Miracle-dz/UniFAR-FTUs huggingface dataset:
Streptozotocin-Induced Type 1 and 2 Diabetes Mellitus Mouse Models Show Different Functional, Cellular and Molecular Patterns of Diabetic Cardiomyopathy

The main cause of morbidity and mortality in diabetes mellitus (DM) is cardiovascular complications. Diabetic cardiomyopathy (DCM) remains incompletely understood. Animal models have been crucial in exploring DCM pathophysiology while identifying potential therapeutic targets. Streptozotocin (STZ) has been widely used to produce experimental models of both type 1 and type 2 DM (T1DM and T2DM). Here, we compared these two models for their effects on cardiac structure, function and transcriptome. Different doses of STZ and diet chows were used to generate T1DM and T2DM in C57BL/6J mice. Normal euglycemic and nonobese sex- and age-matched mice served as controls (CTRL). Immunohistochemistry, RT-PCR and RNA-seq were employed to compare hearts from the three animal groups. STZ-induced T1DM and T2DM affected left ventricular function and myocardial performance differently. T1DM displayed exaggerated apoptotic cardiomyocyte (CM) death and reactive hypertrophy and fibrosis, along with increased cardiac oxidative stress, CM DNA damage and senescence, when compared to T2DM in mice. T1DM and T2DM affected the whole cardiac transcriptome differently. In conclusion, the STZ-induced T1DM and T2DM mouse models showed significant differences in cardiac remodeling, function and the whole transcriptome. These differences could be of key relevance when choosing an animal model to study specific features of DCM.
Computation of turbulent, separated, unswept compression ramp interactions

Examination of the literature shows that the comparison between experiment and computation for highly separated unswept compression ramp flows is generally poor, irrespective of the turbulence model used. In general, the upstream influence is not correct, the wall pressure rise through separation is too steep, and the pressures under the separated shear layer are too high. In the current study, the objective is to determine if these discrepancies might be attributed more to other factors such as flowfield unsteadiness or three-dimensionality, rather than to inadequate turbulence modeling. To examine this possibility, multichannel wall pressure fluctuations were measured under the unsteady separation shock wave in a 28 deg unswept compression ramp flow at Mach 5. The results show that the large scale, low frequency separation shock unsteadiness controls the distribution of time-averaged surface properties and that neglect of the unsteadiness is probably the primary cause of the discrepancy between experiment and computation.
Free energy of rectangular domains at criticality

The authors calculate the universal part F of the free energy of rectangular domains at critical points by use of conformal field theory. F includes a term logarithmic in the size (or area), due to the corners. In addition, there is a term F0 depending on the aspect ratio, which they determine by integrating the stress tensor (T) over the rectangle. This term involves complete elliptic integrals, but may be more simply expressed in terms of the Dedekind eta -function. For central charge c>0, they find that F0 is maximal for squares, providing a thermodynamic driving force for the elongation of small domains, and argue that this should be a general tendency.
PNI-Based Nomograms to Predict Tumor Progression and Survival for Patients with Unresectable Hepatocellular Carcinoma Undergoing Transcatheter Arterial Chemoembolization

