Miracle-dz/UniFAR-FTUs huggingface dataset:
Terrane accretion and dispersal in the northern Gondwana margin. An Early Paleozoic analogue of a long-lived active margin

If reconstruction of major events in ancient orogenic belts is achieved in sufficient detail, the tectonic evolution of these belts can offer valuable information to widen our perspective of processes currently at work in modern orogens. Here, we illustrate this possibility taking the western European Cadomian– Avalonian belt as an example. This research is based mainly on the study and interpretation of U– Pb ages of more than 300 detrital zircons from Neoproterozoic and Early Paleozoic sedimentary rocks from Iberia and Brittany. Analyses have been performed using the laser ablation– ICP– MS technique. The U– Pb data record contrasting detrital zircon age spectra for various terranes of western Europe. The differences provide information on the processes involved in the genesis of the western European Precambrian terranes along the northern margin of Neoproterozoic Gondwana during arc construction and subduction, and their dispersal and re-amalgamation along the margin to form the Avalonia and Armorica microcontinents. The U– Pb ages reported here also support the alleged change from subduction to transform activity that led to the final break-up of the margin, the birth of the Rheic Ocean and the drift of Avalonia. We contend that the active northern margin of Gondwana evolved through several stages that match the different types of active margins recognised in modern settings.
University of Birmingham Client organizations and the management of professional agency work

It is frequently argued that the growing reliance on agency workers in core organizational roles leads to significant risk for client organizations. It has also been suggested that while this risk can be mitigated through investments in human resource (HR) practices directed at agency workers, in practice these will be hard to develop or implement. This paper draws on Lepak and Snell’s (1999) HR architecture model, and uses a comparative case study method to explore this issue, focusing on agency working in core nursing and qualified social worker roles. The findings illustrate how client organizations can become more involved in the HR management of agency workers than has previously been acknowledged in the literature. Our analysis also identifies the conditions that shape this client-side involvement, highlighting in particular the nature of agency worker contracts, competing organizational cost-control priorities and the regulatory context. These conditions are brought together in a general model for understanding the largely neglected role that client organizations play in the HR management of agency workers in core organizational roles.
Determination of Emotional Labor Behavior of Nursing Students

Objective: The purpose of this study is to determine the level of the emotional labor behavior of nursing students. Methods: This descriptive study was carried out on March 9-13, 2020 with the participation of 230 students who volunteered to participate in the study and in the nursing department of a university health school. Written permission was obtained from the ethics commitee of the university and the institution for the research. “Student Information Form” and “Emotional Labor Behavior Scale” were used for data collection. The data were analyzed in SPSS 22.0 program using Mann Whitney U, Kruskal Wallis and Spearman Correlation tests. p<0.05 was accepted as the statistical significance limit. Results: Students’ “Emotional Labor Behavior Scale of Nurses” mean of total score was found to be 3.97±0.03. The total score of scale, score of in-depth behavior and intimate behavior sub-dimensions of female students were found to be statistically significantly higher than males (p<0.05). It was determined that there is a weak negative correlation between age and scale total, intimate behavior and in-depth behavior subscale mean scores (p <0.05). It was found out that students there was a statistically significant difference according to family types in the intimate behavior sub-dimension of the students (p<0.05). Conclusion: As a result of the study, it was determined that student nurses have more emotional labor behaviors. In undergraduate education, it is recommended to include topics that address emotional labor and emotional management in theoretical courses into the curriculum, and clinical practice lecturers and clinical nurses to support student nurses as managers in communication, care and treatment processes with patients and team members.
Effect of Nutritional Quality of Diets Given to Broodstock on the Verge of Spawning on Reproduction of Red Sea Bream*t

