Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytotoxicity of targeted PLGA nanoparticles: a systematic review

Recent advances in nanotechnology have contributed tremendously to the development and revolutionizing of drug delivery systems in the field of nanomedicine. In particular, targeting nanoparticles based on biodegradable poly(lactic-co-glycolic acid) (PLGA) polymers have gained much interest. However, PLGA nanoparticles remain of concern for their effectiveness against cancer cells and their toxicity to normal cells. The aim of this systematic review is to identify a promising targeting PLGA nanoformulation based on the comparison study of their cytotoxicity potency in different cell lines. A literature search was conducted through the databases of Google Scholar, PubMed, ScienceDirect, Scopus and SpringerLink. The sources studied were published between 2009 and 2019, and a variety of keywords were utilized. In total, 81 manuscripts that met the inclusion and exclusion criteria were selected for analysis based on their cytotoxicity, size, zeta potential, year of publication, type of ligand, active compounds and cell line used. The half maximal inhibitory concentration (IC50) for cytotoxicity was the main measurement in this data extraction, and the SI units were standardized to μg mL−1 for a better view of comparison. This systematic review also identified that cytotoxicity potency was inversely proportional to nanoparticle size. The PLGA nanoparticles predominantly exhibited a size of less than 300 nm and absolute zeta potential ∼20 mV. In conclusion, more comprehensive and critical appraisals of pharmacokinetic, pharmacokinetic, toxicokinetic, in vivo and in vitro tests are required for the investigation of the full value of targeting PLGA nanoparticles for cancer treatment.
FLOW AND HEAT TRANSFER IN PRESSURIZED WATER REACTOR REFLOOD

In a pressurized water rector (PWR), following a postulated large break loss of coolant accident (LBLOCA) an important stage in the recovery of the core is the reflood process in which the core is reflooded (rewetted) by water injected from the emergency core cooling system (ECCS). This review summarises the studies which have been carried out on the reflood process. Despite all the work that has been done, it is concluded that there is still a need for improved basic understanding of the detailed processes occurring, and in particular the nature of the fluid/hot solid interactions in the close vicinity of the rewetting front.
Combining feature selection and hybrid approach redefinition in handling class imbalance and overlapping for multi-class imbalanced

In the classification process that contains class imbalance problems. In addition to the uneven distribution of instances which causes poor performance, overlapping problems also cause performance degradation. This paper proposes a method that combining feature selection and hybrid approach redefinition (HAR) method in handling class imbalance and overlapping for multi-class imbalanced. HAR was a hybrid ensembles method in handling class imbalance problem. The main contribution of this work is to produce a new method that can overcome the problem of class imbalance and overlapping in the multi-class imbalance problem. This method must be able to give better results in terms of classifier performance and overlap degrees in multi-class problems. This is achieved by improving an ensemble learning algorithm and a preprocessing technique in HAR using minimizing overlapping selection under SMOTE (MOSS). MOSS was known as a very popular feature selection method in handling overlapping. To validate the accuracy of the proposed method, this research use augmented R-Value, Mean AUC, Mean F-Measure, Mean G-Mean, and Mean Precision. The performance of the model is evaluated against the hybrid method (MBP+CGE) as a popular method in handling class imbalance and overlapping for multi-class imbalanced. It is found that the proposed method is superior when subjected to classifier performance as indicate with better Mean AUC, F-Measure, G-Mean, and precision.
Modélisation de la formation des structures et des microporosités durant la solidification d'alliages d'aluminium

