nils-herrmann/clean_scirepeval huggingface dataset:
PlaNet Photo Geolocation with Convolutional Neural Networks
Venue: ECCV

Is it possible to determine the location of a photo from just its pixels? While the general problem seems exceptionally difficult, photos often contain cues such as landmarks, weather patterns, vegetation, road markings, or architectural details, which in combination allow to infer where the photo was taken. Previously, this problem has been approached using image retrieval methods. In contrast, we pose the problem as one of classification by subdividing the surface of the earth into thousands of multi scale geographic cells, and train a deep network using millions of geotagged images. We show that the resulting model, called PlaNet, outperforms previous approaches and even attains superhuman accuracy in some cases. Moreover, we extend our model to photo albums by combining it with a long short term memory (LSTM) architecture. By learning to exploit temporal coherence to geolocate uncertain photos, this model achieves a 50 performance improvement over the single image model.
Chemogenetic activation of dopamine neurons in the ventral tegmental area, but not substantia nigra, induces hyperactivity in rats
Venue: European Neuropsychopharmacology

Hyperactivity is a core symptom in various psychiatric disorders, including attention deficit/hyperactivity disorder, schizophrenia, bipolar disorders, and anorexia nervosa. Although hyperactivity has been linked to dopaminergic signalling, the causal relationship between midbrain dopamine neuronal activity and locomotor hyperactivity remains unknown. In this study, we test whether increased dopamine neuronal activity is sufficient to induce locomotor hyperactivity. To do so, we used designer receptors exclusively activated by designer drugs (DREADD) to chemogenetically enhance neuronal activity in two main midbrain dopamine neuron populations, i.e. the ventral tegmental area (VTA) and substantia nigra pars compacta (SN) in TH:Cre rats. We found that activation of VTA dopamine neurons induced a pronounced and long lasting hyperactive phenotype, whilst SN dopamine neuron activation only modestly increased home cage locomotion. Furthermore, this hyperactive phenotype was replicated by selective activation of the neuronal pathway from VTA to the nucleus accumbens (NAC) These results show a clear functional difference between neuronal subpopulations in the VTA and SN with regards to inducing locomotor hyperactivity, and suggest that the dopaminergic pathway from VTA to NAC may be a promising target for the treatment of hyperactivity disorders.
Gebelik ve HIV enfeksiyonu

Human Immunodeficiency Virus (HIV) enfeksiyonunun yonetimi hizli sekilde degisim gostermeye devam etmektedir. Gelismis ulkelerdeki perinatal gecis oranlari, antiretroviral tedavi (ART) ve sezaryen dogumun planlanmasiyla %20 30'lardan, %1 2'lere kadar dusurulmustur. Perinatal gecisin azaltilmasi icin yapilan girisimler HIV ile enfekte kadinlar icin uygulanan prenatal bakimi daha kompleks hale getirmistir. Standart bakimin cok hizli degismesi ve HIV enfeksiyonu yayginliginin giderek artmasi nedeniyle gebe takibi yapan klinisyenlerin bu konudaki guncel bilgilere sahip olmasi onemlidir. Bu nedenle makalemizde, HIV enfeksiyonunun prenatal donemdeki seyri, tedavisi ve perinatal gecisin onlenmesi icin alinacak tedbirleri ozetlemeyi amacladik.
Gebelik ve Toksoplazma Enfeksiyonu

