Miracle-dz/UniFAR-FTUs huggingface dataset:
The Neuropsychological Characteristics of Misidentification Syndrome

Background: Although misidentification syndrome (MIS) is a relatively common psychiatric symptoms in Alzheimer’s disease (AD), there has not been a lot of research for clinical and neuropsychological characteristics of this syndrome. To find the disproportionate neuropsychological deficit of patients with MIS compared to patients with paranoid and non-delusion, this study delineates the aspect of missing values and compares each neuropsychological test between MIS and other groups. Methods: Psychotropic-naive(drug-naive) K-MMSE matched probable AD patients with MIS(26), paranoid delusion(25), and non-delusion(31) were assessed with the Seoul Neuropsychological Screening Battery, which included measures of memory, intelligence, and executive functioning. Results: Patients with MIS had lower scores in the Rey-Osterrieth Complex Figure Test copy, Controlled Oral Word Association Test, and Color Word Stroop Test compared to patients with paranoid delusions. The Seoul Verbal Learning Test immediate recall was lower in MIS compared to other groups. Only the missing values in contrast program and go/no-go test were significantly higher in MIS compared to other groups. After the replacement of the missing values of go/no-go test and contrast program, these tests showed significantly lower scores in MIS group compared to other groups and paranoid groups. Conclusions: Our study showed that MIS is disproportionately cognitive deficit suggesting left temporal, right parietal and both frontal dysfunction (especially in right frontal). Considering neuropsychological differences between MIS and paranoid delusions, these symptoms may have different pathophysiological anatomic substrates.
Electron Mobility Sensor Scheme-Based on a Mach–Zehnder Interferometer Approach

This letter presents the use of a plasmonic sensing transducer on an embedded Mach–Zehnder interferometer (MZI) arm, allowing the sensing transducer to be formed through the stacked layers of the silicon–graphene–gold materials and embedded on an MZI arm with a gripping force to allow it to be used in sensing applications. The transduction process introduces an energy conversion between the input light and the excited electron mobility within the silicon and graphene layers. That way the electron drift velocity within the gold layer can drive the plasmonic wave group velocity induced through the interaction with the graphene layers, and consequently, the electron mobility in the gold layer increases. The driven electron mobility in the gold layer, caused by the plasmonic waves from graphene in the embedded sensing layers, will affect the electron output mobility, where the relative change in the phase of the light in the silicon can be seen at the output port of the MZI. To optimize the key parameters of such a system (especially input optical power and dimensions of the gold layer), simulations are performed at various input optical powers and the results are graphically represented. A maximum sensitivity of ~ $2\times {10}^{-14}$ mV−1s−1 in electron mobility sensing is obtained through these simulations, designed to optimize the performance characteristics of the proposed sensor.
Two Level Anomaly Detection Classifier

This paper proposes two-level strategy for building the anomaly detection classifier, namely, macro level and micro level classification. The former intend to classify network data on a broader perspective to predict whether it is normal or a potential attack. The later classifies individual anomalies within each category of known attacks. The paper also investigates various feature selection techniques for choosing relevant features and study its effect on the performance of the anomaly detection classifiers. Experiments suggest that employing feature selection along with the proposed approach give anomaly detection rate of up to 99%.
The phenolic contents and antiradical activity of Indonesian Phyllantus urinaria L.

In this study, the 2,2-diphenyl-1-picrilhydrazil (DPPH) antiradical activity as well as the phenolics and flavonoid contents of ethanolic extract and its fraction of Phyllantus urinaria L. was evaluated. The ethanolic extract of P. urinaria L. was fractionated using vaccum column chromatography and gradient elution. Based on TLC profile, the fractination process yielded 6 fractions. The ethanolic extract of P. urinaria L. showed the high DPPH free radical scavenging with IC 50 of 5.74 µg/mL. Among 6 fractions, fraction 6 had the highest DPPH free radical scavenging activity with IC 50 of 4.22 µg/mL. Among ethanol extract and its fractions evaluated, fraction 5 had the highest phenolics and flavonoid contents. The correlation between DPPH free radical scavenging activities and phenolics contents existed with the equation of y = -43.454x + 827.67 with coefficient of determination (R 2 ) of 0.3475, while, the R 2 for the relationship between IC 50 values and flavonoid contents of ethanolic extract and its fraction is 0.2325.
Differential associations between plasma concentrations of insulin and glucose and intestinal expression of key genes involved in chylomicron metabolism.

