Miracle-dz/UniFAR-FTUs huggingface dataset:
Low noise in a diffusion-cooled hot-electron mixer at 2.5 THz

The noise performance of a Nb hot-electron bolometer mixer at 2.5 THz has been investigated. The devices are fabricated from a 12-nm-thick Nb film, and have a 0.30 micrometer x 0.15 micrometer in-plane size, thus exploiting diffusion as the electron cooling mechanism. The rf coupling was provided by a twin-slot planar antenna on an elliptical Si lens. The experimentally measured double sideband noise temperature of the receiver was as low as 2750 +/- 250 K with an estimated mixer noise temperature of approximately equal 900 K. The mixer bandwidth derived from both noise bandwidth and IF impedance measurements was approximately equal 1.4 GHz. These results demonstrate the low-noise operation of the diffusion-cooled bolometer mixer above 2 THz.
Lifetime measurements in cadmium II using the electron-photon delayed coincidence technique

The electron-photon delayed coincidence technique has been used for the first time to measure lifetimes in metal ions. This work is described and lifetime measurements on the first three excited states of cadmium II are reported. These states together with their measured lifetimes are as follows: 52P3/2,1/2 (3.55+or-0.15) ns, a 2D3/2 (290+or-10) ns, a 2D5/2(720+or-40) ns.
Electron dynamics and acceleration study in a magnetized plasma-filled cylindrical waveguide

In this article, EH01 field components are evaluated in a cylindrical waveguide filled with plasma in the presence of external static magnetic field applied along the direction of the mode propagation. The electron acceleration inside the plasma-filled cylindrical waveguide is investigated numerically for a single-electron model. It is found that the electron acceleration is very sensitive to the initial phase of mode-field components, external static magnetic field, plasma density, point of injection of the electron, and microwave power density. The maximum amplitude of the EH01 mode’s field components is approximately 100 times greater than the vacuum-waveguide case for operating microwave frequency f=7.64GHz, plasma density n0=1.08×1017m−3, initial phase angle ϕ0=60°, and microwave power ∼14MW in a cylindrical waveguide with a radius of 2.1cm. An electron with 100keV gets 27MeV energy gain in 2.5cm along the waveguide length in the presence of external power ∼14MW with a microwave frequency of 7.64GHz.
Transcutaneous Detection of Intramural Microchips for Tracking the Migration of the Equine Large Colon: A Pilot Study

Simple Summary Colic due to large colon displacement is one of the leading causes for equine hospitalization and surgery, yet there is not an adequate model to study the pathophysiology of this condition. The objective of this proof-of-concept study was to determine if subserosal implantation of bioinert microchips in the large intestine would be detectable by a receiver when the implanted microchips were adjacent to the body wall, thus identifying the location of the colon within the abdomen. The implantation of microchips with successful localization of various regions of the large colon was accomplished with no adverse effects identified. The future goal is to apply this safe and reliable model to monitor colonic movement in relation to various stimuli in a larger population of horses that can help identify environmental and dietary risk factors and preventative methods for colic due to large colon displacement. Abstract Colic remains the number one cause of mortality in horses, and large colon displacement including colonic volvulus is one of the leading causes for equine hospitalization and surgery. Currently, there is not an adequate model to study the pathophysiology of this condition. The objective of this proof-of-concept study was to determine if subserosal implantation of bioinert microchips in the large intestine would be detectable by a RFID (radio-frequency identification) receiver when the implanted microchips were adjacent to the body wall, thus identifying the location of the colon within the abdomen. A horse with no history of gastrointestinal disease underwent a ventral midline celiotomy to implant twelve bioinert microchips into the subserosa at predetermined locations within the large colon and cecum. A RFID scanner was used to monitor the location of the colon via transcutaneous identification 1–3 times daily for a one-month period. Following humane euthanasia, a postmortem examination of the horse was performed to assess microchip implantation sites for migration and histologic assessment. Eleven out of the 12 implanted microchips were successfully identified transcutaneously at occurrences as high as 100%. Odds ratios were calculated for the likelihood of identifying each chip in a location different from its most common location. Microchips implanted into the subserosa of the equine large colon can be used as a means of identifying the approximate location of the equine large colon via transcutaneous identification with an RFID scanner.
Strategically aligning human resources skills in preparation for the Fourth Industrial Revolution

