Miracle-dz/UniFAR-FTUs huggingface dataset:
Body composition: what's new?

Purpose of reviewBody mass index has been shown to be an imprecise measurement of fat-free and fat mass, and provides no information if weight changes occur as a result of a decrease in fat-free mass or an increase in fat mass. Recent findingsNon-invasive body composition methods (i.e. bioelectrical impedance analysis, air displacement plethysmography) can now be used to monitor fat-free and fat mass with weight gain and loss, and during aging. This review discusses body composition measurements in terms of ethnic differences, physical activity, and age, and the limitations of bedside techniques in obesity and abnormal hydration status. SummaryAn assessment of the fat-free and fat mass provides valuable information about changes in body composition with weight gain or loss and physical activity, and during aging. Non-invasive bedside techniques can now be used to evaluate the nutritional status of healthy and ill individuals.
First-Principles Study on the Mechanical Properties of Gd-Doped BCZT Ceramics

Due to their remarkable piezoelectric characteristics, (BaCa)(ZrTi)O3 (BCZT) ceramics exhibit vast potential for being employed in cutting-edge electromechanical apparatus. Extensive experimental studies have been conducted to better meet the practical needs of BCZT-based materials, focusing on their mechanical performance. However, there is a serious lack of research on the theoretical computational aspects. Here, first-principles calculations were utilized to evaluate the mechanical properties of BCZT-xGd ceramics. The structural models were established using the virtual crystal approximation (VCA) method. The investigated compounds demonstrate structural and mechanical strength, as evidenced by their negative formation energies and adherence to the Born stability criteria. Compared to pure BCZT, the substitution of Gd leads to a significant enhancement in the system’s elasticity and stiffness. The BCZT-0.05Gd with B-site doping demonstrates the highest level of Vicker’s hardness (HV), with the noteworthy observation that the inclusion of Gd concomitantly augments its machinability performance. Upon the incorporation of the Gd element, the anisotropic elasticity in the systems gradually transitions into isotropic elasticity, which favors a more uniform stress distribution and consequently reduces sensitivity to the formation and propagation of microcracks. These results indicate that BCZT-xGd exhibits potential for application in electromechanical systems.
MicroRNA-936 targets FGF2 to inhibit epithelial ovarian cancer aggressiveness by deactivating the PI3K/Akt pathway

Purpose: MicroRNA-936 (miR-936) was previously reported to be dysregulated and involved in the development of non-small cell lung cancer and glioma. However, the functional roles of miR-936 in epithelial ovarian cancer (EOC) remain unclear. In this study, we aimed to evaluate miR-936 expression in EOC and investigate its regulatory role in EOC cell behavior. Methods: The expression of miR-936 in EOC was measured by RT-qPCR. Cell proliferation, apoptosis, migration, and invasion in vitro, as well as tumor growth in vivo, were determined by CCK-8, ﬂ ow cytometry, migration and invasion assays, and xenograft models in nude mice, respectively. Bioinformatics analysis, luciferase reporter assays, RT-qPCR, and Western blot analysis were performed to investigate the relationship between miR-936 and ﬁ broblast growth factor 2 (FGF2). Results: miR-936 expression was signi ﬁ cantly downregulated in EOC tissues and cell lines. Low miR-936 expression was found to be correlated with the tumor size, FIGO stage, and lymphatic metastasis in EOC patients. Functional experiments indicated that ectopic miR-936 expression suppressed EOC cell proliferation, migration, and invasion; promoted cell apoptosis; and decreased tumor growth in vivo. In addition, the FGF2 gene was veri ﬁ ed to be a direct target of miR-936 in EOC cells. FGF2 expression levels were upregulated in EOC tissues and were inversely correlated with miR-936 expression. Furthermore, effects of FGF2 silencing were similar to those of miR-936 overexpression in EOC cells. Recovered FGF2 expression rescued the miR-936-induced inhibitory effects in EOC cells. Notably, miR-936 was able to deactivate the PI3K/Akt signaling pathway in EOC cells by regulating FGF2 both in vitro and in vivo. Conclusion: Altogether, our ﬁ ndings provided initial evidence that miR-936 inhibits the aggressiveness of EOC cells in vitro and in vivo, at least partially, by targeting FGF2-mediated suppression of the PI3K/Akt pathway. Therefore, the miR-936/FGF2/PI3K/Akt pathway is a promising therapeutic target for the treatment of EOC patients.
Low dose ionizing radiation strongly stimulates insertional mutagenesis in a #_#x03B3;H2AX dependent manner

