Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface-enhanced Raman scattering spectroscopic analysis of Saposhnikovia divaricata decoction

ABSTRACT Surface-enhanced Raman scattering spectroscopy was employed to analyze the biochemical composition of the Saposhnikovia divaricata decoction, which is a common traditional Chinese medicine. No reliable Raman peak was observed in traditional Raman spectra of Saposhnikovia divaricata decoction. However, 12 main Raman peaks (534, 616, 648, 685, 730, 781, 850, 958, 1242, 1319, 1460, and 1571 cm−1) were observed in the surface-enhanced Raman scattering spectroscopy spectra from the mixture of silver colloids with Saposhnikovia divaricata decoction as a result of the silver colloid enhanced effects on the Raman scattering of Saposhnikovia divaricata decoction. The results demonstrated that the surface-enhanced Raman scattering spectroscopy may provide a new kind of non-destructive, accurate, direct, and fast detecting method for the Saposhnikovia divaricata decoction or other traditional Chinese medicine in the form of decoction.
Firmicutes Levels in the Mouth Reflect the Gut Condition With Respect to Obesity and Early Childhood Caries

The present cross-sectional study investigated whether Firmicutes (F) and Bacteroidetes (B) levels in the mouth reflected the gut condition in obesity and early childhood caries (ECC). Eighty preschoolers (3-5 years) were equally assigned into four groups: 1. obese + ECC, 2. obese + caries-free (CF), 3. eutrophic + ECC, and 4. eutrophic + CF. Nutritional status and ECC were assessed based on the WHO criteria. Dental biofilm and fecal samples were collected for F and B quantification using RT-PCR analysis. Data were evaluated using three-way-ANOVA and Pearson’s correlation (α = 0.05). Regardless of the anatomical location effect (p = 0.22), there were higher values for F in the obese children + ECC compared with those in obese + caries-free (CF) in both mouth and gut (p < 0.05). The correlation for F at these sites was negative in obese children + ECC (r = −0.48; p = 0.03) and positive in obese children + CF (r=0.50; p = 0.03). Bacteroidetes were influenced by ECC (p = 0.03) and the anatomical location (p = 0.00), and the levels tended to be higher in the mouth of the obese children + ECC (p = 0.04). The F/B ratio was higher in the gut and was affected by the anatomical location (p = 0.00). This preliminary study suggested that modulated by ECC, counts of oral Firmicutes reflected corresponding condition in the gut of obese preschoolers. In addition, we first evidenced that the Firmicutes phylum behave differently according to the nutritional status and caries experience and that supragingival biofilm and gut could share levels of similarity.
SOS lower bound for exact planted clique

We prove a SOS degree lower bound for the planted clique problem on the Erdös-Rényi random graph G(n, 1/2). The bound we get is degree d = Ω(ϵ2 log n/ log log n) for clique size ω = n1/2−ϵ, which is almost tight. This improves the result of [5] for the "soft" version of the problem, where the family of the equality-axioms generated by x1 + . + xn = ω is relaxed to one inequality x1 + . + xn ≥ ω. As a technical by-product, we also "naturalize" certain techniques that were developed and used for the relaxed problem. This includes a new way to define the pseudo-expectation, and a more robust method to solve out the coarse diagonalization of the moment matrix.
Kontextbasierte Zitationsanalyse soziologischer Klassiker im Verlauf von 100 Jahren

zur Konferenz Digital Humanities im deutschsprachigen Raum 2017 Kontextbasierte Zitationsanalyse soziologischer Klassiker im Verlauf von 100 Jahren Messerschmidt, Reinhard reinhard.messerschmidt@uni-koeln.de Universität zu Köln, Deutschland
Incidence and impact of incivility in paramedicine: a qualitative study

