Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors of a fall event in hospitalized patients with cancer.

PURPOSE/OBJECTIVES To determine predictors of fall events in hospitalized patients with cancer and develop a scoring system to predict fall events. DESIGN Retrospective medical record review. SETTING A 1,200-bed tertiary care hospital in northeastern Ohio. SAMPLE 145 patients with cancer who did not have a fall event were randomly selected from all oncology admissions from February 2006-January 2007 and compared to 143 hospitalized patients with cancer who had a fall event during the same period. METHODS Multivariable logistic regression models predicting falls were fit. Risk score analysis was completed using bootstrap samples to evaluate discrimination between patients who did or did not fall and agreement between predicted and actual fall status. A nomogram of risk scores was created. MAIN RESEARCH VARIABLES Fall episodes during hospitalization and patient characteristics that predict falls. FINDINGS While patients were hospitalized for cancer care, their predictors of a fall episode were low pain level, abnormal gait, cancer type, presence of metastasis, antidepressant and antipsychotic medication use, and blood product use (all p < 0.02); risk model c-statistic was 0.89. CONCLUSIONS For hospitalized patients with cancer, predictors reflecting greater fall episode risk can be assessed easily by nursing staff and acted on when the risk is sufficiently high. IMPLICATIONS FOR NURSING Understanding specific risk factors of falls in an adult oncology population may lead to interventions that reduce fall risk.
Evaluation of deviation detection and isolation in task execution

Robot Programming by Demonstration (PbD) allows the use of a general purpose robot without specific programming skills. The most approaches in this field use Machine Learning methods to learn a robot behavior or skill. Besides, there are a few One-Shot PbD-approaches, which reduce the programming effort to a single demonstration and therefore allow a non-expert the quick and intuitive programming of a robot. However, a common drawback of One-Shot approaches is their decreased robustness during the program execution compared to Multi-Shot approaches. This leads to our main motivation: Making One-Shot PbD programs more robust. An important aspect of robustness is the ability to detect and handle unexpected events, e.g. a dropped object or a storage place, which should be free, but is already occupied. We call such events deviations. In our previous work we proposed an approach that provides the detection and isolation of deviations by a monitoring concept using entity-based resources. The advantages of this approach include a unified detection and complete classification principle. In this paper we evaluate our concept in a user study and give several insights to learned lessons to improve usability and comparability of our approach.
Tetracycline antibiotics impair mitochondrial function and its experimental use confounds research.

Tetracyclines, a class of antibiotics that target bacterial translation, are commonly used in research for inducible gene expression using Tet-ON/Tet-OFF systems. However, such tetracycline-inducible systems carry a risk. Given that mitochondria have a "bacterial" ancestry, these antibiotics also target mitochondrial translation and impair mitochondrial function. Indeed, treatment with doxycycline-a tetracycline derivative-disturbs mitochondrial proteostasis and metabolic activity, and induces widespread gene-expression changes. Together, this affects physiology in well-established model systems ranging from cultured cells to simple organisms and to mice and plants. These changes are observed with doxycycline doses that are widely used to regulate gene expression. In light of these findings, and bearing in mind the conserved role of mitochondria in metabolism and whole organism homeostasis, we caution against the use of tetracyclines in experimental approaches. The use of newly developed tetracycline-based systems that are more sensitive could be an alternative; however, even if no overt mitochondrial toxicity is detected, widespread changes in gene expression may sensitize cells to the intended tetracycline-controlled loss or gain of function, thereby introducing a "two-hit model. " This is highly relevant for cancer research, as mitochondrial metabolism holds a central position in the reallocation of nutrients for biomass production known as the Warburg effect.
Tooth Size in Patients with Mild, Moderate and Severe Hypodontia and a Control Group

