Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards quantitative evaluation of stochastic pharmacy workflows

European hospitals are being placed under growing pressure to deliver efficiency gains due to an increasing elderly population and ever tighter financial constraints. A significant proportion of the treatment performed relies on the adaptive application of various intravenous medicine which is mostly in liquid form and which is prepared in central pharmacies serving a number of departments. Due to strict safety requirements within pharmacies, the process of preparation of fluid medicine for intravenous use is; labour intensive, inefficient[3], error-prone[1, 6] and poses health risks to medical staff. Current product preparation workflows rely on production techniques largely abandoned by other industries; including duplicating inventory, inflexible batch processing, and over production where doses are often prepared in anticipation of a need or demand that may end up not being realised which contributes to waste[7]. A solution to these issues has been sought in the automation of the medication management and dispensing processes. Deployment of systems for this purpose has delivered significant improvements in safety for both staff and patients[2, 10], and new pharmacy capabilities such as customised medicine have become feasible[2]. However, the technology has proven disruptive to traditional pharmacy processes and many potential efficiency gains have yet to be realised.
Linear and Nonlinear Adaptive Attitude Control of Asteroid-Orbiting Spacecraft Using State Feedback and Output Feedback

LINEAR AND NONLINEAR ADAPTIVE ATTITUDE CONTROL OF ASTEROID-ORBITING SPACECRAFT USING STATE FEEDBACK AND OUTPUT FEEDBACK by Nicholas Moya Dr. Sahjendra Singh, Advisory Committee Chair Professor of Electrical and Computer Engineering University of Nevada, Las Vegas This thesis presents the derivation of both a linear and nonlinear adaptive control law for the attitude states of a spacecraft in orbit around rotating asteroids. The asteroid is assumed to be irregularly shaped and in an elliptical orbit around the sun. The linearized, timevarying spacecraft model will assume to include unknown parameters and will have external disturbances present. The objective is to control the roll, pitch, and yaw angle trajectories of the spacecraft such that they track desired reference trajectories. To achieve this, the control law will be composed of (1) a feedback controller, sufficiently robust to disturbance such that the system is stable, and (2) an adaptation law to estimate unknown parameters. The design of the linear control law will assume that only the angle measurements of the attitude states will be available for feedback. A high-gain observer will then be designed to estimate the higher-order states necessary to synthesis the control law. It will be shown iii that the tracking error, as well as the observation error, approach zero in finite time within the closed-loop system. The controller is able to accomplish this while being bounded to a saturation limit to reflect genuine thruster constraints. When the nonlinear, time-varying model is considered, unknown parameters are again assumed to be present. To govern the nonlinearities, and uncertainties present in the model, an adaptive control law is designed using the backstepping method. The control law also incorporates an adaption law, derived from an appropriate Lyapunov function. Using state feedback, it can be seen that the tracking error approaches zero while managing the nonlinearities of the model. For the both the linear and nonlinear systems, simulation results present full attitude control of the spacecraft, despite unknown parameters within the model.
Contributions aux méthodes de Monte Carlo et leur application au filtrage statistique

