Miracle-dz/UniFAR-FTUs huggingface dataset:
A tubo-ovarian abscess mimicking an appendiceal abscess: a rare presentation of Streptococcus agalactiae

Abstract A tubo-ovarian abscess (TOA) is a relatively rare medical complication that results from an untreated/unrecognized ascending pelvic infection of the female genital tract. In a right-sided TOA, this clinical entity may mimic appendicitis on computed tomography (CT). In addition, both disease processes can present with pelvic pain, leukocytosis and fever. We present the case of a 47-year-old female with mid right-sided abdominal pain that was diagnosed on CT scan with an appendiceal abscess. She underwent CT-guided percutaneous drainage with interventional radiology. On Day 8, a CT limited study involving a contrast injection was performed to evaluate for abscess resolution. The contrast within the drain filled the fallopian tube, endometrial cavity and contralateral fallopian tube. These findings demonstrated that the initial diagnosis actually represented a TOA. To the authors’ knowledge, this is the only reported case involving a TOA secondary to Streptococcus agalactiae (GBS) mimicking an appendicitis with abscess formation.
Photoplethysmogram Based Biometric Identification Incorporating Different Age and Gender Group

Biometric is the authentication and identification of a person by measuring or estimating their physiological characteristics. First generation biometric such as fingerprint, signature and voice have drawback and easily can be duplicated which lead to serious identity theft crime. Therefore, second generation of biometric was introduced by using bio-signal. This study evaluates the possibility of applying PPG as biometric identification system incorporating different age, gender group, and time variability. A total of 36 subjects were involved in this study consists of 18 males and 18 females for age difference and gender analysis. The PPG signals were taken in resting state by using pulse oximeter. The PPG signal was differentiated twice in order to form APG signal. These signals then undergo preprocessing and the segmentation process was done by using MATLAB. The highest peaks from the signal was used as reference point to determine the appropriate distance for one cycle of both signal. Then, the signals were classified by four commonly used classifiers which are Bayes Network, Naive Bayes, Multilayer Perceptron, and Radial Basis Function. The outcome from this study suggested the accuracy up to 100% for different age group, 91.11% for female subjects and 95% for male subjects.
Ile73Asn mutation in protein C introduces a new N-linked glycosylation site on the first EGF-domain of protein C and causes thrombosis

Activated protein C exerts its anticoagulant activity by protein S-dependent inactivation of factors Va and VIIIa by limited proteolysis. We identified a venous thrombosis patient who has plasma protein C antigen level of 63% and activity levels of 44% and 23%, as monitored by chromogenic and clotting assays. Genetic analysis revealed the proband carries compound heterozygous mutations (c.344T>A, p.I73N and c.1181G>A, p.R352Q) in PROC. We individually expressed protein C mutations and discovered that thrombin-thrombomodulin activates both variants normally and the resulting activated protein C mutants exhibit normal amidolytic and proteolytic activities. However, while protein S-dependent catalytic activity of activated protein C-R352Q toward factor Va was normal, it was significantly impaired for activated protein C-I73N. These results suggest that the Ile to Asn substitution impairs interaction of activated protein C-I73N with protein S. This conclusion was supported by a normal anticoagulant activity for activated protein C-I73N in protein S-deficient but not in normal plasma. Further analysis revealed Ile to Asn substitution introduces a new glycosylation site on first EGF-like domain of protein C, thereby adversely affecting interaction of activated protein C with protein S. Activated protein C-R352Q only exhibited reduced activity in sub-physiological concentrations of Na+ and Ca2+, suggesting that this residue contributes to metal ion-binding affinity of the protease, with no apparent adverse effect on its function in the presence of physiological levels of metal ions. These results provide insight into the mechanism by which I73N/R352Q mutations in activated protein C cause thrombosis in proband carrying this compound heterozygous mutation.
Inferring Latent Domains for Unsupervised Deep Domain Adaptation

