Miracle-dz/UniFAR-FTUs huggingface dataset:
Holistic Integration of Omics Tools for Precision Nutrition in Health and Disease

The combination of multiple omics approaches has emerged as an innovative holistic scope to provide a more comprehensive view of the molecular and physiological events underlying human diseases (including obesity, dyslipidemias, fatty liver, insulin resistance, and inflammation), as well as for elucidating unique and specific metabolic phenotypes. These omics technologies include genomics (polymorphisms and other structural genetic variants), epigenomics (DNA methylation, histone modifications, long non-coding RNA, telomere length), metagenomics (gut microbiota composition, enterotypes), transcriptomics (RNA expression patterns), proteomics (protein quantities), and metabolomics (metabolite profiles), as well as interactions with dietary/nutritional factors. Although more evidence is still necessary, it is expected that the incorporation of integrative omics could be useful not only for risk prediction and early diagnosis but also for guiding tailored dietary treatments and prognosis schemes. Some challenges include ethical and regulatory issues, the lack of robust and reproducible results due to methodological aspects, the high cost of omics methodologies, and high-dimensional data analyses and interpretation. In this review, we provide examples of system biology studies using multi-omics methodologies to unravel novel insights into the mechanisms and pathways connecting the genotype to clinically relevant traits and therapy outcomes for precision nutrition applications in health and disease.
KEY CONCEPTS IN CRITICAL AGRARIAN STUDIES Social di ﬀ erentiation of the peasantry (Marxist)

Marxist understandings of the peasantry focus largely on class relations and seek to locate rural households within wider sets of class structures and dynamics. This article reviews debates and controversies amongst Marxists on the classic agrarian question, class di ﬀ erentiation within processes of transition from pre-capitalist to fully capitalist societies, land reform and class relations, whether or not to characterize peasants as petty commodity producers, the relationship between class and other forms of social di ﬀ erentiation such as gender, race, ethnicity and caste, and the role of class di ﬀ erentiation in peasant politics. … who got land, what land, how much land and what they were able to do with it, was con-tested along – and often followed – the contours of existing, typically intricate structures of di ﬀ erentiation in agrarian populations beyond that represented by landed property: most ubiquitously inequalities of class and gender among the peasantry, in some cases those of ethnicity and caste as well.
The SW Sextantis-type star 2MASS J01074282+4845188: an unusual bright accretion disk with non-steady emission and a hot white dwarf

Context. Cataclysmic variables (CVs) present a short evolutional st age of binary systems. The nova-like stars are rare objects, especially those with eclipses (only several tens). But precise ly these allow to determine the global parameters of their co nfigurations and to learn more about the late stage of stellar evolution. Aims. The light curve solution allows one to determine the global parameters of the newly discovered nova-like eclipsing star 2MASS J01074282+4845188 and to estimate the contribution of the different light sources. Methods. We present new photometric and spectral observations of 2MASS J01074282+4845188. To obtain a light curve solution we used model of a nova-like star whose emission sources are a white dwarf surrounded by an accretion disk, a secondary star filling its Roche lobe, a hot spot and a hot line. The obtained global parameters are compared with those of the eclipsing nova-like UX UMa. Results. 2MASS J01074282+4845188 shows the deepest permanent eclipse among the known nova-like stars. It is reproduced by covering the very bright accretion disk by the secondary component. The luminosity of the disk is much bigger than that of the rest light sources. The determined high temperature of the disk i s typical for that observed during the outbursts of CVs. The primary of 2MASS J01074282+4845188 is one of the hottest white dwarfs in CVs. The temperature of 5090 K of its secondary is also quite high and more appropriate for a long-period SW Sex star. It might be explained by the intense heating from the hot white dwarf and the hot accretion disk of the target. Conclusions. The high mass accretion rate ˙ M = 8× 10 −9 M⊙ yr −1 , the broad and single-peaked Hα emission profile, and the presence of an S-wave are sure signs for the SW Sex classification of 2MA SS J01074282+4845188. The obtained flat temperature distribution along the disk radius as well as the deviation of the energy di stribution from the black-body law are evidence of the non-steady emission of the disk. It can be attributed to the low viscosity of t he disk matter due to its unusual high temperature. The close values of the disk temperature and the parameterαg of 2MASS J01074282+4845188 and those of the cataclysmic stars at eruptions might be considered as an additional argument for the permanent active state of nova-like stars.
Non-deterministic Quantization for mmWave Beam Prediction

