SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Workload-Aware DRAM Error Prediction using Machine Learning

The aggressive scaling of technology may have helped to meet the growing demand for higher memory capacity and density, but has also made DRAM cells more prone to errors. Such a reality triggered a lot of interest in modeling DRAM behavior for either predicting the errors in advance or for adjusting DRAM circuit parameters to achieve a better tradeoff between energy efficiency and reliability. Existing modeling efforts may have studied the impact of few operating parameters and temperature on DRAM reliability using custom FPGAs setups, however they neglected the combined effect of workload-specific features that can be systematically investigated only on a real system. In this paper, we present the results of our study on workload-dependent DRAM error behavior within a real server considering various operating parameters, such as the refresh rate, voltage and temperature. We show that the rate of single- and multi-bit errors may vary across workloads by 8x, indicating that program inherent features can affect DRAM reliability significantly. Based on this observation, we extract 249 features, such as the memory access rate, the rate of cache misses, the memory reuse time and data entropy, from various compute-intensive, caching and analytics benchmarks. We apply several supervised learning methods to construct the DRAM error behavior model for 72 server-grade DRAM chips using the memory operating parameters and extracted program inherent features. Our results show that, with an appropriate choice of program features and supervised learning method, the rate of single- and multi-bit errors can be predicted for a specific DRAM module with an average error of less than 10.5 %, as opposed to the 2.9x estimation error obtained for a conventional workload-unaware error model. Our model enables designers to predict DRAM errors in advance for less than a second and study the impact of any workload and applied software optimizations on DRAM reliability.
MOND-Like Acceleration in Integrable Weyl Geometric Gravity

In this paper a Weyl geometric scalar tensor theory of gravity with scalar field $\Phi$ and scale invariant cubic ("aquadratic") kinetic Lagrangian is introduced. Einstein gauge (comparable to Einstein frame in Jordan-Brans-Dicke theory) is most natural for studying trajectories. In it, the Weylian scale connection induces an additional acceleration which in the weak field, static, low velocity limit acquires the deep MOND form of Milgrom/Bekenstein's gravity. The energy momentum of $\Phi$ leads to another add on to Newton acceleration. Both additional accelerations together imply a MOND-ian phenomenology of the model. It has unusual transition functions. They imply higher phantom energy density than in the case of the more common MOND models with transition functions $\mu_1(x), \, \mu_2(x)$. A considerable part of it is due to the scalar field's energy density which, in our model, gives a scale and generally covariant expression for the self-energy of the gravitational field.
METHOD FOR PRODUCING MINERAL FIBRES

The present invention relates to a method for producing mineral fibres by internal spinning using a device comprising a basket and a fibre spinner suitable for turning jointly about a rotating axis, the basket comprising an annular wall perforated with a plurality of orifices and the fibre spinner comprising an annular wall perforated with a plurality of orifices, said method comprising: - supplying the basket with material to be turned into fibre at a temperature Ta; - and spinning the material to be turned into fibre by jointly rotating the basket and the fibre spinner, characterised in that the factor F is greater than 2000, the factor F being defined by (formula I) in which µa is the viscosity of the material to turn into fibre at the temperature Ta; d is the distance between the annular wall of the basket and the annular wall of the fibre spinner; N is the number of orifices of the basket; and Q is the supply rate of the material to be turned into fibre.
StarEU

