nils-herrmann/clean_scirepeval huggingface dataset:
Recent advances in the synthesis of biologically and pharmaceutically active quinoline and its analogues: a review
Year: 2020

Recently, quinoline has become an essential heterocyclic compound due to its versatile applications in the fields of industrial and synthetic organic chemistry. It is a vital scaffold for leads in drug discovery and plays a major role in the field of medicinal chemistry. Nowadays there are plenty of articles reporting syntheses of the main scaffold and its functionalization for biological and pharmaceutical activities. So far, a wide range of synthesis protocols have been reported in the literature for the construction of this scaffold. For example, Gould Jacob, Friedlander, Pfitzinger, Skraup, Doebner von Miller and Conrad Limpach are well known classical synthesis protocols used up to now for the construction of the principal quinoline scaffold. Transition metal catalysed reactions, metal free ionic liquid mediated reactions, ultrasound irradiation reactions and green reaction protocols are also useful for the construction and functionalization of this compound. The main part of this review focuses on and highlights the above mentioned synthesis procedures and findings to tackle the drawbacks of the syntheses and side effects on the environment. Furthermore, various selected quinolines and derivatives with potential biological and pharmaceutical activities will be presented.
Video Self Stitching Graph Network for Temporal Action Localization
Venue: ArXiv
Year: 2020

Temporal action localization (TAL) in videos is a challenging task, especially due to the large scale variation of actions. In the data, short actions usually occupy the major proportion, but have the lowest performance with all current methods. In this paper, we confront the challenge of short actions and propose a multi level cross scale solution dubbed as video self stitching graph network (VSGN) We have two key components in VSGN: video self stitching (VSS) and cross scale graph pyramid network (xGPN) In VSS, we focus on a short period of a video and magnify it along the temporal dimension to obtain a larger scale. By our self stitching approach, we are able to utilize the original clip and its magnified counterpart in one input sequence to take advantage of the complementary properties of both scales. The xGPN component further exploits the cross scale correlations by a pyramid of cross scale graph networks, each containing a hybrid temporal graph module to aggregate features from across scales as well as within the same scale. Our VSGN not only enhances the feature representations, but also generates more positive anchors for short actions and more short training samples. Experiments demonstrate that VSGN obviously improves the localization performance of short actions as well as achieving the state of the art overall performance on ActivityNet v1.3, reaching an average mAP of 35.07
DATA MINING APPLIED FOR DETERMINING STREAM FLOW PERMANENCE
Year: 2020

Streamflow permanence is an aspect of great legal importance in Brazil, because streams, depending on their flow regime, are protected or not by law. Various methods, from field methods to computational methods, are used to determine the flow regime of streams, however some are too time spending and computational methods usually need gaging information as input. Furthermore, computational methods used to extract drainage networks do not identify the flow regimes of streams, and modelled drainage networks always need to be refined manually, as some authors indicate that up to 55% of modelled drainage length is ephemeral in some cases. This work proposes a semi automatic computational method to determine the flow regime of first order streams, which uses 11 morphometric attributes of the mini drainage basins of these streams to develop a classification model using decision tree algorithms. WEKA package was used to perform the data mining process, which resulted on the development of a compact 8 node decision tree. Ten fold stratified cross validation was used to validate the model, which obtained an accuracy rate of 70% The drainage network of the study area extracted with the classical approach was refined after the result of the classification was obtained. Quantitative analysis of channel length by Strahler order shows an overall reduction of 25% in channel length after refinement was undertaken, and for 1st order streams, as much as 31% were classified as ephemeral. Modelling the drainage areas of headwater streams represents a new approach to determining stream flow permanence, and inclusion of new attributes in the model may yield better results in future research.
Two generational trauma informed assessment improves documentation and service referral frequency in a child protection program.
Venue: Child abuse neglect
Year: 2019