Cette these s’interesse au probleme de l’inference bayesienne dans les modeles probabilistes dynamiques. Plus precisement nous nous focalisons sur les methodes de Monte Carlo pour l’integration. Nous revisitons tout d’abord le mecanisme d’echantillonnage d’importance avec reechantillonnage, puis son extension au cadre dynamique connue sous le nom de filtrage particulaire, pour enfin conclure nos travaux par une application a la poursuite multi-cibles.En premier lieu nous partons du probleme de l’estimation d’un moment suivant une loi de probabilite, connue a une constante pres, par une methode de Monte Carlo. Tout d’abord,nous proposons un nouvel estimateur apparente a l’estimateur d’echantillonnage d’importance normalise mais utilisant deux lois de proposition differentes au lieu d’une seule. Ensuite,nous revisitons le mecanisme d’echantillonnage d’importance avec reechantillonnage dans son ensemble afin de produire des tirages Monte Carlo independants, contrairement au mecanisme usuel, et nous construisons ainsi deux nouveaux estimateurs.Dans un second temps nous nous interessons a l’aspect dynamique lie au probleme d’inference bayesienne sequentielle. Nous adaptons alors dans ce contexte notre nouvelle technique de reechantillonnage independant developpee precedemment dans un cadre statique.Ceci produit le mecanisme de filtrage particulaire avec reechantillonnage independant, que nous interpretons comme cas particulier de filtrage particulaire auxiliaire. En raison du cout supplementaire en tirages requis par cette technique, nous proposons ensuite une procedure de reechantillonnage semi-independant permettant de le controler.En dernier lieu, nous considerons une application de poursuite multi-cibles dans un reseau de capteurs utilisant un nouveau modele bayesien, et analysons empiriquement les resultats donnes dans cette application par notre nouvel algorithme de filtrage particulaire ainsi qu’un algorithme de Monte Carlo par Chaines de Markov sequentiel
Optimal Power Allocations of Different Modulations for Multi Channel Cognitive Radio Systems Using Stackelberg Game

A non-orthogonal multiple access scheme e.g. CDMA based cellular multi-channel cognitive radio network (CRN) is applied in our scheme. Here multiple secondary users share a common set of channels simultaneously. For such an environment, we develop a distributed power allocation approach based on a game theoretic formulation among secondary users to satisfy their rate requirement. We model the problem using a two-stage leader-follower game known as Stackelberg game where base station and users are considered as leader and followers respectively. Since the spectrum is licensed to a primary network, base stations of the cellular secondary network should protect primary users against interference caused by secondary communications. We are interested for downlink power allocation with pricing that maximizes utilities of both BS and CRs in presence of primary network. A nonlinear relationship between bit rate and SINR which is solved by game theory. Simulation results show that our proposed power control scheme provides higher SINR levels (or equivalently higher data rates) while consuming lower average transmit power of secondary users. We illustrate that the solution from the distributed formulation conforms the centralized solution. We also compare the above results for different spectrum usage of QAM, ASK and PSK modulation schemes. Moderate spectrum usages give better result.
A description of 103-107Pd Isotopes in the Interacting BosonFermion Model

Energy levels and B(E2) transitions for palladium isotopes with proton number Z=46 and neutron numbers (n) between 57 and 67 have been calculated through the interacting boson-fermion model. The set of parameters used in this calculation is the best approximation that has been carried out so far. Good agreement was found from comparison between the calculated energy levels and the transition probabilities B(E2) with those of experimental.
Mean ergodic type theorems

Let $T$ be a bounded linear operator on a Banach space $X$. Replacing the Ces\`{a}ro matrix by a regular matrix $A=(a_{nj})$ Cohen studied a mean ergodic theorem. In the present paper we extend his result by taking a sequence of infinite matrices $\mathcal{A}=(A^{(i)})$ that contains both convergence and almost convergence. This result also yields an $\mathcal{A}$-ergodic decomposition. When $T$ is power bounded we give a characterization for $T$ to be $\mathcal{A}$-ergodic.
Soft dorsal/anal fins pairs for roll and yaw motion in robotic fish

Fish has primarily served as a model for many bio-inspired underwater robots. However, most of the work on fish-inspired robots is focused on propulsion and turning in the horizontal plane. In this paper, we present our work on the 3D motion of bio-inspired underwater robots. A pair of actuated soft fins, mimicking the soft dorsal and anal fins of a live fish, have been designed and tested to generate lateral thrusts that aim to produce both roll and yaw motions. Furthermore, they can be used to provide vertical stabilization of the forward motion in the robot. These fins comprise shape memory alloy wires embedded in silicone. We demonstrate that these fins can provide a means for 3D maneuvering. In this work, we focus on roll and yaw motions. A key feature of the proposed design is that it is lightweight, compact, and waterproof.
GRAND: A Giant Radio Array for Neutrino Detection

