Miracle-dz/UniFAR-FTUs huggingface dataset:
Coupling of four-wave mixing and Raman scattering by ground-state atomic coherence

We demonstrate coupling of light resonant to transition between two excited states of rubidium and long-lived ground-state atomic coherence. In our proof-of-principle experiment a non-linear process of four-wave mixing is used to achieve light emission proportional to independently prepared ground-state atomic coherence. Strong correlations between stimulated Raman scattering light heralding generation of ground-state coherence and the four-wave mixing signal are measured and shown to survive the storage period, which is promising in terms of quantum memory applications. The process is characterized as a function of laser detunings.
Exponential synchronization of stochastic coupled neural networks with Markovian switching via event‐triggered control

This article reports on exponential synchronization for stochastic coupled neural networks (NNs) with mixed time‐varying delays, stochastic coupling strength, and Markovian switching. In order to reduce the amount of data transmission and save network resources, an event‐triggered control method is provided in this study. When the triggered condition can be met, the data can be transmitted so that the master and slave systems with limited resources and bandwidth can realize synchronization. By the Lyapunov stability theory and several analysis skills of matrix properties, some new criteria are obtained to make sure that stochastic coupled NNs are mean square exponential stability. These criteria are provided by linear matrix inequalities. Finally, a numerical case further demonstrates the validity of the proposed criteria.
The Techniques of Compiling the Rectangular Uv Input-Output Table Under the Hypothesis of Product Technology

The problem of compiling the rectangle UV input-output tables under the hypothesis of product technology has beset people long time. In this article, we introduced the theory of Moore-Penrose inverse matrix into the input-output analysis, derived the adjusting formulas in the situation of rectangle UV input-output table and resolved the problem of compiling the rectangle UV input-output tables under the hypothesis of product technology. We put the same position completely between the hypothesis of product technology and the hypothesis of sector technology in the theory of input-output analysis. Finally, we take an example as an illustration of this method.
Planarized tapered waveguides for high-temperature THz quantum cascade laser frequency combs

We present a novel planarized double metal waveguide platform for high-performance THz quantum cascade laser frequency combs. The waveguides are embedded in a low-loss polymer (BCB) and have an extended top metallization, resulting in lower waveguide losses and improved RF and thermal properties. A further performance improvement is observed for waveguides with a tapered profile due to nonlinearity-enhancing effects. These free-running devices produce strong single RF beatnotes up to almost −30 dBm at 90 K, nearly three orders of magnitude stronger than for ridge devices. The improved comb performance is maintained for higher operating temperatures, with a 200 GHz comb bandwidth and a single RF beatnote above −60 dBm at a heat sink temperature of 115 K.
Dual Vocational Education Model for Diploma Program in Aviation of Khon Kaen Industrial and Community Education College

The research attempted to study the readiness and need for the Dual Vocational Education Model for the Diploma Program in Aviation of Khon Kaen Industrial and Community Education College and to create, experiment, and assess the program. The research was conducted from 2014 to 2018 with 60 teachers teaching in the college and 16 in the workplaces and 16 students. The model comprised curriculum, teaching and learning management, teaching personnel development for holding a license, and cooperation with domestic and foreign enterprises. It was found that the appropriateness and feasibility of the model are at the highest level. The opinion of teachers and workplace participants is at a high level. Of all 16 graduates of the program, 14 are employed and 4 take further study. The program is of success and rewarding.
Polyaniline-Derived Nitrogen-Containing Carbon Nanostructures with Different Morphologies as Anode Modifier in Microbial Fuel Cells

