nils-herrmann/clean_scirepeval huggingface dataset:
AL HALAH AL NAFSIYYAH LI ANNA AL SHA'RIYYAH FI AL SHI'R NAHAR AL AHZAN LI NAZAR QABANIY (DIRASAH TAHLILIYYAH NAFSIYYAH LI SIGMUND FREUD)
Year: 2017

Skripsi ini berjudul "Al Halatu an Nafsiyah Li ana ash shi'riyah fi shi'r "Nahr al Ahzan" li Nizar Qabbani (Dirasah Tahliliyah Nafsiyah li Sigmund Freud)" Puisi Nahr al Ahzan yang menjadi objek material berisi tentang kesedihan, keputusasaan, serta kegalauan 'Aku' yang mendalam. Ia mencintai seorang wanita, namun tidak dapat memilikinya karena takdir berkata lain, sampai 'Aku' dilanda keputusasaan, kesedihan dan berada dalam kondisi ketidaksadaran hingga mempengaruhi kondisi psikologisnya. Oleh sebab itulah, penelitian ini menggunakan teori psikoanalisis Sigmund Freud. Penelitian ini memecahkan tiga masalah yaitu 1. Bagaimana kondisi kejiwaan 'Aku' dalam puisi 2. Bagaimana struktur kepribadian 'Aku' dalam puisi? 3. Bagaimana mekanisme pertahanan yang dilakukan 'Aku' di puisi Nahr al Ahzan tersebut? Tujuan penelitian ini adalah untuk mendeskripsikan kondisi kejiwaan (kesadaran, keprasadaran, dan ketidaksadaran) yang dialami 'Aku' struktur kepribadiannya (Id, Ego, Superego) dan mekanisme pertahanan yang dilakukan 'Aku' dalam puisi Nahr al Ahzan. Metode yang digunakan peneliti yaitu deskriptif atau kualitatif. Berdasarkan analisis yang dilakukan, peneliti menyimpulkan sebagai berikut: 1. Ketidaksadaran dan kesadaran 'Aku' terdapat di bagian awal dan akhir puisi, sedangkan keprasadaran di bagian kedua (tengah) puisi. 2. Struktur Kepribadian 'Aku' Id, Ego, dan Superego tidak berjalan dengan seimbang. Id sangat kuat, yaitu 'Aku mabuk cinta kepada kekasihnya, berhasrat ingin memiliki/menguasai kekasihnya. 'Aku' tidak mau mengusahakan atau memuaskan hasratnya itu, yang dilakukan hanya bersedih, pesimis dan putus asa, maka Egonya sangat lemah. Perbuatan 'Aku' bertentangan dengan nilai ketuhanan dan kemasyarakatan, maka Superegonya juga sangat lemah. 3. Mekanisme pertahanan yang dilakukan 'Aku' meliputi Represi, Pemindahan dan Sublimasi, Fiksasi, dan Proyeksi.  Kejiwaan, Nahr al Ahzan,
Knowledge Sharing and Dissemination on Social Networking Sites: The Case of YouTube
Year: 2019

The introduction of the Web 2.0 has brought about a big change in content distribution, as a rigid separation between producer and public no longer exists (Bruns 2008) This also applies to the domain of science communication: whereas in the past it was mainly mainstream media that performed the task of sharing disseminating scientific knowledge to general audiences, now the latter can access this type of information on social networking sites, where professionally(PGC) and user generated content (UGC) are equally available. In spite of the fact that they can rely on fewer financial resources as well as on less formal technical training (Welbourne/Grant 2016) amateur users have proven able to raise the interest of lay people, thus becoming an important source of scientific information. The social media platform YouTube is a case in point: it hosts a number of science vlog channels, some of which can count on a remarkable follower base and are extremely popular. Against this backdrop, this study sets out to investigate how famous science vloggers rhetorically build their online identity and, more specifically, the language and discursive strategies they adopt to create their YouTube persona. In order to reach this aim, an ad hoc corpus consisting of YouTube vlogs posted by scholars of scientific disciplines has been collected and the verbal component of these videos has been analyzed from a linguistic perspective. The theoretical framework chosen for this study is computer mediated discourse analysis (CMDA) which arguably represents the most suited tool to examine language use as a social practice in digital environments (cf. Herring 1996; 2001) The approach of CMDA is combined with the use of automated interrogation routines where expedient for the purposes of this research, especially with a view to identifying recurrent syntactic patterns and lexical features.
Effects of grain boundary ternary alloy doping on corrosion resistance of (Ce,Pr,Nd) Fe B permanent magnets
Year: 2020