Toksoplazma gondii isimli bir protozoanin sebep oldugu toksoplazmozis enfeksiyonu gebelikte fetal anomalilere ve dusuk olu dogum gibi olumsuz perinatal sonuclara yol acabildigi icin oldukca onemlidir. Ozellikle cig et, kontamine yiyeceklerle bulasan bu enfeksiyonun prenatal donemde uygun zamanda, dogru tani ve yonetimi ile ciddi norolojik sekel riski azaltilabilmektedir. Dolayisiyla gebe takibi yapan klinisyenlerin bu enfeksiyonu derinlemesine bilmesi onem arz etmektedir. Bu amacla makalemizde, toksoplazma enfeksiyonun prenatal donemde tanisi, komplikasyonlari ve tedavisini ozetlemeyi amacladik.
Utilizing Health Care Resources Wisely: Understanding the Efficacy of Our Interventions: Commentary on an article by Nattapol Tammachote, MD, MSc, et al. "Intra Articular, Single Shot Hylan G F 20 Hyaluronic Acid Injection Compared with Corticosteroid in Knee Osteoarthritis. A Double Blind, Randomi
Venue: The Journal of bone and joint surgery. American volume

Health care costs in the United States continue to grow, unabated, despite a variety of strategies to control costs. Sadly, despite the largest per capita expenditure on health care among the member states of the Organisation of Economic Co operation and Development (OECD) the United States lags far behind many other members of the OECD in quality and outcome measurements1. Caring for individuals with musculoskeletal conditions contributes to a substantial portion of our health care expenses. A recent assessment of direct and indirect costs of musculoskeletal care estimated an annual cost of $213 billion and 5.73% of our gross domestic product, with an overall combined societal cost of $874 billion2. Our aging population, orthopaedic innovation, and discovery all contribute to these costs. Many of these innovations have led to dramatic improvement in the orthopaedic surgeon's ability to deliver successful musculoskeletal care and an actual savings of health care and societal costs. Appropriate utilization of new technology lowers overall costs by allowing our patients to continue to work and remain active and to prevent the development of comorbid conditions associated with inactivity. Unfortunately, some of our new discoveries, which were rapidly embraced and introduced into our armamentarium of patient care, were more expensive, but no more effective, than a prior treatment. If we as orthopaedic surgeons aspire to remain leaders in musculoskeletal health care innovation and to have the necessary resources to care for our patients, we need to play a leading role in controlling costs. Identifying the clinical indications for
From normal response to clinical problem: definition and clinical features of fear of cancer recurrence
Venue: Supportive Care in Cancer

PurposeResearch to date on fear of cancer recurrence (FCR) shows that moderate to high FCR affects 22 87 of cancer survivors and is associated with higher psychological morbidity (Simard et al J Cancer Surviv 7:300 322, 2013) Despite growing research interest in FCR, the lack of consensus on its definition and characteristics when it reaches a clinical level has impeded knowledge transfer into patient services.MethodsIn order to address these gaps, expert researchers, policy makers, trainees, and patient advocates attended a 2 day colloquium at the University of Ottawa in August 2015. A Delphi method was used to identify the most relevant definition of FCR, and the attendees generated possible diagnostic characteristics of clinical FCR.ResultsAfter three rounds of discussion and voting, the attendees reached consensus on a new definition of FCR: "Fear, worry, or concern relating to the possibility that cancer will come back or progress." Regarding clinical FCR, five possible characteristics were proposed: (1) high levels of preoccupation, worry, rumination, or intrusive thoughts; (2) maladaptive coping; (3) functional impairments; (4) excessive distress; and (5) difficulties making plans for the future.ConclusionsThe new proposed definition of FCR reflects the broad spectrum in which patients experience FCR. A consensual definition of FCR and the identification of the essential characteristics of clinical FCR are necessary to accurately and consistently measure FCR severity and to develop effective interventions to treat FCR. We hope this broad definition can encourage further research and the development of inclusive policies for all cancer patients and survivors who are struggling with this issue.
A clinical practical approach to the surveillance definition of central line associated bloodstream infection in cancer patients with mucosal barrier injury.
Venue: American journal of infection control

