Miracle-dz/UniFAR-FTUs huggingface dataset:
Resveratrol Nanoformulation Inhibits Invasive Breast Cancer Cell Growth through Autophagy Induction: An In Vitro Study

Objective: The aim of this study was to synthesize chitosan nanoparticles (Cs NPs) for resveratrol (RSV) delivery and assess their effectiveness in inducing autophagy in MDA-MB 231 cells. Materials and Methods: In this experimental study, Pure and RSV-loaded Cs NPs (RSV. Cs NPs) were prepared via the ionic gelation method, and their physicochemical properties were characterized using standard techniques, and RSV release was measured in vitro. MDA-MB 231 cells were incubated with RSV, Cs NPs, and RSV. Cs NPs and Half-maximal inhibitory concentration (IC50) values were calculated following the MTT test. Cell viability was assessed by lactate dehydrogenase (LDH) assay, and autophagy was evaluated using the real-time polymerase chain reaction (PCR). Results: NP formation was confirmed with the analysis of FTIR spectra. Pure and RSV. Cs NPs had 36.7 and 94.07 nm sizes with 18.3 and 27 mV zeta potentials, respectively. Above 60% of RSV entrapped within NPs was released in an initial burst manner followed by a gradual release till 72 hours. Cs and RSV. Cs NPs restrained cell proliferation at lower concentrations. RSV. Cs NPs showed the highest anticancer effect and stimulated autophagy, indicated by increased Beclin-1 ATG5, ATG7, LC3A, and P62 expression. Conclusion: RSV. Cs NPs show promising effects in inhibiting invasive breast cancer (BC) cells in vitro by inducing autophagy.
IFRS - 6 - Exploration for and Evaluation of Mineral Resources

Ovim se MSFI-em određuju racunovodstveni postupak u podrucju priznavanja i vrednovanja ulaganja u istraživanje i procjenu mineralnih resursa. Njegove se odredbe pocinju primjenjivati nakon sto je poduzece koje istražuje i procjenjuje vrijednost mineralnih resursa ostvarilo zakonsko pravo eksploatacije određenog podrucja i do trenutka izrade studije o eksploataciji s tehnickom i komerciajalnom isplativosti. Standardom su predviđene dvije razlicite mogucnosti racunovodstvenog iskazivanja troskova istraživanja i procjene mineralnog i rudnog bogatstva, i to kapitalizacija svih troskova i aktivnosti istraživana i procjene ili iskazivanje svih troskova na teret prihoda razdoblja. Kapitalizirani troskovi istraživanja i procjene dio su imovine poduzeca ako se procjenjuje da ce ulaganja u ove aktivnosti rezultirati buducim ekonomskim koristima. Stovise, po zavrsetku faze istraživanja i procjene mineralnog i rudnog bogatstva, a prije reklasifikacije ove imovine kao materijalne ili nematerijalne, poduzece mora provesti test nadoknadivosti, odnosno test umanjenja vrijednosti kojim ce se utvrditi vrijednost koja se reklasificira. U radu su detaljno prikazane skupine troskova aktivnosti istraživanja i procjene te nacin njihovog racunovodstvenog iskazivanja.
Water treatment: saltwater as a source.

Introduction: Currently, 783 million people lack access to clean drinking water. Causes for this include location, as 85% of the world’s inhabitants live in the driest half of the planet (Facts, 2013), and non-sustainable water use, which depletes groundwater reserves too quickly for regeneration (Wada and Bierkens, 2014). Many treatment facilities in the developed world apply chemicals to water supplies, increasing environmental stress and preventing implementation in non-industrialized areas (Shannon, 2008). This paper discusses water treatment technology, a hybrid system that incorporates the biology of untreated water, containing microorganisms, chemicals, organic matter, and other particles, and the technology of treatment, including reverse osmosis membranes, biodesalination, ultraviolet radiation, and nanostructures, which have merged to produce clean, fresh water from the water sources in our environment. This merger includes the transformation of the biology of the water source as well as the actual placement of water treatment systems in the environment. Water treatment is irreversible because once water is treated a new product is created and the water cannot revert to its original composition. In addition, once treatment systems are placed in the environment they will not be removed, as the need for water is constant and growing.
Histology and immunofluorescent study of the pancreas in lovebird (Agapornis personatus)

