nils-herrmann/clean_scirepeval huggingface dataset:
Design of Automated Construction System for Modular Structures based on Parameterized Learning Automata
Venue: 2018 International Joint Conference on Neural Networks (IJCNN)
Year: 2018

This work presents the development and imple mentation of an autonomous construction system which uses a holonomic mobile robot for constructing three dimensional modular structures from parts of different size. The main contribution of this paper is to propose a novel architectural framework for planning the construction task by reducing the total traveled distance and learning time with respect to the state of the art. A high level planner based on Parameterized Learning Automata (PLA) and \mathrm {A}\ast algorithms uses environmental feedback to generate the robot actions for accomplishing the task. The robotic platform is equipped with a magnetic gripper and also a RGB D camera and other additional sensors to aid the control and navigation of the robot. The simultaneous mapping and robot location are performed using the Real Time Appearance Based Mapping (RTAB Map) algorithm. The RTAB Map algorithm uses three dimensional image information and odometry data to create the map environment and also to estimate the pose of the robot. Simulation and experimental trials have been performed to assess the effectiveness of the proposed robotic assembly system.
Dictionary based pitch tracking with dynamic programming
Venue: INTERSPEECH
Year: 2014

Pitch detection has important applications in areas of automatic speech recognition such as prosody detection, tonal language transcription, and general feature augmentation. In this paper we describe Pitcher, a new pitch tracking algorithm that correlates spectral information with a dictionary of waveforms each of which is designed to match signals with a given pitch value. We apply dynamic programming techniques on the resulting coefficient matrix to extract a smooth pitch contour while facilitating pitch halving and doubling transitions. We discuss the design of pitch atoms along with the various considerations for the pitch extraction process. We evaluate the performance of Pitcher on the PTDB database and compare its performance with three existing pitch tracking algorithms: YIN, IRAPT, and Swipe' The performance of Pitcher consistently outperforms the other methods for low pitched speakers and is comparable in performance to the best of the other three methods for highpitched speakers.
An empirical comparison of supervised learning algorithms
Venue: ICML
Year: 2006

A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog Project in the early 90's. We present a large scale empirical comparison between ten supervised learning methods: SVMs, neural nets, logistic regression, naive bayes, memory based learning, random forests, decision trees, bagged trees, boosted trees, and boosted stumps. We also examine the effect that calibrating the models via Platt Scaling and Isotonic Regression has on their performance. An important aspect of our study is the use of a variety of performance criteria to evaluate the learning methods.
4D printing of high performance shape memory polymer using stereolithography
Year: 2017

High shape fixity, shape recovery, and prolonged shape memory cycle life are desirable aspects of 4D printed parts; however, the durability of 4D printed parts is rarely investigated. Here, we demonstrated a photopolymer printable by stereolithography apparatus (SLA) which uses a tBA co DEGDA network based on dual component phase switching mechanism to build parts of complex geometries and exhibit shape memory behavior. The material can achieve a high curing rate and precise printing that are highly desired for SLA process. The mechanical strength of the printed parts is comparable statistically to industrial SMPs and shape memory tests showed excellent shape memory performance with higher durability of 20 shape memory cycles as compared to current 4D printed parts. This work is believed to enable the use of SLA technology to fabricate responsive components of high performance, which also significantly advances the 3D printing technology for more robust applications.
On Quantum Chosen Ciphertext Attacks and Learning with Errors
Venue: IACR Cryptol. ePrint Arch.
Year: 2018

