Miracle-dz/UniFAR-FTUs huggingface dataset:
Stellate ganglion block rectifies excessive daytime sleepiness: a case report

Excessive daytime sleepiness (EDS) is classified as a neurofunctional disorder that manifests as uncontrolled sleeping propensity in the daytime. Currently, consistent and effective therapeutic approaches for EDS are lacking. Stellate ganglion block (SGB) has a clear effect in various complicated pain syndromes, vascular insufficiency, hyperhidrosis, and posttraumatic stress syndrome. We report an EDS case that involved a patient who recovered after several sessions of SGB.
Effect of live yeast supplementation and feeding frequency in male finishing pigs subjected to heat stress

Abstract In growing pigs, reduced growth during heat stress (HS) is mainly related to decreased feed intake. The study aimed to determine whether the reported positive effects of live yeast (LY) supplementation in HS pigs were due to a modified feeding behaviour or energy metabolism, and if these can be replicated by imposing an increased meal frequency. The effect of LY supplementation (0 (NS) v. 100 (LY) g/ton of feed), and of feeding window (FW) (unlimited or Unli, 2FW of 1 h each and 8FW of 15 min each) were measured in entire male finishing pigs (n 36). Ambient temperature was at 22°C during the thermoneutral (TN) period (5 d) and at 28°C during the HS period (5 d). Heat exposure decreased DM intake (DMI) and retained energy (RE) (–627 and −460 kJ·kg BW–0·60 · d–1, respectively; P < 0·01). During HS, LY supplementation in Unli pigs decreased inter-meal intervals (P = 0·02) attenuating HS effect on DMI which tended to improve RE (P = 0·09). NS – 8FW had higher DMI and RE than NS – 2FW (P < 0·05) but protein deposition (PD) were similar. Supplemented pigs had higher PD during HS regardless of FW (+18 g · d–1; P = 0·03). Comparing the 2FW groups, improved heat tolerance of LY-supplemented pigs were due to improved insulin sensitivity (P < 0·05) and latent heat loss capacity after a meal (P < 0·05) allowing them to increase their DMI (via an increased number of meals) and thus their energy efficiency. Imposing an increased meal frequency improved DMI in HS pigs but did not replicate positive effects of LY on PD.
Authentic for Thee But Not for Me: Perceived Authenticity in Self-Control Conflicts

Is self-control authentic? Across several hypothetical scenarios, participants perceived impulsive actions as more authentic for others (Study 1a) but self-control as more authentic for themselves (Study 1b). Study 2 partially replicated this asymmetry. Study 3 accounted for behavior positivity because self-control was typically the more positive action in the previous studies. Study 4 minimized the influence of positivity by framing the same behaviors as either impulsive or controlled; impulsive actions were deemed more authentic than self-control, but only for other people. An internal meta-analysis controlling for behavior positivity revealed that (a) more positive behaviors are more authentic, and (b) impulsive actions are more authentic than self-controlled actions, especially for others. This actor–observer asymmetry suggests that, even in the face of a strong tendency to perceive positive actions as authentic, there exists a competing tendency to view others’ impulsive actions as more authentic than self-control.
Transcriptional signature of TP53 biallelic inactivation identifies a group of multiple myeloma patients without this genetic condition but with dismal outcome

Biallelic inactivation of TP53 has been included in the definition of double‐hit (DH) multiple myeloma (MM), which entails an ominous prognosis. However, this condition, or even the presence of high‐risk cytogenetic abnormalities, cannot accurately capture the 15%–20% of the MM population with a median overall survival below 24 months. This prompted us to look for other MM patients who might have transcriptional characteristics similar to those with DH‐TP53. In the present study, we analysed RNA‐seq, whole‐genome and whole‐exome sequencing data from 660 newly diagnosed MM (NDMM) patients from the MMRF (Multiple Myeloma Research Foundation) CoMMpass study to characterize the transcriptional signature of TP53 double‐hit (DH‐TP53) MM. We found 78 genes that were exclusively deregulated in DH‐TP53 patients. A score based on these genes identified a group of 50 patients who shared the same transcriptional profile (DH‐TP53‐like group) whose prognosis was particularly unfavourable [median overall survival (OS) < 2 years], despite not harbouring the biallelic inactivation of TP53. The prognostic value of the DH‐TP53 score was externally validated using gene expression data from 850 NDMM patients analysed by microarrays. Furthermore, our DH‐TP53 score refined the traditional prognostic stratification of MM patients according to the cytogenetic abnormalities and International Staging System (ISS).
TRAUMA-DERIVED EXTRACELLULAR VESICLES ARE SUFFICIENT TO INDUCE ENDOTHELIAL DYSFUNCTION AND COAGULOPATHY

