Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Sustainable Sources of Omega-3 Long-Chain Polyunsaturated Fatty Acids in Northern Australian Tropical Crossbred Beef Steers through Single Nucleotide Polymorphisms in Lipogenic Genes for Meat Eating Quality

This study aimed to identify single nucleotide polymorphisms (SNP) in lipogenic genes of northern Australian tropically adapted crossbred beef cattle and to evaluate associations with healthy lipid traits of the Longissimus dorsi (loin eye) muscle. The hypothesis tested was that there are significant associations between SNP loci encoding for the fatty acid binding protein 4 (FABP4), stearoyl-CoA desaturase (SCD) and fatty acid synthase (FASN) genes and human health beneficial omega-3 long-chain polyunsaturated fatty acids (ω3 LC-PUFA) within the loin eye muscle of northern Australian crossbred beef cattle. Brahman, Charbray, and Droughtmaster crossbred steers were fed on Rhodes grass hay augmented with desmanthus, lucerne, or both, for 140 days and the loin eye muscle sampled for intramuscular fat (IMF), fat melting point (FMP), and fatty acid composition. Polymorphisms in FABP4, SCD, and FASN genes with significant effects on lipid traits were identified with next-generation sequencing. The GG genotype at the FABP4 g.44677239C>G locus was associated with higher proportion of linoleic acid than the CC and CG genotypes (p < 0.05). Multiple comparisons of genotypes at the SCD g.21266629G>T locus indicated that the TT genotype had significantly higher eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids than GG genotype (p < 0.05). Significant correlations (p < 0.05) between FASN SNP and IMF, saturated and monounsaturated fatty acids were observed. These results provide insights into the contribution of lipogenic genes to intramuscular fat deposition and SNP marker-assisted selection for improvement of meat-eating quality, with emphasis on alternate and sustainable sources of ω3 LC-PUFA, in northern Australian tropical crossbred beef cattle, hence an acceptance of the tested hypothesis.
The P300 Auditory Evoked Potential in Cochlear Implant Users: A Scoping Review

Abstract Introduction The P300 auditory evoked potential is a long-latency cortical potential evoked with auditory stimulation, which provides information on neural mechanisms underlying the central auditory processing. Objectives To identify and gather scientific evidence regarding the P300 in adult cochlear implant (CI) users. Data Synthesis A total of 87 articles, 20 of which were selected for this study, were identified and exported to the Rayyan search software. Those 20 articles did not propose a homogeneous methodology, which made comparison more difficult. Most articles (60%) in this review compare CI users with typical hearing people, showing prolonged P300 latency in CI users. Among the studies, 35% show that CI users present a smaller P300 amplitude. Another variable is the influence of the kind of stimulus used to elicit P300, which was prolonged in 30% of the studies that used pure tone stimuli, 10% of the studies that used pure tone and speech stimuli, and 60% of the studies that used speech stimuli. Conclusion This review has contributed with evidence that shows the importance of applying a controlled P300 protocol to diagnose and monitor CI users. Regardless of the stimuli used to elicit P300, we noticed a pattern in the increase in latency and decrease in amplitude in CI users. The user's experience with the CI speech processor over time and the speech test results seem to be related to the P300 latency and amplitude measurements.
Synthesis and Characterization of High Viscosity Cationic Poly(Proline-Epichlorohydrin) Composite Polymer with Antibacterial Functionalities

We report microbial resistance and catalytic activity of high viscosity cationic poly(proline-epichlorohydrin) composite (PRO-EPI) in the aqueous system. The PRO-EPI was prepared by a simple polycondensation, followed by FTIR, 1H NMR, SEM, DLS, viscosity, and DSC/TGA characterization. Several concentrations of the PRO-EPI were tested against Gram-negative (E. coli and Pseudomonas aeruginosa) and Gram-positive (Staphylococcus aureus) microorganisms. The antimicrobial screening revealed that PRO-EPI was a potent antimicrobial agent with the least inhibitory concentrations (MICs) of 128 µg/mL against Gram-negative microorganisms. The PRO-EPI indicated no inhibitory effect against Gram-positive microorganisms. It was determined that PRO-EPI contains polymeric-quaternary ammonium compounds that inactivate the Gram-negative microorganisms by a dual mode of action and carries domains for electrostatic interaction with the microbial membrane and an intracellular target. To study the removal of toxic industrial wastewater, congo red (CR) was tested using sodium borohydride as a reducing agent. Adsorption was achieved within 20 min at a rate constant of 0.92 ks−1. UV–vis spectra showed that the removal of CR in the reaction solution was due to the breakup of the azo (–N=N–) bonds and adsorption of aromatic fragments. PRO is biodegradable and non-toxic, and PRO-EPI was found to be both antimicrobial and also acts as a catalyst for the removal of congo red dye.
Are Bankruptcy Models Adequate for Condition Assessment of Companies Listed on Warsaw Stock Exchange?

