nils-herrmann/clean_scirepeval huggingface dataset:
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning
Venue: IEEE Access
Year: 2021

Employing large intelligent surfaces (LISs) is a promising solution for improving the coverage and rate of future wireless systems. These surfaces comprise massive numbers of nearly passive elements that interact with the incident signals, for example by reflecting them, in a smart way that improves the wireless system performance. Prior work focused on the design of the LIS reflection matrices assuming full channel knowledge. Estimating these channels at the LIS, however, is a key challenging problem. With the massive number of LIS elements, channel estimation or reflection beam training will be associated with (i) huge training overhead if all the LIS elements are passive (not connected to a baseband) or with (ii) prohibitive hardware complexity and power consumption if all the elements are connected to the baseband through a fully digital or hybrid analog/digital architecture. This paper proposes efficient solutions for these problems by leveraging tools from compressive sensing and deep learning. First, a novel LIS architecture based on sparse channel sensors is proposed. In this architecture, all the LIS elements are passive except for a few elements that are active (connected to the baseband) We then develop two solutions that design the LIS reflection matrices with negligible training overhead. In the first approach, we leverage compressive sensing tools to construct the channels at all the LIS elements from the channels seen only at the active elements. In the second approach, we develop a deep learning based solution where the LIS learns how to interact with the incident signal given the channels at the active elements, which represent the state of the environment and transmitter/receiver locations. We show that the achievable rates of the proposed solutions approach the upper bound, which assumes perfect channel knowledge, with negligible training overhead and with only a few active elements, making them promising for future LIS systems.
Aplicacion metodologia DMAIC en empresa textil con enfoque en reduccion de costos
Year: 2019

DMAIC methodology was applied in the THC company to reduce quality defects and its related costs. Based on historical data, the study approach was focused on the Tigre blankets family. It was corroborated that the quality parameters of the company are consistent with the critical quality factors defined by the clients, then the three production processes were documented through flow charts. It was determined that the critical processes referring to the quality shortcomings are the processes of weaving and printing.
Influence of permanent magnet stirring on dendrite morphological and elastic properties of a novel Sn Ag Cu Sb Al solder alloy by ultrasonic pulse echo method
Venue: Journal of Materials Science: Materials in Electronics
Year: 2020

Preventing columnar b Sn grains forming during manufacture have undoubtedly become major challenges. Columnar grains are commonly considered as unfavorable as their existence can relocate defects of solidification and deterioration in mechanical properties; however, the practical application of permanent magnetic stirring (PMS) during manufacture assuredly makes columnar grains easy to avert. In this published work, we studied the influence of PMS application on the solidification microstructures (growth morphology) elastic properties using pulse echo overlap (PEO) method, electrical resistivity and tensile properties of SAC(0505) Sb Al solder alloy. The direct result shows that the equiaxed b Sn grains produced with applying PMS instead of higher aspect ratio columnar b Sn grains was expected due to the induced Lorentz force. Hence, both the elastic modulus and hardness are typically decreased as the ratio of Poisson increased with applying PMS. In addition, the Pugh ratio has elucidated the ductility behavioral of the alloy sample. The tensile testing results exhibited possible enhancement in ductility by PMS, which could tremendously increase the elastic compliance of bulk solders. The electrical resistivity displays increase in the ionic contribution with PMS. These remarkable results offer innovative methods for predicting the final microstructure to properly control dendritic growth in metallic alloys.
Life Cycle of Smart Contracts in Blockchain Ecosystems
Venue: Datenschutz und Datensicherheit DuD
Year: 2017

This paper discusses the life cycle of decentralized smart contracts, i.e. digital and executable representations of rights and obligations in a multi party environment. The life cycle relies on blockchain technology, i.e. a distributed digital ledger, to ensure proper implementation and integrity of the smart contracts. The life cycle consists of four subsequent phases: Creation, freezing, execution, and finalization. For each phase actors and technological services are identified and explained in detail. With the life cycle at hand, risks and limitations of smart contracts and the underlying blockchain technology are briefly discussed.
English language education policy in Asia
Year: 2016