This study was conducted to examine the effect of nutritional quality of diets given to brood stock on the verge of spawning on reproduction of red sea bream , and to clarify whether or not egg quality is improved by enhancing incorpration of pigments from diets. The percentage of buoyant eggs was found to be improved by supplementing pigments such as jS-carotene and•canthaxanthin or astaxanthin to the diets given to broodstock on the eve of spawning. Feeding frozen raw krill shortly before spawning also resulted in marked improvement in both the total eggs produced and the percentage of buoyant eggs. On the other hand, in the group fed on the corn oil diet on the verge of spawning the proportion of buoyant eggs was markedly reduced from the original value by replacement of cuttlefish liver oil with corn oil. The rate of hatching was not improved by addition of pigments, but abnormality in number and position of oil globules was reduced and consequently the total number of normal larvae obtained became higher than in the original broodstock. These values were also effectively improved by feeding on frozen raw krill and the percentage of normal larvae obtained from buoyant eggs was elevated from the original value of 51.6 % to 91.2 %, whereas replacement of cuttlefish liver oil with corn oil in the diet given to broodstock even in a short period during spawning resulted in lowering of these values.
CFD and surrogates-based inducer optimization

Due to the nature of cavitation numerical analyses, computational optimization of a pump with respect to the cavitation properties is extremely demanding. In this paper it is shown how a combination of Transient Blade Row (TBR) method and some simplifications can be used for making the optimization process more efficient and thus possible on current generation of hardware. The aim of the paper is not the theory of hydraulic design. Instead, the practical aspects of numerical optimization are shown. This is done on an example of a radial pump and a combination of ANSYS CFX, ANSYS software tools and custom scripts is used. First, a comparison of TBR and fully-transient simulation is made. Based on the results, the TBR method is chosen and a parametric model assembled. Design of Experiment (DOE) table is computed and the results are used for sensitivity analysis. As the last step, the final design is created and computed as fully-transient. In conclusion, the results are discussed.
Discontinuous noun phrases in Yucatec Maya1

This is an Open Access article, distributed under the terms of the Creative Commons AttributionNonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. Thewritten permission of CambridgeUniversity Pressmust be obtained for commercial re-use or in order to create a derivative work. doi:10.1017/S0022226720000419
High-Frame-Rate, Contrast-enhanced Ultrasound Particle Image Velocimetry in the Abdominal Aorta: first human results

Preliminary data were presented at the VEITH symposium, New York – NY – USA, 17-11-2017 Technical aspects were presented at the US Contrast Imaging symposium, Rotterdam, NL, 18-1-2018 Final outcomes were presented at the CX symposium, London – UK, 24-4-2018 This work Abstract Purpose – To study the feasibility of high-frame-rate (HFR) contrast material–enhanced (CE) ultrasound particle image velocimetry (PIV), or echo PIV, in the abdominal aorta. Materials and Methods – Fifteen healthy participants (six men; median age, 23 years [age range, 18– 34 years]; median body
a-Hydroxytamoxifen Is a Substrate of Hydroxysteroid (Alcohol) Sulfotransferase, Resulting in Tamoxifen DNA Adducts1

When a-hydroxytamoxifen (Â«-OHI AM) was incubated with rat liver hydroxysteroid (alcohol) sulfotransferase a (STa) and 3'-phosphoadenosine 5'-phosphosulfate, (E)-a-OHTAM was found to be a better sub strate for STa than (Z)-a-OHTAM. To explore the formation of tamoxifen (TAM)-derived DNA adducts, DNA was incubated with STa and either (E)-a-OHTAM or (Z)-a-OHTAM in the presence of 3'-phosphoadenosine S'-phosphosulfate. Using 32P-postlabeling analysis, the amount of TAMDNA adducts resulting from (E)-a-OHTAM was 29 times higher than that observed with (f)-a-OHTAM alone. Using (Z)-a-OHTAM and STa, some TAM-DNA adducts were also detected but at levels 6.5 times lower than that observed with (E)-a-OHTAM and STa. When compared with stand ards of stereoisomers of 2'-deoxyguanosine S'-monophosphate-A^-tamoxifen, the major tamoxifen adduct was identified chromatographically as an epimer of the trans form of a-(JV2-deoxyguanosinyl)tamoxifen, and the minor adduct was identified as an epimer of the civ form. In the reaction mixture, a conversion from (E)-a-OHTAM to (Z)-a-OHTAM through the carbocation intermediate was also detected. These results show that sulfation of a-OHTAM catalyzed by STa results in the formation of TAMDNA adducts.
Active Food Scientific Monitor