Abstract The goal of this paper is to present early warning models used in the process of bankruptcy recognition that should meet the terms of good economic condition. Economic condition of a company on a capital market is good when the goal of the business is achieved, namely the increase in value, that occurs with the increase in earnings per share. The results show that the higher scores in a discriminant model, the lower the EPS growth rate. Correlation and linear regression models are applied on a group of observations from companies listed on Warsaw Stock Exchange.
Stromal Co-Cultivation for Modeling Breast Cancer Dormancy in the Bone Marrow

Simple Summary Cancer cells travel to far away parts of the body before the original cancer can be detected. Breast cancer cells travel mainly to the bone marrow, where they are kept in a quiet, non-dividing, dormant state for many years by cells and proteins in the bone marrow. These metastatic cancer cells wake up at a steady rate over the years and result in incurable disease. This paper outlines how to study the interactions of cells that live in the bone marrow with cancer cells in the laboratory. We describe how to grow mixtures of a variety of bone marrow-residing cells to generate cell layers upon which cancer cells can be grown. Using this system, we can study their effects on cancer cell growth or dormancy and the biology of the interactions. With this approach, we can study how to either eliminate the cancer cells or prevent them from waking up. Abstract Cancers metastasize to the bone marrow before primary tumors can be detected. Bone marrow micrometastases are resistant to therapy, and while they are able to remain dormant for decades, they recur steadily and result in incurable metastatic disease. The bone marrow microenvironment maintains the dormancy and chemoresistance of micrometastases through interactions with multiple cell types and through structural and soluble factors. Modeling dormancy in vitro can identify the mechanisms of these interactions. Modeling also identifies mechanisms able to disrupt these interactions or define novel interactions that promote the reawakening of dormant cells. The in vitro modeling of the interactions of cancer cells with various bone marrow elements can generate hypotheses on the mechanisms that control dormancy, treatment resistance and reawakening in vivo. These hypotheses can guide in vivo murine experiments that have high probabilities of succeeding in order to verify in vitro findings while minimizing the use of animals in experiments. This review outlines the existing data on predominant stromal cell types and their use in 2D co-cultures with cancer cells.
Biomarkers of infectious pneumonia in naturally infected calves.

OBJECTIVE To investigate the clinical value of selected biomarkers for evaluation of systemic inflammatory response and pulmonary inflammation and damage pattern in calves with different pneumonia forms. ANIMALS 16 calves with fibrinous pneumonia (FP group; infected with Mannheimia haemolytica or Pasteurella multocida), 12 calves with caseonecrotic pneumonia (CNP group; infected with Mycoplasma bovis), and 10 healthy calves (C group) based on results of bronchoalveolar lavage fluid (BALF) examination. PROCEDURES Blood and BALF samples were collected. Annexin-A2 (Anx-A2), endothelin-1 (ET-1), calgranulin B (S100A9), transforming growth factor-β1 (TGF-β1), tumor necrosis factor-α (TNF-α), interleukin-17A (IL-17A), haptoglobin (Hp), lipopolysaccharide-binding protein (LBP), and albumin (Alb) concentrations and lactate dehydrogenase (LDH) and alkaline phosphatase (ALP) activities were measured and compared across groups. RESULTS Serum concentrations of Anx-A2, S100A9, TGF-β1, TNF-α, IL-17A, Hp, and LBP and activities of LDH and ALP were higher and Alb concentrations were lower for the pneumonia groups versus C group. BALF concentration ratios of S100A9:Alb, LBP:Alb, LDH:Alb, and ALP:Alb were higher for the pneumonia groups versus C group (P < .05). BALF concentration ratios of Anx-A2:Alb, TGF-β1:Alb, and IL-17A:Alb were higher for the FP group versus other groups (P < .05). CLINICAL RELEVANCE Results indicated that serum Anx-A2, S100A9, TGF-β1, TNF-α, IL-17A, Hp, LBP, and Alb concentrations were useful in determining the systemic inflammatory response and that BALF concentration ratios of S100A9:Alb, TGF-β1:Alb, LBP:Alb, and ALP:Alb were useful biomarkers in determining pulmonary inflammation and damage. Measurements of BALF concentration ratios of Anx-A2:Alb, TGF-β1:Alb, and IL-17A:Alb could be beneficial to defining fibrinous characterization of pulmonary inflammation.
Cellulose Sponge, the Detector of Esophageal Cancer: Innovation for Early Detection of Esophageal Cancer without Biopsy?: A Mini Review

