bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of detection of a single line to ground fault based on ABCNN algorithm
Authors: Jabbar Feryal Ibrahim , Soomro DurMuhammad , Hasan Tawafan Adnan , Noor bin Abdullah Mohd , Radzi Nur Hanis binti Mohammad , Hussain Baloch Mazhar
Published: January 2021

One of the most faults found in the electrical distribution network is a single line to ground fault (SLGF). It can be detected and rectified through many methods. The utilization of Peterson coil (PC), reduces the electrical arcs and make the distribution network safe from damage in contrast to the cost value. This paper focuses on the method for its detection on higher and lower values of the ground fault current (GFC). Moreover, it will identify the capacitance and earth leakage of earthling network lines as well as calculate the opposing inductance to compensate for the cause. It also presents the selfextinguishing of GFC by controlling PC through one of the novel optimization techniques called adaptive and artificial bee colony with network neural (ABCNN) to improve the algorithm's performance, like optimization efficiency, speed, solution, and iteration. As a result, the determination of the GFC equals the sound phase current. Also, the extinguishing of an electric arc results in a short time compared with classical methods. The significant advantage of this research is the increment in the system's reliability, protection of devices as well as saving in copper cost. MATLAB was used to carry out this research. For the validity, the proposed algorithm results were compared with the classical method by creating faults on separate phases also.
Hyperspectral image classification using support vector machines
Authors: Harikiran Jonnadula Dr.J.Harikiran
Published: January 2021

In this paper, a novel approach for hyperspectral image classification technique is presented using principal component analysis (PCA), bidimensional empirical mode decomposition (BEMD) and support vector machines (SVM). In this process, using PCA feature extraction technique on Hyperspectral Dataset, the first principal component is extracted. This component is supplied as input to BEMD algorithm, which divides the component into four parts, the first three parts represents intrensic mode functions (IMF) and last part shows the residue. These BIMFs and residue image is further taken as input to the SVM for classification. The results of experiments on two popular datasets of hyperspectral remote sensing scenes represent that the proposed-model offers a competitive analyticalperformance in comparison to some established methods.
Intelligent multimodal identification system based on local feature fusion between iris and finger vein
Authors: Abbas Abed Enas , Jassim Mohammed Rana , Taha Shihab Dhafer
Published: January 2021

Biometric identification systems, which use physical features to check a person's identity, ensure much higher security than password and number systems. Biometric features such as the face or a fingerprint can be stored on a microchip in a credit card, for example. A single modal biometric identification system fails to extract enough features for identification. Another disadvantage of using only one feature is not always readable. In this article, a smart multimodal biometric verification model for identifying and verifying a person's identity is recommended based on artificial intelligence methods. The proposed model is identified the iris and finger vein unique patterns each individual to overcome many challenges such as identity fraud, poor image quality, noise, and instability of the surrounding environment. Several experiments were performed on a dataset containing 50 people by using many matching methods. The results of the proposed model were provided a higher accuracy of 98%, with FAR and FRR of 0.0015% and 0.025%, respectively.
The impact of user involvement in software development process
Authors: Bin saif Nouf , Almohawes Mashael , Mohd Jamail Nor Shahida
Published: January 2021

In software development process, user can take part in any phase of the process, depending on what model is being applied. Lack of user involvement can result in a poorly designed solution, or even a solution that conflicts with user’s needs. This review paper presents the impact of user involvement in software development process. In this study, different software development processes will be reviewed, show where the user usually gets involved in different models such as: Structural (Waterfall, V-model) and incremental (Scrum-extreme programming XP). As each model differs from the other, each of them has a different perspective of where user should take part and where they should not. This can be an asset that helps project managers, and leaders to develop suitable strategies to follow in their projects.
Data mining approach to analyzing intrusion detection of wireless sensor network
Authors: Alauddin Rezvi Md , Moontaha Sidratul , Akter Trisha Khadija , Tasnim Cynthia Shamse , Ripon Shamim
Published: January 2021

Wireless sensor network (WSN) is a collection of wireless sensor nodes which are distributed in nature and a base station where the dispersed nodes are used to monitor and the physical conditions of the environment is recorded and then these data are organized into the base. Its application has been reached out from critical military application such as battlefield surveillance to traffic, health, industrial areas, intruder detection, security and surveillance. Due to various features in WSN it is very prone to various types external attacks. Preventing such attacks, intrusion detection system (IDS) is very important so that attacker cannot steal or manipulate data. Data mining is a technique that can help to discover patterns in large dataset. This paper proposed a data mining technique for different types of classification algorithms to detect denial of service (DoS) attacks which is of four types. They are Grayhole, Blackhole, Flooding and TDMA. A number of data mining techniques, such as KNN, Naïve Bayes, Logistic Regression, support vector machine (SVM) and ANN algorithms are applied on the dataset and analyze their performance in detecting the attacks. The analysis reveals the applicability of these algorithms for detecting and predicting such attacks and can be recommended for network specialist and analysts. 
Smart Fire Detector utilizing IoT-based Zigbee Sensor
Authors: Park Jung kyu
Published: January 2021

