nils-herrmann/clean_scirepeval huggingface dataset:
The Effect of Massage on the Cardiac Autonomic Nervous System and Markers of Inflammation in Night Shift Workers: a Pilot Randomized Crossover Trial
Venue: International journal of therapeutic massage bodywork
Year: 2020

Shift work is a necessary part of many industries; however, it can have detrimental effects on health over time.  This study investigated the effect of a massage intervention on the cardiac autonomic activity and blood inflammatory markers of healthy medical residents working night shifts.  This trial was conducted at British Columbia Children's and Women's Hospital between February 2014 and June 2016.  Included participants were generally healthy medical residents and were working rotating night shifts on a regular basis.  This was a randomized, controlled, crossover, open label trial (NCT02247089) Interventions Participants received either a 30 min massage intervention or reading control after consecutive periods of night shift.  The primary outcome was high frequency, a proxy for the cardiac parasympathetic activity, measured via heart rate variability. Secondary outcomes included other heart rate variability measures, blood markers of inflammation, and blood pressure.  Twelve participants were recruited (nine female) with median age of 28 years. There was no significant difference between the massage intervention and the reading control for the primary outcome, (median relative change between pre and postmassage [interquartile range] 62% 1 to 150] pre and postreading: 14% 10 to 51] p .16) Similarly, there was no difference with respect to blood inflammatory markers and blood pressure. Median high frequency significantly increased between pre and postmassage (185 vs. 358 ms2, p .04)  This pilot study found no statistically significant difference between the massage intervention and the reading control; however, we did observe a significant increase in median high frequency from before massage to after massage, indicative of increased parasympathetic activity. This study may help inform planning of larger trials evaluating massage interventions on the activity of the autonomic nervous system and managing shift work stress.
Low profile scalable phased array antenna at Ku band for mobile satellite communications
Venue: 2016 IEEE International Symposium on Phased Array Systems and Technology (PAST)
Year: 2016

This paper discusses the design of an 8x8 phased array antenna tile for Ku band mobile satellite communications. The array has low profile, high gain, and wide angle scanning properties. The design steps and electromagnetic analysis of a dual polarized radiating antenna element and an 8x8 array tile comprised of these radiating elements are presented. The array structure makes it possible for satellite communication (SATCOM) terminals with compact sizes, because the whole front end might be on the same multilayer printed circuit board (PCB) With a compact geometry and 25% bandwidth, the array promises an excellent performance for satellite communication applications. The radiation characteristics and other array parameters are evaluated with respect to the application requirements.
Fitness Changes After an 8 Week Fitness Coaching Program at a Regional Youth Detention Facility
Venue: Journal of correctional health care the official journal of the National Commission on Correctional Health Care
Year: 2016

A Surgeon General's report states that there is a favorable relationship between exercise and chronic disease. Research suggests that exercise programs for elderly inmates may have a positive effect on the number of infirmary visits, which in turn may have a long term effect on inmate health care costs. This exploratory descriptive double case study sought to add to the minimal information in peer reviewed research journals by examining the effects of fitness coaching on two juveniles at a youth detention facility in Southwest Montana. The results showed that both participants made fitness improvements following the 8 week program and both perceived positive effects on self concept and overall sense of well being from participating in this program.
Recovery of Iron from High Iron Bayer Red Mud by Smelting Reduction
Year: 2020

The high iron Bayer red mud, which contains 30 50% iron, is regarded as low grade iron ore. With the global scarcity of iron supply worldwide, how to effectively utilize the iron in high iron red mud has attracted more and more attention in recent decades. In this paper, the technology to recovery of iron from high iron red mud was developed with smelting reduction followed by rapid cooling to separate the metal from slag. The effects of various experiment parameters such as temperature, basicity and reduction time on iron recovery from red mud was studied in detail. The results showed that the separation between metal and slag was complete. The content of iron in metal and iron recovery ratio were 94.06 and 80.16% with basicity of 0.9 smelting at 1600 degC for 30 min. The optimum experiment result were of great significance to achieve large scale, high value utilization of red mud.
Efficient and robust pseudonymous authentication in VANET
Venue: VANET '07
Year: 2007

