nils-herrmann/clean_scirepeval huggingface dataset:
PENGARUH METODE PEMBELAJARAN MIND MAPPING TERHADAPPRESTASI BELAJAR SISWA MATA PELAJARAN RENCANA BISNISDARING DAN PEMASARAN KELAS X SMKN 3 BANDUNGTAHUN AJARAN 2017 2018(Studi Kuasi Eksperimen Pada Peserta Didik Kelas X Jurusan Pemasaran (PM) SMK Negeri 3 Bandung)
Year: 2018

Skripsi ini berjudul "Pengaruh metode pembelajaran mind mapping terhadap prestasi belajar siswa mata pelajaran rencana bisnis daring dan pemasaran Kelas X SMKN 3 Bandung Tahun Ajaran 2017 2018. Permasalahan dalam penelitian ini metode pembelajaran, bahan ajar, maupun strategi pembelajaran yang digunakan masih terhitung konvensional, hasil belajar peserta didik pada mata pelajaran perencanaan bisnis belum mencapai hasil yang optimal. Tujuan penelitian ini adalah untuk mengetahui perbedaan peningkatan hasil belajar siswa antara kelas eksperimen yang menggunakan metode pembelajaran mind mapping dengan kelas kontrol yang menggunakan metode pembelajaran konvensional. Metode yang digunakan dalam penelitian ini adalah kuasi eksperimen dengan bentuk Nonequivalent (Pretest and Posttest) Control Group Design. Sampel dalam penelitian ini adalah kelas X PM 1 sebagai kelas eksperimen dan X PM 2 sebagai kelas kontrol. Analisis data dilakukan dengan menggunakan uji t melalui program SPSS 24.0 for Windows yaitu dengan menggunakan Independent Sample t Tes. Analisis data untuk menguji hipotesis penelitian menggunakan SPSS versi 24.0 for windows dengan statistik parametrik, uji beda rata rata (paired samples t test dan Independent samples t test) gain score dan perhitungan effect size. Hasil penelitian menunjukkan bahwa terdapat perbedaan peningkatan hasil belajar peserta didik antara kelas eksperimen setelah diberikan perlakuan metode pembelajaran mind mapping dan kelas kontrol setelah diberikan perlakuan metode pembelajaran konvensional. Hal ini dapat dibuktikan dengan peningkatan nilai pada kelas eksperimen sebesar 12,10 7,06 untuk kelas kontrol, dengan indeks N Gain 0,371 untuk kelas eksperimen dan 0,188 untuk kelas kontrol. Penggunaan metode pembelajaran mind mapping dapat meningkatkan hasil belajar peserta didik lebih efektif dibandingkan dengan metode pembelajaran konvensional. Variabilitas peningkatan hasil belajar peserta didik pada kompetensi dasar membuat proposal usaha yang diperoleh oleh peserta didik selama proses pembelajaran sebesar 15,90% yang disebebkan oleh adanya perlakuan dari metode pembelajaran mind mapping. Sebagai akhir penelitian, penulis menyarankan kepada guru dalam pelaksanaannya, harus memperhatikan beberapa hal, diantaranya materi harus disampaikan dan dijelaskan sedetail mungkin termasuk juga mengenai langkah langkah metode dalam pembelajaran mind mapping, usahakan memberikan bimbingan bimbingan terhadap peserta didik saat berdiskusi, serta perlu adanya variasi agar peserta didik tidak jenuh dan bisa meningkatkan minat belajar sehingga prestasi belajar meningkat. Kata Kunci Metode Pembelajaran Mind Mapping, Prestasi Belajar
A Deep Learning Study on Osteosarcoma Detection from Histological Images
Venue: Biomed. Signal Process. Control.
Year: 2021

