Miracle-dz/UniFAR-FTUs huggingface dataset:
Copy number variants in the population: Unselected does not mean unaffected

Commentary Copy number variants (CNVs; deletions or duplications of a stretch of chromosomal DNA) first came to attention as an important source of genomic variation in 2004 (1, 2). Since that time, numerous studies have been carried out to either 1) catalog CNVs that are found in normal, healthy individuals or 2) identify CNVs that are unique to or enriched in individuals with disease. The latter category of studies highlight CNVs that cause or increase risk of disease when present in an individual’s genome. Studies of healthy individuals provide a basis for comparison when studying disease populations. Combined, these studies help delineate what types of CNVs are most likely to be pathogenic (large, de novo, gene-rich) and which Copy Number Variations and Cognitive Phenotypes in Unselected Populations
RELATIONSHIPS AMONG SERVICE QUALITY , EXPERIENTIAL MARKETING , AND THE REVISIT INTENTION OF VISITORS TO TOURISM FACTORIES

This study established a linear structural equation model to explore the relationships among visitors’ revisit intentions and their perceptions of the service quality and experiential marketing of tourism factories. A structured questionnaire was developed as the survey instrument and was distributed to tourists of 22 tourism factories in Taoyuan City. A total of 440 valid questionnaires were obtained. The results showed that service quality directly and positively affected experiential marketing and revisit intention, with experiential marketing as well as service quality exhibiting a direct positive effect on revisit intention. The analysis results indicated that service quality was a key performance driver of revisit intention. Experiential marketing played the mediating role in the relationship between service quality and revisit intention. Thus, tourism factories must provide satisfactory service quality and experiential marketing processes to improve visitors’ revisit intentions and willingness to recommend the tourism factories to other people, thus enabling tourism factories to achieve sustainable operations.
Promising Results from Alzheimer's Disease Passive Immunotherapy Support the Development of a Preventive Vaccine

The apparently near-term effects of the monoclonal antibody BAN2401 in slowing the progression of prodromal Alzheimer's disease (AD) has created cautious optimism about the therapeutic use of antibodies that neutralize cytotoxic soluble amyloid-β aggregates, rather than removing plaque. Plaque being protective, as it immobilizes cytotoxic amyloid-β, rather than AD's causative agent. The presence of natural antibodies against cytotoxic amyloid-β implies the existence of a protective anti-AD immunity. Hence, for vaccines to induce a similar immunoresponse that prevents and/or delays the onset of AD, they must have adjuvants that stimulate a sole anti-inflammatory Th2 immunity, plus immunogens that induce a protective immunoresponse against diverse cytotoxic amyloid-β conformers. Indeed, amyloid-β pleomorphism may explain the lack of long-term protection by monoclonal antibodies that neutralize single conformers, like aducanumab. A situation that would allow new cytotoxic conformers to escape neutralization by previously effective monoclonal antibodies. Stimulation of a vaccine's effective immunoresponse would require the concurrent delivery of immunogen to dendritic cells and their priming, to induce a polarized Th2 immunity. An immunoresponse that would produce besides neutralizing antibodies against neurotoxic amyloid-β oligomers, anti-inflammatory cytokines; preventing inflammation that aggravates AD. Because of age-linked immune decline, vaccines would be significantly more effective in preventing, rather than treating AD. Considering the amyloid-β's role in tau's pathological hyperphosphorylation and their synergism in AD, the development of preventive vaccines against both amyloid-β and tau should be considered. Due to convenience and cost, vaccines may be the only option available to many countries to forestall the impending AD epidemic.
EVALUATION OF COEFFICIENT AND EQUIVALENT LINEARIZATION METHOD OF FEMA-440 FOR SOIL-STRUCTURE SYSTEMS

In recent years, Nonlinear Static Procedures (NSPs) have been attracted numerous researchers. The purpose of developing these methods is to predict the nonlinear demands of structures in a simple way with an acceptable accuracy. The whole MDOF structure converts to an equivalent nonlinear SDOF via pushover analysis and the nonlinear displacement of this SDOF system approximates approximately the nonlinear displacement of the whole structure. In order to find the nonlinear displacement of SDOF system varied methods are proposed in which Coefficient Method and Equivalent Linearization Method are the most applicable ones. It could be referred to FEMA-273, FEMA-356, and ATC-40 as the pioneer documents on this issue. It was also presented in FEMA-450 in design procedures. However, the aforementioned procedures were modified in FEMA-440 by analyzing a fixed base SDOF through 20 ground motions recorded at each site class categorized by FEMA-450. Moreover, the effect of Soil Structure Interaction on nonlinear demands in NSPs was discussed more elaborately than previous documents. As it was mentioned, since all the optimizations of FEMA-440 were performed for a SDOF model fixed at its base, its accuracy for soil structure system should be evaluated. In this study all the analysis were done in response spectra format for key influential non-dimensional parameters in soil-structure systems in order to make the result more comprehensive and applicable for wide ranges of ordinary structures and soil conditions.
An evaluation of current perspectives on consciousness and pain in fishes