ABSTRACT—Introduction Although a number of studies have demonstrated increased release of extracellular vesicles (EVs) and changes in their origin differentials after trauma, the biologic significance of EVs is not well understood. We hypothesized that EVs released after trauma/hemorrhagic shock (HS) contribute to endotheliopathy and coagulopathy. To test this hypothesis, adoptive transfer experiments were performed to determine whether EVs derived from severely injured patients in shock were sufficient to induce endothelial dysfunction and coagulopathy. Methods: Total EVs were enriched from plasma of severely injured trauma/HS patients or minimally injured patients by ultracentrifugation and characterized for size and numbers. Under isoflurane anesthesia, noninjured naive C57BL/6J mice were administered EVs at varying concentrations and compared with mice receiving equal volume vehicle (phosphate-buffered saline (PBS)) or to mice receiving EVs from minimally injured patients. Thirty minutes after injection, mice were sacrificed, and blood was collected for thrombin generation (thrombin-antithrombin, thrombin-antithrombin complex [TAT] assay) and syndecan-1 by enzyme-linked immunoabsorbent assay (ELISA). Lungs were harvested for examination of histopathologic injury and costained with von Willebrand factor and fibrin to identify intravascular coagulation. Bronchial alveolar lavage fluid was aspirated from lungs for protein measurement as an indicator of the endothelial permeability. Data are presented as mean ± SD, P < 0.05 was considered significant, and t test was used. Results: An initial proof-of-concept experiment was performed in naive mice receiving EVs purified from severely injured trauma/HS patients (Injury Severity Score [ISS], 34 ± 7) at different concentrations (5 × 106 to 3.1 × 109/100 μL/mouse) and compared with PBS (control) mice. Neither TAT nor syndecan-1 levels were significantly different between groups at 30 minutes after EV infusion. However, lung vascular permeability and histopathologic injury were significantly higher in the EV group, and lung tissues demonstrated intravascular fibrin deposition. Based on these data, EVs from severely injured trauma/HS patients (ISS, 32 ± 6) or EVs from minimally injured patients (ISS, 8 ± 3) were administered to naive mice at higher concentrations (1 × 109 to 1 × 1010 EV/100 μL/mouse). Compared with mice receiving EVs from minimally injured patients, plasma TAT and syndecan-1 levels were significantly higher in the trauma/HS EV group. Similarly, bronchial alveolar lavage protein and lung histopathologic injury were higher in the trauma/HS EV group, and lung tissues demonstrated enhanced intravascular fibrin deposition. Conclusion: These data demonstrate that trauma/HS results in the systemic release of EVs, which are capable of inducing endotheliopathy as demonstrated by elevated syndecan-1 and increased permeability and coagulopathy as demonstrated by increased TAT and intravascular fibrin deposition. Targeting trauma-induced EVs may represent a novel therapeutic strategy.
Infrastructure-Based Sensors Augmenting Efficient Autonomous Vehicle Operations: Preprint

Autonomous vehicle technology development relies on an on-board network of fused sensor inputs for safe and efficient operation. The fused sensors offer multiple perspectives of similar information aiding in system decision robustness. The high cost of full systems on individual vehicles is seen as a potential barrier to broad adoption and achieving system energy efficiency gains. Since traffic intersections pose the greatest probability of accident leading to congestion and energy waste, this paper proposes the use of infrastructure-based sensors providing bird’s-eye intersection visibility to all vehicles within the vicinity. This data sharing strategy would enhance the robustness of autonomous vehicle decisions and provide connected vehicles and their operators with augmented visibility enhancing the opportunity to reduce accidents, congestion and in the end improve traffic flow and system energy efficiency.
Low Energy X-Ray Transmission Grating Spectrometer For AXAF