Abstract Background Lovebird (Agapornis personatus) is a monotypic species of bird of the lovebird genus in the parrot family Psittaculidae and order Psittaciformes. Objectives The present study was designed to investigate the histology and immunohistochemistry of the pancreas in the lovebird. Methods Totally, three adult birds were used. The pancreas was assessed using histological and immunofluorescent staining to detect insulin, glucagon, somatostatin, pancreatic polypeptide (PP) and neuropeptide Y (NY). Results The exocrine pancreas was composed of pyramidal acinar cells with zymogen granules at the apical cytoplasm. The endocrine pancreas was identified as large alpha, small beta and mixed islets of Langerhans. No intercalated duct was observed. Alpha cells with a density of 28.55% were the most numerous cell type, which were populated throughout the large islets, especially at the periphery. The beta cells with a density of 15.78% were accumulated mostly at the periphery of islets. The delta cells exhibited 17.81% intensity. Despite their lower density, the distribution of delta cells was like that of A cells throughout the islets. PP and NY cells were distinguished with densities of 14.69% and 20.63%, respectively. Conclusions Although the arrangement of acinar cells, ductal systems and endocrine islets reflects patterns observed in various avian species, the absence of intercalated duct, the presence of three types of Langerhans islets as alpha, beta and mixed islets and the high expression of NY in the islets were some unique features observed in the current study. These findings contribute to the broader understanding of avian pancreas histology.
Iron status in a representative sample of US pregnant women is not associated with pre-pregnancy BMI: results from the NHANES (1999-2010) study

Iron deficiency in pregnancy is related to many poor health outcomes, including anemia and low birth weight. A small number of previous studies have identified maternal body mass index (BMI) as potential risk factors for poor iron status. Our objective was to examine the association between pre-pregnancy BMI and iron status in a nationally representative sample of US adult women. We used data from the National Health and Nutrition Examination Survey (NHANES; 1999-2010) for pregnant women ages 18-49 years (n=1156). BMI (kg/m2) was calculated using pre-pregnancy weight (self-reported) and height (measured at examination). Iron deficiency (ID) was defined as total body iron (calculated from serum ferritin and transferrin receptor using Cooks equation) < 0 mg/kg and anemia as hemoglobin < 11 g/dL. Associations were examined using weighted Poisson regression models, adjusted for confounders (age, race/ethnicity, education, family income, and trimester). Approximately 14% of pregnant women had ID and 8% had anemia in this sample. There were no differences in the prevalence of ID or anemia in women with pre-pregnancy overweight and obesity (ID: overweight, adjusted prevalence ratio (PR)=1.28, 95%CI: 0.89-1.83; obesity, PR=0.75, 95%CI: 0.39-1.45; anemia: overweight, PR=1.08, 95%CI: 0.53-2.19; obesity, PR=0.99, 95%CI: 0.49-2.01) compared to women with a normal BMI. Findings from these US nationally representative data indicate that iron status in pregnancy does not differ by pre-pregnancy BMI. Since iron deficiency during pregnancy remains a significant public health concern, NHANES should consider measuring current iron status in upcoming cycles.
Assessment of mercury uptake routes at the soil-plant-atmosphere interface

Mercury is easily transformed from the elemental state or numerous other mercury compounds to its gaseous form. The gaseous mercury species remain in the atmosphere for sufficient time to be carried long distances. In many cases, some of these differences produce a bias in experimental research, especially for the understanding of the soil-plant-atmosphere system in polluted sites. The main controversy concerns the preferential uptake route in plants and whether the process is reversible or not. The aims of the work described here were to acquire a better knowledge of the transfer routes in the soil-plant-atmosphere system and to ascertain whether plant mercury uptake is reversible. Factors such as the presence of mercury in the atmosphere and irrigation water were evaluated using two common species in Castilla-La Mancha: vines (Vitis vinifera, L.) and olive trees (Olea europea, L.). The results provide evidence of three important aspects: plant mercury uptake via roots does occur but it seems minor; plant mercury uptake from the atmosphere involves a continuous exchange at the leaf-atmosphere interface; and plant mercury bioaccumulation seems to be a reversible process. These findings have implications for the use of plants as biomonitors by restricting the exposure times, and in phytoremediation, particularly for polluted soils.
Etude de paliers hydrodynamiques présentant de fortes discontinuités géométriques

