Miracle-dz/UniFAR-FTUs huggingface dataset:
Selective packaging of human growth hormone into synaptic vesicles in a rat neuronal (PC12) cell line

We have introduced the gene for human growth hormone (hGH) into PC12 cells, a rat pheochromocytoma-derived cell line with neuronal characteristics, and have isolated stable cell lines that express this protein. hGH is stored within the cells in membrane-bounded vesicles that are indistinguishable from the endogenous catecholaminergic synaptic vesicles. When the transfected cells are stimulated by carbachol or direct depolarization, they release norepinephrine and hGH with parallel kinetics. Treatment of the transfected cells with nerve growth factor results in a twofold increase in the amounts of hGH stored in and secreted from the cells. Not all proteins are packaged into the synaptic vesicles, since the rate of release of laminin, a soluble secreted protein endogenous to PC12 cells, is not stimulated by carbachol. This neuronal cell line therefore possesses at least two distinct pathways for secretion and can selectively package a foreign endocrine hormone into the regulated pathway.
Carbon 13 exchanges between the atmosphere and biosphere

We present a detailed investigation of the gross 12C and 13C exchanges between the atmosphere and biosphere and their influence on the δ13C variations in the atmosphere. The photosynthetic discrimination Δ against 13C is derived from a biophysical model coupled to a general circulation model [Sellers et al., 1996a], where stomatal conductance and carbon assimilation are determined simultaneously with the ambient climate. The δ13C of the respired carbon is calculated by a biogeochemical model [Potter et al., 1993; Randerson et al., 1996] as the sum of the contributions from compartments with varying ages. The global flux‐weighted mean photosynthetic discrimination is 12–16‰, which is lower than previous estimates. Factors that lower the discrimination are reduced stomatal conductance and C4 photosynthesis. The decreasing atmospheric δ13C causes an isotopic disequilibrium between the outgoing and incoming fluxes; the disequilibrium is ∼0.33‰ for 1988. The disequilibrium is higher than previous estimates because it accounts for the lifetime of trees and for the ages rather than turnover times of the biospheric pools. The atmospheric δ13C signature resulting from the biospheric fluxes is investigated using a three‐dimensional atmospheric tracer model. The isotopic disequilibrium alone produces a hemispheric difference of ∼0.02‰ in atmospheric δ13C, comparable to the signal from a hypothetical carbon sink of 0.5 Gt C yr−1 into the midlatitude northern hemisphere biosphere. However, the rectifier effect, due to the seasonal covariation of CO2 fluxes and height of the atmospheric boundary layer, yields a background δ13C gradient of the opposite sign. These effects nearly cancel thus favoring a stronger net biospheric uptake than without the background CO2 gradient. Our analysis of the globally averaged carbon budget for the decade of the 1980s indicates that the biospheric uptake of fossil fuel CO2 is likely to be greater than the oceanic uptake; the relative proportions of the sinks cannot be uniquely determined using 12C and 13C alone. The land‐ocean sink partitioning requires, in addition, information about the land use source, isotopic disequilibrium associated with gross oceanic exchanges, as well as the fractions of C3 and C4 vegetation involved in the biospheric uptake.
On the application of the unscented Kalman filter to speech processing

In a series of recent studies a new approach for applying the Kalman filter to nonlinear system, referred to as Unscented Kalman filter (UKF), was proposed. In this contribution 1 we apply the UKF to several speech processing problems, in which a model with unknown parameters is given to the measured signals. We show that the nonlinearity arises naturally in these problems. Preliminary simulation results for artificial signals manifests the potential of the method.
The Moderating Effect of Organizational Social Phenomenon on the Psychological Well-Being of Military Peacekeepers

