Miracle-dz/UniFAR-FTUs huggingface dataset:
Societal risk assessment of terminal and oil refinery unit

This paper presents the societal risk assessment of oil refinery in one of the oil companies in East Java. The oil company operates-a terminal for loading and unloading of variety petrochemical products. The products are categorized as flammable which could be hazardous. To prevent unlikely event of hazards such as fire, risk assessment is needed to know the level of risk and propose any mitigation if the risk is unacceptable. The risk assessment is done for all the processes that occurs such as loading and unloading of products and the chemical process in the oil refinery. The system is categorized into 8 nodes based on their function. Firstly, Hazard and Operability (HAZOP) is carried out using BS IEC 61882 standard to identify the deviation of the system, the causes and how to prevent it. The frequency analysis of failure of component is done by using Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) which based on the DNV failure guidance and Oil and Gas Producers (OGP) data as input. In order to know the level of consequence, fire modelling is carried out to simulate how the jet fire and pool fire could impact into the social around the oil refinery in form of heat intensity. The fire modelling for the pool fire and jet fire results the pool radius and flame length respectively, based on the heat intensity of 4 kW/m2, 12.5 kW / m2, and 37.5 kW / m2. Risk is represented using F-N curve with UK-HSE standard. There is unacceptable risk that incurred for jet fire in pipeline and its components from the feedstock tank into pre-cut column, scenario 200 mm hole diameter. Mitigation is done using LOPA to bring the risk to the acceptable region by adding a gas detector which has changed the frequency of system failure from 1.44E-03 to 2.88E-06.
The influence of novel bromine sequestration agents on zinc/bromine flow battery performance

This study benchmarks cycle performance of electrolyte solutions containing novel bromine sequestration agents (BSA) in a zinc bromine flow battery. Five alternative BSA candidates – 1-ethyl-1-methylpiperidinium bromide ([C2MPip]Br), 1-ethylpyridinium bromide ([C2Py]Br), 1-(2-hydroxyethyl)-pyridinium bromide ([C2OHPy]Br), 1-ethyl-3-methylimidazolium bromide ([C2MIm]Br) and 1-(2-hydroxyethyl)-3-methylimidazolium bromide ([C2OHMIm]Br) were investigated under operational conditions typical for zinc bromine flow batteries. Results were compared to the conventional BSA, 1-ethyl-1-methylpyrrolidinium bromide ([C2MPyrr]Br). Electrolytes containing the various alternative BSAs were tested at bench scale in a full-cell battery setup under controlled electrolyte flow and temperature. The evaluated performance parameters were: voltaic efficiency, coulombic efficiency, energy efficiency and recoverable charge. A correlation between BSA–bromine bond strength and cycle performance was observed. Performance of the tested electrolytes varied widely, and gains in coulombic efficiency were generally offset by losses in voltaic efficiency. [C2Py]Br and [C2MIm]Br produced cycle performance improvements compared to the other BSAs studied.
Development of a Short Version of ICF Core Set for Stroke Adapted for Rehabilitation in Korea: a Preliminary Study

This study aimed to develop a short version of the International Classification of Functioning, Disability, and Health (ICF) core set and verify functioning levels of patients for stroke rehabilitation in Korea. Using the Delphi technique, a 3-round consensus process was conducted. Thirty multidisciplinary rehabilitation experts from different hospitals completed the consensus study. The questionnaire for this study adopted the comprehensive ICF core set for stroke developed by the Geyh group. A 7-point Likert-type scale was used by participants to weigh the impact of each category on activities of daily living or rehabilitation after a stroke. The consensus of ratings was assessed with Spearman's rho and inter-quartile range indices. A core set to assess functioning levels of patients with stroke was developed from those categories. A short version of ICF core set to assess and verify functioning levels of patients with stroke was developed for 12 categories, including 3 categories (consciousness, muscle power, and attention) from body functions, 1 (structure of brain) from body structures, 5 (eating, walking, moving around, changing basic body position, and carrying out daily routine) from activities and participation, and 3 (individual attitudes of immediate family members, immediate family, and personal care providers/personal assistants) from environmental factors. This preliminary study developed a Delphi consensus process, gathering statistical evidence and expert commands based on the short version of ICF core set for rehabilitation of stroke patients in Korea.
Provision of Synthetic Inertia Support for Converter-Dominated Weak Grids

