Miracle-dz/UniFAR-FTUs huggingface dataset:
Electron–ion Recombination Rate Coefficients of Be-like 40Ca16+

Electron–ion recombination rate coefficients for beryllium-like calcium ions in the center of mass energy from 0 to 51.88 eV have been measured by means of the electron–ion merged-beam technique at the main cooler storage ring at the Institute of Modern Physics in Lanzhou, China. The measurement energy range covers the dielectronic recombination (DR) resonances associated with the core excitations and the trielectronic recombination (TR) resonances associated with the core excitations. In addition, the AUTOSTRUCTURE code was used to calculate the recombination rate coefficients for comparison with the experimental results. Resonant recombination originating from parent ions in the long-lived metastable state ions has been identified in the recombination spectrum below 1.25 eV. A good agreement is achieved between the experimental recombination spectrum and the result of the AUTOSTRUCTURE calculations when fractions of 95% ground-state ions and 5% metastable ions are assumed in the calculation. It is found that the calculated TR resonance positions agree with the experimental peaks, while the resonance strengths are underestimated by the theoretical calculation. Temperature dependent plasma rate coefficients for DR and TR in the temperature range of 103–108 K were derived from the measured electron–ion recombination rate coefficients and compared with the available theoretical results from the literature. In the temperature range of photoionized plasmas, the presently calculated rate coefficients and the recent results of Gu & Colgan et al. are up to 30% lower than the experimentally derived ones, and the older atomic data are even up to 50% lower than the present experimental result. This is because strong resonances situated below electron–ion collision energies of 50 meV were underestimated by the theoretical calculation, which also has a severe influence on the rate coefficients in low-temperature plasmas. In the temperature range of collisionally ionized plasmas, agreement within 25% was found between the experimental result and the present calculation as well as the calculation by Colgan et al. The present result constitutes a set of benchmark data for use in astrophysical modeling.
Dynamic Modeling of Carbon Dioxide Transport through the Skin Using a Capnometry Wristband

The development of a capnometry wristband is of great interest for monitoring patients at home. We consider a new architecture in which a non-dispersive infrared (NDIR) optical measurement is located close to the skin surface and is combined with an open chamber principle with a continuous circulation of air flow in the collection cell. We propose a model for the temporal dynamics of the carbon dioxide exchange between the blood and the gas channel inside the device. The transport of carbon dioxide is modeled by convection–diffusion equations. We consider four compartments: blood, skin, the measurement cell and the collection cell. We introduce the state-space equations and the associated transition matrix associated with a Markovian model. We define an augmented system by combining a first-order autoregressive model describing the supply of carbon dioxide concentration in the blood compartment and its inertial resistance to change. We propose to use a Kalman filter to estimate the carbon dioxide concentration in the blood vessels recursively over time and thus monitor arterial carbon dioxide blood pressure in real time. Four performance factors with respect to the dynamic quantification of the CO2 blood concentration are considered, and a simulation is carried out based on data from a previous clinical study. These demonstrate the feasibility of such a technological concept.
Homoeopathic management of depression with comorbid eczema: A case report

Depression is a common mental disorder that presents with depressed mood, loss of interest or pleasure, decreased energy, feelings of guilt or low self-worth, disturbed sleep or appetite, and poor -concentration. A case of 53 years old female is reported to out patient department of National homoeopathy research institute in mental health, Kottayam on 25/10/19 with symptoms of severe depression with eczema on the right hand. Ignatia was selected after detailed case taking and Repertorization with due consultation with Materia Medica. Patient showed positive response in eczema with improvement in mental symptoms. A significant improvement according to Hamilton Depression Rating Scale and Beck depression inventory were observed. This document shows another aspect of healing of psychological disorders through homoeopathy along with improvement of skin symptoms.
Examining the Relationship Between Financial Knowledge, Risk Tolerance, and Past Behavioural Bias on Investors Actual Investment Behavior

