Miracle-dz/UniFAR-FTUs huggingface dataset:
The two-fluid model of turbulence applied to combustion phenomena

bx = body force component in x direction Cf = interfluid friction constant Dj = diffusion flux of fluid / fy = volumetric interfluid friction coefficient fiw = volumetric fluid/wall friction coefficient gi = generalized flux of phase / £ = reciprocal of interface area per unit volume mi mass transfer rate into fluid / per unit volume p pressure TI volume fraction of fluid / t = time u = velocity in x direction YI = velocity vector of fluid / pt = density of fluid / r = reactedness = general conserved fluid property $ = source of entity measured by
Systemic inflammation influences the prognosis of patients with radically resected non‐small cell lung cancer and correlates with the immunosuppressive microenvironment

The impact of host condition on prognosis of non‐small cell lung cancer (NSCLC) and the interaction between host and NSCLC remain unclear. This study investigated the association between systemic inflammation and prognosis and characteristics of radically resected NSCLC. This study consisted of a cohort study and an exploratory study of institutional prospective databases. All participants underwent video‐assisted thoracoscopic lobectomy as the primary treatment. Systemic inflammation was assessed before surgery using the advanced lung cancer inflammation index and the systemic inflammation response index. Next‐generation sequencing and multiplex immunofluorescence analysis were conducted to delineate tumor characteristics. In the cohort study including 1507 participants, high inflammation was associated with poor disease‐free survival and overall survival before and after propensity score matching and in multivariable analysis. Systemic inflammation showed good prognostic value for stage IA‐IB NSCLC, and the prognostic value diminished with upstaging of NSCLC. In the exploratory study including 217 adenocarcinomas, tumor microenvironment of high inflammation group showed a greater abundance of PDL1+ tumor cells and immune cells, which were independent from driver gene mutations and clinicopathological characteristics. Spatial analysis demonstrated a higher frequency of immune‐suppressed cellular neighborhood, increased avoidance between immune cells and PDL1‐ tumor cells and compromised immune killing and presentation in tumor microenvironment of high inflammation group. Systemic inflammation showed limited association with genomic mutations. Systemic inflammation may influence the prognosis of NSCLC at both the systematic level and the local immune response. The correlation between high inflammation and immunosuppressive microenvironment indicates a novel thread for anticancer treatment.
Semantic Image Segmentation by Dynamic Discriminative Prototypes

Semantic segmentation achieves significant success through large-scale training data. Meanwhile, few-shot semantic segmentation was proposed to segment image regions of novel classes through few labeled testing data. However, it ignores classes previously learned from training data. This paper proposes a new segmentation framework called segmentation by dynamic prototype (SDP), which can simultaneously segment the image regions of base classes learned from many training data and novel classes learned from a few testing data. SDP performs segmentation by searching for the nearest prototype of each pixel's features. Different prototypes are representative features for different classes. In testing, SDP dynamically constructs novel prototypes according to support images while maintaining base prototypes learned from training images. The main challenge of SDP is how to achieve intra-image compactness, intra-class compactness, and inter-class separability simultaneously in the feature space. To tackle these challenges, we first introduce a discriminative pixelwise feature and prototype training method to improve the above three types of feature discriminability. We then introduce a mask refinement process in testing, which refines support images' masks to extract more separable novel prototypes. In addition, we introduce a prototype adaptation process in testing, which allows all prototypes to adapt to query images to reduce the prototypes' intra-class variances. Our approach achieves state-of-the-art results for novel class segmentation against existing few-shot semantic segmentation methods on PASCAL-5i and COCO-20i benchmarks in combination with superior runtime efficiency. In addition, our method can maintain strong results in the segmentation of base classes.
Estimating the neutron background toward the measurement of neutrino mixing angle theta13 with the Double Chooz detector

