Miracle-dz/UniFAR-FTUs huggingface dataset:
Deteksi Penggunaan Kalimat Abusive Pada Teks Bahasa Indonesia Menggunakan Metode IndoBERT

Abstrak Saat ini banyak contoh yang biasa digunakan dalam pengembangan masalah deep learning, seperti Transformers. Penelitian ini menggunakan salah satu arsitektur dari Transformers yaitu IndoBERT, IndoBERT itu sendiri terdiri dari BERT yaitu Bidirectional Encoder Representations from Transformers yang biasa digunakan untuk masalah deep learning. Metode IndoBERT diimplementasikan untuk mendeteksi penggunaan kalimat abusive pada teks bahasa Indonesia. Dataset yang digunakan dalam penelitian ini memiliki ketidakseimbangan jumlah data pada setiap kelas sehingga akan dilakukan penambahan data untuk mengetahui pengaruh penambahan jumlah data terhadap kinerja hasil arsitektur tersebut. Tahapan pengerjaan dalam penelitian ini dimulai dari dataset, pra-pemrosesan data, pembuatan model dengan metode IndoBERT untuk mendeteksi kalimat abusive, pelatihan dan pengujian. Pengujian dilakukan terhadap arsitektur KNN, SVM, Naive Bayes, BERT Multilingual Base dan BERT Base lalu dibandingkan dengan IndoBERT. Hasil pengujian menunjukkan bahwa selain BERT Multilingual Base, BERT Base dan IndoBERT hanya dapat memprediksi terhadap kelas mayoritas sehingga dilakukan penambahan penggunaan dataset. Hasil pengujian menunjukkan IndoBERT dapat lebih baik dalam mengklasifikasikan kalimat abusive pada teks bahasa Indonesia. Di model BERT Base, berhasil menghasilkan nilai F1 Score untuk semua kelas sebesar 0.6842 IndoBERT sudah dapat menghasilkan nilai F1 Score untuk semua kelas lebih baik. Kata kunci : Kalimat Abusive, IndoBERT, F1 Score, SVM, Naive Bayes, BERT Abstract Nowadays many examples are commonly used in the development of deep learning problems, such as Transformers. This research uses one of transformers architecture namely IndoBERT, IndoBERT itself consists of BERT namely Bidirectional Encoder Representations from Transformers which is commonly used for deep learning problems. IndoBERT method is implemented to detect the use of abusive sentences in Indonesian text. The dataset used in this study has an imbalance in the amount of data in each class so that there will be additional data to find out the effect of increasing the amount of data on the performance of the architecture results. The stages of work in this research started from dataset, data pre-processing, modeling with IndoBERT method to detect abusive sentences, training and testing. Testing was carried out on the architecture of KNN, SVM, Naive Bayes, BERT Multilingual Base and BERT Base and then compared to IndoBERT. The test results showed that in addition to BERT Multilingual Base, BERT Base and IndoBERT can only predict against the majority class so that the addition of dataset usage is carried out. The test results showed IndoBERT could be better at classifying abusive sentences in Indonesian texts. In the BERT Base model, successfully generating an F1 Score for all classes of 0.6842 IndoBERT can already produce an F1 Score for all classes better. Keywords : Abusive Sentences, IndoBERT, F1 Score, SVM, Naive Bayes, BERT
Moving With the Marsh: Encouraging Property Owner Adaptation to Marsh Migration

Climate change adaptation efforts at the local level can help build support among Extension clients as well as improve resilience of natural systems. Marsh migration models of tidal wetlands in Connecticut show inland movement where conditions are suitable. Property owners, however, are frequently opposed to allowing marsh migration of cultivated lawns and gardens. We provide an example of development of a marsh migration buffer on a recently acquired land trust parcel adjacent to tidal wetlands as a local climate adaptation technique. Monitoring and education efforts are ongoing, with emphasis on local outreach. Similar strategies can be applied elsewhere.
Rheological and wall-slip behaviour of composite propellant suspension containing Al-nanopowder

