From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing

In recent studies [1][13][12] Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, data compression is also based on predictions. What the problem comes down to is whether a data compressor could be used to perform as well as recurrent neural networks in natural language processing tasks. If this is possible,then the problem comes down to determining if a compression algorithm is even more intelligent than a neural network in specific tasks related to human language. In our journey we discovered what we think is the fundamental difference between a Data Compression Algorithm and a Recurrent Neural Network

DEATHS IN OPEN WATER SWIMMING RACES IN BRAZIL FROM 2009 TO 2019

International Journal of Exercise Science 15(6): 1295-1305, 2022. Since the inclusion in the Olympic Games (2008), open swimming races have attracted greater media attention and, therefore, have a greater number of practitioners, especially in Brazil, an extremely favorable country for this sport. However, increasing reports of fatal incidents in open water races brought the medical and scientific community to attention. The aim of this study was to review the characteristics of deaths in open waters events in Brazil from 2009 to 2019. The survey was divided into 3 steps: 1) contacting sports-related federations and companies, including swimming and triathlon federations, master associations and event organizing companies; 2) internet search; and 3) personal communication with athletes, coaches, organizers, and health personnel. A total of 12 deaths were observed in open water swimming races, including triathlon swimming segment races in Brazil from 2009 to 2019. The average was 1.1 deaths per year, whereas in the last 3 years (2017-2019) the average was 3 deaths per year. The male participants accounted for 11 deaths (91.7%), the average age was 47 years old, experienced athletes were more affected (80%), and incidents occurred mainly in ocean waters (75%). The increase of deaths in the last 3 years draws attention, and the best way to reduce the deaths by drowning in open waters in Brazil, is to understand the profile and causes, to propose solutions

Macadamia Oil Supplementation Attenuates Inflammation and Adipocyte Hypertrophy in Obese Mice

Excess of saturated fatty acids in the diet has been associated with obesity, leading to systemic disruption of insulin signaling, glucose intolerance, and inflammation. Macadamia oil administration has been shown to improve lipid profile in humans. We evaluated the effect of macadamia oil supplementation on insulin sensitivity, inflammation, lipid profile, and adipocyte size in high-fat diet (HF) induced obesity in mice. C57BL/6 male mice (8 weeks) were divided into four groups: (a) control diet (CD), (b) HF, (c) CD supplemented with macadamia oil by gavage at 2g/Kg of body weight, three times per week, for 12 weeks (CD + MO), and (d) HF diet supplemented with macadamia oil (HF + MO). CD and HF mice were supplemented with water. HF mice showed hypercholesterolemia and decreased insulin sensitivity as also previously shown. HF induced inflammation in adipose tissue and peritoneal macrophages, as well as adipocyte hypertrophy. Macadamia oil supplementation attenuated hypertrophy of adipocytes and inflammation in the adipose tissue and macrophages.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ São Paulo, Dept Biol Celular & Desenvolvimento, BR-05508000 São Paulo, BrazilUniv Estadual Paulista, UNESP, Dept Educ Fis, Programa Posgrad Ciencia Motricidad, BR-13506900 Rio Claro, SP, BrazilUniv São Paulo, Inst Ciencias Biomed, Dept Fisiol & Biofis, BR-05508000 São Paulo, BrazilUniv Sao Judas Tadeu, Dept Ciencias Biol, Lab Movimento Humano, BR-05503001 São Paulo, BrazilUniversidade Federal de São Paulo, Dept Fisiol, Disciplina Fisiol Nutr, BR-04023901 São Paulo, BrazilUniv São Paulo, Inst Biociencias, Dept Fisiol Geral, BR-05508090 São Paulo, BrazilUniv Cruzeiro Sul, Inst Ciencias Atividade Fis & Esporte, Programa Posgrad Ciencia Movimento Humano, BR-01506000 São Paulo, BrazilUniversidade Federal de São Paulo, Dept Fisiol, Disciplina Fisiol Nutr, BR-04023901 São Paulo, BrazilWeb of Scienc

Network Centrality and Funding Rates in the e-MID Interbank Market

This paper empirically investigates the role of banks' network centrality in the interbank market on their funding rates. Specifically we analyze transaction data from the e-MID market, the only electronic interbank market in the Euro Area and US, over the period 2006-2009 that encompasses the global financial crisis. We show that interbank spreads are significantly affected by both local and global measures of connectedness. The effects of network centrality increased as the financial crisis evolved. Local measures show that having more links increases borrowing costs for borrowers and reduces premia for lenders. For global network centrality, borrowers receive a significant discount if they increase their intermediation activity and become more central, while lenders pay in general a premium (i.e. receive lower rates) for centrality. This provides evidence of the `too-interconnected-to-fail' hypothesis

From influence to impact: the multifunctional land-use in Mediterranean prehistory emerging from palynology of archaeological sites (8.0-2.8 ka BP)

Archaeobotany is used to discover details on local land uses in prehistoric settlements developed during the middle and beginning of late Holocene. Six archaeological sites from four countries (Spain, Italy, Greece, and Turkey) have pollen and charcoal records showing clear signs of the agrarian systems that had developed in the Mediterranean basin during different cultural phases, from pre-Neolithic to Recent Bronze Age. A selected list of pollen taxa and sums, including cultivated trees, other woody species, crops and annual or perennial synanthropic plants are analysed for land use reconstructions. In general, cultivation has a lower image in palynology than forestry, and past land uses became visible when oakwoods were affected by human activities. On-site palynology allows us to recognise the first influence of humans even before it can be recognised in off-site sequences, and off-site sequences can allow us to determine the area of influence of a site. Neolithic and Bronze Age archaeological sites show similar land use dynamics implying oak exploitation, causing local deforestation, and cultivation of cereal fields in the area or around the site. Although a substantial difference makes the Neolithic influence quite distant from the Bronze Age impact, mixed systems of land exploitation emerged everywhere. Multiple land use activities exist (multifunctional landscapes) at the same time within the area of influence of a site. Since the Neolithic, people have adopted a diffuse pattern of land use involving a combination of diverse activities, using trees\u2013crops\u2013domesticated animals. The most recurrent combination included wood exploitation, field cultivation and animal breeding. The lesson from the past is that the multifunctional land use, combining sylvo-pastoral and crop farming mixed systems, has been widely adopted for millennia, being more sustainable than the monoculture and a promising way to develop our economy