Since the end of the Cold War in 1989, and prior to the Global War on Terrorism, the United States Army has been involved in a number of extended (i.e., six-months or longer) overseas deployments, far exceeding the number of military operations during the previous 15-year period (1975-1989). While these operational deployments have ranged across the full spectrum of military operations, the majority of these operations have been for peacekeeping or humanitarian assistance to foreign governments. Following the events of September 11, 2001 individuals in uniform face a high likelihood of deploying overseas in support of both combat and peacekeeping/humanitarian type operations. In light of the increased personnel tempo, military leaders have questioned the toll these deployments have on individual, organizational, and familial functioning (Levy, Thie, Sollinger, & Kawata, 2000). Recent studies on the impact of military peacekeeping operations, for example, have examined the effects of leadership, coping, previous traumatic events, and exposure to traumatic events on psychological well-being (Arincorayan, 2000; Bolton, Litz, Britt, Adler, & Roemer, 2001; Lamerson & Kelloway, 1996). These studies sought to identify not only factors that contributed to the potentially harmful nature of military deployment on psychological well-being, but also the longterm psychological consequences of deployment for both soldiers and family members. Prior research has provided valuable information in helping military planners and health care providers in understanding the relationship between deployment stressors and individual strain reactions. A paucity of research, however, currently exists that attempts to examine the potential buffering properties of social phenomenon in military units in the stress-strain process.
Independent 3D motion detection based on depth elimination in normal flow fields

This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solving this problem rely on restrictive assumptions about the environment, the observer's motion, or both. Moreover they are based on the computation of optical flow, which amounts to solving the ill-posed correspondence problem. In this work, independent motion detection is formulated as robust parameter estimation applied to the visual input acquired by a binocular rigidly moving observer. Depth and motion measurements are combined in a linear model. The parameters of this model are related to the parameters of self-motion (egomotion) and the parameters of the stereoscopic configuration of the observer. The robust estimation of this model leads to a segmentation of the scene based on 3D motion. The method avoids the correspondence problem by employing only normal flow fields. Experimental results demonstrate the effectiveness of this method in detecting independent motion in scenes with large depth variations, without any constraints imposed on observer motion.
Resistance to and Accumulation of Heavy Metals by Actinobacteria Isolated from Abandoned Mining Areas

Accumulation of high concentrations of heavy metals in environments can cause many human health risks and serious ecological problems. Nowadays, bioremediation using microorganisms is receiving much attention due to their good performance. The aim of this work is to investigate heavy metals resistance and bioaccumulation potential of actinobacteria strains isolated from some abandoned mining areas. Analysis of mining residues revealed that high concentration of zinc “Zn” was recorded in Sidi Bouatman, Arbar, and Bir Nhass mining residues. The highest concentration of lead “Pb” was found in Sidi Bouatman. Copper “Cu,” cadmium “Cd,” and chromium “Cr” were found with moderate and low concentrations. The resistance of 59 isolated actinobacteria to the five heavy metals was also determined. Using molecular identification 16S rRNA, these 27 isolates were found to belong to Streptomyces and Amycolatopsis genera. The results showed different levels of heavy metal resistance; the minimum inhibitory concentration (MIC) recorded was 0.55 for Pb, 0.15 for Cr, and 0.10 mg·mL−1 for both Zn and Cu. Chemical precipitation assay of heavy metals using hydrogen sulfide technic (H2S) revealed that only 27 isolates have a strong ability to accumulate Pb (up to 600 mg of Pb per g of biomass for Streptomyces sp. BN3).
Graphene mode-locked multipass-cavity femtosecond Cr 4+ : forsterite laser

We report, for the first time to our knowledge, the use of graphene as a saturable absorber in an energy-scaled femtosecond Cr4+: forsterite laser. By incorporating a multipass cavity, the repetition rate of the original short resonator was reduced to 4.51 MHz, which resulted in the generation of 100 fs, nearly transform-limited pulses at 1252 nm with a peak power of 53 kW. To the best of our knowledge, this is the highest peak power obtained from a room-temperature, femtosecond Cr4+: forsterite laser mode locked with a graphene saturable absorber. The corresponding pulse energy was 5.3 nJ with only 24 mW of average output power. The saturation fluence and modulation depth of the GSA were measured to be 25 μJ/cm2 and 0.74%, respectively. The nonlinear effects in the Cr4+: forsterite medium that limit further power scaling were also investigated by using different output couplers.
Modeling and Control of the Yaw Channel of a UAV Helicopter