There are several differences between the two types of alarm systems, conventional systems and addressable systems. It is important to carefully determine the introduction of a fire alarm system according to the installation environment. Talking about the main difference relates to how the connected device communicates with the main control panel by sending a signal. Cost is another factor that can be a determinant of your chosen fire alarm system. In this paper, we proposed smart addressable fire detection system. In the proposed system, IoT was used and the network was constructed using ZigBee module. In the configured network, it consists of a local server and a control server. The local server controls the addressing sensor and sends the information obtained from the sensor to the control server. The control server receives data transmitted from the local server and enables quick fire action. In the actual implementation, the local server used the Lycra controller and ZigBee module. In addition, the control server used the Raspberry Pi and ZigBee modules and connected to the Ethernet so that the administrator could monitor or control the local server.
artificial bee colony optimization algorithm for adaptive power scheduling in an isolated system
Authors: M. Joy Vijo , Krishnakumar S.
Published: January 2021

The objective of this work is to solve the power scheduling problems for efficient energy management by assigning the optimal values. Artificial neural networks are used widely in the field of energy management and load scheduling. The backpropagation technique is used for the feed-forward neural network training and the levenberg-marquardt algorithm is used to minimize the errors. The slow speed of convergence and getting stuck in local minima are some negatives of backpropagation in complex computation. To overcome these drawbacks an innovative meta-heuristic search algorithm called modified artificial bee colony optimization algorithm is used. A hybrid neural network is introduced in this work. The simulation result shows that the efficiency of the system is improved when hybrid optimization is used. With this method, the system achieves an optimal accuracy of 99.23%.
Analytical solutions of linear and non-linear incommensurate fractional-order coupled systems
Authors: Albadarneh Ramzi B. , Batiha Iqbal M. , Tahat Nedal , N. Alomar Abdel-Kareem
Published: January 2021

In this paper, a new analytical method is developed for solving linear and non-linear fractional-order coupled systems of incommensurate orders. The system consists of two fractional-order differential equations of orders . The proposed approach is performed by decoupling the system into two fractional-order differential equations; the first one is a fractional-order differential equation (FoDE) of one variable of order , while the second one depends on the solution of the first one. The general solution of the coupled system is obtained using the adomian decomposition method (ADM). The main ideas of this work are verified via several examples of linear and nonlinear systems, and the numerical simulations are performed using Mathematica.
Indonesian license plate recognition with improved horizontal-vertical edge projection
Authors: Nurhaida Ida , Nududdin Imam , Ramayanti Desi
Published: January 2021

License plate recognition (LPR) is one of the classical problems in the field of object recognition. Its application is very crucial in the automation of transportation system since it helps to recognise a vehicle identity, which information is stored in the license plate. LPR usually consists of three major phases: pre-processing, license plate localisation, optical character recognition (OCR). Despite being classical, its implementation faced with much more complicated problems in the real scenario. This paper proposed an improved LPR algorithm based on modified horizontal-vertical edge Projection. The method uses for detecting and localising the region of interest. It is done using the horizontal and vertical projection of the image. Related works proved that the modified horizontal-vertical edge projection is the simplest method to be implemented, yet very effective against Indonesian license plate. However, its performance gets reduced when specular reflection occurs in the sample image. Therefore, morphological operations are utilised in the pre-processing phase to reduce such effects while preserving the needed information. Eighty sample images which captured using various camera configurations were used in this research. Based on the experimental results, our proposed algorithm shows an improvement compared with the previous study and successfully detect 71 license plates in 80 image samples which results in 88.75% accuracy.
V2X Communication System With Non-Orthogonal Multiple Access: Outage Performance Perspective
Authors: Nguyen Tu-Trinh , Do Dinh-Thuan
Published: January 2021

To achieve low-latency and high-reliability (LLHR) for applications in the vehicle-toeverything (V2X) networks, the non-orthogonal multiple access (NOMA) based Long Term Evolution (LTE)-based is introduced a promising technology. NOMA-V2X provides higher spectrum efficiency compared with the orthogonal multiple access (OMA) based V2X. This study propose two-way relay assisted NOMA-V2X transmission by exploiting amplify-and-forward (AF) and full-duplex. We derive expressions of outage probability to evaluate performance of two vehicles and to improve the quality of service (QoS) for the device with the poor channel conditions. These expressions are further verified by Monte-Carlo simulations.
Performance enhancement of audio transmission based on LMMSE method
Authors: Al-Sultani Marwa , Hatem Haraa Raheem , Mohamed Wurod Qasim
Published: January 2021

The research in wireless communication has developed rapidly for the last decades as a result of raising the demand for efficient data transmission with more security and accuracy. This paper proposed a system based on the special multiplexing (SM) technique and linear minimum mean square error (LMMSE) detection method with the assistance of the hamming code as well as the interleaving techniques for a better enhanced performance of an audio transmission. Moreover, the comparison was done between the two systems for different antenna configurations and with the presence of two types of modulation: binary phase shift key and quateradure phase shift key. These systems are employed by Matlab simulation to show significant results in terms of enhancing the Rayleigh fading channel capacity, bit error rate (BER) and security as well as in recovering the transmitting audio signals. Each system has advantages than the others in one performance term respect to the other terms. The Simulation results have provided to prove and discuss our analysis.
Níveis hierárquicos da linguagem: a semiótica como pesquisa de método
Authors: Queiroz Zeno
Published: January 2021