Anode modification with carbon nanomaterials is an important strategy for the improvement of microbial fuel cell (MFC) performance. The presence of nitrogen in the carbon network, introduced as active nitrogen functional groups, is considered beneficial for anode modification. In this aim, nitrogen-containing carbon nanostructures (NCNs) with different morphologies were obtained via carbonization of polyaniline and were further investigated as anode modifiers in MFCs. The present study investigates the influence of NCN morphology on the changes in the anodic microbial community and MFC performance. Results show that the nanofibrillar morphology of NCNs is beneficial for the improvement of MFC performance, with a maximum power density of 40.4 mW/m2, 1.25 times higher than the anode modified with carbonized polyaniline with granular morphology and 2.15 times higher than MFC using the carbon cloth-anode. The nanofibrillar morphology, due to the well-defined individual nanofibers separated by microgaps and micropores and a better organization of the carbon network, leads to a larger specific surface area and higher conductivity, which can allow more efficient substrate transport and better bacterial colonization with greater relative abundances of Geobacter and Thermoanaerobacter, justifying the improvement of MFC performance.
Defending OC-SVM based IDS from poisoning attacks

Machine learning techniques are widely used to detect intrusions in the cyber security field. However, most machine learning models are vulnerable to poisoning attacks, in which malicious samples are injected into the training dataset to manipulate the classifier's performance. In this paper, we first evaluate the accuracy degradation of OC-SVM classifiers with 3 different poisoning strategies with the ADLA-FD public dataset and a real world dataset. Secondly, we propose a saniti-zation mechanism based on the DBSCAN clustering algorithm. In addition, we investigate the influences of different distance metrics and different dimensionality reduction techniques and evaluate the sensitivity of the DBSCAN parameters. The ex-perimental results show that the poisoning attacks can degrade the performance of the OC-SVM classifier to a large degree, with an accuracy equal to 0.5 in most settings. The proposed sanitization method can filter out poisoned samples effectively for both datasets. The accuracy after sanitization is very close or even higher to the original value.
Exploring the Ferroptosis Mechanism of Zhilong Huoxue Tongyu Capsule for the Treatment of Intracerebral Hemorrhage Based on Network Pharmacology and In Vivo Validation

Objective The purpose of this study is to explore the mechanism of the Zhilong Huoxue Tongyu (ZL) capsule in the treatment of intracerebral hemorrhage (ICH) via targeting ferroptosis based on network pharmacology. Methods The active ingredients and related key targets of the ZL capsule were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were also performed. Finally, identified targets were validated in an in-vivo model of ICH. Results A total of 30 active ingredients and 33 intersecting targets were identified through a TCMSP database search. Ingredients-Targets-Pathways network was constructed to filter out the key targets according to the degree value. TP53 was selected as the key target. The in-vivo validation studies demonstrated that TP53 was down-regulated and GPX4 was upregulated in rats following ZL capsule treatment. Conclusions It is concluded that the ZL capsule could alleviate ICH in a muti-target and multi-pathway manner. ZL capsule could alleviate ICH by inhibiting ferroptosis, and TP53 is identified to be the potential target. Further research is needed to clarify the detailed anti-ferroptotic mechanism of the ZL capsule.
Awareness and Users’ Opinion regarding Need of Virtual Reference Service in Chandigarh Region Innovation and Knowledge Cluster Institutions (CRIKC) in India: A Study

Abstract The present study aims to highlight the users’ awareness as well as opinion regarding virtual reference service (VRS) in respect to traditional reference service (TRS) and to throw light on critical dimensions which may provide new insight in the pre-implementation stage of VRS in Chandigarh Region Innovation and Knowledge Cluster (CRIKC) libraries. The study is based on a sample drawn from users of the CRIKC libraries. To assess and evaluate the users’ perception about the feasibility of VRS, a structured interview schedule was prepared and conducted among 388 users of CRIKC libraries. The reason for choosing an interview schedule was to know the status of VRS as well as users’ opinion regarding the service in greater depth.
Sailing on Far Infrared and Submillimeter Waves Plasma Diagnostics, towards THz-TDS and beyond

