SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Association between dietary intake of n-3 polyunsaturated fatty acids and severity of skin photoaging in a middle-aged Caucasian population

<h2>Abstract</h2><h3>Background</h3> Intake of long-chain n-3 polyunsaturated fatty acid (PUFAs) supplementation has been reported to be associated with reduced UVB-erythemal sensitivity, but their relationship to photoaging has not been studied to date. <h3>Objective</h3> To investigate associations between daily n-3 PUFA intake and the severity of skin photoaging. <h3>Methods</h3> A cross-sectional study was conducted on 2919 subjects aged 45–60 years from the SU.VI.MAX cohort. At baseline, trained investigators graded the severity of facial skin photoaging using a validated 6-grade scale during a clinical examination. Intake of α-linolenic (ALA), eicosapentaenoic (EPA), docosapentaenoic (DPA), and docosahexaenoic acids (DHA) were evaluated by dietary source using ten 24-h dietary record questionnaires during the first 2.5 years of the follow-up period. <h3>Results</h3> After adjustment for possible confounders, severe photoaging was found to be inversely associated with higher intake of ALA in men and with higher intake of EPA in women. When considering the different food sources of ALA for men, an inverse association appeared between severe photoaging and ALA from vegetable oils, as well as with ALA from fruit and vegetables, whereas no association was observed for ALA from dairy products. In women, ALA from vegetable oils also tended to be inversely linked to photoaging. <h3>Conclusions</h3> These findings suggest a possible benefit effect of n-3 PUFAs on skin aging. Nonetheless, further epidemiological studies are necessary to confirm our results and to gain additional insights into underlying mechanisms.
On Deriving Adaptation Rule Confidence from the Rule Generation Process

Previous case-based reasoning research makes a compelling case for the importance of CBR systems determining the system’s confidence in its conclusions, and has developed useful analyses of how characteristics of individual cases and the case base as a whole influence confidence. This paper argues that in systems which perform case adaptation, an important additional indicator for solution confidence is confidence in the adaptations performed. Assessing confidence of adaptation rules may be particularly important when knowledge-light methods are applied to generate adaptations automatically from the case base, giving the opportunity to improve performance by astute rule selection. The paper proposes a new method for calculating rule confidence for automatically-generated adaptation rules for regression tasks, when the rules are generated by the common “difference heuristic” method of comparing pairs of cases in a case base, and a method for confidence-influenced selection of cases to adapt. The method is evaluated in four domains, showing performance gains over baseline methods and case based regression without using confidence knowledge.
A POWER CONVERTER WITH HOLD UP

A power converter providing required hold up for a primary converter, particularly a cycloconverter, without the required hold up capacity by an auxiliary converter including storage capacitors having the requisite capacity. The auxiliary converter may be isolated from the primary converter during normal operation and switched in during power supply discontinuities, The storage capacitors may be charged via a voltage step up circuit to achieve improved charge utilization. The storage capacitors may be charged via a charge path independent of the auxiliary converter output path so that the storage capacitor charging rate may be set independently.
Nonlinear Patterns in Urban Crime: Hotspots, Bifurcations, and Suppression

We present a weakly nonlinear analysis of our recently developed model for the formation of crime patterns. Using a perturbative approach, we find amplitude equations that govern the development of crime “hotspot” patterns in our system in both the one-dimensional (1D) and two-dimensional (2D) cases. In addition to the supercritical spots already shown to exist in our previous work, we prove here the existence of subcritical hotspots that arise via subcritical pitchfork bifurcations or transcritical bifurcations, depending on the geometry. We present numerical results that both validate our analytical findings and confirm the existence of these subcritical hotspots as stable states. Finally, we examine the differences between these two types of hotspots with regard to attempted hotspot suppression, referencing the varying levels of success such attempts have had in real world scenarios.
LEVEL-SHIFTER FOR EXTREMELY LOW POWER SUPPLY

An improved level shifter circuit is provided which is designed for use with an extremely low power supply voltage. The level shifter circuit includes a fourth NMOS transistor (N102), a third PMOS transistor (P103), and a fifth NMOS transistor (N103) connected in series and interconnected between the high voltage and the output terminal. As a result, the high voltage will still be passed to the output terminal when the high voltage is lowered to be equal to the low power supply voltage.
Thermal and thermo-mechanical influence on crack propagation using an extended mesh free method

