Miracle-dz/UniFAR-FTUs huggingface dataset:
Interventions to support e ﬀ ective communication between maternity care sta ﬀ and women in labour: A mixed-methods systematic review

Objectives: the objectives of this review were (1) to assess whether interventions to support e ﬀ ective communication between maternity care sta ﬀ and healthy women in labour with a term pregnancy could improve birth outcomes and experiences of care; and (2) to synthesize information related to the feasibility of implementation and resources required. Design: a mixed-methods systematic review. Setting and participants: studies which reported on interventions aimed at improving communication between maternity care sta ﬀ and healthy women during normal labour and birth, with no apparent medical or obstetric complications, and their family members were included. ‘ Maternity care sta ﬀ ’ included medical doctors (e.g. obstetricians, anaesthetists, physicians, family doctors, paediatricians), midwives, nurses and other skilled birth attendants providing labour, birth and immediate postnatal care. Studies from all birth settings (any country, any facility including home birth, any resource level) were included. Findings: two papers met the inclusion criteria. One was a step wedge randomised controlled trial conducted in Syria, and the other a sub-analysis of a randomised controlled trial from the United Kingdom. Both studies aimed to assess e ﬀ ects of communication training for maternity care sta ﬀ on women's experiences of labour care. The study from Syria reported that a communication skills training intervention for resident doctors was not associated with higher satisfaction reported by women. In the UK study, patient-actors ’ (experienced midwives) perceptions of safety and communication signi ﬁ cantly improved for postpartum haemorrhage scenarios after training with patient-actors in local hospitals, compared with training using manikins in simulation centres, but no di ﬀ erences were identi ﬁ ed for other scenarios. Both studies had methodological limitations. Key conclusions and implications for practice: the review identi ﬁ ed a lack of evidence on impact of interventions to support e ﬀ ective communication between maternity care sta ﬀ and healthy women during labour and birth. Very low quality evidence was found on e ﬀ ectiveness of communication training of maternity care sta ﬀ . Robust studies which are able to identify characteristics of interventions to support e ﬀ ective communication in maternity care are urgently needed. Consideration also needs to be given to how organisations prepare, monitor and sustain interventions to support e ﬀ ective communication, which re ﬂ ect outcomes of priority for women, local culture and context of labour and birth care.
Adaptive Method for Trends in Ranking of Tourist Spots

—In recent years, for tourists deciding on a destination for a trip, demand for websites, such as TripAdvisor, for obtaining tourist information is increasing. These websites usually rank tourist spots with user reviews. Regarding tourist spots, trends appear in their popularity. When ranking tourist spots solely by reviews posted on these websites for obtaining tourist information, the possibility exists that new tourist spots and tourist spots with actively changing popularity are not ranked higher in rankings. However, a user needs to ﬁnd the most enjoyable tourist spots at the time of the visit in the ranking of tourist spots. Therefore, we use tweets in this study as comments for tourist spots with high recency to generate a ranking of tourist spots considering popularity variation. Then, we model the ranking of tourist spots on TripAdvisor using tweets. After analyzing the contribution rates of classiﬁcation for linguistic features and statistical features on tweets, we performed ranking of learning with effective features and generated a ranking of tourist spots considering popularity variation. Finally, our experimental results showed that tourist spots holding exhibitions or other activities frequently are ranked higher.
Classiﬁ cation of anti-estrogens according to intramolecular FRET effects on phospho-mutants of ERα

Anti-estrogen resistance is a major clinical problem in the treatment of breast cancer. In this study, Fluorescence Resonance Energy Transfer (FRET) analysis, a rapid and direct way to monitor conformational changes of ERα upon anti-estrogen binding, was used to characterize resistance to anti-estrogens. Nine different anti-estrogens all induced a rapid FRET response within minutes after the compounds have liganded to ERα in live cells, corresponding to an inactive conformation of the ERα. Phosphorylation of serine 305 and/or serine 236 of ERα by protein Kinase A and of serine 118 by MAP kinase inﬂuenced the FRET response differently for the various anti-estrogens. PKA and MAPK are both associated with resistance to anti-estrogens in breast cancer patients, Their respective actions can result in seven different combinations of phospho-modiﬁcations in ERα where the FRET effects of (a) particular anti-estrogens(s) are nulliﬁed. The FRET response provided information on the activity of ERα under the various anti-estrogen conditions as measured in a traditional reporter assay. Tamoxifen and EM-652 were the most sensitive to kinase activities, whereas ICI-182,780 (Fulvestrant) and ICI-164,384 were the most stringent. The different responses of anti-estrogens to the various combinations of phospho-modiﬁcations in ERα elucidate why certain anti-estrogens are more prone than others to develop resistance. These data provide new insights into the mechanism of action of anti-hormones and are critical for selection of the correct individual patient-based endocrine therapy in breast cancer.
Temperature effect on energy partitioning and fast heat production of Anglo Nubian and Saanen goats