Background: The relationship between the prognostic nutritional index (PNI) and the prognosis of malignancy has been increasingly mentioned in recent research. This study aimed to construct nomograms based on the PNI to predict tumor progression and survival in patients with unresectable hepatocellular carcinoma (HCC) undergoing transcatheter arterial chemoembolization (TACE). Materials and Methods: The development set included 785 patients who underwent their first TACE between 2012 and 2016, and the validation set included 336 patients who underwent their first TACE between 2017 and 2018. The clinical outcomes included the time to progression (TTP) and overall survival (OS). Cox regression was applied to screen for independent risk factors of TTP and OS in the development set, and PNI-based nomograms were constructed for TTP and OS. The predictive performance of nomograms was conducted through the C-index, calibration curves, and decision analysis curves in the development set and validation set. Results: After multivariate analysis, the prognostic predictors of both TTP and OS included portal vessel invasion, extrahepatic metastasis, tumor number, alpha-fetoprotein (AFP) level, longest tumor diameter, and PNI. Furthermore, the Child–Pugh classification and platelets (PLTs) were independent risk factors for OS only. Nomograms for predicting TTP and OS were constructed using TTP and OS prognostic factors. In the development set and the validation set, the C-index of the TTP nomograms was 0.699 (95% confidence interval (CI): 0.680–0.718) and 0.670 (95%CI: 0.638–0.702), and the C-index of the OS nomograms was 0.730 (95%CI: 0.712–0.748) and 0.700 (95%CI: 0.665–0.723), respectively. Conclusion: Nomograms based on the PNI can effectively predict tumor progression and survival in patients with unresectable HCC undergoing TACE.
Field Performance of Rain Garden in Red Soil Area in Southern China

Sponge City, as a new concept in urban stormwater management, utilizes on-site or local hydrologic processes for runoff control and therefore is highly dependent on the geographical location (soil type) and site-specific climatic conditions. Field studies are valuable because of the insufficient quantity of field performance data in low-impact development (LID)-related research. Rain gardens are recommended for LID to manage stormwater. A rain garden was designed as a pilot project in Nanchang city, which is one of the typical red soil areas in southern China. Red soil is usually not conducive to runoff infiltration due to its low organic carbon, strong acidity and low permeability rainfall characteristics,but the permeability of the filter media layer is an important parameter in LID design.The construction depth of the rainwater garden was 600 mm, and 30% sand, 10% compost and 60% laterite were used as combined matrix; the permeability coefficient of medium layer was 1.48 × 10−5 m·s−1. Rainfall runoff control and pollutant removal efficiencies were studied based on the on-site conditions.The analysis of almost 2 years of field data showed that volume capture ratio of annual rainfall was 78.9%, the mean load removal of TSS, NH3-N, TP, TN, COD and NO3-N were 92.5%, 85.3%, 82.9%, 80.5%, 79.8% and 77.5%, respectively, which could meet the technical guidelines for sponge city construction in Nanchang. The research results could provide a basis for sponge city design in low organic carbon and low permeability areas.
The compressible inviscid algebraic instability for streamwise independent disturbances

An inviscid algebraic instability for streamwise independent disturbances in compressible flow is found to be related to Ellingsen and Palm’s [Phys. Fluids 18, 487 (1975)] solution for incompressible flow. For compressible flow, the streamwise disturbance velocity, the density, as well as temperature perturbations grow linearly with time. The effect of viscosity on the inviscid algebraic growth is clarified using a rescaling of the viscous disturbance equations, showing the dependence of the viscous transient growth on the Reynolds number.
Neurobiological Basis of Aversion-Resistant Ethanol Seeking in C. elegans

Persistent alcohol seeking despite the risk of aversive consequences is a crucial characteristic of alcohol use disorders (AUDs). Therefore, an improved understanding of the molecular basis of alcohol seeking despite aversive stimuli or punishment in animal models is an important strategy to understand the mechanism that underpins the pathology of AUDs. Aversion-resistant seeking (ARS) is characterized by disruption in control of alcohol use featured by an imbalance between the urge for alcohol and the mediation of aversive stimuli. We exploited C. elegans, a genetically tractable invertebrate, as a model to elucidate genetic components related to this behavior. We assessed the seb-3 neuropeptide system and its transcriptional regulation to progress aversion-resistant ethanol seeking at the system level. Our functional genomic approach preferentially selected molecular components thought to be involved in cholesterol metabolism, and an orthogonal test defined functional roles in ARS through behavioral elucidation. Our findings suggest that fmo-2 (flavin-containing monooxygenase-2) plays a role in the progression of aversion-resistant ethanol seeking in C. elegans.
Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings

Accurate estimation of state of health (SOH) is critical for the safe and efficient operation of lithium-ion batteries in electric transport tools. However, the random charge/discharge behaviors complicate online SOH estimation and discount estimation accuracy. To overcome this difficulty, this study presents an ensemble learning and voltage reconstruction-based SOH estimation framework through the incorporation of individual estimators and with the consideration of limited charging data. First, by analyzing more than 100 000 charging behaviors, the difficulty of feature extraction is addressed based on voltage distribution. Then, a voltage shape fitting method combing mechanistic and prognostic model is developed to reconstruct the constant current charge voltage, and the model parameters are identified by the moth-flame optimization algorithm. Next, the extreme learning machine and random forest are leveraged to estimate SOH preliminarily from the random discontinuous charging points with preferable diversity and high efficiency. On this basis, an induced ordered weighted averaging operator is exploited to efficiently integrate the individual learners and adaptively update the weight of each learner, thereby achieving better estimation than individual ones. The experimental results manifest that the SOH can be reliably estimated within an error of 3.42% using only 20 random samplings.
Imidazole–Imidazole Hydrogen Bonding in the pH-Sensing Histidine Side Chains of Influenza A M2

The arrangement of histidine sidechains in influenza A M2 tetramer determines their pKa values, which define pH controlled proton conduction critical to the virus lifecycle. Both water associated and hydrogen bonded Imidazole–Imidazolium histidine quaternary structures have been proposed, based on crystal structures, and NMR chemical shifts, respectively. Here we show, using the conduction domain construct of M2 in lipid bilayers, that the imidazole rings are hydrogen bonded even at a pH of 7.8 in the neutral charge state. An intermolecular 8.9 ± 0.3 Hz 2hJNN hydrogen bond is observed between H37 Nε and Nδ recorded in a fully protonated sample with 100 kHz magic-angle spinning. This interaction could not be detected in the drug-bound sample.
Photoelectric magnitudes and polarization data for possible BL Lacertae objects

Photoelectric UBV magnitudes and polarization data are given for a sample of radio sources with continuous or weak-lined optical spectra which are possible BL Lacertae objects. The majority show optical variability and significant variable polarization. If no extended optical component is visible, the mean colors are consistent with these objects having power-law spectra F (.nu.) proportional.nu. /sup -//sup alpha/, where +0.7<. cap alpha. <+2.4; the most negative indices are likely to be spurious because of the effect of an unseen extended component. Objects with and without visible extended components are separated on a plot of spectral index against apparent magnitude. It is shown to be difficult to adopt a useful sharp definition of a BL Lacertae object, and the similarity of this general class to the variable emission-line quasars is stressed. The separation of BL Lacertae objects from field stars on the (U: V)/(B: R) two-color diagram is suggested as a means of identification. (AIP)
Orthomodularity in dagger biproduct categories

Abramsky and Coecke [2] have recently introduced an approach to finite dimensional quantum mechanics based on strongly compact closed categories with biproducts. In this note it is shown that the projections of any object A in such a category forms an orthoalgebra Proj A. Sufficient conditions are given to ensure this orthoalgebra is an orthomodular poset. A notion of a preparation for such an object is given in [2], and it is shown that each preparation induces a finitely additive map from ProjA to the unit interval of the semiring of scalars for this category. The tensor product for the category is shown to induce an orthoalgebra bimorphism ProjA × ProjB → Proj(A ⊗ B) that shares some of the properties required of a tensor product of orthoalgebras. These results are established in a setting more general than that of strongly compact closed categories. Many are valid in dagger biproduct categories, others require also a symmetric monoidal tensor compatible with the dagger and biproduct structure. Examples are considered for several familiar strongly compact closed categories.
Who Should Not Be Surveilled for HCC Development after Successful Therapy with DAAS in Advanced Chronic Hepatitis C? Results of a Long-Term Prospective Study