The detection of ultra-high-energy (UHE) neutrinos, with energy in excess of 0.1 EeV, is an important key to solving the mystery of the origin of UHE cosmic rays. The detection of UHE cosmogenic neutrinos will confirm the photo-dissociation of UHE cosmic rays and the identification of the sources of UHE neutrinos will help to identify the sources of UHE cosmic rays. The flux of these UHE neutrinos is expected to be low and their detection is a challenge. We present the Giant Radio Array for Neutrino Detection, GRAND, that is based on proven methods of radio frequency detection of extensive air-showers, which will allow for a huge exposure at a relatively modest price. On top of discovering UHE neutrinos, GRAND will be able to investigate many other science topics, including neutrino physics, UHE gamma-ray detection, UHE cosmic ray science with very large statistics, the detection of fast radio bursts and giant radio pulses, and a measurement of the epoch of re-ionisation. The R&D and different initial phases of development of GRAND, and the physics reach for these research topics will be discussed.
Impact of Ground-Based Remote Sensing Boundary Layer Observations on Short-Term Probabilistic Forecasts of a Tornadic Supercell Event

Due to lack of high spatial and temporal resolution boundary layer (BL) observations, the rapid changes in the near-storm environment are not well represented in current convective-scale numerical models. Better representation of the near-storm environment in model initial conditions will likely further improve the forecasts of severe convective weather. This study investigates the impact of assimilating high temporal resolution BL retrievals from two ground-based remote sensing instruments for short-term forecasts of a tornadic supercell event on 13 July 2015 during the Plains Elevated Convection At Night field campaign. The instruments are the Atmospheric Emitted Radiance Interferometer (AERI) that retrieves thermodynamic profiles and the Doppler lidar (DL) that measures horizontal wind profiles. Six sets of convective-scale ensemble data assimilation (DA) experiments are performed: two control experiments that assimilate conventional and WSR-88D radar observations using either relaxation-to-prior-spread (RTPS) or the adaptive inflation (AI) technique and four experiments similar to the control but that assimilate either DL or AERI or both observations in addition to all other observations that are in the control experiments. Results indicate a positive impact of AERI and DL observations in forecasting convective initiation (CI) and early evolution of the supercell storm. The experiment that employs the AI technique to assimilate BL observations in DA enhances the humidity in the near-storm environment and low-level convergence, which in turn helps forecasting CI. The forecast improvement is most pronounced during the first ~3 h. Results also indicate that the AERI observations have a larger impact compared to DL in predicting CI.
Entropy, Fluctuations, and Disordered Proteins

Entropy should directly reflect the extent of disorder in proteins. By clustering structurally related proteins and studying the multiple-sequence-alignment of the sequences of these clusters, we were able to link between sequence, structure, and disorder information. We introduced several parameters as measures of fluctuations at a given MSA site and used these as representative of the sequence and structure entropy at that site. In general, we found a tendency for negative correlations between disorder and structure, and significant positive correlations between disorder and the fluctuations in the system. We also found evidence for residue-type conservation for those residues proximate to potentially disordered sites. Mutation at the disorder site itself appear to be allowed. In addition, we found positive correlation for disorder and accessible surface area, validating that disordered residues occur in exposed regions of proteins. Finally, we also found that fluctuations in the dihedral angles at the original mutated residue and disorder are positively correlated while dihedral angle fluctuations in spatially proximal residues are negatively correlated with disorder. Our results seem to indicate permissible variability in the disordered site, but greater rigidity in the parts of the protein with which the disordered site interacts. This is another indication that disordered residues are involved in protein function.
Revisiting the Dynamics of Eyewall Contraction of Tropical Cyclones

