Miracle-dz/UniFAR-FTUs huggingface dataset:
A Next Step: Visualizing Errors and Uncertainty

The development of formal theoretical frameworks and the creation of new visual representations of error and uncertainty will be fundamental to a better understanding of 3D experimental and simulation data. Such improved understanding will validate new theoretical models, enable better understanding of data, and facilitate better decision making. We urge the scientific visualization research community to take the next step and make visually representing errors and uncertainties the norm rather than the exception.
Club 35 EACVI web spotlight: comments on right ventricle assessment in the new echocardiography recommendations.

In last month, an intriguing discussion has been raised by Dr Khayyal on the EACVI Club 35 LinkedIn platform ‘Young Network of Cardiovascular Imaging’ about the new ASE/EACVI recommendations for chamber quantification,1 particularly concerning the evaluation of the right ventricle, the range values for defining it as normal and the severity grading of dilatation. In summary, in the new guidelines the RV basal diameter is normal up to 41 mm, mid-diameter up to 35 mm. Actually there is not a distinction in severity grades, so we could distinct only normal and abnormal RV. Conversely, in the 2005 guidelines,2 the …
Climatic variations since the Little Ice Age recorded in the Guliya Ice Core

The climatic variations since the Little Ice Age recorded in the Guliya Ice Core are discussed based on glacial δ18O and accumulation records in the Guliya Ice Core. Several obvious climate fluctuation events since 1570 can be observed according to the records. In the past 400 years, the 17th and 19th centuries are relatively cool periods with less precipitation, and the 18th and 20th centuries are relatively warm periods with high precipitation. The study has also revealed the close relationship between temperature and precipitation on the plateau. Warming corresponds to high precipitation and cooling corresponds to less precipitation, which is related with the influence of monsoon on this region.
Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques

The use of Data Mining techniques makes possible to extract knowledge from high volumes of data. Currently, there is a trend to use Data Mining models in the perspective of intensive care to support physicians’ decision process. Previous results used offline data for the predicting organ failure and outcome for the next day. This paper presents the INTCare system and the recently generated Data Mining models. Advances in INTCare led to a new goal, prediction of organ failure and outcome for the next hour with data collected in real-time in the Intensive Care Unit of Hospital Geral de Santo António, Porto, Portugal. This experiment used Artificial Neural Networks, Decisions Trees, Logistic Regression and Ensemble Methods and we have achieved very interesting results, having proven that it is possible to use real-time data from the Intensive Care Unit to make highly accurate predictions for the next hour. This is a great advance in terms of intensive care, since predicting organ failure and outcome on an hourly basis will allow intensivists to have a faster and pro-active attitude in order to avoid or reverse organ failure.
Phylogenetic relationships of waders (Charadriiformes: Scolopacidae) in sarawak inferred from cytochrome oxidase i and recombinant activating gene 1

Family Scolopacidae includes the sandpipers, shanks, snipes, godwits and curlews. Systematic classifications of shorebirds at the higher level have been successfully resolved. Nevertheless, the phylogeny of shorebirds in the familial level is still poorly understood. Thus, this phylogenetic study on Scolopacidae was conducted upon the framework provided by the first sequence-based species-level phylogeny within the shorebirds to determine the phylogenetic relationships among family members of Scolopacidae in West Borneo, Sarawak using combined gene markers, mtDNA Cytochrome Oxidise I (COI) and nucDNA Recombinant Activating Gene 1 (RAG1). A total of 1,342 base pair (bp) were inferred from both COI and RAG1 gene from 45 sequences constituted of 15 species Scolopacidae sampled from Sarawak namely Xenus cinereus, Actitis hypoleucos, Tringa totanus, Tringa glareola, Tringa stagnatilis, Heteroscelus brevipes, Calidris alba, Calidris ruficollis, Calidris ferruginea, Calidris tenuirostris, Calidris alpina, Gallinago stenura, Gallinago megala, Numenius arquata, and Numenius phaeopus. The phylogenetic tree was constructed with Charadrius mongulus derived as an outgroup. The Bayesian Inference (BI) tree constructed supported grouping of species into several lineages of Numeniinae, Calidrinae, Scolopacinae and Tringinae. The groupings of species into several lineages correlate with morphological features that contribute to their adaptation and ability of the species to fit to their ecosystems.
Analysis of the Droplet Ejection for Piezoelectric-driven Industrial Inkjet Head