Background and aims: The identification of patients with Hepatitis C Virus (HCV)-positive advanced chronic liver disease (aCLD) successfully treated by Direct Acting Antiviral Agents (DAAs) who really benefit from Hepatocellular Carcinoma (HCC) surveillance programs is still a matter of debate. We performed a long-term prospective cohort study on F3-F4 HCV-positive patients achieving Sustained Virologic Response (SVR) after DAAs treatment in order to identify patients who can safely suspend surveillance. Methods: 1000 patients with HCV-positive aCLD obtaining SVR by DAAs from January 2015 to December 2017 were divided into four groups according to baseline elastographic, ultrasonographic, clinical and biochemical features: (1) Group 1: 324 patients with Liver Stiffness Measurement (LSM) ≥ 9.5 ≤ 14.5 kPa, FIB-4 < 3.25 and APRI < 1.5 (2) Group 2: 133 patients with LSM ≥ 9.5 ≤ 14.5 kPa, FIB-4 ≥ 3.25 and/or APRI ≥ 1.5 (3) Group 3: 158 patients with LSM > 14.5 kPa, FIB-4 < 3.25 and APRI < 1.5 (4) Group 4: 385 patients with LSM > 14.5 kPa, FIB-4 ≥ 3.25 and/or APRI ≥ 1.5. FIB-4 and APRI scores were calculated at baseline and at SVR achievement. Each patient was surveiled twice-yearly by ultrasound for a median follow-up of 48 months. Results: among Group 1 patients, 1/324 (0.3%) developed HCC (0.09/100 patients/year [PY]), compared to 6/133 (4.5%) Group 2 patients (1.22/100 PY, p = 0.0009), 10/158 (6.3%) Group 3 patients (1.68/100 PY, p = 0.0001), 54/385 (14.0%) Group 4 patients (4.01/100 PY, p < 0.0001). HCC incidence was significantly lower in Group 2 compared to Group 3 (p = 0.004) and in Group 3 compared to Group 4 (p = 0.009). HCC risk fell in patients showing a decrease of FIB-4/APRI scores. Conclusions: the risk of HCC occurrence is negligible in about 90% of HCV-positive patients with baseline LSM ≥ 9.5 ≤ 14.5 kPa plus FIB-4 < 3.25 and APRI < 1.5 achieving SVR. Among this particular subset of patients, FIB-4/APRI scores may represent an accurate and inexpensive tool to distinguish patients not needing long-term HCC surveillance.
Self-similar models of magnetized accretion disks

Steady state models of magnetized accretion disks that power centrifugally driven outflows are presented. Self-similar solutions for Keplerian disks that are dominated by ambipolar diffusion are constructed and the analogous solutions for resistive disks are presented. In each case, it is shown that one can obtain steady state field configurations that match onto magnetically dominated, asymptotically super-Alfvenic wind solutions of the type considered by Blandford and Payne (1982). The application of these results to molecular disks associated with bipolar outflow sources is considered. 61 refs.
Is Whistleblowing an Ethical Practice?

Whistleblowing is susceptible to risks and ethical dilemmas in practice. It is not easy for members of an organization to become whistleblowers. The purpose of this study is to prove whether whistleblowing intention is a form of ethical practice. The empirical quantitative method was used for this study. The research samples were employees and auditors at the East Java Inspectorate. The use of Partial Least Square analysis techniques followed the collection of data through the distribution of questionnaires. The study results inform that whistleblowing intention was an ethical practice that was perceived and experienced by the whistleblower. Ethical sensitivity does not affect whistleblowing intention. In contrast, moral ethics, professional ethics, and ethical confidentiality affect whistleblowing intention. Ethical sensitivity has no effect because respondents believe that it is highly dependent on the sensitivity of the whistleblower’s attitude toward making decisions. The results of this study have contributed to strengthening the creation of a good whistleblowing system with definite legal protection guarantees provided by organizations and the state.
Constraints on accretion-ejection structures in young stars