Effective and robust operations, as well as security and privacy are critical for the deployment of vehicular ad hoc networks (VANETs) Efficient and easy to manage security and privacy enhancing mechanisms are essential for the wide spread adoption of the VANET technology. In this paper, we are concerned with this problem; and in particular, how to achieve efficient and robust pseudonym based authentication. We design mechanisms that reduce the security overhead for safety beaconing, and retain robustness for transportation safety, even in adverse network settings. Moreover, we show how to enhance the availability and usability of privacy enhancing VANET mechanisms: Our proposal enables vehicle on board units to generate their own pseudonyms, without affecting the system security.
Development of hierarchical ranking strategy for the asphalt skeleton in semi flexible pavement
Venue: Construction and Building Materials
Year: 2019

This study evaluates the suitability of seven different asphalt mixes, prepared at a wide range of binder content (2 5% to be used for semi flexible pavement. A hierarchical list of tests, including draindown, air void content, voids in coarse aggregate (VCA) ratio, permeability and Cantabro loss have been selected for accepting/rejecting the mixes based on limiting values assigned to each test parameter. Indirect tensile strength (ITS) test is finally used as a fatigue performance criteria to evaluate the relative performance of the mix. This study also proposes a simple methodology of ranking the mixes based on the priority given to the 'type' of test. The proposed method tends to eliminate the constraint imposed by the limiting criteria under each test. The hierarchical method of eliminating/selecting mixes was found to be appropriate for arriving at the mixes with most desirable properties as a surface layer in semi flexible pavement. Eight mixes including M 1 (BSI) 3.5% M 1: 4% M 2 (Boundy) 3.5% M 3 (Densiphalt 8) 4% M 3: 4.5% M 4 (Densiphalt 12) 4% M 4: 4.5% and M 5 (Setyawan) 4% were found to satisfy all the limiting criteria imposed on various test parameters. It was shown, using a suitable example of six different cases, that the final rank based on the proposed methodology is a function of the priority given to the type of test by the designer. Out of the eight mixes, meeting all the desirable properties, M 4: 4% M 1: 4% and M 4: 4.5% were ranked highest and are recommended to be used for semi flexible pavement.
Hunter Covey Interactions Using Pointing Bird Dogs
Year: 2017

Hunting northern bobwhites (Colinus virginianus) with pointing dogs is a long standing tradition in the Southeastern United States. Despite this rich hunting legacy, a paucity of empirical, behavioral information exists on the interaction between bobwhite coveys, pointing dogs and humans. As such, the efficiency of using pointing dogs to locate bobwhite coveys or an individual covey's behavioral response to hunting is poorly understood. During 2013 2015, we conducted hunts (n1/4192) by mode of foot on Tall Timbers Research Station (TTRS, ~1,570 ha) in Leon County, Florida and horseback on a private property (2,023 ha) in Georgetown County, South Carolina. We captured bobwhites (n1/4 741) and fitted them with activity switch enabled radio transmitters, and we tracked coveys prior to, during and after hunts. We used 2 types of global positioning system (GPS) units to collect route data from dogs and hunters (via horseback or foot) We recorded encounter information (e.g. behavior, encounter type such as covey point or wild flush) in the field using a pre configured application on an iPad and linked spatial data using a geographic information system (i.e. ArcGIS) On average, 52% of all radio tagged coveys were available (within a dog's scent radius) during a hunt of which 73% were detected by pointing bird dogs. The overall probability of observing a covey on a hunt was 38% suggesting that most coveys within a hunting course go undetected. Vegetation density did not appear to be an impediment to bobwhite mobility or an important factor in detection of coveys by bird dogs. The potential reduction or manipulation of existing habitats may help to constrain where bobwhite coveys can escape to and covertly improve hunting efficiency. Furthermore, our results imply that a relatively high bobwhite density is required for sportsman to frequently encounter bobwhite coveys during a hunt.  Hunter covey interactions using pointing bird dogs. National Quail Symposium Proceedings 8:264.
Genetic regulation of membrane trafficking, exosome secretion, growth and dense core granule biogenesis in the Drosophila accessory gland
Year: 2018

