Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of the Piano Score Recommendation Image Analysis System Based on the Big Data and Convolutional Neural Network

In the era of big data, the problem of information overload is becoming more and more obvious. A piano music image analysis and recommendation system based on the CNN classifier and user preference is designed by using the convolutional neural network (CNN), which can realize accurate piano music recommendation for users in the big data environment. The piano music recommendation system based on the CNN is mainly composed of user modeling, music feature extraction, recommendation algorithm, and so on. In the recommendation algorithm module, the potential characteristics of music are predicted by the regression model, and the matching degree between users and music is calculated according to user preferences. Then, music that users may be interested in is generated and sorted in order to recommend new piano music to relevant users. The image analysis model contains four “convolution + pooling” layers. The classification accuracy and gradient change law of the CNN under RMSProp and Adam optimal controllers are compared. The image analysis results show that the Adam optimal controller can quickly find the direction, and the gradient decreases greatly. In addition, the accuracy of the recommendation system is 55.84%. Compared with the traditional CNN algorithm, this paper uses the convolutional neural network (CNN) to analyze and recommend piano music images according to users' preferences, which can realize more accurate piano music recommendation for users in the big data environment. Therefore, the piano music recommendation system based on the CNN has strong feature learning ability and good prediction and recommendation ability.
1480 nm pumped erbium doped fibre amplifier with all optical automatic gain control

A 15 dB, gain controlled, 1480 nm pumped, erbium doped silica fibre amplifier is demonstrated with < 0.2 dB of gain variation for signal input levels up to –5 dBm. Gain control is effected by concomitant lasing at 1520 nm using Bragg grating reflectors. No error rate penalty is observed for a signal modulated at 2.5 Gbit/s.
Pin1 as Molecular Switch in Vascular Endothelium: Notes on Its Putative Role in Age-Associated Vascular Diseases

By controlling the change of the backbones of several cellular substrates, the peptidyl-prolyl cis-trans isomerase Pin1 acts as key fine-tuner and amplifier of multiple signaling pathways, thereby inducing several biological consequences, both in physiological and pathological conditions. Data from the literature indicate a prominent role of Pin1 in the regulating of vascular homeostasis. In this review, we will critically dissect Pin1’s role as conformational switch regulating the homeostasis of vascular endothelium, by specifically modulating nitric oxide (NO) bioavailability. In this regard, Pin1 has been reported to directly control NO production by interacting with bovine endothelial nitric oxide synthase (eNOS) at Ser116-Pro117 (human equivalent is Ser114-Pro115) in a phosphorylation-dependent manner, regulating its catalytic activity, as well as by regulating other intracellular players, such as VEGF and TGF-β, thereby impinging upon NO release. Furthermore, since Pin1 has been found to act as a critical driver of vascular cell proliferation, apoptosis, and inflammation, with implication in many vascular diseases (e.g., diabetes, atherosclerosis, hypertension, and cardiac hypertrophy), evidence indicating that Pin1 may serve a pivotal role in vascular endothelium will be discussed. Understanding the role of Pin1 in vascular homeostasis is crucial in terms of finding a new possible therapeutic player and target in vascular pathologies, including those affecting the elderly (such as small and large vessel diseases and vascular dementia) or those promoting the full expression of neurodegenerative dementing diseases.
The Prognostic Value of Metabolic Genes in Gastric Adenocarcinoma