The proposed grating spectrometer for the Advanced X-Ray Astrophysics Facility (AXAF) covers the wavelength region between 2 and 140 Å. The wavelength resolution Δλ = 0.05 Å. The effective sensitive area as a function of wavelength is discussed. To illustrate the expected performance of the spectrometer some simulated spectra of a few interesting astrophysical objects are presented.
Osteoblast Lineage Support of Hematopoiesis in Health and Disease

In mammals, hematopoiesis migrates to the bone marrow during embryogenesis coincident with the appearance of mineralized bone, where hematopoietic stem cells (HSCs) and their progeny are maintained by the surrounding microenvironment or niche, and sustain the entirety of the hematopoietic system. Genetic manipulation of niche factors and advances in cell lineage tracing techniques have implicated cells of both hematopoietic and nonhematopoietic origin as important regulators of hematopoiesis in health and disease. Among them, cells of the osteoblast lineage, from stromal skeletal stem cells to matrix‐embedded osteocytes, are vital niche residents with varying capacities for hematopoietic support depending on stage of differentiation. Here, we review populations of osteoblasts at differing stages of differentiation and summarize the current understanding of the role of the osteoblast lineage in supporting hematopoiesis. © 2022 American Society for Bone and Mineral Research (ASBMR).
Effect of Normal Breathing on the Movement of CSF in the Spinal Subarachnoid Space

BACKGROUND AND PURPOSE: Forced respirations reportedly have an effect on CSF movement in the spinal canal. We studied respiratory-related CSF motion during normal respiration. MATERIALS AND METHODS: Six healthy subjects breathed at their normal rate with a visual guide to ensure an unchanging rhythm. Respiratory-gated phase-contrast MR flow images were acquired at 5 selected axial planes along the spine. At each spinal level, we computed the flow rate voxelwise in the spinal canal, together with the associated stroke volume. From these data, we computed the periodic volume changes of spinal segments. A phantom was used to quantify the effect of respiration-related magnetic susceptibility changes on the velocity data measured. RESULTS: At each level, CSF moved cephalad during inhalation and caudad during expiration. While the general pattern of fluid movement was the same in the 6 subjects, the flow rates, stroke volumes, and spine segment volume changes varied among subjects. Peak flow rates ranged from 0.60 to 1.59 mL/s in the cervical region, 0.46 to 3.17 mL/s in the thoracic region, and 0.75 to 3.64 mL/s in the lumbar region. The differences in flow rates along the canal yielded cyclic volume variations of spine segments that were largest in the lumbar spine, ranging from 0.76 to 3.07 mL among subjects. In the phantom study, flow velocities oscillated periodically during the respiratory cycle by up to 0.02 cm/s or 0.5%. CONCLUSIONS: Respiratory-gated measurements of the CSF motion in the spinal canal showed cyclic oscillatory movements of spinal fluid correlated to the breathing pattern.
Maximum home blood pressure and cardiovascular outcomes in patients with type 2 diabetes: KAMOGAWA-HBP study

Objective: The maximum blood pressure was reported as a possible marker of organ damage. We previously showed that maximum home blood pressure was significantly associated with development of diabetic nephropathy. In the same cohort of patients with diabetes as in the previous study, this study aimed to evaluate the prognostic blood pressure values for the onset of first cardiovascular events. Methods: This retrospective cohort study included 1082 patients with type 2 diabetes (47.0% female, median age 65.0) without a history of macrovascular complications. Blood pressure measurements were performed in triplicates every morning and evening for 14 consecutive days from the start of the study. Cox hazards model was used to evaluate the risk of primary endpoint, which was defined as the onset of first major cardiovascular event. Results: The primary endpoint occurred in 119 patients (incidence rate, 15.7/1000 person-years) during an average of 7.0-year follow-up. The adjusted hazard ratios (95% confidence interval [CI]) of maximum morning systolic blood pressure (SBP) and maximum evening SBP for cardiovascular events were 1.12 (1.01–1.24) and 1.19 (1.07–1.31), respectively, adjusted by sex, duration of diabetes, body mass index, hemoglobin A1c, low density lipoprotein cholesterol, smoking status, and use of antihypertensive medications. The cutoff values of maximum blood pressure for the events were 150 mmHg in the morning (hazard ratio, 1.73; 95% CI, 1.07–2.81) and 157 mmHg in the evening (hazard ratio, 2.30; 95% CI, 1.46–3.61), using the Youden's index. Conclusion: Maximum home blood pressure is a predictor of subsequent cardiovascular events in patients with type 2 diabetes.
Study on the Effect of Adhesive Systems on Physical and Mechanical Behaviour of Kenaf Fiber Reinforced Beech Wood