The Centers for Disease Control and Prevention recently introduced the concept of mucosal barrier injury (MBI) in an attempt to recognize the possibility of a gastrointestinal source for certain bloodstream infections. This could underestimate the central venous catheter (CVC) as the source of central line associated bloodstream infection (CLABSI) in cancer. The definition of catheter related bloodstream infection (CRBSI) by the Infectious Diseases Society of America is a more specific and stringent definition that identifies the CVC as the source of infection. In our study, we compared the 2 definitions in cancer patients.  We retrospectively reviewed 149 CLABSI cases that occurred at our center between January 2013 and March 2014 who had 2 simultaneously positive blood cultures drawn from the CVC and peripheral site or concurrent paired tip and blood cultures.  Of the 149 patients with CLABSI, only 70 (47% had definite CRBSI. CRBSI was identified more commonly in non MBI CLABSI cases than MBI CLABSI (69% vs 18% P .0001) CONCLUSIONS The CRBSI definition may be more accurate in identifying the catheter as the source of bloodstream infection in patients with MBI. Because CRBSI continues to occur in patients with MBI, we caution against excluding all MBI patients from CLABSI surveillance.
A Tetra Primer Amplification Refractory System Technique for the Cost Effective and Novel Genotyping of Eight Single Nucleotide Polymorphisms of the Catechol O Methyltransferase Gene.
Venue: Genetic testing and molecular biomarkers

Catechol O methyltransferase (COMT) is an enzyme involved in the degradation of catecholamine neurotransmitters. Due to its role in neurotransmitter flux, multiple COMT variants have been associated with the development of psychiatric disorders. Notably, select single nucleotide polymorphisms (SNPs) of the COMT gene have been implicated in schizophrenia risk, severity, and treatment response. In recognition of the value of a streamlined genotyping method for COMT SNP detection, this study was designed to develop a simple and economical tetra primer amplification refractory mutation system (T ARMS) assay for the concurrent detection of eight COMT SNPs: rs4680, rs737865, rs165599, rs2075507, rs4633, rs4818, rs6269, and rs165774.  T ARMS is a genotyping method that uses polymerase chain reaction (PCR) to amplify a multiplex reaction consisting of two primer pairs. T ARMS primers are customized to each SNP and designed to generate different sized allele specific amplicons. This assay was applied to a total of 39 genomic DNA samples. Genotypic designations across the panel of SNPs were subsequently validated by Sanger sequencing.  T ARMS reliably and unambiguously detected all three genotypes (homozygous wild type, heterozygous, and homozygous mutant) for each of the eight COMT SNPs.  Compared to traditional low throughput methods that require post PCR modification or high throughput technologies that require sophisticated equipment, T ARMS is a cost effective and efficient assay that can be easily adapted by any standard molecular diagnostics laboratory. This T ARMS assay provides a practical and robust method for COMT SNP detection.
Development of deft amplification refractory mutation sequencing system (ARMSS) for discriminating Pilos antler based on a short cytochrome b (Cytb) gene
Venue: Mitochondrial DNA. Part A, DNA mapping, sequencing, and analysis

Pilos antler (Lu Rong in Chinese) is a famous traditional medicine in China. Many adulterants have been discovered in Chinese markets in recent years. However, few DNA based methods are effective for discrimination of this DNA degraded animal medicine. Here, novel and deft amplification refractory mutation sequencing system (ARMSS) integrating the advantages of the amplification refractory mutation system (ARMS) and the short DNA barcode, was first developed to discriminate Pilos antler from its adulterants. We aimed to provide a new sight and inspiration for deft detection. The results showed that developed ARMS achieved strong specificity and high sensitivity in rapid identification, while the short Cytb gene was of excellent identification power in terms of accurate identification, which suggested that ARMSS successfully integrated the advantages of the ARMS and short DNA barcode, and that it was useful for deft detection. Our study determined that the deft ARMSS could be the well candidate for discrimination of Pilos antler, as well as be a valuable tool for deft identification of Chinese medicine.
Index modulation techniques for 5G wireless networks
Venue: IEEE Communications Magazine

