Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation, Management, and Outcomes of Lunate and Perilunate Dislocations.

Lunate and perilunate dislocations are potentially devastating injuries that are often unrecognized at initial evaluation. Prompt recognition and treatment is necessary to prevent adverse sequelae, including median nerve dysfunction, carpal instability, posttraumatic arthritis, reduced functionality, and avascular necrosis. In patients who are surgical candidates, operative intervention is warranted to restore carpal kinematics and provide optimal outcomes. [Orthopedics. 2019; 42(1):e1-e6. ].
Telomere shortening by transgenerational transmission of TNF-α-induced TERRA via ATF7

Abstract Various stresses increase disease susceptibility and accelerate aging, and increasing evidence suggests that these effects can be transmitted over generation. Epidemiological studies suggest that stressors experienced by parents affect the longevity of their offspring, possibly by regulating telomere dynamics. Telomeres are elongated by telomerase and shortened by certain stresses as well as telomere repeat-containing RNA (TERRA), a telomere transcript. However, the mechanism underlying the transgenerational effects is poorly understood. Here, we show that TNF-α, which is induced by various psychological stresses, induces the p38-dependent phosphorylation of ATF7, a stress-responsive chromatin regulator, in mouse testicular germ cells. This caused a release of ATF7 from the TERRA gene promoter in the subtelomeric region, which disrupted heterochromatin and induced TERRA. TERRA was transgenerationally transmitted to zygotes via sperm and caused telomere shortening. These results suggest that ATF7 and TERRA play key roles in paternal stress-induced telomere shortening in the offspring.
Intraspecific brain size variation between coexisting sunfish ecotypes

Variation in spatial complexity and foraging requirements between habitats can impose different cognitive demands on animals that may influence brain size. However, the relationship between ecologically related cognitive performance and brain size is not well established. We test whether variation in relative brain size and brain region size is associated with habitat use within a population of pumpkinseed sunfish composed of different ecotypes that inhabit either the structurally complex shoreline littoral habitat or simpler open-water pelagic habitat. Sunfish using the littoral habitat have on average 8.3% larger brains than those using the pelagic habitat. We found little difference in the proportional sizes of five brain regions between ecotypes. The results suggest that cognitive demands on sunfish may be reduced in the pelagic habitat given no habitat-specific differences in body condition. They also suggest that either a short divergence time or physiological processes may constrain changes to concerted, global modifications of brain size between sunfish ecotypes.
Joint Contributions of Rare Copy Number Variants and Common SNPs to Risk for Schizophrenia.

OBJECTIVE: Both rare copy number variants (CNVs) and common single-nucleotide polymorphisms (SNPs) contribute to liability to schizophrenia, but their etiological relationship has not been fully elucidated. The authors evaluated an additive model whereby risk of schizophrenia requires less contribution from common SNPs in the presence of a rare CNV, and tested for interactions. METHOD: Genetic data from 21,094 case subjects with schizophrenia and 20,227 control subjects from the Psychiatric Genomics Consortium were examined. Three classes of rare CNVs were assessed: CNVs previously associated with schizophrenia, CNVs with large deletions ≥500 kb, and total CNV burden. The mean polygenic risk scores (PRSs) between study subjects with and without rare CNVs were compared, and joint effects of PRS and CNVs on schizophrenia liability were modeled by using logistic regression. RESULTS: Schizophrenia case subjects carrying risk CNVs had a lower polygenic risk than case subjects without risk CNVs but a higher risk than control subjects. For case subjects carrying known risk CNVs, the PRS was diminished in proportion to the effect size of the CNV. The strongly associated 22q11.2 deletion required little added PRS to produce schizophrenia. Large deletions and increased CNV burden were also associated with lower polygenic risk in schizophrenia case subjects but not in control subjects or after removal of known risk CNV carriers. CONCLUSIONS: The authors found evidence for interactive effects of PRS and previously associated CNVs for risk for schizophrenia, and the results for large deletions and total CNV burden support an additive model. These findings offer insights into the genetic architecture of schizophrenia by illuminating how different established genetic risk factors act and interact to influence liability to schizophrenia.
Hydroxysafflor Yellow A Shows Protection against PPARγ Inactivation in Nitrosative Neurons