There is growing societal and scientific interest in the welfare status of fish used for commercial enterprise. As animal welfare is primarily concerned with the quality of life of a conscious, sentient organism, the question of whether fishes are even capable of consciousness must first be addressed in order to assess their welfare status. Recently, there has been a resurgence of research investigating the biological basis for human consciousness, and our current understanding of the cognitive mechanisms underlying fish behaviour has likewise improved significantly. Combined, these research perspectives create an opportunity to better comprehend the phylogeny of traits associated with consciousness, as well as the emergence of consciousness itself during vertebrate evolution. Despite the availability of this literature, contemporary reviews or published studies investigating the probability of conscious states occurring in fishes often do so without considering new perspectives or data. In this paper, we review and critique recent publications that report equivocal conclusions favouring the absence or presence of consciousness in various fishes. By introducing other data into these analyses, we demonstrate that there are alternative perspectives which support the existence of consciousness in fishes as a plausible concept. An accurate assessment of the mental capacity of fishes will require enhanced knowledge of their forebrain neuroanatomy, an understanding of how such structures mediate behavioural responses, and an analysis of that information within the context of contemporary theory related to the evolution of consciousness in higher vertebrates.
Large deflection analysis of prismatic cantilever beam comparatively by using combing method and iterative

There is no exactly analytical solution for the large deflection problem of prismatic cantilever beams under general loading conditions. In the case of considering a non-prismatic cantilever beam, the difficulty of the larger deflection problem is increased. In this study, the comparison of the Iterative Differential Quadrature Method (I-DQM) and the Combining Method (CM) was performed. Numerical solution of the large deflection problem was separately performed with both the I-DQM and the CM for prismatic cantilever beams. The obtaining results show that both of these methods gave more accurate solutions compared with a reliable semi-analytic method which was introduced by Dado and Sadder (2005). Besides, it was demonstrated that the I-DQM provided a more wide-range solution than the CM.
Remark on the Laplacian-energy-like and Laplacian incidence energy invariants of graphs

Let G be an undirected connected graph with n vertices and m edges, n ≥ 3, and let μ1 ≥ μ2 ≥ · · · ≥ μn−1 > μn = 0 and ρ1 ≥ ρ2 ≥ · · · ≥ ρn−1 > ρn = 0 be Laplacian and normalized Laplacian eigenvalues of G, respectively. The Laplacian-energy-like (LEL) invariant of graph G is defined as LEL(G) = ∑n−1 i=1 √ μi. The Laplacian incidence energy of graph is defined as LIE(G) = ∑n−1 i=1 √ ρi. In this paper, we consider lower bounds of graph invariants LEL(G) and LIE(G) in terms of some graph parameters, that refine some known results.
Acridine probe study into synergistic DNA-denaturing action of heat and ultraviolet light in squamous cells.

A new probe for cellular DNA configuration is described. It distinguishes between native and denatured DNA in a population of suspended cells by determining that fraction of acriflavine initially intercalated into DNA at 4°C which is released when the temperature is subsequently raised to 25°C. The relatively unstable DNA-acriflavine bonds at single-stranded sites dissociate at 25°C while those at double-stranded sites do not. Under conditions of low ionic strength and high DNA:dye molar ratios, about 70% of the dye binds to DNA at 4°C. The fluorescence of bound dye is quenched; bond dissociation restores its fluorescence, allowing simple fluorometric analysis. The probe was employed to study the DNA-denaturing potential of the heat gained by epidermal cells when they absorb solar radiation. Desquamated human buccal cells served as models for epidermal cells. They were pretreated with trypsin to remove the stabilizing influence of nucleoproteins on the condensed chromatin of these nonreplicative cells. Cell samples were irradiated by a mercury arc at 24°, 32°, and 42°C. The two latter temperature levels represented those obtained on the skin surface indoors, and in bright sunlight at 26°C north latitude, respectively. The dose response for DNA denaturation was linear, its rate increasing with increasing irradiation temperature. The results suggest that temperature levels to which the skin surface is raised in a "sun belt" environment can add substantially to the DNA-denaturing effect of ultraviolet on human squamous cells.
THE EMERGENCE OF SUSTAINABLE TOURISM – A LITERATURE REVIEW