Double Chooz is a reactor neutrino experiment which has shown evidence of electron anti-neutrino disappearance at 1 km distance. It has been able to exclude the no-oscillation hypothesis at 99.8% CL (2.9σ) with only one detector. From a rate plus spectral shape analysis, the value of sin2θ13 was found to be 0.109± 0.030(stat)± 0.025(syst). Correlated events mimicking an anti-neutrino event are one of the most important backgrounds for a reactor neutrino experiment like Double Chooz which measured the neutrino mixing angle θ13. Cosmic muons passing through the rock surrounding the detector produce fast neutrons which give rise to correlated events through proton recoil followed by a neutron capture. Muons stopping around the chimney region subsequently decay into Michel electrons also contributing to the correlated background. Measurement of the shape and rate of this background is very important for the precise measurement of θ13. Experimental techniques to estimate of the shape and rate of this background in the Double Chooz far detector are presented in this thesis. ESTIMATING THE NEUTRON BACKGROUND TOWARD THE MEASUREMENT OF NEUTRINO MIXING ANGLE θ13 WITH THE DOUBLE CHOOZ DETECTOR. by DEEPAK SHRESTHA B.Sc., Tribhuvan University, Kathmandu, 1997 M.Sc., Tribhuvan University, Kathmandu, 2000 A DISSERTATION submitted in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY Department of Physics College of Arts and Sciences KANSAS STATE UNIVERSITY Manhattan, Kansas 2013
A comparative study of oocyte between native cattle and buffalo species in Bangladesh: a qualitative and quantitative approach

: In vitro embryo production (IVP) can help alleviating reproductive difficulties in cattle and buffalo. This study compared qualitative and quantitative features of native cattle and buffalo ovaries and oocytes to understand them comprehensively. In addition, it was conducted to pick the ideal ovaries for oocyte collection and to assess either maturation affects oocyte diameter or not. The ovaries were collected from the local slaughterhouses of Dhaka city, Bangladesh. Next, the quantitative parameters of ovaries were measured, the follicular fluid was aspired, the oocytes were classified, and the diameters of oocytes were determined in both pre and postmaturation. Here, the results revealed that the ovaries of cattle and buffalo differed significantly (p < 0.05) in weight, length, width, and depth regardless of the ovary’s position and the corpus luteum (CL) condition. The numbers of normal and abnormal oocytes per ovary were 1.19 and 0.96 in cattle and 1.50 and 1.13 in buffalo, respectively. Moreover, a significant difference (p < 0.05) was observed between the oocytes’ diameter in cattle and buffalo (cattle 85.64 ± 8.16 µm vs. buffalo 99.92 ± 8.65 µm) and before and after the maturation of oocytes within the same species. It may be concluded that the buffalo ovary was greater in size, and the oocyte was larger than the cattle ovary and oocyte. Any ovaries—irrespective of the ovary’s position and the CL status—can be a good source of potential oocytes. Besides, the maturation process may ultimately affect oocytes’ diameter increase.
Gestational glucose intolerance (GGI) and gestational diabetes mellitus (GDM) among antenatal women attending urban community health centers of Lucknow: A cross-sectional study

Background: Gestational diabetes mellitus (GDM) is an emerging public health concern in India, which has detrimental effects on both the mother and the baby. The data on prevalence of GDM was unavailable at secondary urban health facilities, from where a majority of pregnant women seek antenatal services, and the following study identifies this burden. Methods: A cross-sectional study was conducted from May 2019 to June 2020 among pregnant women attending the antenatal outpatient department (OPD) at secondary level health facilities in urban Lucknow. A semi-structured interview schedule was administered to the study subjects for collecting the relevant information and 75 g of oral glucose tolerance test was performed irrespective of the meal. The cut-off points taken for the diagnosis of GDM and gestational glucose intolerance (GGI) was as per the guidelines of the Ministry of Health and Family Welfare for diagnosis of GGI/GDM. Results: The overall prevalence of GDM and GGI in the study was 11.6% and 16.8%, respectively. Three-fourth of the women (22/29) were diagnosed with GDM in the second trimester of pregnancy. The prevalence of GDM (16.7%) was significantly higher in pregnant women aged more than 25 years and in those who were overweight. Mean birth weight (3.2 ± 8.1 kg) of the babies was significantly higher in the women with GDM. Among the fetal complications was respiratory distress observed among 28 pregnant women and 31% of them had GDM and this was statistically significant. Conclusion: The prevalence of GGI and GDM was found 16.8% and 11.6%, respectively. Gestational age, pre-pregnancy weight, pre-pregnancy BMI, weight gain during the pregnancy, family history of diabetes. PCOS, macrosomia and GDM in prior pregnancies was found to significant with GDM in the study.
Integrated Disease Surveillance Response Practice and Associated Factors Among Health Professionals Working in Public Hospitals in West Hararghe Zone, Eastern Oromia, Ethiopia: Multi-Center Cross-Sectional Study