Purpose: The present study aims to determine the factors influencing investment intention and actual investment behaviour in mutual funds. The study uses financial knowledge and risk tolerance as moderators and past behavioral bias as a mediator. Theoretical framework: The Theory of Planned Behaviour (TPB) appears to have become a very useful model for predicting various investing behaviours. Therefore, the present utilises the TPB model to analyse mutual fund investment behaviour. Design/methodology/approach: The convenience sampling method was used to collect respondents from a population of 582 retail investors through questionnaire survey This research used partial least squares structural equation modelling (PLS-SEM) as the main method of data analysis using SmartPLS 4. Findings: Attitude, financial knowledge, and risk tolerance emerged as the most important determinants of mutual fund investment intention. This highlights the significance of creating favorable conditions in terms of accessibility, which may encourage and ease the decision of investors to purchase mutual funds. Research, Practical & Social implications: Marketers can explain how their mutual fund offerings would help both the market and investors. Marketers should prioritize proper communication about the benefits of mutual funds to investors, as communication is regarded as a critical tool for the success of mutual fund products. Originality/value: To understand individual investors' intentions to engage in mutual funds, the impact of attitude, subjective norms, and perceived behavioural control on investor intentions and, actual investment behaviour were hypothesised and analysed, financial knowledge and risk tolerance functioning as moderators. Additionally, past behavioural bias is a mediator.
Factors Influencing the Auditor Independence and Affects to Audit Quality of Supreme Audit Institution of Vietnam

Purpose: The aim of this study is to explore the factors affect to auditor independence, and impacts auditor independence to audit quality of Supreme Audit Institution (SAI). Theoretical framework: This study explores factors affecting the auditor independence in public sector based on articles pertaining to public sector audits that were published in major publications in the 20th century. The theories were applied in order to build up research model about factors influencing the auditor independence and affects to SAI’s audit quality. Design/methodology/approach: Research using complex techniques to analyze complex relationships in the SEM model. This result tests research model in Vietnam from the perspective of the state auditors’ perception with 225 valid responses. Findings: The result found out three primary factors that affect the independence of public-sector auditors: political hegemony, auditor tenure and relationships with auditees. These factors have negative impact on state auditor’s independence, meanwhile auditor independence has a positive impact on SAI’s audit quality. Research, Practical & Social implications: The study contributes to existing literature by providing empirical evidence for there is no suitable audit quality measurement framework for SAIs. Originality/value: The results highlight strong importance of the auditor independence so that SAI Vietnam can have effective solutions to protect independence of state auditor from threats and improve the audit quality of SAI.
Medical Image Registration Based on Inertia Matrix and Iterative Closest Point

The closest iterative point algorithm (ICP) is widely used in medical image registration. But there exist some problems in the following aspects. First, due to its heavily computational load, it has a time-consuming process and a low registration efficiency. Second, due to the fact that it heavily depends on whether the initial rotation and translation matrices of the floating point set can be exactly extracted, it often traps in the local optimum and even fails to register images. In addition, due to the complexity of medical images, it is difficult to automatically extract the salutary feature points. In this paper, by computing the coordinate inertia matrices of the reference and floating images, the rotation angles are obtained and referred to as the initial rotation parameters of ICP for image registration. The edges of the reference and floating images are detected by the edge convolution kernel so-called B-spline gradient operator (BSGO) and then the binarization images involving the feature points are acquired. The experimental results reveal that, this proposed method has a fairly simple implementation, a low computational load, a fast registration and good alignment accuracy. Also, It can efficiently avoid trapping in the local optimum and cater to both mono-modality and multi-modality image registrations.
NARIZ ELECTRÓNICA INALÁMBRICA (NEI) PARA CONTROL DE EMISIONES DE GASES EN MINAS DE CARBÓN

