Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis on the Necessity of Autonomous Learning for College English Students Based on Employment Orientation

in the Employment-Oriented English Teaching for Higher Vocational Students, Students' Autonomous Learning Ability is Cultivated While Their Application Ability of Professional English is Also Improved, Thus Making Higher Vocational Students More Competitive in Their Profession. According to the Current Situation of College English Teaching in China, It is Feasible and Necessary to Cultivate College Students' Autonomous Learning. While New Technological Means Have Brought a Revolution to Foreign Language Teaching, They Have Also Exposed Some Drawbacks in the Traditional Teaching Mode. College English Majors Have Different Purposes in English Learning At Other Stages. They Are No Longer Purely English Theoretical Studies, But Further Strengthen English Use and Reading Ability. It is the Most Crucial Stage for Students to Learn English. as Far as English Teaching is Concerned, It is Not Only a Discipline in School Teaching, But a Key to Directly Affecting the Development of Science and Technology, the Economy, and the Reform Process. Based on the Employment Orientation, This Paper Analyzes the Necessity of Self-Learning of English Students in Colleges and Universities.
Immunohistomorphometric Characteristics Of Pituitary GH Cells In Infant And Peripubertal Female Rats After Treatment With Estradiol Or Human Chorionic Gonadotropin

Abstract The effects of estradiol-dipropionate (EDP) or human chorionic gonadotropin (hCG) on immunohistomorphometric characteristics of pituitary GH cells in infant and peripubertal female rats were investigated. The first group of females received five injections of EDP (0.25 mg/kg b.w.) during the neonatal period of life, and was further divided into two subgroups which were sacrificed at the infantile period (17th day) or at the peripubertal period (38th day). The second group received two doses of hCG (50 IU/kg b.w.) on the 15th and 16th day of life in the first subgroup, and on the 36th and 37th days of life in the second subgroup, while they were sacrificed 24 h after the last treatment, respectively. The control females were injected with an equivalent volume of the vehicle and sacrificed according to the appropriate schedules as the hormone treated rats. EDP treatment decreased GH cell volume density in infant and peripubertal females, by 38% and 76% (p<0.05) respectively, in comparison with the controls. The number of GH cells per mm2 in infantile and peripubertal period was decreased in EDP treated animals by 26% and 53% (p<0.05) respectively, compared to the controls. Also, upon EDP treatment in both periods, GH cells were diminished in size and less intensely immunolabelled than in the control groups. The morphometric parameters in animals treated with hCG were insignificantly changed in both analyzed periods, in comparison with the controls. Unlike hCG, EDP manifested clear inhibitory effects on the immunohistomorphometric characteristics of GH cells in examined female rats.
Stealthy Malware Detection Based on Deep Neural Network

Network attacks using advanced local hiding technology have not only increased, but also become a serious threat. However, attacks using these technologies can not be detected through traffic detection, and some attacks imitate benign traffic to avoid detection. To solve these problems, a malware process detection method based on process behavior in possibly infected terminals is proposed. In this method, a deep neural network is introduced to classify malware processes. Firstly, the recurrent neural network is trained to extract the characteristics of process behavior. Secondly, training convolutional neural network is used to classify feature images generated by trained RNN features. The experiments results show that this method can effectively extract the features of malicious processes, and the AUC of ROC curve is 0.97 in the best case.
Social network analysis and activity theory

The chapter outlines benefits that can be accrued by combining SNA approaches with those based on activity theory. The two frameworks take different perspectives and are from very different origins. However, in essence they are both concerned with understanding the interactions that take place between individuals or networks in order to achieve a goal. The combination of these two research approaches can be utilised to address some of the limitations of both SNA and activity theory. This chapter will initially explore similarities and differences in the philosophical principles underpinning SNA and activity theory, before moving on to the strengths and weaknesses of research designs based on each. It will then progress to discussing how a combination of the frameworks can create a stronger design; in particular we will explore how activity theory can place SNA in a qualitatively rich context, while SNA provides a structured exploration of the community and division of labour elements of an activity system. While there are several benefits to combination, there remain limitations that are not addressed by mixing these particular frameworks, such as a lack of focus on cognitive processes. Finally, the chapter will end by giving an example of a research design that combined SNA and activity theory to illustrate how researchers may implement this particular mixed methods approach.
Evidence of wildfires and elevated atmospheric oxygen at the Frasnian–Famennian boundary in New York (USA): Implications for the Late Devonian mass extinction