Two generational trauma informed assessment (TIA) helps providers conduct holistic family well being assessment (FWbA) This tool makes it possible to use families' trauma history in the case finding process.  This study compares the documentation and frequency of adverse childhood experiences (ACEs) and service referral rates for index children and their caretakers in two groups of families evaluated in a child abuse clinic (CAC) PARTICIPANTS AND SETTING The sample consisted of 364 children stratified into two groups: Group 1 children seen in the CAC after implementation of FWbA in years 2014, 2015, 2016 and Group 2 children seen in the CAC prior to implementation of FWbA in years 2011, 2012, 2013.  Researchers utilized retrospective chart review method and analyzed data regarding ACEs and service referrals for patients and their caregivers.  Documentation of ACEs was higher in Group 1 for children (77.7 vs 26.6 ,p 0.0001) and caretakers (60.7 vs 7.3 p 0.0001) Caretakers in Group 1 had a higher rate of four or more ACEs (47.0 vs 5.1 p 0.001) while the increase for children was not statistically significant (61.4 vs 51.1 p 0.110) Both children and caretakers were referred to more services in Group 1 (2.7 1.5 vs 1.5 1.3, and 3.0 1.9 vs 1.2 1.2, respectively, p 0.0001) CONCLUSIONS In families evaluated for child abuse and neglect, conducting TIA in addition to conventional psychosocial evaluation increased documentation regarding trauma history, which led to increased referral rates.
Mirror, mirror on the wall: email as an object of practitioner inquiry
Year: 2015

As new communication technologies enter the classroom, teachers must attend to how digital platforms impact the interpersonal practices of teaching and learning. In this article, I study email exchanges with three of my students Jorge, Adriana, and Jason over the course of one year in an 11th grade English class at River High School, a struggling American school subject to intervention for failing to meet the federal No Child Left Behind requirements. I ask several questions: what role does email play in my relationships with students; what does email reveal about the ideological content of my communication with students; and how could I use email transformatively? When I studied these email exchanges, I found that while email has the potential to transform literacy instruction, it can also perpetuate a poor student/teacher relationship and reproduce neoliberal narratives that narrowly imagine students as test takers, workers, and consumers.
Cost modelling and simulation of last mile characteristics in an innovative B2C supply chain environment with implications on urban areas and cities
Year: 2014

The last mile in a B2C environment is currently regarded as one of the more expensive, least efficient and most polluting sections of the entire logistics chain. Taking these "last mile problems" into account, the authors developed a last mile typology and an instrument to simulate the total last mile costs whereby specific last mile characteristics are used as independent variables.
DEVELOPMENT OF A NOVEL DEEP LEARNING MODEL FOR RIGHT VENTRICULAR QUANTIFICATION ON ECHOCARDIOGRAPHY: A MULTIMODALITY VALIDATION STUDY
Venue: Journal of the American College of Cardiology
Year: 2019

Echocardiography is widely used to assess right ventricular (RV) function; current techniques are limited by need for dedicated imaging and manual analysis. Deep learning holds potential to improve RV assessment but has yet to be well validated. A deep learning model was developed to track
Multivariate Statistical Analysis on a SEM/EDS Phase Map of Rare Earth Minerals
Venue: Scanning
Year: 2020

The scanning electron microscope/X ray energy dispersive spectrometer (SEM/EDS) system is widely applied to rare earth minerals (REMs) to qualitatively describe their mineralogy and quantitatively determine their composition. The performance of multivariate statistical analysis on the EDS raw dataset can enhance the efficiency and the accuracy of phase identification. In this work, the principal component analysis (PCA) and the blind source separation (BSS) algorithms were performed on an EDS map of a REM sample, assisting to achieve an efficient phase map analysis. The PCA significantly denoised the phase map and was used as a preprocessing step for the following BSS. The BSS separated the mixed EDS signals into a set of physically interpretable components, bringing convenience to the phase separation and identification. Through the comparison between the independent component analysis (ICA) and the nonnegative matrix factorization (NMF) algorithms, the NMF was confirmed to be more suitable for the EDS mapping analysis.
Some Techniques for Intelligent Searching on Ontology based Knowledge Domain in e Learning
Venue: KEOD
Year: 2020