We present in this paper the modeling and flight-control-system design for the yaw channel of an unmanned-aerial-vehicle (UAV) helicopter using a newly developed composite nonlinear feedback (CNF)-control technique. The CNF-control method has been proven to be capable of yielding a fast transient response with no or very minimal overshoot in tracking a specific target. From the actual flight tests on our UAV helicopter, it has been found that the commonly used yaw dynamical model for the UAV helicopter proposed in the literature is very rough and inaccurate, which might cause the helicopter to shake severely in certain flight conditions. This motivates us to first obtain a more accurate model for the yaw channel of our UAV helicopter. The CNF-control method is then utilized to design an efficient control law, which gives excellent overall performance. In particular, our design has achieved a Level 1 performance according to the standards set for military rotorcraft. The results are verified through actual flight tests.
Osteoporosis and low bone mass in premenopausal and perimenopausal women.

OBJECTIVE To characterize the historical, clinical, and biochemical features of 111 young women (age, <55 years) referred for evaluation of osteoporosis or low bone mass. METHODS Women with a bone mineral density T score < or = -2.0 (N = 111) at one or more anatomic sites (by dual-energy x-ray absorptiometry) were assessed relative to anthropomorphic and biochemical characteristics and risk factors for osteoporosis. RESULTS Of 111 women with low bone mass or osteoporosis, 73 (66%) had identifiable causes of bone loss, of which estrogen deficiency (menopause, premenopausal estrogen deficiency) and conditions associated with estrogen deficiency (anorexia nervosa, cancer chemotherapy) were the most common. Prolonged use of glucocorticoids was the most common secondary cause of osteoporosis. Of 38 women with no identifiable cause of bone loss, 21 were premenopausal (mean age, 38 +/- 10 years [standard deviation]) and 17 were perimenopausal (mean age, 50 +/- 3 years). The mean lumbar spine T score was -2.18 +/- 1.0 in the premenopausal and -2.51 +/- 0.6 in the perimenopausal women. Nontraumatic fractures were reported by 42% of the premenopausal women and 18% of the perimenopausal women. A family history of osteoporosis was reported by 71% of the premenopausal and 47% of the perimenopausal women. CONCLUSION Most young women with osteoporosis or low bone mass had estrogen deficiency or another secondary cause of premature bone loss (or both). A subset of premenopausal and perimenopausal women, however, had no identifiable cause of bone loss. The strong family history of osteoporosis, especially in the premenopausal women, provides further support for current theories of a genetic predisposition to osteoporosis.
Recombinant antibody fragments allow repeated measurements of C-reactive protein with a quartz crystal microbalance immunosensor

C-reactive protein (CRP) is a serum marker highly upregulated in inflammation after bacterial infection. Robust, reliable and quick quantification of CRP would be a substitute for erythrocyte sedimentation rate (ESR) with superior diagnostic value. Quartz crystal microbalance (QCM) based sensors coated with specific antibodies and integrated into lab-on-chip systems are in development for rapid point of care quantification. In this study, we isolated three CRP specific single chain (sc)Fv antibody fragments using phage display from an antibody gene library. Their affinities ranged from 2.7 × 10−8 to 1.0 × 10−8 M when measured by surface plasmon resonance. ScFv antibody fragment LA13-IIE3 showed best affinity, high long-term stability and remarkable resistance to denaturation. This scFv antibody fragment was coupled to a QCM sensor. CRP quantification in up to 15 samples sequentially measured on the same sensor with intermitting regeneration by buffer was demonstrated.
Depletion of nuclear actin is a key mediator of quiescence in epithelial cells

Functional differentiation is orchestrated by precise growth-regulatory controls conveyed by the tissue microenvironment. Cues from laminin 111 (LN1) lower transcription and suppress mammary epithelial cell growth in culture, but how LN1 induces quiescence is unknown. Recent literature points to involvement of nuclear β-actin in transcriptional regulation. Here, we show that quiescence induced by growth factor withdrawal, or LN1 addition, rapidly decreases nuclear β-actin. LN1, but not other extracellular matrix (ECM) molecules, decreases the levels of nuclear β-actin and destabilizes RNA polymerase (RNA Pol) II and III binding to transcription sites, leading to a dramatic drop in transcription and DNA synthesis. Constitutive overexpression of globular β-actin in the nucleus reverses the effect of LN1 on transcription and RNA Pol II association and prevents the cells from becoming quiescent in the presence of LN1. The physiological relevance of our findings was verified by identifying a clear spatial separation of LN1 and β-actin in developing mammary end buds. These data indicate a novel role for nuclear β-actin in growth arrest of epithelial cells and underscore the importance of the integrity of the basement membrane in homeostasis.
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks

Multidimensional recurrent neural networks (MDRNNs) have shown a remarkable performance in the area of speech and handwriting recognition. The performance of an MDRNN is improved by further increasing its depth, and the difficulty of learning the deeper network is overcome by using Hessian-free (HF) optimization. Given that connectionist temporal classification (CTC) is utilized as an objective of learning an MDRNN for sequence labeling, the non-convexity of CTC poses a problem when applying HF to the network. As a solution, a convex approximation of CTC is formulated and its relationship with the EM algorithm and the Fisher information matrix is discussed. An MDRNN up to a depth of 15 layers is successfully trained using HF, resulting in an improved performance for sequence labeling.
Influence propagation over large scale social networks

We study the influence diffusion problem in online social networks. Formally, given a network represented by a directed graph G = (V, E), we consider a process of influence diffusion in G that proceeds as follows: Initially only the vertices of a given S ⊆ V are influenced; subsequently, at each round, the set of influenced vertices is augmented by all the vertices in the network that have a sufficiently large number of already influenced incoming neighbors. The question is to find a small subset of vertices that can influence the whole network (target set). This is a widely studied problem that abstracts many phenomena in the social, economic, biological, and physical sciences. It is known to be hard to approximate within a factor of 2log1-εn, for any ε > 0, and n = |V|. Despite the above negative result, some efficient heuristics have been recently proposed in the literature. In this paper, we present a scalable, fast, and simple algorithm (MTS) for the influence diffusion problem. Experiments conducted over real-world social networks show that the proposed algorithm produces solutions that substantially outperform those obtained by previously published algorithms. Experiments also show that the performances of the analyzed algorithms (measured by the normalized target set size) correlates positively with the strength of communities of a network (measured by the network modularity). Such correlation is even stronger using the results provided by the MTS algorithm, showing that the proposed MTS algorithm better exploits situations in which the community structure of the networks allows some influence between different communities.
Two Squares Canonical Factorization

We present a new combinatorial structure in a string: a canonical factor- ization for any two squares that occur at the same position and satisfy some size restrictions. We believe that this canonical factorization will have application to re- lated problems such as the New Periodicity Lemma, Crochemore-Rytter Three Squares Lemma, and ultimately the maximum-number-of-runs conjecture.
Effect of Preslaughter Events on Prevalence of Campylobacter jejuni and Campylobacter coli in Market-Weight Turkeys

ABSTRACT The effects of events which occur prior to slaughter, such as loading, transport, and holding at an abattoir, on the prevalence of Campylobacter species, including Campylobacter jejuni and Campylobacter coli, were examined. Cloacal swabs from market-weight turkeys in each of five flocks were obtained on a farm prior to loading (time 1; 120 swabs per flock) and after transport and holding at the abattoir (time 2; 120 swabs per flock). A statistically significant increase in the overall prevalence of Campylobacter spp. was observed for cloacal swabs obtained from farm 3 following transport (P < 0.01). At time 2, an increase in the prevalence of C. coli was also noted for cloacal swabs from farms 3, 4, and 5 (P < 0.01). Neither the minimum time off of feed nor the distance transported from the farm to the abattoir was correlated with the increase in C. coli prevalence. Similarly, responses to an on-farm management questionnaire failed to detect any factors contributing to the observed changes in Campylobacter sp. prevalence. A SmaI macrorestriction analysis of Campylobacter sp. isolates recovered from flock 5 indicated that C. coli was more diverse than C. jejuni at both time 1 and time 2 (P < 0.01), based on a comparison of the Shannon indices of diversity and evenness.
Hmga1/Hmga2 double knock-out mice display a “superpygmy” phenotype

