Miracle-dz/UniFAR-FTUs huggingface dataset:
A role for surface topography in creating and maintaining bone at titanium endosseous implants.

STATEMENT OF PROBLEM A variety of claims are made regarding the effects of surface topography on implant osseointegration. Many in vivo and in vitro experimental observations have key limitations in their interpretations. PURPOSE This review considers the major claims made concerning the effects of commercially pure (cp) titanium implant surface topography on osseointegration. Important findings of consensus are highlighted, and existing controversies are revealed. MATERIAL AND METHODS This review considers many of the research publications listed in MEDLINE and presented in biomedical research publications and textbooks. RESULTS Implant surface topography is not well defined in the marketplace or consistently reported among experimental studies. Many in vitro evaluations are not predictive of or correlated with in vivo outcomes. In some culture models, increased surface topography positively affects pro-osteogenic cellular activities. Animal models reveal modest increases in bone-to-implant contact and increases in the biomechanical interlock of the implant with bone for implants of increased surface topography. Existing information fails to define increased surface topography as a risk factor for peri-implant inflammation. CONCLUSION Increased cp titanium implant surface topography improves the bone-to-implant contact and the mechanical properties of the enhanced interface. Growing clinical evidence for increased bone-to-implant contact at altered cp titanium implants confirms the temporally limited observations made in preclinical studies. In the absence of controlled comparative clinical trials, the aggregate experimental evidence supports the use of cp titanium implants with increased surface topography.
Microglia at brain stab wounds express connexin 43 and in vitro form functional gap junctions after treatment with interferon-γ and tumor necrosis factor-α

Gap junctional communication between microglia was investigated at rat brain stab wounds and in primary cultures of rat and mouse cells. Under resting conditions, rat microglia (FITC-isolectin-B4-reactive cells) were sparsely distributed in the neocortex, and most (95%) were not immunoreactive for Cx43, a gap junction protein subunit. At brain stab wounds, microglia progressively accumulated over several days and formed aggregates that frequently showed Cx43 immunoreactivity at interfaces between cells. In primary culture, microglia showed low levels of Cx43 determined by Western blotting, diffuse intracellular Cx43 immunoreactivity, and a low incidence of dye coupling. Treatment with the immunostimulant bacterial lipopolysaccharide (LPS) or the cytokines interferon-γ (INF-γ) or tumor necrosis factor-α (TNF-α) one at a time did not increase the incidence of dye coupling. However, microglia treated with INF-γ plus LPS showed a dramatic increase in dye coupling that was prevented by coapplication of an anti-TNF-α antibody, suggesting the release and autocrine action of TNF-α. Treatment with INF-γ plus TNF-α also greatly increased the incidence of dye coupling and the Cx43 levels with translocation of Cx43 to cell–cell contacts. The cytokine-induced dye coupling was reversibly inhibited by 18α-glycyrrhetinic acid, a gap junction blocker. Cultured mouse microglia also expressed Cx43 and developed dye coupling upon treatment with cytokines, but microglia from homozygous Cx43-deficient mice did not develop significant dye coupling after treatment with either INF-γ plus LPS or INF-γ plus TNF-α. This report demonstrates that microglia can communicate with each other through gap junctions that are induced by inflammatory cytokines, a process that may be important in the elaboration of the inflammatory response.
Networking metabolites and diseases

Biological systems are increasingly viewed and analyzed as highly complex networks of interlinked macromolecules and metabolites. Network analysis has been applied to interactome maps of protein–protein, protein–DNA, and protein–RNA interactions as well as transcriptional, metabolic, and genetic data. Such network views of biological systems should facilitate the detection of nonlinear long-range effects of perturbations, for example, by mutations, and help identification of unanticipated indirect causal connections.
A Recombinant Vaccine of H5N1 HA1 Fused with Foldon and Human IgG Fc Induced Complete Cross-Clade Protection against Divergent H5N1 Viruses

