Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Literature Review Toward a Taxonomy of Open Value Networks (short paper)

New ways of organizing the economy have arisen over the past few years. Most of them include interactions between agents who join or leave a network at little to no cost. This is defined in the literature as an Open Value Network. However, to the best of our knowledge, there is no research on the different configurations of such businesses networks at a model-level. Hence, we conduct a systematic literature review to find the relevant classes and relations for a taxonomy of Open Value Networks. In this paper, we show the data extracted from 5 peer-reviewed academic papers.
Impact of Extracranial–Intracranial Bypass on Cognitive Function in a Patient with Chronic Cerebral Ischemia

Extracranial–intracranial (EC-IC) arterial bypass surgery was developed to prevent subsequent stroke by improving hemodynamics distal to the occluded intracranial artery, but its utilization has been decreasing due to the development in medical treatment. However, EC-IC bypass surgery may be effective for arresting or reversing cognitive decline in patients with cerebral ischemia. A 69-year-old man with the left internal carotid artery occlusion that manifested as scattered cerebral infarction of the left hemisphere presented with dysarthria and transient right hemiparesis. Hemodynamic condition was impaired in the left side, and therefore, EC-IC bypass surgery was performed to prevent recurrence of cerebral infarction. Neuropsychological examination at 6 months after the surgery showed marked improvement as compared to the preoperative examination and there was no recurrence of stroke in the patient. EC-IC bypass may contribute to the improvement of cognitive function as well as the prevention of recurrence of cerebral infarction in patients with hemodynamic insufficiency, but there might be a threshold of hemodynamic impairment with respect to the reversibility of cognitive performance. Investigation of the target and timing can identify cases in which the cognitive function is improved by surgery.
Vanishing bone disease: An enigma

Vanishing bone disease is a rare clinical entity with unknown etiology. This disease affects individual irrespective of age or sex. Various names have been used in the literature to describe this condition such as Gorham's disease, phantom bone disease, massive osteolysis, disappearing bone disease and acute spontaneous absorption of bone. The pathogenesis is unknown and the treatment still remains controversial. Considering the rarity of the disease, we report here an interesting and unique case of massive osteolysis of the lower jaw that affected the mandibular basal and alveolar bone. The diagnoses lead on the association of clinical, radiological and histological features.
Discharge energy and dc tracking resistance of organic insulating materials

As an evaluation test method for surface insulation degradation of organic insulating materials, the tracking test method is described in IEC Publ.112 as a safe and reliable evaluation. This publication has now been applied to the material selection. Due to the fact that the experimental values of the comparative tracking index (CTI), have wide variations, problems in reliability testing are abundant. In this paper, the correlation is investigated between discharge energy and tracking resistance of organic insulating materials. The test method resembles the IEC Publ.112 method, but with the application of dc voltages. The number of drops to tracking failure was measured with samples of paper based phenolic laminate, polybutylene terephthalate and epoxy resin. Discharge currents were detected when discharge occurred on the sample surface. A Gaussian wavelet analysis was applied to show energy levels of discharge currents. It was found that the tendency of discharge energy on organic insulating materials corresponded to the CTI of dc tracking resistance, and the results were an improvement on the IEC Publ.112 method for grading materials. The tracking resistance of organic insulating materials could be deduced from the discharge energy.
From Hybrid Microgels to Photonic Crystals

We have synthesized semiconductor and metal nanoparticles (NPs) in the constrained geometry of polymer microgels. We used electrostatically driven attraction between the ionic groups of the microgels and the precursor cations in the bulk liquid medium to introduce the cations in the interior of the microgel. In the second step, the cations in the microgel interior reacted with the anion (to obtain semiconductor NPs) or they were treated with a reducing agent (to obtain metal NPs). Good control over the size and the concentration of the NPs in the microgel particles was achieved by changing the composition of the corresponding microgel. The doped microgel spheres were heated at pH 4 above the volume‐transition temperature of the polymer to expel the water from the microsphere interior; then the polymer was encapsulated with a hydrophobic polymeric shell. Hybrid core–shell particles were used as the building blocks of the nanostructured material with properties of a photonic crystal.
Robust subpixel alignment in lithography

