Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermoelasticity of Tremolite Amphibole : Geophysical Implications 2

8 We investigated the structure, equation of state, thermodynamic, and elastic properties 9 of tremolite amphibole (Ca2Mg5Si8O22(OH)2) up to 10 GPa and 2000 K, using first principles 10 simulations based on density functional perturbation theory. We found that at 300 K, the 11 pressure-volume results can be adequately described by a third-order Birch-Murnaghan 12 equation of state with bulk moduli K0 of 78.5 and 66.3 GPa based on local density 13 approximation (LDA) and generalized gradient approximation (GGA), respectively. We also 14 derived its coefficients of the elastic tensor based on LDA and GGA and found that the LDA 15 is in good agreement with the experimental results. At 300 K, the shear modulus G0 is 58.0 16 GPa based on LDA. The pressure derivative of the bulk modulus K’ is 5.9 while that of the 17 shear modulus G’ is 1.3. The second Grüneisen parameter, or T= [-1/(KT)](∂KT/∂T)P, is 3.3 18 based on LDA. We found that at ambient conditions, tremolite is elastically anisotropic with 19 the compressional wave velocity anisotropy AVP being 34.6% and the shear wave velocity 20 anisotropy AVS being 27.5%. At higher pressure corresponding to the thermodynamic 21 stability of tremolite, i.e., ~3 GPa, the AVP reduces to 29.5% whereas AVS increases to 30.8%. 22 To evaluate whether the presence of hydrous phases such as amphibole and phlogopite could 23 account for the observed shear wave velocity (VS) anomaly at the mid-lithospheric 24 discontinuity (MLD), we used the thermoelasticities of tremolite (as a proxy for other 25
Revisiting methods for calculating confidence region for ICERs ? Are Fieller ’ s and bootstrap methods really equivalent ?

On the basis of Monte-Carlo simulations of the literature, it was believed that both bootstrap and Fieller’s methods had equivalent performances for calculating confidence regions for the incremental cost-effectiveness ratio. However, we have carried out Monte-Carlo simulations using real data issued from an economic evaluation carried out alongside a randomised clinical trial for women with breast cancer which show that these methods do not similarly perform in cases where the pair composed by the mean costs difference and the mean effects difference is close to the Y-axis or to the origin of the costeffectiveness plane. Such situations will frequently occur in practice. In particular, we show that Fieller’s method performed significantly better than bootstrap methods that became unstable or even inapplicable when the difference between average effects approaches statistically zero. Since Fieller’s method seems to be the best method, we study it in detail in an analytical way for covering all the possibilities. We prove some theorems that permit to see that Fieller’s method is “technically” applicable in all the situations, even near the CE plane origin. They also permit to see that the method provides an answer for the decision-making purpose in all the situations.
LandExplorer – Ein System für interaktive 3D-Karten

Das Projekt LandExplorer befasst sich mit theoretischen und technischen Fragestellungen der Kommunikation raumbezogener Informationen. In diesem Kontext sind interaktive 3D-Karten ein zentrales Konstrukt, das zur Präsentation, Exploration, Analyse und Editierung von raumbezogenen Daten dient. Eine einzelne 3D-Karte setzt sich aus Kartenbauelementen zusammen, die visuelle, strukturelle und verhaltensgebende Aspekte spezifizieren. Durch Instanziierung, Komposition und Assoziation von Kartenbauelementen entstehen konkrete 3D-Karten. Diese Aufgaben werden von einem 3D-Karten-Editor unterstützt, der 3D-Karten als in sich abgeschlossene digitale Dokumente verwaltet. Zur Nutzung von 3D-Karten-Dokumenten steht ein 3D-KartenViewer bereit. Somit können 3D-KartenDokumente plattformund anwendungsübergreifend weitergegeben werden. 3D-Karten des LandExplorer-Systems enthalten damit sowohl die raumbezogenen Daten als auch die Werkzeuge und Strategien zu deren Kommunikation.
Evaluation of human leukocyte antigen class-II DRB1 & DQB1 and its association with cervical carcinoma

Background: Cervical Carcinoma is the second most leading carcinoma following breast cancer among Indian women. It has been showed that HLA class II DQ is associated in persistent HPV infection and HLA class II DR is responsible for increased clearance of HPV virus from cervix. Methodology: In this study we had included total 96 women (53 women in the control, 31 women in CIN group, and 12 women in cervical carcinoma (CC) group. Result: Our study showed that HLA DRB1 was associated with the healthy and cervical intraepithelial neoplasia population; whereas HLA DQB1 was associated with the invasive cervical carcinoma. Conclusion: HLA DRB1 and HLA DQB1 is useful tool for community based screening and focused HPV vaccination among the risk group to prevent the invasive cervical cancer.
Multilingual Sentimental Analysis on Twitter Dataset: A Review