EscriVid 2020. Reflexiones y escrituras en torno a pandemia(s) y asilamiento(s)

La publicación de EscriVid 2020. Reflexiones en torno a pandemia(s) y aislamiento(s), ha sido posible gracias al trabajo de las coordinadoras del volumen, Guadalupe Reinoso y Alicia Vaggione, especialmente convocadas por el Área de Publicaciones de la Facultad de Filosofía y Humanidades de la Universidad Nacional de Córdoba para esta tarea. Ha sido posible también gracias al trabajo de María Angélica Bella que estuvo a cargo del diseño de interior, de Manuel Coll que estuvo a cargo del diseño de las imágenes y del diseño de tapa y al trabajo impecable (y muy respetuoso) de corrección que hicieron Florencia Colombetti y Lucía Bima. Ha sido posible también gracias al interés deseante de lxs autorxs puestos a estudiar, leer, pensar, escribir. La Oficina de Conocimiento Abierto ha registrado en este Repositorio el aporte de cada autor / autora disponiendo los metadatos que identifican a cada trabajo y el acceso a los textos completos de cada uno de ellos.Fil: Reinoso, Guadalupe. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades. Escuela de Filosofía; Argentina.Fil: Reinoso, Guadalupe. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades. Centro de Investigaciones Maria Saleme Burnichón; Argentina.Fil: Reinoso, Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Vaggione, Alicia. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.Fil: Vaggione, Alicia. Universidad Nacional de Córdoba. Facultad de Ciencias Sociales; Argentina

THE NEEDLE in the 100 deg² HAYSTACK: UNCOVERING AFTERGLOWS of FERMI GRB<inf>s</inf> with the PALOMAR TRANSIENT FACTORY

The Fermi Gamma-ray Space Telescope has greatly expanded the number and energy window of observations of gamma-ray bursts (GRBs). However, the coarse localizations of tens to a hundred square degrees provided by the Fermi GRB Monitor instrument have posed a formidable obstacle to locating the bursts' host galaxies, measuring their redshifts, and tracking their panchromatic afterglows. We have built a target-of-opportunity mode for the intermediate Palomar Transient Factory in order to perform targeted searches for Fermi afterglows. Here, we present the results of one year of this program: 8 afterglow discoveries out of 35 searches. Two of the bursts with detected afterglows (GRBs 130702A and 140606B) were at low redshift (z = 0.145 and 0.384, respectively) and had spectroscopically confirmed broad-line Type Ic supernovae. We present our broadband follow-up including spectroscopy as well as X-ray, UV, optical, millimeter, and radio observations. We study possible selection effects in the context of the total Fermi and Swift GRB samples. We identify one new outlier on the Amati relation. We find that two bursts are consistent with a mildly relativistic shock breaking out from the progenitor star rather than the ultra-relativistic internal shock mechanism that powers standard cosmological bursts. Finally, in the context of the Zwicky Transient Facility, we discuss how we will continue to expand this effort to find optical counterparts of binary neutron star mergers that may soon be detected by Advanced LIGO and Virgo. © 2015. The American Astronomical Society. All rights reserved

Research and Design of a Routing Protocol in Large-Scale Wireless Sensor Networks

无线传感器网络，作为全球未来十大技术之一，集成了传感器技术、嵌入式计算技术、分布式信息处理和自组织网技术，可实时感知、采集、处理、传输网络分布区域内的各种信息数据，在军事国防、生物医疗、环境监测、抢险救灾、防恐反恐、危险区域远程控制等领域具有十分广阔的应用前景。 本文研究分析了无线传感器网络的已有路由协议，并针对大规模的无线传感器网络设计了一种树状路由协议，它根据节点地址信息来形成路由，从而简化了复杂繁冗的路由表查找和维护，节省了不必要的开销，提高了路由效率，实现了快速有效的数据传输。 为支持此路由协议本文提出了一种自适应动态地址分配算——ADAR（AdaptiveDynamicAddre...As one of the ten high technologies in the future, wireless sensor network, which is the integration of micro-sensors, embedded computing, modern network and Ad Hoc technologies, can apperceive, collect, process and transmit various information data within the region. It can be used in military defense, biomedical, environmental monitoring, disaster relief, counter-terrorism, remote control of haz...学位：工学硕士院系专业：信息科学与技术学院通信工程系_通信与信息系统学号：2332007115216

From Imitation to Prediction, Data Compression vs Recurrent Neural Networks for Natural Language Processing

In recent studies Recurrent Neural Networks were used for generative processes and their surprising performance can be explained by their ability to create good predictions. In addition, Data Compression is also based on prediction. What the problem comes down to is whether a data compressor could be used to perform as well as recurrent neural networks in the natural language processing tasks of sentiment analysis and automatic text generation. If this is possible, then the problem comes down to determining if a compression algorithm is even more intelligent than a neural network in such tasks. In our journey, a fundamental difference between a Data Compression Algorithm and Recurrent Neural Networks has been discovered