Miracle-dz/UniFAR-FTUs huggingface dataset:
Moderating effect of audit quality: the case of political connection, executive compensation and tax aggressiveness

The study examines the moderating effect of audit quality on relationship between political connection, executive compensation on tax aggressive. The secondary data used for this study in the form of financial statements of 56 financial sector firms listed on Indonesian stock exchange from 2018 to 2021. Moderated Regression Analysis used for analyzed data. Result indicate, that political connection positively affected tax aggressive. These result support the view of grabbing hand theory, where a bureaucrat who occupies a position in the company will be controlled by the corporation because they get welfare. Furthermore, we find that executive compensation negatively affected tax aggressive. The result of moderation analysis show that audit quality can weaken the relationship of executive compensation on tax aggressive. These findings of this research suggest that audit quality is an effective corporate governance mechanism, thereby protecting users against the opportunism and fraud by managers. This show that corporate governance is able to mitigating information asymmetry that exist in the relation between agent and principals.
NLRP3 inflammasome activation in sensory neurons promotes chronic inflammatory and osteoarthritis pain

Summary Pain is one of the most debilitating symptoms in rheumatic diseases. Pain often persists after total knee replacement in osteoarthritis, or when inflammation is minimal/absent in rheumatoid arthritis. This suggests that pain transitions to a chronic state independent of the original damage/inflammation. Mitochondrial dysfunction in the nervous system promotes chronic pain and is linked to NLRP3 inflammasome activation. Therefore, we investigated the role of mitochondrial dysfunction and NLRP3 inflammasome activation in the transition from acute to persistent inflammation-induced nociplastic pain and in persistent monoiodoacetate-induced osteoarthritis pain. Intraplantar injection of carrageenan in mice induced transient inflammatory pain that resolved within 7 days. A subsequent intraplantar PGE2 injection induced persistent mechanical hypersensitivity, while in naive mice it resolved within one day. Thus, this initial transient inflammation induced maladaptive nociceptor neuroplasticity, so-called hyperalgesic priming. At Day 7, when mice were primed, expression of NLRP3 inflammasome pathway components was increased, and dorsal root ganglia (DRG) neurons displayed signs of activated NLRP3 inflammasome. Inhibition of NLRP3 inflammasome with MCC950 prevented the transition from acute to chronic pain in this hyperalgesic priming model. In mice with persistent monoiodoacetate-induced osteoarthritis pain, DRG neurons displayed signs of mitochondrial oxidative stress and NLRP3 inflammasome activation. Blocking NLRP3 inflammasome activity attenuated established osteoarthritis pain. In males, NLPR3 inhibition had longer-lasting effects than in females. Overall, these data suggest that NLRP3 inflammasome activation in sensory neurons, potentially caused by neuronal oxidative stress, promotes development of persistent inflammatory and osteoarthritis pain. Therefore, targeting NLRP3 inflammasome pathway may be a promising approach to treat chronic pain.
Early Neuroprotective Effects of Bovine Lactoferrin Associated with Hypothermia after Neonatal Brain Hypoxia-Ischemia in Rats

