Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Temporomandibular Joint Anterior Disc Displacement with Reduction: Clinical versus Magnetic Resonance Imaging Findings

Our study aimed to assess whether magnetic resonance imaging (MRI) results of different degrees of severity of disc displacement were correlated to the pain and joint sounds in patients with TMJ anterior disc displacement with reduction (ADDwR). Materials and Methods: A prospective study in which sixty patients of both genders with age ranges from 16 to 55 years old were selected from the TMJ outpatient clinic of the Oral and Maxillofacial Surgery Department. Clinical and magnetic resonance imaging examinations were performed for the TMJ to assess its condition by recording the joint sounds, visual analogue scale and the anteroposterior disc position. Results: There was a statistically significant relation between the degree of internal derangement and joint sounds. All patients with either mild or severe degrees of internal derangement suffered from pain but there was no statistically significant relation between the degree of internal derangement and the severity of pain. Conclusion: Evaluation of Temporomandibular Joint ADDwR showed a significant correlation between the clinical parameters and MRI findings.
Characteristics and Outcomes of Women With Mild and Moderate Forms of COVID-19 Giving Birth During the COVID-19 Pandemic

Introduction: We aim to investigate the clinical course and impact of mild and moderate forms of coronavirus disease 2019 (COVID-19) infection on pregnant women. Method: A retrospective cohort study was conducted on pregnant women who delivered in a hospital with confirmed COVID-19 infection. Demographic features, clinical characteristics, and perinatal outcomes were retrospectively evaluated. Results: In total, 157 pregnant women with COVID-19 were hospitalized. In a total of 46 deliveries, three (6.5%) had comorbidities and six (13%) were symptomatic. Myalgia and cough were the leading symptoms. In total, 11 (23.8%) patients received COVID-19 therapy, 41 (90%) had mild disease, and five (10.9%) were transferred to the intensive care unit (ICU). Maternal mortality was observed in two (4.3%) cases. Of the patients, 15 (32.6) had pregnancy complications (preterm delivery) (n = 13, 28.2%), and the cesarean section rate was 91.3%. Conclusion: The course of COVID-19 was mild in the majority of cases. However, accompanying comorbid conditions may accelerate the return to severe form and cause death.
On the use of the adjoint operator for source reconstruction in particle transport problems

ABSTRACT In this work, the adjoint to the transport operator is used to estimate the spatial distribution of an isotropic neutral particles source in a homogeneous one-dimensional medium, from readings of internal detectors. An analytical discrete ordinates formulation, the ADO method, is applied to derive a spatially explicit solution for the adjoint flux. Simulations are performed for reconstructing Gaussian and piecewise localized sources. Numerical results indicate that the source estimates may be considered satisfactory although scalar fluxes are reconstructed more precisely.
Multimodal Spatiotemporal Deep Learning Framework to Predict Response of Breast Cancer to Neoadjuvant Systemic Therapy

Current approaches to breast cancer therapy include neoadjuvant systemic therapy (NST). The efficacy of NST is measured by pathologic complete response (pCR). A patient who attains pCR has significantly enhanced disease-free survival progress. The accurate prediction of pCR in response to a given treatment regimen could increase the likelihood of achieving pCR and prevent toxicities caused by treatments that are not effective. Th early prediction of response to NST can increase the likelihood of survival and help with decisions regarding breast-conserving surgery. An automated NST prediction framework that is able to precisely predict which patient undergoing NST will achieve a pathological complete response (pCR) at an early stage of treatment is needed. Here, we propose an end-to-end efficient multimodal spatiotemporal deep learning framework (deep-NST) framework to predict the outcome of NST prior or at an early stage of treatment. The deep-NST model incorporates imaging data captured at different timestamps of NST regimens, a tumor’s molecular data, and a patient’s demographic data. The efficacy of the proposed work is validated on the publicly available ISPY-1 dataset, in terms of accuracy, area under the curve (AUC), and computational complexity. In addition, seven ablation experiments were carried out to evaluate the impact of each design module in the proposed work. The experimental results show that the proposed framework performs significantly better than other recent methods.
Adaptability evaluation of recently released hot pepper (capsicum anum) varieties at highland areas of west Hararghe, Ethiopia

In Ethiopia, hot pepper [ Capsicum annum (L)] is one of the leading vegetable crop: in terms of total production, the share of hot pepper is high as compared to other vegetables such as lettuce, tomatoes, head cabbage, onion. Likewise, West Hararg he highlands of study site is hot pepper potential area
AN ASSESSMENT OF THE LITERATURE ON THE PERFORMANCE OF CONSTRUCTION PROJECTS IN NIGERIA