Introduction by Robert Kirkpatrick Thuy Thi Ngoc Bui. English in education Policy and Planning in Bangladesh: A Critical Examination by M. Obaidul Hamid Elizabeth J. Erling. English Language Education Policies in the People's Republic of China by Jeffrey Gil. English Language Education Policy and the Native speaking English Teacher (NET) Scheme in Hong Kong by Mihyon Jeon. English Education Policy in India by Hema Ramanathan. Language Policy in Practice: Reframing the English Language Curriculum in the Indonesian Secondary Education Sector by Handoyo Puji Widodo. English Language Education Policy in Japan by Gregory Paul Glasgow Daniel Leigh Paller. The Impact of English on Educational Policies and Practices in Malaysia by Ria Hanewald. Local Global Tension in the Ideological Construction of English Language Education Policy in Nepal by Prem Phyak. English Language Teaching in Pakistan: Language Policies, Delusions and Solutions by Syed Abdul Manan, Maya Khemlani David Francisco Perlas Dumanig. English Language Education in the Philippines: Policies, Problems, and Prospects by Marilu Ranosa Madrunio, Isabel Pefianco Martin Sterling Miranda Plata. Singapore's English knowing Bilingual Policy: A Critical Evaluation by Patrick Ng Chin Leong. English Education Policies in South Korea: Planned and Enacted by Jeehyae Chung Taehee Choi. English Language Policy and Planning in Sri Lanka: A Recent Overview by Dilini Walisundara Shyamani Hetti arachchi. Timor Leste by John Macalister. English Education Policy in Thailand: Why the Poor Results? By Amrita Kaur, David Young Robert Kirkpatrick. Standardizing English for Educational and Socio economic Betterment A Critical Analysis of English Language Policy Reforms in Vietnam by Thuy Thi Ngoc Bui Hoa Thi Mai Nguyen
Municipal wastewater treatment via co immobilized microalgal bacterial symbiosis: Microorganism growth and nutrients removal.
Venue: Bioresource technology
Year: 2017

A symbiotic microalgal bacterial system may be an optional technology for wastewater treatment. In this study, co immobilized of a bacterium isolated from a municipal wastewater treatment plant (Pseudomonas putida) and a microalgae Chlorella vulgaris was used in the study of cell growth and nutrient removal during wastewater treatment under batch and continuous culture conditions. Under batch culture conditions, co immobilization treatment significantly increased the cell density of C. vulgaris and P. putida compared with other treatments. The co immobilized treatment also showed higher removal of ammonium, phosphate and COD than any single treatment, indicating that the nutrient uptake capability of C. vulgaris and P. Putida was mutually enhanced mutually. When tested in continuous mode, the treatment with a hydraulic retention time of 24h at the organic load rate of 1159.2mgCODL 1d 1 was most appropriate for wastewater treatment.
Generation of two dimensionally variable saturated hydraulic conductivity fields: Model theory, verification and computer program
Venue: Comput. Geosci.
Year: 2008

The theory for the generation method of spatially variable K"s fields, using a set of scaling factors of log normally distributed random field with two dimensional correlation structure, is compiled from different sources. It is developed further by derivation of computational formulas of model parameters for a general case. The user of the method needs to define the mean, coefficient of variation and correlation length of the K"s fields. Both isotropic and anisotropic fields can be generated. The method and the computer program, which is provided for readers, are verified by analyzing example generations carried out by set of different parameter values. Since the materializations of the set values in generated fields were found satisfactorily accurate and their distributions cohered the model structure, the method and the computer program can be considered a useful and reliable tool for simulation of spatially variable hydraulic conductivity fields. However, the way of the method treating the covariance structure of the random vector limits the field size or the number of nodes where the K"s values are to be generated.
Determinantes celulares, plasmaticos y geneticos de riesgo de trombosis y hemorragia en pacientes con neoplasias mieloproliferativas cronicas filadelfia negativo
Year: 2010

Las Neoplasias Mieloproliferativas Cronicas (NMPc) Filadelfia negativo (Ph( clasicas comprenden la trombocitemia esencial (TE) la policitemia vera (PV) y la mielofibrosis primaria (MFP) y se caracterizan por la expansion clonal de la celula madre pluripotente, produciendo como resultado una hipercelularidad medular de predominio de una linea especifica; la trombosis y el sangrado son parte de la historia natural de este grupo de enfermedades, constituyendo sus principales causas de morbimortalidad. Trabajos recientes han sugerido un papel del componente celular (hematies, plaquetas y leucocitos) de marcadores geneticos y de proteinas anticoagulantes en la patogenia de la trombosis en pacientes con TE o PV, pero muchos de ellos no han sido validados y asi los datos son escasos y contradictorios. Los estudios de estas variables en la patologia hemorragica es aun mas limitada. Nuestra hipotesis era que se podrian buscar y definir biomarcadores de riesgo de trombosis y de hemorragia, tanto a nivel celular, plasmatico, como genetico, que ayudaran a trazar el perfil individual de riesgo de estas complicaciones hemostaticas. Estudiamos en primer lugar, los polimorfismos hemostaticos Factor V Leiden, PT G20210A, ZPI R67Stop, HPA 1b, HPA 2b, GPIa C807T, PSGL 1 VNTR, FVII 323 Del/Ins y TUBB1 Q43P, asi como el genotipo ABO de nuestros pacientes, sin observar una asociacion entre estos y la mayor incidencia de fenomenos trombohemorragicos. Estudiamos tambien la presencia de la mutacion JAK2 V617F (descri
When it Takes a Network: Creating Strategy and Agility through Wargaming
Year: 2013

