Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of frost tolerance in Brassica napus using Arabidopsis ACYL-COENZYME A-BINDING PROTEIN6

Canola crops in Australia are greatly affected by frost stress, especially at the grain-filling stage, which results in poor seed fill and poor oil quality. Frost tolerance was developed for rapid-cycling Brassica napus and B. napus ‘Westar’, using Agrobacteriummediated transformation with A. thaliana ACYL-COENZYME A-BINDING PROTEIN6 (ACBP6). Using four-day-old cotyledon explants, in vitro regeneration of rapid-cycling B. napus and B. juncea was established with an optimum concentration of 5 μM of BAP and 2 μM of NAA. B. napus ‘Westar’ and rapid-cycling B. napus were successfully transformed with ACBP6 through Agrobacterium-mediated transformation; with transformation efficiency of 6.1% for rapid-cycling B. napus and 4.9% for Westar. The fast development in vitro of rapid-cycling B. napus accelerated the recovery of transgenic plants within 6-7 weeks, compared to the long duration B. napus ‘Westar’ of at least 10 weeks. The integration of ACBP6 transgene and NPTII marker gene was confirmed in 10 independent transgenic plants (T0) of rapid-cycling B. napus and ‘Westar’ through PCR and RT-PCR. Western blot analysis confirmed expression of ACBP6 in the leaves. Nonacclimated ACBP6-overexpressing plants were tested for frost tolerance at -4°C (actual mean temperature was -5.2°C ± 0.79). Freezing tolerance in ACBP6-overexpressing rapid-cycling B. napus T3 and B. napus ‘Westar’ T2 plants was confirmed based on lower electrolyte leakage (at least 37%), minimal reduction of PSII efficiency [Y(II)] and higher CO2 assimilation rate (A). Boundary layer modelling of Y(II), A, stomatal conductance (gsw) and intercellular CO2 concentration (Ci) after freezing showed ACBP6overexpressing plants performed similarly with non-stressed plants. The tolerance to freezing injury was also observed in the developing seed embryos, based on image analysis of tissue stained with fluorescein diacetate (FDA) viability stain.
Mitigating the Spread and Translocation of Salmonella Enteritidis in Experimentally Infected Broilers under the Influence of Different Flooring Housing Systems and Feed Particle Sizes

This study aimed to evaluate the influences of different flooring designs and feed particle sizes on the spread of Salmonella (S.) in broiler chickens. Birds (n = 480) were allocated to four different housing systems (fully littered with and without floor heating, partially and fully slatted flooring with sand bath) and two dietary treatments (finely and coarsely ground diets) in 24 boxes. Two broilers per box were experimentally infected with S. Enteritidis (8.00 log10 CFU/bird) at d 17. Salmonella prevalence in caecal contents and the liver was highest in broilers housed on fully slatted floor until d 36/37 (88.1% and 91.5%, respectively), and lowest in litter flooring (caecal content 64.4%) and litter flooring with floor heating (liver 61.7%). In turn, broilers on littered flooring expressed the lowest Salmonella counts in caecal content at d 36/37 (2.21 ± 1.75 log10 CFU/g), partial slatted flooring the highest (3.76 ± 1.46 log10 CFU/g). The mean Salmonella count in the caecal content was significantly lower for birds fed a coarsely ground diet (0.96 and 1.94 log10 CFU/g) than a finely ground diet (5.07 and 3.34 log10 CFU/g) at d 23 and d 36/37, respectively (p < 0.0001). Slatted flooring with a sand bath did not show advantages in terms of Salmonella reduction, whereas the coarsely ground diet markedly reduced the spread of Salmonella.
Characterizing the Assemblage of Wood-Decay Fungi in the Forests of Northwest Arkansas

