Miracle-dz/UniFAR-FTUs huggingface dataset:
BRD4 Inhibitor GNE-987 Exerts Anticancer Effects by Targeting Super-Enhancer-Related Gene LYL1 in Acute Myeloid Leukemia

Background AML (acute myeloid leukemia) is a common hematological malignancy in children with poor treatment effects and poor prognosis. Recent studies have shown that as a novel BRD4 (bromodomain containing 4) PROTACs (proteolysis targeting chimeras) degrader, GNE-987 can slow down the growth of various tumors and increase apoptosis, with promising clinical prospects. However, the function and molecular mechanism of GNE-987 in AML remain unclear. This study is aimed at investigating the therapeutic effect of GNE-987 on AML and its underlying mechanism. Methods The association between BRD4 and AML was assessed by studying public databases. After GNE-987 was added to AML cells, cell proliferation slowed down, the cycle was disturbed, and apoptosis increased. Western blotting was used to detect BRD2 (bromodomain containing 2), BRD3 (bromodomain containing 3), BRD4, and PARP (poly ADP-ribose polymerase) proteins. The effect of GNE-987 on AML cells was analyzed in vivo. RNA-seq (RNA sequencing) and ChIP-seq (chromatin immunoprecipitation sequencing) validated the function and molecular pathways of GNE-987 in processing AML. Results BRD4 expression was significantly elevated in pediatric AML samples compared with healthy donors. GNE-987 inhibited AML cell proliferation by inhibiting the cell cycle and inducing apoptosis. BRD2, BRD3, and BRD4 were consistent with decreased VHL (Von Hippel Lindau) expression in AML cells. In an AML xenograft model, GNE-987 significantly reduced the hepatosplenic infiltration of leukemia cells and increased the mouse survival time. Based on analysis of RNA-seq and ChIP-seq analyses, GNE-987 could target multiple SE- (super-enhancer-) related genes, including LYL1 (lymphoblastic leukemia 1), to inhibit AML. Conclusions GNE-987 had strong antitumor activity in AML. GNE-987 could effectively inhibit the expression of SE-related oncogenes including LYL1 in AML. Our results suggested that GNE-987 had broad prospects in the treatment of AML.
The Effect of Zataria multiflora Boiss Leaves Essential Oil on Some Pathogenic Bacteria as an Alternative for Conventional Antibiotics

Objectives: Zataria multiflora Boiss has been used as a conventional medicinal plant for treating infections in traditional medicine. Therefore, the aim of this work was to reveal the composition and antibacterial effect of Zataria multiflora leaves essential oil. Materials and Methods: Z. multiflora essential oil was isolated through two different methods: hydro isolation and steam isolation. Essential oil was analyzed by gas chromatography–mass spectrometry (GC/MS) and its composition was determined. The antibacterial effect of Z. multiflora essential oil was investigated on gram-positive (Staphylococcus aureus, Streptococcus mutants, Staphylococcus epidermidis) and gram-negative (Escherichia coli, Pseudomonas aeruginosa, Salmonella typhimurium) bacteria compared to that of 12 antibiotics. Results: The essential oil yields in hydro isolation and steam isolation methods were 2.33% and 0.33% respectively. Thirtyseven compounds were identified in the essential oil using GC/MS, among which carvacrol, thymol, linalool, p-cymene, decane, β-caryophyllene and γ-terpinene were the dominant compounds. Conclusions: Z. multiflora essential oil, at the concentration of 80 µL/mL, had a strong or similar antibacterial effect on S. aureus and S. typhimurium compared to the antibacterial effect of some of the antibiotics in the study.
Adaptive RF Fingerprints Fusion via Dual Attention Convolutions