Unsupervised Domain Adaptation (UDA) refers to the problem of learning a model in a target domain where labeled data are not available by leveraging information from annotated data in a source domain. Most deep UDA approaches operate in a single-source, single-target scenario, i.e., they assume that the source and the target samples arise from a single distribution. However, in practice most datasets can be regarded as mixtures of multiple domains. In these cases, exploiting traditional single-source, single-target methods for learning classification models may lead to poor results. Furthermore, it is often difficult to provide the domain labels for all data points, i.e. latent domains should be automatically discovered. This paper introduces a novel deep architecture which addresses the problem of UDA by automatically discovering latent domains in visual datasets and exploiting this information to learn robust target classifiers. Specifically, our architecture is based on two main components, i.e. a side branch that automatically computes the assignment of each sample to its latent domain and novel layers that exploit domain membership information to appropriately align the distribution of the CNN internal feature representations to a reference distribution. We evaluate our approach on publicly available benchmarks, showing that it outperforms state-of-the-art domain adaptation methods.
Customised multiphasic nucleus/annulus scaffold for intervertebral disc repair/regeneration

ABSTRACT Background: In the case of a degenerated intervertebral disc (IVD), even though spinal fusion has provided good short-term clinical results, an alteration of the spine stability has been demonstrated by long-term studies. In this context, different designs of IVD prostheses have been proposed as alternative to spinal fusion. However, over the past few years, much of the recent research has been devoted to IVD tissue engineering, even if several limitations related to the complex structure of IVD are still presented.Purpose/Aim: Accordingly, the aim of the current paper was to develop a strategy in designing customised multiphasic nucleus/annulus scaffolds for IVD tissue engineering, benefiting from the great potential of reverse engineering, additive manufacturing and gels technology.Materials and Methods: The device consisted of a customised additive-manufactured poly(ε-caprolactone) scaffold with tailored architectural features as annulus and a cell-laden collagen-low molecular weight hyaluronic acid-based material as nucleus with specific rheological and functional properties. To this aim, injectability and viscoelastic properties of the hydrogel were analyzed. Furthermore, a mechanical and biological characterization of cell-laden multiphasic nucleus/annulus scaffold was performed.Results and Conclusions: Analyses on the developed devices demonstrated appropriate viscoelastic and mechanical properties. As evidenced by rheological tests, the hydrogel showed a shear-thinning behaviour, supporting the possibility to inject the material. The mechanical characterization highlighted a compressive modulus which falls in the range of lumbar discs, with the typical initial J-shaped stress–strain curve of natural IVDs. Furthermore, preliminary biological tests showed that human mesenchymal stem cells were viable over the culture period.
Parenting When Children Have Lyme Disease: Fear, Frustration, Advocacy

Increasing numbers of Canadians, including children and adolescents, are being infected with Borrelia burgdorferi and contracting Lyme disease. In the present study, we provided a qualitative analysis of written correspondence produced by 23 parents of children and adolescents with Lyme disease. The goal of this study was to investigate how medical and psychological issues were highlighted by parents describing their family’s Lyme disease experiences. The results suggest a series of four stages in these families where satisfactory treatment had not been obtained over months or years. The experiences of parents evolved from feelings of worry for the child to frustration with the lack of a helpful treatment, to mistrust of physicians’ actions, and, in some case, to a rejection of the conventional health care system as a whole. Improved diagnostic testing and treatment guidelines, as well as family-centered practices of medical care were proposed as important features for improving the experiences of families living with Lyme disease.
Product Family Assessment

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A Projection Neural Network for the Generalized Lasso

The generalized lasso (GLasso) is an extension of the lasso regression in which there is an $l_{1}$ penalty term (or regularization) of the linearly transformed coefficient vector. Finding the optimal solution of GLasso is not straightforward since the penalty term is not differentiable. This brief presents a novel one-layer neural network to solve the generalized lasso for a wide range of penalty transformation matrices. The proposed neural network is proven to be stable in the sense of Lyapunov and converges globally to the optimal solution of the GLasso. It is also shown that the proposed neural solution can solve many optimization problems, including sparse and weighted sparse representations, (weighted) total variation denoising, fused lasso signal approximator, and trend filtering. Disparate experiments on the above problems illustrate and confirm the excellent performance of the proposed neural network in comparison to other competing techniques.
Catalysis by pure graphene - From supporting actor to protagonist through shape complementarity.

