Miracle-dz/UniFAR-FTUs huggingface dataset:
Oligomeric structure of the human asialoglycoprotein receptor: nature and stoichiometry of mutual complexes containing H1 and H2 polypeptides assessed by fluorescence photobleaching recovery

The interactions between H1 and H2, the two polypeptides comprising the human asialoglycoprotein receptor (ASGP-R), were investigated by immunofluorescence and lateral mobility measurements combined with antibody-mediated cross-linking and immobilization. Immunofluorescence microscopy revealed two ASGP-R populations on the cell surface, one homogeneously distributed and the other in micropatches. This was observed both in stably transfected NIH 3T3 lines expressing H1 and/or H2, and in the human hepatoma cell line HepG2. In transfected cells expressing both polypeptides (the 1-7-1 line), H1 and H2 were colocalized in the same micro aggregates. Moreover, enhancement of the patching of, e.g., H1 by IgG-mediated crosslinking was accompanied by copatching of H2. To quantify H1-H2 complex formation, the lateral diffusion of H1 and H2 was measured at 12 degrees C (to avoid internalization) by fluorescence photobleaching recovery. H1 (or H2) was immobilized by crosslinking with specific IgG molecules; the other chain was labeled with fluorescent monovalent Fab' fragments, and is lateral mobility was measured. In HepG2 cells, immobilization of either H1 or H2 led to an equal immobilization of the other, indicating that all the mobile H1 and H2 are in stable heterooligomers. In 1-7-1 cells, immobilization of H2 immobilized H1 to the same degree, but immobilization of H1 reduced the mobile fraction of H2 only by 2/3. Thus, in 1-7-1 cells all surface H1 molecules are associated with H2, but 1/3 of the H2 population is independent of H1. From these data and from measurements of the relative surface densities of H1 and H2, conclusions are drawn regarding the oligomeric structure and stoichiometry of the ASGP-R.
A SURVEY ON GEOMETRIC DATA TRANSFORMATION FOR PRIVACY PRESERVING ON DATA STREAM

Recently data stream mining is new emerging field of data. It is different from traditional static data. In stream data, data is changing dynamically. They have characteristics like timing preference, data distribution changes constantly with time, data flows in and out with speed, amount of data is enormous and immediate response is required. So, to preserve the privacy during data stream mining many privacy preserving techniques have been proposed. Many existing techniques for privacy preserving are suitable for traditional static database but not suitable for dynamic data. So in data stream privacy preservation is an important issue. To achieve the privacy and balancing the accuracy we will use geometric data transformation (perturbation) technique. This paper present survey about geometric data perturbation technique for privacy preserving data mining.
Output synchronization of multi-machine power system using dissipative Hamiltonian realization

Interconnected power grid becomes more complex and tends to be vulnerable to unwanted disturbances; thus, transient stability of the power system becomes an important research topic. In this paper, we propose a control law that not only enhances the transient stability but also makes the system to satisfy output synchronization. The key idea of this paper is that the power system can be realized as Port-Controlled Hamiltonian(PCH) model and the model automatically satisfies the passivity with respect to input and output relationship. Using the property, we can analyze the output synchronization by employing consensus algorithm. Through simulation results, we evaluate the synchronization analysis.
Exome Sequencing of a Multigenerational Human Pedigree

Over the next few years, the efficient use of next-generation sequencing (NGS) in human genetics research will depend heavily upon the effective mechanisms for the selective enrichment of genomic regions of interest. Recently, comprehensive exome capture arrays have become available for targeting approximately 33 Mb or ∼180,000 coding exons across the human genome. Selective genomic enrichment of the human exome offers an attractive option for new experimental designs aiming to quickly identify potential disease-associated genetic variants, especially in family-based studies. We have evaluated a 2.1 M feature human exome capture array on eight individuals from a three-generation family pedigree. We were able to cover up to 98% of the targeted bases at a long-read sequence read depth of ≥3, 86% at a read depth of ≥10, and over 50% of all targets were covered with ≥20 reads. We identified up to 14,284 SNPs and small indels per individual exome, with up to 1,679 of these representing putative novel polymorphisms. Applying the conservative genotype calling approach HCDiff, the average rate of detection of a variant allele based on Illumina 1 M BeadChips genotypes was 95.2% at ≥10x sequence. Further, we propose an advantageous genotype calling strategy for low covered targets that empirically determines cut-off thresholds at a given coverage depth based on existing genotype data. Application of this method was able to detect >99% of SNPs covered ≥8x. Our results offer guidance for “real-world” applications in human genetics and provide further evidence that microarray-based exome capture is an efficient and reliable method to enrich for chromosomal regions of interest in next-generation sequencing experiments.
Effects of Social Reinforcement on the Emission of Tacts by Preschoolers