Insufficient inertia is the paramount challenge in power system transition toward <inline-formula><tex-math notation="LaTeX">$ 100\%$</tex-math></inline-formula> converter-based generation. A promising solution to this issue is utilizing distributed virtual inertia (DVI) concept, i.e., releasing energy stored in the dc-link capacitors of power converters employed in the grid following a frequency disturbance. Nevertheless, this method has two drawbacks: <inline-formula><tex-math notation="LaTeX">$ 1$</tex-math></inline-formula>) the dc-link voltage is not reverted to its reference value after the power mismatch between generation and demand, and <inline-formula><tex-math notation="LaTeX">$ 2$</tex-math></inline-formula>) it yields instability of a local mode associated with the control system when the converter operates in weak grids. To overcome the aforesaid problems, the conventional DVI loop is modified so as not to affect the outer loop voltage regulator after transient. Moreover, an efficient compensator is presented in this article which eliminates the adverse impact of DVI technique on the converter stability in weak grid connections. The efficacy of proposed control scheme is depicted by simulations in MATLAB. The results illustrate that an improvement of <inline-formula><tex-math notation="LaTeX">$ 23\%$</tex-math></inline-formula> is evident in the grid frequency rate of change following a frequency contingency collated with the case in which the DVI loop staying nullified.
A Review of Synchronous Reluctance Motor-Drive Advancements

Recent studies show that synchronous reluctance motors (SynRMs) present promising technologies. As a result, research on trending SynRMs drive systems has expanded. This work disseminates the recent developments of design, modeling, and more specifically, control of these motors. Firstly, a brief study of the dominant motor technologies compared to SynRMs is carried out. Secondly, the most prominent motor control methods are studied and classified, which can come in handy for researchers and industries to opt for a proper control method for motor drive systems. Finally, the control strategies for different speed regions of SynRM are studied and the transitions between trajectories are analyzed.
A review of 3D-printed sensors

ABSTRACT Nowadays, sensors play an important role in human life. Among the many manufacturing methods used in the fabrication of sensors, three-dimensional (3D) printing has gradually shown its advantages, particularly with commercial products. Physical sensors, biosensors, and chemical sensors can all be fabricated via 3D printing technology, through either directly printing sensing components, printing molds for casting sensors, or printing platforms to be integrated with commercial sensors. In this article, the varieties of features and applications of 3D printing technologies used in the fabrication of sensors are reviewed. Several types of 3D printing technologies are compared for better understanding of the tools. With the development of new or hybrid manufacturing methods and materials used in the 3D printing technology, this technology will show its great advantages and potential in the fabrication of highly sensitive nanosensors or compound sensors with 3D intricate structures.
Reasons for the High Electrical Conductivity of Bismuth Ferrite and Ways to Minimize It

The reasons for the high electrical conductivity of bismuth ferrite due to its natural composite structure, structural non-stoichiometry, redox processes, and the boundary position in the perovskite family have been considered. It has been shown that it is possible to significantly (2–3 orders of magnitude) reduce the conductivity of BiFeO3 by introducing large-sized ions of rare-earth elements (REE: La, Pr, Nd, Sm, Eu, Gd with 0.94 ≤ R¯ ≤ 1.04 Å) in amounts of up to 10 mol %. An interpretation of the observed effects has been given. A consideration about the appropriateness of taking into account the presented results when developing devices using materials of the BiFeO3/REE type has been expressed.
Jitter Decomposition by Convolutional Neural Networks

