Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison between the Radiographic and Clinical Rates of Success for TheraCal and MTA in Primary Tooth Pulpotomy within a 12-Month Follow-Up: A Split-Mouth Clinical Trial

Background The present study was conducted for contrasting the efficacy of TheraCal and MTA for primary molar pulpotomy. Methods During the current split-mouth randomized clinical trial, 90 bilateral primary molars from 45 healthy 5- to 8-year-old children were pulpotomized using TheraCal in one bilateral tooth and MTA in the other, randomly. Glass ionomer (GI) was used to cover these materials. Then, the treated teeth were restored with stainless steel crowns (SSC) and followed up clinically and radiographically at months 6 and 12 after treatment for any pulpotomy failure indications. Finally, data were analyzed by chi-square test considering p value < 0.05 as statistically significant. Results Among 82 teeth available at the final follow-up session, the total success rates were 98.1% and 99.3% for TheraCal and MTA, respectively, showing no significant difference between the two groups (p > 0.05). Conclusion TheraCal can be used as an alternative material for pulpotomy of primary teeth instead of MTA.
DOMINATION IN GRAPHS WITH MINIMUM DEGREE SIX

A set D of vertices of a graph G = (V(G),E(G)) is called a dominating set if every vertex of V(G) - D is adjacent to at least one element of D. The domination number of G, denoted by , is the size of its smallest dominating set. Haynes et al.[5] present a conjecture: For any graph G with ,. When , the conjecture was proved in [7], [8], [10], [12] and [13] respectively. In this paper we prove that every graph G on n vertices with has a dominating set of order at most . Thus the conjecture was completely proved.
Time to Viral Load Suppression and Its Predictors Among Adult Patients on Antiretro Viral Therapy in Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital, Hossana, Southern Ethiopia

Background Unsuppressed viral load count in patients on anti-retroviral therapy is linked to poorer survival and increased transmission of the virus. Despite efforts made in Ethiopia, the viral load suppression rate is still low. Objective To estimate time to viral load suppression and predictors of viral load suppression among adults on anti-retroviral therapy in Nigist Elen Mohamed Memorial Comprehensive Specialized Hospital, 2022. Materials and Methods A retrospective follow-up study was conducted among 297 adults on anti-retroviral therapy from January 1, 2016, to December 31, 2021. A simple random sampling technique was used to select study participants. The data were analyzed using STATA 14. Cox regression model was used. The adjusted hazard ratio with 95% CI was estimated. Results A total of 296 records of patients on anti-retroviral therapy were included in this study. The incidence of viral load suppression was 9.68 per 100-person months. The median time for viral load suppression was 9 months. Patients with baseline CD4 ≥200 cell/mm3 (AHR: 1.87; 95% CI = 1.34, 2.63), who had no opportunistic infections (AHR = 1.84; 95% CI = 1.34, 2.52), who were on WHO clinical stage-I or II (AHR = 2.12; 95% CI = 1.18, 3.79) and who have taken tuberculosis preventive therapy (AHR = 2.24; 95% CI = 1.66, 3.02) had higher hazards of viral load suppression. Conclusion The median time for viral load suppression was 9 months. Patients who had no opportunistic infection, with higher CD4 count, on WHO clinical stage-I or II, who have taken tuberculosis preventive therapy had higher hazards of viral load suppression. Careful monitoring and counseling of patients with CD4 levels lower than 200 cells/mm3 are necessary. Careful monitoring and counseling of patients in advanced WHO clinical stages, with lower CD4 count levels and with opportunistic infections is crucial. Strengthening the provision of tuberculosis preventive therapy is warranted.
ADVANCES IN RIGID-FLEXIBLE-LIQUID-CONTROL COUPLING DYNAMICS OF SPACECRAFT