Este artigo visa esclarecer como indução e dedução, operações cognitivas constituintes de abordagens científicas diversas, se fazem complementares na elaboração dos níveis hierárquicos da linguagem que fundamentam o fazer parafrásico da semiótica discursiva. Inicialmente, promove-se, por meio das propostas de Karl Popper, uma recensão filosófica que situa a tensão histórica entre os métodos indutivo e dedutivo no campo da pesquisa científica. Em seguida, mostra-se, mediante uma leitura pormenorizada de Semântica estrutural, como o nível metodológico da linguagem, para o qual está vocacionado o pensamento semiolinguístico, é, de fato e de direito, o principal lugar de negociação entre a adequação indutiva ao objeto e a coerência dedutiva da teoria. Por fim, avaliam-se sumariamente, a partir das lições deixadas por A. J. Greimas em sua obra inaugural, três tendências atuais no âmbito dos estudos semióticos.
"النار العاتية التي ذاقت من طعم وهج اللهيب:"
Authors: هاني رشوان
Published: January 2021

This article offers the first Arabic translation of a praise hymn dedicated to Ramsess II (d. 1213 B.C.E.), with philological and poetic commentaries. The text was carved on the facade of Abū Simbel temple twice because of its exceptional literary nature, as this study demonstrates. I discuss why Euro- American scholars were unable to separate the literary dimensions of the praise hymns from its political framework, and also tackle the pictorial nature of ancient Egyptian writing, providing the Arabic reader with the necessary instruments for understanding the several visual features that were creatively deployed by the writer to enhance the reading process of this particular praise hymn. I then trace the early foundations of premodern Arabic khiṭāba and its close relation to constructing oral/aural arguments in comparison with balāgha that deals with the literary devices of the Qur’ānic text.

This study breaks new ground in the discipline of comparative literature by establishing a collation between the two praise hymns of Ramsess II (d. 1213 B.C.E.) and Senwosret III (d. 1839 B.C.E.). This collation makes it possible to rediscover the way each eulogist built unique or similar images to describe the praised king. The article discusses several problematic questions of loanwords to pave the way for further research on ancient Egyptian words that were incorporated inside the classical Arabic dictionary, and the analysis ends with an ancient Egyptian-Arabic lexicon of the hymn under study. It is hoped that this may encourage the new generation of Egyptian Egyptologists to generate a comprehensive dictionary of the ancient Egyptian language based on direct engagement with ancient Egyptian literary texts.
Enhanced Suppression of Disulfide Cross-Linking Micelles Nanocarriers Loaded miR-145 Delivering System via Down-Regulation of MYC and FSCN1 in Colon Cancer Cells
Authors: Zhai Jingming , Zhu Yanliang , Liu Jiangbo , An Junling , Yu Yingjie , Li Yuanpei , Fan Yonggang
Published: January 2021

Colorectal carcinoma is a complex disease accounting for adenoma tumors and an aggressive phenotype, and the third leading cause of cancer death. In the past decades, miRNAs have been associated with molecular pathways of cancer and other diseases. The dysregulated miRNAs play an inhibitory
or promoting role in tumorigenesis. Therefore, restoration of tumor-suppressed microRNAs (miRNA) may offer novel therapeutic approaches for cancer treatment. Nevertheless, the poor bioavailability of miRNA due to their rapid enzymatic degradation is a critical barrier in cancer gene therapy.
To overcome this dilemma, we designed disulfide cross-linking micelles (DCM) nanocarrier for delivery of miR-145 to colon cancer cells and investigated its therapeutic efficacy in vitro and in vivo. Results indicated that the presence of DCM nanocarrier loaded with miR-145 enhanced
selective delivery of miR-145 and facilitated cellular uptake, significantly up-regulating miR-145 expression in HCT-116 cell lines. Consequently, the cell proliferation was inhibited by arresting cell cycle at the G1 phase. Further, apoptosis of HCT-116 cells treated with miR-145 complex
nanoparticles may be via downregulation of oncogenes MYC and FSCN1, predicting regulatory targets for miR-145. These results pave the way for further investigations into the potential of miR-145 complex nanocarrier for cancer gene therapy.
Encapsulation of Astragaloside with Matrix Metalloproteinase-2-Responsive Hyaluronic Acid End-Conjugated Polyamidoamine Dendrimers Improves Wound Healing in Diabetes
Authors: Zhang Dongping , Huang Qiang
Published: January 2021

Impaired wound healing that occurs in diabetics can result in many life-threatening complications associated with excessive expression of matrix metalloproteinases (MMPs), which mediate the proteolysis of major matrix constituents. In this study, the dendrimer polyamidoamine (PAMAM)
and the polysaccharide hyaluronic acid (HA) were connected through the substrate polypeptide (Gly-PLGLAG-Cys) of MMP-2 to obtain the MMP-2-responsive nanocarrier HA-pep-PAMAM. Insoluble astragaloside (ASI) was encapsulated in this nanocarrier to achieve controlled release at the site of intractable
wounds. The HA-pep-PAMAM-ASI was successfully prepared with an average diameter of 142.3 ± 28.9 nm. Immunohistochemical staining of the skin revealed that the hard-to-heal wounds of diabetic mice showed stronger expression of MMP-2 than the wounds of normal mice. HA-pep-PAMAM-ASI achieved
73.9% release in the presence of MMP-2, but only 13.5% in PBS. A dose-dependent effect of H2O2 on the proliferation of BJ and HaCaT cells was observed, and HA-pep-PAMAM-ASI treatment had the best antioxidant capacity with MMP-2 pretreatment. HA-pep-PAMAM-ASI significantly
increased GSH levels and reduced reactive oxygen species (ROS) levels to achieve antioxidant effects. The MMP-2-pretreated HA-pep-PAMAM-ASI group showed more improved cell proliferation and migration abilities. Compared with ASI group, the expression of all wound-repair-related genes in the
group of HA-pep-PAMAM-ASI was significantly increased, and HA-pep-PAMAM-ASI showed a pronounced in vivo therapeutic effect. Therefore, our results revealed that enzyme-responsive MMP-2-loaded PAMAM nanoparticles could promote wound healing in diabetes and may be a promising biomaterial
for treatment.
Magnesium Aminoclay (MgAC) as an Additive in Anti-Icing Mixture of Propylene Glycol Applied to Railway Electrical Wires: A Preliminary Study
Authors: Lee Jae-Young , Kim Yong-Ki , Nguyen Minh Kim , Bui Vu Khac Hoang , Lee Young-Chul
Published: January 2021