In the preface of their iconic book [1] M.A. Heald and C.B. Wharton summarize the concept of plasma diagnostics, as the instrumentation "to make unperturbed measurements of plasma parameters". The term diagnostics has medical origin, having been acquired from the studies of the effect of nuclear radiation by the Atomic Energy Commission (AEC) when the Sherwood Program for controlled nuclear fusion research was launched. This paper will give an overview of plasma diagnostics and plasma heating systems in the Far Infrared Radiation (FIR) and submillimeter waves range (100-2000 GHz) for magnetically confined plasmas in tokamaks [2]. Then the novel addition to the diagnostics landscape coming from Terahertz Time Domain Spectroscopy (THz-TDS) applications will be discussed.
Necroptosis Contributes to LPS-Induced Activation of the Hypothalamic-Pituitary-Adrenal Axis in a Piglet Model

Stressors cause activation of the hypothalamic-pituitary-adrenal (HPA) axis and a systemic inflammatory response. As a newly proposed cell death manner in recent years, necroptosis occurs in a variety of tissue damage and inflammation. However, the role of necroptosis in HPA axis activation remains to be elucidated. The aim of this study was to investigate the occurrence of necroptosis and its role in HPA activation in a porcine stress model induced by Escherichia coli lipopolysaccharide (LPS). Several typical stress behaviors like fever, anorexia, shivering and vomiting were observed in piglets after LPS injection. HPA axis was activated as shown by increased plasma cortisol concentration and mRNA expression of pituitary corticotropin-releasing hormone receptor 1 (CRHR1) and adrenal steroidogenic acute regulatory protein (StAR). The mRNA expression of tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β) and IL-6 in the hypothalamus, pituitary gland and adrenal gland was elevated by LPS, accompanied by the activation of necroptosis indicated by higher mRNA expression of necroptosis signals including receptor-interacting protein kinase (RIP) 1, RIP3, and phosphorylated mixed-lineage kinase domain-like protein (MLKL). Furthermore, necrostatin-1 (Nec-1), an inhibitor of necroptosis, inhibited necroptosis indicated by decreased mRNA levels of RIP1, RIP3, MLKL, and phosphoglycerate mutase family member 5 (PGAM5) in the hypothalamus, pituitary gland and adrenal gland. Nec-1 also decreased the mRNA expression of TNF-α and IL-β and inhibited the activation of the HPA axis indicated by lower plasma cortisol concentration and mRNA expression of adrenal type 2 melanocortin receptor (MC2R) and StAR. These findings suggest that necroptosis is present and contributes to HPA axis activation induced by LPS. These findings provide a potential possibility for necroptosis as an intervention target for alleviating HPA axis activation and stress responses.
Crust–mantle interactions in Zijinshan ore field identified by zircon SIMS U–Pb age and zircon Hf–O isotopes

Abstract This study presents zircon U–Pb geochronology and Hf and O isotope data for granitic rocks in the Zijinshan ore field, southwestern Fujian Province, China. The intrusive rocks comprise monzogranite, granite and granodiorite. The magmatic zircon U–Pb ages from these granitic rocks can be divided into four episodes: episodes 1 (157.9–159.9 Ma) and 2 (141 Ma) in the Late Jurassic and episodes 3 (108.1–103.2 Ma) and 4 (97.5–99.7 Ma) in the Middle and Late Cretaceous, respectively. Patterns of rare-earth elements (REE) show enrichment in light REE and obvious negative Eu anomalies. These rocks are also enriched in Rb, Th, U, La, Ce, Nd and Hf, and depleted in Ba, Nb, Sr, P and Ti. The increasing La/Yb ratio and decreasing heavy REE content with decreasing age may imply an increasing contribution of mantle-derived materials from the Late Jurassic to Cretaceous. The zircon ϵ Hf(t) and δ18O values, ranging from −37.7 to −2.8 and 12.0 ‰ to 6.3 ‰, respectively, indicate that the lower crust is an important source of granitic rocks. There was a significant increase in ϵ Hf(t) values and a decrease in δ18O values in the younger magmatic episodes (3 and 4), which ranged from −11.4 to −0.6 and 10.7 to 6.3 ‰, respectively. This suggests an increasing contribution of mantle-derived magma to the crustal melts from the Late Jurassic to late Early Cretaceous in response to the changing regional tectonic setting from compression to extension and an increasing interaction between the crust and mantle.
Electric Source Imaging in Presurgical Evaluation of Epilepsy: An Inter-Analyser Agreement Study