Nigeria's construction industry is a critical sector that drives economic growth and development, but it faces numerous challenges that affect project performance. This study aimed to identify the factors and obstacles that impede construction project performance in Nigeria through a comprehensive literature review. The review involved a systematic approach to identify relevant studies from reputable academic databases, and the findings were synthesized and analyzed. The study found that poor project planning and scheduling, inadequate risk management, corruption, and ineffective stakeholder management were the primary factors contributing to poor project performance in Nigeria. The study highlights that these factors are interrelated and can exacerbate one another, leading to significant cost overruns, delays, and substandard work. Additionally, the study found that effective project management was a key success factor in improving project performance. To improve construction project performance in Nigeria, the study recommends that stakeholders in the industry should focus on improving project planning and scheduling, risk management, stakeholder management, and promoting ethical standards to curb corruption. By adopting these measures, the Nigerian construction industry can improve project performance, deliver high-quality infrastructure, and contribute to the country's economic growth and development.
Gradient acoustic information induces long-lasting referential uncertainty in short discourses

ABSTRACT Three experiments examined the influence of gradient acoustic information on referential interpretation during spoken language processing and how this influence persists over time. Acoustic continua varying between the pronouns “he” and “she” were created and validated in two offline experiments. A third experiment examined whether these acoustic differences influence online pronoun interpretation, and whether this influence persists across words in a discourse. Measures of eye gaze showed immediate sensitivity to graded acoustic information. Moreover, acoustically induced uncertainty persisted across a five-word delay: When listeners encountered a word that disambiguated the referent of the pronoun differently than it had originally been interpreted, the amount of time they took to recover from an initial misinterpretation was directly related to distance along the acoustic continuum between the pronoun and the endpoint corresponding to the correct referent. These findings show that fine-grained acoustic detail induces referential uncertainty that is maintained over extended periods of time.
CVD Synthesis of MoS2 Using a Direct MoO2 Precursor: A Study on the Effects of Growth Temperature on Precursor Diffusion and Morphology Evolutions

In this study, the influence of growth temperature variation on the synthesis of MoS2 using a direct MoO2 precursor was investigated. The research showed that the growth temperature had a strong impact on the resulting morphologies. Below 650 °C, no nucleation or growth of MoS2 occurred. The optimal growth temperature for producing continuous MoS2 films without intermediate-state formation was approximately 760 °C. However, when the growth temperatures exceeded 800 °C, a transition from pure MoS2 to predominantly intermediate states was observed. This was attributed to enhanced diffusion of the precursor at higher temperatures, which reduced the local S:Mo ratio. The diffusion equation was analyzed, showing how the diffusion coefficient, diffusion length, and concentration gradients varied with temperature, consistent with the experimental observations. This study also investigated the impact of increasing the MoO2 precursor amount, resulting in the formation of multilayer MoS2 domains at the outermost growth zones. These findings provide valuable insights into the growth criteria for the effective synthesis of clean and large-area MoS2, thereby facilitating its application in semiconductors and related industries.
Plasmonic Fano switches in Au–SiO2–Au multilayer nanoshells with broken core

We demonstrate that concentric Au–SiO2–Au multilayer nanoshells with a core broken by removing half of the Au sphere core are sensitively dependent on the polarization orientations of the incident wave and can support highly tunable Fano resonances, realizing multi-wavelength plasmonic Fano switches at the orthogonal incident polarization orientations. The plasmon hybridization theory and coupled oscillator model are used to interpret the interaction between the inner broken core and the outer shell. The Fano resonances in the Au–SiO2–Au multilayer nanoshells with a broken core can be adjusted easily by means of varying the geometrical parameters, showing good tunability. Au–SiO2–Au multilayer nanoshells with a broken core in a compact sub-150 nm size range supports plasmonic Fano switches at the visible and near-infrared spectral regions, providing various applications in switching devices and photonic integrated technologies.
Quasi-steady Lagrangian transport patterns in the Gulf of Mexico

We construct a climatology of Lagrangian coherent structures (LCSs) with a twelve-year-long data-assimilative simulation of the surface ocean circulation in the Gulf of Mexico. Computed as time-mean Cauchy--Green strain tensorlines of the climatological velocity, the climatological LCSs unveil recurrent Lagrangian circulation patterns. These patterns are remarkably similar to those observed during the evolution of the Deepwater Horizon and Ixtoc oil spills, as well as those observed with drifters during the Grand LAgrangian Deployment (GLAD) experiment. The LCS climatology also reveals regions of persistent isolation in agreement with past studies. Regions previously identified as high-risk for pollution impact are identified by our LCS climatology as regions of maximum attraction.
On polynomials with only rational roots

