nils-herrmann/clean_scirepeval huggingface dataset:
HUBUNGAN KARAKTERISTIK PERAWAT DENGAN PRAKTIK KOMUNIKASI TERAPEUTIK PERAWAT KLIEN DI PUSKESMAS MALILIKAB. LUWU TIMUR TAHUN 2016
Year: 2020

Nurses are required to carry out therapeutic communication in performing nursing actions so that patients or their families know what actions will be performed on patients by means of nurses must introduce themselves, explain the actions to be taken, make a time contract to take further nursing actions. Analyzing the relationship of what factors are related to the practice of therapeutic communication of the nurse client in the Malili District Health Center. East Luwu. The design in this study is descriptive correlation with cross sectional design. Data collection methods using data questionnaires were analyzed by Chi Square Statistical Test. The results of the study used the Chi Square test and the calculated value for the relationship between nurses' age and therapeutic communication practices obtained p value 0.702 greater than p 0.05, gender with therapeutic communication obtained p value 0.425, education with therapeutic communication obtained p value 0.259 and the role of therapeutic communication obtained p value 0.702 or there is no relationship on the factors of age, sex, education and the role of therapeutic communication. Research suggestions to nurses to apply therapeutic and caring behaviors so that nursing care services can be carried out better and more professionally.
Morphological and anatomical studies on some taxa of family Apocynaceae
Venue: Al Azhar Journal of Agricultural Research
Year: 2019

Apocynaceae is one of the important families that is present all over the world. The aim of this study is to provide some anatomical features of 7 species that represent 7 genera belonging to 4 subfamilies (Apocynoideae, Asclepiadoideae, Periplocoideae and Rauvolfioideae) related to Apocynaceae. The species samples were collected from different areas in Egypt. The study was focus on the morphological and anatomical characters of stems and leaves. The results were recorded in the form of comparison between the examined plants. Most of these plants are perennial herbs as in Cynanchum acutum L. but some are shrubs as in Carissa spinarum L. and trees as in Alstoniascholar is R.Br. The stem is woody in some of the investigated plants as in Alstoniascholaris R.Br. and succulent in some plants as in Pachypodium lamerei. The leaves are simple, spirally, opposite and opposite decussate. Leaves shape are ovate, elliptic, oblong lanceolate or cordate with entire margin. The vascular bundles in all of the examined plants are bicollateral. From the analysis of all the available data by using the Multi Variate Statistical Package (MVSP) Program it could be stated that Apocynaceaeand Asclepiadaceae are very similar to each other which could be ranked in one large family Apocynaceae. In conclusion, we emphasize the previous recommendations to merge both Apocynaceae and Asclepiadaceae families in one large family, that is Apocynaceae.
This is different
Venue: BMJ Leader
Year: 2020

Martin Luther King Jr, in the midst of the civil rights movement, referred to the ongoing protests by noting, 'It would be fatal for the nation to overlook the urgency of the moment'.1 Broaden the context to the entire world as it faces and responds to the COVID 19 pandemic, and his words resonate today. The healthcare system and society more broadly are facing a situation with little precedent in its pace, health and economic impact, global reach and the societal distress it causes. The pandemic has escalated at breathtaking speed, leaving healthcare organisations and professionals struggling to plan, respond and cope. On 27th February 2020, the Johns Hopkins University Centre for Systems Sciences and Engineering reported 82 700 cases worldwide, most of these in China; just over 1 month later, on 1st April 2020, that number was exceeded by cases in Italy (105 792) Spain (102 136) and the USA (189 633) while the global figure stood at 873 767.2 On the same date and time, deaths worldwide numbered 43 288, with the Imperial College COVID 19 response team estimating that unmitigated, the pandemic could lead to
Arabidopsis thaliana as a model organism in systems biology
Venue: Wiley interdisciplinary reviews. Systems biology and medicine
Year: 2009