The dynamics of eyewall contraction of tropical cyclones (TCs) has been revisited in this study based on both three-dimensional and axisymmetric simulations and dynamical diagnostics. Because eyewall contraction is closely related to the contraction of the radius of maximum wind (RMW), its dynamics is thus often studied by examining the RMW tendency in previous studies. Recently, Kieu and Stern et al. proposed two different frameworks to diagnose the RMW tendency but had different conclusions. In this study, the two frameworks are evaluated first based on theoretical analysis and idealized numerical simulations. It is shown that the framework of Kieu is a special case of the earlier framework of Willoughby et al. if the directional derivative is applied. An extension of Stern et al.’s approach not only can reproduce but also can predict the RMW tendency. A budget of the azimuthal-mean tangential wind tendency indicates that the contributions by radial and vertical advections to the RMW tendency vary with height. Namely, radial advection dominates the RMW contraction in the lower boundary layer, and vertical advection favors the RMW contraction in the upper boundary layer and lower troposphere. In addition to the curvature, the increase of the radial gradient of horizontal mixing (including the resolved eddy mixing in three dimensions) near the eyewall prohibits eyewall contraction in the lower boundary layer. Besides, the vertical mixing including surface friction also plays an important role in the cessation of eyewall contraction in the lower boundary layer.
Lutte contre Glossina palpalis gambiensis dans la région des Niayes du Sénégal

Au cours de ces trois dernieres annees, des operations de lutte contre les glossines (Glossina palpalis gambiensis) ont ete entreprises dans la region dite des Niayes du Senegal pour la rendre plus propice a l'elevage et eradiquer des foyers de maladie du sommeil. Il a ete utilise a cet effet de la Dieldrine a 2 p. 100 pulverisee sur la vegetation a des hauteurs comprises entre 0,50 m et 1,50 m. En tout 151,6 km de galeries ont ete pulverises ainsi que 251 ha de plantations diverses. Les prospections les plus recentes montrent que la region est actuellement indemne de glossines. La presente note est accompagnee de cartes topographiques indiquant les gites assainis. (Resume d'auteur)
Changes of humid index and borderline of wet and dry climate zone in northern China over the past 40 years

In this paper mean locations of borderline for wet and dry climate zone in northern China over the past 40 years from 1961 to 2000 and their decadal changes were studied. Over 40 years in northern China, boundary line of semiarid and subhumid zones where W (humid index) is 0.5 moved gradually toward the east.In the eastern part east of 100E, especially in the 1990s it moved toward the east and the south compared with that in the 1960s,which resulted in the enlargement of semiarid area and the shrinkege of subhumid area,and the climate tended to become dried;and in the western part west of 100E,the extremely dry area was dwindled and the climate tended to become wetted evidently.By combining the temperature with W we can call the eastern part east of 100E where the North China Plain and the Loess Plateau are located a sustaining dry and warm type; the northwestern part west of 100E can be called transitional zone from dry and-warm type into humid and warm one, of them the Hexi corridor and East Xinjiang Basin started to change in the early 1970s while the mountain region, oasis, and desert in northern Xinjiang started to change around the mid 1980s.The deterring factor for changes of borderline in the wet and dry climate zone is the variation rate of precipitation vs. potential evaporation. Over the past 40 years both precipitation and potential evaporation tended to decrease in the eastern part east of 100E,but the decreasing rate of precipitation is higher than that of potential evaporation. We think that the cause for wetting in the western part of 100E was that the potential evaporation has been decreasing with the increase of precipitation, moreover the absolute value for decreasing rate of potential evaporation is higher than that of increasing rate of precipitation.
An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds

As an external assistance for online shopping, multimedia content (feed) plays an important role in e-Commerce eld. Feeds in formats of post, item list and video bring in richer auxiliary information and more authentic assessments of commodities (items). In Alibaba, the largest Chinese online retailer, besides traditional item search engine (ISE), a content search engine (CSE) is utilized for feeds recommendation as well. However, the diversity of feed types raises a challenge for the CSE to rank heterogeneous feeds. In this paper, a two-step end-to-end model including Heterogeneous Type Sorting and Homogeneous Feed Ranking is proposed to address this problem. In the first step, an independent Multi-Armed bandit (iMAB) model is proposed first, and an improved personalized Markov Deep Neural Network (pMDNN) model is developed later on. In the second step, an existing Deep Structured Semantic Model (DSSM) is utilized for homogeneous feed ranking. A/B test on Alibaba product environment shows that, by considering user preference and feed type dependency, pMDNN model significantly outperforms than iMAB model to solve heterogeneous feed ranking problem.
D2D Big Data Privacy-Preserving Framework Based on (a, k)-Anonymity Model

As a novel and promising technology for 5G networks, device-to-device (D2D) communication has garnered a significant amount of research interest because of the advantages of rapid sharing and high accuracy on deliveries as well as its variety of applications and services. Big data technology offers unprecedented opportunities and poses a daunting challenge to D2D communication and sharing, where the data often contain private information concerning users or organizations and thus are at risk of being leaked. Privacy preservation is necessary for D2D services but has not been extensively studied. In this paper, we propose an (a, k)-anonymity privacy-preserving framework for D2D big data deployed on MapReduce. Firstly, we provide a framework for the D2D big data sharing and analyze the threat model. Then, we propose an (a, k)-anonymity privacy-preserving framework for D2D big data deployed on MapReduce. In our privacy-preserving framework, we adopt (a, k)-anonymity as privacy-preserving model for D2D big data and use the distributed MapReduce to classify and group data for massive datasets. The results of experiments and theoretical analysis show that our privacy-preserving algorithm deployed on MapReduce is effective for D2D big data privacy protection with less information loss and computing time.
The relation between medio-lateral trunk movements and ankle power and work during the push off phase of gait

Joint kinetics measured during level walking demonstrates that the main source of energy occurs around the ankle joint, i.e. a large power burst during push off. This power burst can be divided into two mechanisms; pre-emptive push off and a push off to accelerate the leg into swing. This division is marked by the contralateral initial contact, i.e. the impactful start of weight transfer to that foot. This impact is the main energy absorbing event during gait that will be decreased by a pre-emptive push off. It is hypothesized that the medio-lateral position of the Center of Mass of the body controls the weight shift and thus the division of the ankle power into these two mechanisms. Since the trunk has a rather large mass compared to other body segments, the position of the Center of Mass of the trunk has a large influence on the total body Center of Mass. This led to the hypothesis of this study: the trunk controls the ankle power during gait. To verify this hypothesis eleven healthy subjects participated in this study, where gait kinematics and kinetics were obtained using motion capture and force plates. A lower- and upper-trunk was defined, based on a dedicated marker model. The tasks included normal walking as well as conditions to influence the medio-lateral trunk movements and the ankle power during gait. Differences and relations between the amount of ankle work during push off, the amount of ankle work within the two different mechanisms, maximum ankle power, and medio-lateral trunk angles for the different walking conditions were calculated. The amount of ankle work during push off is significantly – but modestly – related to the maximum amplitude of the lower trunk angle. This suggests that with an increasing trunk angle the amount of ankle work decreases. This relation was not found for the upper trunk angle or the Center of Mass of the entire upper body. The maximum ankle power during push off also has a small but significant relation with medio-lateral trunk movements. It can be concluded that with increasing medio-lateral trunk movements the amount of ankle power and work is slightly decreased. The division of the ankle work during push off into two parts is not significantly related to any increase in medio-lateral trunk movements. In the end, these results cannot point to a strong relation between ankle power or work and medio-lateral trunk movements. However, this is an exploratory study and to draw definite conclusions about this relation more extensive research is needed. It might also be interesting to investigate the possibilities of using increased medio-lateral trunk movements to relieve the ankle joint during walking.