Miracle-dz/UniFAR-FTUs huggingface dataset:
RMHP_A_290111 1319..1326

1OPEN – Open Patient Data Explorative Network, Odense University Hospital, Department of Clinical Research, University of Southern Denmark, Odense C, DK-5000, Denmark; 2Danish Patient Compensation Association, Copenhagen V, DK-1560, Denmark Purpose: The study aimed to translate and cross-culturally adapt the English version of the HCAT to produce a Danish HCAT version and to test the Danish version’s reliability. Methods: We used best-practice guidelines for linguistic translations and cultural adaptations. For cross-cultural adaptation, we conducted forward and back translation followed by expert committee review. Subsequently, two researchers assessed 140 complaint cases to test intraand inter-rater reliability of the Danish HCAT version. We used descriptive statistics for distributions and tested for differences between English and Danish editions Intraand inter-rater reliability used Gwet’s AC1 statistics, applying quadratic weights to assign more weight to large discrepancies. Results: The back translations showed both semantic and conceptual differences, and the expert committee thus discussed the meaning of the wording in the HCAT guide and coding form to ensure that the Danish version would be conceptually similar to the English version but also culturally appropriate for Danish settings. There was discussion about how to use the coding form to graduate problem severity, and this led to some altered wording. Pilot testing revealed the need for two new categories of “hospital-acquired infection” and “involvement of patients’ relatives”. The problem categories of the HCAT-DK showed “substantial” intraand inter-rater reliability (0.79, and 0.79 to 0.85). In addition, there was a “substantial” agreement (0.70 to 0.73) between the original HCAT and the HCAT-DK version. Conclusion: The study translated and cross-culturally adapted the English HCAT version to produce a Danish HCAT version. Cultural and conceptual differences led to adjustments and to addition of two extra items in the HCAT-DK. The Danish version showed “substantial” intraand inter-rater reliability and is considered suitable for coding complaint and compensation cases in Danish health care.
Insilico physiochemical and structural characterization of hypopothetical proteins of Theileria annulata

Theileria annulata is one important apicomplexon parasite which causes a serious disease such as tropical theileriosis in cattle. With advancement of bioinformatics and genetic sequencing, although lots of important protein of this parasite have been well characterized, but there are some hypopothetical proteins still existing needs to be physiochemically and structurally analyzed due to their high importance, through insilico platform. In this study, six hypothetical proteins were randomly selected and analyzed through in Pfam and CD Blast to find conserved domain in their structure. The physiochemical characters were characterized through EXPASY Protparam application programme and secondary, three dimensional structures were predicted through GORIV and SWISS homology modeling software tool respectively. It was found that the conserved domains from families like Der1, WD 40, AP2, and PA14 are present in this organism and maximum numbers of these proteins are found as stable, soluble and hydrophilic in nature that will provide a suitable therapeutic target against this parasite. The structural organization study revealed that these proteins contain abundant number of random coils followed by alpha helix and exist in monomer with low QMEAN Z score upon SWISS homology modeling. So this study would provide a better platform for the researchers to develop a suitable therapeutic strategy against Theileria annulata in docking studies in nearest future.
Analysis and Design of a Metamaterial based Microstrip Antennas

— In the course of the past ten years, a great attention in the research of metamaterials has been perceived. Metamaterials are artificially invented materials that show the properties which are not detected in naturally occurring materials. Metamaterials produce electromagnetic phenomena that are not seen in natural materials, and come in a wide variety of types. When developing a new metamaterial, simulation can be used both to analyze both the bulk property of the material and individual element. On modeling of metamaterials the researcher should be aware about several special considerations. So, for the efficient development of a device, several modeling techniques are used.
Resource Aware Workload Management for Autonomic Database Management Systems