Significant progress has been made in the identification of genes and gene networks involved in key biological processes. Yet, how these genes and networks are coordinated over increasing levels of biological complexity, from cells to tissues to organs, remains unclear. To address complex biological questions, biologists are increasingly using high throughput tools and systems biology approaches to examine complex biological systems at a global scale. A system is a network of interacting and interdependent components that shape the system's unique properties. Systems biology studies the organization of system components and their interactions, with the idea that unique properties of that system can be observed only through study of the system as a whole. The application of systems biology approaches to questions in plant biology has been informative. In this review, we give examples of how systems biology is currently being used in Arabidopsis to investigate the transcriptional networks regulating root development, the metabolic response to stress, and the genetic regulation of metabolic variability. From these studies, we are beginning to obtain sufficient data to generate more accurate models for system function. Further investigation of plant systems will require data gathering from specific cells and tissues, continued improvement in metabolic technologies, and novel computational methods for data visualization and modeling.
Single Source Precursors for Lanthanide Diselenide Nanosheets
Venue: Chemistry of Materials
Year: 2019

A series of complexes of the type [Ln(Se2P(phenyl)2)3(CH3CN)x] (x 1 or 2) have been synthesized and structurally characterized for Ln La Lu (excluding Pm) The complexes are straightforward to prepare and crystallize and are soluble in solvents typically used in nanoparticle synthesis. Solution phase thermolysis of these complexes formed lanthanide diselenide or LnSe2 x nanosheets, for Ln La Ho, except Eu, which formed EuSe. By contrast, the smallest lanthanides Ln Er Lu formed Ln2Se3 nanomaterials. The lanthanide dichalcogenides are rare earth analogues of the transition metal dichalcogenides and exhibit similar properties, including small band gaps, charge density waves, antiferromagnetism, and superconductivity. The lanthanide diselenide nanomaterials exhibited highly anisotropic growth and were phase pure with the exception of CeSe2 (which also formed a cerium oxide and cerium ultraphosphate) The lateral nanosheet dimensions, based on transmission electron microscopy (TEM) range from ~50 to
Adversarial Domain Adaptation with a Domain Similarity Discriminator for Semantic Segmentation of Urban Areas
Venue: 2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018

Existing semantic segmentation models of urban areas have shown to perform well in a supervised setting. However, collecting lots of annotated images from each city to train such models is time consuming or difficult. In addition, when transferring the segmentation model from the trained city (source domain) to an unseen city (target domain) the performance will largely degrade due to the domain shift. For this reason, we propose a domain adaptation method with a domain similarity discriminator to eliminate such domain shift in the framework of adversarial learning. Contrary to the single input adversarial network, our domain similarity discriminator, which consists of a Siamese network, is able to measure the similarity of the pairwise input data. In this way, we can use more information about the pairwise input to measure the similarity between different distributions so as to address the problem of domain shift. Experimental results demonstrate that our approach outperforms the competing methods on three different cities.
Graph Theory Based Heuristic Approach for Minimum Break Point Set Determination in Large Scale Power Systems
Venue: IEEE Transactions on Power Delivery
Year: 2019

Coordination of directional relays in large scale power systems that are multi loop structured is a complicated and time consuming problem. Therefore, determination of the directional loops and the minimum break point set (MBPS) or a set close to it, which is essential to start relay coordination, is challenging. So far, several heuristics and exact methods have been proposed for the determination of the MBPS. In this paper, a new heuristic method based on a new implementation of depth first search algorithm is proposed, which considerably facilitates the detection of directional loops (if any) in the network. The proposed method is tested on a 5 bus, four IEEE and four Polish test systems. The results show the efficiency of the proposed method in finding optimal or near optimal solutions in a rational amount of time.
Specialized Reviews CHAZOP, EHAZOP, Bow Tie Analysis, Layers of Protection Analysis, Safety Integrity Level, Fishbone Diagram, and Cyber Security Vulnerability Analysis
Year: 2015