In the U.S, 5 10\ of new pediatric cases of cancer are primary bone tumors. The most common type of primary malignant bone tumor is osteosarcoma. The intention of the present work is to improve the detection and diagnosis of osteosarcoma using computer aided detection (CAD) and diagnosis (CADx) Such tools as convolutional neural networks (CNNs) can significantly decrease the surgeon's workload and make a better prognosis of patient conditions. CNNs need to be trained on a large amount of data in order to achieve a more trustworthy performance. In this study, transfer learning techniques, pre trained CNNs, are adapted to a public dataset on osteosarcoma histological images to detect necrotic images from non necrotic and healthy tissues. First, the dataset was preprocessed, and different classifications are applied. Then, Transfer learning models including VGG19 and Inception V3 are used and trained on Whole Slide Images (WSI) with no patches, to improve the accuracy of the outputs. Finally, the models are applied to different classification problems, including binary and multi class classifiers. Experimental results show that the accuracy of the VGG19 has the highest, 96\ performance amongst all binary classes and multiclass classification. Our fine tuned model demonstrates state of the art performance on detecting malignancy of Osteosarcoma based on histologic images.
Dynamic study of oral Candida infection and immune status in HIV infected patients during HAART.
Venue: Archives of oral biology
Year: 2020

To dynamically monitor oral Candida infection, CD4+ T lymphocyte counts, CD8+ T lymphocyte counts and CD4/CD8 ratios in HIV/AIDS patients during their first year of HAART and to preliminarily explore the relationships between them.  Forty six patients with HIV/AIDS receiving HAART at the Infection Department of Chongqing Red Cross Hospital were followed for one year. At baseline and 3, 6, and 12 months after HAART initiation, oral rinses were collected and cultured to identify Candida species. Further, blood samples were collected to detect CD4+ T lymphocyte counts, CD8+ T lymphocyte counts and CD4/CD8 ratios.  The prevalence of OC decreased after HAART initiation (P 0.05) and Candida albicans was the dominant species isolated from the oral cavity (66/93) At 3, 6 and 12 months after HAART initiation, CD4+ T lymphocyte counts were 327.91 138.82, 329.65 142.66 and 319.98 97.90 cells/mm3, respectively, which were significantly higher than the level at baseline (263.39 126.01 cells/mm3) (P 0.016, P 0.014, and P 0.035, respectively) During the first year of HAART, CD4/CD8 ratios increased gradually, and CD8+ T lymphocyte counts decreased continually. OC was associated with low CD4+ T lymphocyte counts and a low CD4/CD8 ratio. CD4+ T lymphocyte counts <200 cells/mm3 and Candida load =300 CFU/mL were risk factors for OC (P 0.05) and oral Candida load was negatively correlated with CD4+ T lymphocyte counts and the CD4/CD8 ratio.  OC might be a useful marker for the evaluation of immune status in patients with HIV/AIDS.
Encoding Generalized Quantifiers in Dependency based Compositional Semantics
Venue: PACLIC
Year: 2014

For textual entailment recognition systems, it is often important to correctly handle Generalized quantifiers (GQ) In this paper, we explore ways of encoding GQs in a recent framework of Dependency based Compositional Semantics, especially aiming to correctly handle linguistic knowledge like hyponymy when GQs are involved. We use both the selection operator mechanism and a new relation extension to implement some major properties of GQs, reducing 69% errors of a previous system, and a further error analysis suggests extensions towards more powerful logical systems.
Synergistic Effect of Benzethonium Chloride Combined with Endoxan against Hepatocellular Carcinoma in Rats through Targeting Apoptosis Signaling Pathway
Venue: Asian Pacific journal of cancer prevention APJCP
Year: 2020

Combination therapy has been the trendy of care, particularly in cancer remedy, since it is a rational approach to increase response and tolerability and to diminish resistance. Hence, there is a growing interest in combining anticancer drugs to maximizing efficacy with minimum systemic toxicity through the delivery of lower drug doses. Therefore, in the present study, the value of combination between benzethonium chloride (benzo) and endoxan (endo) as anti tumor drug sensitization of hepatocellular carcinoma HCC treatment were detected both in vitro and in vivo. Crystal violet test was performed to detect the proliferation of HepG2 cells treated with benzo or/and endo. In addition, the HCC rat model was established by diethylnitrosamine (DEN) administration. The antitumor effect was enhanced with the combined treatment of the two drugs, particularly in the group with benzo and endo. The results confirmed that the HCC condition was developed in response to lower expressions of caspase 3 and P53 which, in turn, was due to the overexpression of Bcl 2, and downregulation of cytochrome C. The treatment with benzo combined with endo caused significant activation of caspase 3 mediated apoptotic signals that could be responsible for its anti HCC potential. Meantime, benzo combined with endo treatments could reduce the hepatocellular carcinogenesis by reducing the expression of MMP 9. Therefore, benzo and endo treatments may be a hopeful therapeutic drug for HCC. Also, more studies are recommended to feat the idea of this research for medical use.
Digital Consumer Behaviour and eCommerce Trends during the COVID 19 Crisis
Venue: International Advances in Economic Research
Year: 2021