The Devonian Period experienced significant fluctuations of atmospheric oxygen (O2) levels (∼25–13%), for which the extent and timing are debated. Also characteristic of the Devonian Period, at the Frasnian–Famennian (F–F) boundary, is one of the “big five” mass extinction events of the Phanerozoic. Fossilized charcoal (inertinite) provides a record of wildfire events, which in turn can provide insight into the evolution of terrestrial ecosystems and the atmospheric composition. Here, we report organic petrology, programmed pyrolysis analysis, major and trace element analyses, and initial osmium isotope (Osi) stratigraphy from five sections of Upper Devonian (F–F interval) from western New York, USA. These data are discussed to infer evidence of a wildfire event at the F–F boundary. Based on the evidence for a wildfire at the F–F boundary we also provide an estimate of atmospheric O2 levels of ∼23–25% at this interval, which is in agreement with the models that predict elevated pO2 levels during the Late Devonian. This, coupled with our Os isotope records, support the currently published Osi data that lacks any evidence for an extra-terrestrial impact or volcanic event at the F–F interval, and therefore to act as a trigger for the F–F mass extinction. The elevated O2 level at the F–F interval inferred from this study supports the hypothesis that pCO2 drawdown and associated climate cooling may have acted as a driving mechanism of the F–F mass extinction.
Mathematics teachers’ professional learning: Impact of story sharing and reflective dialogue

This research examined the impact of story sharing and reflective dialogue on mathematics teachers’ professional learning in Fiji. Employing a qualitative research methodology, semi-structured interviews were used to gather data from nine Fijian secondary school mathematics teachers. The study established that: 1) teachers improve their instructional practice when they share stories of classroom experiences of teaching with their colleagues and collectively reflect on those stories; 2) the truth of stories is that those that are concrete and willingly shared are powerful in transferring rich knowledge; and 3) when teachers share their stories with their colleagues and engage in reflective dialogue, it provides rich conversations that enhances teachers’ professional growth. Understanding the impact of story sharing and reflective dialogue could provide policy makers and administrators with valuable insights into how to best accommodate into educational policy to enhance teachers’ professional growth.
Semi supervised data mining model for the prognosis of pre-diabetic conditions in type 2 Diabetes Mellitus

Diabetic Mellitus is the leading disease in the world irrespective of age and geographical location. It is estimated that 43% of the overall population is affected by the disease. The reasons for the disease include inappropriate diet lifestyle with allied symptoms like obesity. Therefore, the prognosis and diagnosis of the disease are important for adequate combat and care. The prognosis related known symptoms of the disease include incontinence (inability to control urination) and frequent fatigue. Moreover, early prediction of the disease plays an important role in the prognosis of other associated conditions such as heart failure leading to chronic illness. Hence, it is of interest to describe a data mining based prediction model using known features (derived from epidemiological data collected from the public hospital using routine tests) to help in the prognosis of the disease. We used data pre-processing techniques for handling missing values and dimensionality reduction models to improve data quality. The Minimum Description Length principle (MDL) model for discretization (replacing a continuum with a finite set of points) is used to reduce high-level dimensionality of the dataset, which enabled to categorize the dataset into small groups in ordered intervals. Thus, we describe a semi-supervised learning technique (identifies promising attributes using clustering and classification methods) by combining data mining techniques for reasonable accuracy having adequate sensitivity and specificity for further discussion, cross-validation, revaluation, and application. Early prediction of the disease with improved accuracy by analysing specificity ranges in blood pressure and glucose levels will be useful to combat Diabetes Mellitus.
An Evaluation of Strategies and Policies in Higher Education Management in Internationalization Process: New Pedagogy

Reports by the International organizations, such as the World Bank, UNESCO, and OECD, reveal that the number of students in higher education in 1985 was 20 million, in 1990 26 million, in 1995 38 million an d with a rapid increase from 1995 onwards, the number was over 85 million in 2001. At present more than 100 million students are at universities and it is expected that the number will reach to 200 million in 2020. In this respect, evaluating the strategies and policies for higher education in terms of internationalization becomes crucial. This research study aims to examine the role of management in higher education within internationalization process for catching the new pedagogy. It is essential to consider new generations for the roles of managers in terms of fostering online learning. Qualitative research design was conducted that case study was employed in this research. 17 universities’ representatives were participated research that content analysis was done to analyse qualitative data. In this research, it is revealed that ground of internationalization, institutional strategies, policies, academic strategies and policies, risks and handicaps, role of internationalization in higher education are essential for the quality and management for making new pedagogy.
Response to reviewer 1