Background Incivility or rudeness is a form of interpersonal aggression. Studies suggest that up to 90% of healthcare staff encounter incivility at work with it being considered ‘part of the job’. Methods Qualitative, in-depth, semistructured interviews (n=14) undertaken between June and December 2019. Purposive sampling was used to identify front-line paramedics working for one NHS Ambulance Trust. Interviews lasted between 16 and 45 min, were audiorecorded, verbatim transcribed and analysed using thematic analysis. Results Four themes were identified: paramedics reported a lack of respect displayed both verbally and non-verbally from other professional groups. The general public and interdisciplinary colleagues alike have unrealistic expectations of the role of a paramedic. In order to deal with incivility paramedics often reported taking the path of least resistance which impacts on ways of working and shapes subsequent clinical decision-making, potentially threatening best practice. Finally paramedics report using coping strategies to support well-being at work. They report that a single episode of incivility is easier to deal with but subsequent episodes compound the first. Conclusions This study highlights the effect incivility can have on operational paramedics. Incivility from the general public and other health professionals alike can have a cumulative effect impacting on well-being and clinical decision-making.
Strict glycaemic control in very low birthweight infants using a continuous glucose monitoring system: a randomised controlled trial

Objective To evaluate the efficacy of a strict glycaemic control protocol using a continuous glucose monitoring (CGM) in infants at high risk of dysglycaemia with the aim of reducing the number of dysglycaemic episodes. Design Randomised controlled trial. Setting Neonatal intensive care unit, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome. Patients All infants <1500 g fed on parental nutrition (PN) since birth were eligible. A total of 63 infants were eligible and 48 were randomised. Intervention All participants wore a CGM sensor and were randomised in two arms with alarms set at different cut-off values (2.61–10 mmol/L (47–180 mg/dL) vs 3.44–7.78 mmol/L (62–140 mg/dL)), representing the operative threshold requiring modulation of glucose infusion rate according to an innovative protocol. Main outcome measures The primary outcome was the number of severe dysglycaemic episodes (<2.61 mmol/L (47 mg/dL) or >10 mmol/L (180 mg/dL)) in the intervention group versus the control group, during the monitoring time. Results We enrolled 47 infants, with similar characteristics between the two arms. The number of dysglycaemic episodes and of infants with at least one episode of dysglycaemia was significantly lower in the intervention group (strict group): respectively, 1 (IQR 0–2) vs 3 (IQR 1–7); (p=0.005) and 12 (52%) vs 20 (83%); p=0.047. Infants managed using the strict protocol had a higher probability of having normal glycaemic values: relative risk 2.87 (95% CI 1.1 to 7.3). They spent more time in euglycaemia: 100% (IQR 97–100) vs 98% (IQR 94–99), p=0.036. The number needed to treat to avoid dysglycaemia episodes is 3.2 (95% CI 1.8 to 16.6). Conclusion We provide evidence that CGM, combined with a protocol for adjusting glucose infusion, can effectively reduce the episodes of dysglycaemia and increase the percentage of time spent in euglycaemia in very low birthweight infants receiving PN in the first week of life.
Leadership reflections a year on from the rapid roll-out of virtual clinics due to COVID-19: a commentary

COVID-19 changed the way we delivered care to our patients at our Hospital. Prior to the pandemic, no patient facing video clinics and only a small number of telephone clinics were held. In this paper, we share our experience of rapidly implementing virtual clinics (VCs) due to COVID-19. This commentary is based on focused discussions between hospital leaders and provides a reflective account and commentary on leadership lessons learnt from our experience of deploying VCs. We outline success factors (being able to capitalise on existing strategy, having time and space to establish VCs, using an agreed improvement framework, empowering a diverse and expert implementation team with a flat hierarchy, using efficient decision pathways, communication and staff willingness to change), technical challenges (patient capability and skills to use technology, patient connectivity and platform capacity) and considerations for the future (sustaining new ways of working, platform selection, integration, business continuity and commissioning considerations, barriers regarding capability and communication, effectiveness and clinical outcomes). Finally, we provide an overview of the leadership lessons from this project and identify key areas of focus for delivering successful change projects in future (the vision, allocation of resources, methodology selection and managing the skills gap).
Lamotrigine dimethyl­formamide sesquisolvate