Peroxynitrite-mediated nitrosative stress in the brain has been associated with various neurodegenerative disorders. Recent evidence highlights peroxisome proliferator-activated receptor γ (PPARγ) as a critical neuroprotective factor in neurodegenerative diseases. Here, we observed the effect of the herb hydroxysafflor yellow A (HSYA) during nitrosative stress in neurons and investigated the mechanism based on PPARγ protection. We found that a single exposure of primary neurons to peroxynitrite donor SIN-1 caused neuronal injury, which was accompanied by the increase of PPARγ nitration status and lack of activation of the receptor, as measured by PPARγ DNA-binding activity, by agonist (15d-PGJ2 or rosiglitazone) stimulation. The crucial role of PPARγ in neuronal defense against nitrosative stress was verified by showing that pretreatment with 15d-PGJ2 or rosiglitazone attenuated SIN-1-induced neuronal injury but pretreatment with GW9662, a PPARγ antagonist, aggravated SIN-1-induced neuronal injury. The addition of HSYA not only inhibited SIN-1-induced neuronal damage but prevented PPARγ nitrative modification and resumed PPARγ activity stimulated by either 15d-PGJ2 or rosiglitazone. Furthermore, HSYA also showed the ability to rescue the neuroprotective effect of 15d-PGJ2 or rosiglitazone when the agonists were coincubated with SIN-1. Finally, in vivo experiments demonstrated that the administration of HSYA also efficiently blocked PPARγ nitration and loss of activity in the SIN-1-injected hippocampus and reversed the increased neuronal susceptibility which was supported by the inhibition of Bcl-2 protein downregulation induced by SIN-1. The results suggest that HSYA protects neurons from nitrosative stress through keeping PPARγ as a functional receptor, allowing a more effective activation of this neuroprotective factor by the endogenous or exogenous agonist. Our findings provide new clues in understanding the role of the neuroprotective potential of the herbal HSYA.
The association between body mass index and the risk of different gastrointestinal cancers

Background: Changes in our lifestyle over the past few decades have led to a significant increase in the worldwide prevalence of both overweight (defined as a body mass index [BMI]≥25 kg/m2) and obesity (BMI≥30 kg/m2), thus leading to numerous harmful consequences for an individual's health. Several meta-analyses support the link between obesity and different gastrointestinal cancers, but substantial heterogeneity exists between studies. We will synthesize published systematic reviews to evaluate the association between body mass index (BMI) and the incidence and mortality of different gastrointestinal cancers. Methods: PubMed, EMBASE, and the Cochrane Library will be systematically searched for systematic reviews, meta-analyses, and pooled analyses in July, 2018. Two review authors will independently screen titles and abstracts for relevance, assess full texts for inclusion, carry out data extraction, and appraise methodological quality using AMSTAR checklist and reporting quality using PRISMA statement. The association between BMI and different gastrointestinal cancers will be estimated by computing the pooled relative risk (RR) and its 95% confidence interval (CI), which will be calculated from the adjusted RR, odds ratio, or hazard ratio, and 95% CI offered in the studies. Heterogeneity between studies will be assessed with the I2 statistic as a measure of the proportion of total variation in estimates that is due to heterogeneity, where I2 values of 25%, 50%, and 75% correspond to cut-off points for low, moderate, and high degrees of heterogeneity. The random effects model will be used as the pooling method when significant heterogeneity existed and the fixed effect model will be used when no heterogeneity was observed. Possible publication bias will be tested by Begg and Egger test. Discussion: This overview of systematic reviews will provide an accessible, comprehensive synthesis with which to inform clinicians and the development of guidelines for the management of the individuals with high BMI. Ethics and dissemination: Only published secondary data will be used in this study, and therefore ethics approval is not required. PROSPERO registration number: CRD42018107334.
Blockchain-Based Resource Discovery for the Intercloud