Resumen: Este trabajo describe una Nariz Electronica Inalambrica (NEI) para la deteccion de diferentes compuestos volatiles o gases toxicos generados en minas de carbon, con el fin de mejorar la seguridad de los trabajadores, las operaciones del proceso y el medio ambiente. El sistema multisensorial artificial propuesto en este estudio se desarrollo a traves de un conjunto de seis sensores de gases quimicos (MQ). El dispositivo electronico comprende tres etapas principales con diferentes funciones: La primera etapa, realiza la adquisicion de la muestra, la segunda el sistema de medicion y la tercera corresponde a la etapa de procesamiento, en la que un ordenador con un software flexible proporciona diferentes metodos de reconocimiento de patrones, como : Analisis de Componentes Principales (PCA), Analisis de Componentes Principales con Kernels (PCAK) y Analisis de Funciones Discriminantes (DFA), donde se aplicaron inicialmente tecnicas de extraccion de caracteristicas al conjunto de datos. Los resultados obtenidos demostraron la viabilidad de la aplicacion, ya que el modelo de comunicacion, los algoritmos de programacion y la implementacion electronica fueron suficientes para monitorizar y almacenar la informacion de las senales del sensor para el analisis adecuado. La tasa de exito en la discriminacion de las medidas fue del 99%, utilizando metodos de reconocimiento de patrones Palabras Claves: Nariz electronica, Adquisicion de datos, Gases toxicos, ZigBee, Minas de carbon.
Automatic Correction Method of ERP Data Entry Errors Based on Big Data

ERP (Enterprise Resource Planning) refers to the use of advanced management ideas and methods and standardized processes and data on the basis of information technology to integrate the resources owned by the enterprise, and finally achieve the purpose of optimal allocation of enterprise resources and business process optimization. ERP can improve the information level and resource allocation efficiency of enterprises. It is a management means that most modern enterprises will adopt. In order to further improve the accuracy and timeliness of enterprise resource management data entry, today's enterprises are considering introducing big data technology into ERP to realize the automatic correction of ERP data entry errors. Starting from the analysis of the current development status of ERP, this paper finds the shortcomings of the ERP system adopted in the enterprise, then puts forward the basic framework and specific application methods of using big data technology to transform the ERP system, and finally puts forward some suggestions on the operation and maintenance of the enterprise ERP system, hoping to improve the efficiency of enterprise resource management, Reduce the error rate of enterprise management data entry.
Biomarkers in Colorectal Cancer: Recent Investigation and Future Prospective

: Colorectalcancer (CRC) is a leading causeof death world wide,despite progress made in detection and management through surgery, chemotherapy, radiotherapy, and immunotherapy. Novel therapeutic agents have improved survival in both the adjuvant and advanced disease settings, albeit with an increased risk of toxicityand cost. However, metastatic disease continues to have a poor long-term prognosis and significant challenges remain due to late stage diagnosis and treatment failure. Biomarkersareakeytoolinearlydetection,prognostication,survival,and predicting treatment response. The past three decades have seen advances in genomics and molecular pathology of cancer biomarkers, allowing for greater individualization of therapy with a positive impact on survival outcomes. Clinically useful predictive biomarkers aid clinical decision making, such as the presence of KRAS gene mutations predicting benefit from epidermal growth factor receptor (EGFR) inhibiting antibodies. However, few biomarkers have been translated into clinical practice highlighting the need for further investigation. We review a range of protein, DNA and RNA-based biomarkers under investigation for diagnostic, predictive, and prognostic properties for CRC. In particular, long non-coding RNAs (lncRNA),have been investigated as biomarkers in a range of cancers including colorectal cancer. Specifically, we evaluate the potential role of lncRNA plasmacytoma variant translocation 1 ( PVT1 ), an oncogene, as a diagnostic, prognostic, and therapeutic biomarker in colorectal cancer.
Extended Hamiltonian Hessenberg Matrices arise in Projection based Model Order Reduction

We show that extended Hamiltonian Hessenberg matrices arise naturally in projection‐based model order reduction. Therefore we reduce a large dynamical system by projecting it on an extended Krylov subspace. The eigenvalues of the reduced order model can then be computed directly by applying the extended Hamiltonian QR algorithm. (© 2015 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Travelling through the Natural Hierarchies of Type I Collagen with X-rays: From Tendons of Cattle, Horses, Sheep and Pigs