Lithographic alignment is the problem of estimating the position of a feature that has previously been etched onto a wafer. Ideally, the alignment algorithm should be accurate without being computationally complex. In this article we describe an algorithm that, for symmetric pulses, achieves the accuracy of correlation at a fraction of the computational expense. The algorithm will automatically adapt to the minimum error condition for an unknown mark. We show that this algorithm is more robust than simple edge detection.
Temperature dependence of proton transfer in 4-chlorobenzoic acid

The energy asymmetry associated with hydrogen atom transfer in the O–H⋯O hydrogen bond of crystalline 4-chlorobenzoic acid has been determined from the temperature dependence of the hydrogen atom site occupancy factors, refined using single-crystal neutron diffraction data; the energy asymmetry (ΔH°/R) is estimated to be 200 ± 15 K, a factor of ca. 2.6 greater than the value obtained for benzoic acid.
Complexing Behaviour and Antifungal Activity of N-[(1E)-1-(1H-Benzimidazol-2-yl)ethylidene]morpholine-4-carbothiohydrazide and Related Ligand with Metal Ions

The coordination complexes of bivalent metal ions with N-[(1E)-1-(1H-Benzimidazol-2-yl)ethylidene]morpholine-4-carbothiohydrazide (H2bmctz, H2L-1) and N-[(1E)-1-(1H-Benzimidazol-2-yl)(phenyl)methylidene] morpholine-4-carbothiohydrazide (H2bpmctz, H2L-2) were prepared and their neutral, monoanionic, and dianionic forms of ligands of compositions [M(H2L)X2] (M=, , , , , or , X=Cl− or Br−, and H2L=H2L-1 or H2L-2), [M(HL)2]nH2O where (M=, , , , or , H2L=H2L-1 or H2L-2, and n = 0 or 2), and [MLB]nB (M=, , , , or , B=H2O, Py, or -pic, n = 0 and n = 1 if B=H2O for Ni(II) and H2L=H2L-1 or H2L-2) have been characterised by magnetic susceptibility measurements, electrical conductance values, and spectral properties. The magnetic moment value of [M(HL2)] (M=, , or ) type complexes is consistent with high spin octahedral structure while those of [M(H2L)X2] (M=, , , , or , X=Cl− or Br−) possess five coordinated trigonal bipyramidal geometry. The adduct complexes [MLB]·nB (M=, or , B=H2O, Py, or -pic) are four coordinated planar and those of and complexes [MLB], (H2L=H2L-1 or H2L-2, B=H2O, Py or -pic) are tetrahedral. These ligands have been suggested to coordinate as tridentate (N N S) donor molecule in complexes of type [M(H2L)X2], [M(HL)2], and [MLB]. The antifungal activity of ligands and some of their metal complexes were studied and it was observed that metal complexes show higher activity than free ligand.
3 Cell Signalling in Urothelium

The urothelium is the highly specialised layer of epithelial cells lining the bladder. It has to maintain a tight barrier against urea and other toxins while accommodating large changes in bladder volume. Consequently, when it is damaged, it has to be able to repair itself rapidly (although under normal conditions there is very low cell turnover rate.) This is controlled by a balance between cell proliferation and differentiation signalling pathways. The study group was asked to model some of the chemical reactions which make up these pathways.
Cognitive Psychology and Psychometric theories Of Intelligence

Introduces fundamental issues in cognitive psychology. the belief that that the principles of cognitive psychology should be introduced in such a way that students see their direct pertinence to and potential impact upon human affairs. It is aimed principally at the undergraduate who is taking a basic course in cognitive psychology, in memory and cognition, or in human memory.
Hepatitis B Virus Seroprevalence and Genetic Variants among HIV Infected Patients in Nyanza, Kenya