-- Workloads running in a multi-purpose database environment often compete for system resources causing resource contention, which leads to poor performance. Autonomic database systems will be required to recognize that the system resources are not being utilized optimally and take action to correct the situation. Workload management techniques can be used to choose an appropriate mix of concurrent work to reduce resource contention. We describe a resource aware scheduling approach that predicts the amount of CPU, I/O and sort heap memory that will be required by a query and schedules each query to run only when doing so is unlikely to overwhelm the resources. We present experimental evidence that indicates that overall system performance can be improved using this technique.
Using the Internet of Things and Real-time Data for Optimizing Freight Streams in Transportation Networks

LTL (Less than Truckload) shipping has an efficiency problem, due to inflexible schedules and the inability to address short-term changes in demand. We propose a technical solution for improving the efficiency of LTL shipping by automating aspects of operational decision-making using rich, real-time information. In particular, we propose a framework for collecting heterogeneous data from Internet of Things (IoT) sensors and data services in the context of logistics networks to maintain a rich state of the environment as a basis for routing and scheduling decisions. We use this information for optimizing freight streams by applying standard Operations Research methods to the problem. In particular, we introduce a methodology for computing dynamic vehicle schedules based on dynamic demand in a level of detail that allows schedules to be planned and adapted in an autonomous decision process in day-to-day operations. To that end, we formally define Dynamic Transshipment with Time Constraints in a Finite Planning Horizon and Vehicle Allocation, two mathematical optimization problems that build a schedule based on dynamic demand, considering constraints on delivery times, capacities of vehicles, loading terminals and hubs. Finally, we demonstrate the performance of our approach with evaluations based on operational data from an Austrian logistics company. In these evaluations, we are able to reduce the total amount of driven kilometers by 15.2% and improve vehicle utilization by 2.8 percentage points. By introducing and testing a mechanism for incident handling, we also demonstrate the robustness of our framework against unforeseen delays, such as vehicle breakdowns or traffic congestions.
Developing Continuous Risk Models for Adverse Event Prediction in Electronic Health Records using Deep Learning

Early prediction of patient outcomes is key to unlocking the potential for targeted preventive care. This protocol describes a practical workflow for developing deep learning risk models for early prediction of various clinical and operational outcomes using structured electronic health record (EHR) data, discussing the prediction of acute kidney injury (AKI) as an exemplar. The protocol consists of 34 steps grouped into the following stages: formal problem definition, data pre-processing, architecture selection, calibration and uncertainty estimation, generalisability evaluation. Additionally, we demonstrate the application of this protocol to three other endpoints mortality, length of stay and 30-day hospital readmission for both continuous predictions (e.g. triggered every 6h) and static predictions (e.g. triggered at 24h post admission). The performance on these additional endpoints exceeded most comparable literature benchmarks. This protocol is accompanied by an open-source codebase that illustrates key considerations for EHR modeling and may be customised to alternate data formats and prediction tasks.
ASSESSMENT OF COGNITO-MOTOR ACTIVITIES OF RATS EXPOSED TO MILD CRUDE OIL TOXICITY

This study examined the possible neurotoxic effects of Nigerian Bonny Light Crude Oil (NBLCO) by assessing antioxidant levels and cognito-motor functions in rats. Thirty healthy male and female albino rats of 12 weeks old weighing between 80-200g were used in this study. The rats were divided into four groups with group I serving as control, and were oral gavaged (distilled water at 1ml/kg body weight as placebo. Group II, III, and IV were given (0.5, 1, and 1.5ml/kg) body weight of NBLCO respectively by oral route. After the treatment period of six weeks, the animals were sacrificed and blood samples collected for analysis for markers of oxidative stress. The animals also underwent series of tests to assess their cognito-motor functions. The results obtained showed significant (P ≤ 0.05) increase in superoxide dismutase (SOD), malondialdehyde (MDA), and catalase (CAT) levels in serum when compared to control. Glutathione oxidase levels were significantly (P ≤ 0.05) lower in all the test groups when compared to control. The levels of protein decreased significantly (P ≤ 0.05) in group IV but decreased marginally in groups II and III. The mean time taken to finish the navigation maze test was significantly higher in all the test groups (on all three trials) when compared to control. Results for hand-grip tests showed that significant decrease in all the test groups when compared to control. The mean time taken to cross the beam was significantly (P ≤ 0.05) higher in all the test groups when compared to control. The larger implications of these findings suggest oxidative stress induced by crude oil with consequent decline in neuronal functions in the rats. It is therefore concluded that chronic ingestion of crude oil has the potential to induce oxidative stress, which may lead to cognito-motor dysfunction. Future studies will focus on the precise role of oxidant molecules in Listeria in neuro-pathogenesis. This work increases our understanding of the possible role of crude oil misuse in neurodegenerative processes including memory loss.
Boundary-Layer Linear Stability Theory