Patients with esophageal cancer each year can reach 400,000 people. Inefficient screening methods and worsening symptoms, patients often come late. Squamous cell carcinoma, which is the cause of esophageal cancer, has percentage of 84% of all cancer incidences. So far, the current screening strategy is endoscopy with biopsy. This screening has the main side effect of bleeding in metaplastic area. Cellulose Sponge, the Detector of Esophageal Cancer (CaSPER), can be used for screening without a biopsy using a cellulose sponge. The method used in this mini review is an evidence-based method that focuses on evaluating pre-existing journals. The result is that CaSPER is able to provide strong cellular results of 98%, specificity of 100%, and sensitivity of 97%. Capsules made of glucose and cytosponge of cellulose will bring the metaplastic cells to the sponge. This screening is feasible, safe, comfortable, and without side effects. Using trefoil factor 3 as biomarker is able to distinguish between goblet and pseudogoblet cells. CaSPER is minimally invasive, cheaper, and easily accepted, so that in the future it is hoped that it can be mass produced, especially for areas with high esophageal cancer.
New Methods for Medical Augmented Reality (Neue Methoden für die medizinische Erweiterte Realität)

The increasing amount of imaging data in the operating room offers new possibilities for surgeons. Preoperative data like Computed Tomography and Magnetic Resonance Imaging allow for detailed anatomical information. Recently, intraoperative imaging like X-ray C-arms and ultrasound have become increasingly accessible in the OR and provide real-time anatomical images. Also, functional imaging such as PET and fMRI is accessible in a growing number of institutions. Corresponding intraoperative functional probes allow more efficient procedures to be introduced in the near future. The growing amount of imaging data increases the difficulty of retrieving the desired piece of information. Thus, efficient data representation becomes increasingly important for physicians. Visualization in computer assisted surgical solutions has not coped with the recent developments and does still not provide solutions which allow surgeons to take full advantage of the existing heterogeneous imaging data. Augmented Reality (AR) is a technology that has potential to improve physicians' performance by bringing the multitude of medical data, surgical actions, and patient into the same space. After more than a decade of research in medical Augmented Reality, the technology is sufficiently developed to create prototype systems for showrooms. However, it has still not found its way into operating rooms. This thesis addresses current issues of medical Augmented Reality in defining the right place, right time, and the right way of data representation. The first contribution is in providing an exhaustive state-of-the-art report on medical Augmented Reality. It then features a detailed overview of components that are necessary for a medical AR system and introduces a new method for temporal registration in AR. It provides details on the integration of these components and describes the necessary software framework that has been developed. The thesis presents new methods for assessment of a medical AR system addressing latency measurement and dynamic error prediction. The thesis concludes with validation which was done in close partnership with many surgeons.
Selection of Sweetpotato Parental Genotypes Using Simple Sequence Repeat Markers