To satisfy the application of different environments, grain boundary doping is commonly used in the preparation of sintered magnets to improve the coercivity and the corrosion resistance. In this paper, the alloys were prepared by mixing different ratios of the master alloy (Ce,Pr,Nd) Fe B and the sintering aid (Pr,Nd) Al. The coercivity of sintered (Ce,Pr,Nd) Fe B magnet is substantially enhanced by doping 2 wt% of (Pr,Nd) Al, while the maximum energy product decreased slightly. We have systematically investigated the corrosion behavior and microstructure of the sintered magnets in order to determine the mechanism of the degradation. The sintered (Ce,Pr,Nd) Fe B magnets with 2 wt% of (Pr,Nd) Al addition exhibits the decreasing corrosion rate when comparing with others, due to the distribution of intergranular phases. The electrode potential difference between the main phase and the RE rich phase is reduced by the addition of Al, improving the potential and stability of RE rich phase due to the higher electrode potential of Al than that of Nd, Pr or Ce. In addition, the element distribution of the magnets doped by (Pr,Nd) Al indicates that the Al rich shell formed at the marginal area of the Ce rich phase improves its stability. Therefore, intergranular adding ternary (Pr,Nd) Al alloy powders results in both high coercivity and good corrosion resistance synchronously.
API Assisted Semantic Matching for Subjective Online Examination System
Year: 2017

Correspondence Oluwatoyin Ayokunle Enikuomehin, Department of Computer Science, Faculty of Science, Lagos State University, Nigeria.  Online examination systems exist as an attempt to expand the frontiers of learning and testing. This development has been limited by the strictness of the examination format vis a vis keyword match which are boundary defined. This constraint has led to poor adoption of online testing systems which are essential in handling the problem associated with large enrolment. Existing systems do not allow examiners to test for knowledge in ways that they seem due; similar to the conventional classroom testing system.  To develop an Application Programming Interface (API) assisted semantic matching for subjective online examination system. The proposed system will take advantages of web resources to reduce time, cost and other constraints associated with location defined examination. We leveraged on the advances in Natural Language Processing and the success emerging from same and therefore remodelled the examination system against some known concepts in text summarization, term dependencies, semantic tagging and corporal buildup using a standalone global API for semantic interpretation of answers.  We improve the Levenshtein distance between two strings a, b using the triangular inequality to identify the relationship of two terms as applicable between questions and answers. The metric was coded in php with a MySQL supporting backend. The Levenshtein distance was denoted in php with the int levenshtein string $str1 string $str2 .The complexity of the algorithm is O(m*n) where n and m are the length of str1 and str2.  The output of the research is a subjective examination system that allows the self grading of essay type question using a web based semantic API.
Constrained Multi Objective Optimization for Automated Machine Learning
Venue: 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Year: 2019

Automated machine learning has gained a lot of attention recently. Building and selecting the right machine learning models is often a multi objective optimization problem. General purpose machine learning software that simultaneously supports multiple objectives and constraints is scant, though the potential benefits are great. In this work, we present a framework called Autotune that effectively handles multiple objectives and constraints that arise in machine learning problems. Autotune is built on a suite of derivative free optimization methods, and utilizes multi level parallelism in a distributed computing environment for automatically training, scoring, and selecting good models. Incorporation of multiple objectives and constraints in the model exploration and selection process provides the flexibility needed to satisfy trade offs necessary in practical machine learning applications. Experimental results from standard multi objective optimization benchmark problems show that Autotune is very efficient in capturing Pareto fronts. These benchmark results also show how adding constraints can guide the search to more promising regions of the solution space, ultimately producing more desirable Pareto fronts. Results from two real world case studies demonstrate the effectiveness of the constrained multi objective optimization capability offered by Autotune.
Kajian Psikolinguistik Sebagai Representasi Pemerolehan Bahasa Kedua Mahasiswa Program Darmasiswa di Ikip Budi Utomo Malang
Year: 2019