In this paper, we propose a low complexity yet powerful deep neural network (DNN) that learns from binary quantified features for the millimeter wave (mmWave) beam prediction. The proposed model is capable of achieving a high reliable beam prediction and low hardware overhead, depending on the configurable DNN model in mmWave massive multipleinput multiple-output (massive MIMO) system. In order to overcome the noise and the mmWave channel fading attenuation, we firstly incorporate the ideas from non-deterministic quantization to extract a sparse feature representation. Using the nondeterministic method also allows the DNN model to compress the size of parameters, which enables the proposed model easy to implement. Secondly, matching the non-deterministic scheme with multiple quantizations, we build the static layers to extract an appropriate representation from binary sequence and infer by a wise scoring scheme based on voting results from multi-quantization. According to the experiment results, the accuracy can be improved from 77% to 94% compared with the conventional proposal under the 20 dB signal-to-noise ratio (SNR). And the proposed model can reduce the scale of parameters by 70%. We further accelerate the training time up to 34% by applying automatic mixed precision (AMP).
Teaching Mathematics in a Primary Multilingual Classroom

This article explores the complex relationship between language and mathematics education in multilingual settings by presenting an analysis of one lesson from a multilingual primary mathematics classroom in South Africa taught by an appropriately qualified and experienced teacher. English emerged as a dominant language in this classroom, and this dominance was accompanied by procedural mathematics discourse. The learners' home language functioned mainly as the language of solidarity, whereas English functioned as the language of mathematics, authority, and assessment. The article argues for the need to recognize and acknowledge the political role of language when conducting research into the relationship between language and mathematics education in multilingual classrooms. The article draws implications for making critical, influential decisions about curriculum, assessment, and teacher education.
A Graphical Analysis of Simultaneously Choosing the Bandwidth and Mixing Parameter for Semiparametric Regression Techniques

A GRAPHICAL ANALYSIS OF SIMULTANEOUSLY CHOOSING THE BANDWIDTH AND THE MIXING PARAMETER FOR SEMIPARAMETRIC TECHNIQUES By Derick L. Rivers, Master of Science A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University. Virginia Commonwealth University, 2009. Director: James E. Mays, Associate Professor, Department of Statistical Sciences and Operations Research There has been extensive research done in the area of Semiparametric Regression. These techniques deliver substantial improvements over previously developed methods, such as Ordinary Least Squares and Kernel Regression. Two of these hybrid techniques: Model Robust Regression 1 (MRR1) and Model Robust Regression 2 (MRR2) require the choice of an appropriate bandwidth for smoothing and a mixing parameter that allows a portion of a nonparametric fit to be used in fitting a model that may be misspecified by other regression methods. The current method of choosing the bandwidth and mixing parameter does not guarantee the optimal choices in either case. The immediate objective of the current work is to address this process of choosing the optimal bandwidth and mixing parameter and to examine the behavior of these estimates using 3D plots. The 3D plots allow us to examine how the semiparametric techniques: MRR1 and MRR2, behave for the optimal (AVEMSE) selection process when compared to data-driven selectors, such as PRESS* and PRESS**.
The Prognostic Value of Postoperative Radiotherapy for Thymoma and Thymic Carcinoma: A Propensity-Matched Study Based on SEER Database