We conducted 2 experiments on the effects of social attention versus token contingencies on the emission of verbal operants by preschoolers, with and without a disability diagnosis. Four participants, 3 females and 1 male, 3 to 4 years old, were selected to participate in Experiment 1 and 6 participants, 5 females and 1 male, 2 to 4 years old, in Experiment 2. Experiment 1 compared effects of the 2 contingencies on numbers of child-initiated tacts in 3 different settings using an alternating treatment design. Experiment 2, using a multielement design, compared the automated delivery of tokens versus adult attention on the percentage of peer-to-peer and adult conversational units. Participants in both experiments initiated more tacts with contingent social attention than with contingent tokens. Implications are that tacts and conversational units are maintained more by social reinforcers than nonsocial generalized conditioned reinforcers (i.e., tokens). Social control of tacts may be essential to social verbal behavior.
Trellis-coded pulse-position modulation for indoor wireless infrared communications

We analyze the performance of trellis-coded pulse-position modulation (PPM) on indoor, wireless infrared channels. We show that maximum-likelihood sequence detection (MLSD) of trellis-coded PPM is very effective in mitigating the multipath dispersion on such channels. We present code search results for high constraint-length, rate-2/3, 8-PPM and rate-3/4, 16-PPM codes. We provide bit-error-rate curves and intersymbol interference power penalties for MLSD of PPM with these codes, evaluated on ceiling-bounce channel models with delay spread per bit duration ratios of 0.02 to 0.3. Finally, we present Monte Carlo simulation results to verify our analysis.
Toxicity of red Liriope platyphylla manufactured by steaming process on liver and kidney organs of ICR mice

Red Liriope platyphylla (RLP) produced by steaming process has been reported to enhance the secretion of insulin and nerve growth factor (NGF). However, there has been no report on the toxicity of RLP in the specific organs of mice. To investigate the toxic effect of RLP, we tried to observe a significant alteration on body weight, food/water intake, organ weight, liver pathology and kidney pathology in female ICR mice received 12.5, 25.0 and 50.0 mg/kg body weight/day of RLP via gavage for 10 days. Out of seven organs including brain, heart, lung, liver, kidney, spleen and ovary, two organs (heart and lung) showed significantly decreased weights in the medium dosage RLP-treated group, whereas weights of other organs were maintained at constant levels in all dosage groups. In the liver toxicity analysis, no significant increase of alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate amino-transferase (AST) were detected in any RLP-treated group compared to vehicle-treated group. The specific pathological changes induced by most of toxic compounds were not observed in the liver in microscopic examination. Furthermore, in the kidney toxicological analysis, a significant enhancement of the blood urea nitrogen (BUN) concentration was detected in the high dosage RLP-treated group compared to the vehicle-treated group. However, the serum creatinine (CA) concentration on the serum biochemistry as well as the pathological changes in microscopic examination were not significantly different between the vehicle- and RLP-treated groups. Therefore, these results suggest that RLP does not induce any specific toxicity in liver or kidney tissues of mice, although the BUN level slightly increased in 50.0 mg/kg of RLP-treated group.
Toxicity Prediction using Deep Learning

