nils-herrmann/clean_scirepeval huggingface dataset:
Mandarin irrigation scheduling by means of frequency domain reflectometry soil moisture monitoring
Year: 2020

The accurate estimation of plant water needs is the first step for achieving high crop water productivity. The main objective of the work was to develop an irrigation scheduling procedure for mandarin orchards under Mediterranean conditions based on replacing the amount of consumed water using reference values of soil moisture according to different phenological periods. The proposed methodology includes a definition part where the threshold values were established relating the trees' stem water potential and the volumetric soil water content measured with Frequency Domain Reflectometry probes. A second part includes the steps for standardizing measurements from capacitance probes by using the LEACHM hydrological simulation model to take into account the sensor to sensor variations. Finally, an extrapolation procedure based on soil water retention curves was used for adapting critical soil water content thresholds to different soil conditions. Field evaluations were made in a citrus orchard located in eastern Spain during two seasons. Standardize critical soil water contents were: i) 24 vol. for post harvest, bloom fruit set and phase III of fruit growth; ii) 27 vol. for phase I of fruit growth, and iii) 29 vol. for phase II of fruit growth with average daily air vapour pressure deficit values ranging between 0.2 0.4; 0.9 1.1 and 1.1 1.3 kPa, respectively. When implemented in the orchard, the sensor based strategy resulted in water saving of 26 respect to a control treatment, irrigated using the standard FAO 56 approach, without significant differences in yield and increasing the crop water productivity by 33 In conclusion, we suggest that the determination and use of the critical soil water content is a useful tool for scheduling irrigation. The proposed standardization and extrapolation methodology allows the irrigation strategy to be applied to other mandarin orchards under similar climatic conditions.
Gemangiomy u detei rannego vozrasta (obzor literatury: po istochnikam: www. Clinicalkey. Com)
Year: 2015

In Revue articles on sources: www.clinicalkey.com most complete data provides an overview of the current literature on morphology, diagnosis and treatment of hemangiomas in infants. Showing trends to achieve the maximum effect of the treatment, the main advantages and disadvantages of systemic therapy and local treatment with the issues of surgical correction, application kortikosteroydov, laser therapy and others.
From Sequential Algorithm Selection to Parallel Portfolio Selection
Venue: LION
Year: 2015

In view of the increasing importance of hardware parallelism, a natural extension of per instance algorithm selection is to select a set of algorithms to be run in parallel on a given problem instance, based on features of that instance. Here, we explore how existing algorithm selection techniques can be effectively parallelized. To this end, we leverage the machine learning models used by existing sequential algorithm selectors, such as 3S, ISAC, SATzilla and ME ASP, and modify their selection procedures to produce a ranking of the given candidate algorithms; we then select the top n algorithms under this ranking to be run in parallel on n processing units. Furthermore, we adapt the pre solving schedules obtained by aspeed to be effective in a parallel setting with different time budgets for each processing unit. Our empirical results demonstrate that, using 4 processing units, the best of our methods achieves a 12 fold average speedup over the best single solver on a broad set of challenging scenarios from the algorithm selection library.
Phase transforming cellular materials
Year: 2015

We extend the notion of phase transformations to periodic cellular materials by introducing materials whose unit cells have multiple stable configurations. Each stable configuration of the unit cell corresponds to a stable phase, and transitions between these phases are regarded as phase transformations of the cellular material. We present a cellular material that exhibits phase transformation, identify key elements of the unit cell geometry that yield its mechanical behavior and introduce an analytical model that describes its constitutive behavior. Cellular materials that exhibit phase transformations show hysteresis and their response is characterized by a long serrated loading and unloading plateaus, making these materials attractive for energy absorption applications. While these phase transforming cellular materials offer an energy absorption performance that is comparable to metal and polymeric honeycombs, the key difference is that the deformation on these materials is fully recoverable.
Qualidade de vida, aspectos sociodemograficos e de sexualidade de pessoas vivendo com HIV/AIDS
Year: 2011