Extrachromosomal DNA can integrate into the genome with no sequence specificity producing an insertional mutation. This process, which is referred to as random integration (RI), requires a double stranded break (DSB) in the genome. Inducing DSBs by various means, including ionizing radiation, increases the frequency of integration. Here we report that nonlethal physiologically relevant doses of ionizing radiation (10–100 mGy), within the range produced by medical imaging equipment, stimulate RI of transfected and viral episomal DNA in human and mouse cells with an extremely high efficiency. Genetic analysis of the stimulated RI (S-RI) revealed that it is distinct from the background RI, requires histone H2AX S139 phosphorylation (γH2AX) and is not reduced by DNA polymerase θ (Polq) inactivation. S-RI efficiency was unaffected by the main DSB repair pathway (homologous recombination and non-homologous end joining) disruptions, but double deficiency in MDC1 and 53BP1 phenocopies γH2AX inactivation. The robust responsiveness of S-RI to physiological amounts of DSBs can be exploited for extremely sensitive, macroscopic and direct detection of DSB-induced mutations, and warrants further exploration in vivo to determine if the phenomenon has implications for radiation risk assessment.
Intergenerational paternal effect of adult density in Drosophila melanogaster

: 25 1. Notwithstanding recent evidences, paternal environment is thought to be a potential but 26 unlikely source of fitness variation that can affect trait evolution. Here we studied 27 intergenerational effects of males’ exposure to varying adult density in Drosophila 28 melanogaster laboratory populations. 29 2. We held sires at normal (N), medium (M) and high (H) adult densities for two days before 30 allowing them to mate with virgin females. This treatment did not introduce selection through 31 differential mortality. Further, we randomly paired males and females and allowed a single 32 round of mating between the sires and the dams. We then collected eggs from the dams and 33 measured the egg size. Finally, we investigated the effect of the paternal treatment on juvenile 34 and adult (male) fitness components. 35 3. We found a significant treatment effect on juvenile competitive ability where the progeny 36 sired by the H-males had higher competitive ability. Since we did not find the treatment to 37 affect egg size, this effect is unlikely to be mediated through variation in female provisioning. 38 4. Male fitness components were also found to have a significant treatment effect: M-sons had 39 lower dry weight at eclosion, higher mating latency and lower competitive mating success. 40 5. While being the first study to show both adaptive and non-adaptive effect of the paternal 41 density in Drosophila , our results highlight the importance of considering paternal 42 environment as important source of fitness variation. 43
Cloud phase and the surface energy balance of the arctic an investigation of mixed-phase clouds

Abstract : This study examines the phase relationship (liquid versus ice) in Arctic clouds Although it is recognized that clouds are fundamental components of the surface energy balance, the nature of Arctic cloud phase is poorly understood and may have important implications for feedbacks associated with the rapid disappearance of sea ice. This study uses the annual cycle of cloud, radiation, and meteorological measurements made as part of the Surface Heat Budget of the Arctic Ocean field program to derive empirical relationships for cloud liquid fraction as a function of observed variables. Relative to each other, single-layer liquid, ice, and mixed-phase clouds occurred 17.6%, 39.4%, and 42.9% of the time, respectively. The dominant role that mixed-phase clouds play in the surface energy balance of the Arctic was confirmed, emphasizing the need for their correct parameterization in models at all scales. A linear fit of liquid fraction to cloud base temperature between -36C and +2C predicts 35% of the fraction variance. Including the observed variables of cloud base height and surface wind speed as predictors predicts another 10%.
University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track

