SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
PREMIXED CHARGE COMPRESSION IGNITION ENGINE WITH OPTIMAL COMBUSTION CONTROL

A premixed-charge compression-ignition engine, and a control system (10), is provided which effectively initiates combustion by compression-ignition and maintains stable combustion while achieving extremely low nitrous-oxide emissions, good overall efficiency and acceptable combustion noise and cylinder pressures. The present engine and control system (10) effectively controls the combustion history, that is, the time at which combustion occurs, the rate of combustion, the duration of combustion and/or the completeness of combustion by controlling the operation of certain control variables providing temperature control, pressure control, control of the mixture's auto-ignition properties and equivalence ratio control. The combustion control system (10) provides active feedback control of the combustion event and includes a sensor (16) for detecting an engine operating condition indicative of the combustion history, e.g. the start of combustion, and generating an associated engine operating condition signal (18).
DRILLING MOTOR WITH ONE-WAY ROTARY CLUTCH

A drilling motor assembly can include a housing, a shaft, and a pawl which selectively engages a recess, the pawl having an axis of rotation and a generally planar engagement face which engages a generally planar engagement face of the recess when relative rotation between the housing and the shaft is prevented. The engaged engagement faces can be oblique relative to a radius extending from the axis of rotation to the engaged engagement faces. A method of drilling a wellbore can include flowing a fluid through a drilling motor assembly, thereby rotating a shaft relative to a housing, and rotating the housing, thereby engaging a pawl with a recess and preventing relative rotation between the housing and the shaft, the pawl and recess each having a generally planar engagement face, whereby the engaged engagement faces prevent relative rotation between the shaft and the housing.
Using Government Resettlement Projects as a Sustainable Adaptation Strategy for Climate Change

Given that increasing migration has been addressed as a major consequence of climate change, a growing number of scholars suggest that the planned relocation of people or Government Resettlement Projects (GRPs) should be included in climate change adaptation. This paper reviews the status of climate change and environmentally induced migration in China, and then presents an empirical case study in Shangnan County in northwest China, where a specific GRP called the ‘Massive Southern Shaanxi Migration Program’ (MSSMP) has been initiated in response to climate change-related impacts. The results showed that the MSSMP helped local residents to adapt better climate change by reducing exposures to risk, enabling mobility, providing financial incentives, raising living standards, and improving emotional status. Furthermore, the MSSMP added additional benefits for migrants compared with traditional GRPs by respecting voluntary participation, preparing for future risks, and reducing social isolation via a short relocation distance. However, GRPs could also be seen as a maladaptation to climate change because they disproportionately increase the burden on the most vulnerable community members, such as those who are financially disadvantaged, new migrants, and people who are left behind. The paper further suggests that the GRPs should be designed by involving multiple adaptation strategies as supplements for GRPs, and broadening the political schemes to consider the special needs of vulnerable groups. This study contributes to an understanding of the roles of GRPs in sustainable climate change adaptation, thereby facilitating the design, organization, and implication of future similar programs.
Earth observation and earth gnss data acquisition and processing platform for safe, sustainable and cost-efficient mining operations

The Goldeneye project will implement a unique combination of remote sensing and positioning technologies, exploiting Earth observation and Earth GNSS data, together with data fusion and processing powered by data analytics and machine-learning algorithms. The platform will allow satellites, drones and in-situ sensors to collect high-resolution data of the entire mine, which can be processed and converted into actionable intelligence for safety, environmental monitoring and overall productivity, allowing more efficient exploration, extraction and closure. These tools will be demonstrated in 5 field trials in Germany, Bulgaria, Romania, Kosovo and Finland, creating a compelling value proposition for implementation across the mining industry value chain. The project has a duration of 3 years and an EC funding of €8.36M. The consortium includes a large industrial partner, 7 SMEs, 4 academic/research centres and 4 end-users, supported by a strong advisory board of experts in geosciences.
Identification and analysis of novel mitochondrial proteins encoded by small open reading frames

Mitochondria are essential organelles with crucial roles in cellular energy metabolism, Fe-S cluster biogenesis, signaling and apoptosis. Mitochondrial dysfunction causes encephalomyopathy and neurodegenerative diseases. Mitochondria possess a remarkably high content of small proteins compared to other cellular compartments. About one third of the cellular proteins ≤15 kDa characterized to date are located in mitochondria. Functional examples of such small proteins cover the whole mitochondrial biology like cristae morphology, Fe-S cluster formation, metabolite transport, protein biogenesis and respiration. However, the intracellular localization and function of most small proteins is unknown. These small proteins constitute one third of the uncharacterized open reading frames and even three quarters of the dubious open reading frames in the model organism budding yeast. Taken together we predict that more than 10% of the mitochondrial proteome deserves to be discovered. In an initial study we demonstrated the mitochondrial localization of several uncharacterized small open reading frame (smORF) proteins. MITOsmORFs aims to identify over 100 novel small mitochondrial proteins. MITOsmORFs will determine the submitochondrial localization and the functional role of the novel mitochondrial proteins by genetic, proteomic, metabolomic and lipidomic analysis, including interaction mapping and characterization of mitochondrial activities in vivo and in organello to explore the unknown biology of smORF proteins localized to mitochondria.
COBERTURA VACINAL POR INFLUENZA VÍRUS NOS ESTADOS BRASILEIROS ANTES E APÓS O COVID-19