In recent years, with the rise of intelligent hardware technology, the Internet of Things (IoT) has achieved rapid development and has been widely used in smart cities, smart power grids, industrial Internet, and other fields. The resulting security risks of IoT have attracted more and more attention. Being different from the traditional authentication that is based on MAC or security certificate, RF fingerprinting technology extracts fingerprints from the emissions of wireless transmitters. These fingerprints root in the hardware imperfection of the transmitting circuits and can be used for wireless device identification and authentication. RF fingerprinting can effectively enhance the security of the wireless network and has become a research focus in the field of IoT. However, how to learn and fuse multiple RF fingerprints is still an urgent problem to be solved. Inspired by the attention mechanism in the field of computer vision, an adaptive RF fingerprints fusion network (ARFNet) is proposed in this article, which is built on our dual attention convolution (DAConv) layer. This neural network can extract and adaptively fuse multiple RF fingerprints in a data-driven manner to obtain more discriminant features. In addition, a data augmentation method is also designed to effectively enhance the network’s robustness to channel variation and SNR variation. Extensive experimental results show that the proposed ARFNet combined with data augmentation can achieve 99.5% recognition accuracy on five USRP X310, and achieve 95.7% recognition accuracy on 56 ADS-B devices. Our source code has been released at https://github.com/zhangweifeng1218/Adaptive_RF_Fingerprinting.
Evaluation of Doppler and electroencephalographic changes in patients with postconcussion syndrome due to mild blast traumatic brain injury

Mild blast traumatic brain injury (mbTBI) often remains undiagnosed and untreated due to lack of treatment of patient, imperfect screening tools, unclear diagnostic criteria, and lack of means to objectify or visualize the injury. Objective: to investigate Doppler and electroencephalographic changes in patients with postconcussion syndrome (PCS) due to mbTBI and the possibility of their use to objectify the injury. Materials and methods. The study involved 115 male participants of hostilities in the East Ukraine (main group) with a diagnosis of "PCS after previous mbTBI" and 30 healthy individuals (control group). Patients were in the long-term period of injury (from 6 months to 3 years). After collecting complaints and history data, the neurological status and the state of cognitive functions were examined. Neuropsychological testing according to the Montreal cognitive assessment score was carried out. Ultrasound duplex scanning with color Doppler mapping of neck and head vessels and transcranial duplex scanning were performed. Quantitative electroencephalography was performed according to standard parameters (sensitivity - 70 μV / cm, time constant - 0.1 s, filter - 40 Hz). Results. In patients with PCS after mbTBI, transcranial duplex scanning can detect changes in vascular resistance in the intracranial vessels of both the carotid and vertebrobasilar basins (mostly reduced resistance values), as well as signs of venous discirculation in the basal veins of the brain, quantitative electroencephalography – changes in the frequency and topic of the α-rhythm, a decrease in its amplitude, frequency-spatial inversion, the presence of signs of dysfunction of nonspecific brain structures, according to spectral analysis – a decrease in α-power, an increase in β-power, activity in θ- and δ-bands. Conclusions. Detected Doppler and electroencephalographic changes may persist in the long-term period of mbTBI. They should be taken into account in the differential diagnosis of post-traumatic stress disorder.
Chinese College Students' Perceived Teacher Autonomy Support and Engagement: A Moderated Mediation Model

The purpose of this study was to examine the correlation between perceived teacher autonomy support (PAS) and student engagement (SE), as well as the mediating role of learning motivation (LM) and the moderating role of the class climate (CC) among 1517 college students in Chinese universities. Survey questionnaires were used in gathering data, and the findings revealed that: (1) PAS had a significant positive impact on SE (B=0.966, p<0.001); (2) LM partially mediated the association between PAS and SE (B=0.084, p<0.001); (3) CC moderated the relation between PAS and LM (B=1.895, p<0.001); more specifically, favorable CC strengthened the effect of PAS on LM among college students. From the findings, this study contributes to a better comprehension of the influence of PAS on SE among Chinese college students. It is suggested higher education institutions and teachers should pay attention to college students' PAS, LM, and CC to improve college students' engagement.
Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China

