Miracle-dz/UniFAR-FTUs huggingface dataset:
Meniscectomies in children

Controversy exists over the management of the pediatric pa tient with a suspected tear of the meniscus. Twenty-six patients who underwent uncomplicated meniscectomy during a period of open epiphyseal plates were reviewed by personal followup. The average followup of these 26 patients was 8.3 years. Ligamentous laxity, early degenerative arthritis, and sympto matic knee pain were found; only 42% demonstrated an excel lent or good result. Intensive preoperative evaluation and con servative management of selected meniscal lesions in children are recommended.
LMSS: A Location-Based Multimedia Service System Using Wireless Networks

With the development of pervasive computing, location information remains a crucial component of context-aware. The ability to provide multimedia service according to users' locations would be attractive for intelligent tourism, shopping guide, etc. In this paper, we present a prototype system for location-based multimedia service as a guideline to design such application systems. Based on this prototype system, we implement a location-based multimedia service system called LMSS in real world, which is able to provide individualized multimedia service according to mobile users' locations. We describe the overall system architecture of LMSS and interpret its different components. The performance of our system are evaluated in Wi-Fi wireless environment to show its effectivity. LMSS realizes precise location estimation algorithms which can achieve an accuracy within 1-5 m and supplies mobile users with intelligent video service by utilizing the location information.
Elimination of Deleterious Effects of DMBA-Induced Skin Carcinogenesis in Mice by Syzygium cumini Seed Extract

The inhibition of tumor incidence by hydro-alcoholic extract of S.cumini seed was evaluated in mice on two stage process of skin carcinogenesis induced by single application of 7, 12-dimethyl benz(a)anthracene (100 µg/100µl of acetone), and 2 weeks later promoted by repeated application of croton oil (1% acetone/thrice in a week) till the end of the experiment (i.e. 16 weeks). Oral administration of extract at a dose of 250mg/kg b.wt. /day at the peri-initiational stage (i.e. 7 days before and 7 days after DMBA application), promotional stage (i.e. from the time of croton oil application) and at both the stages (i.e. 7 days prior to DMBA application & continued till the end of experiment) to the mice, recorded a significant reduction in tumor incidence to 37.5, 50 & 25% respectively in comparison to the carcinogen treated control, where tumor incidence was found as 100%. Tumor yield and Tumor burden were also significantly reduced by SCE. Similarly, the cumulative number of papillomas after 16 weeks was 68 in the control group, which was reduced to 15, 21 & 8 in the animals treated with the SCE continuously at peri-, post- and peri- & post- initiation stage respectively. A significant impairment was noticed in the levels of reduced glutathione, superoxide dismutase, catalase & protein and enhancement in LPO in liver and skin of carcinogen treated control mice as compared with vehicle treated mice. All such parameters were returned to near normal value by administration of SCE to DMBA treated mice. These results suggest a possible chemopreventive property of S.cumini against DMBA induced skin carcinogenesis in mice.
Intact Working Memory for Relational Information after Medial Temporal Lobe Damage

Working memory has traditionally been viewed as independent of the hippocampus and related medial temporal lobe structures. Yet memory-impaired patients with medial temporal lobe damage are sometimes impaired at remembering relational information (e.g., an object and its location) across delays as short as a few seconds. This observation has raised the possibility that medial temporal lobe structures are sometimes critical for maintaining relational information, regardless of whether the task depends on working or long-term memory. An alternative possibility is that these structures are critical for maintaining relational information only when the task exceeds working memory capacity and depends instead on long-term memory. To test these ideas, we drew on a method used previously in a classic study of digit span in patient HM that distinguished immediate memory from long-term memory. In two experiments, we assessed the ability of four patients with medial temporal lobe lesions to maintain varying numbers of object–location associations across a 1 s retention interval. In both experiments, the patients exhibited a similar pattern of performance. They performed similarly to controls when only a small number of object–location associations needed to be maintained, and they exhibited an abrupt discontinuity in performance with larger set sizes. This pattern of results supports the idea that maintenance of relational information in working memory is intact after damage to the hippocampus and related medial temporal lobe structures and that damage to these structures impairs performance only when the task depends on long-term memory.
A Program Certification Assistant Based on Fully Automated Theorem Provers

We describe a certification assistant to support formal safety proofs for programs. It is based on a graphical user interface that hides the low-level details of first-order automated theorem provers while supporting limited interactivity: it allows users to customize and control the proof process on a high level, manages the auxiliary artifacts produced during this process, and provides traceability between the proof obligations and the relevant parts of the program. The certification assistant is part of a larger program synthesis system and is intended to support the deployment of automatically generated code in safety-critical applications.
Combating key-swapping collusion attack on random pairwise key pre-distribution schemes for wireless sensor networks