Everyday we are exposed to various chemicals via food additives, cleaning and cosmetic products and medicines — and some of them might be toxic. However testing the toxicity of all existing compounds by biological experiments is neither financially nor logistically feasible. Therefore the government agencies NIH, EPA and FDA launched the Tox21 Data Challenge within the “Toxicology in the 21st Century” (Tox21) initiative. The goal of this challenge was to assess the performance of computational methods in predicting the toxicity of chemical compounds. State of the art toxicity prediction methods build upon specifically-designed chemical descriptors developed over decades. Though Deep Learning is new to the field and was never applied to toxicity prediction before, it clearly outperformed all other participating methods. In this application paper we show that deep nets automatically learn features resembling well-established toxicophores. In total, our Deep Learning approach won both of the panel-challenges (nuclear receptors and stress response) as well as the overall Grand Challenge, and thereby sets a new standard in tox prediction.
Cross-Cultural Awareness

Learning about the other culture is very important starting point. Culture is a basic definition. First of all, in the context of cultural awareness, we have to understand what culture refers to. For this purpose, let's simply define culture as all the (often unspoken) standards and (mostly unwritten) rules that guide a certain group's behavior.
A 3Gb/s/wire global on-chip bus with near velocity-of-light latency

We successfully show the practical feasibility of a purely electrical global on-chip communication link with near velocity-of-light delay. The implemented high-speed link comprises a 5mm long, fully shielded, repeaterless, on-chip global bus reaching 3Gb/s/wire in a standard 0.18/spl mu/m CMOS process. Transmission-line-style interconnects are achieved by routing signal wires in the thicker top metal M6 layer and utilizing a metal M4 ground return plane to realize near velocity-of-light data transmission. The nominal wire delay is measured to 52.8ps corresponding to 32% of the velocity of light in vacuum. A 22% measured worst-case crosstalk induced delay variation is dominated by inductive coupling.
Development of Simple Sequence Repeat (SSR) Markers of Sesame (Sesamum indicum) from a Genome Survey

Sesame (Sesamum indicum), an important oil crop, is widely grown in tropical and subtropical regions. It provides part of the daily edible oil allowance for almost half of the world’s population. A limited number of co-dominant markers has been developed and applied in sesame genetic diversity and germplasm identity studies. Here we report for the first time a whole genome survey used to develop simple sequence repeat (SSR) markers and to detect the genetic diversity of sesame germplasm. From the initial assembled sesame genome, 23,438 SSRs (≥5 repeats) were identified. The most common repeat motif was dinucleotide with a frequency of 84.24%, followed by 13.53% trinucleotide, 1.65% tetranucleotide, 0.3% pentanucleotide and 0.28% hexanucleotide motifs. From 1500 designed and synthesised primer pairs, 218 polymorphic SSRs were developed and used to screen 31 sesame accessions that from 12 countries. STRUCTURE and phylogenetic analyses indicated that all sesame accessions could be divided into two groups: one mainly from China and another from other countries. Cluster analysis classified Chinese major sesame varieties into three groups. These novel SSR markers are a useful tool for genetic linkage map construction, genetic diversity detection, and marker-assisted selective sesame breeding.
Burden of Hospital Acquired Infections and Antimicrobial Use in Vietnamese Adult Intensive Care Units

Background Vietnam is a lower middle-income country with no national surveillance system for hospital-acquired infections (HAIs). We assessed the prevalence of hospital-acquired infections and antimicrobial use in adult intensive care units (ICUs) across Vietnam. Methods Monthly repeated point prevalence surveys were systematically conducted to assess HAI prevalence and antimicrobial use in 15 adult ICUs across Vietnam. Adults admitted to participating ICUs before 08:00 a.m. on the survey day were included. Results Among 3287 patients enrolled, the HAI prevalence was 29.5% (965/3266 patients, 21 missing). Pneumonia accounted for 79.4% (804/1012) of HAIs Most HAIs (84.5% [855/1012]) were acquired in the survey hospital with 42.5% (363/855) acquired prior to ICU admission and 57.5% (492/855) developed during ICU admission. In multivariate analysis, the strongest risk factors for HAI acquired in ICU were: intubation (OR 2.76), urinary catheter (OR 2.12), no involvement of a family member in patient care (OR 1.94), and surgery after admission (OR 1.66). 726 bacterial isolates were cultured from 622/1012 HAIs, most frequently Acinetobacter baumannii (177/726 [24.4%]), Pseudomonas aeruginosa (100/726 [13.8%]), and Klebsiella pneumoniae (84/726 [11.6%]), with carbapenem resistance rates of 89.2%, 55.7%, and 14.9% respectively. Antimicrobials were prescribed for 84.8% (2787/3287) patients, with 73.7% of patients receiving two or more. The most common antimicrobial groups were third generation cephalosporins, fluoroquinolones, and carbapenems (20.1%, 19.4%, and 14.1% of total antimicrobials, respectively). Conclusion A high prevalence of HAIs was observed, mainly caused by Gram-negative bacteria with high carbapenem resistance rates. This in combination with a high rate of antimicrobial use illustrates the urgent need to improve rational antimicrobial use and infection control efforts.
Positive self regulation of cytotoxicity in human natural killer cells by production of interferon upon exposure to influenza and herpes viruses