Estudo transversal realizado em dois servicos publicos de saude de um municipio paulista com objetivo de avaliar a Qualidade de Vida de individuos com HIV/aids e sua relacao com fatores sociodemograficos e referentes a sexualidade, utilizando se o HIV/aids Targeted Quality of Life. Dos 228 participantes, 122 sao homens e 106 mulheres, com idade media de 39 anos. Diferentes variaveis estiveram associadas com piores escores de qualidade de vida tais como as categorias ser analfabeto, menor escolaridade e nao ter renda ou vinculo empregaticio. Com referencia as variaveis relacionadas a sexualidade, os piores escores de qualidade de vida estiveram associados com nao ter vida sexual ativa e ter parceiro com HIV/aids. Viver com o HIV/aids repercute em varios dominios da qualidade de vida, requerendo para a sua avaliacao e intervencao, melhor conhecimento e compreensao das diferentes variaveis que podem ter impacto negativo na qualidade de vida destes individuos.
Life Expectancy and Voting Patterns in 2018 US House of Representative Elections
Venue: medRxiv
Year: 2020

In the 2016 U.S. Presidential election, voters in communities with recent stagnation or decline in life expectancy were more likely to vote for the Republican candidate than in prior Presidential elections. We aimed to assess the association between change in life expectancy and voting patterns in 2018 U.S. House of Representative elections.  With data on county level life expectancy from the Institute for Health Metrics and Evaluation and voting data from Harvard Dataverse, we used weighted multivariable linear regression to estimate the association between the change in life expectancy from 1980 to 2014 and the proportion of votes for the Republican candidate in the 2018 House election.  Among 3,107 U.S counties, change in life expectancy at the county level was negatively associated with Republican share of the vote in 2018 House of Representative elections (parameter estimate 7.3, 95% confidence interval, 8.1 to 6.5) With the inclusion of state, sociodemographic, and economic variables in the model, the association was attenuated and no longer statistically significant (parameter estimate 0.9; 95% CI, 2.2 to 0.4)  Counties with a less positive trajectory in life expectancy were more likely to vote for Republican candidates in 2018 U.S. House of Representatives elections, but the association was mediated by demographic, social and economic factors.
HEART pathway and Emergency Department Assessment of Chest Pain Score Accelerated Diagnostic Protocol application in a local emergency department of Hong Kong: An external prospective validation study
Year: 2020

The conventional chest pain protocol using thrombolysis in myocardial infarction score as the risk stratifying tool may not perform well in the emergency department in which a mix of low and high risk patients are encountered. Newer chest pain scores such as HEART pathway and Emergency Department Assessment of Chest  are found to have high sensitivity with good specificity.  This study aims to validate and compare two chest pain scores: HEART pathway and EDACS ADP in the Accident and Emergency Department of a local hospital in Hong Kong.  A prospective cohort study was carried out at the Accident and Emergency Department of Kwong Wah Hospital in Hong Kong from 1 June 2016 to 31 May 2017. Patients 18 years old with chest pain lasting 5 min or more who were observed with chest pain protocol on observation ward were recruited.  A total of 238 patients were recruited; 231 eligible patients completed follow up. There were five patients with major adverse cardiac events in 30 days of follow up. The sensitivity, specificity, and negative predictive values of HEART pathway and EDACS ADP were 100% 74.3% 100% and 100% 73.5.0% and 100% respectively. Both scores had almost the same performance in terms of major adverse cardiac events at 30 days (area under the curve 0.87)  Our study showed both EDACS ADP (modified) and HEART pathway achieved high sensitivity ~100% for detecting major adverse cardiac events in 30 days while being able to discharge more than 70% of patients as low risk for early discharge.
DeLTa: Deep local pattern representation for time series clustering and classification using visual perception
Venue: Knowl. Based Syst.
Year: 2021