Many epithelial cell types, particularly those in glands, employ distinct regulated and constitutive secretory pathways to perform their functions. Understanding how membrane trafficking and secretion are coupled to other cellular functions like growth, which is also thought to be linked to secretory and endocytic functions, is fundamental to cell biology and to certain pathologies such as diabetes and cancer. During my DPhil, I have been developing the secondary cells (SCs) which reside in the male Drosophila accessory gland, as a new in vivo system to dissect out the genetic regulation of membrane trafficking and its link to secretion and cell growth. SCs are epithelial cells located at the distal tip of each accessory gland. They contain a number of large intracellular compartments >5 mm diameter) allowing membrane trafficking to be easily visualised. This in turn makes scoring specific trafficking phenotypes in normal and genetically manipulated cells very reliable. Using imaging of both live and fixed cells, I show that SC compartments have specific Rab signatures characteristic of both secretory and endolysosomal compartments. The late endosomal and lysosomal marker, Rab7, is predominantly found on acidic compartments whilst Rab11, a slow recycling endosomal marker, is localised on the membranes of about ten non acidic compartments containing dense core granules (DCGs) and the protease angiotensin converting enzyme (ANCE) I show that Rab GTPases regulate the maturation and number of compartments, the secretion of intraluminal vesicles, called exosomes, and the growth of SCs. Rab11 and Rab7 appear to control the balance between large non acidic and acidic compartments in SCs, while Rab35, which coats smaller fast recycling endosomal compartments ~1 mm) also controls the number of these large compartments. BMP signalling regulates SC growth and membrane trafficking. Using knockdown experiments, I show that all components associated with BMP signalling are involved in this process. Interestingly, I demonstrate that as well as ANCE, Dpp, the fly homologue of mammalian BMP 2 and 4, is localised inside DCGs of SCs. Dpp is the predominant ligand controlling SC growth and exosome secretion via autocrine and paracrine mechanisms. Interestingly, mating elicits the secretion of DCG compartments (DCGs) a process dependent on the Synaptosomal associated protein 24kDa, SNAP24. BMP pathway activation is also increased in a Dpp dependent fashion, presumably as a result of Dpp secretion, and it accelerates the rate of DCG biogenesis. I propose a model in which Dpp regulates the replenishment of DCGs in response to release via an autocrine feedback loop.
The Composition of Nitrogen Fixing Microorganisms Correlates With Soil Nitrogen Content During Reforestation: A Comparison Between Legume and Non legume Plantations
Venue: Front. Microbiol.
Year: 2019

Numerous reforestation projects have been conducted to improve soil fertility in degraded forests, often causing alterations to the soil microbial communities. However, it remains unclear whether microbial functional groups are affected and how these groups correlate with an increase in the nutrient contents during reforestation. We investigated the abundance and composition of free living nitrogen fixing microorganisms (diazotrophs) by quantifying and sequencing the marker gene nifH in bulk soils from five reforestation approaches, including legumes and non legumes, in subtropical China. The relationships between diazotrophic community attributes and soil nitrogen (N) content [NO3 NH4+ and microbial biomass N (MBN) were examined under various approaches. Abundance of diazotrophs was highest in the native tree plantation (Schima spp. and Michelia macclurei) and Acacia mangium monoculture (AM) and lowest in the Pinus massoniana monoculture. The diazotrophic abundance correlated positively with soil organic matter and water content while there was a negative correlation to pH. The composition of diazotrophic community differed significantly among the five reforestation approaches examined and was closely correlated with variations in soil pH, NH4+ and water content. Diazotrophic community composition was closely related to soil NH4+ content, whereas abundance was not. The AM contained higher NH4+ NO3 and MBN contents than the other reforestation approaches, which may be associated with the indicator species of diazotrophs (Actinobacteria, Proteobacteria, and Firmicutes) However, there were more indicator species of Proteobacteria in the mixed Acacia plantation (Acacia mangium and Acacia crassicarpa) than in AM, which might have contributed to the remarkedly lower N content compared to AM. Overall, the soil N content under reforestation appeared to be more related to the composition of diazotroph community than to the abundance of diazotrophs.
Construction and International Popularization of Digital Platform for Chinese Traditional Furniture Culture
Venue: 2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
Year: 2016

