Miracle-dz/UniFAR-FTUs huggingface dataset:
Nr1d1 Mediated Cell Senescence in Mouse Heart-Derived Sca-1+CD31− Cells

Aim: Sca-1+CD31− cells are resident cardiac progenitor cells, found in many mammalian tissues including the heart, and able to differentiate into cardiomyocytes in vitro and in vivo. Our previous work indicated that heart-derived Sca-1+CD31− cells increased the Nr1d1 mRNA level of Nr1d1 with aging. However, how Nr1d1 affects the senescence of Sca-1+CD31− cells. Methods: Overexpression and knockdown of Nr1d1 in Sca-1+CD31− cells and mouse cardiac myocyte (MCM) cell lines were performed by lentiviral transduction. The effects of Nr1d1 abundance on cell differentiation, proliferation, apoptosis, cell cycle, and transcriptomics were evaluated. Moreover, binding of Nr1d1 to the promoter region of Nr4a3 and Serpina3 was examined by a luciferase reporter assay. Results and Conclusions: Upregulation Nr1d1 in young Sca-1+CD31− cells inhibited cell proliferation and promoted apoptosis. However, depletion of Nr1d1 in aged Sca-1+CD31− cells promoted cell proliferation and inhibited apoptosis. Furthermore, Nr1d1 was negatively associated with cell proliferation, promoting apoptosis and senescence-associated beta-galactosidase production in MCMs. Our findings show that Nr1d1 stimulates Serpina3 expression through its interaction with Nr4a3. Nr1d1 may therefore act as a potent anti-aging receptor that can be a therapeutic target for aging-related diseases.
Probabilistic assessment of ACI 318 minimum thickness requirements for two-way slabs

ABSTRACT Following the ACI 318 design code and to control deflections, structural engineers must adhere to minimum thickness requirements for reinforced concrete (RC) slabs. However, these requirements do not account for various influencing variables such as span length, aspect ratio and applied live load. This paper assesses the adequacy of the ACI 318 minimum thickness requirements for two-way RC slabs through a probabilistic approach using Monte Carlo simulation (MCS). The probability distribution of the span-to-depth ratio (SDR) was fitted to the Burr distribution, and the goodness-of-fit test was applied to assess the fitting. Then, the effect of span length, aspect ratio, and live load on the maximum allowable SDR was evaluated, considering all material properties and applied loads as random variables. The analyses have shown a high correlation between the studied variables and the SDR. Therefore, multiple regression analysis was carried out, and four prediction models were proposed to conservatively predict the SDR for two-way slabs. The accuracy of the prediction models was statistically tested by comparing calculated to predicted SDR values, and a 10% maximum relative error was exhibited. The proposed prediction models were accurate for all practical ranges of span length, aspect ratio and live load in two-way slabs.
Chromospheric Activity Induced by Short-Period Planets