Low‐carbon development is associated with eco‐industrial parks (EIPs), but whether a causal relationship exists is unknown. A growing body of evidence from environmental engineering studies suggests that EIPs reduce carbon emissions, but few economic studies have assessed the causality, channels, and heterogeneity of this relationship. This study uses the staggered difference‐in‐difference method to construct a quasi‐natural experiment to assess the impact of national‐level EIPs on low‐carbon development. The empirical results reveal that EIPs help achieve low‐carbon development in China. Specifically, EIPs reduce the carbon intensity of the pilot cities by 7.2%. The channel analysis reveals that EIPs advance technological innovation, stimulate the Porter effect, and upgrade the industrial structure. Regional heterogeneity analysis further reveals that EIPs are more conducive to low‐carbon development in pilot cities in southern China, cities along the coast, and cities on the east of the Hu line. Further analysis shows that EIPs depress the peak of the environmental Kuznets curve and help achieve the turning point early. Moreover, this study offers fresh cases and patterns for the construction of EIPs in China. This study contributes to an in‐depth understanding of the role of EIPs in the low‐carbon transition in the largest developing country and provides inspiration for further policy optimization.
Prognostic Value and Clinical Significance of FGFR Genomic Alterations (GAs) in Metastatic Urothelial Cancer Patients

Fibroblast growth factor receptor (FGFR) genomic alterations (GAs) represent an actionable target, key to the pathogenesis of some urothelial cancers (UCs). Though FGFR GAs are common in noninvasive UC, little is known about their role in the metastatic(m) setting and response to therapy. This study aimed to assess the impact of FGFR alterations on sensitivity to systemic treatments and survival and to validate Bajorin’s and Bellmunt’s prognostic scores in mUC patients according to their FGFR status. We retrospectively analyzed data from 98 patients with tumor-sequenced UC who received treatment between January 2010 and December 2020. Up to 77 developed metastatic disease and were deemed the study population. Twenty-six showed FGFR GAs. A trend toward a better response to cisplatin and checkpoint inhibitors was suggested favoring FGFR GA tumors. FGFR GA patients who received an FGFR inhibitor as first-line had poorer responses compared with other options (20% vs. 68.4%, p = 0.0065). Median PFS was 6 vs. 5 months in the FGFR GA vs. FGFR WT cohort (p = 0.71). Median OS was significantly worse in the FGFR GA vs. FGFR WT cohort (16.2 vs. 31.9 months, p = 0.045). Multivariate analyses deemed FGFR GAs as a factor independently associated with the outcome (HR 2.59 (95% CI 1.21–5.55)). Bajorin’s model correctly predicted clinical outcomes in the whole study population but not in FGFR GA cases. FGFR GAs are a relevant biomarker in mUC that could condition the response to systemic therapy. New prognostic models, including this molecular determination, should be designed and validated.
Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND

Type 2 Diabetes Mellitus (T2DM) in midlife is associated with a greater risk of dementia in later life. Both gait speed and spatiotemporal gait characteristics have been associated with later cognitive decline in community-dwelling older adults. Thus, the assessment of gait characteristics in uncomplicated midlife T2DM may be important in selecting-out those with T2DM at greatest risk of later cognitive decline. We assessed the relationship between Inertial Motion Unit (IMUs)-derived gait characteristics and cognitive function assessed via Montreal Cognitive Assessment (MoCA)/detailed neuropsychological assessment battery (CANTAB) in middle-aged adults with and without uncomplicated T2DM using both multivariate linear regression and a neural network approach. Gait was assessed under (i) normal walking, (ii) fast (maximal) walking and (iii) cognitive dual-task walking (reciting alternate letters of the alphabet) conditions. Overall, 138 individuals were recruited (n = 94 with T2DM; 53% female, 52.8 ± 8.3 years; n = 44 healthy controls, 43% female, 51.9 ± 8.1 years). Midlife T2DM was associated with significantly slower gait velocity on both slow and fast walks (both p < 0.01) in addition to a longer stride time and greater gait complexity during normal walk (both p < 0.05). Findings persisted following covariate adjustment. In analyzing cognitive performance, the strongest association was observed between gait velocity and global cognitive function (MoCA). Significant associations were also observed between immediate/delayed memory performance and gait velocity. Analysis using a neural network approach did not outperform multivariate linear regression in predicting cognitive function (MoCA) from gait velocity. Our study demonstrates the impact of uncomplicated T2DM on gait speed and gait characteristics in midlife, in addition to the striking relationship between gait characteristics and global cognitive function/memory performance in midlife. Further studies are needed to evaluate the longitudinal relationship between midlife gait characteristics and later cognitive decline, which may aid in selecting-out those with T2DM at greatest-risk for preventative interventions.
Excited charmonium suppression in proton-nucleus collisions as a consequence of comovers