The study reported herein represents an effort to characterize the wood-decay fungi associated with three study areas representative of the forest ecosystems found in northwest Arkansas. In addition to specimens collected in the field, small pieces of coarse woody debris (usually dead branches) were collected from the three study areas, returned to the laboratory, and placed in plastic incubation chambers to which water was added. Fruiting bodies of fungi appearing in these chambers over a period of several months were collected and processed in the same manner as specimens associated with decaying wood in the field. The internal transcribed spacer (ITS) ribosomal DNA region was sequenced, and these sequences were blasted against the NCBI database. A total of 320 different fungal taxa were recorded, the majority of which could be identified to species. Two hundred thirteen taxa were recorded as field collections, and 68 taxa were recorded from the incubation chambers. Thirty-nine sequences could be recorded only as unidentified taxa. Collectively, the specimens of fungi collected in the forests of northwest Arkansas belong to 64 and 128 families and genera, respectively.
Molecular Mechanisms of Atopic Dermatitis Pathogenesis

Atopic dermatitis is a chronic, non-infectious inflammatory dermatosis. Acharacteristic feature is persistent itching of the skin. The chronic, relapsing course of the disease, economic burden, and the whole family’s involvement in the treatment process immensely reduce the quality of life of patients and their families. The disease emerges as a social problem by increasing indirect costs, such as visiting a doctor, absenteeism from work and school, and avoiding social interactions. Thepathophysiology of atopic dermatitis is complex and multifactorial. It includes genetic disorders, a defect in the epidermal barrier, an altered immune response, anddisruption of the skin’s microbial balance. The numerous complex changes at thegenetic level and innate and adaptive immunity provide the basis for characterizing the various phenotypes and endotypes of atopic dermatitis. Emerging therapies rely on the action of specific molecules involved in the disease’s pathogenesis. It may be the starting point for the individualization of atopic dermatitis treatment. This paper will try to present some molecular mechanisms of atopic dermatitis and their clinical implications.
Structures of the ß-Keratin Filaments and Keratin Intermediate Filaments in the Epidermal Appendages of Birds and Reptiles (Sauropsids)

The epidermal appendages of birds and reptiles (the sauropsids) include claws, scales, and feathers. Each has specialized physical properties that facilitate movement, thermal insulation, defence mechanisms, and/or the catching of prey. The mechanical attributes of each of these appendages originate from its fibril-matrix texture, where the two filamentous structures present, i.e., the corneous ß-proteins (CBP or ß-keratins) that form 3.4 nm diameter filaments and the α-fibrous molecules that form the 7–10 nm diameter keratin intermediate filaments (KIF), provide much of the required tensile properties. The matrix, which is composed of the terminal domains of the KIF molecules and the proteins of the epidermal differentiation complex (EDC) (and which include the terminal domains of the CBP), provides the appendages, with their ability to resist compression and torsion. Only by knowing the detailed structures of the individual components and the manner in which they interact with one another will a full understanding be gained of the physical properties of the tissues as a whole. Towards that end, newly-derived aspects of the detailed conformations of the two filamentous structures will be discussed and then placed in the context of former knowledge.
Growing Human Hepatocellular Tumors Undergo a Global Metabolic Reprogramming