Achieving efficient and secure resource discovery in the intercloud remains non-trivial. Several peer-to-peer based resource discovery schemes have been proposed by researchers apart from industry bodies such as the Global Inter Cloud Technology Forum (GICTF). The challenges with these distributed schemes include peer-selection, trust/reputation management, transaction record management and financial settlements besides handling failures. We propose a P2P-based resource discovery framework using blockchain which addresses several of the key shortcomings of existing approaches. The proposed framework scores over existing schemes on several functional and performance parameters. It is the first instance of applying the blockchain concept to the intercloud resource discovery process circumventing the need of a trusted third-party or broker between participating Cloud Service Providers (CSPs).
Fully connected neural network for virtual monochromatic imaging in spectral computed tomography

Abstract. Spectral computed tomography (SCT) has advantages in multienergy material decomposition for material discrimination and quantitative image reconstruction. However, due to the nonideal physical effects of photon counting detectors, including charge sharing, pulse pileup and K-escape, it is difficult to obtain precise system models in practical SCT systems. Serious spectral distortion is unavoidable, which introduces error into the decomposition model and affects material decomposition accuracy. Recently, neural networks demonstrated great potential in image segmentation, object detection, natural language processing, etc. By adjusting the interconnection relationship among internal nodes, it provides a way to mine information from data. Considering the difficulty in modeling SCT system spectra and the superiority of data-driven characteristics of neural networks, we proposed a spectral information extraction method for virtual monochromatic attenuation maps using a simple fully connected neural network without knowing spectral information. In our method, virtual monochromatic linear attenuation coefficients can be obtained directly through our neural network, which could contribute to further material recognition. Our method also provides outstanding performance on denoising and artifacts suppression. It can be furnished for SCT systems with different settings of energy bins or thresholds. Various substances available can be used for training. The trained neural network has a good generalization ability according to our results. The testing mean square errors are about 1 × 10 − 05 cm − 2.
Concussion Biomarkers Assessed in Collegiate Student-Athletes (BASICS) I

Objective To describe variability in concussion biomarker concentrations collected from serum in a sample of healthy collegiate athletes, as well as report reliability metrics in a subsample of female athletes. Methods In this observational cohort study, β-amyloid peptide 42 (Aβ42), total tau, S100 calcium binding protein B (S100B), ubiquitin carboxy-terminal hydrolyzing enzyme L1 (UCH-L1), glial fibrillary acidic protein, microtubule associated protein 2, and 2′,3′-cyclic-nucleotide 3′-phosphodiesterase (CNPase) serum concentrations were measured in 415 (61% male, 40% white, aged 19.0 ± 1.2 years) nonconcussed collegiate athletes without recent exposure to head impacts. Standardized normative distributions are reported for each biomarker. We evaluated main effects (analyses of variance) of sex and race, reporting demographic-specific normative metrics when appropriate. In a subset of 31 female participants, test-retest reliability (Pearson r) and reliable change indices (80%, 90%, and 95% confidence intervals) across a 6- to 12-month interval are reported for Aβ42, total tau, S100B, and UCH-L1. Results Males exhibited higher UCH-L1 (p < 0.001, Cohen d = 0.75) and S100B (p < 0.001, d = 0.56) than females, while females had higher CNPase (p < 0.001, d = 0.43). Regarding race, black participants had higher baseline levels of UCH-L1 (p < 0.001, d = 0.61) and S100B (p < 0.001, d = 1.1) than white participants. Conversely, white participants had higher baseline levels of Aβ42 (p = 0.005, d = 0.28) and CNPase (p < 0.001, d = 0.46). Test-retest reliability was generally poor, ranging from −0.02 to 0.40, and Aβ42 significantly increased from time 1 to time 2. Conclusion Healthy collegiate athletes express concussion-related serum biomarkers in variable concentrations. Accounting for demographic factors such as sex and race is essential. Evidence suggested poor reliability for serum biomarkers; however, understanding how other factors influence biomarker expression, as well as knowledge of reliable change metrics, may improve clinical interpretation and future study designs.
Control and operation of a hybrid HVDC integrating wind farm based on SB-MMC and LCC