In this paper, the eXtended Element Free Galerkin method (XEFG) is used to model the crack growth in elastic materials. The effect of thermo-mechanical loading on the crack growth is investigated. The partition of unity principle is introduced to enhance the accuracy and to better simulate the crack growth. In order to get the direction of the crack growth, first the Stress Intensity Factors (SIF) are calculated using the interaction energy integral, then the crack is assumed to propagate in the direction of the maximum principal stress. The different steps of the mesh free method implementation from the governing equations to the discretized system of linear equations are recalled. The method is validated by calculating the stress intensity factors for static cracks and to comparing them those found in the literature. Further, the capability of the mesh free method for predicting crack growth under thermo-mechanical loading is demonstrated by comparing the obtained paths with others results from the literature. The implemented method presents a good efficiency and accuracy with relatively sparse node distributions.
Words needed for sharing a story: Implications for vocabulary selection in augmentative and alternative communication

This study examined the narrative vocabulary of typically developing children for the purpose of guiding vocabulary selection for children with complex communication needs.Eight children in their first year of schooling (aged 5 years 0 months to 5 years 8 months) and 10 children in their second year of schooling (aged 6 years 0 months to 7 years 2 months) generated story retell, personal, and script narratives. These were analysed using the Child Language Analysis (MacWhinney, 2008 ) program.Several words occurred with high frequency across all tasks. Other words were more specific to particular tasks and topics. In the story-retelling task, the majority of the unique words used were from the original story. However, of the total words available in the original story, only a small proportion was used.Some of the high frequency words overlapped with those included in existing wordlists. However, other words were unique to this study. The wordlists generated will provide a useful resource that can be used alongside existing wordlists to guide decision making around vocabulary selection for children with complex communication needs.
In Brief: Clarifying the Concept of “Partnership” in National Security

Over the last few years, the term partnership has spread like wildfire through official U.S. national security guidance documents and rhetoric. At the Department of Defense (DOD), which spearheaded the proliferation of the term, partnership has been used to refer to a broad array of civilian as well as military activities in support of national security.1 At other U.S. government agencies, and at the White House, the use of the term partnership has been echoed and applied even more broadly-not only in the national security arena, but also to all facets of U.S. relationships with foreign partners. Partnership is not new in either theory or practice. A lack of sufficient strategic direction regarding the use of the term could raise a series of potential concerns for Congress.
Precise instrument metering system

Flexbimec is a global hydraulics manufacturing company with 28 dedicated employees, 9.5M€ turnover, 2,500 strong customer base and 40 years’ experience providing Measuring Instruments (MI) for fluid metering and dispensing devices. We built a brand new line of fluids metering and dispensing equipment conforming to a mandatory MI directive aimed at the Automotive segment focusing on fluid management systems. Typical problems included increased fluid consumption and the inability to detect and trace the flow of fluid, leading to problems with fluid measurement, machine maintenance, leaking fluid and poor working environments. We increased sales by 60% and consolidated our foothold internationally. 
Our next product generation will boost EU sales, while appealing to a very large audience globally: PRIMESYST extends our original concept through refinement of the core components and integration of sensors and software–enabled data collection system to control and manage the flow of lubricant into any industrial activity. Data can be logged, analysed and displayed using specialised software which has been built upon an existing simulated application. 
New target sectors are Industrial Equipment, Mining and any other sector where fluid management systems or machines exist. End-users benefit with 50% cost savings, 75% timing reductions, access to unique data and supreme performance levels. Tidier and less polluted workplaces will result from increased visibility to maintain fluid handling machines. We foresee a 30% decrease in fraudulent activity when measuring fluids and all key directives conformed to. We will secure a 35% share of the EU Fluid Management Systems market and 70% for the Italian market by 2025, plus global sales increase by 23%. In 4 years, we expect our Return on Investment to be 1.48 per Euro invested in the Project. We expect to increase headcount by 30 and reach a €11.4 million in profit.
Support for maintaining the company “Dj Filip Kubica”

As a result of the COVID-19 pandemic, my company was unable to carry out business activities consisting of organising various events for groups and occasional events including weddings, banquets, proms, etc. as Dj. This resulted in a total decrease in revenue at the same time as costs related to renting the premises, maintaining licences and operating fees.
MAGNETIC PARTICLE AND METHOD

A magnetic particle (30, 70) has a layered structure (6, 56) between a top surface of the particle and an opposed bottom surface of the particle. Layers of the structure include one or more nonmagnetic layer(s) and one or more magnetized layer(s). The ratio of a lateral dimension of the one or more magnetized layers to the aggregate thickness of the magnetized layer or layers is greater than 500. A plurality of such magnetic particles (30, 70) can be functionalised and marked with readable codes (16, 66) corresponding to the functionalisation, for use for performing assays such as bioassays.
Statistical Dimensioning of Nutrient Loading Reduction: LLR Assessment Tool for Lake Managers