Sentiment Analysis which frequently passes by the name opinion mining is one of the noticeable field in lots of research and is going ahead because of its interminable application like online networking monitoring, product reviews and so on. Be that as it may, because of the noticeable utilization of social media the utilization of multilingual statements has turned out to be most basic as client tends to in their own particular safe place. These multilingual statements emerges due the utilization of more than one language to create a statement. Because of absence of clear grammatical structure it is exceptionally hard to discover correct sentiment out of it. We survey various techniques which can be utilized to examine these multilingual proclamation accurately.
Teach Your Children Well – Determinants and Consequences of Parenting Styles

This paper analyzes the socio-economic determinants of parenting styles and the consequences of these choices for children’s later in life outcomes. We use a Swedish survey on parenting styles when children are 15 years of age, linked to administrative registers of the children that span five decades. We investigate the empirical validity of a model in which parents choose a parenting style based on the ability level of the child, and the extent to which parents believe their child will have a similar career as themselves. In line with this model, our results show that parents are more often authoritarian when they expect their children to have similar careers as themselves, and that they are more often authoritative if their child has a higher ability level. We also find that choosing to be authoritarian improves children’s long run outcomes when parents think children will have similar careers as themselves.
Blending Local Government Authorities and Grassroots for Industrial Economy Through Participatory Development Communication in Tanzania

Local Government Authorities (LGAs) are an integral part of any successful implementation of people-centered development program, albeit, replete of studies and policies’ inability to appreciate this fact. Since Tanzania had embarked into the journey to industrialization, the missing in action of the LGAs is not considered a major factor for the sector’s failure. Financial and infrastructure problems are the most commonly reported setbacks. While appreciating the precious LGAs’ position, the study, using Participatory Communication for Development approach, seeks to gauge the performance of LGAs in drawing the grassroots into taking a leading role in micro-manufacturing development. The study was conducted in Bahi district and it involved two wards, namely Mpamantwa and Bahi-sokoni. These wards were purposefully chosen for the study due to, comparatively, their big number of people engaging in micro manufacturing sector. Focus group discussions, observation and interviews were used as data collection methods. A total of fifty one (51) participants were used in the study. Results of the study showed lack of information sharing about industrialization between community members themselves; No marketing communication strategies for the ready-made commodities; presence of District Business Council whose existence and information is not shared with the community members; lack of participatory communication strategies among LGAs in engaging the grassroots in manufacturing sector. These factors have consequently led to weak collaboration between the LGAs and the grassroots; dependency syndrome among the LGAs and the grassroots which has made them passive implementers of micromanufacturing development. Again, despite of lack of collaboration, both LGAs and grassroots still depend on the government to implement or play major part of industrialization. The study recommends awareness creation through participatory communication strategies to both LGAs and the grassroots; and improve the line of communication between the LGAs, grassroots and other key players in the development of industrial economy.
Exploring the Linguistic Characteristics of Online Consumer Reviews by Top Reviewers and Ordinary Reviewers

Consumer online purchase behaviors are heavily depending on online reviews as review platforms are booming. Prior works have identified the effects of different review characteristics on helpfulness, including the review being written by a top reviewer. This study examines the linguistic characteristics that make top reviewers different from ordinary reviewers in their reviews. Drawing on computational linguistic literature, this study performs a linguistic analysis on the reviews written by top reviewers and ordinary reviewers in terms of four language summary variables: analytical thinking, emotional tone, authenticity, and clout. The four variables are examined using review data collected from Yelp. Our preliminary results suggest that top reviewers exhibit higher analytic thinking and more positive emotional tone in their reviews. Interestingly, reviews by top reviewers appear to be lower in authenticity and clout, which can plausibly be interpreted as being more humble and impersonal.
Relation Extraction Using Sense Embeddings

There exists a vast amount of unstructured data, including newswire, web, blogs, Email communications, governmental documents, logs, and so on. Hence the need to develop systems that help us to understand all of this data. One popular approach is to turn unstructured text into structured text via annotating semantic information. However, the huge volume and heterogeneity of data make manual annotation almost impossible. Instead, we would like to have a machine system proficient to annotate all data efficiently. Development of such systems requires it to understand relations between entities, such as persons, organizations, and locations. More formally Information extraction (IE) is the process of extracting information from text, which is often also referred to as text analytics. Such a process begins by extracting the entities followed by extracting their relationship such as located in, employed by, part of, married to, . The applications of IE are vast and is still considered an open research problem by the natural language processing community. Relation extraction plays a vital role in extracting structured information from unstructured sources such as raw text. For example, we may want to find interactions between drugs to build a medical database, shopping engines & product search, build scholarly literature databases: Google Scholar, CiteSeerX or extract relationships among people to build an easily searchable knowledge base.
Genes as entrepreneurs