In order to assist the international popularization of Chinese traditional furniture culture, digital technology is introduced into cultural inheritance of traditional furniture. In this paper, it analyzes the database construction hierarchy of Chinese traditional furniture culture, and the digital conversion means, and thus to build modules of digital platform for Chinese traditional furniture culture. It proposes the methods and means to internationally popularize Chinese traditional furniture culture, based on digital platform, from the perspectives of user perception, cognition, and recognition.
Intelligente Steuerung Zur Umsetzung von Ansatzen smarter Stadte und Regionen
Year: 2019

Die Digitalisierung ermoglicht neue Formen der Koordination und Bereitstellung von offentlichen Dienstleistungen. Als Smart City wird eine Stadt bezeichnet, in der digitale Informations und Kommunikationstechnologie in ganz unterschiedlichen Bereichen eingesetzt wird. Die behauptete ,Intelligenz" dieser Losungen bezieht sich dabei nicht allein auf den Einsatz von Technologie, sondern auf die Annahme, dass damit auch eine Verbesserung von Prozessen und Produkten einhergeht. Allerdings sind die realen Wirkungen derzeit noch nicht vollumfanglich erfassbar, da sich viele der neuartigen Losungen erst im Erprobungsstadium befinden. Insbesondere in kleineren Stadten sowie im regionalen Kontext sind die notwendigen Voraussetzungen in Hinblick auf notwendige Infrastrukturen oder personelle Ressourcen zudem nicht uberall gegeben.
Determinacion de niveles de contaminacion del agua a partir de tecnicas de analisis multivariable
Venue: Publicaciones e Investigacion
Year: 2019

El presente estudio tiene como objeto, analizar de manera multivariable datos fisicoquimicos y microbiologicos de las aguas provenientes de las quebradas La Colosa y La Arenosa ubicadas en el Municipio de Cajamarca, Departamento del Tolima (Colombia) como herramienta para determinar las dimensiones de la contaminacion de dichos cuerpos de agua. La investigacion se inicia de tipo descriptiva; sin embargo se termina como descriptiva correlativa, debido a que se describen los resultados de informacion secundaria, se calculan los indices de contaminacion del agua y se aplican tecnicas de analisis multivariable, posteriormente se correlacionan los indices de contaminacion con los resultados obtenidos con las tecnicas de conglomerados y analisis factorial; permitiendo comprobar que las tecnicas estadisticas seleccionadas son aplicables como herramienta para determinar los niveles la contaminacion de cuerpos de agua. Lo anterior sustentado en la similitud obtenida en los resultados del calculo de indices de contaminacion y las tecnicas de analisis multivariable empleadas.
What causes the adoption failure of service robots? a case of Henn na hotel in japan
Venue: UbiComp/ISWC Adjunct
Year: 2019

With the emergence of AI powered products and services, the hospitality industry has started to adopt service robots to transform the guest experience. Despite this growing interest, Henn na Hotel, the world's first robot hotel, recently announced to abandon half of its robots. This study aims to unveil factors leading to the adoption failure of service robots in the hospitality context using Henn na Hotel as the case study. Through mining online guest reviews from four different leading online booking sites, we conducted thematic content analysis on a total of 250 negative online reviews. A total of six themes emerged from our data (e.g. human intervention, usefulness, embodiment) illustrating various factors resulting in the adoption failure. Based on this, we come up with six design implications for future researchers and designers to re think about the interaction process between human and robots, as well as how service robots could be better designed and used in hospitality settings to fulfill guest needs.
EcoMark 2.0: empowering eco routing with vehicular environmental models and actual vehicle fuel consumption data
Venue: GeoInformatica
Year: 2014