Start-ups and spin-outs (when existing businesses form new companies) promote future development. They form the target group of the program StarEU. To simplify matters, in this project the term „start-up“ covers both start-ups and spin-outs. In Tyrol, in South-Tyrol and in Trentino there have been efforts over the past years to implement a start-up ecosystem on a regional level. But only joint efforts will fulfill the main goal: to build a dynamic ecosystem for start-ups and to persist internationally. Therefore Tyrol and South-Tyrol decided to carry out the project together with Trentino, which is outside the Interreg-Program-Area: Nevertheless, the strengths of Trentino complete both regions ideally in order to build a sustainable, dynamic ecosystem. _x000D_
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The project offers the unique opportunity to develop the Euroregion Tyrol as a region for start-ups on a European level. Thereby shall be built upon existing strengths. New tools from the international start-up hotspots shall be integrated. The importance of this project was acknowledged by the governors of the three regions (resolution in the EGTC-Board 28/05/2015)._x000D_
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The main goal is to successfully build a sustainable start-up ecosystem and to create an interregional start-up network with a minimum of 100 active members. At least 300 projects shall be_x000D_
supported, which should lead to more than 80 start-ups and more than 100 co-operations. Finally more than 60 business angels shall be integrated in a network for investors.
WATER-FREE PHARMACEUTICAL COMPOSITIONS SUITABLE FOR LOCAL ANAESTHETICS

The present invention relates to a water-free pharmaceutical composition comprising one or more local anaesthetics in base form and which is suitable for topical administration. The composition further comprises a lipid vehicle comprising long-chain triglycerides (LCT) and at least 10 % by weight of medium-chain monoglycerides (MCM) selected so the composition has an at least semi-solid appearance at the body temperature at the site of administration. The invention further relates to methods of producing and sterilizing the compositions.
Impact of the COVID-19 pandemic on stage at diagnosis of patients with breast cancer: An analysis of 11,752 patients from Oncoclínicas.

10559 Background: As a reaction to the COVID-19 pandemic, a nation-wide lockdown was enforced in Brazil in March 2020, cancer care was impacted, and cancer screening reduced. Therefore, an increase in cancer diagnoses at more advanced stages was expected. In this study, we extracted data from our nationwide real-world database to evaluate the impact of the COVID-19 pandemic on the stage at diagnosis of breast cancer (BC) cases. Methods: We explored curated electronic medical record data of female patients, over 18 years of age, diagnosed with BC and with established disease stage based on the AJCC 8 th edition, who started treatment or follow-up in the Oncoclínicas (OC) between Jan 1, 2018, and Dec 31, 2021. The primary objective was to compare stage distribution at first visit during COVID-19 pandemic (2020-2021) with a historical control cohort from a period prior to the pandemic (2018-2019). We investigated stage distribution according to age at diagnosis and tumor ER/HER2 subtype in univariate models. Associations were considered significant if they had a minimum significance (P &lt; 0.1 in Chi-square test). The historical numbers of patients with BC at OC make it possible to identify differences in the prevalence of stages in the order of 5% comparing pre and post pandemic periods with a statistical power greater than 80%. Results: We collected data for 11,752 patients with initial diagnosis of BC, with 6,492 patients belonging to the pandemic (2020-2021) and 5,260 patients to the pre-pandemic period (2018-2019). For both ER+/ HER2- and HER2+ tumors, there was a lower percentage of patients with early-stage (defined as stage I-II) in the years 2020-2021 vs 2018-2019 and a considerable increase in advanced-stage disease (defined as stage IV). For triple negative BC (TNBC), there was a significant higher percentage of patients with advanced-stage disease in the pandemic vs pre-pandemic period (table 1). Age over 50 years was associated with a greater risk of advanced stage at diagnosis after the onset of the pandemic, with an absolute increase of 7% (P two-sided &lt;0.01) Conclusions: We observed a substantial increase in cases of advanced-stage BC in OC institutions as a result of delays in BC diagnoses due to the COVID-19 pandemic. The impact appeared greater in older adults, potentially because of stricter confinement in this group. [Table: see text]
Bioaccessibility of Se, Cu, Zn, Mn and Fe, and heme iron content in unaged and aged meat of Hereford and Braford steers fed pasture