Most fluid flows are turbulent rather than laminar and the reason for this was studied. One of the earliest explanations was that laminar flow is unstable, and the linear instability theory was first developed to explore this possibility. A series of early papers by Rayleigh produced many notable results concerning the instability of inviscid flows, such as the discovery of inflectional instability. Viscosity was commonly thought to act only to stabilize the flow, and flows with convex velocity profiles appeared to be stable. The investigations that led to a viscous theory of boundary layer instability was reported. The earliest application of linear stability theory to transition prediction calculated the amplitude ratio of the most amplified frequency as a function of Reynolds number for a Blasius boundary layer, and found that this quantity had values between five and nine at the observed Ret. The experiment of Schubauer and Skramstad (1947) completely reversed the prevailing option and fully vindicated the Gottingen proponents of the theory. This experiment demonstrated the existence of instability waves in a boundary layer, their connection with transition, and the quantitative description of their behavior by the theory of Tollmien and Schlichting. It is generally accepted that flow parameters such as pressure gradient, suction and heat transfer qualitatively affect transition in the manner predicted by the linear theory, and in particular that a flow predicted to be stable by the theory should remain laminar. The linear theory, in the form of the e9, or N-factor is today in routine use in engineering studies of laminar flow. The stability theory to boundary layers with pressure gradients and suction was applied. The only large body of numerical results for exact boundary layer solutions before the advent of the computer age by calculating the stability characteristics of the Falkner-Skan family of velocity profiles are given. When the digital computer reached a stage of development which permit the direct solution of the primary differential equations, numerical results were obtained from the linear theory during the next 10 years for many different boundary layer flows: three dimensional boundary layers; free convention boundary layers; compressible boundary layers; boundary layers on compliant walls; a recomputation of Falkner-Skan flows; unsteady boundary layers; and heated wall boundary layers.
Clinical and radiographic outcomes of dental implant after maxillary sinus floor augmentation with rhBMP-2/hydroxyapatite compared to deproteinized bovine bone

Objectives This study aimed to evaluate the clinical and radiographic outcomes of early implant placement and functional loading in maxillary sinus floor augmentation (MSFA) using recombinant human bone morphogenetic protein 2/hydroxyapatite (rhBMP-2/HA) and to compare these outcomes with those of the conventional protocol in MSFA using deproteinized bovine bone (DBB). Materials and methods The rhBMP-2/HA and DBB groups consisted of 14 and 13 patients who underwent MSFA with BMP and DBB, respectively. After placement of 22 implants and 21 implants in the rhBMP-2/HA and DBB groups, respectively, abutment connections were performed 3 months after implant placement for the rhBMP-2/HA group and 6 months after implant placement for the DBB group. Changes in grafted sinus height (GSH), marginal bone loss (MBL), and implant stability were evaluated up to one year after functional loading. Results Survival rates for the rhBMP-2/HA and DBB groups after one year of functional loading were 90.9% and 90.5%, respectively. Both groups exhibited no significant time-course changes in GSH until one year of functional loading (rhBMP-2/HA, p = 0.124; DBB, p = 0.075). Although significant MBL occurred after one year of functional loading for both groups (rhBMP-2/HA, p < 0.001; DBB, p < 0.001), there were no significant differences in time-course changes in MBL between the two groups (p = 0.450). The mean implant stability quotient values in the rhBMP-2/HA and DBB groups were 75.3 and 75.4 after one year of functional loading, respectively, and there were no significant differences between the two groups (p = 0.557). Conclusions MSFA using rhBMP-2/HA allowed implant rehabilitation with early implant placement and functional loading and led to a comparable survival rate and implant stability after 1 year of functional loading with acceptable MBL and stable maintenance of GSH compared to the MSFA using DBB with 6 months of healing after implant placement.
Ginger (Zingiber officinale) extract mediated green synthesis of silver nanoparticles and evaluation of their antioxidant activity and potential catalytic reduction activities with Direct Blue 15 or Direct Orange 26