ABSTRACT Hydroxyl terminated polybutadiene composite propellant suspension mainly containing ammonium perchlorate (70%) and aluminium nanoparticles (ANP) (0–6%) was evaluated rheologically to determine the effect of wall slip occurring due to the formation of an apparent slip layer. True rheological properties have been obtained from gap-dependent steady-shear data using Tikhonov regularization method for the composite suspension. The advantage of this method is that it converts the gap-dependent steady-shear data into true rheological properties. The two-stage method can successfully establish both the true shear stress vs. shear rate behaviour and wall-slip parameters. The errors during rheological experimentation are analysed by determining the slip velocities and slip layer thickness. Slip velocity is observed to increase linearly with shear stress. Also, the slip layer thickness decreases with the increase in ANP content in the composite suspension. The maximum slip layer thickness of 2.13 µm is obtained for composition in which ANP is absent, and the same decreased to 0.24 µm for the composition containing 6% ANP. The rheological measurements show least deviation from gap-independent values as the amount of ANP in the propellant increases. Finally, a correlation of apparent slip layer thickness with normalized filler fraction is investigated to check the effect on wall-slip behaviour. Graphical Abstract
The effects of red, blue and white light on the growth and development of Cannabis sativa L.

The aim of this study was to investigate the effect of red (600–700 nm, peak 660), blue (400–500 nm, peak 450) and white light on the morphological and photosynthetic qualities of Cannabis sativa L. The two treatments were the white light (WL), and a combination of blue red lights (BR). Plants grown under WL were 23% taller than those grown under the BR light emitting diodes. The leaf area was also greater under WL than BR by 20%. The number of lateral branches and length of dominant lateral branch weren ́t significantly different. It was concluded WL that emit a full spectrum of light affects plant growth and development better than BR light. The quantum efficiency ranged from 0.81 to 0.845 indicating the plants were not in stress.
Effect of agronomic practices and drying techniques on nutritional and quality parameters of onions (Allium cepa L.)

ABSTRACT The effects of four drying treatments (freeze-drying, hot air drying, oven drying, and vacuum oven drying) on the bioactive compounds (total phenolics, total flavonoids, and quercetins), color, and antioxidant capacity of organic and nonorganic onions of two varieties (Red Baron and Hyfort) subjected to two agronomic treatments (OSOP and CSCP) were investigated. The average final dry weight of the samples was 9.82 ± 0.41%. After drying, there was a significant increase in total phenolics, total flavonoids, total quercetin, and antioxidant capacity in comparison with fresh onion samples, which suggested that drying can improve the extractability of phenols and accordingly the antioxidant activity of onions. Different drying techniques also resulted in different fractions of individual quercetins. Dried organic onions had higher levels of bioactive compounds and antioxidant capacity than dried nonorganic onions for a same variety. The highest antioxidant capacity displayed by freeze-dried and hot-air-dried organic Red Baron onion is in agreement with their higher phenolic and flavonoid contents compared to all other samples.
Removal of trace thorium(IV) from aqueous solutions using a pseudo-polyrotaxane

Abstract The adsorption of thorium(IV) was studied using a pseudo-polyrotaxane, which was obtained by the reaction of poly(propyleneglycol) (PPG) and 6-OTs-β-CD. The adsorption of thorium(IV) was examined as a function of the contact time, pH of the solution, adsorbent dose, concentration of thorium(IV) and temperature using batch adsorption experiments. The experimental results suggested that the optimum conditions were found to be at pH 3.5, contact time 40 min, 10 mg adsorbent doses, 20 mg L−1 thorium(IV) concentration and 298 K. The maximum adsorption capacity was found to be 15.366 mg g−1. The thermodynamic parameters (ΔG0<0, ΔH0<0) were calculated, the result showed that the adsorption of thorium(IV) was exothermic and spontaneous process.
Synthesis of N‐Heterocycles by Reductive Cyclization of Nitro Compounds using Formate Esters as Carbon Monoxide Surrogates

A series of alkyl and aryl formate esters were evaluated as CO sources in the Pd‐ and Pd/Ru‐catalyzed reductive cyclization of substituted nitro compounds to afford heterocycles, especially indoles. Phenyl formate was found to be the most effective, and it allowed the desired products to be obtained in excellent yields, often higher than those previously reported with pressurized CO. Through detailed experiments and kinetic studies, we were able to discern between metal‐catalyzed and base‐mediated activation of phenyl formate and confirmed that just the base was effective in catalyzing its decarbonylation.
Antioxidant effects of Maillard reaction products (MRPs) derived from glucose-casein model systems