Objectives: To compare tooth size between subjects with mild, moderate and severe hypodontia and a control group. Material and Methods: The study comprised 120 patients with hypodontia divided into three groups of 40 mild (≤2 teeth congenitally missing), 40 moderate (3-5 teeth congenitally missing) and 40 severe (≥6 teeth congenitally missing) hypodontia; and 40 age and sex matched controls. Tooth size was recorded by measuring the mesiodistal and buccolingual dimensions of all fully erupted teeth on study models using digital callipers and compared between all hypodontia and control groups using Two-way ANOVA and Post Hoc Tests of subgroup comparison. Results: Two-way ANOVA revealed patients with hypodontia had significantly smaller mesiodistal and buccolingual tooth dimensions compared with controls (p<0.05). Furthermore patients with more severe hypodontia demonstrated significantly smaller tooth dimensions than those in the mild and moderate hypodontia subgroups (p<0.05). The most affected tooth in terms of tooth size reduction was the maxillary lateral incisor and the least affected tooth was the mandibular first molar. Conclusion: Patients with hypodontia have smaller tooth dimensions than control. Tooth size appears to be affected by the degree of hypodontia, with severe hypodontia having a greater effect on tooth size reduction. The findings of this study may contribute to understanding the aetiology of hypodontia and aid the multidisciplinary management of this complex condition.
Learning deep-sea substrate types with visual topic models

We propose and evaluate a method for learning deep-sea substrate types using video recorded with a remotely operated vehicle (ROV). The goal of this work is to create a labelled spatial map of substrate types from ROV video in order to support biological and geological domain research. The output of our method describes the mixtures of geological features such as sediment and types of lava flow in images taken at a set of points chosen from an ROV dive. The main contribution of this work is the assembly of a pipeline combining several unique approaches which is able to robustly generate substrate type mixtures under the varying lighting and perspective conditions of deep-sea ROV dive videos. The pipeline comprises three main components: sampling, in which a trained classifier and spatial sampling is used to select relevant frames from the dataset; feature extraction, in which the improved local binary pattern descriptor (ILBP) is used to generate a Bag of Words (BoW) representation of the dataset; and topic modelling in which a variant of Latent Dirichlet Allocation (LDA), is used to infer the mixture of substrate types represented by each BoW. Our method significantly outperforms techniques relying on keypoint based features rather than texture based features, and k-means rather than LDA, demonstrating that our proposed pipeline accurately learns and identifies visible substrate types.
Semantic Annotation and Inference for Medical Knowledge Discovery

We describe our vision for a new generation medi- cal knowledge annotation and acquisition system called SENTIENT-MD ("Semantic Annotation and Inference for Medical Knowledge Discovery"). Key aspects of our vision include deep Natural Language Processing techniques to abstract the text into a more semantically meaningful rep- resentation guided by domain ontology. In particular, we introduce a notion of semantic fitness to model an optimal level of abstract representation for a text fragment given a domain ontology. We apply this notion to appropriately condense and merge nodes in semantically annotated syn- tactic parse trees. These transformed semantically anno- tated trees are more amenable to analysis and inference for abstract knowledge discovery, such as for automatically in- ferring general medical rules for enhancing an expert sys- tem for nuclear cardiology. This work is a part of a long term research effort on continuously mining medical litera- ture for automatic clinical decision support.
Accelerating String Matching Using Multi-Threaded Algorithm on GPU

Network Intrusion Detection System has been widely used to protect computer systems from network attacks. Due to the ever-increasing number of attacks and network complexity, traditional software approaches on uni-processors have become inadequate for the current high-speed network. In this paper, we propose a novel parallel algorithm to speedup string matching performed on GPUs. We also innovate new state machine for string matching, the state machine of which is more suitable to be performed on GPU. We have also described several speedup techniques considering special architecture properties of GPU. The experimental results demonstrate the new algorithm on GPUs achieves up to 4,000 times speedup compared to the AC algorithm on CPU. Compared to other GPU approaches, the new algorithm achieves 3 times faster with significant improvement on memory efficiency. Furthermore, because the new Algorithm reduces the complexity of the Aho-Corasick algorithm, the new algorithm also improves on memory requirements.
Maximum Likelihood Markov Hypertrees

One popular class of such models are Markov networks, which use an undirected graph to represent dependencies among variables. Markov networks of low tree-width (i.e. having a triangulation with small cliques ) allow efficient computations, and are useful as learned probability models [8]. A well studied case is that in which the dependency structure is known in advance. In this case the underlying graph is built based on prior knowledge, and a maximum likelihood Markov network over this specific graph is sought [5].
Genome-wide binding profiles of the Bacillus subtilis transition state regulator AbrB and its homolog Abh reveals their interactive role in transcriptional regulation