In the title compound, C9H7N5Cl2·1.5C3H7NO, the asymmetric unit consists of two crystallographically independent lamotrigine [systematic name: 3,5-diamino-6-(2,3-dichloro­phenyl)-1,2,4-triazine] and three dimethyl­formamide mol­ecules. In the crystal structure, N—H⋯N and N—H⋯O hydrogen bonds lead to the formation of R22(8) and R32(8) motifs.
Intranasal delivery of asenapine loaded nanostructured lipid carriers: formulation, characterization, pharmacokinetic and behavioural assessment

The aim of the present research work was to develop asenapine (ASM) loaded nanostructured lipid carriers (ANLC) for the delivery of drugs in the brain by an intranasal route to enhance therapeutic efficacy. A quality by design approach was used for development and optimization of ANLC. A total of five independent variables were selected, in which three were compositions and two were process variables, while particle size and entrapment efficiency were selected as response variables. The final optimized batch was evaluated by various in vitro characterizations as well as in vivo brain and plasma pharmacokinetic studies. Finally, the ANLC was assessed for efficacy and safety profiling for upto three weeks by a behavior model viz. catalepsy, induced locomotor and paw test in Charles Foster rats. The observed particle size, entrapment efficiency and zeta potential of ANLC was found to be 167.30 ± 7.52 nm, 83.50 ± 2.48% and −4.33 ± 1.27 mV, respectively. Surface characterization studies demonstrated a spherical shape with a smooth surface of ANLC which follows the Korsmeyer–Peppas in vitro release kinetic model (r2 = 0.9911, n = 0.53). A brain pharmacokinetic study indicated a significantly higher (p < 0.05) peak drug concentration (Cmax: 74.13 ± 6.73 ng mL−1), area under the drug concentration–time curve (AUC0–24 h: 560.93 ± 27.85 h ng mL−1) and mean residence time (MRT: 7.1 ± 0.13 h) of ANLC compared to ASM in the brain via an intranasal route. The results of behaviour studies of ANLC showed a significant decrease in extra-pyramidal side effects with increasing antipsychotic effect after 1–2 week(s) of treatment. These findings demonstrate that nanostructured lipid carriers could be a new promising drug delivery system for intranasal delivery of asenapine in the treatment of schizophrenia.
9903 Hossain 2019 E.docx

This study explores the factors affecting turnover intention and proposes that turnover intention is influenced by two intraorganizational factors, namely, finesse factor and firm factor, and employees’ association to a specific job area. It also posits that country of job attenuates the relationships between the intra-organization factors and turnover intention. The findings indicate that the intraorganizational factors – finesse factor and firm factor – have a negative relationship with turnover intention. This implies that the more positively the employees perceive the intra-organizational factors in an organization, the lower their intention to leave the organization. Employees’ associations to various job practice areas have also been found to have a differing significant impact on their intention to leave an organization. Finally, country of job has a moderating effect on the relationships between the firm factor and turnover intention, and between the finesse factor and turnover intention.
SRPH Journal of Applied management and Agile Organisation

Received date: 28 November, 2019 Review date: 7 February 2020 Accepted date:25 May 2020 Abstract The present study aims to select the appropriate model to study the relationship between timeliness and reliability scores of financial reporting quality. The sample of the population was selected for the period of 8 years, according to the financial statements of the stock companies during 2005 to 2012. After taking the sample and collecting the data, variables were calculated and the statistical analysis was performed through statistical software. Finally, the results showed that disclosure quality (reliability and timeliness) of financial reporting has relatively weak and direct impact on the quality of financial reporting by the companies listed in Tehran Stock Exchange. This means that the increase in reliability and timeliness of financial reporting will increase the quality of corporate financial reporting.
Integrating Sensors and Exploiting Sensor Data with GIFT for Improved Learning Analytics