This paper describes our submission to the document ranking task of the TREC 2020 Deep Learning Track. We followed a three-stage architecture: candidate set retrieval, feature calculation and re-ranking using a learning-to-rank technique. In particular, in the feature calculation stage, we leverage the traditional information retrieval document weighting models and the deep contextualised language models to provide the features for the learning-to-rank technique in the final stage. We submitted three runs for the document ranking task: uogTr31oR , uogTrQCBMP and uogTrT20 and six base-line runs with no neural re-ranking techniques applied. Among our submitted runs, run uogTrQCBMP , which combines query expansion, ColBERT neural ranking and MaxPassage, was the most effective.
Observations et modélisations de proto-étoiles massives dans le cadre de l'observatoire spatial Herschel

La formation des etoiles massives reste, a ce jour, encore mal connue a cause de l'extreme quantite d'energie que ces etoiles degagent, limitant en consequence leurs masses theoriques et contredisant les observations de ce type d'etoile. Les observatoires du futur (en particulier l'observatoire spatial Herschel) vont tenter de repondre a cette problematique grâce notamment aux emissions moleculaires de l'eau. L'analyse precise et correcte de ces donnees, dans l'avenir, necessite donc des aujourd'hui un travail associant des observations et des modelisations des objets concernes. C'est dans ce but que cette these a consiste en l'elaboration d'une methode de modelisation dite « globale » d'objets proto-stellaires massifs (proto-amas ou cœurs denses massifs). Celle-ci a permis une description physique et une etude chimique des multiples cœurs denses massifs etudiees, et a ouvert de nombreuses voies vers des aspects evolutifs. Elle a egalement donne des indices pour affiner le programme d'observation en temps garanti WISH des raies moleculaires de l'eau et confirme le role clef de cette molecule pour la comprehension de la formation des etoiles massives.
Current Trends in Mass Communication How Ukraine Won the ‘#Like’ War with Russia Using Popular Mass Media – Dynamic Framing in Online Headlines in Poland

The entire world watched with horror when at the beginning of 2022, Russia attacked neighbouring Ukraine in order to fight with the alleged Nazism and the mistreatment of Russian citizens in Ukraine. The breakout of the conflict gave rise to varying media reports that have been flourishing in global and especially European media. This research analysed framing tendencies in the headlines of media reports from Onet.pl – one of the most popular and commonly visited news portals in Poland. The results of the study revealed strong framing leanings with two issue-specific frames dominating the discourse on top of a one-sided bias of the medium and its journalists in favour of Ukraine. At the same time particular framing trends and tendencies have been uncovered which suggest varying political and ideological skews that managed to influenced media reports in Poland, allowing for common support of the Ukrainian cause and what followed, a favourable reception of millions of Ukrainian refugees fleeing the country, to find shelter in Poland
Adaptation of a general circulation model to ocean dynamics

A new primitive-variable general circulation model of the ocean has been formulated in which fast external gravity waves are suppressed with rigid-lid surface constraint pressures which also provide a means for simulating the effects of large-scale free-surface topography. The surface pressure method is simpler to apply than the conventional stream function models, and the resulting model can be applied to both global ocean and limited region situations. Strengths and weaknesses of the model are also presented. SUMMARY A new primitive -variable general circulation model of the ocean has been developed in which fast external gravity waves may be suppressed with rigid-lid surface constraint pressures. The surface pressure filtering technique is easier to apply than the conventional stream function technique, and since the resulting model is derived in terms of primitive variables, it is conceptually simpler. From theoretical considerations, the model appears to be a candidate for limited region simulation, as well as simulation of global regions.
Determination of semi-arid landscape endmembers and seasonal trends using convex geometry spectral unmixing techniques

Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data were acquired during three consecutive growing seasons (26 September 1989, 22 March 1990, and 7 August 1990) over an area of the High Plains east of Greeley, Colorado (40 deg 20 min N and 104 deg 16 min W). A repeat visit to assess vegetation at its peak growth was flown on 6 June 1993. This region contains extensive eolian deposits in the form of stabilized dune complexes (small scale parabolic dunes superimposed on large scale longitudinal and parabolic dunes). Due to the dunes' large scale (2-10 km) and low relief (1-5 m), the scaling and morphological relationships that contribute to the evolution of this landscape are nearly impossible to understand without the use of remote sensing. Additionally, this area and regions similarly situated could be the first to experience the effects caused by global climate change. During the past 10,000 years there were at least four periods of extensive sand activity due to climate change, followed by periods of landscape stability, as shown in the stratigraphic record of this area.
Multi-goal Path Planning of Mobile Robot Based on Improved Particle Swarm Algorithm