Ice accumulation on the surface of railway electrical wires can cause significant problems in the winter season. Different anti-icing liquids have been used to prevent the formation of ice on different surface substrates. The most common anti-icing liquids are ethylene glycol mixtures.
Recently, propylene glycol, due to its lesser toxicity, has been considered as an alternative anti-icing agent. However, propylene glycol mixtures have some limitations, in that their degradation can lead to corrosion of the metal substrate. As detailed in the literature, (3-aminopropyl)-triethoxysilane
(APTES), the precursor of magnesium aminoclay (MgAC), has been used to protect metal substrates from corrosion. In the present study we examined the potential of MgAC as an APTES-alternative additive in propylene glycol mixtures. The results showed that the anti-icing properties of the propylene
glycol mixtures were maintained in the presence of MgAC (at 0.1, 0.5, and 1.0 wt.% concentrations). Furthermore, MgAC's potential as a thickening agent was shown in the increased viscosity of the propylene glycol/MgAC mixtures relative to the propylene glycol mixtures. The addition of MgAC
also rendered the propylene glycol mixtures more hydrophilic. However, MgAC addition also led to corrosion due to the excess amounts of amine groups in the anti-icing solution. In this paper, the corrosion mechanism of MgAC is explained in the paper. In the future, the anti-icing and anticorrosion
properties of propylene glycol/MgAC mixtures at low concentrations (<0.1 wt.%) should be more fully investigated.
Leakage Current Analysis Method for Metal Insulator Semiconductor Capacitors Through Low-Frequency Noise Measurement
Authors: Kim Hyojung , Park Jongwoo , Kim Junehwan , Lee Nara , Lee Gaeun , Kim Soonkon , Choi Pyungho , Beak Dohyun , Song Jangkun , Choi Byoungdeog
Published: January 2021

Use of thinner oxides to improve the operating speed of a complementary metal-oxidesemiconductor (CMOS) device causes serious gate leakage problems. Leakage current of the dielectric analysis method has I–V, C–V, and charge pumping, but the procedure is very
complicated. In this premier work, we analyzed the leakage current of metal insulator semiconductor (MIS) capacitors with different initiators through low-frequency noise (LFN) measurement with simplicity and high sensitivity. The LFN measurement results show a correlation between power spectral
density (SIG) and gate leakage current (IG). MIS capacitors of hafnium zirconium silicate (HZS, (HfZrO4)1-x (SiO2)x) were used for the experiments with varying SiO2 ratio (x = 0, 0.1, 0.2)
of hafnium zirconium oxide (HZO, HfZrO4). As the SiO2 ratio increased, the leakage current decreased according to J–V measurement. Further, the C–V measurement confirmed that the oxide-trapped charge (Not) increased with increasing
SiO2 ratio. Finally, the LFN measurement method revealed that the cause of leakage current reduction was trap density reduction of the insulator.
Effect of Sacrificial AlN (Aluminum Nitride) Layer on the Deep Surface States of 4H-SiC
Authors: Son Woo-Young , Moon Jeong Hyun , Bahng Wook , Koo Sang-Mo
Published: January 2021

We investigated the effect of a sacrificial AlN layer on the deep energy level states of 4H-SiC surface. The samples with and without AlN layer have been annealed at 1300 °C for 30 minutes duration using a tube furnace. After annealing the samples, the changes of the carbon vacancy
(VC) related Z1/2 defect characteristics were analyzed by deep level transient spectroscopy. The trap energy associated with double negative acceptor (VC(2-/0)) appears at ˜0.7 eV and was reduced from ˜0.687 to ˜0.582
eV in the sacrificial AlN layer samples. In addition, the capture cross section was significantly improved from ˜2.1×10-14 to ˜3.8×10−16 cm−2 and the trap concentration was reduced by approximately 40 times.
Nano-Crossbar Weighted Memristor-Based Convolution Neural Network Architecture for High-Performance Artificial Intelligence Applications
Authors: Kim Kyojin , Eshraghian Kamran , Kang Hyunsoo , Cho Kyoungrok
Published: January 2021

Nano memristor crossbar arrays, which can represent analog signals with smaller silicon areas, are popularly used to describe the node weights of the neural networks. The crossbar arrays provide high computational efficiency, as they can perform additions and multiplications at the
same time at a cross-point. In this study, we propose a new approach for the memristor crossbar array architecture consisting of multi-weight nano memristors on each cross-point. As the proposed architecture can represent multiple integer-valued weights, it can enhance the precision of the
weight coefficients in comparison with the existing memristor-based neural networks. This study presents a Radix-11 nano memristor crossbar array with weighted memristors; it validates the operations of the circuits, which use the arrays through circuit-level simulation. With the proposed
Radix-11 approach, it is possible to represent eleven integer-valued weights. In addition, this study presents a neural network designed using the proposed Radix-11 weights, as an example of high-performance AI applications. The neural network implements a speech-keyword detection algorithm,
and it was designed on a TensorFlow platform. The implemented keyword detection algorithm can recognize 35 Korean words with an inferencing accuracy of 95.45%, reducing the inferencing accuracy only by 2% when compared to the 97.53% accuracy of the real-valued weight case.
Investigation of Thermal Stability of 0.6/1 kV Metal-Coated Carbon Fiber Cable and Joint
Authors: Kwon Ohmin , Kim Chongmin , Jeong Kiseok , Kim Youngseok
Published: January 2021