This paper summarized the recent research progress about the attitude nonlinear dynamics of liquid filled spacecraft and coupling dynamics of multi-body-liquid-control nonlinear systems. The developments and achievements in some important research fields, such as dynamics modeling of liquid-filled spacecraft with flexible appendage, liquid sloshing dynamics modeling, nonlinear theory and method for spacecrafts with coupling of multi-body-liquid-control, numerical simulation and experiments, are reviewed. The prospects of future researches on concerned topics are also presented in the final section.
High-energy particles from SN-explosions near the Galactic center

Abstract Several supernovae exploding in a compact cluster of massive stars generate a galactic outflow with embedded shock waves. Based on numerical simulations for an expanding superbubble above the Galactic center we find that these individual waves generated by the repeated SN-explosions, interact with each other and finally coalesce into a single strong shock at a distance of 5 kpc above the Galactic plane at about 5 ċ 106 years after outbreak. The resulting shock with a Mach number M ≃ 10 propagates up to 100 kpc in less than 108 years. The time-dependent mass an energy loss out of the superbubble affects the further evolution of the outflow. In such long lasting shock waves energetic particles can be accelerated above the knee of 1015 eV already near the galactic plane by a first-order Fermi-mechanism. The additional pressure gradients from such cosmic rays lead to further accelerations of the galactic outflow since these ultra-relativistic particles suffer less from adiabatic losses than the thermal gas.
The relation between physical properties of galaxies and their environmental geometry in the Sloan Digital Sky Survey

The large-scale galaxy distribution consists of galaxies concentrated in clusters and along lamentlike structures, which are found on the edges of mainly empty, void-like regions in the Universe. These local environments can re ect di erent galaxy evolution histories that determine the observed photometric and spectroscopic properties. To classify di erent galaxy environments in surveys or numerical simulations, the local density of each galaxy can be estimated leading e.g. to the morphology-density relation. In this thesis, the local geometry of each galaxy is estimated using the Scaling Index Method (SIM), which characterizes the shape of local galaxy distributions, e.g. lament-like galaxy neighborhoods. This new SIM application results in structural information about the galaxy environments that is correlated with a set of photometric and spectroscopic galaxy properties. Speci cally, a volume-limited sample (0:05 < z < 0:1) with 93873 galaxies was extracted from the Sloan Digital Sky Survey (SDSS) data and the local density and geometry were estimated for a set of radii. The stability of the geometry estimation, classi cation errors, and the in uence of the redshift space distortions were investigated using bootstrap analysis, structure prototypes, and mock catalogues, respectively. A set of galaxy luminosities, colors, morphology indices, and indicators of star formation were extracted from the SDSS data and, in addition, the star formation rate was calculated for all galaxies. The resulting relations indicate that physical galaxy properties do not only correlate with the local density, but also with the local geometry estimated by SIM leading e.g. to a morphology-geometry relation. According to these ndings, galaxies in lament-like regions are bluer, contain more late-type morphologies, and have a higher star formation than galaxies in clusters. Compared with galaxies in void-like regions, galaxies in lament-like regions are redder, contain more early-type morphologies, and have a lower star formation. After correcting the relations for the in uence of the local density, the dependence of the galaxy properties on the local geometry was still observed. This indicates that the local geometry can extend the density-based description of the galaxy environments. The presented relations suggest that galaxies outside high-density regions can still be a ected by the local environment during their evolution, e.g. in lament-like structures, resulting in di erent evolution histories and observable properties.
“I Am Afraid of Positioning my Baby in Prone”: Beliefs and Knowledge about Tummy Time Practice

Objective To identify beliefs and knowledge about tummy time (TT) practice and its repercussions on motor development. Methods Longitudinal study carried out with parents/caregivers of infants older than 30 days of life. Two assessments were performed. A structured interview was conducted, while the babies were between one and six months old to identify beliefs, knowledge about TT, and the motor milestone achievement expected for the age. At six to 12 months, the risk of motor development delay was tracked using the survey of well-being of young infant questionnaire (SWYC). Results 41 families responded to the SWYC questionnaire (21 were allocated to the TT group). 31.70% reported that it was not important to put the infants in a prone position while awake, and 70.70% said they are afraid their babies would become breathless when positioned in a prone position. 85.70% of infants from the TT group showed typical development, while 55% of the control group showed atypical development for their age (p = 0.01). Only three infants from the control group were at risk of delayed motor development (p = 0.10). Conclusions Most of the families feel insecure about proning their babies and fear breathlessness when positioned. Acquisition of motor milestones prevailed in the TT group, suggesting an association between TT practice and motor milestone achievement.
Development and Validation of a Risk Nomogram Model for Predicting Constipation in Patients with Type 2 Diabetes Mellitus