ABSTRACT The HMGA1 and HMGA2 genes code for proteins belonging to the High Mobility Group A family. Several genes are negatively or positively regulated by both these proteins, but a number of genes are specifically regulated by only one of them. Indeed, knock-out of the Hmga1 and Hmga2 genes leads to different phenotypes: cardiac hypertrophy and type 2 diabetes in the former case, and a large reduction in body size and amount of fat tissue in the latter case. Therefore, to better elucidate the functions of the Hmga genes, we crossed Hmga1-null mice with mice null for Hmga2. The Hmga1−/−/Hmga2−/− mice showed reduced vitality and a very small size (75% smaller than the wild-type mice); they were even smaller than pygmy Hmga2-null mice. The drastic reduction in E2F1 activity, and consequently in the expression of the E2F-dependent genes involved in cell cycle regulation, likely accounts for some phenotypic features of the Hmga1−/−/Hmga2−/− mice.
RELATIONSHIP BETWEEN CONCENTRATIONS OF HEAVY METALS IN WET PRECIPITATION AND ATMOSPHERIC PM10 PARTICLES IN ZANJAN, IRAN

In this article the heavy metal concentrations in atmospheric wet precipitation and its relationship with the particles (PM 10 ) in the air of the city of Zanjan are reported. Two hundreds samples of rain water and snow were collected with 45 particle samples collected monthly. Heavy metals in wet and dry samples were determined by atomic absorption spectrophotometery. The use of enrichment factors and correlation coefficients allowed us to predict the major sources of these metals. The ranges of concentration of Pb, Zn, Cr and Cd in rain water (µg/L) were 5.8-22.2, 29.26-70, 1.4-4 and 0.25-1.2, respectively. The results showed that the concentrations of Pb, Zn, Cr and Cd in wet precipitation and PM 10 in samples collected in southern parts of the city where the traffic load and industrial activities are very high (zone 4), were 22.2, 70, 1.2 and 4(µg/L) and 840, 16233, 32 and 54.8 (ng/m 3 ), respectively. These values were higher than those measured in the other parts of the city. Most of the calculated enrichment factors higher than 10 were attributed to the traffic and industrial activities. The enrichment factor and correlation coefficient values showed that the heavy metals in the air of Zanjan originate from similar sources. The concentration of particulate matter in 30 air samples of total 45 samples were found to be higher than 50µg/ m 3 . The average concentrations of Pb and Cd in the city center and near the industrial complexes were higher than World Health Organization standards.
Molecular Characterization of Infectious Bursal Disease Virus from Commercial Poultry in the United States and Latin America

SUMMARY. From June 1999 to September 2001, 216 bursal samples from broiler farms in the United States and from countries of Latin America were submitted to the Poultry Diagnostic and Research Center at the University of Georgia for the purpose of genotyping field infectious bursal disease viruses (IBDVs). The reverse transcriptase–polymerase chain reaction (RT-PCR) was used to amplify a 248-bp product, encompassing the hypervariable region of VP2 gene. The genotyping was conducted by restriction fragment length polymorphism (RFLP) analysis with six restriction endonucleases, DraI, SacI, TaqI, Sty, BstNI, and SspI. For the 150 samples received from the United States, 125 samples (83.3%) were RT-PCR positive for the presence of IBDV. One hundred positive samples (80%) had RFLP identical to the variant Delaware E strain, whereas 10 samples (8.0%) exhibited a RFLP pattern similar to this antigenic variant. Other IBDV strains such as Grayson Laboratory strain (GLS), Lukert, PBG-98, Delaware A, and the vaccine strains Sal-1 and D-78 were also detected. Two samples exhibited a pattern similar to the standard challenge (STC) strain, and seven strains (5.6%) were not classified by RFLP. Sixty-six bursal samples previously inactivated with phenol were received from Latin American countries. IBDV strains with analyzed genotypes similar to the Lukert strain were predominantly detected in Mexico. IBDV strains similar to variant E were detected in Colombia and Ecuador. Peru and Venezuela exhibited a higher heterogeneity of IBDV strains due to the detection of classic Delaware type as well as GLS variant strains. IBDV strains detected from Brazil and Dominican Republic exhibited RFLP patterns identical to very virulent IBDV strains prevalent in several countries in Europe, Asia, and Africa.