In most catalytic applications graphene is either functionalized or acts as the catalyst support. DFT calculations show on the example of the racemizations of binaphthyl compounds that pure unmodified graphene can directly catalyze chemical pro-cesses through stabilizing non-covalent π-π interactions resulting from shape complementarity between transition structures and catalyst.
Response to Bittner et al.: Polyethylene glycol fusion associated with antioxidants: A new promise in the treatment of traumatic paralysis

Dear Ehab Y. Hanna, We carefully read the questions received from Bittner et al. about our recently published and revised by an erratum article at Head & Neck. First, it seems to us that the authors of the questions did not fully understand that we carried out a research with a different methodology, technique, protocol design, and evaluation methods from those used by these authors, thus implying different interpretation in comparison with the articles published by those authors, which does not invalidate our results and conclusions. At our erratum text, a few misquoting issues have been corrected and we have provided a more comprehensive description of our method to avoid misunderstanding by other readers, as occurred with Bittner et al. Second, we also believe that polyethylene glycol (PEG)fusion experiences could produce a paradigm shift in the treatment of traumatic peripheral nerve injuries and maybe more research is needed. The publication of different results, even if they are not positive, contributes to better understanding, scientific progress, and innovation in clinical management of patients with peripheral nerve injuries. Below are the answers to the questions raised by Bittner et al.
Recognizing Deverbal Events in Context

Event detection is a key task in order to access information through content. This paper focuses on events realized by deverbal nouns in Italian. Deverbal nouns obtained through transpositional suffixes (such as -zione; -mento, -tura and -aggio) are commonly known as nouns of action, i.e. nouns that denote the process/action described by the corresponding verbs. However, this class of nouns is also known for a specific polysemous alternation: they may denote the result of the process/action of the corresponding verb. This paper describes a statistically based analysis that helps to develop a classifier for automatic identification of deverbal nouns denoting events in context by exploiting rules obtained from syntagmatic and collocational cues identified by linguists.
Exposure assessment of Salmonella spp. in fresh pork meat from two abattoirs in Colombia

Salmonella spp. prevails as the main cause of raw meat foodborne illnesses. Implementation of food safety management systems such as Hazard Analysis and Critical Control Points in swine abattoirs can help to mitigate pathogen exposure. The objective of the present study was to evaluate the impact of the HACCP system in slaughterhouses in Colombia on reducing Salmonella spp. exposure due to the consumption of fresh pork meat. Two slaughtering plants with a different degree of HACCP implementation were selected and a quantitative microbiological mapping was built by collecting 820 samples of Salmonella spp. enumeration at different processing stages. The overall Salmonella spp. mean concentration was 1.15 ± 0.55 log MPN/g, with no significant differences among plants (P > 0.05). Deficiencies during carcass disinfection and temperature during distribution of meat cuts from the slaughterhouse lacking of HACCP resulted in a significant increase of Salmonella spp. prevalence (20–40%) (P < 0.05). Processing stages with the highest pathogen prevalence were transport (28–32%) and hanging (16–36%). The exposure assessment model estimated a higher degree of pathogen contamination at the time of consumption in meat cuts from the slaughterhouse without HACCP (3.36 versus 3.68 log MPN/g) and 10-fold increase in the probability a consumer would acquire a contaminated portion (0.011 versus 0.105). Implementation of the HACCP system in swine slaughterhouses represents tangible Salmonella spp. reduction control and public health protection measures.
Optogenetic manipulation of astrocytes from synapses to neuronal networks: A potential therapeutic strategy for neurodegenerative diseases

Astrocytes are the most widespread and heterogeneous glial cells in the central nervous system and key regulators for brain development. They are capable of receiving neurotransmitters produced by synaptic activities and regulating synaptic functions by releasing gliotransmitters as part of the tripartite synapse. In addition to communicating with neurons at synaptic levels, astrocytes can integrate into inhibitory neural networks to interact with neurons in neuronal circuits. Astrocytes are closely related to the pathogenesis and pathological processes of neurodegenerative diseases (NDs). Recently, optogenetics has now been applied to reveal the function of astrocytes in physiology and pathology. Herein, we discuss the possibility whether optogenetics could be used to control the release of gliotransmitters and regulate astrocytic membrane channels. Thus, the capability of modulating the bidirectional interactions between astrocytes and neurons in both synaptic and neuronal networks via optogenetics is evaluated. Furthermore, we discuss that manipulating astrocytes via optogenetics might be an effective way to investigate the potential therapeutic strategy for NDs.
The structure and conformational switching of Rap 1 B

