Miracle-dz/UniFAR-FTUs huggingface dataset:
DOES SOCIAL NETWORK QUALITY DIFFER BETWEEN FACEBOOK AND INSTAGRAM? APPLICATION OF SNSQUAL MODEL

Although numerous studies investigated service quality in online environment, the social network quality has been inadequately captured by previous empirical research. Thus, the present study focuses on measuring social network quality. Specifically, it aims to examine potential differences in perceived social network quality between two popular social networks, namely Facebook and Instagram. The empirical data are based on gathering primary data using questionnaire based on SNSQUAL model, developed by Phillips et al. (2016). Descriptive and bivariate statistical analysis were conducted using data collected from undergraduate and graduate students who use social networks on regular bases. The study results show significant differences in 16 out of 27 social network quality items, revealing that Instagram’s social network quality was rated significantly higher than Facebook’s. These findings may contribute to the development of service excellence approach that aims to enhance social networks’ performance.
The unified power flow controller-a concept becomes reality

The unified power flow controller (UPFC) is the first member of an emerging family of advanced flexible AC transmission system (FACTS) controllers that use multiple synchronous voltage sources (SVS) operated conjunctively to optimize the use of electric power transmission networks. This paper gives an overview of the practical aspects of UPFC design and operation, and illustrates the implementation of the equipment and the achievable performance with particular reference to the Inez installation in Kentucky, USA.
Battery Energy Storage System Allocation for Reliability Optimization of Distribution Network

Reliability is one of the key aspects in the design and operation of power distribution network (PDN). Battery energy storage system (BESS) is used to improve reliability of the PDN. Traditional method of configuring BESS in distribution network is based on software that uses the concept of brute force in systems analysis. Besides, efficiency of configuring BESS is not considered. In this paper, a novel method for allocating BESS is proposed, which improves the system's reliability and gets maximum cost-benefit ratio. Compared with traditional method, the allocation plan of BESS is presented by using the proposed method is more explicate and easier. The proposed method is based on particle swarm optimization (PSO) and takes both the cost of configuring BESS and the income of the reliability improvement into consideration. Firstly, the proposed PSO-based method for optimizing reliability of the PDN is introduced. Then, an optimized plan based on proposed method for allocating BESS in IEEE-34 test system is presented. Finally, the simulation results verify the effectiveness and practicability of the proposed method.
The homogeneity and heterogeneity of occurrence, characteristics, and prognosis in hepatocellular carcinoma patients with synchronous and metachronous bone metastasis

Purpose: Based on the one of the largest hepatocellular carcinoma (HCC) population with bone metastasis (BM) from the single center in Tianjin, China, the present study aimed to investigate the risk and survival of synchronous bone metastasis (sBM) and metachronous bone metastasis (mBM) in HCC, and to reveal characteristics and related factors of HCC patients with bone metastasis. Methods: HCC patients with bone metastasis between 2009 and 2017 from Tianjin Medical University Cancer Institute & Hospital, Tianjin, China, were involved. Chi-square test/ Fisher's exact test and Logistic regression were used to estimate the risk factors of bone metastasis in HCC. Kaplan-Meier method was used to estimate the survival of HCC patients, and the Log-rank test was used to analyze the survival of HCC patients. The prognostic factors of HCC patients with BM were identified via Kaplan-Meier method and multivariable COX regression model. Results: Among 4421 HCC patients, 128 patients with BM were identified. Of the 128 patients with BM, 77 patients (60.16%) were with sBM and 51 patients (39.84%) were with mBM. The incidence of sBM in HCC was 1.74% at initial diagnosis. The most common metastatic site of sBM was rib, followed by lumbar, thoracic, and sacral. The median latency time from HCC diagnosis to mBM was six months. The most common site of mBM was thoracic, followed by lumbar, sacral and rib. Alcohol-drinking history (P=0.027), numbers (P=0.023) and size (P=0.008) of intrahepatic tumor, lymph node metastasis (P<0.001), serum ALP (P=0.004) and HGB (P=0.004) level were found to be correlated with the occurrence of BM. The overall survival between non-BM and BM were statistically different (P=0.028). Conclusion: The incidence of sBM in HCC was 1.74% at initial diagnosis. The median latency time from HCC diagnosis to mBM was 6 months. The characteristics between occurrence and prognosis showed significant difference between sBM and mBM. Early identification of high-risk BM population was essential for the improvement of both quality of life and prognosis. The revealed related factors can potentially guide sBM and mBM identification and early diagnosis in HCC.
ONLINE RETAILING: RELATIONSHIP AMONG E-TAILING SYSTEM QUALITY, E-SATISFACTION, E-TRUST AND CUSTOMERS COMMITMENT IN CHINA