I have detected the first evidence of magnetic interaction between an extrasolar planet and its parent star. Of the > 100 extrasolar planets discovered to date, approximated 20% of them are '51 Peg'-type with a Jupiter-mass planet orbiting within 0.1 Astronomical Units. The systems with the tightest orbits (P orb < 5 days) offer the best opportunity to observe a tidal or magnetic interaction between the planet and its parent star. Stellar chromospheric activity could be modulated in two ways. For magnetic interaction, the modulation is predicted to be at the orbital period with enhancement near the sub-planetary point (</> = 0). Tidal interaction would stimulate activity with a period of Porb/2 with enhancements near both <j> — 0 and 0.5. The Ca II H & K line reversals at 3968 and 3933 A are the best chromospheric activity indicators visible from the ground. I observed the H & K emission cores of five sun-like stars with short period planets: r Boo, HD179949, HD 209458, 51 Peg and v And. I acquired 10 nights of high resolution (« 110,000), high S/N 500) data at the Canada-France-Hawaii Telescope over three semesters: 2001 August, 2002 July and 2002 August. The superb quality of the data yielded differential radial velocities to better than 20 m s" . Fitting known orbital parameters such as period and velocity amplitude to the radial velocities, I determined updated ephemerides and accurate orbital phases. Night-to-night modulation of the H & K emission was observed in 4 of the 5 stars. Our two standards, r Ceti and the sun, showed no such variability. Three of the 4 'active' stars did not appear to show a correlation between activity and orbital phase. However, HD 179949, the star with the tightest planetary orbit (P orb = 3.093 days), repeatedly showed a 2.5% enhancement in the Ca II K emission leading the sub-planetary point by 0.17 in phase. A decrease was observed when the planet was behind the star. The activity persisted for 108 orbits (or 37 stellar rotations). This is the first detection of magnetic interaction between a star and its giant planet, as well as a first glimpse of an extrasolar planetary magnetosphere. As an exaggerated example of enhanced chromospheric activity induced by a companion, we observed ER Vul, an RS CVn binary system with Port, — 17 hours. Using the same setup at the CFHT, we obtained Ca II H &; K spectra with nearly complete phase coverage. This system shows increased activity near the sub-binary longitudes of both components. There is also evidence of Ca II emission from between the two stars. Observations of K 1 Ceti, an active single dwarf star, show periodic H & K activity modulated by the stellar rotation (P r o t — 9.4 d.) with an enhancement level of « 7%. The stimulating mechanism for its activity is unknown and may be evidence of a yet unseen, nearby companion.
Yielding in Framed Structures under Dynamic Loads

The inelastic response of framed structures depends on the interaction between forces exisitng at sections where yielding occurs. Force-displacement relations, incorporating the effects of such interactions, are derived for a typical element of the framed structures. The application of these relations to derive the equations of motion of framed structures is analyzed and illustrated for a simple space-frame. The dynamic response of the frame is obtained and it is shown that inelastic interaction between forces during yielding has a significant effect on the response.
Interpretable Success Prediction in Higher Education Institutions Using Pedagogical Surveys

The indicators of student success at higher education institutions are continuously analysed to increase the students’ enrolment in multiple scientific areas. Every semester, the students respond to a pedagogical survey that aims to collect the student opinion of curricular units in terms of content and teaching methodologies. Using this information, we intend to anticipate the success in higher-level courses and prevent dropouts. Specifically, this paper contributes with an interpretable student classification method. The proposed solution relies on (i) a pedagogical survey to collect student’s opinions; (ii) a statistical data analysis to validate the reliability of the survey; and (iii) machine learning algorithms to classify the success of a student. In addition, the proposed method includes an explainable mechanism to interpret the classifications and their main factors. This transparent pipeline was designed to have implications in both digital and sustainable education, impacting the three pillars of sustainability, i.e.,economic, social, and environmental, where transparency is a cornerstone. The work was assessed with a dataset from a Portuguese higher-level institution, contemplating multiple courses from different departments. The most promising results were achieved with Random Forest presenting 98% in accuracy and F-measure.
TRANSPOSABLE ELEMENTS ALTER GENE EXPRESSION AND MAY IMPACT RESPONSE TO CISPLATIN THERAPY IN OVARIAN CANCER

Cisplatin is widely employed for cancer treatment; therefore, understanding resistance to this drug is critical for therapeutic practice. While studies have delved into differential gene expression in the context of cisplatin resistance, findings remain somewhat scant. In this study, we employed RNA-seq, ATAC-seq, and in-depth bioinformatics analyses to perform a detailed investigation of the cellular transcriptome, centering on Transposable Elements (TEs) expression in ovarian cancer cell lines both sensitive and resistant to cisplatin treatment. Our results reveal that cisplatin therapy alters the expression of protein-coding genes, but also key TEs, including LINE1, Alu, and endogenous retroviruses, in both cisplatin-sensitive and -resistant cell lines. By co-expressing with downstream genes or by creating chimeric transcripts with host genes at their insertion sites, these TEs seem to control the expression of protein-coding genes, including tumor-related genes. Notably, our model uncovers TEs influencing the expression of cancer genes and cancer pathways. Collectively, our findings indicate that TEs alterations associated with cisplatin treatment occur in critical cancer genes and cellular pathways synergically. In conclusion, this research highlights the importance of considering the entire spectrum of transcribed elements in the genome, especially TE expression, for a complete understanding of complex models like cancer response to treatment.
Type Ia Supernovae in the First Few Days: Signatures of Helium Detonation versus Interaction

