Miracle-dz/UniFAR-FTUs huggingface dataset:
RBM15-mediating MDR1 mRNA m6A methylation regulated by the TGF-β signaling pathway in paclitaxel-resistant ovarian cancer

Ovarian cancer (OC) lacks effective biomarkers for diagnosis at an early stage and often develops chemoresistance after the initial treatment at an advanced stage. RNA-binding motif protein 15 (RBM15) is an RNA m6A methylation mediator that serves an oncogenic role in some cancers. However, the function and molecular mechanisms of RBM15 in ovarian tumorigenesis and chemoresistance remain to be elucidated. The present study identified the overexpression of RBM15 in OC tissues and paclitaxel (PTX)-resistant cells using reverse transcription-quantitative (q)PCR, western blotting and immunohistochemistry. Clinical data analyses showed that high expression of RBM15 was associated with poor prognosis in patients with OC. Overexpression of RBM15 led to an increase in cell viability and colony formation and a decrease in cell sensitivity to PTX and apoptosis, whereas the knockdown of RBM15 resulted in the inhibition of cell viability and colony formation in vitro and tumor formation in vivo and increased cell apoptosis and sensitivity to PTX in a time- and dose-dependent manner. Furthermore, RBM15 knockdown reduced the spheroid formation of PTX-resistant OC cells. Silencing of RBM15 decreased multidrug resistance 1 (MDR1) mRNA m6A methylation detected by the methylated RNA immunoprecipitation-qPCR assay and downregulated the expression of a chemo-drug efflux pump MDR1 at the mRNA and protein levels. Finally, RBM15 expression was suppressed by the activation of the TGF-β signaling pathway. Thus, the findings revealed a TGF-β/RBM15/MDR1 regulatory mechanism. Targeting RBM15 may provide a novel therapeutic strategy for the treatment of PTX-resistant OC.
Inferring Socioeconomic Characteristics from Travel Patterns

Nowadays, crowd-based big data is widely used in transportation planning. These data sources provide valuable information for model validation; however, they cannot be used to estimate travel demand forecasting models, because these models need a linkage between travel patterns and the socioeconomic characteristics of the people making trips and such a connection is not available due to privacy issues. As such, uncovering the correlation between travel patterns and socioeconomic characteristics is crucial for travel demand modelers to be able to leverage such data in model estimation. Different age, gender, and income groups may have specific travel behavior preferences. To extract and investigate these patterns, we used two data sets: one from the National Household Travel Survey 2009 and the other from the Metropolitan Washington Council of Government Transportation Planning Board 2007-2008 household survey. After preprocessing the data, a range of machine learning algorithms were used to synthesize the socioeconomic characteristics of travelers. After comparison, we found that the CatBoost model outperformed the other models. To further improve the results, a synthetic population and Bayesian updating were used, which considerably improved the estimation of income. This study showed that the conventional inference of travel demand from socioeconomic patterns can be reversed, creating an opportunity to utilize the plethora of crowd-based mobility data.
Global Value Chains in a Postcrisis World: A Development Perspective

The world is in the midst of a sporadic and painful recovery from the most severe economic crisis since the 1930s Great Depression. The unprecedented scale of the crisis and the speed of its transmission have revealed the interdependence of the global economy and the increasing reliance by businesses on global value chains (GVCs). These chains represent the process of ever-finer specialization and geographic fragmentation of production, with the more labor-intensive portions transferred to developing countries. As the recovery unfolds, it is time to take stock of the aftereffects and to draw lessons for the future. Have we experienced the first global crisis of the 21st century or a more structural crisis of globalization? Will global trade, demand, and production look the same as before, or have fundamental changes occurred? How have lead firms responded to the crisis? Have they changed their supply chain strategies? Who are the winners and losers of the crisis? Where are the engines of recovery? After reviewing the mechanisms underpinning the transmission of economic shocks in a world economy where trade and GVCs play increasing roles, the book assesses the impact of the crisis on global trade, production, and demand in a variety of sectors, including apparel, automobiles, electronics, commodities, and off-shore services. The book offers insights on the challenges and opportunities for developing countries, with a particular focus on entry and upgrading possibilities in GVCs postcrisis. Business strategies and related changes in GVCs are also examined, and the book offers concrete policy recommendations and suggests a number of interventions that would allow developing countries to better harness the benefits of the recovery.
Lipocalin 2 receptors: facts, fictions, and myths