For this paper, we manufactured the 0.6/1 kV 3-core cable using metal-coated carbon fiber (MCF), which can be utilized for a cable screen layer. This cable can be applied to non-earthed system, and has a shielding property of more than 90% of braiding density. However, new joints and
methods are needed to connect the cables because carbon fiber has brittleness. Thus, the cable connection added a spring to the contact surface, reducing resistance and fiber brittleness. These cables and connection methods were evaluated for safety in a certain temperature, humidity and over-current
environments. From the results, the change of the external shape and contact resistance of the cable and the joint against the humidity and temperature were not significant, and the insulation breakdown did not occur in the withstanding voltage property of 3.5 kV for 5 min. No thermal deformation
of the cable and connections was observed at the current above the allowable current range; it can be used as stable as metal screen cable.
Flexible Thin Carbon Nanotube Web Film for Curved Heating Elements Under High Temperature Conditions
Authors: Ha Ji-Hwan , Song Hyeonjun , Kim Hyunwoo , Kim Dongearn , Jeong Youngjin , Park Sung-Hoon
Published: January 2021

Heating elements need a rapid heating property and long-term cycle stability when subjected to extreme temperatures. Carbon nanotube-based films can be used as ideal heating units owing to their superior electrical and thermal properties. However, carbon nanotube polymer composites
are not appropriate for extreme conditions such as high temperatures (300 °C) due to the poor thermal stability of the polymer matrix. In this study, we fabricated a carbon nanotube web film, comprising heating elements consisting of pure carbon nanotubes, through the direct spinning method.
The carbon nanotube web film has a microscale thickness. The carbon nanotube web film showed flexibility at high temperatures, while a fracture occurred in the case of the carbon nanotube polymer composite. We conducted electrical heating experiments on the curved carbon nanotube web film
to observe the heating uniformity and flexibility. The heating test is conducted on various curved form heaters. The carbon nanotube web film showed rapid heating properties and a uniform heat distribution (temperature departure of less than 3%) without thermal aggregation. The curved heating
units can be utilized in various applications such as functional clothes and de-icing systems having curved surfaces.
Effects of Mg Content on Electric and Mechanical Properties of Al–Zn–Cu Based Alloys
Authors: Kim Yong-Ho , Yoo Hyo-Sang , Lee Kyu-Seok , Lee Sung-Ho , Son Hyeon-Taek
Published: January 2021

Microstructure and properties of Al–2 wt.%Zn–1 wt.%Cu–xMg (x = 0.1, 0.3, 0.5, 0.7 wt.%) alloy extrusion materials were investigated. The lattice constants for the (311) plane increased to 4.046858, 4.048483, 4.050114 and 4.051149 Å with the addition
of 0.1, 0.3, 0.5, and 0.7 wt.% of elemental Mg. The average grain size of the as-extruded Al alloys was found to be 328.7, 297.7, 187.0 and 159.3 μm for the alloys with 0.1, 0.3, 0.5, and 0.7 wt.% Mg content, respectively. The changes in the electrical conductivity by the addition of elemental
Mg in Al–2 wt.%Zn–1 wt.%Cu alloy was determined, and it was found that for the addition of 0.1, 0.3, 0.5, and 0.7 wt.% Mg, the conductivity decreased to 51.62, 49.74, 48.26 and 46.80 %IACS. The ultimate tensile strength of Al–2 wt.%Zn–1 wt.%Cu–0.7 wt.%Mg alloy
extrusion was increased to 203.55 MPa. Thus, this study demonstrated the correlation between the electrical conductivity and strength for the Al–2 wt.%Zn–1 wt.%Cu–xMg alloys.
Annealing Behaviors of Al and Al–Mg–Si Alloy: A Real-Time Synchrotron X-ray Scattering Study
Authors: Liang Nan-Nan , Park Sae-Heum , Cho Tae-Sik , Han Seong-Goo
Published: January 2021

We have studied the annealing behaviors of pure Al (Al-1050) and Al–Mg–Si alloy (Al-6061) with plate-type using a real-time synchrotron X-ray scattering in vacuum. At room temperature (RT), the crystal domain size of Al phase in the Al–Mg–Si alloy was small as
70 nm, compared to that in the pure Al, 142 nm. The crystal Al phase in the Al–Mg–Si alloy has more thermal stability than that in the pure Al. The crystal Al phase in the Al–Mg–Si alloy was thermally stable in amount and size up to 250 °C. These are due to the
existence of intermetallic crystal Mg2Si phase, which is thermally stable in amount and size up to 250 °C.
Microstructure and Mechanical Properties of Commercially Pure Ti/Steel Joint Brazed by Zr–Ti–Ni Amorphous Filler Metal
Authors: Yoon Ken-Young , Kim Sang-Wook , Kim Jong-Kyun , Jung Taek-Kyun , Lim Seong-Sik , Hyun Soong-Keun
Published: January 2021