The content and the bioaccessibility of Se, Cu, Zn, Mn, and Fe were determined in unaged and aged meat (14days) from the Psoas major (PM), Gluteus medius (GM) and Longissimus dorsi (LD) muscles of Hereford (H) and Braford breed (B) steers fed pasture. Furthermore, the content of heme-Fe was determined in the same muscles. The H had a lower content of Cu and a higher content of Fe. Also, H had more heme-Fe than B. The bioaccessibility in unaged meat for Se, Cu, Zn, Mn and Fe ranged between 75 and 91%, 30 and 45%, 40 and 68%, 55 and 95%, and 60 and 70%, respectively. After aging, the bioaccessibility for the same minerals ranged between 58 and 80%, 30 and 48%, 40 and 58%, 75 and 95%, and 59 and 70%, respectively. Aging affected negatively the Se content and its bioaccessibility, in the two breeds. Also, the heme-Fe content was negatively affected by aging in all muscles and breeds.
Commercial feasibility of a quantitative ultrasound medical device: a patient-specific decision support system for the estimation of dental implant stability

Dental implants are widely used to replace missing teeth, with more than 4 000 000 implant surgery per year in Europe. Failures still occur because of a bad timing in the implant loading with the prosthesis, inducing pain and increased costs for dental surgeons. Although implant primary and secondary stability is the main determinant of the implant success, it remains difficult to be assessed in clinical practice. 
OsseoWave is based on the results obtained in the ERC CoG project Boneimplant and aims at developing and validating a medical device consisting in a decision support-system allowing the surgeon to assess dental implant stability. Such medical device is needed by the clinicians in order to adapt their surgical strategy. The objective of OsseoWave is i) to achieve a minimum viable product (MVP) that will be validated in vitro and in vivo, and ii) to investigate its commercial potential and design a subsequent commercial exploitation strategy via spin-off creation or licensing of the technology. The originality of the approach is to use quantitative ultrasound, a non-invasive, non-radiating, portable and cheap technique, which constitute a technological rupture.

Regulatory issues will be at the heart of the development and we will work in order to clear the regulatory pathway of the future medical device. Post-OsseoWave, the MVP will be ready to go through CE marking application. The team is constituted by members with complementary skills (including engineers, a business developer and maxillofacial and veterinary surgeons experts in implantology). 
 OsseoWave will allow the promotion of innovative solution and services in dental implantology. The long-term vision is for the technology to become a reference in dental implant surgery. Strong impacts are associated to OsseoWave and in particular for the surgeons, the patients, the implant manufacturer, the technology and the economy.
Performing Global at IntelStar: Figuring the Call Center on Manila Stage

Set in Makati, the central business district of the National Capital Region, Welcometo IntelStar is a monodrama satirizing the call center industry in the Philippines.The performance is an exemplar in positioning a diasporic consequence ofglobalization vis-a-vis nationalism because it calls on a national sentiment to theextent that the play illustrates resistance to globalization’s economic and neoliberalattachments, often perceived as the destructive force of cultural diversity anduniqueness. In relation, the performance used a recurring trope in Philippineculture, which is called in the essay as the Americanization issue: the conception ofthe Filipino/a as a master mimic of other cultures, particularly the American one.Overall, Welcome to IntelStar falls short in its criticism of globalization becauseit isolated the phenomenon within the politics of the market. But nevertheless,the play allows the Filipino body, through its protagonist Chelsea, to be “visible.”With her “expertise” at imitation, Chelsea’s visibility destabilizes the global order.Chelsea’s mimicry is not simply about wanting to be like those who are imitated,but a strategy to assert a sense of self. This imitative performance implies selfconsciousnessand intimacy to the one being imitated. In this way, mimicry as selfactualizationis a creative strategy and has the potential to overthrow hierarchies ofglobalization in neo-colonial and neo-imperial orders.
Evolution of low-latitude climates and monsoon onset