Infections caused by hepatitis B virus (HBV) and human immunodeficiency viruses (HIV) remain the leading most important health problems worldwide. HBV is among the top 10 leading causes of infectious disease deaths worldwide. Globally, chronic infection with each of these viruses alone contributes to substantial morbidity. HIV infection accounts for an estimated 40 million persons and HBV infection accounts for an estimated 370 million chronic infections [1].
Synthesis of Silver Nanoparticles Using Triticum aestivum and Its Effect on Peroxide Catalytic Activity and Toxicology

The synthesis of stable silver nanoparticles using bioreduction method was investigated. Biological synthesis of silver nanoparticles using Triticum aestivum (khapali ghahu) extract was investigated. The effect of a specific variety of plants and how it affects the growth of silver nanoparticles was investigated in our work and it was polydispersed. UV-visible spectroscopy was used to monitor the formation of silver nanoparticles within 15 minutes. The peaks in XRD pattern are in good agreement with those of face-centered-cubic form of metallic silver. Further the IR and TEM shows confirmation of nanocrystalline nature of silver nanoparticles. These nanoparticles dislodged by ultrasonication showed an absorption peak at 430 nm in UV-visible spectrum corresponding to the Plasmon resonance of silver nanoparticles. UV-visible titration experiments showed evidence that silver nanoparticles facilitate hydrogen peroxide reduction showing excellent catalytic activity at 200 μL. In this preliminary toxicology study, Earthworm toxicology we checked and is stable up to 1500 ppm concentration. The use of plant extract for silver nanoparticles synthesis offers the benefits of eco-friendliness and amenability for large-scale production.
Higher Level Multilevel Inverter for Medium Voltage Drives with High DC-link Voltage Utilization

This paper presents a floating capacitor (FC) voltage balancing technique, which extends the linear modulation range of a single source three-phase thirteen-level inverter having reduced switch count. Due to lack of suitable redundancies at certain pole voltage levels, it is challenging to balance the FC voltages for the entire modulation range operation required for induction motor drive applications. Hence a technique is proposed for FC voltage balancing by adding a common-mode offset to the reference voltage. This improves the DC bus utilization of the proposed inverter up to 0.63 times the dc-link voltage even at unity power factor load. Using MATLAB simulation, the effectiveness of this scheme is analyzed during different steady-state and transient conditions.
Research on an Interpretable Real-Time Information Recommendation Model based on BAS-ICF algrithm

Most of the existing studies on recommendation system are designed for the accuracy and novelty, but few are designed from the perspective of the user experience, which will cause users to feel confused about the recommendation results, especially in unfamiliar fields. So, this paper will introduce bias into the object-based collaborative filtering (ICF) algorithm. The bias can simultaneously quantify both the quality of the movie and the users’ requirements, which not only helps to improve the accuracy of the recommendation, but also enhances the interpretability and real-time performance. It’s shown graphically and experimentally. Even though the base-ICF algorithm is not as accurate as the deep-learning algorithm, it performs better in real-time and interpretability, which can achieve a good balance among these three factors.
2D-ATT: Causal Inference for Mobile Game Organic Installs with 2-Dimensional Attentional Neural Network

In the mobile gaming industry, organic installs refer to downloads that cannot be attributed to any advertising channel and thus do not introduce upfront user acquisition (UA) cost. Understanding the causal factors on organic installs is of vital importance for a game’s ecosystem, as such knowledge can help bring in more organic users, who tend to be more loyal and active. A major challenge in discovering the causal effects is the potential temporal lag between an UA operation and the growth in organic installs. In this paper, we solve the problem by using a deep attentional neural network to analyze multivariate time series data. The core of our design is a novel attention mechanism, namely 2D-ATT, that can learn the contribution of each feature to the target at different levels of temporal delay. Our experiments on a series of synthetic datasets show that 2D-ATT outperforms existing approaches for discovering complex causal effects. We also use 2D-ATT to analyze a real-world mobile game dataset collected by Jam City, a video game company based in California. Our discoveries provide valuable insights to UA operations.
Expert System-Based EMI Modeling Method for IGBT in Electric Drive System of EV