The mechanism for the blue and excessive early-phase emission reported within the first few days of several Type Ia supernovae (SNe Ia) has been suggested to be the interaction of the SN ejecta with either a non-degenerate companion star or circumstellar media (CSM). Recently, another mechanism has been suggested within the context of the He-detonation-triggered SN scenario (i.e., the double-detonation scenario or He-ignited violent merger), in which the radioactive isotopes in the outermost layer of the SN ejecta produce the early emission. In this paper, we investigate the properties of the excessive early-phase emission predicted by these different scenarios. The early flash in the He-detonation scenario shows behaviors different from those in the companion/CSM interaction scenarios. Especially clear diagnostics are provided once the behaviors in the UV and in the optical are combined. The spectra synthesized for the He-detonation scenario are characterized by absorptions due to He-detonation products, which develop in the decay phase. We further expect a relation between the properties of the early-phase flash and those of the maximum SN emission, in such a way that the brighter and slower initial flash is accompanied by a more substantial effect from the additional absorptions (and reddening). This relation, however, should be considered together with the maximum luminosity of the SN, since the larger luminosity suppresses the effect of the additional absorption. With these expected features, we address the possible origins of the excessive early-phase emission observed in several SNe.
Foreign and domestic private investment in developing and emerging economies: A review of literature

Abstract This study surveys and synthesizes the literature on foreign and domestic private investment over the period 1980–2022 with evidence from developing and emerging economies. The documentary sources method was used to examine one hundred and forty (140) peer-reviewed articles (selected based on source, journal of publication, database, time frame, relevance language, geographical restrictions, and search descriptions) published in a broad range of internationally recognized journals, with special analytical focus placed on forty (40) recent articles. It provides fresh evidence that literature on overall private investment and that of foreign direct investment have been given paramount interest and attention, but domestic private investment has received relatively diminutive attention to date. This review will serve as a roadmap, indicating the current state, contributions made, and unsolved issues in the extant studies as well as situating works to enrich the literature. It, therefore, offers specific directions for researchers, academics, and practitioners.
In Vivo Modification of Microporous Structure in Bacterial Cellulose by Exposing Komagataeibacter xylinus Culture to Physical and Chemical Stimuli

Bacterial cellulose (BC) samples were obtained in a static culture of K. xylinus under the effect of a low-intensity magnetic field, UV light, NaCl, and chloramphenicol. The effect of such stimuli on the amount of BC produced and its production rate, specific area, pore volume, and pore diameter were evaluated. The polysaccharide production was enhanced 2.28-fold by exposing K. xylinus culture to UV light (366 nm) and 1.7-fold by adding chloramphenicol (0.25 mM) to the medium in comparison to BC control. All the stimuli triggered a decrease in the rate of BC biosynthesis. BC membranes were found to be mesoporous materials with an average pore diameter from 21.37 to 25.73 nm. BC produced under a magnetic field showed the lowest values of specific area and pore volume (2.55 m2 g−1 and 0.024 cm3 g−1), while the BC synthesized in the presence of NaCl showed the highest (15.72 m2 g−1 and 0.11 cm3 g−1). FTIR spectra of the BC samples also demonstrated changes related to structural order. The rehydration property in these BC samples is not mainly mediated by the crystallinity level or porosity. In summary, these results support that BC production, surface, and structural properties could be modified by manipulating the physical and chemical stimuli investigated.
An approach to improving the Lindley estimator