Background Health workforces across all levels of the healthcare system are the main modulators in the effective implementation of disease surveillance system. However, their level of integrated disease surveillance response (IDSR) practice and determinant factors was hardly investigated in Ethiopia. This study determined the level of IDSR practice and associated factors among health professionals in the west Hararghe zone, eastern Oromia, Ethiopia. Methodology A multicenter facility-based cross-sectional study design was conducted between December 20, 2021, and January 10, 2022, among 297 systematically selected health professionals. Trained data collectors collected data using structured pretested self-administered questionnaires. The level of IDSR practice was assessed using six questions where each acceptable practice was given “1” and unacceptable “0”, with a total score of 0 to 6. Hence, a score above or equal to the median was categorized as good practice. Epi-data and STATA were used for data entry and analysis. A binary logistic regression analysis model with an adjusted odds ratio was used to determine the effects of independent variables on the outcome variable. Results The magnitude of good practice of IDSR was 50.17% (95% CI: 45.17, 55.17). Being married (AOR = 1.76; 95% CI: 1.01, 3.06), perceived organizational support (AOR = 2.14, 95% CI: 1.16, 3.94), good knowledge (AOR = 2.77, 95% CI: 1.61, 4.78), positive attitude (AOR = 3.30, 95% CI: 1.82, 5.98) and working in an emergency (AOR = 0.37, 95% CI: 0.14, 0.98) were significantly associated with the level of practice. Conclusion Only half of the health professionals had a good level of practice in integrated disease surveillance response. Marital status, working department, perceived organizational support, knowledge level, and attitude toward integrated disease surveillance were significantly associated with health professionals’ practice of disease surveillance. Thus, organizational and provider-targeted interventions should be considered to improve the knowledge and attitude of health professionals that improve integrated disease surveillance response practice.
Refined Analysis of Older eHealth Users From an Agency Perspective: Quantitative Telephone Interview Study

Background Most studies on the eHealth divide among older people have compared users to nonusers and found that age, gender, and education were associated with eHealth misuse. They assumed that these characteristics were structural barriers to eHealth adoption. Furthermore, eHealth practices have been examined in a narrow and incomplete way, and the studies disagree about the association between health conditions and eHealth use. Using a more dynamic theoretical lens, we investigated the potential motivations driving older adults’ agential adoption of eHealth practices despite their advanced age. Objective This study aimed to obtain a complete and detailed description of eHealth uses among older adults; examine whether demographic characteristics such as age, gender, and education (previously related to eHealth misuse) are still associated with the various eHealth clusters; and determine whether contextual factors such as changes in the health condition of older eHealth users or their loved ones are associated with older adult eHealth use. Methods We conducted a 30-minute telephone interview with a representative sample of 442 Israeli adults (aged ≥50 years) with a sampling error of 2.04%. The interviews were conducted in Hebrew, Arabic, and Russian. Using factor analysis with 21 eHealth use questions, we identified 4 eHealth clusters: instrumental and administrative information seeking, information sharing, seeking information from peers, and web-based self-tracking. In addition to age, gender, education, internet experience, frequency of internet use, perceived eHealth literacy, and self-rated health, we asked respondents to indicate how much they had used offline health services because of a health crisis in the past year. Results We found differences in the number of older eHealth users in the various clusters. They used instrumental and administrative information (420/442, 95%) and obtained information from peers (348/442, 78.7%) the most; followed by web-based self-tracking related to health issues (305/442, 69%), and only a few (52/442, 11.3%) uploaded and shared health information on the web. When controlling for personal attributes, age, gender, and education were no longer predictors of eHealth use, nor was a chronic ailment. Instead, internet experience, frequency of internet use, and perceived eHealth literacy were associated with 3 eHealth clusters. Looking for health information for family and friends predicted all 4 eHealth clusters. Conclusions Many older adults can overcome structural barriers such as age, gender, and education. The change in their or their loved ones’ circumstances encouraged them to make deliberate efforts to embrace the new practices expected from today’s patients. Seeking health information for family and friends and dealing with unexpected health crises motivates them to use eHealth. We suggest that health professionals ignore their tendency to label older people as nonusers and encourage them to benefit from using eHealth and overcome stereotypical ways of perceiving these patients.
Inverse Correlation of Superoxide Dismutase and Catalase with Type 2 Diabetes among Rural Thais

