Miracle-dz/UniFAR-FTUs huggingface dataset:
Xiao-Shen-Formula, a Traditional Chinese Medicine, Improves Glomerular Hyper-Filtration in Diabetic Nephropathy via Inhibiting Arginase Activation and Heparanase Expression

Hyperglycemia induces glomerular hyper-filtration, which contributes to the development of diabetic nephropathy (DN), a condition that remains a challenge for treatment. The present study investigated the effect of Xiao-Shen-Formula (XSF) used for treatment of renal injury in type 1 DN mice model induced by streptozotocin (STZ) and its underlying mechanism in cultured human glomerular endothelial cell (hGECs). Studies were performed using control, diabetic DN, DN treated with XSF groups (1 g/kg/d, LXSF or 3 g/kg/d, HXSF) for 6 weeks and hGECs were post-treated with mice serum containing HXSF (MS-HXSF) and arginase inhibitor (ABH, 100 μM) in high glucose medium. HXSF treatment restored STZ-induced renal hyper-filtration, glomerulosclerosis, renal microvascular remodeling and the increased levels of systemic reactive oxidative species and inflammatory cytokines, accompanied by preventing the decreased expression of glomerular heparin sulfate and the increased levels of cortical heparanase and argianse2 protein and arginase activity. In hGECs study, MS-HXSF ameliorated the enhancement in arginase activity, the protein/mRNA expression of heparanase, mRNA levels of vascular cell adhesion molecule-1, intercellular adhesion molecule-1, monocyte chemoattractant protein-1 and permeability of hGECs monolayers as well as the depression of nitric oxide production. Besides all these protective effects, XSF blunted the mRNA expression of TNF-α in vivo and vitro studies as well, which was not changed by the post-treatment of ABH or HXSF plus ABH. This study demonstrated that the protective effect of XSF might be related with vascular prevention, anti-inflammation and anti-oxidation through intervening multi-targets including glomerular endothelial arginase-heparanase signaling pathway in DN model.
Phenotypic plasticity as a clue for invasion success of the submerged aquatic plant Elodea nuttallii.

Two closely related alien submerged aquatic plants were introduced into Europe. The new invader (Elodea nuttallii) gradually displaced E. canadensis even at sites where the latter was well established. The aim of the study was to evaluate the combined effects of environmental factors on several phenotypic characteristics of the two Elodea species, and to relate these phenotypic characteristics to the invasion success of E. nuttallii over E. canadensis. In a factorial design, Elodea plants were grown in aquaria containing five different nitrogen concentrations and incubated at five different light intensities. We used six functional traits (apical shoot RGR), total shoot RGR, relative elongation, root length, lateral spread, branching degree) to measure the environmental response of the species. We calculated plasticity indices to express the phenotypic differences between species. Light and nitrogen jointly triggered the development of phenotypic characteristics that make E. nuttallii a more successful invader in eutrophic waters than E. canadensis. The stronger invader showed a wider range of phenotypic plasticity. The apical elongation was the main difference between the two species, with E. nuttallii being more than two times longer than E. canadensis. E. canadensis formed dense side shoots even under high shade and low nitrogen levels, whereas E. nuttallii required higher light and nitrogen levels. We found that under more eutrophic conditions, E. nuttallii reach the water surface sooner than E. canadensis and through intensive branching outcompetes all other plants including E. canadensis. Our findings support the theory that more successful invaders have wider phenotypic plasticity.
Nomograms based on inflammatory biomarkers for predicting tumor grade and micro-vascular invasion in stage I/II hepatocellular carcinoma

Background: Increasing evidences reveal that inflammation plays a critical role in tumorigenesis and progression. We aimed to develop the nomograms based on inflammatory biomarkers to predict micro-vascular invasion (MVI) and tumor grade in stage I/II hepatocellular carcinoma (HCC). Methods: A retrospective cohort of 627 patients with stage I/II HCC between January 2007 and December 2014 was included in the study. Logistic regression was performed to identify the independent risk factors of tumor grade and MVI. The significant predictors including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), lymphocyte-to-monocyte ratio (LMR), tumor volume age, and tumor size were subsequently incorporated to build the nomograms. The prediction accuracies of the nomograms were evaluated using the area under the receiver operating characteristic (ROC) curve. Results: The independent risk factors for tumor grade were NLR, dNLR, and tumor volume (P<0.001, P=0.001, and P<0.001, respectively), which were assembled into tumor grade nomogram. MVI nomogram was developed by dNLR, LMR, age, and tumor size (P<0.001, P<0.001, P<0.001, and P=0.001, respectively) which were the independent predictors for MVI. The area under the ROC curve of nomograms for predicting tumor grade and MVI were 0.727 (95% confidence intervals [CI]: 0.690–0.761) and 0.839 (95% CI: 0.808–0.867), respectively. Patients who had a nomogram score of less than 100 and 79 were considered to have high possibility of moderate grade and have low risks of MVI presence, respectively. Conclusion: We successfully developed nomograms predicting tumor grade and MVI based on inflammatory biomarkers with high accuracy, leading to a rational therapeutic choice for stage I/II HCC.
Medication-related osteonecrosis of the jaws (MRONJ) and quality of life evaluation: a pilot study.