Simple Summary Although surgery has been recognized as the cornerstone of treatment for patients with resectable thymic epithelial tumors, the role of postoperative radiotherapy remains controversial. We performed this SEER-based propensity-matched analysis to investigate the prognostic value of postoperative radiotherapy in thymoma and thymic carcinoma. The results showed that postoperative radiotherapy improved both overall survival and cancer-specific survival in patients with Masaoka-Koga stage IIB–IV thymoma. This study is the first to demonstrate the prognostic value of postoperative radiotherapy in stage IIB thymic carcinoma. This large, up-to-date population-based longitudinal study may provide guidance on the use of postoperative radiotherapy for a thymoma or thymic carcinoma. Abstract (1) Objectives: The effect of postoperative radiotherapy (PORT) for thymoma and thymic carcinoma remains controversial. This study aimed to investigate the prognostic value of PORT for thymoma and thymic carcinoma in a population-based registry. (2) Methods: This retrospective study used the Surveillance, Epidemiology, and End Results (SEER) database to identify patients diagnosed with thymoma and thymic carcinoma between 2010 and 2019. Propensity score matching was performed to adjust statistical influences between the PORT and non-PORT groups. (3) Results: A total of 2558 patients with thymoma (n = 2138) or thymic carcinoma (n = 420) were included. In the multivariate analysis, PORT was an independent prognostic factor for OS (overall survival; p < 0.001) and CSS (cancer-specific survival; p = 0.001) in thymoma and an independent prognostic factor for OS in thymic carcinoma (p = 0.018). Subgroup analyses revealed that PORT was beneficial to OS and CSS in patients with Masaoka-Koga stage IIB-IV thymoma (OS: IIB, p < 0.001; III-IV, p = 0.005; CSS: IIB, p = 0.015; III-IV, p = 0.002) and stage IIB thymic carcinoma (OS: p = 0.012; CSS: p = 0.029). (4) Conclusion: This propensity-matched analysis identified the prognostic value of PORT in thymoma and thymic carcinoma based on the SEER database. For patients with stage IIB-IV thymoma and stage IIB thymic carcinoma, PORT was associated with improved OS and CSS. A more positive attitude towards the use of PORT for nonlocalized thymoma and thymic carcinoma may be appropriate.
Elucidating the Real-World Burden of Chronic Rhinosinusitis With Nasal Polyps in Patients in the USA

Objective To characterize healthcare burden, treatment patterns, and clinical characteristics associated with chronic rhinosinusitis with nasal polyps (CRSwNP). Study Design Retrospective cohort. Setting Real-world study using US health insurance claims database. Methods Adults with ≥1 CRSwNP diagnosis (index date: first claim for nasal polyps [NPs] between January 1, 2008, and March 31, 2019) and continuous health insurance coverage for ≥180 days preindex (baseline) and postindex were included. Follow-up spanned from index to the earliest of disenrollment, death, or data end. Assessments included patient demographics, comorbidities, and blood eosinophil count at baseline, healthcare resource utilization (HCRU), and costs during follow-up in the overall population and stratified by number of surgeries. Results Of the 119,357 patients who met the inclusion criteria, 33,748 (28%) had ≥1 surgery during follow-up, among whom 3262 (9.7%) had ≥2 surgeries. At baseline, patients with ≥1 vs no NP surgeries had a greater comorbidity burden; a higher proportion of patients had comorbid asthma (37.8% vs 21.8%) and blood eosinophil count ≥300 cells/µL (42.6% vs 38.1%). During follow-up, patients with NP surgeries had higher all-cause and CRSwNP-related HCRU and costs than patients without NP surgery. All-cause healthcare costs per person per year increased with the number of surgeries during follow-up (no surgery, $10,628; ≥1 surgery, $20,747; ≥2 surgeries, $26,969). Conclusion Patients with CRSwNP and surgery had a greater disease burden than those without surgery, with higher HCRU and costs, and were more likely to have comorbid conditions (most commonly asthma) and elevated blood eosinophil count, indicating a subset of patients with recalcitrant CRSwNP.
Candidate Modifier Genes for the Penetrance of Leber’s Hereditary Optic Neuropathy