Preparing for the Fourth Industrial Revolution (4IR) is imperative to facilitate the survival of businesses through effective manpower planning. Layoffs, in a country tormented by escalating unemployment, will be futile and will exacerbate the already unsurmountable unemployment problem. The obvious action is to prevent the loss of social capital and for human resource (HR) managers to upskill employees and find the right skills for the job in an effort to align HR skills required with the new opportunities that 4IR will bring to the workplace. The 4IR is at the doorstep of business. Those businesses that do not prepare adequately for it will face dramatic consequences. There is a paucity of research providing guidelines and strategies that businesses can consider and adopt in efforts to plan for the 4IR climate. This study, therefore, assesses the activities that HR managers, especially in businesses in developing countries, can adopt and engage in order to guide the organisation to have the appropriate skills and talent to transition into the 4IR work environment. The study adopts a grounded theory approach to explore what is needed to achieve a sustainable 4IR. It provides HR professionals with insight into the 4IR skills alignment framework, digital skills and competencies needed in the 4IR and recommendations to enable practitioners to effectively prepare for the 4IR (Adams, 2006; South African Board for People Practices [SABPP], 2012). HR managers play a pivotal role in predicting future changes that affect the workforce and in guiding the organisation to transition from a values-driven standpoint.
Texture shape optimization induced higher load carrying capacity of sealing ring based on improved PSO algorithm

An improved particle swarm optimization (PSO) algorithm is presented to optimize the texture shape of the sealing ring in order to enhance the load carrying capacity (LCC). The shape optimization uses the unrelated generation method of the texture curves, and two splines are applied to fit the boundary of the texture to improve the continuity. The inertia factor is adjusted through the differential strategy to enhance the local optimization capacity. The optimization model is verified by two optimization cases. The optimized texture is bullet-shaped. The increase of inlet oil pressure transforms the optimized texture from the bullet shape to the inner spiral shape. In addition, the increase of the texture depth leads to the gradual elongation of the texture shape. The increase in the number of textures flattens the seal texture. The results shows that the improved PSO algorithm has high global optimization ability of the texture shape for the sealing ring in the vehicle transmission through appropriate parameter settings.
Evaluating Relationship between CRM, Customer Satisfaction and Client Loyalty in Indian Real Estate

: Real estate goods require high levels of consumer interaction and customer satisfaction to maintain client loyalty. Executives working in real estate must improve client experience by providing superior services due to fierce competition. The present study used Chai Song (2013) CRM model to investigate relationship. Customers from various sites provided a total of 222 replies to a well-constructed questionnaire to ascertain the link between the researched variables. The data were assessed using SPSS-21 and Structural Equation Modeling (SEM) to ascertain the relationship between the components. The data analysis showed that, at a 5% level of significance, employee behavior, quality of services, and relationship development all had a substantial in fluence on customer satisfaction and loyalty. A direct effect value of (β= .56 .46 .48, .38, .46, .38, P = 0.000) was obtained for the hypothesis. Based on the direct affect and p value, the Hypothesis H1, H2, H3, H4, H5, and H6 were accepted. The values (β= -0.37, -0.39; P=0.23, 0.21), on the other hand, were discovered to be adverse for managing relationship in terms of client loyalty and customer satisfaction. The hypotheses H7 and H8 were therefore rejected. Additionally, it was shown that client loyalty was significantly influenced by customer satisfaction, supporting hypothesis H9. The analysis also revealed that client loyalty and CRM are mediated by customer satisfaction.
LHC's ATLAS AND CMS DETECTORS !