The green synthesis of silver nanoparticles (AgNPs) using a water extract of Ginger (Zingiber officinale) root by microwave irradiation and its antibacterial activities have been reported. However, AgNPs prepared from different parts of ginger root water or ethanol extract by ultrasound synthesis and their antioxidant activity and whether the biogenic could be used to catalyze the reduction of hazardous dye are unknown. This study concentrated on the facile green synthesis of AgNPs prepared from different parts (unpeeled ginger, peeled ginger, and ginger peel) of ginger root water or ethanol extract by the ultrasound-assisted method. We studied their antioxidant activity and catalytic degradation of hazardous dye Direct Orange 26 (DO26) and Direct Blue 15 (DB15). The surface plasmon resonance (SPR) peak of AgNPs was at 428–443 nm. The biogenic AgNPs were approximately 2 nm in size with a regular spherical shape identified from TEM analysis. The ethanol extracts of dried unpeeled ginger and peeled ginger, fresh peeled ginger and ginger peel. The Z. officinale AgNPs synthesized by dried unpeeled ginger ethanol extract showed the best antioxidant activity. Their scavenging activities were significantly better than BHT (p <0.05). The different parts of ginger extracts showed no catalytic degradation activities of DB15 and DO26. Still, the synthesized Z. officinale AgNPs exhibited good catalytic degradation activities, while their ability to catalytic degradation to DB15 was better than DO26. In the additive ratio of 3 mL DB15, 0.1 mL NaBH4 and 0.1 mL AgNPs, the degradation rates of DB15 (or DO26) at 15 min, 30 min and 60 min were only 1.8% (0.9%), 2.8% (1.4%) and 3.5% (1.6%) in the absence of AgNPs. When adding Z. officinale AgNPs prepared from dried ginger peel ethanol extract or fresh ginger peel water extract, the degradation rates of DB15 sharply increased to 97% and 93% after 30 min, respectively. In conclusion, ginger extract has good antioxidant properties. Z. officinale AgNPs biosynthesis from ginger extract exhibit excellent catalytic degradation activities, especially for the ginger peel extract. They have application value in the treatment of textile effluents and provide a new idea and method for the comprehensive development and utilization of ginger resources.
Teaching Complex Flint Knapping Strategies in the Classroom Using “Potato Knapping”

ABSTRACT Stone suitable for flint knapping is fine-grained and isotropic, sharp, and characteristically prone to production failures in the hands of novicesThis poses significant problems for university teachers trying to instruct novices in the fundamentals of stone working in limited time during classroom practicals where health and safety concerns must be taken seriously. In this paper I outline a cheap and successful approach to teaching knapping using potatoes—“potato knapping”—adopted in several of my courses. This approach allows undergraduates to acquire working knowledge of complex reduction sequences with low risk of self-injury and without the need for any prior skill or training in knapping. This technique is employed successfully to teach complex tasks, such as Levallois flaking, in short practicals, as well as to test various hypotheses and illustrate important concepts in classroom settings. Potato knapping as a research medium also has much potential to answer fundamental anthropological questions, as illustrated by a case study in cultural transmission.
HIF1 inhibition of the biflavonoids against pancreas cancer: drug-likeness, bioavailability, ADMET, PASS, molecular docking, molecular dynamics, and MM/GBSA calculations