Leber’s hereditary optic neuropathy (LHON) is a maternally transmitted disease caused by mitochondria DNA (mtDNA) mutation. It is characterized by acute and subacute visual loss predominantly affecting young men. The mtDNA mutation is transmitted to all maternal lineages. However, only approximately 50% of men and 10% of women harboring a pathogenic mtDNA mutation develop optic neuropathy, reflecting both the incomplete penetrance and its unexplained male prevalence, where over 80% of patients are male. Nuclear modifier genes have been presumed to affect the penetrance of LHON. With conventional genetic methods, prior studies have failed to solve the underlying pathogenesis. Whole exome sequencing (WES) is a new molecular technique for sequencing the protein-coding region of all genes in a whole genome. We performed WES from five families with 17 members. These samples were divided into the proband group (probands with acute onset of LHON, n = 7) and control group (carriers including mother and relative carriers with mtDNSA 11778 mutation, without clinical manifestation of LHON, n = 10). Through whole exome analysis, we found that many mitochondria related (MT-related) nuclear genes have high percentage of variants in either the proband group or control group. The MT genes with a difference over 0.3 of mutation percentage between the proband and control groups include AK4, NSUN4, RDH13, COQ3, and FAHD1. In addition, the pathway analysis revealed that these genes were associated with cofactor metabolism pathways. Family-based analysis showed that several candidate MT genes including METAP1D (c.41G > T), ACACB (c.1029del), ME3 (c.972G > C), NIPSNAP3B (c.280G > C, c.476C > G), and NSUN4 (c.4A > G) were involved in the penetrance of LHON. A GWAS (genome wide association study) was performed, which found that ADGRG5 (Chr16:575620A:G), POLE4 (Chr2:7495872T:G), ERMAP (Chr1:4283044A:G), PIGR (Chr1:2069357C:T;2069358G:A), CDC42BPB (Chr14:102949A:G), PROK1 (Chr1:1104562A:G), BCAN (Chr 1:1566582C:T), and NES (Chr1:1566698A:G,1566705T:C, 1566707T:C) may be involved. The incomplete penetrance and male prevalence are still the major unexplained issues in LHON. Through whole exome analysis, we found several MT genes with a high percentage of variants were involved in a family-based analysis. Pathway analysis suggested a difference in the mutation burden of MT genes underlining the biosynthesis and metabolism pathways. In addition, the GWAS analysis also revealed several candidate nuclear modifier genes. The new technology of WES contributes to provide a highly efficient candidate gene screening function in molecular genetics.
Possibility of Producing Tulip Bulblet Under Drought Stress Using Potassium and Phosphorus Solubilizing Bacteria

ABSTRACT Tulip bulb production is limited under drought stress conditions. Due to nutrient limitations, the growth rate is significantly reduced. Attention needs to be given to the plant-related microbiome because it can help the plant cope with stressful situations. A three-factor experiment (cultivar, SB fertilizer, and drought stress) was set up to study tulip bulb characteristics. Drought stress at three levels (90, 80, and 70% of field capacity, FC), SB fertilizer at four levels (control, PSB, KSB, and PSB+KSB), and two cultivars (ʻGolden Melodyʼ and ʻApeldoornʼ) were applied. The application of PSB+KSB significantly increased the nutrient concentration (N, P, and K) in different parts of tulips, including the root, bulblet, outer and inner scale, under drought stress. The bulblet of ʻGolden Melodyʼ accumulated more K and P than ʻApeldoornʼ under drought conditions. Water-soluble sugar accumulation was maximum to a minimum depending on the outer scale ˃ bulblet ˃ inner scale. Application of PSB and KSB with irrigation water reduced the adverse effects of drought stress on water-soluble sugars, anhe combined treatment of PSB+KSB resulted in the highest amount of water-soluble sugars in a tulip, indicating a synergistic effect of PSB and KSB on tulip bulbs. The highest leaf number and leaf area were observed at 90% FC when PSB+KSB was applied. Drought stress reduced the number, diameter, and weight of bulbs, while application of PSB+KSB resulted in the highest diameter (47.7 mm), and weight (45.3 g) of cultivar ʻGolden Melodyʼ. Application of PSB+KSB fertilizer over irrigation water promoted bulb production of tulip cultivars under drought stress.
A pulsation zoo in the hot subdwarf B star KIC 10139564 observed by Kepler