Simple Summary Metabolic reprogramming is a hallmark of malignancy. Hepatocellular carcinoma (HCC) cancer cells alterations in metabolism are due to the adaption to hypoxia and hypo-nutrient conditions. Several proteins and metabolites associated with glycolysis, tricarboxylic acid cycle and pyrimidine synthesis were found to be differentially regulated in serum, tumor and peritumoral tissues with increased tumor size, suggesting that microenvironment and tumor cell cooperate to regulate metabolism. In this study, the metabolomic characterization of HCC using paired tumor and adjacent liver tissues indicated tumor size-dependent metabolic reprogramming. Targeting cancer metabolism provides potential diagnostic and prognostic metabolic biomarkers. Our study brings new insight into the potential therapeutic use of metabolic targets and a methodological framework and diagnostic and prognostic metabolic markers that may be used in a clinical setting. The stratification of future clinical trials based on these metabolic subsets should improve the development of effective therapies and more intensive surveillance. Abstract Hepatocellular carcinoma (HCC) is a common malignancy with poor prognosis, high morbidity and mortality concerning with lack of effective diagnosis and high postoperative recurrence. Similar with other cancers, HCC cancer cells have to alter their metabolism to adapt to the changing requirements imposed by the environment of the growing tumor. In less vascularized regions of tumor, cancer cells experience hypoxia and nutrient starvation. Here, we show that HCC undergoes a global metabolic reprogramming during tumor growth. A combined proteomics and metabolomics analysis of paired peritumoral and tumor tissues from 200 HCC patients revealed liver-specific metabolic reprogramming and metabolic alterations with increasing tumor sizes. Several proteins and metabolites associated with glycolysis, the tricarboxylic acid cycle and pyrimidine synthesis were found to be differentially regulated in serum, tumor and peritumoral tissue with increased tumor sizes. Several prognostic metabolite biomarkers involved in HCC metabolic reprogramming were identified and integrated with clinical and pathological data. We built and validated this combined model to discriminate against patients with different recurrence risks. An integrated and comprehensive metabolomic analysis of HCC is provided by our present work. Metabolomic alterations associated with the advanced stage of the disease and poor clinical outcomes, were revealed. Targeting cancer metabolism may deliver effective therapies for HCC.
Studying the Bulk and Contour Ice Nucleation of Water Droplets via Quartz Crystal Microbalances

Due to the stochastic and time-dependent character of the ice embryo formation and growth (i.e., a process that can be analyzed statistically, but cannot be predicted precisely), the heterogeneous ice nucleation on atmospheric aerosols or macroscopic solid surfaces is still shrouded in mystery, regardless of the extremely active research and exponential progress within this scientific field. For instance, whether the icing appears from outside-in or inside-out is a subject of intense controversy, with practicability in designing passive icephobic coatings or improving the effectiveness of the cryopreservation technologies. Here, we propose an artful technique for quantitative analysis of the different modes of water freezing using super-nonwettable soot-coated quartz crystal microbalances (QCMs). To achieve this goal, a set of 5 MHz QCMs are loaded one at a time with a 50 μL droplet, whose bulk or contour solidification is detected in real-time. The obtained experimental results show that our sensor devices recognize explicitly if the ice nuclei form predominantly at the liquid–solid interface or spread along the droplet’s entire outer shell by triggering individual reproducible responses in terms of the direction of signal evolution in time. Our results may serve as a foundation for the future incorporation of QCM devices in different freezing assays, where gaining information about the ice adhesion forces and ice layer’s thickness is mandatory.
QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents

Traits such as plant height (PH), juvenile growth habit (GH), heading date (HD), and tiller number are important for both increasing yield potential and improving crop adaptation to climate change. In the present study, these traits were investigated by using the same bi-parental population at early (F2 and F2-derived F3 families) and late (F6 and F7, recombinant inbred lines, RILs) generations to detect quantitative trait loci (QTLs) and search for candidate genes. A total of 176 and 178 lines were genotyped by the wheat Illumina 25K Infinium SNP array. The two genetic maps spanned 2486.97 cM and 3732.84 cM in length, for the F2 and RILs, respectively. QTLs explaining the highest phenotypic variation were found on chromosomes 2B, 2D, 5A, and 7D for HD and GH, whereas those for PH were found on chromosomes 4B and 4D. Several QTL detected in the early generations (i.e., PH and tiller number) were not detected in the late generations as they were due to dominance effects. Some of the identified QTLs co-mapped to well-known adaptive genes (i.e., Ppd-1, Vrn-1, and Rht-1). Other putative candidate genes were identified for each trait, of which PINE1 and PIF4 may be considered new for GH and TTN in wheat. The use of a large F2 mapping population combined with NGS-based genotyping techniques could improve map resolution and allow closer QTL tagging.
The Significance of Demographic Variables on Psychosocial Health from the Early Stage and Nine Months after the COVID-19 Pandemic Outbreak. A Cross-National Study