The COVID 19 global pandemic has rapidly changed e commerce. With revenues of US $351.9 billion, Europe was the third largest e commerce market in 2019. Annual growth (6.0% is projected to lead to revenues of US $565.9 billion by 2025 in Europe. Overall, e commerce revenues saw 10% additional growth in Europe in 2020 due to the COVID 19 crisis (Statista, https:/www.statista.com/study/42335 /ecommerce report/2021, 2021) New e commerce standards build on traditional marketing theories (Haan et al.  2018; Sunder et al.  2016; Verhoef,  2017) with the added insight of understanding digital consumer behavioural characteristics, developing consumer insights and creating value propositions that offer consumers higher levels of satisfaction (Achrol and Kotler, Journal of the Academy of Marketing Science, 2012; Eggert et al. Industrial Marketing Management, 2020; Payne and Frow, Journal of Services Marketing, 2020) During the COVID 19 crisis, consumer behaviour and purchasing habits fundamentally changed. This paper examines the effect the COVID 19 crisis had on digital consumer behaviour and discusses factors affecting online shopping and the latest trends in ecommerce in the Czech Republic. Potential respondents were selected from different generational cohorts in two waves. Based on generation cohort theory (Igelhart, Princeton University Press, 1997) the current research defined respondent cohorts as follows: Generation Alpha (2011 present) Generation Z (1997 2010) Generation Y (Millennials) (1983 1996) Generation X (1965 1982) Baby Boomers (1946 1964)
Money and Banking International Trade and Public Finance
Year: 2020

In this paper author looks at Money and Banking and International Trade activities marketing challenges of various commodities in India and the remedial measures that can be e executed to solve the problem. Today, marketing is one of the most technology dependent processes in business. According to the Gartner CMO Spend survey 2015 16, worldwide, the martech spend now accounts for 29% of total marketing budgets. This points out that in the past 2 years, CMOs are eager to invest in tools more than ever! In addition to the development of Word Press as a CMS, new CRM platforms, and marketing automation software, there are also new and improved social media marketing tools, apps, and content marketing development softwares. The effect of using these softwares is felt across each industry, for example, banking is continuously transformed by new and improved payment systems, and B2B companies can't function without a CRM or Salesforce integration and social media marketing.There is also a lot of progress in collecting, vetting and decoding data that is generated in each marketplace, as well as in the expansion of digital media advertising for reaching target customers. While in a different time, CMOs had to struggle to find at least some quantifiable portion of data for target customers, now, they're struggling to absorb the data to get relevant feedback about the marketplace. Fortunately, the data challenges can be easily overcome and interpreted with the technology that is available to businesses today. For example, consider only the capacity for marketing of technology such as IBM's Watson, that can perfectly comprehend and interpret human language and analyze unorganized data.
Editorial: Digital Transformation Digital Business Strategy in Electronic Commerce The Role of Organizational Capabilities
Venue: J. Theor. Appl. Electron. Commer. Res.
Year: 2018

Ayesha Nadeem Babak Abedin Narciso Cerpa Eng Chew Editorial: Digital Transformation Digital Business Strategy in Electronic Commerce The Role of Organizational Capabilities Journal of Theoretical and Applied Electronic Commerce Research ISSN 0718 1876  2018 I VIII (c) 2018 Universidad de Talca Chile This paper is available online at www.jtaer.com DOI: 10.4067/S0718 18762018000200101
Privacy Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption
Venue: ICASSP 2020 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2020