Background: A great number of metabolic genes have been discovered in gastric cancer (GC); however, their prognostic roles remain incompletely clear so far. Methods: The Cancer Genome Atlas-stomach adenocarcinoma, and GSE84437 dataset collected via the Gene Expression Omnibus (GEO) database were utilized for retrieving those clinicopathological data and RNA expression patterns. Besides, the signature was obtained through the lasso Cox regression model and univariate Cox regression analysis. A novel 13-gene metabolic signature (including GSTA2, POLD3, GLA, GGT5, DCK, CKMT2, ASAH1, OPLAH, ME1, ACYP1, NNMT, POLR1A, and RDH12) was constructed for predicting the prognosis for gastric adenocarcinoma. Results: The results suggested that, the survival in high risk group was remarkably dismal compared with that in low risk group. In addition, that as-constructed signature had been identified as a factor to independently predict the prognosis for gastric adenocarcinoma patients. Moreover, the signature-based nomogram showed certain benefits in predicting the overall survival (OS). Besides, results of gene set enrichment analysis (GSEA) suggested that some pathways were markedly enriched, which help to illustrate the possible mechanisms. Conclusions: The new 13-gene metabolic model is constructed in this study to predict the prognosis for GC. It probably reflects dysregulation in the metabolic microenvironment, in the meantime of providing metabolic treatment biomarkers, and predicting the treatment response to gastric adenocarcinoma.
Development of Antioxidant and Nutritious Lentil (Lens culinaris) Flour Using Controlled Optimized Germination as a Bioprocess

Germination is an efficient and natural strategy that allows the modification of the nutritional value and the nutraceutical properties of seeds, enabling one to tailor the process according to its final use. This study aimed at optimization of germination conditions to produce novel lentil flours with improved nutritional and functional features. Response Surface Methodology (RSM) was applied to model the effect of temperature (15–27 °C) and time (1–5 days) on different nutritional and quality parameters of lentil flours including proximate composition, content and profile of fatty acids, content of phytic acid, ascorbic acid and γ-aminobutyric acid (GABA), content and profile of phenolic compounds, antioxidant activity, expected glycemic index (GI) and color during germination. As shown by RSM polynomial models, sprouting promoted the reduction of phytic acid content and enhanced the levels of ascorbic acid, GABA, insoluble phenolic compounds, antioxidant activity and expected GI, and modified the color of the resultant lentil flours. RSM optimization of germination temperature and time using desirability function revealed that the optimal process conditions to maximize the nutritional, bioactive and quality properties of sprouted lentil flours were 21 °C for 3.5 days.
Torkildsen’s Ventriculocisternostomy First Applications: The Anthropological Evidence of a Young Slavic Soldier Who Died in the Torre Tresca Concentration Camp (Bari, Italy) in 1946

Simple Summary Forensic anthropology deals with human skeletal remains for law and humanitarian purposes, and it is crucial in determining identity, interpreting traumas, and estimating time since death. Although it adopts a wide array of methods from many disciplines, the macroscopic observation of skeleton morphological characteristics is sometimes exhaustive for differential diagnosis between malformations, degenerative diseases, post-traumatic or iatrogenic lesions. In some cases, as described in this study, skeletal remains show signs of specific surgical techniques, so characteristic as to reconstruct almost faithfully the pathological history of the individual to whom they belonged and the therapeutic procedures the subject underwent. It is of even more interest if considering that, based on the time of death, the subject was among the first individuals who underwent an innovative surgical technique that would have revolutionized the surgical approach to a disease until then incurable. In these rare cases, skeletal remains become the historical testimony of surgery evolution, showing the traces of how men have over time perfected the medical treatment of their fellows. Abstract Human skeletal remains are considered as real biological archives of each subject’s life. Generally, traumas, wounds, surgical interventions, and many human pathologies suffered in life leave identifiable marks on the skeleton, and their correct interpretation is possible only through a meticulous anthropological investigation of skeletal remains. The study here presented concerns the analysis of a young Slavic soldier’s skeleton who died, after his imprisonment, in the concentration camp of Torre Tresca (Bari, Italy), during the Second World War (1946). In particular, the skull exhibited signs of surgical activity on the posterior cranial fossa and the parieto-occipital bones. They could be attributed to surgical procedures performed at different times, showing various degrees of bone edge remodeling. Overall, it was possible to correlate the surgical outcomes highlighted on the skull to the Torkildsen’s ventriculocisternostomy (VCS), the first clinically successful shunt for cerebrospinal fluid (CSF) diversion in hydrocephalus, which gained widespread use in the 1940s. For this reason, the skeleton we examined represents a rare, precious, and historical testimony of an emerging and revolutionary neurosurgical technique, which differed from other operations for treating hydrocephalus before the Second World War and was internationally recognized as an efficient procedure before the introduction of extracranial shunts.
Research on Service Quality of Telecom Corporation Based on PZB Model