Mobile robot multi-goal path planning is a new challenge in field of Robotics. In order to resolve the problem, a hybrid algorithm combining Guo Tao(GT) algorithm with particle swarm optimization (PSO) is proposed. The hybrid algorithm introduces the Inver-over operator and the clonal mechanism to PSO. The probability of the learning selection, the iterative threshold and the ratio of local optimal subgroup are used to keep the diversity of swarm. The data experiment demonstrates the performance of PSO is improved. In order to evaluate the practicability of GTPSO in path planning, the GTPSO is compared with IAPSO by pioneer3 robot, the experimental results show that GTPSO can plan a optimal route in different environment better than IAPSO. The trajectory is the shorter and the time consumption is fewest.
A High-Speed Unified Hardware Architecture for the AES and SHA-3 Candidate Grøstl

The NIST competition for developing the new cryptographic hash algorithm SHA-3 is currently in the third round. One of the five reminding candidates, namely Grøstl, is inspired by the Advanced Encryption Standard. This unique feature can be exploited in a large variety of practical solutions. In order to have a better picture of the Grøstl-AES computational efficiency (high-level scheduling, internal pipelining, resource sharing etc.), we designed a high-speed coprocessor for Grøstl-based HMAC and the AES in counter mode. It offers high-speed computations of both authentication and encryption with relatively small penalty in terms of area cost and speed reduction when compared to the authentication (original Grøstl circuitry) functionality only. From our perspective, the main advantage of Grøstl over other finalists is the fact the small overhead in its hardware architecture naturally accommodates the AES.
Genomic Characterization of an Emerging Enterobacteriaceae Species for the First Case of Human Infection in Cooperation with a Typical Pathogen

Opportunistic pathogens are important for clinical practice as they often cause antibiotic resistant infections. However, little is documented for many emerging opportunistic pathogens and their biological characteristics. Here, we isolated a novel species of extended-spectrum β-lactamase-producing Enterobacteriaceae from a patient of biliary tract infection. The isolate grows very slowly but confers strong protection for the co-infected cephalosporin-sensitive Klebsiella pneumonia. As the initial laboratory testing failed to identify the taxonomy of the strain, great perplexity was caused in the etiological diagnosis, and anti-infection treatment for the patient. Rigorous sequencing efforts achieved the complete genome sequence of the isolate which we designated as AF18. AF18 is phylogenetically close to a few strains respectively isolated from soil, clinical sewage, and patients, forming a novel species together, while the taxonomic nomenclature of which is still under discussion. And this is the �rst report of human infection of this novel species. As its relatives, AF18 harbors many genes related to cell mobility, various genes adaptive to both wild environment and animal host, tens of genetic mobile elements, and a plasmid bearing bla CTX-M-3 gene, indicating its ability to disseminate antimicrobial resistant genes from wild to patients. Transcriptome sequencing identi�ed two sRNAs that critically regulate the growth rate of AF18 which could serve as targets for novel antimicrobial strategies. These �ndings imply that AF18 and its species are not only infection-relevant but also potential disseminators in transferring antibiotic determinants, which highlights the need for continuous monitoring for this novel species and efforts to develop controlling strategies.
AN EXPONENTIAL-TYPE INTEGRATOR FOR THE KDV EQUATION by Martina Hofmanová