The purpose of this study is to propose and demonstrate an integrative model of e-tailing system quality, e-satisfaction, e-trust and commitment in China. Customer’s commitment is fundamental to the survival and profitability of e-tailing. Perhaps, study variables have considerable importance on e-tailers performance. The data were collected from a sample of 383 students at universities in China during the first quarter of 2014. We used confirmatory factor analysis (CFA) and structural equation modeling (SEM) to evaluate the hypotheses about the relationship among model constructs. Thus all the hypotheses developed in the study were positively confirmed except one, reinforcing the theory and previous research in this field. The result indicates that system quality is positively associated with e-trust and e-satisfaction, similarly e-trust influences positively to both types of commitment. However, e-satisfaction has positive effect on affective commitment, but it has not significant positive connection with continuance commitment in our study. This study reveals interesting implications that are useful to both academicians and practitioners.
INVITRO REGENERATION OF BACOPA MONNIERI (L.) PENNEL.-A MULTIPURPOSE MEDICINAL PLANT

Objective: The aim of the present study is to develop a protocol for the multiple shoots and root regeneration through callus induction of Bacopa monnieri. Methods: In the present investigation, multiple shoot regeneration was done with MS medium supplemented with various plant growth regulators. Then half strength MS medium with free plant growth regulator was used for rooting purpose. Results: Shootlets were regenerated from internodal part of stem through auxiliary shoot proliferation. The induction of multiple shoots from nodal segments were highest in MS medium supplemented with 1.0 mg/l BA,1.0mg/l TDZ and 4.92mg/l 2ip. For rooting, PGR free half strength MS medium was used. The rooted plantlets were hardened initially in culture room conditions and then transferred to mist house. Conclusion: A perfect protocol was standardized for shoot and root regeneration. Best growth was observed in MS medium supplemented with 1.0 mg/l BA, 1.0mg/l TDZ and 4.92mg/l 2ip.
Predicting Sedimentation at Mujib Dam Reservoir in Jordan

Reservoir sedimentation is a severe problem facing dams causing the decrease of active water storage which is the main purpose of the construction of dams. Mujib dam, constructed in Jordan in 2003, was selected to estimate the quantity of sedimentation in its reservoir. Arc-View Soil and Water Assessment Tool (AVSWAT) model was used to simulate Mujib dam catchment area. The results of this study identified the quantity of water and sediment inflow to the reservoir. They also identified the regions of high soil erosion, sediment yield and delivery ratio in order to manage these regions by applying techniques which reduce these values in sequence to decrease the sediment yield reaching the reservoir.
Modeling of force sensing and validation of disturbance observer for force control

Controlling robots in contact with environment is the important problem in industry applications. In order to solve the instability in force control, the velocity feedback gain is enlarged. The system becomes unstable with small velocity feedback gain, and robot's response becomes slow with large one. Since there is trade-off between stability and responsivity, it is thought that force control by robots is difficult. In the conventional force control, great many researches have paid attention to develop novel force control systems and implemented force sensors to detect external force. This paper shows that feedback of the value of force sensor makes attainment of force control difficult. The novel analysis technique of force control that force sensor is modeled by 2 mass resonant system is shown. Force control is attainable with the construction of the easiest force control system by feedback the value of reaction torque observer. Sensor-less force control is the one of the fundamental techniques for evolution of human-cooperating robot, tele-robotics, robotic virtual reality and so on. The numerical and experimental results show viability of the proposed method.
Design of distributed space-time block code for two-hop cooperative wireless relay networks over frequency selective fading channels

This letter proposes a new distributed space time block code (DSTBC) for two-hop cooperative wireless networks over frequency selective fading channels with amplify-and-forward (AF) relaying. The proposed DSTBC is designed to achieve maximal data rate, spatial diversity gain, and decoupling detection of data blocks. These goals are accomplished by allowing each relay to linearly process its received signals to form a column of the code matrix in the conventional space time block codes that were developed for co-located antenna systems. Moreover, the proposed DSTBC also enables the use of frequency domain equalization to reduce receiver complexity.
STUDY OF THE AERODYNAMIC AND STRUCTURAL BEHAVIOR OF AN ARCHED BAMBOO GREENHOUSE

Greenhouses used for agricultural production are structures to partially control soil and climate conditions such as temperature, air humidity, radiation, wind, and atmospheric composition. Thus, according to Cermeño (1990) protected cultivation has quantitative and qualitative advantages compared to field cultivation since productivity in the first system can be 2 to 3 times higher. Bamboo is considered a sustainable material because it is renewable, absorbs carbon dioxide, uses solar energy, and is easily incorporated into nature at your life cycle end. The aim of this paper was to analyze the technical feasibility of bamboo in the construction of a greenhouse for protected cultivation. For this, the aerodynamic and structural behavior was analyzed in order to obtain the safety margins for this construction. With the safety margins it was determined that bamboo is a plausible material for the construction of these structures.
AttendAffectNet–Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention

In this paper, we tackle the problem of predicting the affective responses of movie viewers, based on the content of the movies. Current studies on this topic focus on video representation learning and fusion techniques to combine the extracted features for predicting affect. Yet, these typically, while ignoring the correlation between multiple modality inputs, ignore the correlation between temporal inputs (i.e., sequential features). To explore these correlations, a neural network architecture—namely AttendAffectNet (AAN)—uses the self-attention mechanism for predicting the emotions of movie viewers from different input modalities. Particularly, visual, audio, and text features are considered for predicting emotions (and expressed in terms of valence and arousal). We analyze three variants of our proposed AAN: Feature AAN, Temporal AAN, and Mixed AAN. The Feature AAN applies the self-attention mechanism in an innovative way on the features extracted from the different modalities (including video, audio, and movie subtitles) of a whole movie to, thereby, capture the relationships between them. The Temporal AAN takes the time domain of the movies and the sequential dependency of affective responses into account. In the Temporal AAN, self-attention is applied on the concatenated (multimodal) feature vectors representing different subsequent movie segments. In the Mixed AAN, we combine the strong points of the Feature AAN and the Temporal AAN, by applying self-attention first on vectors of features obtained from different modalities in each movie segment and then on the feature representations of all subsequent (temporal) movie segments. We extensively trained and validated our proposed AAN on both the MediaEval 2016 dataset for the Emotional Impact of Movies Task and the extended COGNIMUSE dataset. Our experiments demonstrate that audio features play a more influential role than those extracted from video and movie subtitles when predicting the emotions of movie viewers on these datasets. The models that use all visual, audio, and text features simultaneously as their inputs performed better than those using features extracted from each modality separately. In addition, the Feature AAN outperformed other AAN variants on the above-mentioned datasets, highlighting the importance of taking different features as context to one another when fusing them. The Feature AAN also performed better than the baseline models when predicting the valence dimension.
Failure analysis and fatigue life prediction of high-speed rail clips based on DIC technique

With the development of rail transportation, the fatigue failure of rail clips has become an issue, which affects the operational safety of trains. In this study, reasons for the fatigue failure of rail clips were investigated to improve their service life. A digital image correlation (DIC) technique was conducted to obtain strain fields, vibration modes, and natural frequencies of a rail clip. The strain and displacement of a rail clip under dynamic cyclic loading were also obtained. A fastener system refinement model was developed to analyze the static, dynamic, and modal responses of the clip. The experimental tests and modal simulation results were mutually verified. The fatigue life was analyzed based on the verified FE model. The results revealed that the maximum strain and minimum fatigue life occur at the heel of the clip, in good agreement with the actual fracture position. As the amplitude and frequency of dynamic cyclic load increased, the fatigue life of the clip decreased sharply. Moreover, the normal wheel–rail force accompanied by high-frequency rail corrugations accelerated crack initiation and reduced the fatigue life. The findings of this study provide guidance for improving the service life of rail clips.
Graph-based Attack Detection in Cloud using KDD CUP 99 Dataset

In the area of research and development effort for cloud computing, Cloud security is considered as one of challenging issues. Most commonly faced attacks are Distributed Denial-of-Service (DDoS) attacks. DDoS attacks are variation of DOS attack at distributed and large-scale level. Firstly attacker tries to discover the vulnerabilities or we can say loopholes of a cloud system and takes control over the virtual machines. And then gets success in deploying DDoS at large scale. Such attacks includes certain actions at initial stage such as exploitation in multiple steps, scanning for uncommon or less occurring vulnerabilities, identified vulnerabilities are utilized against virtual machines to use them as zombies and finally DDOS is achieved through these compromised zombies. To avoid vulnerable virtual machines from being compromised in the cloud system, proposed approach uses multiphase vulnerability detection at distributed level, measurement, countermeasure selection mechanism called as NICE, which is based on attack graph based models and reconfigurable virtual network based countermeasures. Use of standard dataset KDD Cup 99 dataset helps to cover most of the types of intrusion signatures and features. There is a need of processing encrypted traffic also together with plain traffic flowing through the cloud system. As included in the proposed system, host-based intrusion detection system implementation gives more benefits as compare to NIDS based implementation.
Modeling plated copper interconnections in a bumpless flip chip package

The bumpless flip chip package (BFCP) is a novel integrated circuit (IC) package which employs an electrochemical process to form plated copper interconnections between the IC-to-substrate chip-level assembly. This unique packaging process does not require wire bonding or solder bumped flip chip interconnection procedures. The plated copper chip interconnection provides a robust connection, which is redistributed with nickel coated copper traces without an interposer substrate to compliant terminals in an area array package. The plated copper interconnections in the BFCP addresses reliability concerns by providing a stronger micro-joining alternative to wire bonding or flip chip soldering. The unique compliant redistribution design in the BFCP is expected to improve the solder joint reliability performance at board-level assembly. Package-level thermal cycling tests and analysis were conducted, along with finite element modeling and simulation of the BFCP subject to package-level temperature cycling.
A method of quality comparison of different reference function application for ultrasonic measurement problems