Quantum computing is a significant threat to classical public key cryptography. In strong "quantum access" security models, numerous symmetric key cryptosystems are also vulnerable. We consider classical encryption in a model which grants the adversary quantum oracle access to encryption and decryption, but where the latter is restricted to non adaptive (i.e. pre challenge) queries only. We define this model formally using appropriate notions of ciphertext indistinguishability and semantic security (which are equivalent by standard arguments) and call it QCCA1 in analogy to the classical CCA1 security model. Using a bound on quantum random access codes, we show that the standard PRF based encryption schemes are QCCA1 secure when instantiated with quantum secure primitives. We then revisit standard IND CPA secure Learning with Errors (LWE) encryption and show that leaking just one quantum decryption query (and no other queries or leakage of any kind) allows the adversary to recover the full secret key with constant success probability. In the classical setting, by contrast, recovering the key requires a linear number of decryption queries. The algorithm at the core of our attack is a (large modulus version of) the well known Bernstein Vazirani algorithm. We emphasize that our results should not be interpreted as a weakness of these cryptosystems in their stated security setting (i.e. post quantum chosen plaintext secrecy) Rather, our results mean that, if these cryptosystems are exposed to chosen ciphertext attacks (e.g. as a result of deployment in an inappropriate real world setting) then quantum attacks are even more devastating than classical ones.
Aplicacion del protocolo de prevencion de ulceras por presion por el personal de Enfermeria. Hospital "Vicente Corral Moscoso" area de cirugia y clinica. Cuenca 2019
Year: 2019

Antecedentes: las ulceras por presion son lesiones localizadas en la piel sobre prominencias oseas, provocadas por presion y/o cizallamiento; en la actualidad, son consideradas un problema de Salud Publica, de connotacion grave, donde Enfermeria tiene una gran responsabilidad dentro de su rol autonomo. Objetivo general: evidenciar la aplicacion del protocolo de prevencion de ulceras por presion por el personal de enfermeria, hospital "Vicente Corral Moscoso" area de cirugia y clinica. Cuenca 2019 Metodologia: estudio descriptivo, cuantitativo; realizado en el hospital "Vicente Corral Moscoso" en las areas de cirugia y clinica, con un universo finito, constituido por el personal de enfermeria. Se aplico una encuesta estructurada, basada en el protocolo de prevencion de ulceras por presion y una lista de cotejo para verificar la aplicacion de este. El analisis de los datos se realizo mediante el programa SPSS version 22, presentando los resultados por medio de tablas de frecuencias y porcentajes. Resultados: poblacion con edad media de 33.45; el 34.4% corresponde a licenciadas/os en enfermeria, el 42.7% auxiliares de enfermeria y el 22.9% a internas/os de enfermeria. En relacion con los conocimientos el 93.8% los poseen; el 97.9 cumplen el protocolo establecido; y, el 70.8% declaro haber sido capacitado en este tema en alguna ocasion.  el personal de enfermeria del hospital "Vicente Corral Moscoso" aplica de forma excelente el protocolo de prevencion de las ulceras por presion.
The characteristic of Leader member Exchange (LMX) relationship between leader and follower
Year: 2020

The objective of this research is to understand the characteristic of the LMX relationship between leader and follower in the construction industry (in the context of a project based organization) with followers as the provider of ideas and knowledge. This research is conducted in a construction stateown enterprise (SOE) in Indonesia, selected due to tight competition and the consequential need for innovation within short timescales. This study involves all 121 projects that existed at the time of data collection, and the unit of analysis is a dyadic relationship between general managers (as leader) and project managers (as a follower) Of these dyads, only 118 dyads can be analyzed (97.52 percent participation rate) and the analysis method used in this study is descriptive statistical analysis. The findings indicate the presence of statistic similarity between leaders and followers in case: the man's gender 98,3% regional origin match 42,4% similarity level of education 39,8% the similarity of ownership of construction certification 71,2% the duration of the current working relationship with the leader for 13 to 24 months (49,2% the duration of knowing current leader in the company for above 5 years (60% Therefore, the demographic similarity is an important characteristic of highquality LMX.
Stem Cell Research and Therapy: The Position of the National Society of Genetic Counselors
Venue: Journal of Genetic Counseling
Year: 2013