The signals of profit and loss play a fundamental role in how economic actors learn to behave. Profit informs and incentivizes in such a way that resources can be allocated through the market process according to our material demands. This paper will argue that this arbitrage process is not exclusive to monetary prices but functions similarly for a far older unit of economic analysis: the calorie. Biological evolution is governed by the differential replicability of genes, and these differences are the result of genes building survival machines that are more or less suited to their environment. The ability of a survival machine to acquire sufficient calories is a necessary condition for meeting the Darwinian goals of the gene, so genes that code for a higher than average ability to utilize the calories within an environment would be able to support a larger population in that environment. This enhanced carrying capacity provides positive selection pressure for mutations that allow for the exploitation of novel sources of calories. To model this process, a system of differential equations is developed where a mutant subset of a population is able to achieve enhanced growth in the presence of surplus food resources. The theoretical claims of this paper are tested by examining the urbanization process of birds.
An Empirical Two-Stage Framework on Citation Intent Recognition

Known as “coercive citations”, journal editors are seen to force authors to cite marginally relevant articles in particular journals to boost their journal impact factors, so are paper reviewers to solely increase their citation counts or h-index. In this contest, the contestant is asked to develop a system that can recognize the citation intent of a given passage in a scholarly article and retrieve relevant citation targets from a given database. In this paper, we describe our winning approach for finding most related papers. In particular, we will explore the application of Bidirectional Encoder Representations from Transformers (BERT) [6] and Sent2Vec [7] for embedding sentence pairs, which can not only make ranking model more robust but also recall more various papers so as to improve recalling accuracy. The proposed solution of our team SimpleBaseline achieved weighted accuracy score of 0.41712 in the private leaderboard, and was selected as second place submission.1
A Study of Email Deception Based on Situation Awareness Theory

Information security-related research is traditionally focused on technical aspects, while little attention is paid to user behavior and organizational management and employee behavior is often neglected. In many cases, employees intend to comply with policies, but they cannot avoid “unintentional” violation of information security policies, that is, they are unaware of the existence of deception. Even if the user’s intention to comply with the security policy is high and the behavior is toward compliance, it is still possible to have an information security violation in the case of “unawareness” or “mistrust,” resulting in organizational losses. This study uses situation awareness theory to explore how email social engineering attacks can deceive users either unconsciously or unintentionally and to explore using current and possible training methods to reduce the possibility of employees falling victim to a successful email engineering attack.
Impact of Gamification on Consumers' Online Impulse Purchase: The Mediating Effect of Affect Reaction and Social Interaction

Drawing upon the stimulus-organism-response (S-O-R) framework, this study developed a theoretical model to examine the impact mechanism of two gamification features on individuals’ impulse purchase in the context of Double Eleven. An empirical survey was conducted and 716 valid questionnaires were collected from consumers using Taobao and Tmall platforms in China. Structural equation modelling method was used to examine the research model. The empirical results suggested that rewards giving and badges upgrading gamification features were positively associated with perceived enjoyment and social interaction reactions, which in turn had strong influences on consumers’ impulse purchase. This study provides new insights in understanding online impulsive buying behaviors by incorporating the mechanism of gamification in the new research context of Double Eleven.
Airborne Particulate Matter and Increased Risk of Lung Cancer- Mechanisms of Carcinogenesis by Reactive Oxygen Species and the Role of Oxidative Stress

Urban air pollution has been one of the most important pollution problem for many decades. Airborne particulate matter (PM) from combustion sources is considered the most important air pollutants for adverse health effects to humans, especially for acute and chronic respiratory diseases and lung cancer. Airborne particles contain a number of toxic and carcinogenic substances as well as persistent free radicals entering the lung’s alveoli. PM in the lungs can generate free radicals and reactive oxygen species (ROS), initiating mechanisms of oxidative stress, inflammation and mutagenic damage to cellular DNA. These conditions lead progressively to increased morbidity and mortality as well as to increased risk of lung cancer. In the last decades a number of studies investigated PM size focusing to PM with aerodynamic diameter below l0 μm (ΡM10 and ΡΜ2.5), transition metals, polycyclic aromatic hydrocarbons (ΡΑΗ), stable quinoids αnd carcinogenic nitropyrenes. ROS generated by PM are linked to the pathogenesis of pulmonary oxidative damage, lipid peroxidation, damages to enzymes and cellular DNA. In our experimental study we investigated ROS generation by airborne PM (exhaust soot diesel and gasoline) by Electron Paramagnetic Resonance (EPR) and persistent free radicals characteristic to a mixture of semiquinone radicals. Also, we examined by EPR the formation of oxidative damage to guanosine nucleobase. by PM in aqueous phosphate buffer (pH 7.4) and the formation of the cancer biomarker 8-hydroxy-2’-deoxyguanosine.
When APIs are Intentionally Bypassed: An Exploratory Study of API Workarounds