This cross-national study explored stability and change in mental health, quality of life, well-being and loneliness during the early stage and nine months after the implementation of COVID-19 pandemic social distancing measures and periodic lockdowns as adjusted by demographic variables. In the USA, the UK, Australia and Norway, 7284 individuals responded to the invitation to take part in two cross-sectional web-based surveys (April and November 2020), including questions about sociodemographic variables and psychosocial outcomes. Independent t-tests and generalized linear models (GLM) and estimated marginal means were used to analyze differences between subgroups and countries, multiple linear regression analyses were conducted on the psychosocial outcome measures by demographic variables and time in each country and mean responses presented by time after adjusting for all demographic variables in the model. Age, gender, civil status, education, employment, place of work and living area were all significant factors for psychosocial health across the countries. Differences in mental health, quality of life, well-being and loneliness were found between the countries in both April and November 2020, while time did not contribute to reducing the toll in any of the four countries over the nine-month period.
Low-Frequency Seismic Noise Properties in the Japanese Islands

The records of seismic noise in Japan for the period of 1997–2020, which includes the Tohoku seismic catastrophe on 11 March 2011, are considered. The following properties of noise are analyzed: The wavelet-based Donoho–Johnston index, the singularity spectrum support width, and the entropy of the wavelet coefficients. The question of whether precursors of strong earthquakes can be formulated on their basis is investigated. Attention is paid to the time interval after the Tohoku mega-earthquake to the trends in the mean properties of low-frequency seismic noise, which reflect the constant simplification of the statistical structure of seismic vibrations. Estimates of two-dimensional probability densities of extreme values are presented, which highlight the places in which extreme values of seismic noise properties are most often realized. The estimates of the probability densities of extreme values coincide with each other and have a maximum in the region: 30° N ≤ Lat ≤ 34° N, 136° E ≤ Lon≤ 140° E. The main conclusions of the conducted studies are that the preparation of a strong earthquake is accompanied by a simplification of the structure of seismic noise. It is shown that bursts of coherence between the time series of the day length and the noise properties within annual time window precede bursts of released seismic energy. The value of the lag in the release of seismic energy relative to bursts of coherence is about 1.5 years, which can be used to declare a time interval of high seismic hazard after reaching the peak of coherence.
Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative Approach

We are overwhelmed by a deluge of data and, although its interpretation is challenging, fortunately, information technology comes to the rescue. One of the tools is artificial intelligence, allowing the identification of relationships between variables and their arbitrary classification. We focused on the assessment of both the remission of proteinuria and the deterioration of kidney function in patients with IgA nephropathy, comparing several methods of machine learning. It is of utmost importance to respond to subtle changes in kidney function, which will lead to a deceleration of the disease. This goal has been achieved by analyzing regression techniques, predicting the difference in serum creatinine concentration. We obtained the performance of the tested models which classified patients with high accuracy (Random Forest Classifier showed an accuracy of 0.8–1.0, Multi-Layer Perceptron an Area Under Curve of 0.8842–0.9035 and an accuracy of 0.7527–1.0) and regressors with a low estimation error (Decision Tree Regressor showed MAE 0.2059, RMSE 0.2645). We have demonstrated the impact of both model selection and input features on performance. Application of machine learning methods requires careful selection of models and assessed parameters. The computing power of modern computers allows searching for the models most effective in terms of accuracy.
Effect of Physiotherapy Treatment in the Autonomic Activation and Pain Perception in Male Patients with Non-Specific Subacute Low Back Pain