Electric source imaging (ESI) estimates the cortical generator of the electroencephalography (EEG) signals recorded with scalp electrodes. ESI has gained increasing interest for the presurgical evaluation of patients with drug-resistant focal epilepsy. In spite of a standardised analysis pipeline, several aspects tailored to the individual patient involve subjective decisions of the expert performing the analysis, such as the selection of the analysed signals (interictal epileptiform discharges and seizures, identification of the onset epoch and time-point of the analysis). Our goal was to investigate the inter-analyser agreement of ESI in presurgical evaluations of epilepsy, using the same software and analysis pipeline. Six experts, of whom five had no previous experience in ESI, independently performed interictal and ictal ESI of 25 consecutive patients (17 temporal, 8 extratemporal) who underwent presurgical evaluation. The overall agreement among experts for the ESI methods was substantial (AC1 = 0.65; 95% CI: 0.59–0.71), and there was no significant difference between the methods. Our results suggest that using a standardised analysis pipeline, newly trained experts reach similar ESI solutions, calling for more standardisation in this emerging clinical application in neuroimaging.
Polling Based Per-core Workqueue Management in XFS Journaling

In this paper, we analyze the scalability of XFS journaling and improve the many-core scalability of XFS journaling. We found that the lock contention in the async and await mechanisms, such as workqueue and waitqueue, is one of the main causes for the scalability failure in XFS journaling. We propose per-core pool workqueue and polling based on-disk logging to solve these problems. By using per-core pool workqueue, we resolve the lock contention on thread pool used in the workqueue module. By using polling based on-disk logging, XFS waits for the journal thread to finish in polling based mechanism. We resolve the lock contention on global waitqueue and reduce the latency of on-disk logging through polling. We implement these methods based on XFS. In varmail and exim workloads, the proposed techniques improve the benchmark performance by 57% and 28% against XFS, and 9% and 28% against ScaleXFS, respectively.
Effects of Nursing Care for the Treatment of Patients with Bladder Cancer: A Systematic Review and Meta-analysis

Purpose In this study, a systematic review and meta-analysis were used to examine the effectiveness of nursing care in the treatment of bladder cancer patients. The platforms of PubMed, Embase, Cochrane Library, and Web of Science were used to conduct a thorough literature search. Methods The searching approach was used to find the fundamental characteristics of 5 studies. Sample size ranged from 52 to 131,852, and total sample size was 151,166. The study was looked up in PubMed, Embase, and Web of Science, with the most recent search being done in July 2022. Utilizing a standardized form, two independent reviewers gathered pertinent information from research that qualified as literature (17). Review Manager 5.3 used the data to examine the literature. Statistics were deemed significant at p < 0.05. Results We discovered that more bladder cancer patients with T1+T2 tumor stages were receiving nursing care than those with T1+T2 tumor stages were receiving control care (mean difference =1.27, 95% CI: 1.20-1.35, p < 0.00001). The proportion of bladder cancer patients with T3+T4 tumor stage in the nursing care group was lower than the proportion of patients with T3+T4 tumor stage in the control group (mean difference = 1.07; 95% CI: 1.01-1.14; p < 0.00001). The difference between the number of bladder cancer patients receiving radiotherapy in the nursing care group and the control group was not statistically significant (mean difference = 1.07, 95% confidence interval [CI]: 0.99-1.16, p = 0.11). There were fewer patients with bladder cancer receiving chemotherapy in the nursing care group than that in the control group (mean difference = -0.02, 95% CI: -0.0-0.02, p < 0.00001). The incidence rate of patients with bladder cancer with major complications in nursing care group was lower than that of patients with bladder cancer with major complications in control group (mean difference = 0.41 95% CI: 0.18-0.93, p = 0.03). When compared to patients with bladder cancer who had serious complications in the control group, the hospital death rate for nursing care patients had a greater incidence of bladder cancer patients (mean difference = 4.64 95% CI: 4.46-4.82, p < 0.00001). Conclusion This study demonstrated that the effects of nursing care reduced the incidence rate of chemotherapy and the frequency of severe problems in bladder cancer patients.
Quantum Finite Elements for Lattice Field Theory