The theoretical study reports a simulative comparison between error in determining the time position of an echo pulse using as a basis function the signal itself and approximate representations thereof. The advantage of the processing method utilising synthesised wavelets over the correlation method in the case of difference between an extracting signal and a reference one at a signal-to-noise ratio of 0–9.5 db was by applying a stability criterion. The studies are aimed at reducing the error in determining the burning rate of solid propellant charges via an ultrasonic method.
Implementation of Energy Balancing in Wireless Sensor Networks

In Wireless Sensor Networks (WSN), energy is a very precious resource for sensor nodes and communication overhead is to be minimized. So energy is an extremely critical resource for this type of battery-powered based Wireless Sensor Networks (WSN), and thus making energy-efficient smart protocol design is a key challenging problem. Some of the few existing energy-efficient routing protocols schemes always forward the packets through the minimum energy based optimal route to the sink to minimize energy consumption. It causes an unbalanced distribution of residual energy between sensor nodes, which leads to network partition. The prime goal of this approach is to forward packets to sink through the energy denser area to protect the nodes with less residual energy, which is maximizing the Sensor Networks Lifetime. The existing technique Energy Balanced Routing Protocol (EBRP) fails to achieve Throughput, End-to-End Delay, in order to improve the Network Performance. So the efficient routing protocol is needed with the capabilities of both the Energy Efficiency and Energy Balancing. To address these issues, we have proposed Delay Aware Energy Balanced Dynamic Routing Protocol (DA-EBDRP). The proposed routing technique achieves in terms of End-to-End Delay, Throughput, Portion of Living Node (PLN) and Network Lifetime. By simulation results the proposed algorithm achieves better performance than the existing methods.
Development of a structured approach to assessing technology management practice

Abstract The effective application of technology is a key source of competitive advantage for modern industry. However, the integration of technology management systems into established business processes represents a continuing challenge to many firms. This paper describes the development of a practical technique for the assessment of technology management practices. Based on a process model of technology management, it provides a means whereby manufacturing companies can assess the effectiveness of the technology management activities critical to their business, and identify areas for improvement or transfer of good practice. The development of the assessment methodology is discussed in the context of the wider research project of which it is part. Its basis in theory and literature is reviewed, together with the results of its application in a range of manufacturing companies. The main output from the project is a practical management guide [technology management assessment procedure (TMAP)]. The procedure comprises three levels, which span the full range of technology management activities in the firm, linking broad strategic concerns to detailed operational activities in the format of a series of facilitated workshops.
HPV E6/E7 promotes aerobic glycolysis in cervical cancer by regulating IGF2BP2 to stabilize m6A-MYC expression

Enhanced aerobic glycolysis constitutes an additional source of energy for tumor proliferation and metastasis. Human papillomavirus (HPV) infection is the main cause of cervical cancer (CC); however, the associated molecular mechanisms remain poorly defined, as does the relationship between CC and aerobic glycolysis. To investigate whether HPV 16/18 E6/E7 can enhance aerobic glycolysis in CC, E6/E7 expression was knocked down in SiHa and HeLa cells using small interfering RNA (siRNA). Then, glucose uptake, lactate production, ATP levels, reactive oxygen species (ROS) content, extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) were evaluated. RNA-seq was used to probe the molecular mechanism involved in E6/E7-driven aerobic glycolysis, and identified IGF2BP2 as a target of E6/E7. The regulatory effect of IGF2BP2 was confirmed by qRT-PCR, western blot, and RIP assay. The biological roles and mechanisms underlying how HPV E6/E7 and IGF2BP2 promote CC progression were confirmed in vitro and in vivo. Human CC tissue microarrays were used to analyze IGF2BP2 expression in CC. The knockdown of E6/E7 and IGF2BP2 attenuated the aerobic glycolytic capacity and growth of CC cells, while IGF2BP2 overexpression rescued this effect in vitro and in vivo. IGF2BP2 expression was higher in CC tissues than in adjacent tissues and was positively correlated with tumor stage. Mechanistically, E6/E7 proteins promoted aerobic glycolysis, proliferation, and metastasis in CC cells by regulating MYC mRNA m6A modifications through IGF2BP2. We found that E6/E7 promote CC by regulating MYC methylation sites via activating IGF2BP2 and established a link between E6/E7 and the promotion of aerobic glycolysis and CC progression. Blocking the HPV E6/E7-related metabolic pathway represents a potential strategy for the treatment of CC.