We present our analyses of 15 months of Kepler data on KIC 10139564. We detected 57 periodicities with a variety of properties not previously observed all together in one pulsating subdwarf B (sdB) star. Ten of the periodicities were found in the low-frequency region, and we associate them with nonradial g modes. The other periodicities were found in the high-frequency region, which are likely p modes. We discovered that most of the periodicities are components of multiplets with a common spacing. Assuming that multiplets are caused by rotation, we derive a rotation period of 25.6 ± 1.8 d. The multiplets also allow us to identify the pulsations to an unprecedented extent for this class of pulsator. We also detect l ≥ 2 multiplets, which are sensitive to the pulsation inclination and can constrain limb darkening via geometric cancellation factors. While most periodicities are stable, we detected several regions that show complex patterns. Detailed analyses showed that these regions are complicated by several factors. Two are combination frequencies that originate in the super-Nyquist region and were found to be reflected below the Nyquist frequency. The Fourier peaks are clear in the super-Nyquist region, but the orbital motion of Kepler smears the Nyquist frequency in the barycentric reference frame and this effect is passed on to the sub-Nyquist reflections. Others are likely multiplets but unstable in amplitudes and/or frequencies. The density of periodicities also makes KIC 10139564 challenging to explain using published models. This menagerie of properties should provide tight constraints on structural models, making this sdB star the most promising for applying asteroseismology. To support our photometric analysis, we have obtained spectroscopic radial-velocity measurements of KIC 10139564 using low-resolution spectra in the Balmer-line region. We did not find any radial-velocity variation. We used our high signal-to-noise average spectrum to improve the atmospheric parameters of the sdB star, deriving Teff = 31 859 K and log g = 5.673 dex.
Parametrically enhanced hidden photon search

Many theories beyond the Standard Model contain hidden photons. A light hidden photon will generically couple to the Standard Model through a kinetic mixing term, giving a powerful avenue for detection using "Light-Shining-Through-A-Wall"-type transmission experiments with resonant cavities. We demonstrate a parametric enhancement of the signal in such experiments, resulting from transmission of the longitudinal mode of the hidden photon. While previous literature has focused on the production and detection of transverse modes, the longitudinal mode allows a significant improvement in experimental sensitivity. Although optical experiments such as ALPS are unable to take useful advantage of this enhancement, the reach of existing microwave cavity experiments such as CROWS is significantly enhanced beyond their published results. Future microwave cavity experiments, designed with appropriate geometry to take full advantage of the longitudinal mode, will provide a powerful probe of hidden-photon parameter space extending many orders of magnitude beyond current limits, including significant regions where the hidden photon can be dark matter.
Using a hybrid model to detect earnings management for Polish public companies

This paper analyses the role of non-financial variables in the detection of earnings management in Poland. Previous research on earnings management in Poland concentrated on the use of the Beneish and Roxas models. The sample comprises 63 non-financial Polish companies listed on the Warsaw Stock Exchange for the years 2010-2021. The author uses the hybrid model with elements of decision trees and logistic regression as a proxy for earnings management detection. The results indicate that using a hybrid model increases the accuracy more than standard methods such as decision trees and logistic regression do. Accordingly, inclusion of non-financial variables related to the shareholding structure and the audit increases model accuracy and has a significant impact on the construction of the hybrid model. The findings suggest that using only financial variables worsens model accuracy. The author makes a significant contribution to accounting literature by providing new empirical evidence on the importance of non-financial variables in earnings management detection and their impact on model construction.