Eco routing is a simple yet effective approach to substantially reducing the environmental impact, e.g. fuel consumption and greenhouse gas (GHG) emissions, of vehicular transportation. Eco routing relies on the ability to reliably quantify the environmental impact of vehicles as they travel in a spatial network. The procedure of quantifying such vehicular impact for road segments of a spatial network is called eco weight assignment. EcoMark 2.0 proposes a general framework for eco weight assignment to enable eco routing. It studies the abilities of six instantaneous and five aggregated models to estimating vehicular environmental impact. In doing so, it utilizes travel information derived from GPS trajectories (i.e. velocities and accelerations) and actual fuel consumption data obtained from vehicles. The framework covers analyses of actual fuel consumption, impact model calibration, and experiments for assessing the utility of the impact models in assigning eco weights. The application of EcoMark 2.0 indicates that the instantaneous model EMIT and the aggregated model SIDRA Running are suitable for assigning eco weights under varying circumstances. In contrast, other instantaneous models should not be used for assigning eco weights, and other aggregated models can be used for assigning eco weights under certain circumstances.
Doping Effect of SiC over Graphene on Dry Sliding Wear Behaviour of Mg/SiC@r GO MMCs and its Surface Characterization
Venue: Silicon
Year: 2018

In this research, solvent based powder metallurgy is used to develop Silicon Carbide (SiC) doped reduced Graphene Oxide(r GO) reinforced magnesium composite. SiC was doped with r GO with varying wt.  by adopting hydrothermal method. Influence of SiC doping over r GO in wear resistance of developed composite was investigated by pin on disc method. Taguchi based Artificial neural network (ANN) was used to attain optimal wear parameter and to study the influence of wear parameter by developing a mathematical model. From ANOVA results it has been observed that wt. of reinforcement play an important role in governing the wear loss of fabricated MMC. The developed ANN model exhibits accuracy of about 99.9% when subjected to predict the wear loss. Formation of tribolayer and plastic deformation were notified from worn surface morphology, thus evidencing for the occurrence of delamination and oxidation wear.
Study on the Screw Rotor Profile of Non Leakage Dry Screw Vacuum Pump
Year: 2013

Through mathematical derivation based on screw engagement theory, the complete equations of the rotor profile with single thread, fixed pitch screws, trapezium and concave tooth surface were given. The end face profile of the pair screw rotor is conjugate and identical. The pair screw rotor form a meshing relationship by left hand and right hand. Finally, through modeling and simulation of meshing process by PRO/ENGINEER software, the profile equation is proved to be correct, the meshing line is completed, and operating the tooth surface interference does not occur in the course of meshing process.
PERBANDINGAN METODE ANALISIS DISKRIMINAN, NEURAL NETWORK, DISKRIMINAN KERNEL, REGRESI LOGISTIC, MARS UNTUK DATA BANGKITAN (KOMBINASI VARIANS, OVERLAP DAN KORELASI)
Venue: MEDIA BINA ILMIAH
Year: 2019

Metode untuk pengklasifikasian data diantaranya menggunakan analisis diskriminan, analisis diskriminan kernel, analisis regresi logistik, neural network, dan MARS. Secara keseluruhan masing masing metode jika diterapkan pada data mempunyai kelebihan maupun kekurangan. Pada pengelompokan data iris virginica dan vercicolor, metode MARS dan NN FeedForward paling baik digunakan. Sedangkan pada pengelompokan data iris setosa dan vercicolor, metode Analisis Diskriminan, NN RBF dan NN FeedForward adalah metode yang paling baik digunakan dalam pengelompokan. Namun berbeda dengan hasil analisis data simulasi yang dibangkitkan melalui Minitab, metode MARS adalah satu satunya metode yang paling baik digunakan untuk data simulasi karena mempunyai rata rata ketepatan klasifikasi yang paling besar diantara metode lainnya.