Time series analysis is of enormous significance to a multitude of domains such as Internet of Things (IoT) prognostics, health, and robotics. Machine learning tasks require time series data in the form of features for the application of (un)supervised algorithms. The existing feature representation methods lack generality and are domain specific, especially those based on supervised learning. In this paper, we propose a novel time series feature representation method based on feature transformation and feature learning. The feature transformation process is inspired by the human cognitive thinking used in visual recognition, where the 1 D time series data is transformed into a 2 D image dataset. A feature set is learned by imposing a pre trained convolutional neural network on the transformed search space. This generates two complementary high dimensional feature sets: (1) one with the matching of the overall 2 D layout of the time series; and (2) another with matching based on the activation of the local 2 D patterns irrespective of the overall layout. Empirical analysis on a large number of benchmark datasets shows the advantage of the domain agnostic nature of DeLTa in achieving higher accuracy in comparison to relevant benchmarking methods. Source code is publicly available at https:/github.com/technophyte/DeLTa
Accelerated carbonation of biochar reinforced cement fly ash composites: Enhancing and sequestering CO2 in building materials
Year: 2020

Biochar produced from the pyrolysis of corn stover biomass was added as a filler material in the cement fly ash blocks as 2% 4% 6% and 8% of total weight. The resultant blocks were subjected to two hours mineral carbonation at (3 day) after demoulding to enhance the CO2 uptake and sequester carbon in the blocks. Along with that, 28 days compressive strength of un carbonated blocks was determined to gauge the effect of biochar as the filler material on the strength of the specimens. Results showed that there was an enhanced CO2 uptake on 3 days compressive strength and biochar dosage was optimised at 4% and 6% depending on the chosen mix. The 28 days compressive strength of un carbonated blocks showed that there was an increase in the strength as biochar addition increased to a certain extent, however, thereafter it decreased with the further addition of biochar.
An Intelligent Wellness Keeper for Food Nutrition with Graphical Icons
Year: 2013

As aging trend and high standard of living in our contemporary society have been proliferating, it is critical for people to sustain healthy life during the whole lifetime. People become more and more interested in wellness health in which they want to in advance prevent illness as well as to care about health before some illness occurs. In this paper, we present a user centered method rather than a medical expert that allows users to monitor some foods in real time by providing quantity of calorie, protein, fat, sodium and so on that the foods contain. A user simply takes an image of a pizza. The algorithm extracts features of the pizza and matches to figure out nutrition of it using SIFT. In addition, a user friendly interface can also be considered by displaying iconic metaphor rather than text oriented information. The matching method can be also extended to a food rendering task if some rendering features for the matched food such as absorption, scattering and reflectance coefficients are provided. We have carried out some experiments with sets of various pizzas to validate the method as well.
Drone Hacking with Raspberry Pi 3 and WiFi Pineapple: Security and Privacy Threats for the Internet of Things
Venue: 2019 1st International Conference on Unmanned Vehicle Systems Oman (UVS)
Year: 2019

The use of Internet of Things (IoT) technology is growing exponentially as more consumers and businesses acknowledge the benefits offered by the intelligent and smart devices. Drone technology is a rapidly emerging sector within the IoT and the risk of hacking could not only cause a data breach, it could also pose a major risk to the public safety. Thanks to their versatile applications and access to real time data, commercial drones are used across a wide variety of smart city applications. However, as with many IoT devices, security is often an afterthought, leaving many drones vulnerable to hackers. This paper investigates the current state of drone security and demonstrates a set of WiFi enabled drone vulnerabilities. Five different types of attacks, together with the potential of automation of attacks, was identified and applied to two different types of commercially available drones. The communication links are investigated for the attacks, i.e. Denial of Service, Deauthentication Methods, Man in the Middle, Unauthorised Root Access and Packet Spoofing. Lastly, the unauthorised root access was automated through the use of a Raspberry Pi 3 and WiFi Pineapple. Furthermore, we outlined the methodology for each attack, and the experimental part outlines the findings and processes of the attacks. Finally, the paper addresses the current state of drone security, management, control, resilience, security, and privacy concerns.
CHANGE AT DISTANCE EDUCATION, WHAT KIND OF RESISTANCE? WHAT IMPROVEMENTS?
Year: 2020