BACKGROUND MRONJ (medication related osteonecrosis of the jaws) is a well-known side effect of certain drugs, which are used to influence bone metabolism for the cure of osteo-metabolic or cancer diseases. The aim of this study is to assess the quality of life (QOL) under a physical and mental point of view in patients affected by MRONJ compared with the general population. METHODS The study has been accomplished through the administration of the SF-12 questionnaire: 30 patients of the MRONJ group were evaluated. RESULTS Significant differences based on the level of education and age of the subjects, on the location and finally on the stage of necrosis of the jaw have been identified. In this pilot study the test sample shows how MRONJ can aggravate the conditions of patients, above all under a physical point of view. CONCLUSIONS Prevention of MRONJ and its symptoms as dysphagia, oral pain, immunological compromission and the need of frequent antibiotic therapies is a crucial part of modern oral pathology and dentistry, above all for oncologic patients who already have a general decrease of physical and mental activities, leading to a poor quality of life.
Intimate Partner Violence and its Escalation Into Femicide. Frailty thy Name Is “Violence Against Women”

Violence against women is a disabler of dignity, liberty, and rights of the person, with murder being its extreme form for silencing the individual. Despite psycho-criminological research providing evidence that violence can happen across cultures, sexes, and societies, other findings show that some forms of violence i.e. Intimate Partner Violence (IPV), which involves more frequently women as victims, is not rare in contemporary society. The aim of this study is to analyze the violence against women, and how it escalates up to the point in which it aggravates into femicide. In order to carry out this study, data from both the Turin Archive of the Institute of Legal Medicine (1970–1997), and the Archive of the Central Morgue (1998–2016) were collected. The interest was to focus on those women who were killed in Turin, between 1970 and 2016, by a male with whom they were involved in a more or less intimate relationship (e.g., matrimonial, sexual, friendship, professional, etc.). Collateral information was also gathered from forensic files that reported sufficient details about the criminal events. The sample was composed of 275 women killed by violence in Turin, Italy, by 260 males. This research was based on two questions: Is murder the worst possible scenario of a long-lasting abusive relationship? Are we witnessing a shift in how violence now happens, becoming perhaps less striking than murder, but not less painful from the victim's point of view? These findings show that escalation into femicide featured more likely within an intimate and affective relationship between victim and perpetrator; they also show that when the perpetrator knew the victim, it was more likely that an overkilling took place. When victims sustained multiple injuries that went beyond those necessary to cause their death, one is in front of an overkilling. These results also suggest that motives behind intimate partner femicide could account for a differential degree of violence, so that the longer and closer the relationship was between victim and perpetrator, the higher the risk of IPV escalating into femicide, and of femicide being executed with extreme and severe force.
Conversion of descriptor representations to state-space form: an extension of the shuffle algorithm

ABSTRACT This paper proposes a systematic procedure for the determination of state-space models from an available descriptor representation of a linear dynamic system. The goal is to determine a state equation, a set of algebraic equations and an output equation in terms of the state and input variables. It is shown that standard methods may fail to convert the descriptor representation to state-space form, even for simple electrical circuit models obtained from Kirchoff's laws and constitutive element equations. A novel procedure to address this problem is then proposed as an extension of the classic shuffle algorithm combined with a singular value decomposition approach. In addition to an illustrative example involving a simple electrical circuit, the proposed method is employed in a case study involving the modelling of three-dimensional RLC networks with a large number of components.
Collision Resolution Protocol for Delay and Energy Efficient LoRa Networks

Future 5G and Internet of Things (IoT) applications will heavily rely on long-range communication technologies such as low-power wide area networks. In particular, LoRaWAN built on LoRa physical layer is gathering increasing interest, both from academia and industries, for enabling low-cost energy efficient IoT wireless sensor networks for, e.g., environmental monitoring over wide areas. While its communication range may go up to 20 km, the achievable bit rates in LoRaWAN are limited to a few kilobits per second. In the event of collisions, the perceived rate is further reduced due to packet loss and retransmissions. First, to alleviate the harmful impacts of collisions, we propose a decoding algorithm that enables to resolve several superposed LoRa signals. Our proposed method exploits the slight desynchronization of superposed signals and specific features of LoRa physical layer. Secondly, we design a full MAC protocol enabling collision resolution. The simulation results demonstrate that the proposed method outperforms conventional LoRaWAN jointly in terms of system throughput, energy efficiency as well as delay. These results show that our scheme is well suited for 5G and IoT systems, as one of their major goals is to provide the best trade-off among these performance objectives.
Overview of information visualisation in science education