Purpose Constipation is a common complication of diabetic patients, which has a negative impact on their own health. This study aims to establish and internally validate the risk nomogram of constipation in patients with type 2 diabetes mellitus (T2DM) and to test its predictive ability. Patients and Methods This retrospective study included 746 patients with T2DM at two medical centers. Among the 746 patients with T2DM, 382 and 163 patients in the Beilun branch of the First Affiliated Hospital of Zhejiang University were enrolled in the training cohort and the validation cohort, respectively. A total of 201 patients in the First Affiliated Hospital of Nanchang University were enrolled in external validation cohorts. The nomogram was established by optimizing the predictive factors through univariate and multivariable logistic regression analysis. The prediction performance of the nomogram was measured by the area under the receiver operating characteristic curve (AUROC), the calibration curve, and the decision curve analysis (DCA). Furthermore, its applicability was internally and independently validated. Results Among the 16 clinicopathological features, five variables were selected to develop the prediction nomogram, including age, glycated hemoglobin (HbA1c), calcium, anxiety, and regular exercise. The nomogram revealed good discrimination with an area under the receiver operating characteristic curve (AUROC) of 0.908 (95% CI = 0.865–0.950) in the training cohort, and 0.867 (95% CI = 0.790–0.944) and 0.816 (95% CI = 0.751–0.881) in the internal and external validation cohorts, respectively. The calibration curve presented a good agreement between the prediction by the nomogram and the actual observation. The DCA revealed that the nomogram had a high clinical application value. Conclusion In this study, the nomogram for pretreatment risk management of constipation in patients with T2DM was developed which could help in making timely personalized clinical decisions for different risk populations.
Electrical Properties and Lifetime Prediction of an Epoxy Composite Insulation Material after Hygrothermal Aging

In this study, we conducted the hygrothermal aging of an epoxy composite insulation material at 95% relative humidity (RH) and temperatures of 95 °C, 85 °C, and 75 °C. We measured electrical properties, including volume resistivity, electrical permittivity, dielectric loss, and breakdown strength. It was found to be impossible to estimate a lifetime based on the IEC 60216 standard, because it uses breakdown strength as its criterion even though breakdown strength hardly changes in response to hygrothermal aging. In analyzing variations in dielectric loss with aging time, we found that significant increases in dielectric loss correlated well with lifetime prediction based on the mechanical strength of the material, as described in the IEC 60216 standard. Accordingly, we propose an alternative lifetime prediction criterion by which a material is deemed to reach its end of life when its dielectric loss reaches 3 and 6–8 times the unaged value at 50 Hz and low frequencies, respectively.
Methods for Analyzing the Information Content of Large Neuronal Populations