In the working process of the electric drive system, the transient, high-amplitude, high-frequency voltage and current generated by the turn-on and turn-off of the IGBT (Insulated Gate Bipolar Transistor) are the most important sources of electromagnetic interference in EVs (electric vehicles). To this end, this paper proposes an EMI (Electromagnetic interference) modeling method for IGBT power modules of electric drive systems, which can realize accurate simulation of EMI source characteristics. First, an expert system based on IGBT model library is proposed. Then the expert system is used to simulate the characteristic curves provided in the IGBT module datasheet and extract the key parameters. Based on the expert system, an IGBT behavioral model is established, and a double-pulse simulation circuit is built to evaluate the simulation waveforms of the collector-emitter voltage, gate-emitter voltage and collector current during the two pulse switching periods. At the same time, measure the collector-emitter voltage, gate-emitter voltage and collector current test waveforms collected in the above simulation test on the built double-pulse test circuit, and compare the turn-on and turn-off processes of the simulation and test respectively to evaluate the accuracy of the EMI source model. Finally, to further test the universality of the model, the IGBT behavior model and the double pulse simulation circuit are established on the Simulink platform, and the accuracy of the model is evaluated by comparing with the test waveform. The comparative analysis results show that the proposed EMI source modeling method for IGBT power module has good versatility and accuracy.
Two-stage Robust Management of PEV Parking Lots Coupled with Multi-energy Prosumers under Load and Energy Market Uncertainty

Development of multi-energy integration for the commercial/Industrial sector introduces a high level of interdependency between different energy carriers which requires integrated modeling of these multi-energy systems (MESs). Transportation electrification such as the integration of plug-in electric vehicles (PEVs) has the potential to have a significant effect on the operation of commercial MESs which are equipped with large scale PEVs' parking lots. Although the development of energy management models to optimally integrate PEVs into MES leads to higher benefits, the associated operational uncertainties can bring additional costs for system operators. Ignoring these uncertainties can result in nonoptimal or even infeasible operational solutions for MES facilities. In this paper, a two-stage robust energy management model has been proposed for MESs equipped with PEV parking facilities to optimally schedule MES facilities and its interaction with upstream network, while, supplying the required PEV charging patterns, considering the uncertainties of MES loads and energy market prices. The proposed model is developed as a min-max-min optimization problem which is solved through a column-and-constraint methodology, recasting the tri-level problem into a first-stage min problem and a second-stage maxmin problem. The second-stage problem is solved through duality theory and Big-M linearization technique. A comprehensive case study has been conducted to evaluate the effectiveness of the proposed model. According to the obtained results, MESs are able to supply PEVs and multi-energy loads, while participating in upstream network energy market with operational solutions that are robust against uncertainties, resulting in extra benefits and lower operational costs.
Transfer and Visualization of the Data in Intelligent Environment

The aim of this paper is to create intelligent environment based on prototype platform, which is applicable in the area of the Internet of Things. Created intelligent environment allows to receive and send data in real time between the given setting and the user. Communication takes place between prototype platform Raspberry Pi created by us which communicates via script in Python and subsequently sends measured data to cloud service Firebase. Part of the intelligent environment consists of multiple sensors, which are used to control and collect data. Part of the implementation is also a web interface with the help of which the user can display the current measured values, which are visualized for better clarity. We can confirm that we do not need overpriced equipment to create appropriate intelligent environment and that we can substitute them with cheaper alternative, which this research proves.
Application to Biomaterial of a Vibration Exciter for Ultrasonic Controlled Growing Rod System*