In this paper, we study upper bounds for the degrees of polynomials with only rational roots. First, we assume that the coefficients are bounded. In the second theorem, we suppose that the primes 2 and 3 do not divide any coefficient. The third theorem concerns the case that all coefficients are composed of primes from a fixed finite set.
From Studio to Rehab: A Debilitating Form of Anti-HMGCR Myopathy

Immune-mediated necrotizing myopathy is a subtype of immune-mediated myopathy associated with or without statin use. Statins, or HMG-CoA reductase inhibitors, are the most prescribed medications for dyslipidemia. The statin-associated myopathic syndromes range from asymptomatic elevations in creatine kinase to severe debilitating muscle weakness with associated rhabdomyolysis and elevated liver enzymes. Clinical improvement occurs upon discontinuation of statins, but some patients do not recover completely. Diagnostic tests include electromyography, muscle biopsy, myositis autoantibody panel, and antibodies against the HMGCR. Here, we present a case of anti-HMGCR-related myopathy associated with atorvastatin.
Asymptotic order of the quantization errors for a class of self-affine measures

Let $\{f_i\}_{i=1}^N$ be a set of equi-contractive similitudes on $\mathbb{R}^1$ satisfying the finite-type condition. We study the asymptotic quantization error for self-similar measures $\mu$ associated with $\{f_i\}_{i=1}^N$ and a positive probability vector. With a verifiable assumption, we prove that the upper and lower quantization coefficient for $\mu$ are both bounded away from zero and infinity. This can be regarded as an extension of Graf and Luschgy's result on self-similar measures with the open set condition. Our result is applicable to a significant class of self-similar measures with overlaps, including Erd\"{o}s measure, the $3$-fold convolution of the classical Cantor measure and the self-similar measures on some $\lambda$-Cantor sets.
Robust Distributed H∞ State Estimation for Stochastic Periodic Systems Over Constraint Sensor Networks

In this paper, the distributed <inline-formula> <tex-math notation="LaTeX">$H_{\infty}$ </tex-math></inline-formula> state estimators are designed for discrete-time stochastic periodic systems with randomly occurred uncertainties and topology-dependent quantizers over sensor networks. A norm-bounded uncertain model is introduced to describe the randomly occurred norm-bounded parameter uncertainties, where each component of the system occurs uncertainty independently. According to the changeable topologies of the sensor networks, a topology-dependent quantizer is proposed to enhance the channel utilization. Sufficient conditions are established to ensure the asymptotic stability and the <inline-formula> <tex-math notation="LaTeX">$H_{\infty}$ </tex-math></inline-formula> performance simultaneously for the augmented estimation error system. Then the gains of estimators are derived in every period. Finally, the average of one thousand simulations are depicted in the figures. Moreover, simulation comparisons are given to explain the quantizer design method.
Changes in pollinators' flower visits and activities potentially drive a diurnal turnover of plant‐pollinator interactions

Plant‐pollinator interactions are essential to sustaining biodiversity and ecosystem functioning in terrestrial ecosystems and are variable on several spatiotemporal scales. On a fine temporal scale, the responses of pollinators to temperature and floral resource dynamics are likely to be related to the temporal turnover of plant‐pollinator interactions. However, the temporal dynamics of plant‐pollinator interactions on a fine scale are largely unknown. The present study aims to reveal the temporal turnover of plant‐pollinator interactions over a single day and investigates these interactions in semi‐natural grasslands in a Japanese agricultural landscape from the early morning to the evening. The interaction turnover was evaluated as temporal β‐diversity and divided into two components: interaction rewiring and species turnover. Insect species richness and the number of interactions showed hump‐shaped responses to the time of the day, and these responses differed for the different insect groups. Furthermore, the peak time of insect visitation frequency differed among 11 plant species. Interaction turnover (total β‐diversity) in the same day was higher than that in different days. Although interaction rewiring in different days was higher than that in the same day, species turnover had an opposite pattern. Over a single day, the relative importance of interaction rewiring was higher in the morning, while species turnover was higher in the evening. Around noon, interaction rewiring and species turnover were equally important. Therefore, the daily rhythm of pollinator activities and changes in the main floral resources drive the temporal turnover of plant‐pollinator interactions over a single day.
Depression and Physical activity among cardiac patients undergone cardiac events: a correlational study