Deciphering how neurons represent the external world is a fundamental goal in neuroscience. This requires identifying which features in the population response in a single trial are informative about the stimulus. Neurons can code stimuli using both space and time. Individual neurons show differential selectivity to certain stimuli across space at coarse time scales while representing others by modulating their activity at fine time scales. The information content in the population is modified from neural interactions across space and time. While this emphasizes the need to examine population responses across space and time, analyzing a population of hundreds of neurons is challenging when only a limited number of trials are available due to the high dimensionality of the joint spatiotemporal response space. We addressed this by introducing a novel method called space-by-time non-negative matrix factorization. The method describes the population activity with a low dimensional representation consisting of spatial modules, groups of neurons that are coactivated, and temporal modules, patterns that describe how these neurons modulate their spiking across time. The population activity in each trial is described by a set of coefficients, that indicate the level of activation of each spatial and temporal module in the trial. We used this method to analyze datasets from auditory, visual and somatosensory modalities. It identified physiologically meaningful spatial and temporal modules that described how each population coded stimuli in space and time. It further indicated the differential contributions of spatial and temporal dimensions for the population code. Particularly, the first spike latency was demonstrated to be informative at the population level. We refined the method to model the sub-Poisson, Poisson and supra-Poisson variability typically observed in spike counts. This refinement demonstrated enhanced capacity in identifying spatial and temporal modules from empirical data and indicated that the activity of a neural population code stimuli using multiple representations. Our findings indicate that our method is scalable to large populations of neurons and has the capacity to efficiently identify biologically meaningful and informative low dimensional representations.
Application of Seasonal SVR Model with Genetic Algorithm and Tabu Search on Prediction

The monthly electricity consumption data is fluctuant over time, but it also has regular pattern of variation. In order to predict the electricity consumption, a seasonal support vector regression model based on genetic algorithm and tabu search (GATS) is proposed. In this model, a hydride strategy of genetic algorithm and tabu search is applied to parameter optimization. The hydride strategy can overcome the drawbacks of genetic algorithm, such as the deficiency of climbing ability. The least absolute criterion is used in the model instead of least square criterion because it is more stable. In addition, a seasonal adjustment method is adopted. It can improve the accuracy of prediction. At last, the seasonal GATS-SVR model is used to predict the electricity consumption. It also compares with GATS-SVR, original SVR and ARIMA (1,1,1) models and the result shows the SVR model is better than these models in prediction accuracy.
Abelian Sandpile Model Of A Directed Multi-graph

In this project, we study the combinatorics, algebraic and algebraic geometry of an Abelian Sandpile Model (ASM). We aim to explore the Algebraic properties of the Abelian Sandpile Model (ASM). We also aim to study the algebraic geometry of the Abelian Sandpile Model (ASM). In this model, we consider a directed multi graph with a sink vertex which is accessible from every other vertex and associates with it a commutative monoid M , a commutative semigroup S and a commutative Group G which finally turns out to be the sandpile monoid, sandpile semigroup and sandpile group respectively. We observe that the sandpile group is the unique minimal ideal of the sandpile monoid [21]. We study the combinatorial structure of our model and the connections between the algebraic structure of the sandpile monoid, the sandpile semigroup and the sandpile group.
Options for treatment of a small glottic gap

Glottic insufficiency, or glottic gap as it is commonly called, is a common cause of dysphonia, producing symptoms of soft voice, decreased projection, and vocal fatigue. The etiology of glottic gap can occur from issues related to muscle atrophy, neurologic impairment, structural abnormalities, and trauma related causes. Treatment of glottic gap can include surgical and behavioral therapies or a combination of the two. When surgery is chosen, closure of the glottic gap is the primary goal. Options for surgical management include injection medialization, thyroplasty, and other methods of medializing the vocal folds.
Variable outflow in the O6ef star Lambda Cephei

The paper analyzes spectroscopic data from the UV region using the Copernicus satellite on six consecutive days in September, 1975. It is found that the P Cygni lines of C III at 1175 A and of N V at 1238 and 1242 A show little or no variation in their profiles. The results indicate that the changes in the 4686-A H II and H-alpha can be interpreted as a variable outflow near the surface of the star, either due to random density inhomogeneities propagating outward, or the effects of rotation of a nonspherical star, or both. Insufficient data exist at present to distinguish between periodic and random fluctuations.
Knockdown of ASF1B inhibits cell proliferation, migration, invasion and cisplatin resistance in gastric cancer through the Myc pathway