: The objective of this work was to determine the effect of temperature on energy balance and basal metabolism of Saanen and Anglo Nubian goats, using indirect calorimetry system. Six dry and non-pregnant Saanen (53.7 ± 7.7 kg BW) and six dry and non- pregnant Anglo Nubian (56.4 ± 8.0 kg BW) goats, which were on average 5 years old, were used in a factorial design 2 x 3 (2 breeds and 3 temperatures). The experimental period consisted of three stages corresponding to the temperature of 10.0 ± 0.23°C, 20.0 ± 0.41°C and 35.0 ± 1.05°C. The adaptation period in each temperature lasted 21 days. Goats were allocated to individual metabolism cages to perform the metabolism assay and gas exchange measurements concomitantly. During feeding period, gas measurement was performed using an open-circuit facemask respirometry in groups of four animals (two of each breed). After that, goats were subjected to 60-h fasting (no feed) to estimate fasting heat production (FHP) or basal metabolism. Irrespective of breed, DM intake (DMI) and organic matter intake (OMI) decreased linearly as ambient temperature increased. During feeding period, rectal temperature was not affect by ambient temperature, but respiratory rate (BPM) and evaporative water loss (EWL) increased linearly with temperature elevation. Saanen´s rectal temperature and BPM were higher than Anglo Nubian´s. Irrespective of breed (P = 0.59), heat production (HP) showed a quadratic effect with the lowest values at 20ºC. Conversely, FHP showed a quadratic effect with a tendency of decreasing at increasing rate in temperature above 20º up to 35ºC. Consequently heat increment (HI) showed quadratic effect with a sharp increase when the ambient temperature rose from 20 to 35ºC. In conclusion, Saanen and Anglo Nubian goats are able to maintain homeostasis in environments between 10 and 35ºC. On the other hand, the increase in ambient temperature leads to lower intake, resulting in negative energy balances. Above 20°C, goats tend to decrease fasting heat production, as an attempt to spare heat load in hot environments.
Generation of artificial geomagnetic micropulsations with a large ground- based current loop. Technical report, January 1971--June 30, 1972

Abstract : The purpose of this study is to investigate and, if possible, establish the feasibility of producing artificial geomagnetic micropulsations by using a large horizontal current loop on the ground. Most natural micropulsations appear to be produced by hydromagnetic (hm) waves propagating in the ionosphere and/or the magnetosphere, and the term 'artificial micropulsations' is used to mean artificially produced hm waves with propagation characteristics similar to those of the natural signals. The critical quantity in the generation process for the hm waves is to the amplitude of the magnetic field variation that can be produced in the ionospheric E-region by the ground- based loop. Currents are induced in the conducting earth beneath the loop whenever its current is varied, and these currents have a magnetic field opposing the magnetic field of the loop. If either the conductivity of the earth or the variation frequency is too high the field at E-region heights may be reduced to a level where negligible hm wave amplitudes are produced. The effect of these earth currents is calculated for an assumed single-layer earth and for a wide range of frequencies and earth conductivities.
Progress in Transport Modelling of Internal Transport Barrier Plasmas in JET