Viable non-perturbative methods for lattice quantum field theories on curved manifolds are difficult. By adapting features from the traditional finite element methods (FEM) and Regge Calculus, a new simplicial lattice Quantum Finite Element (QFE) Lagrangian is constructed for fields on a smooth Riemann manifold. To reach the continuum limit additional counter terms must be constructed to cancel the ultraviolet distortions. This is tested by the comparison of phi 4-th theory at the Wilson-Fisher fixed point with the exact Ising (c =1/2) CFT on a 2D Riemann sphere. The Dirac equation is also constructed on a simplicial lattice approximation to a Riemann manifold by introducing a lattice vierbein and spin connection on each link. Convergence of the QFE Dirac equation is tested against the exact solution for the 2D Riemann sphere. Future directions and applications to Conformal Field Theories are suggested.
Tourism at the Crossroads between Well-Being, Public Health and the Environment: Panel Data Evidence from the European Union

The recent pandemic crisis led to a drop in tourism, and it highlighted the connection between tourism, healthcare, environmental concerns and well-being. In this context, the purpose of the research is to clarify the relationship between tourism, happiness, healthcare and environmental expenditure. Statistical data provided by the World Bank, Eurostat and the World Happiness Database from the EU27 countries, from 2000 to 2019, were used. In order to investigate the relationship between these indicators, the panel Autoregressive Distributed Lag (ARDL) method was used. In the long run, happiness and environmental and healthcare expenditure have a statistically significant and positive impact on tourism arrivals and receipts. It follows that a 1% increase in happiness supports between 4% and 9% of international tourism, while a 1% increase in environmental expenditure supports an increase of 2% in international tourism. Additionally, there is a significant interaction between happiness and either environmental or healthcare expenditure in the long run. This means that increasing happiness diminishes the effect of the later on tourism arrivals and receipts. No short-term relationship was identified between arrivals and any of the above-mentioned variables. In the same context, healthcare expenditure has a negative short-term effect on tourism receipts. The research contributes to the literature by suggesting that increasing national happiness, healthcare and environmental expenditure has a beneficial spillover effect on tourism arrivals and receipts in the long run.
Non-Intrusive Load Monitoring Using Identity Library Based on Structured Feature Graph and Group Decision Classifier

Non-intrusive load monitoring (NILM) is performed to realize intelligent power consumption. A load identification algorithm which is flexible for various households is required to realize automatic NILM. An approach of NILM proposed in this paper is general for most types of loads and exclusive for different users. In this paper, inspired by the knowledge graph holding strong power for knowledge representing, a load feature graph that preserves sufficient information is constructed. The graph provides a net relation between load types and features, which is the basis of load knowledge reasoning. After transforming current and voltage into structured images and data according to the net relation, the convolutional neural networks and combined Support Vector Machines are used to classify images and data respectively. Furthermore, to minimize running time, a customized load identity library focusing on the individual user is proposed. Considering requirements of different computing power resources, above processes are deployed on the architecture of end-cloud collaboration. The experimental results on NILM datasets demonstrate that the proposed method outperforms most of the existing methods in the recognition accuracy and supports for different types of users.