Random pairwise key pre-distribution schemes have been adopted extensively as a preferred approach to tackling the pairwise key agreement problem in wireless sensor networks (WSNs). However, their practical applicability is threatened by the key-swapping collusion attack (KSCA) whose goal is to ruin critical applications that requires collaborative efforts of sensor nodes such as data aggregation mechanisms, routing protocols, distributed voting schemes and misbehaviour detection systems, etc. In this paper, we propose a light-weight framework for thwarting the attack. Our proposed framework makes good use of a winning combination of incremental sensor node deployment and a diversified one-way hash chain. The framework thereby evades undesirable costly requirements of additional functionalities and resources to aggregators and base stations, topological knowledge in advance or costly location-based detection algorithms, yet maintaining network scalability. Moreover, the in-depth analytical and experimental analyses conducted on two node capture attack models show that the framework eradicates the KSCA under one attack while demonstrating most likely immunity under the other attack. Finally, the detailed performance evaluation carried out via simulations indicates the plausibility of the framework for use in the current generation of sensor nodes. Copyright © 2009 John Wiley & Sons, Ltd.
Hot isostatic pressing synthesis and mechanical properties of Al/Al–Cu–Fe composite materials

Metal-matrix composites are produced from Al powder and 30 vol% of icosahedral Al–Cu–Fe quasi-crystalline particles using a hot isostatic pressing technique. It is demonstrated that the initial icosahedral phase is transformed into the ω-Al_70Cu_20Fe_10 tetragonal phase during the hot isostatic pressing (HIP) process. The mechanical properties of the composite were evaluated over the temperature range 293 to 773 K by performing compression tests at constant strain rate. The temperature dependence of the yield stress gives evidence of two temperature regimes with a transition temperature at approximately 423 K. Strain-rate sensitivity measurements support the change in rate-controlling deformation mechanisms at this temperature. It is proposed that cross-slip and/or climb mechanism control plastic flow. Finally, it is suggested that the phase transformation of the particle contributes positively to the improvement of the mechanical properties.
Study of antibacterial effect of nanosilver particle by tapered optical fiber sensor

A single-mode nanoadiabatic tapered optical fiber biosensor was utilized for real-time monitoring of the antimicrobial activity of silver nanoparticles (Ag-NPs) against E. coli. For measuring growth-inhibitory effects, the bacteria were immobilized on the tapered surface. Then, fiber sensor surrounded in glucose growth medium conation different concentration Ag-NP. At the same condition, the growth inhibition of E. coli was measured by colony counting method as a controlling experiment. Interacting Ag-NPs with cells, by anchoring to and penetrating the bacterial cell, the refractive index of the tapered region can be changed that leads to changes in the optical characteristics of the taper.
Gender Differences in the Mu Rhythm of the Human Mirror-Neuron System

BACKGROUND Psychologically, females are usually thought to be superior in interpersonal sensitivity than males. The human mirror-neuron system is considered to provide the basic mechanism for social cognition. However, whether the human mirror-neuron system exhibits gender differences is not yet clear. METHODOLOGY/PRINCIPAL FINDINGS We measured the electroencephalographic mu rhythm, as a reliable indicator of the human mirror-neuron system activity, when female (N = 20) and male (N = 20) participants watched either hand actions or a moving dot. The display of the hand actions included androgynous, male, and female characteristics. The results demonstrate that females displayed significantly stronger mu suppression than males when watching hand actions. Instead, mu suppression was similar across genders when participants observed the moving dot and between the perceived sex differences (same-sex vs. opposite-sex). In addition, the mu suppressions during the observation of hand actions positively correlated with the personal distress subscale of the interpersonal reactivity index and negatively correlated with the systemizing quotient. CONCLUSIONS/SIGNIFICANCE The present findings indirectly lend support to the extreme male brain theory put forward by Baron-Cohen (2005), and may cast some light on the mirror-neuron dysfunction in autism spectrum disorders. The mu rhythm in the human mirror-neuron system can be a potential biomarker of empathic mimicry.
An absolute interval scale of order for point patterns

Human observers readily make judgements about the degree of order in planar arrangements of points (point patterns). Here, based on pairwise ranking of 20 point patterns by degree of order, we have been able to show that judgements of order are highly consistent across individuals and the dimension of order has an interval scale structure spanning roughly 10 just-notable-differences (jnd) between disorder and order. We describe a geometric algorithm that estimates order to an accuracy of half a jnd by quantifying the variability of the size and shape of spaces between points. The algorithm is 70% more accurate than the best available measures. By anchoring the output of the algorithm so that Poisson point processes score on average 0, perfect lattices score 10 and unit steps correspond closely to jnds, we construct an absolute interval scale of order. We demonstrate its utility in biology by using this scale to quantify order during the development of the pattern of bristles on the dorsal thorax of the fruit fly.
Differential expression of two basement membrane collagen genes, COL4A6 and COL4A5, demonstrated by immunofluorescence staining using peptide- specific monoclonal antibodies