The mechanisms underlying the oversecretion of apolipoprotein (apo)B-48-containing triglyceride-rich lipoproteins (TRL) in insulin-resistance (IR) states in humans remain to be fully understood. The objective of this study was to evaluate the association between the plasma levels of insulin and glucose and the intestinal expression of key genes involved in chylomicron metabolism in a large sample of nondiabetic men displaying various degrees of IR. Duodenal biopsies were obtained by gastroduodenoscopy in 127 men free of intestinal disease. Gene expression was measured using quantitative PCR in duodenal samples. Plasma insulin and glucose concentrations were measured in the fasting state. Postprandial TRL apoB-48 kinetics were measured using a primed-constant infusion of l-[5,5,5-D3]leucine for 12 h in a subgroup of 75 subjects maintained in a constant fed state. Plasma insulin levels were negatively associated with intestinal expression of ACS1 (standard β = -0.20, P = 0.007), DGAT1 (β = -0.18, P = 0.001), DGAT2 (β = -0.20, P = 0.02), and MTP (β = -0.27, P = 0.0005), whereas glucose levels were positively associated with MTP expression (β = 0.15, P = 0.04) independent of age, BMI, waist circumference, dietary intake, and duodenal expression of SREBP1c. Insulin levels, but not glucose concentrations, were positively correlated with postprandial TRL apoB-48 production rate ( r = 0.24, P = 0.04) and pool size ( r = 0.27, P = 0.03). In conclusion, plasma insulin and glucose levels are differentially associated with the expression of key genes involved in chylomicron metabolism. These results suggest that alterations in intestinal lipoprotein metabolism associated with IR may be regulated by plasma levels of both insulin and glucose concurrently and are therefore likely modified by the onset of insulin insufficiency. NEW & NOTEWORTHY We demonstrate that plasma insulin and glucose levels are differentially associated with the expression of key genes involved in chylomicron metabolism in men. For instance, intestinal expression of MTP is negatively associated with plasma insulin concentrations and positively associated with plasma glucose concentrations. Alterations in intestinal lipoprotein metabolism associated with insulin resistance may be regulated by plasma levels of both insulin and glucose concurrently and are therefore likely modified by the onset of insulin insufficiency.
The Natural Course of Monochorionic and Dichorionic Twin Pregnancies: A Historical Cohort

Abstract Current early diagnosis, surveillance and intervention options make it hard to determine the natural course of twin pregnancies, especially regarding spontaneous preterm delivery and perinatal mortality. We studied the natural course in monochorionic (MC) and dichorionic (DC) twin pregnancies in a historical cohort. Twin pregnancies were studied in a unique database of 651 twin pairs born in the period 1907 to 1938. We examined the effect of chorionicity on gestational age, birthweight, peri-natal mortality, intertwin birthweight differences, the incidence of preeclampsia and maternal mortality. Perinatal mortality was 27.7% for MC and 15.8% for DC twins (p < .001). Gestational age and birthweight were stronger predictors of perinatal mortality than chorionicity. Perinatal outcome was poorer for the second twin, especially in DC twins. Delivery before 37 weeks of gestation occurred more often in MC twin pregnancies (48.8% compared to 33.3% in DC twin pregnancies). DC twins were on average 288 g (95% confidence interval 201–376) heavier than MC twins. Severe birthweight discordancy occurred equally in MC and DC twins (18.1%). However, if present, mortality was only increased in MC twins. The birthweight of girls was not affected by the presence of a male co-twin. In this historical cohort MC twin pregnancies had a higher perinatal mortality, caused by a high incidence of low birthweight mainly due to preterm delivery. Mortality did not differ in deliveries after 31 weeks of gestation, which is in contrast to recent data. Apparently, modern obstetrics is more effective in reducing mortality in DC twins.
Prospects and limits of modal damping determination from acoustic signals