Kenaf fiber-reinforced beech plywood was evaluated with 5variantmanufacturing adhesive methods in order to increase its acceptance in the wider industrial use. We aimed in enhancing the mechanical characteristics of beech wood kenaf fiber-reinforced using epoxy resin, Urea-formaldehyde, Melamine urea-formaldehyde, isocyanate MDI prepolymer and polyurethane and exhibited diverse effects. Tensile strength, Modulus of Elasticity, Modulus of Rupture, Shear Strength and Screw withdrawal resistance were enhanced by urea formaldehyde, while tensile strength was decreased by Urea Formaldehyde, Melamine Urea-Formaldehyde and isocyanate prepolymer. Epoxy resin, on the other hand, is well suited for kenaf fibre reinforcing. For example, polyurethane reduced the mechanical characteristics of kenaf fibre reinforced beech wood. Shear strength, Modulus of Elasticity and Modulus of Rupture were all superior than glass fibre reinforced epoxy resin bound beech wood.
Fault Early Warning of Wind Turbine Generator based on Residual Autoencoder Network

The condition monitoring and fault Early Warning of wind turbine can find its faults early and reduce its failure rate and maintenance cost. This paper presents a fault diagnosis method of wind turbine generator based on residual autoencoder network (RAE). The proposed RAE has an autoencoder network structure. The encoding network is responsible for extracting the feature vector reflecting the distribution law of supervisory control and data acquisition (SCADA) data, the decoding network is responsible for reconstructing SCADA data according to the feature vector, and training the RAE network according to the reconstruction error of input data and reconstructed data. There are several shortcut connections between the corresponding layers of the encoder and decoder of the RAE. Shortcut connections introduce the shallow features in the encoder into the decoder and combines them with the deep semantic features in the decoder. Moreover, the shortcut connections allow the network to get additional supervision during back propagation process, avoiding the problem of gradient disappearance. Through the simulation analysis of the recorded data before and after generator fault, the effectiveness of the proposed RAE network for wind turbine generator fault diagnosis is verified.
Research on used car valuation problem based on model fusion

In recent years, with the rapid development of the automobile industry, the trading volume of second-hand cars in our country has grown rapidly. However, with the continuous expansion of the second-hand car market, a scientific and reasonable evaluation system or unified standard has not yet been formed in the second-hand car market, which makes the second-hand car trading market lack credibility and restricts its development of the second-hand car trading market. Therefore, it is particularly important to establish a reasonable and perfect second-hand car valuation method. In this paper, GBDT, LightGBM, and XGBoost models are introduced into the field of the used car valuation, and by analyzing the influence of body infrastructure and vehicle conditions, a used car valuation model based on the fusion of GBDT, LightGBM, and XGBoost is constructed. Then it conducts in-depth analysis and research on the problem of used car valuation. At the same time, to verify the advantages and rationality of the model proposed in this paper, the used car valuation model based on the fusion of GBDT, LightGBM and XGBoost is compared and analyzed with random forest, KNN, linear regression, and other models. Finally, after verification, the proposed model based on GBDT, LightGBM, and XGBoost fusion can significantly improve the prediction accuracy, and under the self-defined model evaluation standard in this paper, the model recognition accuracy is up to 89%, which has good practical value.
Interview ready: A student-led artistic project as an authentic experience to support pre-service music teachers’ pathways to employment