Introduction: Physiotherapy treatment is a common intervention for low back pain (LBP) patients. These interventions have been related to physiological effects in the central nervous system. Thus, the aim of this study was to analyze the effect of physiotherapy treatment in patients with LBP in the autonomic nervous system activation and subjective pain perception of patients. Methods: A total of 30 male subjects diagnosed with non-specific subacute LBP received a 50 min session consisting of (a) a manual therapy based on joint mobilization and soft tissues techniques in the lumbo-pelvic area, (b) a stretching program, and (c) motor control exercises of the core muscles. The autonomic modification of participants was assessed prior to and after the physiotherapy treatment. Results: Heart rate variability (HRV) analysis reported a significant increase in average RR (p = 0.001), RMSSD (p = 0.008), LRMSSD (p = 0.001), SDNN (p = 0.005), and PNN50 (p = 0.024) after the session. Frequency-domain measures showed a significant increase in LF (p = 0.030) and HF (p = 0.014), and a decrease in LF/HF ratio (p = 0.046). A significant decrease was found in minimum HR values (p = 0.001) and average HR (p = 0.001). Moreover, maximal HR decreased its value from 116.7 ± 26.1 to 113.7 ± 40.8 after intervention. In addition, subjective pain perception (VAS scores) was significantly lower (p = 0.001) in the post-session assessment. Conclusions: Physiotherapy treatment produced an increase in parasympathetic nervous system activation and a decrease in subjective pain perception in non-specific subacute LBP patients.
Correlation between the Need for Cognitive Closure and Narrative Creativity in Secondary Education

(1) Background: The present study analyzed the need for cognitive closure and narrative creativity in adolescents. The aim was to demonstrate a strong relationship between narrative creativity and the need for cognitive closure. We analyzed a group of participants by applying a lie scale integrated with the Need for Closure Scale to detect potential relationships between students that entered the lie scale group (discarded) and those that were not discarded by exploring the following variables: gender, school type, group condition, and narrative creativity. (2) Methods: The instruments used were the Need for Closure Scale and the Test of Creative Imagination for Young People, PIC-J. Students of English as a foreign language in the 3rd year of secondary education from two schools were selected based on their availability to participate in the project. The students were aged 14 to 16 with a non-probabilistic sampling value of N = 117. (3) Results: Results show a negative correlation between narrative creativity and the need for cognitive closure. The need for cognitive closure is mainly manifested in two of its five dimensions: order and predictability. In addition, the group analysis of the lie scale revealed a higher tendency of male students to be less likely to respond truthfully. Meanwhile, the percentage of participants in the lie scale group was higher in rural schools. (4) Conclusions: In conclusion, students who do not belong to the lie scale group seem to have more creativity than students in the lie scale group, while students in the lie scale group have a lower final course grade than students in the non lie scale group.
Positron Emission Tomography Imaging of Macrophages in Cancer

Simple Summary Tumor-associated macrophages (TAMs) play numerous roles in cancer biology and are an important component of the relationship between immune system response and tumor progression. Several new immunotherapy techniques have been developed that target TAMs and are under investigation in both clinical and preclinical settings. Despite this surge of new immunotherapy techniques, a means to specifically and quantifiably measure the presence of TAMs to ensure the viability of these therapies, has yet to be widely investigated. The development of molecular imaging agents that target TAMs provides a path to noninvasively gain valuable insight into the molecular and functional characteristics of the tumor microenvironment and how the immune response facilitates the progression of cancer or therapy response. This article reviews published preclinical and clinical research in the imaging of TAMs through Positron Emission Tomography (PET). Abstract Macrophages are large phagocytic cells that can be classified as a type of white blood cell and may be either mobile or stationary in tissues. The presence of macrophages in essentially every major disease makes them attractive candidates to serve as therapeutic targets and diagnostic biomarkers. Macrophages that are found in the microenvironment of solid tumors are referred to as tumor-associated macrophages (TAMs) and have been shown to influence chemoresistance, immune regulation, tumor initiation and tumor growth. The imaging of TAMs through Positron Emission Tomography (PET) has the potential to provide valuable information on cancer biology, tumor progression, and response to therapy. This review will highlight the versatility of macrophage imaging in cancer through the use of PET.