Cette these s’inscrit dans le projet PRINCIPIA (PRocedes INdustriels de Coulee Innovants Pour l'Industrie Aeronautique) de l’ANR MATETPRO (Materiaux et Procedes pour des Produits Performants). L'objectif de ce projet est la promotion de nouveaux alliages aluminium-cuivre-lithium a destination de l'industrie aeronautique afin d'apporter une alternative aux composites. Cependant, ces alliages sont sujet a une importante porosite pour deux raisons : une forte solubilite a l'hydrogene et une facilite d'oxydation. Dans ce projet, le but de la these etait d'etablir un modele de prediction de la porosite a l'echelle du produit. La porosite se forme lors de la solidification de l’alliage a cause d'une plus faible solubilite de l'hydrogene dans le solide. La teneur en hydrogene dans la phase liquide va augmenter par segregation et provoquer la nucleation des pores. Il est donc necessaire de prendre en compte la solidification dans la modelisation de la porosite. De plus, la composition locales modifie la cinetique de croissance des pores et la microstructure exerce une contrainte mecanique sur les pores qui modifie leur equilibre chimique. Apres une premiere partie consacree a ameliorer les connaissances sur les phenomene de transport dans la coulee semi-continue d'aluminium, nous avons modelise la formation de porosite en se basant sur les modeles disponibles. Le modele a reproduit l'inhomogeneite de la porosite observee experimentalement sur une plaque d'alliage aluminium-magnesium. L'analyse nous a montre que la limitation de la croissance par le temps de diffusion de l'hydrogene etait responsable de ce profil particulier. La densite volumique des pores est critique pour la limitation de la croissance par la diffusion de l’hydrogene. En fonction de la densite, la croissance passe d'une croissance limitee a une croissance non limitee
Recent progress in random number generator using voltage pulse-induced switching of nano-magnet: A perspective

Voltage pulse-driven switching of nano-magnets has gained distinct attention because of its high-speed writing with ultralow power consumption. One of the key advantages is that the external voltage applied to a nano-magnet reduces the magnetic anisotropy energy and excites a precessional motion of magnetization. By adjusting the duration and amplitude of the voltage pulse, a switching probability close to 50% can be attained, suggesting that the magnetic state of nano-magnets can be used as a source for generating binary random numbers (RNs) in principle. Because the bi-directional switching of nano-magnets is induced by unipolar voltage pulses, which is essentially different from the case of spin transfer torque (STT) switching, the results are a mixture of two switching polarities: from parallel (“0” state) to antiparallel (“1” state) and vice versa. Here, we focus our attention on the appearance probabilities of four cases, “00,” “01,” “10,” and “11,” all of which change linearly as functions of voltage. By tuning the probabilities of “00” or “11” to 25%, well-balanced RNs can be generated. A clear advantage of the voltage-pulse driven random number generator (RNG) over the conventional STT-driven one is lower consumption, which enables integration and heavily parallel operations of a large number of RNGs.
A new multi-decision based on Bayesian decision tree algorithm for ship recognition

Ship recognition is a key topic for intelligent shipping in canal. A new multi-decision algorithm based on Bayesian decision tree is proposed. The algorithm combine three Convolutional Neural Networks module - VGG, VGG19 and ResNet to get a better classify result. A quantization method is adopt to quantize the output of these network. A new method based on decision tree construct algorithm is proposed to improve the accurate of decision tree. In experiment, implement a various compared algorithms to prove the algorithm has better performance.
Seasonal Variations of Volcanic Ash and Aerosol Emissions around Sakurajima Detected by Two Lidars

Two polarization-sensitive lidars were operated continuously to monitor the three-dimensional distribution of small volcanic ash particles around Sakurajima volcano, Kagoshima, Japan. Here, we estimated monthly averaged extinction coefficients of particles between the lidar equipment and the vent and compared our results with monthly records of volcanic activity reported by the Japan Meteorological Agency, namely the numbers of eruptions and explosions, the density of ash fall, and the number of days on which ash fall was observed at the Kagoshima observatory. Elevated extinction coefficients were observed when the surface wind direction was toward the lidar. Peaks in extinction coefficient did not always coincide with peaks in ash fall density, and these differences likely indicate differences in particle size.
How to Better Identify Venture Capital Network Communities: Exploration of A Semi-Supervised Community Detection Method