Augmentation of natural killer (NK) activity by influenza A/PC and HSV- 1 viruses appears to be caused by the induction of interferon (IFN) within the NK cell population itself. These viruses induced high levels of IFN production by human large granular lymphocytes (LGL) that could be readily isolated from peripheral blood by Percoll density gradients. These LGL, which have been previously shown to account for and to be highly associated with endogenous NK activity, became augmented in their lytic function during the 18-h period that IFN was induced. Non- LGL helper cells did not appear to be required in the NK-IFN system (either T cells, B cells, or monocytes). Removal of these latter cell types by treatment with OKT3 plus complement, anti-IgM plus complement, or preincubation with silica or carrageenan had no effect on the ability of LGL to respond to the viruses. Production of IFN was also detected, albeit at lower levels, from monocytes cultured for 18 h with viruses, but no cytotoxic activity was induced. On the other hand, T cells, even in the presence of monocytes, showed neither property, and longer cultures, with virus up to 4 d, still did not alter the pattern. The IFN produced by both LGL and monocytes were predominantly IFN- alpha, as assessed by neutralization assays with antisera to IFN-alpha, -beta, and -gamma. In an individual with detectable serum antibodies to influenza A/PC, however, the IFN induced in LGL appeared to be gamma, presumably because of specific recognition of the virus. These data suggest an efficient positive self-regulatory mechanism in NK cells that may be readily switched on by viruses.
Origin of lunar sinuous rilles: Modeling effects of gravity, surface slope, and lava composition on erosion rates during the formation of Rima Prinz

[1] Lunar sinuous rilles have long been interpreted as features that formed as the result of surficial lava flow, though the precise mechanism responsible for channel formation (constructed versus eroded origins) is still debated. In assessing the origin of Rima Prinz, a channel interpreted to have formed by erosion, two erosion regimes, mechanical and thermal, are considered. Measurements of channel dimensions are used as inputs to analytical models to constrain the origin of Rima Prinz, including lava compositions, mechanical and thermal erosion rates, eruption durations, and lava volumes required to form the feature. Key results indicate that Rima Prinz and other large sinuous rilles could have formed as the result of thermal erosion under the weak gravity and low slope conditions characteristic of these lunar features. Further analysis indicates that lava composition has significant effects on channel formation. Model results of four considered lava compositions show that komatiite-like lava will erode a similarly composed substrate most efficiently whereas a high-Ti basalt will erode a similarly composed substrate least efficiently; ocean island basalt and low-Ti basalt erode similarly composed substrates at intermediate rates. Results indicate that Rima Prinz may have formed over 0.4–2.2 Earth years, depositing 50–250 km3 of lava over a plausible deposit area of 2450 km2. Resulting deposit thicknesses suggest that the lava that incised Rima Prinz was most likely similar in composition to a terrestrial komatiite, ocean island basalt, or lunar low-Ti basalt. Further constraints on sinuous rille formation will serve as a window into the nature of volcanic activity of the Moon's past.
Network awareness for mobile agents on ad hoc networks

