Miracle-dz/UniFAR-FTUs huggingface dataset:
5 F eb 2 01 5 The M ajorana Parts Tracking Database

The M ajorana D emonstrator is an ultra-low background physics experiment searching for the neutrinoless double beta decay of 76 Ge. The M ajorana Parts Tracking Database is used to record the history of components used in the construction of the D emonstrator . The tracking implementation takes a novel approach based on the schema-free database technology CouchDB. Transportation, storage, and processes undergone by parts such as machining or cleaning are linked to part records. Tracking parts provides a great logistics beneﬁt and an important quality assurance reference during construction. In addition, the location history of parts provides an estimate of their exposure to cosmic radiation. A web application for data entry and a radiation exposure calculator have been developed as tools for achieving the extreme radio-purity required for this rare decay search.
A Correlational Analysis between Perception to Gift of Education Scholarship and the Perceived Performance of Scholar Students in Jose Maria College

------------------------------------Abstract : Scholarships are financial aids awards designed to help students to pay their financial needs for college. It is the main factor for students to focus more on studies and strive for success. Striving to their studies may affect their academic performance as a scholar. This Study aims the Correlational Analysis between Perception to Gift of Education Scholarship and the Perceived Performance of Scholar Students in Jose Maria College. The Study utilizes a non-experimental quantitative research approach. With the use of weighted average method, ANOVA statistical analysis of variance and Pearson r for determining the relationship between two variables. Furthermore, the results show there is a very strong positive relationship in Perception to Gift of Education Scholarship and the Perceived Performance of Scholar Students. Researchers has multiple recommendations for both variables, by bringing empathy, compassion, and energy to scholars and for Academic performance by Setting your goals, time management, record lecture notes and try seeking for your instructor if you are having difficulty with your course work.
Taking the Escherichia coli TonB Transmembrane Domain “Ofﬂine”? Nonprotonatable Asn Substitutes Fully for TonB His20 (cid:1)

The TonB system of Gram-negative bacteria uses the proton motive force (PMF) of the cytoplasmic membrane to energize active transport of nutrients across the outer membrane. The single transmembrane domain (TMD) anchor of TonB, the energy transducer, is essential. Within that TMD, His20 is the only TMD residue that is unable to withstand alanine replacement without a loss of activity. H20 is required for a PMF-dependent conformational change, suggesting that the importance of H20 lies in its ability to be reversibly protonated and deprotonated. Here all possible residues were substituted at position 20 (H20X substitutions). The His residue was also relocated throughout the TonB TMD. Surprisingly, Asn, a structurally similar but nonprotonatable residue, supported full activity at position 20; H20S was very weakly active. All the remaining substitutions, including H20K, H20R, H20E, and H20D, the obvious candidates to mimic a proto- nated state or support proton translocation, were inactive. A second-site suppressor, ExbB(A39E), indiscriminately reactivated the majority of H20 substitutions and relocations, including H20V, which cannot be made protonatable. These results suggested that the TonB TMD was not on a proton conductance pathway and thus only indirectly responds to PMF, probably via ExbD. The
Electric vehicle charging load prediction with improved Kernel Extreme Learning Machine

The prediction of electric vehicle charging load can provide an important basis for power grid planning and design. Aiming at the problem that the existing methods are insufficient in the prediction accuracy of electric vehicle charging load, a Kernel Extreme Learning Machine (PSO-KELM) electric vehicle charging load prediction model based on Particle Swarm Optimization (PSO) algorithm optimization is proposed. The model adopts the Monte Carlo method to simulate the electric vehicle charging load for a week by considering the electric vehicle ownership, charging mode, initial charging time and driven distance, and uses PSO-KELM to predict the charging load. Experiments show that the prediction model can comprehensively consider the influencing factors of charging load, effectively improve the accuracy of electric vehicle charging load prediction, and provide a reference for the optimal operation and planning of the power grid.
A shape reconstruction method for electrical impedance imaging based on auto-encoder

