreline protection as well as offshore structures. The research aims to address how submerged porous structures can effectively attenuate wave energy in shallow waters. In this paper, the wave generation library waves2Foam is used to generate waves. A series of numerical experiments are conducted taking into account different physical parameters of porous structures and wave factors.
Electrochemistry and Photoetching of n‐GaN

The (photo)electrochemical behavior of n-GaN[0001] in various aqueous solutions was studied using rotating-disk voltammetry, cyclic voltammetry, and electrical impedance measurements. It was found that the bandedges of the semiconductor shift over 60 mV/pH unit, indicating acid-base equilibria at the interface. In H 2 SO 4 and KOH solutions, the photocurrent under anodic bias is associated with the oxidation of the semiconductor according to a three-equivalent reaction, leading to dissolution and roughening of the surface. In 1.2 M HCl solutions, n-GaN is stabilized for anodic decomposition due to the competing oxidation of Cl - ions. In the presence of oxalic acid and citric acid, anodic photocurrent multiplication was observed. Under cathodic polarization in the dark, Fe 3+ , Ce 4+ , HIO 3 , in acid medium and Fe(CN) 3- 6 in alkaline medium are electrochemically reduced at a diffusion-limited rate. In I M KOH a high reactivity for O 2 /H 2 O reduction is observed, explaining why n-GaN can be photoetched under open-circuit conditions in this solution.
Fast Track Smoothing Algorithm for Underwater Target Tracking Based on KD Tree

A fast-track smoothing algorithm based on the KD Tree is proposed to address the problem of state estimation in underwater multi-target tracking. For multi-target tracking, the multi-Bernoulli filter becomes intractable due to the high-dimensional nature of the posterior. This problem can be overcome by the particle filter (PF), which approximates the posterior by a set of weighted samples (“particles”). The probability distribution of the multi-Bernoulli algorithm based on this algorithm contains a series of particles with weights. Therefore, while smoothing it, the state transfer probability of each particle must be computed, and the state transfer function must be calculated, which is related to the difference in states between the k-1 moment and the k moment, we refer to this difference as the state distance. However, the KD Tree can be used to divide the particle set into different state spaces according to the particle states, and thus calculate the state distances more efficiently. The remarkable feature of this algorithm is that the time complexity is greatly reduced from that O(N2) of the traditional algorithm to O(NlogN). This paper implements the proposed method using particles, the improved algorithm based on KD tree effectively mitigates the disadvantages of previous forward-backward smoothing algorithms, and significantly reduces the computation time while improving the system state estimation precision. Experimental results of simulation analysis and the optimal sub-patten assignment distance is employed as an assessment criterion to validate the algorithm’s performance.