AbrB is a global transcriptional regulator of Bacillus subtilis that represses the expression of many genes during exponential growth. Here, we demonstrate that AbrB and its homolog Abh bind to hundreds of sites throughout the entire B. subtilis genome during exponential growth. Comparison of regional binding of AbrB and Abh in wild-type, ΔabrB and Δabh backgrounds revealed that they bind as homomer and/or heteromer forms with different specificities and affinities. We found four AbrB and Abh binding patterns were major. Three of these contain pairs of TGGNA motifs connected by A/T-rich sequences, differing in arrangement and spacing. We also assessed the direct involvement of these complexes in the control of gene expression. Our data indicate that AbrB usually acts as a repressor, and that the ability of Abh to act as a transcriptional regulator was limited. We found that changes to AbrB/Abh levels affect their binding at several promoters and consequently transcriptional regulation. Surprisingly, most AbrB/Abh binding events had no impact on transcription, suggesting an interesting possibility that AbrB/Abh binding is analogous to nucleoid-associated protein binding in Escherichia coli.
Clinical parameters and outcomes of Pneumocystis jiroveci pneumonia in non-HIV/AIDS patients.

Pneumocystis jiroveci 肺病(PCP ) 是在 immonosuppressed 病人遇到的最严重、潜在地致命的感染之一。 它在感染人的免疫不全病毒(HIV ) 的病人仍然是肺的病态和死亡的最普通的原因。 PCP 也严重地发生在其它免疫损害了收到抑制免疫力的治疗的病人(癌症， hematologicalmalignancies 或机关移植) 。 有结缔组织疾病(CTD ) 的病人也在风险。 在没有预先安排的成年人的 PCP 感染的二簇病在纽约以及在西班牙被报导。 在一个十五月的时期期间，没有 HIV 感染，我们在北京在北京联合医药 CollegeHospital (PUMCH ) 在病人观察了 PCP 的簇。
UWB Radar for Human Being Detection

UWB radar for detection and positioning of human beings in complex environment has been developed and manufactured. Novelty of the radar lies in its large operational bandwidth (11.7 GHz at -10 dB level) combined with high time stability. Detection of respiratory movement of a person in laboratory conditions has been demonstrated. Based on experimental results human being radar return has been analysed in the frequency band from 1 GHz until 12 GHz. Novel principle of human being detection is considered and verified experimentally
Two stages signal strength difference localization algorithm using SDP relaxation

We present a novel two stages signal strength difference (TS-SSD) localization algorithm in this letter. A new model using TS-SSD technique is derived to eliminate the effects of path loss exponent and unknown transmit power. And a total least squares (TLS) solution is given to estimate the distances between anchor and target nodes. Then a low-rank matrix completion framework is established to estimate the distances among all the unknown target nodes. After obtaining all distance measurements, a simple but robust approach based on Semidefinite Programming (SDP) relaxation is applied to estimate the location of target nodes. Compared with some existing algorithms, the proposed approach has three-fold merits: firstly, it locates multiple targets using less anchor nodes simultaneously; secondly, it shows more robustness to path model error and noise level; thirdly, it has higher localization accuracy than some existing methods. Simulation results illustrate the superiority of our proposed algorithm.
A low power DC-DC converter for scavenged power wireless sensor networks

This work presents a compact buck converter that is capable of operating without voltage references or a constant input voltage for use in a compact, ultracapacitor based wireless sensor node. This is done through the use of a direct connected topology and a voltage sensor. Measured results show that for an output of 1.2 V for a load of 100 Ohms, a power efficiency ranging from 71.9–84.3% and a current efficiency ranging from 99.5–157.6% is achieved. A similar linear regulator with a current efficiency of 98.3–98.8% was designed and tested. The designs were implemented in a 0.13 um CMOS process, with the linear regulator using 0.033 mm of area and the buck converter using 0.042 mm2 of area, achieving comparable or better performance than similar designs with less silicon area.
A Novel Multimodal Emotion Recognition Approach for Affective Human Robot Interaction