With the rapid development of information technology, wireless mobile communication services have become increasingly fierce. This study uses telecommunications companies as a research case to explore the gaps between service quality and customer expectations. The research object is the current customers of the telecommunications company. This study uses questionnaires as a research tool to collect data, analysis and obtain the results. The measurement indicators of service quality in the questionnaire are based on the SERVQUAL scale in the PZB model. It is an evaluation system proposed in the service industry based on the theory of Total Quality Management (TQM). In this study, combined with the services characteristics of telecommunications companies, the SERVQUAL scale was used to design a questionnaire on the service quality of telecommunications companies. Through the collected questionnaire data, it is found that the company's service quality has the following problems, including less personalized service provision, higher error rate of staff service, poor business ability of staff, lack of professional knowledge of staff, and inability to handle customer complaints in a timely manner, etc. Finally, in response to the service quality problems found in this study, based on the 5gap model, suggestions for improvement and adjustment of service quality are proposed.
Empirical Study of Car License Plates Recognition

The number of vehicles on the road has increased drastically in recent years. The license plate is an identity card for a vehicle. It can map to the owner and further information about vehicle. License plate information is useful to help traffic management systems. For example, traffic management systems can check for vehicles moving at speeds not permitted by law and can also be installed in parking areas to se-cure the entrance or exit way for vehicles. License plate recognition algorithms have been proposed by many researchers. License plate recognition requires license plate detection, segmentation, and charac-ters recognition. The algorithm detects the position of a license plate and extracts the characters. Various license plate recognition algorithms have been implemented, and each algorithm has its strengths and weaknesses. In this research, I implement three algorithms for detecting license plates, three algorithms for segmenting license plates, and two algorithms for recognizing license plate characters. I evaluate each of these algorithms on the same two datasets, one from Greece and one from Thailand. For detecting li-cense plates, the best result is obtained by a Haar cascade algorithm. After the best result of license plate detection is obtained, for the segmentation part a Laplacian based method has the highest accuracy. Last, the license plate recognition experiment shows that a neural network has better accuracy than other algo-rithm. I summarize and analyze the overall performance of each method for comparison.
GLOBAL RESIDUAL DAMAGE EVALUATION OF IMPACTED SANDWICH PANELS AT LOW ENERGY

This paper focuses on the behavior of impact damaged sandwich panels at low energy. The aim of the work is to assess the residual mechanical properties of a helicopter main cabin panel after the impact and their correlation to the percentage of global damage. Finite element analysis was used to solve the problem. Due to the contact boundary condition, large displacements and plasticity, the dynamic impact problem treated here presents a nonlinear numerical character, which has to be taken into account in order to choose an appropriate solution technique. The numerical procedure applied consists of a local evaluation of damage (geometry and elastic constant variation) produced by a semispherical impactor. To achieve this, a continuum mechanics approach of a sandwich structure detailed model was implemented. Once this analysis was performed, new equivalent mechanical properties corresponding to the damaged area were utilized in the construction of different global models with increasing percentage of damage.
Optimization of Reliability Test on the Shell of Portable Electronic Products Based on Taguchi Method

Traditional reliability test of electronic products has the feature of many contents, long cycle and rising test fees. This paper analyzes the feasibility of combination of Taguchi method and reliability test. Then, the process of optimizing reliability test is proposed with emphasis on use of Taguchi method such as orthogonal table and signal-to-noise ratio (SNR). Finally, the process is applied to the reliability test on the shell of a new type of portable electronic product developed by C Company, verifying that the new process is operable and can reduce test numbers, time and cost while guaranteeing effectiveness of reliability test compared with the traditional approach.
Statistical analysis of contents of posts on SNSs by foreign visitors to Japan based on questionnaire survey