Electrical impedance tomography (EIT) is a non-invasive medical imaging technique, and its reconstruction process has an ill-posed inverse problem. This paper firstly bases on a B-spline curve electrical impedance imaging shape reconstruction model, and secondly obtains the training data of the network by using the EIT forward problem. Finally, image reconstruction is performed using the Auto-Encoder method. The data obtained by simulation and experiment verifies the effectiveness of the method, and the method has good adaptability to the measurement data, the imaging quality of the boundary shape is high, and the imaging efficiency is also improved to a certain extent.
A MM-aided inertial navigation for land vehicle in GNSS-denied environment

The odometer (OD) had been widely employed for the land vehicle navigation with an inertial navigation System (INS) during global Navigation Satellite System (GNSS) outages, but the navigation error of such system still accumulates with the measurements from the odometer. In this paper, we present a Map-Matching (MM)-based approach to enhance the positioning performance of the micro-electro-mechanical systems (MEMS) INS/odometer integrated system during GNSS outages, without additional equipment. More specifically, the MEMS INS and odometer are integrated based on an extended Kalman filtering (EKF), and then the location sampling points are entered into MM module based on trajectory segmentation criterion to predict the position and azimuth on the road network, and finally the error correction is completed through EKF. The main contribution of this study is to point out the essential cause of the position and velocity error drift of INS/OD system through observability analysis, and to suggest a novel hybrid strategy to integrate the MEMS INS, odometer based on both Kalman filtering and Map-Matching, which inhibits divergence through position and azimuth observation provided by map. The proposed navigation strategy is verified via road tests with artificial GNSS outages ,showing that the root mean square of azimuth angle error, horizontal velocity error and horizontal position error of the proposed navigation strategy decrease by 93.2%, 92.6% and 95.5% when the 200s GNSS interruption time is set.
Simulation research on auxiliary power supply system of medium and low speed maglev train

Auxiliary power supply system is an important part of medium and low speed maglev train. It is mainly composed of auxiliary inverter, charger, suspension power supply, several battery packs and several loads. Taking Qingyuan medium and low speed maglev train as an example, the actual topology of its auxiliary power supply system is analyzed, the models of auxiliary inverter, charger and suspension power supply are established in the simulation system, and the internal working principle and working process of the system are studied in detail. The auxiliary inverter adopts three loop control and SVPWM control mode of current and voltage double closed loop, which improves the stability of the auxiliary inverter during load switching. Combined with the charging characteristic curve of battery pack, the constant current and constant voltage charging control strategy is studied, and the control logic of the simulation system is designed according to the actual operation of the auxiliary power supply system. The system level simulation on MATLAB®/Simulink® platform shows that each component can work stably under rated parameters, and meet the design requirements and the working requirements of auxiliary power supply system. Finally, its rationality and stability are analyzed. The robustness of the auxiliary power supply system model is verified by simulation. This research provides a certain theoretical basis for the research of auxiliary power supply system of medium and low-speed maglev train.
Application of lightweight YOLOv4 in vehicle detection

Aiming at the low detection speed caused by the complexity of YOLOv4 target detection algorithm,a lightweight YOLOv4 algorithm is proposed.Firstly,the backbone of YOLOv4 is replaced by the lightweight network MobilenetV3 to reduce the number of network parameters;The 3×3 standard convolution in PANet is replaced by the depthwise separable convolution to reduce computational load;K-means is used to acquire the anchor box.And improved YOLOv4 is tested by using Udacity dataset.According to the result,we can find that under the premise of ensuring the detection accuracy, FPS is increased by 74% and the speed of the improved YOLOv4 is improved.
Longitudinal motion control of autonomous vehicle based on feedforward-fuzzy PI