Scoliosis is a symptom of the deformation of the backbone, and a few percentage of teenagers suffer from it. The patient needs to receive the operational surgery, if the curve of backbone is over the certain degrees. In the surgery, pedicle screws are planted in the backbone, and fixed by the straight rod. And the surgical operation is given many times until the patient stops growing up, since the backbone is extension according to growth of the patient. Therefore, a method that the surgical operation is not necessary is desirable. We have developed a growing rod that is able to be controlled using an ultrasonic vibration. In the previous work, the primitive principle of the growing rod was proposed, and were verified by some experiments in an ideal state. It is important to verify the proposed principle using the biomaterial to progress the nextstage (the crinical trials). In this paper, the proposed method is verified using biomaterial that is the meat with bone for food. And, the extension force that occurs in the backbone is discussed, since the length of the gap of the backbone becomes large according to growth of the patient. As a result, it is clear that the extend force of the rod is proportional to the magnitude of the extend force that occurs in spine. Therefore, the extension of the rod stop naturally, if the force in the backbone is released. We confirm that this method has safety.
The Problem of the Research Problem: Flipping the Scientific Methodology Classes

The objective of the research is to investigate how the active methodologies PBL and Flipped Classroom were developed to refine and define the "research problem" in disciplines of scientific methodology, by the students, in an environment that applies different technological resources. A methodology was created for the development of the work in a case study, which includes the steps of defining the tools for analyzing the "research problem" and evaluate the flipped class, application of the first problem refinement class, evaluation of the refinement class, application of the problem definition class, evaluation of the definition class and evaluation of the process as a whole. It is concluded that the application was successful, especially in the flipped class of refinement of the problem, but that the other steps can be replicated, adapting to new contents and needs.
Synergistic Modulation of Synaptic Plasticity in IGZO-Based Photoelectric Neuromorphic TFTs

Neuromorphic devices are of great significance for next generation energy-efficient brain-like computing and perception. Oxide-based photoelectric neuromorphic transistors are very promising due to the proton-related electric-double-layer (EDL) effect and persistent photoconductivity behavior. In this study, indium-gallium-zinc-oxide (IGZO)-based photoelectric neuromorphic thin-film transistors (TFTs) with tunable synaptic plasticity are proposed. Some important synaptic functions, such as excitatory postsynaptic current, multipulse facilitation, and long-term plasticity, can be effectively tuned by the photoelectric synergistic modulation. More importantly, under the photoelectric synergistic modulation, the temporary short-term memory can be converted into permanent long-term memory. And the voltage coordinated modulation can enhance the image in the pixel and the ability of real-time data processing of the input visual information. Our results are very important for the development of photoelectric neuromorphic devices with configurable dynamic functions.
Identification of a Rearranged-Substrate, Product Radical Intermediate and the Contribution of a Product Radical Trap in Vitamin B12 Coenzyme-Dependent Ethanolamine Deaminase Catalysis

The radical intermediate present during steady-state turnover of substrate aminoethanol by ethanolamine deaminase from Salmonella typhimurium has been characterized by using X-band electron paramagnetic resonance (EPR) spectroscopy. The radical intermediate was prepared by cryotrapping enzyme, aminoethanol substrate, and vitamin B12 coenzyme (adenosylcob(III)alamin) immediately following mixing. Natural abundance, 1,1,2,2-2H4-, 2-13C-, and 1,2-13C2-aminoethanol were used as substrates. The EPR spectrum obtained for natural abundance aminoethanol shows a broad feature at approximately g = 2.3 that arises from CoII in cob(II)alamin, and a feature from an organic radical that has an absorption maximum at g = 2.02 and a line width of 10.8 mT. The EPR line shape is characteristic of a relatively weakly electron spin-coupled CoII-organic radical system. The EPR line shapes for the 2H- and 13C-labeled substrates were narrowed and broadened by 0.7 and 2.4 mT, respectively, demonstrating that the radical is substr.
Automatic Extraction of Dublin Core Metadata from Presidential E-records

This paper describes how methods of natural language processing, grammatical description and parsing can be uses to recognize the document types of records distributed by the White House Press Office. It is also described how Dublin Core metadata can be extracted from these records to improve access to those records via Faceted Search. The applications being developed have broad potential use in the Presidential Libraries. Research issues being explored include automatic induction of grammars for defining document types and automatic methods for identifying related presidential records.