Objetivo: comparar cobertura vacinal nos Estados brasileiros por Influenza Vírus no período de 2019 a 2020.&#x0D; Metodologia: estudo observacional em que foram utilizados dados do DATASUS. Realizadas análises de séries temporais para a cobertura vacinal no período de 2000 a 2019. Foram ainda realizados teste t de Student comparando a cobertura vacinal contra o Influenza vírus nos anos de 2019 e 2020.&#x0D; Resultados: foram verificadas as variações percentuais anuais (VPA) nos Estados brasileiros dos anos de 2000 a 2019, sendo verificado um percentual estacionário em relação a cobertura vacinal na maioria dos Estados. Em relação a cobertura vacinal contra o Influenza vírus, no período de 2019 e 2020 (campanhas vacinais), verifica-se diferença estatisticamente significativa para os grupos avaliados, exceto indígenas (p=0,97) e total (p=0,19), teste t de Student.&#x0D; Conclusão: A pandemia do COVID 19 prejudicou grupos populacionais quanto a vacinação contra o Influenza vírus, como gestantes, crianças e puérperas.
Modcam – vision sensors with onboard analytics for retail customer analysis

Advances in camera and sensor technology are unlocking remarkable opportunities for in-store retail customer behaviour analysis, enabling retailers to optimize operations based on rich data insights. Using vision sensors, retailers can track customer flow to determine hot and cold zones, promotion effectiveness and queue speed, and gather demographic data. This is far more effective than methods used by chains such as IKEA, which still counts visitors manually bi-monthly, costing €1600. 
The first generation of retail analytics technology is now hitting pain points. Video holds an immense amount of data, and analytics are currently conducted on a remote server, meaning network bandwidth becomes a barrier.
Modcam has developed a cost-efficient technology solution for retail analytics using powerful proprietary vision sensors that can conduct video analytics in the device. This means only statistical information is distributed over the network rather than pixels. 
Using Modcam, a retailer can set up a complete customer analytics system for at least 50% lower costs than current solutions.
Modcam is a Swedish-based SME that launched in 2013 by 4 senior technical professionals combining world-class expertise in computer vision and mobile telecoms. It has obtained one patent and two provisional patents for its methods, and has already produced a commercial batch of its compact sensors.
It has four paying customers, and is in advanced negotiations with eleven companies including IKEA and H&M, with potential full-scale roll-out in up to 6816 stores.
Modcam earns revenue by charging a monthly fee of between 200 SEK and 300 SEK per device. It aims to capture 2% of the retail analytics market in 4 countries by 2020, which translates into 26,000 unit sales annually. This will result in revenue of 75M SEK, an EBIT of 17M SEK and 40 employees.
This feasibility study will prepare Modcam to scale up across new European markets.
Social Media and Mental Health

We provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across US colleges. Our analysis couples data on student mental health around the years of Facebook’s expansion with a generalized difference-in-differences empirical strategy. We find that the rollout of Facebook at a college had a negative impact on student mental health. It also increased the likelihood with which students reported experiencing impairments to academic performance due to poor mental health. Additional evidence on mechanisms suggests the results are due to Facebook fostering unfavorable social comparisons. (JEL D91, I12, I23, L82)
The potential role of an expert computer system to augment the opportunistic detection of individuals with familial hypercholesterolaemia from a community laboratory

Familial hypercholesterolaemia (FH) is the most common monogenic cause of premature atherosclerotic cardiovascular disease (CVD). However, most individuals with FH remain undiagnosed. We sought to determine if an expert system (ES) at a community laboratory could identify information relevant for estimating an individual's likelihood of FH using the Dutch Lipid Clinic Network criteria (DLCNC).An ES (RippleDown®) retrospectively analysed laboratory results and clinical details on the current and previous lipid requests from a community laboratory in Western Australia, over 12months.84,823 individuals had ≥1 LDL-cholesterol request with data available on 84,083 (99.1%). Clinical details were provided on 71,282 (84.8%) individuals' current or previous requests. History relevant to the DLCNC was present in 883 (1.1%) individuals, with premature CVD and non-cardiac vascular disease present in 177 and 64 individuals, respectively. Statin therapy was reported in 5118 individuals; 112 individuals with a current LDL-cholesterol of <6.5mmol/L had a previous LDL-cholesterol of ≥6.5mmol/L.The ES was able to identify information that increased the likelihood of FH in 5471 cases. The ability to detect individuals with premature CVD and to classify them based on their highest LDL-cholesterol may augment FH detection, although further investigation is required to confirm this.
Vic-dioximes: A new class of sensitive materials for chemical gas sensing