Jitter is one of the crucial factors used to characterize high-speed serial links and integrated circuit performance. Jitter decomposition is key tool with which to characterize jitter at a given bit error rate (BER). In this article, a novel jitter decomposition algorithm is proposed using convolutional neural networks to decompose random jitter (RJ) and deterministic jitter (DJ) by images of a jitter histogram, and predict the total jitter (TJ) at a BER of 10−12. The jitter histogram – that is, training data – is obtained by modeling the high-speed serial link in an advanced design system. The test results verify the feasibility and accuracy of the proposed method. The RJ mean absolute error (MAE) of the test is 0.8721 ps and the error rate 6.74%, and the DJ MAE is 4.8684 ps and the error rate 2.03%, and TJ MAE is 8.9406 ps and the average error rate 2.13%. In addition, results show that the effectiveness of the proposed method is better than most other jitter decomposition methods by evaluating the average error rate.
Error source and latency-aware read performance optimization scheme for aged SSDs

LDPC code has been used widely in NAND ﬂash-based storage system due to its high error correction capacity, prolonging the lifetime of multi-bit NAND ﬂash. However, the LDPC decoding latency degrades the read performance of SSD as it induces more read-retry operations. The last RL(Read-Level) recording method has been proposed in recent research works, which achieves better performance improvement by reducing many useless fail reads. However, these schemes reset the RL of these pages to be 1 after these blocks are erased. Using RL 1 to read these pages may induce many fail reads at ﬁrst read on each page. That because it ignores the diﬀerent error source issues, i.e., a part of the page error comes from the P/E cycles, while others come from retention time and other sources. Motivated by this observation, in this paper, we propose two schemes to optimize the read procedure of NAND ﬂash-based SSD, especially for aged SSDs. We propose to record RL induced by diﬀerent error sources separately, so the RL of the page could keep unchanged rather than 1 after the blocks are erased. The scheme could reduces useless fail read after the blocks are read at ﬁrst time. We also design a latency aware I/O scheduler to reorder the input read requests in batch by prioritizing requests with low latency to reduce the queue latency. Our experiments show that the proposed scheme can reduce the average response time by up to 33% with less storage overhead.
Audio fingerprint for automatic Balinese rindik music identification using gaussian mixture model

Rindik is a traditional gamelan instrument that has been known for a long time in which is made from bamboo. Rindik music can be identified by just hearing a little bit snippets from the music that can only be done by professional rindik players. This research assumes doing some training in the system can make the system recognize the music by just using some rindik music snippets. This research focuses on comparing some features extraction method for automatic rindik music identification by using some rindik music snippet to find out which of these features perform the best to represent rindik music. This research will use an audio fingerprint method for song identification. MFCC (Mel Frequency Cepstral Coefficient) and Spectral Subband Centroid will be used and compared as the music’s feature, and Gaussian Mixture Model will be used to model the music’s fingerprint. The result of this research show both methods give excellent results. Both features only need 10-second duration data to get over 90% overall accuracies. Both Feature gives excellent performance with GMM for automatic rindik song identification task. However, Spectral subband centroid show better result with the highest accuracies is 99.3%.
Performance evaluation of terrestrial laser scanners—a review

Terrestrial laser scanners (TLSs) are increasingly used in several applications such as reverse engineering, digital reconstruction of historical monuments, geodesy and surveying, deformation monitoring of structures, forensic crime scene preservation, manufacturing and assembly of engineering components, and architectural, engineering, and construction applications. The tolerances required in these tasks range from few tens of millimeters (for example, in historical monument digitization) to few tens of micrometers (for example, in high precision manufacturing and assembly). With numerous TLS instrument manufacturers, each offering multiple models of TLSs with idiosyncratic specifications, it is a considerable challenge for users to compare instruments or evaluate their performance to determine if they meet specifications. As a result, considerable efforts have been made by research groups across the world to model TLS error sources and to develop specialized performance evaluation test procedures. In this paper, we review these efforts including recent work to develop documentary standards for TLS performance evaluation and discuss the role of these test procedures in establishing metrological traceability of TLS measurements.
Obstetric Anal Sphincter Injury Detection Using Impedance Spectroscopy with the ONIRY Probe