Tourism has become a multi-billion industry, which spans from high concentration urban cities to remote islands in the Indian Ocean. But, in some cases, the economic benefits come hand in hand with negative environmental and social impacts. Several regions in the world had to overcome disastrous environmental damage or the loss of their traditions and local culture due to the growth of the tourism industry. This is the main cause for the emergence of new forms of tourism (alternative tourism, eco tourism, rural tourism etc.) – gathered under the generic term of sustainable tourism. In the present paper we will present a short history of the concept and discuss some aspects regarding the definitions of sustainable tourism.
Discretion and the Transmission Lags of Monetary Policy

Monetary policy transmission lags create credibility problems for the inflationtargeting policy maker who acts under discretion. We show that if prices react to monetary policy with a longer lag than output, the welfare maximizing inflationtargeting policy implies no policy stabilization of cost-push shocks in the canonical New Keynesian model. The reason is simple: for the period monetary policy influences output, inflation is predetermined and the best discretionary policy is to stabilize the output gap fully. We find that money growth targeting comes close to replicating the welfare-maximizing policy under commitment if there are transmission lags. Keywords: discretionary and stabilization bias, monetary policy, transmission lags, inflation targeting, money targeting JEL classification numbers: E52, E58, E61
Product Costing for Sawmill Business Management

Several Swedish sawmill groups have recently developed product-costing systems to possibly compensate for diminishing production knowledge in recently centralized market organizations. The concept of product costs is challenging in sawmilling, since production is of a joint type – each log typically yields many products. The newly developed costing systems rely on traditional accounting-based methods and are of little use in decision-making because the resulting cost figures do not normally estimate actual cost changes.This thesis develops an alternative, theoretically defendable method based on linear programming, and tests it on a pine sawmill. Computer simulations are compared with traditional methods, and to analyze the effects of managing the salesmen by the product costs of the suggested method. The thesis relies on the joint-cost accounting discourse from the 1980s, which was abandoned before any essential application was found. This application has now been found through changes in the sawmill industry, and the discourse is here revived practically and theoretically.The sawmills are modeled with relative capacity restrictions and with constraints on the flexibility of their timber supply. Sales decisions based on product costs from the suggested method seem to successively improve company profit. To be successful, the product costs have to be recalculated regularly. Analyses indicate that with flexibility in purchasing timber and a low cost difference between buying scarce products and selling surplus products externally, the necessary length of the recalculation period and the usefulness of the suggested method both increase markedly.
Affetto : a child robot with realistic facial expressions *

Mutual attachment in caregiver-child relationship is considered to play a crucial role for social development of a child. In the field of cognitive developmental robotics, some child robots have been created to reveal the mechanism under such a developmental process. However, most of these robots have not been provided with a realistic childlike appearance and facial expressions, which seem important for inducing caregiver’s attachment. In this paper, we introduce our new child robot, Affetto, that has realistic face and facial expressions of 1to 2-year-old child, and discuss what kinds of issues on child development can be examined by using it.
Outage probability analysis of opportunistic cooperative multicast based on coded cooperation

Cooperative communication has been proposed to improve the performance affected by multi-path propagation in the wireless network. Then, coded cooperation is emerging as a promising technology to improve the outage performances. Combining the coded cooperation with opportunistic relaying scheme can minimize the outage probability. In this paper, we propose a multicast cooperation strategy based on opportunistic relay selection with coded cooperation. The outage performance analysis of this strategy is obtained in this work. Furthermore, through numerical results, we analyze the average outage probability of different number of relay and cooperative ratio.
Investigating the Relationship between Urban Space Factors and Social Capital in Historical Context: Evidence from City of Tehran

Social capital is a concept which can be mostly debated through the sociological and decision-making points of view. This article has tried to review the relation between key aspects of urban places and social capital. For analyzing the information Expert Choice software are been used for converting qualitative factors to the quantitative ones. The outcomes propose that there is a direct relation among permeability, pedestrian-orientation and socialization indicators with social capital for the other. Nonetheless, the fluctuating relation between permeability quality and social capital. About local places this correlation is positive and for places in city scale has a negative and indirect correlation.
Fusion between a novel Krüppel‐like zinc finger gene and the retinoic acid receptor‐alpha locus due to a variant t(11;17) translocation associated with acute promyelocytic leukaemia.