Stem cells' regenerative capabilities present a unique opportunity to treat human illness and injury. In 2003, the National Society of Genetic Counselors (NSGC) issued a position statement supporting stem cell use in research settings. Almost a decade later, in response to legislative and technological developments within the field of stem cell science, NSGC convened a task force to revisit and update its statement on stem cell research. In doing so, the Task Force developed a new statement reaffirming NSGC's support for stem cell research and endorsed continued stem cell therapy development. NSGC recognizes that the unique potential of stem cell therapy to treat human disease and injury can be realized only through research on a diverse array of stem cell lines drawn from multiple sources, including embryonic, cord blood, and adult cells. NSGC supports the use of stem cells in research and clinical settings when practices adhere to defined ethical and legal guidelines. Available stem cell lines should reflect our genetically diverse population, and donor recruitment should be without discrimination or coercion and include a thorough and dynamic informed consent process.
When Employees Do Bad Things for Good Reasons: Examining Unethical Pro Organizational Behaviors
Venue: Organ. Sci.
Year: 2011

We propose that employees sometimes engage in unethical acts with the intent to benefit their organization, its members, or both a construct we term unethical pro organizational behavior. We suggest that positive social exchange relationships and organizational identification may lead to unethical pro organizational behavior indirectly via neutralization, the process by which the moral content of unethical actions is overlooked. We incorporate situational and individual level constructs as moderators of these relationships and consider managerial implications and future research.
A Branch and Price Algorithm for the Liner Shipping Network Design Problem
Year: 2020

Maritime transportation is the backbone of the global economy and one of its most important segments is liner shipping. To design a liner shipping network is notoriously difficult but also very important since an efficient network can be the difference between prosperity and bankruptcy. In this paper, we propose a branch and price algorithm for the liner shipping network design problem, which is the problem of designing a set of cyclic services and to deploy a specific class of vessels to each service so that all demand can flow through the network at minimal cost. The proposed model can create services with a complex structure and correctly calculate the transshipment cost. The formulation of the master problem strengthens a known formulation with valid inequalities. Because of multiple dependencies between ports that are not necessarily adjacent and no defining state at any of the ports, the subproblem is formulated and solved as a mixed integer linear program. Strategies to improve the solution time of the subproblem are proposed. The computational study shows that the algorithm provides significantly tighter lower bounds in the root node than existing methods on a set of small instances.
Registration of planar virtual fixtures by using augmented reality with dynamic textures
Venue: 2015 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2015

This paper presents a method to align a virtual plane with a real plane in an augmented reality environment. The method addresses the challenge of configuring a planar virtual fixture during the teleoperation of a robot in a visually challenging environment. The method assists the operator to manually align the virtual plane with the real plane by providing visual cues by dynamically texturing the virtual plane. Following the manual initialization a robust evaluation of the optical flow is used to refine the alignment of the virtual plane. The system combines a stereo camera with a stereo display and generates visual distortions in the displayed images to indicate a misalignment of the virtual plane with the real one. The distortion is computed by displaying warped images from the left camera in the right display and vice versa. Results demonstrate that the method improves the accuracy of the alignment with a real plane that is covered with reflective multi layer insulation.
Regulation of Glycolysis and the Warburg Effect by Estrogen related Receptors
Venue: Oncogene
Year: 2013