A hybrid design tool combining one-dimensional (1D) lumped parameter model and three-dimensional (3D) computational fluid dynamics (CFD) approach has been developed and applied to industrial inkjet head design for the application of direct writing on printed circuit boards (PCB). Lumped element modeling technique is applied to simplify the composite Inkjet print head system and the calculation of lumped parameters such as compliance, resistance and inertance is explained theoretically. Performance of 1D analysis shows that it is useful for the evaluation of a proposed design of inkjet head. Time sequence of droplet generation is verified by the comparison between 3D analysis result and photographic images acquired by stroboscopic technique. The developed model helps to understand the drop formation process and influence of flow part on the jetting performance.
Mapping the Ribonucleolytic Active Site of Eosinophil-derived Neurotoxin (EDN)

Eosinophil-derived neurotoxin (EDN), a basic ribonuclease found in the large specific granules of eosinophils, belongs to the pancreatic RNase A family. Although its physiological function is still unclear, it has been shown that EDN is a neurotoxin capable of inducing the Gordon phenomenon in rabbits. EDN is also a potent helminthotoxin and can mediate antiviral activity of eosinophils against isolated virions of the respiratory syncytial virus. EDN is a catalytically efficient RNase sharing similar substrate specificity with pancreatic RNase A with its ribonucleolytic activity being absolutely essential for its neurotoxic, helminthotoxic, and antiviral activities. The crystal structure of recombinant human EDN in the unliganded form has been determined previously (Mosimann, S. C., Newton, D. L., Youle, R. J., and James, M. N. G. (1996) J. Mol. Biol. 260, 540–552). We have now determined high resolution (1.8 Å) crystal structures for EDN in complex with adenosine-3′,5′-diphosphate (3′,5′-ADP), adenosine-2′,5′-di-phosphate (2′,5′-ADP), adenosine-5′-diphosphate (5′-ADP) as well as for a native structure in the presence of sulfate refined at 1.6 Å. The inhibition constant of these mononucleotides for EDN has been determined. The structures present the first detailed picture of differences between EDN and RNase A in substrate recognition at the ribonucleolytic active site. They also provide a starting point for the design of tight-binding inhibitors, which may be used to restrain the RNase activity of EDN.
Controlling AI Engines in Dynamic Environments

A recent paper lists deploying AI in dynamic environments with unpredictable changes as a major research opportunity. To address this challenge we advocate the integration of AI and control systems. AI and machine learning are well-suited to deal with complexity , while control theory is specifically designed to manage dynamics . The integration of these approaches has several benefits: 1) fast reaction to dynamic changes, 2) error tolerance based on runtime feedback, and 3) robust design that guarantees that operating requirements will be respected when possible or the ability to report when those requirements cannot be met. 1
Differentiation of organic and non-organic apples using near infrared reflectance spectroscopy — A pattern recognition approach

With the organic food market on the rise, organic food fraud has become an issue to consumers, producers and the market. Traditional methods of food quality determination are time consuming and require expert laboratory analysis. Recent studies based on spectroscopic analysis have shown its potential effectiveness in non-destructive food analysis. This paper explores the use of low cost Near Infrared Spectroscopy (NIRS) combined with a pattern recognition approach for the differentiation of organic and non-organic apples. The spectra of organic and non-organic Gala apples are measured using a low cost and portable NIR Spectrometer. A pattern recognition pipeline is proposed, where spectra data are pre-processed and then classified into organic and non-organic. Baseline correction and normalization are used in pre-processing, and Partial Least Squares Discriminant Analysis (PLS-DA) is used for classification. The experimental results show that the apple samples can be classified into organic and non-organic ones with accuracies of over 96%. The results and the fact the NIR spectrometer used was low cost and portable suggest this is potentially a cost effective solution to the detection of organic food fraud.
Qualitative and quantitative determination of hydrolysable tannins and other polyphenols in herbal products from meadowsweet and dog rose.