Rap1B is a small GTPase involved in the regulation of numerous cellular processes including synaptic plasticity, one of the bases of memory. Like other members of the Ras family, the active GTP-bound form of Rap1B can bind to a large number of effector proteins and so transmit signals to downstream components of the signaling pathways. The structure of Rap1B bound only to a nucleotide has yet to be solved, but might help reveal an inactive conformation that can be stabilized by a small molecule drug. Unlike other Ras family proteins such as H-Ras and Rap2A, Rap1B crystallizes in an intermediate state when bound to a non-hydrolyzable GTP analog. Comparison with H-Ras and Rap2A reveals conservative mutations relative to Rap1B, distant from the bound nucleotide, which control how readily the protein may adopt the fully activated form in the presence of GTP. High resolution crystallographic structures of mutant proteins show how these changes may influence the hydrogen bonding patterns of the key switch residues. © 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Extreme Large-scale Multi-Phase-Field Simulation of Polycrystalline Grain Growth using TSUBAME 2 . 5 GPU-Supercomputer

Masashi Okamoto, Akinori Yamanaka, Takashi Shimokawabe and Takayuki Aoki Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei-shi, 184-8588, Tokyo, Japan. 50010255023@st.tuat. ac.jp Division of Advanced Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei-shi, 184-8588, Tokyo, Japan. a-ayamana@cc.tuat. ac.jp Global Scientific Information and Computing Center, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, 152-8588, Tokyo, Japan. shimokawabe@sim.gsic.titech.ac.jp, taoki@gsic.titech.ac.jp
The polymorphisms in ATPase sarco / endoplasmic reticulum Ca 2 + transporting-3 gene associated with gastrointestinal nematode infection in goat

Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, P. R. China. (Corresponding author: Ali Akbar Bhuiyan (A. A. Bhuiyan): aab76_blri@yahoo.com; Cell: +86-15927465507) Senior Scientific Officer, Bangladesh Livestock Research Institute, Savar, Dhaka-1341, Bangladesh Department of Animal Production, Faculty of Agriculture at Moshtohor, Benha University, Egypt State key Laboratory of Agricultural Microbiology, Ministry of Education, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, P. R. China. Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China.
Letters Imaging Shear Strength Along Subduction Faults

Subduction faults accumulate stress during long periods of time and release this stress suddenly, during earthquakes, when it reaches a threshold. This threshold, the shear strength, controls the occurrence and magnitude of earthquakes. We consider a 3-D model to derive an analytical expression for how the shear strength depends on the fault geometry, the convergence obliquity, frictional properties, and the stress field orientation. We then use estimates of these different parameters in Japan to infer the distribution of shear strength along a subduction fault. We show that the 2011 Mw9.0 Tohoku earthquake ruptured a fault portion characterized by unusually small variations in static shear strength. This observation is consistent with the hypothesis that large earthquakes preferentially rupture regions with relatively homogeneous shear strength. With increasing constraints on the different parameters at play, our approach could, in the future, help identify favorable locations for large earthquakes. Plain Language Summary Subduction faults accumulate stress during hundreds of years until this stress reaches a threshold. When this threshold is reached, an earthquake occurs. We derive an expression of the rupture threshold depending on different physical parameters, which vary along subduction faults. We then use estimates of the spacial variations of these different parameters in Japan to infer the distribution of the rupture threshold along the Japanese subduction faults. Our results suggest that very large earthquakes, such as the 2011 Mw9.0 Tohoku earthquake, occur on fault portions of particularly homogeneous rupture thresholds. Our interpretation is that the rupture threshold is more likely to be reached simultaneously on broad fault portions if it does not vary much from one point of the fault to another. Imaging spatial variations of the rupture threshold along large faults may then reveal the location of possible future large earthquakes.
HYBRID MOLECULAR DYNAMICS AND MONTE CARLO MODELING TO STUDY PHYSICAL-MECHANICAL PROPERTIES OF HIGH-ENTROPY ALLOY

Structural and physical-mechanical properties of CoCrFeMnNi high-entropy alloys of different stoichiometric composition are investigated on the base of computer modeling. An approach based on the combined use of molecular dynamics and Monte Carlo methods was applied. This made it possible to obtain the thermodynamically equilibrium configurations of CoCrFeMnNi alloys at given fractions of chemical elements, temperature and pressure. Based on the obtained data set, the influence of the stoichiometric composition of CoCrFeMnNi highentropy alloy on its structural characteristics (lattice parameter, radial distribution functions), phase stability (energy of different phases, configuration entropy) and physical-mechanical properties (Young’s modulus and elastic limit) was investigated.