The study is aimed at training sports technicians in the Spanish state. Currently, most of them are in transitory period. For research, the Theory of Resistance in Innovation has been considered. This theory proposes a functional dimension and a psychological dimension with five factors: (Use, value of the product and risks involved) and (elements associated with traditional beliefs and those related to the image) The context studied was the courses taken by the Royal Spanish Skating Federation. The methodology followed in this research is empirical analytical with a non experimental approach. It will be basically a descriptive investigation. For this, an ad hoc instrument was constructed with quantitative and qualitative response items. Among the results, it is worth highlighting the significant differences existing in students with experience in distance learning in the variable of acceptance of new technologies. In the qualitative part, it is recognized that the online mode allows to apply the knowledge immediately although there are difficulties during the first weeks. The creation of the figure of a tutor is proposed, which will catalyze the introduction to students' courses, facilitating the use of the platform before the start of the course.
The Biology of Lactoferrin, an Iron Binding Protein That Can Help Defend Against Viruses and Bacteria
Venue: Frontiers in Immunology
Year: 2020

Lactoferrin is a nutrient classically found in mammalian milk. It binds iron and is transferred via a variety of receptors into and between cells, serum, bile, and cerebrospinal fluid. It has important immunological properties, and is both antibacterial and antiviral. In particular, there is evidence that it can bind to at least some of the receptors used by coronaviruses and thereby block their entry. Of importance are Heparan Sulfate Proteoglycans (HSPGs) and the host receptor angiotensin converting enzyme 2 (ACE2) as based on other activities lactoferrin might prevent severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) from attaching to the host cells. Lactoferrin (and more specifically enteric coated LF because of increased bioavailability) may consequently be of preventive and therapeutic value during the present COVID 19 pandemic.
High dimensional characterization of post acute sequalae of COVID 19.
Venue: Nature
Year: 2021

The acute clinical manifestations of COVID 19 are well characterized1,2; however, its post acute sequalae have not been comprehensively described. Here, we use the national healthcare databases of the US Department of Veterans Affairs to systematically and comprehensively identify 6 month incident sequalae including diagnoses, medication use, and laboratory abnormalities in 30 day survivors of COVID 19. We show that beyond the first 30 days of illness, people with COVID 19 exhibit higher risk of death and health resource utilization. Our high dimensional approach identifies incident sequalae in the respiratory system and several others including nervous system and neurocognitive disorders, mental health disorders, metabolic disorders, cardiovascular disorders, gastrointestinal disorders, malaise, fatigue, musculoskeletal pain, and anemia. We show increased incident use of several therapeutics including pain medications (opioids and non opioids) antidepressants, anxiolytics, antihypertensives, and oral hypoglycemics and evidence of laboratory abnormalities in multiple organ systems. Analysis of an array of pre specified outcomes reveals a risk gradient that increased across severity of the acute COVID 19 infection (non hospitalized, hospitalized, admitted to intensive care) The findings show that beyond the acute illness, substantial burden of health loss spanning pulmonary and several extrapulmonary organ systems is experienced by COVID 19 survivors. The results provide a roadmap to inform health system planning and development of multidisciplinary care strategies to reduce chronic health loss among COVID 19 survivors.
New advances on the Aurignacian in the central Iberian Mediterranean basin
Year: 2021