Development of effective vaccines to prevent influenza, particularly highly pathogenic avian influenza (HPAI) caused by influenza A virus (IAV) subtype H5N1, is a challenging goal. In this study, we designed and constructed two recombinant influenza vaccine candidates by fusing hemagglutinin 1 (HA1) fragment of A/Anhui/1/2005(H5N1) to either Fc of human IgG (HA1-Fc) or foldon plus Fc (HA1-Fdc), and evaluated their immune responses and cross-protection against divergent strains of H5N1 virus. Results showed that these two recombinant vaccines induced strong immune responses in the vaccinated mice, which specifically reacted with HA1 proteins and an inactivated heterologous H5N1 virus. Both proteins were able to cross-neutralize infections by one homologous strain (clade 2.3) and four heterologous strains belonging to clades 0, 1, and 2.2 of H5N1 pseudoviruses as well as three heterologous strains (clades 0, 1, and 2.3.4) of H5N1 live virus. Importantly, immunization with these two vaccine candidates, especially HA1-Fdc, provided complete cross-clade protection against high-dose lethal challenge of different strains of H5N1 virus covering clade 0, 1, and 2.3. 4 in the tested mouse model. This study suggests that the recombinant fusion proteins, particularly HA1-Fdc, could be developed into an efficacious universal H5N1 influenza vaccine, providing cross-protection against infections by divergent strains of highly pathogenic H5N1 virus.
Transcatheter uterine artery embolisation to treat large uterine fibroids

Bilateral uterine artery embolisation was performed to treat eight women with symptomatic large fibroids requiring treatment. Uterine volume was quantitatively assessed by magnetic resonance imaging. Both uterine arteries were occluded effectively in all women, and the procedure was well tolerated, with a 24–36 hour admission for pain relief. The level of pain experienced was variable, but well controlled. Some women experienced intermittent vaginal discharge and pain following the procedure. Improvement of symptoms occurred in six of the seven women and the eighth woman conceived. There were no significant complications. At three months four women had a uterine volume of < 350 cm 3 . Embolisation appears to be a good alternative to surgery, but longer follow up is required to evaluate the long term effects and to determine those patients for whom the procedure is suitable.
The BB‐isoenzyme is a major component of creatine kinase in skin blister fluid

We measured levels of creatine kinase and its three isoenzymes in serum and blister fluid from 16 healthy volunteers. The BB‐isoenzyme was found to be the predominant form in blister fluid white only the MM isoenzyme was found in serum. The levels of BB‐isoenzyme in blister fluid decreased as the blisters aged. The source of BB‐isoenzyme in blister fluid is most probably the damaged epidermis.
Development of Executive Control and Language Processing

Research in executive function development has shown that children have poor control of inhibition functions, including the inhibition of prepotent responses, control of attention, and flexibility at rule-shifting. To date, links between the development of executive function and children's language development have not been investigated explicitly. Yet, recent studies on children's sentence processing report that children tend to perseverate during sentence processing. We argue that such perseveration may be due to immature executive function.
A Comparative Study of Ensemble Learning Approaches in the Classification of Breast Cancer Metastasis

The combined use of gene expression profiles and protein-protein interaction (PPI) networks has recently shed light on breast cancer research by selecting a small number of subnetworks as disease markers and then using them for the classification of metastasis. Based on previously identified subnetwork markers, we compare three ensemble learning approaches (AdaBoost, LogitBoost and random forest) with two widely used classifiers (logistic regression and support vector machine) in the classification of breast cancer metastasis. In leave-one-out cross-validation experiments on two breast cancer data sets, the ensemble learning methods can lead logis-tic regression and support vector machine by 22.4% and 4.8% respectively in terms of the classification accuracy. In cross data set validation experiments, the ensemble learning methods also demonstrate superior reproducibility over the other two methods. With these results, we infer that the ensemble learn-ing approaches with subnetwork markers might be more suit-able in handling the classification problem of breast cancer metastasis, and we recommend the use of these approaches in similar classification problems.
Intermediate stages of a transformation between a quasicrystal and an approximant including nanodomain structures in the Al-Ni-Co system