The human 25-kDa Lipocalin 2 (LCN2) was first identified and purified as a protein that in part is associated with gelatinase from neutrophils. This protein shows a high degree of sequence similarity with the deduced sequences of rat α2-microglobulin-related protein and the mouse protein 24p3. Based on its typical lipocalin fold, which consists of an eight-stranded, anti-parallel, symmetrical β-barrel fold structure it was initially thought that LCN2 is a circulating protein functioning as a transporter of small lipophilic molecules. However, studies in Lcn2 null mice have shown that LCN2 has bacteriostatic properties and plays a key role in innate immunity by sequestering bacterial iron siderophores. Numerous reports have further shown that LCN2 is involved in the control of cell differentiation, energy expenditure, cell death, chemotaxis, cell migration, and many other biological processes. In addition, important roles for LCN2 in health and disease have been identified in Lcn2 null mice and multiple molecular pathways required for regulation of Lcn2 expression have been identified. Nevertheless, although six putative receptors for LCN2 have been proposed, there is a fundamental lack in understanding of how these cell-surface receptors transmit and amplify LCN2 to the cell. In the present review we summarize the current knowledge on LCN2 receptors and discuss inconsistencies, misinterpretations and false assumptions in the understanding of these potential LCN2 receptors.
Assessment of Oxidative Stress-Induced Oral Epithelial Toxicity

Reactive oxygen species (ROS) are highly reactive molecules generated in living organisms and an excessive production of ROS culminates in oxidative stress and cellular damage. Notably, oxidative stress plays a critical role in the pathogenesis of a number of oral mucosal diseases, including oral mucositis, which remains one of cancer treatments’ most common side effects. We have shown previously that oral keratinocytes are remarkably sensitive to oxidative stress, and this may hinder the development and reproducibility of epithelial cell-based models of oral disease. Here, we examined the oxidative stress signatures that parallel oral toxicity by reproducing the initial events taking place during cancer treatment-induced oral mucositis. We used three oral epithelial cell lines (an immortalized normal human oral keratinocyte cell line, OKF6, and malignant oral keratinocytes, H357 and H400), as well as a mouse model of mucositis. The cells were subjected to increasing oxidative stress by incubation with hydrogen peroxide (H2O2) at concentrations of 100 μM up to 1200 μM, for up to 24 h, and ROS production and real-time kinetics of oxidative stress were investigated using fluorescent dye-based probes. Cell viability was assessed using a trypan blue exclusion assay, a fluorescence-based live–dead assay, and a fluorometric cytotoxicity assay (FCA), while morphological changes were analyzed by means of a phase-contrast inverted microscope. Static and dynamic real-time detection of the redox changes in keratinocytes showed a time-dependent increase of ROS production during oxidative stress-induced epithelial injury. The survival rates of oral epithelial cells were significantly affected after exposure to oxidative stress in a dose- and cell line-dependent manner. Values of TC50 of 800 μM, 800 μM, and 400 μM were reported for H400 cells (54.21 ± 9.04, p < 0.01), H357 cells (53.48 ± 4.01, p < 0.01), and OKF6 cells (48.64 ± 3.09, p < 0.01), respectively. Oxidative stress markers (MPO and MDA) were also significantly increased in oral tissues in our dual mouse model of chemotherapy-induced mucositis. In summary, we characterized and validated an oxidative stress model in human oral keratinocytes and identified optimal experimental conditions for the study of oxidative stress-induced oral epithelial toxicity.
Complete Instances Mining for Weakly Supervised Instance Segmentation

Weakly supervised instance segmentation (WSIS) using only image-level labels is a challenging task due to the difficulty of aligning coarse annotations with the finer task. However, with the advancement of deep neural networks (DNNs), WSIS has garnered significant attention. Following a proposal-based paradigm, we encounter a redundant segmentation problem resulting from a single instance being represented by multiple proposals. For example, we feed a picture of a dog and proposals into the network and expect to output only one proposal containing a dog, but the network outputs multiple proposals. To address this problem, we propose a novel approach for WSIS that focuses on the online refinement of complete instances through the use of MaskIoU heads to predict the integrity scores of proposals and a Complete Instances Mining (CIM) strategy to explicitly model the redundant segmentation problem and generate refined pseudo labels. Our approach allows the network to become aware of multiple instances and complete instances, and we further improve its robustness through the incorporation of an Anti-noise strategy. Empirical evaluations on the PASCAL VOC 2012 and MS COCO datasets demonstrate that our method achieves state-of-the-art performance with a notable margin. Our implementation will be made available at https://github.com/ZechengLi19/CIM.
The Effect of Health Literacy on Preoperative Anxiety Levels in Patients Undergoing Elective Surgery