Damping determination in experimental modal analysis often is sensitive to the added mass by excitation and response measurement equipment. Thus, acoustic methods e.g. loudspeaker excitation or sound pressure measurements are alternative non-contact approaches but are limited in the precision. This study presents prospects and limits of the structural damping determination by sound pressure measurements. Different experimental modal analysis are done with varying excitation signals. Moreover, radiating rectangular steel plates are compared to hybrid metal-plastic composites with low shear resistant cores such as Bondal offering significant structural damping. There, common impact excitation fails for the determination of high modes. Thus, the plates are excited by noise or sweep signals of a shaker. The radiated sound pressure is measured in near field. Finally, damping is determined by the half power points of the magnitude within the frequency response function.
Allowing repeat winners

Unbiased lotteries seem the least unfair and simplest procedures to allocate scarce indivisible resources to those with equal claims. But, when lotteries are repeated, it is not immediately obvious whether prior winners should be included or excluded. As in design questions surrounding single-shot lotteries, considerations of self-interest and distributive social preferences may interact. We investigate preferences for allowing participation of earlier winners in sequential lotteries. We found a strong preference for exclusion, both in settings where subjects were involved, and those where they were not. Subjects who answered questions about both settings did not differ in their tendency to prefer exclusion. Stated rationales significantly predicted choice but did not predict switching of choices between the two settings.
A Novel Reduced Model for Electrical Networks With Constant Power Loads

We consider a network-preserved model of power networks with proper algebraic constraints resulting from constant power loads. Both for the linear and the nonlinear differential algebraic model of the network, we derive explicit reduced models which are fully expressed in terms of ordinary differential equations. For deriving these reduced models, we introduce the “projected incidence” matrix which yields a novel decomposition of the reduced Laplacian matrix. With the help of this new matrix, we provide a complementary approach to Kron reduction, which is able to cope with constant power loads and nonlinear power flow equations.
Research Concerning the Interaction between the Ground and the Turbulent Aircraft Wake Vortex

The problem developed in this contribution is encountered in airplane aerodynamics and concerns the influence of long life longitudinal wake vortices g enerated by wing tips or by external obstacles such as reactors or landing gears. More generally it concerns 3D bodies of fini te extension in cross flow. At the edge of such obstacles, longitud inal vortices are created by pressure differences inside the boun dary layers and rotate in opposite senses. The numerical simulation used for understanding the mechanisms were generally time evolution computation on a fixed space box with periodic boundary conditions using a transformation of the time evolution into a downstream evolution. The flow will be perturbed by prescribed disturbances or by a turbulent field.
A Research on Particle-Based Parallel Methods for Fluid Animation

In this paper, we present an acceleration strategy for Smoothed Particle Hydrodynamics (SPH) on multi-GPU platform. For single-GPU, we first use a neighborhood search algorithm of compacting cell index combined with spatial domain characteristics. For multi-GPU, we focus on the changing patterns of SPH's computational time. Simple dynamic load balancing algorithm works well because the computational time of each time step changes slowly compared to previous time step. By further optimizing dynamic load balancing algorithm and the communication strategy among GPUs, a nearly linear speedup is achieved in different scenarios with a scale of millions particles. The quality and efficiency of our methods are demonstrated using multiple scenes with different particle numbers.
Interactive Past: From 3D reconstruction to Augmented and Virtual Reality applied to archaeological heritage. The medieval site of Bastia St. Michele (Cavaion Veronese, Verona, Italy)