Tujuan penelitian ini untuk mengetahu proses pemerolehan bahasa kedua, tingkat penguasaan bahasa kedua, dan representasi hasil belajar bahasa kedua mahasiswa asing program Darmasiswa di IKIP Budi Utomo Malang. Data dikumpulkan dengan dokumentasi, kemudian data dianalisis dengan teknik deskriptif dan kualitatif. Hasil penelitian ini adalah ditemukan (1) proses pemerolehan bahasa kedua mahasiswa asing yang berlangsung secara sadar dan alamiah; (2) tingkat penguasaan bahasa kedua mahasiswa asing yang dapat dilihat pada penguasaan empat aspek keterampilan berbahasa; dan (3) representasi hasil belajar bahasa kedua mahasiswa asing yang ditandai dengan penguasaan fonologis, sintaksis, dan semantik.
The influence of user behaviour on energy use in old dwellings: case study analysis of a social housing neighbourhood
Year: 2012

Taking user behaviour into account to predict the real energy use and possible savings in houses, remains a challenge of huge importance for the Belgian social housing sector, which owns large buildings stocks in urgent need of refurbishment. Within this context, a case study analysis was carried out on 36 (nearly) identical social houses from a single neighbourhood, dating from the sixties. Information on user behaviour, indoor air quality and thermal comfort was gathered both through in situ measurements and through surveys of the inhabitants. Furthermore, air tightness and heat flux measurements aimed at increasing the accurate knowledge of the buildings' characteristics and data on real energy use were gathered. This paper presents some findings from this case study, focusing on the energy use for heating. The huge differences in energy use observed between households on the one hand and between theoretic EPBD calculations and real measurements on the other hand are investigated. The findings from the measurements and the surveys are implemented in an improved multi zone quasi steady state calculation code reaching much better correlations with the real energy figures. This illustrates the influence of some behavioural parameters and the usefulness of both sources of information: surveys and measurements. Remaining causes of discrepancies are further reported.
Hydraulic Conductivity Modeling of Fractured Rock at Grasberg Surface Mine, Papua Indonesia
Year: 2017

Packer tests and slug tests were conducted at 49 points at the Grasberg surface mine, Indonesia to obtain hydraulic conductivity data. The HC system approach, which relies on rock quality designation, lithology permeability index, depth index, and gouge content designation, was applied. Geotechnical drill holes in 441 locations, consisting of 4,850 points of information, were used to determine the K values using the equation K 2x10 6 x HC 0.5571 The K values, which were within the range of 10 8 and 10 5 m/s, were distributed into five alternative 3D distributions using Ordinary Kriging (OK) and Artificial Neural Network (ANN) The result of the ANN modeling showed that some of the K values, with log K varying from 10.51 m/s to 3.09 m/s, were outside the range of the observed K values. The OK modeling results of K values, with log K varying from 8.12 m/s to 5.75 m/s, were within the range of the observed K values. The ANN modeled K values were slightly more varied than the OK modeled values. The result of an alternative OK modeling was chosen to represent the existing data population of flow media because it fits well to the geological conditions.
Changes in oral health related quality of life after dental bleaching in a double blind randomized clinical trial.
Venue: Journal of dentistry
Year: 2014