Reconstructing past climate provides a powerful means to investigate how human-induced warming may be manifested in global climate. Over the last 65 million years, Earth experienced periods of extreme warmth with elevated greenhouse gas concentrations similar to projections of future climate. Of particular importance is understanding how low-latitude climate may respond to this warming due to its significance on both a local and global scale. At the local scale, low-latitude climate exerts a significant influence on the socio-economies of Earth’s most densely populated regions. Whilst at the global scale, low-latitude derived heat and moisture gets distributed poleward via a dynamic interplay of oceanic-atmospheric interactions. Thus, it is critical to fully understand a) how the low-latitudes will respond to this warming and b) the respective feedbacks on global climate. Yet characterisation of low-latitude climate during periods of warmer-than-modern climates is poorly constrained due to lack of data and limitations with the proxy methods applied to reconstruct climate variables (e.g. sea surface temperature (SST)). The past decade has seen the development of a new temperature proxy, clumped isotope thermometry, that does not suffer from the same limitations as other methods. ELMO will generate the first clumped isotope-based low-latitude records of SST and hydroclimate across the Cenozoic, including warm intervals that serve as analogues for future climate, from fossil carbonate shells (foraminifera). The novel analytical approach combining low (clumped isotopes)- and high-resolution (in-situ trace element analysis) methods will yield temperature reconstructions on a range of timescales relevant for assessing the different aspects of low-latitude and global climate evolution. ELMO will also, through comparison, provide new insights on methods of climate reconstruction applied thus far and lead to a more reliable picture of past climate in the low-latitudes.
Identification of genes associated to 2′,2′-difluorodeoxycytidine resistance in HeLa cells with a lentiviral short-hairpin RNA library

Resistance to the cytotoxic nucleoside analog 2',2'-diflurodeoxycytidine (dFdC) used in cancer chemotherapy is a frequent cause of treatment failure. Although several molecular mechanisms that cause resistance to dFdC have been identified, many cells acquire dFdC resistance by unknown mechanisms. We have used a short-hairpin RNA (shRNA) library in a lentiviral vector that contains ≈5000 shRNAs designed against genes encoding kinases, phosphatases, tumor suppressors and DNA binding proteins to perform a loss-of-function screen to identify genes causing dFdC resistance in HeLa cells when their expression is decreased. 155 cell lines with shRNA expression were isolated from the screen and several of these cell lines were in repeated experiments verified to show resistance to dFdC compared to wild-type cells. DNA sequencing of the shRNA vector integrated in the cellular genome was used to determine the shRNA expressed in the cells and the putative target genes were identified by sequence analysis. 16 cell lines with putative target genes previously not associated to dFdC resistance were identified. Chemically synthesized short-interfering RNAs (siRNAs) directed against the target genes were used to verify that the decreased expression of the identified genes caused dFdC resistance. Using these techniques we identified two splicing factor proteins, serine/arginine-rich splicing factor 3 (SRSF3) and splicing factor proline/glutamine-rich (SFPQ), that induced resistance to dFdC as well as other pyrimidine nucleoside analogs when their expression was decreased in HeLa cells.
FDI from Japan in Indonesia on General Machinery, Electrical Machinery,and Transportation and Equipment Manufacturing: An Econometrics Analysis Approach

Foreign Direct Investment (FDI) is an important factor in the economic development of developing countries, since it plays important roles in the transfer of technology knowledge, employment, and human resources development, and in turn the investors can receive significant revenues from the lower production costs. Many studies of FDI have examined these FDI-related transfers from developed to developing countries, and even between developed ones. This study mainly focuses on Outward Foreign Direct Investment (OFDI) from Japan and the explanatory variables which affect it. Since the author’s home country is Indonesia, this work aims to explore OFDI from Japan in Indonesia, and its correlation with the real exchange rate volatility of Indonesian rupiah against American dollars, Japanese yen and the average labor wage, as well as to present brief explanation of Indonesia’s economic policy. The research methodology is split into two major parts. The first stage calculates the real exchange rate volatility for which the mathematical formula is taken from Kiyota and Urata (2004). Afterwards, in order to find the correlation between the three of affecting variables and FDI from Japan manufacturing firms invested in Indonesia, both of the variables are analyzed using a multiple regressions with OLS (Ordinary Least Square) method. This work is a form of empirical research with secondary data source, or quantitative study since the raw data are obtained from several open source statistical time series of data. Last but not the least, the author hoped that this study can enrich the literature on FDI and have valuable contributions to the work of both scholars and practitioners, particularly to the development of the future research from the framework of this study.
Reservation wages, market wages and unemployment: Analysis of individual level panel data