Facilitating the development of employable graduates is an important part of initial teacher education (ITE) courses globally. School administrators seek to employ high quality teachers who will contribute positively to student learning and the school community. The perception of a candidate’s level of employability in a job interview though, will influence the outcome of their application significantly. ITE graduates should therefore endeavour to be interview ready as this is a crucial step towards being employed. We investigated the impact that a student-led artistic project had on the development of Australian ITE music teachers’ interview readiness and employability. Data were collected via three focus groups and one semi-structured individual interview. The data indicated that the artistic project experience contributed positively to the development of relevant skills and understandings which supported participants’ interview readiness and employability. Two major themes emerged- the authenticity of the artistic project and the transferability of the skills and understandings learned into an imagined or current school context, including the job interview process. The findings suggest that ITE music courses should include more authentic experiences to develop their students’ professional ‘soft’ skills and interview readiness. This will support their preparation for the employment process and their professional duties.
An informed long-term forecasting method for electrical distribution network operators

Northern Powergrid (NPG) is an electrical distribution network operator in the UK servicing Yorkshire and the Northeast of England. Currently they produce long-term eight year forecasts for each substation on the network with an emphasis on an annual maximum demand (MD) figure. The current method used by NPG is thought to oversimplify the problem and does not give enough insight into changes in substation demand. In order to inform their current forecast, the novel CL-ANFIS method uses a combination of machine learning techniques for both forecasting and general insight to the drivers of demand. Also introduced here are novel techniques for determination of MD at NPG and methods for handling load transfer periods. In order to address a problem of this size, a twofold approach is taken. One is to address the drivers of demand such as weather, economic or demographic data sets through the use of statistics and machine learning techniques. The other is to address the long-term forecasting problem with a transparent technique that can aid in explaining the drivers of demand on any given substation. Techniques used include cluster analysis on demographic data sets in addition to ANFIS as a forecasting method. The results of the novel CL-ANFIS method are compared against the current NPG forecast and show how more insight into substation demand profiles can drive the decision-making process. This is done through a combination of using a tailored customer database for NPG and leveraging the information provided by the membership functions of ANFIS.
Modular Methods for Solving Nonlinear Polynomial Systems

Solving polynomial systems is a problem frequently encountered in many areas of mathematical sciences and engineering. In this thesis we discuss how well-known algebraic tools and techniques can be combined in order to design new efficient algorithms for solving systems of non-linear equations symbolically. G. Collins (1971) invented a method to compute resultants by means of the Chinese Remainder Algorithm (CRA). In addition, M. van Hoeij and M. Monagan (2002) described a modular method for computing polynomial greatest common divisors over algebraic number fields, also via CRA. We observe that merging these two algorithms produces a modular method for solving bivariate polynomial systems. Then, we generalize this method for solving trivariate polynomial systems. We report on an implementation of this approach in the computer algebra system Maple. Our experimental results illustrate the efficiency of this new method.
Aplicando uma Metodologia Baseada em Evidência na Definição de Novas Tecnologias de Software

A introdução de tecnologias de software recém-definidas no contexto industrial pode trazer conseqüências indesejáveis caso a tecnologia não possua um grau adequado de maturidade. Nesse sentido, o presente artigo visa a ilustrar como a utilização de uma metodologia baseada em evidência pode auxiliar a minimizar essa situação. A utilização de tal metodologia é ilustrada através de dois casos concretos relacionados à definição e à avaliação experimental de uma técnica de leitura de requisitos de software e de uma abordagem para inspeção de documentos arquiteturais. Além disso, são discutidas as principais lições aprendidas do uso de tal metodologia.
The Use of Personal Pronoun in Political Discourse: A Case Study of the Final 2016 United States Presidential Election Debate

This study aims to investigate the use of personal pronouns in political speeches made by Donald Trump and Hilary Clinton in the 2016 US Presidential Election Debates. The focus is on uses of the first personal pronouns 'we' and 'I' as strategies to express persuasive messages and political ideologies especially the inclusion and exclusion of the participants’ 'self' and 'group’ reference. The data were selected from the TV broadcasted American Presidential Debate between Mr. Donald Trump and Mrs. Hillary Clinton on October 19, 2016. Textual and discourse analysis were adopted in order to examine in what context each first personal pronoun was used in the speeches. The findings reveal that the occurrences of the pronouns 'we' and 'I' in the speeches of both participants’ diﬀer and the uses of each pronoun in certain contexts also diﬀer significantly. The diﬀerent pronominal choices in diﬀerent contexts in the debates express diﬀerences in the persuasive strategies and political ideologies of the two candidates.