The work is an analysis of the recording, processing and presentation of the 3D data of the archaeological park of Bastia St. Michele (Cavaion Veronese, Verona, Italy). The aim of this research is to examine the possibilities offered by digital technologies to record and enhancing the archaeological heritage and to increase the divulgence and presentation with interactive products.
Performance analysis and true concurrency semantics

This paper addresses the subject of linking functional specifications to performance analysis in a process algebraic context. It presents a timed, probabilistic extension of a process algebraic formalism and its application to performance analysis. More specifically, an extension of a subset of LOTOS is presented equipped with a truly concurrent semantical model based on bundle event structures. It is investigated how semi-Markov chains can be obtained from functional speciications using this semantical model. The use of a true concurrency model enables us to distinguish between non-determinism and parallelism, to reduce the state explosion problem and, moreover, to analyse part of the system wi thout considering other (irrelevant) parts. An example illustrates the proposed approach.
D In silico Simulations for DNA Shuffling Experiments

DNA shuffling is a powerful method used for in vitro evolute molecules with specific functions and has application in areas such as, for example, pharmaceutical, medical and agricultural research. The success of such experiments is dependent on a variety of parameters and conditions that, sometimes, can not be properly pre-established. Here, two computational models predicting DNA shuffling results is presented and their use and results are evaluated against an empirical experiment. The in silico and in vitro results show agreement indicating the importance of these two models and motivating the study and development of new models. Keywords—Computer simulation, DNA shuffling, in silico and in vitro comparison.
The formulation of quantum statistical mechanics based on the Feynman path centroid density. V. Quantum instantaneous normal mode theory of liquids

The concept of instantaneous normal modes in liquids is extended into the quantum regime using the Feynman path centroid perspective in quantum statistical mechanics. To accomplish this goal, the variational quadratic approximation for the effective centroid potential is recast in a general multidimensional phase space form. In the context of the effective quadratic approximation, the velocity autocorrelation functions of liquids can then be predicted based on a set of instantaneous quantum normal modes. Representative applications are presented for quantum Lennard‐Jones liquids and a quantum particle solvated in a classical fluid. The quantum effective phonon spectrum leads to some revealing observations and interpretations for these systems.
Title Methyl-β-cyclodextrins preferentially remove cholesterol from the liquid disordered phase in giant unilamellar vesicles Permalink

Methyl-b-cyclodextrins (MbCDs) are molecules that are extensively used to remove and to load cholesterol (Chol) from artificial and natural membranes; however, the mechanism of Chol extraction by MbCD from pure lipids or from complex mixtures is not fully understood. One of the outstanding questions in this field is the capability of MbCD to remove Chol from lipid domains having different packing. Here, we investigated the specificity of MbCD to remove Chol from coexisting macrodomains with different lipid packing. We used giant unilamellar vesicles (GUVs) made of 1,2-dioleoylphosphatidylcholine:1,2-dipalmitoylphatidylcholine:free cholesterol, 1:1:1 molar ratio at 27 C. Under these conditions, individual GUVs present Chol distributed into lo and ld phases. The two phases can be distinguished and visualized using Laurdan generalized polarization and two-photon excitation fluorescence microscopy. Our data indicate that MbCD removes Chol preferentially from the more disordered phase. The process of selective Chol removal is dependent on the MbCD concentration. At high concentrations, MbCD also removes phospholipids.
Logarithmic Compression for Memory Footprint Reduction in Neural Network Training

Deep neural network occupies a large memory space during its training phase. Since a computing environment in future IoT devices is restricted, a more hardware-aware approach with a smaller energy and memory footprint must be considered. In this paper, we propose a novel training method of neural network to decrease the memory usage by optimizing the representation format of temporary data in the training phase. Most of gradient values in the training are likely to be around zero. Our approach employs the logarithmic quantization that express a numerical value logarithmically for reducing the bit width. We evaluate the proposed method in the points of memory footprint and prediction accuracy. The results show that the proposed method effectively reduces memory footprint by about 60% with a slight degradation of the prediction accuracy.
Construction of high‐density bacterial colony arrays and patterns by the ink‐jet method

