Comparison study on secrecy probability of AF-NOMA and AF-OMA networks

The strictly positive secrecy capacity (SPSC) performance is examined in a new design of non-orthogonal multiple access (NOMA) considered in this study. This system model employs Amplify-and-Forward (AF) relaying scheme to serve far users. In this scheme, a transmitter sends confidential signal to far users. It can be raised falling performance in the presence of an external eavesdropper in such NOMA system. With regard to orthogonal multiple access (OMA), performance of NOMA system model is compared. In particular, tradeoff the SPSC performance and transmit SNR is examined. In this study, the SPSC is evaluated as the secrecy metric to limit impacts of the practical passive eavesdropper in real scenario. It is confirmed that the secrecy performance of NOMA is significant lower than OMA due to related parameters characterization in NOMA, and it should be controlled by varying related coefficients. As main results, both of NOMA and OMA against to impact of eavesdropper is studied in terms of analytically result and numerically result

Modified moth swarm algorithm for optimal economic load dispatch problem

In this study, optimal economic load dispatch problem (OELD) is resolved by a novel improved algorithm. The proposed modified moth swarm algorithm (MMSA), is developed by proposing two modifications on the classical moth swarm algorithm (MSA). The first modification applies an effective formula to replace an ineffective formula of the mutation technique. The second modification is to cancel the crossover technique. For proving the efficient improvements of the proposed method, different systems with discontinuous objective functions as well as complicated constraints are used. Experiment results on the investigated cases show that the proposed method can get less cost and achieve stable search ability than MSA. As compared to other previous methods, MMSA can archive equal or better results. From this view, it can give a conclusion that MMSA method can be valued as a useful method for OELD problem

NOMA-assisted multiple access scheme for IoT deployment: Relay selection model and secrecy performance improvement

In this paper, an Internet-of-Things (IoT) system containing a relay selection is studied as employing an emerging multiple access scheme, namely non-orthogonal multiple access (NOMA). This paper proposes a new scheme to consider secure performance, to be called relay selection NOMA (RS-NOMA). In particular, we consider metrics to evaluate secure performance in such an RS-NOMA system where a base station (master node in IoT) sends confidential messages to two main sensors (so-called NOMA users) under the influence of an external eavesdropper. In the proposed IoT scheme, both two NOMA sensors and an illegal sensor are served with different levels of allocated power at the base station. It is noticed that such RS-NOMA operates in two hop transmission of the relaying system. We formulate the closed-form expressions of secure outage probability (SOP) and the strictly positive secure capacity (SPSC) to examine the secrecy performance under controlling setting parameters such as transmit signal-to-noise ratio (SNR), the number of selected relays, channel gains, and threshold rates. The different performance is illustrated as performing comparisons between NOMA and orthogonal multiple access (OMA). Finally, the advantage of NOMA in secure performance over orthogonal multiple access (OMA) is confirmed both analytically and numerically.Web of Science193art. no. 73

Effects of yeast extract and methyl jasmonate on the enhancement of solasodine biosynthesis in cell cultures of Solanum hainanense Hance

In this work, the effects of the elicitors methyl jasmonate (MeJA) and yeast extract (YE) on the growth and solasodine production of Solanum hainanense cells were investigated. The results showed that various concentrations of MeJA (50-250 µM) and YE (1-4 g/L) have different eliciting influences. The increase of solasodine content induced by the elicitation of 3 g/L of YE and 50 µM of MeJA at the beginning of cell culture was about 1.9- and 1.3-fold, respectively, as compared with that of the non-elicitated cells. In general, YE (biotic elicitor) was more effective in enhancing solasodine production than MeJA (abiotic elicitor)

Optimal power generation for wind-hydro-thermal system using meta-heuristic algorithms

In this paper, Cuckoo search algorithm (CSA) is suggested for determining optimal operation parameters of the combined wind turbine and hydrothermal system (CWHTS) in order to minimize total fuel cost of all operating thermal power plants while all constraints of plants and system are exactly satisfied. In addition to CSA, Particle swarm optimization (PSO), PSO with constriction factor and inertia weight factor (FCIWPSO) and Social Ski-Driver (SSD) are also implemented for comparisons. The CWHTS is optimally scheduled over twenty-four one-hour interval and total cost of producing power energy is employed for comparison. Via numerical results and graphical results, it indicates CSA can reach much better results than other ones in terms of lower total cost, higher success rate and faster search process. Consequently, the conclusion is confirmed that CSA is a very efficient method for the problem of determining optimal operation parameters of CWHTS

In silico single polymorphism analysis of RPMS1 and A73 gene in Nasopharyngeal Carcinoma