E learning is the modern way to learn by using electronic media and information and communication technologies in education. Ontology is a useful method to organize knowledge bases for intelligent educational systems. In this paper, a method for intelligent searching on ontology based knowledge domain in e learning is presented. This method includes an ontology representing educational knowledge domains, called Search Onto. The foundation of this ontology is concepts, relations between concepts, operators, and rules combining the structures of problems and their solving methods. Beside the ontology organizing the knowledge base, the proposed method also studies some techniques for intelligent searching, such as searching for the knowledge content, searching on the knowledge classification, and searching the related knowledge. The method for intelligent searching based on a knowledge base has been applied to construct a search engine for the knowledge of high school mathematics. This engine can do searching works and retrieve required information in mathematics for high school students to support their learning.
Fuzzy knowledge representation study for incremental learning in data streams and classification problems
Venue: Soft Comput.
Year: 2011

The extraction of models from data streams has become a hot topic in data mining due to the proliferation of problems in which data are made available online. This has led to the design of several systems that create data models online. A novel approach to online learning of data streams can be found in Fuzzy UCS, a young Michigan style fuzzy classifier system that has recently demonstrated to be highly competitive in extracting classification models from complex domains. Despite the promising results reported for Fuzzy UCS, there still remain some hot issues that need to be analyzed in detail. This paper carefully studies two key aspects in Fuzzy UCS: the ability of the system to learn models from data streams where concepts change over time and the behavior of different fuzzy representations. Four fuzzy representations that move through the dimensions of flexibility and interpretability are included in the system. The behavior of the different representations on a problem with concept changes is studied and compared to other machine learning techniques prepared to deal with these types of problems. Thereafter, the comparison is extended to a large collection of real world problems, and a close examination of which problem characteristics benefit or affect the different representations is conducted. The overall results show that Fuzzy UCS can effectively deal with problems with concept changes and lead to different interesting conclusions on the particular behavior of each representation.
The inclusive fitness controversy: finding a way forward
Venue: Royal Society Open Science
Year: 2017

This paper attempts to reconcile critics and defenders of inclusive fitness by constructing a synthesis that does justice to the insights of both. I argue that criticisms of the regression based version of Hamilton's rule, although they undermine its use for predictive purposes, do not undermine its use as an organizing framework for social evolution research. I argue that the assumptions underlying the concept of inclusive fitness, conceived as a causal property of an individual organism, are unlikely to be exactly true in real populations, but they are approximately true given a specific type of weak selection that Hamilton took, on independent grounds, to be responsible for the cumulative assembly of complex adaptation. Finally, I reflect on the uses and limitations of 'design thinking' in social evolution research.
Boosting MAIT cells as immunotherapy: context is everything
Venue: Mucosal Immunology
Year: 2020

The abundance of mucosal associated invariant T (MAIT) cells, their strong evolutionary conservation and innate like effector functions have made them a focus of much research attention over the past decade. However, this biology has yet to see clinical translation. Sakai et al. present exciting murine data showing a differential effect of enhancing MAIT cells at different stages of infection with Mycobacterium tuberculosis (M.tb) with a tantalising suggestion of how MAIT cells could be modulated therapeutically.
Dominoes
Venue: Genome Biology
Year: 2011