We have developed a method for fabricating bacterial colony arrays and complex patterns using commercially available ink‐jet printers. Bacterial colony arrays with a density of 100 colonies/cm2 were obtained by directly ejecting Escherichia coli (E. coli) onto agar‐coated substrates at a rapid arraying speed of 880 spots per second. Adjusting the concentration of bacterial suspensions allowed single colonies of viable bacteria to be obtained. In addition, complex patterns of viable bacteria as well as bacteria density gradients were constructed using desktop printers controlled by a simple software program. © 2003 Wiley Periodicals, Inc.
Transitional Tastes: Food Metaphors and Character Development in Manuel Gutiérrez Aragón’s Half of Heaven (Spain, 1986) and Silvio Caiozzi’s The Moon in the Mirror (Chile, 1990)

Abstract This paper explores the representation of food in Manuel Gutiérrez Aragón’s film Half of Heaven (Spain, 1986) and Silvio Caiozzi’s The Moon in the Mirror (Chile, 1990) as it depicts the political transition from dictatorship to democracy in Spain and Chile. While the Spanish transition was initiated with Francisco Franco’s death in 1975, and the Chilean transition with Augusto Pinochet supposedly stepping down in 1989, in both cases the dictatorial power structures ensured that such a shift in political ideology did not come into effect overnight. As a result, well after Franco’s death and Pinochet’s defeat, the regimes’ institutions remained in place. With this political context in mind, food features prominently as a metaphorical representation of the complex power struggles and political shifts that were occurring in these two countries at this time. In this way, the relationship of food—presented as either good or bad, edible or contaminated—is conflated with character development in such a way that it establishes a new set of semantic networks among characters that illuminates sociocultural dynamics and political debates in transitional Spain and Chile.
Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments

Nowadays, people get used to buying a variety of commodities from e-commerce platforms because of the convenience and easy access to Internet. As a result, the sales on e-commerce platforms have grown exponentially. It is promising to customize the online shops for different users under VR environments since users do not need to waste time of going upstairs or downstairs for finding interesting commodities. Therefore, in this demo paper, we propose a novel four-dimensional shopping mall that offers online group shopping services with the customized shop recommendation, where a group of friends in the proposed four-dimensional shopping mall can teleport to the next shop by one click. We formulate a Sequential group wIllingness OptimizatioN (SION) problem, prove SION is NP-hard, and provide an efficient algorithm called ζ-GSS. The experimental results show that the solution quality of the proposed ζ-GSS is close to the optimal solution, while the execution time only requires 3.3%. Finally, we build the prototype of the four-dimensional shopping mall, which can be demonstrated for users to experience the next-generation online shopping.
Between Rebel Creativity and Reification: For and Against Visual Activism

Examining the advantages and limitations of the term ‘visual activism’, this article considers three case studies: the artist–activist work of the Laboratory of Insurrectionary Imagination, a France-based collective dedicated to rebel creativity as part of the alter-globalization struggle for a world of economic equality, environmental sustainability, and social justice; the Grupo de Investigation en Arte y Politica (GIAP), until recently based in Chiapas, Mexico, where members have worked closely with the Zapatistas and their revolutionary politics of aesthetics and autonomous ecologies; and the photographer Subhanker Banerjee, who has dedicated himself to representing, researching, and politically organizing around Arctic environmentalism in recent years. All have used visual elements creatively in their practices to expand their political engagements, just as they have variously mobilized the political elements of their practices to redefine what art means today.
Relative Abundance and Diversity of Ciconiiforms in North-Central Oklahoma

We compared the relative abundance and diversity of ciconiiforms at Salt Plains National Wildlife Refuge in 1995 by using two census methods. Both methods revealed that cattle egrets were the most abundant species, with a relative abundance consistent to that observed by other investigators. Our study found that non-intrusive surveys by vehicle may be preferred over surveys by boat when relative abundance determination is the research goal. © 1999 Oklahoma Academy of Science