: In the ﬁeld of Venture Capital (VC), researchers have found that VC companies are more likely to jointly invest with other VC companies. This paper attempts to realize a semi-supervised community detection of the VC network based on the data of VC networking and the list of industry leaders. The main research method is to design the initial label of community detection according to the evolution of components of the VC industry leaders. The results show that the community structure of the VC network has obvious distinguishing characteristics, and the aggregation of these communities is affected by the type of institution, the source of capital, the background of personnel, and the ﬁeld of investment and the geographical position. Meanwhile, by comparing the results of the semi-supervised community detection algorithm with the results of community detection using extremal optimization, it can be shown to some extent that the semi-supervised community detection results in the VC network are more accurate and reasonable.
Challenges and Corresponding Solutions of Generative Adversarial Networks (GANs): A Survey Study

Generative Adversarial Networks (GANs) are an innovative class of deep learning generative model that has been popular among academics recently. GANs are able to learn distributions on complex high-dimensional data which made it efficient in images and audio processing. Nevertheless, in the training of GANs, some major challenges exist namely mode collapse, non-convergence, and instability. In recent years, in order to overcome these challenges, researchers have proposed many variants of GANs by redesigning network architecture, changing the form of objective functions, and altering optimization algorithms. In this research, we conducted a comprehensive investigation on the progress of GANs design and optimization solutions. Finally, according to the classification method, we provided a problem-solving structure to solve conquer the GANs training challenges.
AN EXPERIMENTAL STUDY OF H2 AND CO2 ADSORPTION BEHAVIOR OF C-MOF-5 AND T-MOF-5: A COMPLEMENTARY STUDY

In this paper the cubic and tetragonal structure of MOF-5 were successfully synthesized and characterized by TGA and SEM analysis. Equilibrium adsorption isotherms of C-MOF-5 and T-MOF-5 for H2 and CO2 were measured up to 25 bar at 298 K using a volumetric method. The C-MOF-5 adsorbent synthesized in this study had a 0.107 and 79.9 wt% adsorption capacities at 298 K and 25 bar for H2 and CO2, respectively. T-MOF-5 had a H2 adsorption capacity of 0.122 wt% and CO2 adsorption capacity of 67.6 wt% at 298 K and 25 bar. This behavior was attributed to more ZnO units in the T-MOF-5 structure. The difference between H2 and CO2 adsorption capacity for the cubic and tetragonal structure of MOF-5, suggests that C-MOF-5 and T-MOF-5 are potential adsorbents for the separation of CO2 and H2 from gas mixtures, respectively. Langmuir, Freundlich and Sips isotherm models were used to correlate the adsorption isotherms. The results showed that, at 298 K, the fit of the Sips isotherm to the experimental datawas better than Langmuir and Freundlich isotherms. According to TGA results, the thermal decomposition of C-MOF-5 requires a higher temperature than T-MOF-5.
Comparing the Online Posting Behaviors of Violent and Non-Violent Right-Wing Extremists

ABSTRACT Despite the ongoing need for researchers, practitioners, and policymakers to identify and assess the online activities of violent extremists prior to their engagement in violence offline, little is empirically known about their online behaviors generally or differences in their posting behaviors compared to non-violent extremists who share similar ideological beliefs particularly. In this study, we drew from a unique sample of violent and non-violent right-wing extremists to compare their posting behaviors within a sub-forum of the largest white supremacy web-forum. Analyses for the current study proceeded in three phases. First, we plotted the average posting trajectory for users in the sample, followed by an assessment of the rates at which they stayed active or went dormant in the sub-forum. We then used logistic regression to examine whether specific posting behaviors were characteristic of users’ violence status. The results highlight a number of noteworthy differences in the posting behaviors of violent and non-violent right-wing extremists, many of which may inform future risk factor frameworks used by law enforcement and intelligence agencies to identify credible threats online. We conclude with a discussion of the implications of this analysis, its limitations and avenues for future research.
Seeded optical parametric generation in CdSiP2 pumped by a nanosecond pulsed, MHz repetition rate Raman fiber amplifier at 1.24 μm