Genes for the human alpha 5(IV) and alpha 6(IV) collagen chains have a unique arrangement in that they are colocalized on chromosome Xq22 in a head-to-head fashion and appear to share a common bidirectional promoter. In addition we reported a novel observation that the COL4A6 gene is transcribed from two alternative promoters in a tissue-specific manner (Sugimoto, M., T. Oohashi, and Y. Ninomiya. 1994. Proc. Natl. Acad. Sci. USA. 91:11679-11683). To know whether the translation products of both genes are colocalized in various tissues, we raised alpha 5(IV) and alpha 6(IV) chain-specific rat monoclonal antibodies against synthetic peptides reflecting sequences near the carboxy terminus of each noncollagenous (NC)1 domain. By Western blotting alpha 6(IV) chain-specific antibody recognized 27-kD monomers and associated dimers of the human type IV collagen NC1 domain, which is the first demonstration of the presence in tissues of the alpha 6(IV) polypeptide as predicted from its cDNA sequence. Immunofluorescence studies using anti-alpha 6(IV) antibody demonstrated that in human adult kidney the alpha 6(IV) chain was never detected in the glomerular basement membrane, whereas the basement membranes of the Bowman's capsules and distal tubules were positive. The staining pattern of the glomerular basement membrane was quite different from that obtained with the anti- alpha 5(IV) peptide antibody. The alpha 5(IV) and alpha 6(IV) chains were colocalized in the basement membrane in the skin, smooth muscle cells, and adipocytes; however, little if any reaction was seen in basement membranes of cardiac muscles and hepatic sinusoidal endothelial cells. Thus, both genes are expressed in a tissue-specific manner, perhaps due to the unique function of the bidirectional promoter for both genes, which is presumably different from that for COL4A1 and COL4A2.
Low Temperature Atomic Layer Deposition of Tin Oxide

Atomic layer deposition (ALD) of tin oxide (SnOx) films was achieved using a newly synthesized tin precursor and hydrogen peroxide. We obtained highly pure, conductive SnOx films at temperatures as low as 50 °C, which was possible because of high chemical reactivity between the new Sn precursor and hydrogen peroxide. The growth per cycle is around 0.18 nm/cycle in the ALD window up to 150 °C, and decreased at higher temperatures. Self-limited growth was demonstrated for both the Sn and O precursors. Thickness is linear in the number of cycles, with an induction period of not more than a few cycles. Rutherford backscattering spectroscopy (RBS) and X-ray photoelectron spectroscopy (XPS) measurements showed that the composition ratio of O/Sn is ∼2 and that the films do not contain any detectable carbon or nitrogen impurities. X-ray and electron diffraction analyses identified crystallites of SnO2 with the rutile structure and average grain size 5−10 nm. The density of the films is 83% of the bulk rutile phas.
Paper strength development and recyclability with polyamideamine-epichlorohydrin (PAE)

The tensile strength behavior and recyclability of the paper prepared with the addition of polyamideamine-epichlorohydrin (PAE) were investigated. The dry and wet tensile strengths obtained with different PAE dosage were measured. The highest wet-to-dry strength ratio of 35% was obtained at 10 mg/g; above this addition level wet strength dropped slightly and then remained constant. The repulpability of strengthened paper was correlated directly with wet strength. The effect of electrolyte on tensile strength was also quantified by varying sodium chloride and calcium chloride concentration in the furnish stock. Without PAE, high salt concentrations (100 mM) reduced the tensile strength by 15-20%. At constant PAE addition level of 10 mg/g, low levels of salt addition (of either 10 mM NaCl or 10 mM CaCl2) slightly improved the strength; paper strength decreased at high salts concentrations. The cation valency and concentration in the process water were important variables which affected the efficiency of PAE. These results present the significance of developing sustainable wet strength agents that can be applied in demanding salty conditions while maintaining the product recyclability.
N ov 2 00 1 Self-Adjunctions and Matrices

It is shown that the multiplicative monoids of Temperley-Lieb algebras are isomorphic to monoids of endomorphisms in categories where an endofunctor is adjoint to itself. Such a self-adjunction is found in a category whose arrows are matrices, and the functor adjoint to itself is based on the Kronecker product of matrices. Thereby one obtains a representation of braid groups in matrices, which, though different and presumably new, is related to the standard representation of braid groups in Temperley-Lieb algebras. Mathematics Subject Classification (2000): 57M99, 20F36, 18A40
Abdominal compartment syndrome