Gastric cancer (GC) is a prevalent malignancy in the digestive system that poses a serious threat to human health. Anti-silencing function 1B (ASF1B) performs an important role in the progression of numerous tumors; however, its function in GC still requires further elucidation. Using data from The Cancer Genome Atlas, the expression levels of ASF1B in GC tissues were analyzed and a survival curve for high-ASF1B expression and low-ASF1B expression groups was plotted using the Kaplan-Meier method. Reverse transcription-quantitative PCR was performed to evaluate ASF1B expression in GC tissues and cells. Small interfering RNAs targeting ASF1B were transfected into HGC-27 and AGS cells to silence ASF1B expression. Cell viability, proliferation, migration, invasion, and apoptosis in HGC-27 and AGS cells was assessed using cell counting kit-8 assay, colony formation assay, wound healing assay, Transwell assay and flow cytometry, respectively. The protein changes were assessed using western blotting. Gene Set Enrichment Analysis (GSEA) was used to identify ASF1B related pathways. The results demonstrated that ASF1B expression was increased in GC tissues and cells compared with adjacent healthy tissues and normal cells (GES-1), and high expression of ASF1B was associated with poor survival outcomes in patients with GC. Silencing ASF1B inhibited cell viability, colony formation, migration, invasion and cisplatin resistance, while also attenuating the apoptotic capability of HGC-27 and AGS cells. GSEA showed that ASF1B could activate the Myc-targets-v1 and Myc-targets-v2 pathways. Moreover, silencing ASF1B inhibited the Myc pathway-related proteins Myc, minichromosome maintenance (MCM)4 and MCM5. Overexpression of Myc reversed the inhibitory effect of ASF1B silencing on AGS cell proliferation, invasion and cisplatin resistance. In conclusion, the results indicate that knockdown of ASF1B may suppress GC cell proliferation, migration and invasion, and promote cell apoptosis and cisplatin sensitivity by modulating the Myc pathway, thereby offering novel possibilities for reversing cisplatin resistance in GC.
Ventilation performance of multi-room in residential building with the proposed novel mechanical ventilation system: A case study

Poor indoor air quality in residential buildings always threatens human health, such as sick building syndrome (SBS), respiratory diseases and low sleep quality. Although fresh air can dilute the concentration of air pollution, the widely used natural ventilation is uncontrolled and its ventilation rate is usually insufficient. Even in the indoor environments of residential buildings where the mechanical ventilation system is installed, different forms of ventilation systems have their unique problems. To create a healthy indoor environment, this investigation proposed a novel push-relay-pull mechanical ventilation system (fresh air supplying system) achieved by combining the mechanical air supply system (push), intermediate relay system (relay) and mechanical exhaust system (pull). This investigation further quantitatively evaluated the performance of the proposed system by comparing it with the traditional mechanical fresh air ventilation system using the age of air, infection risk and carbon dioxide (CO2) concentration indexes. The proposed system only needs to install one set of ducts as the traditional mechanical ventilation systems. It can ensure that all rooms would maintain good air quality, and also prevent the spread of pollutants, reduce the average infection risk of people inside a residential building and are conducive to epidemic prevention and control.
Weak solutions for generalized large-scale semigeostrophic equations

We prove existence, uniqueness and continuous dependence on initial data of global weak solutions to the generalized large-scale semigeostrophic equations with periodic boundary conditions. This family of Hamiltonian balance models for rapidly rotating shallow water includes the $L_1$ model derived by R. Salmon in 1985 and its 2006 generalization by the second author. The analysis is based on the vorticity formulation of the models supplemented by a nonlinear velocity-vorticity relation. The results are fundamentally due to the conservation of potential vorticity. While classical solutions are known to exist provided the initial potential vorticity is positive---a condition which is already implicit in the formal derivation of balance models, we can assert the existence of weak solutions only under the slightly stronger assumption that the potential vorticity is bounded below by $\sqrt{5}-2$ times the equilibrium potential vorticity. The reason is that the nonlinearities in the potential vorticity inversion are felt more strongly when working in weaker function spaces. Another manifestation of this effect is that point-vortex solutions are not supported by the model even in the special case when the potential vorticity inversion gains three derivatives in spaces of classical functions.