Implementation of the EU Water Framework Directive (WFD) has set a great challenge on river basin management planning. Assessing the water quality of lakes and coastal waters as well as setting the accepted nutrient loading levels requires appropriate decision supporting tools and models. Uncertainty that is inevitably related to the assessment results and rises from several sources calls for more precise quantification and consideration. In this study, we present a modeling tool, called lake load response (LLR), which can be used for statistical dimensioning of the nutrient loading reduction. LLR calculates the reduction that is needed to achieve good ecological status in a lake in terms of total nutrients and chlorophyll a (chl-a) concentration. We show that by combining an empirical nutrient retention model with a hierarchical chl-a model, the national lake monitoring data can be used more efficiently for predictions to a single lake. To estimate the uncertainties, we separate the residual variability and the parameter uncertainty of the modeling results with the probabilistic Bayesian modeling framework. LLR has been developed to answer the urgent need for fast and simple assessment methods, especially when implementing WFD at such an extensive scale as in Finland. With a case study for an eutrophic Finnish lake, we demonstrate how the model can be utilized to set the target loadings and to see how the uncertainties are quantified and how they are accumulating within the modeling chain.
Automated audio assembly performance assessment

A computing device includes: a memory storing an audio sequence and a reference attribute associated with playback of the audio sequence; a speaker; a microphone; an audio enclosure supporting the speaker and the microphone; a processor configured to: simultaneously (i) control the speaker to play the audio sequence, and (ii) control the microphone to capture a test recording corresponding to playback of the audio sequence; based on a comparison of the reference attribute to a test attribute associated with the test recording, detect occlusion of the audio enclosure; and in response to detecting occlusion of the audio enclosure, generate a notification message.
METHODS AND REAGENTS FOR PREPARING MULTIFUNCTIONAL PROBES

Multifunctional probes are synthesized in a single step using peptide scaffold-based multifunctional single-attachment-point reagents. To obtain multifunctional probes using the methods of the invention, a substrate (e.g., a nanoparticle, polymer, antibody, protein, low molecular weight compound, drug, etc.) is reacted with a multifunctional single-attachment-point (MSAP) reagent. The MSAP reagents can include three components: (i) a peptide scaffold, (ii) a single chemically reactive group on the peptide scaffold for reaction of the MSAP with a substrate having a complementary reactive group, and (iii) multiple functional groups on the peptide scaffold. The peptide scaffold can include any number of residues; however, for ease of synthesis and reproducibility in clinical trials, it is preferred to limit the residues in the peptide to 20 or less. The reagent can be prepared to yield a predetermined stoichiometric ratio of the functional groups on the scaffold such that the probe has a fixed stoichiometric ratio of the functional groups.
PREASC

The increasing functionality of electronic systems due to the constant evolution of the market requirements makes the non-functional aspects of such systems (e.g., energy consumption, area overhead, or performance) a major concern in the design process. Approximate computing is a promising way to optimize these criteria by trading accuracy within acceptable limits. Since the cost of applying significant structural changes to a given design increases with the stage of development, the optimization solution needs to be incorporated into the design as early as possible. For the early design entry, modeling hardware at the Electronic System Level (ESL) using the SystemC language is nowadays widely used in the industry. To apply approximation techniques to optimize a given SystemC design, designers need to know which parts of the design can be approximated. However, identifying these parts is a crucial and non-trivial starting point of approximate computing, as the incorrect detection of even one critical part as resilient may result in an unacceptable output. This usually requires a significant programming effort by designers, especially when exploring the design space manually. In this article, we present PREASC, a fully automated framework to identify the resilience portions of a given SystemC design. PREASC is based on a combination of static and dynamic analysis methods along with regression analysis techniques (a fast machine learning method providing an accurate function estimation). Once the resilient portions are identified, an approximation degree analysis is performed to determine the maximum error rate that each resilient portion can tolerate. Subsequently, the maximum number of resilient portions that can be approximated at the same time are reported to designers at different granularity levels. The effectiveness of our approach is evaluated using several standard SystemC benchmarks from various domains.
Environmental Problems and Strategies Caused by Coal Mining

The environmental problems about destruction and pollution of water resource, destruction and occupation of land resource, and air pollution in coal mining was described. Green mining technology in terms of the solution in environmental problems caused by coal mining was introduced. The main content of green mining includes reduction of rock waste, simultaneous extraction of coal and coal-bed methane, water-preservation in mining areas, coal mining to retard surface subsidence, and underground coal gasification. Green mining harmonizing with resources and environment is the fundamental method to solve environmental problems caused by coal mining. In order to develop green mining technology, the economic evaluation of green mining and the establishment of relevant laws need to be further strengthened.
Standards for Documenting Finite‐Fault Earthquake Rupture Models