Abstract Vic-dioximes, a class of organic chemical compounds, are proposed and characterized for the first time as sensitive materials for volatile organic compound sensing with sorption based chemical gas sensors. Their peculiar sensing properties described in this work originate in the oxime functional group which is a powerful H bond donor interacting strongly but reversibly with H bond acceptors. These specific interactions result in a high preferential enrichment of analyte molecules with H bonding acceptor capabilities in the sensitive material. Accordingly, sensitivity and selectivity for these compounds of vic-dioxime based sensors are high. The advantageous sensing properties are demonstrated in this work with quartz crystal microbalance sensors using 11 selected volatile organic compounds and a set of vic-dioximes varied in their substituents. Vic-dioximes with short alkylthiol substituents were found highly sensitive to such H bond acceptors as organic amines, alcohols, and esters with partition coefficients up to 26,000. At the same time they showed low affinity for aromatic compounds and chlorocarbons. Vic-dioximes are considered powerful sensing materials and interesting for practical use in chemical gas sensor arrays.
Vigo – exploring the role of visuality in governance

VIGO is a study of how visuality affects governance. The project builds on the idea that visuality creates and shares social meaning, thereby shaping governance – intended as the conceptual representation of change in underlying social systems and the efforts to manage or steer the effects of these changes. Visuality’s impact in governance – highlighting an issue’s salience, proposing interpretations, arousing sentiment, and legitimizing or undermining a claim – is so substantial that we can speak of ‘visual governance’. In other words, the pursuit of governance goals can be achieved through systems of visual (re)production at the national and global levels. This is particularly evident if we think of the attention that governance challenges on issues such as migration, climate change, and pandemics have visually attracted. Images of overcrowded migrant boats, starving polar bears on melting glaciers, and infographics showing the latest COVID-19 mortality rates have gone viral. As the adage goes, a picture is worth a thousand words. Yet, surprisingly, scant research has been devoted to understanding the effect that visual representation has on governance. This is precisely where ‘VIGO – Exploring the Role of Visuality in Governance’ will produce crucial insights. By adopting a comparative multi-scalar and multi-modal methodology, the project will be the first of its kind to provide a comprehensive analysis of the role of visuality in (migration) governance. In doing so, VIGO has three key objectives: (1) Contribute to theory-building by conceptualizing visual governance; (2) Explore the role of visuality in governance at the macro, meso and micro levels across two geographic areas (Europe and Canada); and (3) Test innovative methodological approaches in International Relations.
Integrated energy and environmental life cycle assessment of office building envelopes

Abstract Building envelope, which separates the interior conditioned from exterior unconditioned environment of a building, is the key determinant of thermal and energy performance in many types of buildings. The building envelope is primarily designed to restrict the heat transfer between inside and outside in order to regulate the thermal characteristics of the interior environment and reduce the heating, cooling and electric lighting demand of buildings. The key goal of the present research is to examine the life cycle energy and environmental performance of building envelopes by conducting a comparative energy and environmental life cycle assessment (LCA) study of several envelope scenarios in which some of the major components of building envelope vary. The varying components include insulation material, window-to-wall ratio (WWR), window frame material, and double-glazing cavity gas. The generic building model used in this study was a hypothetical 2-story office building with 335 m2 (3600 ft2) of floor area. The results revealed scenarios with low to medium WWR and fiberglass window frame result in the lowest impacts. The research also shows that use phase of the life cycle is the primary contributor to most environmental impact categories for all scenarios.
Developing sales training programs to promote a competitive advantage: linking corporate strategy with human resource development

Purpose – The purpose of this article is to provide a framework for any organization to follow in designing training programs by describing a hypothetical sales training model linked to an organization’s strategic focus. Training strategy shapes the type of training programs provided by organizations. What influences an organization’s training strategy is important to understand if we are to grasp the valuable role training plays in the long-term performance of the organization. Strategic focus provides a framework for organizations to follow when creating specialized training programs. This paper represents an initiative to help put in a broader and clearer context an organization’s strategic focus from which training program initiatives originate. Furthermore, the paper examines how strategic focus influences an organization’s decisions regarding the specific purposes, content and frequency of training. The paper identifies and describes several important dimensions of the conceptual model, as well as the interconnectedness among the dimensions. Design/methodology/approach – This paper describes the link between sales training and an organization’s strategic focus. The use of a conceptual model linking strategic focus with a training program provides a “big picture” perspective showing the link between an organization’s vision and the role training plays in helping to realize this vision. The conceptual model shows the cause and effect link between the strategic focus and the development of training programs. Findings – The model demonstrates how practitioners can move from a strategic, conceptual focus to deliver a training program that represents the ability to implement strategic intent. Practical implications – The conceptual model shows the cause and effect link between the strategic focus and the development of training programs. Originality/value – The value of this conceptual model is to demonstrate the ability to link strategy to specific business activities associated with the implementation of strategy.
Promoting startups and smes as the best place to work through workplace innovation

