Randomized study exploring the combination of radiotherapy with two types of acupuncture treatment (ROSETTA): study protocol for a randomized controlled trial.

Adverse effects such as fatigue, pain, erythema, nausea and vomiting are commonly known in patients undergoing irradiation (RT) alone or in combination with chemotherapy (RCHT). Patients suffering from these symptoms are limited in their daily life and their quality of life (QOL) is often reduced. As addressed in several trials, acupuncture can cause amelioration of these specific disorders. Especially for pain symptoms, several groups have shown efficacy of acupuncture. To what extent the difference between traditional acupuncture (verum acupuncture) and false acupuncture (sham acupuncture) is in reducing side effects and improvement of QOL is not clear. ROSETTA is a prospective randomized phase II trial (version 1.0) to examine the efficacy of traditional acupuncture in patients with RT-related side effects. In the experimental (verum) arm (n = 37) an experienced acupuncture-trained person will treat dedicated acupuncture points. In the control (sham) arm (n = 37) sham acupuncture will be performed to provide a blinded comparison of results. This is the first randomized prospective trial to evaluate the effect of traditional acupuncture on RT-related side effects such as fatigue and QOL. ClinicalTrials.gov, NCT02674646 . Registered on 8 December 2015

Compact Q-Learning for Micro-robots

Scaling down robots to miniature size introduces many new challenges including memory and program size limitations, low processor performance and low power autonomy. In this paper we describe the concept and implementation of learning of safe-wandering and light following tasks on the autonomous micro-robots, Alice. We propose a simplified reinforcement learning algorithm based on one step Q-learning that is optimized in speed and memory consumption. This algorithm uses only integer-based sum operators and avoids floating-point and multiplication operators

Compact Q-Learning Optimized for Micro-robots with Processing and Memory Constraints

Scaling down robots to miniature size introduces many new challenges including memory and program size limitations, low processor performance and low power autonomy. In this paper we describe the concept and implementation of learning of a safewandering task with the autonomous micro-robots, Alice. We propose a simplified reinforcement learning algorithm based on one-step Qlearning that is optimized in speed and memory consumption. This algorithm uses only integer-based sum operators and avoids floatingpoint and multiplication operators. Finally, quality of learning is compared to a floating-point based algorithm

Effect of vitamin B12 addition to extenders on some physicochemical parameters of semen in crossbred rams

The aim of this study was to examine the effect of different doses of vitamin B12 on some physicochemical parameters and antioxidtive enzyme activities in crossbreed rams semen during storage at 5°C. Semen samples were collected from eight crossbreed rams, evaluated and pooled at 33°C. Fresh semen was diluted with a Tris-based extender containing 0, 1, 2 and 3 mg/mL vitamin B12 and was cooled at 5°C. In both genetic group, the extender supplemented with vitamin B12 (1, 2 and 3 mg/mL) led to higher motility percentages than control group. While, the addition of 2 mg/mL vitamin B12 into the semen extenders led to higher viability sperm, in comparison to control group. In Ghezel × Baluchi genotype, the percentage of spermatozoa abnormality was reduced with vitamin B12 when compared with control group. Supplementation with vitamin B12 improved significantly sperm membrane integrity in both genotypes. Addition of vitamin B12 did not cause significant differences in the levels of superoxide dismutase (SOD) and glutathione peroxidase (GPx) when compared with the control group in both genotypes. In the current study, the addition of 2 mg/mL of vitamin B12 (as an antioxidant) to extender had higher SOD activities than the other groups in both genetic groups. In conclusion, vitamin B12 supplementation in semen extender benefit the motility and viability of crossbreed ram sperm.Key words: Antioxidant, crossbreed ram, semen parameters, sperm, crossbreed ram

Spatial Characterization of Fraunhofer Diffraction in a Four-Level Light-Matter Coupling System