Abstract Pancreatic cancer is an aggressive disease with a high death rate and is difficult to treat. This disease, in the most cases, is asymptomatic until it progresses to an advanced stage. Therefore, the search for bioactive molecules is urgent to combat pancreatic cancer. Then, this work analyzed the interaction potential of agathisflavone and amentoflavone molecules against the HIF1 target using the ADMET, molecular docking, and molecular dynamics simulations. More recent drug-likeness filters that combine physicochemical and physiological parameters have shown that high polar surface area (TPSA > 75 Å2) drives biflavonoids out of the toxic drug space of Pfizer dataset. Regarding the pharmacokinetic descriptors, it was possible to notice that Amentoflavone showed a better order of passive cell permeability (Papp = 8 × 10−6 cm/s) and better metabolic stability, biotransformed by aromatic hydroxylation reactions by the CYP3A4 isoenzyme on the human liver, that favor its hepatic clearance. The molecular docking and molecular dynamics simulations indicated the high interaction potential and stability between the ligands analyzed (highlighted the amentoflavone molecule), respectively. The MM/GBSA calculations showed that the amentoflavone ligand registered the highest ΔG binding value of −32.6957 kcal/mol with the HIF1 target. Then, this molecule may be used as a potential inhibitor of pancreatic cancer. In this perspective, the present work represents an initial step in the virtual bioprospecting a pharmacological tool for treating of pancreatic cancer. Communicated by Ramaswamy H. Sarma
Shifts in carbon and nitrogen stable isotope composition and epicuticular lipids in leaves re ﬂ ect early water-stress in vineyards of the Total

The potential of leaf composition as early plant water stress marker is ex-plored. water non-organic-fertilized Changes in leaf carbon and nitrogen isotope composition ( δ 13 C and δ 15 N values) and the accumulation of epicu- ticularlipidshavebeenassociatedwithplantresponsestowaterstress.Weinvestigatedtheirpotentialuseasin-dicators of early plant water de ﬁ cit in two grapevine ( Vitis vinifera L.) cultivars, Chasselas and Pinot noir, that were ﬁ eld-grown under well-watered and water-de ﬁ cient conditions. We tested the hypothesis that the bulk δ 13 C and δ 15 N values and the concentrations of epicuticular fatty acids may change in leaves of similar age with the soil water availability. For this purpose, leaves were sampled at the same position in the canopy at different times (phenological stages) during the 2014 growing season. Bulk dry matter of young leaves from ﬂ oweringtoveraisonhadhigher δ 13 Cvalues,highertotalnitrogencontent,andlower δ 15 Nvaluesthanoldleaves. In both cultivars, δ 15 N values were strongly correlated with plant water de ﬁ ciency, demonstrating their integra- tionoftheplantwaterstressresponse. δ 13 Cvaluesrecordedthewaterde ﬁ ciencyonlyinthoseplantsthathadnot receivedfoliar organic fertilization.The soilwaterde ﬁ ciencytriggeredthe accumulation of C N 26 fatty acids inthe cuticularwaxes.Thecompound-speci ﬁ cisotopeanalysis(CSIA)offattyacidsfromoldleavesshowedanincrease in δ 13 C among the C 16 -C 22 chains, including stress signaling linoleic and linolenic acids. Our results provide evi- dence for leaf 13 C-enrichment, 15 N-depletion, and enhanced FA-chain elongation and epicuticular accumulation in the grapevine response to water stress. The leaf δ 13 C and δ 15 N values, and the concentration of epicuticular fatty acids can be used as reliable and sensitive indicators of plant water de ﬁ cit even when the level of water stress is low to moderate. They could also be used, particularly the more cost-ef ﬁ cient δ 13 C and δ 15 N measure- ments, for periodic biogeochemical mapping of the plant water availability at the vineyard and regional scale.