Association EURATOM-Tekes, VTT Processes, P.O. Box 1608, FIN-02044 VTT, Finland Association EURATOM-CEA, CEA Cadarache, 13108, St Paul-Lez-Durance, France EURATOM/UKAEA Fusion Association, Culham Science Centre, Oxon. OX14 3DB, UK Associazione EURATOM-ENEA sulla Fusione, Via Enrico Fermi 27, 00044 Frascati, Italy Istituto di Fisica del Plasma CNR-EURATOM, via Cozzi 53, 20125 Milano, Italy Association EURATOM-Tekes, Helsinki University of Technology, FIN-02015, TKK, Finland Association EURATOM-VR, Chalmers University of Technology, Goteborg, Sweden See Annex 1 in PAMELA, J. et al., "Overview of JET results", Fusion Energy 2004 (Proc. 20th Int. Conf. Vilamoura, 2004), OV/1-2, IAEA, Vienna See, Gohil P. et al., Nuclear Fusion, 43, 708 (2003) Email: tuomas.tala@vtt.fi
SYNTHESIS AND PROPERTIES OF DOPED TMDS

Two-dimensional (2D) materials have been intensively studied since graphene was discovered by Novoselov et al. (2004). The isolation of graphene from graphite demonstrated the possibility of isolating other stable monolayer or few-layer 2D materials, such as hexagonal boron nitride, silicene, and transition metal dichalcogenides (TMDs). The representative atomic structures of some 2D materials are shown in Fig. 1 (Tedstone et al., 2016). TMDs are generally denoted as MX2, where M is the transition metal (Mo, W, Ti, V, etc.) and X is a chalcogen (S, Se, Te, etc.); these atoms are layered as X-M-X units by van der Waals bonding (Tedstone et al., 2016). Theoretically, there are 88 combinations of TMDs, but it was discovered using density functional theory (DFT) that only 44 stable monolayer or few-layer TMDs can exist stably (Ataca et al., 2012). The stability of few-layer TMDs is important because these mater ials have layer-dependent properties. It is known that the bulk may have an indirect bandgap (Eg=1.29 eV) and the monolayer may have a direct bandgap (Eg=1.90 eV) for MoS2 (Wang et al., 2012). The exceptional bandgap structures of monolayer or few-layer TMDs endow them with enhanced optical and electrical properties. Therefore, 2D TMDs are expected to be useful for various applications, such as field effect transistors (FETs), optoelectronic devices, topological insulators, and elec tro catalysts (Wang et al., 2015). In particular, 2D TMDs have attractive prospects as tunable high-performance chan nel materials for FETs (Mak et al., 2013). To extend the potential of 2D TMDs, tuning of their pro perties is essential; diverse methods to accomplish this have been proposed, such as inducing strain, intercalation, controlling the layer number, and doping. In this article, the doping methods and the resulting enhanced properties of 2D TMDs are reviewed. The synthesis methods and the dopant atoms greatly influence the morphologies and properties of these mater ials. Therefore, selecting both an appropriate synthesis method and an appropriate species of dopant are critical.
Quality Evaluation of Test Oracles Using Mutation

—In software development, product quality is directly related to the quality of the development process. Therefore, Verification, Validation & Test (VV&T) activities performed through methods, techniques, and tools are needed for increasing productivity, quality, and cost reduction in software development. An essential point for the software testing activity is its automation, making it more reliable and less expensive. For the automation of testing activities, automated test oracles are crucial, representing a mechanism (program, process, or data) that indicates whether the output obtained for a test case is correct. In this paper, we use the concept of program mutation to create alternative implementations of oracles and evaluate their quality. The main contributions of this paper are: (1) propose specific mutation operators for oracles; (2) present a useful support tool for such mutation operators; and (3) establish an alternative to evaluate assertion-based test oracles. Through an empirical evaluation, our main finding is that mutations may help in assessing and improving the quality of test oracles, generating new oracles and/or test cases and decreasing the rate of test oracles errors.
Analysis of the Role of RsbV, RsbW, and RsbY in Regulating (cid:2) B Activity in Bacillus cereus