The Generalized Intelligent Framework for Tutoring (GIFT) was constructed in order to make it easier to create intelligent tutoring systems (ITSs), develop a shared set of authoring tools to do so, and to enable research in ITS (e.g., Sottilare, Goldberg, Brawner, & Holden, 2012). ITS research takes many forms; as an example, some of this research is intended to support existing training simulations (e.g., Brawner, Holden, Goldberg, & Sottilare, 2011). Further, some of this research is in the manners in which to model a learner (Brawner & Goldberg, 2012; Goldberg, Sottilare, Brawner, & Holden, 2011). Some of these models of the learner are not solely based on interactions that they have within the environment, but also upon sensors (e.g., Brawner, 2017; Brawner, Sottilare, & Gonzalez, 2012). Such sensors can either be based in software, analyzing information such as system interactions and clicks, or hardware (e.g., DeFalco et al., 2017), with sensors which sense physical items such as posture or gaze.
JAW: Studying Client-side CSRF with Hybrid Property Graphs and Declarative Traversals

Client-side CSRF is a new type of CSRF vulnerability where the adversary can trick the client-side JavaScript program to send a forged HTTP request to a vulnerable target site by modifying the program’s input parameters. We have little-to-no knowledge of this new vulnerability, and exploratory security evaluations of JavaScript-based web applications are impeded by the scarcity of reliable and scalable testing techniques. This paper presents JAW, a framework that enables the analysis of modern web applications against client-side CSRF leveraging declarative traversals on hybrid property graphs , a canonical, hybrid model for JavaScript programs. We use JAW to evaluate the prevalence of client-side CSRF vulnerabilities among all (i.e., 106) web applications from the Bitnami catalog, covering over 228M lines of JavaScript code. Our approach uncovers 12,701 forgeable client-side requests affecting 87 web applications in total. For 203 forgeable requests, we successfully created client-side CSRF exploits against seven web applications that can execute arbitrary server-side state-changing operations or enable cross-site scripting and SQL injection, that are not reachable via the classical attack vectors. Finally, we analyzed the forgeable requests and iden-tiﬁed 25 request templates, highlighting the ﬁelds that can be manipulated and the type of manipulation.
Precedent Comparison in the Precedent Model Formalism: Theory and Application to Legal Cases

Comparison between precedents and case facts is a core issue in case-based reasoning, which has been discussed in a lot of research. In this paper, we use a recently developed precedent model formalism to discuss precedent comparison in case-based reasoning. With this formalism and a case study in a real legal domain, we show a new generalization and a new reﬁnement of precedent comparison with respect to case-based reasoning approaches based on factors, such as HYPO and CATO. 1) Generalization: precedents and case facts can now be compared with general propositional formulas, and not only with factors. 2) Reﬁnement: a distinction can be made between current analogies and distinctions in precedent models, and so-called relevances, i.e., unshared formulas between two precedents that are relevant for possible additional analogies and distinctions that can arise in a discussion. With these contributions the role of factors in case-based reasoning can be reﬁned and compound formulas based on factors can be taken into account in case-based reasoning.
Determining Factors Affecting the Acceptance of Grab Application in the Philippines using UTAUT2 Approach

This study tackles about the factors influencing user's usage of Grab application in the Philippines to which we adapted the concept framework of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by Venkatesh et al. and Structural Equation Modeling (SEM) for the statistical analysis. The result of the research shows that habit significantly influence the users in their intention of using Grab, while the strongest predictor in the model was shown to correlate between hedonic motivation influence to performance expectancy. Filipino users were observed to value the enjoyment that they experience on the benefit from using the application and services while the habitual usage deemed to be the only significant reason why they will intend to use the application. With these along the other significant variables analyzed in the research, the overall result may be of great help in providing insights to Grab, on how they are faring in the Philippines market and to what factors should they focus more in improving their influence – in terms of mobile technology and services.
The Noise Attenuation and Stochastic Clutter Removal of Ground Penetrating Radar Based on the K-SVD Dictionary Learning