The Start-at-best proposal will be focused in making STARTups and SMEs (small businesses) the BEST place to work, by promoting and fundings small-scale / big-outreach worlplace innovation projects.
The proposal is coordinated by the Startup Europe Regions Network, a Brussels based associated born under the auspices of the European Startup Europe Initiative and the Committee of Regions, and that groups several national and regional innovation agencies across Europe, and is directly supported by 3 of these agencies. The project will devote more than 78% of its resources to fund startups, through calls for proposals that will allocate grants of 7,5K€ to a minimum of 30 small businesses in Europe.
Our proposal will contribute to making Workplace Innovation easy for SMEs and especially for startups and micro-firms across Europe, by providing financial means to small firms to allow them to experiment new solutions and by developing a strong content basis provided through an easy accessible and clear web site based on an repository of real life, startup-inspired cases that are described in terms of a set of key features and which help to provide answers to companies that are in need for a workplace change. The need and desire to change will be brought to the surface through ways such as workshops, awareness sessions, consulting, etc. Workplace innovation represents a rising tide, but the boats that reach the swell first will be first to succeed.
The partners in this proposal are ideally placed to achieve these goals as they include: a leading European association of regional agencies devotes to startup and SME innovation created under the auspices of the Startup Europe EC initiative, the Startup Europe Regions Network (SERN); and 3 regional/national agencies (ASTER, IT, Cork Innovates, IE and ANI, PT) responsible for the management of SME support funds in their regions, and that will enlarge their support to cover workplace innovation projects through this proposal.
European network of regions on sustainable wood mobilisation

ROSEWOOD is designed to develop regional networks that will connect actors of the wood mobilization value-chain from forest owners to relevant regional authorities but also forestry industry to cover and find answers to the main challenges in the field, especially the sustainability of the wood mobilization. Through the sharing of technological and non-technological innovations, best practice cases and RDI results, this multi-actor approach will close knowledge gaps and create new opportunities for economic partnerships between stakeholders and (inter)regional authorities. ROSEWOOD‘s focus on the transfer of know-how and information will enable and support foresters and regional authorities to exploit innovations and best-practices and facilitate the capture of grass root ideas for forestry development. ROSEWOOD will also provide practitioners with development skills (educational and entrepreneurial) and facilitate organizational innovations leading to novel exploitation chains through the development of a coaching methodology facilitating the uptake of new ideas and best practices. In addition, ROSEWOOD will explore the possible synergies between R&I investment and European Structural and Investment Funds to support the uptake of innovations within the value chain. These actions will contribute to an economically viable and sustainable development in forestry and in rural areas towards the enhancement of an EU Bioeconomy.
ROSEWOOD‘s co-ordination and support actions will be implemented via Wood Mobilization Regional Hubs located within 4 communities across Europe providing greater opportunities for forestry to align its activities with local and regional development plans.
ULTRASOUND BATTERY MANAGEMENT SYSTEMS (U-BMS), AND ENERGY STORAGE SYSTEMS EMPLOYING U-BMS

An energy storage system can comprise a stack of multiple battery modules, a plurality of ultrasound emitter transducers, a plurality of ultrasound receiving transducers, one or more excitation modules, one or more capture modules, and an ultrasound battery management system. Each ultrasound emitter transducer and each ultrasound receiving transducer can be acoustically coupled to a surface of a respective one of the battery modules. The excitation module(s) can be electrically interfaced with the plurality of ultrasound emitter transducers, and the capture module(s) can be electrically interface with the plurality of ultrasound receiving transducers. The ultrasound battery management system controller can be configured to initiate battery module ultrasound interrogation sequences.
A Sawing Process and a Saw Blade for Carrying Same Out

The saw blade has two sorts of teeth. A leading tooth 1 is relatively narrow, and cuts a narrow slot in the workpiece. A following tooth 6 is much wider and enlarges the slot cut by the first tooth 1 by removing material from the walls of the groove. Narrower teeth 1, 2 and wider teeth 6 can be arranged alternately along the length of the saw blade. The cut formed in the wood is of a stepped cross-section. <IMAGE>