Knowledge of the genetic diversity and genetic relationship is important in crop improvement. The objective of this study was to determine the genetic diversity of 31 sweetpotato genotypes and furthermore to select distantly related individuals for breeding of superior parental clones. The genotypes (sourced from the Agricultural Research Council, South Africa) originating from Africa and American continent were genotyped using eight highly polymorphic SSR markers. The SSR markers generated a total of 83 putative alleles. The polymorphic information content (PIC) of the tested simple sequence markers varied from 0.73 to 0.91, with a mean of 0.85. At least 11 different alleles were found in 8 loci within the population, with 7 effective alleles per locus. Although high diversity was found among the genotypes, genetic distances among the genotypes were relatively low. Cluster analysis revealed the existence of three distinct genetic groups, and the clustering patterns follow to some extent the geographic origin and pedigree of the genotypes. High gene flow was observed among different sweetpotato accessions. The selected SSR markers were found to be highly polymorphic with high discriminatory power for genetic characterization studies and are useful genomic tool to complement phenotyping of sweetpotato genotypes. Two heterotic groups were found in the study. The heterotic group A was composed of 14 genotypes mainly of South African origin, while the heterotic group B consisted of 17 genotypes of American origin. The two distinct groups were important for the selection of breeding clones that were distantly related to be used as parental clones in the advancement of traits of interest.
Assessing compatibility of excipients selected for a sustained release formulation of bilberry leaf extract

The study is aimed to assess the compatibility of bilberry leaf powder extract (BLPE) with six excipients selected for sustained-release (SR) tablet formulation. The BLPE was obtained with the addition of L-arginine and Myo-inositol as the carriers. Thermogravimetric (TG–DTG) analysis and Fourier-transform infrared spectroscopy (FTIR), supported by Pearson correlation analysis, were applied to detect possible interactions in the binary mixtures (1:1) of the BLPE with each excipient. The TG–DTG showed some deviations in the thermal behavior of the BLPE / excipient mixtures. However, only the thermal behavior of magnesium stearate in the mixture significantly differed from individual samples, which suggested chemical interaction for this excipient. The FTIR analysis confirmed that the BLPE is compatible with Eudragit L100, Methocel K4M, Methocel K100LV, Avicel PH-101, and Plasdone S-630. Whereas it undergoes solid-state chemical interaction in the binary mixture with magnesium stearate. According to the FTIR-spectra, it is suggested that this interaction results in the formation of stearic acid and alkalization of the medium. These findings evidence for the possibility of using TG-DTG analysis as an independent thermal technique for compatibility studies and also confirm the earlier reported interaction of basic lubricants, e.g., stearic salts, with active ingredients containing amino groups.
Agresión mitral reumática. utilidad de la ecocardiografía transesofágica 3D

RESUMEN La cardiopatía reumática es la causa líder de enfermedad cardiovascular en menores de 25 años en el mundo, con una mayor prevalencia en países de bajos ingresos. El hallazgo habitual y distintivo de agresión reumática es la estenosis mitral, lo cual conlleva a graves consecuencias cardiovasculares. Las guías internacionales establecen la ecocardiografía transtorácica (ETT) como prueba diagnóstica de la cardiopatía reumática; sin embargo, presenta limitaciones en la medición de la planimetría y las inherentes al Doppler. La ecocardiografía transesofágica 3D (ETE-3D) es una novel modalidad que muestra imágenes realísticas de la válvula mitral y que presenta como valor agregado el localizar con precisión el plano de máxima estenosis y determinar mejor el compromiso comisural.
Extracellular Citrate Treatment Induces HIF1α Degradation and Inhibits the Growth of Low-Glycolytic Hepatocellular Carcinoma under Hypoxia