The specialized reviews of Bow Tie Analysis (BTA) Layers of Protection Analysis (LOPA) and Safety Integrity Level (SIL) which are being increasingly utilized in the industry for safety reviews, are defined and discussed in this chapter. The origin of BTAs is highlighted along with how such a review is undertaken, with a simplified diagram of its process. LOPA features are defined in order to ensure they qualify as true risk reduction applications. The description explains how probabilities are determined for the risk reduction features. For SIL reviews, the applicable standards are highlighted along with the SIL levels utilized in industry. How SIL probabilities are determined are also explained. An example of an SIL worksheet arrangement is presented. Additionally, CHAZOP (Computer Hazard and Operability Study) EHAZOP (Electrical Hazard and Operability Study) Fishbone Diagram, and Cyber Security Vulnerability Analysis are described.
Estudio neuropsicologico de la funcionalidad visual, las estrategias de aprendizaje y la ansiedad en el rendimiento academico
Year: 2018

En el contexto educativo actual, los aspectos neurosicologicos cobran gran importancia dada su repercusion en el rendimiento academico. Partiendo de esta premisa, el objetivo de esta investigacion es el estudio de la relacion entre los movimientos oculares sacadicos, las estrategias de aprendizaje y el nivel de ansiedad, asi como su in uencia sobre el rendimiento en Lengua. La muestra estaba formada por 69 alumnos de 12 15 anos, agrupados en funcion de su rendimiento. Se trata de un estudio no experimental, descriptivo, de tipo correlacional y comparacion de grupos. Por un lado, se ha encontrado una relacion inversa entre la lentitud en la lectura (prueba de movimientos sacadicos de King Devick (1976) y las estrategias de apoyo al aprendizaje medidas con la Escala ACRA (Roman y Gallego, 2008) y entre las estrategias de apoyo y el nivel de ansiedad estado, medida con el STAIC (Spielberger, Gorsuch y Lushene, 1970) Por otro lado, los alumnos con un rendimiento elevado presentan niveles inferiores de ansiedad rasgo.
The Matrix Calculus You Need For Deep Learning
Venue: ArXiv
Year: 2018

This paper is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We assume no math knowledge beyond what you learned in calculus 1, and provide links to help you refresh the necessary math where needed. Note that you do not need to understand this material before you start learning to train and use deep learning in practice; rather, this material is for those who are already familiar with the basics of neural networks, and wish to deepen their understanding of the underlying math. Don't worry if you get stuck at some point along the way just go back and reread the previous section, and try writing down and working through some examples. And if you're still stuck, we're happy to answer your questions in the Theory category at forums.fast.ai.  There is a reference section at the end of the paper summarizing all the key matrix calculus rules and terminology discussed here.
Full endoscopic Operations of the Spine in Disk Herniations and Spinal Stenosis.
Venue: Surgical technology international
Year: 2011

Degenerative constrictions of the spinal canal with compression of neural elements arise as a result of bony, disk, capsular, or ligament structures. The most frequent causes are disk herniations and spinal stenoses. The lumbar and cervical spine is the most prominent cause. After conservative treatments have been exhausted, surgical intervention may be necessary. Today, microsurgical, microscopically assisted decompression is regarded as the standard procedure for disk herniation and spinal stenosis in the lumbar region, while in the cervical spine microsurgical, microscopically assisted anterior decompression and fusion are standard. Both procedures demonstrate good clinical results but present problems associated with the operation. Decompressions in the area of the spine must be carried out under continuous visualization and must entail the possibility of adequate bone resection. Taking this into account, completely new endoscopes and instrument sets were developed for full endoscopic operations in tandem with the development of the lateral transforaminal and interlaminar approaches for the lumbar spine and the posterior and contralateral anterior approaches for the cervical spine. The possibilities and results of comparable, established standard procedures were used as a benchmark in the course of clinical validation. The development of surgically created approaches and the new rod lens endoscopes combined with appropriate instrument sets have laid the technical foundations for full endoscopic operation in the lumbar spine on all primary and recurrent disk herniations inside and outside the spinal canal and on spinal stenoses. This development has also permitted resection of soft disk herniations in the cervical spine. The use of the relevant approaches depends on anatomical and pathological inclusion and exclusion criteria. The clinical results of standard procedures are achieved, which must be regarded as a minimum criterion for the introduction of new technologies. On the basis of EBM criteria, it can be established that using the full endoscopic techniques developed, adequate decompression is achieved in the defined indications with reduced traumatization, improved visibility conditions, and positive cost benefits. Today, full endoscopic operations may be regarded as an expansion and alternative within the overall concept of spinal surgery.
Education 2.0 How has social media and Web 2.0 been integrated into medical education? A systematical literature review
Venue: GMS Zeitschrift fur medizinische Ausbildung
Year: 2013