Transition states between decagonal quasicrystal and periodic approximants are studied in the Al-Ni-Co system at a measured composition of Al71.3Ni11. 3Co 17.4 by high-resolution transmission electron microscopy and electron diffraction. The nanodomain structures appearing after annealing at 1270 K show periodic fluctuations coherently embedded in domains with the coarse order of a one-dimensional quasicrystal. Further annealing at lower temperatures changes the features of nanodomain structures and results in an increase in more periodic structures. These can be strongly disordered and full of defects but tiling analysis and electron diffraction patterns show that they correspond to locked phason strain values of two closely related periodic approximants. We conclude that the periodic approximants do not result from a continuous increase in phason strain but from the growth of seeds with a locked phason strain.
Perceived Health Status of Women with Overt and Subclinical Hypothyroidism

Objective: The objective of this study was to investigate the health status of women with overt and subclinical hypothyroidism and relate it to the presence of clinical signs and symptoms of the disease. Subjects and Methods: A cross-sectional study was conducted on 232 women divided into 3 groups: overt hypothyroidism (n = 14); subclinical hypothyroidism (n = 152), and controls (n = 66). Health status was evaluated by the questionnaire SF-36, and the clinical signs and symptoms of hypothyroidism were assessed with the Billewicz scale modified by Zulewski. The Kruskal-Wallis test followed by the Mann-Whitney U test with Bonferroni correction was applied to compare continuous variables between the groups. To assess the relationship between SF-36 domains and the clinical score, as well as SF-36 domains and serum thyroid-stimulating hormone levels, the Spearman correlation coefficient was calculated. Results: Patients with overt hypothyroidism presented systematically lower scores in all SF-36 domains (p < 0.05), both in relation to subclinical hypothyroidism patients and controls. This indicates a great dissatisfaction with health status in this group. Patients with subclinical hypothyroidism presented statistically lower scores in relation to controls with the exception of the role-emotional and bodily pain domains, where although they were not statistically significant, scores were clinically different. Highly negative correlations between SF-36 domains and the clinical score were observed in overt hypothyroidism (physical function r = –0.80, p < 0.01; bodily pain r = –0.74, p < 0.01). Conclusion: Overt hypothyroidism seemed to be associated with worse perception of health status, negatively associated with clinical score.
On rational definite summation

We present a partial proof of van Hoeij-Abramov conjecture about the algorithmic possibility of computation of finite sums of rational functions. The theoretical results proved in this paper provide an algorithm for computation of a large class of sums $ S(n) = \sum_{k=0}^{n-1}R(k,n)$.
An extension to DNA based Fredkin gate circuits: design of reversible sequential circuits using Fredkin gates

In recent years, reversible logic has emerged as a promising computing paradigm having its applications in low power computing, quantum computing, nanotechnology, optical computing and DNA computing. The classical set of gates such as AND, OR, and EXOR are not reversible. Recently, it has been shown how to encode information in DNA and use DNA amplification to implement Fredkin gates. Furthermore, in the past Fredkin gates have been constructed using DNA, whose outputs are used as inputs for other Fredkin gates. Thus, it can be concluded that arbitrary circuits of Fredkin gates can be constructed using DNA. This paper provides the initial threshold to building of more complex system having reversible sequential circuits and which can execute more complicated operations. The novelty of the paper is the reversible designs of sequential circuits using Fredkin gate. Since, Fredkin gate has already been realized using DNA, it is expected that this work will initiate the building of complex systems using DNA. The reversible circuits designed here are highly optimized in terms of number of gates and garbage outputs. The modularization approach that is synthesizing small circuits and thereafter using them to construct bigger circuits is used for designing the optimal reversible sequential circuits.
Neuroinformatics and modeling of the basal ganglia: bridging pharmacology and physiology