This study aimed to assess changes in oral health related quality of life (OHRQoL) in individuals enroled in a double blind randomized clinical trial conducted to evaluate the efficacy and safety of two carbamide peroxide concentrations used in at home vital bleaching in the city of Pelotas, Southern Brazil.  Ninety two volunteers with a shade mean of C1 or darker for the six maxillary anterior teeth were randomized into two balanced groups (n=46) according to bleaching agent concentration: 10% or 16% carbamide peroxide. The patients were instructed to use the whitening agent in a tray for 2h once a day for three weeks. To assess changes in OHRQoL, participants completed the oral impact on daily performance (OIDP) at the start and one week after the completion of treatment. Because there was no difference with regard to whitening effect or tooth sensitivity during or after treatment the two groups were merged for the analyses of the current article. Before and after changes in OIDP scores were assessed by chi square and McNemar tests (p<0.05)  Mean pre and post treatment OIDP scores varied from 0.42 to 0.60. When the frequency of impacts for different activities were compared, there was an increase in difficulty in cleaning teeth (p=0.02) and a significant reduction in smiling and showing teeth with embarrassment (p=0.03) Regarding the symptoms and main oral conditions that generated impact, there was higher number of participants reporting pain (p=0.05) after treatment. In opposite, significant decrease was observed in individuals reporting being unhappy with their appearance (p=0.03) On the contrary, it was showed a decrease in impacts resulting from dental colour was observed after bleaching (p=0.03) CONCLUSION Quality of life is complex and encompasses different domains. Although positive impact of the dental bleaching was detected, with patients showing more their teeth without embarrassment, difficult in dental hygiene and pain resulting from the treatment were also reported, and this can negatively impact daily performances. Dentists must consider these aspects when performing aesthetics procedures.
Considering the level of socio economic development of rural areas in the context of infrastructural and traditional consolidations in Poland
Year: 2018

Agricultural land consolidations help solve structural problems caused by land fragmentation. The FAO classifies the impacts of land consolidation at three levels: firstly, there is the micro level, where land consolidation aims at changing the farm structure. Secondly, there is the meso level where land consolidation has broader aims of changing rural communities by improving the infrastructure, the natural environment, and the management of natural resources, landscape and, consequently, the spatial distribution of economic activities. Finally, there is the macro level where the focus is on changes which can positively affect the whole country by reducing the disparities between rural and urban areas. Therefore, one of the advantages arising from the implementation of consolidations should be positive socio economic changes in rural areas, resulting from the implementation of agricultural land consolidations. In this study, the Authors took on an assessment of the effects of consolidations at the meso level. Another aim of the study was to identify the effects of consolidations on changes in socio economic development of rural areas. A question was raised as to whether there is a correlation between the rate of changes in socio economic development of rural areas and the implementation of agricultural land consolidations in this area. The level of socio economic development was assessed based on an indicator of the rate of changes, calculated as the difference between the levels of commune development indicator for the years 2004 and 2016. In order to determine the synthetic indicator, one of the taxonomic methods, namely Hellwig's synthetic measure of development, was applied. The study concerned communes of Lubelskie and Malopolskie Voivodeships in which both traditional and infrastructural consolidations had been implemented over an area of at least 15% of the commune's area. The study indicates an increase in the level of socio economic development of the communes in which traditional consolidations were implemented. The study results indicate that the implementation of traditional consolidations of agricultural land is one of the factors contributing to an increase in the level of socio economic development of rural areas. At the same time, it was found that infrastructural consolidations understood as a corrective tool, implemented at the time of the construction of linear infrastructure projects, do not always serve their function of an improvement in the land layout in rural areas. The conducted study indicates that in the communes in which infrastructural land consolidations have been implemented, no improvement in the conditions of socio economic development has taken place.
.QL: Object Oriented Queries Made Easy
Venue: GTTSE
Year: 2007

These notes are an introduction to .QL, an object oriented query language for any type of structured data. We illustrate the use of .QL in assessing software quality, namely to find bugs, to compute metrics and to enforce coding conventions. The class mechanism of .QL is discussed in depth, and we demonstrate how it can be used to build libraries of reusable queries.
Immune Dysfunctions and Immune Based Therapeutic Interventions in Chronic Lymphocytic Leukemia
Venue: Frontiers in Immunology
Year: 2020