Neonatal hypoxic-ischemic (HI) encephalopathy (HIE) in term newborns is a leading cause of mortality and chronic disability. Hypothermia (HT) is the only clinically available therapeutic intervention; however, its neuroprotective effects are limited. Lactoferrin (LF) is the major whey protein in milk presenting iron-binding, anti-inflammatory and anti-apoptotic properties and has been shown to protect very immature brains against HI damage. We hypothesized that combining early oral administration of LF with whole body hypothermia could enhance neuroprotection in a HIE rat model. Pregnant Wistar rats were fed an LF-supplemented diet (1 mg/kg) or a control diet from (P6). At P7, the male and female pups had the right common carotid artery occluded followed by hypoxia (8% O2 for 60′) (HI). Immediately after hypoxia, hypothermia (target temperature of 32.5–33.5 °C) was performed (5 h duration) using Criticool®. The animals were divided according to diet, injury and thermal condition. At P8 (24 h after HI), the brain neurochemical profile was assessed using magnetic resonance spectroscopy (1H-MRS) and a hyperintense T2W signal was used to measure the brain lesions. The mRNA levels of the genes related to glutamatergic excitotoxicity, energy metabolism and inflammation were assessed in the right hippocampus. The cell markers and apoptosis expression were assessed using immunofluorescence in the right hippocampus. HI decreased the energy metabolites and increased lactate. The neuronal–astrocytic coupling impairments observed in the HI groups were reversed mainly by HT. LF had an important effect on astrocyte function, decreasing the levels of the genes related to glutamatergic excitotoxicity and restoring the mRNA levels of the genes related to metabolic support. When combined, LF and HT presented a synergistic effect and prevented lactate accumulation, decreased inflammation and reduced brain damage, pointing out the benefits of combining these therapies. Overall, we showed that through distinct mechanisms lactoferrin can enhance neuroprotection induced by HT following neonatal brain hypoxia-ischemia.
Cancelable Face Recognition Using Deep Steganography

In biometrics, the secure transfer and storage of biometric samples are important for protecting the privacy and security of the data subject. One of the methods for authentication while protecting biometric samples is cancelable biometrics, which performs transformation of features and uses the transformed features for authentication. Among the methods of cancelable biometrics, steganography-based approaches have been proposed, in which secret information is embedded in another to hide its existence. In this paper, we propose cancelable biometrics based on deep steganography for face recognition. We embed a face image or its face features into a cover image to generate a stego image with the same appearance as the cover image. By using a dedicated face feature extractor, we can perform face recognition without restoring the embedded face image or face features from the stego image. We demonstrate the effectiveness of the proposed method compared to conventional steganography-based methods through performance and security evaluation experiments using public face image datasets. In addition, we present one of the potential applications of the proposed method to improve the security of face recognition by using a QR code with a one-time password for the cover image.
Does releasing foreign investment bounds improve the performance of pension funds

^len^aThis article evaluates the regulator's proposal to increase the bounds on foreign investment of the Peruvian Pension Funds. The subject is analyzed from two perspectives: the first determines whether higher investment levels in foreign markets improve the diversification of the investment portfolio; to specify the co-relation level we make use of the copula model. The second perspective analyzes the effects caused by the clashes generated in the foreign markets through the extreme value theory. The results suggest, as a policy recommendation, to reduce the levels of investment on shares and foreign investment in the investment portfolios of the pension funds. ^les^aEste articulo evalua la propuesta del regulador para incrementar los limites de inversion en el extranjero de los fondos de pensiones peruanos. El tema es analizado desde dos perspectivas: la primera determina si mayores niveles de inversion en los mercados externos mejora la diversificacion de la cartera de inversion; para precisar el grado de correlacion hacemos uso del modelo de copulas; la segunda analiza los efectos de los choques generados en los mercados externos mediante la teoria de valores extremos. Los resultados sugieren, como recomendacion de politica, reducir los niveles de inversion en acciones y en inversion en el exterior en la cartera de inversiones de los fondos de pensiones. ^lpt^aEste artigo avalia a proposta do regulador para aumentar os limites de investimento no exterior dos fundos de pensao peruanos. O tema e analisado de duas perspectivas: a primeira determina se maiores niveis de investimento nos mercados externos melhora a diversificacao da carteira de investimento; para determinar o grau de correlacao, usa-se o modelo de copulas; a segunda analisa os efeitos dos choques gerados nos mercados externos mediante a Teoria dos Valores Extremos. Os resultados sugerem, como recomendacao de politica, reduzir os niveis de investimento em acoes e investimento no exterior na carteira de investimentos dos fundos de pensao.
Complications of Intrathecal Baclofen Pump Therapy: An Institutional Experience from Saudi Arabia