: To integrate offshore wind power, a hybrid high-voltage DC (HVDC) system consisting of the self-blocking modular multilevel converter (SB-MMC) and line commutated converter (LCC) is investigated. The SB-MMC is installed at the sending end to support the wind farm and the LCC is installed at the power grid side. The start-up strategy of the hybrid system is studied. To eliminate the transients during start-up, a virtual limiting resistor is introduced for the LCC and a grouping sequentially charging method is proposed for the SB-MMC. The DC fault behaviour and isolation of the hybrid system is analysed. The response during AC fault and commutation failure at LCC is considered. Finally, the feasibility of start-up, DC fault isolation and AC fault ride through of the hybrid HVDC system is veri ﬁ ed by simulations in power systems computer-aided design/electro-magnetic transient design and control.
Optimal Resource Allocation for Uplink OFDMA in 802.11ax Networks

In this paper, we study the scheduling and resource allocation problem for uplink OFDMA in IEEE 802.11ax WLANs. The OFDMA resource allocation problem for 802.11ax is inherently difficult to solve because consecutive subcarriers are grouped into resource units, and every user is assigned to one resource unit at most. However, since power in the uplink is allocated to each user individually, the instantaneous utility maximisation problem can be formulated as an assignment problem, and hence, solved in polynomial time by the Hungarian algorithm. In order to provide long-term performance guarantees, we focus on maximizing the utility of average user rates subject to both peak and average power constraints, and solve the problem using Lyapunov optimization. To the best of our knowledge, this is the first work that provides a comprehensive utility optimization framework for uplink OFDMA in 802.11ax networks.
Predicting Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: Combined Statistical Modeling Using Clinicopathological Factors and FDG PET/CT Texture Parameters

Purpose The aim of this study was to develop a combined statistical model using both clinicopathological factors and texture parameters from 18F-FDG PET/CT to predict responses to neoadjuvant chemotherapy in patients with breast cancer. Materials and Methods A total of 435 patients with breast cancer were retrospectively enrolled. Clinical and pathological data were obtained from electronic medical records. Texture parameters were extracted from pretreatment FDG PET/CT images. The end point was pathological complete response, defined as the absence of residual disease or the presence of residual ductal carcinoma in situ without residual lymph node metastasis. Multivariable logistic regression modeling was performed using clinicopathological factors and texture parameters as covariates. Results In the multivariable logistic regression model, various factors and parameters, including HER2, histological grade or Ki-67, gradient skewness, gradient kurtosis, contrast, difference variance, angular second moment, and inverse difference moment, were selected as significant prognostic variables. The predictive power of the multivariable logistic regression model incorporating both clinicopathological factors and texture parameters was significantly higher than that of a model with only clinicopathological factors (P = 0.0067). In subgroup analysis, texture parameters, including gradient skewness and gradient kurtosis, were selected as independent prognostic factors in the HER2-negative group. Conclusions A combined statistical model was successfully generated using both clinicopathological factors and texture parameters to predict the response to neoadjuvant chemotherapy. Results suggest that addition of texture parameters from FDG PET/CT can provide more information regarding treatment response prediction compared with clinicopathological factors alone.
Dependence of Anterior Active Rhinomanometry Indices on Nasal Obstructive Disorders in Children with Atopic Bronchial Asthma Complicated by Nasal Symptoms

Background Atopic bronchial asthma (BA) in children is associated with upper airways pathology (UAP). Among them, a combination of allergic rhinitis (AR) and nasal obstructive disorders (NOD), including hypertrophy of the pharyngeal tonsil (HPT) and anomalies of the intranasal structures (AINS), is abundant. In such patients, anterior active rhinomanometry (AARM) is an important method of examining nasal patency. However, NOD can influence the AARM parameters in children with BA and nasal symptoms, and this effect must be taken into account in clinical practice. Study goal was to elucidate the effect of NOD on rhinomanometric parameters in this group of patients. Methods Total of 66 children with BA and AR were examined with AARM, rhinovideoendoscopy, spirometry, and standard clinical tests allowing revealing the structure of comorbid pathologies. In order to avoid the influence of anthropometric parameters of children and their age on AARM parameters, a special index of reduced total nasal airflow was used. Results It has been established that NOD, especially HPT, have a significant negative impact on the indices of anterior active rhinomanometry during the periods of both AR remission and AR exacerbation. The effect of AINS is much weaker and was remarkable only in combination with HPT.
Compounded Disturbance Chronology Modulates the Resilience of Soil Microbial Communities and N-Cycle Related Functions