The Stochastic Time-Inverted Lagrangian Transport (STILT) model is comprised of a compiled Fortran executable that carries out advection and dispersion calculations as well as a higher level code layer for simulation control and user interaction, written in the open source data analysis language R. We introduce modifications to the STILT-R codebase with the aim to improve the model’s applicability to fine-scale (< 1km) trace gas measurement studies. The changes facilitate placement of spatially distributed receptors and provide high level methods for single and multi-node parallelism. We present a kernel 5 density estimator to calculate influence footprints and demonstrate improvements over prior methods. Vertical dilution in the hyper near-field is calculated using the Lagrangian decorrelation timescale and vertical turbulence to approximate the effective mixing depth. This framework provides a central source repository to reduce code fragmentation between STILT user groups as well as a systematic, well documented workflow for users. We apply the modified STILT-R to light-rail measurements in Salt Lake City, Utah, United States and discuss how results from our analyses can inform future fine-scale measurement approaches 10 and modeling efforts.
Genotyping-By-Sequencing Reveals Population Structure and Genetic Diversity of a Buffelgrass (Cenchrus ciliaris L.) Collection

Buffelgrass (Cenchrus ciliaris L.) is an important forage grass widely grown across the world with many good characteristics including high biomass yield, drought tolerance, and adaptability to a wide range of soil conditions and agro-ecologies. Two hundred and five buffelgrass accessions from diverse origins, conserved as part of the in-trust collection in the ILRI genebank, were analyzed by genotyping-by-sequencing using the DArTseq platform. The genotyping generated 234,581 single nucleotide polymorphism (SNP) markers, with polymorphic information content (PIC) values ranging from 0.005 to 0.5, and the short sequences of the markers were aligned with foxtail millet (Setaria italica) as a reference genome to generate genomic map positions of the markers. One thousand informative SNP markers, representing a broad coverage of the reference genome and with an average PIC value of 0.35, were selected for population structure and diversity analyses. The population structure analysis suggested two main groups, while the hierarchical clustering showed up to eight clusters in the collection. A representative core collection containing 20% of the accessions in the collection, with germplasm from 10 African countries and Oman, was developed. In general, the study revealed the presence of considerable genetic diversity and richness in the collection and a core collection that could be used for further analysis for specific traits of interest.
The nutritional status of nurses working shifts: A pilot study in Turkey

Objetivo: Este estudo determinou o estado nutricional de enfermeiras em regime de trabalho por turnos em hospital universitario em Ancara, na Turquia. Metodos: Um total de 110 enfermeiras voluntarias (n=56 no grupo controle e n=54 no grupo de estudo) participaram do estudo. Os dados do estudo foram coletados com o auxilio de um questionario com um registro alimentar de tres dias. Resultados: A ingestao de energia diaria media do grupo de estudo foi maior que a mesma ingestao do grupo controle (1756±659 kcal versus 1694±431 kcal, p>0,05). Enquanto que as ingestoes de carboidratos (196,3±85,5 g versus 185,9±54,7 g) e lipideos (79,5±29,5 g versus 77,1±22,6 g) foram maiores no grupo de estudo, a ingestao de proteinas foi maior no grupo controle (59,4±17,6 g versus 57,6±21,6 g). A ingestao media de ferro foi estatisticamente maior no grupo controle (10,6±2,9 mg versus 10,0±4,0 mg, p<0,05). Conclusao: Para melhorar o desempenho e estado nutricional de enfermeiras que trabalham no turno da noite e importante disponibilizar unidades de alimentacao e nutricao saudaveis, acessiveis, e de qualidade.
Dark CO2 fixation into phospholipid-derived fatty acids by the cold-water coral associated sponge Hymedesmia (Stylopus) coriacea (Tisler Reef, NE Skagerrak)

ABSTRACT Many cold-water sponges harbour microorganisms of which the role in the sponge host remains enigmatic. Here, we show a transfer of fixed inorganic carbon by sponge-associated microbes to its host, the cold-water coral encrusting sponge Hymedesmia (Stylopus) coriacea. Sponge were collected at approx. 100 m depth and incubated for 1.5–2.5 days with 13C labelled dissolved inorganic carbon (DIC) as tracer. Total DIC fixation rates ranged from 0.03–0.11 mmol C × mmol Csponge × d−1. 13C-tracer was recovered in bacterial-specific (i.e. short and branched) and sponge-specific (very long-chained) phospholipid-derived fatty acids (PLFA's), but was not incorporated into archaeal lipids. 13C-incorporation in biomarkers such as C16:1w7c and C18:1w7c indicated that nitrifying and/or sulphur-oxidizing bacteria (chemoautotrophs) were likely active in the sponge. Trophic transfer of microbially-fixed carbon to the sponge host was confirmed by recovery of label in very long chain fatty acids (VLCFA's) including C26:2 and C26:3. Tracer accumulation into several VLCFA's continued after removal of 13C-DIC, while tracer in most bacteria-specific PLFA's declined, indicating a transfer and elongation of bacterial-specific PLFA's to sponge-specific PLFA's. This implies that PLFA precursors released from chemo- as well as heterotrophic microbes in sponges contributed to the synthesis of VLCFA's, identifying sponge-associated bacteria as symbionts of the sponge.
Community versus Commodity in Francophone Canada: A Multilevel Approach to the Neoliberalization of Immigration