The intrathecal baclofen pump (ITB) is one of the advanced treatment options in the management of spasticity. This retrospective cohort study was conducted to identify the complications of ITB treatment at a tertiary care rehabilitation facility. Various demographic and technical factors were analyzed, which are less often reported in the literature. All patients with ITB who had their refill at the ITB clinic between November 2019 and March 2020 were included. Of 48 patients, 17 patients had 18 (37.5%) ITB-related complications. Catheter-related complications were most common, whereas loss of efficacy (16.7%) and baclofen withdrawal (14.5%) were the most common outcomes of complications. Only catheter occlusion had a significant relationship with the pattern of spastic quadriparesis (p = 0.001). Gender, rehabilitation diagnosis, patients’ residence, and facility of ITB placement did not have significant association. Similarly, age, distance from hospital, disease onset, ITB therapy duration, and baclofen dose were not statistically significant in relation to ITB-related complications.
Selection and validation of optimal reference genes for RT-qPCR analyses in Aphidoletes aphidimyza Rondani (Diptera: Cecidomyiidae)

Aphidoletes aphidimyza is a predator that is an important biological agent used to control agricultural and forestry aphids. Although many studies have investigated its biological and ecological characteristics, few molecular studies have been reported. The current study was performed to identify suitable reference genes to facilitate future gene expression and function analyses via quantitative reverse transcription PCR. Eight reference genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH), RPS13, RPL8, RPS3, α-Tub, β-actin, RPL32, and elongation factor 1 alpha (EF1-α) were selected. Their expression levels were determined under four different experimental conditions (developmental stages, adult tissues, sugar treatment, and starvation treatment) using qRT-PCR technology. The stability was evaluated with five methods (Ct value, geNorm, NormFinder, BestKeeper, and RefFinder). The results showed that GAPDH, RPL32, and EF1-α were ranked as the best reference gene combinations for measuring gene expression levels among different developing stages and in various starvation treatments. RPL8 and RPS3 were recommended to normalize the gene expression levels among different adult tissues. RPL32, β-actin, and EF1-α were recommended sugar-feeding conditions. To validate the utility of the selected reference pair, RPL8, and RPS3, we estimated the tissue-biased expression level of a chemosensory protein gene (AaphCSP1). As expected, AaphCSP1 is highly expressed in the antennae and lowly expressed in the abdomen. These findings will lay the foundation for future research on the molecular physiology and biochemistry of A. aphidimyza.
BEDROCK GEOCHEMISTRY OF THE BARRIERE LAKES - ADAMS PLATEAU AREA (82L/13E; 82M/3W, 4, 5, 12S; 92P/1E, 8E)

During the late 1970s and early 1980s, the British Columbia Geological Survey Branch conducted several years of mapping the bedrock geology of the Adams Plateau region (Figure 1). The net result of this work included a detailed map (Schiarizza and Preto 1984) and report describing the bedrock structure and geology (Schiarizza and Preto 1987). The region was revisited by the Geological Survey Branch in the late 1990s to conduct regional till geochemistry surveys and complete the mapping of the surficial geology (Dixon et al. 1997; Leboe et al. 1997; Paulen et al. 1998a, b) to stimulate further mineral exploration in the region. Over 1500 till samples were collected and analysed for trace element and whole rock (major oxides) geochemistry and released as open files (Bobrowsky et al. 1997, 1998; Paulen et al. 2000a, b).
Radiocarbon Dating of Biochemically Characterized Hair

A series of 14C determinations have been obtained on hair samples principally from Holocene contexts that have been variously pretreated to examine different means of removing potential contamination. SEM photomicrographs have documented hair surfaces before and after different pretreatments. Amino-acid composition, C/N ratios and δ13C values have been obtained to biochemically characterize these samples and provide baseline data for future comparisons with less well-preserved samples. Our data support the view that appropriately pretreated hair samples can provide accurate 14C age determinations.
Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