We report a CdSiP2 (CSP) based seeded optical parametric generator (OPG), emitting sub-nanosecond duration, 3 MHz repetition rate, wavelength tunable mid-infrared (MIR) light at 4.2-4.6 μm. We generate up to 0.25 W at 4.2 μm with a total pump conversion efficiency of 42%. The OPG is pumped by a 1.24 μm Raman fiber amplifier system. This is the first demonstration of pumping CSP with a Raman fiber source in this region, and we show that Raman fiber sources in the near-infrared (NIR) are ideal pump sources for non-critically phasematched (NCPM) CSP devices. Pumping CSP at 1.24 μm permits the use of NCPM whilst decreasing the negative effects of both two-photon absorption and linear absorption losses, when compared to conventional 1 μm pumping. This offers a potential advantage for MIR power scaling of CSP parametric devices due to a reduced thermal load in the crystal from residual pump absorption. The OPG is seeded with a continuous-wave fiber supercontinuum source emitting radiation in the 1.7 μm region, to lower the threshold pump intensity required for efficient conversion. NCPM and temperature tuning of the crystal allow for simple wavelength tuning of the idler radiation. We report on laser damage induced by elevated crystal temperatures, which we propose is linked to the decrease in CSP bandgap energy with increasing temperature.
Cloud Applications Adoption: User Study Survey From Industry and Academia

Cloud computing has changed the ways software systems are developed, deployed, and managed. Even though cloud computing could reduce cost, time to market, and increase the scalability of applications and systems, there are some debates about the actual adoption of cloud computing in general and cloud applications in particular by organizations from both, industry and academia, and whether stakeholders of organizations look for them as opportunities or risks. To answer these debates, we conducted a user study that included professionals from industry and academia, with various experience levels and job-roles, to be able to get a common understanding of the real value of cloud computing. In particular, the study included questions about the preferred approach of developing green-ﬁeld applications and the availability of resources and expertise. In addition, it included questions about the cost of development, maintainability, and operations of cloud applications. The results of the user study are presented and discussed, and we believe that it is promising and could be used as the base of future directions of research and technology innovation.
Copper(II) Adsorption Studies Using Models of Synthetic Humic Acids

A polymer with characteristics similar to those of humic acids was obtained by synthesis reactions from oxidative polymerization in an alkaline medium using para-benzoquinone,hydroquinone and 4-aminobenzoic acid as precursors.Samples of natural and synthetic humic acid were used to examine the adsorption behavior of Cu 2+ on these substrates.The mathematical models described by Langmuir and Freundlich equations were applied,yielding the maximum adsorption intensity values K′(Langmuir),maximum adsorption capacity,b(Langmuir) and the adsorbent adsorption capacity,m(Freundlich). Based on solubility studies,pH3 was selected for the development of the adsorption experiment.The Cu2 +presented a favorable adsorption,with RL(equilibrium parameter)responses in Langmuir isotherms falling within the desirable ranges.
Addressing Cold Start New User in Recommender System Based on Hybrid Approach: A review and bibliometric analysis

Increasing number of internet users today, the use of e-commerce becomes a very vital need. One of the keys that holds the success of the e-commerce system is the recommendation system. Collaborative filtering is the popular method of recommendation system. However, collaborative filtering still has issues including data sparsity, cold start, gray sheep, and dynamic taste. Some studies try to solve the issue with hybrid methods that use a combination of several techniques. One of the studies tried to solve the problem by building 7 blocks of hybrid techniques with various approaches. However, the study still has some problems left. In the case of cold start new users, actually, the method in the study has handled it with matrix factorizer block and item weight. But it will produce the same results for all users so that the resulting personalization is still lacking. This study aims to map an overview of the themes of recommendation system research that utilizes bibliometric analysis to assess the performance of scientific articles while exposing solution opportunities to cold start problems in the recommendation system. The results of the analysis showed that cold start problems can be solved by utilizing social network data and graph approaches.
Stabilisation for upper-triangular nonlinear systems subject to time-delay via sampled-data control and its applications