Simple Summary Patients with low-glycolytic hepatocellular carcinoma (HCC) show better clinical outcomes than those with hypoxic and high-glycolytic HCC. Low-glycolytic HCCs seem to utilize carbon sources other than glucose for metabolic fuel and tumor growth. However, by increasing tumor size, its outgrowth perfusion generates hypoxic foci inside the tumor and becomes more aggressive and resistant to therapy. In this study, we found that SLC13A5/NaCT is an important solute carrier (SLC) in low-glycolytic HCCs. To adapt to hypoxic conditions, low-glycolytic cancer cells have to switch metabolism from oxidative phosphorylation to hypoxia-induced glycolysis by the upregulation of HIF1α. However, extracellular citrate treatment in HCCs with high SLC13A5/NaCT expression had reduced glucose uptake due to HIF1α degradation, inducing the failure of metabolic adaptation to hypoxia, resulting in anti-cancer effects in in vitro and in vivo animal models. Abstract HCC is well known for low glycolysis in the tumors, whereas hypoxia induces glycolytic phenotype and tumor progression. This study was conducted to evaluate the expression of SLCs in human HCCs and investigated whether extracellular nutrient administration related to SLCs in low-glycolytic HCC can prevent hypoxic tumor progression. SLCs expression was screened according to the level of glycolysis in HCCs. Then, whether extracellular nutrient treatment can affect hypoxic tumor progression, as well as the mechanisms, were evaluated in an in vitro cell line and an in vivo animal model. Low-glycolytic HCCs showed high SLC13A5/NaCT and SLC16A1/MCT1 but low SLC2A1/GLUT1 and HIF1α/HIF1α expression. Especially, high SLC13A5 expression was significantly associated with good overall survival in the Cancer Genome Atlas (TCGA) database. In HepG2 cells with the highest NaCT expression, extracellular citrate treatment upon hypoxia induced HIF1α degradation, which led to reduced glycolysis and cellular proliferation. Finally, in HepG2-animal models, the citrate-treated group showed smaller tumor with less hypoxic areas than the vehicle-treated group. In patients with HCC, SLC13A5/NaCT is an important SLC, which is associated with low glycolysis and good prognosis. Extracellular citrate treatment induced the failure of metabolic adaptation to hypoxia and tumor growth inhibition, which can be a potential therapeutic strategy in HCCs.
An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder Cancer

Simple Summary Bladder cancer is evidently a challenge as far as its prognosis and treatment are concerned. The investigation of potential biomarkers and therapeutic targets is indispensable and still in progress. Most studies attempt to identify differential signatures between distinct molecular tumor subtypes. Therefore, keeping in mind the heterogeneity of urinary bladder tumors, we attempted to identify a consensus gene-related signature between the common expression profile of bladder cancer and control samples. In the quest for substantive features, we were able to identify key hub genes, whose signatures could hold diagnostic, prognostic, or therapeutic significance, but, primarily, could contribute to a better understanding of urinary bladder cancer biology. Abstract Bladder cancer (BCa) is one of the most prevalent cancers worldwide and accounts for high morbidity and mortality. This study intended to elucidate potential key biomarkers related to the occurrence, development, and prognosis of BCa through an integrated bioinformatics analysis. In this context, a systematic meta-analysis, integrating 18 microarray gene expression datasets from the GEO repository into a merged meta-dataset, identified 815 robust differentially expressed genes (DEGs). The key hub genes resulted from DEG-based protein–protein interaction and weighted gene co-expression network analyses were screened for their differential expression in urine and blood plasma samples of BCa patients. Subsequently, they were tested for their prognostic value, and a three-gene signature model, including COL3A1, FOXM1, and PLK4, was built. In addition, they were tested for their predictive value regarding muscle-invasive BCa patients’ response to neoadjuvant chemotherapy. A six-gene signature model, including ANXA5, CD44, NCAM1, SPP1, CDCA8, and KIF14, was developed. In conclusion, this study identified nine key biomarker genes, namely ANXA5, CDT1, COL3A1, SPP1, VEGFA, CDCA8, HJURP, TOP2A, and COL6A1, which were differentially expressed in urine or blood of BCa patients, held a prognostic or predictive value, and were immunohistochemically validated. These biomarkers may be of significance as prognostic and therapeutic targets for BCa.
Optimal Imaging Receiver Design for High-Speed Mobile Optical Wireless Communications

The optical receivers suitable for the next generation of optical wireless networks need to be ultra-high-speed while having a wide field of view (FOV) to accommodate user mobility. The design of such receivers is challenging due to two known trade-offs, namely, the area-bandwidth and the gain-FOV. In this study, we consider these trade-offs and formulate an optimisation problem to design imaging receivers that can achieve maximum high speed while satisfying a minimum FOV requirement. The design will be based on an array of arrays of photodetectors for which we present analytical derivations of signal-to-noise ratio (SNR) assuming maximum ratio combining (MRC). Practical considerations and non-idealities have been considered in our design and the reliability of the analytical model is verified by Optic Studio-based simulations. The optimization problem is solved assuming on-off keying (OOK) modulation. The results show a trade-off between achievable data rate and FOV. For example, it is demonstrated that a data rate of ~23 Gbps is achievable with a receiver of at most 2 cm x 2 cm dimensions with a FOV of 15°. However, a receiver with the same dimensions may only achieve ~8 Gbps if the FOV requirement increases to 20°.