This paper introduces a state description for mobile agent systems on ad hoc networks, allowing agents to reason about how they communicate over the agent systemýs underlying network. The ability to make intelligent decisions about communications allows agents to achieve their goals more efficiently, and increase the security and survivability of an agent system. One application of this model includes a formal representation of information assurance for agent messaging on dynamic networks with possibly redundant routes. We use this framework to study the "compromised host" problem ¿ specifically, how agents should react after an intruder has been detected. This is done by first quantifying the effect of the compromised host on the integrity of messages among agents; and then selecting a routing policy with respect to message integrity and the compromised host (e.g., rerouting to avoid the host or continuing to communicate through it). We provide examples of how this technique can be used to improve information assurance for agent-to-agent communications and information distribution in sensor networks. Empirical validation in the SecureWireless Agent Testbed (SWAT) shows network awareness improves the survivability and efficiency of mobile agent systems.
Systematic Analysis of Gene Expression Alterations and Clinical Outcomes for Long-Chain Acyl-Coenzyme A Synthetase Family in Cancer

Dysregulated lipid metabolism contributes to cancer progression. Our previous study indicates that long-chain fatty acyl-Co A synthetase (ACSL) 3 is essential for lipid upregulation induced by endoplasmic reticulum stress. In this report, we aimed to identify the role of ACSL family in cancer with systematic analysis and in vitro experiment. We explored the ACSL expression using Oncomine database to determine the gene alteration during carcinogenesis and identified the association between ACSL expression and the survival of cancer patient using PrognoScan database. ACSL1 may play a potential oncogenic role in colorectal and breast cancer and play a potential tumor suppressor role in lung cancer. Co-expression analysis revealed that ACSL1 was coexpressed with MYBPH, PTPRE, PFKFB3, SOCS3 in colon cancer and with LRRFIP1, TSC22D1 in lung cancer. In accordance with PrognoScan analysis, downregulation of ACSL1 in colon and breast cancer cell line inhibited proliferation, migration, and anchorage-independent growth. In contrast, increase of oncogenic property was observed in lung cancer cell line by attenuating ACSL1. High ACSL3 expression predicted a better prognosis in ovarian cancer; in contrast, high ACSL3 predicted a worse prognosis in melanoma. ACSL3 was coexpressed with SNUPN, TRIP13, and SEMA5A in melanoma. High expression of ACSL4 predicted a worse prognosis in colorectal cancer, but predicted better prognosis in breast, brain and lung cancer. ACSL4 was coexpressed with SERPIN2, HNRNPCL1, ITIH2, PROCR, LRRFIP1. High expression of ACSL5 predicted good prognosis in breast, ovarian, and lung cancers. ACSL5 was coexpressed with TMEM140, TAPBPL, BIRC3, PTPRE, and SERPINB1. Low ACSL6 predicted a worse prognosis in acute myeloid leukemia. ACSL6 was coexpressed with SOX6 and DARC. Altogether, different members of ACSLs are implicated in diverse types of cancer development. ACSL-coexpressed molecules may be used to further investigate the role of ACSL family in individual type of cancers.
Understanding the Relationship between Depression, Hopelessness, Psychache and Suicide Risk

Two studies were undertaken to examine the relationship between suicidality and three key psychological predictors of suicide risk, namely, depression, hopelessness, and psychache. Study 1 determined the degree to which these suicide risk predictors are distinct using a sample of undergraduate students (N = 587). Because typical measures of depression, hopelessness, and psychache differ in terms of their scale format, results were compared using original items, dichotomized items, parcels of original items, and parcels of dichotomized items. Exploratory and confirmatory factor analyses indicated that depression, hopelessness, and psychache comprise three separate, but correlated factors. Psychache accounted for a greater proportion of variance in depression and hopelessness than vice versa, and psychache was also more strongly associated with a wider range of suicide criteria than depression and hopelessness, though all three predictors made unique contributions to suicidality. In order to ascertain whether suicide risk predictors interact with stress to predict suicidality, study 2 compared diathesis-stress models of depression, hopelessness, and psychache in a 4-month longitudinal study using an independent sample of university undergraduates (N = 301). When initial levels of all variables were controlled, hopelessness and psychache, but not depression, were significantly associated with suicide risk. Furthermore, negative cognitions about oneself, the world, and the future served as a common diathesis that interacted with major negative life events to precipitate increases in both hopelessness and psychache. Simple slopes analyses further indicated that among individuals with a low level of cognitive diathesis, the frequency of major life stressors was positively associated with both hopelessness and psychache. However, among individuals with a high level of cognitive diathesis, the frequency of