Facial expressions and speech are elements that provide emotional information about the user through multiple communication channels. In this paper, a novel multimodal emotion recognition system based on visual and auditory information processing is proposed. The proposed approach is used in real affective human robot communication in order to estimate five different emotional states (i.e., happiness, anger, fear, sadness and neutral), and it consists of two subsystems with similar structure. The first subsystem achieves a robust facial feature extraction based on consecutively applied filters to the edge image and the use of a Dynamic Bayessian Classifier. A similar classifier is used in the second subsystem, where the input is associated to a set of speech descriptors, such as speech-rate, energy and pitch. Both subsystems are finally combined in real time. The results of this multimodal approach show the robustness and accuracy of the methodology respect to single emotion recognition systems.
Sox2 induction by FGF and FGFR2 activating mutations inhibits Wnt signaling and osteoblast differentiation

Activating mutations in fibroblast growth factor receptor 2 (FGFR2) cause several craniosynostosis syndromes by affecting the proliferation and differentiation of osteoblasts, which form the calvarial bones. Osteoblasts respond to FGF with increased proliferation and inhibition of differentiation. We analyzed the gene expression profiles of osteoblasts expressing FGFR2 activating mutations (C342Y or S252W) and found a striking down-regulation of the expression of many Wnt target genes and a concomitant induction of the transcription factor Sox2. Most of these changes could be reproduced by treatment of osteoblasts with exogenous FGF. Wnt signals promote osteoblast function and regulate bone mass. Sox2 is expressed in calvarial osteoblasts in vivo and we show that constitutive expression of Sox2 inhibits osteoblast differentiation and causes down-regulation of the expression of numerous Wnt target genes. Sox2 associates with β-catenin in osteoblasts and can inhibit the activity of a Wnt responsive reporter plasmid through its COOH-terminal domain. Our results indicate that FGF signaling could control many aspects of osteoblast differentiation through induction of Sox2 and regulation of the Wnt–β-catenin pathway.
Effect of nitrogen doping on electrical properties of amorphous carbon thin film prepared by aerosol-assisted thermal CVD

This paper reports on the effect of nitrogen doping of p-type semiconducting amorphous carbon (p-C) films fabricated onto the glass substrate by Aerosol-Assisted Thermal Chemical Vapor Deposition using natural source of camphor oil as the precursor material. From the characterization of the electrical properties using current-voltage (I–V) measurement, I–V graph was modeled. The analyze reveal that conductivity shows an increment in the N2 doped thin film, both in dark and under illumination condition. Other than that, optical and structural properties were also characterized by using UV-VIS-NIR system and Atomic Force Microscopy. The same trend of optical and electrical can be seen when the measurement from the Tauc's plot expose a decreasing value of optical band gap as temperature increase.
Lymphocyte Activation Gene-3 (CD223) Negative Regulation of T Cell Homeostasis by

Lymphocyte homeostasis is a central biological process that is tightly regulated. However, its molecular and cellular control is poorly understood. We show that aged mice deﬁcient in lymphocyte activation gene 3 (LAG-3), an MHC class II binding CD4 homologue, have twice as many T cells as wild-type controls. CD4 (cid:1) and CD8 (cid:1) LAG-3-deﬁcient T cells showed enhanced homeostatic expansion in lymphopenic hosts, which was abrogated by ectopic expression of wild-type LAG-3, but not by a signaling-defective mutant. In addition, in vivo treatment with anti-LAG-3 mAb resulted in enhanced T cell expansion to a level comparable to that in LAG-3-deﬁcient cells. This deregulation of T cell homeostasis also resulted in the expansion of multiple cell types, including B cells, macrophages, granulocytes, and dendritic cells. Lastly, regulatory T cells were dependent on LAG-3 for their optimal control of T cell homeostasis. Our data suggest that LAG-3 negatively regulates T cell homeostasis by regulatory T cell-dependent and independent mechanisms. The Journal of Immunology, 2005, 174: 688–695.
Ultraviolet B Light‐induced Nitric Oxide/Peroxynitrite Imbalance in Keratinocytes—Implications for Apoptosis and Necrosis