We have identified a unique case of acute promyelocytic leukaemia (APL) with a t(11;17) reciprocal chromosomal translocation involving the retinoic acid receptor alpha (RAR alpha) and a previously uncharacterized zinc finger gene. As a result of this translocation, mRNAs containing the coding sequences of the new gene, fused in‐frame either upstream of the RAR alpha B region or downstream from the unique A1 and A2 regions of the two major RAR alpha isoforms, are expressed from the rearranged alleles. The above gene, which we have termed PLZF (for promyelocytic leukaemia zinc finger), encodes a potential transcription factor containing nine zinc finger motifs related to the Drosophila gap gene Krüppel and is expressed as at least two isoforms which differ in the sequences encoding the N‐terminal region of the protein. Within the haematopoietic system the PLZF mRNAs were detected in the bone marrow, early myeloid cell lines and peripheral blood mononuclear cells, but not in lymphoid cell lines or tissues. In addition, the PLZF mRNA levels were down‐regulated in NB‐4 and HL‐60 promyelocytic cell lines in response to retinoic acid‐induced granulocytic differentiation and were very low in mature granulocytes. Our results demonstrate for the first time the association of a variant chromosomal translocation involving the RAR alpha gene with APL, further implicating the RAR alpha in leukaemogenesis and also suggesting an important role for PLZF as well as retinoic acid and its receptors in myeloid maturation.
C V ] 1 7 M ay 2 01 9 Multilinear Compressive Learning Dat

Compressive Learning is an emerging topic that combines signal acquisition via compressive sensing and machine learning to perform inference tasks directly on a small number of measurements. Many data modalities naturally have a multidimensional or tensorial format, with each dimension or tensor mode representing different features such as the spatial and temporal information in video sequences or the spatial and spectral information in hyperspectral images. However, in existing compressive learning frameworks, the compressive sensing component utilizes either random or learned linear projection on the vectorized signal to perform signal acquisition, thus discarding the multi-dimensional structure of the signals. In this paper, we propose Multilinear Compressive Learning, a framework that takes into account the tensorial nature of multi-dimensional signals in the acquisition step and builds the subsequent inference model on the structurally sensed measurements. Our theoretical complexity analysis shows that the proposed framework is more efficient compared to its vector-based counterpart in both memory and computation requirement. With extensive experiments, we also empirically show that our Multilinear Compressive Learning framework outperforms the vector-based framework in object classification and face recognition tasks, and scales favorably when the dimensionalities of the original signals increase, making it highly efficient for high-dimensional multi-dimensional signals.
The parAB gene products of Pseudomonas putida exhibit partition activity in both P. putida and Escherichia coli

The bacteria for which there is evidence that proteins of the ParAB family act in chromosome segregation also undergo developmental transitions that involve the ParAB homologues, raising the question of whether the partition activity is equivalent to that of plasmid partition systems. We have investigated the role in partition of the parAB locus of a free‐living bacterium, Pseudomonas putida, not known to pass through developmental phases. A parAB deletion mutant, compared with wild type, showed slightly higher frequencies of anucleate cells in exponen‐tially growing cultures but much higher frequencies in deceleration phase. This increase was growth medium dependent. Oversupply of ParA and ParB proteins also raised anucleate cell levels, specifically in the deceleration phase, in wild‐type and mutant strains and regardless of medium, as well as generating abnormal cell morphologies. Absence or oversupply of ParAB function had either slight or considerable effects on growth rate, depending on temperature and medium. The need for the Par proteins in chromosome partition thus appears to be subject to the cell’s physiological state. Three sequences similar to cis‐acting stabilization sites of Bacillus subtilis are present in the P. putida oriC–parAB region. One was inserted into an unstable mini‐F and shown to stabilize it in E. coli in a ParAB‐dependent manner.
Local oscillator phase noise effects on phase angle component of GNSS code correlation

This paper demonstrates the effect of radio frequency (RF) front-end (FE) free-running local oscillator (FRO) phase noise (PN) on the phase component of the Global Navigation Satellite System (GNSS) code correlation product. It is observed that as FE PN increases, it adversely affects the stability of the phase component of the code correlation. The tracking loops in baseband processing of a GNSS receiver attempt to lock on to the frequency, delay and phase of the correlation product. Until these parameters are varying within acceptable bounds, set by the dynamics handling capability of the tracking loops, the tracking loops are able to successfully track the satellite signal. However, PN increases the variation in phase of the correlation product calculated over consecutive epochs and may also cause loss of tracking lock if these variations go beyond phase locked loop (PLL) pull-in range thresholds. This paper studies the relation between FRO PN and phase component of correlation through numerical analysis, and software simulations by artificially contaminating GNSS signal stream with PN of increasing variance and checking the result on the standard deviation (SD) of the phase component of correlation product. Based on these results, this paper recommends certain maximum limits on the FE PN in order to keep the SD of phase component below the one-sigma phase error limits of the PLL used in typical GNSS tracking loops.