Recent results from proton(deuteron)-nucleus collisions at RHIC and LHC energies have shown an unexpected suppression of excited quarkonium states as compared to their ground states. In particular, stronger suppression of the $\psi(2S)$ relative to the $J/\psi$ has been detected. Similar observations were made at lower energies and were easily explained by nuclear absorption. At higher energies, a similar explanation would violate the Heisenberg principle, since the calculations based on the uncertainty principle lead to a charmonium formation time expected to be larger than the nuclear radius, which results in identical nuclear break-up probability for the $\psi(2S)$ and $J/\psi$. On the contrary, this behavior is naturally explained by the interactions of the quarkonium states with a comoving medium. We present our results on $J/\psi$ and $\psi(2S)$ production for d+Au collisions at $\sqrt{s}=200$ GeV and for p+Pb collisions at $\sqrt{s}=5.02$ TeV.
Does Environmental Enrichment with Music and Strobe Light Affect Broilers’ Welfare? Analyzing Their On-Farm Reaction

The present study observed whether environmental enrichment (music and strobe light) influenced farm-housed broiler chickens’ behavior. The trial was carried out on a commercial broiler farm from 21 to 35 days of growth. The sound stimulus consisted of playing a classical music track every day for an approximate length of 6 min, played five times a day for six weeks starting from the birds’ first day of age. The light stimuli came from a colored (red and green ground-projected dots) light-emitting diode (LED) strobe projector used after the musical stimulation. The broilers’ reaction was recorded (from day 21 through day 35), and individual bird behaviors were classified into welfare and stress. The birds’ ability to walk was measured using a gait score scale, and the degree of incidence of pododermatitis was verified. Environmental enrichment with light stimulus increased natural behavior in broiler chickens, such as eating, stretching, ground pecking, and flapping wings (p < 0.05). Broiler chickens tended to walk less in the housing with music stimuli (p < 0.05). In general, the environmental stimuli provided the birds with better walking ability but increased the incidence of pododermatitis (p < 0.01). We observed that the light stimulus left the birds more active; they foraged more and lay less when compared to the birds submitted to musical stimuli and the control. However, we also observed an increase in the frequency of stress-indicating behaviors in the environment under light stimulation. It is unclear whether broilers liked the tested stimuli of music and light in the scenarios studied. The enrichment with light or music apparently increased flock stress in 21- and 28-day-old broilers, with some benefit being observed only in 35-day-old broilers.
Modelling adiabatic shear banding via damage mechanics approach

DURING DYNAMIC LOADING PROCESSES, large plastic deformation associated with high strain rates leads, for a broad class of ductile metals, to degradation and failure by adiabatic shear banding. The paper presents an attempt to model some salient features of this process viewed as an anisotropic damage mechanism coupled with thermo-elastic/viscoplastic deformation. The model is destined to be applied in the context of high velocity impact and penetration mechanics. The methodology employed within the framework of the internal state variable structure strives to keep a middle way between extensive description of complex viscoplastic flow and damage events and application-oriented accessibility requirements. Model capabilities are prelaminarily illustrated for shear loading process.
The impact of initial public offering (IPO) attributes, firm-level characteristics and ownership on Malaysian IPO firms’ earnings management