The purpose of this study is to clarify the characteristics of the contents of posts on SNSs by foreign visitors to Japan regarding their trips and the difference in the contents of posts depending on the region from which they are from, age group, and gender. Targeting foreign visitors aged 15 years or older who visited Kanazawa City in Ishikawa prefecture and wrote posts on SNSs, a questionnaire survey was carried out. The questionnaire items related to the contents of posts are the same as the questionnaire survey by Japan Travel and Tourism Association for Japanese people who travelled to Japan and wrote posts on SNSs. Statistical analysis was per formed using SPSS Statics 25 on the responses. The results indicate that the range of topics in posts by foreign visitors is more than double those in posts by Japanese tourists, that the contents of posts by foreign visitors can be classified into three groups, that the contents and the number of types of posts depend on the region where they are from, and that the number of posts on "member of a party" depend on gender. SNSs are considered to play an important role in determining the destination of travel. The results in this study provide important suggestions for tourism strategy planning using SNSs.
Magnetization Improved Fine Particle Biochar Adsorption of Lead

ABSTRACT Biochar can be an alternative sorbent to the high cost activated carbon for wastewater treatment. Its adsorption capacity for heavy metals can be increased by magnetizing it with iron. In this study, we compared the physiochemical properties and sorption capacity of an iron-coated fine empty fruit bunch biochar (IC-EFBB) for Pb with a commercially available activated carbon (AC) and the uncoated fine empty fruit bunch biochar (EFBB). The results revealed that the AC had greater micropores surface area (671.14 m2 g−1), compared to the IC-EFBB (25.79 m2 g−1) and EFBB (2.57 m2 g−1). On the other hand, the IC-EFBB had the highest pH, and content of functional groups (OH and CO) while the EFBB had the highest total oxygen containing functional groups, CEC, and the lowest PZC. The sorption data of Pb by EFBB, IC-EFBB and AC were better fitted to the Langmuir adsorption as indicated by the R2 (1.00, 1.00 and 0.98, respectively) and RMSE values (0.009, 0.017 and 0.428, respectively). The IC-EFBB (142.86 mg g−1) had the highest adsorption capacity for Pb followed by EFBB (103.09 mg g−1) and the lowest was AC (50.51 mg g−1). The results indicated that surface area was not an important indicator for Pb sorption by the adsorbents but the amount of oxygen-containing functional groups, pH and CEC were the dominant factors. The IC-EFBB was readily separated from the aqueous solution using an external magnetic force. Therefore, it can be concluded that the IC-EFBB can be a very good alternative sorbent to remove heavy metals from wastewater.
The structure of Cayley graphs of dihedral groups of Valencies 1, 2 and 3

Let G be a group and S be a subset of G such that e ∉ S and S−1 ⊆ S. Then Cay(G, S) is a simple undirected Cayley graph whose vertices are all elements of G and two vertices x and y are adjacent if and only if xy−1 ∈ S. The size of subset S is called the valency of Cay(G, S). In this paper, we determined the structure of all Cay(D2n, S), where D2n is a dihedral group of order 2n, n ≥ 3 and |S| = 1, 2 or 3.
Integrated-optic eight-channel OFDM demultiplexer and its demonstration with 160 Gbit/s signal reception

An integrated-optic demultiplexer is realised for use with 8 × 10 Gbaud orthogonal frequency division multiplexed subcarrier channels. The device is composed of an 8 × 8 optical fast Fourier transform circuit and an array of optical gates, and is used to demultiplex a 160 Gbit/s polarisation multiplexed signal in the optical domain.
Kirenol inhibits TNF-α-induced proliferation and migration of HaCaT cells by regulating NF-κB pathway