In this study, the characteristics of commercially pure titanium (hereinafter referred as CP-Ti)/Steel joints, brazed with Zr–Ti–Ni amorphous filler metal were analyzed. The effects of brazing temperature and time on the microstructure and joining strength of the CP-Ti/Steel
joints were investigated. It was observed that Ti diffused into stainless steel substrate formed a brittle reaction zone, which contained intermetallic compounds, such as τ (Ti5Cr7Fe17), (Fe, –Ni)Ti, and FeTi, observed at the joint interface. As the
brazing temperature and time increased, the width of the reaction layer in the joint was observed to increase. To suppress the oxidation of the substrates, the experiment was conducted at a cooling and heating speed of 100 °C/min, under a vacuum of 5×10−5 torr. The
joining strength was observed to be significantly affected by the brazing conditions, such as temperature and duration time. The shear strength test showed that the strength increased for 15 min and then sharply decreased. This was attributed to the formation of brittle intermetallic compounds,
like (Fe, Ni)Ti. The joint brazed at 880 °C for 15 min showed the maximum joining strength, of 216 MPa.
Oxidation Kinetics of Cu Alloys Containing Alkaline Earth Metals at Low Temperature
Authors: Ha Seong-Ho , Wahid Shah Abdul , Kim Bong-Hwan , Yoon Young-Ok , Lim Hyun-Kyu , Kim Shae K.
Published: January 2021

In this study, the oxidation behavior of Cu alloys containing two alkaline earth metals (i.e., Mg and Ca) at 500 °C was investigated. The Mg+Mg2Ca master alloy was used for the simultaneous addition of Mg and Ca into Cu. As a result of the oxidation test, all examined
samples showed weight gains that followed parabolic laws. Mg addition in Cu considerably slowed down the oxidation rate, while the use of the Mg+Mg2Ca master alloy as an alloying element for Mg led to an even further reduction in the oxidation rates at the testing temperature. The
phase diagrams with the oxygen partial pressure showed that the Ca and Mg-containing alloy resulted in the formation of CaO as the primary oxide and MgO as the secondary oxide. The improved oxidation resistance can be attributed to the mixed surface layer of CaO and MgO, which control the
growth rate of Cu2O.
Facile Preparation of Activated Carbon from Peanut Shell for Determination of Bisphenol A in Human Urine by High-Performance Liquid Chromatography
Authors: Shi Yanpeng , Zhang Lei , Shao Ji , Shan Xiaoyue , Ye Haipeng , Tan Siwei , Chen Jianrong , Wu Xilin
Published: January 2021

Herein, a facile and low-cost method for the preparation of activated carbon from peanut shell was developed for the first time for the fast extraction and determination of Bisphenol A in human urine. Bisphenol A was separated by EC-C18 column (250 mm×4.6 mm, 4 μm) and was
detected by VWD, with retention time for qualitative analysis and peak area for quantitation. The parameters, pH values of the urine, adsorbent dose, adsorption time and so on, were optimized to achieve the excellent extraction performance. The detection limit of Bisphenol A in human urine
was 1.0 ng · mL−1 (S/N = 3), and the standard curve was linear in the range of 5.0 ng · mL−1˜200.0 ng · mL−1 (r = 0.9993). The average recovery of Bisphenol A was 78.5˜96.2% at three spiked levels in
the range of 5.00 ng · mL−1˜200.00 ng·mL−1. The method was proved simple, practical and highly sensitive, which could satisfy the request for the determination of Bisphenol A in human urine.
Iron Nitride Nanopowders Prepared by High-Pressure Gas-Solid Reaction
Authors: Li Xiao-Qi , Li Zhi , Shi Tong-Tong
Published: January 2021

Fe4N nanopowders were prepared using specially-made high-pressure gas-solid reaction equipment, and their composition, morphology, and magnetic properties were analyzed by X-ray diffraction (XRD), transmission electron microscopy (TEM), and vibrating sample magnetometry (VSM).
An average particle size of 35 nm was obtained at 0.4 MPa, an ammonia-to-hydrogen ratio of 3:1, 623 K, in an ammonia solution for 2 h. The hysteresis loop displayed a thin and narrow shape at 673 K during VSM tests. The saturation magnetization (Ms) reached 169.80 emu/g.
Fabrication of Poly(methyl methacrylate) Nozzles for Electrohydrodynamic Printing
Authors: Cheng E. , Yang Xue , Yin Zhifu , Hu Wei , Li Lu , Zou Helin
Published: January 2021

Electrohydrodynamic (EHD) jet printing enables rapid prototyping high-resolution and low-cost lines with width of micrometer or even nanometer. However, EHD printing always suffers from nozzle clogging when the nozzle inner-diameter decrease to micro-scale. Thus fabrication of low cost
nozzles becomes significantly important. In this work, 50 μm wide and 12.5 μm deep PMMA (Polymethyl Methacrylate) nozzles were fabricated without using traditional expensive glass capillary pulling approach. To replicate PMMA nozzle with high precision, the embossing condition
was optimized according to replication precision, the deformation rate, and maximum stress. To nearly fully bond PMMA nozzle with intact PMMA microchannel, the bonding condition was optimized according the bonding rate and dimension loss of PMMA microchannel. The availability of the fabricated
PMMA nozzle was finally verified by EHD printing experiments.
RETRACTED ARTICLE: Inhibited MicroRNA-301 Restrains Angiogenesis and Cell Growth in Esophageal Squamous Cell Carcinoma by Elevating PTEN
Authors: Wang Bin , Hua Peiyan , Wang Ruimin , Li Jindong , Zhang Guangxin , Jin Chengyan , Zhang Yan
Published: January 2021

Objective

Esophageal squamous cell carcinoma (ESCC) is featured by early metastasis and late diagnosis. MicroRNA-301 (miR-301) is known to participate in diverse cancers. Nevertheless, effects of miR-301 on ESCC remain unexplored. Thus, we aim to explore the role of miR-301 in ESCC progression.