Teen And Up Audiences Archive  Choose Not To Use Archive Warnings Category: Gen Fandom: Star Wars All Media Types, Star Wars: The Clone Wars (2008) All Media Types Character: CT 21 0408 Echo, CT 27 5555 Fives ARC 5555, CT 782 Hevy, CT 00 2010 Droidbait, CT 4040 Cutup, CT 7567 Rex, CC 2224 Cody, CT 19 7409 O'Niner, Shaak Ti, CT 6116 Kix, CT 5597 Jesse, Hardcase (Star Wars) Coric (Star Wars) Attie (Star Wars) Zeer (Star Wars) Del (Star Wars) Nax (Star Wars) Ahsoka Tano, 99 (Star Wars) Anakin Skywalker, Obi Wan Kenobi Additional Tags: Time Travel, Clones, Brotherly Bonding, clones deserve better, References to Torture, Post Traumatic Stress Disorder PTSD, Discrimination, Torture, Feels, Angst, Panic Attacks, The Force, Cliffhangers, The clones are not reliable narrators Series: Part 1 of Dominoes Collections: Empty's favored Stats: Published: 2017 08 21 Updated: 2018 10 07 Chapters: 29/
Formality Style Transfer with Shared Latent Space
Venue: COLING
Year: 2020

Conventional approaches for formality style transfer borrow models from neural machine translation, which typically requires massive parallel data for training. However, the dataset for formality style transfer is considerably smaller than translation corpora. Moreover, we observe that informal and formal sentences closely resemble each other, which is different from the translation task where two languages have different vocabularies and grammars. In this paper, we present a new approach, Sequence to Sequence with Shared Latent Space (S2S SLS) for formality style transfer, where we propose two auxiliary losses and adopt joint training of bi directional transfer and auto encoding. Experimental results show that S2S SLS (with either RNN or Transformer architectures) consistently outperforms baselines in various settings, especially when we have limited data.
Lip segmentation using automatic selected initial contours based on localized active contour model
Venue: EURASIP J. Image Video Process.
Year: 2018

With the rapid development of artificial intelligence and the increasing popularity of smart devices, human computer interaction technology has become a multimedia and multimode technology from being computer focused to people centered. Among all ways of human computer interactions, using language to interact with machines is the most convenient and efficient one. However, the performance of audio speech recognition systems is not satisfied in a noisy environment. Thus, more and more researchers focus their works on visual lip reading technology. By extracting lip movement features of speakers rather than audio features, visual lip reading systems can get superior results when noises and interferences exist. Lip segmentation plays an important role in a visual lip reading system, since the segmentation result is crucial to the final recognition accuracy. In this paper, we propose a localized active contour model based method using two initial contours in a combined color space. We apply illumination equalization to original RGB images to decrease the interference of uneven illumination. A combined color space consists of the U component in CIE LUV color space and the sum of C2 and C3 components of the image after discrete Hartley transform. We select a rhombus as the initial contour of a closed mouth, because it has a similar shape to a closed lip. For an open mouth, we utilize a combined semi ellipse as the initial contours of both outer and inner lip boundaries. After attaining the results of each color component separately, we merge them together to obtain the final segmentation result. From the experiment, we can conclude that this method can get better segmentation results compared with the method using a circle as the initial contour to segment gray images and images in combined color space, especially for open mouth. An extremely obvious advantage of this method is the results of open mouth excluding internal information of mouth such as teeth, black holes, and tongue, because of the introduction of the inner initial contour.
REKLAMASI DI TELUK JAKARTA DAN PERUBAHAN SOSIAL PADA MASYARAKAT NELAYAN DI CILINCING JAKARTA UTARA
Year: 2018