Dr. Gary Steven Frost studied dietetics at Leeds Polytechnic School and got a PhD in Nutrition at Kings College University of London. He is currently head of Therapy Services at Hammersmith Hospitals NHS Trust and responsible for the Nutrition and Dietetic Service, Physiotherapy, Occupational Therapy, Speech and Language Therapy. He is also Honorary Reader in Nutrition and Head of the Nutrition and Dietetic Research Group, Metabolic Medicine in the Division of Investigative Science of the Faculty of Medicine at the Imperial College at Hammersmith Campus in London, and External Lecturer for the Roehampton Institute. He is British Dietetic Association advisor to NICE on Diabetes, member of the Diabetes National Service Framework, member of the Cardiac HIMP and was a member of the NICE type-1 diabetes panel 20012003 and of the Recommendations Panel for type-2 diabetes from 1996 to 2002. He is also a member of the British Dietetic Association, the Health Professionals Council, the Nutrition Society, the Endocrine Society, the British Diabetic Association, the British Nutrition Society and serves as a referee for several renowned international scientific journals. In his spare free time, Dr. Frost does some running for pleasure, plays badminton and basketball. And he is a very keen gardener who grows for instance his own vegetables. It has been shown that the intake of dietary fibres has an impact on several intermediate markers of disease and health, and contributes to the modulation of blood cholesterol and triglyceride concentrations, glycaemia and insulinaemia, appetite and food intake, etc. In this respect dietary fibres such as inulin-type fructans can help reduce the risk of developing type-2 diabetes, heart disease and obesity in a number of people. Scientific evidence also shows that glycaemic response is strongly involved in the aetiology of these diseases.
RELATIONSHIP OF ABO BLOOD GROUP AND ORAL CANCER: A STUDY IN SELECTED GROUP OFINDIAN PATIENTS

The term “oral cancer” includes a diverse group of tumours arising from the oral cavity. Oral cancer has multifactorial aetiology and is associated with the risk factors of the individual‟s lifestyle, particularly chronic use of tobacco, alcohol and smoking. In India and South East Asia, chronic use of betel quid (pan) and tobacco chewing in the mouth has been strongly associated with an increased risk for oral cancer [1] .
Insulin-like Growth Factor-I Protects Colon Cancer Cells from Death Factor-induced Apoptosis by Potentiating Tumor Necrosis Factor a -induced Mitogen-activated Protein Kinase and Nuclear Factor k B Signaling Pathways 1