Oxidative stress contributes to defective antioxidant defenses, which may lead to type 2 diabetes (T2D). This study aimed to elucidate the T2D risks and antioxidant defenses by investigating the superoxide dismutase (SOD), catalase (CAT), vitamin A, and vitamin E status. We observed 102 participants aged 35–66 years from Sung Neon, Nakhon Ratchasima, Thailand. The blood samples were collected to measure the SOD, CAT, vitamin A, and vitamin E concentrations. The SOD and CAT activities were inversely associated with T2D risk. When compared with participants in the highest quartile of SOD and CAT, those in the lowest quartile for T2D risk obtained multivariable-adjusted odds ratios of 4.77 (SOD: 95% confident interval CI, 1.01–22.40; p = 0.047) and 4.22 (CAT: 95% CI, 1.07–16.60; p = 0.039). The possible influencing factors (e.g., physical activity, total cholesterol, and triglyceride) might mediate the association of SOD and CAT with T2D risk. Meanwhile, the relationship between vitamin A and vitamin E concentrations and T2D risk was insignificant. In conclusion, lower concentrations of antioxidant enzyme activity (SOD and CAT) may be an additional risk factor for T2D.
Fractional Calculus Theoretical Evolution for Radiation Quantities

Problem statement: Radiation dosimetry features depend on semi-empirical formulas that lack a strong mathematical framework. This is due to the fact that the microscopic radiation interaction with matter includes energy losses that have never been described properly in quantum mechanics, which deals with conserved energy systems. Approach: Using the recent theory of the quantization of nonconservative systems using fractional calculus. Results: Most important charged particle interaction features and consequences like energy loss, stopping power, range, absorbed dose and radiotoxicity are frame-worked mathematically. Conclusion: The results manifest a good agreement with experimental and semi-empirical results.
The Origin of Gravitational Constant

The Scale-Symmetric Theory (SST) shows that the gravitational constant depends on properties of the two-component spacetime i.e. on properties of the superluminal non-gravitating Higgs field and the luminal gravitating Einstein spacetime. More precisely, the gravitational constant depends on internal structure of neutrinos, inertial-mass density of the Higgs field and on dynamic viscosity and the infinitesimal spin of the tachyons the Higgs field consists of. According to SST, gravitational masses produce gradients in the Higgs field so value of inertial-mass density of the Higgs field inside the neutrino-antineutrino pairs the Einstein spacetime consists of, depends on steepness of gravitational gradients. It leads to conclusion that in experiments with steeper gravitational gradients, the gravitational constant should be lower. But such changes in gravitational constant are too low to be measured. SST shows that in expanding spacetime, value of the gravitational constant must decrease. The invariance of gravitational constant suggests that our Cosmos has boundary nontransparent for the superluminal non-gravitating Higgs field - it is consistent with SST.
The Impact of Cancer Relapse and Poor Patient Outcomes on Health Care Providers Practicing in the Oncology Field