Pembangunan pulau N di Teluk Jakarta telah mempengaruhi kehidupan sosial ekonomi masyarakat di Cilincing yang terkait dengan perubahan sumber pendapatan, pola aktivitas penangkapan ikan, serta sistem gender pada masyarakat perikanan. Penelitian ini merupakan studi kasus yang menggunakan metode kualitatif. Teknik pengumpulan data menggunakan metode triangulasi guna memperoleh kombinasi data yang akurat. Pemilihan informan melalui teknik bola salju dan dilakukan secara sengaja yaitu memilih orang orang yang dianggap mengetahui secara detail mengenai gejala perubahan sosial akibat adanya pembangunan reklamasi Teluk Jakarta. Analisis data kualitatif dilakukan secara interaktif dan berlangsung secara terus menerus sampai tuntas hingga datanya jenuh. Hasil penelitian menggambarkan adanya perubahan sosial yang terjadi akibat adanya pembangunan pulau reklamasi di sekitar Teluk Jakarta antara lain perubahan jenis sumber pendapatan, perubahan pola aktivitas penangkapan, perubahan struktur sosial masyarakat nelayan dan perubahan sistem gender. Tulisan ini merekomendasikan agar pemerintah melakukan asistensi pada masyarakat nelayan yang tidak mampu beradaptasi terhadap perubahan karena pulau reklamasi dengan program mata pencaharian alternatif. Dan bagi masyarakat nelayan yang mampu beradaptasi dengan perubahan yang ada, Harus disiapkan skema bantuan yang jelas, sehingga perekonomian masyarakat nelayan dapat berkembang.  Reclamation in The Jakarta Bay and Social Change of Fishing Community In the Cilincing of North Jakarta The development of the N island of the Jakarta bay has affected on socio economic life of the community in Cilincing, especially related to changes in income sources, patterns of fishing activities, and gender systems in fisheries communities. This research was a case study using qualitative method. Data collection techniques use a triangulation method to obtain accuracy data combinations. Informants were selected through snowball techniques and carried out intentionally was chosen for person who were considered understood in detail about the symptoms of social change due to the development of the Jakarta Bay reclamation. Qualitative data analysis was carried out interactively and ended continuously until complete until the data was saturated. Results of the study illustrate that social changes that occur due to the development of reclamation islands around the Bay of Jakarta include changes in the type of income sources, changes in patterns of fishing activities, changes in the social structure of fishing communities and changes in the gender system. This paper recommends that the government do assistant to fishermen communities who are unable to adapt to changes due to reclamation islands with alternative livelihood programs. And for fishing communities who are able to adapt to existing changes, a clear assistance scheme must be prepared, so that the economy of the fishing community can develop.
Approaches to studying when preparing for final exams as a function of coping strategies
Year: 2007

This study investigated how coping strategies students adopt when preparing for final exams influence their approaches to studying. It was hypothesized that adaptive coping strategies (self help, approach, and accommodation) would be associated with the adoption of deep and strategic approaches to studying, whereas maladaptive coping strategies (avoidance and self punishment) would be associated with the adoption of a surface approach to studying. A sample of 135 undergraduate university students completed the R COPE, the Approaches and Study Skills Inventory for Students (ASSIST) the Evaluation Anxiety Scale (EVAN) and the General Self efficacy Scale (GSES) 2 weeks before final exams. In a multivariate regression model controlling for measurement error, gender, and confounding by general self efficacy and evaluation anxiety, approach coping predicted deep and strategic approaches to studying, self help coping predicted a strategic approach to studying, and avoidance coping predicted a surface approach to studying. The hypotheses were fully supported for approach and avoidance coping, partially supported for self help coping, and disconfirmed for accommodation and self punishment coping. The implications of these findings are outlined.
Tantangan Konversi Bank Konvensional Menjadi Bank Syariah di Aceh Berdasarkan Qanun Lembaga Keuangan Syariah No 11 Tahun 2018
Year: 2020

The presence of the Islamic Financial Institution Qanun No 11 in 2018 is a special right for Aceh and has brought a breath of fresh air to the development of the Islamic banking industry in Aceh, a number of conventional banks in Aceh are required to convert to Islamic banks, The purpose of this study is to explain the procedure for accelerating the conversion of unconventional banks to Islamic banks in Aceh and to explain the challenges of banking institutions with the obligation to convert financial institutions in Aceh. The obligation to convert a conventional bank into a sharia bank is clearly as stipulated in article 6 points e and d, although the process of converting a conventional bank to a sharia bank is not found directly in the qanun, but every bank that does the conversion must refer to BI regulations namely PBI No. 11 15 PBI 2009, this is as explained in article 12 "before carrying out business activities, LKS must have a business license in accordance with the provisions of the legislation"