The paper investigates Malaysian Initial Public Offering (IPO) firms’ financial reporting behaviour from the specific perspective of their earnings management (EM) practices covering both real (REM) and accrual (AEM) techniques. It further examines the impact of unique IPO attributes, firm level characteristics and ownership structure on both EM practices contemporaneously. Using the established and commonly used EM models to measure both AEM and REM for IPO firms from 2002 to 2013, the results indicate that IPO firms engage in both EM strategies around the corporate event. It also shows that such strategies are not just opportunistically motivated but attributable to several unique IPO attributes, firm level characteristics and ownership variables. The paper adds to the existing body of knowledge on IPO in the specific emerging country context of Malaysia which evidence from prior studies are observably scant.
Design of planar slotted array antenna fed by single ridge waveguide

A straightforward design procedure for slotted antenna fed by single ridge waveguide is introduced. The proposed method does not use the analytical method to derive the general relation between the backward‐ and forward‐scattering dominant mode coefficients and slot voltage. In the proposed method, general relation connecting the backward‐ and forward‐scattering dominant mode coefficients to the slot electric field distribution is derived using available electromagnetic field simulator and by fitting some proper polynomials to the derived data. Then, the well known Elliott's design procedure for arrays of longitudinal slot in the broad wall of air filled rectangular waveguide is developed for the slot array feed by single ridge waveguide. A four‐by‐five array is designed and simulated which verify the design specifications and the proposed design procedure. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.
Downregulation of miR-192 Alleviates Oxidative Stress-Induced Porcine Granulosa Cell Injury by Directly Targeting Acvr2a

Follicular atresia is primarily caused by breakdown to granulosa cells (GCs) due to oxidative stress (OS). MicroRNAs (miRNAs) elicit a defense response against environmental stresses, such as OS, by acting as gene-expression regulators. However, the association between miRNA expression and OS in porcine GCs (PGCs) is unclear. Here, we examined the impact of H2O2-mediated OS in PGCs through miRNA-Seq. We identified 22 (14 upregulated and 8 downregulated) and 33 (19 upregulated and 14 downregulated) differentially expressed miRNAs (DEmiRNAs) at 100 μM and 300 μM H2O2, respectively, compared with the control group. Among the DEmiRNAs, mi-192 was most induced by H2O2-mediated OS, and the downregulation of miR-192 alleviated PGC oxidative injury. The dual-luciferase reporter assay results revealed that miR-192 directly targeted Acvr2a. The Acvr2a level was found to be remarkably decreased after OS. Furthermore, grape seed procyanidin B2 (GSPB2) treatment significantly reduced the H2O2-induced upregulation of miR-192, and decreased PGC apoptosis and oxidative damage. Meanwhile, GSPB2 prevented an H2O2-induced increase in caspase-3 activity, which was enhanced by the application of the miR-192 inhibitor. These results indicate that GSPB2 protects against PGC oxidative injury via the downregulation of miR-192, the upregulation of Acvr2a expression, and the suppression of the caspase-3 apoptotic signaling pathway.
Rapid Control of Government Economic Environment Management Cost Based on Balanced Score Card

EMC (economic management cost) of the government has become a hot topic of concern from all walks of life. Controlling and reducing government EMC is the requirement for building a conservation-oriented society and deepening the reform of public budget. Dynamic cost accounting calculates the cost of cost objects through the confirmation, measurement, and distribution of production costs. In this article, it is innovatively proposed to integrate BSC (balanced score card) into EMC control, and analyze the logical relationship between system objectives and functions by using the mathematical model. Based on GA (genetic algorithm) cost optimization control concept and specific control ideas, individuals who meet the evolutionary characteristics are stored in the crossover database and participate in crossover operation as parents when crossing. In order to improve the local optimization ability of the algorithm, parallel mutation operation mechanism is introduced, which can execute multiple mutation rules at the same time. The results show that the average convergence time of this algorithm is 0.186s and the variance of population fitness is 288.19. The conclusion shows that the algorithm proposed in this article can overcome the problems of slow convergence speed, low accuracy, and local convergence of GA, and effectively improve the overall performance of the algorithm.