This lecture reviews current observational constraints on theoretical models of accretion-driven ejection in young stars. Fundamental properties of jets (collimation scale, kinematics, variability, density, composition) and ejection/accretion ratios are presented and compared at various stages of star formation (Class 0, I, II). Mass-loss rate derivations and evidence for a broader wind component around the jet are also critically examined.
Optimal tests for parameter instability in the generalized method of moments framework

This paper presents optimal tests for parameter instability in the GMM framework. The new tests include tests that are optimal for both one-sided and two-sided alternatives. One of the optimal tests for two-sided alternatives is the GMM generalization of the test presented in Andrews and Ploberger (1994) for the likelihood framework. The new tests include a class of optimal tests that direct the test's power to specific locations in the sample. One of these optimal tests has the attractive feature of a normal distribution under the null hypothesis.
A Readout Circuit for MEMS Gas Sensor

In recent years, the application of gas sensors is becoming more and more extensive. Driven by potential applications such as the Internet of Things, its technology development direction begins with miniaturization, integration, modularization, and intelligence. However, there is a bottleneck in the research of interface circuits, which restricts the development of gas sensors in volume, power consumption, and intelligence. To solve this problem, a MEMS gas sensor interface circuit based on ADC technology is proposed in this paper. Under the condition of the Huahong 110 nm process, the working voltage is 3.3 V, the resistance change of 100 Ω~1 MΩ can be detected, the conversion error is in the range of 0.5~1%, and the maximum power consumption is 986 μW. The overall layout area is 0.49 × 0.77 mm2. Finally, the correctness of the circuit function is verified by post-layout simulation.
CWIWD-IPS: A Crowdsensing/Walk-Surveying Inertial/Wi-Fi Data-Driven Indoor Positioning System

Indoor positioning system plays a key role in location-based services since the widely used global navigation satellite system (GNSS) is denied in indoor scenarios. Crowdsensing or walking-surveying-based indoor positioning is proposed aiming at providing low-cost and high-efficient 3-D location. This article proposes a crowdsensing/walking-surveying 3-D indoor positioning system by fusing the crowdsensed inertial data and Wi-Fi fingerprinting samples using deep learning frameworks. A sine-wave-based step detector is used for pedestrian dead-reckoning (PDR) to generate original dense-trajectories. An enhanced optimization-based algorithm (Opt) and a smoothing-based algorithm (Smo) are proposed and evaluated to correct the original dense-trajectories into near-true dense-trajectories which are used to construct the inertial database and Wi-Fi radio map. A ResNet-based inertial neural network and a BiLSTM-based Wi-Fi fingerprinting neural network are trained on the constructed navigation database and combined by a Kalman filter to provide accurate and robust 3-D localization performance. The realistic experimental results among complex indoor environments demonstrate that the proposed algorithms are proved to achieve a precise 3-D indoor localization performance which is superior to several existing relative methods.
Polymer-based wearable nano-composite sensors: a review

Abstract The demand for stretchable, skin-mountable, and wearable strain sensors is burgeoning because they are required for several budding applications in various emerging fields, such as health monitoring, human-machine interfaces, wearable electronics, soft robotics, human motion detection, virtual reality (VR), and so forth. Recently, strain sensors based on composite materials comprising stretchable elastomer and conductive nano-filler have gathered attention on account of their ample flexibility, record stretchability, excellent durability, customizable characteristics for strain-sensing, and simpler fabrication techniques. This quality write-up discusses current developments in the field of flexible strain sensors (FSSs). We effectively summarized how advanced mechanisms, such as crack propagation, disconnection, and tunneling effect, which are quite different from traditional strain sensing techniques, are used to develop FSS. Various factors and their effects that need to be kept in mind while developing high-performance, high-quality FSSs are also debated. The performance of recently reported FSSs is comprehensively discussed, and the huge potential that FSSs hold has been comprehensively reviewed in this survey.