Using individual level panel data, we analyse the divergence between the reservation wages of individuals who are out of work and their predicted market wages, focusing upon identifying the factors that influence the potential divergence. In addition, using propensity score matching techniques, we explore the implications of such divergences for future employment and wages. Our findings suggest that having reservation wages that are high relative to the predicted market wage influence both future employment and future wages. ► Individual level data about reservation wages for those currently not in employment. ► Investigate how realistic reservation wages are in comparison to the market wage. ► Explore how deviations from the market wage influence future likelihood of employment.
Energy transitions research: Insights and cautionary tales

This short essay first reviews the pioneers of energy transition research both in terms of data as well as theories. Three major insights that have emerged from this nascent research fields are summarized highlighting the importance of energy end-use and services, the lengthy process of transitions, as well as the patterns that characterize successful scale up of technologies and industries that drive historical energy transitions. The essay concludes with cautionary notes also derived from historical experience. In order to trigger a next energy transition policies and innovation efforts need to be persistent and continuous, aligned, as well as balanced. It is argued that current policy frameworks in place invariably do not meet these criteria and need to change in order to successfully trigger a next energy transition towards sustainability. ► Includes the first literature review of early energy transition research. ► Summarizes three major research findings from the literature. ► Reviews policy implications of recent case studies of energy technology innovation. ► Argues that current policy frameworks are deficient in view of above lessons.
Is microbial fuel cell technology ready? An economic answer towards industrial commercialization

Over the last decade, Microbial Fuel Cells (MFCs) have experienced significant scientific and technological development, to the point of becoming close to commercialization. One key assessment that clearly establishes whether one technology can fully enter the market is the profitability demonstration. For this demonstration, classical evaluation criteria for investment decisions such as the Net Present Value and the Internal Rate of Return can be applied to a given proposal. This paper presents an economic assessment of a microbial fuel cell in a juice processing plant. Three different scenarios, optimistic, pessimistic and most likely scenarios based on the maximum power density of the cell on two basic MFC cases (cathodes with and without Pt, respectively), were studied and compared to the conventional activated sludge process. The results show that under most of the scenarios under consideration, including the pessimistic one, MFC is a more attractive option. Furthermore, a sensitivity analysis was performed with respect to the electrode area, and the annual growth rate of the electricity pricing has revealed that the electrode area parameter is the most influential, reducing the MFC profitability for larger electrode areas, whereas the higher the annual growth rates of the electricity price, the higher the MFC profits. In summary, the results of this study show that the implementation of MFC is a promising alternative to the use of classical aerated activated sludge, and it has potential economic benefits.
Apparatus for measuring an a.c. current in a cable

An apparatus for measuring alternating current in a conductor comprises first and second coils a 1 <SUB>x</SUB>, d 1 <SUB>x </SUB>having substantially the same turns-area product and substantially parallel axes and located on the circumference of a circle with the first coil having its axis tangential to the circle and the second coil having its axis radially of the circle, and third and fourth coils a 1 <SUB>y</SUB>, d 1 <SUB>y </SUB>also having substantially the same turns-area product and substantially parallel axes, the third and fourth coil means being located on the circumference of the same circle close to the first and second coil means respectively but having their axes orthogonal thereto. The coils are mounted on a support means configured to allow a conductor to be introduced into the centre of the said circle with the axis of the conductor normal to the plane containing the coils. The first and second coils are connected in series in anti-phase and the third and fourth coil means are connected in series in anti-phase, and the alternating current in the conductor is derived as a function of the voltages induced in the series-connected first and second coils and the series-connected third and fourth coils. Further coils are provided for interference suppression and signal enhancement.