This work introduces a fast and lightweight homomorphic encryption pipeline that enables privacy preserving machine learning for phishing web page recognition. The primary goals are to use visual features to train an accurate model and to implement an inference pipeline with practical runtime and communication costs. To do so, we deploy a variety of techniques that cover deep learning and optical character recognition to extract salient visual features, and optimize the inner mechanisms of state of the art homomorphic encryption schemes to reduce the encryption related costs. Our presented system is able to achieve over 90% on the visual classification task, while using less than 250 KB of communication bandwidth and around 0.7 seconds of computation time. We hope our work not only demonstrates a private visual phishing detection pipeline, but also outlines techniques to practically utilize homomorphic encryption in a variety of machine learning tasks.
Test Retest Reliability of the Adaptive Chemistry Assessment Survey for Teachers: Measurement Error and Alternatives to Correlation
Year: 2016

Determining the error of measurement is a necessity for researchers engaged in bench chemistry, chemistry education research (CER) and a multitude of other fields. Discussions regarding what constructs measurement error entails and how to best measure them have occurred, but the critiques about traditional measures have yielded few alternatives. We present a brief review of psychometric reliability from its beginning in the early 1900s as well as a summary of critiques of the test retest reliability coefficient. Then, we posit our own novel measurement, the zeta range estimator, to assist in quantifying and accounting for measurement error that those interested in educational researchers will find beneficial. We provide a proof of concept using simulated data and then analyze the reliability of items on the Adaptive Chemistry Assessment Survey for Teachers, a survey designed to characterize data driven inquiry. While the focus is for CER, the zeta range estimator also holds significant value for those ou.
Bacteriocins as a new generation of antimicrobials: toxicity aspects and regulations
Venue: FEMS microbiology reviews
Year: 2020

In recent decades, bacteriocins have received substantial attention as antimicrobial compounds. Although bacteriocins have been predominantly exploited as food preservatives, they are now receiving increased attention as potential clinical antimicrobials and as possible immune modulating agents. Infections caused by antibiotic resistant bacteria have been declared as a global threat to public health. Bacteriocins represent a potential solution to this worldwide threat due to their broad or narrow spectrum activity against antibiotic resistant bacteria. Notably, despite their role in food safety as natural alternatives to chemical preservatives, nisin remains the only bacteriocin legally approved by regulatory agencies as a food preservative. Moreover, insufficient data on the safety and toxicity of bacteriocins represent a barrier against the more widespread use of bacteriocins by the food and medical industry. Here, we focus on the most recent trends relating to the application of bacteriocins, their toxicity and impacts.
Towards Symbiosis in Knowledge Representation and Natural Language Processing for Structuring Clinical Practice Guidelines
Venue: Nursing Informatics
Year: 2014

The successful adoption by clinicians of evidence based clinical practice guidelines (CPGs) contained in clinical information systems requires efficient translation of free text guidelines into computable formats. Natural language processing (NLP) has the potential to improve the efficiency of such translation. However, it is laborious to develop NLP to structure free text CPGs using existing formal knowledge representations (KR) In response to this challenge, this vision paper discusses the value and feasibility of supporting symbiosis in text based knowledge acquisition (KA) and KR. We compare two ontologies: (1) an ontology manually created by domain experts for CPG eligibility criteria and (2) an upper level ontology derived from a semantic pattern based approach for automatic KA from CPG eligibility criteria text. Then we discuss the strengths and limitations of interweaving KA and NLP for KR purposes and important considerations for achieving the symbiosis of KR and NLP for structuring CPGs to achieve evidence based clinical practice.
Value co creation features: an empirical case study of B2B collaboration and interactions in New Zealand
Venue: Digit. Libr. Perspect.
Year: 2020