We explore the spatial features of various orders of Fraunhofer diffraction patterns in a four-level N-type atomic system. The system interacts with a weak probe light, a standing wave (SW) coupling field in the x-direction, and a cylindrical beam of composite optical vortex type. We derive the first-order linear and third-order cross-Kerr nonlinear parts of the probe susceptibility by expanding the probe susceptibility of the system into the second order of the SW beam. This allows us to solve the integral equation of Fraunhofer diffraction, decoding its varying degrees to specific degrees of Bessel functions containing the nonlinear susceptibility. Notably, the nonlinear susceptibility exhibits dependence on the Orbital Angular Momentum (OAM) of the light beam, leading to spatial variations in the Bessel functions and, consequently, in the different orders of Fraunhofer diffraction. Leveraging the manipulation of OAM, we achieve precise control over the spatial mapping of diverse diffraction orders at various locations. Our research sheds new light on the spatial behavior of Fraunhofer diffraction in complex atomic systems. It presents exciting prospects for harnessing the OAM characteristics of light in future optical technologies

The effect of antioxidant supplementation in semen extenders on semen quality and lipid peroxidation of chilled bull spermatozoa

Summary The aim of this study was to determine the effects of the antioxidants superoxide dismutase (SOD), glutathione peroxidase (GPx) and butylated hydroxytoluene (BHT) on microscopic semen parameters and lipid peroxidation following the freeze-thawing of bull semen. Ejaculates were collected from five Holstein bulls and pooled at 37°C. The semen samples were diluted with a CEY extender containing additives including 100 U and 200 U SOD/ml, 50 U or 100 U GPx/ml and an extender containing no antioxidants (control) and stored in liquid nitrogen. The pooled ejaculates were then diluted with CEY or a Tris (hydroxymethyl) aminomethane (TRIS)-based extender (TEY) alone or with added 0.5, 1.0, 2.0 or 4.0 mM BHT, and the routine semen evaluation was conducted. The lowest production of malondialdehyde (MDA) was obtained by addition of 100 U SOD/ml, 0.5 and 1 mM BHT to CEY extender compared with the other groups. Sperm viability and motility was significantly higher when 0.5, 1 mM BHT and 100 U SOD/ml were added in CEY extender. The highest sperm viability was achieved by addition of 50 U GPx/ml to CEY extender. In addition, sperm motility was significantly higher in samples extended in Tris-egg yolk (TEY) with 0.5 mM BHT compared with the control group. The results suggest that CEY extender can be improved with the addition of SOD and BHT

An EPTAS for Scheduling on Unrelated Machines of Few Different Types

In the classical problem of scheduling on unrelated parallel machines, a set of jobs has to be assigned to a set of machines. The jobs have a processing time depending on the machine and the goal is to minimize the makespan, that is the maximum machine load. It is well known that this problem is NP-hard and does not allow polynomial time approximation algorithms with approximation guarantees smaller than $1.5$ unless P$=$NP. We consider the case that there are only a constant number $K$ of machine types. Two machines have the same type if all jobs have the same processing time for them. This variant of the problem is strongly NP-hard already for $K=1$. We present an efficient polynomial time approximation scheme (EPTAS) for the problem, that is, for any $\varepsilon > 0$ an assignment with makespan of length at most $(1+\varepsilon)$ times the optimum can be found in polynomial time in the input length and the exponent is independent of $1/\varepsilon$. In particular we achieve a running time of $2^{\mathcal{O}(K\log(K) \frac{1}{\varepsilon}\log^4 \frac{1}{\varepsilon})}+\mathrm{poly}(|I|)$, where $|I|$ denotes the input length. Furthermore, we study three other problem variants and present an EPTAS for each of them: The Santa Claus problem, where the minimum machine load has to be maximized; the case of scheduling on unrelated parallel machines with a constant number of uniform types, where machines of the same type behave like uniformly related machines; and the multidimensional vector scheduling variant of the problem where both the dimension and the number of machine types are constant. For the Santa Claus problem we achieve the same running time. The results are achieved, using mixed integer linear programming and rounding techniques