Resistance of cancer cells against apoptosis induced by death factors contributes to the limited efficiency of immune- and drug-induced de-struction of tumors. We report here that insulin and insulin-like growth factor-I (IGF-I) fully protect HT29-D4 colon carcinoma cells from IFN- g /tumor necrosis factor- a (TNF) induced apoptosis. Survival signaling initiated by IGF-I was not dependent on the canonical survival pathway involving phosphatidylinositol 3 * -kinase. In addition, neither pp70 S6K nor protein kinase C conveyed IGF-I antiapoptotic function. Inhibition of mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) with the MAPK/ERK kinase inhibitor PD098059 and MAPK/p38 with the specific inhibitor SB203580 partially reversed, in a nonadditive manner, the IGF-I survival effect. Inhibition of nuclear factor k B (NF- k B) activity by preventing degradation of the inhibitor of NF- k B (I k B- a ) with BAY 11-7082 also blocked in part the IGF-I antiapoptotic effect. However, the complete reversal of the IGF-I effect was obtained only when NF- k B and either MAPK/ERK or MAPK/p38 were inhibited together. Because these pathways are also those used by TNF to signal inflammation and survival, these data point to a cross talk between IGF-I-and TNF-induced signaling. We further report that TNF-induced IL-8 production was indeed strongly enhanced upon IGF-I addition, and this effect was totally abrogated by both MAPK and NF- k B inhibitors. The IGF-I antiapoptotic function was stimulus-dependent because Fas- and IFN/Fas-induced apoptosis was not efficiently inhibited by IGF-I. This was correlated with the weak ability of Fas ligation to enhance IL-8 production in the presence or absence of IGF-I. These findings indicate that the antiapoptotic function of IGF-I in HT29-D4 cells is based on the enhancement of the survival pathways initiated by TNF, but not Fas, and mediated by MAPK/p38, MAPK/ERK, and NF- k B, which act in concert to suppress the proapoptotic signals. In agreement with this model, we show that it was possible to render HT29-D4 cells resistant to Fas-induced apoptosis provided that IGF-I and TNF receptors were activated simul- taneously.
Mechanical properties of lightweight concrete after fire exposure

The paper presents an experimental research project that focused on analysing the short‐term residual mechanical properties of lightweight concrete after exposure to temperatures of up to 600 °C and the effects of the short‐term residual mechanical properties on the post‐fire loadbearing capacity of different concrete sections. The experimental programme was conducted on four different concrete mixes by determining the mechanical properties immediately after cooling and up to 96 h after cooling. The following properties were investigated: compressive strength, ultrasonic pulse velocity and stress‐strain curves. The results show that the compressive strength undergoes an additional reduction in comparison to the initial residual strength (0 h property) of up to 20 % in the reference time period. A numerical study is presented at the end of the paper in order to quantify the effects of the short‐term strength reduction on the axial loadbearing capacity of slender and stocky concrete columns.
Business analytics and big data research in information systems

ABSTRACT Business analytics and big data have been at the center of interest for researchers and practitioners for almost a decade now. The methods and processes that comprise business analytics, combined with the rich information that can be extracted from big data have enabled organizations to generate rich insight which is critical to decision making. The scientific inquiry in this interdisciplinary domain has had a long and successful history at the European Conference on Information Systems (ECIS). We provide a synthesis of prominent themes that have appeared during the past decade within the “Business Analytics and Big Data” track of ECIS. Based on the synthesis, we provide a narrative of how the field has evolved, as well as where we see future research efforts being focused. Specifically, we identify three areas that are likely to attract considerable research interest in the years to come. Within each of these three areas, we describe several key challenges that need to be addressed. We conclude with an overview of the six articles included in this special issue, and a description of how they contribute to our understanding of this domain.
Personal mental impacts of Christian faith in cross-cultural adaptation of Chinese migrants in Ireland

ABSTRACT Based on the rich extant research in the field of mental health in acculturation, it is calling to identify religion as one of the meditative variables of the relationship between acculturation and mental health. In addition, little knowledge exists about the detailed religious experience of Chinese migrants in Ireland. This research adopted classic grounded theory to guide data collection and analysis. The findings show that Christian faith plays a significant role as a mediator in the cross-cultural adaptation of the participants with two aspects of the mental impacts: helping to cope with mental stress and providing spiritual satisfaction. The results in this paper are part of the findings from an investigation of the religious experience of the participants during their cross-cultural adaptation in Ireland.
A data-based neural policy learning strategy towards robust tracking control design for uncertain dynamic systems