This paper investigates the stabilization problem for upper-triangular nonlinear systems subject to time-delay by using sampled-data control. In order to make the design process more feasible, the coordinate transformation is introduced to generate a scaling gain. Then the linear observer is constructed and the sampled-data controller is obtained based on the estimated states. Under the upper-triangular linear growth assumption and Lyapunov method, the suitable parameters can be selected to make the system achieve globally stable. It can be proved that the proposed method can also be extended to the system with multiple time delays. Finally, the effectiveness of the designed controller is demonstrated by using numerical and practical examples.
HALE UAV ITB perpetual flight

The challenge developing High Altitude Long Endurance (HALE) UAV is to obtain the ability endurance of more than 24 hours (perpetual flight). The ability to fly for a long time needs to consider: high aerodynamic efficiency, high motor-prop efficiency, hybrid battery-solar panel energy source, light weight structures, efficient control, and optimum flight mission. This paper discusses about strategy, method and requirements to calculate perpetual flight mission for the case of HALE UAV ITB.
Optimal Multi-Antenna Transmission for the Cooperative Non-Orthogonal Multiple-Access System

We investigate the beamforming for the multi antenna cooperative non-orthogonal multiple access (NOMA) system, where an access point (AP) delivers messages for multiple user terminals (UT) with successive interference cancellation (SIC) reception method. Some UTs with multiple antennas cooperate with the AP transmission to improve the diversity and the average power performance. We formally present two optimal beamforming schemes at the AP and at the cooperative UTs. One scheme has no power limitation for the cooperative UTs, while the other one does have such limitation. We guarantee that the rank one beamformer is sufficient to achieve the optimal points so that the proposed schemes have rank one semi-definite programming (SDP) structure. Simulation results show the performance gain of the multi-antenna cooperative NOMA schemes in the sense of diversity and the average power.
T-history method: the importance of the cooling chamber to evaluate the thermal properties of Glauber’s salt-based phase change materials

Phase change materials (PCMs) are very interesting latent heat storage systems used for various thermal energy storage applications, such as in energy-conserving buildings. Both organic compounds (such as paraffins) and inorganic compounds (such as hydrated salts) were tested in this field. Since they are often heterogeneous materials because of additives, the study of their thermal properties is now addressed from the conventional calorimetry to new methods based on more significant samples to better describe the heterogeneous structure, such as the T-history method. It requires a simple and inexpensive unit, but this equipment is not commercially available and must be set up in a laboratory. Consequently, this method does not have a standard configuration and it is continuously improving. One of the critical units of the T-history-based equipment is the cooling chamber and its operating conditions, whose choice influences the results. In this work, three different cooling chambers were used in the analysis of the thermal properties of hexadecane and Glauber’s salt-based PCMs in order to verify the reliability and reproducibility of each system.
Silicon-rich silicon nitride CMOS platform for integrated optical phased arrays

Silicon nitride (SiNx), an associated CMOS photonics enabling material, provides a promising and complementary photonic platform for the development of low-cost CMOS compatible waveguides and related photonic components. We propose a 16 element - 2D scanning optical phased array circuit based on a Si-rich core, which reconciliates the requirements of power handling and field-of-view for automotive LiDAR. This dispersive optical phased array consists of wavelength-dependent grating coupler antenna arrays and spiral-delay lines that allow achieving a field-of-view of (35°x 17°) and an angular resolution of (0.15°x1.2°).
Near-surface physics during convection affecting air-water gas transfer

The gas flux at the water surface is affected by physical processes including turbulence from wind shear, microscale wave breaking, large-scale breaking, and convection due to heat loss at the surface. The main route in the parameterizations of the gas flux has been to use the wind speed as a proxy for the gas flux velocity, indirectly taking into account the dependency of the wind shear and the wave processes. The interest in the contributions from convection processes has increased as the gas flux from inland waters (with typically lower wind and sheltered conditions) now is believed to play a substantial role in the air-water gas flux budget. The gas flux is enhanced by convection through the mixing of the mixed layer as well as by decreasing the diffusive boundary layer thickness. The direct numerical simulations performed in this study are shown to be a valuable tool to enhance the understanding of this flow configuration often present in nature.