This study aims to obtain a chronological and cultural framework of the Evolved Aurignacian in the central Iberian Mediterranean basin and find agreement between this framework and other sequences of the Iberian southeast. Over the last few years, there has been remarkable progress in the research of the Evolved Aurignacian sites in the Valencian area, making a review of the main characteristics of the technocomplex on a regional scale necessary. The recent fieldwork carried out in Cova de les Malladetes (Valencia) and in Cova de les Cendres (Alicante) have been key to understanding the lithic, osseous and ornament assemblages ascribed to the Evolved Aurignacian. Several Bayesian modelled ages have been constructed from the large dataset of chronological dates obtained at Malladetes and Cendres, as well as in other sites. The Bayesian models have allowed us to chronologically place the characteristics of the analysed assemblages. The present research supports the importance of the Aurignacian as the first technocomplex of the Upper Palaeolithic in this area of the Iberian Peninsula.
Reliability of large sized FPD panel handling robot
Year: 2008

For large sized glass handling robot, reliability improving activity increases the importance. The activity is divided into two phases of design phase and line usage phase. At the design phase, accurate simulation for keeping the limitation of material or gear strength and accurate torque control are the key. At the line usage phase, supporting tool for preventive maintenance activity is the key. As the maintenance work itself is a hard work for large sized robot, a preventive maintenance is useful.
What do urologists think patients need to know when starting on androgen deprivation therapy? The perspective from Canada versus countries with lower gross domestic product
Venue: Translational andrology and urology
Year: 2016

Androgen deprivation therapy (ADT) side effects are numerous and negatively impact prostate cancer patients' quality of life. There is considerable discrepancy though among Canadian urologists regarding what ADT side effects and side effect management strategies. Little is known about global differences in ADT patient education.  International respondents were recruited via online posting and at an international urology conference. Hypotheses suggest that economic and cultural differences influence patient education practices; therefore, international respondents were divided into 3 categories (high, medium, and low gross domestic product)  No differences were found between responses from Canadian urologists and high GDP countries. Compared to responses from low GDP countries, Canadian urologists are more likely to endorse informing patients about: osteoporosis, loss of muscle mass, weight gain, fatigue/sleep disturbance, relationship changes, cognitive changes, and loss of body hair. Infertility was the only side effect more often disclosed by urologists in low GDP counties. Recommended management strategies for hot flashes are more likely to be pharmaceutical in Canada, and behavioral in low GDP countries. Management strategies for gynecomastia are emphasized more in low GDP countries. Physical exercise is endorsed consistently more often by Canadian urologists.  ADT educational practices vary greatly between Canada and lower GDP countries. Factors that could contribute to differences include economics (e.g. ADT drug costs) differences in side effect presentation due to different ADT drugs used, racial differences in perceived side effect burden, disease status at ADT commencement, and cultural differences in patient physician shared decision making.
Learning About Conflict and Conflict Management Through Drama in Nursing Education.
Venue: The Journal of nursing education
Year: 2018

In the health care settings in which nurses work, involvement in some form of conflict is inevitable. The ability to manage conflicts is therefore necessary for nursing students to learn during their education.  A qualitative analysis of 43 written group assignments was undertaken using a content analysis approach.  Three main categories emerged in the analysis to approach and integrate with the theoretical content, to step back and get an overview, and to concretize and practice together with the overall theme, to learn by oscillating between closeness and distance.  Learning about conflict and conflict management through drama enables nursing students to form new knowledge by oscillating between closeness and distance, to engage in both the fictional world and the real world at the same time. This helps students to form a personal understanding of theoretical concepts and a readiness about how to manage future conflicts.
Learning Bayesian networks with low inference complexity
Year: 2016

One of the main research topics in machine learning nowadays is the improvement of the inference and learning processes in probabilistic graphical models. Traditionally, inference and learning have been treated separately, but given that the structure of the model conditions the inference complexity, most learning methods will sometimes produce inefficient inference models. In this paper we propose a framework for learning low inference complexity Bayesian networks. For that, we use a representation of the network factorization that allows efficiently evaluating an upper bound in the inference complexity of each model during the learning process. Experimental results show that the proposed methods obtain tractable models that improve the accuracy of the predictions provided by approximate inference in models obtained with a well known Bayesian network learner.