We describe the design of the ATLAS and CMS detectors as they are being prepared to commence data-taking at CERN's Large Hadron Collider (LHC). The very high energy proton–proton collisions are meant to dissect matter and space–time itself into its primary elements and generators. The detectors by synthesizing the information from the debris of the collisions are reconstituting the interactions that took place. LHC's ATLAS and CMS experiments (and not only these) are at the closest point of answering in the lab some of the most puzzling fundamental observations in nature today.
Spectrum and fine spectrum of the upper triangular matrix U(r, s) over the sequence spaces

Fine spectra of various matrix operators on different sequence spaces have been investigated by several authors. Recently, some authors have determined the approximate point spectrum, the defect spectrum and the compression spectrum of various matrix operators on different sequence spaces. Here in this article we have determined the spectrum and fine spectrum of the upper triangular matrix U(r,s) on the sequence space cs. In a further development, we have also determined the approximate point spectrum, the defect spectrum and the compression spectrum of the operator U(r,s) on the sequence space cs.
VIEWS ON THE STRUCTURE OF TRANSIENT DIESEL SPRAYS

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An adaptive robust UKF initial alignment algorithm

In the case that the initial alignment angle of inertial navigation system is large and does not satisfy the hypothesis of small alignment angle, a nonlinear error model is needed to describe the attitude error of inertial navigation system, and a nonlinear algorithm is used to estimate the alignment angle. The unscented Kalman Filter (UKF) is selected as the filtering algorithm for the combined system. Due to the problem that the current UKF algorithm has poor adaptive ability, and the current adaptive UKF algorithm is easy to be affected by unknown noise characteristics of the system, an improved introduction method of adaptive fading factor is proposed. Simulation results show that the proposed method has higher accuracy in estimating the misalignment angle when the prior information is inaccurate.
Multi-Agent Deep Reinforcement Learning Based Downlink Beamforming in Heterogeneous Networks

We consider a heterogeneous network (HetNet), where multiple access points (APs) of potentially different transmission capacities serve users simultaneously via beamforming in the same spectrum band. We propose a beamforming framework that exploits multi-agent deep reinforcement learning (DRL) for the HetNet to maximize the system downlink sum-rate. In our framework, each AP acts as an agent, which is equipped with an online policy deep neural network (DNN) and an online Q-function DNN. The former generates an AP’s beamforming vector based only on local observations in a time slot, while the latter evaluates the appropriateness of this beamforming vector. We present a distributed-updating-centralized-rewarding scheme to train the policy DNNs and Q-function DNNs of all the APs in an online trial-and-error way. Under this scheme, all the APs take the system downlink sum-rate in a recent time slot (informed by a central controller) as their identical one-step reward. Trained by the experience items with centralized rewards in every time slot, the weight vectors of each AP’s local DNNs will be updated in the direction to the global optimum. Simulation results demonstrate that the proposed framework converges fast and outperforms the benchmark beamforming methods in terms of the system downlink sum-rate performance.
A Weighted k-Nearest Neighbours Ensemble With Added Accuracy and Diversity

Ensembles based on <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN models are considered effective in reducing the adverse effect of outliers, primarily, by identifying the closest observations to a test point in a given training data. Class label of the test point is estimated by taking a majority-vote of the nearest observations’ class labels. While identifying the closest observations, certain training patterns might possess high regulatory power than the others. Therefore, assigning weights to observations and then calculating weighted distances are deemed important in addressing this scenario. This paper proposes a <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN ensemble that identifies nearest observations based on their weighted distance in relation to the response variable via support vectors. This is done by building a large number of <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN models each on a bootstrap sample from the training data along with a randomly selected subset of features from the given feature space. The estimated class of the test observation is decided via majority voting based on the estimates given by all the base <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN models.The ensemble is assessed on 14 benchmark and simulated datasets against other classical methods, including <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>NN based models using Brier score, classification accuracy and Kappa as performance measures. On both the benchmark and simulated datasets, the proposed ensemble outperformed the other competing methods in majority of the cases. It gave better overall classification performance than the other methods on 8 datasets. The analyses on simulated datasets reveal that the proposed method is effective in classification problems that involve noisy features in the data. Furthermore, feature weighting and randomization also make the method robust to the choice of <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>, i.e., the number of nearest observations in a base model.
Design Two Novel Tetrahydroquinoline Derivatives against Anticancer Target LSD1 with 3D-QSAR Model and Molecular Simulation