Constrained Non-Monotone Submodular Maximization: Offline and Secretary Algorithms

Constrained submodular maximization problems have long been studied, with near-optimal results known under a variety of constraints when the submodular function is monotone. The case of non-monotone submodular maximization is less understood: the first approximation algorithms even for the unconstrainted setting were given by Feige et al. (FOCS '07). More recently, Lee et al. (STOC '09, APPROX '09) show how to approximately maximize non-monotone submodular functions when the constraints are given by the intersection of p matroid constraints; their algorithm is based on local-search procedures that consider p-swaps, and hence the running time may be n^Omega(p), implying their algorithm is polynomial-time only for constantly many matroids. In this paper, we give algorithms that work for p-independence systems (which generalize constraints given by the intersection of p matroids), where the running time is poly(n,p). Our algorithm essentially reduces the non-monotone maximization problem to multiple runs of the greedy algorithm previously used in the monotone case. Our idea of using existing algorithms for monotone functions to solve the non-monotone case also works for maximizing a submodular function with respect to a knapsack constraint: we get a simple greedy-based constant-factor approximation for this problem. With these simpler algorithms, we are able to adapt our approach to constrained non-monotone submodular maximization to the (online) secretary setting, where elements arrive one at a time in random order, and the algorithm must make irrevocable decisions about whether or not to select each element as it arrives. We give constant approximations in this secretary setting when the algorithm is constrained subject to a uniform matroid or a partition matroid, and give an O(log k) approximation when it is constrained by a general matroid of rank k.Comment: In the Proceedings of WINE 201

Bifacial Si heterojunction-perovskite organic-inorganic tandem to produce highly efficient (η T * ~ 33%) solar cell

As single junction photovoltaic (PV) technologies both Si heterojunction (HIT) and perovskite based solar cells promise high efficiencies at low cost. Intuitively a traditional tandem cell design with these cells connected in series is expected to improve the efficiency further. Using a self-consistent numerical modeling of optical and transport characteristics however we find that a traditional series connected tandem design suffers from low JSC due to band-gap mismatch and current matching constraints. Specifically a traditional tandem cell with state-of-the-art HIT ( η=24% ) and perovskite ( η=20% ) sub-cells provides only a modest tandem efficiency of ηT~ 25%. Instead we demonstrate that a bifacial HIT/perovskite tandem design decouples the optoelectronic constraints and provides an innovative path for extraordinary efficiencies. In the bifacial configuration the same state-of-the-art sub-cells achieve a normalized output of η∗T  = 33% exceeding the bifacial HIT performance at practical albedo reflections. Unlike the traditional design this bifacial design is relatively insensitive to perovskite thickness variations which may translate to simpler manufacture and higher yield

Protective Effect of Diospyros kaki

Ischemic cerebrovascular disease is one of the most common causes of death in the world. Recent interests have been focused on natural antioxidants and anti-inflammatory agents as potentially useful neuroprotective agents. Diospyros kaki (persimmon) has been shown to exert anti-inflammatory, antioxidant, and antineoplastic effects. However, its effects on ischemic damage have not been evaluated. Here, we used an in vitro model of cerebral ischemia and studied the effects of hydroalcoholic extract of peel (PeHE) and fruit pulp (PuHE) of persimmon on cell viability and markers of oxidative damage mainly intracellular reactive oxygen species (ROS) induced by glucose-oxygen-serum deprivation (GOSD) in PC12 cells. GOSD for 6 h produced significant cell death which was accompanied by increased levels of ROS. Pretreatment with different concentrations of PeHE and PuHE (0–500 μg/mL) for 2 and 24 h markedly restored these changes only at high concentrations. However, no significant differences were seen in the protection against ischemic insult between different extracts and the time of exposure. The experimental results suggest that persimmon protects the PC12 cells from GOSD-induced injury via antioxidant mechanisms. Our findings might raise the possibility of potential therapeutic application of persimmon for managing cerebral ischemic and other neurodegenerative disorders