INTRODUCTION Meadowsweet and dog rose are used as herbal medicines and foodstuffs. Their biological and pharmacological properties are mainly attributed to vitamins, flavonoids and tannins known to be effective antioxidants. OBJECTIVE To evaluate the distribution of hydrolysable tannins and other polyphenols in commercially available products of Filipendula ulmaria and Rosa canina. METHODOLOGY In order to evaluate the distribution of polyphenols, the isolation and structure elucidation of six ellagitannins (tellimagrandins I and II, rugosins A, B, D and E) along with other well-known compounds was performed. Further high-performance chromatographic methods (HPLC, HPTLC) were developed for qualitative and quantitative studies of phenolic acids, flavonoids and tannins in meadowsweet flowers and dog rose fruits. The analysis of linearity, limits of detection and quantification, precision and accuracy showed that the HPLC assay was sufficiently precise for content evaluation. Selection of a suitable solvent and optimisation of the sample extraction procedure were also carried out. RESULTS Amounts of more than 20 polyphenols were estimated in the studied pharmaceuticals (27 products of meadowsweet and 10 products of dog rose) using a Chromolith Performance RP-18e column and UV detection. Methyl gallate 3-O-beta-glucoside was identified for the first time in dog rose, while rugosins A, B and E are new meadowsweet constituents. CONCLUSION The results showed that meadowsweet flowers and rose hips with seeds yielded 55.53-124.8 and 0.43-1.26 mg/g of ellagitannins, respectively. The sum of detected polyphenols was 83.88-165.68 mg/g for Filipendulae ulmariae flos and 1.21-2.66 mg/g for Rosae pseudo-fructus cum fructibus.
CPS1 Compliance-Constrained AGC Gain Determination for a Single-Balancing Authority

The integration of non-dispatchable generation has increased the need for ancillary services to maintain frequency control performance, and the determination of adequacy to ensure reliability has become an important operating concern. This work determines the AGC gain of a single balancing authority interconnection in order for system frequency to comply with NERC control performance standards, ensuring secondary control adequacy. The particular case of wind expansion is considered, and a simulation of ERCOT is presented to evaluate the performance of the formulation.
A 65-nm High-Frequency Low-Noise CMOS-Based RF SoC Technology

The radio-frequency (RF) performance of a 65-nm RF technology is assessed. The RF CMOS was fabricated with a physical gate length of 60 nm. In addition to the deep-n-well and p+-guard-ring isolation, a multi-poly-finger layout and fabrication process is optimized to improve the CMOS device RF performance. A superior cutoff frequency fT of 250 GHz and a maximum oscillation frequency f max of 220 GHz for the n-MOSFETs (NMOS) have been achieved. The minimum noise figures ( NF min's) are around 0.2 and 0.3 dB at 2.4 and 5.8 GHz, respectively. n+/n-well accumulation-mode MOS varactors, inductors, and metal-oxide-metal (MOM) capacitors are integrated with CMOS devices in a single chip by a standard logic process without extra masks. The tuning ratio of the varactor can be up to 12 with a peak quality (Q) factor of 20. The polysilicon-patterned ground shield and 3.7-¿m-thick Cu metal process are implemented to improve the Q factor of the inductors. The structure and performance of the MOM and metal-insulator-metal capacitors are benchmarked, and a mesh structure is proposed to reduce the mismatch of the MOM capacitors.
Actin Dysfunction Activates ERK1/2 and Delays Entry into Mitosis in Mammalian Cells

Investigations of actin function during the cell cycle have focused primarily on cytokinesis. Here, we describe the role of actin at the entry into mitosis in primary mammalian cells. Depolymerization of actin with cytochalasin D or inhibition of myosin ATPase with butanedione-2-monoxime (BDM) at G2 blocked the mitotic spindle formation and central positioning of the nucleus in synchronized MEF and IMR90 cells. Time-lapse microscopy confirmed that these treatments inhibit both spindle formation and separation of duplicated centrosomes to the opposite poles. Concurrent with actin dysfunction, activation of Cdc2 and nuclear localization of cyclin B1 were delayed. Furthermore, cyclin A degradation that is necessary for nuclear envelope breakdown (NEBD) in early mitosis was deferred, supporting the conclusion that mitotic onset was delayed. The activation of extracellular signal-regulated kinases 1 and 2 (ERK1/2) was sustained in these cells, and the use of a specific ERK inhibitor or a dominant negative form of ERK2 abrogated this delay of entry into mitosis. This delay of mitotic entry and the sustained ERK1/2 activity by actin dysfunction was observed only in primary cells and not in transformed cancer cell lines. These observations demonstrate that an intact actin cytoskeleton is necessary for entry into mitosis and that ERK1/2 is involved in monitoring actin dysfunction to control the onset of mitosis, suggesting the presence of an actin checkpoint at the G2/M transition in primary mammalian cells.
The MHC Class I-Like IgG Receptor Controls Perinatal IgG Transport, IgG Homeostasis, and Fate of IgG-Fc-Coupled Drugs1