The ambitious goals set for 5G wireless networks, which are expected to be introduced around 2020, require dramatic changes in the design of different layers for next generation communications systems. Massive MIMO systems, filter bank multi carrier modulation, relaying technologies, and millimeter wave communications have been considered as some of the strong candidates for the physical layer design of 5G networks. In this article, we shed light on the potential and implementation of IM techniques for MIMO and multi carrier communications systems, which are expected to be two of the key technologies for 5G systems. Specifically, we focus on two promising applications of IM: spatial modulation and orthogonal frequency division multiplexing with IM, and discuss the recent advances and future research directions in IM technologies toward spectrum and energy efficient 5G wireless networks.
Development of dynamic model of a 7DOF hydraulically actuated tele operated robot for decommissioning applications
Venue: 2016 American Control Conference (ACC)

In this paper the problem of system integration and dynamic modeling of a hydraulically actuated manipulator with seven degrees of freedom, i.e. HydroLek HLK 7W is investigated. The arm is fitted on Multi Arm mobile Robot System for Nuclear Decommissioning (MARS ND) applications purposes. This is a step forward with respect to the previous works where only kinematics of the robot was taking into account. As the decommissioning robot has to perform precise and complex tasks autonomously using effective model based nonlinear control algorithms having an accurate dynamic model of the arm which is reliable enough to predict the behavior of the manipulator under different operating conditions would be crucial. To this end the symbolic, and numerical model of the dynamic of robot is developed and a first attempt for model validation and tuning the parameters of the model is taken forward.
Globalization and the markups of European firms

We use a unique cross section survey of manufacturing firms from four European countries (France, Germany, Italy, Spain) linked with balance sheet data to study the relationship between key aspects of globalization and firm level markups. The main results are: (i) Exporting is positively correlated with markups; (ii) Importing intermediate inputs and outsourcing are also positively correlated with markups; (iii) Firms with affiliates have higher markups than other firms, while simply membership in a group or being foreign owned seems to be less important; (iv) Perceived competition from low cost markets is negatively correlated with markups; (v) Higher quality production and innovation, especially if it results in IP, has a strong positive relationship with markups; (vi) While these variables are correlated, they are significant in a joint model including all four groups, and 'fully globalized' firms tend to charge around 100% higher markups than non globalized firms.
Transverse single shot cross correlation scheme for laser pulse temporal measurement via planar second harmonic generation.
Venue: Optics express

We present a novel single shot cross correlation technique based on the analysis of the transversally emitted second harmonic generation in crystals with random distribution and size of anti parallel nonlinear domains. We implement it to the measurement of ultrashort laser pulses with unknown temporal duration and shape. We optimize the error of the pulse measurement by controlling the incident angle and beam width. As novelty and unlike the other well known cross correlation schemes, this technique can be implemented for the temporal characterization of pulses over a very wide dynamic range (30 fs 1ps) and wavelengths (800 2200 nm) using the same crystal and without critical angular or temperature alignment.
A modified ratio cum product estimator of finite population mean using ranked set sampling

This paper proposed a modified ratio cum product estimator of finite population mean using information on coefficient of variation and coefficient of kurtosis of auxiliary variable in ranked set sampling. It has been shown that this method is highly beneficial to the estimation based on simple random sampling (SRS) The bias and mean squared error of the proposed estimators with large sample approximation are derived. Theoretically, it is shown that the suggested estimators are more efficient than the estimators in SRS. In addition, we support this theoretical result with the numerical illustration.
Estimation of a Finite Population Mean and Total Using Population Ranks of Sample Units

This paper introduces new estimators for population total and mean in a finite population setting, where ranks (or approximate ranks) of population units are available before selecting sample units. The proposed estimators require selecting a simple random sample and identifying the population ranks of sample units. Selection of the sample can be performed with or without replacement. The population ranks of the selected units of with replacement samples are determined among all population units. On the other hand, the ranks of the sample units of without replacement samples are identified in two different ways: (1) The rank of a sample unit is determined sequentially among the remaining population units after excluding all previously ranked sample units from the population; (2) The ranks are determined among all units in the population. By conditioning on these population ranks, we construct a set of weighted estimators, develop a bootstrap re sampling procedure to estimate the variances of the estimators, and construct percentile confidence intervals for the population mean and total. We show that the new estimators provide a substantial amount of efficiency gain over their competitors. We apply the proposed estimators to estimate corn production in one of the counties in Ohio.
Majorana Zero Mode Detected with Spin Selective Andreev Reflection in the Vortex of a Topological Superconductor.
Venue: Physical review letters