Type I collagen physiological scaffold for tissue regeneration is considered one of the widely used biomaterials for tissue engineering and medical applications. It is hierarchically organized: five laterally staggered molecules are packed within fibrils, arranged into fascicles and bundles. The structural organization is correlated to the direction and intensity of the forces which can be loaded onto the tissue. For a tissue-specific regeneration, the required macro- and microstructure of a suitable biomaterial has been largely investigated. Conversely, the function of multiscale structural integrity has been much less explored but is crucial for scaffold design and application. In this work, collagen was extracted from different animal sources with protocols that alter its structure. Collagen of tendon shreds excised from cattle, horse, sheep and pig was structurally investigated by wide- and small-angle X-ray scattering techniques, at both molecular and supramolecular scales, and thermo-mechanically with thermal and load-bearing tests. Tendons were selected because of their resistance to chemical degradation and mechanical stresses. The multiscale structural integrity of tendons’ collagen was studied in relation to the animal source, anatomic location and source for collagen extraction.
Primary Splenic Diffuse Large B-Cell Lymphoma: A Case Report

Primary splenic lymphoma (PSL) is a rare disease and an improbable cause of splenomegaly or splenic nodules. On the contrary, splenic secondary involvement as part of an advanced lymphoproliferative disorder is more common. The authors present the case of a 49-year-old woman with a primary splenic diffuse large B-cell lymphoma (PS-DLBCL), in which the absence of other organs’ involvement determined an ultrasound-guided biopsy of the spleen to achieve a definitive diagnosis. With this case the authors intend to emphasise the extensive differential diagnosis of splenomegaly, splenic nodules or infiltrates, the usefulness of splenic biopsy in establishing the diagnosis and recall a rare disease, with non-specific presenting symptoms, in which the diagnostic workup is challenging. LEARNING POINTS The differential diagnosis of splenic nodules or infiltrates is vast and challenging, and it includes haematological diseases, systemic infectious diseases but also non-malignant infiltrative diseases. Although some lymphomas frequently present with splenomegaly, this is not the case of DLBCL, with the exception of PS-DLBCL. PS-DLBCL is a very rare pathology, accounting for 1% of all DLBCL and less than 1% of all NHL.
Probability Formulation of Soft Error in Memory Circuit

Downscaling threatens the designers invested in integrity and error mitigation against soft errors. This study formulated the probability of soft error changing the logic state of a Differential Logic with an Inverter Latch (DIL). Using Cadence Virtuoso, current pulses were injected into various nodes in stages until a logic flip was instigated. The voltage and temperature parameters were increased to observe the current level changes over time. The critical charge from each stage was obtained, and a method to formulate the probability of each instance was developed. The voltage produced a higher effect of the change to the critical charge of any instance as compared to temperature. The findings revealed that the N-channel metal-oxide semiconductor (NMOS) drain is more vulnerable to temperature and voltage variation than P-channel metal-oxide semiconductor (PMOS).
Omega-K Algorithm for Bistatic SAR Image Formation

Comparing to the common monostatic synthetic aperture radar (SAR), the bistatic SAR data are more challenging to process because of its complicated ∞ight geometry. This pa- per proposes an Omega-K algorithm to handle a general case of bistatic SAR data. The two- dimensional frequency spectrum expression derived by the method of series reversion is rewritten to a new form with explicit geometric signiflcance. Based on this new frequency spectrum ex- pression, the frequency mapping function can be derived by making use of the multi-variable Taylor's theorem. After data mapping operation, the coupling between the range and azimuth can be eliminated, and the flnal focused image can be obtained using FFT technology. Numerical simulations are performed to validate the proposed algorithm.
Investigation of optrodes for infrared stimulation in the deep tissue