Abstract Consider a p-variate (p 4) normal distribution with mean and identity covariancematrix. Using a simple property of noncentral chi square distribution, the generalizedBayes estimators dominating the Lindley estimator under quadratic loss are given basedon the methods of Brown, Brewster and Zidek for estimating a normal variance. Thisresult can be extended the cases where covariance matrix is completely unknown orP= ˙ 2 I for an unknown scalar ˙ 2 . Keywords: Generalized Bayes estimator, Lindley estimator, normal distribution,quadratic loss. 1. Introduction Let X = (X 1 ; ;X p ) 0 be a p-variate random vector normally distributed with unknownmean and the identity covariance matrix I. Then we consider the problem of estimatingby (X) relative to the quadratic loss function k(X) k 2 = ((X) ) 0 ((X) ). Every estimator will be evaluated by the risk function R(;(X)) = Ek(X) k 2 . Stein (1956) showed that the usual estimator X is inadmissible for p3 and Jamesand Stein (1961) constructed the improved estimator,
Optical Gas-Cell Dynamic Adsorption in a Photoacoustic Spectroscopy-Based SOF2 and SO2F2 Gas Sensor

SO2F2 and SOF2 are the main components from the decomposition of insulation gas SF6. Photoacoustic spectroscopy (PAS) has been acknowledged as an accurate sensing technique. Polar material adsorption for SO2F2 and SOF2 in the photoacoustic gas cell of PAS may affect detection efficiency. In this paper, the optical gas-cell dynamic adsorptions of four different materials and the detection effects on SO2F2 and SOF2 are theoretically analyzed and experimentally demonstrated. The materials, including grade 304 stainless steel (SUS304), grade 6061 aluminum alloy (Al6061), polyvinylidene difluoride (PVDC), and polytetrafluoroethylene (PTFE), were applied inside the optical gas cell. The results show that, compared with metallic SUS304 and Al6061, plastic PVDC and PTFE would reduce the gas adsorption of SO2F2 and SOF2 by 10 to 20% and shorten the response time during gas exchange. The complete gas defusing period in the experiment was about 30 s. The maximum variations of the 90% rising time between the different adsorption materials were approximately 3 s for SO2F2 and 6 s for SOF2, while the generated photoacoustic magnitudes were identical. This paper explored the material selection for PAS-based gas sensing in practical applications.
Sensing and control in symmetric networks*

ABSTRACT In engineering applications, one of the major challenges today is to develop reliable and robust control algorithms for complex networked systems. Controllability and observability of such systems play a crucial role in the design process. The underlying network structure may contain symmetries – caused, for example, by the coupling of identical building blocks – and these symmetries lead to repeated eigenvalues in a generic way. This complicates the design of controllers since repeated eigenvalues decrease the controllability of the system. In this paper, we will analyze the relationship between the controllability and observability of complex networked systems and symmetries using results from group representation theory. Furthermore, we will propose an algorithm to compute sparse input and output matrices based on projections onto corresponding isotypic components. We will illustrate our results with the aid of two guiding examples, a network with D4 symmetry and the Petersen graph.
Guiding Aid for Visually Impaired

: Visual impairment is where the person either can’t see or his vision has weakened to large extent. There is no alternative technique for visually impairment, but to some extent it can be trim down with devices, smart sticks and sensors. Although many techniques are there for helping out through electronic travelling aid, cost effective and minimum hardware solution was the expectation by impaired. The device which can identify and classify the object ahead of impaired person is needed so that person can be prevented from the accident. In this paper, a unified model of YOLO (You Only Look Once) is used for detection of object ahead of camera. The proposed model is based on phenomena of detecting small object and good detection speed of yolov3 makes system more robust. Once detected, labeled objects name is converted from text to speech, so that blind person can be alerted from colliding with obstacles. This paper is one step in the direction to help them by exactly classifying, detecting and localizing target object along with providing voice based guideline. The proposed model has proved accuracy in many real time scenes.
Association between vitamin D levels in early pregnancy and gestational diabetes mellitus: A systematic review and meta-analysis