Present day students have grown up with considerable knowledge concerning multi media. The communication modes they use are faster, more spontaneous, and independent of place and time. These new web based forms of information and communication are used by students, educators, and patients in various ways. Universities which have already used these tools report many positive effects on the learning behaviour of the students. In a systematic literature review, we summarized the manner in which the integration of Social Media and Web 2.0 into education has taken place.  A systematic literature search covering the last 5 years using MeSH terms was carried out via PubMed.  Among the 20 chosen publications, there was only one German publication. Most of the publications are from the US and Great Britain. The latest publications report on the concrete usage of the tools in education, including social networking, podcasts, blogs, wikis, YouTube, Twitter and Skype.  The integration of Web 2.0 and Social Media is the modern form of self determined learning. It stimulates reflection and actively integrates the students in the construction of their knowledge. With these new tools, the students acquire skills which they need in both their social and professional lives.
Machine learning for algorithmic trading
Year: 2020

The purpose of the study is to confirm the feasibility of using machine learning methods to predict the behavior of the foreign exchange market. The article examines the theoretical and practical aspects of the implementation of artificial neural networks in the process of Internet trading. We studied the features of constructing automated trading advisors that perform trading operations based on the forecast of neural networks in combination with indicator signals. As a result, a hybrid system has been built that has a high precision forecast and allows you to make a profit with the correct selection of parameters.
3D Printing of Polymeric Multi Layer Micro Perforated Panels for Tunable Wideband Sound Absorption
Venue: Polymers
Year: 2020

The increasing concern about noise pollution has accelerated the development of acoustic absorption and damping devices. However, conventional subtractive manufacturing can only fabricate absorption devices with simple geometric shapes that are unable to achieve high absorption coefficients in wide frequency ranges. In this paper, novel multi layer micro perforated panels (MPPs) with tunable wideband absorption are designed and fabricated by 3D printing or additive manufacturing. Selective laser sintering (SLS) which is an advanced powder based 3D printing technique, is newly introduced for MPP manufacturing with polyamide 12 as the feedstock. The acoustic performances of the MPPs are investigated by theoretical, numerical, and experimental methods. The results reveal that the absorption frequency bandwidths of the structures are wider than those of conventional single layer MPPs, while the absorption coefficients remain comparable or even higher. The frequency ranges can be tuned by varying the air gap distances and the inter layer distances. Furthermore, an optimization method is introduced for structural designs of MPPs with the most effective sound absorption performances in the target frequency ranges. This study reveals the potential of 3D printing to fabricate acoustic devices with effective tunable sound absorption behaviors and provides an optimization method for future structural design of the wideband sound absorption devices.
Distinct medial temporal networks encode surprise during motivation by reward versus punishment
Venue: Neurobiology of Learning and Memory
Year: 2016