Abstract Objective: To assess prevalence of depression and its relationship with physical activity among individuals who have experienced a cardiac event. Methods: This descriptive study involved 196 cardiac patients receiving treatment at selected cardiac hospitals of Punjab (India). Subjects were chosen using purposive sampling technique. After getting informed written consents from the participants the data was collected using International Physical Activity Questionnaire (IPAQ) and Beck Depression Inventory-II (BDI-II). Results: The results showed that majority (62.2%) of the cardiac patients had moderate clinical depression and 11.2% of patients had severe depression. 86.7% of the patients had low level of physical activity (<600 MET min/week). There was also a significant negative correlation between the depression and physical activity depicting the higher the physical activity, lower was the depression score and vice-versa (p<0.05). Moreover, study results revealed that physical activity was significantly associated with age and educational status; whereas, depression was not associated with selected demographic variables. Conclusion: The current investigation has brought to light that a vast majority of individuals suffering from cardiac issues exhibited signs of moderate to severe depressive symptoms. Additionally, the findings indicate an inverse relationship between depression and physical activity. Consequently, it is crucial for nurses to concentrate on identifying early indicators of depression and physical inactivity so that individualized care plans can be developed to enhance the overall health of cardiac patients.
The average length of finite continued fractions with fixed denominator

In 1968 Heilbronn proved an asymptotic formula for the mean value of the lengths of continued fraction expansions of rational numbers with identical denominators. A new method is proposed for solving Heilbronn's problem and its generalizations. New estimates for the remainders, which improve the earlier results due to Porter (1975) and Ustinov (2005), are obtained. Bibliography: 28 titles.
Applying the Theory of Planned Behavior to Determine the Influencing Factors of Recycling Pig Wastewater for Crop Cultivation in Hanoi City

The study was conducted to analyze the factors affecting the use of pig wastewater for crop cultivation in Hanoi city. Through the application of the Theory of Planned Behavior to develop the theoretical framework and structural equation modeling, the study showed that the behavior intention influenced the recycling behavior. Attitude toward the behavior (AT), social norms (SN), and perceived behavioral control (PBC) were important influencing factors on the intention to perform this behavior with standardized regression coefficients of ß = 0.96 (P <0.001), ß = -0.826 (P <0.001), and ß = -0.34 (P <0.001), respectively. These research results serve as the initial reference for policies and studies related to the use of pig wastewater.
Identification of immune activation-related gene signature for predicting prognosis and immunotherapy efficacy in lung adenocarcinoma

Background Lung adenocarcinoma (LUAD) is a major subtype of non-small cell lung cancer (NSCLC) with a highly heterogeneous tumor microenvironment. Immune checkpoint inhibitors (ICIs) are more effective in tumors with a pre-activated immune status. However, the potential of the immune activation-associated gene (IAG) signature for prognosis prediction and immunotherapy response assessment in LUAD has not been established. Therefore, it is critical to explore such gene signatures. Methods RNA sequencing profiles and corresponding clinical parameters of LUAD were extracted from the TCGA and GEO databases. Unsupervised consistency clustering analysis based on immune activation-related genes was performed on the enrolled samples. Subsequently, prognostic models based on genes associated with prognosis were built using the last absolute shrinkage and selection operator (LASSO) method and univariate Cox regression. The expression levels of four immune activation related gene index (IARGI) related genes were validated in 12 pairs of LUAD tumor and normal tissue samples using qPCR. Using the ESTIMATE, TIMER, and ssGSEA algorithms, immune cell infiltration analysis was carried out for different groups, and the tumor immune dysfunction and rejection (TIDE) score was used to evaluate the effectiveness of immunotherapy. Results Based on the expression patterns of IAGs, the TCGA LUAD cohort was classified into two clusters, with those in the IAG-high pattern demonstrating significantly better survival outcomes and immune cell infiltration compared to those in the IAG-low pattern. Then, we developed an IARGI model that effectively stratified patients into different risk groups, revealing differences in prognosis, mutation profiles, and immune cell infiltration within the tumor microenvironment between the high and low-risk groups. Notably, significant disparities in TIDE score between the two groups suggest that the low-risk group may exhibit better responses to ICIs therapy. The IARGI risk model was validated across multiple datasets and demonstrated exceptional performance in predicting overall survival in LUAD, and an IARGI-integrated nomogram was established as a quantitative tool for clinical practice. Conclusion The IARGI can serve as valuable biomarkers for evaluating the tumor microenvironment and predicting the prognosis of LUAD patients. Furthermore, these genes probably provide valuable guidance for establishing effective immunotherapy regimens for LUAD patients.
WDOP‐based Summation Inequality and its Application to Exponential Stability of Linear Delay Difference Systems

This paper is concerned with the exponential stability analysis of linear delay difference systems. Firstly, a set of weighted discrete orthogonal polynomials (WDOPs) is established by using the Gram‐Schmidt orthogonalization process, and then two WDOPs‐based summation inequalities, including some existing summation inequalities as special cases, are developed. Secondly, these WDOPs‐based summation inequalities are applied to investigate the exponential stability criteria and explicit exponential estimates of solutions of linear delay difference systems. Finally, two numerical examples indicate that the proposed WDOPs‐based approach can derive the exponential stability condition with larger decay rate than the existing ones.