As per definition Abdominal Compartment Syndrome (ACS) is the sudden increase in the Intra-Abdominal pressure resulting in alteration in the respiratory mechanism, hemodynamic parameters, and renal as well as cerebral perfusion. ACS has tremendous relevance in the practice of surgery and the care of critically ill patients, because of its effects on multiple organ systems. Typically the patients of this syndrome are critically ill and require ventilator support.
Effects of Lithium and Valproic Acid on Gene Expression and Phenotypic Markers in an NT2 Neurosphere Model of Neural Development

Mood stabilising drugs such as lithium (LiCl) and valproic acid (VPA) are the first line agents for treating conditions such as Bipolar disorder and Epilepsy. However, these drugs have potential developmental effects that are not fully understood. This study explores the use of a simple human neurosphere-based in vitro model to characterise the pharmacological and toxicological effects of LiCl and VPA using gene expression changes linked to phenotypic alterations in cells. Treatment with VPA and LiCl resulted in the differential expression of 331 and 164 genes respectively. In the subset of VPA targeted genes, 114 were downregulated whilst 217 genes were upregulated. In the subset of LiCl targeted genes, 73 were downregulated and 91 were upregulated. Gene ontology (GO) term enrichment analysis was used to highlight the most relevant GO terms associated with a given gene list following toxin exposure. In addition, in order to phenotypically anchor the gene expression data, changes in the heterogeneity of cell subtype populations and cell cycle phase were monitored using flow cytometry. Whilst LiCl exposure did not significantly alter the proportion of cells expressing markers for stem cells/undifferentiated cells (Oct4, SSEA4), neurons (Neurofilament M), astrocytes (GFAP) or cell cycle phase, the drug caused a 1.4-fold increase in total cell number. In contrast, exposure to VPA resulted in significant upregulation of Oct4, SSEA, Neurofilament M and GFAP with significant decreases in both G2/M phase cells and cell number. This neurosphere model might provide the basis of a human-based cellular approach for the regulatory exploration of developmental impact of potential toxic chemicals.
Mutual information and the fidelity of response of gene regulatory models

We investigate cellular response to extracellular signals by using information theory techniques motivated by recent experiments. We present results for the steady state of the following gene regulatory models found in both prokaryotic and eukaryotic cells: a linear transcription-translation model and a positive or negative auto-regulatory model. We calculate both the information capacity and the mutual information exactly for simple models and approximately for the full model. We find that (1) small changes in mutual information can lead to potentially important changes in cellular response and (2) there are diminishing returns in the fidelity of response as the mutual information increases. We calculate the information capacity using Gillespie simulations of a model for the TNF-α-NF-κ B network and find good agreement with the measured value for an experimental realization of this network. Our results provide a quantitative understanding of the differences in cellular response when comparing experimentally measured mutual information values of different gene regulatory models. Our calculations demonstrate that Gillespie simulations can be used to compute the mutual information of more complex gene regulatory models, providing a potentially useful tool in synthetic biology.
Thesis Proposal: Scalable, Active and Flexible Learning on Distributions

A wide range of machine learning problems, including astronomical inference about galaxy clusters, natural image scene classification, parametric statistical inference , and predictions of public opinion, can be well-modeled as learning a function on (samples from) distributions. This thesis explores problems in learning such functions via kernel methods. The first challenge is one of computational efficiency when learning from large numbers of distributions: the computation of typical methods scales between quadrat-ically and cubically, and so they are not amenable to large datasets. We investigate the approach of approximate embeddings into Euclidean spaces such that inner products in the embedding space approximate kernel values between the source distributions. We present a new embedding for a class of information-theoretic distribution distances , and evaluate it and existing embeddings on several real-world applications. We also propose the integration of these techniques with deep learning models so as to allow the simultaneous extraction of rich representations for inputs with the use of expressive distributional classifiers. In a related problem setting, common to astrophysical observations, autonomous sensing, and electoral polling, we have the following challenge: when observing samples is expensive, but we can choose where we would like to do so, how do we pick where to observe? We propose the development of a method to do so in the distributional learning setting (which has a natural application to astrophysics), as well as giving a method for a closely related problem where we search for instances of patterns by making point observations. Our final challenge is that the choice of kernel is important for getting good practical performance, but how to choose a good kernel for a given problem is not obvious. We propose to adapt recent kernel learning techniques to the distributional setting, allowing the automatic selection of good kernels for the task at hand. Integration with deep networks, as previously mentioned, may also allow for learning the distributional distance itself. Throughout, we combine theoretical results with extensive empirical evaluations to increase our understanding of the methods.