Adaptive motivated behavior requires predictive internal representations of the environment, and surprising events are indications for encoding new representations of the environment. The medial temporal lobe memory system, including the hippocampus and surrounding cortex, encodes surprising events and is influenced by motivational state. Because behavior reflects the goals of an individual, we investigated whether motivational valence (i.e. pursuing rewards versus avoiding punishments) also impacts neural and mnemonic encoding of surprising events. During functional magnetic resonance imaging (fMRI) participants encountered perceptually unexpected events either during the pursuit of rewards or avoidance of punishments. Despite similar levels of motivation across groups, reward and punishment facilitated the processing of surprising events in different medial temporal lobe regions. Whereas during reward motivation, perceptual surprises enhanced activation in the hippocampus, during punishment motivation surprises instead enhanced activation in parahippocampal cortex. Further, we found that reward motivation facilitated hippocampal coupling with ventromedial PFC, whereas punishment motivation facilitated parahippocampal cortical coupling with orbitofrontal cortex. Behaviorally, post scan testing revealed that reward, but not punishment, motivation resulted in greater memory selectivity for surprising events encountered during goal pursuit. Together these findings demonstrate that neuromodulatory systems engaged by anticipation of reward and punishment target separate components of the medial temporal lobe, modulating medial temporal lobe sensitivity and connectivity. Thus, reward and punishment motivation yield distinct neural contexts for learning, with distinct consequences for how surprises are incorporated into predictive mnemonic models of the environment.
Proposed Epidemiological Models and Methods to Improve COVID 19 Contact Tracing and Outbreak Prediction
Year: 2020

In the case of pandemics such as the current COVID 19 pandemic disease spreads rapidly and testing resources are limited. Contact tracing provides an opportunity to fill some of the gaps left by testing limitations. Individuals with confirmed and presumed or suspected positive cases can be identified via user input of testing status or symptoms, as well as by other data sources. The location and movement of these individuals can then be traced. This location information can be used to create a 4D model of locations over time, and the data can be input into a network model to identify other individuals who were likely exposed as well as identify where or among which groups the next outbreaks are likely to occur. This paper describes a few central models based in epidemiology, graph theory, and population biology that can be used, along with location, case, and symptomatology data to create an effective contact tracing algorithm. It then proposes a SEIR model for tracing infections through a network and discusses limitations and options for further fine tuning. Such an algorithm has immense potential to drastically improve epidemiological studies, reduce cases, and prioritize interventions during COVID 19 and future epidemics. The algorithm will be implemented via the Safetrace API, part of the MutualAid.world project.
Automatic extraction and synthesis of regular repeatable patterns
Venue: Comput. Graph.
Year: 2019

Textures made of regular repeating patterns are ubiquitous in the real world, most notably in man made environments. They are defined by the presence of a repeating element, which can show a significant amount of random variations, non rigid deformations or color noise. We propose an end to end pipeline capable of finding the size of the minimal repeating pattern in single images, as well as obtaining the single repetition that, when tiled, produces the most similar synthesis to the complete image. We do this by combining state of the art algorithms in image transformations, repeating pattern detection, image stitching and deep perceptual losses. Additionally, we show how our pipeline can find the minimal color pattern in woven fabrics, which can be useful for both surface based render methods and computer vision tasks in the textile domain.
Re Visiting Political Corruption and Development in Nigeria under Democratic Rule
Year: 2014

It has been observed that political corruption undermines development in all sectors of the economy in Nigeria. This paper attempts an overview of the relevance of anti corruption to sustainable development in Nigeria. The position of this study is that the abuse of political power by those elected into various offices at all levels undermines Nigeria's endeavours towards development. This study thus examines the political economy of political corruption vis a vis human wellbeing and development in Nigeria with emphasis on causes of corruption, relationship between corruption and underdevelopment, and proffers a broad schedule of recommendations. The study posits that there has been a state centric advance to political corruption Nigeria, which hampers sustainable development in that context. Political corruption has usually been considered a threat to "national development" Thus, the study reviews extant government policies towards fighting corruption and suggests measures which are considered crucial for a more effective anti corruption campaign.