Elevation of nitric oxide (NO˙) can either promote or inhibit ultraviolet B light (UVB)‐induced apoptosis. In this study, we determined real‐time concentration of NO˙ and peroxynitrite (ONOO−) and their role in regulation of membrane integrity and apoptosis. Nanosensors (diameter 300–500 nm) were used for direct in situ simultaneous measurements of NO˙ and ONOO− generated by UVB in cultured keratinocytes and mice epidermis. An exposure of keratinocytes to UVB immediately generated ONOO− at maximal concentration of 190 nm followed by NO˙ release with a maximal concentration of 91 nm. The kinetics of UVB‐induced NO˙/ONOO− was in contrast to cNOS agonist stimulated NO˙/ONOO− from keratinocytes. After stimulating cNOS by calcium ionophore (CaI), NO˙ release from keratinocytes was followed by ONOO− production. The [NO˙] to [ONOO−] ratio generated by UVB decreased below 0.5 indicating a serious imbalance between cytoprotective NO˙ and cytotoxic ONOO−—a main component of nitroxidative stress. The NO˙/ONOO− imbalance increased membrane damage and cell apoptosis was partially reversed in the presence of free radical scavenger. The results suggest that UVB‐induced and cNOS‐produced NO˙ is rapidly scavenged by photolytically and enzymatically generated superoxide (O2˙−) to produce high levels of ONOO−, which enhances oxidative injury and apoptosis of the irradiated cells.
miR-134 Modulates the Proliferation of Human Cardiomyocyte Progenitor Cells by Targeting Meis2

Cardiomyocyte progenitor cells play essential roles in early heart development, which requires highly controlled cellular organization. microRNAs (miRs) are involved in various cell behaviors by post-transcriptional regulation of target genes. However, the roles of miRNAs in human cardiomyocyte progenitor cells (hCMPCs) remain to be elucidated. Our previous study showed that miR-134 was significantly downregulated in heart tissue suffering from congenital heart disease, underlying the potential role of miR-134 in cardiogenesis. In the present work, we showed that the upregulation of miR-134 reduced the proliferation of hCMPCs, as determined by EdU assay and Ki-67 immunostaining, while the inhibition of miR-134 exhibited an opposite effect. Both up- and downregulation of miR-134 expression altered the transcriptional level of cell-cycle genes. We identified Meis2 as the target of miR-134 in the regulation of hCMPC proliferation through bioinformatic prediction, luciferase reporter assay and western blot. The over-expression of Meis2 mitigated the effect of miR-134 on hCMPC proliferation. Moreover, miR-134 did not change the degree of hCMPC differentiation into cardiomyocytes in our model, suggesting that miR-134 is not required in this process. These findings reveal an essential role for miR-134 in cardiomyocyte progenitor cell biology and provide new insights into the physiology and pathology of cardiogenesis.
El diseño de contextos educativos mediados por ordenador y el aprendizaje de contenidos procedimentales de matemáticas en la ESO

Resumen En este artículo se justifica teóricamente y se evalúa el diseño de un contexto educativo, mediado por ordenador para favorecer el aprendizaje de procedimientos de resolución de problemas sobre el contenido matemático de la proporcionalidad. Los principios educativos que han guiado el diseño y el proceso de evaluación son los siguientes: a) estudiar las características del programa informático que pueden potenciar el aprendizaje de estrategias de resolución de problemas. Nuestro trabajo ha utilizado una hoja de cálculo como programa informático; b) contextualizar las actividades y los problemas a resolver en situaciones del entorno cotidiano del alumno y c) facilitar el aprendizaje compartido y colaborativo de procedimientos de resolución de problemas entre los diferentes miembros de la comunidad escolar. Los resultados obtenidos en nuestro estudio muestran que la mediación de la hoja de cálculo en la resolución de tareas matemáticas ha definido una manera de aprender cuantitativamentey cualitativamente diferente.
The effects of two brass pedagogy strategies on the development of auditory discrimination skills

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