Rational, analytical, directed approaches for strategy creation and execution may work for creating value by conventional, hierarchically structured organizations operating in stable environments. However, when the basis of competition shifts from product features to an experience delivered by a network of independently acting participants in a complex and fast evolving market environment, approaches based on command and control do not work. For order to emerge from such chaos and to gain more control over success, strategy based on reason alone is not enough to inspire action in others. To understand what it takes to effectively make strategy under such circumstances, this article shows how the UK's Royal Marines, in collaboration with more than a dozen different stakeholder groups, developed a novel adaptation of wargaming to affect strategic change in Afghanistan. It also demonstrates the broad applicability of this strategic approach.
Removing human players from the loop: AI assisted assessment of Gaming QoE
Venue: IEEE INFOCOM 2020 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2020

Quality of Experience (QoE) assessment for video games is known for being a heavy weight process, typically requiring the active involvement of several human players and bringing limited transferability across games. Clearly, to some extent, QoE is correlated with the achieved in game score, as player frustration will arise whenever realized performance is far from what is expected due to conditions beyond player control such as network congestion in the increasingly prevalent case of networked games. To disrupt the status quo, we propose to remove human players from the loop and instead exploit Deep Reinforcement Learning (DRL) agents to play games under varying network conditions. We apply our framework to a set of Atari games with different types of interaction, showing that the score degradation observed with DRL agents can be exploited in networking devices (e.g. by prioritizing scheduling decisions) reinforcing fairness across games, and thus enhancing the overall quality of gaming experience.
Branden's Conjectures on the Boros Moll Polynomials
Year: 2012

We prove two conjectures of Br\"{a}nd\{e}n on the real rootedness of polynomials $Q_n(x) and $R_n(x) which are related to the Boros Moll polynomials $P_n(x) In fact, we show that both $Q_n(x) and $R_n(x) form Sturm sequences. The first conjecture implies the 2 log concavity of $P_n(x) and the second conjecture implies the 3 log concavity of $P_n(x)
Sequence To Sequence Neural Networks Inference on Embedded Processors Using Dynamic Beam Search
Year: 2020

Sequence to sequence deep neural networks have become the state of the art for a variety of machine learning applications, ranging from neural machine translation (NMT) to speech recognition. Many mobile and Internet of Things (IoT) applications would benefit from the ability of performing sequence to sequence inference directly in embedded devices, thereby reducing the amount of raw data transmitted to the cloud, and obtaining benefits in terms of response latency, energy consumption and security. However, due to the high computational complexity of these models, specific optimization techniques are needed to achieve acceptable performance and energy consumption on single core embedded processors. In this paper, we present a new optimization technique called dynamic beam search, in which the inference complexity is tuned to the difficulty of the processed input sequence at runtime. Results based on measurements on a real embedded device, and on three state of the art deep learning models, show that our method is able to reduce the inference time and energy by up to 25% without loss of accuracy.
Comparisons of the City Brand Influence of Global Cities: Word Embedding Based Semantic Mining and Clustering Analysis on the Big Data of GDELT Global News Knowledge Graph
Year: 2020

Global cities act as influential hubs in the networked world. Their city brands, which are projected by the global news media, are becoming sustainable resources in various global competitions and cooperations. This study adopts the research paradigm of computational social science to assess and compare the city brand attention, positivity, and influence of ten Globalization and World Cities Research Network (GaWC) Alpha+ global cities, along with their dimensional structures, based on combining the cognitive and affective theoretical perspectives on the frameworks of the Anholt global city brand dimension system, the big data of global news knowledge graph in Google's Global Database of Events, Language, and Tone (GDELT) and the technologies of word embedding semantic mining and clustering analysis. The empirical results show that the overall values and dimensional structures of city brand influence of global cities form distinct levels and clusters, respectively. Although global cities share a common structural characteristic of city brand influence of the dimensions of presence and potential being most prominent, Western and Eastern global cities differentiate in the clustering of dimensional structures of city brand attention, positivity, and influence. City brand attention is more important than city brand positivity in improving the city brand influence of global cities. The preferences of the global news media over global city brands fits the nature of global cities.
Matrix metalloproteinases in vascular physiology and disease
Venue: Vascular
Year: 2012