Abstract Since the 1990s, Canada's francophone minority communities (FMCs) have become increasingly involved in francophone immigration governance, and this trend has coincided with the wider neoliberalization of immigration in Canada. This article analyzes the implications of the growing influence of a neoliberal immigration policy and the narrative of an ideal immigrant on Canada's FMCs by focussing on the francophone Acadian community in New Brunswick, Canada's only constitutionally bilingual province. Making use of three types of sources—semistructured interviews, debates in the Legislative Assembly of New Brunswick, and official and archival documents—the article argues that francophone and Acadian organizations have adopted the federal, neoliberal perspective on immigration, placing greater emphasis on economic integration and the creation of a bilingual workforce. Changes in the type of immigrant selected and role of the community in the lives of francophone immigrants create new challenges for minority language communities that define and identify themselves through language use and belonging.
Emerging Models for Global Health in Radiation Oncology

In response to the growing global health challenge in the fight against cancer, there is now a greater need for radiation oncology health professionals across institutions to collaborate and be more globally engaged. Emerging Models for Global Health in Radiation Oncology is a response to the need for a book that comprehensively covers the important and emerging field of radiation oncology. This insightful book highlights the emerging models for global radiation oncology, and serves as a useful resource to facilitate participation and greater effective collaborative global cancer care, research, and education. It is suitable for researchers, students, health professionals, and anyone interested in the global oncology community.
Genetic and pharmacogenetic determinants of cardiovascular disease

This thesis, titled ‘Genetic and pharmacogenetic determinants of cardiovascular disease’ is divided in three sections. In section one the genetic determinants of coronary restenosis are explored. In the first genome-wide association study on this condition, in the GENetic DEterminants of Restenosis study, we describe a novel locus on chromosome 12 possibly associated with restenosis. Furthermore, by using several analysis tools on this data, we describe multiple biological pathways and genes that are likely associated with restenosis. In section two, we focus on genetic factors involved in three other (cardio)vascular diseases. We explore the role of DNA repair genes in myocardial infarction and stroke and the genetic determinants of dialysis shunt failure. Section three is on pharmacogenetics. In particular, we were interested in genetic variation involved in aspirin and clopidogrel resistance. We validated two genetic polymorphisms associated with recurrent thrombotic events during treatment with these agents in patients with an acute myocardial infarction. Genetic research is a fast developing field of research. By increasing our knowledge on the molecular background of diseases, genetics potentially could lead to more personalized treatment in the near future.
Improvement of the Mechanical Properties of Poly(Glycolic Acid) Fibers Through Control of Molecular Entanglements in the Melt Spinning Process

Abstract To improve the mechanical properties of poly(glycolic acid) (PGA) fibers prepared by the direct spin-drawing process, the concept of “melt structure control” was introduced. A heating chamber was installed in the vicinity of the spinning head and a low take-up velocity in the melt spinning process was adopted to reduce the Deborah number in the spin-line. As a result, improvement of the toughness of as-spun fibers prepared by the melt-spinning process was accomplished, and the drawn fibers of high-strength and high-toughness were obtained by applying an additional in-line drawing process. Entanglement density reduction in the melt spinning process was found to be suppressed by installing a heating chamber as well as by lowering the take-up velocity. Through the matching of the true stress versus true strain curves of in-line drawn fibers by shifting the curves along the true-strain axis, the network draw ratio of the drawn fibers was estimated and the master curves for individual spinning conditions were prepared. The master curves were found to show steeper increases from lower true-strains for the lower Deborah number conditions, whereas the increases in birefringence and strength of the drawn fibers proceeded from the lower network draw ratios.
Family Implicit Rules, Shame, and Adolescent Prosocial and Antisocial Communication Behaviors

This study examined the relationship between implicit family process rules and adolescent prosocial and antisocial communication behaviors. Data came from two-parent families in Wave 5 of the Flourishing Families Project which consisted of 322 families (fathers, mothers, and children ages 13–17). Both observational and questionnaire data were used in data collection. Prosocial and antisocial behaviors were assessed using observational codes from the Iowa Family Interaction Rating Scales. Each of the family members’ perceptions was used to assess constraining family rules and facilitative family rules. Findings showed a direct positive relationship between facilitative family process rules and prosocial communication and a negative relationship with antisocial communication for both girls and boys. Constraining family process rules were also positively related to antisocial communication behaviors in adolescents. Shame was a significant mediator of the relationship between facilitative family rules and prosocial behavior as well as between constraining family rules and antisocial behavior.