In this paper, a data-based neural policy learning method is established to solve the robust tracking control problem of a class of continuous-time systems which have two kinds of uncertainties at the same time. First, the robust trajectory tracking is achieved by controlling the tracking error to zero. The specific implementation strategy is to construct an augmented system including the tracking error and then transform the robust tracking control problem into an optimal control problem by selecting a suitable cost function. Then, a neural network identifier is built to reconstruct the unknown dynamics and a policy iteration algorithm is adopted by using a critic neural network. In this way, the Hamilton–Jacobi–Bellman equation can be solved. Through this learning algorithm, the approximate optimal control policy is obtained and the solution of the robust tracking control problem can be derived. Finally, two simulation examples are proposed to verify the effectiveness of the developed method.
A Descriptive study on dietary pattern and biophysical profile among nursing students

Healthy eating in childhood and adolescence is important for proper growth and development. Dietary patterns developed during adolescence may contribute to obesity and eating disorders and may increase the risk for several important chronic diseases later in life. 1 A descriptive study was conducted to assess the dietary pattern and biophysical profile among 200 female nursing students aged 17-25 years in College of Nursing, Dayanand Medical College & Hospital (DMCH), Ludhiana. Findings of the study revealed that 43.5% of the subjects were skipping their meal and among them 33% were substituting their meal with junk food Fasting was practiced by only 24% subjects. The study has shown that 66.5% of the total subjects were consuming junk food. All the subjects were consuming one or other type of snack in between the meals. Fruits & nutritional supplement was consumed by only 22% & 39.5% subjects respectively. Majority of the subjects were consuming mixed nutrient supplements. It was found that only few subjects i.e. 4 (2%) had systolic BP>130mm of Hg and only 2 (1 %) showed diastolic BP>90 mm of Hg. Sixty one (30.5%) subjects were having altered Body Mass Index [39 (19.5%) underweight & 22 (11 %) overweight], and there were 15 (7.5%) subjects who were found to have Waist to Hip Ratio (WHR) >85. Based on these findings, a retrospective approach to this study is recommended with a larger sample so as to know the cause of altered Body Mass Index, Waist to Hip Ratio and altered dietary pattern among the nursing students. There by preventive approach can be recommended.
Assessing glucose homeostasis in rodent models

The pathophysiology of diabetes as a disease is characterised by an inability to maintain normal glucose homeostasis. In type 1 diabetes, this is due to autoimmune destruction of the pancreatic b-cells and subsequent lack of insulin production, and in type 2 diabetes it is due to a combination of both insulin resistance and an inability of the b-cells to compensate adequately with increased insulin release. Animal models, in particular genetically modified mice, are increasingly being used to elucidate the mechanisms underlying both type 1 and type 2 diabetes, and as such the ability to study glucose homeostasis in vivo has become an essential tool. Several techniques exist for measuring different aspects of glucose tolerance and each of these methods has distinct advantages and disadvantages. Thus the appropriate methodology may vary from study to study depending on the desired end-points, the animal model, and other practical considerations. This review outlines the most commonly used techniques for assessing glucose tolerance in rodents and details the factors that should be taken into account in their use. Representative scenarios illustrating some of the practical considerations of designing in vivo experiments for the measurement of glucose homeostasis are also discussed. Key Words
HDnn-PIM: Efficient in Memory Design of Hyperdimensional Computing with Feature Extraction

Brain-inspired Hyperdimensional (HD) computing is a new machine learning approach that leverages simple and highly parallelizable operations. Unfortunately, none of the published HD computing algorithms to date have been able to accurately classify more complex image datasets, such as CIFAR100. In this work, we propose HDnn-PIM, that implements both feature extraction and HD-based classification for complex images by using processing-in-memory. We compare HDnn-PIM with HD-only and CNN implementations for various image datasets. HDnn-PIM achieves 52.4% higher accuracy as compared to pure HD computing. It also gains 1.2% accuracy improvement over state-of-the-art CNNs, but with 3.63x smaller memory footprint and 1.53x less MAC operations. Furthermore, HDnn-PIM is 3.6x-223x faster than RTX 3090 GPU, and 3.7x more energy efficient than state-of-the-art FloatPIM.