The ground penetrating radar (GPR) data in the complex detection environment is non-stationary, non-Gaussian, and non-uniform, so the traditional noise attenuation methods are difficult to meet the requirements of denoising. Therefore, we introduced the K-singular value decomposition (K-SVD) dictionary learning into the denoising of GPR signals. It uses the orthogonal matching pursuit (OMP) algorithm to sparse decompose different radar data and trains the overcomplete dictionary with sample characteristics. K-SVD makes full use of the prior information and can extract features according to the sample data adaptively, which means it has strong sparse representation competence. Because radar signals can be sparsely represented in the dictionary, whereas the random noise does not have a sparse representation, the K-SVD dictionary can be used to distinguish effective signals from noise in the GPR data. We used the discrete cosine transform (DCT) and K-SVD dictionaries to process the Gaussian noise and stochastic clutter in the GPR profile. The results show that both K-SVD and DCT can effectively suppress the Gaussian noise. But for the clutter generated by the random medium, the DCT dictionary also causes damage to the effective signals while removing the noise; whereas the K-SVD dictionary learning algorithm uses the DCT dictionary as the initial dictionary and carries out adaptive learning on the noisy data, considering the information in the block and the global observation to complete the denoising, with good denoising effect and high fidelity. We finally verified the effectiveness and practicability of the K-SVD method for measured data.
Venture capital and the access of bank loans: evidence from China––based on the economic models

Based on the certification mechanism and state-owned property rights mechanism, this paper takes 2009-2019 listed enterprises as samples to study the impact of venture capital participation on the availability of corporate bank loans by economic models. The paper finds that the participation of venture capital can significantly improve the availability of bank loans. The participation of state-owned venture capital institutions can reduce the market information asymmetry between private enterprises and banks, bring more bank loan scale for private enterprises. This finding provides new evidence for the positive influence of state-owned venture capital on the availability of corporate bank loans.
Folded Empty Substrate Integrated Waveguide With a Robust Transition to Grounded Coplanar Waveguide in the Ku Band

The benefits of empty substrate integrated waveguide (ESIW) are already well-known and contrasted in the literature. Different variations of transitions are available to maximize the power injection in that structure. Besides, several topological variations of the ESIW have also been proposed, such as the ridge ESIW, which enlarges the monomode bandwidth at the cost of higher losses and larger cross-section area. This paper presents a new variation of topology: the folded-ESIW, that halves the width of the original ESIW waveguide and maintains the cross-section area with good performance indexes and a similar bandwidth. A discussion is made about the feasibility of this novel topology and a new transition is presented with a high degree of robustness and a minimum electrical length. To validate and prove this new proposal, a back-to-back prototype has been designed, manufactured and measured, with results so promising that give access to new design strategies in the ESIW field.
Cooperating Networks To Enforce A Similarity Constraint In Paired But Unregistered Multimodal Liver Segmentation

We propose a method for segmenting two unregistered images from different modalities of the same patient and study at once, while enforcing a similarity constraint between the two segmentation masks. Our method relies on a segmentation network and a registration network, cooperating to get accurate and consistent segmentation masks across modalities, while forcing the segmentor to use all information available. Experiments on a dataset of T1 and T2-weighted liver MRI show that our method enables to get more similar segmentation masks across modalities than manual annotations, without deteriorating the performance (Dice =0.95 for T1, 0.92 for T2).
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation

Universal lesion detection in computed tomography (CT) images is an important yet challenging task due to the large variations in lesion type, size, shape, and appearance. Considering that data in clinical routine (such as the DeepLesion dataset) are usually annotated with a long and a short diameter according to the standard of Response Evaluation Criteria in Solid Tumors (RECIST) diameters, we propose RECIST-Net, a new approach to lesion detection in which the four extreme points and center point of the RECIST diameters are detected. By detecting a lesion as keypoints, we provide a more conceptually straightforward formulation for detection, and overcome several drawbacks (e.g., requiring extensive effort in designing data-appropriate anchors and losing shape information) of existing bounding-box-based methods while exploring a single-task, one-stage approach compared to other RECIST-based approaches. Experiments show that RECIST-Net achieves a sensitivity of 92.49% at four false positives per image, outperforming other recent methods including those using multi-task learning.
Content-based Music Recommendation System

Building a music recommendation system is one of information retrieval tasks. This research is devoted to a content-based music recommender system. The main peculiarity of our work is that the developed recommender system is based on the acoustic similarity of musical compositions. Two approaches of building a content-based music recommender system are considered in this paper. The first is a quite common approach that uses acoustic features analysis. The second approach includes deep learning and computer vision methods application aimed at improving the results of the recommender system.