Matrix metalloproteinases (MMPs) are a family of zinc dependent endopeptidases that primarily degrade components of the extracellular matrix (ECM) Remodeling of the ECM by MMPs is important in both physiological and pathological processes, including organ generation/regeneration, angiogenesis, wound healing, inflammation and tumor growth. In the vasculature, MMPs play a role in beneficial processes such as angiogenesis, collateral artery formation and thrombus resolution. However, MMP expression is also implicated in the pathogenesis of vascular diseases such as atherosclerosis, aortic aneurysms, plaque rupture and neointimal hyperplasia after balloon angioplasty. Here, we review the structure, functions and roles of MMPs in both neovascularization and vascular pathology and discuss the potential of, and challenges that face, adapting MMPs as therapeutic targets in vascular disease.
Words as social tools: Language, sociality and inner grounding in abstract concepts.
Venue: Physics of life reviews
Year: 2018

The paper introduces a new perspective on abstract concepts (e.g. "freedom" and their associate words representation, the Words As social Tools (WAT) view. Traditional theories conceptualize language as a way to index referents, a shortcut to access meaning, or a way to access meaning through words associations. WAT goes beyond these theories by identifying additional functions of words and language: words are tools helping us to perform actions and change the state of our social environment, and language is a means to improve our thought abilities, to control our behavior and plays a predictive role, helping us to form categories. Most importantly, WAT proposes that language and sociality along with interoceptive and metacognitive processes are key for the grounding of abstract concepts (ACs) that are more complex, variable, and more detached from perceptual and motor experience than concrete concepts (CCs) We highlight four tenets of WAT and discuss each of them in light of recent evidence: a. acquisition: compared to concrete concepts, the acquisition of abstract concepts relies more on social and linguistic inputs; b. brain representation: abstract concepts recruit more linguistic and social brain areas; c. mouth activation: due to the relevance of language for representing them, abstract concepts activate more the oral motor system; d. linguistic variability: abstract concepts are more affected by differences between spoken languages. We discuss evidence supporting these four tenets of WAT, and its advantages and limitations compared to other views on abstract concepts. Finally, we outline a conceptual proposal that specifies how internal models supporting the representation and processing of ACs can be grounded on interoceptive, metacognitive, social, and linguistic experience.
Is Collage a Crime?
Venue: Switched On Pop
Year: 2019

Chapter 12 looks at sampling, the technique of incorporating other sound recordings into a new composition. It is one of the most ubiquitous and most controversial practices in modern pop, offering unbridled creativity to musicians but also exposing them to claims of unoriginality and copyright infringement. Sampling entered popular music through hip hop, when instrumental breaks were repeated and recorded on a loop, forming the beat against which an MC could rap. The appearance of digital samplers in the 1980s enabled a proliferation of sample based music but heralded continuing legal battles to curtail the practice of sampling. "Paper Planes" is a collage of musical and lyrical referents that creates an indelible sonic texture while also indexing the themes of immigration and criminality that M.I.A. satirizes in her hit track.
Characteristics, Symptom Management, and Outcomes of 101 Patients With COVID 19 Referred for Hospital Palliative Care
Venue: Journal of Pain and Symptom Management
Year: 2020

Hospital palliative care is an essential part of the COVID 19 response but data are lacking. We identified symptom burden, management, response to treatment, and outcomes for a case series of 101 in patients with confirmed COVID 19 referred to hospital palliative care. Patients (64 male, median [IQR] age 82 [72 89] years, Elixhauser Comorbidity Index 6  Australian modified Karnofsky Performance Status 20 [10 20] were most frequently referred for end of life care or symptom control. Median [IQR] days from hospital admission to referral was 4 [1 12] days. Most prevalent symptoms (n) were breathlessness (67) agitation (43) drowsiness (36) pain (23) and delirium (24) Fifty eight patients were prescribed a subcutaneous infusion. Frequently used medicines (median maximum dose/24h) were opioids (morphine, 10 30mg; fentanyl, 100 200mcg; alfentanil 500 1000 mcg) and midazolam (10 20mg) Infusions were assessed as at least partially effective for 40/58 patients, while 13 patients died before review. Patients spent a median [IQR] of 2 [1 4] days under the palliative care team, who made 3 [2 5] contacts across patient, family and clinicians. At March 30 2020, 75 patients had died, 13 been discharged back to team, home or hospice, and 13 continued to receive inpatient palliative care. Palliative care is an essential component to the COVID 19 response, and teams must rapidly adapt with new ways of working. Breathlessness and agitation are common but respond well to opioids and benzodiazepines. Availability of subcutaneous infusion pumps is essential. An international minimum dataset for palliative care would accelerate finding answers to new questions as the COVID 19 pandemic develops.