During my PhD work, I developed a single-crystalline silicon-based, Michigan-type (in-plane) infrared (IR) optrode capable for simultaneous deep-brain electrophysiological recording and temperature sensing. Although the discovery of IR-induced modulation of cellular activity dates back to the early 2000s, such an integrated, multimodal, long neural probe has never been created. Thanks to this compact investigation tool, further knowledge about the interaction of IR light and deeper regions of the neural tissue can be extended in vivo in a minimally invasive way. At the beginning of my dissertation I give an overview of related fields in the literature of neural microdevices. I briefly introduce some neuroscientific aspects of the applications and the contemporary opportunities of the rich field of implantable neural microdevices with integrated optics. Then I sum up the mechanism of optical and thermal stimulation methods of the nervous system. I introduce the optrode device through the description of its
High Power Switchable Dual-Wavelength Linear Polarized Yb-Dozped Fiber Laser around 1120 nm

A single-and dual-wavelength switchable polarized Yb-doped double-clad fiber laser around 1120 nm based on a pair of fiber Bragg gratings (FBGs) is demonstrated. The polarization-maintaining (PM) linear cavity is composed of a double clad PM Yb-doped fiber (YDF) and a pair of PM FBGs. The laser can operate in stable dual-wavelength or wavelength-switching modes due to the polarization hole burning (PHB) and the spatial hole burning (SHB) enhanced by the PM linear cavity. In dual-wavelength operation, the two orthogonally polarized wavelengths are centered at 1118.912 nm and 1119.152 nm, with an interval of 0.24 nm and a signal to noise ratio (SNR) of 35 dB. The maximum output power is 14.67 W when the launched LD pump is 24 W corresponding to an optical efficiency of 61.1%. The lasing lines switchover may be realized by adjusting the polarization controller (PC) fitted in the cavity. The two single-wavelengths are 1118.912 nm and 1119.152 nm. When the injected LD pump is 24 W, the highest output powers are 7.68 W and 8.64 W corresponding to optical efficiencies of 32% and 36% respectively. The spectral linewidth of the lasing lines are 0.075 nm and 0.07 nm, and the average numerical values of PER are 20.3 dB and 19.9 dB, respectively.
The Role of Metabotropic Glutamate Receptor Subtype 5 in Mouse Models of Cocaine Addiction

Cocaine is a psychostimulant that is one of the most widely used illicit drugs, particularly in America. Cocaine addiction is a chronic relapsing disease that is characterized by drug craving and loss of inhibitory control. Animal models of psychiatric diseases are essential to identify underlying neural circuitry and to test the effectiveness of novel pharmacotherapies to prevent relapse. Current research using animal models indicates that type 5 metabotropic glutamate receptors may be of particular importance to the onset and maintenance of cocaine addiction. This literature review provides a general overview of the glutamate system, and the animal models frequently used in the study of addiction and summarizes peer-reviewed research focused on cocaine-induced adaptations to the type 5 metabotropic glutamate receptors in mice. Cocaine administration in mouse models induces a range of neural changes in the brain, reflecting the neuroadaptations associated with cocaine addiction. Cocaine-induced adaptations to type 5 metabotropic glutamate receptor vary by brain region and by methodological constraints. Key neural changes that occur in the mouse brain following cocaine administration include adaptations in the dopaminergic and glutamatergic systems. The interplay between mGluR5 and the dopamine system plays a significant role in the neurobiological adaptations that drive cocaine addiction. Lastly, we cover the potential efficacy of targeting this receptor as a novel therapeutic option to prevent cocaine relapse. Selective antagonists of this receptor have been studied for their potential therapeutic effects in mouse models of cocaine addiction. These compounds reduce the conditioned responses to drug-associated cues and reduce the motivation to seek cocaine, thereby inhibiting relapse-like behavior, and have been found to modulate synaptic plasticity in brain regions involved in addiction, such as the nucleus accumbens and prefrontal cortex. Overall, these compounds demonstrate promising effects in mouse models of cocaine addiction.
Poster: Client-Side Byzantine Attacks on Raft Algorithm in Blockchain

—Raft is a widely used consensus algorithm in blockchain system ensuring each node in the system to agree upon the data in blocks and maintain their integrity. Raft has advantages of toleration for crash faults and high performance in terms of consensus time. In this study, we propose novel client-side Byzantine attacks on the raft algorithm. We then demonstrate the efficacy of our attacks, and discuss its root cause and mitigation strategies.