— We introduce an exponential-type time-integrator for the KdV equation and prove its first-order convergence in H for initial data in H without imposing any CFL condition. We consider the Korteweg-de Vries (KdV) equation (1) ∂tu(t, x) + ∂ 3 xu(t, x) + 1 2 ∂x(u(t, x)) 2 = 0, u(0, x) = u0(x), (t, x) ∈ R× T, where for practical implementation issues we impose periodic boundary conditions. For localwellposedness results of the periodic KdV equation in low regularity spaces we refer to [1, 5, 19]. In the context of the numerical time integration of (non)linear partial differential equations splitting methods as well as exponential integrators contribute attractive classes of integration methods. We refer to [7, 8, 9, 18] for an extensive overview, and in particular to [3, 4, 16] for the analysis of splitting methods for Schrödinger(-Poisson) equations. In recent years, splitting as well as exponential integration schemes (including Lawson type Runge-Kutta methods [15]) have also gained a lot of attention in the context of the numerical integration of the KdV equation, see for instance [10, 11, 12, 13, 14, 20] and the references therein. We also refer to [2] for a splitting approach for the Kadomtsev-Petviashvili equation. In particular, a distinguished convergence result was obtained in [11, 10]. In the latter it was proven that the Strang splitting, where the right-hand side of the KdV equation is split into the linear and Burgers part, respectively, is second-order convergent in Hr for initial data in Hr+5 for r ≥ 1 without imposing any CFL condition assuming that the Burgers part is solved exactly. Here we derive a first-order exponential-type time-integrator for the KdV equation (1) based on Duhamel’s formula (2) u(t) = e−∂ 3 xu0 + 1 2 ∫ t 0 e−∂ 3 x∂x(u(s)) ds
Semantic turkey: a browser-integrated environment for knowledge acquisition and management

Born four years ago as a Semantic Web extension for the web browser Firefox, Semantic Turkey pushed forward the traditional concept of links&folders-based bookmarking to a new dimension, allowing users to keep track of relevant information from visited web sites and to organize the collected content according to standard or personally defined ontologies. Today, the tool has broken the boundaries of its original intents and can be considered, under every aspect, an extensible platform for knowledge management and acquisition. The semantic bookmarking and annotation facilities of Semantic Turkey are now supporting just a part of a whole methodology where different actors, from domain experts to knowledge engineers, can cooperate in developing, building and populating ontologies while navigating the Web.
Palynological and organic geochemical characterization of marine and terrestrial Early Pleistocene climate in northwest Europe

5 Chapter 1: Introduction 7 1.1 Cenozoic climate evolution 7 1.2 Previous work 9 1.3 Proxies used for climate reconstruction 11 1.3.1 Palynology 11 1.3.2 Organic geochemistry 13 1.3.3 Oxygen and carbon isotopes 16 1.4 Hypotheses 16 Chapter 2: Geological setting 18 Chapter 3: Materials & Methods 23 3.1 Samples 23 3.2 Palynology 25 3.3 Organic geochemistry 25 3.3.1 Elemental analyses (TOC;C/N) 25 3.3.2 Sample processing (for biomarkers) 26 3.3.3 n-Alkane and Alkenone analyses (GC/GCMS) 28 3.3.4 GDGT analyses (HPLC-MS) 30 3.4 Oxygen and carbon isotopes 31 Chapter 4: Results 32 4.1 Palynology 32 4.2 Organic geochemistry 35 4.2. 1 Elemental analyses (TOC;C/N) 35 4.2. 2 Apolar fractions 36 4.2. 3 Ketone fractions 38 4.2. 4 Polar fractions 39 4.3 Oxygen and carbon isotopes 44 Chapter 5: Discussion 46 5.1 Drainage area 46 5.2 Terrestrial OM input and sea level variations 48 5.3 Marine climate 51 5.3.1 Palynology 51 5.3.2 Temperature reconstruction 52 5.4 Terrestrial climate 53 5.4.1 Palynology 53 5.4.2 Temperature reconstruction 54
A vision-based sensing system for sentient building models

: The quality and cost effectiveness of services in the building industry possess high potential for improvement. A possible approach to bringing out this potential is to conceive buildings as sentient entities that continuously adapt to changes in environment and occupancy. To achieve real-time building operation support and to avoid bottleneck situations resulting from manual model input and updating activities, the underlying model must possess the capability to autonomously update itself. This requires a versatile sensing mechanism that provides real-time facility state information. The research described in this paper aims to demonstrate the potential of vision-based sensing solutions to support the operations of sentient buildings. Toward this end, a system prototype has been implemented that focuses on building systems control (lighting). The resulting arrangement of required hardware and software components (tied together via internet) provides a flexible and self-adapting structure, which is highly suited to the requirements of control applications for sentient buildings.