The alternative sigma factor (cid:1) B is an important regulator of the stress response of Bacillus cereus . Here, the role of the regulatory proteins RsbV, RsbW, and RsbY in regulating (cid:1) B activity in B. cereus is analyzed. Functional characterization of RsbV and RsbW showed that they act as an anti-sigma factor antagonist and an anti-sigma factor, respectively. RsbW can also act as a kinase on RsbV. These data are in line with earlier functional characterizations of RsbV and RsbW homologs in B. subtilis . The rsbY gene is unique to B. cereus and its closest relatives and is predicted to encode a protein with an N-terminal CheY domain and a C-terminal PP2C domain. In an rsbY deletion mutant, the (cid:1) B response upon stress exposure was almost completely abolished, but the response could be restored by complementation with full-length rsbY . Expression analysis showed that rsbY is transcribed from both a (cid:1) A -dependent promoter and a (cid:1) B -dependent promoter. The central role of RsbY in regulating the activity of (cid:1) B indicates that in B. cereus , the (cid:1) B activation
Nuclear and Methods in Physics Research, A Hardware based contrast enhancement and cupping reduction in industrial MeV Cone Beam Computed Tomography

This work investigates a detector sided filter concept for contrast enhancement and cupping reduction in an industrial Mega Electronvolt (MeV) Cone Beam Computed Tomography (CBCT) system employing a 6MeV linear accelerator source and a commercial Gadox based flat panel imager. The method was evaluated using a steel step cylinder sample in order to test the efficiency of the hardware based improvement for various material transmission lengths. An overall improvement of the reconstructed signal for the suggested detector filter configurations with respect to the non-filtered measurements can be observed. Furthermore, equivalent source sided filtrations are shown to be less effective than their detector sided counterpart. Of the detector filter configurations studied in this work, a 2mm lead filter caused the maximal contrast enhancement, while a 5mm copper filter lead to better results with regard to cupping artefact reduction.
Phenolic content and antioxidant activity of lychee seed extract

The study is aimed to investigate the total phenolic content and antioxidant activity of Litchi chinensis seed extract. Total phenolic content was 89.5 ± 3.7 mg GAE/g extract. The antioxidant activity of extract was perform by DPPH method. In DPPH assay, the scavenging activity on DPPH radical IC 50 was 0.65 mg/mL while IC 50 value of ascorbic acid was 0.16 mg/mL
A Study on the Application of Deep Learning Models to Mouse Behavior Recognition

In life science researches, we use many animals for studying biology, psychology or for developing new therapies or medicines. In these researches, observing the behaviors of the animals is a crucial and hard-working step to get the data which is needed for answering research questions. Therefore, it’s necessary to have a reliably automated behavior recognition system to delegate these works to computers to not only eliminate the limitation of human assessments but also make the experiments easier to reproduce. In recent years, with the great increasing in computing power and the introducing of effective algorithms, deep learning has been successfully applied to many application fields, especially in computer vision. With the introduction of deep learning techniques, computers are gradually replacing human in many tasks, such as object detection, pose estimation or action recognition. Therefore, in this research, we studied to apply deep learning models in solving mouse behavior recognition problems to help to create such reliably automated mouse behavior recognition systems. And in order to solve the scarcity of training data for mouse behavior recognition problems, we proposed a method that not require a large amount annotated mouse behavior data to train deep learning models for mouse behavior recognition tasks. In our method, we utilize pre-trained deep learning models from human action recognition tasks. In the first step, we fine-tune these pre-trained models using the largest of the current publicly available mouse behavior datasets to give the models some knowledge about recognizing mouse behaviors. Then, we use data which we have annotated from our specific swimming mouse behavior recognition tasks to train these models again to get models that could solve our specific swimming mouse behavior recognition problems. Because the fine-tuned models after the first step have learned the knowledge about mouse behaviors, we do not need a large amount of data to train them for our specific tasks in the second step. By applying our proposed method, in a side view swimming mouse behavior recognition task, we achieved a prediction accuracy of 92.14%, and in a top view swimming mouse behavior recognition task, we achieved a prediction accuracy of 85.38%.
Search for the magnetic field of the O7.5 III star ξ Persei

Abstract Cyclical wind variability is an ubiquitous but as yet unexplained feature among OB stars. The O7.5 III(n)((f)) star ξ Persei is the brightest representative of this class on the Northern hemisphere. As its prominent cyclical wind properties vary on a rotational time scale (2 or 4 days) the star has been already for a long time a serious magnetic candidate. As the cause of this enigmatic behavior non-radial pulsations and/or a surface magnetic field are suggested. We present a preliminary report on our attempts to detect a magnetic field in this star with high-resolution measurements obtained with the spectropolarimeter Narval at TBL, France during 2 observing runs of 5 nights in 2006 and 5 nights in 2007. Only upper limits could be obtained, even with the longest possible exposure times. If the star hosts a magnetic field, its surface strength should be less than about 300 G. This would still be enough to disturb the stellar wind significantly. From our new data it seems that the amplitude of the known non-radial pulsations has changed within less than a year, which needs further investigation.
Characterization of the AtsR phosphorelay pathway and identification of its response regulator in Burkholderia cenocepacia *