Recently, theory has predicted a Majorana zero mode (MZM) to induce spin selective Andreev reflection (SSAR) a novel magnetic property which can be used to detect the MZM. Here, spin polarized scanning tunneling microscopy or spectroscopy has been applied to probe SSAR of MZMs in a topological superconductor of the Bi_{2}Te_{3}/NbSe_{2} heterostructure. The zero bias peak of the tunneling differential conductance at the vortex center is observed substantially higher when the tip polarization and the external magnetic field are parallel rather than antiparallel to each other. This spin dependent tunneling effect provides direct evidence of MZM and reveals its magnetic property in addition to the zero energy modes. Our work will stimulate MZM research on these novel physical properties and, hence, is a step towards experimental study of their statistics and application in quantum computing.
A Bayesian Based Neural Network Model for Solar Photovoltaic Power Forecasting
Venue: Advances in Neural Networks

Solar photovoltaic power (PV) generation has increased constantly in several countries in the last ten years becoming an important component of a sustainable solution of the energy problem. In this paper, a methodology to 24 h or 48 h photovoltaic power forecasting based on a Neural Network, trained in a Bayesian framework, is proposed. More specifically, a multi ahead prediction Multi Layer Perceptron Neural Network is used, whose parameters are estimated by a probabilistic Bayesian learning technique. The Bayesian framework allows obtaining the confidence intervals and to estimate the error bars of the Neural Network predictions. In order to build an effective model for PV forecasting, the time series of Global Horizontal Irradiance, Cloud Cover, Direct Normal Irradiance, 2 m Temperature, azimuth angle and solar Elevation Angle are used and preprocessed by a Linear Predictive Coding technique. The experimental results show a low percentage of forecasting error on test data, which is encouraging if compared to state of the art methods in literature.
Development and implementation of e learning system in smart educational environment
Venue: 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

E learning is an integral part of smart education. There are many e learning systems that are widely available to educational institutions. The challenge is to easily integrate the e learning system into a smart educational environment based on the requirements of the users. The e learning services rely on a software system that allows access to all the materials for the educational process and makes them electronically available to all the students on the Internet whenever they need and wherever they are. The design and development of e learning system is a critical part of the educational process as it reflects on the usage of the system. In this work, the design and implementation of e learning systems is described where different techniques are explored and compared. The proposed e learning system is designed using off the shelf and open source software engineering model and programming tools and database models. The system is tested to prove the new design concepts and features. The method used in the back end and front end design and implementation allows flexible usage and integration of the e learning systems by the educational institutions in smart cities.
Airlines' reaction to high speed rail entries: Empirical study of the Northeast Asian market

We investigate the impact of the commencement of high speed rail (HSR) services on airlines' domestic available seats on affected routes in China, Japan, and South Korea. The study is based on a dataset covering the 1994 2012 period. We use the propensity score matching method to pair HSR affected routes with routes without HSR services. The difference in difference approach is used to estimate the impact of HSR entry. We find that HSR entries may, on average, lead to a more significant drop in airlines' seat capacity in China than in Japan and Korea given similar HSR service speed. In China, HSR services with a maximum speed about 200km/h can produce strong negative impacts on medium haul air routes but induce more air seat capacity on long haul routes. HSR services with a maximum speed of 300km/h have little extra impact on medium haul routes but a strong negative impact on long haul routes. Finally, although HSR has a strong negative impact in Japan's short haul and medium haul air markets, little impact is observed in its long haul markets.