Application programming interfaces (APIs) have become ubiquitous in software development. However, external APIs are not guaranteed to contain every desirable feature, nor are they immune to software defects. Therefore, API users will sometimes be faced with situations where a current API does not satisfy all of their requirements, but migrating to another API is costly. In these cases, due to the lack of communication channels between API developers and users, API users may intentionally bypass an existing API after inquiring into workarounds for their API problems with online communities. This mechanism takes the API developer out of the conversation, potentially leaving API defects unreported and desirable API features undiscovered. In this paper we explore API workaround inquiries from API users on Stack Overflow. We uncover general reasons why API users inquire about API workarounds, and general solutions to API workaround requests. Furthermore, using workaround implementations in Stack Overflow answers, we develop three API workaround implementation patterns. We identify instances of these patterns in real-life open source projects and determine their value for API developers from their responses to feature requests based on the identified API workarounds.
AN EXPERIMENTAL STUDY OF DIE SINKING ELECTRICAL DISCHARGE MACHINING OF AISI D2 TOOL STEEL USING DIFFERENT ELECTRODE MATERIALS

The Electrical Discharge Machining (EDM), a thermal process, is one of the effective non-conventional machining processes, being widely used in the production of tools, dies, molds and complex-shaped components made of materials that are extremely difficult-to-machine. EDM process exhibits a great potential for tool, die and mold making industries, since it offers a lower cost alternative with improved dimensional accuracy and surface finish, as compared to its counterpart of conventional machining techniques. This paper presents details and results of an experimental study of EDM carried out on hardened work material AISI D2(62HRc), a non-shrinking die steel, mainly used in tooling industry for high quality press tools, cold extrusion tools and dies, punches, casting moulds etc. with two different tool electrode materials namely copper and graphite. An attempt has been made to study the influence of the most important control factors in EDM viz. pulse current (Ip), pulse ON-time (TON), duty cycle ( ) and sparking gap voltage (Vg) having two levels each, on performance measures, such as material removal rate, tool electrode wear and dimensional overcut. Analyzed results indicate that Ip, TON and Vg are the most important influencing parameters affecting the response parameters, with graphite electrode giving better
Current state and challenges in WEEE recycling industry in Serbia

Waste from electrical and electronic equipment (WEEE) is defined as a special waste flow due to the fact that contains hazardous materials and should not be mixed and treat with other waste streams. In order to ensure adequate environmental protection and proper management of this waste flow, Serbia has harmonized its legislation in this field with the EU regulations. However, main objectives are still not implemented, mainly because undeveloped separate collection scheme and lack of advanced treatment technologies. Also, EPR principles are still not fully established, including issues in ensuring stabile financial support for treatment operators. In this paper, an overview of the current situation, as well as problems and challenges in the management of WEEE in Serbia, with the focus on the recycling industry, will be addressed.
Formative feedback on writing skills for international EAL student engineers

CONTEXT The undergraduate engineering communication curriculum at the University of Adelaide is designed to develop effective oral and written communication skills, which are among the professional and personal attributes for engineering graduates specified by Engineers Australia (2016) in its Stage One Competencies. Developing student proficiency in “comprehending critically and fairly the viewpoints of others”, and “expressing information effectively and succinctly [and] presenting arguments and justification . to technical and non-technical audiences” (Engineers Australia, 2016) is an objective of the engineering communication curriculum, designed and taught by our communication specialists to both local and international students. The curriculum is grounded in the theory of systemic functional linguistics, which facilitates teaching of the effective use of language appropriate to particular contexts (in our case, academic and professional engineering). Effective use of language is developed in stages with students receiving diagnostic, formative feedback on several writing tasks prior to presentation of a final evidence-based discussion paper. According to the literature, the effect of formative feedback on students’ skills in writing tasks varies in different situations (Heylen and Vander Sloten, 2013) and furthermore, several variables affect the relationship between formative feedback and students’ learning (Shute, 2008).