Longitudinal motion control of unmanned vehicles refers to the accurate speed control by driving or braking system. Due to the nonlinearity and parameter uncertainties of the vehicle system and the desired speed changing in various driving environment, the longitudinal motion control of unmanned vehicles is difficult to realize. To solve the problem, a longitudinal motion controller of autonomous vehicle based on feedforward-fuzzy PI is designed in this paper, which is divided into upper controller and lower controller according to the control flow. The upper controller is the proposed feedforward-fuzzy PI controller, including a feedforward controller and a fuzzy PI controller. The lower controller includes a logic switching controller and an inverse longitudinal vehicle model. In order to verify the effectiveness of the proposed controller, Simulink and CarSim are used to build a co-simulation platform. The simulation results show that when the autonomous vehicle desired speed changes, the control accuracy of the proposed controller is higher than that of the traditional controller, and thus the longitudinal motion control of the vehicle can be better realized.
Advances in Detector Instrumentation for PET

During the last 3 decades, PET has become a standard-of-care imaging technique used in the management of cancer and in the characterization of neurologic disorders and cardiovascular disease. It has also emerged as a prominent molecular imaging method to study the basic biologic pathways of disease in rodent models. This review describes the basics of PET detectors, including a detailed description of indirect and direct 511-keV photon detection methods. We will also cover key detector performance parameters and describe detector instrumentation advances during the last decade.
A novel time-domain method for measuring subsynchronous oscillation current

Subsynchronous oscillation (SSO) can severely threaten the safety and stability of power systems. To study the mechanism and reduce the harm of SSO, the measurement of SSO current is of great significance. However, SSO current is comprised of three components with extremely close frequencies, i.e., a power-frequency component, a subsynchronous component, and a supersynchronous component, which makes it difficult to separately measure the components’ accurate values. To address this issue, this paper provides a novel time-domain method for measuring SSO current. The proposed method contains two key parts: 1) a multi-stage transfer circuit (MTC) comprised of two cascaded stages, where the SSO current serves as the input signal; and 2) a smart SSO current measurement algorithm (SMA) to give the accurate values of the above components, depending on the signals output by the stages of the MTC. The SMA takes advantage of the transfer characteristics of the MTC and the symmetry of the sinusoid signal to calculate the component parameters, which successfully separates the components with the close frequencies. Also, the proposed method can be easily implemented. Moreover, simulation tests have been carried out, and the test results verify the effectiveness and accuracy of the proposed method.
Synthesis and Evaluation of New Coumarin Derivatives as Antioxidant, Antimicrobial, and Anti-Inﬂammatory Agents

: New pyranocoumarin and coumarin-sulfonamide derivatives were prepared and evaluated for their antioxidant, antimicrobial, and / or anti-inﬂammatory activities. Coumarin-sulfonamide compounds 8a–d demonstrated signiﬁcant antioxidant activity, while 7c , d , 8c , d , and 9c , d exhibited antimicrobial activity equal to or higher than the standard antimicrobials against at least one tested microorganism. Regarding the anti-inﬂammatory testing, pyranocoumarins 2b , 3a , b and 5c and coumarin-sulfonamide compound 9a showed more potent antiproteinase activity than aspirin in vitro; however, ﬁve compounds were as potent as aspirin. The anti-inﬂammatory activity of the promising compounds was further assessed pharmacologically on formaldehyde-induced rat paw oedema and showed signiﬁcant inhibition of oedema. For in vitro COX-inhibitory activity of coumarin derivatives, pyranocoumarin derivative 5a was the most selective (SI = 152) and coumarin-sulfonamide derivative 8d was most active toward COX-2 isozyme. The most active derivatives met the in silico criteria for orally active drugs; thus, they may serve as promising candidates to develop more potent and highly e ﬃ cient antioxidant, antimicrobial, and / or anti-inﬂammatory agents.
Dawn Orbit Determination Team: Trajectory Modeling and Reconstruction Processes at Vesta

The Dawn spacecraft spent over a year in orbit around Vesta from July 2011 through August 2012. In order to maintain the designated science reference orbits and enable the transfers between those orbits, precise and timely orbit determination was required. Challenges included low-thrust ion propulsion modeling, estimation of relatively unknown Vesta gravity and rotation models, tracking data limitations, incorporation of real-time telemetry into dynamics model updates, and rapid maneuver design cycles during transfers. This paper discusses the dynamics models, filter configuration, and data processing implemented to deliver a rapid orbit determination capability to the Dawn project.
COX : Exposing CUDA Warp-level Functions to CPUs