The digital market trend is rapidly expanding due to key characteristics like decentralization, accessibility, and market diversity enabled by blockchain technology. This study proposes a Predictive Analytics System to provide simplified reporting for the three most popular cryptocurrencies with varying digits, namely ADA Cardano, Ethereum, and Binance coin, for ten days to contribute to this emerging technology. Thus, this proposed system employs a data science-based framework and six highly advanced data-driven Machine learning and Deep learning algorithms: Support Vector Regressor, Auto-Regressive Integrated Moving Average (ARIMA), Facebook Prophet, Unidirectional LSTM, Bidirectional LSTM, Stacked LSTM. Moreover, the research experiments are repeated several times to achieve the best results by employing hyperparameter tuning of each algorithm. This involves selecting an appropriate kernel and suitable data normalization technique for SVR, determining ARIMA’s (p, d, q) values, and optimizing the loss function values, number of neurons, hidden layers, and epochs in LSTM models. For the model validation, we utilize widely used evaluation techniques: Mean Absolute Error, Root Mean Squared Error, Mean Absolute Percentage Error, and R-squared. Results demonstrate that ARIMA outperforms the other models in all cases, accurately projecting the price variability within the actual price range. Conversely, Facebook Prophet exhibits good performance to some extent. The paper suggests that the ARIMA technique offers practical implications for market analysts, enabling them to make well-informed decisions based on accurate price projections.
Compact Wideband Circularly-Polarized Mechanically Beam-Steering Antenna for Ka-Band Vehicular Communications

The stable vehicular space-air-ground integrated network (SAGIN) requires high-gain multi-beam/beam-steering antenna systems. In this paper, we propose a compact high-gain wideband circularly-polarized (CP) beam-steering antenna with novel rotatable phase-gradient metasurface (PGM) transmitarrays for the SAGIN. It consists of a novel substrate-integrated-waveguide (SIW) array feed and three innovative metasurface transmitarrays (M0, M1, and M2), capable of providing any compensation phases between 0° and 360°. The novel PGM unit cells have two identical CP U-slot patches that perform CP-to-CP conversions with high transmission efficiencies. In addition, a new and accurate beam-steering analytical formulations are proposed for fast predictions of scanning angles. Experimental results show that the proposed compact SIW array feed achieves an aperture efficiency of 58.8%, a 3-dB gain bandwidth of 10.8%, and a 3-dB axial ratio (AR) bandwidth of over 23%. The proposed entire beam-steering antenna achieves a peak gain of 27.56 dBic, which corresponds to an aperture efficiency of 48.5%, and an exceptionally wide 3-dB AR bandwidth within the scanning range. It is a strong candidate for future millimeter-wave communications in satellite and radar systems and vehicular communications.
Identifying episodic carbon monoxide emission events in the MOPITT measurement dataset

The Measurements Of Pollution In The Troposphere (MOPITT) instrument aboard NASA’s Terra satellite has been measuring upwelling radiance in a nadir-viewing mode since March 2000. These radiance measurements are inverted to yield estimates of carbon monoxide (CO) profiles and total columns, providing the longest satellite record of this trace gas to date. The CO measurements from MOPITT have been used in a variety of ways, including trend analyses and the construction of CO budgets. However, their use is complicated by the influence of episodic emission events, which release large quantities of 5 CO into the atmosphere with irregular timing, such as large sporadic wildfires of natural or anthropogenic origin. The chaotic nature of these events is a large source of variability in CO budgets and models, requiring that these events be well characterized in order to develop an improved understanding of the role they have in influencing tropospheric CO. This study describes the development of a multi-step algorithm that is used to identify large episodic emission events using daily-mean Level 2 (L2) MOPITT total column measurements gridded to 0.5 ◦ by 0.5 ◦ spatial resolution. The core component of this procedure involves 10 empirically determining the expectation density function (EDF) that describes the departure of daily-mean CO observations from the baseline behaviour of CO, as described by its periodic components and trends. The EDFs employed are not assumed to be symmetric, but instead are constructed from a pair of superimposed normal distributions. Enhancement flag files are produced following this methodology, identifying the episodic events that show strong enhancement of CO outside of the range of expected CO behaviour, and are now made available for the period 3 March 2000 to 31 July 2022. The distribution 15 and frequency of these flagged measurements over this 22-year period is analyzed, to illustrate
Contribution of SAR images to determination of surface moisture on the Menemen Plain, Turkey