Introduction Devastating cancer-related events are not uncommon, and these events have weakened communication performance and induced stress among health care providers (HCPs), particularly physicians. This study aimed to investigate the perspective of HCPs emotionally affected by poor clinical outcomes due to the failure of cancer therapy. Methods A cross-sectional, online survey was conducted over 3 months among HCPs practicing in the field of oncology in Saudi Arabia, comprising physicians, pharmacists, and nurses. Data were analyzed using Statistical Package for Social Sciences version 26.0. A P-value <. 05 was considered statistically significant. Results This study demonstrated a positive correlation between HCPs’ length of experience and emotional impact of treatment failure, albeit this was not statistically significant (P = .071). Analysis of their perspective toward failure of cancer therapies revealed a significant impact of occupation and sex (P = .014 and P = .047, respectively). Moreover, occupation played a significant role in shaping the viewpoint of HCPs toward the need for conducing further research to test the appropriateness of treatment protocols on local patients (P = .022). Despite the emotional responses of HCPs to suboptimal clinical outcomes, factors such as work burnout, lack of concentration and patience, work or personal problems, and under appreciation were frequently identified as triggers of such outcomes. Conclusion Our results revealed that poor clinical outcomes observed among cancer patients are emotional triggers for HCPs practicing in the oncology field. The emotional response is often perceived negatively, and can potentially lead to a decline in the quality of care provided to these patients.
Integrated Omic Analysis of Human Plasma Metabolites and Microbiota in a Hypertension Cohort

Hypertension is closely related to metabolic dysregulation, which is associated with microbial dysbiosis and altered host–microbiota interactions. However, plasma metabolite profiles and their relationships to oral/gut microbiota in hypertension have not been evaluated in depth. Plasma, saliva, subgingival plaques, and feces were collected from 52 hypertensive participants and 24 healthy controls in a cross-sectional cohort. Untargeted metabolomic profiling of plasma was performed using high-performance liquid chromatography–mass spectrometry. Microbial profiling of oral and gut samples was determined via 16S rRNA and metagenomic sequencing. Correlations between metabolites and clinic parameters/microbiota were identified using Spearman’s correlation analysis. Metabolomic evaluation showed distinct clusters of metabolites in plasma between hypertensive participants and control participants. Hypertensive participants had six significantly increased and thirty-seven significantly decreased plasma metabolites compared to controls. The plasma metabolic similarity significantly correlated with the community similarity of microbiota. Both oral and gut microbial community composition had significant correlations with metabolites such as Sphingosine 1-phosphate, a molecule involved in the regulation of blood pressure. Plasma metabolites had a larger number of significant correlations with bacterial genera than fungal genera. The shared oral/gut bacterial genera had more correlations with metabolites than unique genera but shared fungal genera and metabolites did not show clear clusters. The hypertension group had fewer correlations between plasma metabolites and bacteria/fungi than controls at species level. The integrative analysis of plasma metabolome and oral/gut microbiome identified unreported alterations of plasma metabolites in hypertension and revealed correlations between altered metabolites and oral/gut microbiota. These observations suggested metabolites and microbiota may become valuable targets for therapeutic and preventive interventions of hypertension.
Seizure in geriatric population – An unheeded integer

Background: Epilepsy is one of the most prevalent neurological conditions among the elderly. Age-related epileptogenic disorders as well as the ageing itself pose a risk for seizures in the elderly. The lack of witnesses, non-specific symptoms, and transient symptoms make the diagnosis challenging in the elderly. Aim: This study aimed to assess the various presentation and aetiology for the seizure disorder in the elderly population. Materials and Methods: A total of 125 elderly patients ≥60 years with new onset seizure were included in the study. Demographic data, co-morbidities, and clinical presentation of seizure were elicited. Hemogram, liver and renal function tests, random blood sugar, electrolytes, and serum calcium were analysed. Computed tomography (CT), magnetic resonance imaging (MRI) brain, and electroencephalogram (EEG) were performed. Results: Seizure was seen predominantly in the males with age group of 60–70 years. Generalized tonic-clonic seizure was the commonest presentation, followed by focal seizures. The leading causes of seizures were cerebral vascular accidents, metabolic conditions, and alcohol. CT brain was abnormal in 49%, and 73% of the patients showed abnormality in MRI brain. EEG was abnormal in 17.3% of patients. Temporal lobe infarction was the commonest, trailed by parieto-temporal and frontal lobe involvement. Conclusion: Seizures in the elderly have varied clinical signs and aetiology. An awareness about these atypical presentation and aetiology is essential for the early diagnosis and management to prevent morbidity.