Methods

Expression of miR-301 and phosphatase and tensin homologue (PTEN) in ESCC tissues and cell lines was assessed. Next, the screened cells were treated with altered miR-301 or PTEN oligonucleotide and plasmid, and then, the colony formation ability, cell viability, migration, invasion, cell cycle distribution and apoptosis of ESCC cells were assessed. Moreover, tumor growth and microvessel density (MVD) were also assessed, and the targeting relationship between miR-301 and PTEN was affirmed.

Results

MiR-301 was upregulated, and PTEN was downregulated in ESCC tissues and cells. KYSE30 cells and Eca109 cells were selected for functional assays. In KYSE30 cells, inhibited miR-301 or overexpressed PTEN suppressed cell malignant behaviors, and silenced PTEN eliminated the impact of miR-301 inhibition on ESCC progression. In Eca109 cells, miR-301 overexpression or PTEN inhibition promoted cell malignant behaviors, and PTEN overexpression reversed the effects of miR-301 elevation on ESCC progression. The in vivo assay revealed that miR-301 inhibition or PTEN overexpression repressed ESCC tumor growth and MVD, and miR-301 elevation or PTEN reduction had contrary effects. Moreover, PTEN was targeted by miR-301.

Conclusion

Taken together, results in our study revealed that miR-301 affected cell growth, metastasis and angiogenesis via regulating PTEN expression in ESCC.
The role of β2 integrin in dendritic cell migration during infection
Authors: Altorki Tarfa , Muller Werner , Brass Andrew , Cruickshank Sheena
Published: January 2021

Background

Dendritic cells (DCs) play a key role in shaping T cell responses. To do this, DCs must be able to migrate to the site of the infection and the lymph nodes to prime T cells and initiate the appropriate immune response. Integrins such as β2 integrin play a key role in leukocyte adhesion, migration, and cell activation. However, the role of β2 integrin in DC migration and function in the context of infection-induced inflammation in the gut is not well understood. This study looked at the role of β2 integrin in DC migration and function during infection with the nematode worm Trichuris muris. Itgb2tm1Bay mice lacking functional β2 integrin and WT littermate controls were infected with T. muris and the response to infection and kinetics of the DC response was assessed.

Results

In infection, the lack of functional β2 integrin significantly reduced DC migration to the site of infection but not the lymph nodes. The lack of functional β2 integrin did not negatively impact T cell activation in response to T. muris infection.

Conclusions

This data suggests that β2 integrins are important in DC recruitment to the infection site potentially impacting the initiation of innate immunity but is dispensible for DC migration to lymph nodes and T cell priming in the context of T. muris infection.
Alterations in short-chain fatty acids and serotonin in irritable bowel syndrome: a systematic review and meta-analysis
Authors: Luo Mei , Zhuang Xiaojun , Tian Zhenyi , Xiong Lishou
Published: January 2021

Background

Short-chain fatty acids (SCFAs) and serotonin (5-hydroxytryptamine, 5-HT) may be associated with the pathogenesis of irritable bowel syndrome (IBS). There are some reports of alterations in SCFAs and 5-HT in IBS, but their results are inconsistent. We aimed to perform a meta-analysis to assess alterations in SCFAs and 5-HT in IBS patients and their potential role in the abnormal brain-gut-microbiota (BGM) axis.

Methods

Case–control studies detecting SCFAs and 5-HT in IBS patients were identified from PubMed, Web of Science, Cochrane Library, and Scopus databases to identify relevant articles up to September 2018. The standardized mean differences (SMDs) with 95% confidence intervals (CIs) of SCFAs and 5-HT were calculated by REVIEW MANAGER 5.3 to evaluate the alterations of 5-HT and SCFAs in IBS.

Results

Five studies on SCFAs and 5 on 5-HT in IBS patients were included. As compared to healthy controls (HCs), the SMDs of 5-HT in IBS patients was 2.35 (95% CI 0.46–4.24) and the SMDs of total SCFAs, acetic acid, propionic acid, and butyric acid in IBS patients were − 0.01 (95% CI − 0.57–0.55), − 0.04 (95% CI − 0.55–0.47), 0.07 (95% CI − 0.45–0.60), and − 0.00 (95% CI − 0.49–0.49), respectively.

Conclusions

There was an increase in 5-HT in blood of IBS patients, indicating the increased 5-HT in blood may be involved in IBS pathogenesis. However, there were no significant differences in SCFAs in feces between IBS patients and HCs. But the study did not differentiate between subgroups of IBS. These findings might provide insight for future studies of the BGM axis in the pathogenesis of IBS.

Mei Luo and Xiaojun Zhuang contributed equally to the writing of this article
Imaging features of hemangioma in long tubular bones
Authors: Cao Lei , Wen Jin-Xu , Han Shu-Man , Wu Hui-Zhao , Peng Zhi-Gang , Yu Bao-Hai , Zhong Zhi-Wei , Sun Tao , Wu Wen-Juan , Gao Bu-Lang
Published: January 2021

Background

To investigate the imaging features of hemangiomas in long tabular bones for better diagnosis.