Lysine-specific demethylase 1 (LSD1) is a histone-modifying enzyme, which is a significant target for anticancer drug research. In this work, 40 reported tetrahydroquinoline-derivative inhibitors targeting LSD1 were studied to establish the three-dimensional quantitative structure–activity relationship (3D-QSAR). The established models CoMFA (Comparative Molecular Field Analysis (q2 = 0.778, Rpred2 = 0.709)) and CoMSIA (Comparative Molecular Similarity Index Analysis (q2 = 0.764, Rpred2 = 0.713)) yielded good statistical and predictive properties. Based on the corresponding contour maps, seven novel tetrahydroquinoline derivatives were designed. For more information, three of the compounds (D1, D4, and Z17) and the template molecule 18x were explored with molecular dynamics simulations, binding free energy calculations by MM/PBSA method as well as the ADME (absorption, distribution, metabolism, and excretion) prediction. The results suggested that D1, D4, and Z17 performed better than template molecule 18x due to the introduction of the amino and hydrophobic groups, especially for the D1 and D4, which will provide guidance for the design of LSD1 inhibitors.
Effect of gas-chromatography column regeneration during the CHN/S analysis of copper-chromium disulfide

The effect of gas-chromatography column (GCC) regeneration during the CHN/S analysis of copper-chromium disulfide CuCrS2 (CCDS) samples on the Euro EA 3000 analyzer was identified. The effect results in a perfect straight baseline on the chromatograms of both CuCrS2 and standard samples. The obtained straight baseline causes high-quality peaks separation. In addition, the reported regeneration procedure reduces significantly the GCC regeneration duration that usually takes up to several days.
Investigations of LHW-plasma coupling and current drive at high density related to H-mode experiments in EAST

Two important issues in achieving lower hybrid current drive (LHCD) high confinement plasma in EAST are to improve lower hybrid wave (LHW)-plasma coupling and to drive the plasma current at a high density. Studies in different configurations with different directions of toroidal magnetic field (Bt) show that the density near the antenna is affected by both the radial electric field induced by plasma without a LHW (Er_plasma) in the scrape off layer (SOL), and the radial electric field induced by LHW power (Er_LH) near the grill. Investigations indicate that Er × Bt in the SOL leads to a different effect of configuration on the LHW-plasma coupling and Er_LH × Bt accounts for the asymmetric density behaviour in the SOL observed in the experiments, where Er is the total radial electric field in the SOL. Modelling of parametric instability (PI), collisional absorption (CA) and scattering from density fluctuations (SDF) in the edge region, performed considering the parameters of high density LHCD experiments in EAST, has shown that these mechanisms could be responsible for the low current drive (CD) efficiency at high density. Radiofrequency probe spectra, useful for documenting PI occurrence, show sidebands whose amplitude in the case of the lithiated vacuum chamber is smaller than in the case of poor lithiation, consistently with growth rates from PI modeling of the respective reference discharges. Since strong lithiation is also expected to diminish the parasitic effect on the LHCD of the remaining possible mechanisms, this appears to be a useful method for improving LHCD efficiency at a high density.
qPCR analysis of Ty-2 and Ty-3 gene pyramided lines of tomato for resistance to tomato leaf curl New Delhi virus (ToLCNDV)