Abs of the IgG isotype are efficiently transported from mother to neonate and have an extended serum t1/2 compared with Abs of other isotypes. Circumstantial evidence suggests that the MHC class I-related protein, the neonatal FcR (FcRn), is the FcR responsible for both in vivo functions. To understand the phenotypes imposed by FcRn, we produced and analyzed mice with a defective FcRn gene. The results provide direct evidence that perinatal IgG transport and protection of IgG from catabolism are mediated by FcRn, and that the latter function is key to IgG homeostasis, essential for generating a potent IgG response to foreign Ags, and the basis of enhanced efficacy of Fc-IgG-based therapeutics. FcRn is therefore a promising therapeutic target for enhancing protective humoral immunity, treating autoimmune disease, and improving drug efficacy.
A Two-Stage Dynamic Credit Risk Assessment System

Credit risk assessment has been thought of as a critical factor in financial companies and banks in the history of development economics. Recently, there has been renewed interest in credit risk assessment using deep learning methods. However, previous studies have not fine-grained dealt with static and dynamic features, which limits their effectiveness. Thus, in this paper, we present a two-stage model using FeedForward Neural Network(FNN) and Recurrent Neural Network(RNN). First, we design the aggregation layer to extract representative information from the static feature at time T. Second, the distinct moment representation constructs the dynamic features of a client. The dynamic features could be learned by the RNN layer. Experimental results on the real-world dataset show its superiority over various baselines.
Bis(μ-3-nitrophthalato-κ2 O 1:O 2)bis[(thiourea-κS)zinc] dihydrate

In the title complex, [Zn2(C8H3NO6)2(CH4N2S)4]·2H2O, the carboxylate groups of the 3-nitrophthalate ligands coordinate in a bis-monodentate mode to the ZnII cations. This results in the formation of a centrosymmetric dimer containing two ZnII cations with distorted tetrahedral geometries provided by the O atoms of two different 3-nitrophthalate dianions and the S atoms of two non-equivalent coordinated thiourea molecules. The crystal structure exhibits N—H⋯O and O—H⋯O hydrogen bonds which link the dimers into a three-dimensional network.
Effective feature selection with Particle Swarm Optimization based one-dimension searching

Forming an efficient feature space for classification problems is a grand challenge in pattern recognition. Many optimization algorithms are adopted to do feature selection, but these algorithms do searching in multi-dimensions space and always cannot get the optimal feature subset. In this paper, a feature selection method with Particle Swarm Optimization based one-dimension searching is proposed to improve the classification performance. Experimental results show that the proposed method can do feature selection more effectively than the compared method and get much higher classification accuracy‥
A Monte Carlo Interstitial Brachytherapy Study for AAPM TG-43 Dose Calculation Formalism in Heterogeneous Media

The precision of AAPM TG-43 dose calculation formalism in heterogeneous media has been studied based on the survey and evaluation of the status of interstitial brachytherapy. After a brief introduction of radioactive seeds (125I, 192Ir and 103Pd) and AAPM TG-43 formalism, the radial dose rates calculated by Monte Carlo code MCNP-4C and TG-43 formalism were compared with homogeneous and heterogeneous phantoms. The reason of errors between the results of the above two methods was analyzed, and modified dose rates constant were proposed and testified. With the updated dose rates constant, AAPM TG-43 formalism can predict the dose rate distribution accurately and rapidly in clinical.
INTENTIONS TO MIGRATE WITHIN THE EUROPEAN UNION: A CHALLENGE FOR SIMPLE ECONOMIC MACRO-LEVEL EXPLANATIONS