Developed on computer assisted instruction, visual education has become a new teaching method, which is a computer technique-based visual design for education. Based on the overview of the previous studies, this paper expounds the main features of education visualisation, outlines the theoretical basis of education visualisation, summarises the empirical study of science education visualisation, and refines the application scenarios and attention matters in the visualisation of science education by using static and dynamic visualisation as the clues for classification. Finally, it is concluded that the effect of education visualisation is remarkable depending on the students' knowledge background, visual perception and comprehension ability. Therefore, the design of educational visualisation must ensure that the objects and contents of visualisation can adapt to the specific conditions and instructional objectives.
Non-carious cervical lesions and risk factors: A case-control study.

OBJECTIVES To evaluate whether the presence of non-carious cervical lesions (NCCLs) was related to the considered risk factors and to show the corresponding odds ratio in a predictive model. METHODS The sample was 280 dentistry students. In an initial clinical examination, 140 cases were selected that presented one or more teeth with non-carious cervical wear. For each case, a similar sex and age control without any tooth with non-carious cervical lesions was selected. An occlusal examination and periodontal probing were performed in all cases and controls by skilled dentists. All the subjects answered a questionnaire referring to factors of brushing, bruxism, preferred chewing side, consumption of extrinsic acids and the presence of intrinsic acids. Data were analysed by means of univariate and multivariate logistic regression. RESULTS Of all the study variables, only the protrusion interferences, interferences on the non-working side, the brushing force, CPITN value and the consumption of salads increase the risk of NCCLs in the univariate regression. The best predictive model was formed by the combination of CPITN variables >1, the consumption of acidic salads, self-reported bruxism, brushing force and attrition. However, it only correctly classifies 68.75% of subjects. CONCLUSIONS This study supports the multifactorial aetiology of NCCLs, the combination of several factors being necessary to explain their presence. The risk factors that make up the predictive model are not sufficient to explain the appearance of NCCLs. Dentists should take into account all these risk factors in prevention, diagnosis and treatment.
Siglec-7 engagement by GBS β-protein suppresses pyroptotic cell death of natural killer cells

Significance Direct interactions between natural killer (NK) cells and bacteria are rarely observed, and the consequences of these interactions not well understood. We show that human NK cells exposed to the bacterium group B Streptococcus (GBS) undergo pyroptosis, a type of inflammatory cell death. By releasing inflammatory mediators, pyroptosis is thought to be a way for sentinels to die and alert the immune system of infection. Interestingly, we also found that GBS has a protein that binds to Siglec-7, an inhibitory molecule on NK cells. Siglec-7 inhibits pyroptosis and silences the sentinel activity of NK cells by preventing the release of inflammatory molecules. These studies suggest that a human pathogen can silence the sentinel by specific interaction with a Siglec protein. Natural killer (NK) cells are innate immune lymphocytes that recognize and destroy abnormal host cells, such as tumor cells or those infected by viral pathogens. To safely accomplish these functions, NK cells display activating receptors that detect stress molecules or viral ligands displayed at the cell surface, balanced by inhibitory receptors that bind to self-molecules. To date, such activating and inhibitory receptors on NK cells are not known to recognize bacterial determinants. Moreover, NK cell responses to direct interactions with extracellular bacteria are poorly explored. In this study, we observed the human neonatal pathogen group B Streptococcus (GBS) can directly engage human NK cells. The interaction was mediated through the B6N segment of streptococcal β-protein, binding to the inhibitory receptor Siglec-7 via its amino-terminal V-set domain. Unlike classical Siglec binding, the interaction is also independent of its sialic acid recognition property. In contrast to WT GBS, mutants lacking β-protein induced efficient pyroptosis of NK cells through the NLRP3 inflammasome, with production and secretion of the proinflammatory cytokine IL-1β and dissemination of the cytotoxic molecule granzyme B. We postulate that GBS evolved β-protein engagement of inhibitory human Siglec-7 to suppress the pyroptotic response of NK cells and thereby block recruitment of a broader innate immune response, i.e., by “silencing the sentinel. ”
Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate

Controlled breathing maneuver is being widely applied for cardiovascular autonomic control evaluation and cardiac vagal activation through reduction of breathing rate (BR). However, this maneuver presented contradictory results depending on the protocol and the chosen BR. These variations may be related to the individual intrinsic profile baseline sympathetic tonus, as described before by others. In this study, we evaluated the effect of controlled breathing maneuver on cardiovascular autonomic control in 26 healthy subjects allocated into two protocols: (1) controlled breathing in three different rates (10, 15, and 20 breaths/min) and (2) controlled breathing in rates normalized by the individual spontaneous breathing rate (SBR) at 100, 80, 70, and 50%. Our results showed autonomic responses favorable to vagal modulation with the lower BR maneuvers. Nevertheless, while this activation was variable using the standard protocol, all participants of the normalized protocol demonstrated an increase of vagal modulation at 80% BR (HFnu 80 = 67.5% vs. 48.2%, p < 0.0001). These results suggest that controlled breathing protocols to induce vagal activation should consider the SBR, being limited to values moderately lower than the baseline.
Temporal Relational Ranking for Stock Prediction

Stock prediction aims to predict the future trends of a stock in order to help investors make good investment decisions. Traditional solutions for stock prediction are based on time-series models. With the recent success of deep neural networks in modeling sequential data, deep learning has become a promising choice for stock prediction. However, most existing deep learning solutions are not optimized toward the target of investment, i.e., selecting the best stock with the highest expected revenue. Specifically, they typically formulate stock prediction as a classification (to predict stock trends) or a regression problem (to predict stock prices). More importantly, they largely treat the stocks as independent of each other. The valuable signal in the rich relations between stocks (or companies), such as two stocks are in the same sector and two companies have a supplier-customer relation, is not considered. In this work, we contribute a new deep learning solution, named Relational Stock Ranking (RSR), for stock prediction. Our RSR method advances existing solutions in two major aspects: (1) tailoring the deep learning models for stock ranking, and (2) capturing the stock relations in a time-sensitive manner. The key novelty of our work is the proposal of a new component in neural network modeling, named Temporal Graph Convolution, which jointly models the temporal evolution and relation network of stocks. To validate our method, we perform back-testing on the historical data of two stock markets, NYSE and NASDAQ. Extensive experiments demonstrate the superiority of our RSR method. It outperforms state-of-the-art stock prediction solutions achieving an average return ratio of 98% and 71% on NYSE and NASDAQ, respectively.
Extracorporeal cardiopulmonary resuscitation in refractory intra‐operative cardiac arrest: an observational study of 12‐year outcomes in a single tertiary hospital

Refractory intra‐operative cardiac arrest is a challenging issue for anaesthetists. In this study, we analysed the outcomes of adult patients who received extracorporeal cardiopulmonary resuscitation for refractory intra‐operative cardiac arrest between 2005 and 2016, using data from our institutional extracorporeal membrane oxygenation registry. We defined refractory intra‐operative cardiac arrest as the failure of a return of spontaneous circulation after 30 min of cardiopulmonary resuscitation. The primary outcome measure was neurologically intact survival with a cerebral performance category score of 1 or 2 at hospital discharge. Between 2005 and 2016, extracorporeal cardiopulmonary resuscitation was used to treat 23 patients who experienced refractory cardiac arrest in the operating room. The survival rates of neurologically‐intact subjects were 9/23 (39%) and 6/23 (26%) at 24 h postoperatively and at hospital discharge, respectively. The main cause of refractory‐intra‐operative cardiac arrest was haemorrhagic shock in 13 out of 23 (57%) patients, and the neurologically‐intact survival rate in these patients was 3/13 (23%) at discharge. Our study showed that approximately a quarter of patients with refractory intra‐operative cardiac arrest caused by haemorrhage would receive survival benefit from extracorporeal cardiopulmonary resuscitation. Therefore, extracorporeal cardiopulmonary resuscitation may be a possible option in this clinically‐challenging situation.
Group protection and LAN service scheme utilizing flexible modularization and high efficiency for metro‐access network

In this paper, a reliable scheme based on star topology is proposed by introducing group protection. Depending on interconnecting fibers, all optical network units (ONUs) are divided into some groups and each group contains 2 ONUs. Through these groups, the network can not only realize efficient transmission of local area network service between adjacent ONUs but also provide mutual protection for ONUs in a group when distribution fibers happen to faults. By using the backup pathway, the network can further provide protections for feeder fibers when they fall in faults. With the help of the optical tunable receiver in ONU, dynamic bandwidth allocation algorithm is also supported to realize flexible bandwidth allocation in 1 group. By the subtly design, the network can realize passivity (there are no active devices in remote nodes), modularization, and scalability. By utilizing amplitude modulation, differential phase shift keying modulation and reflective semiconductor optical amplifier technology, wavelength triple reuse is also achieved. Finally, the results of simulation and performance analysis demonstrate the feasibility of the architecture.
The Brief Case: A 10-Year-Old Girl with Meningoencephalitis

aDivision of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA bDivision of Child and Adolescent Neurology, Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA cDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA dMinnesota Department of Health, St. Paul, Minnesota, USA