During various maintenance operations in power plants, some new issues have come to light. One of these issues is the degradation of the supporting and guiding components for the rotating shafts. The degradation has resulted in scratches on bearings which led to discontinuities of the oil film. The operator of the plant should provide a fast diagnosis of the influence of these scratches. However, there are some weakness in the software used: relating to its robustness, its performance and the nonconservation of the flow rate. The aim of the work done in this thesis is to examine these issues and propose solutions. The objectives are a better understanding of the physics of the phenomenon and the improvement of the performance and robustness by using adapted numerical methods. Mots clefs : Lubrification hydrodynamique, paliers, cavitation, discontinuités géométriques 22 ème Congrès Français de Mécanique Lyon, 24 au 28 Août 2015
Social Network Analysis with Digital Behavioral Data

Our uses of digital technologies like social media platforms or email leave massive amounts of behavioral traces that are most interesting for social research. Other digital technologies like cell phones allow harnessing behavioral traces for research purposes. Such Digital Behavioral Data consists of genuinely relational records which can be thought of in terms of networks. However, this kind of data requires a shift of perspective from individuals to micro events (e
Intercomparison of Precipitation Estimates over the Arctic Ocean and Its Peripheral Seas from Reanalyses

Precipitation over the Arctic Ocean has a significant impact on the basin-scale freshwater and energy budgets but is one of the most poorly constrained variables in atmospheric reanalyses. Precipitation controls the snow cover on sea ice, which impedes the exchange of energy between the ocean and atmosphere, inhibiting sea ice growth. Thus, accurate precipitation amounts are needed to inform sea ice modeling, especially for the production of thickness estimates from satellite altimetry freeboard data. However, obtaining a quantitative estimate of the precipitation distribution in the Arctic is notoriously difficult because of a number of factors, including a lack of reliable, long-term in situ observations; difficulties in remote sensing over sea ice; and model biases in temperature and moisture fields and associated uncertainty of modeled cloud microphysical processes in the polar regions. Here, we compare precipitation estimates over the Arctic Ocean from eight widely used atmospheric reanalyses over the period 2000–16 (nominally the “new Arctic”). We find that the magnitude, frequency, and phase of precipitation vary drastically, although interannual variability is similar. Reanalysis-derived precipitation does not increase with time as expected; however, an increasing trend of higher fractions of liquid precipitation (rainfall) is found. When compared with drifting ice mass balance buoys, three reanalyses (ERA-Interim, MERRA, and NCEP R2) produce realistic magnitudes and temporal agreement with observed precipitation events, while two products [MERRA, version 2 (MERRA-2), and CFSR] show large, implausible magnitudes in precipitation events. All the reanalyses tend to produce overly frequent Arctic precipitation. Future work needs to be undertaken to determine the specific factors in reanalyses that contribute to these discrepancies in the new Arctic.
The unfolding of textileness in animated textiles: An exploration The unfolding of textileness in animated textiles: An exploration of woven textile-forms of woven textile-forms

: Designers of textile-based interactive systems tend to treat woven fabrics as static materials and lack deeper understandings of how the textile can be designed for responsive behaviours in artefacts. As a result, in most studies across design and HCI, textiles are employed as substrates for computational, biological, or smart materials. This narrow view limits the potential of textiles that can be programmed to express responsive behaviour through their inherent material qualities. Our paper aims at bridging this gap in the design of animated textile artefacts. We present woven textile-forms where textile structures are programmed to tune the behaviour of low-melt pol-yester yarn that shrinks when heat is applied, resulting in complex topological and textural woven forms that can change over time. Foregrounding woven-forms as a medium for animated textiles, our work calls for design and HCI researchers to pay attention to textileness for prolonged relationships between users and animated textile artefacts while eliminating waste from production and end of life.
Resource Allocation for Sum-Rate Maximization in Multi-UAV SCMA Networks