Background: This meta-analysis aimed to pool all the available data to provide a well-powered assessment of the role of maternal Vitamin D levels in developing gestational diabetes mellitus (GDM) because already published studies evaluating this association are small in sample size and yielded conflicting findings. Material and Methods: A systematic review and meta-analysis of observational studies was performed. We searched electronic databases (PubMed and Cochrane Central) from inception to April 2021 for published and unpublished observational studies that determined the association between the reduction of Vitamin D levels and the risk of developing GDM in pregnant women. Results from studies were pooled as mean ± standard deviation (SD) and odds ratios (OR) using the random-effects model. Results: Forty-four studies, consisting of 37,838 pregnant women were included in this meta-analysis. Dichotomous studies showed a significant association between maternal Vitamin D deficiency and increased risk of GDM (OR = 1.38; 95% confidence interval [CI] = 1.21-1.57; P < 0.00001). Studies with continuous data also showed a significant association between maternal Vitamin D deficiency and the risk of developing GDM (weighted mean difference (WMD): –5.14 nmol/L, 95% CI = –6.28 to -4.00; P < 0.00001). Moderate heterogeneity was also detected. Conclusion: In conclusion, all studies demonstrated that lower levels of maternal serum Vitamin D were associated with a higher risk of developing GDM in pregnancy.
Underlying Security Transmission Design for Orthogonal Time Frequency Space (OTFS) Modulation

With the aim of ensuring secure transmission in high-mobility wireless scenarios, this paper proposes a 2D permutation-aided Orthogonal Time Frequency Space (OTFS) secure transmission scheme, which uses the Gosudarstvennyi Standard (GOST) algorithm to perform disturbance control on the OTFS modulation domain. Furthermore, we develop an improved SeLective Mapping (SLM) algorithm, which can significantly improve the Peak-to-Average Power Ratio (PAPR) problem with very low complexity. In addition, we carry out the security analysis, investigating the proposed scheme’s resistance performance to a range of effective attacks. Finally, our numerical results show that our proposed transmission scheme can guarantee the underlying security property of OTFS.
Nationwide assessment of ambient monthly fine particulate matter (PM2.5) and the associations with total, cardiovascular and respiratory mortality in the United States

High air pollution events spanning multiple months and caused by environmental perturbations such as droughts and wildfires are increasing in frequency, intensity and duration due to climate change. While both daily and annual exposure to fine particulate matter (PM2.5) have regulatory standards in the United States, mid-scale exposure at the monthly interval remains unregulated and the public health impacts of mid-duration ambient air pollution exposure are poorly understood. These present a new public health challenge in mitigating harmful effects of persistent ambient air pollution on community health. We executed an ecological study of the associations between monthly mean PM2.5 exposure with total, cardiovascular and respiratory mortality counts, stratified by age, sex and race, in 698 counties in the conterminous United States from 1999 to 2018. A two-stage model was used to estimate the risk and number of deaths associated with this exposure timescale reported as incidence rate ratios (IRRs) and absolute risk differences per million persons (ARDs). Increased mortality of all types was positively associated with a 10 μg m−3 monthly change in PM2.5 exposure (total mortality IRR: 1.011, 95% confidence interval (CI): (1.009, 1.013), ARD: 8.558, 95% CI: (6.869, 10.247); cardiovascular mortality IRR: 1.014, 95% CI: (1.011, 1.018), ARD: 3.716, 95% CI: (2.924, 4.509); respiratory mortality IRR: 1.016, 95% CI: (1.011, 1.023), ARD: 1.676, 95% CI: (1.261, 2.091)). Our results suggest elderly, non-black minorities and males to be the most impacted subgroups along with metropolitan and highly socially vulnerable communities. Heterogeneities in the magnitude and direction of association were also detected across climate regions of the United States. These results elucidate potential effects of monthly PM2.5 on mortality and demonstrate a need for future health policies for this currently unregulated interval of ambient air pollution exposure.