Objective This study aimed to determine preoperative anxiety levels, their associated factors, and the relationship between health literacy and preoperative anxiety in adult patients undergoing elective surgery. Materials and Methods This descriptive cross-sectional study was conducted in a tertiary hospital between December 21, 2021, and June 20, 2022, and included 466 adult patients. Participants were administered the demographic data and basic health status form, Health Literacy Scale (HLS), and Beck Anxiety Inventory (BAI). Statistical significance was set at p < 0.05. Results The participants’ mean BAI score was low to moderate (9.28±10.85). The total HLS score was 105.89±24.42. For the BAI, a negative correlation was found between the access to information sub-dimensions of the HLS and BAI (p=0.043, r=−0.094). In addition, a negative correlation was detected between patients’ age and HLS and its sub-dimensions (p<0.001, respectively [r=−0.188, r=−0.193, r=−0.205, r=−0.161]), and a positive correlation was observed among the HLS sub-dimensions (p<0.001, respectively [r=0.873, r=0.057, r=0.966, r=0.915]). Higher HLS and sub-dimension averages were observed in single, high school, university graduates, and civil servant participants. In addition, higher BAI averages were detected in females, homemakers, urban residents, participants living only with their children, and those with additional diseases (respectively, p<0.001, p<0.001, p=0.007, p=0.0034, p<0.01). Conclusion As the level of health literacy increased, preoperative anxiety levels decreased. Preoperative assessment and education are fundamental to perioperative patient care, particularly in the surgical setting.
Neural representations of naturalistic person identities while watching a feature film

Abstract Recognising other people in naturalistic settings relies on differentiating between individuals (“telling apart”), as well as generalising across within-person variability (“telling together”; Burton, 2013; Lavan, Burston, & Garrido, 2019; Lavan, Burton, et al., 2019). However, previous neuroscientific investigations of face and voice recognition have tended to measure identity-related responses and representations using tightly controlled stimuli, thus under sampling the naturalistic variability encountered in everyday life. In this study, we tested whether cortical regions previously implicated in processing faces and voices represent identities during naturalistic and task-free stimulation. Representational similarity analyses were conducted on functional MRI datasets collected while human participants watched feature-length movies. Identity representations—defined as similar response patterns to variable instances of the same person (“telling together”), and dissimilar patterns in response to different people (“telling apart”)—were observed in established face and voice processing areas, across two independent participant groups viewing different sets of identities. We also explored contributions of face versus voice information to identity representations, finding more widespread preferential sensitivity to faces. We thus characterise how the brain represents identities in the real world, for the first-time accounting for both “telling people together” and “telling people apart. ” Despite substantial differences to previous experimental research, our findings align with previous work, showing that similar brain areas are engaged in the representation of identities under experimental and naturalistic exposure.
To each their own: a review of individual differences and metaphorical perspectives on time

How do people talk—and potentially think—about abstract concepts? Supported by abundant linguistic evidence, Conceptual Metaphor Theory posits that people draw upon concrete concepts to structure abstract ones via metaphorical connections. Often, the source domain for a metaphor draws upon embodied physical experience, as in the time is space system, whereby representations in the domain of time are thought to arise from experiences of navigating through, orienting within, and observing motion in space. In recent years, psychological evidence has suggested that the connections between space and time are indeed conceptual; however, many gaps in our understanding of the workings of metaphor remain. Notably, until recently, the unique variations in the ways in which people experience metaphor have been largely overlooked, with much research falling prey to what Dąbrowska has identified as one of the ‘deadly sins’ of cognitive linguistics: to ignore individual differences. By focusing on two widely studied metaphors for time, Moving Time and Moving Ego, this review article shines a spotlight on the varied ways in which people draw on their embodied and enculturated experiences, along with ‘human experience’ on an individual level and the contexts within which they use metaphor. In doing so, it highlights the importance for metaphoric conceptualization of variation across languages, across contexts, and across individuals, suggesting that while the use and interpretation of metaphor may begin with cross-domain connections, they are but part of the story.
Progesterone profile and ultrasonographic scanning of uterus during post partum period in Jakhrana goats

It is evident from our findings that oestrous cyclicity was not resumed during 60 days pp in Jakhrana female goats, as progesterone level remained at basal level (£ 1.00 ng/ml) during this period. The ELISA results were further supported by ultrasonographic examination which revealed that post partum uterus regained pre-gravid stage by day 45 pp. Transrectal ultrasonography was confirmed as a reliable tool to determine uterine involution in goats. Thus, the results suggest the possibility of sustaining next pregnancy in Jakhrana goats after 60 days pp. Moreover, based upon these findings, it is clear that interventions are possible by advocating hormonal therapy in order to induce and synchronize oestrus/ovulation at or after 60 days pp from the perspective of augmenting reproductive efficiency.
The Moderated Mediation Effect of Age and Relaxation on the Relationship between the Type A Behavior Pattern and Blood Pressure in South Korea