ABSTRACT Individual mobility within the European Union has remained rather low, in spite of large socio-economical differences and the lack of political restrictions for citizens of member states. Taking this as a starting point, this paper sets out to develop a more appropriate view by combing aspects of economic and sociological migration theories both at the macro and micro levels. For this purpose, the Eurobarometer survey 54.2 of 2001 is analysed by applying a three-level regression. Therefore, different characteristics of 15 European countries, 196 nuts-2-regions and about 7,000 respondents aged younger than 45 years are considered. Analyses show that the assumption of push-and-pull models – namely, that people leave less developed places – applies only within countries. In fact, the highest migration intentions can be observed in regions with a developmental gap compared to the overall level of a country. But between countries, the effect is quite the opposite – the highest intentions can be found in highly developed countries. However, the explanatory power of macro-level variables is rather low compared to that of individual characteristics. Therefore, research should place more emphasis on individual characteristics, to estimate a migration potential more accurately.
Enhanced Cyclability in Rechargeable Li–O2 Batteries Based on Mn3O4 Hollow Nanocage/Ketjenblack Catalytic Air Cathode

Mn3O4 hollow nanocages (MOHNs) of mean diameter 250 nm and composed of a number of Mn3O4 nanoparticles of mean diameter 25 nm are synthesized via a facile template method using C spheres as the hard template and MnCl2 as the Mn source. The C sphere templates are prepared by a hydrothermal method using glucose as the C source. The hydrophilic nature of the surface of the C sphere templates allows the adsorption of Mn2+ ions, resulting in the MOHNs upon thermal annealing of the Mn-adsorbed C sphere templates in air. The MOHNs possess a crystalline phase and a hollow-cage porous nanostructure with a high specific surface area of 90.65 m2/g and a linear paramagnetic behavior at room temperature. These MOHNs, when combined with ketjenblack (KB) C blacks to form MOHN/KB catalytic air cathodes in nonaqueous Li-O2 batteries (LOBs), exhibit a high and stable reversible restrained specific capacity of 600 mAh/g in excess of 50 discharge-charge cycles at a specific current of 400 mA/g. The pure KB air cathode-based LOBs can only sustain ~15 cycles at the same conditions.
Avocado and Cardiovascular Health

Avocado is a fruit which had a caloric density of 1.7 kcal per gram and a half unit (~70 g) is composed by 114 kcal, 4.6 g of fibers, 345 mg of potassium, 19.5 mg of magnesium, 1.3 mg of vitamin E and 57 mg of phytosterols. Approximately 75% of fiber’s avocado contents are considered insoluble and 25% are soluble. The avocado contains lipids that consist of 71% from monounsaturated fatty acids (MUFA), 13% from polyunsaturated (PUFA) and 16% from saturated fatty acids (SFA). Recent researches have shown that avocado may improve hypercholesterolemia and may be useful in the treatment of hypertension and type 2 diabetes mellitus (T2DM). This way, avocado plays an important role in the cardiovascular health. This review summarizes the potential benefits of avocado consumption in the prevention of cardiovascular risk factors and metabolic diseases.
Functional role of O‐linked and N‐linked glycosylation sites present on the activation peptide of factor X

Summary. Background: There are two O‐linked and two N‐linked glycosylation sites on the activation peptide of factor X (FX) involving residues Thr‐17, Thr‐29, Asn‐39 and Asn‐49. Objectives: The purpose of this study was to explore the contribution of carbohydrates of the FX activation peptide to zymogen recognition by physiological activators. Methods: The putative glycosylation sites were substituted individually or in combinations with Ala and mutants were expressed in mammalian cells. The entire activation peptide up to the P3 residue was deleted in another construct. Results: It was discovered that activation of zymogen mutants by both FVIIa and FIXa on negatively charged phospholipid vesicles has been improved 2–40‐fold independent of a cofactor. These mutants were activated with slightly lower catalytic efficiency (kcat/Km) by FVIIa in the extrinsic Xase complex, though both Km and kcat constants for mutants were elevated. With the exception of ∼3‐fold improvement in the activation of N49A, the catalytic efficiency of FIXa toward mutants was decreased 2–5‐fold in the intrinsic Xase complex. Conclusions: The carbohydrate chains of the FX activation peptide play an important role in restricting the specificity of zymogen recognition by both FVIIa and FIXa, thereby preventing the cofactor‐independent activation of FX by these proteases. On the other hand, the carbohydrates contribute to the cofactor‐dependent recognition of the zymogen by both extrinsic and intrinsic Xase complexes.