Chronic lymphocytic leukemia (CLL) is a B cell malignancy characterized by a wide range of tumor induced alterations, which affect both the innate and adaptive arms of the immune response, and accumulate during disease progression. In recent years, the development of targeted therapies, such as the B cell receptor signaling inhibitors and the Bcl 2 protein inhibitor venetoclax, has dramatically changed the treatment landscape of CLL. Despite their remarkable anti tumor activity, targeted agents have some limitations, which include the development of drug resistance mechanisms and the inferior efficacy observed in high risk patients. Therefore, additional treatments are necessary to obtain deeper responses and overcome drug resistance. Allogeneic hematopoietic stem cell transplantation (HSCT) which exploits immune mediated graft versus leukemia effect to eradicate tumor cells, currently represents the only potentially curative therapeutic option for CLL patients. However, due to its potential toxicities, HSCT can be offered only to a restricted number of younger and fit patients. The growing understanding of the complex interplay between tumor cells and the immune system, which is responsible for immune escape mechanisms and tumor progression, has paved the way for the development of novel immune based strategies. Despite promising preclinical observations, results from pilot clinical studies exploring the safety and efficacy of novel immune based therapies have been sometimes suboptimal in terms of long term tumor control. Therefore, further advances to improve their efficacy are needed. In this context, possible approaches include an earlier timing of immunotherapy within the treatment sequencing, as well as the possibility to improve the efficacy of immunotherapeutic agents by administering them in combination with other anti tumor drugs. In this review, we will provide a comprehensive overview of main immune defects affecting patients with CLL, also describing the complex networks leading to immune evasion and tumor progression. From the therapeutic standpoint, we will go through the evolution of immune based therapeutic approaches over time, including i) agents with broad immunomodulatory effects, such as immunomodulatory drugs, ii) currently approved and next generation monoclonal antibodies, and iii) immunotherapeutic strategies aiming at activating or administering immune effector cells specifically targeting leukemic cells (e.g. bi or tri specific antibodies, tumor vaccines, chimeric antigen receptor T cells, and checkpoint inhibitors)
Service automation robots and the future of work
Year: 2016

The hype and fear, globally, that surrounds service automation, robots and the future of work need to be punctured by in depth research. This book, by Professors Leslie Willcocks and Mary Lacity, captures a year's worth of learning about service automation based on a survey, in depth client case studies, and interviews with service automation clients, providers, and advisors. The authors cleverly embed today's empirical lessons into the broader history and context of automation, as a vital key in understanding the fast rising phenomenon of service automation. The authors give a balanced, informed and compelling view on gaining the many benefits, as well as managing the downsides, of present and future technologies.
Sentiment trend analysis in social web environments
Venue: 2017 IEEE International Conference on Big Data and Smart Computing (BigComp)
Year: 2017

In this paper, we propose a novel method for sentiment trend analysis using Ant Colony Optimization (ACO) algorithm and SentiWordNet. We first collect social data in the form of Resource Description Framework (RDF) triples, and then use ACO algorithm to digitize the amassed RDF triples. Using ACO algorithm, we then compute pheromone values to extract the trends of the user's sentiments with the modified equations. Next, we compute the user's sentiment scores for the computed pheromone values with respect to the sentiment words with SentiWordNet. Finally, we analyze the sentiment trend of the online user by time. For verification of the proposed method, we conduct experiments, and compare the analyzed sentiment trends with their real daily lives. The results show that the proposed method performs satisfactory sentiment trend analysis on real data.
Photonic crystal nanobeam/micro ring hybrid cavities for optical trapping
Year: 2020

We propose a new type of hybrid cavity structure for trapping nanoscale particles. The hybrid cavity is based on a ring waveguide with the incorporation of a photonic crystal nanobeam cavity (PCNC) We design the cavity and investigate the influence of geometric parameters on its performance and optical trapping ability. The numerical results show that high quality factor, low mode volume and strong optical trapping ability can be achieved. The radii of holes are quadratically tapered from the center to two sides with a smaller period in the mirrors of the PCNC and the optical trapping force is proportional to (1 T)Q/V of the cavity. Furthermore, a hybrid cavity with optimal trapping ability is realized with quality factor up to 1.98 x 106, mode volume as low as 1.90( l n Si )3 and its optical trapping force can be as high as 855 pN/mW, which is 15 times enhanced compared to that of a microring resonator with the same radius.