Anal sphincter injuries occurring during natural deliveries are often a reason for severe complications, including fecal incontinence. Currently, approximately 80% of these injuries remain unrecognized. Therefore, it is crucial to focus on finding a way to diagnose such injuries as early as possible to apply the tailored treatment. This study aimed to assess the accuracy of impedance spectroscopy in the diagnostics of obstetric anal sphincter injuries (OASIs) using a specially designed rectal probe called the ONIRY Probe. The protocol of the clinical trials is described at NCT03769792. Twenty women after natural delivery were enrolled in the study and divided into two groups referring to the stage of a perineal tear (Group A: 1- or 2-degrees, and Group B: 3- or 4-degrees of a perineal tear; without or with sphincter injury, respectively). The study design included three visits during which a number of diagnostic tests were performed, including impedance spectroscopy, and 3-dimensional endoanal ultrasound, anorectal manometry, and physical examination as a reference. Statistical analysis comprised raw data analysis, as well as post-processing with the Synthetic Minority Oversampling Technique (SMOTE) method, as the output reference grade was highly imbalanced. A variety of machine learning techniques were applied for the OASI classification (≤2 vs. >2), and Wexner scale (=0 vs. >0). The best efficacies were obtained using Random Forest and k-Nearest Neighbors methods. Best accuracies were 93.3% and 99.6%, for raw and re-analyzed data, respectively, for ultrasound assessed by the OASI classification; and 79.8% and 97.0%, respectively, for clinical evaluation using the Wexner scale. Impedance spectroscopy performed using the ONIRY Probe appears to be a promising diagnostic technique for anal sphincter injury detection but requires further investigation (the next phase of the pilot clinical trial is described at NCT04181840).
Experimental study of the effects of fresh Gekko swinhonis anti-neoplasm active component on inhibiting CT-26 tumor growth

OBJECTIVE To observe pharmacodynamic action of fresh Gekko.swinhonis anti-neoplasm active component on experimental malignant tumour in vitro and in vivo.METHODS MTT was used to measure the inhibition rate of tumor cell growth.CT-26 tumor model of BALB/C mice was divided into groups.According to the weights,fresh Gekko swinhonis anti-neoplasm active component and its liposome dosage groups were divided into dose of 10,5,1 mg·kg-1 respectively,positive control group of cytoxan was administrated to 100 mg·kg-1,negative control group was the same volume sodium chloride,then intraperitoneal injection once a day for every group,experiment time was 14 d,after it was putted to death by dislocation to measure body weight,to dissect subcutaneouly tumor and to measure humid weight.RESULTS Fresh Gekko swinhonis anti-neoplasm active component can inhibit cell proliferate in a time-and dose-dependet manner in vitro and in vivo.The fresh Gekko swinhonis anti-neoplasm active component liposome groups had significant difference with fresh Gekko swinhonis anti-neoplasm active component group.CONCLUSION Fresh Gekko swinhonis anti-neoplasm active component liposome has conspicuous inhibition activity on CT-26 both in vitro and in vivo.
A Nonlinear Feature Fusion-Based Rating Prediction Algorithm in Heterogeneous Network

Due to the flexibility of heterogeneous information networks (HINs) in modeling heterogeneous data, researchers begin to use it to integrate the objects and relationships in recommender systems. However, how to abstract and exploit effective information and apply the information to recommender systems is a challenge. To fully mine nodes’ structural features and better integrate these features simultaneously, we present a nonlinear feature fusion-based rating prediction algorithm. This algorithm first uses a meta-path-based HIN embedding model to extract the nodes’ structural features. Then, the structural features are converted by a nonlinear fusion method. Finally, the fused features are input into the multilayer perceptron to achieve rating prediction. Experiments on real-life data sets, such as Movielens-100k, Yelp, Douban Book, and Douban Movie, are designed to prove the performance of the proposed model. Experimental results on the four data sets reveal that our algorithm is superior to the baselines.
Formulation and Characterization of Atenolol-loaded Gellan Gum Nanoparticles