The Maillard reaction (MR) involves the condensation reaction between amino acids or proteins with reducing sugars, which occurs commonly in food processing and storage. Maillard reaction products (MRPs) were prepared from glucose-casein model system at pH 8, heated at 60, 75 and 90°C for 6, 12 and 24 h, respectively. Browning intensity (BI) of MRPs, as monitored by absorbance at 420 nm increased with an increase in reaction temperature. The reducing power (RP) of MRPs increased (p < 0.05) as the reaction time increased at 60 and 75°C, while at 90°C an increase in RP was observed from 6 to 12 h and thereafter a slight decrease was observed up to 24 h. The 2,2-Azino-bis-(3ethylbenzthiazoline-6-sulfonic acid) radical scavenging activity (ABTS-RS) and Peroxyl radical scavenging (PRS) activity of glucose-casein MRPs produced at 90°C decreased as the reaction time increased. In this study, the ferrous chelation activity of MRPs was higher than that of tert-butylhydroquinone (TBHQ) (0.02%) and Trolox (1 mM), respectively. Moreover, the 1, 1-diphenyl-2-picryl-hydrazil radical scavenging (DPPH-RS) of MRPs increased (p < 0.05) as the reaction time increased irrespective of the heating temperature. The primary and secondary lipid oxidation products were measured using the Peroxide value (PV) and Thiobarbituric acid reactive substance (TBARs) assay in sunflower oil-in-water emulsion, respectively. MRPs derived at 90°C for 12 h had the lowest peroxide value, while the TBARs inhibitory by MRPs ranged from 39.05 – 88.66%. Glucose-casein MRPs displayed superior antioxidant activity than TBHQ (0.02%) and Trolox (1 mM), respectively, as measured by the TBARs assay. The differential scanning calorimetry (DSC) and Rancimat techniques set at 110°C were used to evaluate the oxidative stability the lipid-rich media containing MRPs. At the same temperature program, DSC gave significantly lower reduction times than the Rancimat. Furosine (N-ε-Fructosyllysine) and Pyrraline (2-amino-6-(2-formyl-5-hydroxymethyl-1-pyrrolyl)-hexanoic acid) were determined using high pressure liquid chromatography to evaluate the extent of the MR. Furosine concentration of glucose-casein MRPs ranged between 0.44 – 1.075 mg.L 1 in MRPs derived at 60°C, while at 75°C an increase as function of time was observed. MRPs derived at 60 and 75°C exhibited a varied concentration of pyrraline as the reaction time increased with higher temperatures resulted in higher concentrations (0.39 mg.L).
Contribution of Nitrogen Fixed by Mung Bean to the Following Wheat Crop

ABSTRACT Crop rotation is a supportive management practice in which legumes greatly improve the growth and yield of subsequent cereal crops, particularly wheat. In this study, effects of mung bean (Vigna radiata) on the yield and quality of grains of following wheat crop were determined. An experiment was carried out with two sets of wheat (Triticum aestivum) crops: one grown following mung bean (Vigna radiata) crop and the other grown after a fallow period. Concentrations of macronutrients, sugar, protein, amino acids, and phytohormones of wheat were determined. The grain protein concentration of wheat was improved if cultivated after mung bean, and nitrogen and other macronutrients of wheat were increased significantly. In case of phytohormone contents in the wheat crop, abscisic acid concentration showed no change, but the concentrations of gibberellin increased significantly by 41% and indole acetic acid by 30% as a result of crop rotation. Sugar content in wheat cultivated after mung bean BRM-318 showed 10% increase and wheat protein content increased by 17% and 20%, respectively. The present study demonstrated that crop rotation simulated yield and improved the nutritional value of wheat grain compared to wheat which followed the fallow period.
VOLTAGE DEPENDENT MODELS OF THE FORMATIVE TIME DELAY IN ARGON

Measurements of the formative time delay t_f at different working voltages U in argon at low pressure are presented. The well-known decreasing voltage behavior of the formative time delay is theoretical described by different empirical and semiempirical models. In addition to introduced empirical models, some models from the literature are applied to elucidate experimentally obtained t_f(U) dependence. However, the models from the literature show a good agreement with the experimental data only at low overvoltages \DeltaU (\DeltaU=U-U_s where U_s is the static breakdown voltage). Therefore, empirical corrections are made based on data analysis, and good compatibility is achieved in a whole range of working voltages. HIGHLIGHTS Presentation of the formative time delay measurements at different working voltages in argon at low pressure Application of empirical and semi-empirical models for description of t_f(U) dependence Application of the t_f(U) models from the literature with and without empirical corrections
Acylphloroglucinol and tocotrienol derivatives from the fruits of Garcinia multiflora