Psoriasis is a common chronic, inflammatory skin disease possessing properties of inflammatory cell infiltration and excessive proliferation of keratinocytes, the occurrence and development of which remain fully elucidated. Therefore, the study was designed to determine the effects of kirenol (50, 100 and 200 μg/mL) on Cultured Human Keratinocytes (cells) (HaCaT) in vitro and reveal its molecular mechanism. The in vitro psoriasis model was established utilizing tumor necrosis factor-α (TNF-α)-stimulated HaCaT cells. Kirenol, a diterpenoid compound, was applied at different concentrations (50, 100 and 200 μg/mL) to HaCaT cells for 24 h. The Cell Counting Kit-8 (CCK-8) and thymidine monobromodeoxyuridine (BrdU) assays were used to assess cell viability and proliferation, followed by assessment of cell migration by Transwell assay. Subsequently, inflammatory cytokines were measured by enzyme-linked immunosorbent assay (ELISA), and Western blot assay was used to evaluate expres-sions of p65, p-p65, IκBα and p-IκBα. Activities of superoxide dismutase (SOD), catalase (CAT), glutathione (GSH) and malondialdehyde (MDA) contents were measured spectrophotometrically. The results demonstrated that TNF-α induced a significant increase in cell viability and inflammatory cytokines, including expressions of Interleukin (IL)-6, IL-8, IL-22 and IL-1β in HaCaT cells, which was dose-dependently inhibited by kirenol. Similarly, TNF-α-induced cell migration was also suppressed by kirenol treatment. Furthermore, TNF-α stimuli induced the upregulation of phosphorylation levels of p65 and IκBα as well as p-p65–p65 and p-IκBα–IκBα ratios, whereas kirenol significantly suppressed the activation of cellular nuclear factor-kappa B (NF-κB) signaling pathway. In addition, kirenol significantly decreased the level of MDA but increased the levels of SOD, CAT and GSH in a dose-dependent manner. These results proposed that kirenol could inhibit the proliferation, migration, expression of inflammatory factors, and oxidative stress in HaCaT cells via suppressing NF-κB signaling pathway.
A universal current-mode current conveyor filter based on GFET inverter

ABSTRACT CMOS technology faces significant challenges at the nanoscale. Graphene-based electronics has emerged as a feasible promising to continue obeying Moore’s law. In this paper, a positive-type second-generation current conveyor (CCII+) builds with Graphene FET (GFET) inverters is proposed. A universal current-mode active filter is presented which can realise all standard filter functions employing CCII+ as an active element. The performance of the GFET filter was simulated and analysed with 0.18um GFET technology using ADS tools. The simulation results demonstrate that the proposed GFET filter consumes 1.2 mW at 10 MHz with ±0.5 V supply voltage. Furthermore, the centre frequency of the proposed filter can be tuned electronically. As an application, a quadrature oscillator example is given. The performance of first active filter based on GFET Current conveyor is compared with CMOS technology.
The Effect of Person-Environment Fit on Public Servant Integrity and Performance: Investigating the Moderating Role of Public Service Motivation

Individual performance is measured by a person's contribution to attaining this objective, whereas public organisation performance is measured by goals achieved in accordance with its mission statements. Positive individual behaviour is important for positive life outcomes, such as professional ethics. Individuals with strong integrity between their psychological (spiritual) and physical (physical) functions are one of the determinants of individual performance in organisations. Integrity is a promise to do everything in line with right and ethical principles, as well as values and standards, and there is consistency in continuing to make these commitments in every scenario without seeing any chance or coercion to break them. Individual integrity and performance are strongly influenced by the person-environment fit (person-job fit and person-organization fit). Due to the several corruption cases in Malaysia, the impacts of person-environment fit (person-job fit and person-organization fit) on individual integrity and performance of public sector personnel are investigated in this study. The suggested model was tested using partial least squares on a sample of 214 public sector employees in Penang. Integrity and individual performance is positively influenced by both person-job fit and person-organization fit, with person-organization fit having a stronger effect. Furthermore, the moderating effects of Public Service Motivation in the relationship between person-environment fit and the integrity and individual performance are not significant. As a result, it is critical to design strategies and implement suitable organisational environments in order to successfully raise the integrity and performance levels of public sector employees/