Due to recent climate changes and variability, drought has become a serious threat to Turkey, and its monitoring is of the highest priority. Remote sensing has certain weaknesses for monitoring droughts. Monitoring moisture levels using merely optical images may be inadequate in some cases due to the existence of natural plant cover and agricultural crop texture. The monitoring of moisture levels by meteorological satellites in recent years provides information only on smaller scales. Large‐scale studies necessitate the use of active systems. In this study, the contribution of SAR images to moisture level observations was investigated in a selected study area, enabling different levels of soil moisture to be studied simultaneously. In this respect, a Radarsat‐1 Fine Beam mode image of May 2006 pertaining to the low lands of Menemen Town, Izmir, was fused with a Satellite pour l'Observation de la Terre (SPOT)‐2 satellite image of the same date, and the variation of grey values in each band was studied. Finally, the moisture level of the soil was observed despite the plant cover using the Fuse algorithm from the PCI software. Thus, the variable soil moisture levels determined using the gravimetric method were found to be highly correlated with the grey values obtained from image fusion.
Tyrosine Metabolism Pathway Is Downregulated in Dopaminergic Neurons with LRRK2 Overexpression in Drosophila

LRRK2 mutations are the leading cause of familial Parkinson’s disease (PD) and are a significant risk factor for idiopathic PD cases. However, the molecular mechanisms underlying the degeneration of dopaminergic (DA) neurons in LRRK2 PD patients remain unclear. To determine the translatomic impact of LRRK2 expression in DA neurons, we employed gene set enrichment analysis (GSEA) to analyze a translating ribosome affinity purification (TRAP) RNA-seq dataset from a DA-neuron-specific-expressing Drosophila model. We found that the tyrosine metabolism pathway, including tyrosine hydroxylase (TH), is downregulated in DA neurons with LRRK2 overexpression; in contrast, the Hippo signaling pathway is downregulated in the G2019S mutant compared to wild-type LRRK2 in the DA neurons. These results imply that the downregulation of tyrosine metabolism occurs before pronounced DA neuron loss and that LRRK2 may downregulate the tyrosine metabolism in a DA-neuron-loss-independent way.
Seismic interpretation of pelagic sedimentation regimes in the 18–53 Ma eastern equatorial Pacific: Basin‐scale sedimentation and infilling of abyssal valleys

Understanding how pelagic sediment has been eroded, transported, and deposited is critical to evaluating pelagic sediment records for paleoceanography. We use digital seismic reflection data from an Integrated Ocean Drilling Program site survey (AMAT03) to investigate pelagic sedimentation across the eastern‐central equatorial Pacific, which represents the first comprehensive record published covering the 18–53 Ma eastern equatorial Pacific. Our goals are to quantify (1) basin‐hill‐scale primary deposition regimes and (2) the extent to which seafloor topography has been subdued by abyssal valley‐filling sediments. The eastern Pacific seafloor consists of a series of abyssal hills and basins, with minor late stage faulting in the basement. Ocean crust rarely outcrops at the seafloor away from the rise crest; both hills and basins are sediment covered. The carbonate compensation depth is identified at 4440 m by the appearance of acoustically transparent clay intervals in the seismic data. Overall, we recognized three different sedimentation regimes: depositional (high sedimentation rate), transitional, and minimal sedimentation (low sedimentation rate) regimes. In all areas, the sedimented seafloor mimics the underlying basement topography, although the degree to which topography becomes subdued varies. Depositional regimes result in symmetric sedimentation within basins and subdued topography, whereas minimal sedimentation regimes have more asymmetric distribution of sediments within topographic lows and higher seafloor relief. Regardless of sedimentation regime, enhanced sediment deposition occurs within basins. However, we observe that basin infill is rarely more than twice as thick as sediment cover over abyssal hills. If this variation is due to sediment focusing, the focusing factor in the basins, as measured by 230Th, is no more than a factor of ∼1.3 of the total vertical particulate rain.