Background: AtsR is a Burkholderia cenocepacia hybrid sensor kinase that negatively regulates quorum sensing. Results: The AtsR phosphorelay mechanism includes the AtsT cognate response regulator. Conclusion: AtsR regulation occurs through phosphorylation of AtsT, which is fine tuned by the AtsR receiver domain. Significance: The AtsR/AtsT phosphorelay pathway uncovers a major global regulator of B. cenocepacia pathogenicity. ABSTRACT AtsR is a membrane-bound hybrid sensor kinase of Burkholderia cenocepacia that negatively regulates quorum sensing and virulence factors such as biofilm production,
Oral Sildenaﬁl as Long-Term Adjunct Therapy to Inhaled Iloprost in Severe Pulmonary Arterial Hypertension

OBJECTIVES We sought to investigate the impact of adjunct sildenaﬁl on exercise capacity and hemodynamic parameters in patients with pulmonary arterial hypertension (PAH) who fulﬁlled predeﬁned criteria of deterioration despite ongoing treatment with inhaled iloprost. BACKGROUND Inhaled iloprost is an effective therapy in PAH. The phosphodiesterase-5 inhibitor sildenaﬁl exerts pulmonary vasodilation and may amplify prostanoid efﬁcacy. METHODS Of 73 PAH patients receiving long-term inhaled iloprost treatment, 14 fulﬁlled criteria of deterioration unresponsive to conventional treatment. These patients received adjunct oral sildenaﬁl over a period of nine to 12 months, leaving the inhalative iloprost regimen unchanged. (cid:2) of York Heart Association functional classes (IV/III/II) from September 9, sildenaﬁl, to January 8, 2003, after nine to 12 months with sildenaﬁl. All hemodynamic variables changed favorably: pulmonary vascular resistance decreased from 2,494 (cid:1) 256 before sildenaﬁl to 1,950 (cid:1) 128 dynes (cid:1) s (cid:1) cm (cid:3) 5 (cid:1) m 2 after three months of adjunct sildenaﬁl (p (cid:2) 0.036). Two patients died of severe pneumonia during the period of combined therapy. No further serious adverse events occurred. CONCLUSIONS In patients with severe PAH deteriorating despite ongoing prostanoid treatment, long-term adjunct oral sildenaﬁl improves exercise capacity and pulmonary hemodynamics. A combi- nation of prostanoids and sildenaﬁl is an appealing concept for future treatment of pulmonary hypertension. (J 2003;42:158–64) Foundation
Optimization of Mediterranean Rainfed Pasture Systems in Portuguese Conditions, Based on a Linear Programing Model

Mediterranean annual Natural Pastures (NP) constitutes 78% of Portuguese pastures. The alternative - sown pastures with annual legumes mixtures (SC) - is known to have higher productivity and protein content. Several factors might explain why farmers do not adopt this technique fully. One possible explanation, which has not been studied so far, is that farmers use SC just as a complement to NP, thus increasing pasture availability. We tested this hypothesis, using a model to optimize Gross Margin (GM) of sheep production system, according to the proportion of NP: SC areas. The model was based on linear programming, calculating ewe supplementation at minimum cost, in each pasture growth period. Pastures yield and nutritive value data derived from a field trial. A sensitivity analysis of GM to costs, sales and direct ewe subventions was performed. Maximal GM were obtained for areas of 37% SC (subventions not included in returns) or 86% SC otherwise. GM was more sensitive to sales variation than to cost variation. Above the NP: SC corresponding to maximal income, our model showed that GM was highly dependent on sales value. This dependency was attenuated by subventions. Capital investment efficiency decreased with intensification of the production system. In addition, our model showed that production system intensification resulted in a loss of economic robustness of incomes, in relation to costs and sales variation. We suggest these might explain why farmers increase SC area with caution and only in part of their pasture area.