A new regioisomeric pair of garcimultine A (1) and B (2), one new tocotrienol derivative garcimultine C (8), together with six known compounds were isolated from the fruits of Garcinia multiflora. Their structures were determined by extensive spectroscopic techniques including NMR spectroscopy and mass spectrometry. The regioisomeric garcimultine A (1) and B (2) were not separated due to the rapid equilibration between the two isomeric forms. The compounds isolated were evaluated for their cytotoxicity against four cancer cell lines (HepG2, A549, SGC7901, MCF-7). All isolated compounds showed moderate cytotoxicity on four human tumor cell lines with IC50 values ranging from 4.06 to 35.61 μM.
Does Financial Reform Raise or Reduce Savings

The effect of financial liberalization on private saving is theoretically ambiguous, not only because the link between interest rate levels and saving is itself ambiguous, but also because financial liberalization is a multi-dimensional and phased process, sometimes involving reversals. Some dimensions, such as increased household access to consumer credit or housing finance, might also work to reduce private savings rather than increasing them. Furthermore, the long-term effect of liberalization on savings may differ substantially from the impact effect. Using Principal Components, we construct a 25-year time series index of financial liberalization for each of eight developing countries: Chile, Ghana, Indonesia, Korea, Malaysia, Mexico, Turkey and Zimbabwe. This is employed in an econometric analysis of private saving in these countries. We find that the pattern of effects differs across countries. In summary, liberalization appears to have had a significant positive direct effect on saving in Ghana and Turkey, and a negative effect in Korea and Mexico. No clear effect is discernible in the other countries. There is no evidence of significant, positive and sizeable interest rate effects. For the present, our results must be taken as an indication that there is no firm evidence that financial liberalization will increase saving. Indeed, under some circumstances, liberalization has been associated with a fall in saving. All in all, it would be unwise to rely on an increase in private savings as the channel through which financial liberalization can be expected to increase growth.
Torque magnetometry on graphene and Fermi surface properties of VB2 and MnB2 single crystals studied by the de Haas-van Alphen effect

Magnetic properties of two- and three-dimensional materials, id est large-area graphene and single crystals, respectively, of VB2 and MnB2, are studied at low temperatures and in high magnetic fields by torque magnetometry. Magnetic quantum oscillations are not observed for five differing graphene samples, consistent with sample quality available to date. Single crystals of VB2 and MnB2 of large size and unprecedented crystalline quality exhibit a pronounced de Haas-van Alphen effect. We report the angular and temperature dependencies of two de Haas-van Alphen frequencies for each crystal. They allow us to make a detailed comparison with band structure calculations and the isostructural compounds CrB2 and MgB2.
PENERAPAN ALGORITMA BAYESIAN REGULARIZATION BACKPROPAGATION UNTUK MEMPREDIKSI PENYAKIT DIABETES

Pada tahun 2015, penderita diabetes di Indonesia sebanyak 10 juta jiwa. Banyaknya penderita diabetes ini semakin bertambah dari tahun ke tahun. Berdasarkan data International Diabetes Federation, diperkirakan pada tahun 2040 banyaknya penduduk Indonesia yang terkena penyakit diabates akan meningkat menjadi 16.2 juta jiwa penduduk. Upaya pendeteksian sejak dini penyakit diabetes perlu dilakukan. Hal ini untuk mengurangi komplikasi penyakit pada penderita pada masa yang akan datang. Neural network merupakan salah satu metode klasifikasi yang dapat digunakan untuk memprediksi penyakit diabetes. Penelitian ini bertujuan membuat sistem prediksi penyakit diabetes. Kinerja diagnostik sistem Jaringan syaraf tiruan dievaluasi menggunakan analisis Receiver Operating Characteristic (ROC) untuk mengetahui tingkat accuracy, sensitivity, dan specificity. Hasil evaluasi menunjukkan klasifikasi menggunakan sistem jaringan syaraf tiruan backpropagation masuk ke dalam kriteria good classification. Artinya, hasil klasifikasi ini dapat digunakan untuk membuat sistem prediksi penyakit diabates.As 2015, an estimated 10 million people had diabetes in Indonesia. Trends suggested the rate would continue to rise year by year. According to the latest International Diabetes Federation, people living with diabetes is expected to rise to 16.2 million by 2040. Early detection of diabetes is needed to reduce number of people living with diabetes. Neural network classification is one method that can be used to predict diabetes. This research aims to make diabetes disease prediction systems. Artificial neural network diagnostic system performance was evaluated using analysis of Receiver Operating Characteristic (ROC) to determine the level of accuracy, sensitivity, and specificity. The results of the evaluation showed that the classification system using backpropagation neural network is good. The results of the classification is used to make diabetes disease prediction systems.
Metabolomic profiling of ethanolic extracts of the fruit of Xylopia aethiopica (Dunal) a. rich using gas chromatography and high-performance liquid chromatography techniques