The present study was carried out at the ICAR-IARI, New-Delhi, India during 2017-18 to analyze the tomato genotypes having Ty-2 and Ty-3 genes incorporated through molecular breeding for resistance against the tomato leaf curl New Delhi virus (ToLCNDV). ToLCNDV is most predominant virus and causes huge economic loss in tomato, chilli, many cucurbits and cotton. Presently six genes Ty-1, Ty-2, Ty-3, Ty-4, ty-5 and Ty-6 are being utilized to address the tomato leaf curl disease (ToLCD). The tomato genotypes under study were grown in the field, along with susceptible and resistant checks. Genotyping was done to know the status of Ty-2 and Ty-3 genes in all the tomato samples.The tomato lines showing phenotypic resistance against ToLCNDV in the field were grown under controlled conditions in phytotron and agroinoculated with ToLCNDV genome. ToLCNDV agroinoculated tomato lines were checked for ToLCNDV specific AC4 transcript by qPCR assay.ToLCNDV specific AC4 transcript level was 4 log fold high in the susceptible check (Pusa Ruby) as compared to donor line (EC814916). However, AC4 transcript level was 2.1-2.8 log fold lower in the tomato line 218 (P. Ruby Ã—EC814916) as compared to susceptible var. Pusa Ruby. The study shows the importance of Ty-3 gene for imparting resistance against ToLCD disease in tomato.
Dark Matter Searches with Germanium Detectors with sub-keV Sensitivities

The theme of the TEXONO research program is on the studies of low energy neutrino and dark matter physics. The current goals of the TEXONO research program are on the development of germanium detectors with sub-keV sensitivities to realize experiments on neutrino magnetic moments, neutrino-nucleus coherent scattering, as well as WIMP dark matter searches. The compatible sensitivities at low mass WIMP searches has achieved with a four-channel ultra-lowenergy germanium prototype detector each with an active mass of 5 g at the Kuo-Sheng Neutrino Laboratory (KSNL). Data are being taken with a 500 g Point Contact Germanium detector will be demonstrated. The projected sensitivities for WIMP and axion dark matter searches would be also discussed. The dark matter program evolves into a dedicated experiment with CDEX at China Jing-Ping underground laboratory (CJPL) in Sichuan, China.
A Multi-Objective Direct Heuristic Dynamic Programming Based Tracking Control for Wastewater Treatment Process

WASTEWATER treatment process (WWTP) plays an important role in human production and life. It reduces wastewater by biochemical treatment to protect the environment. Meanwhile the highly nonlinear WWTP is difficult to model mathematically with unknown disturbances and strong coupling. In the past decades, many great efforts have been made to improve the control performance, such as on-off control [1] , PID control, feed-forward control [2] , fuzzy-based control [3] , neural network (NN)-based method [4] , and model predictive control (MPC) [5] , [6] , etc. While traditional control strategies are tuned by experience offline, fuzzy-based method is difficult to implement when the expert experience is hard to obtain, and MPC relies on a precise prediction model in advance.
Optimizing Access to the COVID-19 Vaccination for People Experiencing Homelessness

The success of the Australian COVID-19 vaccination strategy rested on access to primary healthcare. People experiencing or at risk of homelessness are less likely to access primary healthcare services. Therefore, leaders in homeless health service delivery in Sydney identified the need to develop a vaccine hub specifically for this vulnerable population. The aim of this study was to develop an evidenced based model of care to underpin the Vaccine Hub and optimize access to vaccination for people experiencing or at risk of homelessness. A mixed methods study was conducted that included interviews with key stakeholders involved in establishing and delivering the Inner City COVID-19 Vaccine Hub, and a survey with people receiving COVID-19 vaccination. Over the 6-month period of this study, 4305 COVID-19 vaccinations were administered. Participants receiving vaccination reported feeling safe in the Vaccine Hub and would recommend it to others. Stakeholders paid tribute to the collective teamwork of the Vaccine Hub, the collaboration between services, the ‘no wrong door’ approach to increasing access and the joy of being able to support such a vulnerable population in challenging times. The study findings have been populated into a Vaccination Hub Blueprint document that can be used as a template for others to improve access to vaccinations for vulnerable populations.