Cancer cells typically display altered glucose metabolism characterized by a preference of aerobic glycolysis, known as the Warburg effect, which facilitates cell proliferation. Hypoxia inducible factor (HIF) and oncoprotein Myc are two prominent transcription factors that drive glycolysis. Previously, we reported that the estrogen related receptors (ERRs) act as cofactors of HIF and enhance HIF dependent transcription of glycolytic genes under hypoxia. ERRs are orphan nuclear receptors and key regulators of energy metabolism by orchestrating mitochondrial biogenesis, fatty acid oxidation (FAO) and oxidative phosphorylation. Here, we show that ERRs also stimulate glycolysis under normoxia. ERRs directly bind to and activate promoters of many genes encoding glycolytic enzymes, and the ERR binding sites in such promoters are essential for ERR mediated transcriptional activation. ERRs interact with Myc, and the two factors synergistically activate transcription of glycolytic genes. Furthermore, overexpression of ERRs increases glycolytic gene expression and lactate production. Conversely, depletion of ERRs in cancer cells reduces expression of glycolytic genes and glucose uptake, resulting in decreased aerobic glycolysis and cell growth. Taken together, these results suggest that ERRs are important transcriptional activators of the glycolytic pathway and contribute to the Warburg effect in cancer cells.
Classification of DHCP Spoofing and Effectiveness of DHCP Snooping
Year: 2019

It is well known that DHCP snooping is a famous countermeasure against DHCP spoofing. Actually, to what extent DHCP snooping can protect the authenticated DHCP clients from being given malicious DHCP transactions through the network where the authenticated DHCP clients and the malicious DHCP servers share with each other? The answer to this question is that DHCP snooping can protect DHCP spoofing to a certain extent, though DHCP snooping cannot protect DHCP spoofing completely. In the former half of this paper, it is shown that DHCP spoofing can be classified into two cases, namely DHCP spoofing from inside and DHCP spoofing from outside, and in the latter half of this paper, it is shown that DHCP snooping can protect the former attack from being implemented but cannot protect the latter attack from being implemented. More exactly speaking, it is shown that DHCP snooping cannot prevent DHCP spoofing from outside from being implemented, while applying the longest matching prefix rule to leading a malicious network segment which is constructed on the basis of the leaked DHCP transactions beforehand.
A Series elastic Robot for Back pain Rehabilitation
Year: 2020

This paper addresses the robot assisted rehabilitation of back pain, an epidemic health problem affecting a large portion of the population. The design is composed of two springs in series connected to an end effector via a pair of antagonistic cables. The spring and cable arrangement forms an elastic coupling from the actuator to the output shaft. An input output torque model of the series elastic mechanism is established and studied numerically. The study also illustrates the variation of the mechanism's effective stiffness by changing the springs' position. In addition, we built a prototype of the robotic mechanism and design experiments with a robotic manipulator to experimentally investigate its dynamic characteristics. The experimental results confirm the predicted elasticity between the input motion and the output torque at the end effector. We also observe an agreement between the data generated by the torque model and data collected from the experiments. An experiment with a full scale robot and a human subject is carried out to investigate the human robot interaction and the mechanism behavior.
The Merrifield Simmons index of two classes of lexicographic product graphs of corona graphs
Venue: ICMAI
Year: 2018

The Merrifield Simmons index of a graph is defined as the total number of the independent sets of the graph. This paper mainly discussed the Merrifield Simmons index of two classes of lexicographic product graphs of Corona graphs P(m)n [H] and C(m)n[H] with the specific expressions are given.
Awareness Regarding Importance of SDLC among IT Professionals and Students: A Survey
Venue: International Journal of Computer Applications
Year: 2019

This paper aims to create awareness regarding importance and need of Software Development Life Cycle (SDLC) among IT Professionals and Students in executing projects. The SDLC itself is the solution for the success of projects but there is always a room for improvement and its awareness will highlight the areas of SDLC in detail and its need and importance. In this paper, we focus on strengths and weaknesses of SDLC. What are the impacts for selecting right SDLC process models? What are the Risk Factors involved in SDLC Phases? In this regard, some survey results also included to emphasis the importance of SDLC in IT based projects. Survey indicate that, in every organization SDLC implemented by different professionals of every field as well as students in their respective area of projects.
First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems.
Venue: Angewandte Chemie
Year: 2017