As CUDA becomes the de facto programming language among data parallel applications such as high-performance computing or machine learning applications, running CUDA on other platforms becomes a compelling option. Although several efforts have attempted to support CUDA on devices other than NVIDIA GPUs, due to extra steps in the translation, the support is always a few years behind CUDA’s latest features. In particular, the new CUDA programming model exposes the warp concept in the programming language, which greatly changes the way the CUDA code should be mapped to CPU programs. In this article, hierarchical collapsing that correctly supports CUDA warp-level functions on CPUs is proposed. To verify hierarchical collapsing , we build a framework, COX , that supports executing CUDA source code on the CPU backend. With hierarchical collapsing , 90% of kernels in CUDA SDK samples can be executed on CPUs, much higher than previous works (68%). We also evaluate the performance with benchmarks for real applications and show that hierarchical collapsing can generate CPU programs with comparable or even higher performance than previous projects in general.
High clonal diversity and spatial genetic admixture in early prostate cancer and surrounding normal tissue

Somatic copy number alterations (SCNAs) are pervasive in advanced human cancers, but their prevalence and spatial distribution in early-stage, localized tumors and their surrounding normal tissues are poorly characterized. Here, we performed multi-region, single-cell DNA sequencing to characterize the SCNA landscape across multiple tumor-rich and normal tissue regions (∼125 mm3 tissue cubes) obtained from prostatectomy performed in two patients with localized prostate cancer. We identified two distinct populations of cells with abnormal karyotypes, one marked by sparse deletions or amplifications (‘pseudo-diploid’ cells) and the second characterized by genome-wide copy number changes reminiscent of ‘monster’ cells previously described in colorectal cancer. Pseudo-diploid cells formed numerous small-sized subclones ranging from highly spatially localized to broadly spread subclones mainly featuring (sub-)chromosomal arm deletions. In contrast, monster cells harbored whole-chromosome gains and losses and were mostly singular events detected throughout the prostate, including normal tissue regions. Targeted deep sequencing of cancer-associated genes revealed a more confined pattern of mutations overlapping with tumor-rich regions, although we also detected mutations in regions deemed normal based on morphological assessment and bulk RNA-seq. Highly localized pseudo-diploid subclones were confined within tumor-rich regions and typically carried deletions involving chromosome (chr) 6 and 13, resulting in simultaneous loss of multiple tumor-suppressor genes, including FOXO1 and FOXO3 encoding two transcription factors belonging to the Forkhead family previously implicated in prostate carcinogenesis. Tumor-rich regions also contained mutations in genes frequently mutated in prostate cancer, including FOXA1, LRP1B, SPOP, and SPTA1. Our study reveals that SCNAs are widespread in both normal and tumor regions across the prostate gland of patients with localized prostate cancer and suggests that a subset of pseudo-diploid cells harboring chromosomal deletions that result in the loss of specific tumor-suppressor genes drive tumorigenesis in the aging prostate.
PD ‑ 1/PD ‑ L1 BLOCKADE IN METASTATIC BLADDER CANCER TREATMENT: WHAT CAN WE DO NOW FOR THE PATIENTS?

The incidence of bladder cancer (BC) is increasing and this malignant tumor is common urological malignancy in human beings. The conventional general treatment to decrease or control the tumor cells are not satisfactory, so the treatment of BC has changed over time to revolve round not only impacted by chemotherapy and surgery, but also impacted by the use of immunotherapy. Tumor immunotherapy is a general term for enhancing the antitumor immune response by mobilizing the host's immune defense mechanism or by giving certain biologically active substances. Blocking checkpoints is durable clinical responses across multiple tumor types, including BC. However, for some special patients, it is fail to control tumor growth by the blockade of PD-1/PD-L1. Now, we perform a literature review about the clinical trials of PD-1/PD-L1 immune checkpoint blockades especially for BC patients, introducing comprehensive assessment about biomarkers and investigators for the aim of precise treatment for those patients and what we can do to improve the effects of immunotherapy for BC.
Two Centrifugal Flotation Techniques for Counting Gastrointestinal Parasite Eggs and Oocysts in Alpaca Faeces