Biopolymeric nanoparticles were synthesized using Gellan Gum and loaded with Atenolol, an antihypertensive drug by ionotropic gelation (an easy and ecofriendly system) induced by BaCl2 as an ionic crosslinking agent to improve absorption and bioavailability of drug. These nanoparticles were characterized by scanning electron microscope, fourier-transform infrared spectroscopy, X-ray diffraction analysis and dynamic light scattering techniques. Mean particle size obtained was 85.61 nm by X-ray diffraction, Zeta potential -19.4 mV with fibrous morphology. In order to optimize conditions for in vitro drug release various physicochemical parameters were studied. Different kinetics model were used to analyze in vitro drug release and results indicated that the drug release follows Korsemeyer-Peppa’s model.
Design of TFET based Op-Amp and CCII for low voltage and low power applications

ABSTRACT This paper presents design of an ultra-low-power two-stage Op-Amp and Second-generation current conveyor (CCII) using gm/ technique for portable applications like biomedical instruments, wireless sensor networks (WSNs), etc. The designed circuits are based on 20 m Tunnel Field-Effect Transistor (TFET). The circuits use a single power supply of 0.9 V and provide improvements in many areas when compared with Carbon Nanotube FET (CNTFET) based circuits and existing TFET-based circuits. The simulation set up in HSPICE, provide very low-power consumption for the same performanceand provide much better performance for the same power consumption when compared with existing circuits. In the case of TFET-based Op-Amp, for the power consumption of 47.1 W, the GBW and open-loop DC gain are 5.12 MHz and 75.9 dB, respectively. While for the power consumption of 107.1 W, the GBW and open-loop DC gain are 9.01 MHz and 74.9 dB, respectively. In case of TFET-based CCII, for the power consumption of 82.3 W, the 3-dB BW for Voltage and Current transfer gains are 700 MHz and 135 MHz, respectively. While for the power consumption of 173 W, the 3-dB BW for Voltage and Current transfer gains are 1.12 GHz and 226 MHz respectively.
DESIGN AND DEVELOPMENT OF RADIO WAVE ABSORBER USING ECO-FRIENDLY MATERIALS

An investigation on using eco-friendly natural materials like coconut pith, rubber, and charcoal powder for developing radio wave absorbers has been reported in this paper. Two absorbers named CoR (Combination of Coconut pith powder and natural Rubber latex) and CoRC (Combination of Coconut pith powder, natural Rubber latex, and Charcoal powder) are made through proper mixing and drying. The absorptivity of these two absorbers (CoR and CoRC) is compared with the industrial standard polyurethane based absorber. The waveguide method is employed to measure the absorptivity of these absorbers in 3 different frequency bands. Band 1 (1.7–2.6 GHz) includes the mobile communication frequencies of 1.8 GHz and 2.4 GHz. Band 2 (4.9–7.05 GHz) is intended for sub 6 GHz band of 5G as well as WLAN frequencies while band 3 (8.2–12 GHz) is for higher frequencies of radar operation. The exact values of lower and upper frequencies of bands are determined by the physical dimensions of waveguides used. The absorption capability of the absorbers is found to increase as the frequency of operation increases. The CoR absorber has almost 63% average absorptivity in band 3, 56% in band 2, and 21% in band 1. The CoRC absorber has an average of 74% absorptivity in band 3, 63% in band 2, and 24% in band 1.
Evaluation of solvate and co-crystal screening methods for CL-20 containing energetic materials

ABSTRACT The difficulty synthesizing new co-crystals has made the development of efficient methods for screening co-formers a high priority. Co-crystals have been realized as a new generation of materials with tuneable solubility, stability, and performance. Energetic co-formers have exceptionally weak intermolecular interactions making selection of co-crystallization method and parameters critical to forming a true co-crystal. COSMO-RS calculations coupled with the COSMOtherm software suite were used to screen common solvents and co-formers for CL-20. The predicted favorable solvates and co-crystal formers were compared to experimentally confirmed solvates and co-crystals to assess the accuracy of the COSMO method for CL-20-based materials. It was found that screening solvents using excess enthalpy and solvent cavity volume were able to predict experimentally confirmed CL-20 solvates. Co-crystal formation was difficult to predict using the COSMO method, highlighting the importance of entropy and solid-state interactions. The selection of good solvents is perhaps the best method for maximizing entropy. Understanding the dependence on entropy for energetic-energetic cocrystal formation coupled with an accurate method for screening co-crystal formation allows for intelligent design of co-crystallization methods.