Although it is generally known that the type A behavior pattern (TABP) is associated with high blood pressure, recent studies have not consistently supported this association. Therefore, it is important to determine which factors moderate and mediate this relationship. The purpose of this study was to verify the moderated mediation effect of age and relaxation in the relationship between TABP and high blood pressure among middle-aged adults in South Korea. This study utilized data from the Korea Health and Genome Study (KHGS) supported by the Korea National Institute of Health. The participants in the present study were 10,022 Korean adults aged 40 to 69. To identify the conditional indirect effect of TABP on blood pressure through relaxation, with a consideration of age, a moderated mediation model using SPSS PROCESS macro 3.10 was applied. As is generally known, TABP was associated with high blood pressure, but its relevance was reversed through relaxation. Moreover, this relationship was moderated by age, which is known to be the most powerful predictor of high blood pressure. The lower age group with TABP exhibited a higher relaxation, whereas the higher age group with TABP demonstrated a lower relaxation. The findings demonstrate the need for relaxation education, stress management, or counseling to help individuals recognize their behavior patterns and strengthen the willingness and motivation for relaxation, especially among elderly people with TABP, in order to manage their blood pressure effectively.
FMCW Radar System Interference Mitigation Based on Time-Domain Signal Reconstruction

In this study, an interference detection and mitigation method is proposed for frequency-modulated continuous-wave radar systems based on time-domain signal reconstruction. The interference detection method uses the difference in one-dimensional fast Fourier transform (1D-FFT) results between targets and interferences. In the 1D-FFT results, the target appears as a peak at the same frequency point for all chirps within one frame, whereas the interference appears as the absence of target peaks within the first or last few chirps within one frame or as a shift in the target peak position in different chirps. Then, the interference mitigation method reconstructs the interference signal in the time domain by the estimated parameter from the 1D-FFT results, so the interference signal can be removed from the time domain without affecting the target signal. The simulation results show that the proposed interference mitigation algorithm can reduce the amplitude of interference by about 25 dB. The experimental results show that the amplitude of interference is reduced by 20–25 dB, proving the effectiveness of the simulation results.
Consensus Panel Recommendations for the Pharmacological Management of Pregnant Women with Depressive Disorders

Introduction: The initiative of a consensus on the topic of antidepressant and anxiolytic drug use in pregnancy is developing in an area of clinical uncertainty. Although many studies have been published in recent years, there is still a paucity of authoritative evidence-based indications useful for guiding the prescription of these drugs during pregnancy, and the data from the literature are complex and require expert judgment to draw clear conclusions. Methods: For the elaboration of the consensus, we have involved the scientific societies of the sector, namely, the Italian Society of Toxicology, the Italian Society of Neuropsychopharmacology, the Italian Society of Psychiatry, the Italian Society of Obstetrics and Gynecology, the Italian Society of Drug Addiction and the Italian Society of Addiction Pathology. An interdisciplinary team of experts from different medical specialties (toxicologists, pharmacologists, psychiatrists, gynecologists, neonatologists) was first established to identify the needs underlying the consensus. The team, in its definitive structure, includes all the representatives of the aforementioned scientific societies; the task of the team was the evaluation of the most accredited international literature as well as using the methodology of the “Nominal Group Technique” with the help of a systematic review of the literature and with various discussion meetings, to arrive at the drafting and final approval of the document. Results: The following five areas of investigation were identified: (1) The importance of management of anxiety and depressive disorders in pregnancy, identifying the risks associated with untreated maternal depression in pregnancy. (2) The assessment of the overall risk of malformations with the antidepressant and anxiolytic drugs used in pregnancy. (3) The evaluation of neonatal adaptation disorders in the offspring of pregnant antidepressant/anxiolytic-treated women. (4) The long-term outcome of infants’ cognitive development or behavior after in utero exposure to antidepressant/anxiolytic medicines. (5) The evaluation of pharmacological treatment of opioid-abusing pregnant women with depressive disorders. Conclusions: Considering the state of the art, it is therefore necessary in the first instance to frame the issue of pharmacological choices in pregnant women who need treatment with antidepressant and anxiolytic drugs on the basis of data currently available in the literature. Particular attention must be paid to the evaluation of the risk/benefit ratio, understood both in terms of therapeutic benefit with respect to the potential risks of the treatment on the pregnancy and on the fetal outcome, and of the comparative risk between the treatment and the absence of treatment; in the choice prescription, the specialist needs to be aware of both the potential risks of pharmacological treatment and the equally important risks of an untreated or undertreated disorder.