Abstract Introduction The alpaca (Vicugna pacos) is a camelid native to South America, but the species has wide distribution outside its natural habitat and is found in various countries on other continents, Poland being one in Europe. Parasitic infections affect the productivity and health of alpacas. The aim of the study was to estimate the parasite loads in alpacas kept in Poland with the use of two direct centrifugal flotation methods. Material and Methods A total of 248 faecal samples from alpacas from 12 provinces in Poland were examined for parasite eggs and oocysts with a modified Willis method (WM), and 59 samples were examined simultaneously with WM and a modified Stoll method (SM). Results The WM detected eggs of Trichostrongylidae, and the SM oocysts of Eimeria spp. as the respective most prevalent parasite material. The eggs of Nematodirus sp. , Nematodirus battus, Aonchotheca sp. , and Trichuris sp. were detected in lower numbers in both methods. Oocysts of E. macusaniensis and eggs of Moniezia sp. were the rarest in WM, the former also being so in SM; eggs of Moniezia were absent in SM. The prevalence of Eimeria spp. was significantly higher as detected by SM than as detected by WM; however, the prevalence of eggs of Nematodirus spp. and trichostrongyles was significantly higher as detected by WM than as detected by SM. Conclusion WM is more accurate at detecting heavy gastro-intestinal nematode eggs, including those of trichostrongyles and Nematodirus, whereas SM is more accurate at detecting smaller coccidia from the genus Eimeria.
Trafﬁcking of Superinfecting Mycobacterium Organisms into Established Granulomas Occurs in Mammals and Is Independent of the Erp and ESX-1 Mycobacterial Virulence

Although tuberculous granulomas, which are composed of infected macrophages and other immune cells, have long been considered impermeable structures, recent studies have shown that superinfecting Mycobacterium marinum traffic rapidly to established fish and frog granulomas by host-mediated and Mycobacterium-directed mechanisms. The present study shows that superinfecting Mycobacterium tuberculosis and Mycobacterium bovis bacille Calmette-Guérin similarly home to established granulomas in mice. Furthermore, 2 prominent mycobacterial virulence determinants, Erp and ESX-1, do not affect this cellular trafficking. These findings suggest that homing of infected macrophages to sites of infection is a general feature of the pathogenesis of tuberculosis and has important consequences for therapeutic strategies.
Real-Time testing of novel robust digital pitch controller for digital hydraulic pitch system in wind turbine

ABSTRACT This research work draws insight on developing a novel digital hydraulic pitch system for a large-scale wind turbine. Digital hydraulic pitching can be appropriate for wind turbine application due to its high response, high power-to-weight ratio, and robustness. To perform digital pitch control, a machine learning-based robust digital pitch controller was designed and implemented in the developed real-time test setup. The proposed real-time test setup consist of sub-systems such as digital hydraulic system hardware, real-time interface, robust digital pitch controller, and 5 MW benchmark wind turbine model. Real-time testing was conducted on proposed controller using the developed test setup. Robustness test exhibited robust pitch control tracking when subjected to high wind gusts/fluctuations. In this test, the proposed controller reduced the pitch control error (mean absolute) by 68.10% and 51.75% when compared to feed forward and Elman controller, respectively. Subsequently, a power regulation test was performed on the proposed controller under real-time turbulence wind speed. Relative to the feed-forward and Elman controller, the proposed controller regulates power close to the rated value and improved the mean generator power by 3.39%, and 3.72%, respectively. A comparative study conducted with existing controllers (in the literature) demonstrate the superior performance of the proposed controller. This study reports that intelligent digital pitching action of proposed controller generates power close to rated power when compared to existing controllers in the literature.