Modern simulation techniques have reached a level of maturity which allows a wide range of problems in chemistry and materials science to be addressed. Unfortunately, the application of first principles methods with predictive power is still limited to rather small systems, and despite the rapid evolution of computer hardware no fundamental change in this situation can be expected. Consequently, the development of more efficient but equally reliable atomistic potentials to reach an atomic level understanding of complex systems has received considerable attention in recent years. A promising new development has been the introduction of machine learning (ML) methods to describe the atomic interactions. Once trained with electronic structure data, ML potentials can accelerate computer simulations by several orders of magnitude, while preserving quantum mechanical accuracy. This Review considers the methodology of an important class of ML potentials that employs artificial neural networks.
First International Workshop on the Biology Prevention and Treatment of Relapse after Allogeneic Hematopoietic Stem Cell Transplantation Report from the Committee on Treatment of Relapse after Allogeneic Hematopoietic Stem Cell Transplantation
Year: 2010

Relapse is a major cause of treatment failure after allogeneic hematopoietic stem cell transplantation (alloHSCT) Treatment options for relapse have been inadequate and the majority of patients ultimately die of their disease. There is no standard approach to treating relapse after alloHSCT. Withdrawal of immune suppression and donor lymphocyte infusions (DLI) are commonly used for all diseases; although these interventions are remarkably effective for relapsed CML, they have limited efficacy in other hematologic malignancies. Conventional and novel chemotherapy, monoclonal antibody therapy, targeted therapies, and second transplants have been utilized in a variety of relapsed diseases, but reports on these therapies are generally anecdotal and retrospective. As such there is an immediate need for well designed, disease specific trials for treatment of relapse after alloHSCT. This report summarizes current treatment options under investigation for relapse after alloHSCT in a disease specific manner. In addition, recommendations are provided for specific areas of research necessary in the treatment of relapse after alloHSCT.   David L. Porter, M.D. Division of Hematology Oncology, University of Pennsylvania Medical Center,  Civic Center Blvd, Philadelphia, PA, USA, david.porter@uphs.upenn.edu, Phone: 215 662 2862,  All authors contributed equally to this work.  This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. NIH Public Access Author Manuscript Biol Blood Marrow Transplant. Author manuscript; available in PMC 2011 November 1. Published in final edited form as: Biol Blood Marrow Transplant. 2010 November 16(11) 1467 1503. doi:10.1016/j.bbmt.2010.08.001. N IH PA Athor M anscript N IH PA Athor M anscript N IH PA Athor M anscript
Entwicklung und Untersuchung von Erkennungssoftware fur den Einsatz im Projekt Herbar Digital
Year: 2009

Kommerzielle OCR Programme sind nicht in der Lage kursiv geschriebene Handschriften zu lesen. Deshalb wurde in der vorliegenden Arbeit ein Verfahren entwickelt, um kursive handgeschriebene Buchstaben zu erkennen und daruber hinaus auch deren Schreiber zu bestimmen. Dazu muss der statische Buchstabe in eine dynamische Form gebracht werden. Dies geschieht mit dem Modell einer tragen Kugel, die durch den Schriftzug rollt. Uber den Schreiber kann evtl. der Name des Entdeckers einer Pflanze bestimmt werden. Bei dieser Offline Schreibererkennung werden verschiedene Verfahren wie die Nachbildung der Schreiblinie einzelner Buchstaben durch z.B. Legendre Polynome verwendet. Bei Verwendung nur eines Buchstabens der Schreiber wird eine Erkennungsrate von bis zu 80% erreicht.
A STUDY ON THE TRENDS AND PATTERNS OF CONSUMER BEHAVIOUR OF COLLEGE STUDENTS
Year: 2019

Due to introduction of new technologies, social medias, over exposure to making communication activity of the companies, the adult are become more brand conscious. On the other hand the economic dependency of adults on their partners have also lead to a considerable increase in marginal propensity to consume (MPC) of the adults. Like no other generation today's youth are growing up in a culture of debt facilities in order to make unproductive expenditure.The attitude of youth now changed to "LIVE FOR TODAY " from "SAVINGS FOR THE FUTURE"