The subthalamic nucleus (STN) is the primary target for the chronic deep brain stimulation treatment of Parkinson’s disease. STN neurons exhibit a variety of characteristic properties that may play a key role in the overall population response to deep brain stimulation. Neuroinformatics techniques, in particular computational modeling, provide a method of bringing together pharmacological phenomena, such as the loss of dopamine, with electrophysiological characteristics. Developing accurate models of STN neurons plays an important part in the process of uncovering the link between the changes in STN pharmacology, physiology and synaptic input that occurs with Parkinson’s disease and the effectiveness of treatments targeting the STN. We review a general procedure for developing computational models and present a model of STN neurons that reveals important membrane channel interactions. In particular, changes in these channel interactions under parkinsonian conditions may underlie changes in characteristic physiology, critical in determining the mechanisms of deep brain stimulation.
Genetically enhancing mitochondrial antioxidant activity improves muscle function in aging

Significance Age-related muscle weakness has major adverse consequences on quality of life, increasing the risk of falls, fractures, and movement impairments. Albeit an increased oxidative state has been shown to contribute to age-dependent reduction in skeletal muscle function, little is known about the mechanisms connecting oxidation and muscle weakness. We show here that genetically enhancing mitochondrial antioxidant activity causes improved skeletal muscle function and voluntary exercise in aged mice. Our findings have broad implications for both the aging and muscle physiology fields, as we present an important molecular mechanism for muscle weakness in aging and skeletal muscle force regulation. Age-related skeletal muscle dysfunction is a leading cause of morbidity that affects up to half the population aged 80 or greater. Here we tested the effects of increased mitochondrial antioxidant activity on age-dependent skeletal muscle dysfunction using transgenic mice with targeted overexpression of the human catalase gene to mitochondria (MCat mice). Aged MCat mice exhibited improved voluntary exercise, increased skeletal muscle specific force and tetanic Ca2+ transients, decreased intracellular Ca2+ leak and increased sarcoplasmic reticulum (SR) Ca2+ load compared with age-matched wild type (WT) littermates. Furthermore, ryanodine receptor 1 (the sarcoplasmic reticulum Ca2+ release channel required for skeletal muscle contraction; RyR1) from aged MCat mice was less oxidized, depleted of the channel stabilizing subunit, calstabin1, and displayed increased single channel open probability (Po). Overall, these data indicate a direct role for mitochondrial free radicals in promoting the pathological intracellular Ca2+ leak that underlies age-dependent loss of skeletal muscle function. This study harbors implications for the development of novel therapeutic strategies, including mitochondria-targeted antioxidants for treatment of mitochondrial myopathies and other healthspan-limiting disorders.
Adult-onset Chronic Recurrent Multifocal Osteomyelitis with High Intensity of Muscles Detected by Magnetic Resonance Imaging, Successfully Controlled with Tocilizumab

Chronic recurrent multifocal osteomyelitis (CRMO) is an autoinflammatory bone disorder that generally occurs in children and predominantly affects the long bones with marginal sclerosis. We herein report two cases of adult-onset CRMO involving the tibial diaphysis bilaterally, accompanied by polyarthritis. Magnetic resonance imaging (MRI) showed both tibial osteomyelitis and high intensity of the extensive lower leg muscles. Anti-interleukin-6 therapy with tocilizumab (TCZ) effectively controlled symptoms and inflammatory markers in both patients. High intensity of the lower leg muscles detected by MRI also improved. These cases demonstrate that CRMO should be included in the differential diagnosis of adult patients with bone pain, inflammation, and high intensity of the muscles detected by MRI. TCZ may therefore be an effective therapy for muscle inflammation of CRMO.
CD44v6 expression in patients with stage II or stage III sporadic colorectal cancer is superior to CD44 expression for predicting progression.