This paper aims to highlight four features of value co creation among actors in a business to business environment. Service dominant (S D) logic of marketing is used as a theoretical lens to view at the process of value co creation.,Using an interpretive methodological approach, the authors collected empirical material from a single case based in New Zealand. The case was based on the collaboration, interaction and relationship between vendor and client during an information and communication technology (ICT) systems integration project. The unit of analysis was "points of value creation." Empirical material came from observation, in depth interviews and documents such as meeting notes and email logs. Interpretation highlighted four features of the value co creation process: motivators, outcomes, disadvantages and management. Moreover, personal and network aspects of value co creation process emerged.,The findings of this study capture benefits, as well as conflicts and frustrations, in a value co creation process. Furthermore, it provides future research motivations for researchers currently working to develop S D logic of marketing.,It is suggested that there is relatively little direction on how value co creation process should be undertaken in different contexts such as retail, education, health care and ICT. There is a need to understand the dynamics and specification of value co creation process, as the literature is scarce in this field.
Responsible Conduct of Research Role Plays: Conflict of Interest
Year: 2009

Using Role Plays in Ethics Education Role playing can be a powerful learning experience and stimulate lively discussion and debate. However, this active learning technique, which most people are unfamiliar with, can also make participants feel awkward and uncomfortable at first. The key to its use is to introduce and frame the technique to any group before starting.  After the workshop participants should receive as a handout the section labeled " Resources. " That section also includes a summary of the role play. 2 3 minutes) We generally start a session by talking about the technique and why we use it. We often label it as " experiential " or " active " learning as we talk about it. This introduction can be done relatively quickly and will improve the participation and comfort level of the group. Points we make include: Role playing is a type of active learning technique. As such, it promotes deep learning, long term retention and can be very memorable and powerful. Participants might feel awkward at first, but they are encouraged to participate as fully as possible. The more authentically they engage in their role the more they will learn. There are no " right " answers in role plays. Participants are not being graded. The purpose of the exercise is to provide an active learning experience in a safe setting where ethical issues can be explored without being about a real problem Because role plays (or simulations) are participatory, educators believe that the information learned will be retained longer and will be more easily accessible in the future if it is needed. This training will help participants be prepared to recognize and address ethical problems. By grappling with the sorts of ethical problems that arise regularly in professional life in this safe, non threatening role play setting, participants can think through the problem and gain some skills and tools to use should they ever encounter such a problem. We think of this as an " inoculation model. " By practicing these conversations you become " vaccinated " and thus better able to resist confusion and anxiety when questions of ethical research arise. These scenarios are based on real situations that real people encountered. (You cannot make this stuff up. After the role play we will discuss the experience. We also will discuss the outcome of the real life situation upon which the role play
Managing the Covid 19 pandemic through individual responsibility: the consequences of a world risk society and enhanced ethopolitics
Year: 2020

At the end of March 2020, international media present Swedish management of the ongoing Covid 19 pandemic as soft and irresponsible. Thus, Sweden, which is usually regarded as exceptionally risk averse and cautious, has chosen an unexpected risk management approach. The aim of this article is to reflect on how the Swedish government has managed the Covid 19 pandemic until early April 2020 from two theoretical perspectives, the risk society thesis and governmentality theory. We make a brief review of how previous pandemics have been managed compared to Covid 19 and try to understand the consequences of the Swedish handling of present pandemic with a particular focus on the governance of the pandemic and the exercise of power rather than definite risk management strategies during the pandemic.
Based Smart Agriculture And Soil Nutrient Detection System
Year: 2018

Development of agriculture using technology will be very much useful in cultivation. For a new agricultural area, without knowing or monitoring the important parameters of the soil, cultivation will be difficult and so the farmers suffer financial losses. This project provides a brief overview of the soil monitoring system using sensors. Various soil sensors are used to measure temperature, moisture and light, humidity and ph value. The information from the sensors in the soil is sent to the MCP3204 A/D converter then from A/D converter it send to the cloud through Raspberry pi. Finally we can see the information saved to cloud on mobile phone as well as laptop. On the basis of information we know which crop is suitable with given soil parameter. Thus this advanced technology helps the farmers to know the accurate parameters of the soil thus making the soil testing procedure easier. KeywordsSoil monitoring system, MCP3204 A/D Converter, Raspberry pi. __________________________________________________**_________________________________________________