In this article, we propose standards for documenting and disseminating finite‐fault earthquake rupture models, and related data and metadata. A comprehensive documentation of the rupture models, a detailed description of the data processing steps, and facilitating the access to the actual data that went into the earthquake source inversion are required to promote follow‐up research and to ensure interoperability, transparency, and reproducibility of the published slip‐inversion solutions. We suggest a formatting scheme that describes the kinematic rupture process in an unambiguous way to support subsequent research. We also provide guidelines on how to document the data, metadata, and data processing. The proposed standards and formats represent a first step to establishing best practices for comprehensively documenting input and output of finite‐fault earthquake source studies.
Adolescents’ education transitions: multiple insights into the process dynamics of goal-construction and youth actions over time

The literature recognizes (1) that to date little is known about how individuals change and where differences between them come from; (2) the need to deepen our understanding and ability to intervene in the manifest, social and subjective processes occurring during adolescence. This requires the adoption of more radical approaches to the study of development allowing the field to move beyond its current emphasis on individual processes and ease in the adoption of a more holistic, dynamic understanding of how young people build meaning across time and in certain contexts. It is the aim of our research to bring together 3 perspectives (developmental life span psychology, dynamic systems approach, contextual action theory) allowing complementary insights into the process dynamics of goal-construction and youth actions over time during adolescence. The specific domains of observation will be peer relationships and youth education transitions from early to late adolescence and young adulthood in Finland.
The achievement of the work package objectives will entail (1) learning by research and hands-on training activities, (2) involvement with the research and financial planning of the study, (3) me expanding my network of collaborations. The project will help me improve my career prospects and employability, thus to progress from the early career stage to a consolidated position in a competitive academic institution. It will also help me assert myself as an expert (1) on the theoretical and methodological approaches informing the research project, (2) on adolescents’ education transitions and related interventions.
We will (1) derive implications for future research, intervention and policy, (2) disseminate and communicate our findings as widely as possible to effectively transfer the knowledge acquired with the project to other researchers, sectors and disciplines (e.g., through scholarly publications, media briefs, workshops, seminars/meetings with community members).
Impact of digital leadership capability on innovation performance: The role of platform digitization capability

Following a mixed-methods approach, we theorized that digital leadership influences innovation performance by digitalizing the firm's platform. A multiple case study of ten companies was deployed to derive a theoretical model relating digital leadership and innovation performance. The resulting model was empirically tested on a sample of 117 European firms. We find that digital leadership improves a firm's innovation performance by digitalizing the firm's platform. We contribute to IS research by theoretically developing the concepts of digital leadership capability and platform digitization capability and empirically analyzing the relationship of these two critical IT capabilities and their impact on innovation performance.
APPARATUS FOR FILLING DRINK CONTAINERS

An apparatus for filling a drink comprising a drink supply pipe line for supplying a drink to a filling machine (2), the drink supply pipe line comprising at least two supply pipe lines of a first supply pipe line (5) for supplying a non-sterilized carbonated drink, a second supply pipe line (6) for supplying a high acidic carbonated drink or a low acidic carbonated drink and a third supply pipe line (7) for supplying a high acid beverage or a low acid beverage and an aseptic chamber (3) surrounding at least the apparatus for filling the drink.
In-Situ polyurethane resins

Objective of the INSPUR project is to bring to the market a fully sustainable and solvent-less manufacturing process for the polyurethane direct and transfer coating of fabrics, knits, nonwovens or other substrates. INSPUR technology is based on an innovative bi-component resin formulation, which permits to avoid the use of solvents, or other toxic compounds, further improving the flexibility and reducing of 30% the energy consumption of coating manufacturing processes.
INSPUR made products show remarkable improvement in terms of resistance, durability, mechanical performances, washing resistance allowing their utilization for high-end sports and technical applications, fashions and upholsteries. The Belgium Company VETEX, specialized in the manufacturing of high performances technical textiles, will provide the necessary case studies to validate the INSPUR technology in a real manufacturing environment by assessing the most suitable process migration strategies, the industrial performances and the technical capabilities of INSPUR. VETEX will further issue an earlier-adopter business case to evaluate the market uptake potential and to collect user feedbacks for INSPUR market validation. The overall European Technical textile sector will benefit by the completion of the project and by its large-scale uptake reducing the dependence from third countries, and avoiding the utilization of toxic chemicals for large consumer products.