The study was aimed at identifying the phytochemicals present in the ethanolic extracts of the dried fruit of Xylopia aethiopica by GC-MS and HPLC-DAD analyses. A total of 39, 38 and 35 compounds were identified in the ethanol extract (EE), residual fraction (RF) and n-hexane fraction (HF) of ethanolic extracts of X. aethiopica, respectively by the GC-MS. The HPLC-DAD analysis revealed the presence ofxylopic acid, chlorogenic acid, caffeic acid and ellagic acid in all the samples while apigenin, kaempferol, rutin and quercetin were only present in EE and RF. The results postulated that the ethanolic extracts and the fractions of the extract contain various bioactive compounds which can be used for the treatment and management of various diseases.
Formulation And Evaluation Of The Prepared Floating Raft System Of Tizanidine HCL

To extend the residence time of tizanidine HCl dosage form within the stomach until the drug released at the optimum rate for oral sustained-release drug delivery systems. Aim of the present study to develop a sustained-release floating raft system of tizanidine HCl to enhance its low bioavailability and overcome rapid metabolism. Physicochemical characteristics of tizinidine HCl FRS were evaluated. In addition, pharmacokinetics of the optimum, raft system formula, and marketed Sirdalud® 6 mg sustained release as reference were examined in rabbits. The optimum floating raft (F9) was found to float within 27 seconds and remain buoyant for more than 24 h in simulated gastric fluid. All prepared raft system formulations showed sustained release, releasing about 60-80 % of tizanidine HCl over 6 hours. The Cmax was 442 and 364 ng/mL for floating raft (F9) and marketed Sirdalud® 6mg, respectively. Moreover, relative bioavailability of the tizanidine HCl was 103.54% post oral administration of floating raft (F9), compared to marketed Sirdalud® 6. These findings showed that the prepared sustained-release floating raft system would be promising drug delivery system for long acting action.
Structure-Activity Relationships of SSZ-13 And Other Small Pore Zeolites for Catalytic NOx Abatement

Albarracin, Jonatan D. M.S.Ch.E. , Purdue University, August 2016. Structure Activity Relationships of SSZ-13 and Other Small Pore Zeolites for Catalytic NOx Abatement. Major Professor: Fabio H. Ribeiro. Environmental regulations on diesel automobiles have promoted the development of exhaust after-treatment technologies that can abate Nitrogen Oxides (NOx) i.e. Ammonia Selective Catalytic Reduction (NH3-SCR). Recently, the Cu-exchanged SSZ-13 (Cu-SSZ13) zeolite catalyst has been commercialized due to its efficient reduction of NOx and superior hydrothermal stability in light and heavy-duty diesel vehicles. Nevertheless, a fundamental understanding of this catalyst and the NH3-SCR reaction mechanism are still under debate. In this work, kinetic and characterization studies were performed to gain insight of the active sites on Cu-SSZ-13 and contribute to the understanding of NH3-SCR mechanism. Additionally, hydrothermal stability studies were carried out on small pore zeolites i.e. SSZ-13, SSZ-39 and RTH, to evaluate potential catalysts for the reduction of NOx using NH3-SCR. NH3-SCR kinetic measurements at 473 K taken on Cu-exchanged SSZ-13 Si/Al = 15 samples, with copper varying from Cu/Al = 0.02 to Cu/Al= 0.44, revealed two distinct active sites that can populate SSZ-13 as a function of the zeolite composition. A previous study done by our group [1] identified isolated Cu2+ as the active species for NH3-SCR for SSZ-13 Si/Al = 4.5. Similarly, it was predicted that for an SSZ-13 Si/Al = 15 the maximum amount of active sites would be found in a sample with Cu/Al = 0.09. However, the linear correlation between the SCR rates and the Cu loadings up to Cu/Al = 0.44 found in this work demonstrate that an additional Cu configuration was equally active as the proposed isolated Cu2+.