There is a growing interest of overcoming the uncertainty related to the cumulative impacts of multiple disturbances of different nature in all ecosystems. With global change leading to acute environmental disturbances, recent studies demonstrated a significant increase in the possible number of interactions between disturbances that can generate complex, non-additive effects on ecosystems functioning. However, how the chronology of disturbances can affect ecosystems functioning is unknown even though there is increasing evidence that community assembly history dictates ecosystems functioning. Here, we experimentally examined the importance of the disturbances chronology in modulating the resilience of soil microbial communities and N-cycle related functions. We studied the impact of 3-way combinations of global change related disturbances on total bacterial diversity and composition, on the abundance of N-cycle related guilds and on N-cycle related activities in soil microcosms. The model pulse disturbances, i.e., short-term ceasing disturbances studied were heat, freeze-thaw and anaerobic cycles. We determined that repeated disturbances of the same nature can either lead to the resilience or to shifts in N-cycle related functions concomitant with diversity loss. When considering disturbances of different nature, we demonstrated that the chronology of compounded disturbances impacting an ecosystem determines the aggregated impact on ecosystem properties and functions. Thus, after 3 weeks the impact of the ‘anoxia/heat/freeze-thaw’ sequence was almost two times stronger than that of the ‘heat/anoxia/freeze-thaw’ sequence. Finally, we showed that about 29% of the observed variance in ecosystem aggregated impact caused by series of disturbances could be attributed to changes in the microbial community composition measured by weighted UniFrac distances. This indicates that surveying changes in bacterial community composition can help predict the strength of the impact of compounded disturbances on N-related functions and properties.
Multiple Regression Analysis Reveals MicroRNA Regulatory Networks in Oryza sativa under Drought Stress

Drought is a major abiotic stress that reduces rice development and yield. miRNAs (microRNAs) are known to mediate posttranscriptional regulation under drought stress. Although the importance of individual miRNAs has been established, the crosstalks between miRNAs and mRNAs remain unearthed. Here we performed microarray analysis of miRNAs and matched mRNA expression profiles of drought-treated rice cultivar Nipponbare. Drought-responsive miRNA-mRNA regulations were identified by a combination of a partial least square (PLS) regression approach and sequence-based target prediction. A drought-induced network with 13 miRNAs and 58 target mRNAs was constructed, and four miRNA coregulatory modules were revealed. Functional analysis suggested that drought-response miRNA targets are enriched in hormone signaling, lipid and carbohydrate metabolism, and antioxidant defense. 13 candidate miRNAs and target genes were validated by RT-qPCR, hierarchical clustering, and ROC analysis. Two target genes (DWARF-3 and P0651G05.2) of miRNA coregulatory modules were further verified by RLM-5′ RACE. Together, our integrative study of miRNA-mRNA interaction provided attractive candidates that will help elucidate the drought-response mechanisms in Oryza sativa.
Effect of Starter Culture and Low Concentrations of Sodium Nitrite on Fatty Acids, Color, and Escherichia coli Behavior during Salami Processing

The reduction of NaNO2 and safety in meat products have been a concern to the meat industry for the last years. This research evaluated the changes in total fatty acids (TFAs) and myoglobin forms by adding starter culture (Lactobacillus sakei/Staphylococcus carnosus) and 50 ppm of NaNO2 during salami processing. In the postripening stage, the starter culture influenced the concentration of the palmitic, oleic, vaccenic, and γ-linolenic TFAs, whereas the metmyoglobin concentration was lower (which could be related to the antioxidant effect of the starter culture). In this stage, an increase in enthalpy, specific heat, and onset temperature was found when adding starter culture and NaNO2, which is directly related to polyunsaturated TFA. However, when adding just the starter culture without 50 ppm NaNO2, the E. coli population was reduced in 4 log CFU/g. This study proposes the analysis of changes in meat product processing like salami in a holistic form, where the application of starter culture with low nitrite concentrations could be in the meat industry an upward trend for reducing this additive.