BACKGROUND Currently, it is difficult to predict the prognosis of patients exhibiting stage II or stage III colorectal cancer (CRC) and to identify those patients most likely to benefit from aggressive treatment. The current study was performed to examine the clinicopathological significance of CD44 and CD44v6 protein expression in these patients. STUDY DESIGN We retrospectively investigated 187 consecutive patients who underwent surgery with curative intent for stage II to III CRC from 2007 to 2013 in the Beijing Civil Aviation Hospital. CD44 and CD44v6 protein expression levels were determined using immunohistochemistry and compared to the clinicopathological data. RESULTS Using immunohistochemical detection, CD44 expression was observed in 108 (57.75%) of the CRC patients; and its detection was significantly associated with greater invasion depth, lymph node metastasis, angiolymphatic invasion, and a more advanced pathological tumor-lymph node-metastasis (TNM) stage. CD44v6 expression was observed in 135 (72.19%) of the CRC patients; and its expression was significantly associated with a poorly differentiated histology, greater invasion depth, lymph node metastasis, angiolymphatic invasion, and a more advanced pathological TNM stage. Expression of CD44v6 was higher than that of CD44 in stage II and stage III sporadic CRC. CONCLUSION CD44v6 is a more useful marker for predicting a poor prognosis in stage II and stage III sporadic CRC as compared to CD44.
Three New Probabilistic Models for Dependency Parsing: An Exploration

After presenting a novel O(n3) parsing algorithm for dependency grammar, we develop three contrasting ways to stochasticize it. We propose (a) a lexical affinity model where words struggle to modify each other, (b) a sense tagging model where words fluctuate randomly in their selectional preferences, and (c) a generative model where the speaker fleshes out each word's syntactic and conceptual structure without regard to the implications for the hearer. We also give preliminary empirical results from evaluating the three models' parsing performance on annotated Wall Street Journal training text (derived from the Penn Treebank). In these results, the generative model performs significantly better than the others, and does about equally well at assigning part-of-speech tags.
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Robotic Exoskeletons: A Perspective for the Rehabilitation of Arm Coordination in Stroke Patients

Upper-limb impairment after stroke is caused by weakness, loss of individual joint control, spasticity, and abnormal synergies. Upper-limb movement frequently involves abnormal, stereotyped, and fixed synergies, likely related to the increased use of sub-cortical networks following the stroke. The flexible coordination of the shoulder and elbow joints is also disrupted. New methods for motor learning, based on the stimulation of activity-dependent neural plasticity have been developed. These include robots that can adaptively assist active movements and generate many movement repetitions. However, most of these robots only control the movement of the hand in space. The aim of the present text is to analyze the potential of robotic exoskeletons to specifically rehabilitate joint motion and particularly inter-joint coordination. First, a review of studies on upper-limb coordination in stroke patients is presented and the potential for recovery of coordination is examined. Second, issues relating to the mechanical design of exoskeletons and the transmission of constraints between the robotic and human limbs are discussed. The third section considers the development of different methods to control exoskeletons: existing rehabilitation devices and approaches to the control and rehabilitation of joint coordinations are then reviewed, along with preliminary clinical results available. Finally, perspectives and future strategies for the design of control mechanisms for rehabilitation exoskeletons are discussed.
Generalized Mean-payoff and Energy Games

In mean-payoff games, the objective of the protagonist is to ensure that the limit average of an infinite sequence of numeric weights is nonnegative. In energy games, the objective is to ensure that the running sum of weights is always nonnegative. Generalized mean-payoff and energy games replace individual weights by tuples, and the limit average (resp. running sum) of each coordinate must be (resp. remain) nonnegative. These games have applications in the synthesis of resource-bounded processes with multiple resources. We prove the finite-memory determinacy of generalized energy games and show the inter-reducibility of generalized mean-payoff and energy games for finite-memory strategies. We also improve the computational complexity for solving both classes of games with finite-memory strategies: while the previously best known upper bound was EXPSPACE, and no lower bound was known, we give an optimal coNP-complete bound. For memoryless strategies, we show that the problem of deciding the existence of a winning strategy for the protagonist is NP-complete.