Nasopharyngeal carcinoma (NPC) is one of the most frequent cancer types in Vietnam, with high mortality rate. Therefore, the early diagnosis and detection of NPC is urgently needed to improve patient survival. Recent studies have confirmed that the infection of Epstein-Barr virus (EBV) and polymorphism in RPMS1 and A73 are considered as the etiological factor associated with NPC. However, in Vietnam, there are no studies relevant to the identification of polymorphism of RMPS1 and A73. With the aims, in future, to develop a technique based on detecting the frequencies of RPMS1 and A73 variants as biomarkers of prognosis and early diagnosis of NPC, we conducted the initial in silico analysis (1) Data collection, statistical analysis the frequencies detection of RPMS1 and A73 variants from various previous published studies; (2) Determine experimental methods to predict and diagnose early NPC and examine necessary steps in silico. As the results, we established the systematic databases of RPMS1 and A73 polymorphism, and evaluation the primer set for the amplification of RPMS1 and A73, which could be applied in further studies related to the identification of RPMS1 and A73 gene polymorphism to find out the potential biomarkers for screening, diagnosis as well as NPC treatment

Applied bioinformatics tools for analysis of Microrna-214 expression and prediction of its potential targets genes in Nasopharyngeal carcinoma

miRNA (microRNA) are short RNA molecules in length from 20 to 24 nucleotides that have been shown to play an important role in regulating gene expression in many different types of human cancer. Meanwhile, miRNA-214 is one of the known miRNAs involved in the formation of nasopharyngeal carcinoma (NPC) through overexpression that promotes proliferation and development of cancer cells. However, in Vietnam, the study of miR-214 related to NPC has not been conducted yet. With the aims to develop the further studies of miR-214 on NPC in Vietnamese patients, in this initial study, we conducted the analysis of miR-214 expression in previous publications, as well as the prediction of miR-214 potential target genes, which involved in many cellular pathways. Here we applied bioinformatics tools to predict miRNAs and their targets, and discuss the role of miR-214 in the context of human cancers. As the results, miR-214 acted as the oncogenic roles in NPC, relevanted to many pathways, such as cell proliferation, apoptosis, metastasis and invasion through the its target genes LTF, Bim, Bax, LINC0086, etc. In conclusion, the use of computional approaches facilitate the further experimental validation of miRNAs in general, particularly miR-214, in Vietnamese NPC patients

In silico analysis of hypermethylation of E-cadherin gene promoter in Nasopharyngeal carcinoma

Background: DNA hypermethylation changes in CpG islands of promoter region of E-cadherin (E-cad) gene, one of the tumor suppressor genes, have been described to be involved the formation and progression of human nasopharyngeal carcinoma, which is the most common and highly incident cancer of head and neck cancer in Asian countries, especially in Vietnam. Purpose: In Vietnam, there is still no research about E-cad promoter methylation in NPC, thus, in current report, a systematic literature revision was carried out to summary the current evidences about the frequencies of Ecad gene promoter on NPC for further applied in Vietnamese population. Methods: A systematic literature analysis was conducted based on the comprehensive search of observational studies. Moreover, CpG islands of candidate gene and transcriptional factors were predicted by using many bioinformatics tools, such as Methprimer, TFsearch, etc. Results: Total of 9 previous published studies were identified and accessed for eligibility from the literature research and enrolled into systematic revision. The variants of E-cad hypermethylation frequency ranked from 11.0% to 64.55% were observed. Moreover, the average weight frequencies of methylated and unmethylated E-cad gene promoter were 55.46% and 40.78%, respectively. Moreover, by several bioinformatics tools, we were successful in predicting the CpG islands as well as identifing transcriptional factor binding sites, served as “hot spot” for ideal primer pick up, located in candidate gene promoter. Conclusion: Based on these data, it suggested that the hypermethylation of E-cad gene promoter was a significant characteristic of NPC, in which, it could be further applied in evaluation of E-cad gene promoter status in Vietnamese population

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

3D object retrieval is an important yet challenging task, which has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and sketch queries, which are often unfriendly interactions for common users. In order to overcome these limitations, this paper presents a novel SHREC challenge track focusing on text-based fine-grained retrieval of 3D animal models. Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval. Despite the increased difficulty, we believe that this task has the potential to drive useful applications in practice and facilitate more intuitive interactions with 3D objects. Five groups participated in our competition, submitting a total of 114 runs. While the results obtained in our competition are satisfactory, we note that the challenges presented by this task are far from being fully solved. As such, we provide insights into potential areas for future research and improvements. We believe that we can help push the boundaries of 3D object retrieval and facilitate more user-friendly interactions via vision-language technologies.Comment: arXiv admin note: text overlap with arXiv:2304.0573