Methods

Twenty-four patients with long bone hemangiomas confirmed by pathology were enrolled. Nineteen patients had plain radiography, fourteen patients had computed tomography (CT) and eleven had magnetic resonance imaging (MRI). The hemangioma was divided into medullary [13], periosteal [6] and intracortical type [5].

Results

Among 19 patients with plain radiography, eleven patients were medullary, three periosteal, and five intracortical. In the medullary type, the lesion was primarily osteolytic, including five cases with irregular and unclear rims and one lesion having osteosclerotic and unclear rims. In three patients with the periosteal type, the lesion had clear rims with involvement of the cortical bone in the form of bone defect, including two cases with local thickened bone periosteum and one case having expansile periosteum. Five intracortical hemangiomas had intracortical osteolytic lesions with clear margins. Among 14 patients with CT imaging, 8 cases were medullary, three periosteal, and three intracortical. Among 8 medullary hemangiomas, one had ground glass opacity, and seven had osteolytic, expansile lesions like soft tissue density with no calcification. In three periosteal cases, the lesion was osteolytic with thickened periosteum and narrowed medullary cavity. In three intracortical hemangiomas, the lesion was of even soft tissue density with no calcification. Among 11 patients with MRI imaging, seven were medullary, two periosteal, and two intracortical. Among 7 medullary lesions, six were of hypointense signal on T1WI and hyperintensesignal on T2 WI. In two periosteal cases, the periosteum was thickened, with one case being of equal signal, and the other having no signal. Two intracortical hemangiomas were both of slightly low signal on T1WI but hyperintense signal on T2WI.

Conclusions

The long bone hemangiomas had characteristic cystic honeycomb-like presentations in plain radiograph. CT and MRI imagings are helpful for diagnosis of hemangiomas in long bone.
Comparing Charlson and Elixhauser comorbidity indices with different weightings to predict in-hospital mortality: an analysis of national inpatient data
Authors: Sharma Narayan , Schwendimann René , Endrich Olga , Ausserhofer Dietmar , Simon Michael
Published: January 2021

Background

Understanding how comorbidity measures contribute to patient mortality is essential both to describe patient health status and to adjust for risks and potential confounding. The Charlson and Elixhauser comorbidity indices are well-established for risk adjustment and mortality prediction. Still, a different set of comorbidity weights might improve the prediction of in-hospital mortality. The present study, therefore, aimed to derive a set of new Swiss Elixhauser comorbidity weightings, to validate and compare them against those of the Charlson and Elixhauser-based van Walraven weights in an adult in-patient population-based cohort of general hospitals.

Methods

Retrospective analysis was conducted with routine data of 102 Swiss general hospitals (2012–2017) for 6.09 million inpatient cases. To derive the Swiss weightings for the Elixhauser comorbidity index, we randomly halved the inpatient data and validated the results of part 1 alongside the established weighting systems in part 2, to predict in-hospital mortality. Charlson and van Walraven weights were applied to Charlson and Elixhauser comorbidity indices. Derivation and validation of weightings were conducted with generalized additive models adjusted for age, gender and hospital types.

Results

Overall, the Elixhauser indices, c-statistic with Swiss weights (0.867, 95% CI, 0.865–0.868) and van Walraven’s weights (0.863, 95% CI, 0.862–0.864) had substantial advantage over Charlson’s weights (0.850, 95% CI, 0.849–0.851) and in the derivation and validation groups. The net reclassification improvement of new Swiss weights improved the predictive performance by 1.6% on the Elixhauser-van Walraven and 4.9% on the Charlson weights.

Conclusions

All weightings confirmed previous results with the national dataset. The new Swiss weightings model improved slightly the prediction of in-hospital mortality in Swiss hospitals. The newly derive weights support patient population-based analysis of in-hospital mortality and seek country or specific cohort-based weightings.
DLG1-AS1 is activated by MYC and drives the proliferation and migration of hepatocellular carcinoma cells through miR-497-5p/SSRP1 axis
Authors: Min Jie , Jin Dayong , Zhang Feng , Kang Yanxia , Qi Yuhong , Du Pang
Published: January 2021

Background

Long non-coding RNAs (lncRNAs) have been reported to be biological regulators in hepatocellular carcinoma (HCC). DLG1 antisense RNA 1 (DLG1-AS1) has been found to be up-regulated in cervical cancer. However, its function and underlying mechanism in HCC remains unknown.

Methods

DLG1-AS1 expression was assessed in HCC cells and normal cell by RT-qPCR. Luciferase reporter assay, RNA pull down assay and RIP assay were used to demonstrate the interaction between DLG1-AS1 and miR-497-5p.

Results

DLG1-AS1 was highly expressed in HCC cells. Silencing of DLG1-AS1 led to the inhibition of HCC cell growth and migration. Besides, MYC induced the transcriptional activation of DLG1-AS1. MYC could facilitate HCC cellular processes by up-regulating DLG1-AS1. MiR-497-5p could interact with DLG1-AS1 in HCC cells. Down-regulation of miR-497-5p could reverse the impacts of DLG1-AS1 silencing on HCC cells. SSRP1 expression could be positively regulated by DLG1-AS1 but was negatively regulated by miR-497-5p. Knockdown of DLG1-AS1 suppressed tumor growth in nude mice.

Conclusions

DLG1-AS1 is activated by MYC and functions as an oncogene in HCC via miR-497-5p/SSRP1 axis.