This work investigates a sparse code multiple access (SCMA) assisted multiple unmanned aerial vehicles (UAVs) downlink communication network for improved data services to multiple ground users. Our objective is to maximize the sum-rate of the multi-UAV SCMA network by optimizing the SCMA factor graph matrix used for resource allocation, considering the inter-UAV and intra-UAV interference components. The formulated problem is non-convex in nature and is subject to the SCMA code-book constraints. We propose a factor graph matrix assignment algorithm to solve this optimization problem. Our simulation results demonstrate the superiority of the proposed scheme in terms of rate performance over the benchmark schemes. Thus, compared with orthogonal multiple access strategies, SCMA emerge as a promising candidate for next generation multiple access (NGMA) techniques.
PROBLEMS OF DIGITIZATION AND USE OF DIGITIZED WORKS BY MUSEUMS FROM THE POSITION OF GERMAN AND UKRAINIAN COPYRIGHT LAW

Results. The comparative analysis of the doctrine and practice of Ukraine and Germany has led to the conclusion that “origi-nality” is a condition for the protection of works under copyright, according to which it di ﬀ ers from other works and is endowed with such features as uniqueness, obscurity, and inimitability. The authors have studied the factors that determine the originality of photographic work: one’s creative contribution; it does neither repeats any already known photographic work nor is a copy of other photographic work; contains a unique composition, angle, method of ﬁ xation, etc. Conclusions. The critical analysis of museum activities has made it possible to identify opportunities for reproducing (digitizing) works of art, providing digital services (free and paid) for access to digitized works, and restrictions (copyright compliance) that arise in museum activities in communication with authors of works of art.
Traditional bullying and cyberbullying at schools in Germany: Results of the HBSC study 2022 and trends from 2009/10 to 2022

Background Bullying is a form of violence that is carried out repeatedly, with the intention of causing harm and with an imbalance of power between those involved. Bullying has serious negative effects on the mental health of adolescents and thus represents a significant health risk in childhood and adolescence. Methods Based on data from the Health Behaviour in School-aged Children (HBSC) study from the survey year 2022 in Germany (N = 6,475), the prevalence of school bullying and cyberbullying among 11-, 13- and 15-year-olds in Germany was analysed. In addition, the prevalence of school bullying and cyberbullying was analysed as a trend from 2009/10 to 2022 (bullying) and from 2017/18 to 2022 (cyberbullying). Results Around 14 % of the learners surveyed reported direct experience of bullying at school, and around 7 % reported cyberbullying experiences as bullied and/or bullying victims. Adolescents who identified as gender diverse were particularly likely to report bullying experiences. School bullying decreased over time, but remained stable between 2017/18 and 2022. Cyberbullying, on the other hand, increased in 2022 compared to 2017/18. Conclusions Experiencing bullying at school and online is an everyday experience for many children and young people, so there is still a need for the broad implementation of effective anti-bullying measures in schools.
The DISCOVERY Initiative - Overcoming Major Limitations of Traditional Server-Centric Clouds by Operating Massively Distributed IaaS Facilities

: Instead of the current trend consisting of building larger and larger data centers (DCs) in few strategic locations, the DISCOVERY initiative ‡ proposes to leverage any network point of presences (PoP, i.e. , a small or medium-sized network center) available through the Internet. The key idea is to demonstrate a widely distributed Cloud platform that can better match the geographical dispersal of users. This involves radical changes in the way resources are managed, but leveraging computing resources around the end-users will enable to deliver a new generation of highly eﬃcient and sustainable Utility Computing (UC) platforms, thus providing a strong alternative to the actual Cloud model based on mega DCs (i.e. DCs composed of tens of thousands resources). Critical to the emergence of such distributed Cloud platforms is the availability of appropriate operating mechanisms. Although, some of protagonists of Cloud federations would argue that it might be possible to federate a signiﬁcant number of micro-Clouds hosted on each PoP, we emphasize that federated approaches aim at delivering a brokering service in charge of interacting with several Cloud management systems, each of them being already deployed and operated independently by at least one administrator. In other words, current federated approaches do not target to operate, remotely, a signiﬁcant amount of UC resources geographically distributed but only to use them. The main objective of DISCOVERY is to design, implement, demonstrate and promote a uniﬁed system in charge of turning a complex, extremely large-scale and widely distributed infrastructure into a collection of abstracted computing resources which is eﬃcient, reliable, secure and friendly to operate and use. After presenting the DISCOVERY vision, we explain the diﬀerent choices we made, in particular the choice of revising the OpenStack solution leveraging P2P mechanisms. We believe that such a strategy is promising considering the architecture complexity of such systems and the velocity of open-source initiatives.
Independent sets in Hasse diagrams

In this article, we survey bounds on the minimum independence number of Hasse diagrams of partially ordered sets on n elements. Following recent progress on this question, we discuss three constructions that yield O ( n logloglog n log n ) , O ( n log n ) , and O ( n 3 / 4 ) upper bounds. We discuss another interesting construction that yields at least a o ( n ) bound as well that may be of independent interest due to its connections to additive combinatorics. Lastly, we also discuss bounds on the special case of dimension 2 posets, giving the proof of the best known upper bound
Toward Reliable Robot Navigation Using Deep Reinforcement Learning

Reliable indoor navigation in the presence of dynamic obstacles is an essential capability for mobile robot deployment. Previous work on robot navigation focuses on expanding the network structure and hardware setup leading to more complex and costly systems. The accompanying physical demonstrations are often limited to slow-moving agents and simplistic obstacle configurations. In this thesis, we develop an end-to-end navigation system with a focus on real-world transferability and produce a low-cost and customizable robot platform. Instead of expanding the network structure, we rely on external capabilities such as backward motion, frame stacking, and behavioral reward design to improve performance while preserving transferability. By convention, these methods have been largely disregarded in previous works on deep reinforcement learning (DRL) for unmanned ground vehicle (UGV) navigation. We analyze the effect on performance in simulation of different off-policy algorithms with hyperparameter and reward function configurations. Experimental results show that our agent can achieve state-of-the-art performance in challenging and unseen simulated environments. In addition, physical robot demonstrations show that our system is capable of dealing with fast-moving and unpredictable agents in a real-world environment.
Capacitive frost depth indicator

The depth of soil freezing, i.e., the depth at which water is frozen, is a significant factor in meteorology, as it affects many processes in agriculture, building, etc. Soil frost penetration is an important factor for overwintering organisms, but also for physical and chemical processes in soil, particularly for its mechanical properties. The depth of freezing is normally determined directly, i.e. mechanically, using a special soil freezing meter, i.e., frost-depth indicator, according to the process of water freezing in the probe. Another method lies in determining the soil temperature by the interpolation of the curves from the graph, as measured by soil thermometers according to the change in the resistivity of soil or water, when frozen. The principle of the frost-depth indicator function is to evaluate the temperature dependence of water permittivity, which decreases, when water is frozen, from r ~ 87 at 1 r ~ 3.2 at -1 typical for ice. The water permittivity is evaluated by a measuring capacitor, which is adapted into the shape of the frost depth indicator probe, whose dielectric is deionized water. During freezing, the capacity is reduced in this area. The capacity of the partially frozen probe is directly proportional to the length of its non-frozen section. The measuring capacitor is a part of the resonant circuit of the oscillator. The frequency of the oscillator varies with the capacity of the probe and is further evaluated. The achievable measurement accuracy is approximately 2% for the probe of a 1m length and in direct evaluation by an autonomous counter. For the computer evaluation, with the possibility to compensate the probe non-linearity, the measurement accuracy is approximately 0.5%.